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2013
KEVIN
FEBRIANTO
2012100245

[DOID FINANCIAL REPORT]
PT Delta Dunia Makmur Tbk (DOID), which formely known as PT. Delta Dunia
Petroindo Tbk, is holding company with an investment focus on mining services. DOID
was established in 1991 and initially engaged in a variety of businesses including real
estate development, textile manufacturing and exporting. Its shares delisted on the
Indonesia Stock Exchange since June2001. In November2009 following a shift of
investment strategy, DOID acquired 100% shares of PT Bukit Makmur Mandiri Utama
(BUMA).
1

DOID FINANCIAL REPORT

DAFTAR ISI
BAB I
(PENDAHULUAN)
COMPANY PROFILE OF PT DELTA DUNIA MAKMUR...................... 2
STRUCTURE OF PT DELTA DUNIA MAKMUR ................................... 3
BUMA COMPANY .................................................................................... 4
BAB II
DATA HARGA SAHAM DAN GRAFIK .................................................. 6
DIAGRAM BATANG ................................................................................ 7
DIAGRAM GRAFIK .................................................................................. 8
BAB III
TEORI DAN ANALIS ............................................................................... 9
REGRESI .................................................................................................... 10
KORELASI ................................................................................................ 12
BAB IV
PENUTUP ................................................................................................... 13
DAFTAR PUSTAKA .................................................................................. 14
2

DOID FINANCIAL REPORT

PT DELTA DUNIA MAKMUR ,TBK
HISTORICAL FINANCE

BAB I
PENDAHULUAN
COMPANY INFORMATION
Full name
Delta Dunia Makmur Tbk, PT
Headquarters
28/F Cyber 2 Tower Jl HR Rasuna Said
Blok X-5 No 13; Jakarta; Jakarta;
12950

Status: Listed
Legal Form: Public Limited Company
Operational Status: Operational
ISIN CODE : ID1000110505
Financial Auditors: Tjiendradjaja &
Handoko Tomo (2011)
Incorporation Date: November 26, 1990
Total Employees: 10,677
Tel: (62 21) 29021352

About Delta Dunia
PT Delta Dunia Makmur Tbk. Is a holding company with an investment focus on
mining services. Through its wholly owned subsidiary, PT Bukit Makmur Mandiri
Utama (BUMA), Delta Dunia Makmur is now the largest pure play mining contractor
listed on the Indonesian Stock Exchange.

BUMA is the second largest coal mining contractor in Indonesia, providing mining
services under long-term operating agreements with some of Indonesia’s largest coal
producers, such as PT Berau Coal, PT Adaro Indonesia, PT Kideco Jaya Agung and
certain subsidiaries of PT Bayan Resources.
BUMA’s full range of coal mining services include mining infrastructure development
and construction, land clearing, removal of top soil, drilling and blasting, overburden
removal, coal mining, hauling, reclamation and rehabilitation of mine sites.
3

DOID FINANCIAL REPORT

Company Structure

(1) Northstar Tambang Persada Ltd., a consortium of investors consisting of
affiliates/nominated investment vehicles of TPG Capital, Government of Singapore
Investment Corporation Pte Ltd, China Investment Corporation and Northstar Equity
Partners.
(2) Less one share as required by Indonesian regulations

Corporate Portfolio
BUMA, which is our primary operating asset, is one of the largest coal mining services
contractors in Indonesia, based on production volumes.
Established in 1998, BUMA provides open-pit coal mining and mine operation services
under long-term operating agreements to coal producers which have been granted coal
mining concessions within Indonesia. Our operations are concentrated in East, South
and Central Kalimantan, where the majority of Indonesian coal reserves are located. Our
customers include PT Berau Coal, PT Adaro Indonesia, PT Kideco Jaya Agung and
certain subsidiaries of PT Bayan Resources.
4

DOID FINANCIAL REPORT

BUMA (PT Bukit Makmur
Mandiri Utama)
Established in 1998, BUMA provides services to Indonesian coal producers across all
production stages, including geology and planning, overburden removal, coal mining,
coal hauling and reclamation and rehabilitation.
Indonesia has grown to be the world’s largest supplier of seaborne thermal coal. Going
forward, we believe Indonesia will maintain its position as the largest coal exporter due
to its significant reserves and resources of coal, a low-cost exploration and mining
environment, the scalability of infrastructure, and lower freight costs and shorter
delivery lead times given its proximity to those markets that will drive growth – China,
India and other key Asian importers.
We believe that significant majority of Indonesia’s coal production is outsourced to
mining services contractors like us. This, combined with robust demand of coal creates
huge opportunities for growth. We believe BUMA is well positioned to capture the
opportunities given our reputation for being one of Indonesia’s most reliable and
efficient mining services contractors with strong performance track record for meeting
contracted production targets and coal delivery obligations as well as proven track
record of management team.
We typically enter into long-term operating agreements with coal concession holders,
usually within three to 10 years of the date of the agreement. As of December 31, 2010,
we provide coal mining services to nine Indonesian coal producers with respect to 11
coal concessions held by them under 15 long-term operating agreements.

