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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) AGRISAINS Tahkim (Jurnal Peradaban dan Hukum Islam) SAINSMAT Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Fisika Unand Seminar Nasional Informatika (SEMNASIF) PROtek : Jurnal Ilmiah Teknik Elektro Sistemasi: Jurnal Sistem Informasi AL QUDS : Jurnal Studi Alquran dan Hadis Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika SOSIOHUMANIKA SAMARAH: Jurnal Hukum Keluarga dan Hukum Islam Jurnal PAJAR (Pendidikan dan Pengajaran) Jurnal Mantik Penusa METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal CSRID (Computer Science Research and Its Development Journal) JISICOM (Journal of Information System, Infomatics and Computing) Indonesian Physical Review Jurnal Mantik Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Varian JMTS: Jurnal Mitra Teknik Sipil TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Budimas : Jurnal Pengabdian Masyarakat Al-Qadha: Jurnal Hukum Islam dan Perundang-Undangan Jurnal Bumigora Information Technology (BITe) Jurnal Teknimedia: Teknologi Informasi dan Multimedia International Journal of Engineering, Science and Information Technology Jurnal Manajemen Informatika Jayakarta ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Fundamental Justice Qisthosia Melek IT: Information Technology Journal Constitutionale International Journal of Electronics and Communications Systems Seminar Nasional Pengabdian Kepada Masyarakat Buletin GAW Bariri ( BGB) Journal of Engineering, Technology and Computing (JETCom) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Journal of Artificial Intelligence and Digital Business Khidmatuna: Jurnal Pengabdian Masyarakat IIJSE Journal of Innovative and Creativity Educational Journal of Learning Technology Scientific Journal of Informatics DIPANEGARA KOMPUTER TEKNOLOGI INFORMATIKA (DIPAKOMTI) aktivisme: Jurnal Ilmu Pendidikan, Politik dan Sosial Indonesia Alamtana Educompassion: Jurnal Integrasi Pendidikan Islam Dan Global Indonesian Journal of Innovation Multidisipliner Research Jurnal Sistem Komputer (SISKOM) Income : Digital Business Journal Prosiding Seminar Nasional CORISINDO Dialog Legal: Jurnal Syariah, Jurisprudensi dan Tata Negara Jurnal Pengabdian Masyarakat Indonesia
Husain Husain
Universitas Bumigora
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Pelatihan Pengelolaan Bahasa Iklan Media Sosial dalam Pemasaran Produk Desa Lembuak, Kecamatan Narmada Syafira Mahfuzi Ardiyati; Rahman Prasetyo; Stevany Hanalyna Dethan; Husain Husain; M. Najmu Fadli
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 3 No. 1 (2024): Februari : Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Publisher : Politeknik Pratama Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpmi.v3i1.3330

Abstract

The rapid development of technology is often used to promote products, especially small and medium enterprises or MSMEs. Social media is used to convey product information and help with marketing. However, often less attention is paid to the management of advertising language on social media. Clan language is needed to attract buyers' attention and convince buyers about the quality of the products offered by MSMEs. MSMEs in Lembuak District, Narmada were the choice for this training because many people are engaged in the MSME business. When promoting products, it was found that many people used monotonous sentences, so that income through online promotions was still lower than offline promotions.
Design and Implementation of a Music Bot and Its Impact on the Community of the Discord Server Slowly Hariadi, Fadli; Husain, Husain; Hammad, Rifqi
Journal of Engineering, Technology and Computing (JETCom) Vol. 4 No. 3 (2025): Journal of Engineering, Technology and Computing (JETCom)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/jetcom.v4i3.307

