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International Journal of Horticulture, Agriculture and Food Science (IJHAF)
ISSN: 2456-8635
[Vol-7, Issue-5, Sep-Oct, 2023]
Issue DOI: https://dx.doi.org/10.22161/ijhaf.7.5
Peer-Reviewed Journal
Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.)
https://aipublications.com/ijhaf/ Page | 10
A Consumer Preferences in Culinary Tourism Fresh Tuna
Fish Chest and Jaw Bones Case Study in Manado City,
North Sulawesi Province
Florence Verra Longdong1
, Reiny Antonetha Tumbol2
, Djuwita R.R. Aling3
1,3
Department of Fisheries Agribusiness, Faculty of Fisheries and Marine Sciences, Sam Ratulangi University, Manado. Indonesia
2
Department of Aquaculture, Faculty of Fisheries and Marine Sciences, Sam Ratulangi University Manado. Indonesia
Email correspondent: florencevera88@unsrat.ac.id
Received: 20 Aug 2023; Received in revised form: 20 Sep 2023; Accepted: 03 Oct 2023; Available online: 14 Oct 2023
©2023 The Author(s). Published by AI Publications. This is an open access article under the CC BY license
(https://creativecommons.org/licenses/by/4.0/)
Abstract— The fishery products produced are not necessarily only for export purposes but are intended for
national consumption. This research aims to analyze consumer preferences for processed fresh tuna
products, namely the breast and jaw portions of tuna and identify consumer attitudes towards their choice
of processed fresh tuna. The data in this research are primary data and secondary data. The sampling
technique is based on purposive sampling and accidental sampling. Quantitative descriptive data analysis
was carried out to analyze consumer attitude preferences. Based on the results of data processing between
the menu attributes of tuna jaws and breasts, it turns out that consumers prefer tuna jaws compared to tuna
breasts, the reason most likely lies in the sensation they get when eating tuna jaws. Even if asked about
taste, both are equally tasty. The results obtained in this research show consumer preferences for tuna jaw
and breast products on the food menu. Respondents preferred the processed Tuna Jaw menu where a utility
(positive) value was obtained of 0.470 compared to the Tuna Breast menu with a utility (negative) of -
0.470. In food variants, respondents preferred processed Burn Rica where the utility value was obtained at
3,690 compared to Woku at -0.642 and gravy at only -3,048. In the food price variable, respondents prefer
food at a price of 50 thousand, where the utility value is 0.873 compared to the price of 45 thousand, the
utility is 0.617, whereas at the price of 40 thousand it is only -0.995, and at the price of 60 thousand the
utility value is -0.495, both of which are negative. The conclusion of this research is that consumer
preferences for processed fresh tuna jaw and tuna breast fish products show that consumers prefer the
processed Jaw Tuna menu where a utility value (positive) is obtained of 0.470 compared to the Tuna
Breast menu with a utility (negative) of -0.470 .
Keywords— Preferences, consumers, culinary tourism, tuna fish
I. INTRODUCTION
Manado City is an area of North Sulawesi Province, which
consists of 11 sub-districts and 87 sub-districts, located on
the main mainland of the island of Sulawesi and has one
sub-district in the form of an archipelago. Has an area of
157.26 km2, to the north it borders North Minahasa
Regency; to the east it borders North Minahasa Regency
and Minahasa Regency; to the south it borders Minahasa
Regency and to the west it borders the Sulawesi Sea (BPS
Manado City, 2022).
Based on 2021 KKP statistics, it is recorded that fish
consumption in North Sulawesi Province from 2017 to
2019 has increased, where fish consumption in 2017 was
60.24, in 2018 it rose to 62.63 and in 2019 it became
66.75. , in 2020 it was 66.82 and in 2021 it increased to
67.28 kg/capita/year (KKP, 2021). The development of
culinary centers in an area is closely related to the increase
in tourism in that area. Culinary centers cannot be
separated from the variety of food menus they sell. Fishery
products are known to be so complete that they provide
Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF)
7(5)-2023
Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.)
https://aipublications.com/ijhaf/ Page | 11
their own color as an attraction for tourists, whether they
come from fishing production or cultivation production,
both from freshwater and seawater fish.
Restaurants or small snack stalls offering "tuna jaw" and
"tuna breast" products have brightened the culinary
business trend in Manado City since the 2000s until now.
According to unwritten information, this product was
initially only used as a raw material for fish meal because
the two parts of tuna apart from the bones and head were
discarded/set aside not for export products. It started with a
small kiosk that specifically sold menus/products and then
expanded to a large restaurant that provided various types
of food and processed foods.
Consumer preference is defined as a person's choice of
liking or disliking a product or service being consumed
(Enrida et al., 2016). According to Zikhri (2016),
consumer preferences show consumers' preferences for
several product choices available.
Research conducted by Triyana A (2010) states that
preferences are formed in consumers based on the
attributes of price, size and freshness. This turns out to be
very dependent on the efficiency of a distribution channel
that produces catches.
According to Gazali (2016) who researched consumer
preferences for marine products, it shows that the
attributes that have a real influence on consumer attitudes
in choosing fish products are product quality and diversity.
Price as an attribute can be interpreted as meaning that
price is a diversity concept that has different meanings for
consumers depending on consumer characteristics,
situations and products.
Considering that fishery commodities have unique
characteristics, namely perishable, non-uniform, seasonal,
producer areas are generally on the coast and have larger
and cooler spaces for storage, marketing of fishery
products in general has the potential to be inefficient
(Abidin, 2015) Therefore, it is very It is important to pay
attention to the correct distribution pattern, which
according to Kotler, P. & Keller, K.L. (2012), distribution
is a process of delivering finished goods from producers to
consumers when needed. A distribution pattern that is still
standard but right on target is formed in the marketing
distribution of large pelagic fish including tuna in Bitung
City to the surrounding areas (Longdong, et al 2021)
II. RESEARCH METHODS
Data Collection Method
The data in this research are primary data and secondary
data. Primary data was obtained through interviews with a
questionnaire guide which was distributed to 40 consumers
who were at the restaurant they met. A total of 10
restaurants were determined as samples from ±100
restaurants spread across the city of Manado. Meanwhile,
secondary data as supporting data was obtained through
Manado City government agencies. The method used was
a survey by visiting restaurants that specifically provide
menus with tuna jaw and breast products.
