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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Tekno : Jurnal Teknologi Elektro dan Kejuruan Jurnal Penelitian Saintek Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Journal of Engineering and Technological Sciences Jurnal Edukasi dan Penelitian Informatika (JEPIN) ELINVO (Electronics, Informatics, and Vocational Education) The Asian Journal of Technology Management (AJTM) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Ampere Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization Sistem : Jurnal Ilmu-Ilmu Teknik INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Sarwahita : Jurnal Pengabdian Kepada Masyarakat Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Jurnal Teknologi Informasi dan Pendidikan Buletin Ilmiah Sarjana Teknik Elektro Jurnal Karinov Jurnal Teknika Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Frontier Energy System and Power Engineering Mechanical Engineering for Society and Industry Jurnal Fortech SinarFe7 Journal FORTEI-JEERI Prosiding Seminar Nasional Pengabdian Kepada Masyarakat JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) JEECS (Journal of Electrical Engineering and Computer Sciences) Khidmatuna: Journal of Research and Community Service Prosiding Seminar Nasional Pengabdian kepada Masyarakat (SINAPMAS) KOPEMAS Journal of Engineering and Technological Sciences Journal Electrical and Computer Experiences Jurnal FORTECH
A.N. Afandi
Universitas Negeri Malang
Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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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

Abstract

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.
Investigation of the usage of zigzag transformers to reduce harmonics distortion in distribution systems Gumilar, Langlang; Wicaksono, Ibram Adib; Afandi, Arif Nur; Samat, Ahmad Asri Abd; Sias, Quota Alief
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 14, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2023.v14.138-149

Abstract

The increasing use of power electronics in various sectors leads to harmonic distortion in electric power systems, affecting power quality and equipment longevity. While harmonic filters have been used to address this issue, they are limited in effectiveness, particularly in reducing distortion across the entire distribution system. This study aims to reduce harmonic distortion using a zigzag transformer as a more comprehensive solution in mitigating harmonic distortion throughout the entire distribution system. In this research, the zigzag transformer was placed at point common coupling to reduce harmonic distortion in the distribution system as a whole. A zigzag transformer connection was configured by connecting either three windings of a single-phase transformer or one winding of a three-phase transformer. Based on the results of this research, the total harmonic distortion (THD) value has decreased from 25.26 % to 2.48 % following the implementation of the zigzag transformer. This substantial decrease in THD concludes the zigzag transformer's effectiveness as a solution for improving power quality in electrical distribution systems.
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

Abstract

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.
Peningkatan Keberdayaan Masyarakat Melalui Smart Tourism dan Penguatan Manajemen di Wisata Pandansili Ali, Machrus; Jatmiko, Anang; Dwiningwarni, Sayekti Suindyah; Afandi, Arif Nur
Jurnal KARINOV Vol 6, No 3 (2023): September
Publisher : Institute for Research and Community Service (LP2M), Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um045v6i3p185-189

Abstract

Pariwisata menjadi salah satu prioritas riset untuk transformasi ekonomi Indonesia. Inovasi teknologi dengan efisiensi energi sangat diperlukan untuk pemberdayaan dan pengembangan Kelompok Sadar Wisata (Pokdarwis). Inovasi teknologi tidak boleh mencemari atau merusak alam disekitarnya, diperlukan inovasi energy baru terbarukan (EBT). Desa wisata pandansili merupakan wisata pemandian yang dibangun sejak jaman Belanda. Karena factor usia dan kurang pengelolaan, wisata ini dibagun kembali oleh masyarakat mulai tahun 2019. Diperlukan perancangan Teknologi inovasi yang ramah lingkungan. Solusi yang ditawarkan adalah rancang bangun Pembangkit Listrik Tenaga Surya (PLTS) on Grid dan Smart Tourism berbasis Internet of Thing sebagai salah satu solusi efisiensi energi. Untuk pemberdayaan masyarakat ditawarkan pelatihan rancang bangun PLTS, pelatihan aplikasi Internet of Things (IoT), dan rancang bangun website pandansili yang terintegrasi dengan Sistem Administrasi Berita Data DesO Dan PeLayanan ONline (SABDOPALON) desa Ngampungan dan social media (sosmed) wisata pandansili. Dengan adanya pelatihan dan pendampingan, Pokdarwis bisa mempraktekkan instalasi PLTS dan penggunaan IoT. Dengan adanya website pandansili masyarakat bisa mendapatkan informasi dan perkembangan wisata pandansili dan desa Ngampungan pada umumnya. Kata kunci— Desa Wisata, Internet of Things, Pemberdayaan Masyarakat, Smart Tourism Abstract Tourism is one of the research priorities for Indonesia's economic transformation. Technological innovation with energy efficiency is very necessary for the empowerment and development of Tourism Awareness Groups (Pokdarwis). Technological innovation must not pollute or damage the surrounding nature, new renewable energy (EBT) innovation is needed. The Pandansili tourist village is a bathing tourism village that was built in the Dutch era. Due to age factors and lack of management, this tourist attraction was rebuilt by the community starting in 2019. Environmentally friendly innovative technology design is required. The solution offered is the design of a Solar Power Plant (PLTS) on Grid and Smart Tourism based on the Internet of Things as an energy efficiency solution. To empower the community, training on PLTS design, Internet of Things (IoT) application training is offered, and Pandansili website design which is integrated with the Ngampungan village DesO Data News and ONline Service Administration System (SABDOPALON) and Pandansili tourism social media (sosmed). With training and assistance, Pokdarwis can practice PLTS installation and use of IoT. With the Pandansili website, people can get information and developments on Pandansili tourism and Ngampungan village in general. Keywords— Tourism Village, Internet of Things, Community Empowerment, Smart Tourism
Power System Analysis of Steam Power Plant Using ETAP at ULPL Indralaya South Sumatra Umi Rasyda, Thriska Dewi; Afandi, Arif Nur; Rahmawati, Yuni
Jurnal Teknologi Informasi dan Pendidikan Vol. 16 No. 2 (2023): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v16i2.785

