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All Journal International Journal of Electrical and Computer Engineering International Journal of Evaluation and Research in Education (IJERE) Journal of Food and Pharmaceutical Science Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Voteteknika (Vocational Teknik Elektronika dan Informatika) JTEV (Jurnal Teknik Elektro dan Vokasional ELKHA : Jurnal Teknik Elektro Jurnal Sistem Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Jurnal Algoritma Jurnal Teknologi Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Komunikator ICON-CSE CESS (Journal of Computer Engineering, System and Science) Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Bulletin of Electrical Engineering and Informatics JOIN (Jurnal Online Informatika) Journal of Electrical Technology UMY Format : Jurnal Imiah Teknik Informatika Jurnal Teknologi dan Sistem Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research 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) Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Sains dan Informatika Insect (Informatics and Security) : Jurnal Teknik Informatika JRST (Jurnal Riset Sains dan Teknologi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Jiko (Jurnal Informatika dan komputer) Journal of Science and Engineering MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Krea-TIF: Jurnal Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Teknik Elektro dan Komputer TRIAC RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Jurnal Ilmiah Mandala Education (JIME) JSI (Jurnal sistem Informasi) Universitas Suryadarma Systemic: Information System and Informatics Journal Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Electronics, Electromedical Engineering, and Medical Informatics Buletin Ilmiah Sarjana Teknik Elektro RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Mobile and Forensics Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Riset Rekayasa Elektro Jurnal Repositor Respati Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems Journal of Innovation Information Technology and Application (JINITA) Reswara: Jurnal Pengabdian Kepada Masyarakat Infotech: Journal of Technology Information SKANIKA: Sistem Komputer dan Teknik Informatika Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Computer Science and Information Technology (CoSciTech) Journal Social Science And Technology For Community Service Jumat Informatika: Jurnal Pengabdian Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Techno Jurnal Pengabdian Pada Masyarakat Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat SmartComp Journal of Food and Pharmaceutical Sciences Jurnal Informatika: Jurnal Pengembangan IT Control Systems and Optimization Letters Emitor: Jurnal Teknik Elektro Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Signal and Image Processing Letters Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi Scientific Journal of Engineering Research Dedikasi Nusantara
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Empowering Indonesian Vocational Students with Artificial Intelligence Awareness: Challenges and Career Opportunities Suyahman, Suyahman; Prayitno, Kintung; Pratama, Genta; Biddinika, Muhammad Kunta; Yudhana, Anton
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 2 (2024): Volume 5, Nomor 2, September 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i2.4478

Abstract

Artificial intelligence (AI) has emerged as one of the most transformative and influential technological advancements, significantly impacting sectors like healthcare, finance, and education in the rapidly evolving digital era. However, vocational high school students often have limited knowledge about AI, primarily due to the superficial coverage of AI in their curriculum and the lack of resources and trained educators. This study aimed to assess the effectiveness of an intervention designed to enhance AI awareness and understanding among vocational high school students. A comprehensive program was implemented, involving initial assessments, interactive face-to-face training sessions, and facilitated group discussions. Descriptive analysis using statistical methods was employed to compare pretest and posttest data, revealing significant improvements in students' knowledge and attitudes towards AI. For example, the average score for the question "I know what Artificial Intelligence is" increased from 1.77 to 2.93, while "I can name an example of an AI application" rose from 1.76 to 2.85. Additionally, students showed increased awareness of AI's impact on future careers and a greater interest in learning more about AI, with scores rising from 2.20 to 2.85 and 2.48 to 2.96, respectively. The intervention proved effective in significantly enhancing students' understanding and attitudes towards AI, highlighting the value of targeted educational programs. By addressing gaps in AI education and fostering a proactive learning environment, the approach equips students with the knowledge and skills necessary to thrive in an AI-driven job market. This comprehensive strategy not only prepares students for future career challenges but also empowers them to leverage AI technology for career advancement.
ANALISIS DETEKSI PENYUSUP PADA LAYANAN OPEN JOURNAL SYSTEM MENGGUNAKAN METODE NETWORK FORENSIC DEVELOPMENT LIFE CYCLE Wintolo, Hero; Riadi, Imam; Yudhana, Anton
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 8 No 1 (2025): Jurnal SKANIKA Januari 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v8i1.3284

