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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri AEEJ : Journal of Automotive Engineering and Vocational Education Al-Khidmah Jurnal Pengabdian Masyarakat Jurnal Teknik Terapan (J-TETA)
Mulyono, Novangga Adi
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Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Transportation Other

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Design and Development of an Off-Grid Solar Power Monitoring System on A 160 Wp PV System at SMPN 04 Tempurejo, Jember Regency Ramadhan, Fila; Rachmanita, Risse Entikaria; Mulyono, Novangga Adi; Nurazaq, Warit Abi; Hasbiyati, Haning
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 1 (2024): December 2024
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v22i1.32975

Abstract

Solar energy can be converted into electrical power through photovoltaic (PV) technology, commonly referred to as solar panels.  As a result, the implementation of a monitoring system is crucial to mitigate battery degradation caused by excessive discharging. This study employs a research and development (R&D) approach. The off-grid solar power monitoring system installed at SMPN 04 Tempurejo is designed to facilitate maintenance and enhance system reliability. By integrating Internet of Things (IoT) technology, the monitoring system allows for real-time tracking of voltage, current, and power output from the PV system via smartphone access, irrespective of location. Consequently, the IoT-based monitoring system significantly improves the management and oversight of the off-grid solar power system at SMPN 04 Tempurejo.
Inovasi Pembelajaran Otomotif melalui Implementasi Sensor Cerdas di SMAN Ambulu Jember Mulyono, Novangga Adi; Aulina, Audha Fitrah; Dwianto, Sihmaulana; Ali, Reynaldi Akbar
Al-Khidmah Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): MEI-AGUSTUS
Publisher : Institute for Research and Community Service (LPPM) of the Islamic University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jak.v5i2.4156

Abstract

The rapid development of Internet of Things (IoT) technology and smart sensors in the automotive industry opens up great opportunities in the world of education, especially at the high school level. This community service program aims to introduce Arduino-based sensor and microcontroller technology to students of SMAN Ambulu Jember through a workshop approach and project-based learning. The method used in this activity uses the PAR (participatory action research) method with an interactive workshop approach and project-based learning that includes an introduction to types of automotive sensors such as DHT11, HC-SR04, and LDR as well as sensor installation and programming practices. The evaluation results showed a significant increase in students' understanding of the concept of IoT and microcontrollers, as well as a high interest in studying the field. This workshop proves the effectiveness of the interactive learning model in improving students' technological literacy and readiness to face the challenges of industry 4.0.
Pengaruh Water Injection System pada Mesin 100cc Berbahan Bakar LPG Terhadap Konsumsi Bahan Bakar Spesifik dan Temperatur Mesin Ali, Reynaldi Akbar; Mulyono, Novangga Adi; Aulina, Audha Fitrah
AEEJ : Journal of Automotive Engineering and Vocational Education Vol 5 No 2 (2024): Vol 5 No 2 (2024): AEEJ : Journal of Automotive Engineering and Vocational Educat
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/aeej.v5i2.260

Abstract

The number of motorized vehicles in Indonesia is increasing. Therefore, alternative fuels are needed to meet the needs. One of them is LPG (liquified petroleum gas). However, in its application, the engine temperature becomes hotter, making it less efficient, and specific fuel consumption is not optimal. The Water Injection System is one of the additional technologies that can be used to reduce engine heat. This study will compare the results of specific fuel consumption and engine wall temperature with adding a water injection system on a 100cc engine. The data collection results on specific fuel consumption at 3000 RPM without water injection showed the highest figure at 0.0410 (kg/HP.hour), with the addition of a water injection system, it produced 0.0405 (kg/HP.hour). The average engine working temperature without a water injection system was 90.3 0C while adding a water injection system showed 87.8 0C. Jumlah kendaraan bermotor di Indonesia semakin meningkat. Untuk itu diperlukan bahan bakar alternatif untuk memenuhi kebutuhan. Salah satunya adalah LPG (liquified petroleum gas). Namun pada aplikasinya, temperatur mesin menjadi lebih panas, sehingga kurang efisien dan konsumsi bahan bakar spesifiknya tidak optimal. Water injection System adalah salah satu teknologi tambahan yang dapat digunakan untuk mengurangi panas mesin. Penelitian ini akan membandingkan hasil specific fuel consumption dan temperatur dinding mesin dengan penambahan water injectiontion system pada mesin 100cc. Hasil pengambilan data specific fuel consumption pada 3000 RPM tanpa water injection menunjukkan angka tertinggi di 0,0410 (kg/HP.jam) dan dengan penambahan water injection system menghasilkan 0,0405 (kg/HP.jam). Temperatur kerja mesin rata rata tanpa water injection system menunjukkan 90,3 0C sedangkan ketika menambahkan water injection system menunjukkan 87,8 0C.
Pengaruh Variasi Dimple Intake Manifold pada Water Injection System di Mesin 100cc Berbahan Bakar LPG Terhadap Konsumsi Bahan Bakar Spesifik Mulyono, Novangga Adi; Reynaldi Akbar Ali; Sihmaulana Dwianto; Warit Abi Nurazaq
Jurnal Teknik Terapan Vol. 4 No. 1 (2025): April
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The number of motorized vehicle users in Indonesia is increasing. Alternative fuels are needed to meet the needs of these motorized vehicles. One of the alternative fuels that can be used is LPG. However, in its application in motorized vehicles, LPG fuel has a weakness, namely that the engine temperature tends to be higher, thus affecting the performance and specific fuel consumption produced. One additional mechanism that can be used to optimize the use of LPG fuel in motorized vehicles is the water injection system. The addition of a water injection system to motorized vehicles is able to maintain the temperature of the combustion chamber, so that it can improve the results of specific fuel consumption. To optimize the use of the water injection system in motorized vehicles, variations in the surface of the intake manifold can be used, namely standard intake, tight dimple and loose dimple. The use of this variation is expected to make the fuel mixture and water injection mix perfectly before entering the combustion chamber. The results of the data collection that have been carried out show that the lowest specific fuel consumption (SFC) is obtained by using a tight dimple intake manifold with water injection with an average value of 0.015882797 kg/HP.hour at an engine speed of 8000 RPM.
Artificial Neural Network Approach for Estimating Biochar Yield from Biomass Composition and Pyrolysis Temperature Nurazaq, Warit Abi; Pambudi, Suluh; Mulyono, Novangga Adi
Jurnal Teknik Terapan Vol. 4 No. 1 (2025): April
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Biochar yield from biomass pyrolysis is influenced by complex interactions among feedstock properties and pyrolysis conditions. This study proposes the generation of an artificial neural network (ANN) model to predict biochar yield using input variables including volatile matter, fixed carbon, ash content, elemental composition (C, H, O, N), and temperature on pyrolysis process. A multilayer perceptron (MLP) network was trained using experimental data collected from various biomass sources. The model achieved high performance, with correlation coefficients (R2) of 0.98812 for training, 0.96529 for validation, and 0.94148 for testing. Mean squared error (MSE) analysis showed optimal validation performance at epoch 31, while the error histogram and regression plots confirmed strong predictive accuracy across all datasets. These results demonstrate that ANN is a powerful tool for modeling biochar production, offering a reliable and efficient alternative to labor-intensive experimental methods.
Co-Authors Ali, Reynaldi Akbar Aulina, Audha Fitrah Dwianto, Sihmaulana Hasbiyati, Haning Nurazaq, Warit Abi Pambudi, Suluh Rachmanita, Risse Entikaria Ramadhan, Fila Reynaldi Akbar Ali Sihmaulana Dwianto Warit Abi Nurazaq