p-Index From 2021 - 2026
20.165
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL SISTEM INFORMASI BISNIS Proceedings of KNASTIK Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika SPEKTRUM INDUSTRI Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknik Elektro Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Jurnal Pseudocode Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Jurnas Nasional Teknologi dan Sistem Informasi JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Teknologi Elektro INFORMAL: Informatics Journal Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Bulletin of Electrical Engineering and Informatics JOIN (Jurnal Online Informatika) Edu Komputika Journal Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Informatika Jurnal Khatulistiwa Informatika Journal of Information Technology and Computer Science (JOINTECS) Jurnal Ilmiah FIFO INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT InComTech: Jurnal Telekomunikasi dan Komputer Insect (Informatics and Security) : Jurnal Teknik Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Applied Information System and Management ILKOM Jurnal Ilmiah Compiler MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Teknologi Sistem Informasi dan Aplikasi CYBERNETICS Digital Zone: Jurnal Teknologi Informasi dan Komunikasi PHARMACY: Jurnal Farmasi Indonesia (Pharmaceutical Journal of Indonesia) JUMANJI (Jurnal Masyarakat Informatika Unjani) JURTEKSI RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Informatika : Jurnal Informatika, Manajemen dan Komputer Jurnal Ilmiah Mandala Education (JIME) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Systemic: Information System and Informatics Journal Jurnal Teknologi Terpadu EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Buletin Ilmiah Sarjana Teknik Elektro Mobile and Forensics Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Journal of Robotics and Control (JRC) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Cyber Security dan Forensik Digital (CSFD) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal E-Komtek JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) International Journal of Advances in Data and Information Systems International Journal of Marine Engineering Innovation and Research Edunesia : jurnal Ilmiah Pendidikan JITU : Journal Informatic Technology And Communication Journal of Innovation Information Technology and Application (JINITA) Tematik : Jurnal Teknologi Informasi Komunikasi Infotech: Journal of Technology Information Jurnal Teknologi Informatika dan Komputer Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Humanism : Jurnal Pengabdian Masyarakat International Journal of Robotics and Control Systems J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Techno Wahana Jurnal Pengabdian Informatika (JUPITA) Sinteza Jurnal INFOTEL Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Accounting Information System (AIMS) Scientific Journal of Informatics Control Systems and Optimization Letters Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat Signal and Image Processing Letters Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Edumaspul: Jurnal Pendidikan Methods in Science and Technology Studies JOCHAC Proceeding of Informatics Collaborations and Dessimenation Meeting (Infocoding)
Claim Missing Document
Check
Articles

Developing a Delphi Validated Instrument for Assessing Digital Forensics Readiness Based on COBIT 2019 Rochmadi, Tri; Fadlil, Abdul; Riadi, Imam
International Journal of Advances in Data and Information Systems Vol. 6 No. 3 (2025): December 2025 - International Journal of Advances in Data and Information Syste
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i3.1453

Abstract

The increasing complexcity of cyber threats has reinforced the need for robust digital forensic readiness in higher education institutions. However, existing frameworks often lack integration between forensic capabilities and IT governance practices. Objective: This study aims to develop and validate a new instrument to assess digital forensic readiness based on the COBIT 2019 framework. Methods: A three-round Delphi process was conducted with seven digital forensics and IT governance experts to develop and validate a new instrument comprising forty proposed indicators across six domains. Result : The instrument achieved full context, with  I-CVI values increasing from 0.60 to 0.99 and IQR values reaching  1.00 across all items. Implications: The validated instrument integrates governance and forensic principles, providing a standardized tool for institutional self-assessment and policy development, while contributing methodologically through the use of a structured Delphi validation process.
Identification of Learning Javanese Script Handwriting Using Histogram Chain Code Arif Budiman; Abdul Fadlil; Rusydi Umar
Edumaspul: Jurnal Pendidikan Vol 7 No 1 (2023): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

