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All Journal International Journal of Electrical and Computer Engineering ComEngApp : Computer Engineering and Applications Journal JURNAL SISTEM INFORMASI BISNIS JTEV (Jurnal Teknik Elektro dan Vokasional 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 Emerging Science Journal 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) J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat 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, Controls (AVITEC) Jurnal Pengabdian Masyarakat Bumi Raflesia Cyber Security dan Forensik Digital (CSFD) Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) 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) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Informatika Teknologi dan Sains (Jinteks) Techno 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 Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JOCHAC Journal of Soft Computing Exploration
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Analisis Polifarmasi Terhadap Interaksi Obat Di Rumah Sakit Umum Kota Pekalongan Permadi, Yulian Wahyu; Akrom; Imam Riadi; St Rahmatullah
Lamda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 5 No. 1 (2025): April
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v5i1.1200

Abstract

The use of drugo in large quantities is called polypharmacy. The number of drug interactions depends on the number of drugs consumed, the possibility of drug interactions increases as more drugs are used in the prescription. This study aims to analyze the incidence of polypharmacy and drug interactions in outpatient prescriptions at Pekalongan City General Hospital. This study is a retrospective descriptive study conducted by analyzing outpatient prescription data for the period March–May 2023 at the hospital pharmacy depot. Prescription sheets containing two or more drugs (R/) were identified through reliable literature sources, namely www.drugs.com and www.medscape.com. Data were grouped and analyzed using SPSS spearman test. The results showed that of the total incidence of drug interactions of 877 patients, the gender of the patients was mostly female (68%), the age of the most was 26-45 years (58%), the number of drugs in the prescription was the largest two drugs with potential interactions 44%, the level of polypharmacy was moderate (48%), minor (21%), major (13%) and no interaction (18%). The largest number of diagnoses in the prescription was two diagnoses at 44%. The highest drug interaction mechanisms are pharmacodynamics (57.3%), pharmacokinetics (13%), unknown (29.7%). The most interacting drug combinations are rifampicin isoniazid 6.9%, furosemide cefixime 4.5% and sertraline gabapentin 4.5%. The correlation between the number of drug use and diagnosis according to the results of this study is a significant, strong and unidirectional correlation. Based on the results of this study, it is recommended that polypharmacy in prescriptions can be minimized and drug interaction monitoring be tightened to reduce the risk of dangerous side effects.
Analisis Forensik Mobile pada Aplikasi E-Commerce Menggunakan Metode Association of Chief Police Officers: Mobile Forensic Analysis Of E-Commerece Applications Using The Association Of Chief Police Officers Method Prambudi, Rizal Prambudi; Imam Riadi; Murinto
Cyber Security dan Forensik Digital Vol. 8 No. 1 (2025): Edisi Mei 2025
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/csecurity.2025.8.1.5234