TUJUAN PENULISAN
Tujuan penulisan ini sangat bermanfaat bagi mahasiswa untuk mampu
mengelola , menampilkan dan menyajikan sesuatu data menjadi suatu informasi dan
menganalisis sebab akibat demi mengetahui kelemahan dan kelebihan dari pergeakan
suatu perusahaan yang kita tangani. Selain itu dengan metodelogi pengelolaan data atau
software yang kita pergunakan, menambah skill serta pengetahuan mahasiswa dalam
mengoprasikan SPSS dan mengambil kesimpulan dari data yang telah di sajikan oleh
SPSS.
5

DOID FINANCIAL REPORT

BAB II
DATA PROBABILITAS
Prices
Date

Close (X)

Volume (Y)

Sep 30, 2013

89

18646000

Sep 27, 2013

94

18286000

Sep 26, 2013

95

25033500

Sep 25, 2013

94

48841500

Sep 24, 2013

97

187927000

Sep 23, 2013

99

76707000

Sep 20, 2013

95

60852000

Sep 19, 2013

101

64900000

Sep 18, 2013

102

213252000

Sep 17, 2013

95

18013500

Sep 16, 2013

95

24590000

Sep 13, 2013

92

2961500

Sep 12, 2013

93

9184500

Sep 11, 2013

93

17438000

Sep 10, 2013

94

17258500

Sep 9, 2013

97

8434000

Sep 6, 2013

97

4726500

Sep 5, 2013

98

25498000

Sep 4, 2013

99

100368000

Sep 3, 2013

101

54190500

Sep 2, 2013

91

3488500

Aug 30, 2013

92

3200000

Aug 29, 2013

90

4010000

Aug 28, 2013

90

7220000

Aug 27, 2013

89

24884000

Aug 26, 2013

99

18761500

Aug 23, 2013

95

10206500

Aug 22, 2013

94

16738000

Aug 21, 2013

98

4961000

Aug 20, 2013

99

17396000

Aug 19, 2013

107

2250500

Aug 16, 2013

116

1854000

Aug 15, 2013

118

4212000
6

DOID FINANCIAL REPORT

Aug 14, 2013

118

2363500

Aug 13, 2013

119

795

Aug 12, 2013

120

1679000

Aug 2, 2013

115

3436000

Aug 1, 2013

116

1284500

DAFTAR HARGA SAHAM DAN GRAFIK
Prices
Date

Close (X)

Volume (Y)

XY

X²

Y²

Sep 30, 2013

89

18646000

Sep 27, 2013

94

18286000

Sep 26, 2013

95

25033500

Sep 25, 2013

94

48841500

Sep 24, 2013

97

187927000

Sep 23, 2013

99

76707000

Sep 20, 2013

95

60852000

Sep 19, 2013

101

64900000

Sep 18, 2013

102

213252000

Sep 17, 2013

95

18013500

Sep 16, 2013

95

24590000

Sep 13, 2013

92

2961500

Sep 12, 2013

93

9184500

Sep 11, 2013

93

17438000

Sep 10, 2013

94

17258500

Sep 9, 2013

97

8434000

Sep 6, 2013

97

4726500

Sep 5, 2013

98

25498000

Sep 4, 2013

99

100368000

Sep 3, 2013

101

54190500

Sep 2, 2013

91

3488500

Aug 30, 2013

92

3200000

Aug 29, 2013

90

4010000

Aug 28, 2013

90

7220000

Aug 27, 2013

89

24884000

Aug 26, 2013

99

18761500

Aug 23, 2013

95

10206500

Aug 22, 2013

94

16738000

1659494000
1718884000
2378182500
4591101000
18228919000
7593993000
5780940000
6554900000
21751704000
1711282500
2336050000
272458000
854158500
1621734000
1622299000
818098000
458470500
2498804000
9936432000
5473240500
317453500
294400000
360900000
649800000
2214676000
1857388500
969617500
1573372000

7921
8836
9025
8836
9409
9801
9025
10201
10404
9025
9025
8464
8649
8649
8836
9409
9409
9604
9801
10201
8281
8464
8100
8100
7921
9801
9025
8836

