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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Majalah Kedokteran Gigi Indonesia Scientific Journal of Informatics ELINVO (Electronics, Informatics, and Vocational Education) EXPOSURE JOURNAL Indonesian Journal of Science and Technology JOIN (Jurnal Online Informatika) Sistemasi: Jurnal Sistem Informasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal Taman Vokasi UICELL Conference Proceeding SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan IJEMS (Indonesian Journal of Environmental Management and Sustainability) ILKOM Jurnal Ilmiah Jiko (Jurnal Informatika dan komputer) PeTeKa NUSANTARA : Jurnal Ilmu Pengetahuan Sosial JURNAL PENDIDIKAN TAMBUSAI Jurnal Basicedu Journal on Education JURTEKSI Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) English Language Teaching Educational Journal Jurnal Pendidikan dan Konseling Journal of Information Systems and Informatics Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Vocational Education Studies (JOVES) Jurnal Abdi Insani G-Tech : Jurnal Teknologi Terapan International Journal of Advances in Data and Information Systems Indonesian Journal of Computing, Engineering, and Design English Teaching and Linguistics Journal (ETLiJ) Indonesia Berdaya Journal Social Science And Technology For Community Service Sawala : Jurnal pengabdian Masyarakat Pembangunan Sosial, Desa dan Masyarakat Jurnal Pengabdian Masyarakat Indonesia Vocational : Jurnal Inovasi Pendidikan Kejuruan IJORER : International Journal of Recent Educational Research Jurnal Abdi Masyarakat Indonesia Mechanical Engineering for Society and Industry METAL : Jurnal Sistem Mekanik dan Termal Jurnal Algoritma Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Basicedu STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Priviet Social Sciences Journal Scientific Journal of Informatics KUNKUN Journal of Multidisciplinary Research Indonesian Journal of Innovation Multidisipliner Research Jurnal Karya untuk Masyarakat (JKuM)
Muhammad Kunta Biddinika
Universitas Ahmad Dahlan
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Performance Analysis for Classification of Malnourished Toddlers Using K-Nearest Neighbor Lonang, Syahrani; Yudhana, Anton; Biddinika, Muhammad Kunta
Scientific Journal of Informatics Vol 10, No 3 (2023): August 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i3.45196

Abstract

Purpose: Malnutrition in toddlers is a nutritional issue that Indonesia is still dealing with. Toddlers can suffer from decreasing cognitive and physical abilities, as well as being categorized as having a high risk of death. Early detection is crucial for preventing this and providing appropriate treatment if malnutrition is detected. Classification is a machine-learning technique widely used in disease detection. Because it is simple and easy to implement, K-Nearest Neighbor is the most used classification algorithm. Detecting malnutrition can be done automatically and more quickly by utilizing classification and machine learning algorithms. The aim of this study was to analyze performance to find out which model is best for detecting malnutrition by evaluating the performance of classification using KNN with the Euclidean distance function.Methods: The dataset used in this study is the nutritional status of toddlers from Puskesmas Ubung. The classification method proposed in this research is the KNN algorithm with Euclidean distance. There are three scenarios for the classification model that will be used. Performance classification will compare each model in terms of accuracy, precision, recall, f1-score, and mean absolute error.Results: The experimental results show that KNN k = 15 using the first model generates excellent classification when classifying malnourished toddlers using the Euclidean distance function. The model obtains 91% accuracy, 86.6% precision, 83.8% recall, 85.2% recall, and a mean absolute error of 0.09.Novelty: In this experiment, we analyzed the performance of the KNN to classify malnourished children using a nutritional status dataset, which resulted in an excellent classification that could be used for early detection.
Aplikasi Mobile Native untuk Digital Cockpit pada Sistem Human Digital Twin Zein, Wahid Alfaridsi Achmad; Fadlil, Abdul; herman; Kunta Biddinika, Muhammad; Yulianto, Dinan
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2206

