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Implementasi Mesin Pencacah Rumput Otomatis Menggunakan Panel Surya sebagai Solusi Efektif untuk Ternak Sapi Aripriharta, Aripriharta; Wibawa, Aji Prasetya; Sujito, Sujito; Mizar, Alfian; Faidzin, Ilham; Rahmadhani, Nur Aini Syafrina; Bagaskoro, Muhammad Cahyo
Abditeknika Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2024): Oktober
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v4i2.4919

Peternakan Lembu Ndeso yang berlokasi di Desa Kedungrejo, Kecamatan Pakis, Kabupaten Malang, Jawa Timur 65154 dan berfokus pada perkembangbiakan sapi. Peternakan ini menghadapi kesulitan signifikan dalam memproses pakan ternak secara efisien dan dalam jumlah yang memadai. Proses pencacahan pakan secara manual tidak hanya memakan waktu dan tenaga yang besar, tetapi juga menghasilkan hasil yang tidak seragam dan tidak efisien, yang menyebabkan pemborosan sumber daya. Dampaknya, produktivitas peternakan sapi terhambat dan pendapatan peternak menurun. Solusi yang diusulkan adalah penggunaan teknologi tepat guna (TTG) berupa mesin pencacah rumput yang didukung oleh Pembangkit Listrik Tenaga Surya (PLTS). Mesin ini dirancang untuk mempercepat dan meningkatkan efisiensi proses pencacahan pakan ternak. Manfaatnya termasuk peningkatan efisiensi dan efektivitas pencacahan pakan, proses yang lebih ramah lingkungan dengan memanfaatkan energi surya, serta kemudahan dalam pengendalian dan pemantauan operasional mesin. Proses perencanaan dan perancangan teknologi ini melibatkan observasi langsung, pencatatan detail, dan wawancara dengan mitra usaha, dengan tujuan menghasilkan solusi TTG yang berkelanjutan dan memberikan manfaat jangka panjang bagi para peternak Lembu Ndeso. Dengan demikian, teknologi ini diharapkan dapat membantu peternak dalam mengelola pakan ternak mereka secara lebih efisien dan meningkatkan kesejahteraan peternak. Hasil implementasi menunjukkan bahwa mesin pencacah rumput yang didukung PLTS berhasil meningkatkan efisiensi proses pencacahan pakan, dengan panel surya menghasilkan daya optimal pada cuaca cerah dan tetap berfungsi meskipun ada variasi cuaca. Pelatihan penggunaan mesin kepada warga Desa Kedungrejo mendapat antusiasme tinggi, dan serah terima teknologi kepada mitra berjalan lancar, menandakan potensi keberlanjutan penggunaan teknologi ini untuk meningkatkan produktivitas peternakan Lembu Ndeso. Lembu Ndeso Farm, located in Kedungrejo Village, Pakis District, Malang Regency, East Java 65154, focuses on cattle breeding. The farm faced significant difficulties in processing animal feed efficiently and in sufficient quantities. The manual process of chopping feed is not only time-consuming and labor-intensive, but also produces non-uniform and inefficient results, leading to a waste of resources. As a result, cattle farming productivity is hampered and farmers' income decreases. The proposed solution is the use of appropriate technology (TTG) in the form of a grass chopping machine powered by a Solar Power Plant (PLTS). The machine is designed to speed up and improve the efficiency of the fodder chopping process. The benefits include increased efficiency and effectiveness of feed chopping, a more environmentally friendly process by utilizing solar energy, and ease in controlling and monitoring machine operations. The process of planning and designing this technology involved direct observation, detailed note-taking and interviews with business partners, aiming to produce a sustainable TTG solution that provides long-term benefits to Lembu Ndeso farmers. Thus, this technology is expected to help farmers manage their animal feed more efficiently and improve the welfare of farmers.

