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All Journal International Journal of Electrical and Computer Engineering JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Jurnal Sarjana Teknik Informatika CommIT (Communication & Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) ELINVO (Electronics, Informatics, and Vocational Education) Annual Research Seminar JURNAL PENGABDIAN KEPADA MASYARAKAT Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Edu Komputika Journal Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi dan Sistem Komputer Jurnal Pengabdian UntukMu NegeRI Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SISFOTENIKA Jurnal Teknik Komputer AMIK BSI Jurnal Khatulistiwa Informatika Journal of Information Technology and Computer Science (JOINTECS) Jurnal Ilmiah FIFO Emerging Science Journal Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) JIEET (Journal of Information Engineering and Educational Technology) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Insect (Informatics and Security) : Jurnal Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi ILKOM Jurnal Ilmiah Jiko (Jurnal Informatika dan komputer) Query : Jurnal Sistem Informasi CYBERNETICS Krea-TIF: Jurnal Teknik Informatika IJID (International Journal on Informatics for Development) J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Informatika dan Rekayasa Elektronik RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Mobile and Forensics Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Repositor JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Bubungan Tinggi: Jurnal Pengabdian Masyarakat Edunesia : jurnal Ilmiah Pendidikan Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jumat Informatika: Jurnal Pengabdian Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Techno SIENNA JOINCS (Journal of Informatics, Network, and Computer Science) Insand Comtech : Information Science and Computer Technology Journal Jurnal Pengabdian Informatika (JUPITA) Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Scientific Journal of Informatics Innovation, Technology, and Entrepreneurship Journal BACA: Jurnal Dokumentasi dan Informasi RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi Edumaspul: Jurnal Pendidikan
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Block-hash of blockchain framework against man-in-the-middle attacks Riadi, Imam; Umar, Rusydi; Busthomi, Iqbal; Muhammad, Arif Wirawan
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 8 No 1 (2022): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v8i1.2190

Abstract

Payload authentication is vulnerable to Man-in-the-middle (MITM) attack. Blockchain technology offers methods such as peer to peer, block hash, and proof-of-work to secure the payload of authentication process. The implementation uses block hash and proof-of-work methods on blockchain technology and testing is using White-box-testing and security tests distributed to system security practitioners who are competent in MITM attacks. The analyisis results before implementing Blockchain technology show that the authentication payload is still in plain text, so the data confidentiality has not minimize passive voice. After implementing Blockchain technology to the system, white-box testing using the Wireshark gives the result that the authentication payload sent has been well encrypted and safe enough. The percentage of security test results gets 95% which shows that securing the system from MITM attacks is relatively high. Although it has succeeded in securing the system from MITM attacks, it still has a vulnerability from other cyber attacks, so implementation of the Blockchain needs security improvisation.
Heart Disease Clustering Modeling Using a Combination of the K-Means Clustering Algorithm and the Elbow Method Wala, Jihan; Herman, Herman; Umar, Rusydi; Suwanti, Suwanti
Scientific Journal of Informatics Vol. 11 No. 4: November 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i4.14096

Abstract

Purpose: Heart disease is the leading cause of death throughout the world, especially in developing countries like Indonesia. Modern approaches for diagnosing and managing heart disease rely on machine learning due to the complexity of medical data. Among the biggest challenges in using machine learning is clustering heart disease patients. This study aims to develop a machine-learning model using K-means clustering to determine the severity and level of patient emergencies. The specific objective of the model is to find the optimal number of clusters using the Elbow Method. Methods/Study design/approach: Model development using a dataset from the Kaggle Repository consisting of 303 patient data. Each data point consists of the attributes age, gender, type of chest pain, blood pressure, serum cholesterol level, blood sugar, electrocardiography results, maximum heart rate, angina, ST depression, and segment slope ST. The combination of the K-means clustering algorithm and the Elbow Method is expected to find the optimal number of clusters in the developed model. Result/Findings: The results of building a machine learning model show that k-means clustering is quite effective in clustering heart disease patients. For the model built with 303 data points, the elbow method successfully identified the optimal number of clusters, resulting in two clusters (k=2), where the elbow point on the graph shows a significant decrease in the Sum of Squared Errors (SSE). Novelty/Originality/Value: This study combines the k-means clustering algorithm and the elbow method to determine the severity and level of patient emergencies. The clustering model produces specific risk clusters that help doctors determine more appropriate interventions.
Pelatihan Edukasi Dampak Positif Dan Negatif Interaksi Media Sosial Terhadap Remaja Di SMK Muhammadiyah Bangunjiwo Sari Miranda, Bella Okta; Dahlan, Khoirul Anam; Annafii, Moch. Nasheh; Yudhana, Anton; Umar, Rusydi
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2024): Agustus
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/abdimasif.v5i2.4660

