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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 Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik 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 JE-Unisla Jurnal Teknika Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Frontier Energy System and Power Engineering 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 Jurnal Inovasi Teknologi dan Edukasi Teknik Prosiding Seminar Nasional Pengabdian kepada Masyarakat (SINAPMAS) KOPEMAS Journal of Engineering and Technological Sciences Journal Electrical and Computer Experiences Jurnal FORTECH Energy: Jurnal Ilmiah Ilmu-ilmu Teknik Jurnal JEETech
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 Earth & Planetary Sciences 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 Other

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Aplikasi ORCA Algorithm Pada Optimasi Penyediaan Daya Sistem Berbasis Mobilitas Kendaraan Listrik A.N. Afandi; Farrel Candra W.A; Machrus Ali
Jurnal JEETech Vol. 4 No. 2 (2023): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v4i2.4204

Abstract

In reality, the electric power system is run by combining several production units to commit to meeting changes in load demand at each operating time. Apart from that, it also takes into account efforts to reduce overall costs while maintaining the specified technical limits. The general thing that is often done to achieve this condition is carried out with an economical operational approach which leads to minimizing operational costs. During 24 hour operations, the model that is often used is Dynamic Economic Operation (DEO) which takes into account changes in load demand over a 24 hour seven day period. This study uses the IEEE-62 bus system as a model, which is optimized using the Orca Algorithm. The load flexibility pattern is based on the effect of charging integration for Electric Vehicles (EV). The simulation results show that the Orca algorithm solves problems with fast iteration and provides the best results. The Orca algorithm provides good levels of convergence, power output and overall operational costs. EV distances and routes also have varying driving characteristics and varying power utilization. In terms of travel modes, which include one way and two trips, it has a mobility of 208,000 EVs, with respective distributions for working/business/study, service/shopping, leisure time, and other purposes.
Distributed Secondary Control with Consensus-Based Adaptive Droop and Voltage Observer for DC Microgrids Khusnul Hidayat; Arif Nur Afandi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 2, May 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i2.2631

Abstract

This paper proposes a fully distributed secondary control scheme for a low-voltage DC microgrid with ring topology. The main objectives are to restore the common bus voltage to its nominal reference and to achieve accurate proportional current sharing among distributed generator units in the presence of non-uniform line resistances and mixed load conditions. The proposed secondary layer integrates a consensus-based adaptive droop controller and a consensus-based voltage observer. The adaptive droop mechanism dynamically adjusts the virtual impedance of each converter using neighbor-to-neighbor current information to reduce current-sharing errors, while the voltage observer provides a distributed estimate of the average bus voltage to compensate for droop-induced voltage deviations. The effectiveness of the proposed method is validated through simulation on a ring-configured DC microgrid consisting of four converters and five buses. A comparative study demonstrates that conventional droop control improves current sharing but introduces significant steady-state voltage deviation. By contrast, the proposed integrated approach achieves nearly zero current-sharing error while maintaining the DC bus voltage close to its reference value. The dynamic performance is further evaluated under both resistive-load and constant-power-load variations. The results show that the controller ensures fast voltage restoration, accurate proportional current sharing, and stable operation without sustained oscillations, even under nonlinear constant-power-load conditions. These findings indicate that the proposed distributed secondary control strategy provides robust voltage regulation and precise current sharing for ring-type DC microgrids.
HSABC Algorithm for Economic Operation Emission Based AN Afandi; Farrel Candra Winata Afandi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i2.9

Abstract

The total cost of maintaining the energy infrastructure is one of the most important problems. Technically, this issue considers the fuels and emissions of generating units working within specific parameters in an Economic Operation Emission Based (EOEB). This study evaluates the performance of the Harvest Season Artificial Bee Colony (HSABC) Algorithm in search of the best EOEB solution. To compute the EOEB issue on the IEEE-62 bus system, simulation programming techniques are applied based on HSABC Algorithm. The simulation findings indicate that the investigated approaches have a range of characteristics, speed, starting, and statistical value values.
Optimization of DC Fast Charging in CHAdeMO Systems Using Thunderstorm Algorithm with Thermal and Health Constraints Samsurizal Samsurizal; Arif Nur Afandi; Mohamad Rodhi Faiz
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 1 (2026): February
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i1.14505