Abstract

This study aims to design, implement, and evaluate a music bot integrated into the Discord platform, as well as to analyze its impact on community interactions within the “Slowly” Discord server. The bot was developed using the Python programming language and the discord.py library, and tested through black-box testing to ensure the reliability of its core features such as play, pause, resume, skip, queue, and disconnect. The findings indicate that the bot operates stably and meets user expectations. In terms of usage, the bot contributes to increased interaction within the community. The average number of users in the voice channel increased from 1–3 to 4–7 users per day, while the average session duration grew from 2–3 hours to 3–5 hours. Furthermore, during one week of observation, a total of 58 songs were played, demonstrating that the bot not only serves as an entertainment tool but also strengthens social engagement within the community. This study recommends further development including the addition of comprehensive documentation (help command), performance optimization to reduce delays, periodic evaluation of user needs, and migration to cloud hosting services to ensure system availability. Thus, the Discord music bot has the potential to become an integral part of enhancing social interaction and user experience in online communities
Kajian Etika dan Hukum Siber dalam Pemanfaatan Artificial Intelligence di Indonesia Husain, Husain; Rahmatyar, Ana; Sakti, Lanang; Rosikhu, Muhammad; Efendi, Saparudin; Alfurqan, Imam
Jurnal Fundamental Justice Vol. 7 No. 1 (2026): Maret 2026
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/fundamental.v7i1.6093

Abstract

Perkembangan Artificial Intelligence (AI) di Indonesia menunjukkan percepatan signifikan, namun menghadirkan tantangan kompleks pada aspek etika dan hukum siber. Penelitian ini bertujuan untuk menganalisis isu etika dan aspek hukum siber dalam implementasi AI di Indonesia dengan fokus pada perlindungan hak individu dan kepastian hukum. Masalah utama yang dikaji adalah adanya ambiguitas penalaran hukum terkait status AI sebagai subjek hukum serta pertanggungjawaban pidana maupun perdata atas keputusan otomatis yang dihasilkan algoritma. Metode penelitian menggunakan pendekatan yuridis-normatif melalui penelaahan Undang-Undang Informasi dan Transaksi Elektronik (UU ITE), Undang-Undang Perlindungan Data Pribadi (UU PDP), serta komparasi terhadap instrumen hukum internasional. Hasil penelitian menunjukkan bahwa meskipun Indonesia memiliki instrumen hukum dasar, terdapat kekosongan norma (legal gap) dalam mengatur akuntabilitas spesifik pengembang sistem AI otonom. Oleh karena itu, diperlukan rekonstruksi kebijakan serta penguatan kerangka hukum siber yang adaptif melalui regulasi lex specialis. Penerapan prinsip etika seperti transparansi dan keadilan algoritmik menjadi fundamental untuk memastikan kepastian hukum bagi PSE dan pengguna. Kajian ini memberikan rekomendasi konkret bagi pembuat kebijakan dalam merumuskan regulasi nasional AI yang komprehensif di Indonesia 
Implementasi Teknologi Informasi Dan Komunikasi Bagi Pelaku Industri Rumahan di Kota Mataram Santoso, Heroe; Rosanensi, Melati; Azhar, Raisul; Husain, Husain; Suriyati, Suriyati; Dharma, I Made Yadi; Widyawati, Lilik; Alfiansyah, Muhamad Wisnu
Alamtana: Jurnal Pengabdian Masyarakat UNW Mataram Vol 7 No 1 (2026): Edisi Mei 2026
Publisher : LPPM UNIVERSITAS NAHDLATUL WATHAN MATARAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jaltn.v7i1.2806

