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All Journal HAYATI Journal of Biosciences Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Fitopatologi Indonesia Buletin Hama dan Penyakit Tumbuhan Jurnal Agrista JIK Jurnal Ilmu Komputer Microbiology Indonesia Jurnal Ilmu Komputer dan Agri-Informatika Teodolita: Media Komunikasi Ilmiah di Bidang teknik Seminar Nasional Informatika (SEMNASIF) Jurnal Perlindungan Tanaman Indonesia Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah Universitas Batanghari Jambi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Informatika Universitas Pamulang Eduscience : Jurnal Ilmu Pendidikan Jurnal Pengabdian Masyarakat AbdiMas Jiko (Jurnal Informatika dan komputer) Astonjadro IKRA-ITH ABDIMAS AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM JUTEKIN (Jurnal Manajemen Informatika) Simtek : Jurnal Sistem Informasi dan Teknik Komputer Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Generation Journal Scientific Journal of Informatics Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer System and Informatics (JoSYC) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) International Journal Of Science, Technology & Management (IJSTM) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Teknologi dan Sistem Tertanam Jurnal Sosial dan Teknologi Devotion: Journal of Research and Community Service Jurnal Minfo Polgan (JMP) Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Journal of Social Research Ilmu Komputer untuk Masyarakat Jurnal Locus Penelitian dan Pengabdian IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Eduvest - Journal of Universal Studies Innovative: Journal Of Social Science Research Media Abdimas Jurnal penelitian jalan dan Jembatan Journal of Innovative and Creativity Asian Journal of Social and Humanities Jurnal Ilmu Ekonomi, Pendidikan dan Teknik (IDENTIK) IPSSJ Dinasti Information and Technology Jurnal Pengabdian kepada MASyarakat (J-PMAS) Innovative Research in Civil and Environmental Engineering (IRCEE) Global Insights in Management and Economic Research
Budi Tjahjono
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Sistem Monitoring Sensor Udara Berbasis Arduino dengan Menggunakan Telegram Visal Mohammad Rizki; Agus Herwanto; Budi Tjahjono; Bambang Irawan
Jurnal Informatika Universitas Pamulang Vol 10 No 3 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jiup.v10i3.53436

Abstract

This study aims to design and implement an Arduino Uno and NodeMCU ESP8266-based air quality monitoring system integrated with Telegram as an Internet of Things (IoT)-based automatic notification medium. This system uses MQ-7, MQ-135, and MG811 sensors to detect CO, CO₂, and other air pollutants. The research method is descriptive quantitative with testing at two locations with different activity levels, namely (1) Lebak Bulus Terminal (heavy traffic) and (2) Jl. H. Midar Pondok Pinang (low activity). The results show that CO levels reached 120 PPM at Lebak Bulus Terminal in the afternoon, which is categorized as “unhealthy” based on the Air Pollutant Standard Index (ISPU). The system was able to detect differences between clean and polluted air with 97% accuracy, a response time of 2.3 seconds, and a 98% notification success rate via Telegram. These results indicate that the system operates in real-time, efficiently, and is easily accessible, while also increasing public awareness of air quality and mitigating health risks due to pollution.
IMPLEMENTATION BLOCKCHAIN IN MOBILE APPLICATIONS SEMINAR ON E-CERTIFICATE VERIFICATION USING SMART CONTRACTS Sahri Ramadan; Sawali Wahyu; Budi Tjahjono; Riya Widayanti
JIKO (Jurnal Informatika dan Komputer) Vol 9 No 1 (2026)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v9i1.11356