RANCANGAN KONTROL DAYA RESISTIF BERDASARKAN MIKROKONTROLER DENGAN TRIAC -, Aripriharta; Saputra, Imam; Adiguna, Satria; Habibi, Muhammad Afnan; Afandi, Arif Nur; Setiawan, Aditya Wahyu; Bagaskoro, Muhammad Cahyo
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Publisher : RELE (Rekayasa Elektrikal dan Energi) : Jurnal Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rele.v7i1.18958

Desain pengontrolan daya resistif menggunakan mikrokontroler dengan TRIAC adalah topik utama penelitian ini. Sakelar TRIAC dihubungkan antara sumber AC dan beban, sehingga aliran daya dapat dikontrol dengan memvariasikan tegangan efektif yang diberikan ke beban. Pengontrol kecepatan motor induksi tiga fase, kontrol pencahayaan, dan pemanas industri sering menggunakan teknik ini, yang disebut sebagai regulasi tegangan AC. Untuk memahami prinsip kerja sistem ini, diperlukan eksperimen dengan modul kontrol Daya. Penggunaan TRIAC berbasis mikrokontroler sebagai objek penelitian untuk desain pengontrolan daya resistif melibatkan simulasi rangkaian pemicu TRIAC dengan mikrokontroler AT89S51. Prinsip kontrol daya resistif dengan TRIAC adalah mengatur aliran daya ke beban dengan menunda sudut pemutusan thyristor. Mikrokontroler AT89S51 berperan sebagai pengontrol utama, mengambil keputusan berdasarkan informasi dari sensor zero-crossing detector. Pengujian dilakukan dengan menambahkan lampu sebagai beban. Temuan percobaan menunjukkan bahwa mengubah tegangan pemicu berdampak pada tegangan output, yang pada akhirnya mempengaruhi variasi kecerahan lampu dan peningkatan arus output. Berdasarkan analisis, sudut pemutusan menurun seiring dengan naiknya tegangan output thyristor. Hubungan antara perubahan tegangan output dan penyesuaian sudut pemutusan thyristor sangat penting untuk aplikasi kontrol daya. Untuk mencapai pengaturan daya resistif yang efisien dengan menggunakan TRIAC, pembahasan ini juga menekankan pentingnya komponen seperti mikrokontroler dan sensor zero-crossing detector.

Queen honey bee migration (QHBM) optimization for droop control on DC microgrid under load variation Aripriharta, Aripriharta; Al Rasyid, Mochammad Syarifudin; Bagaskoro, Muhammad Cahyo; Fadlika, Irham; Sujito, Sujito; Afandi, Arif Nur; Omar, Saodah; Rosmin, Norzanah
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.742

Transmission line impedance in DC microgrids can cause voltage dips and uneven current distribution, negatively impacting droop control and voltage stability. To address this, this study proposes an optimization approach using heuristic techniques to determine the optimal droop parameters. The optimizcv ation considers reference voltage constraints and virtual impedance at various load conditions, particularly resistive. The optimization problem is addressed using two techniques: queen honey bee migration (QHBM) and particle swarm optimization (PSO). Simulation results show that QHBM reaches an error of 0.8737 at the fourth iteration. The QHBM and PSO algorithms successfully optimized the performance of the DC microgrid under diverse loads, with QHBM converging in 5 iterations with an error of about 0.8737, and PSO in 40 iterations drawn error is 0.9 while keeping the current deviation less than 1.5 A and voltage error less than 0.5 V. The deviation of current control and virtual impedance values are verified through comprehensive simulations in MATLAB/Simulink.

Pengembangan Prototipe PLTPH Untuk Efisiensi Energi Penerangan Jalan Di Desa Ngisong Kota Batu Aripriharta, Aripriharta; Fazi, Muhammad Yusril; Bagaskoro, Muhammad Cahyo; Nikmah, Revalina Nazilatun
Jurnal Teknik Elektro Indonesia Vol 5 No 2 (2024): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v5i2.571

