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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) Transmisi: Jurnal Ilmiah Teknik Elektro KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Bulletin of Electrical Engineering and Informatics Jurnal Mahasiswa TEUB Jurnal Teknologi Jurnal EECCIS REKAYASA e-Jurnal Arus Elektro Indonesia ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Network Engineering Research Operation [NERO] Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System JOURNAL OF SCIENCE AND APPLIED ENGINEERING Jurnal Kelautan Nasional Jurnal Teknik Mesin dan Mekatronika (Journal of Mechanical Engineering and Mechatronics) Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science ALINIER: Journal of Artificial Intelligence & Applications Jurnal Nasional Teknik Elektro dan Teknologi Informasi SNTE
Rini Nur Hasanah
Departemen Teknik Elektro, Fakultas Teknik, Universitas Brawijaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation Other

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Multi-verse optimization based evolutionary programming technique for power scheduling in loss minimization scheme Muhamad Hazim Lokman; Ismail Musirin; Saiful Izwan Suliman; Hadi Suyono; Rini Nur Hasanah; Sharifah Azma Syed Mustafa; Mohamed Zellagui
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (562.209 KB) | DOI: 10.11591/ijai.v8.i3.pp292-298

Abstract

The growth of computational intelligence technology has witnessed its application in numerous fields. Power system study is not left behind as far as computational intelligence trend is concerned. In power system community, optimization process is one of the crucial efforts for most remedial action to maintain the power system security. Basically, power scheduling refers to prior to fact action (such as scheduling generators to generate certain powers for next week). Power scheduling process is one of the most important routines in power systems. Scheduling of generators in a power transmission system is an important scheme; especially its offline studies to identify the security status of the system. This determines the cost effectiveness in power system planning. This paper investigates the performance of multi-verse based evolutionary programming (lowest EP) technique in the application of power system scheduling to ensure loss is gained by the system. Losses in the system can be controlled through this implementation which can be realized through the validation on a chosen reliability test system as the main model. Validation on IEEE 30-Bus Reliability Test System resulted that both techniques are reliable and robust in addressing this issue.
Alternative Grounding Method Using Coconut Shell Charcoal as Media of Mesh Electrodes Moch Dhofir; Rini Nur Hasanah; Hadi Suyono; Avrizal Riva Belan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 2: April 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i2.8700

Abstract

The utilization of coconut charcoal as alternative media of grounding was investigated. The mesh-electrode was made of stainless steel of 8-mm diameter, whereas its lattice dimension was 50cmx50cm. Four variations of lattice number were considered, i.e. 1-, 2-, and 4-lattice structures. Dry and wet charcoal media were considered. Mesh location was fixed in the depth of 80cm under the ground, while the 10cm of medium thickness variation was chosen. The resistance obtained using 10-cm thickness of charcoal layer in a mesh consisting of 1-, 2-, and 4-lattices were 268, 131, and 78 ohms consecutively. The addition of layer up to 80-cm resulted in a resistance decrease of 48%, 33%, and 44%. Using wet charcoal, the 10-cm layer produced 26.5, 17.5, and 14.8 ohms of grounding resistance and a reduction of 25%, 10%, and 3.6% subsequently for 1-, 2-, and 4-lattice mesh structure if the layer thickness was 80 cm.
VRLA battery state of health estimation based on charging time Akhmad Zainuri; Unggul Wibawa; Mochammad Rusli; Rini Nur Hasanah; Rosihan Arby Harahap
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.12241

