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Pendampingan Pelatihan Perencanaan, Pengoperasiaan dan Pengolaan PLT Mikrohidro Dalam Mendukung Program Pemerintah Meningkatkan Kompetensi SDM di Bidang Bauran Energi Terbarukan Sofia Saidah; Jangkung Raharjo; Koredianto Usman; Denny Darlis; Aris Hartaman; Tita Haryanti
Jurnal Abdimasa Pengabdian Masyarakat Vol 6 No 2 (2023): Jurnal ABDIMASA Pengabdian Masyarakat
Publisher : Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/jurnalabdimasa.v6i2.3739

Abstract

Pembangkit Listrik Tenaga Mikro Hidro (PLTMH) merupakan solusi alternatif yang penting dalam memenuhi kebutuhan energi listrik. PLTMH adalah pembangkit listrik skala kecil yang menggunakan tenaga air sebagai sumber energinya, seperti saluran irigasi, sungai, atau air terjun. Inovasi teknologi, seperti penerapan Internet of Things (IoT), mempermudah monitoring dan meningkatkan efisiensi dalam pengelolaan PLTMH. Pelatihan dan pengabdian kepada masyarakat juga penting untuk meningkatkan kompetensi SDM di bidang energi terbarukan. Implementasi PLTMH akan memberikan manfaat dalam memenuhi kebutuhan energi listrik secara lokal dan mengurangi ketergantungan pada sumber energi konvensional yang tidak ramah lingkungan. Dengan demikian, PLTMH merupakan solusi penting dalam membangun pembangunan berkelanjutan.
Penerapan Internet of Thing (IoT) Dalam Pengendalian Suhu, Kelembaban dan PH Air Kolam pada Mini EduFarm Efri Suhartono; Jaspar Hasudungan; Jangkung Raharjo; Ardio Pratama Putra; Firman Ag. Roni; Annisa Puji Lestari; Ahmad Zaky Rafif Muthafa; Dega Pradipta Ramadhan; Muh Zidni Makarim; Eka Sugiarto
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3723

Abstract

In cultivating fish using ponds, there are quite a number of parameters that must be considered in order to get the desired results and minimize failure in the cultivation of the fish itself. The problems that occur in fish farming according to the references obtained are the temperature and pH of the water that are not in accordance with the needs of the fish itself. Optimal water temperature conditions for intensive catfish maintenance are 25 – 30°C. Meanwhile, from time to time the temperature of the water can change due to certain factors. Based on the above problems, IoT technology is used which can identify and detect the data above, so that it can analyze the required data and automatic feeding with consistent time. Testing will be carried out by adjusting the data taken by the sensor used as well as the output from the tool itself by utilizing existing manual measuring instruments so that the data taken by the sensor itself is not in doubt the data taken by the sensor itself. Automatic temperature control devices and pool monitoring will be a solution to problems beyond human control. The tool will detect the pool temperature, if it feels like the pool water temperature needs to be warmed up, then the water will be channeled by a water pump to the heatsink attached to the cold side of the TEC, then the colder water will be put back into the pool, and vice versa when the pool water temperature feels cold. The monitoring system can make it easier for catfish breeders to monitor pond water conditions via mobile phones only with the web.
A New Method of Artificial to Solve the Optimization Problems without the Violated Constraints Jangkung Raharjo; Hermagasantos Zein; Adi Soeprijanto; Kharisma Bani Adam
JURNAL INFOTEL Vol 13 No 2 (2021): May 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i2.624

Abstract

There are some problems in optimization that cannot be derived mathematically. Various methods have been developed to solve the optimization problem with various functional forms, whether differentiated or not, to overcome the problem, which are known as artificial methods such as artificial neural networks, particle swarm optimization, and genetic algorithms. In the literature, it is said that there is an artificial method that frequently falls to the minimum local solution. The local minimum results are proof that the artificial method is not accurate. This paper proposes the Large to Small Area Technique for power system optimization, which works based on reducing feasible areas. This method can work accurately, which that never violates all constraints in reaching the optimal point. However, to conclude that this method is superior to others, logical arguments and tests with mathematical simulations are needed. This proposed method has been tested with 24 target points using ten functions consisting of a quadratic function and a first-order function. The results showed that this method has an average accuracy of 99.97% and an average computation time of 62 seconds. The proposed technique can be an alternative in solving the economic dispatch problem in the power system.
Fuzzy based sensorless tracking controller on the dual-axis PV panel for optimizing the power production Bandiyah Sri Aprilia; Muhammad Zakiyullah Romdlony; Jangkung Raharjo; Yogi Ghifari Sidik
JURNAL INFOTEL Vol 13 No 4 (2021): November 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i4.738

