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All Journal Teknika Jupiter Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) JUITA : Jurnal Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika SemanTIK : Teknik Informasi QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama SISFOTENIKA Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial JURNAL MEDIA INFORMATIKA BUDIDARMA Informatics for Educators and Professional : Journal of Informatics SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Persada Husada Indonesia INTECOMS: Journal of Information Technology and Computer Science JSiI (Jurnal Sistem Informasi) JURNAL PENDIDIKAN TAMBUSAI Journal on Education Informasi Interaktif Progresif: Jurnal Ilmiah Komputer Jusikom: Jurnal Sistem Informasi Ilmu Komputer TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Pendidikan dan Konseling Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Sistem Informasi dan Informatika (SIMIKA) Journal of Applied Engineering and Technological Science (JAETS) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Elektro dan Komputasi (ELKOM) JATI (Jurnal Mahasiswa Teknik Informatika) INFORMASI (Jurnal Informatika dan Sistem Informasi) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian Masyarakat Khatulistiwa Just TI (Jurnal Sains Terapan Teknologi Informasi) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Nasional (JPN) Indonesia SENADA : Semangat Nasional Dalam MengabdI Jurnal Cahaya Mandalika Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Sosial dan Teknologi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Tika Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) JUTECH : Journal Education and Technology Jurnal Widya Conten : Computer and Network Technology AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Pendidikan Sains dan Komputer International Journal Software Engineering and Computer Science (IJSECS) Jurnal Informatika Teknologi dan Sains (Jinteks) Malcom: Indonesian Journal of Machine Learning and Computer Science DEVOTE: Jurnal Pengabdian Masyarakat Global International Journal of Science and Environment Cross-border CKI On Spot SmartComp SENADA : Semangat Nasional Dalam Mengabdi Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia Journal Innovations Computer Science Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Informasi interaktif : jurnal informatika dan teknologi informasi

Dadang Iskandar Mulyana`

ST Ilmu Komputer Cipta Karya Informatika

Author-ID : 3161473

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Optimasi Penerapan Metode Text Recognition Dalam Fitur Catatan Otomatis Berbasis Mobile Mulyana, Dadang Iskandar; Yel, Mesra Betty; Rahmanto, Muhammad Dzaky
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i2.634

This study discusses the optimization of Machine Learning Kit Text Recognition in creating an automatic note feature based on mobile devices. Machine Learning Kit Text Recognition is used to recognize text captured from photos taken by users. In this study, a mobile application was developed to allow users to create automatic notes by taking pictures of documents or texts, which are then recognized and transformed into editable digital text. This feature can help users to create notes more quickly and easily, as well as avoid errors in manually typing the text. In addition, the test results show that Machine Learning Kit Text Recognition is capable of recognizing text with fairly high accuracy, effectively recognizing text from various texts and fonts, supporting uncommon languages, preserving user privacy, and being able to perform text recognition processes offline or with more efficient resources. Therefore, the automatic note feature can run well on mobile applications built using Machine Learning Kit Text Recognition technology.

Deteksi Objek bertumpuk Gerak Tangan Bahasa Isyarat SIBI dengan Algoritma LSTM-Holistic Mulyana, Dadang Iskandar; Putra, Guruh Taruno
INTECOMS: Journal of Information Technology and Computer Science Vol 8 No 2 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v8i2.14556