Data collection technique
The sampling technique is based on purposive sampling
and accidental sampling. The sample is consumers and the
variables used are menu, price and cooking variants as
independent variables and purchasing decisions are the
dependent variable. This research carried out a
multivariate analysis, so in sampling, 40 respondents were
sampled at 10 restaurants that specifically served jaw
menus and tuna data. There are 16 combinations, each
respondent fills in a ranking according to their interest in
the variants, menus and prices. The highest choice was 16
and the lowest was 1. The purposive sampling method was
applied to determine the restaurant, while the accidental
sampling method was used to determine respondents,
namely consumers found at the restaurant.
Data Analysis
Qualitative descriptive data analysis was carried out
simultaneously with data collection, data interpretation and
writing narrative reports. Quantitative descriptive data
analysis was carried out to analyze consumer attitude
preferences. This research uses non-metric data using
Conjoint Analysis with the SPSS program.
III. RESULTS AND DISCUSSION
2.4 Research Results
There are 300 tuna restaurants in the city of Manado (BPS
Manado, 2022) and approximately 50 restaurants serve
tuna jaw and breast variants and menus. A number of these
restaurants are located along the coast of boulevard 1 and
boulevard 2, Singkil sub-district and Authority sub-district
and there are several located in Tikala sub-district.
The city of Manado has long been known as a culinary
tourism destination specifically for sea fish. For almost ±
25 years, the city of Manado has been characterized by the
culinary business, this is of course greatly supported by the
availability of sufficient raw materials. This is proven by
the large number of tourist visits and national activities
which make the city of Manado a place for activities for
both government and private agencies. One strong reason
is the availability of various restaurants that serve seafood
menus, both demersal and pelagic fish. This fish is offered
in fresh frozen form, which is then processed with various
menus typical of the city of Manado. BPS Manado 2022,
Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF)
7(5)-2023
Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.)
https://aipublications.com/ijhaf/ Page | 12
recorded that there are 604 restaurants in the city of
Manado. This number is the highest number since 2015
(BPS Manado, 2017)20 which then decreased drastically
due to the Covid-19 pandemic. However, now it is starting
to grow again with the emergence of restaurants that serve
the same menu and variants.
The availability of raw materials for tuna jaws and breasts
is obtained from processing factories in the city of Bitung.
The distribution of raw materials follows the distribution
pattern that applies to the distribution of pelagic fish in
Bitung City, the involvement of intermediary traders is as
a supplier of raw materials to restaurants in Manado City
(Longdong, et al. 2021). A total of 7 restaurants out of 10
samples obtained raw materials from intermediary traders,
the remaining 3 restaurants obtained them from retailers in
traditional markets.
Based on the results of data processing using the IBM
SPSS software menu, between the menu attributes of tuna
jaws and breasts, it turns out that consumers prefer tuna
jaws compared to tuna breasts, the reason most likely lies
in the sensation they get when eating tuna jaws. Even if
asked about taste, both are equally tasty. The following are
the results of an analysis of consumer choices regarding
the menu, variants and prices offered.
Conjoint Analysis
At this stage, you choose the most preferred scenario
(hypothesis). This scenario describes all possible
configurations of reasons for choosing the attributes of
processed fresh tuna. The number of scenarios is
influenced by the number of variables/factors and variable
levels (attributes). There are 3 variables and each
variable/factor has 2, 3 and 4 attributes (menu, variant and
price) so that we can create 3 scenarios of reasons that are
different from one another (by multiplying the number of
attributes by each variable/ factors to obtain 2x3x4 = 24
scenarios). The scenario results were 24 combinations of
attributes, so respondents of course had difficulty
evaluating the many reasons for choosing their attributes.
The solution is to utilize orthogonal design techniques.
This design functions to reduce the number of attribute
combinations to a number that is easier to control, namely
16 attribute combination designs.
In the orthogonal design results table, 16 preference
scenarios for selecting the attributes of processed fresh
tuna are obtained as follows:
1) Card 1: Tuna Jaw Menu, Soup Variant, Price 50
thousand.
2) Card 2: Tuna Jaw Menu, Grilled Rica, Price 60
thousand.
3) Card 3: Tuna Breast, Sauce Variant, Price 45 thousand.
4) Card 4: Tuna Jaw Menu, Grilled Rica, Price 45
thousand.
5) Card 5: Tuna Jaw Menu, Grilled Rica, Price 40
thousand
6) Card 6: Tuna Breast, Sauce Variant, Price 60 thousand.
7) Card 7: Tuna Jaw Menu, Grilled Rica, Price 50
thousand
8) Card 8: Tuna Jaw Menu, Woku Variant, Price 60
thousand
9) Card 9: Tuna Breast, Woku Variant, Price 40 thousand.
10) Card 10: Tuna Jaw Menu, Soup Variant, Price 40
thousand.
11) Card 11: Tuna Breast, Grilled Rica, Price 45 thousand.
12) Card 12: Tuna Breast, Woku Variant, Price 50
thousand.
13) Card 13: Tuna Breast, Grilled Rica, Price 50 thousand.
14) Card 14: Tuna Breast, Grilled Rica, Price 60 thousand.
15) Card 15: Tuna Jaw Menu, Woku Variant, Price 45
thousand.
16) Card 16: Tuna Breast, Grilled Rica, Price 40 thousand.
The next stage is to present a hypothetical scenario that has
been selected by 40 respondents. Scenario preferences in
the questionnaire are expressed using discrete choices. The
use of discrete models is done because it is closer to
realistic decision making. The results of the importance
values for each respondent are presented in the table
below.
