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All Journal Jurnal Mnemonic Buana Informatika
Furqan Ramadhan, Rizal
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences Other

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IMPLEMENTASI METODE FUZZY SUGENO PADA PEMODELAN PERTUMBUHAN TANAMAN KEDELAI DENGAN VARIASI DOSIS PUPUK Furqan Ramadhan, Rizal; Eliyen, Kunti
Jurnal Mnemonic Vol 6 No 1 (2023): Mnemonic Vol. 6 No. 1
Publisher : Teknik Informatika, Institut Teknologi Nasional malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/mnemonic.v6i1.5831

Abstract

Pertanian merupakan salah satu bidang profesi masyarakat khususnya di Indonesia. Pertanian merupakan kegiatan yang mampu menghasilkan kebutuhan pokok manusia yakni kebutuhan pangan. Salah satu tanaman yang cukup dikenal oleh kalangan petani di Indonesia adalah kedelai. Tanaman yang bagus tentunya didukung dengan pemberian pupuk yang bagus baik pupuk alami maupun pupuk buatan. Era saat ini dengan dukungan perkembangan teknologi informasi yang cukup pesat kegiatan pertanian bisa dimodelkan menggunakan sebuah aplikasi sehingga para petani mampu mengetahui terlebih dahulu hasil dari tanaman sebelum dilakukan proses penanaman maupun pemberian pupuk. Pada penelitian ini objek tanamannya adalah kedelai jenis kaba sedangkan jenis pupuk sebagai variabel adalah NPK dan pupuk kandang. Metode Fuzzy Sugeno menghasilkan 9 aturan atau rule yang digunakan untuk meramalkan perkembangan tanaman kedelai berdasarkan pemberian dosis pupuk yang berbeda. Aturan yang dihasilkan metode Fuzzy Sugeno merupakan bentuk inovasi dari kecerdasan buatan yang dapat diimplementasikan pada sistem pemodelan atau peramalan. Untuk mengukur perbandingan hasil pemodelan atau peramalan tanaman kedelai digunakan metode Mean Absolute Percentage Error (MAPE) yang menghasilkan jumlah rata-rata error adalah 14,9 % sehingga bisa dikatakan metode fuzzy Sugeno dapat menerapkan pemodelan tanaman kedelai sesuai dengan kondisi di lapangan.
FRAMEWORK FOR OPTIMIZING ORGANIZATIONAL DATA MANAGEMENT VIA WEB-BASED SYSTEMS AND RELATIONAL DATABASES: EMPIRICAL INSIGHTS FROM SMES AND PUBLIC LIBRARIES awalliyah, siti_; Furqan Ramadhan, Rizal; Rusmanysah, Iyus; Lisnawati, Tuti
Buana Informatika Vol 15 No 1 (2025): Buana Informatika
Publisher : LPPM AMIK CBI Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53918/bi.v15i1.120

Abstract

This research aims to design and evaluate an information system or technology-based application specifically developed to enhance efficiency and accuracy in data management. In today’s rapidly evolving digital landscape, organizations face increasing demands for reliable, high-performance systems capable of managing complex datasets with precision and speed. To meet these demands, this study focuses on the creation of a robust system that not only fulfills functional requirements but also ensures optimal performance, user-friendliness, and scalability for potential integration into various operational environments. The system was developed through a structured and systematic methodological approach, encompassing key stages in the software development lifecycle. These stages included comprehensive requirement analysis, conceptualization and design of the system architecture, implementation of modular components, and rigorous testing of both functionality and overall system performance. Each phase was carried out iteratively to ensure alignment with end-user expectations and to identify and mitigate potential issues early in the development cycle. This phased methodology contributed significantly to minimizing errors during deployment and ensured that the final product met all specified performance benchmarks. The data used in this study were collected through simulations and real-world usage scenarios to ensure high validity and reliability in practical implementation contexts. Simulated data allowed for.
Co-Authors awalliyah, siti_ Eliyen, Kunti Lisnawati, Tuti Rusmanysah, Iyus