Abstract

Perkembangan Teknologi Informasi dan Komunikasi (TIK) memberikan peluang besar bagi pelaku industri rumahan untuk meningkatkan daya saing dan memperluas pasar. Namun, sebagian besar pelaku usaha masih menghadapi kendala dalam pemanfaatan teknologi, seperti keterbatasan literasi digital, kurangnya pemahaman pemasaran online, serta belum optimalnya pengelolaan administrasi berbasis digital. Kondisi ini menghambat pertumbuhan usaha dan adaptasi terhadap era digital. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan pelaku industri rumahan dalam memanfaatkan TIK guna mendukung proses produksi, pemasaran, dan pengelolaan usaha. Program ini juga diarahkan untuk mendorong transformasi digital sederhana yang sesuai dengan kebutuhan dan kapasitas mitra. Metode pelaksanaan meliputi identifikasi kebutuhan melalui observasi, penyusunan materi pelatihan, pelaksanaan workshop berbasis praktik langsung, serta pendampingan implementasi. Materi yang diberikan mencakup penggunaan media sosial sebagai sarana promosi, pemanfaatan marketplace, serta penggunaan aplikasi pencatatan keuangan digital. Evaluasi dilakukan melalui pre-test dan post-test serta monitoring perkembangan usaha setelah pendampingan. Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan keterampilan peserta dalam menggunakan TIK. Pelaku industri rumahan mulai menerapkan pemasaran digital dan pencatatan keuangan berbasis aplikasi, yang berdampak pada peningkatan jangkauan pasar, efisiensi operasional, dan potensi peningkatan pendapatan. Dengan demikian, implementasi pemanfaatan TIK terbukti efektif dalam mendukung pengembangan dan keberlanjutan industri rumahan di era digital.
Implementasi Software-Defined Networking Load Balancing Menggunakan Openflow Untuk Optimasi Traffic Jaringan Elna Purnamayanti; Husain Husain; Khairan Marzuki
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.8432

Abstract

Perkembangan teknologi jaringan komputer yang semakin pesat menyebabkan kebutuhan terhadap jaringan dengan performa tinggi, stabil, dan adaptif menjadi semakin penting. Peningkatan penggunaan layanan berbasis cloud computing, video streaming, Internet of Things (IoT), dan aplikasi real-time menyebabkan trafik jaringan menjadi lebih kompleks dan dinamis. Permasalahan yang sering terjadi pada jaringan konvensional adalah ketidakseimbangan distribusi trafik yang dapat mengakibatkan bottleneck, meningkatnya latency, menurunnya throughput, serta tidak optimalnya pemanfaatan sumber daya jaringan. Software Defined Networking (SDN) hadir sebagai solusi dengan memisahkan control plane dan data plane sehingga pengelolaan jaringan dapat dilakukan secara terpusat dan fleksibel melalui controller. Penelitian ini bertujuan untuk menganalisis dan mengevaluasi kinerja jaringan SDN sebelum dan sesudah penerapan load balancing berbasis OpenFlow. Metode penelitian yang digunakan adalah eksperimen dengan membangun simulasi jaringan menggunakan Mininet dan controller Ryu berbasis OpenFlow 1.3. Pengujian dilakukan pada dua kondisi, yaitu jaringan tanpa load balancing dan jaringan dengan load balancing menggunakan algoritma Round Robin, Least Connection, dan Traffic Aware. Parameter kinerja yang dianalisis meliputi throughput, latency, RTT, bandwidth, jitter, packet loss, dan error rate. Hasil penelitian menunjukkan bahwa penerapan load balancing mampu meningkatkan performa jaringan secara signifikan, terutama pada algoritma Traffic Aware yang memberikan distribusi trafik lebih optimal berdasarkan kondisi jaringan secara real-time. Dengan demikian, implementasi SDN dan load balancing berbasis OpenFlow efektif dalam meningkatkan kualitas layanan jaringan dan optimasi trafik jaringan.
Enhancing support vector machine performance using particle swarm optimization for sentiment analysis Christofer Satria; Anthony Anggrawan; Peter Wijaya Sugijanto; Husain Husain; I Nyoman Yoga Sumadewa; Victoria Cynthia Rebecca
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i2.pp523-534