Table.1 Importance value for each respondent
Respondent Importance Value Respondent Importance Value
Respondent 1 Variant 64,706 Respondent 21 Variant 75,281
Respondent 2 Variant 61,905 Respondent 22 Variant 62,295
Respondent 3 Variant 53,933 Respondent 23 Variant 71,875
Respondent 4 Variant 69,565 Respondent 24 Variant 85,185
Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF)
7(5)-2023
Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.)
https://aipublications.com/ijhaf/ Page | 13
Respondent 5 Variant 57,265 Respondent 25 Variant 46,667
Respondent 6 Variant 60,606 Respondent 26 Variant 54,237
Respondent 7 Variant 55,556 Respondent 27 Variant 80,000
Respondent 8 Variant 50,980 Respondent 28 Variant 58,000
Respondent 9 Variant 57,895 Respondent 29 Variant 60,345
Respondent 10 Variant 42,553 Respondent 30 Variant 47,059
Respondent 11 Variant 58,491 Respondent 31 Variant 51,456
Respondent 12 Variant 59,016 Respondent 32 Variant 56,122
Respondent 13 Variant 70,909 Respondent 33 Variant 50,575
Respondent 14 Variant 65,217 Respondent 34 Variant 52,941
Respondent 15 Variant 70,642 Respondent 35 Variant 61,404
Respondent 16 Variant 77,966 Respondent 36 Variant 70,909
Respondent 17 Variant 45,833 Respondent 37 Variant 68,293
Respondent 18 Variant 77,778 Respondent 38 Variant 63,107
Respondent 19 Variant 57,522 Respondent 39 Variant 47,059
Respondent 20 Variant 58,491 Respondent 40 Variant 55,556
Table 1 above shows that respondent 1 has a high
preference for processed tuna fish variants compared to the
Menu and Price variables. High preference is shown by the
importance value of 64,706. Of the 40 respondents, 36
respondents preferred the processed tuna fish variant
variable, while 4 respondents had a high preference for the
price of processed tuna fish.
The results of each respondent's preferences for the
attributes of processed tuna fish menus can be seen from
the complete utility estimate values presented in the table 2
below.
Table. 2 Utility Attributes of each respondent
Respondent Menu
Utility
Estimate
Variant
Utility
Estimate
Price
Utility
Estimate
Respondent 1 Tuna Jaws ,250 Burn Rica 3,167 50 ribu 1,750
Respondent 2 Tuna Jaws ,750 Burn Rica 4,500 45 ribu 1,000
Respondent 3 Tuna Jaws 1,250 Burn Rica 1,167 50 ribu 3,250
Respondent 4 Tuna breast 1,000 Burn Rica 4,333 50 ribu ,500
Respondent 5 Tuna breast 1,500 Burn Rica 4,500 60 ribu 1,250
Respondent 6 Tuna Jaws ,188 Burn Rica 4,583 60 ribu 1,688
Respondent 7 Tuna Jaws 1,125 Burn Rica 3,500 45 ribu 1,250
Respondent 8 Tuna Jaws ,500 Burn Rica 4,333 45 ribu 1,750
Respondent 9 Tuna breast 1,250 Burn Rica 4,667 50 ribu 1,500
Respondent 10 Tuna breast 1,250 Burn Rica 3,000 45 ribu 3,000
Respondent 11 Tuna Jaws 1,000 Burn Rica 4,667 45 ribu 2,250
Respondent 12 Tuna Jaws ,875 Burn Rica 5,333 60 ribu 2,250
Respondent 13 Tuna Jaws 1,000 Burn Rica 5,000 50 ribu 1,250
Respondent 14 Tuna Jaws ,625 Burn Rica 4,667 60 ribu 1,500
Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF)
7(5)-2023
Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.)
https://aipublications.com/ijhaf/ Page | 14
Respondent Menu
Utility
Estimate
Variant
Utility
Estimate
Price
Utility
Estimate
Respondent 15 Tuna Jaws ,875 Burn Rica 4,833 45 ribu 1,250
Respondent 16 Tuna breast ,125 Woku 5,583 40 ribu 1,500
Respondent 17 Tuna Jaws ,750 Woku 1,917 45 ribu 3,250
Respondent 18 Tuna Jaws ,500 Burn Rica 5,333 50 ribu ,500
Respondent 19 Tuna Jaws ,250 Burn Rica 3,833 50 ribu 3,250
Respondent 20 Tuna Jaws 1,625 Burn Rica 4,833 50 ribu 1,375
Respondent 21 Tuna Jaws ,750 Burn Rica 4,167 45 ribu ,750
Respondent 22 Tuna Jaws ,875 Broth 4,250 50 ribu 2,000
Respondent 23 Tuna Jaws 1,000 Woku ,125 50 ribu 2,625
Respondent 24 Tuna breast ,500 Burn Rica 3,500 45 ribu ,250
Respondent 25 Tuna Jaws 1,500 Burn Rica 3,333 45 ribu 2,250
Respondent 26 Tuna Jaws ,125 Woku 3,167 40 ribu 2,750
Respondent 27 Tuna Jaws 0,000 Burn Rica 5,333 60 ribu 1,500
Respondent 28 Tuna Jaws ,375 Burn Rica 4,333 60 ribu 1,500
Respondent 29 Tuna Jaws 1,250 Burn Rica 5,000 50 ribu 1,250
Respondent 30 Tuna Jaws 1,625 Burn Rica 4,000 50 ribu 1,500
Respondent 31 Tuna Jaws 1,125 Burn Rica 4,167 45 ribu 1,750
Respondent 32 Tuna Jaws 1,313 Burn Rica 3,250 45 ribu ,313
Respondent 33 Tuna Jaws ,062 Burn Rica 2,250 50 ribu 2,188
Respondent 34 Tuna Jaws ,625 Burn Rica 2,333 50 ribu 3,250
Respondent 35 Tuna Jaws 1,125 Burn Rica 5,000 50 ribu 1,250
Respondent 36 Tuna Jaws 1,000 Burn Rica 5,000 50 ribu 1,250
Respondent 37 Tuna Jaws ,125 Burn Rica 4,000 60 ribu 1,750
Respondent 38 Tuna Jaws 1,125 Burn Rica 2,833 50 ribu 1,000
Respondent 39 Tuna Jaws 1,625 Burn Rica 4,000 50 ribu 1,500
Respondent 40 Tuna Jaws 1,125 Burn Rica 4,167 45 ribu 2,000
Table 2 above shows that respondent 1 has a high
preference for the Jaw Tuna menu, Grilled Rica Variant
and Price 50 thousand. The utility value of respondent 1
for Menu Material is 0.250, Burn Rica 3.167 and Price of
50 thousand is 1.750. Likewise for Respondents 2 to 40
respondents can be seen in the table above.
