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All Journal International Journal of Electrical and Computer Engineering International Journal of Reconfigurable and Embedded Systems (IJRES) Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Jurnal Sistem Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Disease Prevention and Public Health Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik CommIT (Communication & Information Technology) Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Jurnal sistem informasi, Teknologi informasi dan komputer Sinergi Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) Jurnas Nasional Teknologi dan Sistem Informasi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JURNAL NASIONAL TEKNIK ELEKTRO KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Proceeding of the Electrical Engineering Computer Science and Informatics Fountain of Informatics Journal Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah FIFO Emerging Science Journal JIKO (Jurnal Informatika dan Komputer) Jurnal CoreIT Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) MUST: Journal of Mathematics Education, Science and Technology IT JOURNAL RESEARCH AND DEVELOPMENT Al-MARSHAD: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan JRST (Jurnal Riset Sains dan Teknologi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Informatika Universitas Pamulang ILKOM Jurnal Ilmiah Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer CYBERNETICS JURIKOM (Jurnal Riset Komputer) JUMANJI (Jurnal Masyarakat Informatika Unjani) Informatika : Jurnal Informatika, Manajemen dan Komputer Jurnal Ilmiah Mandala Education (JIME) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Buletin Ilmiah Sarjana Teknik Elektro Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Genta Mulia : Jurnal Ilmiah Pendidikan Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Bubungan Tinggi: Jurnal Pengabdian Masyarakat Journal of Innovation Information Technology and Application (JINITA) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Masyarakat Indonesia Jurnal Nasional Pengabdian Masyarakat Techno SIENNA Jurnal Informatika: Jurnal Pengembangan IT Advance Sustainable Science, Engineering and Technology (ASSET) Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JOCHAC
Sunardi, Sunardi
Universitas Ahmad Dahlan Yogyakarta
Religion Aerospace Engineering 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 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 Medicine & Pharmacology Physics Public Health Social Sciences Other

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Pengembangan Wireless Sensor Network Berbasis Internet of Things untuk Sistem Pemantauan Kualitas Air dan Tanah Pertanian Ummi Syafiqoh; Sunardi Sunardi; Anton Yudhana
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 2 (2018): JPIT, Mei 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i2.878

Abstract

Water and soil quality is very important in agriculture. The level of acidity (pH) and soil temperature is one of the things that affect the fertility of plants. Therefore the quality of water and soil on agricultural land is one of the important things that need special attention in its management. One solution to water and soil quality can be monitored and managed efficiently is by utilizing the Wireless Sensor Network based on the Internet of Things (IoT). Use of ESP8266 Module as a WIFI module, widely used by Internet-based applications of Things because the price is cheap, thus reducing many costs and have a pretty good speed of 80 MHz. This research aims to develop the concept of Wireless Sensor Network by utilizing ESP8266 module to monitor pH value using pH Meter Analog Kit sensor and temperature of agricultural land using DS18B20 Waterproof sensor. The result of temperature measurement accuracy using DS18B20 Waterproof sensor of the designed system is 99.09% while the pH measurement using pH Meter Analog Kit sensor is 91.33%.
Review of Reliability of Solar Hybrid Generator System as Temporary Power Supply for Offshore Industry for Sustainable Platform Application of Environmentally Friendly Energy Sources Haryani Alamsyah; Ardiansyah; Sunardi
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.1116

Abstract

This paper discusses the application of two combined power generation systems namely generator and Solar Panel in improving the efficiency of offshore power supply during downtime. Ensuring reliable and sustainable power in remote and limited range environments is critical for sustainable platform maintenance and sustainability. Traditional power sources, such as diesel generators, although reliable, have high carbon emissions and operational costs. Solar energy, although environmentally friendly, faces spatial constraints in offshore. A hybrid system combines photovoltaic (PV) panels and conventional generators, which provides an optimal balance between renewable energy and reliability. This study focuses on the system design, operational benefits, and its impact on wellhead platform sustainability, highlighting its efficiency and environmental sustainability.
Penetration Testing with OWASP Mobile for Android Security Optimization Deco Aprilliansyah; Imam Riadi; Sunardi
Journal of Cyber Health and Computer Vol 1 No 1 (2023): Journal of Cyber Health and Computer (JOCHAC)
Publisher : SIBER PRESS Universitas SIBERMU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64163/jochac.v1i1.3

