Ijciet 10 01_040

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International Journal of Civil Engineering and Technology (IJCIET)
Volume 10, Issue 1, January 2019, pp.420–443, Article ID: IJCIET_10_01_040
Available online at http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=10&IType=1
ISSN Print: 0976-6308 and ISSN Online: 0976-6316
©IAEME Publication Scopus Indexed
ANALYSIS OF PRODUCTIVITY EFFICIENCY
OF FOOD PLANT AGRICULTURE IN EAST
JAVA BASED ON DEA INDEX
Abid Muhtarom
Islamic University of Lamongan, Faculty of Economics, Indonesia;
Airlangga University, Department of Economics, Indonesia
Tri Haryanto, Nurul Istifadah
Airlangga University,Department of Economics, Indonesia
ABSTRACT
The efficiency of food crop agriculture is a fairly common and used performance
parameter, efficiency measurement is widely used to answer the challenges of
calculating the size of agricultural crops. This research uses a method called Data
Envelopment Analysis (DEA) to measure technical efficiency. DEA method from one
company is a non-parametric analysis method which aims to measure the level of
efficiency relative to the productivity unit that has the same goal. The productivity unit
is here in the form of a decision-making unit (DMU) where the DMU in this study is
the food crop agriculture sub-sector 29 districts in East Java. The results of this study
can be studied as many as 93.
Keywords: DEA, Land, Labor, and productivity.
Cite this Article: Abid Muhtarom, Tri Haryanto and Nurul Istifadah, Analysis of
Productivity Efficiency of Food Plant Agriculture In East Java Based On Dea Index,
International Journal of Civil Engineering and Technology (IJCIET), 10 (1), 2019, pp.
420–443.
http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=10&IType=1
1. INTRODUCTION
East Java Province is one of the provinces in Indonesia that relies on the agricultural sector of
food crops as a driving force for the economy. East Java Province is known as a province that
has great attention to the progress of food crop agriculture . Large crop agricultural
productivity can increase regional GDP in aggregate in Bhattarai & Narayanamoorthy,
(2003) and Majid, (2004).The second largest East Java GRDP after the industrial sector is the
agricultural sector, where the Food Crop sub-sector provides a large contribution compared to
the agricultural and hunting services sub-sector, the Plantation sub-sector, the Livestock sub-
sector, and the Holtukultur Crop sub-sector.

Analysis of Productivity Efficiency of Food Plant Agriculture In East Java Based On Dea Index
http://www.iaeme.com/IJCIET/index.asp 421 editor@iaeme.com
Agricultural land is needed in increasing the productivity of agricultural crops according
to Irz, Lin, Thirtle, & Wiggins, (2001). East Java Province has agricultural land which
continues to decline throughout the year because it is caused by experts in the function of land
to be residential and industrial. According to Bayyurt & Yılmaz, (2012) even though the
government carried out agricultural land regulation had a negative impact or continued to
decline. However, if the government does not provide a regulation to ban functional experts, it
can be ascertained that the productivity of agricultural crops will decline according toKheir-
El-Din & Heba El-Laithy, (2008).
In addition to agricultural land, the productivity of food crops is urgently needed, and also
requires labor to carry out their production according toTravers & Ma, (1994). Labor also has
a good and bad impact on increasing productivity in the agricultural sector. Because the
higher the number of workers with a little land area will have an impact on decreasing
agricultural productivity in Kheir-El-Din & Heba El-Laithy,(2008). East Java Province must
be aware of this phenomenon, because we know that more and more people cannot work in
the industrial sector and their services will enter the agricultural sector. The agricultural sector
is a sector that does not require high skills(Yutanto, Shonhadj, Ilham, & Ekaningtias, 2018).
Efficiency of food crop agriculture is a performance parameter that is quite often and
commonly used, efficiency measurement is widely used to answer the challenges of
difficulties in calculating measures of food crop agriculture performance. Calculation of the
level of land area, labor, irrigation and rainfall is usually used to show good performance
results, but this calculation is sometimes not included in the criteria of good food crop
agriculture that can answer the problems of food crop agriculture. Measurement of efficiency
of food crop agriculture can be done using nonparametric methods, in this case using an
approach to calculate the efficiency of food crop agriculture, namely Data Envelopment
Analysis (DEA) to analyze the level of efficiency of food crop agriculture from Districts in
East Java according toCooper, Seiford, & Zhu, (2011).
2. REVIEW OF LITERATURE
According toTravers & Ma, (1994) results of analysis of technological improvements,
prices, fertilizer and irrigation can increase agricultural productivity food crops and reduce
poverty .According to Irz et al., (2001)results of analysis of agricultural growth as well food
crops can be done by adding agricultural land, along with supporting tools.Agricultural
technology should be used to get more and more satisfying results.
According to(Bayyurt & Yılmaz, 2012) the results of the analysis of increasing irrigation
rates and literacy rates in rural areas are two factors, the most important of all is that they
know, the knowledge of agriculture and growing food crops so that it can reduce
poverty.According to Majid, (2004)the results of the analysis of factors in farmer income,
food prices, GINI ratio, labor, total population and inflation can reduce poverty.
According to Kheir-El-Din & Heba El-Laithy, (2008) TFP analysis results reduce
poverty by 0.241 percent , higher productivity of agricultural food crops will result in lower
poverty rates, -1,377 ,increase in yields do not benefit the poor, increase in land results in a
decrease in poverty by 1.464, increase THIS one percent G index will increase poverty by
1.62 percent.According to Bayyurt & Yılmaz, (2012) the results of government
regulation analysis havea positive effect on agricultural efficiency.
Education has a negative influence on agricultural efficiency food crops . The result can
be interpreted that the higher the level of education the more farmers leave the work of
farmers.According toDhrifi, (2014) analysis results of poverty reduction per capital income
of 0.25%, a decrease in household consumption expenditure by 0.21 points, which

Abid Muhtarom, Tri Haryanto and Nurul Istifadah
decreases poverty level,growth of foodcrop agriculture can reduce poverty by
32% , technology innovation reduces poverty by 18%.
3. RESULTS AND DISCUSSION
This research uses a method namely Data Envelopment Analysis (DEA) to measure technical
efficiency. DEA method is a non-parametric analysis method that aims to measure the level of
technical efficiency relative to other production units that have the same objectives. The
production unit is here in the form of a decision making unit (DMU) where the DMU in this
study is a food crop agricultural sub-sector 29 districts in East Java.
This study focuses for 8 years ie in 2010 until 2017. The input variables used in this
research is the area of land and labor (labor), while Productivity become the output
variable. The Linear Programming (LP) function that is carried out in this approach uses the
assumption of output oriented , so the objective function that is applied is the maximizing
function of output with the input level that isceteris paribus. DEA analysis of this one
stage uses MaxDEA 7 Basic software .
In this measurement of technical efficiency, it will use output oriented measurement
with one measurement scale assumption, namely Variable Return to Scale (VRS) with a
DEA one stage approach . A sum is needed to be able to produce technical efficiency values
for each Regency in East Java based on VRS assumptions, but it is also intended to estimate
the value of the efficiency scores of each Regency in East Java from year 20 10 to 2017 .
3.1. Dea Model
The following is a model of technical efficiency analysis assuming VRS with the DEA one
stage approach : VRS Model Measurement of Technical Efficiency Oriented to Output
( Output Oriented )
Max Ф, λФ,
st-Фyi + Qλ ≥ 0
xi - Xλ ≥ 0
I1'λ = 1
λ ≥ 0 ………………… (3.1)
Where : Ф = efficiency score; λ = Ix1 vector constant or obstacle vector; yi = output
vector i; xi = input vector i; Q = Matrix ouput i keselu Ruhan; X = input matrix i overall
The model above is a VRS model with an output-oriented approach where the variable
ukkan shows the calculation of technical efficiency (Coelli, Prasada Rao, O’Donnell, &
Battese, 2005)with a value of Ф between 1 to ∞ (infinity), and Ф - 1 representing proportional
increase in output that can be achieved by DMU with a constant input quantity. λ is I x1
vector of constants and I1'λ = 1 is convexity constraint, with I 1 being I x1 vector of
one. Convexity constraints show that variable return to scale (VRS) which ensures that
companies are inefficient will only be compared with companies that have the same
scale. There is a note that 1 / Ф indicates the value of technical efficiency which assumes
values at interval levels 0 to 1.

4. RESULT AND ANALYSIS
4.1 Results of Estimates on the efficiency of food crop agriculture in East Java
Province
The results of the estimation of technical efficiency describing food crop agriculture using
the DEA method one stage can be seen in graph I. The technical efficiency score ranges from
0 to 1. An assessment of score 1 shows that food crop agriculture reaches an efficient
condition. While food crop agriculture in an ineffective condition has a technical efficiency
score of less than 1.
Graph 1. Productivity of food
Based on Graph I, it can be seen that as many as 93.1 percent (29 districts) in East Java
Province in the period 2010-2017 have an average score of efficiency of less than 0 , 69,
while the rest have achieved an average technical efficiency of more than 0.31.
So that it can be said that food crop agriculture in 2010-2017 estimates inefficiency by 31
percent and has the potential to increase output by 69 percent so that the conditions are
efficient.
Graph I above shows the DEA one stage technical efficiency score in 2010-2017. On the
other hand, Sidoarjo Regency is the most inefficient DMU with the acquisition of an
efficiency score of 0.20-0.25 in 2010-2017. But there is also one Kabupaten Gresik that also
has an ineffective DMU from 29 Regencies in East Java with the acquisition of an efficiency
score of 0.28-0.35 in 2010-2017.
These two districts have a tendency to improve the efficiency of food crops throughout the
year according to Hanaa Kheir-El-Din and Heba El-Laithy (2008) . This is due to the
development of the center of the provincial capital of East Java to the area of Sidoarjo
Regency and Gersik Regency, making it an expert in the function of agricultural land which
used to be an agricultural area and a residential area. Sidoarjo regency has extensive
agricultural land, but because small-scale ownership (subsitaries) by the community makes a
choice to use agricultural land or sell at high prices to the owners of capital to be used as
settlements or industries. If food crops are implemented, the landowners will also be burdened
by high labor costs, rejecting (Irz et al., 2001; Travers & Ma, 1994).
Third, Gresik Regency is an area with almost the majority of its area being
industrial. Agricultural problems there are due to the large size of Litosol land where this type
of soil is very difficult for agriculture. High labor costs compared to agricultural products
make it an obstacle to agricultural productivity according to(Bayyurt & Yılmaz, 2012; Kheir-
El-Din & Heba El-Laithy, 2008),rejected Dhrifi, (2014).

The technical estimation of food crop agriculture in East Java can be seen in Figure 1.
There are 8 efficient districts but in different years. First, Trenggalek District has an efficient
area since 2010-2012 and 2016, where inefficiency occurred in 2013-2015 and 2017. The
problem of food crop farming was broken down that year so that inefficiencies occurred were
experts in the function of land and labor in the high agricultural sector, although this area
contributed the largest regional income (Qi et al., 2018).
Figure 1. Agriculture east java food crops efficiency
Secondly, based on figure 1 efficiency occurred in 2010, 2012, 2014 and 2016, while in
2011, 2013 and 2015 there was inefficiency. The problem of food crop farming in Pacitan is
the area of small agricultural land and the small number of workers in the agricultural sector,
plus people who live a lot in subsitant agriculture for personal needs. Third, efficiency occurs
in Malang Regency in 2015, while in 2010-2017 except 2015 agricultural inefficiencies
occur. This problem occurs because the occurrence of expert land functions into settlements is
also due to the large workforce. Fourth, Magetan Regency in 2010 was an agricultural area,
but because experts in land functions were large enough to influence the productivity of
agricultural crops since 2011-2017 and mapping the lack of regional governance that had an
impact on agricultural areas where fertile land became settlements and tourism. Fifth,
Lumajang Regency in 2010 was an area similar to magetan but different types of soil and soil
fertility.
Sixth, Regency Jember in 2010 was East Java's rice barn, but the food crop sector, but the
existence of development made a good area for agriculture to turn into settlements and
industries, so that 2010-2017 continued to decline in productivity. Seventh, Blitar Regency in
2010 happened agricultural efficiency the same problem with Magetan Regency. Eighth,
Banyuwangi Regency in 2010,2013 and 2015 is one of the East Java Province rice barns
because in that year agricultural productivity increased with government regulations that
prohibited the construction of the (Agovino, Cerciello, & Gatto, 2018; Kaim, Cord, & Volk,
2018).

