Article Per Year (5 Year)
p-Index From 2021 - 2026
8.365
P-Index
This Author published in this journals
All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika E-Dimas: Jurnal Pengabdian kepada Masyarakat JOIV : International Journal on Informatics Visualization Jurnal Inovasi Bisnis (Inovbiz) JMM (Jurnal Masyarakat Mandiri) Martabe : Jurnal Pengabdian Kepada Masyarakat TESLA: Jurnal Teknik Elektro Jurnal Abdimasa Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Telecommunication, Electronics and Control Engineering (JTECE) Jurnal Nasional Teknik Elektro dan Teknologi Informasi eProceedings of Engineering Ranah Research : Journal of Multidisciplinary Research and Development Jurnal Rekayasa elektrika Jurnal INFOTEL Telkatika: Jurnal Telekomunikasi Elektro Komputasi & Informatika al Kimiya : Jurnal Ilmu Kimia dan Terapan Emitor: Jurnal Teknik Elektro Jurnal Pengabdian Digital dan Rekayasa Informatika (JARDIRA) Proceeding of Community Service and Engagement Biodiversitas Journal of Biological Diversity
Jangkung Raharjo
Telkom University
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Transportation Other

Published : 90 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 90 Documents
Search

 5   6   7   8   9 
Implementasi Internet Of Things (Iot) Untuk Pemantauan Debit Air, Tekanan Air, Dan Output Generator Pada Simulator Pembangkit Listrik Tenaga Pikohidro Di Telkom University Rahman, Daffa Sahrul; Rahmat, Basuki; Raharjo, Jangkung
eProceedings of Engineering Vol. 12 No. 5 (2025): Oktober 2025
Publisher : eProceedings of Engineering

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

Abstract

Pembangkit Listrik Tenaga Pikohidro (PLTPH) merupakan solusi energi terbarukan yang memanfaatkan aliran air, namun pemantauan performanya seringkali masih dilakukan secara manual sehingga kurang efisien. Penelitian ini bertujuan merancang dan mengimplementasikan sistem pemantauan berbasis Internet of Things (IoT) untuk meningkatkan efektivitas operasional pada simulator PLTPH di Telkom University. Metode yang digunakan adalah perancangan sistem terintegrasi yang terdiri dari sensor PZEM-004T untuk mengukur keluaran generator, mikrokontroler ESP32 sebagai unit pemrosesan, serta platform Blynk dan Google Sheets sebagai antarmuka pengguna dan database. Hasil penelitian menunjukkan sistem berhasil mengotomatisasi akuisisi data tegangan, arus, dan daya secara real-time. Pengujian kalibrasi menunjukkan akurasi pengukuran tegangan sangat tinggi dengan galat hanya 0,92% , memenuhi target akurasi 95%. Analisis data dari 10 skenario percobaan menyimpulkan bahwa jumlah beban merupakan faktor yang lebih dominan dalam mempengaruhi daya keluaran generator dibandingkan debit air. Kesimpulannya, sistem IoT yang dikembangkan berhasil mempermudah analisis data secara efisien dan akurat. Kata kunci— ESP32, Internet of Things (IoT), output generator, pemantauan, PLTPH, PZEM-004T
Implementasi Pemantauan Rpm Turbin Dan Generator Serta Frekuensi Output Generator Pada Simulator Pembangkit Listrik Tenaga Pikohidro Berbasis Internet Of Things (Iot) di Telkom University Kumara, Ghanendra Amru; Rahmat, Basuki; Raharjo, Jangkung
eProceedings of Engineering Vol. 12 No. 5 (2025): Oktober 2025
Publisher : eProceedings of Engineering