Abstract

In this dynamic technological era, changes permeate various aspects of life. Technology accelerates the shift towards the digital realm, with social media becoming the primary platform facilitating rapid interaction. However, its impact on psychological well-being and communication patterns is not always positive. To address this, an educational training program has been developed to provide adolescents with a deep understanding of the positive use of social media and how to manage its negative effects. The training takes place over one day at SMK Muhammadiyah Bangunjiwo, involving 30 students from grades 11 and 12. The methods include presentations, discussions, and interactive sessions. Survey results show that most students spend considerable time on social media, but they also recognize the importance of understanding its positive and negative impacts. This training successfully increases students' awareness of responsible social media usage, and it is hoped that similar activities can be conducted sustainably. The results indicate that with better understanding, students can optimize the use of social media to support learning and other activities, as well as develop positive character traits. This program contributes to shaping wise and responsible attitudes toward technology use among the younger generation. Awareness of the importance of digital literacy is also increasing, as evidenced by the post-test literacy index increasing by 0.49 compared to the Indonesian average in 2022.
WORKSHOP PENGENALAN EDLINK SEBAGAI MEDIA PEMBELAJARAN ONLINE DI IKIP MUHAMMADIYAH MAUMERE Saputra, Sabarudin; Anwarudin, Aang; Juliansyah, Fitrah; Ramdhani, Rezki; Yudhana, Anton; Umar, Rusydi
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 3, No 2 (2022)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v3i2.1899

Abstract

Media pembelajaran merupakan alat untuk menyampaikan pesan atau rangsangan pada proses belajar mengajar agar dapat menimbulkan keinginan untuk belajar. Media pembelajaran dapat berupa media pembelajaran online yang digunakan sebagai perantara proses pembelajaran sehingga memenuhi kebijakan Pembelajaran Jarak Jauh (PJJ) selama masa pandemi covid-19. Edlink merupakan media pembelajaran online yang digunakan oleh mitra kegiatan workshop yaitu IKIP Muhammadiyah Maumere. IKIP Muhammadiyah Maumere menggunakan Edlink sebagai media pembelajaran online antara dosen dan mahasiswanya. Sosialisasi penggunaan Edlink telah dilakukan pada masa Orientasi Kehidupan Kampus (OKK) tetapi tidak maksimal berdasarkan hasil survei sebelum kegiatan. Pihak kampus berkolaborasi dengan Magister Informatika Universitas Ahmad Dahlan melaksanakan kegiatan workshop pengenalan Edlink sebagai media pembelajaran online. Kegiatan workshop bertujuan untuk mengenalkan Edlink kepada mahasiswa baru IKIP Muhmmadiyah Maumere sebelum proses perkuliahan berlangsung. Peserta kegiatan berjumlah 120 mahasiswa baru periode 2021-2022. Tahapan kegiatan dimulai dengan survei pemahaman awal peserta, analisis tingkat pemahaman peserta, melakukan workshop, dan melakukan proses evaluasi. Metode evaluasi menggunakan angket penilaian tingkat pemahaman peserta dan dianalisis menggunakan rata-rata skor penilaian yang diberikan oleh peserta pada setiap pernyataan angket. Berdasarkan hasil evaluasi diperoleh nilai rata-rata total skor sebesar 4,35 dengan kriteria sangat paham dan persentasi sebesar 87,09%.
Perancangan Sistem Informasi Perpustakaan SMP Berbasis Web Menggunakan QR-Code Nugroho, Ismail Adji; Umar, Rusydi
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.5039

