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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Tekno : Jurnal Teknologi Elektro dan Kejuruan Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Transmisi: Jurnal Ilmiah Teknik Elektro ELKHA : Jurnal Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Informatika dan Teknik Elektro Terapan The Asian Journal of Technology Management (AJTM) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal Taman Vokasi INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Knowledge Engineering and Data Science CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control INOVTEK POLBENG RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro JURNAL KAJIAN TEKNIK ELEKTRO Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System at-tamkin: Jurnal Pengabdian kepada Masyarakat CYCLOTRON MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Journal of Education Technology PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat (Mediteg) Jurnal Karinov Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Journal of Robotics and Control (JRC) Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Teknik Elektro Uniba (JTE Uniba) Jurnal E-Komtek Indonesian Journal of Electrical Engineering and Computer Science Frontier Energy System and Power Engineering Community Development Journal: Jurnal Pengabdian Masyarakat Abdi Kami : Jurnal Pengabdian Kepada Masyarakat Jurnal Graha Pengabdian Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat ABDIMASY: Jurnal Pengabdian dan Pemberdayaan Masyarakat JTEIN: Jurnal Teknik Elektro Indonesia Charity : Jurnal Pengabdian Masyarakat LOSARI: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Abditeknika - Jurnal Pengabdian Kepada Masyarakat Jurnal Energi Baru dan Terbarukan AbdiTechno (Jurnal Pengabdian Masyarakat) International Journal of Research in Vocational Studies (IJRVOCAS) Fidelity : Jurnal Teknik Elektro SinarFe7 Abdimas Prosiding Seminar Nasional Pengabdian Kepada Masyarakat IJCOSIN : Indonesian Journal of Community Service and Innovation JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Jurnal Riset Rumpun Agama dan Filsafat Jurnal MIPA dan Pembelajarannya Khidmatuna: Journal of Research and Community Service Jurnal Inovasi Teknologi dan Edukasi Teknik Bulletin of Social Informatics Theory and Application Power Elektronik : Jurnal Orang Elektro Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Prosiding Seminar Nasional Pengabdian kepada Masyarakat (SINAPMAS) International Journal of Mechanical, Electrical and Civil Engineering Journal of Engineering and Technological Sciences Jurnal Teknik Elektro ABDI KAMI: Jurnal Pengabdian Kepada Masyarakat TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Aripriharta -
Universitas Negeri Malang
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Forecasting University Admissions through Student Achievement using Arima Method Maslamah, Siti; Aripriharta; Handayani , Anik Nur; Horng, Gwo-Jiun
Journal of Education Technology Vol. 9 No. 1 (2025): February
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i1.86015

Abstract

Education is a means that allows individuals to develop their potential through the learning process. Vocational High School (SMK) is a formal education that prepares students to become middle-level workers, enterpreneurs, or continue to college. The admission system for State Universities (PTN) is divided into three pathways: SNBP, SNBT, and Independent Selection. This study aims to forecast new student admissions through the achievement pathway, specifically based on report card grades, with a case study at vocational school. The forecasting method used is the Autoregressive Integrated Moving Average (ARIMA), by analyzing the trend of student grades data admitted to state universities in 2020-2023, which includes report card grades from semesters 1 to 5. From the ARIMA analysis that was carried out for student admissions at state universities, the best ARIMA model was obtained (1,1,2) with an average MAPE error value of 2.12%. This indicates that the ARIMA model has good performance and can be used to forecast new student admissions to state universities. This research is expected to provide recommendations to educational institutions for better planning in student assessments, thereby increasing the probability of students being admitted to state universities.
MPPT Performance Analysis for PV Energy Harvesting Using Grey Wolf Optimization (GWO) Algorithm Aripriharta, Aripriharta; Syabani, Muhiban; Sendari, Siti; Wibawa, Aji Prasetya; Susilo, Suhiro Wongso; Bagaskoro, Muhammad Cahyo; Rosmin, Norzanah
ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