Abstract

This study aims to detect intruders on a server computer used for Open Journal System (OJS) services. The server is connected to the internet via a router, making it vulnerable to external attacks. In this research, the tool used is Tripwire, installed on the server computer as the main object. Tripwire functions as a change detection tool for the file system, identifying suspicious activities and recording valid file hashes, verifying file integrity against this record periodically. The system is operated by journal managers from computers connected to the server within the same network address providing OJS services. The method used in this research is the Network Forensic Development Life Cycle (NFDLC), which consists of several stages: initiation, acquisition, implementation, operation, and disposition. Each stage is applied systematically to facilitate the forensic analysis of attacks. The research results show that the NFDLC method is effective in analyzing and detecting intruders in the network. Based on forensic analysis using Tripwire, 12 data losses were found in 7 attack incidents identified on the OJS service. This study successfully demonstrates that the NFDLC method and Tripwire tool are effective in detecting and analyzing intruders attempting to access the OJS service server computer.
A STUDY OF WORLDWIDE PATTERNS IN ALPHABET SIGN LANGUAGE RECOGNITION USING CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS Rakhmadi, Aris; Yudhana, Anton; Sunardi, Sunardi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.4202

Abstract

Sign Language Recognition (SLR) has become an essential area of research due to its potential to promote understanding between the deaf and hearing communities through communication. This paper provides an in-depth study of various methodologies and models employed in SLR, focusing on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). We analyze their application to datasets from various sign languages, such as Arabic Sign Language (ArSL), American Sign Language (ASL), and British Sign Language (BSL), and explore how these models improve the recognition of dynamic, multi-dimensional hand gestures. This research not only advances the understanding of deep learning applications in sign language recognition but also addresses critical challenges in data processing and real-time applications, paving the way for inclusive technologies in informatics and human-computer interaction. Despite the progress in applying deep learning techniques to SLR, several challenges remain, particularly in dataset limitations, handling large vocabularies, and ensuring consistent performance across diverse environments and signers. The paper also investigates the broader applications of SLR, such as virtual reality, healthcare, education, and accessibility, and discusses the integration of SLR with human-computer interaction systems. Furthermore, it highlights current limitations in the field, such as difficulties with video data handling, the need for standard datasets, and issues related to training computational models. Finally, the paper outlines future research directions, including developing more robust SLR systems that can function effectively in uncontrolled environments, improving data collection methodologies, and creating real-time, user-friendly applications to assist the community of deaf and hard-of-hearing individuals.
Rancang Bangun Detektor Monosodium Glutamate (MSG) pada Makanan Berkuah Berbasis Internet of Things (IoT) Rosyady, Phisca Aditya; Rumagia, Yusril; Yudhana, Anton; Septiyani, Retnosyari; Habibah, Nurina Umy
Jurnal Teknik Elektro dan Komputer TRIAC Vol 10, No 1 (2023): Mei 2023
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v10i1.17854

Abstract

Monosodium Glutamate (MSG) merupakan senyawa yang banyak digunakan sebagai penyedap makanan agar memiliki cita rasa yang lebih gurih. Produk makanan yang mengandung MSG umumnya tidak mencantumkan dosis atau jumlah MSG yang digunakan. Permasalahan ini mengakibatkan tidak terkontrolnya konsumsi MSG di masyarakat. Hal ini tentunya dapat mengakibatkan penggunaan MSG secara berlebihan yang menyebabkan kelainan sistem kerja organ tubuh jika dikonsumsi dalam jumlah banyak dengan jangka waktu yang lama. Pada penelitian ini dibuat Detektor MSG dengan menggunakan Sensor Photodioda khususnya untuk makanan berkuah yang dapat dipantau dari jarak jauh berbasis Internet of Things (IoT) yang ditampilkan pada software Blynk. Pada pengujian ini larutan MSG dipanaskan dan dicampurkan dengan bahan reaksi cairan Ninhidrin untuk mengikat asam amino yang terdapat pada senyawa MSG. kemuadian diukur hasil tegangan dengan detektor secara berkala dalam waktu 30 detik. Hasil penelitian ini diketahui adanya penurunan nilai daya pancar cahaya (LUX) yang diterima Sensor Photodioda dengan rata- rata nilai penurunan untuk sampel kuah sayur bayam sebesar 1713,07 LUX, dan kuah bakso sebesar 2226,24 setiap penambahan 0,2 gram MSG.
Investigasi File Carving pada Media Penyimpanan Menggunakan Framework Computer Forensic Investigative Process Fakhri, La Jupriadi; Riadi, Imam; Yudhana, Anton
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.6125