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

Abstract

Penelitian ini mengkaji efisiensi pemantauan performa simulator pembangkit listrik tenaga pikohidro (PLTPH) yang berlokasi di Telkom University, khususnya terkait pengambilan data revolutions per minute (RPM) dan frekuensi output. Permasalahan utama yang melatarbelakangi studi ini adalah kurangnya efisiensi dalam proses pemantauan tersebut. Untuk mengatasi hal ini, penelitian ini mengimplementasikan sistem Internet of Things (IoT) pada simulator PLTPH. Pendekatan yang digunakan mencakup pemasangan sensor RPM pada turbin dan generator untuk mengukur data RPM secara otomatis. Hasil pengukuran sensor kemudian dibandingkan dengan data yang diperoleh secara manual untuk mengevaluasi tingkat akurasinya. Selain itu, sensor frekuensi dipasang pada generator untuk mengukur frekuensi keluaran dan menganalisis korelasinya dengan data RPM yang telah dikumpulkan. Hasil penelitian menunjukkan tingkat akurasi pengambilan data RPM turbin yaitu 98,33% dan RPM generator sebesar 99,67% sehingga rata-rata akurasi mencapai lebih dari 98%, mengindikasikan bahwa data yang dihasilkan oleh sistem IoT sangat konsisten dengan data manual. Konektivitas pada antarmuka sendiri memiliki kecepatan koneksi yang bagus yaitu 942,5 ms. Pengujian pada korelasi beban dengan frekuensi menunjukan ketika ada kenaikan beban, maka frekuensi keluaran juga meningkat setidaknya 0,3%. Analisis pada korelasi hubungan antara nilai RPM dan frekuensi keluaran generator bersifat linear. Peningkatan RPM secara langsung berkorelasi dengan peningkatan frekuensi keluaran. Kata kunci— Pembangkit Listrik Tenaga Pikohidro, Internet of Things, Revolutions per Minute, Frekuensi Output, Generator Listrik, Responsivitas sistem.
Training for Assembly of Appropriate Technology-Based Battery Packs to Improve Vocational School Students' Competence in Supporting Green Energy Programs Fachry Fathan Irsyad; I Gede Putu Oka Indra Wijaya; Ahmad Fahmi Aldarwis; Aminah Indahsari Marsuki; Jangkung Raharjo
JARDIRA – Jurnal Pengabdian Digital dan Rekayasa Informatika Vol. 2, No. 1, January 2026
Publisher : CogniSpectra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65917/jardira.v2i1.52

Abstract

Background: Human resources skilled in energy storage technology, particularly lithium-ion batteries, are needed to support the increased use of electric vehicles in Indonesia. However, the material at the vocational school level is still far from green industry standards. The objective of this community service program is to improve the practical skills of students at SMKN 4 Bandung by providing training on battery manufacturing based on Appropriate Technology (TTG). Contribution: This activity truly benefits the school community by providing infrastructure that supports practice and improves project-based curricula. In addition, the program helps students independently produce core components for electric vehicles, supporting national energy independence. Method: The program implementation method consists of four main stages. First, conducting literature research and surveys on the necessary information; providing theory on battery management systems, also known as BMS; hands-on practice building a 36V 6Ah battery using a spot welder; and finally, conducting a comprehensive evaluation. Results: The results of the activity showed a significant increase in participants' knowledge; the average competency score increased from 59% in the pre-test to 85% in the post-test, and the satisfaction survey showed that the level of participants' appreciation of the relevance of the training reached 85.32%. Conclusion: The program successfully achieved its goal of reducing skill disparities among students. The results produced a prototype battery that can be installed on electric bicycles, proving that action-based learning is an effective method for incorporating renewable energy technology into vocational education environments.
Equal Incremental Cost Method dengan Adjustable Gamma Control untuk Menyelesaikan Penjadwalan Pembangkit Basuki Rahmat; I Gede Putu Oka Indra Wijaya; Rifki Rahman Nur Ikhsan; Lindiasari Martha Yustika; Jangkung Raharjo
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.
Perbandingan Algoritma Sine Cosine dan Kelelawar untuk Penempatan Pembangkit Listrik Terdistribusi Lindiasari Martha Yustika; Jangkung Raharjo; Rifki Rahman Nur Ikhsan; I Gede Putu Oka Indra Wijaya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 3: Agustus 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i3.19191