Abstract

Battery state of health (SoH) is an important parameter of the battery’s ability to store and deliver electrical energy. Various methods have been so far developed to calculate the battery SoH, such as through the calculation of battery impedance or battery capacity using Kalman Filter, Fuzzy theory, Probabilistic Neural Network, adaptive hybrid battery model, and Double Unscented Kalman Filtering (D-UKF) algorithm. This paper proposes an approach to estimate the value of battery SoH based on the charging time measurement. The results of observation and measurements showed that a new and used batteries would indicate different charging times. Unhealthy battery tends to have faster charging and discharging time. The undertaken analysis has been focused on finding out the relationship between the battery SoH and the charging time range. To validate the results of this proposed approach, the use of battery capacity method has been considered as comparison. It can be concluded that there is a strong correlation between the two discussed SoH estimation methods, confirming that the proposed method is feasible as an alternative SoH estimation method to the widely known battery capacity method. The correlation between the charging-disharging times of healthy and unhealthy batteries is very prospective to develop a battery charger in the future with a prime advantage of not requiring any sensor for the data acquisition.
Comparison of Solar Radiation Intensity Forecasting Using ANFIS and Multiple Linear Regression Methods Hadi Suyono; Rini Nur Hasanah; R. A. Setyawan; Panca Mudjirahardjo; Anthony Wijoyo; Ismail Musirin
Bulletin of Electrical Engineering and Informatics Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (659.58 KB) | DOI: 10.11591/eei.v7i2.1178

Abstract

Solar radiation forecasting is important in solar energy power plants (SEPPs) development. The electrical energy generated from the sunlight depends on the weather and climate conditions in the area where the SEPPs are installed. The condition of solar irradiation will indirectly affect the electrical grid system into which the SEPPs are injected, i.e. the amount and direction of the power flow, voltage, frequency, and also the dynamic state of the system. Therefore, the prediction of solar radiation condition is very crucial to identify its impact into the system. There are many methods in determining the prediction of solar radiation, either by mathematical approach or by heuristic approach such as artificial intelligent method. This paper analyzes the comparison of two methods, Adaptive Neuro Fuzzy Inference (ANFIS) method, which belongs into the heuristic methods, and Multiple Linear Regression (MLP) method, which uses a mathematical approach. The performance of both methods is measured using the root mean square error (RMSE) and the mean absolute error (MAE) values. The data of the Swiss Basel city from Meteoblue are used to test the performance of the two methods being compared. The data are divided into four cases, being classified as the training data and the data used as predictions. The solar radiation prediction using the ANFIS method indicates the results which are closer to the real measurement results, being compared to the the use MLP method. The average values of RMSE and MAE achieved are 123.27 W/m2 and 90.91 W/m2 using the ANFIS method, being compared to 138.70 W/m2 and 101.56 W/m2 respectively using the MLP method. The ANFIS method gives better prediction performance of 12.51% for RMSE and 11.71% for MAE with respect to the use of the MLP method.
Klasifikasi Penyakit Mata Katarak berdasarkan Kelainan Patologis dengan menggunakan Algoritma Learning Vector Quantization Rudi Hariyanto; Achmad Basuki; Rini Nur Hasanah
Journal of Mechanical Engineering and Mechatronics Vol 1, No 02 (2016): Journal of Mechanical Engineering and Mechatronics
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.354 KB) | DOI: 10.33021/jmem.v1i02.95

Abstract

Cataract is one type of eye damage which causes the lens of the eye, nearsightedness which varies according to the level becomes blindness. Cataract eye disease is eating slowly, little by little without the pain experienced by patients but if handled too late then lead to permanent blindness. Eyepiece contains 65% water, 35% protein and the rest are minerals. With increasing age, size and mineral density increases. The accuracy of the determination of the type and location of early cataract is very important to prevent the severity of the impact of more severe cataracts. The main procedure of cataract diagnosis (Gold Standard procedure) was performed using computed tomography (CT) scan and Magnetic Resonance Imaging (MRI). Alternative diagnosis can be made through physical examination, laboratory tests, medical history, and other relevant information. The purpose of this paper presents the results of a study on the implementation of the method of Learning Vector Quantization (LVQ) to facilitate the determination of the classification of types of cataract disease and its severity. The results showed that the use LVQ provide the level of accuracy of the determination of the amount of (99%) as well as the duration of training (training) sample of (0.06 seconds).
Comparison of Solar Radiation Intensity Forecasting Using ANFIS and Multiple Linear Regression Methods Hadi Suyono; Rini Nur Hasanah; R. A. Setyawan; Panca Mudjirahardjo; Anthony Wijoyo; Ismail Musirin
Bulletin of Electrical Engineering and Informatics Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (659.58 KB) | DOI: 10.11591/eei.v7i2.1178