Abstract

The development of information technology is currently very fast and has become a necessity in all fields, one of which is information systems in school libraries. Many libraries in various schools, both public and private, still use conventional or manual methods to manage data in their libraries. Aisyiyah Bantul Unggulan Middle School is an Islamic education-based school that has a library that still uses conventional methods, namely the process of borrowing books still using a borrowing card and then entering it into Excel, so it takes quite a long time, besides making it difficult for library administration in managing books and searching for books. With the construction of this system, it is hoped that it can assist in the process of borrowing books, assist the library administration in managing book data and loading reports, and make it easier for students to obtain information. The method for developing this library information system uses the Waterfall method. So it makes it easier to complete the website development process because there are stages in this method starting from communication, planning, modeling, construction, to delivery, while for the system testing process using the black box testing method, the results obtained are that the system runs without there is a problem and the features work fine. With this system, it is hoped that it will provide significant benefits in assisting the book borrowing process by using QR-Code scans, assisting library administration in managing existing book data and assisting in creating reports and making it easier for students to obtain information on existing books.
IMPLEMENTASI METODE BUSINESS TO COSTUMER PADA SISTEM INFORMASI TOKO KGS RIZKY MOTOR Utama, Kiagus Muhammad Rizky Aditra; Umar, Rusydi; Yudhana, Anton
RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Vol. 9 No. 2 (2021): RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi
Publisher : Universitas Bina Taruna Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1601.867 KB) | DOI: 10.37971/radial.v9i2.234

Abstract

Implemantasi Business To Costumer (B2C) merupakan bagian e-commerce dalam bentuk jual-beli produk yang melibatkan perusahaan penjual yang secara online melalui media website. Sistem yang sedang berjalan saat ini masih menggunakan sistem manual atau offline. Ini terjadi apabila pelanggan konsumen membeli produk sparepart harus datang langsung ke tokonya. Pada implementasi business to customer ini pada Toko Kgs Rizky Motor berupa online melalui media website yang mencakup berbagai informasi bagi pelaku consumer tentang penjualan sparepart secara online, dapat menampilkan produk-produk sparepart, cara pembelian pemesanan, keranjang belanja, catalog, akun pengusaha dan kontak pengusaha. Pada penelitian ini konsep tahapan-tahapan menggunakan metode waterfall dengan mengikuti alur proses analisis kebutuhan, desain sistem, coding dan implementasi, penerapan dan pemeliharaan.. Hal ini juga memakan waktu biaya yang dikeluarkan bisa jadi lebih tinggi. Dengan salah satu upaya adanya menggunakan implementasi E-Commerce business to customer diharapkan terus meningkatkan pelaku konsumen yang terjangkau dan memudahkan pelaku konsumen ingin membeli produk sparepart tanpa harus datang langsung ketoko pada saat jam tertentu. Hal ini dapat membantu menghemat biaya yang dikeluarkan. Sistem informasi yang dibangun mengimplementasikan tahapan-tahapan pengembangan dengan bahasa pemrograman PHP dengan Adobe Dreamweaver CS 5 dan My SQL menggunakan XAMPP.
Pelatihan Kreasi Konten Digital dengan Komunikasi melalui Tools Kecerdasan Artifisial Winiarti, Sri; Soyusiawaty, Dewi; Umar, Rusydi; Yuliansyah, Herman
Jurnal Pengabdian UntukMu NegeRI Vol. 9 No. 3 (2025): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v9i3.10417

Abstract

Seiring dengan adanya kebijakan Kementrian Pendidikan Dasar dan Menengah Republik Indonesia terkait penerapan Kecerdasan Artifisial (KA) dalam pembelajaran jenjang Sekolah Dasar (SD) hingga Sekolah Menengah Atas (SMA), maka semua sekolah memerlukan adanya pemahaman terhadap pelaksanaan pembelajaran KA. Perkembangan KA telah memberikan peluang baru dalam mendukung kreativitas dan komunikasi digital dalam pelaksanaan pembelajaran. Namun, banyak guru masih kesulitan berinteraksi secara efektif dengan perangkat KA untuk menghasilkan konten pembelajaran yang meraik, khususnya untuk pembelajaran dengan model unplugged. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan kompetensi guru dalam berkomunikasi dengan perangkat KA melalui pelatihan bertema “Kreasi Konten Digital dengan Komunikasi melalui Tools Kecerdasan Artifisial.” Pelatihan dilaksanakan pada 9 Juli 2025 di Kabupaten Sleman dengan peserta sebanyak 24 guru Sekolah Menengah Pertama (SMP). Metode yang digunakan meliputi tranfer pengetahuan, praktik langsung Aplikasi KA, praktek mengajar dengan Aplikasi KA dengan pendekatan PjBL dan evaluasi pelaksanaan. Materi pelatihan berupa konsep KA dalam pembelajaran, cara berkomunikasi dengan perangkat KA yang efektif dengan menggunakan prompt yang efektif. Kegiatan pelatihan ini meningkatkan keterampilan komunikasi guru sebesar 17,4% (dari 69,4% menjadi 86,8%), menunjukkan efektivitas pendekatan PjBL dalam memperkuat literasi digital dan kreativitas guru.
Identification of Learning Javanese Script Handwriting Using Histogram Chain Code Arif Budiman; Abdul Fadlil; Rusydi Umar
Edumaspul: Jurnal Pendidikan Vol 7 No 1 (2023): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