Abstract

In general active sun trackers move because they respond to light sensors that measure the intensity of sunlight. However, sensor-based trackers are usually more expensive than sensor-less trackers. In addition, based on several studies, a comparison between the sensor and sensorless based tracker only reports lower tracking error and higher power generation for sensor-based than sensorless tracker. However, it does not include an analysis of energy use on the sensor. Therefore, this study aims to design a sensorless closed-loop tracking system for solar panels with two degrees of freedom. The tracking controller in this study is based on the Fuzzy Logic Controller (FLC) method. In this study, a dual-axis PV can increase power output by 20.2% compared to a fixed PV (0 ° axis position). In comparison to a fixed PV, dual-axis PV adjusts the solar panel perpendicular to the sun's position to optimize electrical conversion.
RANCANG BANGUN ELECTRONIC LOAD CONTROLLER (ELC) PADA EMULATOR PEMBANGKIT LISTRIK TENAGA PIKO HIDRO Rifqy Assariy Victory; Kharisma Bani Adam; Jangkung Raharjo
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 11 (2023): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i11.4047-4053

Abstract

Sumber Daya Energi Terbarukan (EBT) yang memanfaatkan air adalah Pembangkit Listrik Tenaga Piko Hidro (PLTPh), yang cocok untuk daerah terpencil yang tidak terjangkau oleh jaringan listrik nasional. Namun, PLTPh menghadapi beberapa tantangan, termasuk masalah lokasi yang sulit diakses, biaya pembangunan yang tinggi, dan kekurangan tenaga kerja terampil di bidang tersebut. Untuk mengatasi kekurangan tenaga kerja terampil di bidang PLTPh, salah satu solusi yang dapat diimplementasikan adalah pengembangan "Emulator PLTPh." Emulator PLTPh adalah simulasi interaktif yang memungkinkan masyarakat umum, termasuk pelajar, untuk mempelajari sistem, cara kerja, dan fungsi dari Pembangkit Listrik Tenaga Piko Hidro. Emulator PLTPh akan memberikan informasi tentang prinsip dasar operasi PLTPh, komponen yang diperlukan, dan cara mengatur produksi listrik sesuai permintaan.Salah satu bagian dari emulator PLTPh adalah Electronic Load Controller (ELC), sebuah perangkat yang dapat mengalihkan energi berlebih yang dihasilkan oleh generator ke beban komplementer jika penggunaan beban utama lebih rendah, untuk menjaga frekuensi pada 50 Hz. Emulator ini akan menyediakan platform yang aman dan terkendali untuk menguji berbagai skenario tanpa perlu mengoperasikan sistem sebenarnya.Tujuan dari penelitian ini adalah agar emulator ini dapat digunakan untuk meningkatkan kualitas dan kuantitas sumber daya manusia dengan cara meningkatkan pengalaman belajar yang interaktif dan menarik bagi para mahasiswa. Selain itu, penggunaan emulator ini diharapkan dapat membantu peningkatan dan efisiensi sistem PLTPh menggunakan selokan untuk pengairan sawah dan kebun sayuran dan mengaplikasikannya untuk lampu penerangan jalan di Kec. Gununghalu, Kabupaten Bandung Barat, Jawa Barat.
Optimasi Kombinasi Biaya Bahan Bakar dan Emisi Pembangkit Energi Listrik menggunakan Teknik Reduksi Tempat Kedudukan RAHARJO, JANGKUNG
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 2: Published April 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i2.318