Abstract

Solar radiation forecasting is important in solar energy power plants (SEPPs) development. The electrical energy generated from the sunlight depends on the weather and climate conditions in the area where the SEPPs are installed. The condition of solar irradiation will indirectly affect the electrical grid system into which the SEPPs are injected, i.e. the amount and direction of the power flow, voltage, frequency, and also the dynamic state of the system. Therefore, the prediction of solar radiation condition is very crucial to identify its impact into the system. There are many methods in determining the prediction of solar radiation, either by mathematical approach or by heuristic approach such as artificial intelligent method. This paper analyzes the comparison of two methods, Adaptive Neuro Fuzzy Inference (ANFIS) method, which belongs into the heuristic methods, and Multiple Linear Regression (MLP) method, which uses a mathematical approach. The performance of both methods is measured using the root mean square error (RMSE) and the mean absolute error (MAE) values. The data of the Swiss Basel city from Meteoblue are used to test the performance of the two methods being compared. The data are divided into four cases, being classified as the training data and the data used as predictions. The solar radiation prediction using the ANFIS method indicates the results which are closer to the real measurement results, being compared to the the use MLP method. The average values of RMSE and MAE achieved are 123.27 W/m2 and 90.91 W/m2 using the ANFIS method, being compared to 138.70 W/m2 and 101.56 W/m2 respectively using the MLP method. The ANFIS method gives better prediction performance of 12.51% for RMSE and 11.71% for MAE with respect to the use of the MLP method.
KLASIFIKASI PENYAKIT MATA KATARAK BERDASARKAN KELAINAN PATOLOGIS DENGAN MENGGUNAKAN ALGORITMA LEARNING VECTOR QUANTIZATION Rudi Hariyanto; Achmad Basuki; Rini Nur Hasanah
Network Engineering Research Operation Vol 2, No 3 (2016): NERO
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (655.322 KB) | DOI: 10.21107/nero.v2i3.63

Abstract

PERANCANGAN ALAT DISTILASI AIR LAUT TENAGA HYBRID UNTUK PEMENUHAN KEBUTUHAN AIR TAWAR BAGI WARGA PESISIR PANTAI Fitra Rahmat Indyanto; Rini Nur Hasanah; Eka Maulana
Jurnal Mahasiswa TEUB Vol 2, No 7 (2014)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