Abstract

The enhancement of electricity distribution is a crucial factor in supporting sustainable development and reducing energy access inequality. To ensure the reliability and stability of energy systems, the integration of distributed generation (DG) has a significant role. Numerous studies have explored optimal DG placement using metaheuristic methods. The study evaluated the performance of both algorithms based on key indicators, including voltage profile improvement and power loss reduction, under normal load conditions and under a 10% load increase to simulate future demand growth. The methods employed were the sine-cosine algorithm (SCA) and the bat algorithm (BA). By comparing these two methods, this study aims to optimize the placement and sizing of DG units, with a case study based on the IEEE 9 bus system configuration. Load flow analysis was performed using Electric Transient Analysis Program (ETAP) software to validate the effectiveness of optimized DG placement under various scenarios. Key performance indicators, namely losses reduction and improvement of voltage profile, were evaluated to determine the relative strengths of each algorithm. The results show that both SCA and BA are effective in optimizing DG implementation. Specifically, SCA achieved reductions in active power losses by up to 85% and reactive power losses by 93%, outperforming BA in certain scenarios. Both algorithms enhance system reliability and stability. These findings highlight the potential of metaheuristic algorithms to address the challenges of modern energy systems and contribute to the broader goal of developing sustainable power systems.
Sosialisasi Alat Ukur Berat Badan dan Tinggi Badan Digital Berbasis Internet of Things (IoT) Untuk Mendukung Program Pencegahan Stunting di Desa Sayati Desri Kristina Silalahi; Nadya Ainun Avrilya; Hana Inda Nafisah; Jangkung Raharjo; Jaspar Hasudungan
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 4 No. 2 (2024): The Proceeding of Community Service and Engagement (COSECANT) Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v4i2.8535

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk merancang dan mengembangkan alat ukur berat badan dan tinggi badan digital berbasis Internet of Things (IoT) sebagai solusi dalam memantau pertumbuhan balita. Alat ini menggunakan dua sensor utama, yaitu load cell untuk mengukur berat badan dan sensor ultrasonik HC-SR04 untuk mengukur tinggi badan. Struktur alat dibuat dengan material aluminium dan v-slot sebagai penyangga, serta dilengkapi komponen elektronik seperti ESP32, Arduino Uno, baterai, dan LCD OLED sebagai tampilan hasil pengukuran. Data yang diperoleh dari alat ini dikirimkan secara real-time ke sebuah website yang dirancang khusus untuk menampilkan dan menyimpan hasil pengukuran. Hasil pengujian menunjukkan bahwa alat dapat bekerja dengan baik dan akurat, serta mempermudah pemantauan data pertumbuhan balita. Dengan memanfaatkan teknologi IoT, alat ini diharapkan dapat menjadi solusi efektif dalam mendeteksi dini masalah stunting dan memfasilitasi intervensi cepat. Kegiatan sosialisasi juga dilakukan kepada petugas posyandu agar dapat menggunakan alat ukut timbangan dan berat badan. Kemudian sosialisai kepada orangtua dari anak-anak terkait permasalahan stunting.
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.
PARTIAL DISCHARGE ANALYSIS ON PRINTED CIRCUIT BOARDS USING CURRENT TRANSFORMER SENSOR FOR INSULATION PERFORMANCE EVALUATION Muhammad Kodrat; Imam Syafi’e; Ekki Kurniawan; Jangkung Raharjo
TESLA: Jurnal Teknik Elektro Vol 28 No 1 (2026): TESLA: Jurnal Teknik Elektro
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/tesla.v28i1.37737