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

Abstract

One of the wealth of the Indonesian nation is the many tribes with their own languages and scripts. One of the scripts that has existed since long before the independence of the State of Indonesia is the Javanese script, with the use of Latin script used by almost every aspect of life, both official official activities and daily use, the use of traditional scripts, especially Javanese script, is increasingly scarce. To facilitate learning the Javanese script, learning media is needed with the ability to recognize Javanese characters. In this study, pre-processing was used, especially feature extraction using the Histogram Chain Code (HCC) method and classification using artificial neural networks using the Multi Layer Perceptron method. This study compares four research models by setting the number of HCC feature extraction parameters obtained from one intact image and 3 divided images of 4, 9 and 16 parts respectively so that the total parameters of each HCC model are 8, 32, 72 and 128 parameters characteristic. The training and testing process using the Multi Layer Perceptron method uses 2000 handwritten Javanese script image data which is divided into 80%, namely 1600 images for the training process and 400 images for the testing process. This research resulted in different accuracies, namely 57%, 78%, 83% and 76%. The best accuracy is obtained from the HCC model with 72 parameters and the image is divided into 9 sections.
Integration of Zachman Framework and TOGAF ADM on Academic Information Systems Modeling Fadlil, Abdul; Riadi, Imam; Basir, Azhar
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1952.179 KB) | DOI: 10.29407/intensif.v5i1.14678

Abstract

Zachman Framework (ZF) and The Open Group Architecture Framework (TOGAF) are Architecture Frameworks often used in Architecture Enterprise's implementation. Each side of the two architecture Frameworks has advantages and disadvantages. Sekolah Tinggi Manajemen Informatika dan Komputer Muhammadiyah Paguyangan Brebes (STMIK MPB) is a new university established on April 28, 2017; STMIK MPB as a new university has no plans in building an information system. The research will select the parts that exist in the ZF and TOGAF methodologies. The two methods will be combined and compiled to be applied to the Academic Information System modeling or blended methods. These research results are architectural blueprints that can be used as a reference in the development of academic information systems.
Similarity Identification Based on Word Trigrams Using Exact String Matching Algorithms Fadlil, Abdul; Sunardi, Sunardi; Ramdhani, Rezki
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 6 No 2 (2022): August 2022
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v6i2.18141

Abstract

Several studies regarding excellent exact string matching algorithms can be used to identify similarity, including the Rabin-Karp, Winnowing, and Horspool Boyer-Moore algorithms. In determining similarities, the Rabin-Karp and Winnowing algorithms use fingerprints, while the Horspool Boyer-Moore algorithm uses a bad-character table. However, previous research focused on identifying similarities using these algorithms based on character n-gram. In contrast, identification based on the word n-gram to determine the similarity based on its linguistic meaning, especially for longer strings, had not been covered yet. Therefore, a word-level trigram was proposed to identify similarities based on the word trigrams using the three algorithms and compare each performance. Based on precision, recall, and running time comparison, the Rabin-Karp algorithm results were 100%, 100%, and 0.19 ms, respectively; the Winnowing algorithm results with the smallest window were 100%, 56%, and 0.18 ms, respectively; and the Horspool algorithm results were 100%, 100%, and 0.06 ms. From these results, it can be concluded that the performance of the Horspool Boyer-Moore algorithm is better in terms of precision, recall, and running time.
Comparing Data Mining Classification for Online Fraud Victim Profile in Indonesia Sunardi, Sunardi; Fadlil, Abdul; Kusuma, Nur Makkie Perdana
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 7 No 1 (2023): February 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v7i1.18283

