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Journal of Science and Engineering
Published by CV. Akira Java Bulu
ISSN : -     EISSN : 31236561     DOI : -
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This journal is a scientific publication dedicated to the dissemination of research findings and advances in all types of engineering sciences, including civil engineering, mechanical engineering, architectural engineering, geodetic engineering, electrical engineering, biological sciences, microbiology, chemistry, astronomy, and all fields of science. This peer-reviewed journal serves as a platform for researchers, academics, and professionals to share their innovative contributions and insights in various fields. Through rigorous evaluation and publication of high-quality research papers, the journal aims to foster collaboration, exchange of ideas, and technological advancement in the field of engineering.
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Articles 3 Documents
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Search results for , issue "vol. 2 no. 2 (2026)" : 3 Documents clear
Sistem Kontrol Time Based Scheduling Menggunakan PLC Untuk Efisiensi Konsumsi Daya Listrik Pada Studio Musik. Gita Rolland Ibanez; Ayusta Lukita Wardani; Daeng Rahmatullah; As’ad Shidqy Aziz
Journal of Science and Engineering Vol. 2 No. 2 (2026)
Publisher : CV. Akira Java BUlu

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Abstract

Unscheduled electricity usage in music studios may lead to energy wastage due to electrical loads remaining switched on outside operating hours. This study aims to design and implement a Time-Based Scheduling system using an Omron Programmable Logic Controller (PLC) and a Haiwell Human–Machine Interface (HMI) to automate the operation of electrical loads according to predetermined schedules. The system is equipped with a PZEM sensor to monitor electrical parameters in real time and a capacitor to compensate reactive power and improve the power factor. the research method consisted of hardware and software design, system implementation, and performance testing. System performance was evaluated by comparing electricity consumption before and after the implementation of the Time-Based Scheduling system. In addition, the accuracy of the PZEM sensor was assessed by comparing its measurements with those obtained using a clamp meter. the results demonstrate that the system successfully controlled electrical loads automatically according to the predefined schedule. The PZEM sensor produced measurements that closely matched the reference instrument, with average deviations of 2.24 V for voltage and 0.0058 A for current. Electricity consumption decreased from 55 Wh to 52 Wh, resulting in an energy saving of 5.45%. Although the reduction in energy consumption was relatively modest, the proposed system improved operational discipline, reduced the potential for human error, and supported more efficient electricity management.
Sistem Monitoring dan Pembatas Stop Kontak Dengan Early Warning Berbasis Node-RED dan Telegram Muhammad Rizal Izzuddin; Aditya Chandra Hermawan; Mahendra Widyartono; Daeng Rahmatullah
Journal of Science and Engineering Vol. 2 No. 2 (2026)
Publisher : CV. Akira Java BUlu

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Abstract

Pada sebagian rumah kos lama, satu kWh meter dan satu MCB masih digunakan untuk beberapa kamar sehingga konsumsi energi setiap kamar sulit dipantau secara terpisah dan penggunaan arus pada satu kamar belum tentu mencapai karakteristik pemutusan MCB utama. Penelitian ini mengembangkan sistem pemantauan dan pembatas arus pada satu stop kontak lokal berbasis Internet of Things. Sistem menggunakan ESP32, sensor PZEM-004T, relai, LCD, keypad 4×4, Node-RED, Telegram, dan Google Spreadsheet. Peringatan dini diberikan ketika arus mencapai 90% dari batas yang diatur, sedangkan pemutusan dilakukan ketika arus lebih bertahan selama 2 detik. Batas arus dapat diatur pada rentang 0,50–3,00 A. Hasil pengujian menunjukkan rata-rata kesalahan pengukuran tegangan sebesar 0,07% dan arus sebesar 3,43%. Pada rentang arus 1,68–3,67 A, kesalahan pengukuran berada pada 0,00–1,19%. Waktu tunda internal ESP32 tercatat konsisten sebesar 2,00 detik, sedangkan waktu respons keseluruhan berada pada rentang 3,83–4,77 detik dengan rata-rata 4,26 detik. Sistem mampu beroperasi lebih dari 48 jam dan seluruh fungsi pemantauan serta kontrol melalui Telegram dan Node-RED berhasil pada jarak pengujian hingga 2,5 km. Hasil tersebut menunjukkan bahwa prototipe mampu menjalankan fungsi pemantauan, pembatasan, pencatatan energi, dan kontrol jarak jauh pada kondisi pengujian.
Rancang Bangun Sistem Kontrol Cerdas Instalasi Pengolahan Air Limbah (IPAL) Berbasis Kecerdasan Buatan Artificial Neural Network (ANN) Backpropagation Diki Kurniawan Prasetyo; Nur Vidia; widi ariwibowo; shidqy aziz
Journal of Science and Engineering Vol. 2 No. 2 (2026)
Publisher : CV. Akira Java BUlu

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Abstract

Hospitals generate domestic wastewater that must be treated through a Wastewater Treatment Plant (WWTP) before discharge into the environment, particularly through a coagulation stage using alum to reduce turbidity and Total Suspended Solids (TSS). Existing automatic control systems are generally rule-based and prone to coagulant overdosing due to the non-linear nature of the coagulation process. This study aims to design an intelligent WWTP control system based on an Artificial Neural Network (ANN) with a Backpropagation learning algorithm to determine the optimal activation duration of an alum dosing pump based on pH and turbidity (NTU) sensor inputs. The research employed a Research and Development (R&D) method with a quantitative experimental approach. The ANN model was built using a Multi-Layer Perceptron (MLP) architecture with a 2-5-1 configuration and a sigmoid activation function, implemented on an ESP32 microcontroller integrated with Node-RED for real-time remote monitoring, and tested directly at the WWTP of IBI Mother and Child Hospital, Surabaya. The results show that the ANN Backpropagation model successfully determined the coagulant dosing duration with an overall regression correlation coefficient (R All) of 0.94795 and a Mean Absolute Error (MAE) of 0.203502 across 100 test data points, equivalent to a deviation of about 0.2 seconds. Furthermore, the conversion relationship between turbidity (NTU) and TSS was formulated through the linear regression equation TSS = 0.384 × NTU − 5.80, with a coefficient of determination R² ≈ 0.94. These findings demonstrate that the designed system operates accurately, efficiently, and adaptively in controlling the WWTP coagulation process while maintaining effluent water quality within regulatory standards.

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