Abstract

The significant increase in the use of electric vehicles (EVs) demands the development of fast charging systems that are not only efficient but also maintain battery integrity. One of the primary challenges in direct current (DC) charging is balancing speed with minimizing degradation caused by thermal stress. This study proposes a charging optimization model based on the Thunderstorm Optimization Algorithm (TA) for CHAdeMO-based DC systems. A lithium-ion equivalent circuit battery model was used to simulate electrochemical and thermal dynamics. The model introduces an adaptive charging current profile designed with a dynamic boundary configuration, defined here as the iterative adjustment of current limits according to real-time thermal and health constraints. Compared to conventional constant current–constant voltage (CC–CV) methods, TA considers maximum temperature, State of Health (SoH), and target State of Charge (SoC) simultaneously. The simulation (180 minutes, passive cooling, Python-based) showed that TA reduced SoH degradation to 1.3% and battery life usage to 18.4%—the latter defined as cumulative stress energy normalized to initial capacity—compared to 2.9% and 22.5% for CC–CV. Additionally, TA achieved a higher average charging power (26.1 kW vs. 24.8 kW) without exceeding 50 °C. Although the algorithm requires more computational effort than CC–CV, its moderate complexity suggests feasibility for real-time integration in battery management systems. These findings highlight TA as a promising adaptive and sustainability-oriented charging strategy.
PANELIZED ELECTRICAL POWER OUTPUT MONITORING SYSTEM INTEGRATED SOLAR WEB SERVER Aripriharta Aripriharta; Annisa Firly Aprilia Putri; Arif Nur Afandi; Saodah Omar; Mohamad Rodhi Faiz
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 4 No. 11 (2024)
Publisher : Universitas Ngeri Malang

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

Abstract

In Indonesia, the duration of sunlight energy harvesting is around 7-8 hours perday. It is considered capable of generating electricity with photovoltaics (PV). Proper monitoring of solar panels can help identify and fix problems with solar panels. To overcome these problems, this research will develop a solar panel electrical power output monitoring system integrated with a Web Server using the Internet of Things that allows users to perform remote monitoring via smartphones and PCs. The method used in this research is the DevOps method. The results showed that the monitoring system of solar panel electrical power output integrated with Web Server runs well and can display data in real-time with a delay time of ± 0.50 ms. Furthermore, overall system testing was carried out from 08.00 to 16.00 with the maximum voltage and current generated of 5.13V and 0.176A. The efficiency value produced by the 10Wp solar panel is 94.16%.
Design and Perfomance Analysis of Solar Thermoelectric Generator (STEG) for Heat Utilizing under Varying Temperature Condition MUHAMMAD REFQI HIDAYATULLAH; ARIF NUR AFANDI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 4: Published November 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i4.447

Abstract

Utilizing solar heat from building rooftops is crucial for urban heat island mitigation and energy efficiency in tropical climates. This study designs a Solar Thermoelectric Generator (STEG) panel and analyzes its performance in converting zinc waste heat into electricity under varying temperature conditions. An integrated experimental and ANSYS simulation approach evaluated zinc's thermal conductivity and STEG panel performance. Actual temperature data from the zinc material were collected to identify optimal temperature gradients (ΔT). Results showed the zinc panel achieved a maximum ΔT of 5.82∘C. A series configuration yielded 0.0825 mW peak power, while parallel reached 0.0085 W. System efficiency was calculated at 0.0090%. Despite initial low efficiency, these findings validate STEG panel design and zinc material feasibility for solar heat recovery.
An Epistemological Analysis of Metaheuristic MPPT Performance for Photovoltaic Systems under Partial Shading Conditions Khusnul Hidayat; Arif Nur Afandi; Syaad Patmanthara
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK 2025: ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (Special Issue on Engineering Paradigm 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.si2025.258

Abstract

Metaheuristic-based maximum power point tracking algorithms are widely used in photovoltaic systems to address nonlinear and multi-peak characteristics under partial shading conditions. However, many reported performance claims rely mainly on numerical simulation and therefore require cautious interpretation. This study presents a simulation-based comparative and epistemological analysis of Particle Swarm Optimization and Differential Evolution for photovoltaic maximum power point tracking. Both algorithms are implemented in an identical buck converter-based photovoltaic framework to ensure fair comparison. Performance is evaluated under uniform irradiance and partial shading conditions using convergence time and tracked power as evaluation metrics. The results show that under uniform irradiance, both algorithms reliably converge to the maximum power point with similar steady-state accuracy, while Particle Swarm Optimization converges faster. Under partial shading conditions, Particle Swarm Optimization consistently tracks the global maximum power point, whereas Differential Evolution shows occasional convergence failure or suboptimal tracking. From an epistemological standpoint, these findings constitute coherent and pragmatically useful model-based knowledge, while remaining provisional due to the absence of experimental validation.
Tantangan Etika dalam Penelitian Kualitas Daya Listrik Berbasis Data Intensif: Suatu Tinjauan Literatur Ana Nuril Achadiyah; Arif Nur Afandi; Hakkun Elmunsyah; Siti Sendari
RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Vol. 9 No. 1 (2026): RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer)
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/resistor.9.1.15-24