Abstract

Teknologi Human Digital Twin telah membuka peluang baru dalamoptimalisasi sistem Digital Cockpit, terutama dalam pemantauankesehatan pengguna. Urgensi penelitian ini didorong oleh tingginyaangka kematian akibat penyakit kardiovaskular di Asia Tenggara,khususnya di Indonesia, yang menempati posisi kedua. Penelitian inibertujuan untuk mengembangkan dan mengintegrasikan teknologiHuman Digital Twin ke dalam Digital Cockpit, memungkinkanpemantauan kondisi kesehatan secara real-time melalui sensor yangtertanam dalam perangkat wearable. Data kesehatan yang diperoleh,diproses dan divisualisasikan dalam antarmuka interaktif yangdirancang dengan pendekatan low-fidelity wireframe menggunakanFigma, sehingga memudahkan pengguna dalam memahamiinformasi yang disajikan. Aplikasi diuji menggunakan metode BlackBox Testing untuk memastikan bahwa setiap fitur berfungsi sesuaidengan yang diharapkan tanpa memerlukan akses langsung ke kodeprogram. Selain itu, pengujian dilakukan dalam lingkungan simulasiuntuk mengevaluasi pengalaman pengguna serta efektivitas sistemdalam menyajikan informasi kesehatan. Hasil pengujianmenunjukkan bahwa sistem dapat beroperasi dengan baik sesuaidengan skenario yang dirancang, dengan antarmuka yang intuitif danresponsif terhadap interaksi pengguna. Penelitian ini berkontribusidalam bidang Teknologi Informasi dan Rekayasa Perangkat Lunakdengan menghadirkan solusi berbasis Human Digital Twin untukDigital Cockpit. Untuk pengembangan lebih lanjut, disarankaneksplorasi fitur prediktif berbasis kecerdasan buatan sertaoptimalisasi sistem agar dapat beradaptasi dengan berbagaiperangkat dan kebutuhan pengguna yang lebih luas.
Evaluating the implementation of E-portfolio-based learning in ELT through the CIPP model: A qualitative descriptive study in Indonesia Ali, Raden Muhammad; Hadi, Samsul; Purbani, Widyastuti; Nuriyah Muso Utomo, Sinta; Kunta Biddinika, Muhammad; Hastuti, Dwi
English Language Teaching Educational Journal Vol. 8 No. 3 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/eltej.v8i3.14853

Abstract

E-portfolios have increasingly been integrated into higher education to promote reflection, documentation, and learner autonomy; however, their effectiveness in English Language Teaching (ELT) in Indonesia remains insufficiently examined. This study evaluates the use of e-portfolio-based learning in an Evaluation in ELT course by employing the Context, Input, Process, and Product (CIPP) evaluation model. Four research questions guided the investigation, focusing on the relevance of the programme context, the adequacy of inputs, the implementation processes, and the resulting learning outcomes. Using a descriptive qualitative design, data were collected through classroom observations, semi-structured interviews, and documentation of students’ e-portfolios. The participants consisted of one lecturer and thirty-seven seventh-semester students (ten males and twenty-seven females) enrolled in the course during the 2022/2023 academic year; additionally, three students were purposively selected for in-depth interviews. The findings indicate that (1) the context supported the adoption of e-portfolios as it aligned with course needs and learning objectives; (2) the input—including digital facilities, infrastructure, and access to online tools—was adequate for implementation; (3) the process showed active student engagement, although challenges such as connectivity issues, device limitations, and time constraints were present; and (4) the product demonstrated positive learning outcomes, including improved documentation practices, better understanding of course material, and increased digital literacy. The study underscores the potential of e-portfolios to enhance ELT learning and suggests the need for more structured feedback mechanisms and technical support to optimise future implementation.
Aplikasi Mobile Augmented Reality Tanpa Marker pada Perawatan Pasien Penyakit Jantung Herman, Herman; Pidekso Putro, Aldibangun; Biddinika, Muhammad Kunta
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 6: Desember 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025126