Tantangan yang dihadapi individu dengan gangguan pendengaran dalam berkomunikasi, terutama di lingkungan yang kurang mendukung komunikasi visual, menegaskan pentingnya bahasa isyarat sebagai media utama. Di Indonesia, dua sistem bahasa isyarat yang menonjol adalah SIBI (Sistem Isyarat Bahasa Indonesia) dan BISINDO (Bahasa Isyarat Indonesia). Namun, kompleksitas dan nuansa bahasa isyarat, termasuk gerakan bertumpuk dan gerakan dinamis, menjadi hambatan signifikan dalam pengenalan dan penerjemahan yang akurat. Penelitian ini mengusulkan sistem pengenalan bahasa isyarat SIBI secara real-time dengan memanfaatkan algoritma Long Short-Term Memory (LSTM) dan kerangka Mediapipe-Holistic. Teknologi ini diintegrasikan untuk memproses gerakan dinamis dan gerakan tangan bertumpuk dengan efisien. Sistem ini dirancang untuk menerjemahkan gerakan bahasa isyarat menjadi teks. Dengan teknik pembelajaran mesin, sistem ini akan menggunakan data yang diambil secara privat sebanyak 14,400 untuk setiap gerak bahasa isyarat. untuk melatih model agar dapat mengenali gerakan serta mampu beradaptasi dengan berbagai gaya komunikasi dan kondisi lingkungan data akan dibagi menjadi 80:15. Penelitian ini mencapai akurasi deteksi 99.3% berdasarkan F1-Score yang memungkinkan model untuk melakukan deteksi gerak bahasa isyarat SIBI secara akurat.

OPTIMIZING THE IMPLEMENTATION OF THE YOLO AND DATA ALGORITHM AUGMENTATION IN HANACARAKA JAVANESE SCRIPT LANGUAGE CLASSIFICATION Ikhsan, Ikhsan; Mulyana, Dadang Iskandar
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 1 (2023): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v7i1.4062

The Javanese language and Javanese script are one of the rich cultural heritages in Indonesia, but there are still many people who do not have sufficient understanding of the Javanese language and culture, including the Javanese script. This can have an impact on the loss of language and cultural diversity, as well as the loss of the local identity of the Javanese people. The lack of knowledge about Javanese script language culture can be caused by various factors, such as the lack of access to adequate learning resources, the minimum use of Javanese language and script in daily life, and the lack of attention from the government and society towards the preservation of Javanese language and culture. This study aims to optimize the application of the YOLO (You Only Look Once) algorithm and data augmentation techniques in the Javanese language classification Hanacaraka script. The method used in this study was collecting data on Javanese Hanacaraka script images, data labeling, data augmentation, and model training using the YOLO algorithm. The results showed that the Javanese script pattern recognition method used the YOLO algorithm which had gone through the data augmentation process, showing good results with an accuracy of 96.4% using 3021 image data sources for the hanacaraka letters.

Health Detection of Betal Leaves Using Self-Organizing Map and Thresholding Algorithm Dadang Iskandar Mulyana; Ahmad Saepudin; Mesra Betty Yel
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Betel leaf is one of the plants that is widely used as a natural or traditional medicine by the community, natural treatment with the use of plants is relatively safer. But there is a problem when we choose healthy betel leaves because of our mistakes in choosing which betel leaves are healthy and which are not. With this research the authors aim to detect healthy and sick betel leaves using data collection. Feature extraction used is the value of Red, Green, and Blue (RGB) and Hue, Saturation, and Value (HSV) to get the characteristics of the color image. Then the results of the feature extraction are used to classify the health of green betel leaves using the Self-Organizing Maps method. The green betel leaf data used is 1500 images for train data and 450 images for testing data are image test data, test data that produces an evaluation value with an accuracy value of 97.20% on the Self-Organizing Maps method.

IMPLEMENTASI WEBSITE SEKOLAH UNTUK SMK IMTAQ DARURRAHIM SEBAGAI MEDIA INFORMASI DAN PENDAFTARAN SISWA BARU JAKARTA TIMUR Arief, Yoga Sofyan; Setiawan, Itca Bagus; Akmal, Roid Adip; Mulyana, Dadang Iskandar
Devote: Jurnal Pengabdian Masyarakat Global Vol. 4 No. 2 (2025): Devote : Jurnal Pengabdian Masyarakat Global, Juni 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/devote.v4i2.3810