Saat ini keperluan energi listrik semakin bagus dan meningkat baik untuk keperluan pabrik maupun domestik, akan tetapi selama ini energi listrik terutama dihasilkan dari sumber daya yang tidak terbarukan (batubara), yang akan semakin menipis seiring dengan peningkatan penggunaannya. Antara lain solusi untuk kasus ini adalah dengan menggunakan sumber daya terbarukan seperti air, udara, angin dan panel surya. Energi terbarukan merupakan energi alam yang dapat digunakan secara bebas dan langsung. Selain itu, energi terbarukan tersedia tanpa batas waktu dan dapat digunakan secara terus menerus. Salah satunya adalah penggunaan aliran pegas, yang berpotensi dapat diubah menjadi energi listrik. Fakta menunjukkan potensi besar untuk memanfaatkan sumber daya yang ada di semua wilayah untuk menghasilkan listrik dengan proses teknologi PLTPH. Dengan ini, PLTPH diharapkan menjadi salah satu pembangkit yang dapat digunakan untuk kebutuhan masyarakat, khususnya masyarakat di Desa Nghi Son, Punten. PLTPH merupakan teknologi yang memanfaatkan ketinggian air terjun untuk mengubah saluran irigasi, sungai, air terjun, dan saluran drainase lainnya di sekitar kita menjadi energi listrik. Jadi, ia terdiri dari 3 bagian utama: air sebagai sumber listrik, turbin dan akhirnya generator. Kemudian hasil dari putaran turbin akan dirubah menjadi energi listrik oleh generator.

Hand image reading approach method to Indonesian Language Signing System (SIBI) using neural network and multi layer perseptron Bagaskoro, Muhammad Cahyo; Prasojo, Fadillah; Handayani, Anik Nur; Hitipeuw, Emanuel; Wibawa, Aji Prasetya; Liang, Yoeh Wen
Science in Information Technology Letters Vol 4, No 2 (2023): November 2023
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/sitech.v4i2.1362

Classification complexity is the main challenge in recognizing sign language through the use of computer vision to classify Indonesian Sign Language (SIBI) images automatically. It aims to facilitate communication between deaf or mute and non-deaf individuals, with the potential to increase social inclusion and accessibility for the disabled community. The comparison of algorithm performance in this research is between the neural network algorithm and multi-layer perceptron classification in letter recognition. This research uses two methods, namely a neural network and a multi-layer perceptron, to measure accuracy and precision in letter pattern recognition, which is expected to provide a foundation for the development of better sign language recognition technology in the future. The dataset used consists of 32,850 digital images of SIBI letters converted into alphabetic sign language parameters, which represent active signs. The developed system produces alphabet class labels and probabilities, which can be used as a reference for the development of more sophisticated sign language recognition models. In testing using the neural network method, good discrimination results were obtained with precision, recall and accuracy of around Â±81%, while in testing using the multi-layer perceptron method around Â±86%, showing the applicative potential of both methods in the context of sign language recognition. Testing of the two normalization methods was carried out four times with comparison of the normalized data, which can provide further insight into the effectiveness and reliability of the normalization technique in improving the performance of sign language recognition systems.

KOLABORASI UNIVERSITAS NEGERI MALANG DENGAN PERHIMPUNAN PELAJAR INDONESIA (PPI) TAIPEI DALAM PELATIHAN DIGITAL MARKETING UNTUK BURUH MIGRAN DI TAIWAN Aripriharta, Aripriharta; Wibawa, Aji Prasetya; Andriansyah, Muhammad Rizal; Nasih, Ahmad Munjin; Purwatiningsih, Ayu; Faidzin, Ilham; Bagaskoro, Muhammad Cahyo
Kumawula: Jurnal Pengabdian Kepada Masyarakat Vol 7, No 3 (2024): Kumawula: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kumawula.v7i3.51062

