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Penerapan Business Logic Component dalam aplikasi penjualan dan edukasi produk hidroponik berbasis mobile Mulyani, Esti; Bunga, Munengsih Sari; Gozali, Ahmad Lubis; Nurhanudin, Aldi; Udin, Sahrul Fazri
Journal of Information System and Application Development Vol. 1 No. 2 (2023): September 2023
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jisad.v1i2.11065

Abstract

In advanced technology and internet era, daily activities such as shopping, working, studying, and communicatingbecame more efficient and faster. This provides a great opportunity to improve the quality of life and the development of the mind. However, there are challenges faced by hydroponic farmers in expanding market reach and raising awareness about hydroponics in the community. The main problem is the lack of education about hydroponics among the public. In addition, the creation of applications is often complicated, difficult to set up, and difficult to test. However, with BLoC state management, we can separate the appearance and logic of the app, make the code easier to understand, and improve the quality of the app. The software development method used in this research is waterfall. The result was application that provides various educational features, including videos, articles, recipes, and interactive quizzes. This quiz helps users test their knowledge about the health benefits of vegetables and fruit, while the recipe feature provides information about ingredients and how they are prepared. Results from questionnaire testing showed that 91% of respondents found the app useful. With this high level of satisfaction, it can be concluded that this application is very useful for users.
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The increasing amount of household waste presents a major environmental challenge, worsened by inefficient and outdated waste management practices.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.
Book Classification System Based on Dewey Decimal Classification by Multinomial Naïve Bayes Method Mulyani, Esti; Bunga, Munengsih Sari; Ishlakhuddin, Fauzan; Kastuti, Kastuti
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol15iss3pp252-258

Abstract

Libraries have the main task of processing library materials by classifying books according to certain methods. Dewey Decimal Classification (DDC) is the most widely used method in the world to determine book classification in libraries. However, the classification process using DDC is inefficient because it takes a long time for the large number of books in the library. This is a serious problem experienced by all libraries, so a solution is needed to bridge the problem. automatic classification system can be the right alternative to overcome the problem. In this research, an automatic classification system based on DDC using the Multinomial Naive Bayes Method so that it can speed up the classification process. This system was created using the CodeIgniter framework with the PHP programming language and MariaDB. Test results from 100 training data and 30 test data show that there are 24 test data with correct classification results and 6 test data with incorrect classification results. So it can be concluded that the accuracy rate of the test is 80%.