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All Journal 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) Jurnal Teknologi Terpadu 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 JIKA (Jurnal Informatika) 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 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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Dispensasi Nikah dalam Pernikahan Anak Perspektif Hukum dan Sosiologi Surasa, Ais; Mukhlas, Oyo Sunaryo; Saebani, Beni Ahmad; Husain, Husain
Aktivisme: Jurnal Ilmu Pendidikan, Politik dan Sosial Indonesia Vol. 2 No. 4 (2025): Oktober: Aktivisme: Jurnal Ilmu Pendidikan, Politik dan Sosial Indonesia
Publisher : Asosiasi Peneliti dan Pengajar Ilmu Hukum Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/aktivisme.v2i4.1417

Abstract

The rise of the phenomenon of early marriage in Indonesia is the background to the birth of Republic of Indonesia Law number 16 of 2019 concerning marriage and the compilation of Islamic law, which sets the age limit for marriage to 19 years. The reality is that in society there are many cases asking to be able to get married and have it officially registered, which has led to the existence of a marriage dispensation. Marriage dispensation is permitted by law by considering positive matters. The aim of this study is to determine the long-term impact of early marriage on the welfare of individuals, families and society. The method used is qualitative, data collection is carried out by interviews, direct observation and also data related to the theme. Using this method will make it easier to observe phenomena in society regarding marriage dispensations. The data analysis used was an inductive method (Creswell, 1994). The results obtained were that the marriage dispensation from a legal perspective did not conflict with Law 16 of 2019. The granting of marriage dispensations was carried out by considering the impact. From a sociological perspective, our society views early marriage as something normal and often forgets the impact of child marriage. Marriage dispensation is a rational choice, even though the risks faced are very high. Therefore, it is necessary to increase public awareness of promiscuity and return to the essence of marriage.
PEMILIHAN BAHAN PUPUK ORGANIK UNGGULAN DALAM SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE WEIGHTED PRODUCT Heroe Santoso; Raisul Azhar; Suriyati Suriyati; Melati Rosanensi; I Made Yadi Dharma; Husain Husain; Fathurrahman Fathurrahman
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 5 No. 2 (2024): Desember 2024
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.v5i2.208

Abstract

Organic fertilizer is a type of fertilizer that comes from natural ingredients that contain organic materials, such as plant, animal or other organic waste. Organic fertilizer naturally contains essential nutrients for plants, such as nitrogen, phosphorus, potassium, micronutrients and beneficial organic materials. Organic fertilizers have experienced significant development in recent years. Increased awareness of the importance of sustainable and environmentally friendly agriculture has encouraged the use and development of organic fertilizers. Meanwhile, organic fertilizer can be produced through composting, fermentation or decomposition of organic materials. To be able to produce superior and quality fertilizer products, of course you must choose superior or quality product ingredients. Sources of organic material can be goat kohe, effective microorganism 4 (EM4), bamboo leaf waste, chicken manure waste, burnt husks, cocopeat, coconut fiber. This research aims to create a decision support system using the weighted product (WP) method. WP is a popular multi-criteria analysis decision and is a multi-criteria decision making method. The choice of the weighted product (WP) method is also based on its ability to provide optimal solutions in the ranking system. The choice of this method is also based on the computational complexity which is not too difficult so that the time required to produce calculations is relatively short
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
Support Vector Machine Optimization for Diabetes Prediction Using Grid Search Integrated with SHapley Additive exPlanations M Safii; Husain Husain; Khairan Marzuki
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 1 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i1.5133