Abstract

Penelitian ini bertujuan merancang dan mengembangkan aplikasi Augmented Reality (AR) markerless berbasis Android bernama HerManAR (Heart of Human) yang ditujukan untuk mendukung perawatan pasien penyakit jantung. Aplikasi ini dirancang untuk menampilkan model 3D jantung manusia secara interaktif, sekaligus menyajikan informasi kondisi jantung pasien secara real-time. Metode pengembangan yang digunakan adalah Multimedia Development Life Cycle (MDLC), yang meliputi tahapan konseptualisasi, desain, pengumpulan materi, perakitan, pengujian, dan distribusi. Hasil penelitian menunjukkan bahwa aplikasi HerManAR berhasil berjalan dengan baik pada perangkat Android dan mampu memberikan visualisasi 3D jantung yang akurat serta informasi medis yang relevan. Dengan antarmuka yang intuitif dan mudah digunakan, aplikasi ini memungkinkan tenaga kesehatan untuk menganalisis kondisi jantung pasien secara lebih efektif, mendukung proses pengobatan, tindakan medis, dan monitoring berkelanjutan. Kesimpulannya, HerManAR merupakan solusi inovatif yang mengintegrasikan teknologi AR dalam bidang kesehatan kardiovaskular, memberikan manfaat praktis dalam meningkatkan kualitas layanan dan pengelolaan pasien penyakit jantung.   Abstract This study aims to design and develop an Android-based Augmented Reality (AR) application called HerManAR (Heart of Human) to support the care of patients with heart disease. The application is designed to display an interactive 3D model of the human heart while providing real-time information about the patient’s heart condition. The development method used is the Multimedia Development Life Cycle (MDLC), which includes the stages of conceptualization, design, material collection, assembly, testing, and distribution. The results demonstrate that HerManAR runs effectively on Android devices, delivering accurate 3D heart visualization and relevant medical information. With an intuitive and user-friendly interface, the application enables healthcare professionals to analyze patients’ heart conditions more effectively, supporting treatment, medical interventions, and continuous monitoring. In conclusion, HerManAR is an innovative solution that integrates AR technology into cardiovascular healthcare, offering practical benefits in enhancing service quality and patient management.  
Pelatihan manajemen pelaporan organisasi berbasis penulisan jurnal ilmiah Diyah Puspitarini; Nunung Damayanti; Nabilah Amalia; Mona Sholihah; Andre Kusnadi; Muhammad Kunta Biddinika
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 2 (2024): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i2.22848

Abstract

Abstrak Nasyiatul Aisyiyah (NA) sebagai ormas berperan penting dalam mendukung kehidupan bernegara. Karena itu NA perlu melakukan manajemen yang lebih baik dan rapi dalam mekanisme pelaporannya. Sayangnya, laporan-laporan kegiatan di NA masih berbentuk tumpukan kertas yang tidak terbaca oleh masyarakat. Padahal, laporan tersebut bisa menjadi satu sumbangsih keilmuan NA. Karena itu, Pimpinan Wilayah (PW) NA mengajak Universitas Ahmad Dahlan (UAD) supaya laporan-laporan kegiatannya lebih bermanfaat bagi masyarakat. Dengan skema pengabdian kepada masyarakat, UAD berkolaborasi dengan PWNA untuk memberikan wawasan dan pelatihan penggunaan mekanisme manajemen pelaporan dalam organisasi berbasis penulisan jurnal ilmiah. Peserta pelatihan adalah PWNA DI Yogyakarta dan perwakilan Pimpinan Daerah (PD) NA Yogyakarta, Sleman, Bantul, Gunungkidul, dan Kulonprogo. Topiknya adalah manajemen organisasi dan pengenalan publikasi ilmiah di jurnal akademik. Selain itu, ada pula pendampingan pembuatan tulisan ilmiah berdasarkan laporan kegiatan dalam organisasi. Karena masih masa pandemi Covid-19, pelatihan dilaksanakan secara blended method; luring dan daring, secara synchronous dan asynchronous learning. Alatnya adalah pendukung virtual class seperti Google Classroom, Zoom Meeting, maupun YouTube Streaming. Kegiatan ini dipublikasikan di jurnal pengabdian masyarakat atau prosiding seminar nasional. Kata kunci: manajemen organisasi; pelaporan kegiatan; publikasi ilmiah Abstract Nasyiatul Aisyiyah (NA) as an NPO plays an important role in the community system. Therefore, NA needs to conduct better and neater management including its reporting mechanisms. Currently, activity reports at NA are still in the piles of paper. They are unreadable publicly. Whereas they could be one of NA's contributions. Therefore, the Provincial Board of NA in Special Region of Yogyakarta (PWNA DIY) took the initiative to invite Ahmad Dahlan University (UAD) so that reports on its activities would have greater benefits for the community. With a community service program, UAD collaborates with PWNA to provide insight and training on the utilization of reporting management mechanisms in organizations based on scientific journal writing. The training participants were PWNA DIY and representatives of the Regency Board of NA (PDNA) from Yogyakarta, Sleman, Bantul, Gunungkidul and Kulonprogo. The topics were organizational management and the introduction of scientific publications in academic journals. There is also assistance in scientific writing based on organization’s activity reports. The training has been carried out in the blended method; offline and online, both synchronously and asynchronously due to Covid-19. It used Google Classroom, Zoom, and YouTube. This activity is also published in academic journals or seminar proceedings. Keywords: organizational management; activities reporting; scientific publication
Implementasi Model 3D Jantung Manusia pada Aplikasi Markerless Augmented Reality Aldibangun Pidekso Putro; Herman; Muhammad Kunta Biddinika; Suwanti
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3657