3,47673E+14
3,34378E+14
6,26676E+14
2,38549E+15
3,53166E+16
5,88396E+15
3,70297E+15
4,21201E+15
4,54764E+16
3,24486E+14
6,04668E+14
8,77048E+12
8,4355E+13
3,04084E+14
2,97856E+14
7,11324E+13
2,23398E+13
6,50148E+14
1,00737E+16
2,93661E+15
1,21696E+13
1,024E+13
1,60801E+13
5,21284E+13
6,19213E+14
3,51994E+14
1,04173E+14
2,80161E+14
DOID FINANCIAL REPORT

Aug 21, 2013

98

Aug 20, 2013

99

17396000

Aug 19, 2013

107

2250500

Aug 16, 2013

116

1854000

Aug 15, 2013

118

4212000

Aug 14, 2013

118

2363500

Aug 13, 2013

119

795

Aug 12, 2013

120

1679000

Aug 2, 2013

115

3436000

Aug 1, 2013

116

486178000
1722204000
240803500
215064000
497016000
278893000
94605
201480000
395140000
149002000

4961000

1284500

9604
9801
11449
13456
13924
13924
14161
14400
13225
13456

2,46115E+13
3,02621E+14
5,06475E+12
3,43732E+12
1,77409E+13
5,58613E+12
632025
2,81904E+12
1,18061E+13
1,64994E+12

* Close price adjusted for dividends and splits.

DIAGRAM BATANG
PT DELTA DUNIA MAKMUR , TBK

Close (X)

Aug 2, 2013

Aug 13, 2013

Aug 15, 2013

Aug 19, 2013

Aug 21, 2013

Aug 23, 2013

Aug 27, 2013

Aug 29, 2013

Sep 2, 2013

Sep 4, 2013

Sep 6, 2013

Sep 10, 2013

Sep 12, 2013

Close (X)
Sep 16, 2013

Sep 20, 2013

Sep 18, 2013

120
100
80
60
40
20
0
Sep 30, 2013
Sep 26, 2013
Sep 24, 2013

7
8

DOID FINANCIAL REPORT

DIAGRAM LINE
PT DELTA DUNIA MAKMUR , TBK

Close (X)
140

120

100

80

Close (X)
60

40

20

0
Sep 30, 20132013201320132013201320132013 4, 20132013 2013201320132013201320132013
Sep 26, 24, 20, 18, 16, 12, 10, 6, 2013 2, 29, 27, 23, 21, 19, 15, 13, 2, 2013
Sep Sep Sep Sep Sep Sep Sep Sep Sep Aug Aug Aug Aug Aug Aug Aug Aug
9

DOID FINANCIAL REPORT

BAB III
TEORI DAN ANALISIS

I.

REGRESI

Analisis regresi dalam statistika adalah salah satu metode untuk menentukan hubungan
sebab-akibat antara satu variabel dengan variabel(-variabel) yang lain. Variabel
"penyebab" disebut dengan bermacam-macam istilah: variabel penjelas, variabel
eksplanatorik, variabel independen, atau secara bebas, variabel X (karena seringkali
digambarkan dalam grafik sebagai absis, atau sumbu X). Variabel terkena akibat
dikenal sebagai variabel yang dipengaruhi, variabel dependen, variabel terikat,
atau variabel Y. Kedua variabel ini dapat merupakan variabel acak (random), namun
variabel yang dipengaruhi harus selalu variabel acak.
Analisis regresi adalah salah satu analisis yang paling populer dan luas pemakaiannya.
Analisis regresi dipakai secara luas untuk melakukan prediksi dan ramalan, dengan
penggunaan yang saling melengkapi dengan bidang pembelajaran mesin. Analisis ini
juga digunakan untuk memahami variabel bebas mana saja yang berhubungan dengan
variabel terikat, dan untuk mengetahui bentuk-bentuk hubungan tersebut.

Regression

Variables Entered/Removed

a

Variables
Model

Variables Entered

1

X

b

a. Dependent Variable: Y
b. All requested variables entered.

Removed

Method
. Enter
10

DOID FINANCIAL REPORT

Model Summary
Adjusted R
Model

R

1

Std. Error of the

Square

Estimate

R Square
,110

a

,012

-,015

47485002,10538

a. Predictors: (Constant), X

a

ANOVA
Model
1

Sum of Squares
Regression

df

10029909469411

1

72,000
Residual

81173715298140

36

832,000
Total

Mean Square

82176706245081

F

10029909469411
72,000

Sig.
,445

,509

b

22548254249483
56,000

37

984,000
a. Dependent Variable: Y
b. Predictors: (Constant), X

Coefficients

a

Standardized
Unstandardized Coefficients
Model
1

B
(Constant)
X

Std. Error

84930736,834

832578,075

Beta

t

83307966,193

-555286,372

Coefficients
Sig.
1,019
-,110

,315

-,667

,509

a. Dependent Variable: Y

Rumus Persamaan regresi adalah Y’ = a + bX
Hasil analisis regresi adalah berupa koefisien regresi untuk masing-masing variable
independent. Koefisien ini diperoleh dengan cara memprediksi nilai variable dependen
dengan suatu persamaan. Koefisien regresi dihitung dengan dua tujuan sekaligus :
Pertama, meminimumkan penyimpangan antara nilai actual dan nilai estimasi variable
dependen; Kedua, mengoptimalkan korelasi antara nilai actual dan nilai estimasi
11