Abstract

The high number of diabetes mellitus sufferers has become a global health issue, and a scientific approach is needed to produce accurate and efficient diagnoses, which can then support decision-making in providing solutions for its management. The goal of this research is to develop a machine learning model that can accurately, efficiently, and transparently diagnose diabetes mellitus for use in clinical practice. This research method involves using the Support Vector Machine (SVM) algorithm, optimized with the Grid Search technique, and evaluated interpretively using the SHapley Additive exPlanations (SHAP) method. This research uses a secondary dataset consisting of the parameters Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, Body Mass Index, DiabetesPedigree- Function, and Age. Data preprocessing was carried out by performing normalization using a standard scaler and dividing the data into training and testing sets. The results of this study show that the SVM model achieved an accuracy of 0.7532 with the optimal parameters C: 1, gamma: 0.01, and kernel: rbf. Using SHAP, the analysis shows that the parameters Glucose, Body Mass Index, and Age have a significant impact on the results of diabetes classification. The main finding of this study is that SupportVector Machine optimization with SHapley Additive exPlanations can deliver excellent performance in diabetes prediction while also enhancing model transparency. The study’s implications suggest that the results can serve as a foundation for developing a medical diagnosis system that is straightforward, accurate, and easy to understand for diabetes mellitus.
SISTEM INFORMASI PRESENSI SISWA BERBASIS QR CODE DENGAN APLIKASI MOBILE TERINTEGRASI Dharma, I Made Yadi; Adil, Ahmat; Hariyadi, I Putu; Husaeri, Muzammil; Husain, Husain; Alfiansyah, Muhamad Wisnu
Journal of Information System, Informatics and Computing Vol 9 No 2 (2025): JISICOM (December 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i2.2223

Abstract

Penelitian ini mengembangkan sistem informasi presensi siswa berbasis QR code dengan aplikasi mobile terintegrasi untuk mengatasi tantangan pencatatan kehadiran manual di institusi pendidikan. Sistem menyediakan monitoring kehadiran real-time untuk guru, siswa, orang tua/wali, guru bimbingan konseling (BK), dan kepala sekolah melalui aplikasi mobile dan web berbasis peran. Menggunakan metodologi pengembangan Waterfall, sistem mengintegrasikan fitur generate dan scan QR code, validasi geolokasi, autentikasi perangkat, dan notifikasi real-time. Langkah keamanan mencakup QR code dinamis, autentikasi berbasis sesi, enkripsi database, dan implementasi firewall Software-Defined Network (SDN). Pengujian sistem menunjukkan akurasi 95% dalam pencatatan kehadiran, mengurangi waktu pencatatan 80% dibanding metode manual, dan mencapai rating kepuasan pengguna 91%. Aplikasi mobile berhasil menyediakan notifikasi kehadiran real-time untuk orang tua, memungkinkan guru BK melacak pola kehadiran siswa, dan memfasilitasi pelaporan komprehensif untuk administrator sekolah. Sistem ini mengatasi tiga masalah utama: lambatnya rekapitulasi presensi manual, kesulitan monitoring kehadiran siswa oleh guru BK, dan kurangnya kesadaran orang tua terhadap kehadiran anak di sekolah. Hasil implementasi menunjukkan sistem efektif meningkatkan efisiensi manajemen kehadiran sambil menyediakan informasi transparan dan real-time kepada semua pemangku kepentingan.
The Implementation of Fuzzy Time Series in Forecasting The Number of Tourist Visits Aziza, Istin Fitriana; Soraya, Siti; Sahdan, Sahdan; Husain, Husain; Hendayanti, Ni Putu Nanik; Harsyiah, Lisa
Jurnal Varian Vol. 8 No. 3 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i3.4890

