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STUDI PEMANFAATAN SALURAN IRIGASI DI DESA PORAME UNTUK PEMBANGKIT LISTRIK TENAGA PICOHIDRO (PLTPH) MENGGUNAKAN GENERATOR SINKRON MAGNET PERMANEN SATU FASE

Ahmad Antares Adam — 2025-06-22

Hydropower plants (PLTA), micro-hydro plants (PLTMH), and pico-hydro plants (PLTPH) in Indonesia use generators with excitation systems to generate fields or magnetic field amplifiers. The use of excitation systems in generators has several drawbacks. In the era of technological development, various types of generators have been developed, one of which is the permanent magnet generator. The Permanent Magnet Synchronous Generator (PMSG) has separate excitation from the synchronous generator and is carried out by permanent magnets to generate the magnetic field instead of coils. This research aims to explore the potential of irrigation channels being utilized as PLTPH using permanent magnet generators. The research method used is the experimental method. The experimental research method is a true experimental method where the equipment is tested and examined. Experimentation involves observation under artificial conditions, where these conditions are created and controlled by the researcher. This study shows that the irrigation channel in Porame Village has the potential to be used as a Pico-Hydro Power Plant (PLTPH) to provide electrical energy as an alternative lighting source, especially at night and during power outages from the national electricity grid (PLN). From the measurement and calculation results, the water flow rate at night is 0.3835 m³/s, with the water power being Pair = 1,901 watts. The type of turbine used is a crossflow turbine, utilizing a permanent magnet synchronous generator.

RANCANGAN SISTEM PENGERING IKAN BERBASIS IOT DENGAN PEMANAS ALTERNATIF

Diah Patriana Setianingsih — 2025-06-22

Fish drying is a technique in fish processing by reducing the water content in fish meat to inhibit the growth of microorganisms and extend the shelf life of the fish. Sunlight dependent, this process faces challenges in bad weather. This study develops a household scale IoT-based fish drying system with real-time temperature and humidity monitoring, utilizing incandescent and infrared lamps as alternative heat sources. It also evaluates the effectiveness of these heat sources in drying fish.The research was conducted in Balikpapan, focusing in Manggar Main Market area. The research methods included literature studies, observations, prototypes, and interviews with small business operators to select fish samples used in this study, namely tembang fish (Sardinella sp.) and scad (Decapterus spp.).The results show that infrared heaters reduce water content more effectively than incandescent lamp, which is around 66.7%, versus 57.1% for tembang fish and around 46.1% versus 38.4% for scad. The IoT-based monitoring system successfully displayed real time sensors measurement data on the website.The conclusion infrared heaters outperformed incandescent lamps in drying fish and the IoT-based monitoring system works effectively.

CLUSTERING DAERAH TERDAMPAK SAMPAH DI INDONESIA MENGGUNAKAN ALGORITMA DBSCAN.

Dessy Santi — 2025-06-22

The waste problem in Indonesia is a complex and evolving environmental issue, particularly in areas with high population density and economic activity. This study aims to cluster regions affected by waste issues using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. DBSCAN was chosen for its ability to identify spatial patterns and detect outliers without requiring a predefined number of clusters. The data used includes spatial and non-spatial information related to waste volume and regional characteristics across various provinces in Indonesia. The results show that DBSCAN effectively groups waste-affected areas into several clusters based on data density and spatial proximity. These clusters can serve as a foundation for determining policy priorities for regional and national waste management. This research is expected to contribute to the development of more targeted and data-driven waste management strategies.

LINE TRACER PENYORTIR BARANG DENGAN QR CODE SEBAGAI PENGENALAN POSISI TARGET

Wisnu Rahmat Dwi Putra — 2025-06-22

Robotic-based sorting systems offer an innovative solution to enhance efficiency and accuracy in the logistics industry. This research aims to design and implement a robotic system capable of automatically sorting goods by integrating barcode scanning technology and line tracer navigation. The system is built using an Arduino Mega 2560 as the main controller and is equipped with Stepper motors, DC motors, mecanum wheels, a GM65 barcode scanner, and various supporting actuators.Experimental results show that the GM65 sensor can optimally read barcodes at distances ranging from 15 to 55 cm. The servo motor demonstrates an accuracy rate of over 98%, while the Stepper motor performs optimally at a minimum voltage of 9.0 V. Additionally, line sensor calibration yields a threshold range between 528 and 573, ensuring accurate line detection. The system also exhibits stable movement with consistent speed and minimal travel time variation, indicating efficient operational performance.By integrating these technologies, the developed robotic sorter system significantly improves productivity, accuracy, and reliability in automated goods sorting processes. The implementation of this system is expected to support automation in the logistics sector and provide a practical solution to distribution management challenges in the era of Industry 4.0.

