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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jupiter Coding: Jurnal Komputer dan Aplikasi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Journal of Electrical Technology Linguista: Jurnal Ilmiah Bahasa, Sastra, dan Pembelajarannya BULETIN AL-RIBAATH JURIKOM (Jurnal Riset Komputer) Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Informatika dan Rekayasa Perangkat Lunak Bulletin of Computer Science Research Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Mekongga: Jurnal Pengabdian Masyarakat
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Universitas Tanjungpura
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Otomatisasi Pengontrolan Kualitas Air Pada Akuarium Ikan Arwana Berbasis IOT Menggunakan Logika Fuzzy Tsukamoto Ade Muhamad Nurhadi; Dwi Marisa Midyanti; Suhardi Suhardi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.6947

Abstract

Arowana fish is an ornamental fish that has a beautiful body shape and color that makes it have a high price, and requires excellent care. The quality of the water in the aquarium must be maintained so that the Arowana fish are not stressed, sick, or die. However, many Arowana owners do not monitor water conditions closely. Therefore, a system is needed that can monitor the state of the aquarium environment, including automatic and manual water changes from the website. In this study using Arduino uno as a microcontroller connected to a pH and turbidity sensor, then NodeMCU ESP32 was used to send data to the internet and to perform the calculation process of Tsukamoto's fuzzy logic. The test results obtained an average accuracy on pH sensors of 96.62%, on turbidity sensors an average accuracy of 92.84%, on ultrasonic sensors an average accuracy of 99.62%. The system also tested Tsukamoto's fuzzy logic where the results were fuzzy with an accuracy of 83%. Testing of the system as a whole was carried out for 4 days. From the tests carried out, the average water pH per day results are 7.1 and turbidity of 18 NTU and all water quality conditions can be met according to the desired output using 9 rule bases.
Rancang Bangun Sistem Kendali Kondisi Air Nutrisi Hidroponik Menggunakan Metode Forward Chaining Cani Cani; Irma Nirmala; Suhardi Suhardi
JET (Journal of Electrical Technology) Vol 11, No 1 (2026): EDISI FEBRUARI
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i1.13244

Abstract

Pertanian hidroponik membutuhkan pemantauan dan pengendalian kondisi air nutrisi secara konsisten agar tanaman dapat tumbuh dengan optimal. Penelitian ini merancang dan mengimplementasikan sistem kendali otomatis kondisi air nutrisi pada instalasi hidroponik menggunakan metode forward chaining berbasis sistem pakar. Sistem memantau tiga parameter kondisi air secara serentak: kadar nutrisi (Total Dissolved Solids/TDS dalam satuan ppm), tingkat keasaman (pH), dan suhu air. Pengendalian dilakukan melalui tujuh aktuator yang diaktifkan berdasarkan 27 aturan forward chaining yang disusun melalui konsultasi dengan dua pakar hidroponik dan satu pakar pertanian. Arsitektur sistem menggunakan dua mikrokontroler dengan tugas terpisah: Arduino Uno menangani pembacaan sensor secara analog, sementara NodeMCU ESP32 menjalankan mesin inferensi forward chaining dan mengendalikan aktuator. Kontribusi utama penelitian ini adalah integrasi regulasi suhu aktif menggunakan modul peltier dan pemanas yang dikendalikan sepenuhnya oleh basis pengetahuan forward chaining—aspek yang belum ditangani pada sistem kendali hidroponik berbasis forward chaining sebelumnya. Pengujian akurasi sensor menghasilkan rata-rata 99,47% untuk sensor TDS, 96,85% untuk sensor pH, dan 97,35% untuk sensor suhu DS18B20. Validasi metode forward chaining terhadap seluruh 27 rule menghasilkan akurasi 100%.
Rancang Bangun Sistem Kendali Kondisi Air Nutrisi Hidroponik Menggunakan Metode Forward Chaining Cani Cani; Irma Nirmala; Suhardi Suhardi
JET (Journal of Electrical Technology) Vol 11, No 1 (2026): EDISI FEBRUARI
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i1.13244

Abstract

Pertanian hidroponik membutuhkan pemantauan dan pengendalian kondisi air nutrisi secara konsisten agar tanaman dapat tumbuh dengan optimal. Penelitian ini merancang dan mengimplementasikan sistem kendali otomatis kondisi air nutrisi pada instalasi hidroponik menggunakan metode forward chaining berbasis sistem pakar. Sistem memantau tiga parameter kondisi air secara serentak: kadar nutrisi (Total Dissolved Solids/TDS dalam satuan ppm), tingkat keasaman (pH), dan suhu air. Pengendalian dilakukan melalui tujuh aktuator yang diaktifkan berdasarkan 27 aturan forward chaining yang disusun melalui konsultasi dengan dua pakar hidroponik dan satu pakar pertanian. Arsitektur sistem menggunakan dua mikrokontroler dengan tugas terpisah: Arduino Uno menangani pembacaan sensor secara analog, sementara NodeMCU ESP32 menjalankan mesin inferensi forward chaining dan mengendalikan aktuator. Kontribusi utama penelitian ini adalah integrasi regulasi suhu aktif menggunakan modul peltier dan pemanas yang dikendalikan sepenuhnya oleh basis pengetahuan forward chaining—aspek yang belum ditangani pada sistem kendali hidroponik berbasis forward chaining sebelumnya. Pengujian akurasi sensor menghasilkan rata-rata 99,47% untuk sensor TDS, 96,85% untuk sensor pH, dan 97,35% untuk sensor suhu DS18B20. Validasi metode forward chaining terhadap seluruh 27 rule menghasilkan akurasi 100%.
Introduction and Implementation of the Internet of Things for Students Vocational High School 1 Punggur Besar Hirzen Hasfani; Uray Ristian; Hafiz Muhardi; Kasliono; Cucu Suhey; Tedy Rismawan; Ikhwan Ruslianto; Rahmi Hidayati; Syamsul Bahri; Dwi Marisa Midyanti; Irma Nirmala; Suhardi; Kartika Sari
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2026): April 2026
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v3i1.265