This Community Service activity aims to assist SMK Imtaq Darurrahim in developing a web-based information system to serve as a medium for disseminating school information and facilitating new student registration online. The system was designed and built using PHP with the CodeIgniter framework and MySQL as the database. The development process employed the Waterfall model, which includes the stages of requirement analysis, system design, implementation, testing, and maintenance. The system comprises three main modules: Information Media (announcements, news, gallery, and contact), Registration System (online registration form), and Management Dashboard (for content and registration data management by school staff). Implementation was carried out through training sessions for the admin and school staff to ensure independent system management. Black box testing showed that 96% of the system’s functions operated correctly, while 4% experienced minor bugs that were subsequently fixed. Server stability testing over a three-month period recorded a 99.8% uptime with an average response time of 1.2 seconds. Security testing identified one minor vulnerability, which was immediately resolved. Overall, the information system effectively meets the school's needs in delivering timely information and simplifying the online student registration process, with reliable performance and security.

RANCANG BANGUN APLIKASI PENGADUAN SARANA DAN PRASARANA BERBASIS WEB PADA SMK IDN JONGGOL Wicaksono, Bima; Iskandar Mulyana, Dadang
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13698

Aplikasi pengaduan sarana dan prasarana berbasis web dirancang untuk mendukung pengelolaan fasilitas di SMK IDN Jonggol, Jawa Barat. Aplikasi ini bertujuan untuk memberikan solusi terhadap permasalahan yang dihadapi, seperti kurangnya sistem yang terorganisir dalam mengelola pengaduan sarana dan prasarana, serta kesulitan dalam memantau status penyelesaian pengaduan. Saat ini, pengelolaan pengaduan sering dilakukan secara manual, sehingga memerlukan waktu lebih lama dan berpotensi menyebabkan data tidak terkelola dengan baik. Aplikasi ini dirancang dengan fitur-fitur seperti pengajuan pengaduan secara online, pelacakan status pengaduan, manajemen data sarana dan prasarana, serta pembuatan laporan pengaduan secara otomatis. Dengan adanya aplikasi ini, diharapkan proses pengelolaan pengaduan di SMK IDN Jonggol dapat berjalan lebih efisien, transparan, dan sistematis. Selain itu, aplikasi ini juga memungkinkan pihak sekolah untuk memonitor kebutuhan pemeliharaan sarana dan prasarana secara lebih terstruktur, sehingga dapat meningkatkan kualitas layanan dan kenyamanan di lingkungan sekolah. Dengan implementasi aplikasi pengaduan sarana dan prasarana berbasis web ini, diharapkan SMK IDN Jonggol dapat mengelola pengaduan secara lebih efektif dan memberikan respons yang lebih cepat terhadap kebutuhan perbaikan, sehingga mendukung terciptanya lingkungan belajar yang lebih baik.

Optimizing Contextual Features for Instagram Engagement Prediction using Long Short-Term Memory (LSTM) Aswad, Hazrul; Mulyana, Dadang Iskandar; Kastum, Kastum
TIN: Terapan Informatika Nusantara Vol 6 No 3 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i3.8166

Instagram has become an important communication medium for academic institutions, enabling the dissemination of information, promotion of activities, and engagement with the campus community. At STIKOM CKI Jakarta, the official Instagram account plays a key role in academic communication, making it essential to optimize content strategies for higher audience interaction. This study analyzes 311 publicly available posts collected from July 2023 to July 2025 from the institution’s official account. Although relatively small for deep learning, the dataset provides representative patterns for the case study while highlighting the model’s capability under limited data conditions. A predictive framework based on Long Short-Term Memory (LSTM) was developed by integrating textual features from captions with contextual features such as posting time, content type, hashtag count, and interaction metrics. The aim is to accurately estimate engagement scores and provide actionable posting recommendations. The evaluation achieved an R² of 88.00%, MAE of 0.0450, and RMSE of 0.0720, indicating strong predictive performance. The contribution of this research lies in demonstrating that optimizing contextual features can significantly enhance academic social media engagement and in providing an adaptable methodology for institutions with limited historical data.

