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A 300 kVA generator set is an important tool as a backup power source in many sectors. Manual monitoring of generator set performance is often inefficient and can cause delays in detecting problems. Various advances in Internet of Things (IoT) technology have enabled the design of remote monitoring systems to overcome these limitations. This study aims to develop an IoT-based monitoring tool capable of monitoring important generator set parameters such as voltage, current, power, and engine temperature in real-time. This will enhance generator set management efficiency and reduce the risk of damage. The method used is an experimental approach involving the creation of an IoT-based monitoring system prototype. Operational data from the generator set is collected using sensors and then transmitted to an IoT platform for analysis. This research uses PZEM-004T sensors to monitor parameters such as power, current, and voltage. RTD PT100 sensors monitor parameters such as engine temperature, oil temperature, and turbo temperature. Honeywell PX3 sensors monitor oil pressure. Honeywell 1GT101DC sensors monitor engine speed. The results of the study show that the device works well with an average error of 0.76% from the sensors used. The greater the distance between the Wi-Fi modem and the device, the slower the data response speed.

Generator Set Service Management is the process of organizing maintenance, repair, and upkeep activities of generator sets, starting from planning, implementation, evaluation, control, and improvement of services to ensure the generator machine continues to operate effectively and efficiently. The research was conducted at PT. Sigma Quantum Insani, located in Balikpapan, East Kalimantan. The problem addressed in the research is the frequent delays in completing scheduled tasks within the generator set service management activities. The purpose of the study is to determine the critical path of activities and identify the duration of the critical path. From the analysis using the Critical Path Method (CPM) assisted by MS Project software, the identified critical path activities are: A1-B1-B2-B3-B4-B5-B6-B7-B8-B9-B10-B14-B16-B17-C1-C2-D1-D2-D3, which include DO approval, engineering scope, painting scope, and delivery scope. The total time obtained for the critical path is 38 days, resulting in a time efficiency of 8 days in the generator set service process.

This study analyzes noise levels caused by traffic activities and generator sets (genset) in the Semarang University environment. Measurements were conducted using descriptive analytical methods by comparing measurement results against noise quality standards according to KepmenLH No.48 of 1996. Data collection was carried out in November 2023 at three location points (in front of Building V, Sports Center, and USM gate) during morning (08.00-08.30), afternoon (12.30-13.00), and evening (17.30-18.00) on weekdays and weekends. Measurement results showed traffic noise levels on weekdays reached 88.3 dB in front of the Sports Center, 85.3 dB at Building V, and 82.1 dB at the USM gate. On weekends, the highest noise level reached 82 dB. Generator noise measurements in stationary conditions reached 108.4 dB and increased to 112.4 dB during loading. The highest vehicle volume occurred during weekday evenings, reaching 3,176 vehicles/hour. Research results indicate that noise levels in the campus environment are above the permitted threshold of 55 dB for educational areas. The study recommends the construction of noise barriers and evaluation of generator placement to reduce noise impact on campus activities.

This research aims to design and test a genset fuel conversion system from gasoline to HHO gas (brown gas) as a more environmentally friendly alternative. Conventional fossil-fueled generators face challenges in theform of limited resources and the impact of environmental pollution. In this study, HHO gas is produced through a water electrolysis process using an HHO generator that separates water molecules into hydrogen and oxygen using electric current. The test results show that increasing the voltage from 2.58 V to 5.12 V significantly increases the volume of gas produced. At a voltage of 2.58 V, the gas volume reached 110 ml, and increased to 750 ml at a voltage of 4.72 V. The generator set was successfully operated for 1 minute 15 seconds with HHO gas using a separate battery power source. These results demonstrate the potential of HHO gas as an efficient alternative fuel for generator sets. This study recommends further testing with voltage and current variations to find the optimal configuration, as well as the use of a larger power source to increase the efficiency of HHO gas electrolysis.