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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TELKOMNIKA (Telecommunication Computing Electronics and Control) JUITA : Jurnal Informatika Majalah Kedokteran Gigi Indonesia Scientific Journal of Informatics EXPOSURE JOURNAL Indonesian Journal of Science and Technology JEES (Journal of English Educators Society) 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) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa 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) Indonesian Journal on Learning and Advanced Education (IJOLAE) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Pendidikan dan Konseling Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Pengabdian Masyarakat Bumi Raflesia JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Vocational Education Studies 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 Jurnal Abdi Masyarakat Indonesia Mechanical Engineering for Society and Industry METAL : Jurnal Sistem Mekanik dan Termal Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Basicedu Scientific Journal of Informatics KUNKUN Journal of Multidisciplinary Research Scientific Journal of Engineering Research
Muhammad Kunta Biddinika
Universitas Ahmad Dahlan
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PENILAIAN QUALITY CONTROL TERHADAP PRODUK KERJA SISWA PRAKERIN DI TEACHING FACTORY SMK Muhamad Agus Sriyono; Sayuti, Muhammad; Biddinika, Muhammad Kunta; Azwan, Hasnul
Jurnal Taman Vokasi Vol 13 No 1 (2025): In Press
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/jtvok.v13i1.19498

Abstract

The purpose of the study was to; (1) analyze the quality control assessment of the results of the Prakerin students' products at TEFA vocational high school, (2) analyze efforts to improve the entrepreneurial spirit of Prakerin students at TEFA vocational high school, (3) analyze how to improve the activeness of Prakerin students at teaching factory SMK and (4) provide suggestions and input to quality control so that the quality of Prakerin students' products at teaching factory SMK is in accordance with consumer orders. Qualitative research method with a case study approach, Data collection using semi-structured interviews with respondents Principal, quality control staff, teaching factory managers, teachers and Prakerin students at the teaching factory, with the aim of obtaining appropriate and accurate data. Research results; (1) the quality of te products of teaching factory internship students must be in accordance with standards, so strategies are needed; (a) preparation of student competencies, (b). planning, implementation of learning, production activities, and industrial cooperation, (c) students are required to be honest, disciplined, responsible and active, and (d) determining standard operating procedures. (2) students' entrepreneurial spirit is influential during internship at teaching factory. Entrepreneurial spirit includes the ability to think creatively, innovatively, dare to take risks, and take advantage of business opportunities. Internship at teaching factory is a place to produce young entrepreneurs, create jobs and produce graduates with technical skills. (3) efforts to improve the activeness of Internship students (4) suggestions and input from quality control.
Classification of Stunting in Children Using the C4.5 Algorithm Yunus, Muhajir; Biddinika, Muhammad Kunta; Fadlil, Abdul
JOIN (Jurnal Online Informatika) Vol 8 No 1 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i1.1062

Abstract

Stunting is a disease caused by malnutrition in children, which results in slow growth. Generally, stunting is characterized by a lack of weight and height in young children. This study aims to classify stunting in children aged 0-60 months using the Decision Tree C4.5 method based on z-score calculations with a sample size of 224 records, consisting of 4 attributes and 1 label, namely Gender, Age, Weight, Height, and Nutritional Status. The results of the study obtained a C4.5 decision tree where the Age variable influenced the classification of stunting with the highest Gain Ratio of 0.185016337. Meanwhile, the evaluation of the model using the Confusion matrix resulted in the highest accuracy of 61.82% and AUC of 0.584.
LEARNING SPEAKING USING GOOGLE SITES-BASED EPORTFOLIO: INDONESIAN STUDENT’S EXPERIENCE Ali, Raden Muhammad; Hastuti, Dwi; Ananda, Anisa Rizki; Biddinika, Muhammad Kunta
EXPOSURE : JURNAL PENDIDIKAN BAHASA INGGRIS Vol. 13 No. 1 (2024): Exposure
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/exposure.v13i1.14384