SISTEM MONITORING CUACA PADA LAHAN PERTANIAN BERBASIS IoT

Diki Julianto — 2025-06-22

Weather is information that is very necessary, especially on agricultural land, to support plant growth, productivity, and yield. Weather monitoring currently still uses a manual system, so it requires quite a lot of time and energy. Apart from that, manual monitoring also allows limited types of data that can be measured directly by humans. The weather monitoring system design is based on the parameters used, namely temperature, humidity, wind speed, light intensity, and rain conditions, using the LoRa module, which can be accessed online and offline and in real- time on the website and LCD.The test results show that the system can work well with the parameters used, namely temperature, with an average error value of 1.81% and an accuracy of 98.19%; humidity, with an average error value of 0.675 and an accuracy of 99.325%; and average wind speed. The error value is 1.83% with an accuracy of 98.17%, the average light intensity error value is 2.42% with an accuracy of 97.58%, and the rainy conditions are successful in providing information whether it is raining or not.

ANALISIS KARAKTERISTIK MINYAK TERHADAP TEGANGAN TEMBUS TIGA JENIS MINYAK SEBAGAI ALTERNATIF MINYAK ISOLASI TRANSFORMATOR

Ika Novia Aggraini — 2025-06-22

This research seeks to assess the influence of viscosity and moisture content on the breakdown voltage of canola oil, corn oil, and sunflower seed oil, as well as to evaluate the quality and properties of these oils as potential alternative liquid insulations for transformers. Transformer liquid insulation specifications according to SPLN 50-1982 and IEC 60247:1991 standards include a breakdown voltage of 30 kV/2.5 mm, a maximum moisture content of 30 ppm or 0.003%, and a kinematic viscosity of 40 cSt at 20°C. During the assessment of moisture content and viscosity, two oil conditions are examined: fresh oil and old oil after the breakdown voltage test. The test data indicates that moisture content and viscosity influence breakdown voltage. Specifically, canola oil, with a moisture content of 0.17% and a viscosity of 28 cSt, exhibits a breakdown voltage of 20.5 kV/2.5 mm; corn oil, with a moisture content of 0.11% and a viscosity of 27 cSt, demonstrates a breakdown voltage of 25.3 kV/2.5 mm; sunflower seed oil, with a moisture content of 0.12% and a viscosity of 26 cSt, shows a breakdown voltage of 21.5 kV/2.5 mm. Nevertheless, the test findings indicate that the breakdown voltage fails to comply with the transformer insulating oil requirement.

VARIASI GEOMETRI DESAIN ELEKTROMAGNETIK GENERATOR PERMANEN MAGNET 12SLOT 8POLE 500 WATT MENGGUNAKAN SOFTWARE BERBASIS FINITE ELEMENT METHOD ( FEM )

Jumiyatun Jumiyatun — 2025-06-22

One of the main components of wind power plants that can be developed is the Permanent Magnet Synchronous Generator (PMSG). In this research, PMSG design will be carried out using Finite element method software with Geometry Variations of Permanent Magnet Synchronous Generator with a combination of 12 8-pole slots which will then be modeled on Finite element method software. In one variation of this generator geometry has been successfully created with good efficiency. This model will argue for the specifications of variations 1, 2 and 3 and are analyzed by comparison test scenarios and loading with load R. The generator with a no-load test simulation produces between variations in variation 1 of 10.93 volts, variation 2 of 12.67 volts, variation 3 of 13.77 volts. When testing load with load resulted in an efficiency of variation 1 of 20.5%, variation 2 of 19.6%, and variation 3 of 33.4%.