The results of the importance values from the overall
conjoint analysis are presented in full in the table below:
Table 3. Importance Value
Menu 13.360
Variant 57.953
Price 28.687
In table 3, the Important value above this value shows the
respondent's level of importance in choosing
variables/factors in the scenario of reasons for choosing
variables on the fresh tuna processed menu. Of the 40
respondents who filled out the respondent preference
questionnaire, all of them could be processed using
conjoint analysis. Of the 3 variables/factors, namely
processed menu, variant and price, respondents had the
highest level of importance (have preferences) in the
variable/factor. Variant obtained the highest value of
57,953 compared to Price obtained a value of 28,687 and
Menu obtained a value of 13,360. This shows that the
Variant attribute is an important factor that consumers
consider when determining their food choices. The second
Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF)
7(5)-2023
Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.)
https://aipublications.com/ijhaf/ Page | 15
factor is price and the last is the menu. In graphic form, it
can be seen in the importance value graph below:
Fig.1. Graph. Importance value
After the respondent's preference for variables/factors is
known, which one has the highest preference, the next step
is to find out the respondent's preference at the attribute
level. A negative utility estimate value indicates that the
respondent does not like that attribute level. Meanwhile,
positive indicates that the respondent likes that
attribute/level. For more details, look at the utilities table
for all respondents (overall) which is presented in the table
below.
Table. 4 Attribute Utilities
Utility Estimate Std. Error
Menu
Tuna breast -.470 .404
Tuna Jaws .470 .404
Varian
Burn Rica 3.690 .539
Woku -.642 .632
Broth -3.048 .632
Price
40 thousand -.995 .700
45 thousand .617 .700
50 thousand .873 .700
60 thousand -.495 .700
(Constant) 7.592 .426
Conjoint analysis is a method used to determine consumer
preferences for an item. In table 06. above are the results
obtained in this research which show consumer
preferences for tuna jaw and breast products as follows:
1) On the food menu, respondents prefer the processed Jaw
Tuna menu where a utility (positive) value of 0.470 is
obtained compared to the Dada Tuna menu with a utility
(negative) of -0.470.
2) In food variants, respondents preferred processed Burn
Rica where the utility value was obtained at 3,690
compared to Woku at -0.642 and gravy at only -3,048.
3) In the food price variable, respondents prefer food at a
price of 50 thousand, where the utility value is 0.873
compared to the price of 45 thousand, the utility is 0.617,
whereas at the price of 40 thousand it is only -0.995, and at
the price of 60 thousand the utility value is -0.495, both of
which are negative value.
The relationship between respondents' preferences and the
attributes of processed fresh tuna can be seen in the
Pearson's R and Kendall Tau values. In the correlations
table below, the Pearson's R value is 0.929 with a
significance of 0.000 and the Kendall's tau value is 0.750
with a significance of 0.000 (less than 0.050). These
results indicate that there is a significant relationship
between respondents' preferences and the attributes of
processed fresh tuna or simply that the multiple regression
model used is appropriate for the data analyzed. More
details can be seen in the table below.
Table. 7 Values of Person's R and Kendall's Tau
Value Sig.
Pearson's R .929 .000
Kendall's tau .750 .000
IV. CONCLUSION
1. Consumer preferences for processed fresh tuna jaw and
tuna breast fish products show that consumers prefer the
processed Jaw Tuna menu where a utility value (positive)
is obtained of 0.470 compared to the Tuna Breast menu
with a utility (negative) of -0.470.
2. Consumer preferences include food variants, consumers
prefer the Burn Rica dish where the utility value is 3,690
compared to the Woku dish of -0.642 and the soup is only
-3,048.
3. In the food price variable, consumers prefer food at a
price of 50 thousand where a utility value of 0.873 is
obtained compared to a price of 45 thousand utility of
0.617, whereas at a price of 40 thousand it is only -0.995,
and at a price of 60 thousand the utility value is -0.495,
both of which are negative value.
4. Consumer attitudes towards menu choices for processed
tuna jaws and breasts are largely determined by the menu
products, variants offered and applicable prices. This is
shown by the Pearson's R and Kendall Tau values which
show a Pearson's R value of 0.929 with a significance of
Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF)
7(5)-2023
Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.)
https://aipublications.com/ijhaf/ Page | 16
0.000 and a Kendall's Tau value of 0.750 with a
significance of 0.000 (less than 0.050).
REFERENCES
[1] BPS Kota Manado, 2022.
https://manadokota.bps.go.id/publication/2022/02/25/8aa8d3
272751dfe3f2d382fe/kota-manado-dalam-angka-2022.html
[2] KKP, 2020 Statistik KKP. Jumlah Angka Konsumsi Ikan
(AKI) https://kkp.go.id/brsdm/sosek/artikel/41211-angka-
konsumsi-ikan-per-provinsi
[3] Enrida, A., Kumadji S., dan Sunarti. (2016). Analisis
Faktor-Faktor Preferensi Pelanggan dan Pengaruhnya
Terhadap Keputusan Pembelian (Studi Terhadap Pelanggan
McDonald’s di Indonesia dan Malaysia). Jurnal
Admisnistrasi Bisnis, Vol. 30 No. 1.
[4] Zikhri, M. (2016). Analisis Preferensi Konsumen Terhadap
Atribut Susu Kedelai dan Faktor yang mempengaruhi.
Bogor Agricultural. Institut Pertanian Bogor.
[5] Triyana, A., 2010. Analisis Preferensi Konsumen terhadap
Ikan Pelagis di Muara Angke Jakarta. FPIK-Bogor
[6] Ghozali, M. 2016. Preferensi Konsumen Terhadap Produk
Hasil Laut (Studi Kasus Restoran Seafood Mjm Kota Palu,
Sulawesi Tengah). Jurnal Perikanan Tropis Available online
at: Volume 3, Nomor 1, 2016
http://utu.ac.id/index.php/jurnal.html ISSN: 2355-5564, E-
ISSN: 2355-5572
[7] Abidin, Z. 2015. Saluran Pemasaran Dan Efisiensi Biaya
Serta Pendapatan Usahatani Tembakau Terhadap Kontribusi
Pendapatan Keluarga Di Desa Bra Kulon Probolinggo.
Skripsi. Fakultas Pertanian Universitas Jember.
[8] Kotler, P. & Keller, K.L. (2012). Manajemen Pemasaran
Jilid I Edisi ke 12. Jakarta: Erlangga.
[9] Longdong F.V, Vivanda M, Chatrien S.(2021). Supply
Chain of Pelagis Catch Fisheries in the New Normal Era
Case Study of PPS Bitung Province of North Sulawesi,
Indonesia. The Internasional Journal Of Business &
Management (The IJBM) Volume 9, Issue 10 Oktober 2021.