Abstract

The purpose of this study is to offer insights into Indonesian students' experiences with using Google Sites-based ePortfolios to learn public speaking, particularly concerning setting objectives, selecting platforms, selecting content, and uploading their ePortfolio. This qualitative research data was gathered from twenty-two students who joined public speaking lesson at an English Language Education Study Program of a university in Yogyakarta, Indonesia, through interviews, observations, and documentation. In-depth interviews were conducted with six selected students of the class and a lecturer who supervised the course. Data analysis is carried out through the process data preparation, reduction and categorization, representation, and conclusion. The study's findings are as follows: first, while creating an ePortfolio, students desire to have a personal website that serves as a repository for all of their resources, assignments, and completed projects that are structured thoroughly, neatly, and conveniently online. Second, students use Google-Sites, as per the guidelines provided in class, to choose the platform. Students first faced several challenges. Students successfully developed their ePortfolio after learning from friends and instructions from various social media platforms.. Third, students get experience producing and publishing a variety of artifacts, including text, photos, audio, and video, while selecting content.. Four, students gain practice presenting their ePortfolio to instructors and fellow students and engaging in discussion about it when they publish one.
Comparison of Digital Forensic Tools for Drug Trafficking Cases on Instagram Messenger using NIST Method Nahdli, Muhammad Fahmi Mubarok; Riadi, Imam; Biddinika, Muhammad Kunta
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.v11i4.13463

Abstract

Purpose: Cybercrime is an unlawful act that utilizes computer technology and the development of the internet. Cybercrime can occur on all electronic devices, including Android smartphones. Forensic handling, particularly mobile forensics, has become crucial in addressing drug trafficking cases conducted through Instagram. As the primary device for accessing Instagram, smartphones store digital data that can serve as evidence in investigations. This research aims to produce a more accurate comparison of results in analyzing Instagram Messenger data containing content related to drug trafficking. Methods: The digital evidence data used in this research included five types of data: text chat, account, image, audio, and image view once. The forensic tools for obtaining digital evidence were MOBILedit, Belkasoft, Mobile Forensic SPF, and Magnet Axiom. The method proposed in this research followed the NIST framework, which consists of four stages: collection, examination, analysis, and reporting. This research followed the NIST framework because it is widely recognized in the field of digital forensics and provides a comprehensive guideline for handling digital evidence. Result: Research results showed that Magnet Axiom had the best performance in digital forensic analysis, with a success rate of 74.1%. MOBILedit Forensic had a success rate of 62.5%, indicating lower performance. Mobile Forensic SPF had a success rate of 44.6%. In comparison, Belkasoft had the lowest success rate of 23.2%, showing that this software could be more effective in detecting and analyzing digital data than the others. Novelty: In this study, the analysis process was conducted using four digital forensic tools, each showing variations in terms of efficiency and effectiveness. Each tool has advantages and disadvantages regarding speed, accuracy, and ability to extract and manage data.
Analysis of School Life Expectancy Prediction in North Sumatra using the ARIMA Method for the 2024-2025 Period Sudewo, Egi Dio Bagus; Biddinika, Muhammad Kunta; Dahlan, Khoirul Anam; Prayitno, Kintung; Kariyamin, Kariyamin
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4611

Abstract

This study analyzes the projection of the School Life Expectancy (HLS) in 33 districts/cities in North Sumatra Province using the ARIMA method. Historical HLS data from 2019 to 2023 were used to forecast the HLS values for 2024 and 2025. The prediction results show an increase in HLS in most regions, with several districts/cities such as Labuhan Batu, Pematangsiantar City, and Padangsidempuan City experiencing significant growth. However, some regions like Mandailing Natal and Samosir show a more stable trend without significant increases. These findings indicate disparities in access and quality of education across various regions in North Sumatra. Overall, the ARIMA model provides a positive forecast for future HLS improvements, though regional disparities require special attention from relevant authorities to promote equal access to education.
JAVANESE SCRIPT HANACARAKA CHARACTER PREDICTION WITH RESNET-18 ARCHITECTURE Sudewo, Egi Dio Bagus; Biddinika, Muhammad Kunta; Fadlil, Abdul
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 2 (2024): Maret 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i2.3017

