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All Journal Edu Komputika Journal Sinkron : Jurnal dan Penelitian Teknik Informatika METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal ULTIMA InfoSys TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol ILKOMNIKA: Journal of Computer Science and Applied Informatics JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) G-Tech : Jurnal Teknologi Terapan Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Mitra Mahajana: Jurnal Pengabdian Masyarakat Jurnal Telkommil Jurnal Elkasista Jurnal Abdi Masyarakat Saburai (JAMS) Insearch: Information System Research Journal Indonesian Community Journal Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Andalas: Rekayasa dan Penerapan Teknologi JUSIFOR : Jurnal Sistem Informasi dan Informatika Biner : Jurnal Ilmiah Informatika dan Komputer Jurnal Pelita Pengabdian Jurnal Informatika Polinema (JIP) JANUR
Choirina, Priska
Universitas Islam Raden Rahmat
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Journal : Jurnal ULTIMA InfoSys

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Development of an Expert System for Diagnosis of Pests and Diseases in Soybean Plants Using the Forward Chaining Method Alfadani, Fikri; Choirina, Priska; Jannah, Urnika Mudhifatul
ULTIMA InfoSys Vol 15 No 2 (2024): Ultima Infosys: Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i2.3743

Abstract

This research focuses on developing an expert system to detect pests and diseases affecting soybean plants (Glycine max), which often reduce yield. The system employs forward chaining with the best-first search decision-making algorithm, which was developed using the waterfall methodology. Data utilized includes comprehensive information on symptoms, types of pests, diseases, and their respective management solutions gathered through case studies and expert interviews. Users of the system can input observed symptoms in soybean plants, and the system provides diagnoses and treatment recommendations based on established knowledge rules. Feasibility testing of the system was conducted using the TAM approach to assess technology acceptance among users and BlackBox Testing to ensure system reliability from a technical perspective. Test results indicate that the expert system is viable, achieving a feasibility rate of 83.7% based on TAM criteria and 100% across eight modules using BlackBox Testing, demonstrating significant potential in effectively supporting the diagnosis and management of pests and diseases in soybean plants.
Development of an Expert System for Diagnosis of Pests and Diseases in Soybean Plants Using the Forward Chaining Method: Case Study: Badan Standarisasi Instrumen Pertanian (BSIP) Aneka Kacang Kendalpayak Malang Alfadani, Fikri; Choirina, Priska; Jannah, Urnika Mudhifatul
ULTIMA InfoSys Vol 15 No 2 (2024): Ultima Infosys: Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i2.3743

Abstract

This research focuses on developing an expert system to detect pests and diseases affecting soybean plants (Glycine max), which often reduce yield. The system employs forward chaining with the best-first search decision-making algorithm, which was developed using the waterfall methodology. Data utilized includes comprehensive information on symptoms, types of pests, diseases, and their respective management solutions gathered through case studies and expert interviews. Users of the system can input observed symptoms in soybean plants, and the system provides diagnoses and treatment recommendations based on established knowledge rules. Feasibility testing of the system was conducted using the TAM approach to assess technology acceptance among users and BlackBox Testing to ensure system reliability from a technical perspective. Test results indicate that the expert system is viable, achieving a feasibility rate of 83.7% based on TAM criteria and 100% across eight modules using BlackBox Testing, demonstrating significant potential in effectively supporting the diagnosis and management of pests and diseases in soybean plants.
Co-Authors Ahmad Mukhlis Ahmad Rifa’i Ahmad Saepuddin Ainun Nikmah Akbar, Fasal Alfadani, Fikri Alfi Fadliana Amalia Agung Septarina Andjani, Bella Sita Anggraeni Hadi Pratiwi Anisa Hudi Widaningrum Arga Yoda, Vincensius Arsistawa, Firmanda Ahmadani Ashar, Imam Asshidiqi, Faisol Khoufi Atika Prasetyawati Bagus Seta Inba Cipta Baqi, Rijalul Bella Cornelia Tjiptady Bella Sita Andjani Bila Nastiti Tasaufi Candra Pradhana Chanda, Muhammad Rizki Cipta, Bagus Seta Inba Darajad, Pangestuti Prima Erlillah Rizqi Kusuma Pradani Fahmi, Muhammad Hanif Farhan Farid Wahyudi Farid Wahyudi Febriana, Kiki Dwi Fitriani, Indah Martha Fitriani, Indah Martha Hamzah Haz, Dul Bazir Humam, Muhammad Na im Inba Cipta, Bagus Seta Jeki Saputra Kumala, Tri Ayu Tirta Lia Damayanti M. Rizal Akbar Zam Zami Marthen, Verdison Mauridhi Hery Purnomo Moch. Tiofany Yugi Ferdiansyah Mochamad Luthfi Nazif Suryana Mochamad Sulaiman Moh Fajar Alfan Rezaky Mufti, Muhammad Nabil Muhamat Maariful Huda Muhammad Alimun Muhammad Rizki Chanda Muhammat Maariful Huda Novia Ratnasari Nurcahyo, Alvin Okti Bela Alisia PANGESTUTI PRIMA DARAJAT Prasetyawati, Atika Pratiwi, Anggraeni Hadi Purwatiningsih Purwatiningsih Putra Prima Arhandi, Putra Prima Rahmah Nur Azizah Zain Rahmawati, Zurriat Nyndia Raka Anugrah Hamdhana Rijalul Baqi Rizqi Darma Rusdiyan Yusron Rohman, Mojibur Rosa Andrie Asmara Satria Utama Septarina, Amalia Agung Septiar Enggar Sukmana Surya Sumpeno Tarecha, Rachmad Imam Tasaufi, Bila Nastiti Tjiptady, Bella Cornelia Ulla Delfana Rosiani Ulla Delfana Rosiani Urnika Mudhifatul Urnika Mudhifatul Jannah Urnika Mudhifatul Jannah Urnika Mudhifatul Jannah, Urnika Mudhifatul Wahyu Pambudi Wahyudi, Farid widaningrum, anisa hudi Widyantoro, Bagas Wijaya, Muhammad Adi Yayi Febdia Pradani Yessy Nindi Pratiwi Pratiwi Yudhi Darmawan Yuliono, Gun