DETEKSI REAL-TIME DURASI KEHADIRAN PELANGGAN DI MEJA KAFE DENGAN KAMERA IP DAN ALGORITMA DEEP SORT Iskandar Mulyana, Dadang; Rizki, Muhammad
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 5 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/9rh7xv34

Perkembangan teknologi visi komputer telah membuka peluang bagi industri jasa, khususnya kafe, untuk meningkatkan efisiensi operasional dan pemahaman perilaku pelanggan. Penelitian ini mengusulkan dan mengimplementasikan sistem real-time untuk mendeteksi dan menghitung durasi duduk pelanggan di meja kafe dengan memanfaatkan IP Camera sebagai perangkat akuisisi data, serta algoritma YOLOv8 untuk deteksi objek dan Deep SORT untuk pelacakan multi-objek. Sistem ini dirancang untuk mengidentifikasi keberadaan manusia, mengaitkannya dengan posisi meja, dan mencatat waktu kedatangan serta kepergian pelanggan secara otomatis. Data yang dihasilkan dapat digunakan untuk analisis tingkat okupansi meja, durasi kunjungan rata-rata, dan optimalisasi tata letak ruang. Evaluasi sistem dilakukan dengan menguji akurasi deteksi, pelacakan, serta perhitungan durasi duduk terhadap data ground truth. Hasil pengujian menunjukkan bahwa sistem mampu menjalankan fungsinya secara efektif dengan akurasi pelacakan mencapai lebih dari 85% pada kondisi pencahayaan dan sudut kamera yang optimal. Sistem ini diharapkan dapat menjadi solusi cerdas bagi pengelola kafe dalam pengambilan keputusan berbasis data. Kata Kunci: Computer Vision, YOLOv8, Deep SORT, IP Camera, Pelacakan Objek, Durasi Duduk, Kafe, Real-Time.

Pengembangan Sistem POS Terintegrasi QRIS Pada UMKM IDN Jonggol Jawa Barat Mulyana, Dadang Iskandar; Imantara, Alaqsha Gilang; Bashir, Ade Abdul
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 4 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/kbgspw64

Penelitian ini bertujuan untuk mengembangkan sistem Point of Sale (POS) terintegrasi dengan Quick Response Code Indonesian Standard (QRIS) dan fitur laporan guna mendukung efisiensi transaksi dan pengelolaan keuangan bagi pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) IDN Jonggol, Jawa Barat. Sistem ini dirancang untuk menjawab kebutuhan UMKM terhadap metode pembayaran nontunai yang cepat, aman, dan seragam, sekaligus menyediakan laporan penjualan secara otomatis dan real-time. Metode pengembangan yang digunakan adalah pendekatan Software Development Life Cycle (SDLC) model waterfall, dengan tahapan analisis, perancangan, implementasi, pengujian, dan pemeliharaan. Hasil implementasi menunjukkan bahwa sistem POS yang dibangun mampu memproses pembayaran melalui QRIS dengan akurasi tinggi, serta menghasilkan laporan penjualan harian, mingguan, dan bulanan yang dapat diakses melalui dashboard . Respon pengguna terhadap sistem ini menunjukkan peningkatan efisiensi dan transparansi dalam pengelolaan usaha. Dengan demikian, sistem POS terintegrasi ini berpotensi menjadi solusi teknologi yang aplikatif dan relevan dalam mendukung transformasi UMKM di daerah Jonggol maupun wilayah serupa.

