Article Per Year (5 Year)
p-Index From 2020 - 2025
0.751
P-Index
This Author published in this journals
All Journal Journal of Computer Networks, Architecture and High Performance Computing Jurnal Info Sains : Informatika dan Sains Dedikasi : Jurnal Pengabdian Lentera
Effendi, M Makmun
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Design of Mask Detection Application Using Tensorflow Lite based on Android Mobile Effendi, M Makmun; Turmudi, Ahmad; Arwan, Asep
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4329

Abstract

A mask is a type of personal protective equipment (PPE) that is essential for protecting the nose and mouth from contamination by droplets or airborne particles. The use of masks became highly popular during the Covid-19 pandemic, which began in December 2019 in China and peaked in Indonesia in 2020. Despite the pandemic subsiding and vaccinations increasing immunity, some companies still require masks to prevent the spread of illnesses such as colds and flu, especially in work processes that produce smoke, such as soldering and welding. To ensure employees comply with mask usage, effective supervision is necessary. Manual supervision is less efficient, thus a digital detection method is needed. This study developed a mask detection application using deep learning algorithms and the TensorFlow Lite framework on an Android platform. The application can detect mask usage with 100% accuracy at a distance of 1 to 5 meters. The system was tested under various lighting conditions and environments to ensure reliability. Additionally, the implementation of this technology can be extended to other public areas to ensure compliance with health protocols. This tool helps companies easily monitor and enforce mask-wearing discipline among employees, thereby enhancing workplace safety and health. Future work could explore the integration of this system with other health monitoring tools to create a comprehensive safety solution.
Implementing Internet Of Things (IOT) Technology For Real-Time Detection And Monitoring Of LPG Gas Leaks Effendi, M Makmun; Zy, Ahmad Turmudi; Sanudin, Sanudin
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Currently, LPG (Liquefied Petroleum Gas) is a vital resource for many households in Indonesia, as highlighted by the government's initiative to convert from kerosene to gas as a cooking fuel. The widespread adoption of LPG is attributed to its affordability and efficiency. However, the flammable nature of LPG poses significant risks, particularly in the event of leaks, which can lead to explosions and fires. This research aims to develop a system that monitors and detects gas leaks in real-time to prevent such hazardous incidents. The proposed system utilizes Internet of Things (IoT) technology, incorporating MQ-6 gas sensors and Raspberry Pi to detect LPG leaks. The MQ-6 sensors are capable of identifying the presence of gas, while the Raspberry Pi processes the data and sends notifications in the event of a leak. The methodology includes literature reviews, user interviews, and data analysis to design an effective monitoring system. The results indicate that the system can accurately detect gas leaks and provide real-time alerts via SMS or a mobile application. In conclusion, this study demonstrates that an IoT-based monitoring and detection system for LPG leaks can significantly enhance safety by enabling prompt responses to gas leaks. This system not only benefits users by facilitating quicker leak management but also contributes to broader safety measures in residential and commercial environments.
Evaluasi dan Penyempurnaan Sistem Informasi Benih Anggur Berbasis Web dengan Pendekatan Agile Zy, Ahmad Turmudi; Sari, Nita Winda; Effendi, M Makmun; Nugroho, Agung; Siregar, Amril Mutoi
Dedikasi: Jurnal Pengabdian Lentera Vol. 2 No. 06 (2025): Juni 2025
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/djpl.v2i06.929

Abstract

Kegiatan pengabdian ini bertujuan untuk mengevaluasi dan menyempurnakan sistem informasi benih anggur berbasis web yang telah diterapkan pada Komunitas Anggur Cikarang. Sistem ini dikembangkan dengan pendekatan Agile yang memungkinkan pengembangan iteratif dan partisipatif. Permasalahan utama yang diidentifikasi meliputi kurangnya pusat informasi terintegrasi, minimnya pemanfaatan teknologi informasi, dan jangkauan pemasaran yang terbatas. Solusi yang ditawarkan meliputi desain ulang sistem, pengembangan fitur baru berdasarkan umpan balik pengguna, serta pelatihan dan pendampingan komunitas dalam penggunaan sistem. Hasil kegiatan diharapkan dapat meningkatkan efisiensi manajemen bibit, memperluas distribusi pasar, serta mendorong pemberdayaan ekonomi masyarakat berbasis teknologi.
Pendampingan Pengembangan Sistem Informasi Bibit Anggur Berbasis Web untuk Komunitas Anggur Cikarang dengan Metode Agile Zy, Ahmad Turmudi; Pamungkas, Bagas; Dasman, Sunita; Effendi, M Makmun; Noviyanti, Rosa
Dedikasi: Jurnal Pengabdian Lentera Vol. 1 No. 11 (2024): Desember 2024
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/djpl.v1i11.1042

Abstract

Komunitas Anggur Cikarang memiliki potensi besar dalam budidaya dan penjualan bibit anggur lokal maupun impor. Namun, pengelolaan data bibit, stok, dan pemasaran masih dilakukan secara manual, sehingga informasi yang tersedia sering tidak akurat dan sulit diakses oleh anggota maupun calon pembeli. Kegiatan pengabdian ini bertujuan untuk mendampingi komunitas dalam mengembangkan Sistem Informasi Bibit Anggur berbasis web dengan metode Agile Development. Metode ini memungkinkan pengembangan sistem secara iteratif dan kolaboratif, melibatkan pengguna sejak tahap perencanaan hingga uji coba. Kegiatan meliputi analisis kebutuhan, perancangan antarmuka, pengembangan modul manajemen bibit, stok, dan transaksi, serta pelatihan penggunaan sistem. Hasilnya, komunitas memiliki sistem yang dapat menampilkan katalog bibit, mengelola stok, dan memproses pemesanan secara daring. Evaluasi menunjukkan bahwa anggota komunitas merasa sistem ini mempermudah distribusi informasi, mempercepat pelayanan, dan meningkatkan potensi pemasaran.
Co-Authors Arwan, Asep Noviyanti, Rosa Nugroho, Agung Pamungkas, Bagas Sanudin Sanudin Sari, Nita Winda Siregar, Amril Mutoi Sunita Dasman Turmudi, Ahmad Zy, Ahmad Turmudi