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All Journal SAMUDERA Jurnal Informatika dan Teknik Elektro Terapan e-Jurnal Arus Elektro Indonesia Sistemasi: Jurnal Sistem Informasi JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika JOURNAL OF APPLIED INFORMATICS AND COMPUTING METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Journal on Education Jurnal Informatika Kaputama (JIK) MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Community Development Journal: Jurnal Pengabdian Masyarakat Medika Teknika : Jurnal Teknik Elektromedik Indonesia Jurnal Sistem Informasi dan Sains Teknologi International Journal of Engineering, Science and Information Technology Jurnal Tika Malikussaleh Journal of Mechanical Science Technology Andalasian International Journal of Applied Science, Engineering, and Technology Jurnal Janitra Informatika dan Sistem Informasi Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Multidisiplin Madani (MUDIMA) Journal Of Human And Education (JAHE) Jurnal Sains dan Teknologi Journal of Social Interactions and Humanities (JSIH) Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Mafaza : Jurnal Pengabdian Masyarakat INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Innovative: Journal Of Social Science Research Jurnal Malikussaleh Mengabdi Jurnal Polimesin
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Design of an Internet of Things (IoT)-Based Fish Feeder System Using an Android Application Ariyandi, Zulham; Taufiq, Taufiq; Nunsina, Nunsina
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.10072

Abstract

Fish farming plays a crucial role in aquaculture, where feed management is a key factor affecting productivity and operational costs. This research presents the design and implementation of an Internet of Things (IoT)-based automatic fish feeder system, integrated with a custom Android application. The system uses an ESP32 microcontroller to control a load cell sensor for accurate feed weighing, an ultrasonic sensor to monitor feed availability, servo motors for feed release mechanisms, and a DC motor for feed dispersion. Firebase Realtime Database serves as the data communication medium between the hardware and mobile application, enabling real-time control and monitoring. A rule-based control logic is implemented to execute scheduled or manual feeding processes. Experimental results show a feed weight accuracy of ±5 grams, with feeding operations completed within 1.5 minutes and an average throw distance of 287.8 cm. The system supports automatic alerts, scheduling, feed history logging, and remote access via the application. Compared to conventional manual methods, the system reduces feed waste, increases portion accuracy, and decreases feeding time by over 75%. These features demonstrate the system’s capability to enhance feeding efficiency, reduce labor dependency, and support sustainable and scalable fish farming practices through automation and real-time monitoring.
Penerapan Model Program Belajar Bekerja Terpadu untuk Menciptakan Lapangan Kerja Nurdin, Nurdin; Taufiq, Taufiq; Maryana, Maryana; Fadlisyah, Fadlisyah
Jurnal Malikussaleh Mengabdi Vol. 4 No. 2 (2025): Jurnal Malikussaleh Mengabdi, Oktober 2025
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v4i02.24825

Abstract

Transformasi digital di era ekonomi modern menuntut integrasi yang lebih erat antara dunia pendidikan tinggi dan dunia usaha, khususnya UMKM sebagai tulang punggung perekonomian nasional. Di sisi lain, lulusan program studi sering menghadapi tantangan dalam memperoleh pengalaman kerja nyata dan peluang kerja yang sesuai kompetensi. Untuk menjawab tantangan tersebut, diperlukan suatu pendekatan kolaboratif yang mampu menjembatani kebutuhan dunia industri, terutama UMKM, dengan potensi dan kompetensi alumni perguruan tinggi. Program pengabdian ini bertujuan untuk menerapkan model Belajar Bekerja Terpadu (Work Integrated Learning) yang melibatkan alumni program studi Teknik Informatika dari desa lingkungan Universitas Malikussaleh dalam upaya menciptakan lapangan kerja sekaligus mendukung pengembangan Usaha Mikro, Kecil, dan Menengah (UMKM). Melalui kolaborasi ini, alumni tidak hanya memperoleh pengalaman kerja riil dan peningkatan kompetensi, tetapi juga berperan aktif dalam digitalisasi dan peningkatan produktivitas UMKM. Model ini dirancang untuk menjembatani kesenjangan antara dunia pendidikan dan kebutuhan industri kecil, dengan pendekatan yang berfokus pada pemecahan masalah riil di lapangan. Hasil yang diharapkan dari kegiatan ini meliputi peningkatan kemampuan kerja lulusan, terciptanya peluang usaha baru, serta transformasi digital pada UMKM mitra. Program ini sekaligus menjadi strategi konkret dalam memperkuat peran perguruan tinggi dalam pembangunan ekonomi berbasis masyarakat
Analisa Implementasi Sistem Absensi Sidik Jari Guru Min Peukan Baro Munar, Munar; Iqlima, Iqlima; Taufiq, Taufiq
Jurnal Tika Vol 8 No 1 (2023): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v8i1.1938