Abstract

Security and privacy are very important on android devices to prevent crimes such as the theft of data and confidential information for users. There are many attack methods that can be carried out by irresponsible parties, one of which is penetration testing. The need to improve the security of android devices from cyber crimes that can occur at any time so that the security and information belonging to users are more secure. Based on this, this study offers how attackers perform penetration testing on targets using android devices using the OWASP Mobile framework based on the steps in the Security Testing Guide (OWASP MSTG) manual. The penetration testing activity is carried out in five steps. Namely, injection of backdoors on the application, finding vulnerabilities, scanning, exploiting and making reports. The results of this study obtained some information on application IOCs and other information in the form of contact data, SMS data, and audio records belonging to the attacked device. Based on this, this research can be used by security parties to patch loopholes in their applications and systems.
Pengembangan Korpus Bahasa Minang pada Spell Error Corpus for Minang Language (SPEML) Dewi Soyusiawaty; Abdul Fadlil; Sunardi Sunardi
Jurnal Nasional Teknologi dan Sistem Informasi Vol 11 No 1 (2025): April 2025
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v11i01.2025.17-26

Abstract

Bahasa Minang merupakan bahasa daerah kelima dengan jumlah penutur terbanyak di Indonesia, namun minim sumber daya linguistik dan teknologi pemrosesan bahasa alami yang mendukung. Keterbatasan ini menyulitkan pengembangan aplikasi seperti mesin penerjemah dan pemeriksa ejaan otomatis. Saat ini hanya tersedia korpus kesalahan ejaan dalam Bahasa Indonesia dengan kesalahan hanya satu karakter pada setiap token. Korpus belum mencakup kesalahan penulisan kata serapan. Selain itu belum ada korpus khusus yang dikembangkan untuk kesalahan ejaan dalam bahasa daerah di Indonesia, termasuk Bahasa Minang. Penelitian ini bertujuan mengembangkan korpus kesalahan ejaan Bahasa Minang, yang dinamakan Spell Error Corpus for Minang Language (SPEML). SPEML mencakup kesalahan ejaan sampai dengan tiga karakter dan kesalahan penulisan kata serapan. Pengembangan SPEML melibatkan proses pengumpulan data korpus Bahasa Minang, data kata serapan yang sering digunakan, serta pembentukan korpus kesalahan ejaan. Kesalahan ejaan dibentuk dengan mengacak token secara sistematis pada satu karakter, dua karakter, hingga tiga karakter, disesuaikan dengan panjang token. Hasil penelitian ini berupa SPEML yang mampu mengklasifikasikan tujuh jenis kesalahan ejaan, yaitu: penyisipan karakter, penghapusan karakter, pindah posisi karakter, penggantian karakter, kesalahan tanda baca, kesalahan kata nyata, dan kesalahan penulisan kata serapan. Pengembangan SPEML menjadi langkah awal dalam mendukung pengembangan teknologi pemrosesan bahasa alami untuk bahasa daerah, khususnya Bahasa Minang.
Pengujian Kualitatif Aplikasi Informasi Gempa Bumi dalam Bentuk Suara untuk Tunanetra Joko Supriyanto; Abdul Fadlil; Sunardi Sunardi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 3 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i3.1482

Abstract

Indonesia memiliki potensi gempa bumi yang cukup besar karena dilalui tiga lempeng aktif, yaitu lempeng Indo-Australia, Eurasia, dan Pasifik. Permasalahannya penyandang tunanetra masih kesulitan mendapatkan informasi gempa bumi yang masih berupa teks sehingga perlu dibuat aplikasi untuk mengubah teks ke suara. Tujuan pengembangan aplikasi ini diharapkan penyandang tunanetra mudah mendapatkan informasi gempa bumi melalui suara. Metodologi pengembangan aplikasi untuk mengubah informasi gempa bumi dari teks ke suara menggunakan model Fountain dan aplikasi dikembangkan menggunakan dua cara. Cara pertama dengan melakukan perekaman suara dalam bentuk wav kemudian digabunggabungkan atau disebut dengan Text to Speech Concatenation Wave Recording. Cara kedua, menggunakan Speech Aplication Programing Interface yang merupakan aplikasi teks ke suara bawaanWindows. Selanjutnya kedua aplikasi di uji untuk melihat kejelasan suara yang dihasilkan. Hasil pengujian terhadap 15 siswa Madrasah Tsanawiyah Yayasan Kesejahteraan Tuna Netra Islam menggunakan metode kualitatif didapatkan kejelasan suara yang dihasilkan dengan Concatenation Wave Recording mencapai 91,11% atau ada 13 siswa mendengar dengan jelas, sedangkan menggunakan Speech Aplication Programing Interface mencapai 95,56% atau 14 siswa mendengar dengan jelas.
Intelligent Monitoring of Smoking Prohibition in Public Spaces Using YOLOv8: Real-Time Detection and Telegram Notifications Salsabilla Azahra Putri; Murinto; Sunardi
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.10519