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

Abstract

Renewable energy is a key solution to meeting the growing demand for electricity while reducing reliance on non-renewable sources. Among various renewable technologies, photovoltaic (PV) systems are widely used in solar power plants (PLTS) to harness solar energy. However, PV efficiency is affected by environmental factors such as fluctuating solar irradiance and temperature, which cause instability in output voltage and power. To address these issues, Maximum Power Point Tracking (MPPT) techniques are applied to optimize power extraction. This study proposes the Grey Wolf Optimization (GWO) algorithm for MPPT and evaluates its performance through MATLAB/SIMULINK simulations under varying irradiance and temperature conditions. Inspired by the hunting behavior and social hierarchy of grey wolves, GWO dynamically adjusts the converter's duty cycle based on real-time voltage and current measurements to maximize output power. The study focuses on PV systems in Malang, Indonesia, and compares GWO with the Particle Swarm Optimization (PSO) method in terms of accuracy and stability. The results indicate that increased solar irradiance substantially enhances PV power output, while rising temperatures tend to reduce efficiency. The GWO algorithm achieves an average tracking accuracy of 94.5632%, slightly lower than the 96.9851% achieved by PSO. However, GWO demonstrates superior performance in terms of stability, with faster convergence and reduced oscillations during the tracking process. A comparison of system performance before and after applying the GWO method shows notable improvements in tracking consistency and power extraction efficiency, especially under dynamic environmental changes. The novelty of this study lies in its use of real-world environmental data collected over a 30-day period in a tropical setting, which is rarely addressed in previous GWO-based MPPT research. These findings highlight the potential of the GWO-based MPPT strategy to enhance PV system reliability and efficiency in real-time renewable energy applications.
Test Hybrid PV System Performance Against Load Variations Aripriharta, Aripriharta; Amin, Muhammad Adib; Sujito, Sujito; Faiz, Mohamad Rodhi; Bagaskoro, Muhammad Cahyo; Susilo, Suhiro Wongso; Omar, Saodah
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 1 (2025)
Publisher : PTE FTK UIN Ar-Raniry

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

Abstract

The depletion of fossil fuels has driven significant changes in the global electricity system. Solar Power Plants (PLTS) as a renewable energy source have shown the potential to contribute up to 25% of global electricity generation by 2050. The electricity system often experiences disturbances that can affect its performance and reliability. This study examines the performance of a 1.2 kW hybrid PV system under various load conditions. The system was tested with load variations of 2%, 7%, 22%, and 26% to assess its efficiency and performance. Despite a slight voltage drop of 4V Vac (-1.82%) at higher loads, the hybrid PV system consistently maintained a voltage range of 216-220V Vac, which meets the standard requirements. The system demonstrated high efficiency, averaging over 95%, with a peak efficiency reaching 98.5% at 2% load. These results confirm the effectiveness, safety, and reliability of the system under various load conditions. The findings are based on direct testing and measurements of a 1.2 kW hybrid PV system to evaluate the impact of load variations on its performance. The 1.2 kW hybrid PV system has been proven to be effective, safe and reliable in the face of load variations. These findings support the potential implementation of hybrid PV systems as a future renewable energy solution in the electricity sector
Design and Performance Evaluation of A Portable Low-Head Pico-Hydro System using A Rewound Axial Generator for Rural Energy Aripriharta, Aripriharta; Nibrosoma, Ahmad Dhaffa; Afandi, Arif Nur; Faiz, Mohamad Rodhi; Rahmadhani, Nur Aini Syafrina; Bagaskoro, Muhammad Cahyo; Rosmin, Norzanah
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 9 No. 1 (2025)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v9i1.1489