Abstract

ABSTRAKDalam pengoperasian pembangkit energi listrik bukan saja untuk mendapatkan biaya yang minimal, namun juga meminimalkan emisi yang dihasilkan atau dikenal dengan Combined Economic Emission Dispatch (CEED), karena emisi merupakan bagian dari permasalahan energi. Makalah ini mengusulkan teknik reduksi tempat kedudukan untuk memecahkan masalah CEED. Prinsip dasar dari teknik ini adalah menebarkan sejumlah kandidat pada tempat kedudukan, S0 yang dibentuk dari limit daya generator, dan ditentukan sebuah kandidat terbaik. S0 diperkecil dan proses diulangi hingga didapatkan tempat kedudukan yang sangat kecil dimana kandidat terbaiknya dapat dianggap sebagai titik optimal. Teknik ini lebih akurat dibandingkan dengan metoda lain seperti Gradient Method (GM), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), JAYA Algorithm dan Whale Optimization Algorithm (WOA). Hasilnya memberikan penghematan biaya tanpa melibatkan emisi masing-masing terhadap GM, ACO, PSO, WOA dan JAYA sebesar 9,24%, 3,91%, 0,56%, 0,47% dan 0,21%, serta bila melibatkan emisi sebesar 21,28%, 16,09%, 5,52%, 5,31% dan 5,04%.Kata kunci: CEED, reduksi tempat kedudukan, penghematan biaya, optimal, akurat. ABSTRACTIn an operating, generator units not only to get minimal costs but also to consider the emissions produced, known as the Combined Economic Emission Dispatch (CEED), because emission is part of the energy problem. This paper proposes a feasible area reduction technique for solving CEED problems. The basic principle of this technique is to spread number of candidates on a feasible area, S0 which is formed by generator limits from n generator units and the best candidate is determined. S0 is reduced and the process is repeated until a very small area is found, where the best candidate can be considered the solution. This technique is more accurate than other methods such as GM, ACO, PSO, JAYA Algorithm and WOA. The result provides cost savings without involving emission of GM, ACO, PSO, WOA and JAYA of 9.24%, 3.91%, 0.56%, 0.47% and 0.21% respectively, as well as when it involves emissions amounted to 21.28%, 16.09%, 5.52%, 5.31% and 5.04% respectively.Keywords: CEED, feasible area reduction, cost saving, optimal, accurate
Optimasi Economic Emission Dispatch menggunakan Whale Optimization Algorithm untuk Penentuan Biaya Reduksi Emisi MUFLIKHAH, INTAN LAILY; RAHARJO, JANGKUNG; SASTROSUBROTO, ASHWIN SASONGKO
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 2: Published April 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i2.468

Abstract

ABSTRAKPembangkit Listrik Tenaga Uap Batu bara menghasilkan zat SO2, CO2, NO2, dan partikel yang merupakan emisi dari proses pembakarannya. Emisi tersebut menyebabkan peningkatan efek pemanasan global, kerusakan lingkungan, dan merusak kesehatan. Dikarenakan pembangkit batu bara masih banyak digunakan di Indonesia maka Economic Emission Dispatch yang dikombinasikan dengan algoritma Whale Optimization Algorithm menjadi solusi dalam pengurangan emisi pembangkit listrik. Dengan cara memasukkan nilai weighted sum pada fungsi biaya dan emisi agar dapat dilihat pembangkit mana yang memiliki kadar emisi lebih rendah untuk memenuhi beban listrik yang dibutuhkan. Pada simulasi tersebut didapatkan pengurangan kadar emisi sebesar 12,73% dibandingkan tanpa menggunakan weighted sum dengan algortima WOA. Hal ini mampu untuk membantu program pemerintah dalam mengurangi emisi karbon agar tidak melebihi standar emisi yang telah ditetapkan sesuai dengan Peraturan Menteri Nomor P.15/MENLHK/SETJEN/KUM.1/4/2019.Kata kunci: PLTU batu bara, emisi, EED, WOA, weighted sum ABSTRACTCoal-fired power plants produce SO2, CO2, NO2, and particulate matter as emissions from the combustion process. These emissions cause increased global warming effects, environmental damage, and damage to health. coal plants are still widely used in Indonesia, Economic Emission Dispatch combined with the Whale Optimization Algorithm is a solution for reducing power plant emissions. By entering the weighted sum value in the cost and emission functions, it can be seen which plants have lower emission levels to meet the required electricity load. The simulation obtained a reduction in emission levels of 12.73% compared to not using weighted sum with the WOA algorithm. This method is able to help government programs in reducing carbon emissions so as not to exceed the emission standards that have been set in accordance with Peraturan Menteri Nomor P.15/MENLHK/SETJEN/ KUM.1/4/2019.Keywords: coal power plant, emission, EED, WOA, weighted sum
Data Adjustment for ARIMA Method to Investigate the Impact of Pandemic on Electricity Consumption Prediction in Indonesia Wijaya, I Gede Putu Oka Indra; Kristi, Meilinda Santa; Maharani, Nabila Sri; Raharjo, Jangkung
Emitor: Jurnal Teknik Elektro Vol 25, No 1: March 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i1.8676