Abstract

This study aims to develop an intelligent monitoring system that supports the enforcement of smoking prohibition in public spaces by leveraging advancements in Artificial Intelligence (AI) and deep learning. Utilizing the YOLOv8 (You Only Look Once version 8) object detection model, the system is designed to identify smoking activities in real-time and promptly send alerts through the Telegram messaging platform. The proposed method integrates real-time object detection with an automated notification system, ensuring responsive enforcement across diverse environmental conditions, including normal lighting, low-light scenarios, and partially occluded views. The system architecture combines the YOLOv8 model for detection and a Python-based Telegram bot for communication. The model was evaluated using a test dataset collected from various public spaces. It achieved an F1-Score of 81% and a confusion matrix accuracy of 89%, indicating a high level of reliability and precision in identifying smoking behaviors. Additionally, the average notification response time via Telegram was 1.5 seconds, enabling near-instantaneous alerting for enforcement personnel. In conclusion, the results demonstrate that the system is both accurate and efficient in detecting smoking activities. Its robust performance across different conditions and rapid alert mechanism positions it as a practical and scalable solution to enhance compliance with smoking regulations in public areas.
Interactive 3D Rendering of the Human Heart on Mobile Web Using WebGL and Three.js Sunardi Sunardi; Herman Herman; Krisna Astianingrum
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 1, March 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v14i1.27793

Abstract

The advancement of web-based 3D visualization technology has created new opportunities for interactive medical learning, particularly in anatomy education. The existing rendering techniques for the mobile web still face challenges due to limitations of cellular and mobile device capacity This study focuses on optimizing real-time rendering of an interactive 3D heart model for mobile web platforms using WebGL and Three.js. Several optimization techniques were applied, including Draco compression, polygon reduction, and the GLB file format, to achieve high rendering performance while maintaining anatomical accuracy. Performance testing was conducted on three device tiers—low-, mid-, and high-end—under different network conditions. Key metrics such as frame rate, loading time, and memory usage were systematically measured. The optimized system achieved stable rendering at 58–60 FPS with a reduced loading time from 6.2 seconds to 1.4 seconds, demonstrating strong scalability and responsiveness. From an educational perspective, this interactive 3D heart model enables medical students, trainees, and patients to dynamically explore cardiac anatomy, improving their spatial understanding of complex structures without requiring high-end VR hardware. The novelty of this work lies in its optimization pipeline tailored for mobile web, making real-time anatomical visualization lightweight and accessible. Future research will involve larger user studies to evaluate educational effectiveness.
PREDICTIVE MODEL FOR COOPERATIVE LOAN RECIPIENT ELIGIBILITY USING SUPERVISED MACHINE LEARNING Rajunaidi Rajunaidi; Herman Yuliansyah; Sunardi Sunardi; Murinto Murinto
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.7235

Abstract

Non-performing loans remain a critical challenge for cooperatives as they can undermine financial stability, erode member trust, and impede institutional growth. This study develops a predictive model for cooperative loan eligibility using supervised machine learning techniques and a novel three-class classification framework, Approved, Consideration, and Rejected, to support more objective and transparent decision-making. A dataset of 1,000 borrower records containing demographic and financial attributes was analyzed using Naive Bayes, Decision Tree, and Random Forest algorithms implemented in RapidMiner. The Random Forest algorithm achieved the best predictive performance with an accuracy of 96.02%, demonstrating its robustness and reliability compared to the other models. The proposed three-class system differentiates this study from conventional binary classification approaches, enabling finer distinctions among borrower categories and promoting fairness in cooperative credit evaluations. The findings provide practical guidance for cooperatives to adopt data-driven, transparent, and accountable decision-making systems that reduce manual bias and strengthen financial inclusion. Overall, the proposed three-class model built through a supervised learning framework offers a reliable, fair, and scalable solution to support sustainable lending practices and enhance risk management in cooperative institutions.
Temporal Video Analysis for Identifying Traditional Malay Buildings Using Residual Network and Vision Transformer Sri Winiarti; Sunardi; Abdul Fadlil
Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Vol. 12 No. 1 (2026): April 2026
Publisher : Universitas Muhammadiyah Surakarta