Wilayah pesisir pantai dan pulau-pulau kecil di tengah lautan lepas merupakan daerah-daerah yang sangat miskin akan ketersediaan sumber air tawar. Air laut kurang dimanfaatkan untuk keperluan sehari-hari karena mempunyai kesadahan yang tinggi. Di Indonesia, lama waktu ketersediaan radiasi (waktu matahari bersinar) dalam setahun juga hampir sama, yaitu rata-rata sekitar 12 jam sehari. Energi dari matahari ini dimanfaatkan untuk menguapkan air laut pada proses distilasi, dimana air tawar bisa didapat dari uap air laut yang mengembun. Pada penelitian ini, energi dari matahari tidak hanya digunakan untuk memanaskan air laut yang ada didalam wadah atau disebut sebagai rumah evaporator, namun juga untuk memberikan tenaga pada solar cell yang nantinya menghasilkan daya untuk mengisi Accu, Sistem ini disebut sebagai sistem hybrid. Tegangan keluaran solar cell dirasakan oleh sensor tegangan yang akan menjadi masukan cuk converter. Cuk converter digunakan untuk menstabilkan tegangan keluaran solar cell menjadi 15 volt. Accu digunakan sebagai sumber tegangan yang disambungkan ke elemen pemanas yang berfungsi sebagai heater. Heater ini akan menyala apabila panas dari matahari tidak mencukupi untuk proses penguapan atau suhu yang ada di dalam rumah evaporator tidak mencapai set point yang telah ditetapkan, Suhu di dalam rumah evaporator dirasakan oleh sensor suhu PT100 yang akan diolah oleh Mikrokontroler Arduino Uno. Sistem on/off pada heater menggunakan rangkaian relay module. Pada penelitian ini, dalam 3,5 liter air laut yang diuapkan selama 10 jam, dapat menghasilkan 1,076 liter air tawar. Dan total daya yang digunakan sebesar 184,06 Watt.Kata Kunci—distilasi, hybrid, cuk converter, solar cell.
PERBAIKAN PROFIL TEGANGAN BUS PADA PENGOPERASIAN EKONOMIS PEMBANGKIT LISTRIK Mu'ammar Faris L.; Hadi Suyono; Rini Nur Hasanah
Jurnal Mahasiswa TEUB Vol 3, No 5 (2015)
Publisher : Jurnal Mahasiswa TEUB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (81.093 KB)

Abstract

Peningkatan beban pada sistem tenaga listrik dan biaya bahan bakar yang semakin mahal menyebabkan pengeluaran biaya bahan bakar semakin tinggi serta akibat letak gardu induk yang jauh dari pusat beban juga menyebabkan jatuh tegangan yang cukup signifikant dan menimbulkan nilai rugi daya yang besar. Masalah tersebut dapat diatasi dengan menggunakan operasi ekonomis pembangkit tenaga listrik dengan menerapkan metode Lagrange serata peletekan Kapasitor Bank dengan metode Real-coded Genetic Algorithm(RGA) . Tujuan dari penelitian ini adalah menentukan penjadwalan pada masing – masing unit pembangkit tenaga listrik sehingga didapatkan daya keluaran yang optimal dengan biaya total bahan bakar yang minimum serta menentukan lokasi serta kapasitas Kapasitor Bank yang optimal. Data yang diuji dalam penelitian ini adalah pembangkit listrik tenaga termal sistem IEEE 30 Bus dan sistem 500 kV Jawa – Bali.Hasil simulasi menunjukkan bahwa untuk sistem dengan pembebanan jam 19.30 WIB optimasi penempatan Kapasitor Bank menggunakan metode RGA mampu mengurangi rugi daya aktif sebesar 9,83% dari 164,635 MW menjadi 148,454 MW, dan mengurangi rugi daya reaktif sebesar 13.42% dari 1.371,980 MVAR menjadi 1.187,827 MVAR pada sistem dengan pembebanan pukul 19.30. Selain itu tegangan tiap bus dapat diperbaiki hingga berada pada batas tegangan yang diijinkan khususnya bus- bus dengan kondisi tegangan undervoltage yaitu 6 bus.Lokasi dan kapasitas optimal untuk penempatan Kapasitor Bank yaitu pada bus 12 (Bandung Selatan), bus 13 (Mandiracan), bus 14 (Ungaran), bus 15 (Tanjung Jati), bus 19 (Tasikmalaya), dan bus 20 (Pedan) dengan kapasitas masing-masing 158 MVAR, 226 MVAR, 213 MVAR, 166 MVAR, 138 MVAR, dan 262 MVAR pada pembebanan Pukul 19.30.Kata kunci— Operasi Ekonomis, Lagrange, kapasitor bank, RGA
PENGARUH VARIASI DUTY CYCLE TERHADAP STRESS TEGANGAN DALAM PENERAPAN VOLTAGE LIFT CELL PADA QUADRATIC BOOST CONVERTER Andy Surya Adi; Rini Nur Hasanah; Lunde Ardhenta
Jurnal Mahasiswa TEUB Vol 8, No 1 (2020)
Publisher : Jurnal Mahasiswa TEUB