Abstract

The training program “Introduction and Implementation of IoT” at Vocational High School(VHS) 1 Punggur Besar aims to enhance students’ understanding and practical skills in developing IoT-based systems. The training introduces key IoT concepts, components such as sensors, actuators, and microcontrollers, and how devices communicate via the internet. Through hands-on sessions, students create simple projects like temperature and humidity monitoring systems, smart lighting, and sensor-based notifications. This program helps students build technical competence in hardware assembly and IoT programming while fostering creativity and problem-solving abilities. As a result, students gain better readiness to face industrial demands that rely on digital technologies and are encouraged to innovate in applying IoT to real-world challenges.
Sistem Penentuan Kelayakan Minyak Jelantah Menggunakan Metode Naïve Bayes Irmina Rika; Suhardi Suhardi; Rahmi Hidayati
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 18 No 1 (2026): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18168112

Abstract

Used cooking oil is cooking oil that has been used repeatedly, causing its quality to deteriorate and potentially harm human health. Many people continue to use used cooking oil due to cost-saving considerations and the difficulty of directly assessing its quality. Therefore, a system capable of determining the suitability of used cooking oil is needed. This research aims to classify the suitability of used cooking oil based on clarity, viscosity, and color parameters using the Naïve Bayes method. The classification system utilizes an LDR sensor to detect clarity levels, a YF-S401 water flow sensor to measure viscosity, and a TCS3200 color sensor to read RGB values, with a NodeMCU ESP32 microcontroller as the processing unit. The test results show that the LDR sensor successfully detects clarity levels, the YF-S401 sensor achieves an accuracy of 97.73%, and the TCS3200 color sensor reads RGB values with accuracies of 99.85% for red, 97% for green, and 83% for blue. The dataset used in this study consists of 120 training samples and 30 test samples. The classification process using the Naïve Bayes method produced an accuracy of 96.67%, a precision of 94.74%, and a recall of 100%.
Implementasi Algoritma Prophet dengan Grid Search Hyperparameter Tuning untuk Prediksi Konsumsi Energi Listrik Berbasis IoT Suhardi Suhardi; Tedy Rismawan; Cucu Suhery; Irma Nirmala
Bulletin of Computer Science Research Vol. 6 No. 5 (2026): August 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i5.1182

Abstract

?Real-time monitoring of household electricity consumption is not yet sufficient to support adaptive energy management. Therefore, an accurate yet easily interpretable prediction capability is required. This study implements the Prophet algorithm, an additive time series model based on trend and seasonal components, as the core method for predicting daily energy consumption in an Internet of Things (IoT)-based system with per-room granularity. Data were obtained from PZEM-004T sensors and NodeMCU ESP32 modules in three rooms over 30 days, processed through a two-stage grid search procedure for model hyperparameter optimization. The evaluation results show a testing MAPE of 1.05%–2.01% across the three rooms, all falling into the highly accurate category (<10%). Furthermore, the average MAPE difference between the training and testing data reached only 0.42 percentage points, indicating good model generalization without overfitting. Component decomposition analysis reveals that the consumption pattern is dominated by a stable linear trend with a low-amplitude weekly seasonal pattern (±0.06 kWh), thereby providing a higher level of interpretability compared to black-box models. The 30-day-ahead projection yields a total estimated consumption of approximately 384 kWh (~IDR 554,817) for the three rooms, which can be utilized as a basis for budget planning and adaptive electrical load management. The main contribution of this study is a transparent and reproducible Prophet tuning procedure for per-room electricity consumption data with limited historical volume, supported by metrological validation of the acquisition sensor as an input quality assurance step, a context that has not been widely explored in prior Prophet literature
Co-Authors Ade Muhamad Nurhadi Andi Hairil Alimuddin Arie Pratama Cani Cani Cucu Suhery Cucu Suhey Dedi Triyanto Dedi Triyanto Dedi Triyanto Desyandri Desyandri Dwi Marisa Midyanti Epin Aji Farhan Fajar Luthfi Fatma Agus Setyanigsih Fatma Agus Setyaningsih Febriyanto, Ferdy Firman Saputra Hafiz Muhardi hamdi hamdi Hasanuddin Hasanuddin Hendra Perdana Hendrikus Hendrikus Hirzen Hasfani Ikhwan Ruslianto Irma Nirmala Irmina Rika Irwan Argi Himawan Kartika Sari Kasliono Kasliono L Lusi Lily Thamrin Midyanti, Hafizhah Insani Muhardi NINA RAHMADANI Nugra Zurus Pratama Rahmi Hidayati Risko, Risko Roynal Kadepi Saharman Saharman Sampe Hotlan Sitorus Syamsul Bahri Tedy Rismawan Tejo Dwi Prasetyo Tjen Veronica Uray Ristian Yakobus Dapi Yogi Ramadhan Putra Yosep Robert Yudhi