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Journal : J-Icon : Jurnal Komputer dan Informatika

PENERAPAN DATA MINING UNTUK PREDIKSI HASIL PANEN BUDIDAYA PERIKANAN DARI MITRA PANEN MENGGUNAKAN ALGORITMA SUPPORT VECTOR REGRESSION Suprapto, Claudia Millennia; Saputra, Wahyu Syaifullah Jauharis; Aditiawan, Firza Prima
J-Icon : Jurnal Komputer dan Informatika Vol 12 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v12i2.13187

Abstract

PT. Adma Digital Solusi is a company that serves as a harvest partner for cultivators in the fields of agriculture, animal husbandry and fisheries which is used for planning and controlling supply chain results. Planning and controlling PT fishery supply chain results. Adma Digital Sousi in the digital era needs to utilize various technologies and information systems. This aims to ensure that planning and controlling fish resources fulfill aspects of effectiveness and efficiency in decision making. In this research, a machine learning method will be implemented using the Support Vector Regression (SVR) algorithm to predict the harvest results of PT's fishery cultivation partners. Adma Digital Solutions. The SVR algorithm is a theory used to solve a regression classification problem using a Support Vector Machine (SVM). The SVR forecasting process uses the SVR() model by filling in the parameters, namely the kernel using polynomials, C is filled with the value 100, gamma is filled with auto, degree is filled with the value three, epsilon is filled with the value 0.1, and finally coef0 is filled with the value one. Then, using the fit function to train the model using x train and y train data to produce a MAPE error rate value of 0.12865018182566176 and an R2 value of 0.9998831470091238 with very good and accurate prediction capabilities. By knowing the estimated harvest results of aquaculture, the benefits obtained by harvest partners are adjusting production and marketing strategies to maximize profits. And can help harvest partners in managing risks, because they can prepare themselves well for situations where harvest results do not match estimates.
Co-Authors Achmad Junaidi Adzanil Rachmadhi Putra Agil Sakinah, Fenti Agung Mustika Rizki Agung Mustika Rizki, Agung Mustika Akbar, Fawwaz Ali Akhmad Fauzi Al Fathoni, Hanif Alit, Ronggo Alwin, Muhammad Izdihar Andreas Nugroho Sihananto Anggraini Puspita Sari Anggriawan, Teddy Prima Aniisah Eka Rahmawati Ardilla, Aufa ASHARI, FAISAL Boy Diego Lumwartono Davila Erdianita Dimas Putra Andaru Dimas Putra Andaru Dwi Arman Prasetya Dwi Rahma Putri, Septiani Eka Prakarsa Mandyartha Eka Zuni Selviana EKO WAHYUDI Eriyansyah Yusuf Suwandana Erlangga Putra Ramadhan Eva Yulia Puspaningrum Fetty Tri Anggraeny Firmansyah Firdaus Anhar Gusti Eka Yuliastuti Hamidah Hendrarini Hardianto, Eragradiansyah Henni Endah Wahanani Herdi Rofaldi Hidra Amnur I Gede Susrama Idhom, Mohammad Iriansah, Ogy Rachmad Ismiati, Suci Khairil Amin, Mohammad Lina Nurlaili, Afina Made Hanindia Prami Swari Mafaza, Rima Muttaqina Mahanani, Anajeng Esri Edhi Maulana, Hendra Mohammad Idhom Mubarokah Muhammad Eko Prasetyo Muhammad Izdihar Alwin Muhammad Izdihar Alwin Muhammad Muharrom Al Haromainy Mustika Rizki, Agung Muttaqin, Faisal Muttaqin, Faisal Nobrian, Ikhsan Nugroho Gultom, Wahyu Nugroho Sihananto, Andreas Nur Aini Ersanti Nurlaili, Afina Lina Pradana Ariando, Aldo Pratama Wirya Atmaja Pratama Wirya Atmaja Puspaningrum, Eva Y Rahmawati, Aniisah Eka Raviy Bayu Setiaji Retno Mumpuni Rizki, Agung Mustika Rizqulloh Zain, Muhammad Dhiya'ulhaq Samdono, Arif Saputra, Wahyu Syaifullah Jauharis Shabika Aqmarina, Azzuraa Soedarto, Teguh Suprapto, Claudia Millennia Vita Via, Yisti Wardana, Nabila Sya’bani Wicaksa Putra Pribadi, Achareeya Widoretno, Astrini Aning Winata, Chycik Ayu Wirya Atmaja, Pratama Yunizar, Sri Fatmawati