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

Abstract

Penelitian ini membahas tentang pengaruh variasi duty cycle pada stress tegangan terhadap rangkaian quadratic boost converter dengan voltage lift cell. Pada penelitian ini juga membahas perbandingan kinerja dari quadratic boost converter dengan voltage lift cell dan boost converter konvensional. Kedua rangkaian tersebut memiliki konfigurasi yang berbeda. Konfigurasi dilakukan dengan tujuan untuk mendapatkan range tegangan keluaran yang lebih besar dibandingkan dengan boost converter. Perbandingan yang dilakukan adalah dengan membandingkan gain tegangan, komponen yang digunakan, dan topologi konverter. Kedua konverter akan diuji dengan spesifikasi yang sama dengan tujuan untuk mengetahui bagaimana perbandingan keluaran antara kedua konverter. Spesifikasi yang dimaksud adalah tegangan masukkan, frekuensi dan duty cycle dimana tegangan masukan bernilai 12 V, frekuensi 55,555 kHz,  duty cycle 10%-80%. Hasil pengujian menunjukan bahwa quadratic boost converter memiliki gain tegangan yang lebih besar yaitu hingga 5 kali lipat dari boost converter konvensional. Kata kunci : double gain, buck-boost, converter.   ABSTRACT This research describes about effect of duty cycle variation for voltage stress on quadratic boost converter with voltage lift cell. This research also discuss about performance comparison from quadratic boost converter with voltage lift cell and conventional boost converter. Both circuits have difference configuration. The purpose of configuration is to obtain higher output voltage range than conventional boost converter. The comparison is based on voltage gain, component was used, and the topologies from both converters. Both converters will be tested with the same specification. The specification is about input voltage 12V, switching frequency 55,555 kHz, and duty cycle 10%-80%. The result shows that quadratic boost converter have higher voltage gain that is 5 times higher than the conventional boost converter. Keywords: quadratic, voltage lift, voltage stress, converter.
Co-Authors Abdi Pandu Kusuma Abdurrasyid Jahdan ABDURROHIM, MOHAMMAD SALMAN Achmad Basuki Achmad Yahya Chasanuddin Adi, Hari Purnomo Aditya Bagus Setyawan Aditya Dwi Putranto Adityara, Farrel Billy Ahmad Fajar Robiyanto Ahsein Jomaa Alshibani Ainul Hayat Akbar, Alif Aulia Al Fawwaz, Muhammad Ghozi Alief Aulia Pradika Wijaya Alief Nasruddin Allaam, Hisyam Ghozi Alsabah, Mus Ali Altajim, Fauzan Aiman Amir Fahmi Ananda, Andhika Dwi Andreyanto, Tegar Setyo Andrian Dwiputro Andy Surya Adi Angkasa, Aulia Anik Nur Handayani Ansyaruddin Rahmatdiansyah Anthony Wijoyo Ardiansyah, Muhammad Doni Ardiansyah, Rendy Ardiansyah, Rizky Ariefianto, Rizki Mendung Arif Resnu Putra Aripriharta - Ariq Kusuma