The collaboration between PPI Taipei and UM aims to equip migrant workers in Taiwan with digital marketing skills that are essential in the global era. The challenges of fierce competition in the job market demand an understanding of business technology. However, limited access and resources are obstacles for them to acquire these skills. To address this, "Smart Apps" was created specifically to help migrant workers and Muslim students in Taiwan. The main objective of this activity is to provide quality digital marketing training for migrant workers in Taiwan through the "Smart Apps" application. It is hoped that an understanding of digital marketing strategies will provide independence to migrant workers in finding job opportunities and making a positive contribution to Taiwan's economy. This overseas service activity is designed using an implementative method, starting from the design and implementation of applications in Taipei city. Random participation from PPI Taipei students, migrant workers, and travelers will be involved in the training and application development process.Kolaborasi antara Perhimpunan Pelajar Indonesia (PPI) Taipei dan Universitas Negeri Malang (UM) bertujuan membekali buruh migran di Taiwan dengan keterampilan digital marketing yang penting dalam era global. Tantangan persaingan ketat di pasar kerja menuntut pemahaman akan teknologi bisnis. Namun, keterbatasan akses dan sumber daya menjadi hambatan bagi mereka dalam memperoleh keterampilan tersebut. Untuk mengatasi hal ini, diciptakan aplikasi "Smart Apps" yang secara khusus ditujukan untuk membantu buruh migran dan pelajar Muslim di Taiwan. Tujuan utama kegiatan ini adalah memberikan pelatihan digital marketing yang berkualitas bagi buruh migran di Taiwan melalui aplikasi "Smart Apps". Diharapkan, pemahaman tentang strategi digital marketing akan memberikan kemandirian kepada para buruh migran dalam mencari peluang kerja serta memberi kontribusi positif pada ekonomi Taiwan. Kegiatan pengabdian luar negeri ini dirancang menggunakan metode implementatif, dimulai dari perancangan dan implementasi aplikasi di kota Taipei. Partisipasi secara acak dari pelajar PPI Taipei, buruh migran, dan pelancong akan terlibat dalam proses pelatihan dan pengembangan aplikasi. Berdasarkan hasil pengabdian, program pelatihan digital marketing untuk buruh migran Indonesia di Taiwan yang diselenggarakan melalui kolaborasi antara Universitas Negeri Malang dan PPI Taipei berhasil meningkatkan pengetahuan dan keterampilan peserta dalam pemasaran digital, mengembangkan aplikasi "Smart Apps" untuk membantu mencari informasi restoran halal, serta menunjukkan sinergi positif antara universitas dan organisasi mahasiswa dalam memberikan kontribusi kepada masyarakat.

Load forecasting analysis for estimating transformer capacity of Karangkates Substations using Holt-Winters method in Python Rahmawati, Yuni; Kaki, Gregorius Paulus Mario Laka; Aripriharta, Aripriharta; Sujito, Sujito; Afandi, Arif Nur; Wibawa, Aji Prasetya; Purwatiningsih, Ayu; Bagaskoro, Muhammad Cahyo; Omar, Saodah; Rosmin, Norzanah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2222-2233

In the six years from 2010 to 2015, the peak load in the East Java region increased by an average of 284MW per year. Karangkates Substation is part of an interconnected electrical system that supplies Java Island. To ensure a high level of reliability in its service, it is necessary to prepare for load growth to make sure that it does not exceed its ideal conditions, therefore special analysis of transformer capacity is needed. Using the Holt-Winters (HW) method as a reference for processing the data can be used as a reference in planning and anticipating the growing electricity demand. The results of this study are with the accuracy of the HW method with mean absolute percentage error (MAPE) = 2.645%, while the accuracy of the fuzzy time series (FTS) method = 6.399%. A forecast result done with HW methods shows the transformer at the substation Karangkates reached its normal working capacity in March 2018 at 99.583% of installed capacity and exceeded the maximum capacity in April 2018 at 101.493% of installed capacity.

Test Hybrid PV System Performance Against Load Variations Aripriharta, Aripriharta; Amin, Muhammad Adib; Sujito, Sujito; Faiz, Mohamad Rodhi; Bagaskoro, Muhammad Cahyo; Susilo, Suhiro Wongso; Omar, Saodah
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 9, No 1 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v9i1.23284