Abstract

Augmented Reality (AR) has become an innovative technology in the healthcare sector. In the medical context, AR offers significant potential, such as supporting medical training, enhancing anatomical visualization, and improving understanding of patient conditions. Cardiac anatomy training and education in the medical world still rely heavily on conventional methods including 2D diagrams, physical models, or desktop-based computer simulations, which are less interactive, inflexible, and less realistic. This research aims to develop a markerless AR application for the visualization of 3D models of the human heart to improve understanding of the heart structure in the context of heart disease treatment. The process starts with the design of a 3D model using Blender, which is then imported into Unity to be integrated with the AR Foundation, allowing the placement of the model in the real world without markers. This AR application was tested on an Android Smartphone device. The test results showed successful visualization of the heart model accurately over the human chest (physical reality). This application makes a significant contribution in medical education by offering an interactive and realistic solution. This research opens up opportunities for the application of AR in health education and medical training. Further development could include interactive features simulating the circulatory system as a whole.
School Management Policy in Determining Vocational Competency Test Schemes for Vocational Education Sayuti, Muhammad; Nur Setyanto, Barry; Kunta Biddinika, Muhammad; Mulyani, Sri; Khoirul Ma’arif, Muhammad; Suwardi, Suwardi; Harinto, Joko; Wijantoro, Fuad; Agus Susanto, Harry; Hasanah, Noviatun; Chuma Opwora, Meshack
IJORER : International Journal of Recent Educational Research Vol. 7 No. 2 (2026): March
Publisher : Faculty of Teacher Training and Education Muhammadiyah University of Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46245/ijorer.v7i2.1252

Abstract

Objective: Vocational education plays a strategic role in preparing competent workers aligned with industrial needs, yet the implementation of the Skills Competency Test (UKK) still faces issues such as gaps between taught competencies and industry demands, mismatches between education and the labor market, and the lack of UKK standardization. This study aims to analyze vocational school policies in designing UKK schemes to enhance the relevance of vocational education to labor market needs, focusing on the effectiveness of these policies in preparing students to face workplace challenges. Method: The research method is carried out through case studies with the stages of formulating research focus, data collection, data processing and analysis, triangulation of findings, and drawing conclusions as a basis for recommendations for improving the vocational education system. Results indicate UKK scheme selection relies on internal and external factors, particularly industry synchronization. The industrial scheme is more technologically adaptive and cost-efficient than LSP. However, trade-offs include limited facilities and the short three-year LSP certificate validity relative to industry demands. Periodic evaluation of materials and tools is essential to address gaps, enhance quality, and prepare graduates for global competition. Novelty: Going beyond procedural compliance, this study offers new insights into UKK standardization by analyzing strategic scheme selection. This study integrates policy analysis with implementation results to redefine UKK as a mechanism for operationalizing national standards and enhancing graduates' global competitiveness.
Evaluating The Application of Library Information System Technology using the PIECES Method in Remote Areas Yudhana, Anton; Herman, Herman; Suwanti, Suwanti; Biddinika, Muhammad Kunta
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1539.250-261

