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All Journal International Journal of Electrical and Computer Engineering ComEngApp : Computer Engineering and Applications Journal JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro CommIT (Communication & Information Technology) Jurnal Ilmiah Kursor Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) ELINVO (Electronics, Informatics, and Vocational Education) Annual Research Seminar INFORMAL: Informatics Journal Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi Proceeding of the Electrical Engineering Computer Science and Informatics Edu Komputika Journal Format : Jurnal Imiah Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA JIEET (Journal of Information Engineering and Educational Technology) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Insect (Informatics and Security) : Jurnal Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI Abdimas Dewantara PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Digital Zone: Jurnal Teknologi Informasi dan Komunikasi IJID (International Journal on Informatics for Development) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Teknologi Terpadu EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Mantik NUKHBATUL 'ULUM : Jurnal Bidang Kajian Islam Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Buletin Ilmiah Sarjana Teknik Elektro Indonesian Journal of Business Intelligence (IJUBI) bit-Tech Mobile and Forensics Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Jurnal Pengabdian Masyarakat Bumi Raflesia Cyber Security dan Forensik Digital (CSFD) Jurnal Abdi Insani Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems Journal of Innovation Information Technology and Application (JINITA) Journal of Education Informatic Technology and Science Jurnal Bumigora Information Technology (BITe) Jurnal Teknologi Informatika dan Komputer SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Phasti: Jurnal Teknik Informatika Politeknik Hasnur Jurnal Pengabdian Masyarakat Indonesia Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat Patikala Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Puan Indonesia Jurnal Informatika Teknologi dan Sains (Jinteks) Techno Wahana Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Engineering Science Letter Journal of Novel Engineering Science and Technology Jurnal Informatika: Jurnal Pengembangan IT Jurnal Software Engineering and Computational Intelligence Mohuyula : Jurnal Pengabdian Kepada Masyarakat Scientific Journal of Informatics semanTIK Jurnal Informatika Medis (J-INFORMED) Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JOCHAC Jurnal Repositor Proceeding of Informatics Collaborations and Dessimenation Meeting (Infocoding)
Imam Riadi
Department Of Information Systems - Universitas Ahmad Dahlan
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Comparative Analysis of Keypoint Detection Performance in SIFT Implementations on Small-Scale Image Datasets Arif Rahman; Suprihatin; Imam Riadi; Tawar; Furizal
Journal of Innovation Information Technology and Application (JINITA) Vol 6 No 2 (2024): JINITA, December 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v6i2.2399

Abstract

Scale-invariant feature transform (SIFT) is widely used as an image local feature extraction method because of its invariance to rotation, scale, and illumination change. SIFT has been implemented in different program libraries. However, studies that analyze the performance of SIFT implementations have not been conducted. This study examines the keypoint extraction of three well-known SIFT libraries, i.e., David Lowe's implementation, OpenSIFT, and vlSIFT in vlfeat. Performance analysis was conducted on multiclass small-scale image datasets to capture the sensitivity of keypoint detection. Although libraries are based on the same algorithm, their performance differs slightly. Regarding execution time and the average number of keypoints detected in each image, vlSIFT outperforms David Lowe’s library and OpenSIFT.
The Effect of Light Intensity, Camera Pixel Quality, Camera Distance, and Object Altitude on Detection Accuracy in a Real-Time Drone Surveillance System Using YOLOv5 Astika Ayuningtyas; Imam Riadi; Anton Yudhana
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 2 (2025): JINITA, December 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i2.2843

Abstract

This research evaluates the performance of the drone detection system based on YOLOv5 in a variety of environmental conditions. The four main variables under test were drone height, camera type, light intensity, and camera-to-object distance. Thirty-six different scenarios were used with three different camera types (1080p, 2K, and Canon 600D). The height of the drones varied from 1 to 14 meters, and the variations in illumination ranged from 0 to 46 lux. Results showed consistent YOLOv5 performance with an average accuracy of 60%, precision of 62%, recall of 58%, F1-score of 60%, and IoU of 75%. ANOVA revealed that light intensity, camera distance, and drone height all had a significant impact on detection accuracy (p < 0.05), but camera type was not statistically significant. The best results were obtained under the following conditions: high light levels (>40 lux), camera distances <10 m, and drone altitudes between 6 and 9 m. These findings demonstrate the importance of environmental setup in improving the performance of object detection systems based on deep learning. This research helps design a more reliable and adaptable drone detection system for real-world applications. This work provides practical guidelines for implementing deep learning-based aerial surveillance and highlights optimal operational parameters for YOLOv5 systems.
Penetration Testing with OWASP Mobile for Android Security Optimization Deco Aprilliansyah; Imam Riadi; Sunardi
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.v1i1.3