Abstract

Indonesia's rapid population growth and industrial expansion have significantly increased electricity consumption over the past decades. However, the COVID-19 pandemic has had a profound impact on the energy sector, causing a sharp decline in electricity demand. This disruption not only altered electricity consumption patterns but also forced a downward revision of the national electricity consumption target by approximately 10% compared to the government's initial projection. Understanding these shifts is crucial for ensuring sustainable energy planning and policy development. This study aims to analyze the impact of the pandemic on electricity consumption and forecast electricity demand in Indonesia from 2021 to 2045 using the Autoregressive Integrated Moving Average (ARIMA) method. Two forecasting scenarios are examined: one incorporating data from 2020 and another excluding it. The results indicate that excluding the 2020 data yields a more realistic projection, estimating electricity consumption to reach 610,807.8 GWh by 2045. The predictive performance of the ARIMA model is validated with statistical metrics, achieving an RMSE of 2,807.25, MAE of 1,481.25, and MAPE of 5.47%, with an overall accuracy of approximately 94.53%. These findings demonstrate that the ARIMA method is a robust and reliable tool for long-term electricity demand forecasting in Indonesia. The insights gained from this study provide valuable guidance for policymakers and energy planners in designing resilient and adaptive strategies to accommodate future electricity demand while considering the impacts of unprecedented disruptions such as pandemics.
Equal Incremental Cost Method dengan Adjustable Gamma Control untuk Menyelesaikan Penjadwalan Pembangkit Rahmat, Basuki; Wijaya, I Gede Putu Oka Indra; Ikhsan, Rifki Rahman Nur; Yustika, Lindiasari Martha; Raharjo, Jangkung
JURNAL INFOTEL Vol 16 No 3 (2024): August 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i3.1170

Abstract

Generator scheduling remains an intriguing issue within the energy industry. It relates to the optimization of production costs, where system operators must select the optimal combination of available resources to minimize production costs. This paper proposes an enhancement to the Equal Incremental Cost (EIC) Method using Adjustable Gamma Control (AGC) in generator scheduling. Iterations begin with an initial lambda value, then gradually increase with the application of the factor until power demand is met. A variable of 10% is used as an adjustment step in the optimization method. The proposed method is capable of achieving convergence with 100% accuracy, where the power generated by all generators precisely matches the load demand (2,650 MW), at a cost of USD 32,289.03. EIC-AGC ranks second-best after VLIM, albeit with the consequence of consuming 195 seconds. This method is expected to have a significant impact on designing highly accurate economic dispatch techniques. Thus, generator scheduling will lead to a reduction in operational costs compared to current practices.
Characteristics of Electric Current in The Electrolysis of Acid and Alkaline Water Production for Health Kurniawan, Ekki; Raharjo, Jangkung; Manfaati, Rintis; Yulinda, Yulinda
al Kimiya: Jurnal Ilmu Kimia dan Terapan Vol. 12 No. 1 (2025): June 2025
Publisher : Department of Chemistry, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ak.v12i1.39460