Abstract

One of the uses of digital storage media in the digital era that is still popular today is the use of flash drives as a means of transferring data between computer devices. Flash disks are often used as evidence in digital investigation cases. The risk of losing data is one of the main problems that society often faces. Data loss occurs for various reasons, such as user error, device failure, malware attack, or criminal acts such as hacking. The file carving technique is used to recover lost or deleted files from digital storage media with Foremost software. However, with so many file types, it is sometimes difficult to choose which file types to recover and how to ensure the authenticity of the files. This study uses the Computer Forensic Investigative Process (CFIP) Framework on a flash drive, which is used as evidence in a criminal case. Foremost software is used to perform file carving techniques on flash drives. The results showed that the data acquisition process using DC3DD succeeded in producing digital evidence with a hash value that is identical to the original file. Foremost software successfully recovered various file types, such as 9 image files with jpg file type, 5 audio files with mp3 file type, and 5 document files with pdf file type. Foremost shows a high success rate, with file carving accuracy of 90% for image files, and 62.5% for audio files and documents. The average success rate of Foremost software in returning evidence is 73.08%.
Deteksi Kesegaran Daging Sapi Menggunakan Augmentasi Data Mosaic pada Model YOLOv5sM Yudhana, Anton; Silmina, Esi Putri; Sunardi
JRST (Jurnal Riset Sains dan Teknologi) Volume 9 No. 1 Maret 2025: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v9i1.24990

Abstract

Deteksi kesegaran daging sapi secara otomatis sangat penting dalam mendukung kualitas bahan pangan, terutama dalam mencegah konsumsi daging yang sudah tidak layak dan berisiko terhadap kesehatan. Metode manual yang saat ini umum digunakan bersifat subjektif, lambat, dan tidak efisien jika diterapkan pada skala industri. Oleh karena itu, diperlukan pendekatan berbasis kecerdasan buatan yang mampu melakukan deteksi secara cepat dan akurat. Penelitian ini mengusulkan model deteksi kesegaran daging sapi menggunakan YOLOv5sM, yaitu modifikasi dari YOLOv5s yang menggabungkan teknik augmentasi data Flip, Rotation, dan Mosaic. Dataset yang digunakan terdiri dari 4.000 citra daging sapi, terbagi menjadi 2.000 citra daging segar dan 2.000 citra daging tidak segar. Data kemudian dibagi menjadi data pelatihan, validasi, dan pengujian. Tiga model dikembangkan: model YOLOv5s tanpa augmentasi, model dengan Flip dan Rotation, serta model YOLOv5sM dengan tambahan Mosaic. Hasil penelitian menunjukkan bahwa YOLOv5sM menghasilkan kinerja terbaik dengan Precision dan Recall sebesar 100%, mAP50 sebesar 99,5%, dan mAP50:95 sebesar 96,2%. Hal ini menunjukkan peningkatan signifikan dibanding dua model lainnya. Dengan hasil tersebut, model YOLOv5sM memiliki potensi besar untuk diimplementasikan sebagai sistem pendeteksi kesegaran daging sapi dalam industri pengolahan pangan yang membutuhkan efisiensi dan keakuratan tinggi.
Initial Study of Public Address Usage in Mosque Audio Systems Safiq Rosad; Anton Yudhana; Tole Sutikno
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 13, No 1 (2025): Voteteknika (Vocational Teknik Elektronika dan Informatika)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v13i1.133053

Abstract

Abstract - The use of mosque audio systems as daily necessities, ensuring the message can be heard clearly, having a pleasant experience, and the congregation is more comfortable lingering while walking. People in Indonesia are accustomed to calling the type of audio system intended for mosques by calling one brand, even though this is the name of a loudspeaker manufacturing company that focuses on audio systems for public spaces, and in fact there are many other similar manufacturers, and this audio system is called Public Address (PA). This study aims to prove the type of PA, maintenance, problems, and handling of audio system problems that are often faced in the mosque environment. The research method used is descriptive qualitative which describes a phenomenon that occurs in the mosque environment, with data collection through questionnaires, and aims to verify existing knowledge and assess its validity. The results obtained from the distribution of a population of 200 mosques, resulted in 93,1% of mosques using the same PA manufacturer brand, but the satisfaction level was only 47,2%. The influencing factors are that 60% of the takmir/congregation are only users, and the average age of the takmir/congregation is 50 years and above or an age that is no longer productive and more protective of new technology. This study also discusses proposals for the development of PA in the future that can especially in active amplifiers (Self-applified) using decentralized rules which are distributed on ready nodes (speakers) with the aim of adaptability to room acoustics.
Analisis Perbandingan Pengolahan Citra Asli Dan Hasil Croping Untuk Identifikasi Telur Shoffan Saifullah; Sunardi -; Anton Yudhana
Jurnal Teknik Informatika dan Sistem Informasi Vol 2 No 3 (2016): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v2i3.638