Abstract

Security and privacy are very important on android devices to prevent crimes such as the theft of data and confidential information for users. There are many attack methods that can be carried out by irresponsible parties, one of which is penetration testing. The need to improve the security of android devices from cyber crimes that can occur at any time so that the security and information belonging to users are more secure. Based on this, this study offers how attackers perform penetration testing on targets using android devices using the OWASP Mobile framework based on the steps in the Security Testing Guide (OWASP MSTG) manual. The penetration testing activity is carried out in five steps. Namely, injection of backdoors on the application, finding vulnerabilities, scanning, exploiting and making reports. The results of this study obtained some information on application IOCs and other information in the form of contact data, SMS data, and audio records belonging to the attacked device. Based on this, this research can be used by security parties to patch loopholes in their applications and systems.
Klasifikasi Tingkat Serangan pada Log Jaringan Siber dengan Komparasi Naive Bayes dan K-Nearest Neighbor Apriliani, Evinda; Winiarti, Sri; Riadi, Imam; Yuliansyah, Herman
Building of Informatics, Technology and Science (BITS) Vol 7 No 3 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i3.8765

Abstract

The increasing threat of cybersecurity poses a significant impact on both organizations and individuals, necessitating a system capable of accurately detecting and classifying attack levels to support prioritization of responses. This study aims to analyze and compare the performance of two machine learning algorithms, Naive Bayes and K-Nearest Neighbor (KNN), in classifying cyberattack levels, and to evaluate the effect of hyperparameter tuning on improving model accuracy. The research methods included utilizing the cybersecurity_attacks dataset, data preprocessing, model training at three data split ratios (70:30, 80:20, and 90:10), and parameter optimization using Randomized Search and Grid Search. Performance evaluation was based on accuracy, precision, recall, and F1-score values. The results showed that KNN performed best, with a peak accuracy of 0.96 at the 80:20 ratio after tuning, increased from an accuracy of 0.947 before tuning, with precision, recall, and F1-score values ​​ranging from 0.95 to 0.96. Meanwhile, Naive Bayes only achieved a peak accuracy of 0.8485 at the same ratio. Although the improvement after hyperparameter tuning was not significant, this process still resulted in a more stable and consistent model. Future research is recommended to explore ensemble methods and test them on other datasets to produce more adaptive cyberattack classification models.
Mobile Forensic of Vaccine Hoaxes on Signal Messenger using DFRWS Framework Imam Riadi; Herman Herman; Nur Hamida Siregar
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.v21i3.1620

Abstract

The COVID-19 pandemic is one of the factors that has increased the use of social media. One of the negative impacts of using social media is the occurrence of cybercrime. The possibility of cybercrime can also happen on one of the social media platforms, such as the Signal Messenger application. In the investigation process, law enforcement needs mobile forensic methods and appropriate forensic tools so that the digital evidence found on the perpetrator's smartphone can be accepted by the court. This research aims to get digital evidence from cases of spreading the COVID-19 vaccine hoaxes. The method used in this research is a mobile forensics method based on the Digital Forensic Research Workshop (DFRWS) framework. The DFRWS framework consists of identification, preservation, collection, examination, analysis, and preservation. The results showed that the MOBILedit tool could reveal digital evidence in the form of application information and contact information with a performance value of 22.22%. Meanwhile, Magnet AXIOM cannot reveal digital evidence at all. The research results were obtained following the expected research objectives.
Analisis Efektivitas Pelatihan Kecerdasan Artifisial untuk Peningkatan Kompetensi Guru dalam Pengembangan Media Kreatif Sutikno, Tole; Ayuningtyas, Astika; Riadi, Imam; Winiarti, Sri; Rochmadi, Tri; Rosad, Safiq
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i4.7546