Abstract

The development of science in all fields in the current era of globalization is so rapid, especially in the field of Information Technology (IT) which is increasingly advancing along with user needs. Min Peukan Bada School is one of the many government agencies or schools that utilize information technology in their operational activities. One of the information technologies applied at Min Peukan Bada is attendance software using a fingerprint. The purpose of this study is to analyze the existing fingerprint system at MIN Peukan Bada which is already running. The method used in analyzing the system is how to find the standard error value and find the percentage of success from the fingerprint system that is already running. The results of the study are a desktop-based application that can be used to manage employee data and conduct training and testing of employee fingerprint images so that the final result is the percentage of success in employee fingerprint recognition at the MIN Peukan Baro school
Mapping of Flood and Landslide Prone Areas using Composite Mapping Analysis Method Based on Geographic Information System in East Aceh Maulita, Maya; Nurdin, Nurdin; Taufiq, Taufiq
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4483

Abstract

Disaster is an event that causes great losses to the community. Disasters are destructive, very detrimental, and require a long time to recover. To overcome the impact of natural disasters on the community in East Aceh Regency, research is needed related to the mapping system for multi-disaster prone areas (floods and landslides) in East Aceh Regency. The application used for the mapping process is ArcGIS Desktop and the research methodology used for mapping is Composite Mapping Analysis which consists of the process of determining the class of each parameter, determining the weight of each parameter by combining each parameter. The method of combining them consists of a scoring process for each parameter, then overlaying the parameters used, calculating and producing relative weights or spatial means, and combining spatial means to produce a value from the weight of each parameter for floods and landslides. The results of the study showed that the percentage of area for the class very prone to flood disasters was 232,156.13 Ha (42.3%), the vulnerable class had an area of 228,634.01 Ha (41.7%), and the non-vulnerable class had an area of 87,687.40 Ha (16%). The percentage of area for the class that is very vulnerable to landslides is 49,998.13 Ha (9.5%), the vulnerable class has an area of 301,863.93 Ha (57.2%), and the non-vulnerable class has an area of 175,542.56 Ha (33.3%). The contribution of this research is to provide information on disaster-prone areas, causal factors, characteristics of vulnerability to natural disasters such as floods and landslides and provide a basis for more effective decision-making in disaster mitigation and management efforts. This approach offers a new contribution to the technology of mapping and classifying disaster-prone areas.
ANALISIS PENGARUH TINGKAT AKURASI KLASIFIKASI CITRA MEBEL MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Alqhifari, Azka; Nurdin, Nurdin; Taufiq, Taufiq
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6199

Abstract

Furniture is a household necessity that serves to complement a room. The design models of furniture are varied, ranging from general or mass-market designs to those made for specific needs. Sofas, tables, chairs, swivel chairs, TV cabinets, wardrobes, beds, and bookshelves are the items analyzed in this study. The fact that there are always more and better furniture models available is one of the reasons the researcher chose these furniture items. The goal of furniture object classification is to help categorize objects automatically, making it easier for users to quickly search for the furniture products they want, and the system can recommend items based on the classification results. This study uses 3 architectures with 3 testing scenarios. The architectures used are MobileNetV1, ResNet-50, and VGGNet-19. Scenario S1 uses image dimensions of 128x128 with 50 epochs, scenario S2 uses image dimensions of 128x128 with 100 epochs, and scenario S3 uses image dimensions of 128x128 + grayscale with 50 epochs. The accuracy results are differentiated according to the scenarios used, namely S1, S2, and S3. The detailed accuracy results are as follows: Scenario S1 using the MobileNetV1 architecture achieved an accuracy of 94.31%. The highest accuracy in scenario S2 was also achieved with the MobileNetV1 architecture at 94.31%. For the highest accuracy in scenario S3, MobileNetV1 achieved an accuracy of 72.61%. The fastest computation time for S1 was 871.97 seconds, for S2 it was 1763.04 seconds, and for S3 it was 436.32 seconds. Among the three architectures used, MobileNetV1 stands out as the best architecture in terms of accuracy and classification speed in this study