Abstract

Thermal imaging camera and smartphone camera are the impacts of rapid technological development. This research uses two tools to take pictures of chicken eggs. Images of chicken eggs from the two tools are used to identify of size, determination of object and analysis of image cropping from the samples have used. Process analysis using Matlab prototype for image processing began with histogram, converting the image to grayscale or black white, then the process is carried region props, centroid and the bounding box and labeling. Process analysis using Matlab prototype for image processing began with histogram, converting the image to grayscale or black white, then the process is carried region props, centroid, bounding box and labeling. The process of identification egg objects with region props and labeling can be successfully performed with a 100 % success rate. Images of each sample were conducted to provide data that the cropping process gives the area to the smaller / less identifiable objects provide little value and uniform for any number of the same object. The identification process on the image of the chicken egg thermal cameras and smartphone cameras give equal areas. However, each data cropping of the process is done, the image from the thermal cameras and smartphone cameras give different values. So the cropping process provides the difference in the identification process of chicken eggs. The difference of the image processing of thermal cameras and smartphone cameras lies in the preprocessing of images of thermal cameras needed to complement and process images from the camera smartphone needs to process with the opening before to do the region props and labeling process getting the object is identified.
Akuisisi Bukti Digital Pada Instagram Messenger Berbasis Android Menggunakan Metode National Institute Of Justice (NIJ) Imam Riadi; Anton Yudhana; Muhamad Caesar Febriansyah Putra
Jurnal Teknik Informatika dan Sistem Informasi Vol 4 No 2 (2018): JuTISI
Publisher : Maranatha University Press

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

Abstract

The development of social media especially Instagram application is very rapidly. Instagram users usually do activities at any time by using Instagram as a communication tool for sharing information using Android smartphones. A large number of Instagram users makes this application vulnerable to Instagram abuse such as cyberbullying crime among Instagram users. The cases can be examined to obtain digital evidence in the form of chats and images/photos in Android smartphone. Investigations in this study use the National Institute of Justice (NIJ) method that provides several stages of preparation, collection, examination, analysis, and reporting while forensic applications use OXYGEN forensics. The process of data acquisition using OXYGEN forensics obtains evidence of data results in the form of photos/pictures and conversations on the Instagram messenger.
Design of Smart Hotstage-Microscopy for Enhancing Thermal Behaviour in Drug Melting Process Ramadhani, Muhammad; Yudhana, Anton; Budi Setianto, Arif; Mega Reski4, Julia; Cahya Subrata, Arsyad; Mufandi, Ilham; Jendri
Emitor: Jurnal Teknik Elektro Vol 25, No 2: July 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i1.7320