5. CONCLUSION
This is due firstly, because of the development of the center of the provincial capital of East
Java to the area of Sidoarjo Regency and Gersik Regency, it has become an expert in the
function of agricultural land which used to be an agricultural area and a residential
area(Ilham, 2018).
Second, Sidoarjo Regency has extensive agricultural land, but because small-scale
ownership (subsiten) by the community makes a choice to use agricultural land or sell at high
prices to the owners of capital to be used as settlements or industries. If food crops are
implemented, the landowners will also be burdened by high labor costs, rejecting Irz et al.,
(2001); Travers & Ma, (1994).
Third, Gresik Regency is an area with almost the majority of its area
beingindustrial. Agricultural problems there are due to the large size of Litosol land where
this type of soil is very difficult for agriculture. High labor costs compared to agricultural
products make it an obstacle to agricultural productivity according to (Bayyurt & Yılmaz,
2012; Dhrifi, 2014; Kheir-El-Din & Heba El-Laithy, 2008).
ACKNOWLEDGE
Thank you to both parents and extended family, colleagues and siblings, Lamongan Islamic
University and Trunojoyo Madura University, Airlangga University Surabaya Partner and
staff. The Chair of the Doctoral Program in Economics, the Promoter who always supports
and assists in the joys and sorrows. BUDI-DN scholarships that provide financial assistance
REFERENCES
[1] Agovino, M., Cerciello, M., & Gatto, A. (2018). Policy efficiency in the field of food
sustainability. The adjusted food agriculture and nutrition index. Journal of Environmental
Management, 218, 220–233. https://doi.org/10.1016/j.jenvman.2018.04.058
[2] Bayyurt, N., & Yılmaz, S. (2012). The Impacts of Governance and Education on
Agricultural Efficiency: An International Analysis. Procedia - Social and Behavioral
Sciences, 58, 1158–1165. https://doi.org/10.1016/j.sbspro.2012.09.1097
[3] Bhattarai, M., & Narayanamoorthy, A. (2003). Impact of Irrigation on Agricultural
Growth and Poverty Alleviation: Macro Level Analyses in India. Water Policy Research,
8.
[4] Coelli, T. J., Prasada Rao, D. S., O’Donnell, C. J., & Battese, G. E. (2005). An
introduction to efficiency and productivity analysis. An Introduction to Efficiency and
Productivity Analysis. https://doi.org/10.1007/b136381
[5] Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Data Envelopment Analysis: History,
Models, and Interpretations. Handbook on Data Envelopment Analysis - International
Series in Operations Research & Management Science (Vol. 164). Springer
Science+Business Media, LLC 2011.
[6] Dhrifi, A. (2014). Agricultural Productivity and Poverty Alleviation: What Role for
Technological Innovation. Journal of Economic and Social Studies, 4(1), 131–151.
https://doi.org/10.14706/JECOSS11418
[7] Ilham, R. (2018). Improve Quality Of E-Loyalty In Online Food Delivery Services : A
CASE OF INDONESIA. Journal of Theoretical and Applied Information Technology,
96(15), 4760–4769.
[8] Irz, X., Lin, L., Thirtle, C., & Wiggins, S. (2001). Agricultural Productivity Growth and
Poverty Alleviation Theoretical expectations of the effects of agricultural growth on
poverty. Development Policy Review, 19(4), 449–466.

[9] Kaim, A., Cord, A. F., & Volk, M. (2018). A review of multi-criteria optimization
techniques for agricultural land use allocation. Environmental Modelling and Software,
105(April), 79–93. https://doi.org/10.1016/j.envsoft.2018.03.031
[10] Kheir-El-Din, H., & Heba El-Laithy, H. (2008). Agricultural productivity growth
employment and poverty in Egypt. Working Paper Series, 129(129), 34.
[11] Majid, N. (2004). Reaching Millennium Goals: How Well Does Agricultural Productivity
Growth Reduce Poverty? Employment Strategy Papers, 38.
[12] Qi, X., Fu, Y., Wang, R. Y., Ng, C. N., Dang, H., & He, Y. (2018). Improving the
sustainability of agricultural land use: An integrated framework for the conflict between
food security and environmental deterioration. Applied Geography, 90(November 2017),
214–223. https://doi.org/10.1016/j.apgeog.2017.12.009
[13] Travers, L., & Ma, J. (1994). Agricultural productivity and rural poverty in China. China
Economic Review, 5(1), 141–159. https://doi.org/10.1016/1043-951X(94)90019-1
[14] Yutanto, H., Shonhadj, N., Ilham, R., & Ekaningtias, D. (2018). Development Of Parking
Accounting Information Systems Based. International Journal of Civil Engineering and
Technology, 9(8), 1013–1022.
Data source:
[15] https://jatim.bps.go.id/subject/162/produk-domestik-regional-bruto--kabupaten-kota-
.html#subjekViewTab3
[16] http://prasarana.pertanian.go.id/lahanmy/
[17] http://prasarana.pertanian.go.id/tenagakerjamy/?page=home
Table I Review of Previous Research
NO Researcher Country Method used Analysis Results
1 Lee Travers and Jun
Ma (1994)
China -DEA, Dependent variable
(Y): Food
cropproductivity and poverty
Independent variable
(X): technology, labor,
fertilizer and irrigation
-R 2 of 0.833
- food crop agricultural products (+)
-poverty (-)
-technology (-)
workforce (+)
-fertilizer (+)
- irrigation (-)
2 Xavier Irz, Lin Lin,
Colin Thirtle and Steve
Wiggins (2001)
South
Africa
-DEA
-Production: the number of
poor people, the level of
poverty, labor and land
-Poverty: value added / labor
and value added / land
-Proconductivity(+): the number of
poor (-), poverty (-), labor (+) and
land (+)
-Poverty (-): value added / labor (-)
and value added / land (-), R 2 =
0.088
3 Madhusudan Bhattarai
and A.
Narayanamoorthy, ( 200
3 )
India -DEA
-TFP
-Variable variable (Y):
Agricultural cropproductivity a
nd poverty
-Independent variable
(X): Irrigation, selling price,
land area and fertilizer
-costanta (+)
-R 2 = 0.53
-poverty (-)
- irrigation (-)
-selling price (-)
-fertilizer (+)
- Extensive land area (+)
4 Majid, Nomaan (2004) Sub-
Saharan
Africa
-DEA
-TFP
Dependent variable (Y): Food
cropproductivity and poverty
Independent variable
- R 2 = 0.33
-costanta (+)
-poverty (-)
- farmer's income (+)

NO Researcher Country Method used Analysis Results
(X): farmer income, food
price, GINI ratio, labor, total
population, irrigation,
technology,
fertilizer,government
policyand inflation
- food prices (-)
-GINI ratio (-)
-labor (-)
-total population (-)
- technology (+)
- Irrigation (+)
-fertilizer (-)
-government policies (+)
-inflation(-)
5 Hanaa Kheir-El-Din and
Heba El-Laithy (2008)
Egypt -DEA
-TFP
Dependent variable (Y):
Productivity, poverty and
technical efficiency.
Independent variable (X):
Land, GINI labor, and capital
(capital input and livestock)
Study: all of Egypt
Productivity (-), poverty (-) and
technical efficiency (-).
Land (-), Labor (-), GINI (+) and
capital (capital input and livestock)
(-)
6 Nizamettin Bayyurta and
Senem Yilmaz (2012)
64 world
bank
countries
-DEA-CRS
-OLS fixed effect
dependent variable (Y) =
government regulation and
education
Independent variable (X):
Land area, fertility / fertilizer,
tractor, labor.
- R-sq: within = 0.0133
- government regulation (+)
-education(-)
-Surface area (-)
- fertility / fertilizer (+)
- tractor (-)
-labor(-).
7 Abdelhafidh
Dhrifi (2013)
Sub
Saharan
Afrika32
Countries
- Simultaneous Equation
Model, SSA, Data Panel
-Poverty:
agricultural cropproduction ,
capital per capita,
technological innovation,
farmer income, farmer
population, and infrastructure
-Agricultural growth:
agricultural production,
inflation, export-import trade,
education, government
investment.
-Agricultural production:
economic growth,
irrigation and agricultural
labor.
-Poverty (+): the productivity
offood crops (+), GDP perkapital
(+), Innovations in technology (+),
farmers' income (+), the population
of farmers (+), and infrastructure
(+), R 2 = 0.431, constants 0.213
-Growth in agriculture
(+):agriculturalproductivity (+),
technological innovation (+),
inflation (-), import-export trade
(+), education (+), government
investment (+), R 2= 0.383, -0.041
constants
-agricultural productivity(+):
economic growth (+), technological
innovation (-), irrigation (+) and
farm labor (+), R2 = 0.294, 0.022
constants.

Tabel II DEA Results Envelopment Model (score,Benchmark)
NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
1 SIDOARJO_2011 0,201571
MALANG_2015(
0,404989);
TRENGGALEK_
2010(0,595011)
0 0 22692 0 -421678,632 977849,368
3160,117
99
0 3957,91799
2 SIDOARJO_2010 0,204003
MALANG_2015(
0,405323);
TRENGGALEK_
2010(0,594677)
0 0 22701 0 -394192,224 978277,776
3151,911
39
0 3959,70139
3 SIDOARJO_2012 0,210651
MALANG_2015(
0,360667);
TRENGGALEK_
2010(0,639333)
0 0 21498 0 -505991,167 921013,833
2937,421
26
0 3721,32126
4 SIDOARJO_2013 0,213571
MALANG_2015(
0,345521);
TRENGGALEK_
2010(0,654479)
0 0 21090 0 -551714,355 901592,645
2862,974
13
0 3640,47413
5 SIDOARJO_2017 0,220411
MALANG_2015(
0,321589);
TRENGGALEK_
2010(0,678411)
0 0
20445,28
571
0 -582846,082 870903,633
2738,479
53
0 3512,72095
6 SIDOARJO_2014 0,22089
MALANG_2015(
0,311816);
TRENGGALEK_
2010(0,688184)
0 0 20182 0 -623065,018 858370,982
2696,149
65
0 3460,54965
7 SIDOARJO_2016 0,250839
MALANG_2015(
0,209919);
TRENGGALEK_
2010(0,790081)
0 0 17437 0 -806747,626 727706,374
2185,014
94
0 2916,61494
8 SIDOARJO_2015 0,258042
MALANG_2015(
0,212888);
TRENGGALEK_
2010(0,787112)
0 0 17517 0 -776533,55 731514,45
2175,767
32
0 2932,46732
9 GRESIK_2016 0,28825
BANYUWANGI_
2015(0,060424);
LUMAJANG_201
0(0,772879);
MALANG_2015(
0,166697)
0 0 36541 0 0 890124
4221,532
73
0 5931,20273
10 GRESIK_2015 0,317403
BANYUWANGI_
2015(0,063682);
LUMAJANG_201
0(0,782051);
MALANG_2015(
0,154267)
0 0 36558 0 0 878367
4040,665
81
0 5919,54581
11 GRESIK_2014 0,320888
BANYUWANGI_
2015(0,082423);
LUMAJANG_201
0(0,781876);
MALANG_2015(
0,135701)
0 0 36875 0 0 866295
4033,351
5
0 5939,1515
12 GRESIK_2017 0,328159
BANYUWANGI_
2015(0,084416);
LUMAJANG_201
0(0,786941);
MALANG_2015(
0,128644)
0 0
36887,66
667
0 0 859676,167
3985,973
71
0 5932,91538
13 GRESIK_2013 0,332775
BANYUWANGI_
2015(0,087471);
LUMAJANG_201
0(0,790376);
MALANG_2015(
0,122154)
0 0 36925 0 0 854073
3956,941
19
0 5930,44119
14 GRESIK_2012 0,351362
BANYUWANGI_
2015(0,101782);
LUMAJANG_201
0(0,793882);
MALANG_2015(
0,104336)
0 0 37152 0 0 841034
3852,553
84
0 5939,45384
15 GRESIK_2011 0,358203
BANYUWANGI_
2015(0,110713);
LUMAJANG_201
0(0,800580);
MALANG_2015(
0,088707)
0 0 37275 0 0 828164
3810,797
19
0 5937,69719
16
BANGKALAN_201
6
0,359842
BLITAR_2010(0,
058751);
LUMAJANG_201
0(0,665604);
TRENGGALEK_
2010(0,275645)
0 0 28089 0 0 629891
2851,272
24
0 4454,01224
17 GRESIK_2010 0,373751
BANYUWANGI_
2015(0,118774);
LUMAJANG_201
0(0,807835);
MALANG_2015(
0,073391)
0 0 37381 0 0 815278
3716,240
27
0 5934,13027
18
BANGKALAN_201
5
0,39906
LUMAJANG_201
0(0,729429);
PACITAN_2010(
0,053856);
TRENGGALEK_
2010(0,216715)
0 0 28480 0 0 622926
2693,133
63
0 4481,53363
19
BANGKALAN_201
4
0,424207
LUMAJANG_201
0(0,728268);
PACITAN_2010(
0,122598);
TRENGGALEK_
2010(0,149134)
0 0 28540 0 0 615818
2567,540
38
0 4459,14038
20
BANGKALAN_201
7
0,427032
LUMAJANG_201
0(0,736566);
PACITAN_2010(
0 0
28855,71
429
0 0 607746
2557,374
61
0 4463,38175

NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
0,223165);
TRENGGALEK_
2010(0,040268)
21
BANGKALAN_201
3
0,432337
LUMAJANG_201
0(0,741975);
PACITAN_2010(
0,227909);
TRENGGALEK_
2010(0,030116)
0 0 28985 0 0 608533
2544,351
96
0 4482,15196
22 SITUBONDO_2016 0,437081
LUMAJANG_201
0(0,244848);
MAGETAN_2010
(0,755152)
0
-
4183,7998
2
25963,20
018
0 0 481853
1947,455
2
0 3459,5652
23
BANGKALAN_201
2
0,443012
LUMAJANG_201
0(0,714864);
MAGETAN_2010
(0,069316);
PACITAN_2010(
0,215819)
0 0 29141 0 0 600337
2481,111
38
0 4454,51138
24
BANGKALAN_201
1
0,46083
LUMAJANG_201
0(0,671773);
MAGETAN_2010
(0,184059);
PACITAN_2010(
0,144168)
0 0 29375 0 0 592322
2387,961
1
0 4428,9611
25 PONOROGO_2016 0,465615
LUMAJANG_201
0(0,648731);
MAGETAN_2010
(0,351269)
0
-
3917,6761
8
30572,32
383
0 0 593848
2431,090
83
0 4549,32083
26 LAMONGAN_2016 0,466212
BANYUWANGI_
2010(0,379738);
LUMAJANG_201
0(0,620262)
0
-
36097,831
9
45043,16
806
0 0 827036
3549,456
17
0 6649,56617
27 PONOROGO_2015 0,474164
LUMAJANG_201
0(0,642734);
MAGETAN_2010
(0,357266)
0
-
4085,1164
9
30503,88
351
0 0 592185
2383,689
19
0 4533,13919
28 LAMONGAN_2015 0,477055
BANYUWANGI_
2010(0,375104);
LUMAJANG_201
0(0,624896)
0
-
36806,504
9
44915,49
514
0 0 825379
3470,002
41
0 6635,50241
29
BANGKALAN_201
0
0,480786
LUMAJANG_201
0(0,634853);
MAGETAN_2010
(0,263071);
PACITAN_2010(
0,102077)
0 0 29380 0 0 584395
2275,523
16
0 4382,63316
30 SITUBONDO_2015 0,480934
LUMAJANG_201
0(0,232886);
MAGETAN_2010
(0,767114)
0
-
4431,3100
5
25826,68
996
0 0 478536
1778,989
48
0 3427,28948
31 LAMONGAN_2013 0,517185
BANYUWANGI_
2010(0,361862);
LUMAJANG_201
0(0,638138)
0
-
37686,339
7
44550,66
032
0 0 820644
3184,314
17
0 6595,31417
32 LAMONGAN_2017 0,527432
BANYUWANGI_
2010(0,358394);
LUMAJANG_201
0(0,641606)
0
-
37752,311
1
44455,11
752
0 0 819404
3111,762
54
0 6584,78969
33 LAMONGAN_2012 0,529607
BANYUWANGI_
2010(0,351582);
LUMAJANG_201
0(0,648418)
0
-
38628,577
9
44267,42
214
0 0 816968
3087,714
17
0 6564,11417
34 TUBAN_2016 0,529828
BANYUWANGI_
2010(0,346822);
LUMAJANG_201
0(0,653178)
0
-
10121,718
1
44136,28
194
0 0 815266
3079,468
47
0 6549,66847
35 JOMBANG_2016 0,539477
BANYUWANGI_
2015(0,342112);
LUMAJANG_201
0(0,633209);
MALANG_2015(
0,024679)
0 0 41873 0 0 852516
2970,477
88
0 6450,22788
36 JOMBANG_2014 0,542393
BANYUWANGI_
2010(0,003111);
BANYUWANGI_
2015(0,374823);
LUMAJANG_201
0(0,622066)
0 0 42544 0 0 840668
2977,439
02
0 6506,53902
37 TUBAN_2015 0,542684
BANYUWANGI_
2010(0,332673);
LUMAJANG_201
0(0,667327)
0
-
10895,517
3
43746,48
271
0 0 810207
2975,630
29
0 6506,73029
38 JOMBANG_2015 0,543054
BANYUWANGI_
2015(0,348624);
LUMAJANG_201
0(0,634634);
MALANG_2015(
0,016742)
0 0 41977 0 0 846762
2949,408
47
0 6454,60847
39
BOJONEGORO_201
6
0,543522
BANYUWANGI_
2010(0,487110);
LUMAJANG_201
0(0,512890)
0
-
29377,626
4
48001,37
357
0 0 865429
3184,126
18
0 6975,42618
40 JOMBANG_2013 0,545882
BANYUWANGI_
2010(0,045427);
BANYUWANGI_
2015(0,325106);
LUMAJANG_201
0(0,629466)
0 0 42665 0 0 836128
2952,823
69
0 6502,32369
41 LAMONGAN_2011 0,546479
BANYUWANGI_
2010(0,341058);
LUMAJANG_201
0(0,658942)
0
-
38808,519
4
43977,48
056
0 0 813205
2962,475
77
0 6532,17577

NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
42 SITUBONDO_2014 0,552446
LUMAJANG_201
0(0,220145);
MAGETAN_2010
(0,779855)
0
-
5687,7097
25681,29
031
0 0 475003
1518,511
99
0 3392,91199
43 JOMBANG_2017 0,553479
BANYUWANGI_
2010(0,056735);
BANYUWANGI_
2015(0,307835);
LUMAJANG_201
0(0,635430)
0 0
42613,57
143
0 0 833337,857
2898,175
43
0 6490,564
44
BOJONEGORO_201
5
0,553782
BANYUWANGI_
2010(0,476301);
LUMAJANG_201
0(0,523699)
0
-
29677,427
2
47703,57
281
0 0 861564
3097,922
05
0 6942,62205
45 PONOROGO_2017 0,554678
LUMAJANG_201
0(0,622860);
MAGETAN_2010
(0,377140)
0
-
4408,7832
1
30277,07
394
0 0 586673,857
1994,825
02
0 4479,51359
46 LAMONGAN_2010 0,555375
BANYUWANGI_
2010(0,330313);
LUMAJANG_201
0(0,669687)
0
-
39144,548
43681,45
197
0 0 809363
2889,866
85
0 6499,56685
47 TUBAN_2014 0,557353
BANYUWANGI_
2010(0,317216);
LUMAJANG_201
0(0,682784)
0
-
11474,376
2
43320,62
379
0 0 804680
2859,419
96
0 6459,81996
48 JOMBANG_2012 0,562619
BANYUWANGI_
2010(0,106916);
BANYUWANGI_
2015(0,245544);
LUMAJANG_201
0(0,647540)
0 0 42687 0 0 826635
2832,771
18
0 6476,67118
49 MOJOKERTO_2014 0,563083
BLITAR_2010(0,
943567);
MALANG_2015(
0,019608);
TRENGGALEK_
2010(0,036824)
0 0 30489 0 0 748054
2195,435
35
0 5024,83535
50 MOJOKERTO_2013 0,563089
BLITAR_2010(0,
968468);
MALANG_2015(
0,005883);
TRENGGALEK_
2010(0,025648)
0 0 30599 0 0 737431
2199,415
2
0 5034,0152
51
BOJONEGORO_201
4
0,564857
BANYUWANGI_
2010(0,463881);
LUMAJANG_201
0(0,536119)
0
-
30130,609
1
47361,39
089
0 0 857123
3004,629
13
0 6904,92913
52 MOJOKERTO_2012 0,565384
BLITAR_2010(0,
920390);
LUMAJANG_201
0(0,058019);
TRENGGALEK_
2010(0,021591)
0 0 30837 0 0 729918
2198,354
76
0 5058,15476
53 JOMBANG_2011 0,56647
BANYUWANGI_
2010(0,204247);
BANYUWANGI_
2015(0,138504);
LUMAJANG_201
0(0,657249)
0 0 43119 0 0 819086
2812,085
6
0 6486,4856
54 PONOROGO_2014 0,567273
LUMAJANG_201
0(0,635352);
MAGETAN_2010
(0,364648)
0
-
4258,3602
1
30419,63
979
0 0 590138
1952,991
07
0 4513,22107
55 MOJOKERTO_2011 0,570558
BLITAR_2010(0,
746053);
LUMAJANG_201
0(0,227490);
TRENGGALEK_
2010(0,026457)
0 0 31342 0 0 720510
2193,655
44
0 5108,15544
56 MOJOKERTO_2016 0,57098
BLITAR_2010(0,
836381);
MALANG_2015(
0,055877);
TRENGGALEK_
2010(0,107741)
0 0 29401 0 0 764529
2086,563
06
0 4863,55306
57 NGAWI_2016 0,571747
LUMAJANG_201
0(0,571229);
MAGETAN_2010
(0,428771)
0
-
17417,132
4
29687,86
759
0 0 572357
1858,704
91
0 4340,20491
58 MOJOKERTO_2017 0,571964
BLITAR_2010(0,
961115);
MALANG_2015(
0,008168);
TRENGGALEK_
2010(0,030718)
0 0
30518,85
714
0 0 738299,714
2149,537
83
0 5021,86068
59 TUBAN_2017 0,574383
BANYUWANGI_
2010(0,297928);
LUMAJANG_201
0(0,702072)
0
-
11962,651
7
42789,20
547
0 0 797783
2724,497
49
0 6401,28177
60 MOJOKERTO_2015 0,575066
BLITAR_2010(0,
857307);
MALANG_2015(
0,044995);
TRENGGALEK_
2010(0,097698)
0 0 29511 0 0 756438
2071,447
32
0 4874,74732
61 PONOROGO_2013 0,576134
LUMAJANG_201
0(0,625824);
MAGETAN_2010
(0,374176)
0 -4378,091
30310,90
9
0 0 587496
1902,103
36
0 4487,51336
62 TUBAN_2013 0,576678
BANYUWANGI_
2010(0,301141);
LUMAJANG_201
0(0,698859)
0
-
11978,263
3
42877,73
666
0 0 798932
2713,933
89
0 6411,03389

NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
63
BOJONEGORO_201
3
0,577841
BANYUWANGI_
2010(0,449311);
LUMAJANG_201
0(0,550689)
0
-
30541,043
46959,95
702
0 0 851913
2896,309
34
0 6860,70934
64 SITUBONDO_2017 0,578803
LUMAJANG_201
0(0,203570);
MAGETAN_2010
(0,796430)
0
-
5934,5711
1
25492,14
318
0 0 470407
1410,248
23
0 3348,19109
65 JOMBANG_2010 0,58032
BANYUWANGI_
2010(0,287234);
BANYUWANGI_
2015(0,044510);
LUMAJANG_201
0(0,668256)
0 0 43430 0 0 811570
2722,704
94
0 6487,57494
66 PONOROGO_2012 0,581497
LUMAJANG_201
0(0,614840);
MAGETAN_2010
(0,385160)
0
-
4590,4483
30185,55
17
0 0 584450
1865,634
58
0 4457,87458
67
BOJONEGORO_201
7
0,585981
BANYUWANGI_
2010(0,373402);
LUMAJANG_201
0(0,626598)
0
-
29174,122
3
44868,60
982
0 0 824770,5
2745,089
02
0 6630,33777
68
BOJONEGORO_201
2
0,586682
BANYUWANGI_
2010(0,433946);
LUMAJANG_201
0(0,566054)
0
-
30985,359
2
46536,64
076
0 0 846419
2816,379
09
0 6814,07909
69 SITUBONDO_2013 0,588155
LUMAJANG_201
0(0,202463);
MAGETAN_2010
(0,797537)
0
-
5891,4913
2
25479,50
868
0 0 470100
1377,703
86
0 3345,20386
70 PONOROGO_2011 0,59212
LUMAJANG_201
0(0,602456);
MAGETAN_2010
(0,397544)
0
-
4734,7736
3
30044,22
637
0 0 581016
1804,650
4
0 4424,4604
71
BOJONEGORO_201
1
0,592984
BANYUWANGI_
2010(0,416976);
LUMAJANG_201
0(0,583024)
0
-
31566,902
6
46069,09
743
0 0 840351
2752,477
03
0 6762,57703
72 TUBAN_2012 0,593139
BANYUWANGI_
2010(0,281735);
LUMAJANG_201
0(0,718265)
0
-
12554,917
8
42343,08
222
0 0 791993
2584,439
24
0 6352,13924
73 NGAWI_2015 0,596576
LUMAJANG_201
0(0,566408);
MAGETAN_2010
(0,433592)
0
-
17573,156
3
29632,84
372
0 0 571020
1745,695
37
0 4327,19537
74
BONDOWOSO_201
6
0,597211
LUMAJANG_201
0(0,425009);
MAGETAN_2010
(0,574991)
0
-
5523,7919
7
28019,20
803
0 0 531811
1589,276
29
0 3945,67629
75 LAMONGAN_2014 0,60127
BANYUWANGI_
2010(0,369103);
LUMAJANG_201
0(0,630897)
0
-
37093,855
6
44750,14
445
0 0 823233
2638,508
27
0 6617,28827
76 MOJOKERTO_2010 0,605036
BLITAR_2010(0,
621251);
LUMAJANG_201
0(0,337820);
TRENGGALEK_
2010(0,040928)
0 0 31453 0 0 711218
2015,612
64
0 5103,28264
77 TUBAN_2011 0,605183
BANYUWANGI_
2010(0,262567);
LUMAJANG_201
0(0,737433)
0
-
13087,022
9
41814,97
708
0 0 785139
2484,966
01
0 6293,96601
78
BOJONEGORO_201
0
0,610654
BANYUWANGI_
2010(0,400084);
LUMAJANG_201
0(0,599916)
0
-
33079,288
5
45603,71
152
0 0 834311
2613,022
63
0 6711,31263
79 SUMENEP_2016 0,618947
BLITAR_2010(0,
362937);
MALANG_2015(
0,163802);
TRENGGALEK_
2010(0,473261)
0 0 23187 0 0 770264
1475,478
3
0 3872,1083
80 TUBAN_2010 0,619344
BANYUWANGI_
2010(0,243340);
LUMAJANG_201
0(0,756660)
0
-
13626,746
1
41285,25
388
0 0 778264
2373,624
56
0 6235,61456
81 NGAWI_2014 0,619652
LUMAJANG_201
0(0,560154);
MAGETAN_2010
(0,439846)
0
-
18045,518
6
29561,48
142
0 0 569286
1639,422
86
0 4310,32286
82
TULUNGAGUNG_2
016
0,62034
BLITAR_2010(0,
667319);
MALANG_2015(
0,037545);
TRENGGALEK_
2010(0,295136)
0 0 25650 0 0 693650
1596,826
37
0 4205,93637
83 PONOROGO_2010 0,630246
LUMAJANG_201
0(0,590079);
MAGETAN_2010
(0,409921)
0
-
4897,0166
5
29902,98
335
0 0 577584
1623,615
68
0 4391,06568
84 PASURUAN_2016 0,634418
BANYUWANGI_
2015(0,154783);
LUMAJANG_201
0(0,486502);
MALANG_2015(
0,358715)
0 0 39319 0 0 1128999
2375,291
46
0 6497,28146
85
BONDOWOSO_201
5
0,634726
LUMAJANG_201
0(0,412326);
MAGETAN_2010
(0,587674)
0
-
5779,5331
4
27874,46
686
0 0 528294
1428,754
49
0 3911,45449

NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
86 SITUBONDO_2012 0,637501
LUMAJANG_201
0(0,190620);
MAGETAN_2010
(0,809380)
0
-
6886,6434
5
25344,35
656
0 0 466816
1201,049
24
0 3313,24924
87 PASURUAN_2015 0,639333
BANYUWANGI_
2015(0,162203);
LUMAJANG_201
0(0,491871);
MALANG_2015(
0,345925)
0 0 39422 0 0 1118511
2342,941
4
0 6496,1414
88 KEDIRI_2016 0,642276
BANYUWANGI_
2015(0,204498);
LUMAJANG_201
0(0,525387);
MALANG_2015(
0,270116)
0 0 39997 0 0 1055676
2319,794
78
0 6484,87478
89 PASURUAN_2014 0,642409
BANYUWANGI_
2015(0,170228);
LUMAJANG_201
0(0,497286);
MALANG_2015(
0,332486)
0 0 39535 0 0 1107580
2322,748
68
0 6495,54868
90 NGAWI_2013 0,643671
LUMAJANG_201
0(0,546952);
MAGETAN_2010
(0,453048)
0
-
18290,186
29410,81
397
0 0 565625
1523,199
88
0 4274,69988
91
BONDOWOSO_201
4
0,651993
LUMAJANG_201
0(0,398262);
MAGETAN_2010
(0,601738)
0
-
6051,0365
8
27713,96
342
0 0 524394
1348,005
95
0 3873,50595
92 SITUBONDO_2011 0,653067
LUMAJANG_201
0(0,174973);
MAGETAN_2010
(0,825027)
0
-
7135,2138
1
25165,78
62
0 0 462477
1134,829
06
0 3271,02906
93 NGAWI_2012 0,656869
LUMAJANG_201
0(0,535938);
MAGETAN_2010
(0,464062)
0
-
18516,872
6
29285,12
743
0 0 562571
1456,583
26
0 4244,98326
94 PASURUAN_2017 0,658154
BANYUWANGI_
2015(0,180929);
LUMAJANG_201
0(0,502604);
MALANG_2015(
0,316467)
0 0
39693,57
143
0 0 1095000,29
2221,269
39
0 6497,87367
95 KEDIRI_2015 0,659015
BANYUWANGI_
2015(0,210976);
LUMAJANG_201
0(0,527881);
MALANG_2015(
0,261144)
0 0 40096 0 0 1048822
2212,130
03
0 6487,47003
96 PASURUAN_2013 0,659916
BANYUWANGI_
2015(0,172909);
LUMAJANG_201
0(0,506767);
MALANG_2015(
0,320324)
0 0 39541 0 0 1095876
2204,692
88
0 6482,79288
97 PASURUAN_2012 0,671789
BANYUWANGI_
2015(0,180761);
LUMAJANG_201
0(0,513412);
MALANG_2015(
0,305826)
0 0 39646 0 0 1083766
2126,808
22
0 6480,00822
98
BONDOWOSO_201
3
0,672101
LUMAJANG_201
0(0,383292);
MAGETAN_2010
(0,616708)
0
-
6332,8698
5
27543,13
015
0 0 520243
1256,875
08
0 3833,11508
99 PASURUAN_2011 0,672327
BANYUWANGI_
2015(0,211193);
LUMAJANG_201
0(0,506303);
MALANG_2015(
0,282503)
0 0 40189 0 0 1071327
2137,416
72
0 6523,01672
100 KEDIRI_2014 0,673757
BANYUWANGI_
2015(0,212640);
LUMAJANG_201
0(0,533941);
MALANG_2015(
0,253418)
0 0 40099 0 0 1041372
2113,814
16
0 6479,26416
101 KEDIRI_2017 0,673794
BANYUWANGI_
2015(0,246768);
LUMAJANG_201
0(0,521609);
MALANG_2015(
0,231623)
0 0 40726 0 0 1031998,86
2131,634
13
0 6534,63413
102
BONDOWOSO_201
7
0,675048
LUMAJANG_201
0(0,380925);
MAGETAN_2010
(0,619075)
0
-
6344,3076
8
27516,12
089
0 0 519586,714
1243,502
02
0 3826,72916
103 KEDIRI_2013 0,680232
BANYUWANGI_
2015(0,271835);
LUMAJANG_201
0(0,504947);
MALANG_2015(
0,223218)
0 0 41218 0 0 1033095
2106,549
64
0 6587,74964
104 NGANJUK_2013 0,681707
BANYUWANGI_
2010(0,026238);
LUMAJANG_201
0(0,973762)
0
-
6074,1108
3
35303,88
917
0 0 700635
1775,039
58
0 5576,73958
105 NGANJUK_2016 0,682974
BANYUWANGI_
2010(0,060111);
LUMAJANG_201
0(0,939889)
0
-
3807,8733
8
36237,12
662
0 0 712747 1800,56 0 5679,54

NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
106 KEDIRI_2012 0,683286
BANYUWANGI_
2015(0,273716);
LUMAJANG_201
0(0,512134);
MALANG_2015(
0,214149)
0 0 41220 0 0 1024321
2083,323
84
0 6577,92384
107 NGAWI_2011 0,684893
LUMAJANG_201
0(0,525246);
MAGETAN_2010
(0,474754)
0
-
19053,896
3
29163,10
367
0 0 559606
1328,532
63
0 4216,13263
108
TULUNGAGUNG_2
015
0,685051
BLITAR_2010(0,
676306);
MALANG_2015(
0,032195);
TRENGGALEK_
2010(0,291499)
0 0 25679 0 0 689307
1325,029
42
0 4207,12942
109
TULUNGAGUNG_2
014
0,685319
BLITAR_2010(0,
690457);
MALANG_2015(
0,025378);
TRENGGALEK_
2010(0,284165)
0 0 25768 0 0 684531
1327,195
05
0 4217,59505
110 SAMPANG_2016 0,685972
BLITAR_2010(0,
333264);
MALANG_2015(
0,059851);
TRENGGALEK_
2010(0,606885)
0 0 19815 0 0 628652
1010,845
75
0 3218,96575
111 PASURUAN_2010 0,686807
BANYUWANGI_
2015(0,214424);
LUMAJANG_201
0(0,516090);
MALANG_2015(
0,269487)
0 0 40203 0 0 1058943
2038,986
34
0 6510,32634
112 KEDIRI_2011 0,687485
BANYUWANGI_
2015(0,275763);
LUMAJANG_201
0(0,519753);
MALANG_2015(
0,204484)
0 0 41223 0 0 1014986
2052,461
72
0 6567,56172
113 KEDIRI_2010 0,689922
BANYUWANGI_
2015(0,277950);
LUMAJANG_201
0(0,527219);
MALANG_2015(
0,194831)
0 0 41229 0 0 1005720
2033,364
76
0 6557,59476
114
TULUNGAGUNG_2
013
0,691581
BLITAR_2010(0,
700777);
MALANG_2015(
0,018406);
TRENGGALEK_
2010(0,280817)
0 0 25779 0 0 678482
1299,845
73
0 4214,54573
115 NGANJUK_2012 0,692323
BANYUWANGI_
2010(0,011816);
LUMAJANG_201
0(0,988184)
0
-
6574,4610
2
34906,53
899
0 0 695478
1702,369
62
0 5532,96962
116 SAMPANG_2015 0,693454
BLITAR_2010(0,
359627);
MALANG_2015(
0,047308);
TRENGGALEK_
2010(0,593065)
0 0 19985 0 0 619954
992,9941
62
0 3239,29416
117 NGAWI_2017 0,693839
LUMAJANG_201
0(0,818969);
MAGETAN_2010
(0,181031)
0
-
16232,783
3
32515,07
386
0 0 641054
1533,453
88
0 5008,65388
118 NGANJUK_2015 0,696319
BANYUWANGI_
2010(0,050094);
LUMAJANG_201
0(0,949906)
0
-
4194,8688
35961,13
12
0 0 709165
1715,537
83
0 5649,13783
119 NGANJUK_2017 0,697922
BANYUWANGI_
2010(0,023711);
LUMAJANG_201
0(0,976289)
0
-
5878,4568
8
35234,25
74
0 0 699731,286
1682,290
75
0 5569,06932
120
BONDOWOSO_201
2
0,700774
LUMAJANG_201
0(0,366476);
MAGETAN_2010
(0,633524)
0
-
6678,7743
4
27351,22
566
0 0 515580
1133,392
24
0 3787,74224
121 NGANJUK_2011 0,706653
LUMAJANG_201
0(0,996040);
MAGETAN_2010
(0,003960)
0
-
7323,1878
9
34535,81
211
0 0 690155
1609,426
03
0 5486,42603
122 NGAWI_2010 0,709762
LUMAJANG_201
0(0,514452);
MAGETAN_2010
(0,485548)
0
-
19251,072
4
29039,92
757
0 0 556613
1215,229
56
0 4187,00956
123 NGANJUK_2014 0,711369
BANYUWANGI_
2010(0,038829);
LUMAJANG_201
0(0,961171)
0
-
4616,2288
1
35650,77
119
0 0 705137
1620,650
24
0 5614,95024
124
TULUNGAGUNG_2
017
0,715204
BLITAR_2010(0,
610926);
MALANG_2015(
0,017357);
TRENGGALEK_
2010(0,371717)
0 0
24019,67
857
0 0 651960,75
1113,965
96
0 3911,45417
125 NGANJUK_2010 0,716052
LUMAJANG_201
0(0,976736);
MAGETAN_2010
(0,023264)
0
-
8287,4891
4
34315,51
086
0 0 684802
1543,069
22
0 5434,33922
126 SITUBONDO_2010 0,717109
LUMAJANG_201
0(0,159058);
MAGETAN_2010
(0,840942)
0
-
7325,8296
2
24984,17
039
0 0 458064
913,1988
21
0 3228,08882

NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
127 SAMPANG_2014 0,718519
BLITAR_2010(0,
381098);
MALANG_2015(
0,035739);
TRENGGALEK_
2010(0,583163)
0 0 20087 0 0 611135
914,4269
66
0 3248,62697
128
BONDOWOSO_201
1
0,718633
LUMAJANG_201
0(0,349253);
MAGETAN_2010
(0,650747)
0
-
6898,3293
2
27154,67
068
0 0 510804
1052,669
88
0 3741,26988
129
TULUNGAGUNG_2
012
0,729167
BLITAR_2010(0,
708890);
MALANG_2015(
0,012678);
TRENGGALEK_
2010(0,278432)
0 0 25781 0 0 673410
1140,431
12
0 4210,83112
130 SAMPANG_2017 0,731096
BLITAR_2010(0,
402867);
MALANG_2015(
0,023458);
TRENGGALEK_
2010(0,573675)
0 0
20175,57
143
0 0 601486,429
875,3231
03
0 3255,14739
131 SAMPANG_2013 0,732701
BLITAR_2010(0,
398975);
MALANG_2015(
0,023993);
TRENGGALEK_
2010(0,577032)
0 0 20115 0 0 601082
867,4169
78
0 3245,11698
132 SAMPANG_2012 0,737474
BLITAR_2010(0,
421379);
MALANG_2015(
0,012462);
TRENGGALEK_
2010(0,566159)
0 0 20236 0 0 592573
855,2418
14
0 3257,74181
133 MADIUN_2016 0,73754
LUMAJANG_201
0(0,176422);
MAGETAN_2010
(0,823578)
0
-
5293,6696
1
25182,33
04
0 0 462879
859,5406
75
0 3274,94068
134
TULUNGAGUNG_2
011
0,748748
BLITAR_2010(0,
724865);
MALANG_2015(
0,004482);
TRENGGALEK_
2010(0,270652)
0 0 25868 0 0 667377
1060,276
14
0 4219,97614
135
TULUNGAGUNG_2
010
0,754612
BLITAR_2010(0,
704549);
LUMAJANG_201
0(0,022684);
TRENGGALEK_
2010(0,272768)
0 0 25873 0 0 661216
1033,756
13
0 4212,73613
136
BONDOWOSO_201
0
0,757591
LUMAJANG_201
0(0,331860);
MAGETAN_2010
(0,668140)
0
-
7145,8185
7
26956,18
144
0 0 505981
895,5401
78
0 3694,34018
137 MADIUN_2015 0,758799
LUMAJANG_201
0(0,169329);
MAGETAN_2010
(0,830671)
0
-
5485,6209
5
25101,37
905
0 0 460912
785,3009
87
0 3255,80099
138 SAMPANG_2011 0,760489
BLITAR_2010(0,
428745);
LUMAJANG_201
0(0,019422);
TRENGGALEK_
2010(0,551833)
0 0 20485 0 0 583177
787,3890
59
0 3287,48906
139 MADIUN_2017 0,771211
LUMAJANG_201
0(0,259168);
MAGETAN_2010
(0,740832)
0
-
5966,3423
6
26126,62
193
0 0 485823,911
800,3514
08
0 3498,20373
140 PAMEKASAN_2016 0,772928
MALANG_2015(
0,044434);
TRENGGALEK_
2010(0,955566)
0 0 12979 0 -76031,6625 515501,338 461,6912 0 2033,2412
141 MADIUN_2014 0,772997
LUMAJANG_201
0(0,161070);
MAGETAN_2010
(0,838930)
0
-
5690,8652
8
25007,13
472
0 0 458622
734,0183
81
0 3233,51838
142
PROBOLINGGO_20
16
0,783125
BANYUWANGI_
2015(0,001238);
LUMAJANG_201
0(0,899489);
MALANG_2015(
0,099273)
0 0 35018 0 0 795939
1228,144
91
0 5662,92491
143 MADIUN_2013 0,789254
LUMAJANG_201
0(0,151788);
MAGETAN_2010
(0,848212)
0
-
5839,7975
4
24901,20
246
0 0 456048
676,1723
44
0 3208,47234
144 SAMPANG_2010 0,792026
BLITAR_2010(0,
314308);
LUMAJANG_201
0(0,117047);
TRENGGALEK_
2010(0,568646)
0 0 20506 0 0 573832
680,0571
41
0 3269,90714
145 PAMEKASAN_2013 0,794465
MALANG_2015(
0,072980);
TRENGGALEK_
2010(0,927020)
0 0 13748 0 -17196,5317 552106,468
449,2221
79
0 2185,62218
146 PAMEKASAN_2015 0,795773
MALANG_2015(
0,055310);
TRENGGALEK_
2010(0,944690)
0 0 13272 0 -54853,5841 529448,416
427,1005
33
0 2091,30053
147 PAMEKASAN_2014 0,800701
MALANG_2015(
0,062140);
TRENGGALEK_
2010(0,937860)
0 0 13456 0 -38623,0092 538206,991
424,0610
01
0 2127,761

NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
148 PAMEKASAN_2017 0,800779
MALANG_2015(
0,070026);
TRENGGALEK_
2010(0,929974)
0 0
13668,42
857
0 -20358,2073 548318,793
432,2804
4
0 2169,85473
149 PAMEKASAN_2011 0,80685
BLITAR_2010(0,
025747);
MALANG_2015(
0,067930);
TRENGGALEK_
2010(0,906323)
0 0 14108 0 0 552845
433,4121
31
0 2243,91213
150 PAMEKASAN_2012 0,808409
BLITAR_2010(0,
004696);
MALANG_2015(
0,078902);
TRENGGALEK_
2010(0,916403)
0 0 13998 0 0 561016
427,7815
18
0 2232,78152
151
PROBOLINGGO_20
15
0,814367
BANYUWANGI_
2015(0,003210);
LUMAJANG_201
0(0,904631);
MALANG_2015(
0,092160)
0 0 35030 0 0 789253
1050,041
68
0 5656,54168
152 MADIUN_2012 0,814448
LUMAJANG_201
0(0,140031);
MAGETAN_2010
(0,859969)
0
-
6162,9619
5
24767,03
805
0 0 452788
589,4512
54
0 3176,75125
153 MADIUN_2011 0,824092
LUMAJANG_201
0(0,128008);
MAGETAN_2010
(0,871992)
0
-
6372,1718
1
24629,82
819
0 0 449454
553,1101
16
0 3144,31012
154
PROBOLINGGO_20
13
0,831918
BANYUWANGI_
2015(0,063323);
LUMAJANG_201
0(0,882037);
MALANG_2015(
0,054640)
0 0 36138 0 0 773657
967,3954
12
0 5755,49541
155 MADIUN_2010 0,835363
LUMAJANG_201
0(0,116118);
MAGETAN_2010
(0,883882)
0
-
6702,8589
5
24494,14
105
0 0 446157
512,3890
02
0 3112,229
156 PAMEKASAN_2010 0,835865
BLITAR_2010(0,
038954);
MALANG_2015(
0,058856);
TRENGGALEK_
2010(0,902190)
0 0 14118 0 0 544910
367,5320
59
0 2239,20206
157
PROBOLINGGO_20
14
0,839379
BANYUWANGI_
2015(0,005614);
LUMAJANG_201
0(0,909842);
MALANG_2015(
0,084544)
0 0 35049 0 0 782211
907,5890
89
0 5650,48909
158 SUMENEP_2015 0,840561
BLITAR_2010(0,
380694);
MALANG_2015(
0,156411);
TRENGGALEK_
2010(0,462895)
0 0 23330 0 0 765762
620,4472
8
0 3891,44728
159
PROBOLINGGO_20
17
0,841011
BANYUWANGI_
2015(0,043084);
LUMAJANG_201
0(0,894499);
MALANG_2015(
0,062417)
0 0
35744,85
714
0 0 773812
908,5016
03
0 5714,2316
160 SUMENEP_2017 0,84641
BLITAR_2010(0,
437585);
MALANG_2015(
0,135223);
TRENGGALEK_
2010(0,427192)
0 0
23855,28
571
0 0 754533,429
609,2463
28
0 3966,70919
161
PROBOLINGGO_20
12
0,855425
BANYUWANGI_
2015(0,067817);
LUMAJANG_201
0(0,885864);
MALANG_2015(
0,046320)
0 0 36198 0 0 766702
831,8641
43
0 5753,86414
162
PROBOLINGGO_20
11
0,871475
BANYUWANGI_
2015(0,078614);
LUMAJANG_201
0(0,886880);
MALANG_2015(
0,034507)
0 0 36376 0 0 758575
740,7305
75
0 5763,33058
163 SUMENEP_2014 0,872803
BLITAR_2010(0,
425997);
MALANG_2015(
0,142720);
TRENGGALEK_
2010(0,431283)
0 0 23834 0 0 760900
504,7625
25
0 3968,36253
164 MAGETAN_2016 0,886072
LUMAJANG_201
0(0,066370);
MAGETAN_2010
(0,790633);
PACITAN_2010(
0,142997)
0 0 22478 0 0 424511
318,6507
96
0 2796,9508
165 SUMENEP_2012 0,886323
BLITAR_2010(0,
464175);
MALANG_2015(
0,125476);
TRENGGALEK_
2010(0,410349)
0 0 24105 0 0 749485
455,0180
74
0 4002,71807
166 SUMENEP_2013 0,887744
BLITAR_2010(0,
446109);
MALANG_2015(
0,133645);
TRENGGALEK_
0 0 23977 0 0 754898
447,5081
35
0 3986,50814

NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
2010(0,420246)
167
PROBOLINGGO_20
10
0,889917
BANYUWANGI_
2015(0,081772);
LUMAJANG_201
0(0,892751);
MALANG_2015(
0,025477)
0 0 36405 0 0 750347
633,7454
1
0 5756,97541
168 SUMENEP_2011 0,891988
BLITAR_2010(0,
484073);
MALANG_2015(
0,116331);
TRENGGALEK_
2010(0,399596)
0 0 24242 0 0 743334
434,1834
35
0 4019,78344
169 BLITAR_2016 0,89375
BLITAR_2010(0,
945656);
MALANG_2015(
0,036675);
TRENGGALEK_
2010(0,017669)
0 0 30989 0 0 770524
544,3042
1
0 5122,85421
170 MAGETAN_2015 0,898076
LUMAJANG_201
0(0,059335);
MAGETAN_2010
(0,816553);
PACITAN_2010(
0,124112)
0 0 22589 0 0 423597
285,5785
31
0 2801,87853
171 JEMBER_2016 0,904621
JEMBER_2010(0,
896065);
MALANG_2015(
0,103935)
0 0 76862 0 -64153,2623 1595490,74
933,5673
21
0 9787,99732
172 JEMBER_2011 0,905622
JEMBER_2010(0,
999953);
MALANG_2015(
0,000047)
0 0 81284 0 -14887,3781 1578638,62
952,8108
4
0 10095,6808
173 BLITAR_2015 0,909708
BLITAR_2010(0,
952383);
MALANG_2015(
0,032050);
TRENGGALEK_
2010(0,015567)
0 0 30994 0 0 766478
462,3367
21
0 5120,43672
174 JEMBER_2014 0,916111
JEMBER_2010(0,
931986);
MALANG_2015(
0,068014)
0 0 78391 0 -46542,2376 1589663,76
830,0254
03
0 9894,3854
175 JEMBER_2015 0,916441
JEMBER_2010(0,
898438);
MALANG_2015(
0,101562)
0 0 76963 0 -53246,1704 1595105,83
818,4649
19
0 9795,02492
176 JEMBER_2012 0,917525
JEMBER_2010(0,
952567);
MALANG_2015(
0,047433)
0 0 79267 0 -22070,6486 1586325,35
821,0676
34
0 9955,33763
177 JEMBER_2013 0,918008
JEMBER_2010(0,
933537);
MALANG_2015(
0,066463)
0 0 78457 0 -33394,7618 1589412,24
811,6376
95
0 9898,9777
178 SUMENEP_2010 0,918698
BLITAR_2010(0,
499107);
MALANG_2015(
0,108178);
TRENGGALEK_
2010(0,392715)
0 0 24312 0 0 737091
327,3265
47
0 4026,03655
179 JEMBER_2017 0,925671
JEMBER_2010(0,
944649);
MALANG_2015(
0,055351)
0 0 78930 0 -33470,637 1587609,65
738,2248
3
0 9931,88912
180 BLITAR_2014 0,930122
BLITAR_2010(0,
962691);
MALANG_2015(
0,026274);
TRENGGALEK_
2010(0,011035)
0 0 31037 0 0 761960
358,0345
27
0 5123,73453
181 MAGETAN_2014 0,933804
LUMAJANG_201
0(0,053211);
MAGETAN_2010
(0,830563);
PACITAN_2010(
0,116225)
0 0 22599 0 0 422332
185,0412
63
0 2795,34126
182 MAGETAN_2013 0,934046
LUMAJANG_201
0(0,040630);
MAGETAN_2010
(0,877164);
PACITAN_2010(
0,082206)
0 0 22800 0 0 420711
184,9656
39
0 2804,46564
183 LUMAJANG_2015 0,938608
BLITAR_2010(0,
184789);
LUMAJANG_201
0(0,800028);
MALANG_2015(
0,015183)
0 0 33991 0 0 715961
334,5793
92
0 5449,87939
184 LUMAJANG_2016 0,93861
BLITAR_2010(0,
220990);
LUMAJANG_201
0(0,761919);
MALANG_2015(
0,017091)
0 0 33871 0 0 719682
333,8906
62
0 5438,88066
185 MAGETAN_2017 0,939044
LUMAJANG_201
0(0,038028);
MAGETAN_2010
(0,879975);
PACITAN_2010(
0,081997)
0 0
22772,42
857
0 0 420001
170,5360
77
0 2797,71036

NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
186 MAGETAN_2012 0,942177
LUMAJANG_201
0(0,030113);
MAGETAN_2010
(0,902295);
PACITAN_2010(
0,067593)
0 0 22828 0 0 418597
161,5907
49
0 2794,59075
187 BLITAR_2013 0,948622
BLITAR_2010(0,
970099);
MALANG_2015(
0,021050);
TRENGGALEK_
2010(0,008851)
0 0 31039 0 0 757337
263,0771
36
0 5120,37714
188 BLITAR_2017 0,948883
BLITAR_2010(0,
971651);
MALANG_2015(
0,019532);
TRENGGALEK_
2010(0,008817)
0 0 31028 0 0 755824,857
261,5881
22
0 5117,41098
189 LUMAJANG_2014 0,954935
BLITAR_2010(0,
066167);
LUMAJANG_201
0(0,917223);
MALANG_2015(
0,016610)
0 0 34416 0 0 711828
247,7900
7
0 5498,49007
190
TRENGGALEK_201
4
0,956329
TRENGGALEK_
2012(0,736842);
TRENGGALEK_
2016(0,263158)
0 0 11755 0 -3090,52631 468003,474 73,9 0 1692,2
191 LUMAJANG_2013 0,960151
BLITAR_2010(0,
042691);
LUMAJANG_201
0(0,943099);
MALANG_2015(
0,014210)
0 0 34489 0 0 708194
219,3179
61
0 5503,71796
192
TRENGGALEK_201
7
0,960736
TRENGGALEK_
2012(0,969925);
TRENGGALEK_
2016(0,030075)
0 0
11759,42
857
0 -2104,91729 465608,083
68,43571
4
0 1742,95143
193 MALANG_2011 0,963545
BANYUWANGI_
2015(0,079859);
JEMBER_2010(0,
086815);
MALANG_2015(
0,833326)
0 0 43764 0 0 1674540
272,4530
32
0 7473,58303
194 MALANG_2010 0,964877
BANYUWANGI_
2015(0,109914);
JEMBER_2010(0,
077037);
MALANG_2015(
0,813049)
0 0 43855 0 0 1656472
262,5656
36
0 7475,60564
195 LUMAJANG_2017 0,965226
BLITAR_2010(0,
079461);
LUMAJANG_201
0(0,909595);
MALANG_2015(
0,010944)
0 0
34345,57
143
0 0 706511,571
190,6991
18
0 5484,02769
196
TRENGGALEK_201
3
0,965666
TRENGGALEK_
2012(0,894737);
TRENGGALEK_
2016(0,105263)
0 0 11758 0 -1611,21053 466380,789 59,28 0 1726,58
197
TRENGGALEK_201
5
0,969977
TRENGGALEK_
2012(0,421053);
TRENGGALEK_
2016(0,578947)
0 0 11749 0 -2285,1579 471248,842 48,74 0 1623,44
198 LUMAJANG_2012 0,972417
BLITAR_2010(0,
035563);
LUMAJANG_201
0(0,955827);
MALANG_2015(
0,008610)
0 0 34491 0 0 701978
151,6314
01
0 5497,3314
199 BLITAR_2012 0,976501
BLITAR_2010(0,
980461);
MALANG_2015(
0,013788);
TRENGGALEK_
2010(0,005751)
0 0 31043 0 0 750928
120,2194
11
0 5115,91941
200 MAGETAN_2011 0,979252
LUMAJANG_201
0(0,016537);
MAGETAN_2010
(0,942619);
PACITAN_2010(
0,040845)
0 0 22944 0 0 416301
57,92556
4
0 2791,82556
201
BANYUWANGI_20
17
0,981441
BANYUWANGI_
2013(0,812049);
BANYUWANGI_
2015(0,041531);
JEMBER_2010(0,
146420)
0 0
62786,85
714
0 0 1148621,76
160,8141
4
0 8665,17761
202 BLITAR_2011 0,983734
BLITAR_2010(0,
990268);
MALANG_2015(
0,006886);
TRENGGALEK_
2010(0,002846)
0 0 31046 0 0 744825
83,14484
7
0 5111,54485
203 PACITAN_2013 0,985807
PACITAN_2010(
0,100016);
PACITAN_2012(
0,869970);
TRENGGALEK_
2010(0,030015)
0 0 12763 0 0 366258
21,66182
8
0 1526,26183
204 MALANG_2017 0,986226
BANYUWANGI_
2015(0,043289);
JEMBER_2010(0,
029821);
MALANG_2015(
0 0
40720,85
714
0 0 1707699,57
100,0966
88
0 7267,08383

NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
0,926890)
205 PACITAN_2017 0,988093
PACITAN_2010(
0,177972);
PACITAN_2012(
0,794474);
TRENGGALEK_
2010(0,027554)
0 0
12786,85
714
0 0 365647,143
18,18023
5
0 1526,86881
206 PACITAN_2015 0,988964
PACITAN_2012(
0,182732);
PACITAN_2014(
0,791235);
TRENGGALEK_
2010(0,026033)
0 0 12650 0 0 369710
16,65958
5
0 1509,55959
207
BANYUWANGI_20
16
0,989691
BANYUWANGI_
2015(0,988620);
LUMAJANG_201
0(0,001678);
MALANG_2015(
0,009703)
0 0 55398 0 0 1092594
84,02197
1
0 8150,52197
208
BANYUWANGI_20
12
0,990979
BANYUWANGI_
2010(0,759120);
BANYUWANGI_
2013(0,219724);
JEMBER_2010(0,
021156)
0 0 62029 0 0 1065617
77,07234
8
0 8543,27235
209 PACITAN_2011 0,991028
LUMAJANG_201
0(0,001156);
PACITAN_2010(
0,978255);
TRENGGALEK_
2010(0,020589)
0 0 13039 0 0 361486
13,84235
4
0 1542,82235
210 LUMAJANG_2011 0,991335
BLITAR_2010(0,
006028);
LUMAJANG_201
0(0,989069);
MALANG_2015(
0,004903)
0 0 34580 0 0 696685
47,68433
6
0 5502,78434
211
BANYUWANGI_20
14
0,99251
BANYUWANGI_
2013(0,777558);
BANYUWANGI_
2015(0,215040);
JEMBER_2010(0,
007402)
0 0 59070 0 0 1080701
62,82195
2
0 8387,52195
212 MALANG_2014 0,992807
BANYUWANGI_
2015(0,018938);
JEMBER_2010(0,
016408);
MALANG_2015(
0,964654)
0 0 39739 0 0 1725799 51,80732 0 7202,25732
213 MALANG_2012 0,992825
BANYUWANGI_
2015(0,070648);
JEMBER_2010(0,
014654);
MALANG_2015(
0,914698)
0 0 40537 0 0 1692269
52,01845
1
0 7250,36845
214 MALANG_2016 0,996415
MALANG_2015(
0,995880);
TRENGGALEK_
2010(0,004120)
0 0 38610 0 -19284,7055 1735561,29
25,49482
6
0 7112,14483
215
BANYUWANGI_20
11
0,996994
BANYUWANGI_
2010(0,893213);
BANYUWANGI_
2013(0,095374);
JEMBER_2010(0,
011413)
0 0 62130 0 0 1057294
25,66856
2
0 8540,36856
216 MALANG_2013 0,997395
BANYUWANGI_
2015(0,046693);
JEMBER_2010(0,
007307);
MALANG_2015(
0,946001)
0 0 39820 0 0 1709126
18,76407
2
0 7203,91407
217
BANYUWANGI_20
10
1
BANYUWANGI_
2010(1,000000)
0 0 62132 0 0 1048823 0 0 8531,98
218
BANYUWANGI_20
13
1
BANYUWANGI_
2013(1,000000)
0 0 59819 0 0 1074243 0 0 8432,8
219
BANYUWANGI_20
15
1
BANYUWANGI_
2015(1,000000)
0 0 55597 0 0 1086913 0 0 8165
220 BLITAR_2010 1
BLITAR_2010(1,
000000)
0 0 31048 0 0 738722 0 0 5107,01
221 JEMBER_2010 1
JEMBER_2010(1,
000000)
0 0 81286 0 0 1578631 0 0 10095,82
222 LUMAJANG_2010 1
LUMAJANG_201
0(1,000000)
0 0 34581 0 0 691253 0 0 5497,11
223 MAGETAN_2010 1
MAGETAN_2010
(1,000000)
0 0 23169 0 0 413958 0 0 2798,92
224 MALANG_2015 1
MALANG_2015(
1,000000)
0 0 38721 0 0 1740845 0 0 7134,14
225 PACITAN_2010 1
PACITAN_2010(
1,000000)
0 0 13040 0 0 359054 0 0 1532,82
226 PACITAN_2012 1
PACITAN_2012(
1,000000)
0 0 12765 0 0 363903 0 0 1516,2
227 PACITAN_2014 1
PACITAN_2014(
1,000000)
0 0 12652 0 0 368129 0 0 1498,6
228 PACITAN_2016 1
PACITAN_2016(
1,000000)
0 0 12599 0 0 370990 0 0 1486,72
229
TRENGGALEK_201
0
1
TRENGGALEK_
2010(1,000000)
0 0 11782 0 0 458523 0 0 1796,05