Abstract

This study evaluates the performance of a pico-hydro system installed on a river with low head and discharge. The system was assessed under no-load and varying load conditions (25–100%). The results indicate that the generator performs according to the initial design, despite some fluctuations in output parameters. Under no-load conditions, the generator maintains a stable output voltage between 12–14 VAC, with a rotational speed of 590–600 RPM, a system frequency of 59–60 Hz, and zero current. The step-up transformer successfully raises the voltage to 220–222 V with high stability, although minor ripple is observed in the output signal. Under load, the generator voltage slightly decreases to 12–14 V as the load increases. The rotational speed also declines (560–590 RPM), affecting frequency stability, which drops from 59 Hz at 25% load to 56 Hz at full load. The current rises proportionally with the load, from 0.10 A at 25% to 0.45 A at 100%. The observed performance drop under load highlights the effect of load on generator speed and overall system output. The primary impacts of the 25–100% load range are evident in generator speed, frequency stability, and waveform quality. Overall, the system performs satisfactorily for low-head pico-hydro applications with a power capacity of up to 100 Watts, suitable for rural street lighting.
PENGEMBANGAN SISTEM PEMBERSIH OTOMATIS DENGAN PENJADWALAN TERPROGRAM DALAM MENGOPTIMALKAN PENYERAPAN SINAR MATAHARI PADA PANEL SURYA Ihsan, Rifqi Al; -, Aripriharta; Gumilar, Langlang; -, Sujito; Nugraha, Agil Zaidan; Nikmah, Revalina Nazilatun
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6542

Abstract

Pembangkit Listrik Tenaga Surya (PLTS) adalah teknologi yang mengubah energi matahari menjadi listrik, namun sering mengalami penurunan efisiensi akibat penumpukan kotoran seperti debu pada permukaan panel. Pembersihan manual yang umum dilakukan berisiko tinggi terhadap keselamatan kerja, sehingga diperlukan solusi otomatis untuk meminimalkan risiko tersebut. Penelitian ini menganalisis pengaruh alat pembersih otomatis terhadap kinerja panel surya dengan membandingkan tegangan keluaran sebelum dan sesudah pembersihan, baik secara otomatis maupun manual. Hasil penelitian menunjukkan selisih tegangan antara panel kotor dan setelah dibersihkan alat sebesar 0,19 V (173 rpm), 0,15 V (85 rpm), dan 0,18 V (60 rpm), sementara selisih antara pembersihan alat dan manual sebesar 0,06 V (173 rpm) serta 0,04 V (85 rpm dan 60 rpm). Selain itu, daya panel saat stand by tercatat 1,9695 W, sedangkan saat alat bekerja meningkat signifikan menjadi 12,7108 W (173 rpm). Temuan ini membuktikan bahwa alat pembersih otomatis tidak hanya efektif dalam meningkatkan efisiensi panel surya tetapi juga lebih aman dibandingkan metode manual. Dengan demikian, penggunaan alat ini dapat menjadi solusi berkelanjutan untuk perawatan PLTS, khususnya di daerah dengan potensi debu tinggi seperti kawasan Timur Tengah. Penelitian ini memberikan kontribusi penting dalam pengembangan teknologi pembersihan panel surya yang efisien dan aman. 
Queen Honey Bee Migration-Based Optimization for Battery Management of Internet of Things Devices in High-Risk Emergency Scenarios Widiatmoko, Dekki; Aripriharta, Aripriharta; Sujito, Sujito
Journal of Robotics and Control (JRC) Vol. 6 No. 4 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v6i4.27285

Abstract

Efficient energy management in Internet of Things (IoT) devices is critical in dynamic, resource-constrained operational environments. This study proposes the Queen Honey Bee Migration (QHBM) optimization algorithm for managing Li-ion battery performance in IoT systems, employing the Shepherd battery model to simulate the nonlinear discharge behavior under varying load conditions. Three simulation scenarios of increasing complexity (5, 10, and 20 monitoring points) are used to represent urban operational dynamics. The performance of QHBM is quantitatively compared with four conventional optimization algorithms seperti Particle Swarm Optimization (PSO), Differential Evolution (DE), Genetic Algorithm (GA), and Firefly Algorithm (FA). Results show that QHBM maintains a current range of 3.80–5.20 A and a voltage range of 3.65–3.95 V, with State of Charge (SoC) predictions between 75–98%. It also achieves the fastest computation time (0.42–1.20 seconds) and demonstrates more stable performance under high-load dynamic scenarios compared to the other methods. This approach provides an adaptive and efficient optimization framework to support energy-aware decision-making in IoT systems operating in energy-constrained urban environments.
Integrasi Smart Camera dan AI untuk Mendukung Agribisnis Kopi Berkelanjutan di Wilayah Pedesaan Indonesia Kiranawati, Titi Mutiara; Aripriharta, Aripriharta; Zubaidah, Siti; Devi, Mazarina; Salwa, Nur Fadhila Rasyida; Ananta, Sasmita Bagus Sang Kesuma; Bagaskoro, Muhammad Cahyo
Abditeknika Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Oktober
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v5i2.9602