Abstract

Media sosial merupakan platform daring yang memungkinkan komunikasi tanpa batas waktu dan lokasi, memfasilitasi interaksi antar pengguna. Walaupun fungsionalitasnya luas, media sosial sering disalahgunakan untuk berbagai tindakan kejahatan siber. Salah satu aplikasi yang banyak disalahgunakan untuk kegiatan ilegal adalah aplikasi e-commerce yang menyediakan berbagai transaksi jual beli. Aplikasi e-commerce menyimpan data pribadi di perangkat digital yang bisa digunakan sebagai bukti digital dalam kegiatan kriminal. Penelitian ini bertujuan mendapatkan bukti digital dari skenario kasus penipuan aplikasi e-commerce dengan menerapkan teknik forensik pada perangkat mobile serta menggunakan kerangka kerja Association of Chief Police Officers (ACPO). Bukti digital meliputi gambar, video, dan pesan teks. Keakuratan tools yang digunakan dengan mengintegrasikan metode ACPO dalam mengekstraksi bukti digital juga menjadi fokus dalam penelitian. Penelitian ini menggunakan Oxygen Forensic Detective dan MOBILedit Forensic Express sebagai tools. Bukti digital yang berhasil dipulihkan dari perangkat bukti berupa gambar dan video. Hasil penelitian menunjukkan bahwa Oxygen Forensic Detective berhasil memperoleh bukti digital sebesar 37%, sementara MOBILedit Forensic Express memperoleh bukti sebesar 26%. Hasil ini mengindikasikan bahwa metode forensik digital efektif dalam mengungkap bukti kejahatan di aplikasi e-commerce, dengan Oxygen Forensic Detective lebih unggul dibandingkan MOBILedit Forensic Express. Pemilihan alat forensik yang tepat berperan penting dalam investigasi digital.Kajian ini diharapkan dapat mendorong penerapan integrasi metode ACPO dan penggunaan tools forensik dalam mengungkapkan bukti digital kejahatan melalui e-commerce. Kata kunci: media sosial, forensik digital, kejahatan siber, ACPO, aplikasi e-commerce -------------------------- Abstract Social media is an online platform that enables communication without time and location constraints, facilitating interaction between users. However, these platforms are often misused for various cybercrimes. One type of application frequently exploited for illegal activities is e-commerce applications, which provide various buying and selling transactions. E-commerce applications store personal data on digital devices that can be used as digital evidence in criminal activities. This study aims to obtain digital evidence from a fraud case scenario involving an e-commerce application by applying forensic techniques on mobile devices and using the Association of Chief Police Officers (ACPO) framework. The digital evidence includes images, videos, and text messages. Another objective of this research is to assess the accuracy of the forensic tools used when integrating the ACPO method to extract digital evidence. This study utilizes Oxygen Forensic Detective and MOBILedit Forensic Express as the forensic tools. The digital evidence successfully retrieved from the device consists of images and videos. The results show that Oxygen Forensic Detective managed to extract 37% of digital evidence, while MOBILedit Forensic Express recovered 26%. In conclusion, digital forensic techniques are effective in uncovering evidence of crimes within e-commerce applications, with Oxygen Forensic Detective outperforming MOBILedit Forensic Express. Selecting the appropriate forensic tool plays a crucial role in digital investigations. This research is expected to encourage the integration of the ACPO method and the use of forensic tools in revealing digital evidence of crimes conducted through e-commerce. Keywords: social media, digital forensics, cybercrime, ACPO, e-commerce applications
PENINGKATAN KEAMANAN DATA TERHADAP SERANGAN REMOTE ACCESS TROJAN (RAT) PADA CYBERCRIMINAL MENGGUNAKAN METODE DYNAMIC STATIC NANNY, NANNY; PRAYUDI, YUDI; RIADI, IMAM
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 4 No 2 (2019): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3917.959 KB) | DOI: 10.24252/instek.v4i2.9522

Abstract

Remote Access Trojan (RAT) merupakan program malware jenis Trojan Horse yang mencakup pintu belakang (backdoor) untuk kontrol administratif atas komputer target. Penelitian ini melakukan skenario penyerangan untuk mengetahui cara kerja serangan RAT, melakukan serangan RAT dan meningkatkan keamanan data dari serangan RAT melalui simulasi dan manfaat dari MikroTik. Program malware jenis trojan njRAT sebagai media simulasi antara laptop attacker (penyerang) dan laptop victim (korban). Metode yang digunakan adalah metode Dynamic Static, dimana dalam pengaturan jaringan dengan menentukan IP Address, yaitu menghubungkan 2 (dua) MikroTik Router, Router RB951Ui Versi 6 di laptop attacker dan Router RB931-2nD di laptop korban. Beberapa tools forensik yang digunakan diantaranya Wireshark, Disk Investigator, Virus Total sebagai proses analisis. Kata kunci : firewall, njRAT, Remote Access Trojan (RAT), router
Analisis Forensik Keamanan Data Pribadi pada Mode Privasi Browser Menggunakan Metode National Institute of Standards and Technology (NIST) Syukri, Muhammad; Imam Riadi; Tole Sutikno
Jurnal PROCESSOR Vol 20 No 1 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.1.2012

Abstract

User privacy while browsing the internet has become a major concern, especially with the presence of the private mode feature in browsers, which is claimed to protect personal data. This study analyzes the extent to which private mode in Google Chrome and Mozilla Firefox browsers can safeguard personal data using the standard approach from the National Institute of Standards and Technology (NIST). Four simulation scenarios were conducted to evaluate the effectiveness of private mode in preventing user information from being stored. The research findings indicate that although private mode successfully prevents the storage of browsing history and user data on the hard disk, sensitive information such as accounts and passwords can still be accessed in memory (RAM) under certain conditions. These findings suggest that private mode is not entirely secure in protecting user privacy, particularly against attacks that exploit temporary data in RAM. The implications of this study highlight the need for further development in private mode security, both by browser developers and users who seek to enhance their personal data protection. This study also recommends additional strategies to be implemented more effectively in order to reduce the risk of data leakage when using private mode.
Penggunaan Teknologi Tools Powerpoint dan Canva untuk Media Informasi Riadi, Imam; Fadlil, Abdul; Andrianto, Fiki; Elvina, Ade; Fanani, Galih; Nasution, Dewi Sahara
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 6 No 2 (2022): Mei
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v6i2.11781