Abstract

The rapid development of modern power electronics systems at the 20 kV medium-voltage level demands high reliability of printed circuit board (PCB) insulation. Under medium-voltage conditions, PCB insulation materials are susceptible to partial discharge (PD) activity, particularly in areas with non-uniform electric field distribution, which can accelerate insulation failure and reduce system reliability. This study examines the insulation performance of medium-voltage PCBs through PD measurements using non-invasive current transformer (CT) sensors that do not damage the equipment. The proposed approach utilizes time-domain PD analysis to detect impulse current signals generated by PD activity without modifying the PCB insulation structure. Key parameters such as pulse magnitude, rise time, pulse width duration, and PD fall time are analyzed to characterize PD activity. Additionally, PD waveform analysis is performed to evaluate discharge characteristics and their correlation with PCB insulation conditions. The novelty of this research lies in the application of CT sensors as a method for evaluating PCB insulation in medium-voltage power electronics applications. The research results show that the proposed method is capable of detecting low-level PD activity and provides relevant diagnostic information for PCB design development and insulation condition monitoring strategies in medium-voltage power electronics systems Abstrak Perkembangan pesat sistem power electronics modern pada skala tegangan menengah 20 kV menuntut keandalan isolasi printed circuit board (PCB) yang tinggi. Pada kondisi tegangan menengah, material isolasi PCB rentan terhadap aktivitas partial discharge (PD), khususnya pada daerah dengan distribusi medan listrik yang tidak seragam, yang dapat mempercepat terjadinya kerusakan insulasi dan menurunkan keandalan sistem. Penelitian ini mengkaji performa isolasi PCB tegangan menengah melalui pengukuran PD menggunakan sensor current transformer (CT) yang bersifat non-invasif/tanpa merusak peralatan. Pendekatan yang diusulkan memanfaatkan analisis PD pada domain waktu untuk mendeteksi sinyal arus impuls yang dihasilkan oleh aktivitas PD tanpa memodifikasi struktur isolasi PCB. Parameter utama seperti magnitudo pulsa, waktu naik, durasi lebar pulsa, dan waktu turun PD dianalisis untuk mengkarakterisasi aktivitas PD. Selain itu, analisis bentuk gelombang PD dilakukan untuk mengevaluasi karakteristik pelepasan dan keterkaitannya dengan kondisi isolasi PCB. Kebaruan penelitian ini terletak pada penerapan sensor CT sebagai metode evaluasi isolasi PCB pada aplikasi power electronics tegangan menengah. Hasil penelitian menunjukkan bahwa metode yang diusulkan mampu mendeteksi aktivitas PD level rendah dan memberikan informasi diagnostik yang relevan untuk pengembangan desain PCB dan strategi pemantauan kondisi isolasi pada sistem power electronics tegangan menengah.
Short Communication: Plant diversity utilization and land cover composition in the Subak Jatiluwih, Bali, Indonesia Sutomo Sutomo; Rajif Iryadi; I Dewa Putu Darma; I Putu Agus Hendra Wibawa; Ayyu Rahayu; Siti Fatimah Hanum; Syamsul Rizal; Ledya Novamizanti; Jangkung Raharjo
Biodiversitas Journal of Biological Diversity Vol. 22 No. 3 (2021)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d220345

Abstract

Abstract. Sutomo, Iryadi R, Darma ID, Wibawa IPAH, Rahayu A, Hanum SF, Rizal S, Novamizanti L, Raharjo J. 2021. Short Communication: Plant diversity utilization, and land cover composition in the Subak Jatiluwih, Bali, Indonesia. Biodiversitas 22: 1424-1432. Subak is water management or irrigation system for paddy fields in Bali Island and it has been assigned as a UNESCO’s World Heritage Site. At a landscape level, it comprises several components which are forests, terraced paddy landscape, rice fields, villages and temples. Subak in Jatiluwih Village, Tabanan Regency depicts an area characterized by its natural appearance in the form of a vast rice valley with a dike in stratum following its natural contours (frequent terraces). This paper aimed to explore plant diversity in various vegetations around Subak Jatiluwih as well as their usage in the daily living of the local community. We also explore the potential application of drone for classifying the landscape patterns of the Subak.Vegetation sampling to record plant diversity was done using purposive sampling, and drone or Unmanned Aerial Vehicle (UAV) was used to map the Subak Jatiluwih landscape. The potential usage of each species was obtained through interview with key respondents, and the level of usage of each species was analyzed using the BIV (Benefit Index Value). Tegalan area shows the highest number plant diversity in Subak Jatiluwih area. Furthermore, there are four species of plants that have the highest BIV namely: Cocos nucifera L., Psidium guajava L., Areca catechu L. and Musa × paradisiaca L.. Various plant uses by the locals include for animal feed, building, ceremony, craft, and food and medicinal purposes. The landscape in Subak Jatiluwih is dominated the vast valley of rice fields that has strata following its natural contours. These conditions provide opportunities to applied the conservation strategy based on cultural and custom values.
Hybrid Bayesian Optimization and Deep Reinforcement Learning for Enhanced MPPT in PV Systems Under Dynamic Conditions Firas Maulana Lasidi; Jangkung Raharjo; Basuki Rahmat; Andriani Andriani
Emitor: Jurnal Teknik Elektro Vol 26, No 2: July 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v26i2.18469