Abstract

The development of tourism in West Nusa Tenggara (NTB) Province is supported by its geographical conditions, including scattered small islands (gilis), a tropical climate, and the cultural peculiarities of the Sasak and Mbojo Tribes, thereby becoming an attraction in the development of global tourist destinations. Tourism development in NTB Province would be more attractive with the establishment of the Mandalika National Tourism Development Strategic Area (KSPPN). This research aims to predict the number of tourist visits. A method to forecast the number of tourist visits in NTB Province is needed to assist the government in preparing appropriate facilities and infrastructure in the event of a possible surge in tourist visits. The method used in this study is the Fuzzy Time Series to predict the number of tourist visits in NTB Province. The data used in this study were secondary data sourced from the NTB government tourism office. The result of this research was that the Fuzzy Time Series method was effective in predicting the number of tourist visits in NTB Province, with an accuracy of 90.29%. The forecast result, generated using the Fuzzy Time Series method, was not significantly different from the actual data; in other words, it was almost identical to the actual data. The forecast for tourist visits to the NTB province in the 48th period remains unchanged until the 53rd period, namely 80,739.7 people. The FTS method used in this study cannot be applied to data with long-term seasonal patterns. A suggestion for future researchers is to develop a classical FTS that captures additional long-term seasonal patterns. 
Pengenalan Bahasa Isyarat Hijaiyah: Augmentasi Data dengan EfficientnetB7 Tanwir, Tanwir; Husain, Husain; Hammad, Rifqi; Anas, Andi Sofyan; Azwar, Muhammad
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 4 (2025): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i4.728

Abstract

Sign language plays an important role as the primary means of communication for individuals with hearing impairments. This study aims to improve the accuracy of hijaiyah sign language detection through the application of the EfficientNetB7 architecture and data augmentation tech-niques. The method used, namely the EfficientNetB7 algorithm, was chosen as the base model be-cause of its ability to balance high accuracy with optimal resource utilization by performing data augmentation with rescale, shear, zoom, rotation, and flip horizontal techniques applied to enrich the variation of the original dataset of 6,811 images to 105,615 images. The experimental results show that the combination of EfficientNetB7 and data augmentation produces 99% accuracy on the test data, with consistent performance seen from the confusion matrix and accuracy loss graph for 50 epochs. This study proves that this approach not only improves model generalization but also reduces the risk of overfitting, thus potentially supporting social inclusion through efficient and reliable technology.
Perspektif Baru Enterprise Architecture Pemerintahan Kota Mataram Berbasis TOGAF ADM Husain Husain; Pulung Nurtantio Andono; M. Arif Soeleman
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 16 No. 2 (2017)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v16i2.6

Abstract

TIK salah satu penentu keberhasilan sebuah organisasi dalam mencapai visi dan misinya. Terpilihnya pemimpin yang baru, terbentuknya SKPD baru dengan visi misi baru sehingga master plan yang lama di anggap sudah tidak relevan lagi, sehingga persoalan yang muncul diselesaikan dengan cara reaktif dan memungkinkan persoalan yang sama akan muncul kembali pada masa yang akan datang. Arsitektur enterprise adalah cara untuk membangun arsitektur TIK dari sebuah organisasi yang berfokus pada arsitektur bisnis, arsitektur data, arsitektur aplikasi dan arsitektur teknologi. Penelitian ini merupakan penelitian deskriptif kualitatif dengan pendekatan studi kasus. Metodologi yang digunakan adalah Enterprise Architecture TOGAF ADM sebagai kerangka acuan untuk perencanaan strategis TIK Pemerintahan Kota Mataram. Subyek pada penelitian ini adalah responden yang memiliki kewenangan dalam pengambilan keputusan terkait TIK dan pengguna TIK di Dinas Komunikasi dan Informatika (DISKOMINFO). Kebutuhan bisnis yang terdiri dari Arsitektur Data, Aplikasi dan Teknologi diidentifikasi dan diusulkan untuk mendukung aktivitas bisnis demi pencapaian tujuan organisasi. Hasil dari penelitian ini dengan menganalisa penggunaan penerapan teknologi informasi dan komunikasi(TIK) Seperti Sumber daya Manusia yang terlibat, kebutuhan aplikasi dan infrastruktur jaringan komputer dalam untuk mendukung proses bisnis dalam pelaksanaan roda pemerintahan Kota Mataram, dengan menggunakan metode scorecard uji kelayakan dengan rata-rata perolehan 76%.
Forecasting the Number of Students in Multiple Linear Regressions Fristi Riandari; Hengki Tamando Sihotang; Husain Husain
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i2.1348