Analisis Sentimen Pemecatan Shin Tae-yong pada Media Sosial X untuk Monitoring Opini Publik Menggunakan Naïve Bayes dan Support Vector Machines Arisenja, Ni Luh Bumi; Mulyana, Dadang Iskandar
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1561

Social media has become a primary platform for people to voice their opinions on national issues, including in the field of sports. One of the hotly discussed issues is the dismissal of the Indonesian National Team coach, Shin Tae-Yong. This study aims to analyze public sentiment towards the dismissal through social media platform X (formerly known as Twitter) using two machine learning algorithms, namely Naïve Bayes and Support Vector Machines (SVM). Data was obtained through a crawling process using the keyword pecat shin tae-yong, then carried out pre-processing stages such as cleaning, tokenizing, stopword removal, and stemming. The evaluation process was carried out using a confusion matrix to measure accuracy, precision, recall, and F1-score. The classification results show that the Naïve Bayes model produces an accuracy of 92.91%, while the positive precision value is 81.33%, and the negative precision is 100%. Meanwhile, the SVM (Support Vector Machine) model provided more optimal results with an accuracy of 97.97%, a positive precision of 96.72%, a negative precision of 98.53%, and a positive recall of 96.72% and a negative recall of 98.53%. Based on these results, it can be concluded that the SVM algorithm performed better in analyzing public opinion regarding the coach's dismissal issue. This research is expected to contribute as a reference data-based public opinion monitoring system for more transparent public policymaking.

