Article Per Year (5 Year)
p-Index From 2021 - 2026
3.265
P-Index
This Author published in this journals
All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Journal of Local Government Issues MANAJEMEN DEWANTARA Jurnal Ilmiah Kesehatan Indo-MathEdu Intellectuals Journal Procedia of Social Sciences and Humanities ASEAN Social Work Journal JOURMICS : Journal of Media and Communication Studies Shoutika: Jurnal Komunikasi dan Dakwah (JUMPER) Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif Paramacitra : Jurnal Pengabdian Masyarakat Jurnal Kesehatan Masyarakat Perkotaan Mammiri: Jurnal Pengabdian Masyarakat AbdiMuh: Jurnal Pengabdian Masyarakat
muhtar
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Social Sciences Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
Design and Construction of a Digital Microscope for Automatically Counting Escherichia Coli Bacteria Using Artificial Intelligence (AI) Ruhyana, Lili; Muhtar; Gunawan; Legowo, Danang Kristioko; Firman, Abdul
Jurnal Kesehatan Masyarakat Perkotaan Vol. 5 No. 2 (2025): Jurnal Kesehatan Masyarakat Perkotaan
Publisher : LPPM Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jkmp.v5i2.3239

Abstract

Detection and counting of Escherichia coli (E. coli) bacteria is an important indicator in assessing water quality and food safety, particularly in the field of environmental health. Conventional methods still require a long time, skilled personnel, and have the potential to cause subjectivity in microscopic observations. This study aims to design and build a digital microscope system equipped with an automatic bacterial counting system based on Artificial Intelligence (AI). The use of this technology is expected to accelerate microbiological analysis, improve detection accuracy, and reduce subjectivity in the manual counting process. The study was conducted using an experimental approach with the System Development Life Cycle (SDLC) method. The dataset consists of 3,011 bacterial images divided into 74% training data, 13% validation data, and 13% test data. The object detection model uses YOLOv11 integrated with Roboflow for annotation and dataset management. Test results show that the model achieved a detection accuracy of 94.1% on the test data, indicating good performance in identifying and counting E. coli colonies. The system is also equipped with a Streamlit-based interface to facilitate users in visualizing detection results in real-time. Thus, the design of this AI-based digital microscope can be an effective and efficient solution to accelerate and improve the accuracy of microbiological analysis, especially in the detection of E. coli bacteria in the fields of environmental health and food safety.
Recent Trends in Technology Research for Election Surveillance During 2014-2024: A Systematic Review Wance, Marno; Muhtar; Herizal; Mutijima, Pacifique
Journal of Local Government Issues Vol. 8 No. 2 (2025): September
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/logos.v8i2.41545

Abstract

This study examines trends in publications on election monitoring technology from 2014 to 2025, utilizing data from the Scopus database. The PRISMA research method is a structured research approach that analyzes data through a series of diagrams. Through the stages of identification, screening, eligibility, and verification, 181 publication documents were found to be usable in the study. The research findings show that the highest number of publications occurred in 2014 with 32 and in 2023 with 23, while a decrease in the number of publications over the 12 years occurred in 2015 with 7 documents and in 2016 with 8 publications. The aspects of publication contributions based on the most countries were, in order, the United States, Indonesia, India, and China, which were the largest contributors with the most publications. The research studies that were often conducted explored issues of the impact of technology, election fraud, and the transparency of election administration. The research findings contributed 80 documents in the field of computer science, 69 documents in social science, and 69 documents in engineering. Contributions in the field of Computer Science focus on research related to information technology and data security. Contributions in terms of document types include 67 articles, 62 conference papers, and 17 book chapters. The novelty of this research lies in reinforcing recent studies on the use of technology to enhance transparency and fairness in elections. Additionally, researchers suggest the need for studies on information technology systems that can support electronic voting processes.
Co-Authors Achmadi Jayaputra, Achmadi Aina Nurdiyanti Ainurrokhmah, Maghda fauzia Alan Zulhijah Ana Fitrotun Nisa Arsad Azis, Suandi Bambang Pudjianto Dahri, Muh Ilhamuddin Danang Apriliyanto Dewi, Erlita Khrisinta Dwiyanti, Damra Elly Sukmanasa Fathiyah Firman Firman, Abdul Firmansyah Gigih Adilla Ayuningtyas Gunawan Habibullah Hidayat Irfan Syafar Jeffriansyah Dwi Sahputra Amory JUMARLIS, MILA Kumalasari, Intan Legowo, Danang Kristioko Lie, Lili Ruhyana Lili Ruhyana Mahendra, Aditya Ryan Mansyur, Firman Alamsyah Mega Fatimah Rosana Muammar MUH. KHAEDIR Muhamad Harsono Muliana Mulyatno Mutijima, Pacifique Nurharsya Khaer Hanafie Pujitresnani, Arierta Putri Ulfa Kamalia Samsudin, Muchamad Syamsul Arifin Wahyudi AR, Nirwan Wance, Marno Waty, Nasrah WIDIANTO Yani, Syahrul Abidin A. Yaumi