Abstract

Classification is one of the most often employed data mining techniques. It focuses on developing a classification model or function, also known as a classifier, and predicting the class of objects whose class label is unknown. Categorizing applications include pattern recognition, medical diagnosis, identifying weaknesses in organizational systems, and classifying changes in the financial markets. The objectives of this study are to develop a profile of a victim of online fraud and to contrast the approaches frequently used in data mining for classification based on Accuracy, Classification Error, Precision, and Recall. The survey was conducted using Google Forms, which is an online platform. Naive Bayes, Decision Tree, and Random Forest algorithms are popular models for classification in data mining. Based on the sociodemographics of Indonesia's online crime victims, these models are used to classify and predict. The result shows that Naïve Bayes and Decision Tree are slightly superior to the Random Forest Model. Naive Bayes and Decision Tree have an accuracy value of 77.3%, while Random Forest values 76.8%.
Machine Learning-Based Early Prediction of Stunting Risk: A Comparative Study Abdul Fadlil; Dikky Praseptian M; Muhammad Ma’ruf; Furizal
Methods in Science and Technology Studies Vol. 1 No. 1 (2025): June
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/msts.v1i1.2025.351

Abstract

Stunting remains a critical nutritional issue among children, affecting growth and long-term human resource quality. Despite national programs and global targets for stunting reduction, early prediction of stunted children using data-driven methods remains limited. This study aims to evaluate and compare the performance of four supervised machine learning algorithms—Naïve Bayes, Multilayer Perceptron (MLP), Decision Tree (J48), and Support Vector Machine (SVM)—in predicting stunting using a dataset of 97 child records from three villages in East Kalimantan, Indonesia. Data were tested in both unnormalized and normalized forms and split into training and testing sets at 70%–30%, 80%–20%, and 90%–10% ratios. The results indicate that MLP and Decision Tree consistently achieved 100% accuracy across all splits and preprocessing conditions, while Naïve Bayes and SVM showed lower and more variable accuracy in certain cases. These findings suggest that MLP and Decision Tree are the most reliable methods for stunting prediction in small datasets, providing a practical approach for early identification and intervention. The study highlights the importance of algorithm selection and preprocessing in achieving optimal predictive performance in health-related datasets.
Pengaturan On Off Ruangan Berdasarkan Pergerakan Manusia Haarcascade Classifier Arief Setyo Nugroho; Abdul Fadlil
Journal of Cyber Health and Computer Vol 1 No 1 (2023): Journal of Cyber Health and Computer (JOCHAC)
Publisher : SIBER PRESS Universitas SIBERMU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64163/jochac.v1i1.5

Abstract

Kebutuhan listrik di Indonesia saat ini semakin meningkat dari tahun ke tahun. Peningkatan kebutuhan listrik dapat disebabkan oleh kebiasaan membiarkan barang atau alat elektronik tetap menyala walaupun saat sedang tidak digunakan dan meninggalkanya dalam jangka waktu yang lama sehingga listrik yang terbuang menjadi tidak terkontrol. Teknologi saat ini banyak dikembangkan untuk mengurangi tingkat pemborosan listrik salah satunya adalah penggunaan IoT (Internet of Thing). Selain itu banyak penelitian yang menggunakan sensor dari Arduino. Pada penelitian ini image processing akan digunakan sebagai metode yang dapat mengatur on off ruangan secara otomatis. Pada penelitian ini Image processing digunakan untuk mendeteksi objek berupa pergerakan manusia didalam ruangan dengan metode Haarcascade Classifier dari Emgu CV. Pendeteksian objek dilakukan dengan mengenali tubuh bagian atas manusia didalam ruangan dengan intensitas cahaya yang berbeda. Setelah objek terdeteksi sistem akan memberikan perintah kepada relay untuk melakukan ON / OFF secara otomatis Keberhasialn sistem diukur dengan menguji tingkat akurasi deteksi objek dengan intensitas cahaya yang berbeda dan sistem dapat mengatur ON OFF secara otomatis. Pada pengujian sistem deteksi objek menggunakan intensitas cahaya berbeda mendapatkan nilai akurasi 87,5 % dan sistem dapat mengontrol listrik dengan baik.
Pengembangan Korpus Bahasa Minang pada Spell Error Corpus for Minang Language (SPEML) Dewi Soyusiawaty; Abdul Fadlil; Sunardi Sunardi
Jurnal Nasional Teknologi dan Sistem Informasi Vol 11 No 1 (2025): April 2025
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v11i01.2025.17-26