NO DMU Score
Benchmark
(Lambda)
Proportion
ate
Movement
(land)
Slack
Movemen
t (land)
Projecti
on
(land)
Propo
rtiona
te
Move
ment
(labor
)
Slack
Movement
(labor)
Projection
(labor)
Proportio
nate
Movemen
t
(producti
vity)
Slack
Movement
(productivity)
Projection
(productivity)
230
TRENGGALEK_201
1
1
TRENGGALEK_
2011(1,000000)
0 0 11771 0 0 461973 0 0 1784
231
TRENGGALEK_201
2
1
TRENGGALEK_
2012(1,000000)
0 0 11760 0 0 465299 0 0 1749,5
232
TRENGGALEK_201
6
1
TRENGGALEK_
2016(1,000000)
0 0 11741 0 0 475576 0 0 1531,76
Tabel III DEA Results Envelopment Model (weights, Dual Values)
NO DMU Score Dual Price (land) Dual Price (labor)
Dual Price
(productivity)
v*
1 SIDOARJO_2011 0,201571 -5,00654E-05 0 0,000252658 0,136084
2 SIDOARJO_2010 0,204003 -5,00428E-05 0 0,000252544 0,136023
3 SIDOARJO_2012 0,210651 -5,32485E-05 0 0,000268722 0,144736
4 SIDOARJO_2013 0,213571 -5,4431E-05 0 0,00027469 0,14795
5 SIDOARJO_2017 0,220411 -5,64106E-05 0 0,00028468 0,153331
6 SIDOARJO_2014 0,22089 -5,72611E-05 0 0,000288971 0,155643
7 SIDOARJO_2016 0,250839 -6,794E-05 0 0,000342863 0,184669
8 SIDOARJO_2015 0,258042 -6,75727E-05 0 0,00034101 0,183671
9 GRESIK_2016 0,28825 -1,77721E-05 -1,92862E-07 0,0001686 -0,178919
10 GRESIK_2015 0,317403 -1,78071E-05 -1,93242E-07 0,000168932 -0,179271
11 GRESIK_2014 0,320888 -1,77483E-05 -1,92604E-07 0,000168374 -0,17868
12 GRESIK_2017 0,328159 -1,7767E-05 -1,92807E-07 0,000168551 -0,178867
13 GRESIK_2013 0,332775 -1,77744E-05 -1,92887E-07 0,000168622 -0,178942
14 GRESIK_2012 0,351362 -1,77474E-05 -1,92594E-07 0,000168366 -0,178671
15 GRESIK_2011 0,358203 -1,77526E-05 -1,92651E-07 0,000168416 -0,178723
16 BANGKALAN_2016 0,359842 -3,14142E-05 -4,93005E-07 0,000224517 0,192933
17 GRESIK_2010 0,373751 -1,77633E-05 -1,92767E-07 0,000168517 -0,178831
18 BANGKALAN_2015 0,39906 -2,67427E-05 -9,2872E-07 0,000223138 0,340155
19 BANGKALAN_2014 0,424207 -2,6877E-05 -9,33384E-07 0,000224259 0,341863
20 BANGKALAN_2017 0,427032 -2,68514E-05 -9,32497E-07 0,000224045 0,341538
21 BANGKALAN_2013 0,432337 -2,6739E-05 -9,28592E-07 0,000223107 0,340108
22 SITUBONDO_2016 0,437081 0 -2,81261E-06 0,000289054 0,355263
23 BANGKALAN_2012 0,443012 -2,08778E-05 -1,32517E-06 0,000224492 0,403949
24 BANGKALAN_2011 0,46083 -2,09983E-05 -1,33281E-06 0,000225787 0,40628
25 PONOROGO_2016 0,465615 0 -2,13887E-06 0,000219813 0,270162
26 LAMONGAN_2016 0,466212 0 -1,2764E-06 0,000150386 0,055626
27 PONOROGO_2015 0,474164 0 -2,1465E-06 0,000220598 0,271127
28 LAMONGAN_2015 0,477055 0 -1,2791E-06 0,000150705 0,055744
29 BANGKALAN_2010 0,480786 -2,12203E-05 -1,3469E-06 0,000228173 0,410574
30 SITUBONDO_2015 0,480934 0 -2,83909E-06 0,000291776 0,358608
31 LAMONGAN_2013 0,517185 0 -1,2869E-06 0,000151623 0,056084
32 LAMONGAN_2017 0,527432 0 -1,28895E-06 0,000151865 0,056173
33 LAMONGAN_2012 0,529607 0 -1,29301E-06 0,000152344 0,05635
34 TUBAN_2016 0,529828 0 -1,29587E-06 0,00015268 0,056475
35 JOMBANG_2016 0,539477 -1,6342E-05 -1,77343E-07 0,000155033 -0,164522
36 JOMBANG_2014 0,542393 -1,12027E-05 -4,41276E-07 0,000153692 -0,152424
37 TUBAN_2015 0,542684 0 -1,30442E-06 0,000153687 0,056847
38 JOMBANG_2015 0,543054 -1,63309E-05 -1,77223E-07 0,000154928 -0,164411
39 BOJONEGORO_2016 0,543522 0 -1,21677E-06 0,00014336 0,053028
40 JOMBANG_2013 0,545882 -1,121E-05 -4,41562E-07 0,000153791 -0,152523
41 LAMONGAN_2011 0,546479 0 -1,29934E-06 0,000153088 0,056626
42 SITUBONDO_2014 0,552446 0 -2,86786E-06 0,000294732 0,362242
43 JOMBANG_2017 0,553479 -1,12303E-05 -4,42362E-07 0,00015407 -0,152799
44 BOJONEGORO_2015 0,553782 0 -1,22252E-06 0,000144038 0,053278
45 PONOROGO_2017 0,554678 0 -2,1722E-06 0,000223239 0,274372
46 LAMONGAN_2010 0,555375 0 -1,30585E-06 0,000153856 0,05691
47 TUBAN_2014 0,557353 0 -1,31389E-06 0,000154803 0,05726
48 JOMBANG_2012 0,562619 -1,12544E-05 -4,43311E-07 0,0001544 -0,153127
49 MOJOKERTO_2014 0,563083 -3,18984E-05 -1,58329E-07 0,000199012 0,09099
50 MOJOKERTO_2013 0,563089 -3,18403E-05 -1,58041E-07 0,000198649 0,090825
51 BOJONEGORO_2014 0,564857 0 -1,22919E-06 0,000144824 0,053569
52 MOJOKERTO_2012 0,565384 -2,76621E-05 -4,34121E-07 0,000197701 0,169889
53 JOMBANG_2011 0,56647 -1,12374E-05 -4,4264E-07 0,000154167 -0,152895
54 PONOROGO_2014 0,567273 0 -2,15598E-06 0,000221571 0,272323
55 MOJOKERTO_2011 0,570558 -2,73914E-05 -4,29872E-07 0,000195765 0,168226
56 MOJOKERTO_2016 0,57098 -3,29562E-05 -1,6358E-07 0,000205611 0,094008
57 NGAWI_2016 0,571747 0 -2,24192E-06 0,000230404 0,283179
58 MOJOKERTO_2017 0,571964 -3,19173E-05 -1,58423E-07 0,000199129 0,091044
59 TUBAN_2017 0,574383 0 -1,3259E-06 0,000156219 0,057784

Dual Price
(productivity)
v*
60 MOJOKERTO_2015 0,575066 -3,28806E-05 -1,63204E-07 0,000205139 0,093792
61 PONOROGO_2013 0,576134 0 -2,16833E-06 0,000222841 0,273883
62 TUBAN_2013 0,576678 0 -1,32389E-06 0,000155981 0,057696
63 BOJONEGORO_2013 0,577841 0 -1,23712E-06 0,000145758 0,053914
64 SITUBONDO_2017 0,578803 0 -2,90617E-06 0,000298669 0,36708
65 JOMBANG_2010 0,58032 -1,12355E-05 -4,42566E-07 0,000154141 -0,152869
66 PONOROGO_2012 0,581497 0 -2,18274E-06 0,000224322 0,275704
67 BOJONEGORO_2017 0,585981 0 -1,2801E-06 0,000150822 0,055787
68 BOJONEGORO_2012 0,586682 0 -1,24558E-06 0,000146755 0,054283
69 SITUBONDO_2013 0,588155 0 -2,90876E-06 0,000298935 0,367408
70 PONOROGO_2011 0,59212 0 -2,19923E-06 0,000226016 0,277786
71 BOJONEGORO_2011 0,592984 0 -1,25507E-06 0,000147873 0,054697
72 TUBAN_2012 0,593139 0 -1,33616E-06 0,000157427 0,058231
73 NGAWI_2015 0,596576 0 -2,24866E-06 0,000231097 0,28403
74 BONDOWOSO_2016 0,597211 0 -2,46609E-06 0,000253442 0,311494
75 LAMONGAN_2014 0,60127 0 -1,28262E-06 0,000151119 0,055897
76 MOJOKERTO_2010 0,605036 -2,74175E-05 -4,30282E-07 0,000195952 0,168387
77 TUBAN_2011 0,605183 0 -1,34851E-06 0,000158882 0,058769
78 BOJONEGORO_2010 0,610654 0 -1,26465E-06 0,000149002 0,055114
79 SUMENEP_2016 0,618947 -4,13946E-05 -2,05464E-07 0,000258257 0,118078
80 TUBAN_2010 0,619344 0 -1,36113E-06 0,000160369 0,059319
81 NGAWI_2014 0,619652 0 -2,25746E-06 0,000232001 0,285142
82 TULUNGAGUNG_2016 0,62034 -3,81091E-05 -1,89156E-07 0,000237759 0,108706
83 PONOROGO_2010 0,630246 0 -2,21595E-06 0,000227735 0,279899
84 PASURUAN_2016 0,634418 -1,62237E-05 -1,76059E-07 0,000153911 -0,163331
85 BONDOWOSO_2015 0,634726 0 -2,48767E-06 0,000255659 0,314219
86 SITUBONDO_2012 0,637501 0 -2,93681E-06 0,000301819 0,370952
87 PASURUAN_2015 0,639333 -1,62265E-05 -1,7609E-07 0,000153938 -0,163359
88 KEDIRI_2016 0,642276 -1,62547E-05 -1,76396E-07 0,000154205 -0,163643
89 PASURUAN_2014 0,642409 -1,6228E-05 -1,76106E-07 0,000153952 -0,163374
90 NGAWI_2013 0,643671 0 -2,27628E-06 0,000233935 0,287518
91 BONDOWOSO_2014 0,651993 0 -2,51204E-06 0,000258164 0,317298
92 SITUBONDO_2011 0,653067 0 -2,97472E-06 0,000305714 0,37574
93 NGAWI_2012 0,656869 0 -2,29221E-06 0,000235572 0,289531
94 PASURUAN_2017 0,658154 -1,62222E-05 -1,76043E-07 0,000153897 -0,163316
95 KEDIRI_2015 0,659015 -1,62482E-05 -1,76325E-07 0,000154143 -0,163578
96 PASURUAN_2013 0,659916 -1,62599E-05 -1,76453E-07 0,000154255 -0,163696
97 PASURUAN_2012 0,671789 -1,62669E-05 -1,76528E-07 0,000154321 -0,163766
98 BONDOWOSO_2013 0,672101 0 -2,53851E-06 0,000260884 0,320641
99 PASURUAN_2011 0,672327 -1,61597E-05 -1,75364E-07 0,000153303 -0,162686
100 KEDIRI_2014 0,673757 -1,62688E-05 -1,76549E-07 0,000154339 -0,163785
101 KEDIRI_2017 0,673794 -1,61309E-05 -1,75053E-07 0,000153031 -0,162397
102 BONDOWOSO_2017 0,675048 0 -2,54275E-06 0,00026132 0,321176
103 KEDIRI_2013 0,680232 -1,60009E-05 -1,73641E-07 0,000151797 -0,161088
104 NGANJUK_2013 0,681707 0 -1,52194E-06 0,000179316 0,066327
105 NGANJUK_2016 0,682974 0 -1,4944E-06 0,000176071 0,065127
106 KEDIRI_2012 0,683286 -1,60248E-05 -1,73901E-07 0,000152024 -0,161328
107 NGAWI_2011 0,684893 0 -2,3079E-06 0,000237184 0,291512
108 TULUNGAGUNG_2015 0,685051 -3,80983E-05 -1,89103E-07 0,000237692 0,108676
109 TULUNGAGUNG_2014 0,685319 -3,80038E-05 -1,88633E-07 0,000237102 0,108406
110 SAMPANG_2016 0,685972 -4,97938E-05 -2,47154E-07 0,000310659 0,142037
111 PASURUAN_2010 0,686807 -1,61912E-05 -1,75706E-07 0,000153602 -0,163003
112 KEDIRI_2011 0,687485 -1,60501E-05 -1,74175E-07 0,000152264 -0,161583
113 KEDIRI_2010 0,689922 -1,60745E-05 -1,7444E-07 0,000152495 -0,161828
114 TULUNGAGUNG_2013 0,691581 -3,80313E-05 -1,8877E-07 0,000237274 0,108484
115 NGANJUK_2012 0,692323 0 -1,53398E-06 0,000180735 0,066852
116 SAMPANG_2015 0,693454 -4,94813E-05 -2,45603E-07 0,000308709 0,141146
117 NGAWI_2017 0,693839 0 -1,94272E-06 0,000199654 0,245386
118 NGANJUK_2015 0,696319 0 -1,50244E-06 0,000177018 0,065477
119 NGANJUK_2017 0,697922 0 -1,52404E-06 0,000179563 0,066419
120 BONDOWOSO_2012 0,700774 0 -2,56892E-06 0,00026401 0,324482
121 NGANJUK_2011 0,706653 0 -1,77354E-06 0,000182268 0,224017
122 NGAWI_2010 0,709762 0 -2,32395E-06 0,000238834 0,29354
123 NGANJUK_2014 0,711369 0 -1,51159E-06 0,000178096 0,065876
124 TULUNGAGUNG_2017 0,715204 -4,09782E-05 -2,03397E-07 0,000255659 0,116891
125 NGANJUK_2010 0,716052 0 -1,79054E-06 0,000184015 0,226165
126 SITUBONDO_2010 0,717109 0 -3,01429E-06 0,000309781 0,380738
127 SAMPANG_2014 0,718519 -4,93391E-05 -2,44897E-07 0,000307822 0,14074
128 BONDOWOSO_2011 0,718633 0 -2,60083E-06 0,000267289 0,328513
129 TULUNGAGUNG_2012 0,729167 -3,80648E-05 -1,88936E-07 0,000237483 0,10858
130 SAMPANG_2017 0,731096 -4,92403E-05 -2,44406E-07 0,000307206 0,140458
131 SAMPANG_2013 0,732701 -4,93925E-05 -2,45162E-07 0,000308155 0,140892