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

Abstract

One of the wealth of the Indonesian nation is the many tribes with their own languages and scripts. One of the scripts that has existed since long before the independence of the State of Indonesia is the Javanese script, with the use of Latin script used by almost every aspect of life, both official official activities and daily use, the use of traditional scripts, especially Javanese script, is increasingly scarce. To facilitate learning the Javanese script, learning media is needed with the ability to recognize Javanese characters. In this study, pre-processing was used, especially feature extraction using the Histogram Chain Code (HCC) method and classification using artificial neural networks using the Multi Layer Perceptron method. This study compares four research models by setting the number of HCC feature extraction parameters obtained from one intact image and 3 divided images of 4, 9 and 16 parts respectively so that the total parameters of each HCC model are 8, 32, 72 and 128 parameters characteristic. The training and testing process using the Multi Layer Perceptron method uses 2000 handwritten Javanese script image data which is divided into 80%, namely 1600 images for the training process and 400 images for the testing process. This research resulted in different accuracies, namely 57%, 78%, 83% and 76%. The best accuracy is obtained from the HCC model with 72 parameters and the image is divided into 9 sections.
RESEARCH ON SECURE VIRUS TROJAN IN CYBERSECURITY PLATFORM Sidiq, Ahmad Fajar; Umar, Rusydi; Yudhana, Anton
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 5 No 2 (2018): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v5i2.247

Abstract

Security is main issue of this generation of computing because many types of attacks are increasing day by day. Establishing a network is not a big issue for network administrators but protecting the entire network is a big issue. There are various methods and tools are available today for destroying the existing network. In this paper we mainly emphasize on the network security also we present some major issues that can affect our network, Trojan horse virus can give rise to the leakage of internal data. Keywords:Security, Trojan Horse, System, Network.
Advanced Chicken Breed Identification Using Transfer Learning Techniques with the VGG16 Convolutional Neural Network Architecture Nagala Wangsa kencana; Rusydi Umar; Murinto
Jurnal Penelitian Pendidikan IPA Vol 11 No 7 (2025): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i7.11870