Abstract

Kendala utama agribisnis kopi pedesaan di Lembah Dilem Wilis, Trenggalek, adalah kualitas biji yang tidak konsisten akibat sortir manual. Sistem sortir otomatis berbasis Smart Camera dan AI dikembangkan untuk klasifikasi real-time biji kopi berdasarkan visual seperti warna dan ukuran. Dirancang dengan Raspberry Pi, sensor kamera, dan algoritma CNN , penerapannya melibatkan kolaborasi peneliti dan petani lokal secara partisipatif. Kami menggunakan 500 data latih yang diakuisisi dari aplikasi untuk pelatihan model CNN kami. Uji lapangan menunjukkan sistem ini mengurangi waktu sortir dari 45 menjadi 15 menit per kg, meningkatkan akurasi seleksi dari 75% menjadi 94%, dan melipatgandakan produktivitas harian. Analisis confusion matrix heatmap mengonfirmasi akurasi klasifikasi tinggi , dan sensor PZEM menunjukkan keandalan pemantauan daya. Meskipun meningkatkan efisiensi, tantangan adopsi petani kecil dan variasi kondisi biji kopi menjadi area pengembangan lebih lanjut. Evaluasi kuantitatif sebelum dan sesudah implementasi, menggunakan sampel biji kopi lokal, menegaskan bahwa integrasi teknologi ini meningkatkan efisiensi, mutu produksi, dan memberdayakan petani menuju agribisnis berkelanjutan.   The primary challenge for rural coffee agribusiness in Dilem Wilis Valley, Trenggalek, is inconsistent bean quality due to manual sorting. An automated sorting system based on Smart Camera and AI was developed for real-time classification of coffee beans based on visual parameters like color and size. Designed with a Raspberry Pi, camera sensor, and CNN algorithm , its implementation involved participatory collaboration between researchers and local farmers. We used 500 training data acquired from the application for our CNN model training. Field trials showed the system reduced sorting time from 45 to 15 minutes per kg, increased selection accuracy from 75% to 94%, and doubled daily productivity. Confusion matrix heatmap analysis confirmed high classification accuracy , and PZEM sensors demonstrated reliable power monitoring. While enhancing efficiency, challenges in small-scale farmer adoption and varied bean conditions present areas for further development. Quantitative evaluation before and after implementation, using local coffee bean samples, affirmed that this technology integration boosts efficiency, product quality, and empowers farmers towards sustainable agribusiness.
Inovasi Alat Cup sealer Otomatis untuk Produksi Air Minum dan Susu Jelly Guna Meningkatkan Produktivitas dan Kemandirian Ekonomi di PPYD Al Ikhlas Malang Nadhira, Anissa Chairani Alfin; Yuliana, Erma Surya; Asmarita, Yulmaisi Dwi; Ramadhani, I Gusti Ayu Isnaini Fatha; Choirunnisa, Fadhillah; Sunaryono; Aripriharta; Mufti, Nandang
LOSARI: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2025): Desember 2025
Publisher : LOSARI DIGITAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53860/losari.v7i2.508