Abstract

The melting point of medicine is an important factor to determine the purity of medicinal raw materials, thermal behavior is closely related to the melting process of that. This research focuses on developing an intelligent Smart Hotstage-Microscopy prototype to observe thermal behavior in the drug melting process. This prototype heats the drug evenly on a hot plate equipped with a polarizing microscope, thermocouple sensor, microcontroller, and LCD display to view the temperature reading results. The performance of the Smart Hotstage-Microscopy prototype was obtained by testing the thermocouple sensor, heating system, cooling system, and drug validation. In this paper the test results show that the thermocouple sensor test has an R2 value of 0.9983, which shows that the correlation between the actual temperature and the hot part temperature shows a significant correlation, which is 99.83%. Testing the heating system from an average temperature of 28.57°C to the average temperature of 298.59°C took an average time of 11.28 minutes. Meanwhile, testing the cooling system took 5.19 minutes to reduce the temperature from average 298.59°C to 33.379°C. This test proves that the prototype of Smart Hotstage-Microscopy can work well in melting drugs
Co-Authors Aang Anwarudin Abd. Rasyid Syamsuri Abdel-Nasser Sharkawy Abdillah, Muhamad Aznar Abdul Azis Abdul Djalil Djayali Abdul Fadil Abdul Fadil Abdul Fadlil Abdul Fadlil Abe, Tuska Ade Firli Ansyori Adi Permadi Agung Dwi Nugroho, Agung Dwi Agus Jaka Sri Hartanta Ahmad Azhar Kadim Ahmad Ikrom Ahmad Ikrom Ahmad Syahril Mohd Nawi Ahmadi, Ahwan Akhwandi, Dasef AKRIMA, ASRA Alameka, Faza Alameka, Faza alders paliling Aldi Bastiatul Fawait Fawait Alfian Ma’arif Alin Khaliduzzaman Aminuyati Andhy Sulistyo Andiko Putro Suryotomo Andri Pranolo Anggara Ibnu Sidharta Annafii, Moch. Nasheh Anom Wahyu Asmorojati Anshori, Ikhwan Anton Satria Prabuwono Anton Satria Prabuwono Anwar Siswanto Anwarudin, Aang Ardiansyah, Ricy Arief Setyo Nugroho Aris Rakhmadi Ashari, Irvan Asno Azzawagama Firdaus Asra Akrima Astika AyuningTyas, Astika Aznar Abdillah, Muhamad Azrul Mahfurdz Bahagiya, Multika Untung Balza Achmad Basri, Mhd. Bella Okta Sari Miranda Belly Apriansyah Bintang, Rauhulloh Noor budi putra Budi Setianto, Arif Bulaka, Bardan Cahya Subrata, Arsyad Choirul Fajri Darso, Muhammad Daryono Daryono Dasef Akhwandi Deni Murdiani Denny Yoga Pratama Dewi Eko Wati Dian Nova Kusuma Hardani Didi Siprian Drezewski, Rafal Dwi Susanto Dwi Susanto Dwi Susanto Dzakarasma Tazakka Ma’arij Edi Ismanto Eka Rahmat B Eko Prianto Eko Prianto Elvina, Ade Fadil, Abdul Fadlil, Abdul Fadlillah Mukti Ayudewi Fahmi, Miftahuddin Fahrizal Djohar Fakhri, La Jupriadi Fathoni, Listya Febri Fatma Nuraisyah, Fatma Faza Alameka Faza Alameka Febryansah, M. Iqbal Fitrah Juliansyah Fitri Anggraini Fitri Anggraini, Fitri Fitriyanto, Rachmad Furizal Furizal Furizal Furizal, Furizal Galih Pramuja Inngam Fanani H, Hermansa Habibah, Nurina Umy Habsah Hasan Hadi Sasongko, Hadi Halil, Nur Ihsan Hanif, Abdullah Hanif, Kharis Hudaiby Hartanta, Agus Jaka Sri Hartono, Susilo Helmiyah, Siti Herman Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah, Herman Hermansa Herwindo Rahadian Hidayat, Lalu Amam Hikmatyar Insani Himawan I Azmi Igo Putra Pratama Iif Alfiatul Mukaromah Ikhsan Sugianto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhwan Anshori Ikrom, Ahmad Ilham Mufandi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Intan Puspitasari Irfan, Syahid Al Irwansyah Irwansyah Ivan Triyatno Jafri Din Jaka Dernata Jaka Dernata Jaka Japkowicz, Nathalie