Abstract

PT PLN (Persero) UPDK Keramasan have three group work units in South Sumatra Province which is study has located in Ogan Ilir Regency namely PT. PLN ULPL Indralaya. This study is one steam turbine generator unit often experiences shutdown due to several factors. One of them is out of service for the protection operating system on the 4 MVA to 11.5/6.9 kV transformer unit when there is a disturbance so that there is an inter-trip to the upstream system which results in a blackout system. We analyzed the disturbance using ETAP software. We made three analyzes there are load flow, short circuit and relay coordination. As study results submitted to PT PLN ULPL Indralaya is to scenario 3 for the analysis of the resulting lower flow is a decrease in load of about 63% for short circuit value obtained between 0.011 to 50.776 kA also relay coordination should be adding devices such as IDMT curve Long Time Inverse.
Hybrid deep learning for estimation of state-of-health in lithium-ion batteries Cahyani, Denis Eka; Gumilar, Langlang; Afandi, Arif Nur; Wibawa, Aji Prasetya; Junoh, Ahmad Kadri
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp995-1006

Abstract

Lithium-ion (li-ion) batteries have a high energy density and a long cycle life. Lithium-ion batteries have a finite lifespan, and their energy storage capacity diminishes with use. In order to properly plan battery maintenance, the state of health (SoH) of lithium-ion batteries is crucial. This study aims to combine two deep learning techniques (hybrid deep learning), namely convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM), for SoH estimation in li-ion batteries. This study contrasts hybrid deep learning methods to single deep learning models so that the most suitable model for accurately measuring the SoH in lithium-ion batteries can be determined. In comparison to other methodologies, CNN-BiLSTM yields the best results. The CNN-BiLSTM algorithm yields RMSE, mean square error (MSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) in the following order: 0.00916, 0.000084, 0.0048, and 0.00603. This indicates that CNN-BiLSTM, as a hybrid deep learning model, is able to calculate the approximate capacity of the lithium-ion battery more accurately than other methods.
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