The depletion of fossil fuels has driven significant changes in the global electricity system. Solar Power Plants (PLTS) as a renewable energy source have shown the potential to contribute up to 25% of global electricity generation by 2050. The electricity system often experiences disturbances that can affect its performance and reliability. This study examines the performance of a 1.2 kW hybrid PV system under various load conditions. The system was tested with load variations of 2%, 7%, 22%, and 26% to assess its efficiency and performance. Despite a slight voltage drop of 4V Vac (-1.82%) at higher loads, the hybrid PV system consistently maintained a voltage range of 216-220V Vac, which meets the standard requirements. The system demonstrated high efficiency, averaging over 95%, with a peak efficiency reaching 98.5% at 2% load. These results confirm the effectiveness, safety, and reliability of the system under various load conditions. The findings are based on direct testing and measurements of a 1.2 kW hybrid PV system to evaluate the impact of load variations on its performance. The 1.2 kW hybrid PV system has been proven to be effective, safe and reliable in the face of load variations. These findings support the potential implementation of hybrid PV systems as a future renewable energy solution in the electricity sector

MPPT Performance Analysis for PV Energy Harvesting Using Grey Wolf Optimization (GWO) Algorithm Aripriharta, Aripriharta; Syabani, Muhiban; Sendari, Siti; Wibawa, Aji Prasetya; Susilo, Suhiro Wongso; Bagaskoro, Muhammad Cahyo; Rosmin, Norzanah
ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i1.91643

Renewable energy is a key solution to meeting the growing demand for electricity while reducing reliance on non-renewable sources. Among various renewable technologies, photovoltaic (PV) systems are widely used in solar power plants (PLTS) to harness solar energy. However, PV efficiency is affected by environmental factors such as fluctuating solar irradiance and temperature, which cause instability in output voltage and power. To address these issues, Maximum Power Point Tracking (MPPT) techniques are applied to optimize power extraction. This study proposes the Grey Wolf Optimization (GWO) algorithm for MPPT and evaluates its performance through MATLAB/SIMULINK simulations under varying irradiance and temperature conditions. Inspired by the hunting behavior and social hierarchy of grey wolves, GWO dynamically adjusts the converter's duty cycle based on real-time voltage and current measurements to maximize output power. The study focuses on PV systems in Malang, Indonesia, and compares GWO with the Particle Swarm Optimization (PSO) method in terms of accuracy and stability. The results indicate that increased solar irradiance substantially enhances PV power output, while rising temperatures tend to reduce efficiency. The GWO algorithm achieves an average tracking accuracy of 94.5632%, slightly lower than the 96.9851% achieved by PSO. However, GWO demonstrates superior performance in terms of stability, with faster convergence and reduced oscillations during the tracking process. A comparison of system performance before and after applying the GWO method shows notable improvements in tracking consistency and power extraction efficiency, especially under dynamic environmental changes. The novelty of this study lies in its use of real-world environmental data collected over a 30-day period in a tropical setting, which is rarely addressed in previous GWO-based MPPT research. These findings highlight the potential of the GWO-based MPPT strategy to enhance PV system reliability and efficiency in real-time renewable energy applications.

Test Hybrid PV System Performance Against Load Variations Aripriharta, Aripriharta; Amin, Muhammad Adib; Sujito, Sujito; Faiz, Mohamad Rodhi; Bagaskoro, Muhammad Cahyo; Susilo, Suhiro Wongso; Omar, Saodah
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 1 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v9i1.23284

The depletion of fossil fuels has driven significant changes in the global electricity system. Solar Power Plants (PLTS) as a renewable energy source have shown the potential to contribute up to 25% of global electricity generation by 2050. The electricity system often experiences disturbances that can affect its performance and reliability. This study examines the performance of a 1.2 kW hybrid PV system under various load conditions. The system was tested with load variations of 2%, 7%, 22%, and 26% to assess its efficiency and performance. Despite a slight voltage drop of 4V Vac (-1.82%) at higher loads, the hybrid PV system consistently maintained a voltage range of 216-220V Vac, which meets the standard requirements. The system demonstrated high efficiency, averaging over 95%, with a peak efficiency reaching 98.5% at 2% load. These results confirm the effectiveness, safety, and reliability of the system under various load conditions. The findings are based on direct testing and measurements of a 1.2 kW hybrid PV system to evaluate the impact of load variations on its performance. The 1.2 kW hybrid PV system has been proven to be effective, safe and reliable in the face of load variations. These findings support the potential implementation of hybrid PV systems as a future renewable energy solution in the electricity sector

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