DOID FINANCIAL REPORT

variable dependen berdasarkan data yang ada. Teknik estimasi variable dependen yang
melandasi analisis regresi disebut Ordinary Least Squares (pangkat kuadrat terkecil
biasa).

II.

KORELASI

Dalam teori probabilitas dan statistika, korelasi, juga disebut koefisien korelasi, adalah
nilaiyang menunjukkan kekuatan dan arah hubungan linier antara dua peubah
acak (random variable).
Istilah regresi pertama kali diperkenalkan oleh Sir Francis Galton pada tahun 1886.
Galton menemukan adanya tendensi bahwa orang tua yang memiliki tubuh tinggi
memiliki anak-anak yang tinggi, orang tua yang pendek memiliki anak-anak yang
pendek pula. Kendati demikian. Ia mengamati bahwa ada kecenderungan tinggi anak
cenderung bergerak menuju rata-rata tinggi populasi secara keseluruhan. Dengan kata
lain, ketinggian anak yang amat tinggi atau orang tua yang amat pendek cenderung
bergerak kearah rata-rata tinggi populasi. Inilah yang disebut hokum Golton mengenai
regresi universal. Dalam bahasa galton, ia menyebutkan sebagai regresi menuju
mediokritas.
12

DOID FINANCIAL REPORT

Correlations

Correlations
X
X

Pearson Correlation

Y
1

Sig. (2-tailed)

,509

N
Y

-,110

38

Pearson Correlation
Sig. (2-tailed)

38

-,110

1

,509

N

38

38

** correlation is significant at the 0.01 level (2-tailed)
>0 – 0.25 : korelasi lemah / tidak ada korelasi.
1. Dari hasil output SPSS terlihat bahwa terdapat koefisien korelasi antara X1 dengan
Y sebesar -0,110.
2. Nilai ini dapat disimpulkan berdasarkan nilai sig (2-tailed) yang ada dibawah nilai
korelasi
3. Bila nilai sig ini kecil dari 0,05, maka nilai korelasi tersebut berarti/signifikan dan
sebaliknya.

Bentuk Penilaian Korelasi :
0 – 0,25 ; korelasi sangat lemah ( dianggap tidak ada )
>0,25 – 0,5 korelasi cukup
> 0,5 – 0,75 korelasi kuat
>0,75 – 1 korelasi sangat kuat.

Untuk significant Hubungan dua variabel di analis dengan ketentuan sbb:
13

DOID FINANCIAL REPORT

o Jika probabilitas < 0,05 maka hubungan kedua variabel significant.
o Jika probabilitas > 0,05 maka hubungan kedua variabel tidak significant.
BAB IV
PENUTUP
Kesimpulan
Dari uraian diatas dapat disimpulkan bahwa, aplikasi SPSS adalah program aplikasi
bisnis yang berguna untuk menganalisa data statistik. Komponen-komponen yang ada
didalam distribusi data frekuensi diantaranya adalah, mean, median, modus dan standar
deviasi. Langkah-langkah yang digunakan dalam menentukan banyaknya interval atau
kelas(k) yaitu dengan menggunakan rumus k = 1 + 3,3 log n. Sedangkan untuk
menentukan panjang kelas (c) rumus yang digunakan adalah c = Jangkauan /
Banyaknya kelas interval atau c = J / k.
14

DOID FINANCIAL REPORT

DAFTAR PUSTAKA

1. http://info-program-komputer.blogspot.com/2012/07/spss.html
2. http://agusnurli.wordpress.com/2007/07/08/mengingat-kembali-statistikmean-modus-median/
3. http://exponensial.wordpress.com/tag/standar-deviasi/
4. http://www.chikolah.web.id/2011/09/langkah-langkah-membuat-tabel.html
5. http://robby01343.wordpress.com/2010/04/14/formulasi-excel-standardeviasi/
6. Historical stock data Yahoo Finance
7. Sarwono, Jonathan.(2006) ANALISIS DATA PENELITIAN SPSS 13.
Yogyakarta : C.V Andi Offest.
8. Santosa , Singgih. (2002). Buku Latihan SPSS Statistik Multivariat. Jakarta :
PT ELEX MEDIA KOMPUTINDO.
9. SPSS. (2005). SPSS Versi 22. World Wide Web : http://www.spss.com.

