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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 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 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 J-SAKTI (Jurnal Sains Komputer dan Informatika) 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 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, Controls (AVITEC) Journal of Robotics and Control (JRC) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Cyber Security dan Forensik Digital (CSFD) 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) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) 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 Jurnal Pengabdian Informatika (JUPITA) 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 Signal and Image Processing Letters Scientific Journal of Engineering Research SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Edumaspul: Jurnal Pendidikan Methods in Science and Technology Studies JOCHAC
Abdul Fadlil
Ahmad Dahlan University
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Human Skin Wrinkle Detection Using The Convolutional Neural Network Method Ibrahim, Rohmat; Fadlil, Abdul; Herman, Herman
Jurnal Accounting Information System (AIMS) Vol. 9 No. 1 (2026)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v9i1.1893

Abstract

Wrinkles are a visual indicator of skin aging and are widely used in dermatological and cosmetic assessments. However, automatic wrinkle detection from facial images remains challenging due to illumination variation, image noise, and subtle skin texture characteristics. This study applies a Convolutional Neural Network (CNN) for human skin wrinkle detection using image preprocessing techniques, including intensity normalization, Contrast Limited Adaptive Histogram Equalization (CLAHE), denoising, and sharpening. Experiments were conducted on 600 facial skin images obtained from publicly available sources and manually categorized into wrinkled and non-wrinkled classes. To ensure result reliability, the dataset was divided into training, validation, and testing sets using a 70:20:10 ratio. The experimental results show that the proposed approach achieved an accuracy of 0.9136, demonstrating consistent performance across validation and test sets.
Efficient Outlier Detection in Energy Analytics Using Isolation Forest and One Class SVM: A Comparative Study for Smart Grid Applications Budiman, Dheni Apriantsani; Sutikno, Tole; Fadlil, Abdul
Jurnal Accounting Information System (AIMS) Vol. 9 No. 1 (2026)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v9i1.1913

Abstract

Outlier detection is a critical task in informatics, particularly for analyzing large, complex datasets such as electrical energy consumption records. Identifying anomalies enables the recognition of abnormal usage patterns and potential non-technical losses, which are essential for ensuring reliability and efficiency in innovative grid systems. However, conventional supervised learning approaches are often unsuitable due to the unlabeled and imbalanced nature of real-world consumption data. To address the challenge of validating unsupervised models without ground truth, this study utilizes a controlled synthetic dataset with precise anomaly injection. This approach allows for a rigorous comparative evaluation of two widely adopted algorithms, Isolation Forest and One-Class Support Vector Machine (OC-SVM). The analysis examines detection accuracy, F1-score, and computational efficiency under identical experimental conditions. Results demonstrate that Isolation Forest consistently achieves superior performance, attaining a Detection Accuracy of 0.9948 and an F1-Score of 0.9478, significantly outperforming OC-SVM, which yielded an accuracy of 0.9521 and an F1-Score of only 0.5108. Furthermore, Isolation Forest proved to be exceptionally efficient, requiring only 0.9207 seconds for computation approximately 21 times faster than OC-SVM (19.9460 seconds). These advantages highlight its scalability and suitability for large-scale, near-real-time monitoring applications. Overall, the findings provide empirical evidence of Isolation Forest's effectiveness and offer practical guidance on algorithm selection for intelligent grid analytics
PENGEMBANGAN APLIKASI MOBILE MAHATI MENGGUNAKAN GENERATIF AI UNTUK PASIEN HIPERTENSI Yuantoro, Jody; Nuryasin, Ilyas; Muthohirin, Bashor Fauzan; Titani, Mutiara; Akrom, Akrom; Fadlil, Abdul
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.7009

