DETERMINATION OF LEADING FISHERY PRODUCTSPESANTREN BASED USING FUZZY TOPSIS METHOD

  • Ramli Ramli Teknologi Hasil Perikanan, Universitas Ibrahimy SukorejoSitubondo, Indonesia
  • Budi Setiawan Jurusan Sosial Ekonomi Pertanian, Universitas Brawijaya, Malang, Indonesia
  • Imam Santoso Jurusan Teknik Usaha Pertanian, Universitas Brawijaya, Malang, Indonesia
  • Siti Asmaul Mustaniroh Jurusan Teknik Usaha Pertanian, Universitas Brawijaya, Malang, Indonesia
Keywords: processed fishery products, pesantren, Fuzzy TOPSIS

Abstract

Processed fishery products between one regions and other regions vary depending on the resources in the region which substantially increase added value for the fisheries sector as a whole. Thus the development of Processed fishery products in Situbondo Regency needs to pay attention to the potential of fishery resources and market potential in this region. Situbondo Regency is known as the city of santri because of the hundreds of pesantren with nearly one hundred thousand santri scattered in this area. Pesantren is a unique educational institution. One of the uniqueness is in the form of high militancy and fanaticism from santri, pesantren graduates, communities in pesantren and pesantren sympathizers. This high fanaticism can be converted into a potential market as a target market for processed fishery products at pesantren in Situbondo Regency. Therefore, a study is needed on the development of processed fishery products that can meet the market needs of pesantren in Situbondo. This research was conducted with the aim to determine of superior processed fishery products based on pesantren in Situbondo regency by using Fuzzy TOPSIS method, which is one of the fuzzy multi attribute methods for decision making. The results showed that superior processed fishery products based on pesantren in Situbondo regency were alternative A3 (squid crackers), processed fishery products of the next were alternative A1 (mixed fish crackers) and alternative A2 (tuna crackers).

References

Agustini, T.W. dan F. Swastawati. 2003. Utilization of fishery product with added value to support food diversification. Jurnal teknologi dan industri pangan.XIV(1) : 74-8

Anhar.A., 2013. Kombinasi Metode TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) dan AHP (Analytical Hierarchy Process) dalam Menentukan Objek Wisata Terbaik di Pulau Bali, [Skripsi] Program Studi S1 Matematika, FMIPA Universitas Brawijaya :37-45

Bar, E. S. 2015. A case study of obstacles and enablers for green innovation within the fi sh processing equipment industry.Journal of Cleaner Production, 90(1), 234–243.

Budiman, R. F. 2009. Pemilihan Supplier dengan Metode Topsis MCDM.Tugas Akhir Jurusan Matematika Institut Teknologi Sepuluh Nopember. Surabaya Lestari, S. 2011.

Dinas Perikanan Kabupaten Situbondo. 2018. Laporan Tahunan 2017.

Erlina, S., I.I. Ifada dan Supianor. 2016. Prospek Usaha Pembuatan Kerupuk Ikan Gabus. ZIRAA’AH. 41(2) : 237-242

Fadhil, R., M. S. Maarif, T. Bantacut3 dan A. Hermawan 2017. A Multi-Criteria Decision Support System For The Development Of Gayo Coffee Agroindustry By Using Fuzzy-Eckenrode And Fuzzy-TOPSIS Approaches. Jurnal Teknologi Industri Pertanian 27 (1):103-113

Faozan, A. 2006.Pondok Pesantren dan Pemberdayaan Ekonomi.Jurnal Studi Islam dan Budaya 4 (1) : 25-33

Halim. 2005. Manajemen pesantren. Yogyakarta: Pustaka Pesantren

Hwang, C. L. and K. Yoon. 1981. Multiple Attributes Decision Making Methods and Application. Berlin Heidelberg: Springer

Indrawati, N.K., 2014. Management by Inspiration: implementation of transformational leadership on business at pondok pesantren Sunan Drajat. Journal of Procedia - Social and Behavioral Sciences 115 ( 2014 ) :79 – 90

Kaewmanee, T., T.T. Karrila and S.Benjakul. 2015. Effects of fish species on the characteristics of fish cracker. International Food Research Journal 22(5): 2078-2087