Abstract

This study proposes a deep learning-based classification system to identify chicken breeds from image data. A dataset of 2,400 labeled images representing twelve distinct chicken breeds was collected and divided into training, validation, and testing sets. The system employs transfer learning by integrating the Mobile VGG16 convolutional neural network as the feature extraction backbone. The extracted features were then passed through custom classification layers to differentiate among the breeds. The model was trained using 1,800 images, validated with 300 images, and evaluated on a separate test set of 300 images. During testing, the model achieved an accuracy of 81% and a categorical cross-entropy loss of 0.378. These results indicate that the model can effectively recognize subtle visual distinctions between similar-looking chicken breeds. The system demonstrates practical potential for applications in poultry farming, biodiversity documentation, and automated livestock management. The findings confirm that deep convolutional neural networks, particularly VGG16 in a transfer learning setup, are capable of performing fine-grained classification tasks in real-world scenarios. The proposed method provides a reliable and scalable solution for automatic chicken breed identification based on image input.
Co-Authors Aang Anwarudin Abdul Fadlil Abdul Fadlil Abdul Fadlil Abdul Hadi Abdullah Hanif Abe, Tuska Achmad Dito Achmad Nugrahantoro Agus Prasetyo Marsaid Ahmad Fajar Sidiq Ahmad Ikrom Ahmad Ridwan Ahmadi, Ahwan Ahnafi, Muhammad Ghazi Aini, Fadhilah Dhinur Aji Nugroho Akbar, Zulfikri Alameka, Faza Alameka, Faza Aldi Rifki Andriawan Alfiansyah Imanda Putra Alfiansyah Imanda Putra Alfian Anak Agung Gede Sugianthara Andhy Sulistyo Anggara, Rio Annafii, Moch. Nasheh Anton Yudhana Anton Yudhana Anwarudin, Aang Ardi Pujiyanta Ardiansyah, Ricy Arfiani Nur Khusna Arief Setyo Nugroho Arief Setyo Nugroho Arief Setyo Nugroho Arief Setyo Nugroho Arif Budiman Arif Budiman Arif Wirawan Muhammad Arizona Firdonsyah Asruddin, Asruddin Asy’am, Muhammad Hasfar Aulyah Zakilah Ifani Az-Zahra, Rifqi Rahmatika Bashor Fauzan Muthohirin Bella Okta Sari Miranda Bintang, Rauhulloh Noor Busthomi, Iqbal Bustomi, Iqbal Deni Kuswandani Deni Murdiani Dewi Astria Faroek Dewi Estri Jayanti Dewi Estri Jayanti Dewi Sahara Dewi Sahara Nasution Dewi Soyusiawaty Dwi Susanto Dzakwan, M Sabiq E, Ermin Eko Handoyo Elfaditiya Wardaya Ermin Ermin Fadhilah Dhinur Aini Fadlil, Abdu Fadlillah Mukti Ayudewi Fahmi Anwar Faiz Isnan Abdurrachman Faizin Ridho Fathia Irbati Ammatulloh Fauzan, Fauzan Faza Alameka Faza Alameka Fijaya Dwi Bimasakti Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Yasin Fitrah Juliansyah Fitrah Juliansyah Gustafi, Muhammad Fauzan Gustafi, Muhammad Fauzan H, Hermansa Hadi, Wisnu Setiawan Hafidz, Muhammad Nasir Hanif, Abdullah Hanif, Kharis Hudaiby Helmiyah, Siti Herman Herman Herman Herman Herman Herman Yuliansyah, Herman Hermansa Imam Mahfudl Nasrulloh Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Indra Gunawan Iqbal Busthomi Iqbal Busthomi Irjayana, Rizky Caesar Izzan Julda D.E Purwadi Putra Jaka Dernata Jefree Fahana Juliansyah, Fitrah Kencana, Nagala Wangsa Kgs Muhammad Rizky Alditra Utama Kharismajati, Gema Khoirul Anam Dahlan Kusuma, Ridho Surya Lisna Zahrotun Lukman Nurhakim Maftukhah, Ainin Mardhiatul Ihsaniah Maulana, Irvan Maya Anggriani Miladiah Miladiah Miladiah, Miladiah Mirza Sutrisno Moch. Nasheh Annafii Mochammad Imron Awalludin Muammar Muammar, Muammar Muhajir Yunus Muhammad Abdul Aziz Muhammad Abdul Aziz Muhammad Aziz Muhammad Aziz Muhammad Fahmi Mubarok Nahdli Muhammad Fauzan Gustafi Muhammad Fauzan Gustafi Muhammad Ihya Aulia Elfatiha Muhammad Irwan Syahib Muhammad Irwan Syahib Muhammad Jundullah Muhammad Noor Fadillah Muhammad Noor Fadillah Muhammad Nur Ardhiansyah Muhammad Nur Faiz Muis, Alwas Muntiari, Novita Ranti Murinto Murinto Murinto Mustafa Mustafa Muzakkir Pangri N, Musri Iskandar Nagala Wangsa kencana Nasrulloh, Imam Mahfudl Nugroho, Ismail Adji Ockhy Jey Fhiter Wassalam Panggah Widiandana Periyanto, Ari Peryanto, Ari Prasetyo Hari Prabowo prayudi, Andi Purwanto Purwanto Purwono Purwono P Purwono, Purwono Putra, Alfiansyah Imanda Putra, Fajar R. B Putra, Fijaya Dwi Bima Sakti Putri Silmina, Esi Raden Mohamad Herdian Bhakti Ramdhani, Rezki Resmi - Aini Rezki Ramdhani Rezki Rezki Ridho Surya Kusuma Rifqi Rahmatika Az-Zahra Saad, Saleh Khalifah Sabarudin Saputra Sahiruddin Sahiruddin Sakti, Fijaya Bima Dwi Saleh khalifa saad Sarjimin Sarjimin Sarmin, Sarmini Septa, Frandika Sidiq, Ahmad Fajar Siswanto, Anwar Siti Helmiyah Sonny Abriantoro Wicaksono Sri Rahayu Astari Sri Rahayu Astari Sri Winiarti Subandi, Rio Subhan Subhan Sugandi, Andi Sunardi Sunardi Sunardi, Sunardi Suwanti Suwanti Syahib, Muhammad Irwan Tarisno Amijoyo Tella, Fitriyani Tole Sutikno Tri Lestari Tri Lestari Tri Lestari Utama, Kgs Muhammad Rizky Alditra Utama, Kiagus Muhammad Rizky Aditra Veithzal Rivai Zainal Wala, Jihan Wasito Sukarno Widya Cholid Wahyudin Winoto, Sakti Yuminah yuminah Yuminah, Yuminah yuminah, Yuminah