Abstract

Penelitian ini mengembangkan sebuah aplikasi seluler yang memanfaatkan AI Generatif untuk menyederhanakan pencatatan dan evaluasi tekanan darah bagi pasien hipertensi. Tujuannya adalah untuk menciptakan alat yang mudah diakses dan akurat untuk memantau tekanan darah. Aplikasi ini dirancang untuk menangkap pembacaan tekanan darah dari gambar sfigmomanometer aneroid digital yang diambil dengan kamera ponsel pintar. AI Generatif dengan model gemini-1.5-flash, yang diimplementasikan dengan teknik prompting spesifik untuk mengekstrak informasi sistolik, diastolik, dan denyut nadi dari gambar sfigmomanometer aneroid digital secara otomatis. Hasil dari penelitian ini adalah aplikasi seluler fungsional yang menggabungkan fitur-fitur seperti entri data otomatis, visualisasi data melalui time-series dan scatter plot, klasifikasi tekanan darah berdasarkan pedoman ACC/AHA 2017, pengingat pengobatan, dan sumber daya edukasi tentang manajemen hipertensi dan hasil pengujian fitur tekanan darah dengan metode blackbox dan System Usability Scale (SUS) menunjukkan aplikasi berfungsi sesuai tujuan dan memenuhi kriteria fungsional.
PENGUJIAN APLIKASI MENGGUNAKAN WHITE BOX DENGAN METODE UNIT TESTING. STUDI KASUS: MAHATI Haksono, Muhammad Rizky; Nuryasin, Ilyas; Muthorihin, Bashor Fauzan; Titani, Mutiara; Akrom, Akrom; Fadlil, Abdul
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.7012

Abstract

Perkembangan pesat industri perangkat lunak secara signifikan dipengaruhi oleh kemajuan teknologi informasi dan digital. Salah satu aspek penting dalam perkembangan ini adalah peningkatan efisiensi pengujian perangkat lunak. Pengujian perangkat lunak saat ini tidak hanya berfokus pada aspek fungsionalitas, tetapi juga mencakup kinerja, keamanan, dan kompatibilitas. Penelitian ini berfokus pada peningkatan efisiensi pengujian perangkat lunak dengan menerapkan metode White-Box Testing. Penerapannya diuji pada aplikasi MAHATI melalui unit testing dengan teknik Branch Coverage dan Statement Coverage untuk memastikan cakupan fungsionalitas dan logika program secara komprehensif. Penelitian ini menekankan desain kode yang terstruktur dan mudah diuji, sehingga proses pengujian menjadi lebih efisien dan efektif dalam mendeteksi kesalahan. Hasil penelitian menunjukkan bahwa desain kode yang baik secara signifikan berkontribusi terhadap kualitas dan keandalan perangkat lunak melalui pengujian yang optimal dan efisien. Keberhasilan seluruh 12 suite pengujian dan 65 tes individu membuktikan bahwa setiap fungsi aplikasi bekerja sesuai dengan harapan, sehingga menunjukkan efektivitas metode pengujian yang diterapkan. Hasil ini menguatkan keyakinan bahwa White-Box Testing merupakan metode yang efektif dalam meningkatkan kualitas perangkat lunak dan dapat diaplikasikan untuk meningkatkan kualitas aplikasi lain.
USER ACCEPTANCE TESTING MELALUI EVALUASI BLACKBOX DAN ISO 9241-11 TERHADAP APLIKASI KESEHATAN MOBILE: MAHATI Naufal, Ahmad; Nuryasin, Ilyas; Muthohirin, Bashor Fauzan; Titani, Mutiara; Akrom, Akrom; Fadlil, Abdul
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.7377

Abstract

Penelitian ini bertujuan untuk mengevaluasi kualitas dan tingkat penerimaan pengguna terhadap aplikasi kesehatan mobile MAHATI, yang dirancang untuk mendukung pengelolaan hipertensi melalui fitur pemantauan tekanan darah, pengingat obat, dan edukasi kesehatan. Evaluasi dilakukan dengan metode Blackbox Testing menggunakan pendekatan State Transition Testing untuk memverifikasi fungsionalitas aplikasi, serta User Acceptance Testing (UAT) berdasarkan standar ISO 9241-11 untuk menilai efektivitas, efisiensi, dan kepuasan pengguna. Hasil pengujian Blackbox Testing menunjukkan 91% fungsi aplikasi berjalan dengan baik, dengan 73 dari 80 test case dinyatakan berhasil. UAT yang melibatkan 62 responden menghasilkan penilaian sangat baik, dengan efektivitas sebesar 84,90%, efisiensi 88,12%, dan kepuasan pengguna 85,80%. Meskipun aplikasi secara umum telah memenuhi kebutuhan fungsional dan aspek usability, perbaikan tetap diperlukan untuk meningkatkan pengalaman pengguna dan menangani skenario pengujian yang gagal. Penelitian ini memberikan kontribusi penting dalam meningkatkan kualitas aplikasi kesehatan digital melalui pendekatan evaluasi yang komprehensif.
User’s Satisfaction Analysis of the Academic Information Systems Quality using the Modified Webqual 4.0 Method and Importance-Performance Analysis Anwarudin, Aang; Fadlil, Abdul; Yudhana, Anton
ILKOM Jurnal Ilmiah Vol 15, No 1 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i1.1531.132-143