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan menganalisis efektivitas pelatihan pemanfaatan teknologi kecerdasan buatan (Artificial Intelligence/AI) dalam meningkatkan kompetensi guru, khususnya dalam pengembangan media pembelajaran kreatif. Pelatihan dilaksanakan di SMA Negeri 7 Yogyakarta dengan melibatkan guru-guru dalaliterasiemaparan teori dan praktik langsung menggunakan berbagai platform AI, seperti ChatGPT, Canva AI, serta generator gambar dan video berbasis AI. Evaluasi dilakukan melalui pre-test dan post-test untuk mengukur perubahan kemampuan peserta sebelum dan sesudah pelatihan. Hasil analisis menunjukkan peningkatan rata-rata skor dari 5,95 menjadi 9,50, yang menandakan adanya peningkatan signifikan pada aspek pengetahuan, keterampilan, dan sikap guru dalam menerapkan AI. Guru mampu menghasilkan media pembelajaran digital yang lebih interaktif dan relevan dengan kebutuhan siswa. Temuan ini menunjukkan bahwa pelatihan AI berperan penting dalam meningkatkan literasi teknologi guru sekaligus mendukung transformasi digital di lingkungan pendidikan menengah.
PENERAPAN PRESENSI DARING BERBASIS WEBASSEMBLY DAN MICROSERVICES UNTUK PENGENALAN WAJAH PADA LEARNING MANAGEMENT SYSTEM Sismadi, Wawan; Riadi, Imam; Murinto, Murinto
EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi Vol. 6 No. 2 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia (P4I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/edutech.v6i2.9474

Abstract

The demand for reliable, real-time online attendance systems capable of handling large-scale users continues to increase alongside the widespread adoption of Learning Management Systems (LMS) in higher education and online training. Conventional attendance methods based on manual input or simple authentication mechanisms suffer from weaknesses such as susceptibility to fraud, limited automation, and degraded performance under high workloads. Face recognition has emerged as a promising alternative, as it enables automatic and non-intrusive user identity verification. However, most face-based attendance systems still rely on centralized server-side processing, which leads to high latency and limited scalability. This study aims to design and evaluate an online attendance architecture that integrates WebAssembly and Microservices by separating computational workloads between the client and server. The Design Science Research method is employed to develop a web-based face attendance application as the research artifact, in which face detection and feature extraction are executed entirely on the client side using OpenCV.js compiled to WebAssembly, while authentication, attendance recording, and session management are handled by a Microservices-based backend. The evaluation includes face recognition accuracy testing, end-to-end latency measurement, and system throughput analysis. Experimental results demonstrate that the proposed architecture reduces attendance latency by approximately 72 percent compared to a monolithic server-side processing approach, while simultaneously increasing request handling capacity without compromising accuracy. These findings indicate that the integration of WebAssembly and Microservices constitutes an effective architectural solution for real-time biometric attendance systems. ABSTRAKKebutuhan akan sistem presensi daring yang andal, real-time, dan mampu menangani skala pengguna besar terus meningkat seiring dengan meluasnya penggunaan Learning Management System (LMS) dalam pendidikan tinggi dan pelatihan daring. Metode presensi konvensional berbasis input manual maupun autentikasi sederhana memiliki kelemahan berupa potensi kecurangan, keterbatasan otomatisasi, serta performa yang menurun pada kondisi beban tinggi. Pengenalan wajah menjadi solusi alternatif yang menjanjikan karena mampu memverifikasi identitas pengguna secara otomatis dan non-intrusif. Namun, sebagian besar sistem presensi berbasis wajah masih bergantung pada pemrosesan terpusat di sisi server, yang mengakibatkan latensi tinggi dan keterbatasan skalabilitas. Penelitian ini bertujuan merancang dan mengevaluasi arsitektur presensi daring berbasis integrasi WebAssembly dan Microservices dengan pendekatan pemisahan beban komputasi antara klien dan server. Metode Design Science Research digunakan untuk mengembangkan artefak berupa aplikasi presensi wajah berbasis web, di mana proses deteksi dan ekstraksi fitur wajah dijalankan sepenuhnya di sisi klien menggunakan OpenCV.js yang dikompilasi ke WebAssembly, sedangkan autentikasi, pencatatan presensi, dan manajemen sesi ditangani oleh backend berbasis Microservices. Evaluasi dilakukan melalui pengujian akurasi pengenalan wajah, pengukuran latensi end-to-end, dan analisis throughput sistem. Hasil pengujian menunjukkan bahwa arsitektur yang diusulkan mampu menurunkan latensi presensi sekitar 72 persen dibandingkan pendekatan monolitik berbasis pemrosesan server, sekaligus meningkatkan kapasitas penanganan permintaan tanpa mengorbankan tingkat akurasi. Temuan ini menunjukkan bahwa integrasi WebAssembly dan Microservices merupakan solusi arsitektural yang efektif untuk sistem presensi biometrik real-time.
Forensik Digital Cyberbullying pada Grup WhatsApp Menggunakan National Institute of Standards and Technology Widiandana, Panggah; Sunardi, Sunardi; Riadi, Imam
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 12 No. 01 (2026): Maret 2026
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v12i01.5275