Abstract

Digitalisasi sistem tenaga listrik dan integrasi metode berbasis kecerdasan buatan telah mendorong penelitian Kualitas Daya Listrik (Power Quality/PQ) bergeser dari sekadar pengukuran teknis menuju pemanfaatan data operasional beresolusi tinggi yang sarat implikasi etika. Artikel ini menyajikan tinjauan literatur terstruktur terhadap publikasi tahun 2025 yang memanfaatkan dataset terkait PQ, dengan fokus pada identifikasi bentuk data, konteks penerapan, serta risiko etis yang menyertainya. Sumber literatur diperoleh melalui penelusuran basis data ScienceDirect menggunakan kombinasi kata kunci yang mengaitkan “ethic”, “power quality”, dan “electrical research”, kemudian disaring berdasarkan kriteria inklusi yang menekankan kualitas jurnal, relevansi teknis, dan keterkaitan langsung dengan isu etika pengelolaan data.​ Hasil telaah menunjukkan bahwa tantangan etika dalam riset PQ terkonfigurasi dalam tiga klaster utama, yaitu privasi dan anonimitas data konsumsi serta mobilitas energi, keamanan dan kerahasiaan data teknis yang merepresentasikan kondisi infrastruktur kritis, serta bias metodologis dan representasi ketika data memuat dimensi sosial, geografis, dan ekonomi. Berbagai dataset resolusi tinggi mulai dari deret waktu beban jaringan tegangan rendah, sinyal kondisi mesin listrik dan generator, hingga data lintasan kendaraan berpotensi membuka peluang re-identification, pemetaan kerentanan sistem, maupun generalisasi yang tidak adil terhadap kelompok atau wilayah tertentu. Artikel ini menekankan urgensi pengembangan kerangka etika khusus untuk penelitian PQ, yang mengintegrasikan prinsip privacy by design, keamanan siber, dan keadilan data dengan teknik teknis seperti differential privacy, federated learning, serta protokol klasifikasi sensitivitas dan pembatasan tujuan penggunaan data. Temuan ini diharapkan dapat menjadi pijakan bagi perumusan pedoman etika yang lebih operasional bagi komunitas riset PQ di era sistem tenaga cerdas berbasis data intensif.
Studi Prediksi Usia Operasional Transformator Berdasarkan Diagnostik DGA pada Gas Residu dalam Minyak Isolasi Berbasis Prinsip Etika Terhadap Pengumpulan Data Rudi Irmawanto; Arif Nur Afandi; Hakkun Elmunsyah; Siti Sendari
RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Vol. 9 No. 1 (2026): RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer)
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/resistor.9.1.25-38

Abstract

Penelitian ini merupakan studi kuantitatif dengan pendekatan studi kasus yang memanfaatkan data hasil uji Dissolved Gas Analysis (DGA) pada minyak isolasi transformator selama periode 2017 hingga 2025. Proses pengumpulan dan penggunaan data dilakukan dengan menerapkan prinsip etika penelitian, termasuk memperoleh izin resmi dari pemilik aset, memastikan kerahasiaan data operasional, menjaga anonimitas identitas transformator, serta memastikan bahwa data tidak dimanipulasi, tidak direkayasa, dan digunakan hanya untuk tujuan ilmiah. Peneliti juga memastikan bahwa prosedur pengambilan sampel minyak tidak mengganggu operasi sistem tenaga dan dilakukan sesuai standar keselamatan kerja. Analisis DGA dilakukan berdasarkan standar IEEE C57.104-2019 dan IEC 60599 menggunakan metode Total Dissolved Combustible Gas (TDCG), Key Gas Method, Roger’s Ratio, dan Segitiga Duval. Setiap metode digunakan untuk mengidentifikasi potensi gangguan internal, tingkat keparahan, dan pola perkembangan gas terlarut. Prediksi umur transformator dilakukan menggunakan regresi linier dengan variabel bebas berupa konsentrasi gas yang meningkat signifikan. Hasil menunjukkan kenaikan CO dan C₂H₆ sebagai indikator thermal aging dan degradasi selulosa, sementara hasil TDCG menempatkan kondisi transformator masih dalam batas operasional. Model regresi memperkirakan sisa umur pakai 27,1–27,4 tahun. Temuan ini menekankan pentingnya analisis teknis yang akurat serta pengelolaan data berbasis etika untuk mendukung strategi pemeliharaan prediktif jangka panjang.
Tinjauan Epistemologis dan Aksiologis Metode DGA dalam Memprediksi Usia Pakai Transformator Rudi Irmawanto; Syaad Patmanthara; Arif Nur Afandi
Jurnal JE-UNISLA : Electronic Control, Telecomunication, Computer Information and Power System Vol 11 No 1 (2026): MARET
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/je-unisla.v11i1.1635

