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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 Teknologi Informasi dan Multimedia Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Varian JMTS: Jurnal Mitra Teknik Sipil TRIDARMA: Pengabdian Kepada Masyarakat (PkM) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) 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) SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam 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 Mawaddah: Jurnal Hukum Keluarga Islam Educational Journal of Learning Technology Scientific Journal of Informatics DIPANEGARA KOMPUTER TEKNOLOGI INFORMATIKA (DIPAKOMTI) aktivisme: Jurnal Ilmu Pendidikan, Politik dan Sosial Indonesia Alamtana Al-battar: Jurnal Pamungkas Hukum Educompassion: Jurnal Integrasi Pendidikan Islam Dan Global Income : Digital Business Journal Prosiding Seminar Nasional CORISINDO Dialog Legal: Jurnal Syariah, Jurisprudensi dan Tata Negara Jurnal Pengabdian Masyarakat Indonesia
Husain Husain
Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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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 Multi-Authentication pada Smart Door Lock Berbasis ESP8266 Widyawati, Lilik; Husain, Husain; Latif, Kurniadin Abdul; Sastrawan, L. Irvan
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 2 (2026): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i2.975

Abstract

Home security has become a primary concern, where conventional lock systems have significant weaknesses such as risk of loss, ease of duplication, and inability for remote monitoring. This re-search develops a Smart Door Lock system based on ESP8266 and Blynk with a multi-sensor and multi-authentication approach to overcome these problems. The system integrates RFID RC522 and 4x4 keypad as two-factor authentication (2FA) that can be toggled as needed, equipped with IR MH-B sensor for forced entry detection, ESP32-CAM for visual documentation, and Blynk platform for remote management. The research uses the ADDIE method which includes analysis, design, development, implementation, and evaluation stages with Black Box Testing approach. Imple-mentation results show the system successfully functions with a success rate of 98.29% from 1,405 tests. Average RFID reading time 447.5ms, total access time 1.27 seconds, and Blynk notification delay 2.38 seconds, meeting the response target of < 3 seconds. The 2FA mechanism proved effec-tive with 100% validation accuracy, toggle mode functions perfectly with EEPROM persistence. Remote management features via Blynk achieved 100% reliability for adding and removing RFID cards, changing passwords, and remote control. The IR sensor successfully distinguished legal and forced openings with 97.5% accuracy. ESP32-CAM integrated perfectly with automatic trigger via REST API for visual documentation to Telegram. The system is considered feasible as a modern, secure, and easy-to-operate home security solution.
The Dynamics of Family Law Reform in Muslim Societies: A Comparative Fiqh Analysis of Gender Justice and Legal Modernization Husain, Husain; Chadziq, Achmad Lubabul; Setyorini, Fitri Sari; Faizah, Nur; Abdullah Sanek, Siti Khadijah
Mawaddah: Jurnal Hukum Keluarga Islam Vol 4 No 1 (2026): Mei
Publisher : Universitas Muhammadiyah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52496/mjhki.v4i1.74

Abstract

This study examines the dynamics of family law reform in Muslim societies through a comparative fiqh perspective, with a particular focus on gender justice and legal modernization. The research is motivated by the growing tension between classical Islamic legal doctrines and contemporary demands for equality, especially in the domain of family law, which directly governs gender relations. It aims to analyze how Muslim countries reinterpret Islamic legal principles to accommodate evolving social realities while maintaining normative legitimacy. This research employs a qualitative legal method with a comparative and normative approach. Primary data consist of statutory regulations on family law from selected Muslim-majority countries, including Indonesia, Morocco, and Tunisia, while secondary data are derived from classical fiqh literature, contemporary scholarly works, and international human rights instruments. Data are collected through document analysis and examined using interpretative and comparative analytical techniques grounded in maqāṣid al-sharī‘ah. The findings reveal that reforms in family law across Muslim societies demonstrate a shift from rigid textualism toward contextual and purposive interpretations of Islamic law. Countries adopting progressive reforms tend to integrate gender justice principles by reinterpreting doctrines such as qiwāmah, polygamy, and divorce rights, aligning them with broader objectives of justice, welfare, and human dignity. Moreover, the incorporation of international human rights norms has influenced legal restructuring, although often mediated by local religious and political considerations. In conclusion, the study affirms that the integration of gender justice within Islamic family law is both normatively justifiable and socially necessary, and therefore recommends the adoption of a maqāṣid-based interpretative framework alongside institutional legal reform to ensure a more equitable, adaptive, and sustainable family law system in Muslim societies.
ANALISIS SENTIMENT KEUANGAN MENGGUNAKAN FINE-TUNED FINBERT Heroe Santoso; Raisul Azhar; Suryati, Suryati; Melati Rosanensi; I Made Yadi Dharma; Husain, Husain; Ahmat Adil; Muhamad Azwar; I Putu Hariyadi
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2025): Desember 2025
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v6i2.316