Abstract

Cyberbullying on instant messaging platforms such as WhatsApp is a serious problem due to its psychological impact on victims and the difficulty of obtaining valid digital evidence. This study aims to analyze and uncover digital evidence of cyberbullying in WhatsApp groups using digital forensic methods based on the National Institute of Standards and Technology (NIST) framework, which includes the stages of collection, examination, analysis, and reporting. The research object was simulated WhatsApp conversation data obtained through a logical acquisition process on an Android device. Acquisition and analysis were performed using the digital forensic tools Autopsy, SQLite Viewer, and Cellebrite UFED. The research stages were carried out by simulating a cyberbullying case, and the simulation results were then acquired using the NIST stages. The data studied in the group consisted of 243 messages. The results showed that the NIST method was able to identify important digital artifacts in the form of conversation databases and user metadata, as well as reveal 77 messages containing elements of cyberbullying, consisting of 39 verbal insults, 25 taunts, and 14 derogatory comments. Data integrity verification was performed using SHA-256 hash values, which showed consistency before and after the extraction process, thus fulfilling the principle of forensic soundness. These findings prove that the application of NIST-based digital forensic methods is effective in supporting cyberbullying investigations on WhatsApp groups and is relevant for use in academic, legal, and cybersecurity contexts.
Classification of Pineapple Disease Types Using the VGG16 and EfficiennetB7 Model Approaches: Classification Ediansa, Oka; Riadi, Imam; Murinto, Murinto
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 12 No. 01 (2026): Maret 2026
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v12i01.5292

Abstract

Penyakit pada buah nanas merupakan salah satu faktor utama penyebab penurunan kualitas hasil panen dan kerugian ekonomi bagi petani. Identifikasi penyakit secara manual seringkali tidak akurat karena subjektivitas pengamat. Penelitian ini bertujuan untuk mengklasifikasikan jenis penyakit pada buah nanas menggunakan pendekatan Deep Learning dengan membandingkan dua arsitektur populer, yaitu VGG16 dan EfficientNetB7. Dataset yang digunakan berjumlah 215 citra yang terbagi ke dalam empat kelas: Busuk Pangkal, Bercak Hitam, Busuk Inti Buah, dan Nanas Sehat. Karena keterbatasan jumlah data, teknik Transfer Learning dan augmentasi data diterapkan untuk meningkatkan performa model. Hasil penelitian menunjukkan bahwa EfficientNetB7 memberikan performa yang lebih unggul dibandingkan VGG16 dengan akurasi validasi sebesar 89,25%, precision 88,50%, dan f1-score 88,20%. Sementara itu, VGG16 mencapai akurasi validasi sebesar 84,50%. Meskipun EfficientNetB7 membutuhkan waktu komputasi yang lebih lama per epoch, keunggulannya dalam mengekstraksi fitur kompleks pada tekstur kulit nanas menjadikannya model yang lebih ideal untuk sistem deteksi penyakit tanaman. Penelitian ini diharapkan dapat menjadi rujukan dalam pengembangan teknologi otomasi pertanian untuk meningkatkan efisiensi penanganan penyakit pascapanen nanas.
Header investigation for spam email forensics using framework of national institute of standards and technology Mustafa, Mustafa; Riadi, Imam; Umar, Rusydi
ILKOM Jurnal Ilmiah Vol 13, No 2 (2021)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i2.849.163-167