Abstract

Currently, the academic information system (AIS) at universities processes academic data to facilitate student’s activities. AIS was developed to provide maximum service to students. To optimize the use of information technology and to ensure the appropriateness of the provided AIS services, it is necessary to examine the level of service provided to improve quality. This study aimed to analyze the level of AIS service quality based on user perceptions and expectations. Dissemination of online questionnaires using Google Forms with a total of 100 students as respondents. This study used the modified Webqual 4.0 method as an indicator in the preparation of the questionnaire and the importance-performance analysis (IPA) method as an analysis method. The results of data were classified based on the percentage of user’s satisfaction with AIS services with three classifications, namely good, moderate, and poor. The results of the IPA analysis showed that the AIS had good quality. The results obtained from the analysis of the quality of the AIS system had a conformity level of 90.90%, where respondents perceived close to satisfaction with AIS services. The gap level was -0.3281 which was the result of the perception/performance of the AIS that was not in line with the expectations of the user. The results of this study contribute to Universitas Muhammadiyah Gombong as reference material and evaluation of AIS system services in the future.
ANALISIS EMPIRIS PERBANDINGAN KINERJA METODE HASHING PROGRESSIVE OVERFLOW DAN LINEAR QUOTIENT DALAM STUDI PEMBUATAN APLIKASI DEKSTOP ADMINISTRASI KEPEGAWAIAN Prianto, Eko; Yudhana, Anton; Fadlil, Abdul
ILKOM Jurnal Ilmiah Vol 8, No 3 (2016)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v8i3.66.174-181

Abstract

Administrasi merupakan kegiatan sehari-hari yaitu berupa kegiatan mencatat, mengumpulkan dan menyimpan suatu kegiatan atau hasil kegiatan sehingga membutuhkan memori guna menyimpan itu semua. Untuk memudahkan proses pencarian data yang telah disimpan dengan cepat, maka diperlukan suatu metode, yaitu menggunakan metode hashing. Penerapan manajemen memory bertujuan, agar mencegah adanya perulangan data yang sama, manajemen basis data yang baik, manajemen memori dan memberikan kemudahan untuk mengakses data dengan cepat walaupun data yang ada sangat banyak, dengan memasukkan kata kunci yang telah ditentukan dapat mencari data dan menampilkan dengan akurasi waktu yang dibutuhkan sebentar. Dengan metode progressive overflow dan linear quotient akan dianalisis nilai rata-rata dari setiap metode, nilai yang paling kecil dari metode tersebut adalah nilai yang terbaik akan digunakan sebagai pedoman seberapa besar nilai proses hashing dalam sebuat database suatu instansi dan sebagai studi kasus penentuan penyediaan memori yang dibutuhkan.
Digital Cockpit Multiplatform Modular dari Human Digital Twin Zein, Herman; Zein, Wahid Alfaridsi Achmad; Fadlil, Abdul
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 2: April 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.132