Abstract

The increasing adoption of electronic certificates in academic and professional environments raises critical challenges related to authenticity, data integrity, and verification reliability. Conventional certificate management systems commonly rely on centralized architectures and manual validation procedures, which are vulnerable to manipulation, duplication, and single points of failure (SPoF). This study proposes a blockchain-based electronic certificate verification system implemented on a private Hyperledger Fabric network using smart contracts. The system records certificate verification metadata on a distributed ledger to ensure integrity and traceability while maintaining storage efficiency. Smart contracts automate the issuance and validation lifecycle, enabling transparent and tamper-resistant certificate management. The verification process is conducted by comparing document authentication data with records stored on the blockchain. Experimental evaluation demonstrates that the proposed system can accurately identify document alterations and consistently distinguish between valid and invalid certificates. The results indicate that the integration of blockchain and smart contracts as an active validation mechanism enhances transparency, reduces dependence on centralized authorities, and improves trust in mobile-based digital credential systems. Therefore, the proposed approach provides a secure and reliable framework for electronic certificate verification in academic environments.
WEB-BASED FACIAL SKIN TYPE CLASSIFICATION SYSTEM BASED ON BAUMANN'S THEORY Budi Tjahjono; Dian Fajar Septianto; Gerry Firmansyah; Yulhendri; Suhatati Tjandra
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.5724

Abstract

The skin is a crucial organ in the human body, serving not only as the primary protective barrier but also exhibiting diverse characteristics such as specific types and conditions. Increasingly, people are recognizing the importance of skin care in their daily routines. However, a lack of understanding about different skin types and appropriate skin care products can pose challenges. This research aims to develop a facial skin type classification system based on the existing system. The development of this facial skin type classification system refers to Baumann's Theory, which categorizes skin into four characteristics: Hydration, Sensitivity, Pigmentation, and Aging. The system was developed using the Waterfall methodology and tested using Black Box Testing. The results of Black Box Testing demonstrate that the system functions well and meets the specified requirements. All features and functionalities operate optimally without significant bugs, indicating the success of the Waterfall approach in producing a reliable and ready-to-use system. This system is expected to assist users in accurately identifying their skin type and receiving appropriate skincare solutions, thereby improving the health and appearance of their facial skin.
Digital Marketing Innovation for MSMEs through ChatGPT Integration and Management Information Systems: A Technological Transformation Approach for Competitive Advantage Susilowati Ningsih; Budi Tjahjono
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13924

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a significant role in Indonesia's economy. However, with technological advancements and changing consumer trends, MSMEs face substantial challenges in maintaining and enhancing their competitiveness. The development of digital technology is an imperative that cannot be ignored if MSMEs are to remain relevant and competitive in the modern era. This research examines how the integration of ChatGPT and Management Information Systems (MIS) can positively impact the digital marketing of MSMEs and how these enterprises can leverage this technology to enhance their competitiveness. This study employs a literature review method with a qualitative approach. Data were obtained from Google Scholar covering the period from 2014 to 2024. The results indicate that digitalization, through the implementation of technologies such as ChatGPT and Management Information Systems, significantly impacts MSMEs by enhancing their competitiveness. Integrating ChatGPT with MIS not only improves operational efficiency but also enriches customer experience through more responsive and personalized services. Case studies from companies like Tokopedia, Zalora, and Kopi Kenangan demonstrate that adopting digital technology can expand market reach, increase sales, and improve stock management. However, challenges such as infrastructure limitations and the need for staff training must be addressed to ensure successful technology adoption. The long-term success of digital technology highlights the importance of sustainable investment and adaptation to evolving market trends.
Pengembangan E-Learning Berbasis PWA pada TPA Masjid Arraudhah dengan Pendekatan Koneksi Terbatas Rafi Samir Suradijaya; Yulhendri Yulhendri; Budi Tjahjono; Popong Setiawati
Jurnal Minfo Polgan Vol. 15 No. 1 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i1.16169

