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All Journal ELPOSYS: Jurnal Sistem Kelistrikan
Rahman Azis Prasojo
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Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Evaluasi Metode Health Index Untuk Menentukan Prioritas Pemeliharaan Gardu Distribusi Galuh Prawestri Citra Handani; Rahman Azis Prasojo; Muhammad Fahmi Hakim; Muhammad Ridlo Zainal; Imron Ridzki; Bustani Hadi Wijaya
Elposys: Jurnal Sistem Kelistrikan Vol. 11 No. 3 (2024): ELPOSYS vol. 11 no. 3 (2024)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v11i3.6102

Abstract

Electricity is an essential energy source that plays a crucial role in human life. A key component of power distribution systems is the distribution substation. As distribution substations are in operation over time, their components experience aging, which can result in operational failures. This situation emphasizes the necessity for regular evaluations and diagnostics of distribution substations. Such assessments are crucial for identifying when equipment requires repair or replacement, ensuring that the system operates at maximum efficiency. By implementing a proactive maintenance strategy, utilities can mitigate risks, enhance reliability, and extend the lifespan of their infrastructure. The scoring matrix method is a technique for evaluating the condition of distribution substations. It combines results from field and laboratory tests to produce values that accurately reflect the substation's condition. The research focused on four distribution substations managed by PT PLN, classifying them into high, medium, and low categories based on their health index scores. The results show that, among the four distribution substations evaluated, substations A and C received health indices exceeding 80%, classifying them in the high category. It is therefore recommended that these substations continue operating normally while adhering to their scheduled periodic maintenance. In contrast, substation B received a health index between 50% and 80%, placing it in the medium category. While it can remain operational, it requires closer monitoring and maintenance at specific intervals to ensure reliability and prevent potential issues.
Pemodelan Kurva Pembebanan Transformator Distribusi Berdasarkan Variasi Penetrasi PLTS Atap Galuh Prawestri Citra Handani; Rahman Azis Prasojo; Nurfi Fuad Al Azah; Salman Alfarisi; Anang Dasa Novfowan; Afidah Zuroida; Rahma Nur Amalia; Rhezal Agung Ananto; Arinalhaq Fatachul Aziiz
Elposys: Jurnal Sistem Kelistrikan Vol. 12 No. 2 (2025): ELPOSYS vol. 12 no. 2 (2025)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v12i2.7326

Abstract

Transformers are considered important equipment in the power distribution system. Determining the state of the distribution network loading curve a network model to analyze the impact of the rooftop PV system penetration level. The assumption of penetration is 10% - 100% and based on the amount of transformer power according to the nameplate, which is 160 kVA. The transformer that used is GTT BB1215, which is one of the distribution transformers in the PT PLN (Persero) UP3 South Surabaya. The loading curve modeling uses DIgSILENT PowerFactory 2021 software with the Quasi-Dynamic Simulation feature. Based on the average loading curve of GTT BB1215 for 14 days, there is a fluctuation, starting at 00.00 a.m - 06.00 a.m the load will decrease, the load will increase again at 06.00 a.m – 07.00 p.m, and the peak load at 06.00 p.m - 07.00 p.m with a current of 140 A (96 kW) or 60% of the transformer capacity load. The lowest load occurs at 06.00 a.m with a current of 94 A (65 kW) or 40% of the transformer capacity load. At a penetration level of 10% - 40%, the transformer load decreases significantly. However, when the penetration level exceeds 40%, there is a reverse power flow from the rooftop PV system to the transformer. This condition make the current to continue flowing even though the load on the transformer has reached 0, because the current represents the power flow from the rooftop PV system to the network, not from the customer load.
Integrasi IoT pada Mesin Roasting Kopi Fluidized Bed Wijaya Kusuma; Rahman Azis Prasojo; Ibrahim; Lukman Hakim; Muhammad Arief Furqon; Mochammad Erfian Ramadhan
Elposys: Jurnal Sistem Kelistrikan Vol. 12 No. 2 (2025): ELPOSYS vol. 12 no. 2 (2025)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v12i2.6990

Abstract

This research presents the development of an electric coffee roasting machine using the fluidized bed method, integrated with an Internet of Things (IoT)-based monitoring and control system. The system was designed to address limitations of previous prototypes that lacked remote temperature monitoring and automation. The roasting chamber utilizes a hot air stream to create fluidization, enabling uniform bean agitation and heat distribution. Key hardware includes a thermocouple sensor (MAX6675), an ESP32-S3 microcontroller, an AC light dimmer for heater control, and an electronic speed controller (ESC) for blower regulation. A user interface is provided via a TFT LCD screen and a custom mobile application connected through Firebase Realtime Database. Roasting profiles—consisting of bean type, target roast level, and batch weight—can be selected and executed automatically. The system was tested with various bean weights (50–250 g), demonstrating accurate temperature control, stable fluidization, and consistent roast levels. Results showed a temperature deviation below ±1°C from reference measurements, and all tests produced medium roast coffee with uniform color and aroma. The integration of IoT improves usability, process reliability, and potential scalability for small-scale roasting operations.
Co-Authors Afidah Zuroida Anang Dasa Novfowan Ananto, Rhezal Agung Arinalhaq Fatachul Aziiz Bustani Hadi Wijaya Fahmi Hakim, Muhammad Galuh Prawestri Citra Handani Hafiz Furqoni Hari Kurnia Safitri Ibrahim Imron Ridzki Lukman Hakim Mochammad Erfian Ramadhan Muhammad Arief Furqon Muhammad Fahmi Hakim Muhammad Ridlo Zainal Nurfi Fuad Al Azah Rahma Nur Amalia Salman Alfarisi Sungkowo, Heri Wijaya Kusuma