[10]BPS Kota Manado, 2017.
https://manadokota.bps.go.id/publication/2017/08/11/38677
a0be3f6985abcebd706/kota-manado-dalam-angka-
2017.html

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Consumer Preferences for Processed Fresh Tuna Products in Manado City

  • 1. International Journal of Horticulture, Agriculture and Food Science (IJHAF) ISSN: 2456-8635 [Vol-7, Issue-5, Sep-Oct, 2023] Issue DOI: https://dx.doi.org/10.22161/ijhaf.7.5 Peer-Reviewed Journal Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.) https://aipublications.com/ijhaf/ Page | 10 A Consumer Preferences in Culinary Tourism Fresh Tuna Fish Chest and Jaw Bones Case Study in Manado City, North Sulawesi Province Florence Verra Longdong1 , Reiny Antonetha Tumbol2 , Djuwita R.R. Aling3 1,3 Department of Fisheries Agribusiness, Faculty of Fisheries and Marine Sciences, Sam Ratulangi University, Manado. Indonesia 2 Department of Aquaculture, Faculty of Fisheries and Marine Sciences, Sam Ratulangi University Manado. Indonesia Email correspondent: florencevera88@unsrat.ac.id Received: 20 Aug 2023; Received in revised form: 20 Sep 2023; Accepted: 03 Oct 2023; Available online: 14 Oct 2023 ©2023 The Author(s). Published by AI Publications. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/) Abstract— The fishery products produced are not necessarily only for export purposes but are intended for national consumption. This research aims to analyze consumer preferences for processed fresh tuna products, namely the breast and jaw portions of tuna and identify consumer attitudes towards their choice of processed fresh tuna. The data in this research are primary data and secondary data. The sampling technique is based on purposive sampling and accidental sampling. Quantitative descriptive data analysis was carried out to analyze consumer attitude preferences. Based on the results of data processing between the menu attributes of tuna jaws and breasts, it turns out that consumers prefer tuna jaws compared to tuna breasts, the reason most likely lies in the sensation they get when eating tuna jaws. Even if asked about taste, both are equally tasty. The results obtained in this research show consumer preferences for tuna jaw and breast products on the food menu. Respondents preferred the processed Tuna Jaw menu where a utility (positive) value was obtained of 0.470 compared to the Tuna Breast menu with a utility (negative) of - 0.470. In food variants, respondents preferred processed Burn Rica where the utility value was obtained at 3,690 compared to Woku at -0.642 and gravy at only -3,048. In the food price variable, respondents prefer food at a price of 50 thousand, where the utility value is 0.873 compared to the price of 45 thousand, the utility is 0.617, whereas at the price of 40 thousand it is only -0.995, and at the price of 60 thousand the utility value is -0.495, both of which are negative. The conclusion of this research is that consumer preferences for processed fresh tuna jaw and tuna breast fish products show that consumers prefer the processed Jaw Tuna menu where a utility value (positive) is obtained of 0.470 compared to the Tuna Breast menu with a utility (negative) of -0.470 . Keywords— Preferences, consumers, culinary tourism, tuna fish I. INTRODUCTION Manado City is an area of North Sulawesi Province, which consists of 11 sub-districts and 87 sub-districts, located on the main mainland of the island of Sulawesi and has one sub-district in the form of an archipelago. Has an area of 157.26 km2, to the north it borders North Minahasa Regency; to the east it borders North Minahasa Regency and Minahasa Regency; to the south it borders Minahasa Regency and to the west it borders the Sulawesi Sea (BPS Manado City, 2022). Based on 2021 KKP statistics, it is recorded that fish consumption in North Sulawesi Province from 2017 to 2019 has increased, where fish consumption in 2017 was 60.24, in 2018 it rose to 62.63 and in 2019 it became 66.75. , in 2020 it was 66.82 and in 2021 it increased to 67.28 kg/capita/year (KKP, 2021). The development of culinary centers in an area is closely related to the increase in tourism in that area. Culinary centers cannot be separated from the variety of food menus they sell. Fishery products are known to be so complete that they provide
  • 2. Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF) 7(5)-2023 Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.) https://aipublications.com/ijhaf/ Page | 11 their own color as an attraction for tourists, whether they come from fishing production or cultivation production, both from freshwater and seawater fish. Restaurants or small snack stalls offering "tuna jaw" and "tuna breast" products have brightened the culinary business trend in Manado City since the 2000s until now. According to unwritten information, this product was initially only used as a raw material for fish meal because the two parts of tuna apart from the bones and head were discarded/set aside not for export products. It started with a small kiosk that specifically sold menus/products and then expanded to a large restaurant that provided various types of food and processed foods. Consumer preference is defined as a person's choice of liking or disliking a product or service being consumed (Enrida et al., 2016). According to Zikhri (2016), consumer preferences show consumers' preferences for several product choices available. Research conducted by Triyana A (2010) states that preferences are formed in consumers based on the attributes of price, size and freshness. This turns out to be very dependent on the efficiency of a distribution channel that produces catches. According to Gazali (2016) who researched consumer preferences for marine products, it shows that the attributes that have a real influence on consumer attitudes in choosing fish products are product quality and diversity. Price as an attribute can be interpreted as meaning that price is a diversity concept that has different meanings for consumers depending on consumer characteristics, situations and products. Considering that fishery commodities have unique characteristics, namely perishable, non-uniform, seasonal, producer areas are generally on the coast and have larger and cooler spaces for storage, marketing of fishery products