Abstract

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.
OPTIMASI KUALITAS DAN UMUR SIMPAN SUSU PADA SUHU CHILLER (-10°C) DI SCIENCE TECHNO PARK (STP) DILLEM WILIS Markus Diantoro; Hafizh Prihtiadi; Arif Nur Afandi; Millah Nurhamidah; Avinly Muhammad Najib Abdullah
Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024 Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5
Publisher : Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Saat ini, di wilayah Dillem Wilis, Dinas Pertanian dan Pangan Kabupaten Trenggalek sedang mengembangkan produk susu sapi perah. Salah satu sumber pendapatan utama masyarakat di sekitar Dilem Willis adalah peternakan susu, yang menyebabkan banyak kendang sapi di sekitar Kawasan Dilem Willis. Mempromosikan susu sapi perah masyarakat Dilem Willis ke pasar luar kota adalah salah satu inisiatif yang dilakukan oleh Dinas Pertanian dan Pangan Kabupaten Trenggalek. Dinas Pertanian dan Peternakan Kabupaten Trenggalek menghasilkan 20 ekor sapi perah, terdiri dari 15 ekor sapi induk dan 10 ekor anakan. Biasanya, hasil susu yang dihasilkan oleh Dinas Pertanian dan Pangan dan masyarakat di Kawasan Dillem Wilis dijual langsung ke penampung susu untuk diproses menjadi susu dalam botol, yang kemudian dijual di Caffee TTP Dillem Willis. Namun, produk susu botol yang dijual hanya bertahan satu hari dalam lemari pendingin. Untuk meningkatkan nilai ekonomi dan memasarkan produk susu sapi perah Kawasan Dillem Willis ke luar kota, Dinas Pertanian dan Pangan Kabupaten Trenggalek harus melakukan inovasi dalam teknologi pengolahan susu. Salah satu inovasi dalam pengolahan susu adalah teknologi pendingin suhu -10 derajat Celcius. Teknologi ini meningkatkan kualitas susu, dan umur simpan susu menjadi lebih lama dan steril. Di antara tugas yang dilakukan adalah mengunjungi lokasi mitra, merencanakan inovasi untuk produk susu, mengembangkan produk pengolah susu sesuai dengan rancangan, menyerahkan produk, menyusun dokumentasi dan laporan akhir, dan menerbitkan publikasi.
Metaheuristic Optimization in Dynamic Unit Commitment of Power Systems: Current Trends and Future Prospects Widayanti, Lilis; Afandi, Arif Nur; Herwanto, Heru Wahyu; Fitria, Vivi Aida
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.2423

Abstract

This paper discusses various optimization algorithms, a mathematics and computer science method essential to solving challenging real-world problems. The presented real-world scenario centers on a power system with dynamic unit commitment. Power systems involve many variables and constraints that can be changed. Metaheuristic optimization can be an effective method for finding an excellent solution to a problem. Dynamic unit commitment optimization is a critical aspect of power system operation. Dynamic unit commitment discusses determining the operating schedule of generating units and how much their production capacity is at each specific time interval to minimize production costs. This research aims to investigate the current trends and future challenges in applying metaheuristic optimization algorithms to power system problems, using the PRISMA approach to conduct a systematic literature review (SLR). This research starts by formulating research questions: what metaheuristic methods can be employed to tackle dynamic unit commitment challenges in power systems, and how effective are these methods in optimization? We established specific criteria for including and excluding studies, such as choosing articles published in English and concentrating on unit commitment in power systems. Out of the 487 papers discovered from the abstracts, only 14 were chosen for review after an extensive screening process based on complete studies that specifically addressed dynamic unit commitment. The conducted analysis provided insights into the accuracy and efficiency levels attained when using metaheuristic algorithms to solve the dynamic unit commitment problem. The research underscores the pivotal role of metaheuristic optimization in modern energy and power systems, highlighting its significance in tackling diverse challenges associated with enhancing the efficiency and effectiveness of power system utilization. Using metaheuristics in academic research has significantly improved scientific publications, resulting in an average annual increase of 43% in citations. This research's real contribution to the academic field is to provide an alternative reference for approximately 66 ASEAN universities with power system engineering majors. 
Robust SVM optimization using PSO and ACO for accurate lithium-ion battery health monitoring Putra, Mufti Reza Aulia; Nizam, Muhammad; Mujianto, Agus; Adriyanto, Feri; Santoso, Henry Probo; Afandi, Arif Nur; Gunadin, Indar Chaerah
Mechanical Engineering for Society and Industry Vol 5 No 1 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.12280

