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Rancang Bangun Sistem Pembersih Panel Surya Otomatis Dengan Menggunakan Sensor Debu GP2Y1010AUOF dan Komunikasi LoRa Alberta; Shidqy Aziz; Ayusta lukita; Nur Vidia
Akiratech Vol. 3 No. 2 (2026)
Publisher : CV. Akira Java Bulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63935/akiratech.v3i2.349

Abstract

Solar panel adalah perangkat yang digunakan untuk memperoleh energi alternatif yang berasal dari sinar matahari. Alat ini memanfaatkan tenaga surya dan mengubahnya menjadi energi listrik sebagai sumber daya. Meskipun Pembangkit Listrik Tenaga Surya (PLTS) memiliki berbagai manfaat, namun daya yang dihasilkan oleh panel surya dipengaruhi oleh berbagai faktor lingkungan, diantaranya adalah dipengaruhi oleh faktor eksternal seperti debu dan kotoran yang menempel pada permukaannya. Akumulasi debu dapat menghalangi cahaya matahari yang masuk ke sel surya, menurunkan efisiensi konversi energi, serta mempercepat degradasi panel apabila tidak dibersihkan secara rutin. Hasil pengujian menunjukkan bahwa tegangan keluaran panel meningkat dari rata-rata 8,484 V menjadi 9,373 V, atau mengalami peningkatan sebesar 10,48%. Pada parameter arus, diperoleh peningkatan rata-rata dari 0,0961 A menjadi 0,2198 A, atau mengalami peningkatan sebesar 128,72%. Peningkatan pada parameter daya juga menunjukkan hasil yang signifikan, yaitu dari rata-rata 0,815 W menjadi 2,056 W, dengan peningkatan sebesar 152,27%. Secara keseluruhan, hasil penelitian menunjukkan bahwa penumpukan debu pada permukaan panel surya menyebabkan penurunan performa, sedangkan proses pembersihan yang dilakukan oleh sistem yang dirancang mampu mengembalikan kemampuan panel dalam meningkatkan proses konversi energi cahaya menjadi energi Listrik
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.
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.
Performance Evaluation of a Rabbit Manure-Based Biogas Power System: Slurry Dynamics, Energy Yield, and Conversion Efficiency As'ad Shidqy Aziz; Deshinta Arrova Dewi; Daeng Rahmatullah; Muhammad ‘Izzuddin Al-Qassam; Ayusta Lukita Wardani; Fithrotul Irda Amaliah; Ridho Hendra Yoga Perdana; Onny Setyawati
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 4 (2026): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i4.16870

Abstract

The increasing demand for sustainable energy has encouraged decentralized biogas-based power systems, yet a critical research gap remains regarding their field-scale integration and multi-parameter thermodynamic evaluations under real farming conditions. The research contribution is the field-scale operational integration and continuous performance evaluation of a 500 L rabbit manure biodigester coupled with a three-stage purification unit and a modified 1000 W generator set. Utilizing a transparent, reproducible mathematical framework, fresh rabbit manure was digested under a 37-day hydraulic retention time. Results revealed that the accumulated slurry occupied 35.5% of the biodigester volume, leaving 64.5% available as headspace for passive thermodynamic pressure management. The purified biogas successfully operated a 40 W barn lighting load for 12 h day⁻¹, generating a stable average electrical energy output of 0.485 kWh day⁻¹ and a specific energy yield of 0.202 kWh kg⁻¹ of fresh manure. The integrated system achieved a validated Specific Energy Consumption (SEC) value of 0.99 and an overall energy conversion efficiency of 64.7%. While this investigation is limited by its small-scale setup and a 31-day batch cycle, the practical implications demonstrate that this layout provides a viable, standalone template for circular waste management and rural energy independence, establishing an empirical baseline to motivate future automated or upscaled microgrid architectures.