in general has the potential to be inefficient (Abidin, 2015) Therefore, it is very It is important to pay attention to the correct distribution pattern, which according to Kotler, P. & Keller, K.L. (2012), distribution is a process of delivering finished goods from producers to consumers when needed. A distribution pattern that is still standard but right on target is formed in the marketing distribution of large pelagic fish including tuna in Bitung City to the surrounding areas (Longdong, et al 2021) II. RESEARCH METHODS Data Collection Method The data in this research are primary data and secondary data. Primary data was obtained through interviews with a questionnaire guide which was distributed to 40 consumers who were at the restaurant they met. A total of 10 restaurants were determined as samples from ±100 restaurants spread across the city of Manado. Meanwhile, secondary data as supporting data was obtained through Manado City government agencies. The method used was a survey by visiting restaurants that specifically provide menus with tuna jaw and breast products. Data collection technique The sampling technique is based on purposive sampling and accidental sampling. The sample is consumers and the variables used are menu, price and cooking variants as independent variables and purchasing decisions are the dependent variable. This research carried out a multivariate analysis, so in sampling, 40 respondents were sampled at 10 restaurants that specifically served jaw menus and tuna data. There are 16 combinations, each respondent fills in a ranking according to their interest in the variants, menus and prices. The highest choice was 16 and the lowest was 1. The purposive sampling method was applied to determine the restaurant, while the accidental sampling method was used to determine respondents, namely consumers found at the restaurant. Data Analysis Qualitative descriptive data analysis was carried out simultaneously with data collection, data interpretation and writing narrative reports. Quantitative descriptive data analysis was carried out to analyze consumer attitude preferences. This research uses non-metric data using Conjoint Analysis with the SPSS program. III. RESULTS AND DISCUSSION 2.4 Research Results There are 300 tuna restaurants in the city of Manado (BPS Manado, 2022) and approximately 50 restaurants serve tuna jaw and breast variants and menus. A number of these restaurants are located along the coast of boulevard 1 and boulevard 2, Singkil sub-district and Authority sub-district and there are several located in Tikala sub-district. The city of Manado has long been known as a culinary tourism destination specifically for sea fish. For almost ± 25 years, the city of Manado has been characterized by the culinary business, this is of course greatly supported by the availability of sufficient raw materials. This is proven by the large number of tourist visits and national activities which make the city of Manado a place for activities for both government and private agencies. One strong reason is the availability of various restaurants that serve seafood menus, both demersal and pelagic fish. This fish is offered in fresh frozen form, which is then processed with various menus typical of the city of Manado. BPS Manado 2022,
  • 3. Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF) 7(5)-2023 Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.) https://aipublications.com/ijhaf/ Page | 12 recorded that there are 604 restaurants in the city of Manado. This number is the highest number since 2015 (BPS Manado, 2017)20 which then decreased drastically due to the Covid-19 pandemic. However, now it is starting to grow again with the emergence of restaurants that serve the same menu and variants. The availability of raw materials for tuna jaws and breasts is obtained from processing factories in the city of Bitung. The distribution of raw materials follows the distribution pattern that applies to the distribution of pelagic fish in Bitung City, the involvement of intermediary traders is as a supplier of raw materials to restaurants in Manado City (Longdong, et al. 2021). A total of 7 restaurants out of 10 samples obtained raw materials from intermediary traders, the remaining 3 restaurants obtained them from retailers in traditional markets. Based on the results of data processing using the IBM SPSS software menu, between the menu attributes of tuna jaws and breasts, it turns out that consumers prefer tuna jaws compared to tuna breasts, the reason most likely lies in the sensation they get when eating tuna jaws. Even if asked about taste, both are equally tasty. The following are the results of an analysis of consumer choices regarding the menu, variants and prices offered. Conjoint Analysis At this stage, you choose the most preferred scenario (hypothesis). This scenario describes all possible configurations of reasons for choosing the attributes of processed fresh tuna. The number of scenarios is influenced by the number of variables/factors and variable levels (attributes). There are 3 variables and each variable/factor has 2, 3 and 4 attributes (menu, variant and price) so that we can create 3 scenarios of reasons that are different from one another (by multiplying the number of attributes by each variable/ factors to obtain 2x3x4 = 24 scenarios). The scenario results were 24 combinations of attributes, so respondents of course had difficulty evaluating the many reasons for choosing their attributes. The solution is to utilize orthogonal design techniques. This design functions to reduce the number of attribute combinations to a number that is easier to control, namely 16 attribute combination designs. In the orthogonal design results table, 16 preference scenarios for selecting the attributes of processed fresh tuna are obtained as follows: 1) Card 1: Tuna Jaw Menu, Soup Variant, Price 50 thousand. 2) Card 2: Tuna Jaw Menu, Grilled Rica, Price 60 thousand. 3) Card 3: Tuna Breast, Sauce Variant, Price 45 thousand. 4) Card 4: Tuna Jaw Menu, Grilled Rica, Price 45 thousand. 5) Card 5: Tuna Jaw Menu, Grilled Rica, Price 40 thousand 6) Card 6: Tuna Breast, Sauce Variant, Price 60 thousand. 7) Card 7: Tuna Jaw Menu, Grilled Rica, Price 50 thousand 8) Card 8: Tuna Jaw Menu, Woku Variant, Price 60 thousand 9) Card 9: Tuna Breast, Woku Variant, Price 40 thousand. 