*********

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PT Delta Dunia Makmur Finance

  • 1. 2013 KEVIN FEBRIANTO 2012100245 [DOID FINANCIAL REPORT] PT Delta Dunia Makmur Tbk (DOID), which formely known as PT. Delta Dunia Petroindo Tbk, is holding company with an investment focus on mining services. DOID was established in 1991 and initially engaged in a variety of businesses including real estate development, textile manufacturing and exporting. Its shares delisted on the Indonesia Stock Exchange since June2001. In November2009 following a shift of investment strategy, DOID acquired 100% shares of PT Bukit Makmur Mandiri Utama (BUMA).
  • 2. 1 DOID FINANCIAL REPORT DAFTAR ISI BAB I (PENDAHULUAN) COMPANY PROFILE OF PT DELTA DUNIA MAKMUR...................... 2 STRUCTURE OF PT DELTA DUNIA MAKMUR ................................... 3 BUMA COMPANY .................................................................................... 4 BAB II DATA HARGA SAHAM DAN GRAFIK .................................................. 6 DIAGRAM BATANG ................................................................................ 7 DIAGRAM GRAFIK .................................................................................. 8 BAB III TEORI DAN ANALIS ............................................................................... 9 REGRESI .................................................................................................... 10 KORELASI ................................................................................................ 12 BAB IV PENUTUP ................................................................................................... 13 DAFTAR PUSTAKA .................................................................................. 14
  • 3. 2 DOID FINANCIAL REPORT PT DELTA DUNIA MAKMUR ,TBK HISTORICAL FINANCE BAB I PENDAHULUAN COMPANY INFORMATION Full name Delta Dunia Makmur Tbk, PT Headquarters 28/F Cyber 2 Tower Jl HR Rasuna Said Blok X-5 No 13; Jakarta; Jakarta; 12950 Status: Listed Legal Form: Public Limited Company Operational Status: Operational ISIN CODE : ID1000110505 Financial Auditors: Tjiendradjaja & Handoko Tomo (2011) Incorporation Date: November 26, 1990 Total Employees: 10,677 Tel: (62 21) 29021352 About Delta Dunia PT Delta Dunia Makmur Tbk. Is a holding company with an investment focus on mining services. Through its wholly owned subsidiary, PT Bukit Makmur Mandiri Utama (BUMA), Delta Dunia Makmur is now the largest pure play mining contractor listed on the Indonesian Stock Exchange. BUMA is the second largest coal mining contractor in Indonesia, providing mining services under long-term operating agreements with some of Indonesia’s largest coal producers, such as PT Berau Coal, PT Adaro Indonesia, PT Kideco Jaya Agung and certain subsidiaries of PT Bayan Resources. BUMA’s full range of coal mining services include mining infrastructure development and construction, land clearing, removal of top soil, drilling and blasting, overburden removal, coal mining, hauling, reclamation and rehabilitation of mine sites.
  • 4. 3 DOID FINANCIAL REPORT Company Structure (1) Northstar Tambang Persada Ltd., a consortium of investors consisting of affiliates/nominated investment vehicles of TPG Capital, Government of Singapore Investment Corporation Pte Ltd, China Investment Corporation and Northstar Equity Partners. (2) Less one share as required by Indonesian regulations Corporate Portfolio BUMA, which is our primary operating asset, is one of the largest coal mining services contractors in Indonesia, based on production volumes. Established in 1998, BUMA provides open-pit coal mining and mine operation services under long-term operating agreements to coal producers which have been granted coal mining concessions within Indonesia. Our operations are concentrated in East, South and Central Kalimantan, where the majority of Indonesian coal reserves are located. Our customers include PT Berau Coal, PT Adaro Indonesia, PT Kideco Jaya Agung and certain subsidiaries of PT Bayan Resources.