Abstract

The demand for bottled drinking water continues to increase in line with population growth and rising public awareness of the importance of clean and hygienic water. PPYD Al-Ikhlas Malang, as a pesantren-based educational institution, seeks to develop a bottled water business unit as part of its economic self-sufficiency efforts. This activity aims to implement an automatic cup sealer system to improve production efficiency and product quality. The methods used include literature study, observation, system design, and direct implementation in the production unit. The results show that the use of an automatic cup sealer can increase production capacity by up to 60% compared to the manual method, reduce the risk of contamination, and lower labor costs. Therefore, this system makes a significant contribution to the development of the bottled water business within the pesantren environment.
Rancang bangun PLTS on-grid sebagai support daya listrik skala rumah tangga Kamil, Ilman; aripriharta
Jurnal Taman Vokasi Vol 11 No 1 (2023)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/jtvok.v11i1.13641

Abstract

Saat ini pemasangan PLTS pada  rumah tangga menjadi salah satu program pemerintah seperti yang tertera pada peraturan Menteri ESDM No.49 tahun 2018 yang  berisi izin pemasangan PLTS, produksi listrik mandiri dan ekspor listrik ke PLN. Metode yang digunakan pada perancangan PLTS  On-Grid ini menggunakan desain dan eksperimen. Desain pada perancangan menggunakan software online yaitu onshape,  sedangkan eksperimen dilakukan 7 hari dimana pengambilan data selama 6 jam setiap harinya pada cuaca panas, mendung dan  gerimis, data yang diambil disesuaikan dengan beberapa parameter seperti irradiasi matahari, intensitas cahaya, suhu, tegangan, arus  dan daya. Hasil pengukuran didapatkan bahwa besar tegangan dan arus yang dihasilkan sistem PLTS menurun seiring menurunnya  intensitas cahaya. Daya maksimal yang mampu dihasilkan PLTS pada cuaca panas adalah sebesar 156W, ketika cuaca mendung  daya maksimal sebesar 73.728W, sedangkan daya maksimal yang dihasilkan PLTS pada cuaca gerimis sebesar 24.706W. Dari hasil  pengujian juga didapatkan efisiensi PLTS On-Grid sebesar 16,5% dimana sistem ini dapat membantu memenuhi daya beban rumah  tangga yang digunakan selama kurang lebih 6 jam pada siang hari. Selain itu, nilai Root Mean Square Error pengukuran dc output sebesar 13.13 dan ac output sebesar 14.4. Sedangkan nilai BEP (Break Even Point) atau titik impas pembangunan sistem PLTS On Grid dengan performa rasio sebesar 93% akan didapatkan selama kurang lebih 9.1 tahun.
A Novel of PSO Modified Carrier-Based PWM Technique to Reduce Total Harmonic Distortion in The Inverter Topology 7-level Cascade H-Bridge Triple Voltage Boosting Gain Falah, Moh Zainul; Sujito, Sujito; Aripriharta, Aripriharta
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 4 (2024): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i4.29645

