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Sanriomi Sintaro
Universitas Sam Ratulangi
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Journal : JURNAL REKAYASA INFORMASI SWADHARMA (JRIS)

 1 
PENERAPAN RULE-BASED EXPERT SYSTEM UNTUK REKOMENDASI UMPAN BERDASARKAN SPESIES IKAN DAN KONDISI PERAIRAN DI LAUT MANADO Sintaro, Sanriomi; Latumakulita, Luther Alexander; Sabandar, Vederico Pitsalitz
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 5, No 2 (2025): JURNAL JRIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol5no2.824

Abstract

Capture fisheries are an important economic sector for coastal communities in the Manado region. One of the key factors influencing fishing success is the selection of appropriate bait. Choosing the correct bait can significantly improve catch efficiency, while incorrect bait selection may reduce fishing effectiveness. In practice, bait selection among local fishermen still relies heavily on traditional knowledge passed down orally or gained through personal experience, which is not always easily accessible to novice fishermen. This study aims to develop a Rule-Based Expert System that provides bait selection recommendations to support fishing activities around Manado. The system was designed by incorporating practical knowledge from experienced fishermen obtained through semi-structured interviews and field observations. The parameters used in the system include target fish species, water depth, sea current strength, and season. The Rule base was constructed based on various combinations of these parameters and implemented as a web-based application using PHP programming language. Testing results show that the system achieves a 90% accuracy rate in providing recommendations based on validation conducted with local fishermen. Further evaluation indicates that the system is considered easy to use and beneficial as a decision-support tool for bait selection, particularly for novice fishermen. Additionally, the fishermen provided positive feedback for future system enhancements, suggesting the inclusion of additional contextual factors such as weather conditions and lunar phases. In conclusion, the developed Rule-Based Expert System has significant potential to support more efficient and sustainable fishing practices in the waters around Manado and facilitate knowledge transfer to the next generation of fishermen.Perikanan tangkap merupakan sektor ekonomi yang sangat penting bagi masyarakat pesisir di wilayah Manado. Salah satu faktor kunci yang mempengaruhi hasil tangkapan ikan adalah pemilihan umpan yang tepat. Umpan yang sesuai dapat meningkatkan peluang keberhasilan penangkapan, sementara pemilihan umpan yang kurang sesuai dapat menyebabkan penurunan efisiensi usaha penangkapan. Dalam praktiknya, pemilihan umpan oleh nelayan di wilayah ini masih sangat bergantung pada pengetahuan tradisional yang diperoleh melalui pengalaman pribadi atau diwariskan secara lisan, sehingga tidak selalu mudah diakses oleh nelayan pemula. Penelitian ini bertujuan untuk mengembangkan sebuah Rule-Based Expert System yang dapat memberikan rekomendasi pemilihan umpan untuk mendukung kegiatan perikanan tangkap di perairan sekitar Manado. Sistem dirancang dengan mengadopsi pengetahuan praktis dari nelayan berpengalaman, yang diperoleh melalui proses wawancara semi-terstruktur dan observasi lapangan. Parameter yang digunakan dalam sistem meliputi spesies ikan target, kedalaman perairan, arus laut, dan musim. Rule base disusun berdasarkan kombinasi keempat parameter tersebut, kemudian diimplementasikan dalam sebuah aplikasi berbasis web menggunakan bahasa pemrograman PHP. Hasil pengujian menunjukkan bahwa sistem mampu memberikan tingkat kesesuaian rekomendasi sebesar 90%, berdasarkan validasi yang dilakukan bersama nelayan di wilayah Manado. Evaluasi lebih lanjut menunjukkan bahwa sistem ini dinilai mudah digunakan, serta bermanfaat sebagai alat bantu dalam proses pengambilan keputusan terkait pemilihan umpan, terutama bagi nelayan pemula. Selain itu, nelayan memberikan masukan positif terkait pengembangan sistem ke depan, termasuk penambahan faktor-faktor lain seperti kondisi cuaca dan fase bulan. Dengan demikian, Rule-Based Expert System yang dikembangkan dalam penelitian ini memiliki potensi besar untuk mendukung perikanan tangkap yang lebih efisien dan berkelanjutan di perairan sekitar Manado, serta membantu proses transfer pengetahuan kepada generasi nelayan baru
Co-Authors Ade Dwi Putra Ade Surahman Ade Surahman Ade Surahman Ade Yusupa Adhie Thyo Priandika Aditya Lapu Kalua Agung Taroreh, Gabriell Cristiano Agus Wantoro Ahmad Ari Aldino Ahmad Ari Aldino Albani Boutje Johanes Alfonsius, Eric Arinda Rifaini Arshad, Muhammad Waqas Arundaa, Rillya Bernard Bernard, Bernard Budiono, Andiswar Muhamad Catra Adi Pranata Christian Alderi Jeffta Soewoeh Daniel Wolayan, Delon Dedi Darwis Deiby T Salaki DINGSE PANDIANGAN Djoni Hatidja Dodisutarma Lapihu Donaya Pasha Dr. Nelson Nainggolan, M.Si Eko Dedi Listiono Eliasta Ketaren Fenty ariany Goma, Shotya Henry Tampi, Christian Ronaldo Hutasoit, Las D. Idrajat Pangestu Irfan Fauzan Iriansu, Irfah Syagitsyah Islam, Noorul Isnain, Auliya Rahman Izudin Ismail Johanes, Albani Boutje Kadek Tame Jaya Kaplale, Jaidun Ramadhan Khafidlin Triatama Kurnia Noviyanti A. Mantu Lapu Kalua, Aditya Latumakulita, Luther Aleander Lili Andraini Lulud Oktaviani Lusiana Indawa Luther Latumakulita M. Ghufroni An’ars Mahardika Inra Takaendengan Mapalie, Natassya Klarissa Ribka Massie Hihola, Maharani Margareth Melvitasari Tinambunan Mesran, Mesran Muhammad Rahadiyan Bagaskara Nainggolan, Verina Putri Gloria NELSON NAINGGOLAN Ngangi, Stephano Caesar Wenston ningtyas, Kurnia rimadhanti Nofri Khairandi Pamungkas, Nurhuda Budi Pasaribu, A. Ferico Octaviansyah Putra, Ade Dwi Raintung, Stephanie Marceline Rillya Arundaa Ryan Randy Suryono Salaky, Deiby Tineke Setiawansyah Setiawansyah Setiawansyah Setiawansyah Siska Ayu Widiana Soleman, Kurniawan Stephano Caesar Wenston Ngangi SUAIDAH SUAIDAH, SUAIDAH Sulung, Sharon Tabita Sumanto Sumanto Surahman, Ade Takaendengan, Mahardika Inra Tenda, Edwin Tien Yulianti Turnip, Rama Ijon Tutu, Erlica M.I. Van Gobel, Amelya Ramadhanty Vederico Pitsalitz Sabandar Very Hendra Saputra Very Hendra Saputra Wahyudi, Agung Deni Waqas Arshad, Muhammad Wisard Widsli Kalengkongan Yessi Yunitasari YOHANA TRI UTAMI, YOHANA TRI Yohanes Bery Mokalu Yuni Tri Lestari, Yuni Tri Yuri Rahmanto