Abstract

Over five years, the implementation of the library information system at IKIP Muhammadiyah Maumere faced a challenge, frequent errors during data input that hindered users from fully utilizing the system. These issues not only affected users’ interest but also highlighted the significance of the human factor in shaping the quality of an information system. To make full use of the system, it was crucial to identify and address the problems associated with it. This research delved into the experiences of 242 library information system users, including lecturers, students, and librarians, by using the PIECES method. The goal was to analyze users’ satisfaction and uncover any underlying issues within the system. The results of the PIECES analysis revealed average satisfaction scores, showcasing users' contentment with the system's performance (3.77), information (3.79), economy (3.80), control (3.77), efficiency (3.77), and service (3.89). These findings suggest that the library information system has been meeting users' expectations. However, a significant problem emerged in the performance variable, particularly in the system stability. Additionally, issues related to data compatibility, duplication in storage, and users’ authority management, access control, and system errors were observed in the information and control variables. Based on these identified challenges, recommendations for system improvement were made by targeting low satisfaction levels. Proposed solutions involve enhancing data management, storage practices, user access control, and reducing the risk of system errors, ensuring more efficient and reliable library information system.
HUMAN DIGITAL TWIN MODELING FOR ADVANCING ARRHYTHMIA TREATMENT herman herman; Moch. Nasheh Annafii; Muhammad Kunta Biddinika
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 3 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i3.10656

Abstract

Heart disease in all its forms remains a significant health threat. Arrhythmia is a type of heart disease whose diagnosis and treatment still primarily rely on conventional electrocardiogram-based diagnosis. However, this approach is limited, as it is reactive and captures cardiac conditions only at the time of electrocardiogram measurement, making it unable to continuously and individually monitor arrhythmia progression for each patient. This study explores digital twin technology and develops human digital twin models for the treatment of arrhythmia patients. The modeling framework integrates three core components: geometrical modeling, physical modeling, and data-driven modeling to represent the human heart and cardiovascular system in a digital environment. The output of this integrative process has been implemented in the initial prototype of the Human Digital Twin Cockpit, which is designed to treat arrhythmia. This prototype enhances the existing diagnosis and treatment, and also incorporates a proactive simulation system. Evaluation and system testing have successfully demonstrated their ability to integrate geometric data from medical imaging and physical data from electrophysiological sensors to predict arrhythmia in various scenarios
A Text-Based Analysis of SDGs Goal 4 Representation in Informatics and Computer Science Syllabi Indah Rahma Ilmiana; Muhammad Kunta Biddinika; Herman
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 2 (2025): November 2025
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v10i2.89955