  • 5. 4 DOID FINANCIAL REPORT BUMA (PT Bukit Makmur Mandiri Utama) Established in 1998, BUMA provides services to Indonesian coal producers across all production stages, including geology and planning, overburden removal, coal mining, coal hauling and reclamation and rehabilitation. Indonesia has grown to be the world’s largest supplier of seaborne thermal coal. Going forward, we believe Indonesia will maintain its position as the largest coal exporter due to its significant reserves and resources of coal, a low-cost exploration and mining environment, the scalability of infrastructure, and lower freight costs and shorter delivery lead times given its proximity to those markets that will drive growth – China, India and other key Asian importers. We believe that significant majority of Indonesia’s coal production is outsourced to mining services contractors like us. This, combined with robust demand of coal creates huge opportunities for growth. We believe BUMA is well positioned to capture the opportunities given our reputation for being one of Indonesia’s most reliable and efficient mining services contractors with strong performance track record for meeting contracted production targets and coal delivery obligations as well as proven track record of management team. We typically enter into long-term operating agreements with coal concession holders, usually within three to 10 years of the date of the agreement. As of December 31, 2010, we provide coal mining services to nine Indonesian coal producers with respect to 11 coal concessions held by them under 15 long-term operating agreements. TUJUAN PENULISAN Tujuan penulisan ini sangat bermanfaat bagi mahasiswa untuk mampu mengelola , menampilkan dan menyajikan sesuatu data menjadi suatu informasi dan menganalisis sebab akibat demi mengetahui kelemahan dan kelebihan dari pergeakan suatu perusahaan yang kita tangani. Selain itu dengan metodelogi pengelolaan data atau software yang kita pergunakan, menambah skill serta pengetahuan mahasiswa dalam mengoprasikan SPSS dan mengambil kesimpulan dari data yang telah di sajikan oleh SPSS.
  • 6. 5 DOID FINANCIAL REPORT BAB II DATA PROBABILITAS Prices Date Close (X) Volume (Y) Sep 30, 2013 89 18646000 Sep 27, 2013 94 18286000 Sep 26, 2013 95 25033500 Sep 25, 2013 94 48841500 Sep 24, 2013 97 187927000 Sep 23, 2013 99 76707000 Sep 20, 2013 95 60852000 Sep 19, 2013 101 64900000 Sep 18, 2013 102 213252000 Sep 17, 2013 95 18013500 Sep 16, 2013 95 24590000 Sep 13, 2013 92 2961500 Sep 12, 2013 93 9184500 Sep 11, 2013 93 17438000 Sep 10, 2013 94 17258500 Sep 9, 2013 97 8434000 Sep 6, 2013 97 4726500 Sep 5, 2013 98 25498000 Sep 4, 2013 99 100368000 Sep 3, 2013 101 54190500 Sep 2, 2013 91 3488500 Aug 30, 2013 92 3200000 Aug 29, 2013 90 4010000 Aug 28, 2013 90 7220000 Aug 27, 2013 89 24884000 Aug 26, 2013 99 18761500 Aug 23, 2013 95 10206500 Aug 22, 2013 94 16738000 Aug 21, 2013 98 4961000 Aug 20, 2013 99 17396000 Aug 19, 2013 107 2250500 Aug 16, 2013 116 1854000 Aug 15, 2013 118 4212000
  • 7. 6 DOID FINANCIAL REPORT Aug 14, 2013 118 2363500 Aug 13, 2013 119 795 Aug 12, 2013 120 1679000 Aug 2, 2013 115 3436000 Aug 1, 2013 116 1284500 DAFTAR HARGA SAHAM DAN GRAFIK Prices Date Close (X) Volume (Y) XY X² Y² Sep 30, 2013 89 18646000 Sep 27, 2013 94 18286000 Sep 26, 2013 95 25033500 Sep 25, 2013 94 48841500 Sep 24, 2013 97 187927000 Sep 23, 2013 99 76707000 Sep 20, 2013 95 60852000 Sep 19, 2013 101 64900000 Sep 18, 2013 102 213252000 Sep 17, 2013 95 18013500 Sep 16, 2013 95 24590000 Sep 13, 2013 92 2961500 Sep 12, 2013 93 9184500 Sep 11, 2013 93 17438000 Sep 10, 2013 94 17258500 Sep 9, 2013 97 8434000 Sep 6, 2013 97 4726500 Sep 5, 2013 98 25498000 Sep 4, 2013 99 100368000 Sep 3, 2013 101 54190500 Sep 2, 2013 91 3488500 Aug 30, 2013 92 3200000 Aug 29, 2013 90 4010000 