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Abdul Multi
Institut Sains Dan Teknologi Nasional, Jakarta, Indonesia
Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Optimization of Electrical Energy Consumption in Multi-Storey Government Buildings Using Smart Building Systems Syahrin Syahrin; Abdul Multi; Lilly S. Wasitova
International Journal of Advanced Multidisciplinary Vol. 4 No. 4 (2026): International Journal of Advanced Multidisciplinary (January - March 2026)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v4i4.1878

Abstract

Multi-storey government buildings generally exhibit high electrical energy consumption, particularly in heating, ventilation, and air conditioning (HVAC), lighting, and supporting electrical equipment. Conventional operational patterns that do not adapt to occupancy levels and environmental conditions often lead to significant energy inefficiencies and increased operational costs. In recent years, smart building technologies have been recognized as an effective approach to improving energy performance in non-residential buildings. This study aims to optimize electrical energy consumption in a multi-storey government building through the implementation of a Smart Building System based on a Building Energy Management System (BEMS). The research adopts an applied case study approach conducted at a provincial government office building in Indonesia. The methodology includes an energy audit, analysis of electrical load profiles, evaluation of energy performance indicators, and comparison of energy consumption before and after the application of BEMS-based optimization strategies. The results demonstrate a measurable reduction in total electricity consumption, peak load demand, and operational electricity costs, while maintaining acceptable indoor comfort conditions. The findings confirm that the application of smart building systems can significantly enhance energy efficiency in government buildings and provide a practical framework for sustainable energy management in the public sector.
Review of Hybrid Diesel–Solar Power System from Technical and Economic Perspectives at Power Plants in Lombok Jawoto Tri Prabowo; Lilly S. Wasitova; Abdul Multi
International Journal of Advanced Multidisciplinary Vol. 4 No. 4 (2026): International Journal of Advanced Multidisciplinary (January - March 2026)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v4i4.1884

Abstract

Diesel Power Plants remain the main electricity source in Indonesia’s archipelagic country and they are served as isolated power systems, that characterized by high fuel consumption, high operating costs, and significant greenhouse gas emissions. This study evaluates the technical, economic, reliability, environmental, and diesel reduction performance of a hybrid Diesel Power Plants system integrated with solar power and battery energy storage. A quantitative simulation-based approach using HOMER software compares three configurations: conventional Diesel Power Plants, Diesel–Solar PV, and Diesel–Solar PV–BESS. The analysis focuses on energy performance, fuel efficiency, economic indicators, system reliability, and carbon dioxide (CO₂) emissions. Results show that integrating a 1 MWp PV system and a 1 MWh BESS into a 6 MW Diesel Power Plant in Lombok significantly improves system performance, reducing Specific Fuel Consumption by 4.70% and CO₂ emissions by 4.41%. Economically, the hybrid system lowers Net Present Cost by 3.31%, Operating Cost by 4.78%, and Levelized Cost of Energy by 3.58% to 0.2234 USD/kWh, with a payback period of 2.91 years, while also improving system reliability through reduced unmet load and capacity shortage. These findings confirm that the Diesel Power Plant–Solar PV–BESS configuration is a reliable, cost-effective, and environmentally sustainable diesel reduction solution for island-based power systems in Indonesia.
Optimal Placement Analysis of Surge Protective Devices Against Lightning Impulses at Main Distribution Panels Using MATLAB Simulation Ovie Ariesta; Abdul Multi; Baskoro Abie Pandowo
International Journal of Advanced Multidisciplinary Vol. 4 No. 4 (2026): International Journal of Advanced Multidisciplinary (January - March 2026)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v4i4.1885

Abstract

Lightning-induced transient overvoltages pose a serious threat to modern electrical installations, particularly at main distribution panels where electrical energy is concentrated. Improper mitigation of these surges may lead to insulation breakdown, equipment damage, and system outages. This paper presents an analysis of the optimal placement of surge protective devices (SPDs) against lightning impulses at the main distribution panel using MATLAB-based simulation. Several protection scenarios are evaluated, including an unprotected condition and various SPD placement configurations. Lightning impulses are modeled using standard impulse waveforms, and system responses are analyzed in the time domain. Simulation results indicate that SPD placement significantly affects residual voltage levels and transient response stability. The optimal configuration is achieved by installing SPDs at the incoming side of the main panel, resulting in the lowest peak residual voltage and the most stable voltage response. The findings provide practical guidance for designing effective surge protection schemes in lightning-prone regions.
Analysis of an IoT-Based Energy Management System to Optimize Solar Power Plant Operations in Smart Buildings Mulyasmi Mulyasmi; Abdul Multi; Abdul Rosyid
International Journal of Advanced Multidisciplinary Vol. 5 No. 2 (2026): International Journal of Advanced Multidisciplinary (July - September 2026)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v5i2.2272

Abstract

The increasing electricity consumption in modern buildings has driven the implementation of Internet of Things (IoT)-based photovoltaic (PV) systems as part of the smart building concept to enhance energy management efficiency and operational reliability. This study aims to analyze the performance of an IoT-based PV system in conducting real-time monitoring and data transmission, as well as to evaluate the influence of operational parameters on system performance. The proposed system consists of six PV modules with a total capacity of 1.5 kWp, a 1 kW inverter, voltage, current, and temperature sensors, and a NodeMCU ESP8266 for data acquisition and IoT-based communication. Measurement data are transmitted to a cloud platform every five seconds and displayed on a real-time monitoring dashboard. The results demonstrate that the implementation of the IoT-based PV system improves energy management efficiency, accelerates fault detection, reduces maintenance costs, and supports the development of sustainable smart buildings. Furthermore, the proposed monitoring model offers opportunities for future enhancement through the integration of Artificial Intelligence (AI), predictive maintenance, weather forecasting, and Building Management Systems (BMS).
Co-Authors Abdul Rosyid Baskoro Abie Pandowo Jawoto Tri Prabowo Lilly S. Wasitova Mulyasmi Mulyasmi Ovie Ariesta Syahrin Syahrin