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All Journal Elkawnie Jurnal Penelitian Pendidikan IPA (JPPIPA) Cyberspace: Jurnal Pendidikan Teknologi Informasi Journal of Data Analysis Jurnal Kreativitas PKM Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal ABDINUS : Jurnal Pengabdian Nusantara Brilliance: Research of Artificial Intelligence Jurnal Transformasi Administrasi Jurnal Teknologi Terapan and Sains 4.0 Smart Techno (Smart Technology, Informatic and Technopreneurship) Statistika Buletin Pengabdian J-SIGN (Journal Of Informatics, Information System, And Artificial Intelligence) Infolitika Journal of Data Science PESARE: Science and Engineering Service Journal Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics PERFECT: Journal of Smart Algorithms
Zulfan Zulfan
Informatika, Universitas Syiah Kuala, Banda Aceh, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : perfect journal of smart algorithms

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Prototype Design and Development of an IoT-Enabled Monitoring and Control System for Public Street Lighting Ilham, Dirja Nur; Candra, Rudi Arif; Budiansyah, Arie; Zulfan, Zulfan
PERFECT: Journal of Smart Algorithms Vol. 2 No. 1 (2025): PERFECT: Journal of Smart Algorithms, Article Research January 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v2i1.53

Abstract

This research discusses the Internet of Things (IoT)-based Public Street Lighting (PJU) system to improve energy efficiency and remote monitoring. The background problem is the need to improve operational efficiency and energy savings in the PJU system. This final project aims to design and test an IoT-based PJU system that transmits real-time data between nodes and gateways using LoRa technology and the MQTT protocol. The research process involves hardware and software design, as well as system testing under various conditions. The tests measured the data transmission time and analyzed the delay using LED indicators on the gateway and dashboard devices. The test results showed significant variations in data transmission time compared to the programmed time. The programmed transmission time was 10 seconds for node 1 and 20 seconds for node 2, but the test results showed an average time of about 15 seconds for node 1 and 21.89 to 36.02 seconds for node 2. This variation is due to factors such as network communication delay, processor load, and LoRa system efficiency.
Real-Time Classification of Local Orange Fruit Quality Using YOLO (You Only Look Once) and SVM (Support Vector Machine) Methods Harahap, Muhammad Khoiruddin; Candra, Rudi Arif; Budiansyah, Arie; Aritonang, Romulo P.; Zulfan, Zulfan; Saputra, Devi Satria
PERFECT: Journal of Smart Algorithms Vol. 2 No. 2 (2025): PERFECT: Journal of Smart Algorithms, Article Research July 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v2i2.55

Abstract

Oranges are a fruit that we often encounter and are even consumed by people because of their various benefits. Oranges have commercial value in Indonesia and have a fairly wide reach. In order to increase competitiveness, oranges must also meet market standards, both domestic and foreign, so that they can be accepted by consumers. Of course, in this case, orange selection is very important. increasing sales and market competition by sellers, important indicators in selecting citrus fruit are in terms of size and color. In general, the selection of citrus fruit is done manually and based on human thinking, which causes several weaknesses that must be corrected, including requiring a long time, human visual limitations, and being influenced by human psychology itself. This is what causes inconsistencies in selection. oranges and does not comply with existing market requirements. So a research was carried out regarding the quality classification of local citrus fruit using the YOLO (You Only Look Once) and SVM (Support Vector Machine) methods in real time. In the comparison made between the two methods used, Yolo was found to be the best method for classifying citrus fruit.
Co-Authors . Melinda Abelia, Dinda Dwi Abidah Ardelia Akbar, Mufid Akbar, Said Jumadil Alim Misbullah Alim Misbullah Arie Budiansyah Aritonang, Romulo P. Asma Liza, Lia Bagestra, Ricky Candra, Rudi Arif Dewi Maya Sari Dewi Maya Sari Dewi Maya Sari Essy Harnelly Farsiah, Laina Fikrul Akhyar Ghufran S., Mufti Miadi Hanifiah, Jessy Husaini Husaini Ilham, Dirja Nur Irvanizam, Irvanizam Junidar Junidar Juwita Juwita Kikye Martiwi Sukiakhy Lestari AKA Lindawati Lindawati Lulu Huril In Marzuki Marzuki Marzuki Marzuki Marzuki Misbullah, Alim Muhammad Arif Ramadhan Muhammad Chaidir Muhammad Farhan Muhammad Iqbal Muhammad Irfan Muhammad Khoiruddin Harahap Muhammad Saifullah Nur Muhammad Subianto Muhd Iqbal Munawir Munawir Muslim Muslim Muzailin, Muzailin N. Nazaruddin Nabilah, Sausan Nahyadi, TWK. Muhammad Akbar Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazaruddin Nazhifah, Sri Azizah Nizamuddin Nizamuddin Odli Aulia Radhiah, Radhiah Rahma Zuhra Rahma Zuhra Rasudin Rasudin Rasudin Rasudin Rasudin, Rasudin Razief Perucha Fauzie Afidh Rizki, Pobi Salsabila, Raina Saputra, Devi Satria Saputra, Kurnia Simatupang, Haryulina Siti Rusdiana Souvik Das Sukiakhy Sukiakhy Tarmizi Usman Ula, Akramul Usman, Tarmizi Wira Dharma Yunardi, Dalila Husna Yuwaldi Away Zahnur Zoel Fachri Zul Akhyar