Abstract

Masalah utama dalam pembelajaran daring di Taman Pendidikan Al-Qur'an (TPA) Masjid Arraudhah adalah infrastruktur internet, dengan hasil pengujian rata-rata hanya 1,2 Mbps. Kondisi jaringan yang tidak stabil dan tidak dapat diandalkan ini memengaruhi penyebaran materi digital serta mengurangi efektivitas pembelajaran mandiri. Tujuan dari penelitian ini adalah untuk mengembangkan sistem e-learning berbasis Progressive Web Apps (PWA) yang dioptimalkan untuk kondisi internet saat ini melalui pengembangan offline-first. Metode pengembangan yang digunakan adalah prototyping, yang meliputi analisis kebutuhan, pembuatan prototipe, implementasi, evaluasi, dan perbaikan sistem berdasarkan umpan balik pengguna. Sistem yang sedang dikembangkan memiliki fitur untuk mengelola materi pendidikan seperti video dan PDF, pengelolaan tugas, serta ujian akhir (UAS) dengan penilaian otomatis berdasarkan aturan. Teknologi PWA diimplementasikan melalui mekanisme caching menggunakan Service Worker dan Web App Manifest untuk meningkatkan akses luring (offline) ke konten yang sebelumnya diakses. Hasil penggunaan Google Lighthouse menunjukkan kualitas aplikasi yang sangat baik dengan skor 90 untuk aksesibilitas, 100 untuk praktik terbaik, dan 100 untuk SEO. Selain itu, sistem ini mampu memastikan kelancaran akses materi saat koneksi terputus dan secara otomatis menyinkronkan data jawaban ujian ketika koneksi kembali tersedia. Dengan demikian, e-learning berbasis PWA merupakan solusi teknologi yang efektif dan fleksibel untuk mendukung transformasi digital dalam pendidikan nonformal yang dilengkapi dengan infrastruktur jaringan.
Peran Knowledge Governance dalam Meningkatkan Kinerja Organisasi Willy Yoni; Stephanie Sharapova Sihaloho; Budi Tjahjono; Sasongko Ditahismoyo; Jauhar Maknun Adib
Dinasti Information and Technology Vol. 3 No. 4 (2026): Dinasti Information and Technology (April - June 2026)
Publisher : Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dit.v3i4.3436

Abstract

Penelitian ini bertujuan untuk menganalisis peran knowledge governance dalam meningkatkan kinerja organisasi. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan metode studi literatur melalui pengumpulan data dari berbagai jurnal, buku, dan penelitian terdahulu yang relevan dengan knowledge governance dan kinerja organisasi. Hasil penelitian menunjukkan bahwa penerapan knowledge governance mampu membantu organisasi dalam mengelola, menyimpan, dan mendistribusikan pengetahuan secara efektif sehingga dapat meningkatkan produktivitas, kualitas pengambilan keputusan, inovasi, serta efektivitas kerja organisasi. Penerapan knowledge governance juga didukung oleh budaya berbagi pengetahuan, pemanfaatan teknologi informasi, dan kolaborasi antaranggota organisasi. Selain memberikan dampak positif terhadap kinerja organisasi, penerapan knowledge governance masih menghadapi berbagai hambatan seperti keterbatasan teknologi, kurangnya dukungan organisasi, perbedaan pemahaman sumber daya manusia, dan belum optimalnya budaya berbagi pengetahuan. Upaya peningkatan knowledge governance dapat dilakukan melalui pengembangan teknologi informasi, peningkatan kompetensi sumber daya manusia, penguatan budaya organisasi, serta dukungan kepemimpinan yang berkelanjutan. Penerapan knowledge governance yang efektif dapat membantu organisasi meningkatkan daya saing dan mencapai tujuan organisasi secara optimal.
RANCANGAN MODEL ASISTEN VIRTUAL BERBASIS RETRIEVAL-AUGMENTED GENERATION UNTUK MENDUKUNG PEMBELAJARAN MAHASISWA DI PERGURUAN TINGGI Jumar; Farhan Mahendra; Raul Mahya Komaran; Shaffira Vulkanietta Lusiana; Budi Tjahjono
Jurnal Ilmiah Informatika Vol. 11 No. 1 (2026): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/.v11i1.9596