Abstract

Program pemberdayaan masyarakat ini bertujuan untuk menggunakan media Power Point dan Canva sebagai media penyampaian informasi yang inovatif dan meningkatkan soft skill desain. Pelatihan ini diikuti 15 mahasiswa baru program studi Sistem Informasi STIMIK Muhammadiyah Jakarta. Program ini melakukan 2 sesi pertemuan online melalui Zoom Meating karena Universitas mempraktikkan home learning, ada kebijakan tersebut terkait wabah Covid19. Pertemuan pertama memberikan materi tentang perkembangan teknologi dan media informasi sebagai tambahan wawasan. Pertemuan kedua memberikan tutorial tentang cara menggunakan Power Point dan tools Canva untuk mendesain informasi, yaitu desain sertifikat, desain undangan, desain animasi PPT, dan konten digital lainnya. Hasil tes pretest dan postest menunjukkan bahwa nilai presentase mahasiswa baru meningkat sebesar 13%. Hasil ini mengindikasikan adanya sedikit peningkatan dalam pengetahuan wawasan dan soft skill tentang teknologi media informasi. 
Analisis Forensik Digital terhadap Kasus Penipuan pada E-Commerce Menggunakan Metode ACPO Alawi, Hanna Syahida; Riadi, Imam; Sunardi, Sunardi
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 3 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i3.8604

Abstract

Abstrak – Perkembangan e-commerce berbasis media sosial telah meningkatkan risiko kejahatan siber, terutama kasus penipuan yang dilakukan di luar sistem resmi platform. TikTok Shop menjadi salah satu platform yang paling banyak digunakan, tetapi maraknya transaksi di luar sistem menimbulkan tantangan dalam investigasi kejahatan digital. Penelitian ini bertujuan untuk menganalisis efektivitas metode ACPO (Association of Chief Police Officers) dalam proses investigasi forensik digital guna mengidentifikasi dan mengamankan bukti elektronik terkait kasus penipuan pada e-commerce berbasis media sosial. Penelitian dilakukan dengan pendekatan eksperimental menggunakan Belkasoft dan MOBILedit Forensic Express untuk mengekstraksi bukti digital dari perangkat seluler. Dataset awal terdiri dari 2 akun, 2 gambar, 1 video, dan 8 percakapan pesan, sehingga total terdapat 13 bukti digital. Hasil pengujian menunjukkan bahwa Belkasoft berhasil mengekstraksi gambar dan video (100%) tetapi gagal memperoleh akun serta percakapan pesan, sedangkan MOBILedit Forensic Express berhasil mengekstraksi seluruh bukti (100%) kecuali video. Dengan menerapkan prinsip ACPO, memastikan penyelidikan bahwa seluruh bukti digital dikumpulkan secara sistematis dengan tetap menjaga integritasnya agar dapat digunakan dalam proses hukum. Hasil penelitian ini menunjukkan bahwa metode ACPO dapat diimplementasikan secara efektif dalam analisis forensik digital guna mendukung investigasi kejahatan siber di platform e-commerce berbasis media sosial. Penerapan metode ini berkontribusi dalam meningkatkan efektivitas investigasi dan validitas bukti digital dalam sistem peradilan. 
Improving Credibility of Digital Evidence Investigation in E-Commerce Fraud Cases using ISO/IEC 27037 Syahida Alawi, Hanna; Riadi, Imam; Sunardi, Sunardi
International Journal of Advances in Data and Information Systems Vol. 6 No. 2 (2025): August 2025 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i2.1408