Abstract

Recently, social media has established itself as a leading platform in various sectors. Meanwhile, text extraction and sentiment analysis classification have attracted significant attention in research. Regrettably, traditional sentiment analysis often falls short of accurately capturing sentiment nuances. At the same time, machine learning has enabled more effective sentiment analysis, data mining, and classification, as well as the development of models that incorporate artificial intelligence. Therefore, the purpose of this study is to optimize sentiment analysis of public opinion in social media regarding Grand Prix motorcycle racing (MotoGP) and World Superbike (WSBK) events using machine learning and an optimized machine learning method. This study applies the support vector machine (SVM) machine learning method and enhances its performance through optimization by integrating it with the particle swarm optimization (PSO) algorithm. This study found that the SVM method achieved 80.15% accuracy, 75.63% recall, and 76.89% F1-score. In contrast, the SVM method combined with PSO achieves accuracies of 81.82%, 79.9%, and 79.62% for recall, precision, and F1-score, respectively, in classifying the sentiment of sporting events. The implications suggest that applying Hybrid SVM with PSO significantly enhances classification accuracy in sentiment analysis.
Perancangan Enterprise Architecture Untuk Digitalisasi Validasi Data Koperasi Menggunakan Framework Gartner Dan Ward & Peppard Lalu Egy Sefta Wiguna; Andi Sofyan Anas; Khairan Marzuki; Husain Husain; Muhammad wisnu Alfiansyah
Journal of Innovative and Creativity (Joecy) Vol. 6 No. 2 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

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

Abstract

Proses validasi data koperasi pada Dinas Koperasi dan Usaha Mikro Kabupaten Lombok Tengah masih dilakukan secara manual sehingga menimbulkan berbagai permasalahan, seperti duplikasi data, keterlambatan validasi, keterbatasan monitoring, serta rendahnya integrasi informasi antarbidang. Kondisi tersebut menunjukkan perlunya perencanaan Enterprise Architecture (EA) yang terstruktur untuk mendukung transformasi digital dan meningkatkan efektivitas pengelolaan data organisasi. Tujuan penelitian ini adalah merancang Enterprise Architecture untuk sistem validasi data koperasi pada Dinas Koperasi dan Usaha Mikro Kabupaten Lombok Tengah dengan menggunakan Framework Gartner yang didukung metode Ward and Peppard. Metode Penelitian menggunakan pendekatan deskriptif kualitatif. Pengumpulan data dilakukan melalui observasi, wawancara, dan studi dokumentasi terhadap proses bisnis serta sistem informasi yang berjalan. Analisis dilakukan menggunakan SWOT, PEST, Value Chain, dan McFarlan Strategic Grid untuk mengidentifikasi kondisi organisasi, kebutuhan bisnis, serta prioritas strategis sistem informasi. Perancangan arsitektur selanjutnya disusun berdasarkan Framework Gartner yang mencakup Business Architecture, Data Architecture, Application Architecture, dan Technology Architecture. Hasil penelitian menunjukkan bahwa proses validasi data koperasi yang berjalan saat ini belum terintegrasi dan masih bergantung pada dokumen fisik serta pencatatan berbasis spreadsheet. Berdasarkan hasil analisis, dihasilkan blueprint Enterprise Architecture berupa sistem informasi validasi data koperasi berbasis web yang didukung basis data terpusat, fitur deteksi duplikasi data, pengelolaan versi dokumen, dashboard monitoring, pelaporan otomatis, dan kontrol akses berbasis peran. Kesimpulan Blueprint Enterprise Architecture yang diusulkan dapat menjadi acuan strategis dalam pengembangan sistem informasi yang terintegrasi untuk meningkatkan kualitas data, memperkuat integrasi informasi, mempercepat proses validasi, serta mendukung transformasi digital layanan pada Dinas Koperasi dan Usaha Mikro Kabupaten Lombok Tengah.
Digitalisasi Desa Wisata Untuk Peningkatan Ekonomi Desa Berkelanjutan Melalui Kemitraan Pokdarwis Lembar Selatan Widia Febriana; Husain; I Made Yadi Dharma; Lady Faerrosa
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 9 No. 1 (2026): Januari 2026
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v9i1.4151