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

Abstract

The lack of digital documentation in preserving traditional Malay architecture faces serious challenges, especially with the modernization that slowly obscures the shape and authenticity of the building. Essential elements such as roof shapes, stage structures, and typical ornamental carvings are difficult to identify manually without special skills and considerable time. Malay architecture is an integral part of Indonesia's cultural heritage that needs to be documented systematically and digitally. Along with advances in Artificial Intelligence (AI) technology, traditional buildings' intense learning, identification, and classification can now be done automatically through video-based visual data processing. This study uses a video-based deep learning approach to develop and evaluate a classification system for traditional Malay buildings. Two types of architecture are used: Residual Network (ResNet) and Vision Transformer (ViT). The dataset in the form of videos of traditional buildings was collected from the Pekanbaru, Riau Province, then processed through frame extraction, spatial-temporal augmentation, and visual annotation, resulting in a total of 1,500 frames as training data. This study also presents a novel aspect by comparing the performance of five deep learning models: ResNet18, ResNet34, ResNet50, ResNet101 (CNN), and ViT based on self-attention. ViT, which is rarely used in traditional video-based architecture, shows competitive accuracy and proves its effectiveness in understanding global visual relationships. The training method is carried out using supervised learning and evaluated based on classification accuracy. The test results show that all models can accurately identify visual features of Malay architecture. ResNet50 recorded the highest accuracy (100%), followed by ResNet18 (96.0%), ResNet101 (94.9%), ResNet34 (93.9%), and ViT (93.9%). These findings strengthen the potential for utilizing deep learning in cultural preservation through a video-based automatic documentation system.
Blockchain-Based Preservation Framework for Network Forensic Evidence Integrity Mirza Sutrisno; Sunardi; Rusydi Umar
Sienna Vol 7 No 1 (2026): Sienna Volume 7 Nomor 1 Juli 2026
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v7i1.2377