Dual Price
(productivity)
v*
132 SAMPANG_2012 0,737474 -4,92011E-05 -2,44212E-07 0,000306961 0,140346
133 MADIUN_2016 0,73754 0 -2,97117E-06 0,000305349 0,375291
134 TULUNGAGUNG_2011 0,748748 -3,79823E-05 -1,88527E-07 0,000236968 0,108345
135 TULUNGAGUNG_2010 0,754612 -3,32134E-05 -5,21241E-07 0,000237375 0,203983
136 BONDOWOSO_2010 0,757591 0 -2,63387E-06 0,000270684 0,332686
137 MADIUN_2015 0,758799 0 -2,98863E-06 0,000307144 0,377497
138 SAMPANG_2011 0,760489 -4,25611E-05 -6,67942E-07 0,000304184 0,261393
139 MADIUN_2017 0,771211 0 -2,78154E-06 0,000285861 0,351339
140 PAMEKASAN_2016 0,772928 -9,74576E-05 0 0,000491826 0,264902
141 MADIUN_2014 0,772997 0 -3,00923E-06 0,000309261 0,380098
142 PROBOLINGGO_2016 0,783125 -1,8614E-05 -2,01999E-07 0,000176587 -0,187395
143 MADIUN_2013 0,789254 0 -3,03272E-06 0,000311675 0,383065
144 SAMPANG_2010 0,792026 -4,279E-05 -6,71533E-07 0,000305819 0,262799
145 PAMEKASAN_2013 0,794465 -9,06628E-05 0 0,000457536 0,246433
146 PAMEKASAN_2015 0,795773 -9,47519E-05 0 0,000478171 0,257547
147 PAMEKASAN_2014 0,800701 -9,31283E-05 0 0,000469978 0,253134
148 PAMEKASAN_2017 0,800779 -9,13217E-05 0 0,00046086 0,248223
149 PAMEKASAN_2011 0,80685 -7,14308E-05 -3,5455E-07 0,00044565 0,203757
150 PAMEKASAN_2012 0,808409 -7,17869E-05 -3,56317E-07 0,000447872 0,204772
151 PROBOLINGGO_2015 0,814367 -1,8635E-05 -2,02227E-07 0,000176787 -0,187607
152 MADIUN_2012 0,814448 0 -3,063E-06 0,000314787 0,386891
153 MADIUN_2011 0,824092 0 -3,0946E-06 0,000318035 0,390882
154 PROBOLINGGO_2013 0,831918 -1,83146E-05 -1,9875E-07 0,000173747 -0,184381
155 MADIUN_2010 0,835363 0 -3,1265E-06 0,000321313 0,394912
156 PAMEKASAN_2010 0,835865 -7,1581E-05 -3,55296E-07 0,000446588 0,204185
157 PROBOLINGGO_2014 0,839379 -1,8655E-05 -2,02444E-07 0,000176976 -0,187808
158 SUMENEP_2015 0,840561 -4,11889E-05 -2,04443E-07 0,000256974 0,117492
159 PROBOLINGGO_2017 0,841011 -1,84469E-05 -2,00185E-07 0,000175002 -0,185713
160 SUMENEP_2017 0,84641 -4,04074E-05 -2,00564E-07 0,000252098 0,115262
161 PROBOLINGGO_2012 0,855425 -1,83198E-05 -1,98806E-07 0,000173796 -0,184434
162 PROBOLINGGO_2011 0,871475 -1,82897E-05 -1,9848E-07 0,000173511 -0,184131
163 SUMENEP_2014 0,872803 -4,03906E-05 -2,0048E-07 0,000251993 0,115214
164 MAGETAN_2016 0,886072 -3,32507E-05 -2,11051E-06 0,000357532 0,643342
165 SUMENEP_2012 0,886323 -4,00439E-05 -1,9876E-07 0,00024983 0,114225
166 SUMENEP_2013 0,887744 -4,02067E-05 -1,99568E-07 0,000250846 0,11469
167 PROBOLINGGO_2010 0,889917 -1,83099E-05 -1,98699E-07 0,000173702 -0,184334
168 SUMENEP_2011 0,891988 -3,98739E-05 -1,97916E-07 0,00024877 0,11374
169 BLITAR_2016 0,89375 -3,12881E-05 -1,553E-07 0,000195204 0,089249
170 MAGETAN_2015 0,898076 -3,31922E-05 -2,1068E-06 0,000356903 0,642211
171 JEMBER_2016 0,904621 -7,10872E-06 0 0,000102166 -0,453609
172 JEMBER_2011 0,905622 -6,89207E-06 0 9,90523E-05 -0,439785
173 BLITAR_2015 0,909708 -3,13029E-05 -1,55373E-07 0,000195296 0,089292
174 JEMBER_2014 0,916111 -7,03229E-06 0 0,000101067 -0,448732
175 JEMBER_2015 0,916441 -7,10362E-06 0 0,000102093 -0,453284
176 JEMBER_2012 0,917525 -6,98923E-06 0 0,000100449 -0,445984
177 JEMBER_2013 0,918008 -7,02903E-06 0 0,000101021 -0,448524
178 SUMENEP_2010 0,918698 -3,9812E-05 -1,97608E-07 0,000248383 0,113564
179 JEMBER_2017 0,925671 -7,00573E-06 0 0,000100686 -0,447037
180 BLITAR_2014 0,930122 -3,12827E-05 -1,55273E-07 0,00019517 0,089234
181 MAGETAN_2014 0,933804 -3,32698E-05 -2,11172E-06 0,000357738 0,643713
182 MAGETAN_2013 0,934046 -3,31616E-05 -2,10485E-06 0,000356574 0,641618
183 LUMAJANG_2015 0,938608 -2,28922E-05 -1,95891E-07 0,00018349 -0,08162
184 LUMAJANG_2016 0,93861 -2,29385E-05 -1,96287E-07 0,000183861 -0,081785
185 MAGETAN_2017 0,939044 -3,32417E-05 -2,10993E-06 0,000357435 0,643168
186 MAGETAN_2012 0,942177 -3,32788E-05 -2,11229E-06 0,000357834 0,643886
187 BLITAR_2013 0,948622 -3,13033E-05 -1,55375E-07 0,000195298 0,089293
188 BLITAR_2017 0,948883 -3,13214E-05 -1,55465E-07 0,000195411 0,089344
189 LUMAJANG_2014 0,954935 -2,26899E-05 -1,94159E-07 0,000181868 -0,080898
190 TRENGGALEK_2014 0,956329 -0,006772249 0 0,000590947 78,607789
191 LUMAJANG_2013 0,960151 -2,26683E-05 -1,93974E-07 0,000181695 -0,080821
192 TRENGGALEK_2017 0,960736 -0,006575054 0 0,00057374 76,31888
193 MALANG_2011 0,963545 -9,43415E-06 -3,25367E-08 0,000133805 -0,53264
194 MALANG_2010 0,964877 -9,43159E-06 -3,25279E-08 0,000133768 -0,532496
195 LUMAJANG_2017 0,965226 -2,27497E-05 -1,94671E-07 0,000182348 -0,081111
196 TRENGGALEK_2013 0,965666 -0,006637399 0 0,00057918 77,042535
197 TRENGGALEK_2015 0,969977 -0,007059084 0 0,000615976 81,937183
198 LUMAJANG_2012 0,972417 -2,26946E-05 -1,942E-07 0,000181906 -0,080915
199 BLITAR_2012 0,976501 -3,13305E-05 -1,5551E-07 0,000195468 0,08937
200 MAGETAN_2011 0,979252 -3,33117E-05 -2,11438E-06 0,000358189 0,644523
201 BANYUWANGI_2017 0,981441 -7,50356E-06 -6,11454E-08 0,000115404 -0,458642
202 BLITAR_2011 0,983734 -3,13573E-05 -1,55644E-07 0,000195636 0,089447
203 PACITAN_2013 0,985807 -9,03102E-05 -2,87605E-06 0,000655196 1,206003

Dual Price
(productivity)
v*
204 MALANG_2017 0,986226 -9,70222E-06 -3,34613E-08 0,000137607 -0,547775
205 PACITAN_2017 0,988093 -9,02743E-05 -2,8749E-06 0,000654935 1,205523
206 PACITAN_2015 0,988964 -0,000288566 -4,95715E-06 0,000662445 4,483065
207 BANYUWANGI_2016 0,989691 -1,29329E-05 -1,40347E-07 0,000122692 -0,130201
208 BANYUWANGI_2012 0,990979 -6,30933E-06 -1,17402E-07 0,000117051 -0,483533
209 PACITAN_2011 0,991028 -7,76811E-05 -2,69771E-06 0,000648163 0,988069
210 LUMAJANG_2011 0,991335 -2,26722E-05 -1,94007E-07 0,000181726 -0,080835
211 BANYUWANGI_2014 0,99251 -7,75195E-06 -6,31695E-08 0,000119225 -0,473825
212 MALANG_2014 0,992807 -9,78955E-06 -3,37625E-08 0,000138845 -0,552706
213 MALANG_2012 0,992825 -9,72459E-06 -3,35384E-08 0,000137924 -0,549038
214 MALANG_2016 0,996415 -2,78615E-05 0 0,000140605 0,075731
215 BANYUWANGI_2011 0,996994 -6,31148E-06 -1,17442E-07 0,000117091 -0,483698
216 MALANG_2013 0,997395 -9,7873E-06 -3,37547E-08 0,000138813 -0,552579
217 BANYUWANGI_2010 1 -8,54328E-06 -3,3652E-07 0,000117206 -0,116239
218 BANYUWANGI_2013 1 -8,43717E-06 -3,05034E-07 0,000118585 -0,167617
219 BANYUWANGI_2015 1 -1,291E-05 -1,40099E-07 0,000122474 -0,12997
220 BLITAR_2010 1 -2,44292E-05 -2,09042E-07 0,000195809 -0,087099
221 JEMBER_2010 1 -6,98377E-06 -2,40858E-08 9,90509E-05 -0,394295
222 LUMAJANG_2010 1 -1,91755E-05 -2,08092E-07 0,000181914 -0,193048
223 MAGETAN_2010 1 -3,32273E-05 -2,10902E-06 0,000357281 0,64289
224 MALANG_2015 1 -1,47754E-05 -1,60342E-07 0,000140171 -0,14875
225 PACITAN_2010 1 -7,8188E-05 -2,71532E-06 0,000652392 0,994516
226 PACITAN_2012 1 -9,09095E-05 -2,89513E-06 0,000659544 1,214006
227 PACITAN_2014 1 -0,000290676 -4,9934E-06 0,00066729 4,515851
228 PACITAN_2016 1 -0,000562478 -7,62692E-06 0,000672622 8,916174
229 TRENGGALEK_2010 1 -8,92427E-05 -4,4296E-07 0,000556777 0,254565
230 TRENGGALEK_2011 1 -0,000614044 0 0,000560538 6,227912
231 TRENGGALEK_2012 1 -0,00179272 0 0,000571592 20,082387
232 TRENGGALEK_2016 1 -0,00748159 0 0,000652844 86,841346

Ijciet 10 01_040

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