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All Journal Brilliance: Research of Artificial Intelligence JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L)
Ratna Dewi
Politeknik Negeri Padang, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mathematics Social Sciences Other

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IoT-Based Rainfall Monitoring System for Chili Farming Land Rahmadani Putri; Ratna Dewi; Silfia Rifka; Sri Nita; Andi Ahmad Dahlan
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3649

Abstract

This research focuses on the design and implementation of a rainfall monitoring system for chili pepper farms using Internet of Things (IoT) technology. The rainfall monitoring system consists of a transmitter system, a receiver system, the Thingspeak platform as a database, and a weather station application that can be accessed via a mobile device. The weather station application is built using the MIT App Inventor platform. In the testing phase, the system successfully collected data from two sensors used, namely the rainfall intensity sensor and the raindrop sensor. The test results showed that the data obtained from the rainfall intensity sensor was 0.25 inches and the raindrop sensor was 1. This result shows that there was no rain during the test. This rain intensity and raindrop data can provide farmers with an overview of the weather conditions in the chili pepper farm. So, with this rainfall monitoring system, farmers can monitor the condition of their agricultural land in real-time. The collected data can help farmers to care for chili pepper plants more effectively and adapt to environmental changes. In addition, this system is expected to increase the productivity of chili pepper farming because it uses a more precise and responsive approach to changes in environmental conditions on the chili pepper farm.
Design and Performance Analysis of GPON-Based FTTH Network in Sikucur Barat Padang Pariaman Regency Uzma Septima; Rikki Vitria; Ratna Dewi; Ramiati Ramiati; Yola Febrilla
Brilliance: Research of Artificial Intelligence Vol. 6 No. 3 (2026): Brilliance: Research of Artificial Intelligence, Article Research August 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i3.8877

Abstract

The increasing demand for internet services requires broadband infrastructure capable of providing high-capacity and reliable connectivity, including in rural areas. Nagari Sikucur Barat, Padang Pariaman Regency, requires an optical access network to support the growing communication needs of the community. This study aims to design and evaluate the performance of a Fiber To The Home (FTTH) network based on Gigabit Passive Optical Network (GPON) technology. The research applies the Prepare, Plan, Design, Implement, Operate, and Optimize (PPDIOO) methodology through geographical analysis, network planning using Google Earth Pro and AutoCAD, OptiSystem simulation, and performance evaluation based on Link Power Budget, Rise Time Budget, Q-Factor, and Bit Error Rate (BER). The proposed network serves 88 homepasses using 3 PON ports, 13 Optical Distribution Points (ODPs), 4 PLC 1:4 splitters, and 13 distribution splitters. The calculated attenuation ranges from 27.0523 dB to 27.2632 dB, with received power values between ?20.0523 dBm and ?20.2632 dBm and power margins ranging from 7.7368 dB to 7.9477 dB. Simulation results produce Q-Factor values of 12.1746 to 13.7883 and BER values of 1.49433 × 10??³ to 6.58298 × 10?³?, indicating compliance with GPON transmission quality requirements. The Rise Time Budget ranges from 0.3637 ns to 0.3712 ns, exceeding the theoretical limit of 0.29 ns. The results indicate that the proposed network is feasible for deployment because it satisfies the received power, power margin, Q-Factor, and BER requirements, while further optimization is needed to improve rise time performance.
Workshop Pembuatan Smart Lamp Berbasis Internet of Things (IoT) Bagi Siswa SMK Negeri 8 Padang Ramiati Anas; Silfia Rifka; Ratna Dewi; Lifwarda Lifwarda; Aprinal Adila
JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) Vol 2 No 1 (2024): JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L): Volume 2 Nomor 1,
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jp3l.v2i1.64

Abstract

Kegiatan Pengabdian kepada Masyarakat (PkM) yang dilaksanakan pada SMKN 8 Padang  merupakan sekolah kejuruan yang memiliki beberapa jurusan dan salah satu jurusannya adalah Teknik Jaringan Komputer dan Telekomunikasi (TJKT).  Dalam Perkembangannya sekolah ini menghadapi tantangan akan kebutuhan pemahaman teknologi yang terus berkembang sesuai dengan kebutuhan masyarakat seperti smart system dengan memanfaatkan internet of things (IoT). Pemilihan topik PkM ini didasarkan atas permintaan pihak SMKN 8 Padang.  PkM ini diberikan dalam bentuk workshop dimana siswa membuat sistem smart lamp secara berkelompok. Pada pelaksnaan PkM ini peserta berperan aktif dalam mewujudkan smart lamp dalam bentuk prototype. Sistem ini dapat dikembangkan siswa untuk   diimpelementasikan langsung dalam kehidupan sehari-hari. PkM ini dapat menyelesaikan permasalahan utama mitra yaitu meningkatkan wawasan pengetahuan, pemahaman siswa pada pemenfaatan IoT yang sesuai dengan kebutuhan dan perkembangan teknologi, serta membekali hardskills tentang implementasi IoT. Bagi Politeknik Negeri Padang (PNP), kegiatan PkM bermanfaat untuk menjadi wadah berbagi IPTEK kepada masyarakat dan lebih mengenalkan PNP ke mitra. 
Co-Authors Andi Ahmad Dahlan Aprinal Adila Lifwarda Lifwarda Rahmadani Putri Ramiati Anas Ramiati Ramiati Rikki Vitria Silfia Rifka Sri Nita Uzma Septima Yola Febrilla