Abstract

Financial information is a critical type of data for analysis. However, because much of it is unstructured and widely dispersed, an appropriate analytical method is required, one of which is sentiment analysis. In the financial context, sentiment analysis is employed by the industry to assess public perceptions of companies or market conditions. This study implements a fine-tuned FinBERT model to perform sentiment analysis in the financial sector. The dataset used is a combination of FiQA (Financial Question Answering) and The Financial PhraseBank, consisting of English sentences labeled with negative, neutral, and positive sentiments. The research process involved data preprocessing, tokenization, data splitting, model training, and evaluation using accuracy, precision, recall, F1-score, and confusion matrix metrics. The results show that the model achieved 82% accuracy, with its best performance in the positive class (F1-score 0.88) and the neutral class (F1-score 0.85), but weaker performance in detecting the negative class (F1-score 0.49). These findings indicate that the fine-tuned FinBERT is effective for financial sentiment analysis, particularly for positive and neutral sentiments, though improvements are needed in negative sentiment detection, potentially through expanding training data diversity or applying data augmentation techniques
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.
Co-Authors Abdul Manan Abdulah Pakarti, Muhammad Husni Abdullah Sanek, Siti Khadijah Abidin Nurdin Abubakar, Ahmad Shirat Adam, Rizilvana Datu Adi Prasetiyo, Adi Adi, W. A. Afriandi, Mahsus Agus Susanto Ah. Fathonih Ahmad Ahmad Ahmat Adil Akhriana, Asmah Al-Mu’min, Al-Mu’min Amin, Farda Milanda Amin, Muh. Agil Andi Asmawati Azis Andi Sofyan Anas Annah Annah, Annah Anthoni Anggrawan Anthony 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 azhar mardedi, lalu zazuli Azhar, Raisul Basa T Rumahorbo Chadziq, Achmad Lubabul 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 Diana Farid Djamalyanto, Meidi Dyah Susilowati Dyah Susilowati Edy Saputra Eko Hadi Sujiono Elna Purnamayanti Engelbertus Mite Erni Haryanti Fadiel Rahmad Hidayat Fathurrahman Fathurrahman Fauzan Ali Rasyid Fitriani, Nurul Fristi Riandari Fu’ad, Asep Galih Hendro Martono Galih Tri Aditya Hadi, Muhammad Fawazi Haerani, Ruslan Hamdan, Abdul Rahim Hammad, Rifqi Harahap, Aziddin Hariadi, Fadli Hariyadi, I Putu Harsyiah, Lisa Hartono Wijaya Hasanuddin Hasanuddin Hassan Bello, Abdulmajeed Bolade Helna Wardhana Hendayanti, Ni Putu Nanik Hengki Tamando Sihotang 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 JOHNSON SIALLAGAN Kadir, Taqyuddin Khaeruddin Khaeruddin Khairan marzuki Khairunnisa Khairunnisa Kurniadin Abd Latif Kurniawan, Vittorio Kusuma, Ariska Cesar Divian Candra Lalu Yayan Ardiansyah Lanang Sakti lauw, Christopher Michael Lauwl, Christoper Michael Lilik Widyawati Lita, Lita Lusa, Sofian 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 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 Zarlis Mukhlas, Oyo Sunaryo Mutmainah Mutmainah Muttaiqen, Muhammad Syahrul Nababan, Adli Abdillah Nadya Safitri Ni Ketut Sri Winarti Noegroho, Haris Noor, Tajuddin Novita Novita NUR FAIZAH Nur Intan, Nur Nur, Muhammad Muhaimin Nurdiansah, Nurdiansah Nurfadilah Nurfadilah Nurhayati Nurhayati Nurul Fitriani Nurwahid, Hidayat Nuzululnisa, Baiq Nadila 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 Riski, Riski Ryaldi, Muhammad Saebani, Beni Ahmad Safii, M Safriani, Laela Sahdan, Sahdan Sambaeni, Daniel Santoso, Heroe Saparudin Efendi Sappeami, Sappeami Sarib, Suprijati Sastrawan, L. Irvan Setyorini, Fitri Sari Sirojul Hadi Sistyawan, Dwanda Julisa Siswahyudianto 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 Suryati Suryati Sutarman Sutarman Syafira Mahfuzi Ardiyati Syahruni, Risda Tanwir Tanwir Taryana, Y. Tomi Tri Sujaka Triwijoyo, Bambang Krismono Tutang, Risma Putri Willy Ulpah, Ghina Utami, Herniella Tiara Victoria Cynthia Rebecca Vidiasari, Viviana Herlita Wahidaturrahmi, Ifani Wahyudi Wahyudi Wardhana, M.Alifya Widyawati , Lilik Wirajaya Kusuma Yahya, Muh. Yakub, Bahruddin Umar Yayan Suganda Yubaidi, Ahmad Zaenal Muttaqin Zainab Zainab Zulfikri, Muhammad