Abstract

The increasing demand for reliable lithium-ion battery in various applications is focused on the need for accurate State of Health (SOH) predictions to prevent performance degradation and potential safety risks. Therefore, this research aimed to improve the accuracy of SOH prediction by integrating Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) with Support Vector Machine (SVM) to overcome the overfitting problem in traditional machine learning models. The dataset used consisted of data from 1000 cycles of lithium-ion battery, collected under laboratory conditions. Data from lithium-ion battery cycles were analyzed using optimized PSO-SVM and ACO-SVM models. These models were evaluated using Mean Square Error (MSE) and Root Mean Square Error (RMSE) metrics, showing significant improvements in prediction accuracy and model generalization. The results showed that although both optimized models were superior to the baseline SVM, PSO-SVM had higher generalization performance during testing. The higher performance was due to the effective balance between exploring the search space and exploiting optimal solutions, making it more suitable for real-world applications. In comparison, ACO-SVM showed superior performance in training data accuracy but was more prone to overfitting, suggesting the potential for scenarios prioritizing high training accuracy. These results could be applied to extend the lifespan of lithium-ion battery, contributing to enhanced reliability and cost-effectiveness in applications.
Co-Authors Abdillah, Hartawan Abdullah Iskandar Syah Achmad Fakhri Achmad Syahrudin Fakhri Ade Siyanti Nurul Hidayah Adiguna, Satria Adriyanto, Feri Afandi, Farrel Candra Winata Afina, Nimas Aji Prasetya Wibawa Al Rasyid, Mochammad Syarifudin Aldilla Qurrata Ayun Aldilla Qurrata A’yun Andoko Andoko, Andoko Andriansyah, Muhammad Rizal Andrik Kurniawan Anik Nur Handayani Anisah, Masayu Anjar Nur Ramadhani Ardina, Andi Ahyina Ari wibowo, Sulton Arie Muazib Aripriharta - Asfani, Khoirudin Asnun Parwati Avinly Muhammad Najib Abdullah Aziz Prapta Dira Bagaskoro, Muhammad Cahyo Bayu Prasetyo Bayu Prasetyo Bayu Prastyo Bayu Prastyo Cahyo, Agung Dwi Cholil Hasyim Dedes, Khen Denis Eka Cahyani Dwi Prihanto Eka Mistakim Evelina Evelina Faiz Syaikhoni Aziz Faiz Syaikhoni Aziz Faiz Syaikhoni Aziz, Fakhri, Achmad Syahrudin Falah, Moh. Zainul Farrel Candra W.A. Farrel Candra Winata Afandi Fatchurrochman Fatchurrochman Felix Andika Dwiyanto Fitria, Vivi Aida Fujita, Goro Fujita, Goro Goro Fujita Gunadin, Indar Chaerah Gunawan, M. Ricko Hafizh Prihtiadi Hari Putranto Hartawan Abdillah Herlin Pujiarti Heru Wahyu Herwanto HIDAYATULLAH, MUHAMMAD REFQI Hsien-I Lin I Made Wirawan Imam Saputra Irham Fadlika Jatmiko, Anang Joko Utomo Joumil Aidil Saifuddin Junoh, Ahmad Kadri Kaki, Gregorius Paulus Mario Laka Kamil Faqih Korba, Petr Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo Kotaro Hirasawa Langlang Gumilar Leonel Hernandez, Leonel Lia Sugesti Lia Sugesti Lilis Widayanti M. Rodhi Faiz M. Zainal Arifin Machrus Ali Markus Diantoro Mega Agustina Millah Nurhamidah Misbahul Munir Mistakim, Eka Mohamad Rodhi Faiz Mokh Sholihul Hadi Muhammad Afnan Habibi Muhammad Andriansyah Muhammad Nizam Muhammad Rizal Andriansyah Mujianto, Agus Muladi Mu’ammar Faris Labib Nabila Hari Arimbi Nasikhudin Nedim Tutkun Nibrosoma, Ahmad Dhaffa Nurul Agung Pratama Nurul Agung Pratama Nuviya Illa Muthi Aturroifah Octavia D.P. Yuan Omar, Saodah Pekik Argo Dahono Purwatiningsih, Ayu Putra Utama, Agung Bella Putra, Mufti Reza Aulia Quota Sias Qurrata Ayun, Aldilla Rahmadhani, Nur Aini Syafrina Rahmatullah Aji Prabowo Rasyad, Sabilal Rizal Kholif Nurrohman Roseno, Taufik Rosmin, Norzanah Ruslan Hidayat Samat, Ahmad Asri Abd Samsurizal Samsurizal Santoso, Henry Probo Sari, Resi Kumala Sayekti Suindyah D Setiawan, Aditya Wahyu Sevilla, Felix Rafael Segundo Shandy Krisnawan Shelya Nova Candra Kirana Sias, Quota Alief Silvia Nurlaili Agustina Sitanggan, Mario Martinus Land Siti Sendari Slamet Wibawanto Sujito Sujito Sulistyo, Danang Arbian Sulton Ari wibowo Tutkun, Nedim Umi Rasyda, Thriska Dewi Vivi Aida Fitria Wahyu Pribadi Wahyu Pribadi Wahyu Tri Handoko Wayan Firdaus Mahmudy Wibawa, Aji Presetya Wicaksono, Ibram Adib Yogi Dwi Mahandi Yuan Octavia Yuan Octavia D.P Yuan Octavia D.P Yuan, Octavia D.P. Yuni Rahmawati Yunis Sulistyorini Yunis Sulistyorini Yunis Sulistyorini, Yunis Zaeni, Ilham Ari Elbaith Zulkifli, Shamsul Aizam