Abstract

Network forensic investigations rely heavily on the integrity and traceability of Packet Capture (PCAP) files as primary digital evidence. Digital Forensic Research Workshop (DFRWS) implementations commonly employ centralized preservation mechanisms that remain vulnerable to unauthorized modification and provide limited provenance transparency. To address these limitations, this study proposes a blockchain-based preservation framework integrated into the preservation phase of the DFRWS model. The framework combines SHA-256 cryptographic hashing for integrity verification, blockchain-based provenance logging, and distributed ledger validation while maintaining off-chain evidence storage. Unlike many existing blockchain-based forensic frameworks that primarily emphasize provenance recording and chain-of-custody management, this study evaluates evidence preservation through an integrated validation approach consisting of controlled tampering simulation, cryptographic sensitivity analysis, and preservation latency measurement. Experimental evaluation using PCAP datasets representing attack and baseline traffic conditions demonstrated that unauthorized evidence modification was successfully detected through hash inconsistencies. Avalanche Effect analysis produced a value of 50.39%, confirming the strong cryptographic sensitivity of the SHA-256 mechanism to minimal data alteration. While SHA-256 enables reliable tampering detection, the integrated blockchain architecture provides tamper-resistant provenance recording, chain-of-custody traceability, and distributed verification of evidence integrity. The framework achieved an average preservation latency of 2.057 seconds within the experimental environment, providing preliminary evidence of feasibility for blockchain-assisted forensic logging under controlled conditions. Although no direct comparison with alternative preservation approaches was conducted, the findings provide a proof-of-concept validation and contribute empirical evidence regarding the potential of blockchain-supported provenance management to enhance trustworthiness and integrity assurance in network forensic workflows.
Co-Authors Abd. Rasyid Syamsuri Abdul Djalil Djayali Abdul Fadlil Abdul Fadlil Abdul Fadlil Abdul Fadlil Abdul Fadlil Abdul Fadlil Abdul Hadi Achmad Dito Ahmad Azhar Kadim Ahmad Ikrom Ahmad Raditya Cahya Baswara Ahmad Syahril Mohd Nawi Aldi Bastiatul Fawait Fawait Alfian Ma’arif Alwas Muis Anggit Pamungkas Anton Yudhana Anton Yudhana Anton Yudhana Anton Yudhana Apik Rusdiarna Indra Praja Ardiansyah Ardiningtias, Syifa Riski Ardiningtias Arief Setyo Nugroho Ariful Aziz Arizona Firdonsyah Asep Setyaji Azrul Mahfurdz Azrul Mahfurdz Azrul Mahfurdz Bambang Subana Budi Santosa Deco Aprilliansyah Denis Prayogi Denis Prayogi Dewi Sahara Dewi Sahara Nasution Dewi Soyusiawaty Doddy Teguh Yuwono Dwi Aryanto Dwi Aryanto Eko Aribowo Eko Handoyo Ermin Al Munawar Ermin Ermin Evrynda Widyasari Puspa Dewi Faqihuddin Al-anshori Fatma Nuraisyah, Fatma Fiftin Noviyanto Fijaya Dwi Bima Sakti Putra Fijaya Dwi Bima Sakti Putra Fijaya Dwi Bimasakti Firdonsyah, Arizona Fitriyani Tella Fitriyanto, Rachmad Furizal Furizal Furizal Furizal Gema Kharismajati Guguh Makbul Rahmadani Fitra H. Ahmad Hartanta, Agus Jaka Sri Hartini, Sri Haryani Alamsyah Herman Herman Herman Herman Herman Herman Herman Yuliansyah Hernawan Aji Nugroho Heru Hermawan Hikmatyar Insani Himawan I Azmi Ibnu Muakhori Ihyak Ulumuddin Iif Alfiatul Mukaromah Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Irhash Ainur Rafiq Jafri Din Janu Prasetyo januari audrey January Audrey Joko Supriyanto Joko Triyanto Kemal Thoriq Al-Azis Khoir, Syaiful Amrial Krisna Astianingrum Lina Handayani Luh Putu Ratna Sundari Lukman Reza Lukman Reza M Murinto M. Ihya A. Elfatih Mardhiatul Ihsaniah Miftahuddin Fahmi Mirza Sutrisno Mitra Adhimukti Muchamad Kurniawan Muchlas, Muchlas Muchrisal Muchrisal Muchrisal Muflih, Ghufron Zaida Muh. Hajar Akbar Muhammad Amirul Mu'min Muhammad Fauzan Gustafi Muhammad Fauzan Gustafi Muhammad Kunta Biddinika Muhammad Kunta Biddinika Muhammad Nashiruddin Darajat Muhammad Nur Ardhiansyah Muhammad Sabiq Dzakwan Muhammad Sabiq Dzakwan Muntiari, Novita Ranti Murinto Murinto Musri Iskandar Nasution Muzakkir Pangri Nasirudin Nasirudin Nazuki Nazuki Nugroho, Hernawan Aji Nur Makkie Perdana Kusuma Nur Ratnawati Nuril Mustofa Pahlevi, Ryan Fitrian Panggah Widiandana Pradana Ananda Raharja Priyatno Priyatno Puji Ristianto Puriyanto, Riky Dwi Rachmad Fitriyanto Rachmad Very Ananda Saputra Raja Bidin Raja Hassan Rajunaidi Rajunaidi Rani Rotul Muhima Restu Prima Yudha Restu Prima Yudha Rezki Ramdhani Ricky Irawan Putra Rifkan Firdaus Rio Dwi Listianto Rio Ikhsan Alfian Rosmini Rosmini Rusydi Umar Rusydi Umar Rusydi Umar Rusydi Umar Saberi Mawi Sahiruddin Sahiruddin Saifullah, Shoffan Salsabilla Azahra Putri Saputro, Mochammad Yulianto Andi Septiyawan Rosetya Wardhana Sharipah Salwa Mohamed Son Ali Akbar Sri Rahayu Astari Sri Rahayu Astari Sri Winiarti Sri Winiarti Subrata, Arsyad Cahya Sukma Aji Supriyanto Syaiful Khoir Syed Abdullah Syed Abdullah Syifa Riski Ardiningtias Syifa'ah Setya Mawarni Syifa’ah Setya Mawarni Tole Sutikno Tomy Chandra Mahendra Tresna Yudha Prawira Tri Antoro Tristanti, Novi Ummi Syafiqoh Virasanty Muslimah Wahyu S Aji Watra Arsadiando Wawan Darmawan Wijaya, Setiawan Ardi Yana Mulyana Yuniarti Lestari Yuwono Fitri Widodo