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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer Scientific Journal of Informatics Journal of Information Technology and Computer Science (JOINTECS) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer KOMPUTA : Jurnal Ilmiah Komputer dan Informatika JSAI (Journal Scientific and Applied Informatics) Buletin Ilmiah Sarjana Teknik Elektro Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknologi Sistem Informasi Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Teknologi (IKOMTI) SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia
Imam Ahmad Ashari, Imam Ahmad
Universitas Harapan Bangsa
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Diskusi dan Demonstrasi Sistem Monitoring Tukang Parkir Liar Berbasis Computer Vision bersama Dinas Perhubungan dan Koordinator Parkir Kabupaten Banyumas Ashari, Imam Ahmad; Hidayat, Rachman; Wulandari, Annastasya Nabila Elsa; Arkananta, Edgina Rangga; Trivilia, Indah
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1392

Abstract

The issue of illegal parking in Banyumas Regency has caused negative impacts such as traffic congestion, road user inconvenience, and disruption of traffic order. To support enforcement efforts, a technology-based solution capable of real-time monitoring is required. This community service activity aims to introduce and discuss an illegal parking monitoring system based on Computer Vision in collaboration with the Department of Transportation and regional parking coordinators in Banyumas. The implementation method includes system concept presentations, technology demonstrations, and discussion forums to gather input related to technical needs and field policy considerations. The results of the activity indicate interest from the Department of Transportation and parking coordinators in utilizing this technology, particularly in supporting the effectiveness of supervision and the enforcement of parking regulations. This activity is expected to serve as an initial step toward collaboration between academia and local government in applying smart technology to improve order, safety, and convenience in Banyumas Regency.
Design and Construction of a Mobile-Based IoT System for Fall Risk Monitoring in Stroke Rehabilitation Patients Husna, Aqmal Miftahul; Sandi, Arif Setia; Ashari, Imam Ahmad
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1408

Abstract

Stroke rehabilitation patients have a high risk of falling, requiring continuous supervision to ensure safety and support the recovery process. This research aims to design and build a mobile-based Internet of Things (IoT) system to monitor patients' fall risk in real-time. The system utilizes a wearable device integrated with an ESP32-C3 microcontroller, an Inertial Measurement Unit (IMU) MPU-6050 sensor, and a BMP280 pressure sensor to acquire patient movement and altitude data. This data is transmitted via Bluetooth Low Energy (BLE) to a mobile application to be analyzed using a fall detection algorithm. The analysis results are displayed on the application interface as a risk status, activity graphs, and alert notifications if a potential fall is detected. The resulting design demonstrates that this system is effective in assisting caregivers to comprehensively monitor the patient's condition. Through accurate and responsive monitoring, this system is expected to enhance patient safety during rehabilitation and provide useful historical data for medical personnel.
Implementasi Market Basket Analysis dengan Algoritma Apriori untuk Analisis Pendapatan Usaha Retail Imam Ahmad Ashari; Anggit Wirasto; Deny Nugroho Triwibowo; Purwono Purwono
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 3 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i3.1439

Abstract

Pada era teknologi sekarang hampir semua bisnis ritel sudah menggunakan teknologi Point of Sale (PoS), dimana semua transaksi di rekap dalam sebuah database sistem. Data yang disimpan di dalam database dapat diolah untuk meningkatkan penjualan. Dengan mengetahui asosiasi data penjualan, aplikasi dapat memberikan rekomendasi produk yang memungkinkan pelanggan untuk membeli rekomendasi produk tersebut. Tujuan dari penelitian ini adalah mengetahui pola asosiasi yang terdapat pada sebuah toko yang sudah menerapkan teknologi PoS. Apabila pola asosiasi tersebut membentuk keterhubungan produk yang relevan dan mendatangkan keuntungan lebih maka metode yang di usulkan akan di terapkan pada aplikasi toko. Algoritma Apriori dapat menemukan pola hubungan produk antar satu atau lebih item dalam suatu dataset. Hanya saja Algoritma Apriori memiliki kelemahan dalam performa. Penerapan algoritma apriori dapat memperlambat akses transaksi, sehingga perlu pengkajian lebih dalam tentang kebermanfaatan pola asosiasi ini. Pada penelitian ini pola asosiasi dianalisis apakah berpengaruh terhadap peningkatan penjualan. Dalam penelitian ini didapatkan bahwa pola asosiasi memiliki peran penting dalam peningkatan penjualan. Didapatkan rata - rata asosiasi dengan nilai confidence tertinggi terjadi pada bulan maret, yaitu 0.61 dengan nilai minimal support 0.003. Hal ini sesuai dengan hasil penjualan tertinggi, yaitu sebesar Rp. 295.509.934 pada bulan maret, tahun 2021. Berdasarkan penelitian ini maka penggunaan algoritma apriori pada aplikasi POS perlu diterapkan.
Implementasi dan Evaluasi Kinerja Sistem IoT Multi-Sensor Berbasis ESP32 untuk Pemantauan dan Peringatan Dini Lingkungan secara Real-Time Arif Setia Sandi Ariyanto; Deny Nugroho Triwibowo; Imam Ahmad Ashari; Rito Cipta Sigitta Haryono
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9861

Abstract

Real-time environmental monitoring has become increasingly important due to growing urban and industrial activities that affect air quality, noise levels, and physical environmental stability. However, many existing monitoring systems remain relatively expensive, lack portability, and are limited to passive monitoring functions without clear performance evaluation. This study aims to implement and evaluate the performance of an Internet of Things (IoT)-based multi-sensor environmental monitoring system integrated with a mobile application and real-time early warning features. The system is developed using an ESP32 microcontroller connected to DHT22, MQ135, SW-420, and KY-037 sensors to monitor temperature, humidity, air quality, vibration, and noise levels. Sensor data are transmitted to a server via a RESTful API, stored in a MySQL database, and visualized in real time through a Flutter-based mobile application. The research adopts a Research and Development (R&D) approach, encompassing requirement analysis, system design, implementation, integration, and functional testing. The experimental results indicate that the system can transmit multi-sensor data reliably with low response time, present environmental information in real time, and consistently deliver early warning notifications when environmental parameters exceed the defined threshold values. This study contributes by providing a practical and replicable performance evaluation of an IoT-based multi-sensor system suitable for small-scale environmental monitoring.
Co-Authors Adi Wibowo Alamsyah - Alan Bayu Aji Anggit Wirasto Ardianto, Rian Arfianto, Irfan Arif Setia Sandi A. Arkananta, Edgina Rangga Azkiyatun Nadroh Bambang Sumantri, R Bagus Deny Nugroho Triwibowo Diani Romiati Farida Istiningrum Handayani, Oktavia Putri Hidayat, Rachman Husna, Aqmal Miftahul Iis Setyawan Mangku Negara Indriyanto, Jatmiko Irfan Arfianto Khoirun Nisa Kiki Alfaini Nurrizki Mangku Negara, Iis Setiawan Much Aziz Muslim Nisa', Khoriun Pradestya Bima Arweina Purwono Purwono Purwono, Purwono Purwono, Purwono Retno Agus Setiawan Rito Cipta Sigitta Haryono S.Pd. M Kes I Ketut Sudiana . Setiawan, Retno Agus Trivilia, Indah Wahyul Amien Syafei Wulandari, Annastasya Nabila Elsa Yusuf Fadlila Rahman