Abstract

Acidic and alkaline water with potential health benefits can be produced through the process of electrolysis. In addition to the applied voltage, electric current is a crucial parameter in the electrolysis process. The energy consumed during electrolysis can be determined by measuring the voltage, electric current, and duration of operation. This study aims to investigate the characteristics of electric current during the electrolysis of mineral water to produce Electrolyzed Reduced Water (ERW) and Electrolyzed Oxidized Water (EOW), commonly referred to as alkaline and acidic water, respectively. The electrolysis current is monitored at specific time intervals (0, t₁, and t₂) throughout the process. In the initial stage (from 0 to t₁), the current increases exponentially, similar to the charging current behaviour of an inductor (L). In the second stage (from t₁ to t₂), the current decreases exponentially, resembling the discharge of a capacitor (C). In the final stage (after t₂), the current stabilizes and remains nearly constant, analogous to current flow through a resistor (R). A novel aspect of this study is the introduction of an equivalent RLC transient circuit model to describe the dynamic behaviour of electrolysis current. In this model, the electrolysis process is represented by a series RLC circuit with a switch operating sequentially at 0 (inductor charging), t₁ (capacitor discharging), and t₂ (resistive steady state). To the best of our knowledge, this RLC-based interpretation of electrolysis current behaviour in the context of ERW and EOW production has not been previously reported.
Co-Authors Adi Soeprijanto Aditya Pratama Ahmad Zaky Rafif Muthafa Aisy, Naura Safina Rahadatul Andhika Yoga Andi Zahra Bunga Zana Andre Danika Angga Rusdinar Anggawijaya, Arizsatrio Annisa Puji Lestari Arafah, M. Ilmil Madya Noor Ardiansyah, Faiz Rizqullah Ardio Pratama Putra ARIS HARTAMAN Atina Nur Azizah Augustina Asih Rumanti Avilsyah, Toriq Avrilya, Nadya Ainun Bambang Hidayat Bambang Hidayat Bambang Setia Nugroho Bandiyah Sri Aprilia Bandiyah Sri Aprillia Basuki Rahmat Masdi Siduppa Burhanuddin Dirgantoro Cakrayudha, Satria Galih Dalimunthe, Farras Furqon Dega Pradipta Ramadhan Denny Darlis Desri Kristina Silalahi Devano, Riandra Dwi Bayu Leksono Efri Suhartono Eka Sugiarto Ekki Kurniawan Elia Kurniawati Fadlil Azimi Syafli Fajar Dwi Septria Fajar Kurniawan Alhamal Farhan, Mhd Althalif Firman Ag. Roni Fitria, Ismaulida Nur Fityanul Aditya Frisnanda Aditya Gelar Budiman Gusmanda, Ilham Haidy Anazmar Hanifah, Dyatisa Hasbiya Ghifari Alfarizi Hermagasantos Zein Hernawan Kurniansyah Hilman Fauzi, Hilman I Gede Putu Oka Indra Wijaya I Nyoman Apraz R I Nyoman Apraz Ramatyana Ilma Mufidah Indra Wijaya, Igpo Inung Wijayanto Irma Safitri Irwan Purnama Isnaeny Rahmawanthi Iwa Swandana Iwan Iwut Tritoasmoro Jaspar Hasudungan Kahfi Fadhlan Maulana Khalisa Sasikirana Athaya Kharisma Bani Adam Khifdil Lisanah, Okta Koredianto Usman Kristi, Meilinda Santa Kumara, Ghanendra Amru Ledya Novamizanti Leksmana, Alviandra Pratama Lilis Setiono Maharani, Nabila Sri Mahendra, Dio Mamat Rokhmat Manfaati, Rintis Mohamad Iqbal Muayyadi, Achmad Aly MUFLIKHAH, INTAN LAILY Muh Hisyam Siddiq Muh Zidni Makarim Muh, Ipnu Udjie Hasiru Muhammad Alif Rizqi Hatmadiansyah Muhammad Samsul Muarif Muhammad Zakiyullah Romdlony Nachwan Mufti Adriansyah Nizhar Arya Hamitha Nor Kumalasari Caecar Pratiwi Novi Prihatiningrum Nugroho, Fahriza Amartya Nur Andini Nur Ibrahim Nur Ikhsan, Rifki Rahman Pasa, Faris Alfaroby Pratama, Ariza Rizky Putri Marito Putri, Aquila Anandya Putri, Nabila Hatami R. Yunendah Nur Fu’adah Rahman, Daffa Sahrul Rahmawan Ilham Al Fatha Ramadhan, Muhammad Agung Reformatio, Fairoez Nauval Rendi Bagus Oklanri Ridho Nurbagja Gumelar Rifki Rahman Nur Ikhsan Rifqy Assariy Victory Rissa Rahmania Rita Magdalena Rizqi Muhammad Rufus Ocsan Saiful Azis Salsabila, Siti Marwa Sambono, Oranda Aracelly Saputra, Muhamad Farid Yahya SASTROSUBROTO, ASHWIN SASONGKO Sayidina Ariq Farhan Silviana, Rena SOFIA SAIDAH Sudiana Sudiana, Sudiana Suryo Adhi Wibowo Sutomo Sutomo Suyatno Budiharjo Syamsul Rizal Syamsul Rizal Thoriq Bayu Aji Tita Haryanti Tri Siswanto Yogi Ghifari Sidik Yulinda yulinda Yunita, Putri Marhamah Yustika, Lindiasari Martha Yusuf Nur Wijayanto