Abstract

Abstract: Developing tourism villages is a crucial strategy for strengthening local economies, reducing urbanization, and maintaining cultural and environmental sustainability. This concept is increasingly relevant in the era of digital transformation, when tourism villages are required to adapt through technology-based smart tourism approaches, digital promotion, and information services. One area with significant potential is Lembar Selatan Village in West Lombok Regency, West Nusa Tenggara. Surrounded by 70 hectares of mangrove forest, a coastline, marine life, and well-preserved local traditions, the village has the potential to be developed into a coastal ecotourism destination. The Lembar Selatan Ecotourism Awareness Group (Pokdarwis) has begun managing tourism based on conservation and environmental education. However, obstacles remain, such as low digital literacy, the lack of an online promotion and reservation system, and limited destination management training. These conditions impact market reach and low tourist visits. Therefore, Community Service (PKM) activities are designed to increase Pokdarwis capacity, strengthen tourism digitalization through websites and promotional media, and encourage local community empowerment. This program is expected to realize inclusive, participatory, and sustainable coastal ecotourism, as well as strengthen the competitiveness and branding of Lembar Selatan Tourism Village. Keyword: stourism village; tourism digitalization; coastal ecotourism; tourism group (pokdarwis); tourism digitalization; smart tourism; website. Abstrak: Pengembangan desa wisata merupakan strategi penting untuk memperkuat ekonomi lokal, mengurangi urbanisasi, serta menjaga keberlanjutan budaya dan lingkungan. Konsep ini semakin relevan di era transformasi digital, ketika desa wisata dituntut beradaptasi melalui pendekatan smart tourism berbasis teknologi, promosi digital, dan layanan informasi. Salah satu wilayah yang memiliki potensi besar adalah Desa Lembar Selatan di Kabupaten Lombok Barat, Nusa Tenggara Barat. Desa ini dikelilingi hutan mangrove seluas 70 hektare, garis pantai, biota laut, serta tradisi lokal yang masih terjaga, sehingga potensial dikembangkan menjadi destinasi ekowisata pesisir. Tahapan Metode pelaksanaan PKM dilakukan melalui identifikasi kebutuhan Pokdarwis, pengembangan website sistem informasi wisata, penguatan ekowisata mangrove, pemasangan lampu tenaga surya, penyediaan fasilitas kebersihan, penempatan papan informasi berbasis QR, serta pelatihan penggunaan megaphone untuk mendukung pelayanan wisata serta pelatihan manajement wisata. Kondisi ini berdampak pada rendahnya jangkauan pasar dan kunjungan wisatawan. Untuk itu, kegiatan Pengabdian Kepada Masyarakat (PKM) dirancang guna meningkatkan kapasitas Pokdarwis, memperkuat digitalisasi pariwisata melalui website dan media promosi, serta mendorong pemberdayaan masyarakat lokal. Program ini diharapkan mewujudkan ekowisata pesisir yang inklusif, partisipatif, berkelanjutan, serta memperkuat daya saing dan branding Desa Wisata Lembar Selatan. Kata kunci: desa wisata; digitaisasi pariwisata; ekowisata pesisir; pokdarwis; digitalisasi pariwisata; smart tourism; website
Smart Campus Dropout Prediction: Hybrid Features and Ensemble Approach M Safii; Adli Abdillah Nababan; Husain Husain
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1183

Abstract

The issue of the high number of students dropping out of college is a major concern in higher education, especially in the smart campus ecosystem. This research aims to design a prediction system for students who are at risk of dropping out by integrating hybrid feature selection methods and ensemble learning that leverage academic data and students' digital footprints. The initial process of model development involves data cleaning and the selection of important features through a combination approach using filter-based methods (mutual information) and recursive feature elimination. A classification model is then designed using the XGBoost and Random Forest algorithms. The testing was conducted using a secondary dataset that included variables such as participation in discussions, attendance rates, interaction with learning materials, and academic achievement. The results of testing with the XGBoost model showed a satisfactory accuracy level, with an F1 score of 0.77 and a ROC AUC of 0.89. The confusion matrix recorded 67 correct predictions for students who graduated and 17 correct predictions for students who dropped out, with a total of 12 misclassifications. These findings suggest that the combination of hybrid feature selection strategies and XGBoost can produce sufficiently accurate predictions of student dropouts and has the potential to be utilized as an early warning system in the governance of a more flexible and responsive smart campus.
ANALISIS KERENTANAN SQLi DAN XSS PADA WEBSITE TOP-UP GAME Heri Sumantri; Husain; Muhamad Azwar; Raisul Azhar; Khairan Marzuki
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 9 No. 2 (2026): MISI Juni 2026
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v9i2.2018