Abstract

Teknologi Digital Twin (DT) telah diadaptasi menjadi Human Digital Twin (HDT) untuk pemantauan kesehatan secara real-time. Namun, sistem pemantauan kesehatan berbasis HDT saat ini terkendala masalah skalabilitas, fleksibilitas antarmuka, dan ketergantungan pada koneksi internet. Arsitektur monolitik konvensional menghambat integrasi fitur dan adaptasi platform, sementara kebutuhan akan layanan berkelanjutan seringkali tidak terpenuhi. Untuk mengatasi kesenjangan penelitian ini, studi ini mengusulkan solusi dengan merancang dan mengimplementasikan Digital Cockpit (DC) Multiplatform Modular untuk HDT kardiovaskular. Penelitian ini menerapkan arsitektur modular untuk memisahkan lapisan antarmuka depan dan antarmuka belakang. Struktur ini mempermudah integrasi layanan masa depan seperti AI dan LLM. Antarmuka depan diimplementasikan sebagai Progressive Web Application (PWA) untuk memastikan kompatibilitas lintas platform dan memberikan kemampuan offline penting menggunakan Service Worker untuk caching dan pengambilan data. Kami memvalidasi sistem melalui Blackbox Testing dan Compatibility Testing di lingkungan Laptop, iOS, dan Android. Pengujian Blackbox menunjukkan keberhasilan 100% pada seluruh fungsi inti, termasuk sinkronisasi data real-time dan caching offline. Penggunaan basis kode tunggal pada PWA secara signifikan mengurangi kompleksitas pengembangan antar platform dengan tetap mempertahankan skor kompatibilitas sebesar 89,58% di berbagai perangkat. Sistem DC berbasis PWA ini memberikan solusi yang terukur dengan menggabungkan fleksibilitas web dan kinerja aplikasi native bagi sistem pemantauan kesehatan digital.   Abstract Digital Twin (DT) technology has been adapted into Human Digital Twin (HDT) for real-time health monitoring. However, current HDT-based health monitoring systems are hampered by issues of scalability, interface flexibility, and dependence on internet connection. Conventional monolithic architecture hinders feature integration and platform adaptation, while the need for continuous service is often unmet. To address this research gap, this study proposes a solution by designing and implementing a Modular Multiplatform Digital Cockpit (DC) for cardiovascular HDT. This study applies a modular architecture to separate the front-end and back-end layers. This structure facilitates the integration of future services such as AI and LLM. The front-end is implemented as a Progressive Web Application (PWA) to ensure cross-platform compatibility and provides essential offline capabilities using Service Workers for data caching and retrieval. The system was validated through Blackbox Testing and Compatibility Testing on Laptop, iOS, and Android environments. Blackbox testing demonstrated 100% success across all core functions, including real-time data synchronization and offline caching. The use of a single codebase in PWAs significantly reduces cross-platform development complexity while maintaining a compatibility score of 89.58% across devices. This PWA-based DC system provides a scalable solution for digital health monitoring systems, combining the flexibility of the web with the performance of native apps.
Non-linear Kernel Optimisation of Support Vector Machine Algorithm for Online Marketplace Sentiment Analysis Abdul Fadlil; Imam Riadi; Fiki Andrianto
JUITA: Jurnal Informatika JUITA Vol. 12 No. 1, May 2024
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v12i1.19798

Abstract

Twitter is a social media platform that is very important in the digital world. Fast communication and interaction make Twitter a vital information center in sentiment analysis. The purpose of this research is to classify public opinion about the presence of marketplaces in Indonesia, both positive and negative sentiments, using a Non-linear SVM algorithm based on 1276 tweets. This research involves the stages of data pre-processing, labeling, feature extraction using TF-IDF, and data division into three scenarios: 80% training data and 20% test data, 50% training data and 50% test data scenario, and 20% training data and 80% test data scenario. The last process, GridSearchCV, combines cross-validation and non-linear SVM parameters for model evaluation using a confusion matrix. The best SVM model resulting from the scenario was 80% training and 20% test data, with hyperparameters Gamma = 100 and C = 0.01, achieving 89% accuracy. When tested on never-before-seen data, the accuracy increased to 90%, with an f1-score of 91%, precision of 88%, and recall of 95% on negative sentiments. In conclusion, evaluating the performance of non-linear SVM kernels with a combination of hyperparameter values can improve accuracy, especially on public response information about online marketplaces and public sentiment.
Perancangan Electronic Nose (E-Nose) untuk Analisis dan Klasifikasi Aroma Daging Menggunakan PCA dan LDA Rizki Setyawan, Muhammad; Fadlil, Abdul; Yudhana , Anton
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2254