Abstract

Today's technology makes communication very easy and can be used anywhere, even a distance of hundreds to thousands of kilometres is not a barrier in communicating. One of the tools or media that is widely used is via email. However, there are many disadvantages that may be obtained from the email, one of which is spamming or mail. The purpose of this research is to know the stages of spamming email analysis through header analysis. The method used in this study is the National Institute of Standards and Technology (NIST) and this method uses 4 stages, namely collection, examination, analysis, and reporting. The results of this study are expected to be able to find out the spam sender's email address, the spam email sender's IP address, and other information needed.
Co-Authors Abdul Fadlil Abdul Fadlil Abdullah Hanif Abdullah Hanif Abe, Tuska Achmad Nugrahantoro Achmad Syauqi Ade Elvina Adiniah Gustika Pratiwi Agung Wahyudi Agus Wijayanto Ahmad Azhar Kadim Ahmad Azhari Ahmad Luthfi Ahmad, Muhammad Sabri Aini, Fadhilah Dhinur Ainunna’imah Akbar, Zulfikri Al Amany, Sarah Ulfah Alawi, Hanna Syahida Alwas Muis Andi Zulherry Andi Zulherry . Andrianto, Fiki Anggara, Rio Annisa, Putri Anshori, Ikhwan Anton Yudahana Anton Yudhana Anton Yudhana ANWAR, FAHMI anwar, nuril Apriliani, Evinda Aprilliansyah, Deco Arif Rahman Arif Rahman Arif Rahman Arif Wirawan Muhammad Arif Wirawan Muhammad Arif Wirawan Muhammad Ariqah Adliana Siregar Arizona Firdonsyah Asno Azzawagama Firdaus Asruddin Astika AyuningTyas, Astika Aulia, Aulia Aulyah Zakilah Ifani Bambang Robiin Bashor Fauzan Muthohirin Basir, Azhar Basit Adhi Prabowo Bernadisman, Dora Budi Barata Kusuma Utami Budin, Shiha Busthomi, Iqbal D.E Purwadi Putra, Izzan Julda Davito Rasendriya Rizqullah Putra Davito Rasendriya Rizqullah Putra Deco Aprilliansyah Dedy Sumarhadi Devaldi Caliesta Octadiani Dewi Astria Faroek Dewi Estri Jayanti Dewi Estri Jayanti H Dian Novianti Dikky Praseptian M Djou, M Rosyidi Dwi Aryanto Eddy Irawan Aristianto Ediansa, Oka Eko Brillianto Eko Handoyo Eko Handoyo Elfatiha, Muhammad Ihya Aulia Elvina, Ade Ervin Setyobudi Fadhilah Dhinur Aini Fadhilah Dhinur Aini Fadlil , Abdul Fahmi Anwar Fahmi Auliya Tsani Faiz , Muhammad Nur Faiz Isnan Abdurrachman Fakhri, La Jupriadi Fanani, Galih Farid Suryanto Fatmawaty, Virdiana Sriviana FAULINDA ELY NASTITI Fauzan Natsir Fauzan, Fauzan Firdonsyah, Arizona Firmansyah Firmansyah Firmansyah Firmansyah Fithriatus Shalihah Fitri, Fitriyani Tella Fitriyani Tella Furizal Furizal, Furizal Galih Fanani Galih Pramuja Inngam Fanani Guntur Maulana Zamroni Guntur Maulana Zamroni, Guntur Maulana Gusti Chandra Kurniawan Habie, Khairul Fathan Hafizh, Muhammad Nasir Hanif, Abdullah Harman, Rika Haruno Sajati Haryanto, Eri Helmiyah, Siti Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah, Herman Hero Wintolo Hidayati, Anisa Nur Himawan I Azmi Iis Wahyuningsih Ikhsan Zuhriyanto Ikhwan Anshori Imroatul Khuluqi Izzah Indah Purnama Sari Iqbal Busthomi Irhas Ainur Rafiq Irhash Ainur Rafiq Iwan Tri Riyadi Yanto, Iwan Tri Riyadi