Abstract

Cybersecurity threats in Indonesia continue to rise. The National Cyber and Cryptography Agency (BSSN) has emphasized that attacks on web applications, including SQL injection, remain a key focus in the handling of cybersecurity incidents in Indonesia. SQL Injection and Cross-Site Scripting (XSS) consistently rank as the most critical vulnerabilities in web applications according to the OWASP Top 10 2021, with 94% of web applications at risk of intrusion. This study aims to analyze SQL Injection and XSS vulnerabilities on the LisxDragon website, a game top-up platform, using a white-box penetration testing methodology based on the OWASP Web Security Testing Guide (WSTG). This research consists of six phases: planning, information gathering, vulnerability analysis, exploitation, reporting, and post-patch mitigation and verification. Scanning was performed using a scanner that employs the Depth First Search (DFS) algorithm to crawl endpoints and a sequential-exhaustive injection strategy to maximize endpoint coverage and payload effectiveness. A total of 122 endpoints were identified, with 6 confirmed vulnerabilities across two endpoints: SQL Injection (Error-Based, Time-Based, Boolean-Based, Union-Based) and Reflected XSS. The exploitation assessment evaluated risks related to data, database structure leaks, data leaks or user data extraction, service disruption, and user cookie leaks. All vulnerabilities were addressed using prepared statements and the `htmlspecialchars()` output encoding function.
Co-Authors Abdul Manan Abidin Nurdin Abubakar, Ahmad Shirat Adam, Rizilvana Datu Ade Aprilia Haliza Adi Prasetiyo, Adi Adi, W. A. Adli Abdillah Nababan Afriandi, Mahsus Ahmad Ahmad Ahmat Adil Akhriana, Asmah Al-Mu’min, Al-Mu’min Amin, Muh. Agil Ana Rahmatyar Andi Asmawati Azis Andi Sofyan Anas Annah Annah, Annah Anthoni Anggrawan Anthony Anggrawan Apriani Apriani Apriliana, Zikriati Ardiasyah, Muhammad Irwan Arifin, Arham Arifin, Suci Ramadhani Armansah Armansah, Armansah Asep Nursobah, Asep Aspari, Zulkarnaen Astuti, Sindi Atsidiqi, Satriawan Nadhrotal Awi, Awi Ayu Nursila azhar mardedi, lalu zazuli Azhar, Raisul Basa T Rumahorbo Chani Saputri, Dian Syafitri Christofer Satria christofer satria Christopher Michael Lauw Dadang Pyanto Damayanti Elisabeth Dana Indra Sensuse Daniel Happy Putra Desiana Trisnawati Tobigo Devilla, Rego Djamalyanto, Meidi Dyah Susilowati Dyah Susilowati Edy Saputra Eko Hadi Sujiono Elna Purnamayanti Engelbertus Mite Erni Haryanti Fadiel Rahmad Hidayat Fathurrahman Fathurrahman Fitriani, Nurul Fristi Riandari Fu’ad, Asep Galih Hendro Martono Galih Tri Aditya Haerani, Ruslan Hamdan, Abdul Rahim Hammad, Rifqi Harahap, Aziddin Hariadi, Fadli Hariyadi, I Putu Harsyiah, Lisa Hasanuddin Hasanuddin Helna Wardhana