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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL SISTEM INFORMASI BISNIS IKRA-ITH Informatika : Jurnal Komputer dan Informatika METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Repositor Jurnal Informatika: Jurnal Pengembangan IT
Fauzan Ishlakhuddin
Politeknik Negeri Indramayu
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Engineering

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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
IoT-based Recording of Waste Types and Weights in Waste Processing System Ishlakhuddin, Fauzan; Muhamad, Fachrul Pralienka Bani; Ismantohadi, Eka; Jannah, Miftahul
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/vol15iss2pp216-220

Abstract

Effective waste management requires the separation of waste types into categories such as organic, non-organic, and recyclable. This is necessary because not all types of waste can be processed. Therefore, accurate recording of waste types and weights is crucial in waste processing. A common issue today is that waste data is still recorded manually, leading to a lack of accuracy in the records. This research aims to develop an IoT-based waste type recording tool that can accurately record the weight and type of waste by retrieving values from a scale and transmitting the data in real-time to a waste processing system. The device development method used is the prototype model. This research successfully connected to and retrieved values directly from the Sayaki T-18 digital scale, ensuring that the weight values sent to the system are more accurate. During the testing of the developed IoT device, it accurately recorded and transmitted the quantity and type of waste as specified by the user, and the data stored in the system matched the test data accurately.
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: 10.14710/vol15iss3pp344-350

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%.
Co-Authors Akbar, Muhammad Syaeful Azhari SN Basir, Azhar Eko Budi Cahyono Gilar Wisnu Hardi Hardi, Gilar Wisnu Ismantohadi, Eka Kastuti, Kastuti Miftahul Jannah Moh Ali Fikri Muhamad, Fachrul Pralienka Bani Mulyani, Esti Munengsih Sari Bunga Nugraha, Nur Budi Nur Budi Nugraha Nurlaela Nurlaela Nuryasin, Ilyas Rahmat Gernowo Rosyalia, Syofi Yaqutina Marjani Santosa