Kusumadewi, S., S. Hartati, A. Harjoko, A. Wardoyo. 2006.Fuzzy Multi Atribut Decision Making (FMADM), Graha Ilmu, Yogyakarta

Kusumaningrum, I., dan A. N. Asikin. 2016. Karakteristik Kerupuk Ikan Fortifikasi Kalsium Dari Tulang Ikan Belida. JPHPI.journal.ipb.ac.id/index.php/jphpi. 19(3) : 233-240

Laiya, N., R. M. Harmain dan Y. Nikmawatisusanti. 2014. Formulasi Kerupuk Ikan Gabus yang Disubstitusi dengan Tepung Sagu.Jurnal Ilmiah Perikanan dan Kelautan.II(2) : 81-87

Muhardonoa, A., dan R. R. Isnanto. 2014. Penerapan Metode AHP dan Fuzzy Topsis Untuk Sistem Pendukung Keputusan Promosi Jabatan.Jurnal Sistem Informasi Bisnis 02: 108-115.

Neiva, C.R.P., T. M. Machado, R. Y. Tomita, É. F. Furlan, M. J. Lemos neto and D. H. M. Bastos. 2010. Fish crackers development from minced fish and starch: an innovative approach to a traditional product. Ciênc.Tecnol.Aliment.,Campinas. 31(4): 973-979

Ningrum, M., Sutarman, R. Sitepu. 2012. Aplikasi metode TOPSIS fuzzy dalam menentukan prioritas kawasan perumahan di kecamatan percut sei tuan. Jurnal Saintia Matematika1(1) : 101–11

Riyanto, S., and F. H. Mardiansjah. 2018. Study of fisheries industry development in the local economic development in pati regency. Jurnal Pembangunan Wilayah dan Kota. 14(1) : 61-69

Rouhani, S., Ghazanfari, M. and Jafari, M. 2012.Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS.ExpertSystems with Applications, 3764-3771

Salampessy, R.B.S., A. Permadi, dan J. Haluan. 2012. Kajian analisis pengembangan pengolahan hasil perikanan di Kabupaten Serang. Jurnal Ilmu Pertanian dan Perikanan.Departemen Pemanfaatan Sumberdaya Perikanan Fakultas Perikanan dan Ilmu Kelautan IPB. Bogor. 1(1) : 9-1

Sukerti, N.K. 2015.Penerapan Fuzzy TOPSIS Untuk Seleksi Penerima Bantuan Kemiskinan. Jurnal Informatika, 15(2) : 127-14

Thrane.M., E.H. Nielsen & P. Christensen. 2009. Cleaner production in Danish fish processing – experiences , status and possible future strategies. Journal of Cleaner Production, 17(3), 380–390.

Uyun, S. 2011. A Fuzzy TOPSIS Multi-Attribute Decision Making for Scholarship Selection.JurnalTelekomnika, 9 (1) : 111-118

Wardhani, I.K., I. G. N. R. Usadha dan M. I. Irawan. 2012. Seleksi Supplier Bahan Baku dengan Metode TOPSIS Fuzzy MADM (Studi Kasus PT. Giri Sekar Kedaton, Gresik). Jurnal Sains Dan Seni Pomits. 1(1) : 1-6

Zouggari, A., dan L. Benyoucef. 2011. Simulated based Fuzzy TOPSIS approach for group Multi Criteria Supplier Selection Problem. Eng Appl. Artif Intell. 25 (3) : 507-519

Zulfahmi, A.N., F. Swastawati dan Romadhon. 2014. Pemanfaatan Dagingikan Tenggiri (Scomberomorus commersoni) Dengan Konsentrasi Yang Berbedapada Pembuatan Kerupuk Ikan.Jurnal Pengolahan dan Bioteknologi Hasil Perikanan 3(4) : 133-139

Published
2018-10-24
How to Cite
Ramli, R., Setiawan, B., Santoso, I., & Mustaniroh, S. A. (2018). DETERMINATION OF LEADING FISHERY PRODUCTSPESANTREN BASED USING FUZZY TOPSIS METHOD. Samakia : Jurnal Ilmu Perikanan, 9(2), 53-64. https://doi.org/10.35316/jsapi.v9i2.226
Abstract viewed = 20 times
PDF (Bahasa Indonesia) downloaded = 0 times