Abstract

Pemanfaatan kecerdasan buatan generatif di perguruan tinggi semakin dekat dengan aktivitas belajar mahasiswa, terutama ketika mahasiswa membutuhkan penjelasan tambahan, bahan pendukung, atau arahan awal dalam memahami materi. Di sisi lain, pemanfaatan AI generatif masih menimbulkan persoalan terkait akurasi jawaban, keterlacakan sumber, integritas akademik, dan kecenderungan mahasiswa menerima jawaban secara instan tanpa proses telaah yang memadai. Artikel ini bertujuan merumuskan rancangan model asisten virtual berbasis Retrieval-Augmented Generation (RAG) sebagai pendamping belajar mahasiswa di perguruan tinggi. Metode yang digunakan adalah kajian konseptual melalui studi pustaka dan perancangan model sistem. Literatur yang ditelaah mencakup chatbot pendidikan, RAG, generative AI di pendidikan tinggi, AI dalam pembelajaran pemrograman, serta isu etika penggunaan AI. Model yang diusulkan mencakup pengelolaan dokumen pembelajaran, prapemrosesan, chunking, embedding, basis data vektor, retrieval, konstruksi prompt, generasi jawaban, dan evaluasi respons. Hasil kajian menunjukkan bahwa RAG berpotensi memberi jawaban yang lebih kontekstual karena respons diarahkan pada dokumen akademik yang telah ditentukan. Kontribusi artikel ini berupa rancangan konseptual, alur pemanfaatan, serta indikator evaluasi yang dapat dijadikan dasar pengembangan prototipe asisten virtual pembelajaran secara lebih terukur.
PREDIKSI CLICK-TROUGH RATE PADA IKLAN DIGITAL MENGGUNAKAN DEEP LEARNING DAN MACHINE LEARNING: STUDI KOMPARATIF XGBOOST, DNN, DAN LOGISTIC REGRESSION Mohamad Farhan Almeida; Budi Tjahjono
Integrative Perspectives of Social and Science Journal Vol. 3 No. 06 Juni (2026): Integrative Perspectives of Social and Science Journal
Publisher : PT Wahana Global Education

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

Abstract

Perkembangan teknologi digital telah mengubah lanskap periklanan secara global. Industri iklan digital terus mengalami pertumbuhan signifikan dan menjadi channel utama alokasi budget marketing di berbagai industri. Platform seperti Google Ads, Meta Ads, dan programmatic advertising menjadi pilihan utama advertiser di seluruh dunia untuk menjangkau target audience. Penelitian kuantitatif eksperimental ini bertujuan mengembangkan model prediksi CTR berbasis Deep Neural Network (DNN) menggunakan Dataset Kaggle guna mengatasi keterbatasan metode konvensional dalam menangkap interaksi fitur high-dimensional dan sparse. Metodologi penelitian mencakup tahap preprocessing detail melalui embedding layers untuk fitur kategorikal, dilanjutkan dengan pelatihan model dan evaluasi komparatif. Hasil eksperimen menunjukkan bahwa model XGBoost mencapai performa terbaik dengan AUC 0.7446, F1-Score 0.4127, dan Precision 28.67%, melampaui Deep Neural Network simplified (AUC 0.6462, F1-Score 0.3470, Precision 23.21%) dan Logistic Regression baseline (AUC 0.5706, F1-Score 0.2967, Precision 19.20%). Temuan ini mengindikasikan bahwa untuk dataset dengan CTR tinggi (16.97%) dan preprocessing flat encoding, tree-based ensemble models memberikan trade-off optimal antara akurasi prediksi dan efisiensi komputasi. DNN simplified tanpa embedding layers sophisticated belum memanfaatkan kekuatan deep learning secara maksimal untuk menangani high-cardinality categorical features, membuka peluang penelitian lanjutan dengan arsitektur embedding-based yang lebih advanced dan integrasi mekanisme attention untuk meningkatkan performa di masa mendatang.
Rancang Bangun Sistem Kontrol Suhu Berbasis Internet Of Things (IoT) untuk Efisiensi Energi Pendingin Ruangan Menggunakan Metode Prototype Fiqar Haytsam Muhammad Dzul Qornain; Budi Tjahjono; Gerry Firmansyah; Muhamad Hadi Arfian
Jurnal Sosial Teknologi Vol. 6 No. 1 (2026): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v6i1.32651