Abstract

Bahasa Minang merupakan bahasa daerah kelima dengan jumlah penutur terbanyak di Indonesia, namun minim sumber daya linguistik dan teknologi pemrosesan bahasa alami yang mendukung. Keterbatasan ini menyulitkan pengembangan aplikasi seperti mesin penerjemah dan pemeriksa ejaan otomatis. Saat ini hanya tersedia korpus kesalahan ejaan dalam Bahasa Indonesia dengan kesalahan hanya satu karakter pada setiap token. Korpus belum mencakup kesalahan penulisan kata serapan. Selain itu belum ada korpus khusus yang dikembangkan untuk kesalahan ejaan dalam bahasa daerah di Indonesia, termasuk Bahasa Minang. Penelitian ini bertujuan mengembangkan korpus kesalahan ejaan Bahasa Minang, yang dinamakan Spell Error Corpus for Minang Language (SPEML). SPEML mencakup kesalahan ejaan sampai dengan tiga karakter dan kesalahan penulisan kata serapan. Pengembangan SPEML melibatkan proses pengumpulan data korpus Bahasa Minang, data kata serapan yang sering digunakan, serta pembentukan korpus kesalahan ejaan. Kesalahan ejaan dibentuk dengan mengacak token secara sistematis pada satu karakter, dua karakter, hingga tiga karakter, disesuaikan dengan panjang token. Hasil penelitian ini berupa SPEML yang mampu mengklasifikasikan tujuh jenis kesalahan ejaan, yaitu: penyisipan karakter, penghapusan karakter, pindah posisi karakter, penggantian karakter, kesalahan tanda baca, kesalahan kata nyata, dan kesalahan penulisan kata serapan. Pengembangan SPEML menjadi langkah awal dalam mendukung pengembangan teknologi pemrosesan bahasa alami untuk bahasa daerah, khususnya Bahasa Minang.
Pengujian Kualitatif Aplikasi Informasi Gempa Bumi dalam Bentuk Suara untuk Tunanetra Joko Supriyanto; Abdul Fadlil; Sunardi Sunardi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 3 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i3.1482

Abstract

Indonesia memiliki potensi gempa bumi yang cukup besar karena dilalui tiga lempeng aktif, yaitu lempeng Indo-Australia, Eurasia, dan Pasifik. Permasalahannya penyandang tunanetra masih kesulitan mendapatkan informasi gempa bumi yang masih berupa teks sehingga perlu dibuat aplikasi untuk mengubah teks ke suara. Tujuan pengembangan aplikasi ini diharapkan penyandang tunanetra mudah mendapatkan informasi gempa bumi melalui suara. Metodologi pengembangan aplikasi untuk mengubah informasi gempa bumi dari teks ke suara menggunakan model Fountain dan aplikasi dikembangkan menggunakan dua cara. Cara pertama dengan melakukan perekaman suara dalam bentuk wav kemudian digabunggabungkan atau disebut dengan Text to Speech Concatenation Wave Recording. Cara kedua, menggunakan Speech Aplication Programing Interface yang merupakan aplikasi teks ke suara bawaanWindows. Selanjutnya kedua aplikasi di uji untuk melihat kejelasan suara yang dihasilkan. Hasil pengujian terhadap 15 siswa Madrasah Tsanawiyah Yayasan Kesejahteraan Tuna Netra Islam menggunakan metode kualitatif didapatkan kejelasan suara yang dihasilkan dengan Concatenation Wave Recording mencapai 91,11% atau ada 13 siswa mendengar dengan jelas, sedangkan menggunakan Speech Aplication Programing Interface mencapai 95,56% atau 14 siswa mendengar dengan jelas.
Failure Mode and Effect Analysis (FMEA) for Periodic Maintenance Tasks of Medium Voltage Switchgear 20 kV Prabowo Soetadji; Tole Sutikno; Abdul Fadlil
International Journal of Marine Engineering Innovation and Research Vol. 9 No. 4 (2024)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i4.4824

