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All Journal Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Malikussaleh Mengabdi
Rio Setiawan
Universitas Malikussaleh
Religion Humanities Computer Science & IT Environmental Science Library & Information Science Social Sciences Other

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Research Article Prediksi Harga Daging Sapi Menggunakan Regresi Linear Berganda Rio Setiawan; Ajuirai Ajuirai; Rifqy Azka R; Arnawan Hasibuan; Rizky Putra Fhonna
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 4 No. 3 (2025): September 2025
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v4i3.223

Abstract

Beef prices in the market tend to experience unpredictable changes influenced by various factors, such as consumer demand and feed costs. This instability can make it difficult for business actors and farmers to determine the right pricing strategy. This study aims to build a beef price prediction system using the multiple linear regression method with input variables in the form of the amount of demand and feed costs. Data were obtained from the National Food Price Panel and processed using a statistical approach to form a predictive model. The Root Mean Square Error (RMSE) value is used as an indicator of model accuracy. The model results are then implemented into a website-based application using the PHP programming language and MySQL database. This application allows users to enter input data and get real-time price prediction results. With this system, it is expected to help farmers, traders, and policy makers in making more accurate and efficient decisions based on historical data. This system can also be further developed by adding other related variables to increase the level of accuracy of beef price predictions.
Transformasi Pertanian Padi Berbasis IoT dan Edukasi Petani: Solusi Pengendalian Hama Burung dan Monyet Liar di Desa Pulo Aceh Utara Rahma Fitria; Habib Muharry Yusdartono; Muttakin; Annisa Karima; Rio Setiawan; Ibrahim Yusuf Rambe
Jurnal Malikussaleh Mengabdi Vol. 5 No. 1 (2026): Jurnal Malikussaleh Mengabdi, Januari 2026
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v5i1.25087

Abstract

Serangan Hama burung pipit dan monyet dilahan sawah mengakibatkan kerugian hasil panen yang signifikan. Selama ini, petani masih menggunakan metode tradisional seperti orang-orangan sawah dan bunyi-bunyian manual untuk mengusir hama, namun cara tersebut kurang efektif dalam jangka panjang. Serangan burung pipit mengakibatkan penurunan hasil panen hingga 50% sehingga tim pengabdian mengimplementasikan alat pengusir hama berbasis Internet of Things (IoT) yang dapat dipantau melalui perangkat Android yang telah dibuat. Alat ini menggunakan sensor ultrasonik untuk mendeteksi pergerakan hama yang dapat menjangkau area sawah yang sulit diawasi secara langsung. Pelaksanaan kegiatan meliputi implementasi alat, pelatihan penggunaan alat bagi kelompok tani, serta pendampingan lapangan selama masa uji coba. Hasil kegiatan menunjukkan bahwa penerapan alat IoT ini mampu mengurangi serangan hama hingga 70% dibandingkan metode manual sebelumnya. Selain itu, pemahaman petani terhadap teknologi tepat guna meningkat, terlihat dari kemampuan mereka dalam mengoperasikan serta merawat alat secara mandiri.
Co-Authors Ajuirai Ajuirai Annisa Karima Arnawan Hasibuan Habib Muharry Yusdartono Ibrahim Yusuf Rambe Muttakin Rahma Fitria Rifqy Azka R Rizky Putra Fhonna