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All Journal Jurnal Ilmiah Informatika Komputer Elkom: Jurnal Elektronika dan Komputer Jurnal Teknologi Pendidikan Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik INFOKAM Jurnal Informatika dan Teknik Elektro Terapan IKRA-ITH Informatika : Jurnal Komputer dan Informatika INTEK: Informatika dan Teknologi Informasi Abdimas UNWAHAS : Jurnal Pengabdian Masyarakat UNWAHAS Budimas : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Intech : Information Technology Journal of UMUS Brilliance: Research of Artificial Intelligence Jurnal Ilmiah Teknik Informatika (TEKINFO) Journal of Economic and Management (JECMA) Journal of Education Transportation and Business Jurnal Ilmiah Ultras
Agyztia Premana
Program Studi Teknik Informatika, Fakultas Teknik Universitas Muhadi Setiabudi
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Implementasi Metode MOORA pada Sistem Prediksi Varietas Padi Berdasarkan Karakteristik Tanah Eko Fuji Pangestu; Otong Saeful Bachri; Agyztia Premana
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7271

Abstract

Rice crop productivity is influenced by the balance between the cultivated variety and soil characteristics. In Tanjung District, Brebes Regency, the selection of rice varieties is largely based on farmer experience, often without objectively considering soil conditions. This study aims to implement the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method to determine suitable rice varieties based on soil characteristics. The study utilizes five criteria soil pH, effective soil depth, soil moisture, drainage conditions, and soil texture and evaluates ten alternative rice varieties. The MOORA method involves constructing a decision matrix, normalization, weighting, calculating optimization values ​​(Yi), and ranking the alternatives. The results indicate that the Ciherang, IR64, Inpari 32 HDB, Inpari 34 Salin Agritan, and Inpari 35 Salin Agritan varieties achieved the highest optimization value (Yi) of 0.3441, making them the recommended varieties best suited to the analyzed soil characteristics. The application of the MOORA method provides objective and systematic rice variety recommendations, thereby supporting the decision-making process for variety selection based on soil conditions.
Co-Authors Ahmad Najmi Fuadi Akhmad Pandhu Wijaya, Akhmad Pandhu Andi Yulianto Bambang Irawan Damar Isti Pratiwi Dimas Prayogi Dwi Angga Fahrezi Eko Fuji Pangestu Gian Fitralisma Imam Prayogo Pujiono Istifada Nurul Hayati M Alfin Alfaridzi M. A. Wiryo M. Badruz Zaman Muhammad Rikzam Kamal Muhumatul Ifadah Ifadah Nur Ariesanto Ramdhan Nur Ariesanto Ramdhan Otong Saeful Bachri R.M.Herdian Bhakti Robert Rizki Yono Roby Setiabudi Sarah Hasan Sri Yulianti Stifada Nurul Hayati Trisena Pramuja Ubaedilah Ubaedillah Ubaedillah Ubaedillah Ubaedillah Wildan F. Abdillah