Abstract

Medium voltage (MV) switchgear at 20 kV, known as Panel Hubung Bagi (PHB) 20 kV in Indonesia, is a critical component of the electrical power distribution system, containing fuses, switches, and power conductors. A failure in this switchgear could lead to system-wide malfunctions, with potential catastrophic consequences such as fires or explosions. To prevent such events, it is essential to perform regular and well-planned maintenance. This research aims to optimize the maintenance process for MV switchgear, focusing on reducing maintenance tasks and frequency without compromising system reliability. The study employs the Failure Mode and Effect Analysis (FMEA) methodology, refined to reduce unnecessary maintenance actions. A Systematic Literature Review (SLR) was also conducted to analyze previous research on FMEA applications in 20 kV MV switchgear maintenance. Traditionally, maintenance was guided by manufacturers' recommendations, experience, and technical judgment, resulting in 3554 man-hours (MH) of labor every two years. However, by applying the refined FMEA process, maintenance requirements were significantly reduced to just 212 MH over the same period. This reduction represents a cost saving of 1678%, while still ensuring that the reliability of the MV switchgear at 20 kV is maintained at a high level. These findings underscore the importance of adopting systematic maintenance approaches to improve operational efficiency and reduce costs in power distribution systems.
Co-Authors Aang Anwarudin Abdul Azis Abdul Azis Achmad Nugrahantoro Aditiya Dwi Candra Adnan, Adnan Ahmad Naufal Ahmat Taufik Aji Pamungkas Akrom, Akrom Alfiansyah Imanda Putra Alfiansyah Imanda Putra Alfian Amiruddin, Nanda Fahmi Andi Zulherry Andrianto, Fiki Anggit Pamungkas Annisa, Putri Anton Yudhana Anton Yudhana Anwar Siswanto ANWAR, FAHMI Anwarudin, Aang Aqid Fahri Hafin ardi, Ardi Pujiyanta Arief Setyo Nugroho Arief Setyo Nugroho Arif Budi Setianto Arif Budiman Arif Budiman Arif Wirawan Muhammad Asep Ririh Riswaya Asno Azzawagama Firdaus Atmojo, Dimas Murtia Aulia, Aulia Az-Zahra, Rifqi Rahmatika Aznar Abdillah, Muhamad Bagus Primantoro Bambang Priambodo Bashor Fauzan Muthohirin Basir, Azhar Candra, Aditiya Dwi Darajat, Muhammad Nashiruddin Davito Rasendriya Rizqullah Putra Dedy Sumarhadi Dewi Soyusiawaty Dewi Soyusiawaty Dheni Apriantsani Budiman Dhimas Dwiki Sanjaya Dian Novianti Dian Permata Sari Dianda Rifaldi Dikky Praseptian M Dimas Murtia Atmojo Doddy Teguh Yuwono Dwi Susanto Dwi Susanto Edy Fathurrozaq Egi Dio Bagus Sudewo Eko Budi Cahyono Eko Prianto Eko Prianto, Eko Elvina, Ade Endang Darmawan Endang Darmawan Ermin Al Munawar Ermin Ermin Esthi Dyah Rikhiana Fahmi Anwar Fahmi Auliya Tsani Fahmi Auliya Tsani Fahmi Fachri Fanani, Galih Faqihuddin Al-anshori Faqihuddin Al-Anshori, Faqihuddin Fathurrahman, Haris Imam Karim Fauzi Hermawan Fiki Andrianto Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Yasin Fitri Muwardi Furizal Gusrin, Muhaimin