Co-Authors Abdillah, Gipari Pradina Abdul Hafidz Abdul Shomad Abdullah Al Faruq Adawiyah, Rizky Adi Riswan Afriandika, Riko Agung Pratama Agung Pratama Agung Rizki Zamzami Agung Saputra Agus Sigit Sumarsono Ahmad Bustomi Zuhari Ahmad Bustomi Zuhari Ahmad Bustomi Zuhri Ahmad Saepudin Ahmad Saepudin Ahmad Zulfikar Aidil Rizki Hidayat Aimar, Muqorrobin Aji Aji Dwi Prasetyo Aji Suswantoro Akbar, Yuma Akbarulloh, Feri Akhsani, Ziyat Akmal, Roid Adip Akmaludin Akmaludin Al Ammar, Muhammad Farros Alannuari, Fiky Albahy, Abdurrahman A. Aldi Sitohang Alfiani Damaiyanti AlfianiDamaiyanti Ali Akbar Ali Akbar Ali Akbar Ali Muhammad Faadhil Ali Yafi Zulkarnain Alifah, Rifdah Aloisius Awang Hariman Amat Solihin Amrullah, Aziz Septian Andi Anto Diarjo Andriyana Fajar Andy Manuel Prima Angga Tristhanaya Anggit Purnama Anggraeni, Eka Anisah Wulandari Apian Candra Aditya Ardana, Tegar Rizky Ardiyansyah, Ferry Ari Ramadhan Ari Surya Jaya Ari Surya Jaya Aribatullah Arief Sofyan Arief, Yoga Sofyan Arinal, Veri Aris Sufriman Arisenja, Ni Luh Bumi Arpinda Arpinda Asep Maulana Asep Ovid Afidin Asep Ovid Afidin Aswad, Hazrul Asyrofie, Maulana Azhar Atik Budi Paryanti Awaludin Awaludin Awaludin Awaludin, Awaludin Ayu Saputry, Yulia Yanti Aziz Septian Amrullah Aziz Septian Amrullah Azzahra, Salma Latifa B, Muhamad Hasbi Toharudin Banase, Samuel Figo Bashir, Ade Abdul Bela Dina Betty Yel, Mesra Bintoro, Bayu C.Afif Firas Cahyana, Adella Fitriany Calvin Bill Roring Candra Milad Ridha Eislam Choirul Huda Debby Ramadhina Salsabilla Dedi Gunawan Dedi Gunawan Dedi Iskandar Dedi Iskandar Dedi Iskandar Deny Saputra Dewi Riyanti Wibowo Dewi Riyanti Wibowo Dheo Hanif Pristian Dhiva Andini Putri Alinur Diana Barsasella Dita Yuliana Donaldo, Evan Dwi Lestari Edi Edi Eka Anggraeni Eka Maheswara Eka Okta Putri Sulaiman Eka Okta Putri Sulaiman Eka Putri Aprillia Eka Satria Maheswara Eka Satria Maheswara Ependi, Soleh Erno Sumantri F, Joe Renaldy Fadhil Khanifan Achmad Fadhil, Ali Muhammad Fadillah, Fauzan Fadlan, Muhammad Fahmi Nurul Huda Faisal Akbar Faisal Akbar Faisal Akbar Nasution Faizal Joko Perwitosari Fajar, Andriyana Farida Indah Riantini Fatchur Rochman Fatonah FauzI Ramdhani Feni Citra Dewi Feri Akbarulloh Fernanda Adhipramana Ferry Fajar Pratama FikriYadi FikriYadi Fiktor Kurnia Tofano Fiktor Kurnia Tofano Fiky Alannuari Firas, C.Afif Firhan Ali Franido, Richard Fransiscus Rolanda Malau Fransiscus Rolanda Malau Galih Satria Yacob Genisa, Lenggo Ghofurur Nawangsah Gilang Ramadhan Gilang Ramadhan Gipari Pradina Abdillah Gusniar Alfian Noor Gusniar Alfian Noor Handrianus Saldu Herdiyansyah Hartanto Herdiyansyah herdi Hartanto Hermawan Susanto Hidayat, Aditya Zakaria Hidayat, Nurhikmah Hudhoifah, Maula Abi Hudzaifah, Salim Maula Ikha Novie Tri Lestari Ikha Novie Tri Lestari Ikhsan Ikhsan Ikhwanul Kurnia Rahman Ilham Wahyudi Imam Khoeri Imantara, Alaqsha Gilang Indah Rosmalina Irbah Baihaqi Irbah Baihaqi Irfan Maulana Irfan Maulana, Irfan Istianah Istianah Istianah Jaya, Ari Surya Jaya, Rudi Tri Jodi Juliansah Joharuddin Zakaria, M Ohan Julinar Sari Hutagalung Kastum Kastum Kastum Kastum, Kastum Kemal Adnan Khanif, Abror Kolbia, Ummi Kurniawan Irfan Nauval Lerry Salasi Saptan Lintang Purnama Lintang Purnama Lorinda, Destiar Lubis, Yunita T Lutfianti, Nesti M Ainur Rofik M Ainur Rofik M Ilham Setya Aji M Ohan Joharuddin Zakaria M. Ohan Zakaria Mafazi, Luthfillah Maharanisa