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OPTIMALISASI-UNJUK KERJA-GENSET-MEMAKAI SISTEM MONITORING DAYA BERBASIS IOT BERBAHAN BAKAR BIOGAS PADA UNIT CLPDTR DESA PATTIRO DECENG KABUPATEN MAROS- SYAHRUL MUSTAFA; MUHAMMAD NUR
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 8 No 1 (2023): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v8i1.36721

Abstract

Bahan-Bakar-Gas (BBG) adalah gas alam berbahan dasar metana dan jenis dari bahan bakar ini ramai digunakan di Indonesia. Kelebihan menggunakan bahan bakar dari gas yaitu lebih ekonomis daripada bahan bakar minyak. Penelitian dilakukan dengan menggunakan tiga metode yaitu penelitian kuantitatif dan dibagi menjadi tiga tahap yaitu tahap ujicoba, lapangan, dan pengolahan data..Hasil Pengujian Generator Set Biogas di daerah Desa Pattiro deceng kab Maros, dengan pengujian tekanan gas yang mampu menyalakan Generatos set biogas dengan tekanan sebesar 0,4 Bar. Pengujian Tanpa Beban dan Berbeban menggunakan Mesin Elektronik seperti Gurinda, Kipas Angin, Mesin Bor Tangan, dan Blender dan membandingkan hasil pengukuran monitorin daya listrik IOT dengan Alat ukur Multimeter. Rasio optimal pada percobaan ditentukan dengan parameter putaran generator tanpa beban dan berbeban yang bertujuan mnegindetifikasi penggunaan genset biogas agar lebih optimal dan perbandingan pengukuran sistem monitoring daya listrik IOT dengan alat ukur Multimeter yang nilai output Arus bervariasi mencapai range 10 %.
Pemberdayaan Keluarga Nelayan Melalui Pengolahan Ikan Asap untuk Produksi Bajabu Abon Khas Bugis Makassar di Pulau Karanrang Kabupaten Pangkajene Dewi Andriani; Syahrul Mustafa; Sherry Adelia
Jurnal Pengabdian UNDIKMA Vol. 4 No. 1 (2023): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v4i1.6337

Abstract

This community service aims to empower fishermen's families in Karanrang Island through fish processing to produce Bajabu shredded typical of Bugis Makassar. The service method used initial observation, assistance with partner conditions, field data collection, and implementation of alternative solutions for product creation and evaluation. The service partners were a group of fishermen from Karanrang Island. This service created a product in the form of a Fish Smoking House (FSH) made entirely of stainless steel. It also created the Bajabu product, a roasted shredded Bugis Makassar delicacy packed and labeled for increased marketability.
Rancang Bangun Media Pembelajaran Konveyor Sistem SLG Berbasis HMI Ikhwana Filla; Irwandi; Ar ade jumadil; Irvawansyah; Syahrul Mustafa
Joule (Journal of Electrical Engineering) Vol 5, No 2: Agustus 2024
Publisher : Politeknik Bosowa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61141/joule.v5i2.804

Abstract

The study intended to create a learning medium tools for sorting systems, elevators, gates based on PLC, and to control systems for sorting objects, freight elevators and gates. The research methods applied to this study are problem identification, toolmaking, design, and testing. Based on tests conducted by the system can detect objects by using proximity infrared sensor by a range of 3 centimetres – 8 centimeter and can be regulated according to need and proximity inductive sensors with a range of 0-4 mm. this media use Infrared sensor range 8 cm and 5 cm while the inductive sensor used by the range 4 mm. Infrared sensors are also used to detect altitude in objects to be sorted. These media control systems are controlled using PLC. Programs for this medium can be created with the language program leadder diagram. For PLC and PC communication using LAN cables. The learning media uses 5 electric motor, three 5 VDC electric motor those are a gate electric motor, a sorting electric motor, and a booster electric motor as well as two 12 VDC electric motor those are conveyor and a freight elevator, so that to connect the SLG learning media to the PLC an additional relay is needed.
PKM PEMANFAATAN BIOGAS PADA UNIT CLPDTR SEBAGAI BAHAN BAKAR GENSET DENGAN SISTEM MONITORING DAYA LISTRIK IOT UNTUK MESIN PENGUPAS KULIT KACANG DI DESA PATTIRO DECENG KABUPATEN MAROS Syahrul Mustafa; Umar Muhammad; Muhammad Ikhsan
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.36871

Abstract

Gas bahan bakar (BBG) adalah gas alam yang terdiri dari methana, dan banyak ditemukan di Indonesia. Bahan bakar gas lebih murah daripada BBM. Tiga metode penelitian kuantitatif digunakan untuk melakukan penelitian ini. Tahap pra-lapangan, lapangan, dan pengolahan data adalah tahap-tahap penelitian ini. Hasil pengujian generator set biogas di daerah Desa Pattiro deceng kab Maros. Pengujian dilakukan tanpa beban dan dengan beban menggunakan mesin pengupas kulit kacang. Kami juga menguji pengukuran tekanan gas dengan 0,4 bar. Kami juga membandingkan hasil pengukuran monitor daya listrik IOT dengan alat ukur multimeter. Parameter putaran generator tanpa beban dan berbeban digunakan untuk menentukan rasio optimal percobaan. Pada percobaan, parameter putaran generator tanpa beban dan berbeban ditentukan, dengan tujuan mengoptimalkan penggunaan genset biogas. Selain itu, percobaan juga membandingkan pengukuran sistem pemantauan daya listrik IOT dengan alat ukur multimeter, yang memiliki nilai arus yang bervariasi hingga 10 %.
Pengembangan PLTMH dengan Model Multipowerhouse (MPH) untuk Optimalisasi Air Buangan Turbin PLTMH Garassik di Sungai Garassik Kab. Enrekang Muhammad Khaidir; Fadhli Rahman; Syahrul Mustafa
Jurnal Mosfet Vol. 5 No. 1 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v5i1.3510