Abstract

Abstract − Conventional Maximum Power Point Tracking (MPPT) methods in photovoltaic (PV) systems frequently suffer from significant efficiency degradation when subjected to dynamic weather and Partial Shading Conditions (PSC). To address this issue, this study proposes a novel hybrid control algorithm integrating Bayesian Optimization (BO) and Deep Reinforcement Learning (DRL). The primary contribution of this research is the development of an adaptive MPPT system architecture that leverages the global exploration capabilities of BO alongside the high-precision local tuning of DRL to maximize solar energy extraction. The methodology evaluates the proposed BO-DRL agent through an ablation study within a Python simulation environment across four distinctive environmental profiles: uniform irradiance, light partial shading, heavy partial shading, and extreme dynamic conditions. In this framework, the BO component executes a probabilistic global search via Gaussian Processes to prevent the system from getting trapped in local maxima, while the DRL agent performs continuous duty cycle adjustments to minimize steady-state oscillations. Simulation results demonstrate that the hybrid approach significantly outperforms the conventional Perturb and Observe (P&O) method. Under heavy partial shading, the hybrid algorithm achieves a tracking efficiency of 96.08%, whereas the P&O method drops to 62.24% due to local peak entrapment. Under extreme dynamic scenarios, the hybrid efficiency remains robust at 93.22%, while the P&O performance drastically degrades to 39.07%. Furthermore, the ablation validation proves that standalone DRL agents fail to initialize optimally without the global search assistance from the BO unit. In conclusion, the synergistic integration of BO-DRL yields a highly robust, efficient, and adaptive MPPT control solution capable of optimizing PV energy harvesting in highly volatile environments.
Co-Authors Adi Soeprijanto Aditya Pratama Ahmad Fahmi Aldarwis Ahmad Zaky Rafif Muthafa Aisy, Naura Safina Rahadatul AMINAH INDAHSARI MARSUKI Andhika Yoga Andi Zahra Bunga Zana Andre Danika Andriani Andriani 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 Ayyu Rahayu Bambang Hidayat Bambang Hidayat Bambang Setia Nugroho Bandiyah Sri Aprilia Bandiyah Sri Aprillia Basuki Rahmat 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 Fachry Fathan Irsyad Fadlil Azimi Syafli Fajar Dwi Septria Fajar Kurniawan Alhamal Farhan, Mhd Althalif Firas Maulana Lasidi Firman Ag. Roni Fitria, Ismaulida Nur Fityanul Aditya Frisnanda Aditya Gelar Budiman Gusmanda, Ilham Haidy Anazmar Hana Inda Nafisah Hanifah, Dyatisa Hasbiya Ghifari Alfarizi Hermagasantos Zein Hernawan Kurniansyah Hilman Fauzi, Hilman I Dewa Putu Darma I Gede Putu Oka Indra Wijaya I Nyoman Apraz R I Nyoman Apraz Ramatyana I Putu Agus Hendra Wibawa Ilma Mufidah Imam Syafi’e 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 Kodrat Muhammad Samsul Muarif Muhammad Zakiyullah Romdlony Nachwan Mufti Adriansyah Nadya Ainun Avrilya Nizhar Arya Hamitha Nor Kumalasari Caecar Pratiwi Novi Prihatiningrum Nugroho, Fahriza Amartya Nur Andini Nur Ibrahim 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 Rajif Iryadi 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 Siti Fatimah Hanum SOFIA SAIDAH Sudiana Sudiana, Sudiana Suryo Adhi Wibowo Sutomo Sutomo Sutomo Sutomo Suyatno Budiharjo Syamsul Rizal Thoriq Bayu Aji Tita Haryanti Tri Siswanto Yogi Ghifari Sidik Yulinda yulinda Yunita, Putri Marhamah Yustika, Lindiasari Martha Yusuf Nur Wijayanto