Abstract

Penelitian ini mengevaluasi penerapan metode Dissolved Gas Analysis (DGA) sebagai instrumen ilmiah dalam mendiagnosa usia transformator, ditinjau dari perspektif epistemologis, studi ini menelaah bagaimana data empiris berupa konsentrasi gas terlarut (H₂, CH₄, C₂H₆, C₂H₄, C₂H₂, CO, dan CO₂) dikonversi menjadi pengetahuan prediktif yang valid. Melalui pendekatan studi kasus kuantitatif pada periode 2017–2025, proses pemerolehan pengetahuan dilakukan melalui triangulasi metode interpretasi standar IEEE C57.104-2019 dan IEC 60599, meliputi Total Dissolved Combustible Gas (TDCG), Key Gas, Roger’s Ratio, dan Segitiga Duval. Validitas inferensi diperkuat dengan penerapan logika matematika melalui regresi linier untuk memproyeksikan sisa usia pakai (lifespan) berdasarkan tren degradasi variabel gas C₂H₆ dan CO studi kuantitatif dengan pendekatan studi kasus yang memanfaatkan data hasil uji Dissolved Gas Analysis (DGA) pada minyak isolasi transformator selama periode 2017 hingga 2025. Pengolahan data dilakukan dengan menggunakan beberapa metode interpretasi berdasarkan standar IEEE C57.104-2019 dan IEC 60599. Metode-metode tersebut antara lain Total Dissolved Combustible Gas (TDCG), Key Gas Method, Roger’s Ratio, serta Segitiga Duval. Setiap metode digunakan untuk mengidentifikasi potensi jenis gangguan internal, tingkat keparahan, serta kecenderungan perubahan karakteristik gas terlarut dalam minyak isolasi. Selain analisis kondisi, penelitian ini juga melakukan prediksi usia pakai transformator dengan menerapkan regresi linier. Dalam model penelitia ini, variabel bebas berupa konsentrasi gas terlarut yang mengalami peningkatan signifikan, sementara variabel terikat adalah estimasi usia transformator berdasarkan tren degradasi. Hasil analisis menunjukkan adanya peningkatan konsentrasi gas CO dan C₂H₆ yang menjadi indikator utama terjadinya thermal aging serta proses degradasi selulosa pada bagian isolasi padat. Berdasarkan interpretasi dengan metode TDCG, kondisi transformator masih berada dalam kategori operasional yang dapat diterima, meskipun menunjukkan gejala awal yang memerlukan pemantauan lebih intensif untuk mencegah proses kerusakan yang lebih cepat. Sementara itu, melalui pemodelan regresi linier, diperoleh estimasi sisa usia pakai transformator dengan menggunakan variabel C₂H₆ dan CO, yaitu berkisar antara 27,1 hingga 27,4 tahun. Hasil temuan ini menunjukkan bahwa meskipun transformator masih dapat beroperasi sesuai dengan standar operasional, tren peningkatan gas terlarut perlu dijadikan dasar kajian untuk penyusunan strategi pemeliharaan prediktif yang lebih optimal untuk menjaga keandalan peralatan dijadikan dasar kajian dalam jangka panjang.  
Co-Authors Abdillah, Hartawan Abdullah Iskandar Syah Achmad Fakhri Achmad Syahrudin Fakhri Ade Siyanti Nurul Hidayah Adiguna, Satria Afandi, Farrel Candra Winata Afina, Nimas Aji Prasetya Wibawa Al Rasyid, Mochammad Syarifudin Aldilla Qurrata Ayun Aldilla Qurrata A’yun Ana Nuril Achadiyah Andoko Andoko, Andoko Andriansyah, Muhammad Rizal Andrik Kurniawan Anik Nur Handayani Anisah, Masayu Anjar Nur Ramadhani Annisa Firly Aprilia Putri 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 W.A. Farrel Candra Winata Afandi Fatchurrochman Fatchurrochman Felix Andika Dwiyanto Fujita, Goro Fujita, Goro Goro Fujita Gunawan, M. Ricko Hafizh Prihtiadi Hakkun Elmunsyah Hari Putranto Hartawan Abdillah Herlin Pujiarti Heru Wahyu Herwanto Hsien-I Lin I Made Wirawan Imam Saputra Irham Fadlika Irmawanto, Rudi Jatmiko, Anang Joko Utomo Joumil Aidil Saifuddin Junoh, Ahmad Kadri Kaki, Gregorius Paulus Mario Laka Kamil Faqih Khusnul Hidayat 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 REFQI HIDAYATULLAH Muhammad Rizal Andriansyah 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 Quota Sias Qurrata Ayun, Aldilla Rahmadhani, Nur Aini Syafrina Rahmatullah Aji Prabowo Rasyad, Sabilal Rizal Kholif Nurrohman Roseno, Taufik Rosmin, Norzanah Rudi Irmawanto Ruslan Hidayat Samat, Ahmad Asri Abd Samsurizal Samsurizal Saodah Omar 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 Syaad Patmanthara 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