Abstract

The Garassik Micro-Hydro Power Plant in Panassang Village, Enrekang Regency, with an installed capacity of 3.7 kW, experiences an energy deficit due to the community's electricity demand of 390.74 kWh per day. Despite its efficient operation, the plant generates a maximum of only 88.8 kWh per day, underscoring the need for capacity enhancement. This study explores the potential of utilizing turbine wastewater as an energy source by designing a Multi Powerhouse (MPH) Micro-Hydro Power Plant to optimize water energy usage. The proposed MPH system evaluates water energy potential, determines optimal powerhouse placements for effective head height, and calculates total power output. Unlike the single-powerhouse model, the MPH system addresses water flow limitations, particularly during periods of reduced flow, significantly improving total power output to 160.235 kW, a 171% increase. Key advantages of the MPH model include better utilization of turbine wastewater, enhanced operational flexibility, and improved water energy efficiency. Using a descriptive quantitative research method, this study begins with a location survey to collect turbine wastewater characteristics, followed by mathematical modeling for analysis. Results reveal output flow rates of 0.189 m³/s, 0.187 m³/s, and 0.185 m³/s across three powerhouses, with effective head heights of 24.782 m, 29.725 m, and 34.729 m, respectively. The system uses Crossflow turbines, ideal for medium heads and moderate flow rates. Economic analysis indicates an NPV of IDR 2.400.000.000,- an IRR of 14%, and a BCR of 2.5, with a payback period of 5.45 years, making the project financially viable and sustainable.
Optimasi Peramalan Beban Listrik dengan Regresi Linear Berganda Berbasis Algoritma Genetika: Studi Kasus Kabupaten Soppeng Muhammad Khaidir; Saktiani Karim; Muhammad Fathur Rahman N; Syahrul Mustafa; Reihan Virgiawan
Jurnal Mosfet Vol. 5 No. 2 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v5i2.4024

Abstract

Electricity is a crucial infrastructure supporting economic and social development, thus requiring reliable supply planning. In Soppeng Regency, historical data from 2019–2023 show population growth from 226,992 to 240,955 people and GRDP increase from 10,938 to 14,909 billion rupiah, driving higher electricity demand. Customer numbers rose in the household sector from 29,438 to 34,376 and in industry from 33 to 58, with similar upward trends in connected load and energy use. This study addresses the challenge of accurate forecasting by applying Multiple Linear Regression (MLR) optimized with Genetic Algorithm (GA). Forecasting results up to 2028 predict household customers reaching 40,449 and industrial customers 89, while connected load grows from 35.7 to 34.0 million VA in households and from 8.6 to 17.4 million VA in industry. Electricity consumption is projected to exceed 41.8 million kWh in households and 13.5 million kWh in industry by 2028. Model evaluation using Mean Absolute Percentage Error (MAPE) confirms reliable accuracy, making the MLR–GA approach effective for future capacity planning.
Studi Eksperimental Prototipe Sistem Proteksi Motor Listrik 3 Fasa berbasis Programmable Logic Controller (PLC) Fatmawati Azis; Syahrul Mustafa
Jurnal Mosfet Vol. 6 No. 2 (2026): 2026
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v6i2.4576

Abstract

Three-phase induction motors are widely used as primary driving machines in industrial applications due to their simple construction, high efficiency, and relatively low maintenance requirements. However, three-phase induction motors are susceptible to various faults, such as overcurrent, overvoltage, undervoltage, phase loss, phase reversal, and overtemperature, which may cause severe damage to the motor. This study aims to design and develop a PLC-based protection system for a three-phase induction motor using the Mitsubishi FX3U-14MR PLC as the main controller, the EOCR-DS3 as the overcurrent protection device, the CHINT XJ3-D as the voltage and phase protection relay, and the REX-C100 Temperature Controller for motor temperature monitoring.The research employed an experimental method involving the design of a control panel, integration of protection devices, PLC programming, and system testing under various fault conditions. The overvoltage test results showed that the protection relay generated a trip signal when the average three-phase (R-S-T) voltage reached 402 V with the overvoltage setting adjusted to 400 V. The relay also generated a trip signal when the average three-phase voltage reached 403 V with the overvoltage setting adjusted to 415 V. In the undervoltage tests, the relay generated a trip signal when the three-phase voltage dropped to 372 V with the undervoltage setting at 380 V, and when the voltage decreased to 359 V with the undervoltage setting at 360 V. The phase loss tests on phases R, S, and T demonstrated that the protection relay successfully detected the loss of each phase based on the measured voltage conditions. The test results indicate that all protection devices and sensors operated properly and successfully detected fault conditions according to the predetermined settings. Therefore, the proposed three-phase induction motor protection system based on PLC was proven to function effectively and can improve the reliability and operational safety of the motor