Abstract

TikTokShop fraud is an emerging challenge in e-commerce investigations, demanding robust digital forensic approaches. This study tackles the complexities of investigating such fraud within the TikTokShop platform, focusing on the acquisition, preservation, and validation of multifaceted digital evidence, including screenshots, payment records, account data, videos, and communication logs. Adhering to ISO/IEC 27037 for evidence handling, Magnet and Oxygen forensic tools were used for systematic evidence acquisition. The analysis using Oxygen Forensic recovered 100% of relevant artifacts, which is slightly higher compared to Magnet Axiom, which recovered 38.46% of artifacts, although both tools were effective in retrieving critical artifacts such as image metadata, account information, and data transfers. Due to image compression by the TikTokShop application, discrepancies in hash values emerged, requiring supplementary validation. Optical Character Recognition (OCR) and Levenshtein distance algorithms quantified textual similarity within image-based evidence, while the Forensically platform enabled advanced image forensic analyses to detect potential tampering and authenticity. This rigorous, multi-layered forensic framework complements traditional hash verification by providing corroborative content-level authentication. Findings confirm that although hash inconsistencies arise from application-induced compression, integrating OCR, Levenshtein, and forensic image analysis enhances the reliability of digital evidence. The novelty of this research lies in its robust synergy of ISO/IEC 27037-compliant handling with advanced digital content verification, contributing to the advancement of digital forensic practices in complex social commerce fraud scenarios.
Performance Comparison of Learned Features from Autoencoder and Shape-Based Hu Moments for Batik Classification Dzulqarnain, Muhammad Faqih; Fadlil, Abdul; Riadi, Imam
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4827

Abstract

Batik classification depends critically on effective feature extraction to capture the unique geometric and visual characteristics of batik patterns. This study compares two distinct feature extraction methods for batik classification: learned features extracted via a convolutional autoencoder, and shape-based handcrafted features derived from Hu Moments. While autoencoders automatically learn complex latent representations that adapt to intricate pattern variations, Hu Moments provide invariant shape descriptors robust to rotation, scaling, and translation. The methodology involves extracting Hu Moment features and autoencoder latent features from the same batik image dataset, followed by evaluation with identical classifiers to ensure a fair comparison. Experimental results reveal key trade-offs: Hu Moments offer robustness and interpretability in capturing shape geometry, whereas autoencoder features better model complex, non-linear patterns. These findings highlight the complementary strengths of classical and learned feature extraction techniques, offering valuable insights for optimizing batik classification. This research advances feature extraction methodologies in cultural heritage image analysis, with broader applicability to pattern-rich domains like batik classification.
Validation and Evaluation of Browser Forensics Using Digital Forensic Approach Based on the National Institute of Standards and Technology (NIST) Framework Syukri, Muhammad; Riadi, Imam; Sutikno, Tole
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4977

Abstract

Browsers have become essential applications in digital life alongside the advancement of internet technology. However, users’ low awareness of privacy security during web browsing can lead to the risk of data theft by malicious parties. This study analyzes digital traces in Google Chrome and Mozilla Firefox using a digital forensic approach based on the standards of the National Institute of Standards and Technology (NIST). The method involves four testing scenarios to compare digital traces in storage media (hard drive) and RAM between normal and private/incognito browsing modes. The objective of this research is to validate and evaluate previous findings conducted on the Linux operating system, using a different approach within a Windows environment. The experiment uses the same digital forensic tools to ensure data accuracy. This study contributes to the advancement of browser forensics by presenting a validated and reproducible framework for memory-based privacy evaluation, thereby supporting more accurate and systematic analysis of digital traces.
Analisis Sistem Deteksi Citra untuk Optimalisasi Pengawasan Lalu Lintas Udara Menggunakan Algoritma YOLOv5 Ayuningtyas, Astika; Riadi, Imam; Yudhana, Anton
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 10 No. 3 (2025): September 2025
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2025.10.3.364-376