Jendri Juliansyah, Fitrah Kalbuadi, Dimas Baskoro Kartika Firdausy Kaspul Anwar Kaswijanti, Wilis Kawarul Hawari Ghazali Kgs Muhammad Rizky Alditra Utama Kgs Muhammad Rizky Alditra Utama Khaliduzzaman, Alin Khalif, Fajar Al Khoir, Syaiful Amrial Khoirul Anam Dahlan Kintung Prayitno, Kintung Kitagawa, Kodai Kurniawan, Gusti Chandra Kusuma , Damar Yoga Listya Febri Fathoni Liya Yusrina Sabila Luh Putu Ratna Sundari Lutfatul Kholifah M Rosyidi Djou M Rosyidi Djou M. Rosyidi Djou Mahsun Mahsun Mardi Sugama Marlina Mustafa, Marlina Maulana, Irvan Mawadati, Siti Mawarni, Syifa’ah Setya Mega Reski4, Julia Miftahuddin Fahmi Miftahus Surur, Miftahus Miko Wardani Mitra Adhimukti Moch. Nasheh Annafii Muchamad Kurniawan Muchlas Muchlas Muchlas Muchlas, Muchlas Mudinillah, Adam Muflih, Ghufron Zaida Muh. Fadli Hasa Muhamad Caesar Febriansyah Putra Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhamad Fahrul Reza Muhamad Rosidin Muhammad Aris Fajar Ilmawan Muhammad Darso Muhammad Irfan Pure Muhammad Jundullah Muhammad Kunta Biddinika Muhammad Kunta Biddinika Muhammad Miftahul Amri Muhammad Noor Fadillah Muhammad Noor Fadillah Muhammad Nur Faiz Muhammad Nur Faiz Muhammad Rizki Setyawan Muhammad Sabiq Dzakwan Muhammad Sabiq Dzakwan Muhammad, Khairul Muis, Alwas Mukaromah, Iif Alfiatul Murinto Murinto Mushab Al Barra Mushlihudin Mushlihudin Mushlihudin Mushlihudin Mushlihudin, Mushlihudin Mushlihudin, Mushlihudin Musliman, Anwar Siswanto Nathalie Japkowicz Novitasari, Putri Rachma Nuraeni, Eneng Nuryana, Zalik Nuryono Satya Widodo Ockhy Jey Fhiter Wassalam Peryanto, Ari Prasongko, Riski Yudhi Pratama, Denny Yoga Pratama, Genta Pratama, Gilang Ariya PRATAMA, IGO PUTRA prayudi, Andi Prianto, Eko Prihatmadi, Farhan Adyaqsa Priyatno Priyatno Putra, Aji Surya Kurniawan Putra, Marta Dwi Darma Putra, Satriya Dwi Putra, Seno Aji Putri, Dadva Pramesty Etsria Rachmad Fitriyanto Rachmad Very Ananda Saputra Raden Mohamad Herdian Bhakti Rafal Drezewski Rahmawan, Jihad Raja Bidin Raja Hassan Ramadhani, Muhammad Ramdhani, Rezki Rani Rotul Muhima Rauhulloh Ayatulloh Khomeini Noor Bintang Renangga Yudianto Reski, Julia Mega Resmi Aini Retnosyari Septiyani Reza, Muhamad Fahrul Rezki Ramdhani Rio Subandi Riski Prasongko Yudhi Prasongko Riski Yudhi Prasongko Rizky Andhika Surya Rosyady, Phisca Aditya Ruly Erwin AfanDika Rumagia, Yusril Rusdi Umar Rusydi Umar Rusydi Umar Rusydi Umar Rusydi Umar S, Sunardi Sabarudin Saputra Saberi Mawi Sabila, Liya Yusrina Safiq Rosad Sahta, Bobo Saifullah, Shoffan Samadri Samadri Saputra, Candra Deska Saputra, I Gede Purwana Edi saputro, tahap Sarjimin Sarjimin Sarjimin, Sarjimin Satriya Dwi Putra Sefindra Purnama Seno Aji Putra Septa, Frandika Septiyani, Retnosyari Septiyawan Rosetya Wardhana Sharipah Salwa Mohamed Shoffan Saifullah Sidharta, Anggara Ibnu Sidiq, Ahmad Fajar Sigit Wijaya Silmina, Esi Putri Siswaya Siswaya Siswaya, Siswaya Siti Hajar Siti Helmiyah Siti Helmiyah Son Ali Akbar sri suharti Sri Suharti Subandi, Rio Sulistyo, Andhy Sunardi Sunardi - Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suwanti Suwanti Suyadi Suyadi Syahid Al Irfan Syahrani Lonang Syed Abdullah Syinta Brata Tarisno Amijoyo Tiara Widyakunthaningrum Tole Sutikno Tri Wahono Tugiman Tugiman Umar, Rusydi Ummi Syafiqoh Ummi Syafiqoh Utama, Kgs Muhammad Rizky Alditra Utama, Kiagus Muhammad Rizky Aditra W, Yunanri Wahidah Mahanani Rahayu Wahyu Prawoto Wahyu Sapto Aji Wardani, Miko Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Widhianto, Trisno Wijaya, Setiawan Ardi Wilis Kaswijanti Windra Putri, Anggi Rizky Wintolo, Hero Yudianto, Renangga Zeehaida Mohamed