Wardana Arizky Erwinsyah H. Armeyelia, Bulan Assariy, Muhammad Faiz Astuti, Khairina Noor Avrizal Riva Belan Ayob, Shahrin Md. Azmi, Azralmukmin Banu Hermawan Yuditya Basuki Winarno Basuki Winarno, Basuki Bernadus Blasio Arsoni Berry Bustan Bastian Bimo Ardiansyah Bobby Pratama Budiono Mismail Censa Widianing Mulya Baskara Chandra Wiharya Chandra, Aulia Adi Cita Rahiim Tama Claudio Bryllian Adam Z. Corina Martineac Danang Dwi Andaru Dandhi Tri Laksono David Suban Koten Derry Putranugraha Devanda Antonius Y. R. Dhofir, Mochammad Dicky Indratama Didik Rahadi Santoso Dimas Diar Aidi Ditza Pasca Irwangsa Dodit Suprianto Duta Narendratama Dzikrullah, Hafeeza Rinn Edypoerwa, Mugni Labib Edypoerwa, Mugni Labib Eka Maulana Eko Kuncoro Erwan Aryanto Erya Septy Dwi Wardhani Fadhil Ilma Fairuz Milkiy Kuswa Faiz Yusky Ahlian Fariz Aulia Rifqi Fauzi, Zulfa Anang Fianto, Aulia Ramadhan Fitra Rahmat Indyanto Frediawan Yuniar Galuh Prawestri Citra Handani Gatut Yulisusianto Goegoes Dwi Nusantoro Gwo-Jiun Horng Gymnastiar, Muhammad Ilham Habibah, Nisrina Rania Habriansyah Basta Nugraha Hadi Suyono Hadi Suyono Hadi Suyono Hadi Suyono Hadi Suyono Handani, Galuh Prawestri Citra Handari, Yosi Dwi Handoyono, Tito Tri Harfin Pratama Hari Santoso Hari Santoso Haris Altamira Harry Soekotjo Dachlan Hatorangan, Orlando Hazlie Mokhlis Hendrik Kenedy Tupan Heru Purnomo Hery Aprianto Hery Purnomo Hidayat, Ryan Mevi Hikam, Aldi Lutfil Himam, Fanisha Laila Himawan, Achmad Faisal I Nyoman Gde Wardana Ihza Aulia Rahman Ilham Ramadhan Maulana Imam Prakoso Indah Permata Sari Safti Indra Setyawan Irfan Aditya Primanto Irvan, Muh. Zulvi Islam, Muhammad Gul E. Ismail Musirin Ismail Musirin Ivan Pascal Al Ghafiky Izzul Islam Putra Nusantara Jacob Jonas Rikumahu Jeki Saputra Johanis Tupalessy Khairudin Syah Khoirul Herman Pambudi Khusnul Hidayat Koko Sasmito Kristo Radion Purba Kurniawan, Muh Alif Deby Lalu Riza Aliyan Lalu Riza Aliyan Latif, Nabila Fauziah Lestariyanto, Arthur Rahmad Lilik J. Awalin Lintang Gadis Ratu Rachellya Liza Putri Dafroni Lunde Ardhenta Luthfan Akbar Azizan Firdaos M Fauzan Edy Purnomo M. Arie Hendro Tri Hartomo M. Azis Muslim M. Aziz Muslim M. Aziz Muslim M. Aziz Muslim M. Dhia Ul Falah Mahfudz Shidiq Mamdouh Abdel-Akher Mardotillah, Nanda Azizah Markus D. Letik Maulana, Eka Maynaki, Erlangga Rizky Moch Dhofir Moch Dhofir Moch. Dhofir Moch. Dhofir Moch. Dhofir Mochammad Muchlis Triwahyudi Moh. Farid Rahman Mohamad Najib Priyo Prakoso Mohamed Zellagui Mohammad Salman Abdurrohim Mokhammad Hasyim Asy’ari Mu'ammar Faris L. Muchammad Ali Mudjirahardjo, Panca Muhamad Hazim Lokman Muhammad Amienullah Nisful Habibie MUHAMMAD ASYROF Muhammad Aziz Muslim Muhammad Aziz Muslim Muhammad Fadillah Kurniawan Muhammad Fauzan Edy Purnomo Muhammad Ghilmanuddin S. Muhammad