Abstract

This study aims to develop an image detection system capable of identifying manned and unmanned aircraft objects to support air traffic surveillance. The increasing flight activity, both from commercial aircraft and drones, requires a more optimal surveillance system to connect the airspace efficiently. In this study, a Convolutional Neural Network (CNN) model utilizing the You Only Look Once version 5 (YOLOv5) method is employed to detect and classify objects in real-time from aircraft images. The methodology employed includes collecting aerial image data, labeling the data, and training object detection models using YOLOv5. The dataset used consists of 2,520 images of manned aircraft (warplanes) and 5,422 images of unmanned aircraft (drones). The experimental results demonstrate that the YOLOv5 model achieves high detection accuracy for both manned and unmanned aircraft, with a relatively fast inference time, thereby supporting the development of an effective air traffic surveillance system. This system is expected to be an integral part of a more sophisticated and responsive air traffic surveillance solution.
Co-Authors ., Andi Zulherry Abdul Fadlil Abdul Fadlil Abdullah Hanif Abdullah Hanif Abe, Tuska Achmad Nugrahantoro Achmad Syauqi Ade Elvina Adhi Prabowo, Basit 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 Alfian Ma’arif Andrianto, Fiki Anggara, Rio Annisa, Putri Anshori, Ikhwan Anton Yudahana Anton Yudhana Anton Yudhana ANWAR, FAHMI anwar, nuril Apriliani, Evinda Aprilliansyah, Deco Ardi Pujiyanta Arif Rahman Arif Rahman Arif Wirawan Muhammad Arif Wirawan Muhammad Arif Wirawan Muhammad Ariqah Adliana Siregar Arizona Firdonsyah Asno Azzawagama Firdaus Asruddin, Asruddin Astika AyuningTyas, Astika Aulia, Aulia Aulyah Zakilah Ifani Bahagiya, Multika Untung Bashor Fauzan Muthohirin Basir, Azhar Bernadisman, Dora Budi Barata Kusuma Utami Budin, Shiha Busthomi, Iqbal Chandra Kurniawan, Gusti D.E Purwadi Putra, Izzan Julda Davito Rasendriya Rizqullah Putra Davito Rasendriya Rizqullah Putra Deco Aprilliansyah Dewi Astria Faroek Dewi Estri Jayanti 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 Fauzan Natsir Fauzan, Fauzan Firdonsyah, Arizona Fithriatus Shalihah Fitri, Fitriyani Tella Fitriyani Tella Furizal Furizal, Furizal Galih Fanani Galih Pramuja Inngam Fanani Guntur Maulana Zamroni Guntur Maulana Zamroni, Guntur Maulana Habie, Khairul Fathan Hafizh, Muhammad Nasir Hanif, Abdullah Harman, Rika Haryanto, Eri Helmiyah, Siti Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah, Herman Hidayati, Anisa Nur Himawan I Azmi Iis Wahyuningsih Ikhsan Zuhriyanto Ikhwan Anshori Imroatul Khuluqi Izzah Iqbal Busthomi Irhas Ainur Rafiq Irhash Ainur Rafiq Islamey, Reyhanssan 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 Miladiah Miladiah Miladiah, Miladiah Muammar Muammar, Muammar 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 Fahmi Mubarok Nahdli 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 Muis, Alwas Murinto Murinto Murinto Murni Murni Murti, Raden Hario Wahyu Mushab Al Barra Mustafa Mustafa Mustafa Mustafa NANNY, NANNY Nasrulloh, Imam Mahfudl Nasution, Dewi Sahara Nia Ekawati, Nia Novianti, Dian Nur Faiz, Muhammad 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 Prasongko, Riski Yudhi Purwaningrum, Santi Purwanto Purwanto Purwono Purwono Purwono, Purwono Purwono, Purwono Putra, Marta Dwi Darma 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 Ridho Ikhram Ridho Surya Kusuma Rio Anggara Rio Widodo Rivai, Zulki Yanto Riyanarto Sarno Rizal Prambudi Robiin, Bambang Rochmadi, Tri Roni Anggara Putra Rudy Ansari, Rudy Ruslan, Takdir Rusydi Umar Rusydi Umar Rusydi Umar Ruuhwan Ruuhwan Safiq Rosad Sahiruddin Sahiruddin Salim, Mansyur Santi Purwaningrum Sari, Laura Shiha Budin Sismadi, Wawan Sri Mulyaningsih Sri Winiarti Sri Winiarti Sri Winiati St Rahmatullah Sudinugraha, Tri Sugandi, Andi Suhartono, Bambang Sukma Aji Sunardi Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Supriyanto Syaefudin, Rizal Syahib, Muhammad Irwan Syahida Alawi, Hanna Syahrani Lonang Syarifudin, Arma Taufiq Ismail Taufiq Ismail Tawar Tawar Tohari Ahmad Tole Sutikno Tri Lestari Tri Lestari Triyanto, Joko Umar, Rusdy Veithzal Rivai Zainal Verry Noval Kristanto W, Yunanri Wahyusari, Retno Wardiwiyono, Sartini Wasito Sukarno 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 Yudi Kurniawan Yudi Kurniawan Yudi prayudi Yulian Wahyu Permadi Yuliansyah, Herman Yuliansyah, Herman Zein, Wahid Alfaridsi Achmad