Hendayanti, Ni Putu Nanik Hengki Tamando Sihotang Heri Sumantri Herlinda Herlinda, Herlinda Herman Mawengkang Hidayatulloh, Miftah Khilmi Husaeri, Muzammil I Made Yadi Dharma I Made Yadi Dharma I Nyoman Yoga Sumadewa I Putu Hariyadi Ikrom, Paizul Imam Alfurqan Indriasari, Sofianti Innudin, Muhammad Istin Fitriana Aziza Jaya, Nenet Natasudian Johnson Siallagan Josman, Lady Faerrosa Kadir, Taqyuddin Khaeruddin Khaeruddin Khairan marzuki Khairul Akbar Khairunnisa Khairunnisa Kurniadin Abd Latif Kurniawan, Vittorio Kusuma, Ariska Cesar Divian Candra Lalu Egy Sefta Wiguna Lalu Yayan Ardiansyah Lanang Sakti lauw, Christopher Michael Lilik Widyawati Lita, Lita Lusa, Sofian M Safii M Safii M. Amal, M. Amal M. Arif Soeleman M. Najmu Fadli M. Rizal Manalu, Janviter Mangitung, Septina F Mardedi, Lalu Zazuli Azhar Masbudi, Handika Maulana, Hifzul Wathoni Melati Rosanensi Michael Lauw, Christopher Miftahul Huda Mochamad Wahyudi Mohamad Erihadiana, Mohamad Mokodenseho, Sabil Muhamad Azwar Muhamad Azwar, Muhamad Muhamad Wisnu Alfiansyah Muhammad Arsyad Muhammad Fathoni, Muhammad Muhammad Haris Nasri Muhammad Husni Abdulah Pakarti Muhammad Irwan Ardiasyah Muhammad Rosikhu Muhammad Safii Muhammad Safir MUHAMMAD TAJUDDIN MUHAMMAD TAUFIK Muhammad wisnu Alfiansyah Muhammad Zarlis Muhammad Zulfikri Mukhlas, Oyo Sunaryo Mutmainah Mutmainah Nadya Safitri Naufal A. Furqan Ni Ketut Sri Winarti Noegroho, Haris Noor, Tajuddin Novita Novita Novrida, Diyan Nur Intan, Nur Nur, Muhammad Muhaimin Nurdiansah, Nurdiansah Nurfadilah Nurfadilah Nurhayati Nurhayati Nurul Fitriani Nurwahid, Hidayat Pariabti Palloan Peter Wijaya Sugijanto Pilisman Buulolo Pristiyono, Pristiyono Pulung Nurtantio Andono Putra, I Gede Bagus Resa Pratama Putra, Muhammad Riyandana Putra, Muhammad Wahyu Rama Yuda Putri, S. Putro, Prasetyo Adi Wibowo Raden Mohamad Herdian Bhakti Rahman Prasetyo Rahman Rahman Rahmatyar, Ana Ramadhan, Rahmat Adi Mulya Rana, Dwi Randy Vallentino Neonbeni Rauhil Fahmi Razali, Nabihah Husna Ridha Nurul Hayati Ridwan Afandi Rifqi Hammad Riski, Riski Ryaldi, Muhammad Saebani, Beni Ahmad Safriani, Laela Sahdan, Sahdan Sambaeni, Daniel Santoso, Heroe Saparudin Efendi Sappeami, Sappeami Sarib, Suprijati Sirojul Hadi Sistyawan, Dwanda Julisa Siti Rohmah Siti Soraya Sitti Aisa, Sitti Sofian Lusa Stevany Hanalyna Dethan Subaer - Subaer, S. Sufyan Mubarak Sujaka, Tomi Tri Sulihin, Hafsah Surasa, Ais Suriyati ., Suriyati Suryati Suryati Sutarman Sutarman Syafira Mahfuzi Ardiyati Taryana, Y. Tomi Tri Sujaka Triwijoyo, Bambang Krismono Tutang, Risma Putri Willy Ulpah, Ghina Utami, Herniella Tiara Victoria Cynthia Rebecca Wahidaturrahmi, Ifani Wardhana, M.Alifya Widia Febriana Wirajaya Kusuma Yahya, Muh. Yakub, Bahruddin Umar Yayan Suganda Zaenal Muttaqin Zainab Zainab Zulfikri, Muhammad