10) Card 10: Tuna Jaw Menu, Soup Variant, Price 40 thousand. 11) Card 11: Tuna Breast, Grilled Rica, Price 45 thousand. 12) Card 12: Tuna Breast, Woku Variant, Price 50 thousand. 13) Card 13: Tuna Breast, Grilled Rica, Price 50 thousand. 14) Card 14: Tuna Breast, Grilled Rica, Price 60 thousand. 15) Card 15: Tuna Jaw Menu, Woku Variant, Price 45 thousand. 16) Card 16: Tuna Breast, Grilled Rica, Price 40 thousand. The next stage is to present a hypothetical scenario that has been selected by 40 respondents. Scenario preferences in the questionnaire are expressed using discrete choices. The use of discrete models is done because it is closer to realistic decision making. The results of the importance values for each respondent are presented in the table below. Table.1 Importance value for each respondent Respondent Importance Value Respondent Importance Value Respondent 1 Variant 64,706 Respondent 21 Variant 75,281 Respondent 2 Variant 61,905 Respondent 22 Variant 62,295 Respondent 3 Variant 53,933 Respondent 23 Variant 71,875 Respondent 4 Variant 69,565 Respondent 24 Variant 85,185
  • 4. Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF) 7(5)-2023 Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.) https://aipublications.com/ijhaf/ Page | 13 Respondent 5 Variant 57,265 Respondent 25 Variant 46,667 Respondent 6 Variant 60,606 Respondent 26 Variant 54,237 Respondent 7 Variant 55,556 Respondent 27 Variant 80,000 Respondent 8 Variant 50,980 Respondent 28 Variant 58,000 Respondent 9 Variant 57,895 Respondent 29 Variant 60,345 Respondent 10 Variant 42,553 Respondent 30 Variant 47,059 Respondent 11 Variant 58,491 Respondent 31 Variant 51,456 Respondent 12 Variant 59,016 Respondent 32 Variant 56,122 Respondent 13 Variant 70,909 Respondent 33 Variant 50,575 Respondent 14 Variant 65,217 Respondent 34 Variant 52,941 Respondent 15 Variant 70,642 Respondent 35 Variant 61,404 Respondent 16 Variant 77,966 Respondent 36 Variant 70,909 Respondent 17 Variant 45,833 Respondent 37 Variant 68,293 Respondent 18 Variant 77,778 Respondent 38 Variant 63,107 Respondent 19 Variant 57,522 Respondent 39 Variant 47,059 Respondent 20 Variant 58,491 Respondent 40 Variant 55,556 Table 1 above shows that respondent 1 has a high preference for processed tuna fish variants compared to the Menu and Price variables. High preference is shown by the importance value of 64,706. Of the 40 respondents, 36 respondents preferred the processed tuna fish variant variable, while 4 respondents had a high preference for the price of processed tuna fish. The results of each respondent's preferences for the attributes of processed tuna fish menus can be seen from the complete utility estimate values presented in the table 2 below. Table. 2 Utility Attributes of each respondent Respondent Menu Utility Estimate Variant Utility Estimate Price Utility Estimate Respondent 1 Tuna Jaws ,250 Burn Rica 3,167 50 ribu 1,750 Respondent 2 Tuna Jaws ,750 Burn Rica 4,500 45 ribu 1,000 Respondent 3 Tuna Jaws 1,250 Burn Rica 1,167 50 ribu 3,250 Respondent 4 Tuna breast 1,000 Burn Rica 4,333 50 ribu ,500 Respondent 5 Tuna breast 1,500 Burn Rica 4,500 60 ribu 1,250 Respondent 6 Tuna Jaws ,188 Burn Rica 4,583 60 ribu 1,688 Respondent 7 Tuna Jaws 1,125 Burn Rica 3,500 45 ribu 1,250 Respondent 8 Tuna Jaws ,500 Burn Rica 4,333 45 ribu 1,750 Respondent 9 Tuna breast 1,250 Burn Rica 4,667 50 ribu 1,500 Respondent 10 Tuna breast 1,250 Burn Rica 3,000 45 ribu 3,000 Respondent 11 Tuna Jaws 1,000 Burn Rica 4,667 45 ribu 2,250 Respondent 12 Tuna Jaws ,875 Burn Rica 5,333 60 ribu 2,250 Respondent 13 Tuna Jaws 1,000 Burn Rica 5,000 50 ribu 1,250 Respondent 14 Tuna Jaws ,625 Burn Rica 4,667 60 ribu 1,500
  • 5. Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF) 7(5)-2023 Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.) https://aipublications.com/ijhaf/ Page | 14 Respondent Menu Utility Estimate Variant Utility Estimate Price Utility Estimate Respondent 15 Tuna Jaws ,875 Burn Rica 4,833 45 ribu 1,250 Respondent 16 Tuna breast ,125 Woku 5,583 40 ribu 1,500 Respondent 17 Tuna Jaws ,750 Woku 1,917 45 ribu 3,250 Respondent 18 Tuna Jaws ,500 Burn Rica 5,333 50 ribu ,500 Respondent 19 Tuna Jaws ,250 Burn Rica 3,833 50 ribu 3,250 Respondent 20 Tuna Jaws 1,625 Burn Rica 4,833 50 ribu 1,375 Respondent 21 Tuna Jaws ,750 Burn Rica 4,167 45 ribu ,750 Respondent 22 Tuna Jaws ,875 Broth 4,250 50 ribu 2,000 Respondent 23 Tuna Jaws 1,000 Woku ,125 50 ribu 2,625 Respondent 24 Tuna breast ,500 Burn Rica 3,500 45 ribu ,250 Respondent 25 Tuna Jaws 1,500 Burn Rica 3,333 45 ribu 2,250 Respondent 26 Tuna Jaws ,125 Woku 3,167 40 ribu 2,750 Respondent 27 Tuna Jaws 0,000 Burn Rica 5,333 60 ribu 1,500 Respondent 28 Tuna Jaws ,375 Burn Rica 4,333 60 ribu 1,500 Respondent 29 Tuna Jaws 1,250 Burn Rica 5,000 50 ribu 1,250 Respondent 30 Tuna Jaws 1,625 Burn Rica 4,000 50 ribu 1,500 Respondent 31 Tuna Jaws 1,125 Burn Rica 4,167 45 ribu 1,750 Respondent 32 Tuna Jaws 1,313 Burn Rica 3,250 45 ribu ,313 Respondent 33 Tuna Jaws ,062 Burn Rica 2,250 50 ribu 2,188 Respondent 34 Tuna Jaws ,625 Burn Rica 2,333 50 ribu 3,250 Respondent 35 Tuna Jaws 1,125 Burn Rica 5,000 50 ribu 1,250 Respondent 36 Tuna Jaws 1,000 Burn Rica 5,000 50 ribu 1,250 Respondent 37 Tuna Jaws ,125 Burn Rica 4,000 60 ribu 1,750 Respondent 38 Tuna Jaws 1,125 Burn Rica 2,833 50 ribu 1,000 Respondent 39 Tuna Jaws 1,625 Burn Rica 4,000 50 ribu 1,500 Respondent 40 Tuna Jaws 1,125 Burn Rica 4,167 45 ribu 2,000 Table 2 above shows that respondent 1 has a high preference for the Jaw Tuna menu, Grilled Rica Variant and Price 50 thousand. The utility value of respondent 1 for Menu Material is 0.250, Burn Rica 3.167 and Price of 50 thousand is 1.750. Likewise for Respondents 2 to 40 respondents can be seen in the table above. The results of the importance values from the overall conjoint analysis are presented in full in the table below: Table 3. Importance Value Menu 13.360 Variant 57.953 Price 28.687 In table 3, the Important value above this value shows the respondent's level of importance in choosing variables/factors in the scenario of reasons for choosing variables on the fresh tuna processed menu. Of the 40 respondents who filled out the respondent preference questionnaire, all of them could be processed using conjoint analysis. Of the 3 variables/factors, namely processed menu, variant and price, respondents had the highest level of importance (have preferences) in the variable/factor. Variant obtained the highest value of 57,953 compared to Price obtained a value of 28,687 and Menu obtained a value of 13,360. This shows that the Variant attribute is an important factor that consumers consider when determining their food choices. The second
