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All Journal Jurnal Masyarakat Informatika Adimas : Jurnal Pengabdian Kepada Masyarakat
Gus Nanang Syaifuddiin
Politeknik Negeri Madiun
Computer Science & IT Social Sciences

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Machine Learning untuk Prediksi Kegagalan Mesin dalam Predictive Maintenance System Nisa'ul Hafidhoh; Ardian Prima Atmaja; Gus Nanang Syaifuddiin; Ikhwan Baidlowi Sumafta; Salva Mahardhika Pratama; Hafsah Nur Khasanah
Jurnal Masyarakat Informatika Vol 15, No 1 (2024): May 2024
Publisher : Department of Informatics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmasif.15.1.63641

Abstract

In facing the Industrial Revolution 4.0, technologies such as the Internet of Things, Big Data and Artificial Intelligence are key to industrial modernization. Machine Learning approach as a part of artificial intelligence is used to process high-dimensional multivariable data and extract hidden relationships in complex industrial environments. In this research, Machine Learning is used to classify machine failures in building a Predictive Maintenance System. This research adopts the CRISP-DM (Cross Industry Standard Process for Data Mining) cycle which consists of the business understanding, data understanding, data preparation, modeling, evaluation and deployment stages. The Predictive Maintenance Dataset in the form of synthetic data used in this research reflects real industrial situations consists of 10,000 rows of data with ten features. Types of machine failure are classified into Heat Dissipation Failure, Power Failure, Overstrain Failure, and Tool Wear Failure. Exploratory Data Analysis is carried out to obtain a summary and visualization of data. The machine learning approach uses the Logistic Regression method and the model evaluation results reach an accuracy of 96.87%, in accordance with the data success criteria. The results of the machine learning modelling developed are implemented in a web-based Predictive Maintenance System application to make it easier for users to monitor machine conditions and predict machine failures.
IMPLEMENTASI CLOSED CIRCUIT TELEVISION UNTUK PENINGKATAN KEAMANAN PERUMAHAN GRIYA SALAK MADIUN Nisaul Hafidhoh; Susilo Veri Yulianto; Muhammad Syaeful Fajar; Gus Nanang Syaifuddiin; Hendrik Kusbandono; Bayu Prasetiyo Utomo; Zidni Zidan Mahestra Setyawan; Nabila Carrissa Dewi
ADIMAS Jurnal Pengabdian Kepada Masyarakat Vol 10 No 1 (2026): Maret 2026
Publisher : Universitas Muhammadiyah Ponorogo

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Abstract

Neighborhood security is a key factor in creating a good quality of life in residential areas. Cases of theft, vandalism, and even inconvenience caused by unknown visitors frequently pose a threat to the community. This situation demands a more effective and responsive surveillance system in residential areas. Traditional surveillance methods, such as patrols or manual security, often experience various limitations, both in terms of human resources, operational time, and coverage area. This activity aims to improve neighborhood security through the implementation of a Closed Circuit Television (CCTV) system in the Griya Salak Housing Complex, Madiun City. The implementation method includes a needs analysis, CCTV network design with a hybrid topology, device installation including IP cameras and Network Video Recorders (NVRs), and system usage training for residents. The results of the activity show an increase in surveillance effectiveness and a sense of security for residents, as well as increased community participation in the management of the technology-based security system. The implementation of this CCTV system is expected to become a model for digital security that can be replicated in other residential areas.
Co-Authors Ardian Prima Atmaja Bayu Prasetiyo Utomo Hafsah Nur Khasanah Hendrik Kusbandono Ikhwan Baidlowi Sumafta Muhammad Syaeful Fajar Nabila Carrissa Dewi Nisa'ul Hafidhoh Nisaul Hafidhoh Salva Mahardhika Pratama Susilo Veri Yulianto Zidni Zidan Mahestra Setyawan