Abstract

This research focuses on optimizing the Particle Swarm Optimization (PSO) method in switching modulation to reduce total harmonic distortion (THD) in a 7-level Cascade H-Bridge Multi-Level Inverter (MLI) topology with triple voltage boosting gain. MLI Cascade H-Bridge is an inverter topology that is widely used in power conversion applications because of its ability to produce high voltage output with low harmonics. However, the resulting THD is still a major challenge in improving power quality. In this research, the PSO method is applied to find optimal parameters in switching modulation that can minimize THD. The research results show that the PSO method succeeded in reducing THD significantly with a THD value of 7.80% whereas the previous THD was 17.27%. The implementation of PSO in switching modulation is expected to be an effective solution for inverter applications in industry and power systems. The THD value from the PSO optimization is stated to be in accordance with IEEE 519 standards with a maximum permitted THD of 8%. This value is better than previous research, namely 17.27%.
Co-Authors A.N. Afandi Abdullah Iskandar Syah Ach. Syahrudin Fakhri Achmad Afif Irwansyah Achmad Hamdan Achmad Khofiyulloh Achmad Syahrudin Fakhri Achmad Taufiq Ade Siyanti Nurul Hidayah Adiguna, Satria Adim Firmansah Adim Firmansah Adim Firmansah Aditya Wahyu Setiawan Aede Hatib Mustaamal Afandi, Farrel Candra Winata Afif Abdul Hadi Agung Witjoro Agusta Rakhmat Taufani Ahmad Dardiri Ahmad Dhaffa' Nibrosoma Ahmad Dhaffa’ Nibrosoma3 Ahmad Fuadi Ahmad Munjin Nasih Ahmad Taufiq Ahmad Taufiq Aji Prasetya Wibawa Akhmad Afrizal Rizqi Al Ihsan, Rifqi Al Rasyid, Mochammad Syarifudin Alfarid Hendro Yuwono Ali, Haidar Alma Nur Roisatul Masruhah Amin, Muhammad Adib Ananta, Sasmita Bagus Sang Kesuma Andoko Andoko, Andoko Andri Nugroho Andriansyah, Muhammad Rizal Anie Yulistyorini Anik Nur Handayani Annisa Avrilia Annisa Firly Aprilia Putri Annisa Firly Aprilia Putri Arafah Husna Arfienda Miawa Tyassilva Arga Tri Agung Hermawan Aria Wibawa Arie Muazib Arisma Nurul Fauziyah Aryansyah Pratama ASMARITA, YULMAISI Asmarita, Yulmaisi Dwi Avrilia, Annisa Ayu Purwatiningsih Ayu Puwatiningsih Azizatus Zahro Bagaskoro, Muhammad Cahyo Che Ani, Adi Izhar Choirunnisa, Fadhillah Daniel Edo Dekki Widiatmoko Dekki Widiatmoko Didik Dwi Prasetya Diva Ayu Lestari Dodo Irmanto Dwi Mukti Asmoro Dwiwahyono, Irawan Dyah Lestari Dzul Fikri Muhammad Eka Mistakim Erfandy Erfandy Erfandy, Erfandy Erry Asnarindra Evie Dwi Jayanti Faidzin, Ilham Fakhri, Ach. Syahrudin Falah, Moh Zainul Fazi, Muhammad Yusril Fitri FX Yuswantoro Dwi Irawan Gabrielley Ferdhiansyah Riyadi Gunawan, M. Ricko Gwo-Jiun Horng Hadi, Afif Abdul Hadi, Sholihul Handayani , Anik Nur Hari Putranto Harits Ar Rosyid Hasan Firdiansyah, Muhammad Hendra Susanto Herlin Pujiarti Heru Wahyu Herwanto Hikmatul Amri Horng, Gwo Jiun Horng, Gwo-Jiun I Made Wirawan Ihsan Al-Fikri Ihsan, Rifqi Al Ilman Kamil Imam Alfianto Imam Saputra Ira Devi Sara Irham Fadlika Jayanti, Evie Dwi Joko Utomo Joumil Aidil Saifuddin Kaki, Gregorius Paulus Mario Laka Kamil, Ilman Kasiyanto Kasiyanto Kasiyanto Kasiyanto Kasiyanto Kasiyanto