Abstract

The most important element of higher education was students, therefore every university must continue to improve services in the future, and one of them was by using decision support. This case could be done by utilizing the University of Big Data. Predicting the number of prospective students in higher education was done by utilizing data mining and multiple linear regression approaches. By using 2 independent variables, namely administration costs (X1), accreditation score (X2), and the number of students who was registered each year as dependent variable (Y). For the test data, it used database for the last 13 years. By using multiple linear regression, the intercept value was sought and the coefficient of determination until the regression coefficient was obtained with the equation Y = 45.28 + -0.02.X1 + 121.58.X2, noted that if X2 was constant, the increasing of one unit was in X1 would have the effect of increasing -0.02 units on Y. Secondly, if X1 was constant, the increasing of one unit was in X2, would have the effect of increasing 121.58 units in Y. Thirdly, if X1 and X2 were equal to zero, the magnitude of Y was 45.28 units. Therefore, the proposed approach could be provided the acceptable predictive results.
Sistem Pakar untuk Identifikasi Kandungan Formalin dan Boraks pada Makanan dengan Menggunakan Metode Certainty Factor Hengki Tamando Sihotang; Fristi Riandari; Pilisman Buulolo; Husain Husain
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i1.1364

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui identifikasi kandungan zat pengawet berbahaya boraks dan formalin pada makanan. Metode yang digunakan untuk mengidentifikasi kandungan zat berbahaya pada makanan dengan menggunakan Certainty Factor dengan teknik pemberian bobot pada setiap premis (gejala) hingga memperoleh persentase keyakinan untuk mengidentifikasi makanan yang mengandung formalin dan boraks. Hasil penelitian ini adalah Kandungan boraks pada makanan, dari 4 sampel makanan (100%) yaitu 4 sampel atau seluruh sampel tidak mengandung boraks dengan persentase sebesar 100%. Kandungan formalin pada makanan, dari 4 sampel makanan (100%) yaitu ada 2 sampel makanan positif mengandung formalin dengan persentase sebesar 50% dan ada 2 makanan negative mengandung formalin dengan persentase sebesar 50%. Dari hasil pemeriksaan menggunakan spektrofoto meter UV-VIS kadar formalin yang terendah terdapat pada sampel (Ikan Segar) dengan nilai 0,6631 mg/l. Kadar formalin yang tertinggi terdapat pada sampel C (Mi Bakso) dengan nilai 1,7140 mg/l.
Co-Authors Abdul Manan Abdulah Pakarti, Muhammad Husni 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 Apriani Apriani Apriliana, Zikriati Ardiasyah, Muhammad Irwan Ardimansyah Ardimansyah Arifin, Arham Arifin, Suci Ramadhani Armansah Armansah, Armansah Asep Nursobah, Asep Aspari, Zulkarnaen Asran, Asran Astuti, Sindi Atsidiqi, Satriawan Nadhrotal Awi, Awi azhar mardedi, lalu zazuli Azhar, Raisul Basa T Rumahorbo Chani Saputri, Dian Syafitri 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 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 Putu Hariyadi Ikrom, Paizul Imam Alfurqan Indriasari, Sofianti Innudin, Muhammad Istin Fitriana Aziza Jaya, Nenet Natasudian Johnson Siallagan JOHNSON SIALLAGAN Kadir, Taqyuddin Kasmawaru, Kasmawaru 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 Marsa, Marsa 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 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 Intan, Nur Nur, Muhammad Muhaimin Nurdiansah, Nurdiansah Nurfadilah Nurfadilah Nurhayati Nurhayati Nurul Fitriani Nurwahid, Hidayat Nuzululnisa, Baiq Nadila Pariabti Palloan 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 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 Syahruni, Risda Tanwir Tanwir Taryana, Y. Tomi Tri Sujaka Triwijoyo, Bambang Krismono Tutang, Risma Putri Willy Ulpah, Ghina Utami, Herniella Tiara 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