Gustina, Sapriani Hafizh, Muhammad Nasir Haksono, Muhammad Rizky Hanif, Abdullah Hanif, Kharis Hudaiby Harman, Rika Helmiyah, Siti Hendril Satrian Purnama Herdiyanto, Erik Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah, Herman Herman, - Ibnu Rifajar Ibrahim Mohd Alsofyani Ihyak Ulumuddin Ikhsan hidayat Ilhamsyah Muhammad Nurdin Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imroatul Khuluqi Izzah Indah Purnama Sari Irjayana, Rizky Caesar Irwansyah Irwansyah Itsnaini Irvina Khoirunnisa Izzan Julda D.E Purwadi Putra januari audrey Jayawarsa, A.A. Ketut Jody Yuantoro Jogo Samodro, Maulana Muhamammad Joko Supriyanto Joko Supriyanto Kamilah, Farhah Kartika Firdausy Khairul Nisa Panilestari Khoirunnisa, Itsnaini Irvina Kusuma, Nur Makkie Perdana Laura Sari Lestari, Yuniarti Lin, Yu-Hao Luh Putu Ratna Sundari M. Nasir Hafizh Maftukhah, Ainin Maulana Muhammad Jogo Samudro Mhd. Basri Miftahul Rozak Mini, Ros Mohd Hatta Jopri Muammar Mudinillah, Adam Mufaddal Al Baqir Muh. Fadli Hasa Muhaimin Gusrin Muhajir Yunus Muhamad Daffa Al Fitra Muhamad Rosidin Muhammad Arief Sutisna Muhammad Faqih Dzulqarnain Muhammad Faqih Dzulqarnain, Muhammad Faqih Muhammad Johan Wahyudi Muhammad Kunta Biddinika Muhammad Ma’ruf Muhammad Nasir Hafizh Muhammad Noko Darpito Muhammad Nuh Muhammad Nur Faiz Muhammad Nurdin, Ilhamsyah Muhammad Rizki Setyawan Mukti, Sindhu Hari Munawaroh Munawaroh Muntiari, Novita Ranti Murinto Murinto - Murinto Murinto Murni Musliman, Anwar Siswanto Mustofa Mustofa Muthorihin, Bashor Fauzan Mutiara Titani Mutiara Titani Muwardi, Fitri Nasution, Dewi Sahara Nasution, Musri Iskandar Nilam Tri Astuti Nopi Hidayat Nurwijayanti Nuryasin, Ilyas Pahlevi, Ryan Fitrian Ponco Sukaswanto Poni Wijayanti Prabowo Soetadji Prabowo, Basit Adhi Prayogi, Denis Putra, Fajar R. B Putri Annisa Putri Annisa Putri Purnamasari Ramadhani, Muhammad Ramdhani, Rezki Razak, Farhan Radhiansyah Rezki Rezki Rifqi Rahmatika Az-Zahra Rizky Andhika Surya Rochmadi, Tri Rohmat Ibrahim Roni Anggara Putra Rusydi Umar Rusydi Umar S Sunardi S, Sunardi Saad, Saleh Khalifah Safiq Rosad Saifudin Saifudin Saifullah, Shoffan Saleh khalifa saad Santi Purwaningrum Sarmini Sarmini Sarmini Sarmini Septa, Frandika Setyaputri, Khairina Eka Setyaputri, Khairina Eka Setyaputri, Khairina Eka Shinta Nur Desmia Sari Sri Winiarti Sri Winiarti Subandi, Rio Sugiyarto Surono Sugiyarto Surono Sukaswanto, Ponco Sukma Aji Sulis Triyanto Sunardi Sunardi Sunardi Sunardi Sunardi, Sunardi Surya Yeki Surya Yeki Syamsiar, Syamsiar Syarifudin, Arma Tole Sutikno Tresna Yudha Prawira Tri Ferga Prasetyo Tri Ferga Prasetyo Tri Rochmadi Tristanti, Novi Tuswanto Tuswanto Virdiana Sriviana Fatmawaty Wahju Tjahjo Saputro Wahyusari, Retno Winoto, Sakti Wulandari, Cisi Fitri Yana Mulyana Yana Mulyana Yanuar Wicaksono Yasidah Nur Istiqomah Yeki, Surya Yohanni Syahra Yossi Octavina Yulianto, Dinan Yulianto, Muhammad Anas Yuminah yuminah yuminah, Yuminah Yuminah, Yuminah Yuwono Fitri Widodo Zein, Wahid Alfaridsi Achmad Zulhijayanto -