Maharanisa Maharanisa, Maharanisa Mainia Mayasari Marjuki Marjuki Marjuki Matheos Sarimolle, Frencis Maulana Putra Hertaryawan, Ryfan Melani Afsari Miftahul Huda Miftahul Ulum Miftahul Ulum Milli Ruswandi Mirsandi Muhamad Fikri Nugraha Muhamad Ikbal Muhamad Zaeni Nadip Muhammad Abdul Aziz Abyan Muhammad Adri Ramadhan Muhammad Adri Ramadhan Muhammad Arfan Irsyad Rowis Muhammad Arfan Irsyad Rowis Muhammad Arib Umar Sadid Muhammad Azhari Muhammad Dzaky Rahmanto Muhammad Dzaky Rahmanto Muhammad Faizal Lazuardi Muhammad Faizal Lazuardi Muhammad Fakhri Pratama Muhammad Furqan Muhammad Hafiz Siregar Muhammad Jauhar Ruliansyah Muhammad Khalid Muhammad Rifqi Syatria Muhammad Rival Muhammad Rizki Muhammad Syahrul Fattah Ramadhan Muhammad Umar Hamidi Yusuf Muhammad Zaenuddin Muhammad Zikri Muhammad Zikri Muklas Adik Putra Muklas Adik Putra Mutia Ramadhan Naini Saadah Naini Sa’adah Nana NANA NANA Nana, Nana Nandy Dinilhaq Naufal Aziz Nauval, Kurniawan Irfan Nesti Lutfianti Nimas Galuh Pramuditasari Noor, Gusniar Alfian Notonegoro, Danendra Satriyohadi Noviyanti, Irma Nugroho, Kurniawan Setyo Nunung Parawati Nuradi, Fahmi Nurfaishal, Muhammad Dzaky Nurrohman, Awaludin Taufiq Oka Prasetiyo Okta Saputra Oky Tria Saputra Paramida, Feti Paryanti, Atik Budi Pramansah, Vika Vitaloka Pramuditasari, Nimas Galuh Pratama, Ferry Fajar Pratiwi, Tiyas Aria Pristian, Dheo Hanif Putra, Guruh Taruno Putra, Mohammad Royger Febriansyah Putra, Reyga Ferdiansyah Putri Amira Sumitro Putri Nugraheni Utami Putri, Atsilah Daini Putro, Faris Widianto Radikto, Radikto Raga Permana Rahmani, Husain Rahmanto, Muhammad Dzaky Raihan Putra M Rosidi Ramadan, Anggi Rasiban Reyga Ferdiansyah Putra Reza Gustrianda Reza Wanandi Richard Franido Richardviki Beay Richardviki Beay Rifky Aldiansyah Riki Maulana Fauzi Riko Afriandika Riswan, Adi Rival, Muhammad Riza Hidayat Riza Hidayat, Riza Rizky Adawiyah Rodhi Shafia Zaidan Rofik, M Ainur Roring, Calvin Bill Rowis, Muhammad Arfan Irsyad Runi Amanda Amalia Ruswandi, Milli Sadid, Muhammad Arib Umar Sadid, Muhammad Umar Arib Sahroni sahroni Sahrul Hidayat Saifullah Ahmad Yasin Samuel Figo Banase Santi Ferawati Saputra, Mochammed Erryandra Saputri, Rosalina Saragih, Silvanus Sarimole, Frencis Matheos Sartika Mala Seli Amelia Senika, Anis Sentosa, Edwin Septiani, Novi Setiawan, Itca Bagus Setya Putra Adenugraha Shakila Shila Wati Silfia, Titi Siregar, Ikhsan Abror Siregar, Mora Hakim Siregar, Muhammad Hafiz Siti Nurhaliza Siti Raysyah Slamet Riyadi Sodik Sofia, Agiah Soleh Ependi Sony Agustian Syah Sopan Adrianto SOPAN ADRIANTO SOPAN ADRIANTO SRI LESTARI Sri Lestari Sri Lestari Stefany Tarunajaya Stepanus, Stepanus Sugeng Sugeng Sugeng Sugeng Sugiyono Sugiyono Sumantri, Dyan Bagus Sumantri, Erno Sumarsono, Agus Sigit Sutisna Sutisna Sutisna Sutisna Sutisna Sutisna Sutisna Sutisna Suwandi Suwandi Syatria, Muhammad Rifqi Tarunajaya, Stefany Titi Silfia Tri Wahyuni Tristhanaya, Angga Tundo Tundo, Tundo Untung Wahyudi Vara Maulidyah Hidayah Vika Vitaloka Pramansah Wahyu Hidayat Wahyu Saputro Wahyu Saputro Wahyudi, Ahmad Arif Wicaksono, Bima Wieko Wieko Wulandari, Anisah Yacob, Galih Satria Yansen Yansen YkhSanur YkhSanur Yoni Maulana Yuliana Bachtiar Yuliana, Dita Yunita T Lubis Yusril Nurhadi AS Zaidan, Rodhi Shafia Zaky Rahman Hakim Zamzami, Agung Rizki Zidane, Ahmad Syahran Zoharuddin Zakaria, M Ohan

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