Aug 28, 2013 90 7220000 Aug 27, 2013 89 24884000 Aug 26, 2013 99 18761500 Aug 23, 2013 95 10206500 Aug 22, 2013 94 16738000 1659494000 1718884000 2378182500 4591101000 18228919000 7593993000 5780940000 6554900000 21751704000 1711282500 2336050000 272458000 854158500 1621734000 1622299000 818098000 458470500 2498804000 9936432000 5473240500 317453500 294400000 360900000 649800000 2214676000 1857388500 969617500 1573372000 7921 8836 9025 8836 9409 9801 9025 10201 10404 9025 9025 8464 8649 8649 8836 9409 9409 9604 9801 10201 8281 8464 8100 8100 7921 9801 9025 8836 3,47673E+14 3,34378E+14 6,26676E+14 2,38549E+15 3,53166E+16 5,88396E+15 3,70297E+15 4,21201E+15 4,54764E+16 3,24486E+14 6,04668E+14 8,77048E+12 8,4355E+13 3,04084E+14 2,97856E+14 7,11324E+13 2,23398E+13 6,50148E+14 1,00737E+16 2,93661E+15 1,21696E+13 1,024E+13 1,60801E+13 5,21284E+13 6,19213E+14 3,51994E+14 1,04173E+14 2,80161E+14
  • 8. DOID FINANCIAL REPORT Aug 21, 2013 98 Aug 20, 2013 99 17396000 Aug 19, 2013 107 2250500 Aug 16, 2013 116 1854000 Aug 15, 2013 118 4212000 Aug 14, 2013 118 2363500 Aug 13, 2013 119 795 Aug 12, 2013 120 1679000 Aug 2, 2013 115 3436000 Aug 1, 2013 116 486178000 1722204000 240803500 215064000 497016000 278893000 94605 201480000 395140000 149002000 4961000 1284500 9604 9801 11449 13456 13924 13924 14161 14400 13225 13456 2,46115E+13 3,02621E+14 5,06475E+12 3,43732E+12 1,77409E+13 5,58613E+12 632025 2,81904E+12 1,18061E+13 1,64994E+12 * Close price adjusted for dividends and splits. DIAGRAM BATANG PT DELTA DUNIA MAKMUR , TBK Close (X) Aug 2, 2013 Aug 13, 2013 Aug 15, 2013 Aug 19, 2013 Aug 21, 2013 Aug 23, 2013 Aug 27, 2013 Aug 29, 2013 Sep 2, 2013 Sep 4, 2013 Sep 6, 2013 Sep 10, 2013 Sep 12, 2013 Close (X) Sep 16, 2013 Sep 20, 2013 Sep 18, 2013 120 100 80 60 40 20 0 Sep 30, 2013 Sep 26, 2013 Sep 24, 2013 7
  • 9. 8 DOID FINANCIAL REPORT DIAGRAM LINE PT DELTA DUNIA MAKMUR , TBK Close (X) 140 120 100 80 Close (X) 60 40 20 0 Sep 30, 20132013201320132013201320132013 4, 20132013 2013201320132013201320132013 Sep 26, 24, 20, 18, 16, 12, 10, 6, 2013 2, 29, 27, 23, 21, 19, 15, 13, 2, 2013 Sep Sep Sep Sep Sep Sep Sep Sep Sep Aug Aug Aug Aug Aug Aug Aug Aug
  • 10. 9 DOID FINANCIAL REPORT BAB III TEORI DAN ANALISIS I. REGRESI Analisis regresi dalam statistika adalah salah satu metode untuk menentukan hubungan sebab-akibat antara satu variabel dengan variabel(-variabel) yang lain. Variabel "penyebab" disebut dengan bermacam-macam istilah: variabel penjelas, variabel eksplanatorik, variabel independen, atau secara bebas, variabel X (karena seringkali digambarkan dalam grafik sebagai absis, atau sumbu X). Variabel terkena akibat dikenal sebagai variabel yang dipengaruhi, variabel dependen, variabel terikat, atau variabel Y. Kedua variabel ini dapat merupakan variabel acak (random), namun variabel yang dipengaruhi harus selalu variabel acak. Analisis regresi adalah salah satu analisis yang paling populer dan luas pemakaiannya. Analisis regresi dipakai secara luas untuk melakukan prediksi dan ramalan, dengan penggunaan yang saling melengkapi dengan bidang pembelajaran mesin. Analisis ini juga digunakan untuk memahami variabel bebas mana saja yang berhubungan dengan variabel terikat, dan untuk mengetahui bentuk-bentuk hubungan tersebut. Regression Variables Entered/Removed a Variables Model Variables Entered 1 X b a. Dependent Variable: Y b. All requested variables entered. Removed Method . Enter
