Article Per Year (5 Year)
p-Index From 2021 - 2026
2.127
P-Index
This Author published in this journals
All Journal Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Community Development Journal: Jurnal Pengabdian Masyarakat Journal of System and Computer Engineering Jurnal Computer Science and Information Technology (CoSciTech) DEVICE KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Batara Wisnu : Indonesian Journal of Community Services Jurnal Sains dan Ilmu Terapan Advance Sustainable Science, Engineering and Technology (ASSET)
Masnur Masnur
Universitas Muhammadiyah Parepare
Religion Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Nursing Public Health Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Penerapan E-Commerce Untuk Pemasaran Ayam Broiler Organik Muhammadiyah (BRONIKMU) Kota Parepare Wafiah Andi; Masnur Masnur
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 5 No. 3 (2025): Mei 2025 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v5i3.702

Abstract

Permintaan terhadap produk ayam organik terus meningkat, namun strategi pemasaran komunitas peternakan kecil masih banyak bergantung pada metode konvensional yang membatasi jangkauan pasar dan efisiensi distribusi. Komunitas BRONIKMU (Broiler Organik Muhammadiyah) di Kota Parepare merupakan salah satu inisiatif berbasis keagamaan yang memiliki potensi besar untuk berkembang melalui transformasi digital. Penelitian ini bertujuan untuk menganalisis penerapan e-commerce dalam meningkatkan efektivitas pemasaran ayam broiler organik oleh komunitas BRONIKMU. Metode yang digunakan adalah pendekatan kuantitatif-deskriptif dengan pengumpulan data primer berupa volume produksi, jumlah ayam terjual, dan omset penjualan dari Januari hingga April 2025. Analisis dilakukan melalui interpretasi tren dan komparasi dengan studi relevan di bidang agribisnis digital. Hasil penelitian menunjukkan peningkatan signifikan pada seluruh indikator utama: jumlah ayam naik dari 80 menjadi 312 ekor, ayam terjual meningkat dari 25 menjadi 125 ekor, dan omset melonjak dari Rp2.125.000,- menjadi Rp10.625.000,-. Penerapan e-commerce terbukti efektif dalam memperluas akses pasar, meningkatkan efisiensi transaksi, dan memperkuat ekonomi komunitas. Implikasi dari penelitian ini menunjukkan bahwa digitalisasi pemasaran berbasis komunitas religius tidak hanya memungkinkan secara teknis, tetapi juga strategis dalam mendorong ekonomi umat yang inklusif dan berkelanjutan.
Web Server Based Electrical Control System Analysis for Smart Buildings Masnur Masnur; Syahirun Alam
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.1120

Abstract

Energy management in smart buildings still faces challenges in optimizing energy use, particularly for high-load devices, such as HVAC systems and lighting. Conventional control systems are often inadequate for optimizing energy usage based on the operational needs of the building. This study aims to develop and analyze a web server-based electrical energy control system that can be accessed in real time to improve the energy efficiency of smart buildings. This study employed a quasi-experimental method by implementing a web server-based control system in a smart building and comparing the energy consumption before and after the application of the system. The results show that the system reduces the energy consumption by up to 25%, particularly for HVAC systems and lighting. The most significant energy savings occurred during off-peak hours, when the system automatically reduced power for unnecessary devices. The implications of this research suggest that a web server-based control system not only enhances energy efficiency and reduces operational costs, but also provides greater flexibility in energy management through more adaptive and responsive remote control. This research contributes to the development of more sustainable energy management technologies for smart buildings, with wide potential applications in commercial and institutional building scenarios
Aplikasi Pengenalan Kue Tradisional Bugis Menggunakan Metode Convolutional Neural Network (CNN) Berbasis Android Rifaldi Rifaldi; Ade Hastuty; Ahmad Selao; Untung Suwardoyo; Masnur Masnur
Jurnal Sains dan Ilmu Terapan Vol. 8 No. 2 (2025): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v8i2.1151

Abstract

Traditional Bugis cakes are an important and distinctive part of Indonesian culinary culture, yet their existence is starting to erode due to globalization and a lack of proper digital documentation. The visual similarities between the cakes make manual identification difficult, especially for the younger generation who are more exposed to modern, global food trends. This study aims to develop an Android application for the automatic classification of traditional Bugis cakes using a Convolutional Neural Network (CNN). The experimental method was conducted by collecting a comprehensive dataset of cake images, training a CNN model, and evaluating its performance using a black box testing approach. This method was chosen because it yielded a validation accuracy of 97.00% and a final accuracy of 92.40%. The application can recognize cakes in real-time through a mobile phone camera, with optimal results achieved at a distance of 15–30 cm and under adequate lighting conditions. However, its performance decreases when the distance increases, objects are cut off, or lighting is poor. 
Co-Authors Ade Hastuti Ahmad Amri Ahmad Selao Andi Bidasari Absharillah Andi Wafiah Anggi Paramitha Arman Arman Astira Astira Chatarina Umbul Wahyuni Dian Megah Sari Farhan Dzulkhair Hasan Ferdiansyah Saing Hatma Hatma Hendro Widarto Jaya Mahendra Jaya Mahendra Karmil Karmil Misbahuddin Misbahuddin Mughafir Yunus Muh Rizal Syam Muhammad Farid Muhammad Hamka Muhammad Iqbal Putra Muhammad Jabir Muhammad Nurul Akbar Muhammad Rezky Rapi Muhammad Zainal Nur Ilmi Putri Handayani Putri Veronica Lestari Rifaldi Rifaldi Selmianti Selmianti Selvi Marcellia Syahirun Alam Tri Hariadi Purnomo Untung Suwardoyo Vingky Aprilia Wahyudi, Dian Wulansari Ibrahim Yuliana Yuliana Zulkifli Zulkifli