Rahmatullah Al-Qaedi Muhammad Ridho Ansyari Muhammad Rifqi Nur Sabilillah Muhammad Rizky Wira Utomo Muhammad Sholikhin Muhammad Syarifuddin Anshor Muhammad Syukri Abdul Jalil Muharrama Ahsani Taqwim Mukti Friyan Aditama Musa Khairul Umam Musirin, Ismail Bin Muslimin Muslimin Mutia Tsari n/a Hariyono n/a Nurussa'adah n/a Soeprapto n/a Wijono n/a Wijono Nadhea Primasetya Nanang Sulistiyanto Nico Gautama Ginting Nisrina Rania Habibah Norzanah Rosmin Nur Rahma Dona Nur Sabilillah, Muhammad Rifqi Nur Vidya Ramadhani Nurhakiki, Mauludiya Annisa Nurizza Salsa Alafia Nurussa'adah, n/a Nurussa’adah, n/a Nurwati, Tri Onny Setyawati Paramita Dwi Putri Pranyata Pausta Yugianus Pegy Lestari Pieter S. Tatipikalawan Prabowo, Muhamad Romadhani Pradipta, Doni Prasetyanto, Andi Wahyu Purnomo Budi S. Purnomo, Purnomo Putera, R. P. Ravie O. Mucheyz Putra, Ade Mahendra Darma Putra, Hari Widagdo Putra, I Made Alit Antara Putri P., Paramita Dwi R. A. Setyawan Rachman Shandy Pratama Rahardjo, Muhammad Farid Rakhmad Ramadhan Ramadhan Khansa Akbari Ramadhani Kurniawan Subroto Raymond Abdul Aziz Ash Shidiq WR Rendy Ardiansyah Resi Dwi Jayanti Kartika Sari Ridhwan Athaya P. Ridlwan, Asfarur Rifka Agustina Kusuma Pratiwi Rifki, Mohammad Ya’kub Rizal Riko Nur Akbar Risnugroho, Brian Rizki Mendung Ariefianto Rizki Mendung Ariefianto Rizki Tirta Nugraha Rizki, Fahrina Novia Rizky Adhiputra Wallad Rizky Ardiansyah Rizqi Taufiqurrahman Rizqi Wahyu Rahmariadi Rizqiyatullah, Muhammad Rafli Rosihan Arby Harahap Rudi Hariyanto Rusli, Mochammad Saiful Izwan Suliman Salim, Mohammad Agus Santoso, Asfari Hariz Saputra, Didit Sugeng Septi Uliyani Septian Kevin Aditama Setiawan, Aditya Bagus Sharifah Azma Syed Mustafa Shidqi, Fahruddin Shufinah, Syahla Siagian, Alfandri Sidik Nurcahyo Sigi Syah Wibowo Sintha Dwiferma Br Sinurat Siswandi, Wawan Soeprapto - Soeprapto Soeprapto Sofiatus Solihah Soleman Sesa Soleman Sesa, Soleman Subroto, Ramadhani Kurniawan Suci Imani Putri Suparman Suparman Surya Adi Purwanto SUTEJA, RAI PRAMESTI Suyono, Hadi Syarif, Habib Tajuddin, Mohammad Faridun Naim Taufik Taufik Taufik Taufik Taufik Taufik Teguh Utomo Teguh Utomo teub elektro teub Tole Sutikno Tri Nurwati Tri Nurwati Tri Wahyu Prabowo Tumpak Samosir Ullin Dwi Fajri A. Unggul Wibawa Unggul Wibawa Victor Andrean Vita Kusumasari Wahyu Nur Firdausy Wardani, Alya Kusuma Wardhana, Anak Agung Sagung Gede Paramitha Waru Djuriatno Waru Djuriatno Welly Hagata Kembaren Widyananda, Eka Putra Widyananda., Putra Wijaya, Rizki Adi Wijono Wijono Wijono Wijono Wijono Wijono Wijono Wijono Wijono Wijono Wijono Wijono Wijono Wijono, n/a Wijono, n/a Wildan Alfi Syahri Wiwied Putra Perdana Yosep Agus Pranoto Yosi Dwi Handari Zainul Abidin ZAINUL ABIDIN Zainuri, Akhmad Zamrud Kurnia Prasetyo Zuhdi, Fadhil Ariq