Abstract

Higher education curricula play an important role in supporting the achievement of Sustainable Development Goals (SDGs), particularly SDGs Goal 4: Quality Education, through the development of relevant and sustainable learning. The purpose of this study is to look at the connections between the SDGs Goal 4 targets and the computer science and informatics curricula at universities on the island of Java. 552 course syllabi from current APTIKOM member universities are examined in this study using a text-based document analysis design. The analysis focuses on three frequently accessible syllabus components: course name, course description, and learning outcomes. The Term Frequency-Inverse Document Frequency (TF-IDF) approach was used to represent the textual data after it had been pre-processed and mapped using SDGs keywords to create initial labels. Support Vector Machine (SVM) was used as the comparison model and K-Nearest Neighbors (KNN) as the baseline model for the classification procedure. The results showed a strong relationship between most curricula and Target 4.4, which stresses the development of technical and digital skills. In terms of performance, the KNN model achieved an accuracy of 83%, while the SVM model showed a higher accuracy of 86% with more consistent performance on high-dimensional data and imbalanced class distributions. In conclusion, the syllabus analysis methodology based on keyword mapping and machine learning can be used as a systematic exploratory framework for identifying the relationship between higher education curriculum and SDGs.
Co-Authors Abdul Fadlil Abrar Ridwan Aditya Kolakoti Affan, Dhava Chairul Agus Aktawan, Agus Agus Susanto, Harry Ahmad Azhari Ahmad Kafrawi Nasution Al Baqir, Mufaddal Aldibangun Pidekso Putro Aldri Frinaldi Alfaridhi, Dio Fahmi Alghiffari, Eka Kevin Ali, Raden Muhammad Aliyah Rasyid Baswedan Alper Calam Aminuyati Amrullah, Abdullathif Karim Ananda, Anisa Rizki Andre Kusnadi Anton Yudhana Areeprasert, Chinnathan Aristi Utami, Dyan Asep Bayu Dani Nandiyanto Asep Setyaji Asih, Hayati Mukti B. A. Budiman Bakhtiyor Nakhshiniev Bambang Hariyadi Bayu Febriyanto Bella Okta Sari Miranda Budi Santosa Budi Santosa Chuma Opwora, Meshack Dahlan, Bakrun Desi Lestari Dewi Soyusiawaty Dhias Cahya Hakika Dhias Cahya Hakika Dini Khairunnisa Tanjung Diyah Puspitarini Dori Yuvenda Dwi Hastuti Edhy Susatya Edhy Susatya, Edhy Egi Dio Bagus Sudewo Eka Afifah F. Triawan Fadliondi Fitri Nur Mahmudah Fitri Nur Mahmudah Fitriah Fitriah Fitriah Fumitake Takahashi Gilang Isa Baskara Hainur Rasyid Harinto, Joko Hasanah , Noviatun Hasanah, Noviatun Hasnul Azwan Herman Herman Herman Herman Herman Herman Herman Yuliansyah, Herman Heru Raharjo Husna, Jannatul Ikhlasul Amal Imam Riadi Indah Rahma Ilmiana Indryanto, Mokhamad Arif Irhash Ainur Rafiq Jogo Samodro, Maulana Muhamammad Julpan Hartono Suria Manja Manurung Junedi Haryanto Kamis, Arasinah Karima Anggita Wijayanti Kariyamin Kariyamin, Kariyamin Khoirul Anam Dahlan Khoirul Ma’arif, Muhammad Kintung Prayitno, Kintung Kurniasih, Indri M Bakrun Dahlan M. Yogi Riyantama Isjoni Martomo Setyawan Martomo Setyawan Maulana Muhammad Jogo Samudro Maulana, Irvan Mbuo, Wilda Moch. Nasheh Annafii Mochamad Syamsiro Mona Sholihah Muchlas, Muchlas Muhajir Yunus Muhamad Agus Sriyono Muhamad Alwi Talib Muhammad Aziz Muhammad Eko Agung Nugroho Muhammad Fahmi Mubarok Nahdli Muhammad Ridwan Muhammad Sayuti Muji Setiyo Murinto Murinto Musfirah Nabilah Amalia Nadia, Hafizhatu Nofikusumawati Peni, Nur Robiah Nor Azwadi Che Sidik Nunung Damayanti Nur Elby Hajjiah Putri Nur Mahmudah, Fitri Nur Makkie Perdana Kusuma Nur Setyanto, Barry Nurfitri Herlinamurti Nuri Ummahatina Nuriyah Muso Utomo, Sinta Nurwijayanti Olusegun David Samuel Opwora, Meshack Pamungkas , Rani Rahmawati Peni, Nur Robiah Nofi Kusumawati Pidekso Putro, Aldibangun Pratama, Genta Puguh Wahyu Prasetyo, Puguh Putri, Anggista Malya Putri, Vinanga Dentia Rahayu, Aster Razak, Farhan Radhiansyah Reni Yunita Ridwan Abdurrahman Rizky Caesar Irjayana Rofiah, Nurul Hidayati Rokhmah, Na'ilir Rusydi Umar S. Hanaoka Safitri, Anggi Samsul Hadi Satriya Dwi Putra Sayuti, Muhammad Setiawati, Nelly Setyawati, Nelly Shun-ichiro Ohmi Sonny Abriantoro Wicaksono Sri Mulyani Srikandi Novianti Subekti, Dewi Ani Sugeng Santoso Sugianti, Ardina Fitri Suhendra Sunardi, Sunardi Suprap, Suprap Susanto, Harry Agus Suwanti Suwanti Suwanti Suwardi Suwardi Suyanto, Sigit Syahputra, Derly Syahrani Lonang Syamsiar, Syamsiar Tri Handayani Tri Kuat Tri Kuat, Tri Triawan, Farid Tristanti, Novi Tuessi Ari Purnomo Wadiyo Wadiyo Widyastuti Purbani Wijantoro, Fuad Wijayanti, Karima Anggita Wiwik Handayani Yulianto, Dinan Yunisa, Fahmi Yuwantina, Anissa Zein, Wahid Alfaridsi Achmad