Abstract

This research presents a low-cost automatic Air Conditioner (AC) control system designed to improve energy efficiency and thermal comfort. The system utilizes an ESP 8266 microcontroller, a DHT22 sensor to monitor temperature, and a Passive Infrared (PIR) sensor to detect human presence. It is integrated with the Blynk app for real-time monitoring of temperature and AC status. The system operates based on a control logic that activates the AC only when the room is hot and occupied, adjusting its intensity depending on activity levels. The research follows the prototyping model, using the IRac.h library for managing AC communication protocols. Functional testing in six different scenarios confirms that the system operates effectively, turning the AC on only when needed and shutting it off when the room is empty or the target temperature is reached. The proposed prototype successfully automates conventional AC systems, improving both energy efficiency and user comfort.
Churn Prediction Analysis Of Customer Ferry Operator "Batamfast" Using Machine Learn-Ing With Supervised Classification Model Ryan Tri Pamungkas; Nenden Siti Fatonah; Gerry Firmansyah; Budi Tjahjono
Eduvest - Journal of Universal Studies Vol. 5 No. 1 (2025): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i1.1669

Abstract

BatamFast is the first ferry operator in Batam and has been serving international routes to Singapore and Malaysia since 1985. Until 2010, BatamFast was the only ferry operator in Batam. However, since 2011, competitors such as Sindo Ferry, Horizon Ferry, and Majestic have emerged, increasing competition to four ferry operators in Batam by 2024. This study aims to measure the churn rate of BatamFast customers and identify the factors causing it using machine learning prediction models such as Random Forest, XGBoost, and Gradient Boosting. In addition to churn prediction, feature importance analysis was conducted to determine the significant features influencing customer decisions. The results indicate that XGBoost is the best model compared to Random Forest and Gradient Boosting. Key factors for churn are customer category, payment method, and booking mode. These findings are expected to help BatamFast reduce churn, improve customer satisfaction, and strengthen its competitive position in the international ferry market.
Co-Authors A.A. Ketut Agung Cahyawan W Adhi Fernandes Gamaliel Adhy, Dewanto Rosian Adigunawan, Adigunawan Adilah Widiasti Aep Saepudin Ahmad Mutedi Aji Setiawan Akbar, Habibullah Alami, Tegar Alex Hartana Alexander Alexander, Alexander ALINA AKHDIYA RUSMANA Alivia Yufitri Andi Khaeruni Andi Khaeruni Andriana, Dian Angga VB Annazma Ghazalba Antonius Suwanto Anugerah Cahyo Adhi Ardiansyah, Miri Arif Pami Setiaji Aris Tri Wahyudi Arniansyah, Arniansyah Ary Prabowo Asmara, Qiqi Asniwita Asniwita Azzam Robbani, Muhammad Baby Anjeli Basyarewan, Humairoh Bayu Sulistiyanto Ipung Sutejo Binastya Anggara Sekti Budi Aribowo Budilaksono, Sularso Catur Agus Sulistyo Dadang Hermawan Dafa Rizqi, Herin Daniel Hutajulu Dede Setiadi Deni Teras Dermawan Zebua Dewi Irma Afriayanti Dewi Marini Diah Aryani, Diah Dian Fajar Septianto Dian Fajar Septianto Djunaedi, Bagas Donny Dwy Judianto Leihitu Dwi Guntoro Dyah Kusuma Anggraini Edi Kartawijaya EDWARD ENDRIANTO Eliza S. Rusli Erry Yudhya Mulyani Euis Heryati Evans, Richard Faiz