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Journal : JURNAL SISTEM INFORMASI BISNIS

Sistem Informasi Forecasting Produksi Padi Menggunakan Metode Least Square Fikri, Moh Ali; Ghozali, Ahmad Lubis; Darsih, Darsih
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp81-88

Abstract

Agriculture has an important role in the commodity sector of the Indonesian people's economy. Indonesia is an agricultural country with extensive agricultural land. So it is truly ironic that Indonesia, as an agricultural country, has to import several basic food ingredients from abroad. Rice production data from year to year has decreased in Indonesia. If the decline in rice production continues in the future, Indonesia will not be able to cope with the increasing food needs of the people. More than 90% of the rice consumed by Indonesian people is self-produced. About 95% of this production is produced from rice fields. Indonesia's land area and territory are so large, a strategic step is needed that can overcome the problem of decreasing rice production. One step that can be taken is to mitigate rice production data by being able to read the data and process it into an appropriate source of information. One of the methods used is applying parameter estimation in regression analysis based on minimizing the sum of squares of the residuals created in the results of each individual equation, namely least squares. The data processed is rice harvest area, production and productivity by province in 2018-2020 and 2019-2023. The creation of the information system uses the PHP programming language version 8.2.4 which runs on the Apache 2.0 web server and the php-ml library. The research resulted in a forecast for rice production in 2024 of 52,676,827 tons, in 2025 of 51,936,919 tons, and in 2026 of 51,197,011 tons. Forecasting accuracy using the least squares method is very good with a MAPE value of 1.93%.
Implementation of Project Management in the Development of an Android-Based Household Waste Monitoring System using JIRA Software Bunga, Munengsih Sari; Gernowo, Rahmat; Ishlakhuddin, Fauzan; Mulyani, Esti; Fikri, Moh Ali; Rosyalia, Syofi
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp204-210

Abstract

The increasing amount of household waste presents a major environmental challenge, worsened by inefficient and outdated waste management practices. Traditional systems lack real-time monitoring and responsiveness, creating a gap in timely waste management. This research introduces a creative solution through the development of an Android-based Household Waste Monitoring System, integrating Internet of Things (IoT) technology to provide real-time data on waste bin capacities and immediate notifications. Unlike conventional approaches, this system creatively bridges the gap by enabling proactive waste management through instant alerts and real-time tracking, allowing users to act before issues escalate. The system development follows an Agile/Scrum framework, fostering rapid iteration and user-driven enhancements. Through the innovative application of IoT and Agile methodologies with JIRA Software, this solution effectively addresses the inefficiencies of current waste management systems, as evidenced by an 80% success rate across five testing activities. This creative approach not only improves development efficiency but also accelerates adaptability in response to evolving waste management needs.