Abstract

Meat is a vital food commodity prone to adulteration through species mixing or chemical contamination such as formalin and borax. This study aimed to design and test an Electronic Nose (E-Nose) system for aroma pattern analysis and meat classification using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). Samples included pure meat (beef, chicken, pork), mixed meat, and chemically contaminated meat. Aroma data were captured using an array of gas sensors sensitive to Volatile Organic Compounds (VOCs) and standardized prior to analysis. PCA reduced eight sensor features into three principal components explaining a total variance of 79.63%. PC1, PC2, and PC3 accounted for 46.10%, 20.58%, and 12.96% of variance, respectively, showing clustering patterns among samples with minor overlap. LDA provided clearer class separation with three discriminant components LD1, LD2, and LD3 explaining 77.13%, 16.63%, and 4.59% of between-class variance, totaling 98.34%. LD1 separated pure, mixed, and contaminated meat, LD2 distinguished variations due to contaminant type and species, and LD3 refined separation of similar classes. Classification evaluation achieved an overall accuracy of 82%. Most classes were well classified, while classes 1 and 10 experienced misclassification due to similar aroma patterns. The findings confirm that E-Nose combined with PCA and LDA is a rapid, non-destructive, and efficient method for detecting meat authenticity and adulteration, showing strong potential for food quality monitoring in the field
Co-Authors Aang Anwarudin Abdul Azis Achmad Nugrahantoro Aditiya Dwi Candra Ahmad Naufal, Ahmad Ahmat Taufik Aji Pamungkas Akrom, Akrom Alfiansyah Imanda Putra Alfiansyah Imanda Putra Alfian Amiruddin, Nanda Fahmi Andrianto, Fiki Anggit Pamungkas Annisa, Putri Anton Yudhana Anwar Siswanto ANWAR, FAHMI Anwarudin, Aang ardi, Ardi Pujiyanta Arief Setyo Nugroho Arief Setyo Nugroho Arif Budi Setianto Arif Budiman Arif Budiman Arif Wirawan Muhammad Aris Rakhmadi Asep Ririh Riswaya Asno Azzawagama Firdaus Atmojo, Dimas Murtia Aulia, Aulia Az-Zahra, Rifqi Rahmatika Aznar Abdillah, Muhamad Bagus Primantoro Bashor Fauzan Muthohirin Basir, Azhar Budiman, Dheni Apriantsani Candra, Aditiya Dwi Darajat, Muhammad Nashiruddin Davito Rasendriya Rizqullah Putra Dewi Soyusiawaty Dewi Soyusiawaty Dhimas Dwiki Sanjaya 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 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 Yuliansyah, Herman Herman, - Ibnu Rifajar Ibrahim Mohd Alsofyani Ibrahim, Rohmat Ihyak Ulumuddin Ikhsan hidayat Ilhamsyah Muhammad Nurdin Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Irjayana, Rizky Caesar Irwansyah Irwansyah Izzan Julda D.E Purwadi Putra januari audrey Jayawarsa, A.A. Ketut Jogo Samodro, Maulana Muhamammad Joko Supriyanto Joko Supriyanto Kamilah, Farhah Kartika Firdausy 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 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 Faqih Dzulqarnain, Muhammad Faqih Muhammad Johan Wahyudi Muhammad Kunta Biddinika Muhammad Ma’ruf Muhammad Nasir Hafizh Muhammad Nur Faiz Muhammad Nurdin, Ilhamsyah Muhammad Rizki Setyawan Mukti, Sindhu Hari Muntiari, Novita Ranti Murinto Murinto - Murinto Murinto Murni Murni Musliman, Anwar Siswanto Mustofa Mustofa Muthorihin, Bashor Fauzan Mutiara Titani Muwardi, Fitri Nasution, Dewi Sahara Nasution, Musri Iskandar Nilam Tri Astuti Nurwijayanti Pahlevi, Ryan Fitrian Ponco Sukaswanto Poni Wijayanti Prabowo Soetadji Prabowo, Basit Adhi Prayogi, Denis Priambodo, Bambang Putra, Fajar R. B Putri Annisa Putri Annisa Putri Purnamasari Putri Silmina, Esi Ramadhani, Muhammad Ramdhani, Rezki Razak, Farhan Radhiansyah Rezki Rezki Rifqi Rahmatika Az-Zahra Rizky Andhika Surya Rochmadi, Tri 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 Septa, Frandika Setyaputri, Khairina Eka Setyaputri, Khairina Eka Setyaputri, Khairina Eka Shinta Nur Desmia Sari Siswahyudianto Siti Helmiyah Sri Winiarti Subandi, Rio Sukaswanto, Ponco Sukma Aji Sulis Triyanto Sunardi Sunardi Sunardi Sunardi, Sunardi Surya Yeki Surya Yeki Syamsiar, Syamsiar Syarifudin, Arma Tole Sutikno Tresna Yudha Prawira Tri Ferga Prasetyo Tristanti, Novi Tuswanto Tuswanto Virdiana Sriviana Fatmawaty Wahju Tjahjo Saputro Wahyusari, Retno Winoto, Sakti Wintolo, Hero Wulandari, Cisi Fitri Yana Mulyana Yana Mulyana Yasidah Nur Istiqomah Yeki, Surya Yohanni Syahra Yossi Octavina Yuantoro, Jody Yudhana , Anton Yulianto, Dinan Yulianto, Muhammad Anas Yuminah yuminah yuminah, Yuminah Yuminah, Yuminah Yuwono Fitri Widodo Zein, Herman Zein, Wahid Alfaridsi Achmad Zulhijayanto -