Kasiyanto, Kasiyanto Khoiruddin Asfanie Korba, Petr Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo Kusubakti Andajani Kusumaningrum, Irma Kartika Kusumawardana, Arya Laili, Mery Nur Langlang Gumilar Larasati, Jade Rosida Lilis Widayanti M Ibrahim Ashari M Rafli Dwi Suryanto M Rifa’i M Rifa’i M Rodhi Faiz M Rodhi Faiz M. Alfian Mizar M. Cahyo Bagaskoro M. Rodhi Faiz M. Rodhi Faiz, M. Rodhi Markus Diantoro Maslamah, Siti Mazarina Devi Mistakim, Eka Moh Zainul Falah Moh. Zainul Falah Mohamad Rodhi Faiz Mohammad Musthofa Al Ansyorie Mohammad Rodhi Faiz Mokh Sholihul Hadi MOKH. SHLIHUL HADI Mokh. Solikhul Hadia Muchamad Wahyu Prasetyo Muchamad Wahyu Prasetyo Muchamad Wahyu Prasetyo Mudakir, Mudakir Muhammad Adib Amin Muhammad Afnan Habibi Muhammad Aris Ichwanto MUHAMMAD CAHYO BAGASKORO Muhammad Cahyo Bagaskoro Muhammad Cahyo bagaskoro muhammad cahyo bagaskoro Muhammad Cahyo Bagaskoro Muhammad Hafiizh Muhammad Jazuli Shubhi Muhammad Jazuli Shubhi Muhammad Raihan Fitriyandi Muhammad Rizal Andriansyah Muhammad Rodhi Faiz Muhammad Yazid Muharnis Muharnis, Muharnis Muhiban Syabani Muhiban Syabani Muladi Nadea Catur Nurmayanti Nadhira, Anissa Chairani Alfin Nadiya Miftachul Chusna Nafi Isbadrianingtyas Naizatul Zainul Rofiqi Najmi, M. Ikhwan Nandang Mufti Nathaniela Azaria Ashari Nibrosoma, Ahmad Dhaffa Nikmah, Revalina Nazilatun Nofa Mardianto Nor Julia Mohd Nordin Nor Shahida Hasan Norzanah Rosmin Norzanah Rosmin Norzanah Rosmin Nugraha, Agil Zaidan Nur Shasmitta Zaen Nurul Putri Wulandari Omar, Saodah Patrya, Sukma Pramono Pramono Pratama, Aryansyah PRIA EKA RESWANA Puger Homggowiyono Purnomo, Purnomo Purwatiningsih, Ayu Quota Sias Raffi Taufik Gushardana Rafli Amirul Husain Rafli Amirul Husain Rahmadhani, Nur Aini Syafrina Rahman, Rizal Akbarudin Ramadhani, I Gusti Ayu Isnaini Fatha Ridho Riski Hadi Rifqi Al Ihsan Rini Nur Hasanah Riski, Akhmad Afrizal Riya Mustikasari Rodhi Faiz Ronny Ardiansah Roshifah Dinilqoyyimah Rosmin, Norzanah Rui Alfadel Saputra Salwa, Nur Fadhila Rasyida Sandriana Parantean Saodah Omar Saodah Omar Saodah Omar Saparullah Saparullah SASMITA BAGUS SANG KESUMA ANANTA Satia Nur Maharani Satria Adiguna Satrio, Yogi Dwi Setiawan, Aditya Wahyu Setiawan, Toni Putra Agus Sevilla, Felix Rafael Segundo Sholihul Hadi Sias, Quota Alief Siti Aisyah Siti Maherah Husin Siti Sendari Siti Zubaidah Siti Zubaidah Siti Zumaroh Slamet Wibawanto Soenar Soekopitojo Soraya Norma Mustika Suhiro Wongso Susilo Suhiro Wongso Susilo Sujito - Sujito . Sujito Sujito Sujito Sujito Sukmawan, Bijak Akbar Sulistyo, Danang Arbian Sunaryono Sunaryono Sunaryono Sunaryono Sunaryono, Sunaryono Suprayitno Suprayitno Suryani, Ani Wilujeng Susilo, Suhiro Wongso Syaad Patmanthara Syabani, Muhiban Syamsul Arifin Tamara Fitri Andansari Titi Mutiara Kiranawati Tiwi Ananda Toni Putra Agus Setiawan Tri Kuncoro Triyanna Widiyaningtyas Viky Yosia Priambodo Viky Yosia Priambodo, Vivi Aida Fitria Wibawa, Aji Presetya Wibowo, Kusmayanto Hadi Widiatmoko, Dekki Wisnu Wahyu Nugroho Yazid, Muhammad Yogi Sastra Surya Yuli Agustina, Yuli Yuliana, Erma Surya Yuni Rahmawati Yusril Al Fath Zaeni, Ilham Ari Elbaith Zaeni, lham Ari Elbaith Zory Satrio Nugroho Zulkifli, Shamsul Aizam