Jamalludin Jamalludin Jamalludin, Jamalludin Jayawarsa, A.A. Ketut Joko Handoyo Joko Triyanto Kariyamin, Kariyamin Kartoirono, Suprihatin Kurniawan, Endang Kurniawan, Gusti Chandra Kusuma, Ridho Surya Laura Sari Luh Putu Ratna Sundari M. Rosyidi Djou M.A. Khairul Qalbi Mahsun Mahsun Maulana, Irvan Mega Fatimah Rosana Merita Arini Mhd. Basri Miladiah Miladiah Miladiah, Miladiah Mohammad Faiq Badruz Zaman Muchlas Muchlas Muflih, Ghufron Zaida Muh. Hajar Akbar Muhajir Yunus Muhamad Abduh, Muhamad Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhammad Abdul Aziz Muhammad Abdul Aziz Muhammad Arief Sutisna Muhammad Fahmi Mubarok Nahdli Muhammad Faqih Dzulqarnain Muhammad Faqih Dzulqarnain, Muhammad Faqih Muhammad Fauzan Gustafi Muhammad Ihya Aulia Elfatiha Muhammad Irwan Syahib Muhammad Kunta Biddinika Muhammad Muhammad Muhammad Nur Faiz Muhammad Yanuar Efendi Muhammad Zulfadhilah Muhammad ‘Arif Bin Mohamad Munawaroh Munawaroh Murinto Murinto Murinto Murni Murti, Raden Hario Wahyu Musa, Shahrulniza Mushab Al Barra Mustafa Mustafa Mustafa Mustafa NANNY, NANNY Nasrulloh, Imam Mahfudl Nasution, Dewi Sahara Nia Ekawati Nia Ekawati Niki Ratama NORITA SINAGA Nur Hamida Siregar Nur Miswar Nur Widiyasono, Nur Nuril Anwar Nuril Anwar, Nuril Nurmi Hidayasari Panggah Widiandana Prabowo, Basit Adhi Pradana Ananda Raharja Prakoso, Danar Cahyo Prambudi, Rizal Prambudi Prasetyaningrum, Putri Taqwa Purwaningrum, Santi Purwanto Purwanto Purwono Purwono, Purwono Puspa Ira Dewi Candra Wulan Putri Annisa Putro, Aldibangun Pidekso Raden Hario Wahyu Murti Raden Mohamad Herdian Bhakti Rafiq, Irhash Ainur Rahmat Ardila Dwi Yulianto Ramadhani, Erika Ramansyah Ramansyah Rauli, Muhamad Ermansyah Rauli, Muhamad Ermansyah Reyhanssan Islamey Ridho Ikhram Ridho Ikhram Ridho Surya Kusuma Rika Harman Rio Widodo Riski Yudhi Prasongko Rivai, Zulki Yanto Rizal Prambudi Rochmadi, Tri Roni Anggara Putra Rosalia Setia Nursanti Rudy Ansari Rudy Ansari Ruslan, Takdir Rusydi Umar Rusydi Umar Rusydi Umar Ruuhwan Safiq Rosad Sahiruddin Sahiruddin Salim, Mansyur Santi Purwaningrum Sari, Laura Shiha Budin Simanjuntak, Pastima Sismadi, Wawan Sri Mulyaningsih Sri Winiarti Sri Winiarti Sri Winiati St Rahmatullah Sudaryanto Sudaryanto Sudinugraha, Tri Sugandi, Andi Suhartono, Bambang Sukma Aji Sunardi Sunardi - sunardi sunardi Sunardi Sunardi Sunardi, Sunardi Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Supriyanto Syaefudin, Rizal Syahida Alawi, Hanna Syahrani Lonang Syarifudin, Arma Taufiq Ismail Taufiq Ismail Tawar Tawar Tole Sutikno Tri Ferga Prasetyo Tri Lestari Tri Lestari Tri Rochmadi Triyanto, Joko Umar, Rusdy Veithzal Rivai Zainal Verry Noval Kristanto W, Yunanri Wahyusari, Retno Wardiwiyono, Sartini Wasito Sukarno Wawan Sismadi Weni Hawariyuni, Weni Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Widiandana, Panggah WIDODO, RIO Winiati, Sri Wintolo, Hero Wisnu Pranoto Yana Mulyana Yana Mulyana Yana Safitri, Yana Yohanni Syahra Yudi Kurniawan Yudi Kurniawan Yudi prayudi Yulian Wahyu Permadi Yuliansyah, Herman Yuliansyah, Herman Zein, Wahid Alfaridsi Achmad