Fauzan Muhajir Farhan Mahendra Fatonah, Nenden Siti Faujiatul Aulia Fauzia, Yunita Febrianto, Haris Fernandes Gamaliel, Adhi Fiqar Haytsam Muhammad Dzul Qornain Firdaus, M. Dzulfiqar Fitriyani Fitriyani Fuad, Ahmad Gerry Firmansyah Gerry Firmansyah Gerry Firmasyah Ghazalba, Annazma Gilang, Destian Gunawan, Sholeh Gusti Fachman Pramudi Hairuduin * HAJRIAL ASWIDINNOOR Haryoto, Iin Sahuri Hemiltin Adilah Hendaryatna Hendaryatna Hendry Gunawawan Hermansyah Hermansyah Hermansyah Hermanto, Hermanto Hermawan, Deky Herwanto, Agus Hung Fei Ichwani, Arief Irawan, Bambang Irdika Mansur Irsyadul Anam, Reza ISKANDAR ZULKARNAEN SIREGAR Ismiyati Meiharsiwi Jabar, Ajib Abdul Jauhar Maknun Adib Jefry Sunupurwa Asri Joniwan Joniwan Juliana Juliana Julianto, Eric Jumar kartini, kartini Khairurrahman, Rifqi Kikin H Mutaqin Klaski Putri, Krisanti Kundang Karsono Kundang Karsono Kundang Karsono Juman Kundang Karsono Juman Kurnia, Ravie Kusuma, Mahesa Adi Kusumah, Yayi Munara Laksono Trisnantoro Leihitu, Donny Dwy Judianto Lili Hastuti Lisdar Idwan Sudirman Lisdiana Lisdiana Lisdiana Lisdiana Luthfie Aldino Ismail M. A. Chozin Made Aka Suardana Maemonah, Maemonah Malabay Malabay Martin Saputra Marzuki Pilliang Meiharsiwi, Ismiyati Meity S. Sinaga MEITY SURADJI SINAGA Meria, Lista Millah, Shofiyul Mita, Vira Mohamad Farhan Almeida Muhamad Rifqi Hidayat Muhammad Abdullah Hadi Muhammad Abdullah Hadi Muhammad Azzam Robbani Muhammad Bagaskara Muhammad Fajrul Aslim Muhammad Hadi Arfian Muhammad Rafli Islamy Muhtadi, Yudi Muksin, Andreanata Pradifta Munawar Munawar, Badri Mutedi, Ahmad N Nurjannah, N Nurjannah Nabila, Efa Ayu Narul Sakron Nasihin, Anwar Nasution, Tegar Alami Nenden Siti Fatomah Niko Prasetyawan Aji Nila Rusiardi Jayanti Nina Nurhasanah, Nina Nindyo Artha Dewantara Wardhana Nixon Erzed Nizirwan Anwar Nugraha, William Nur Huda Huda Nur Widiyasono Nur Widiyasono, Nur PURNAMA HIDAYAT Purwano SK Putra, Sipky Jaya Putra, Yosua Tri Qur'ani, Isti R SITI RUKAYAH Rafi Samir Suradijaya Rasyid, Ainur Raul Mahya Komaran Restamauli br Nainggolan Reza Irsyadul Anam Rian Adi Pamungkas Ridwan, Ridwan Rifqi Khairurrahman Riris Septiana Sita Dewi Riya Widayanti Rizk, Muhamad Roesfiansjah Rasjidin Rohidin Rohidin, Rohidin Rosnanto, Imam RR. Ella Evrita Hestiandari Rudi Hermawan Rudi Hermawan Rudy Setiawan RUSMILAH SUSENO Rusnani * Ryan Putra Laksana Ryan Tri Pamungkas Sabaruddin, Satria Sabri Alim Saepudin Saepudin Sahri Ramadan Sakron, Narul Samingan Samingan Samuel Samuel Saputra, Tino SARASWATI, RIA Sasongko Ditahismoyo Sawali Wahyu Septian, Ferby Setiawan, Sony Setiawati, Popong Shaffira Vulkanietta Lusiana Shine Pintor Siolemba Patiro Sholeh Gunawan Siregar, Sarah Veronica Siti Fatomah, Nenden Sri H. Hidayat SRI HENDRASTUTI HIDAYAT Sri Husni Hidayati Stephanie Sharapova Sihaloho Sugeng Santoso Suhatati Tjandra Supriyade Supriyade Supriyade, Supriyade Suryahim, Iim Susilowati Ningsih Sutanto, Imam Tarigan, Masmur Tengku Riza Zarzani N Teras, Deni Trenggana Natadirja Tugiman Ulum, Muhamad Bahrul Ummanah Ummanah, Ummanah Visal Mohammad Rizki Vivaldi Raditya Putra Wahyu Sabiqudin, Muhammad Wardhana, Nindyo Artha Dewantara Wibowo, Yudha Widiasti, Adilah Widjonarko, Ari Widodo, Agung Mulyo Wijaya, Jacob S William Nugraha Willy Yoni Wisnu Ananta Kusuma Yessy Oktafriani Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri Yuliana Susanti Yuliati Yuliati