  • 6. Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF) 7(5)-2023 Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.) https://aipublications.com/ijhaf/ Page | 15 factor is price and the last is the menu. In graphic form, it can be seen in the importance value graph below: Fig.1. Graph. Importance value After the respondent's preference for variables/factors is known, which one has the highest preference, the next step is to find out the respondent's preference at the attribute level. A negative utility estimate value indicates that the respondent does not like that attribute level. Meanwhile, positive indicates that the respondent likes that attribute/level. For more details, look at the utilities table for all respondents (overall) which is presented in the table below. Table. 4 Attribute Utilities Utility Estimate Std. Error Menu Tuna breast -.470 .404 Tuna Jaws .470 .404 Varian Burn Rica 3.690 .539 Woku -.642 .632 Broth -3.048 .632 Price 40 thousand -.995 .700 45 thousand .617 .700 50 thousand .873 .700 60 thousand -.495 .700 (Constant) 7.592 .426 Conjoint analysis is a method used to determine consumer preferences for an item. In table 06. above are the results obtained in this research which show consumer preferences for tuna jaw and breast products as follows: 1) On the food menu, respondents prefer the processed Jaw Tuna menu where a utility (positive) value of 0.470 is obtained compared to the Dada Tuna menu with a utility (negative) of -0.470. 2) In food variants, respondents preferred processed Burn Rica where the utility value was obtained at 3,690 compared to Woku at -0.642 and gravy at only -3,048. 3) In the food price variable, respondents prefer food at a price of 50 thousand, where the utility value is 0.873 compared to the price of 45 thousand, the utility is 0.617, whereas at the price of 40 thousand it is only -0.995, and at the price of 60 thousand the utility value is -0.495, both of which are negative value. The relationship between respondents' preferences and the attributes of processed fresh tuna can be seen in the Pearson's R and Kendall Tau values. In the correlations table below, the Pearson's R value is 0.929 with a significance of 0.000 and the Kendall's tau value is 0.750 with a significance of 0.000 (less than 0.050). These results indicate that there is a significant relationship between respondents' preferences and the attributes of processed fresh tuna or simply that the multiple regression model used is appropriate for the data analyzed. More details can be seen in the table below. Table. 7 Values of Person's R and Kendall's Tau Value Sig. Pearson's R .929 .000 Kendall's tau .750 .000 IV. CONCLUSION 1. Consumer preferences for processed fresh tuna jaw and tuna breast fish products show that consumers prefer the processed Jaw Tuna menu where a utility value (positive) is obtained of 0.470 compared to the Tuna Breast menu with a utility (negative) of -0.470. 2. Consumer preferences include food variants, consumers prefer the Burn Rica dish where the utility value is 3,690 compared to the Woku dish of -0.642 and the soup is only -3,048. 3. In the food price variable, consumers prefer food at a price of 50 thousand where a utility value of 0.873 is obtained compared to a price of 45 thousand utility of 0.617, whereas at a price of 40 thousand it is only -0.995, and at a price of 60 thousand the utility value is -0.495, both of which are negative value. 4. Consumer attitudes towards menu choices for processed tuna jaws and breasts are largely determined by the menu products, variants offered and applicable prices. This is shown by the Pearson's R and Kendall Tau values which show a Pearson's R value of 0.929 with a significance of
  • 7. Longdong et al. International Journal of Horticulture, Agriculture and Food Science (IJHAF) 7(5)-2023 Article DOI: https://dx.doi.org/10.22161/ijhaf.7.5.3 (Int. j. hortic. agric. food sci.) https://aipublications.com/ijhaf/ Page | 16 0.000 and a Kendall's Tau value of 0.750 with a significance of 0.000 (less than 0.050). REFERENCES [1] BPS Kota Manado, 2022. https://manadokota.bps.go.id/publication/2022/02/25/8aa8d3 272751dfe3f2d382fe/kota-manado-dalam-angka-2022.html [2] KKP, 2020 Statistik KKP. Jumlah Angka Konsumsi Ikan (AKI) https://kkp.go.id/brsdm/sosek/artikel/41211-angka- konsumsi-ikan-per-provinsi [3] Enrida, A., Kumadji S., dan Sunarti. (2016). Analisis Faktor-Faktor Preferensi Pelanggan dan Pengaruhnya Terhadap Keputusan Pembelian (Studi Terhadap Pelanggan McDonald’s di Indonesia dan Malaysia). Jurnal Admisnistrasi Bisnis, Vol. 30 No. 1. [4] Zikhri, M. (2016). Analisis Preferensi Konsumen Terhadap Atribut Susu Kedelai dan Faktor yang mempengaruhi. Bogor Agricultural. Institut Pertanian Bogor. [5] Triyana, A., 2010. Analisis Preferensi Konsumen terhadap Ikan Pelagis di Muara Angke Jakarta. FPIK-Bogor [6] Ghozali, M. 2016. Preferensi Konsumen Terhadap Produk Hasil Laut (Studi Kasus Restoran Seafood Mjm Kota Palu, Sulawesi Tengah). Jurnal Perikanan Tropis Available online at: Volume 3, Nomor 1, 2016 http://utu.ac.id/index.php/jurnal.html ISSN: 2355-5564, E- ISSN: 2355-5572 [7] Abidin, Z. 2015. Saluran Pemasaran Dan Efisiensi Biaya Serta Pendapatan Usahatani Tembakau Terhadap Kontribusi Pendapatan Keluarga Di Desa Bra Kulon Probolinggo. Skripsi. Fakultas Pertanian Universitas Jember. [8] Kotler, P. & Keller, K.L. (2012). Manajemen Pemasaran Jilid I Edisi ke 12. Jakarta: Erlangga. [9] Longdong F.V, Vivanda M, Chatrien S.(2021). Supply Chain of Pelagis Catch Fisheries in the New Normal Era Case Study of PPS Bitung Province of North Sulawesi, Indonesia. The Internasional Journal Of Business & Management (The IJBM) Volume 9, Issue 10 Oktober 2021. [10]BPS Kota Manado, 2017. https://manadokota.bps.go.id/publication/2017/08/11/38677 a0be3f6985abcebd706/kota-manado-dalam-angka- 2017.html