  • 11. 10 DOID FINANCIAL REPORT Model Summary Adjusted R Model R 1 Std. Error of the Square Estimate R Square ,110 a ,012 -,015 47485002,10538 a. Predictors: (Constant), X a ANOVA Model 1 Sum of Squares Regression df 10029909469411 1 72,000 Residual 81173715298140 36 832,000 Total Mean Square 82176706245081 F 10029909469411 72,000 Sig. ,445 ,509 b 22548254249483 56,000 37 984,000 a. Dependent Variable: Y b. Predictors: (Constant), X Coefficients a Standardized Unstandardized Coefficients Model 1 B (Constant) X Std. Error 84930736,834 832578,075 Beta t 83307966,193 -555286,372 Coefficients Sig. 1,019 -,110 ,315 -,667 ,509 a. Dependent Variable: Y Rumus Persamaan regresi adalah Y’ = a + bX Hasil analisis regresi adalah berupa koefisien regresi untuk masing-masing variable independent. Koefisien ini diperoleh dengan cara memprediksi nilai variable dependen dengan suatu persamaan. Koefisien regresi dihitung dengan dua tujuan sekaligus : Pertama, meminimumkan penyimpangan antara nilai actual dan nilai estimasi variable dependen; Kedua, mengoptimalkan korelasi antara nilai actual dan nilai estimasi
  • 12. 11 DOID FINANCIAL REPORT variable dependen berdasarkan data yang ada. Teknik estimasi variable dependen yang melandasi analisis regresi disebut Ordinary Least Squares (pangkat kuadrat terkecil biasa). II. KORELASI Dalam teori probabilitas dan statistika, korelasi, juga disebut koefisien korelasi, adalah nilaiyang menunjukkan kekuatan dan arah hubungan linier antara dua peubah acak (random variable). Istilah regresi pertama kali diperkenalkan oleh Sir Francis Galton pada tahun 1886. Galton menemukan adanya tendensi bahwa orang tua yang memiliki tubuh tinggi memiliki anak-anak yang tinggi, orang tua yang pendek memiliki anak-anak yang pendek pula. Kendati demikian. Ia mengamati bahwa ada kecenderungan tinggi anak cenderung bergerak menuju rata-rata tinggi populasi secara keseluruhan. Dengan kata lain, ketinggian anak yang amat tinggi atau orang tua yang amat pendek cenderung bergerak kearah rata-rata tinggi populasi. Inilah yang disebut hokum Golton mengenai regresi universal. Dalam bahasa galton, ia menyebutkan sebagai regresi menuju mediokritas.
  • 13. 12 DOID FINANCIAL REPORT Correlations Correlations X X Pearson Correlation Y 1 Sig. (2-tailed) ,509 N Y -,110 38 Pearson Correlation Sig. (2-tailed) 38 -,110 1 ,509 N 38 38 ** correlation is significant at the 0.01 level (2-tailed) >0 – 0.25 : korelasi lemah / tidak ada korelasi. 1. Dari hasil output SPSS terlihat bahwa terdapat koefisien korelasi antara X1 dengan Y sebesar -0,110. 2. Nilai ini dapat disimpulkan berdasarkan nilai sig (2-tailed) yang ada dibawah nilai korelasi 3. Bila nilai sig ini kecil dari 0,05, maka nilai korelasi tersebut berarti/signifikan dan sebaliknya. Bentuk Penilaian Korelasi : 0 – 0,25 ; korelasi sangat lemah ( dianggap tidak ada ) >0,25 – 0,5 korelasi cukup > 0,5 – 0,75 korelasi kuat >0,75 – 1 korelasi sangat kuat. Untuk significant Hubungan dua variabel di analis dengan ketentuan sbb:
  • 14. 13 DOID FINANCIAL REPORT o Jika probabilitas < 0,05 maka hubungan kedua variabel significant. o Jika probabilitas > 0,05 maka hubungan kedua variabel tidak significant. BAB IV PENUTUP Kesimpulan Dari uraian diatas dapat disimpulkan bahwa, aplikasi SPSS adalah program aplikasi bisnis yang berguna untuk menganalisa data statistik. Komponen-komponen yang ada didalam distribusi data frekuensi diantaranya adalah, mean, median, modus dan standar deviasi. Langkah-langkah yang digunakan dalam menentukan banyaknya interval atau kelas(k) yaitu dengan menggunakan rumus k = 1 + 3,3 log n. Sedangkan untuk menentukan panjang kelas (c) rumus yang digunakan adalah c = Jangkauan / Banyaknya kelas interval atau c = J / k.
  • 15. 14 DOID FINANCIAL REPORT DAFTAR PUSTAKA 1. http://info-program-komputer.blogspot.com/2012/07/spss.html 2. http://agusnurli.wordpress.com/2007/07/08/mengingat-kembali-statistikmean-modus-median/ 3. http://exponensial.wordpress.com/tag/standar-deviasi/ 4. http://www.chikolah.web.id/2011/09/langkah-langkah-membuat-tabel.html 5. http://robby01343.wordpress.com/2010/04/14/formulasi-excel-standardeviasi/ 6. Historical stock data Yahoo Finance 7. Sarwono, Jonathan.(2006) ANALISIS DATA PENELITIAN SPSS 13. Yogyakarta : C.V Andi Offest. 8. Santosa , Singgih. (2002). Buku Latihan SPSS Statistik Multivariat. Jakarta : PT ELEX MEDIA KOMPUTINDO. 9. SPSS. (2005). SPSS Versi 22. World Wide Web : http://www.spss.com. *********