Abstract

Abstract: This study aims to train computers to recognize Javanese script characters known as Hanacaraka. The evaluation was conducted on the use of Convolutional Neural Network (CNN) with the ResNet-18 architecture in recognizing these characters. The research objective is to overcome traditional character recognition barriers and improve accuracy. The method employed includes building a CNN model with the ResNet-18 architecture and using diverse datasets. The results show a training accuracy of 100%, validation accuracy of 98.01%, and accuracy, precision, recall, and F1-score each at 100%. This study concludes that the developed model successfully achieves a high level of accuracy and contributes positively to the development of Javanese Hanacaraka character recognition technology. Keywords: convolution neural network (CNN); javanese hanacaraka script; resnet-18           Abstrak: Penelitian ini bertujuan melatih komputer untuk mengenali huruf aksara Jawa Hanacaraka. Evaluasi dilakukan terhadap penggunaan Convolutional Neural Network (CNN) dengan arsitektur ResNet-18 dalam pengenalan karakter tersebut. Tujuan penelitian adalah mengatasi hambatan pengenalan karakter tradisional dan meningkatkan akurasi. Metode yang digunakan mencakup pembuatan model CNN dengan arsitektur ResNet-18 dan penggunaan dataset yang beragam. Hasilnya menunjukkan akurasi pelatihan 100%, validasi 98.01%, dan akurasi, presisi, recall, dan F1-score masing-masing sebesar 100%. Simpulan penelitian ini adalah bahwa model yang dikembangkan berhasil mencapai tingkat akurasi yang tinggi dan memberikan kontribusi positif pada pengembangan teknologi pengenalan karakter Hanacaraka Jawa.Kata kunci: convolution neural network (CNN); huruf aksara jawa hanacaraka; resnet-18 
Enhancing Safety Culture in Vocational Education: Insights from Industrial Workshops Sayuti, Muhammad; Susanto, Harry Agus; Hasanah, Noviatun; Biddinika, Muhammad Kunta; Wadiyo, Wadiyo; Opwora, Meshack; Kamis, Arasinah; Rokhmah, Na'ilir
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 6, No. 2, May 2024
Publisher : Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v6i2.23532

Abstract

This study analyzes the condition of industrial workshops related to Occupational Safety and Health (K3) equipment and workshop regulations according to supervisors' and industrial instructors’ views. The availability of K3 equipment and workshop rule standards are considered important due to the development of students' industrial cultural character toward fostering job readiness. The results show the K3 culture in the Prakerin industry tends to be positive. It is found the necessity to focus on commitment and management style as the key to improving safety culture. Although K3 document is considered sufficient, workers’ and students’ response vary in K3 culture of Prakerin. This indicates the need for improving understanding of safety in Prakerin. Based on the F-test, the availability of documents and worker culture simultaneously affect the student's K3 culture. Although the t-test shows that work safety documents have no significant effect, worker safety culture has a very significant influence on student work safety culture. It concludes that the adoption of K3 culture by workers in industry influenced the K3 culture of Prakerin students. This study recommends to exploring influence of industrial environment on student character by evaluating various industry, for understanding student’ character building and job readiness of vocational graduates.
Pelatihan manajemen pelaporan organisasi berbasis penulisan jurnal ilmiah Puspitarini, Diyah; Damayanti, Nunung; Amalia, Nabilah; Sholihah, Mona; Kusnadi, Andre; Biddinika, Muhammad Kunta
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
SUPERVISI KEPALA SEKOLAH SANGAT BERPERAN TERHADAP PENINGKATAN KOMPETENSI PEDAGOGIK GURU KEJURUAN YANG MEMILIKI LATAR BELAKANG NON KEGURUAN DI SMK MUHAMMADIYAH 3 DOLOPO Hariyadi, Bambang; Biddinika, Muhammad Kunta; Mahmudah, Fitri Nur; Kuat, Tri; Dahlan, Bakrun
PeTeKa (Jurnal Penelitian Tindakan Kelas dan Pengembangan Pembelajaran) Vol 6, No 1 (2023): PeTeKa (Jurnal Penelitian Tindakan Kelas dan Pengembangan Pembelajaran)
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/ptk.v6i1.95-100

Abstract

Dalam rangka Penelitian tindakan sekolah memberikan tujuan  untuk mengungkapkan peranan supervise kepala sekolah yang berimbas pada peningkatan kompetensi pedagogik guru kejuruan yang memiliki latar belakang non keguruan di SMK Muhammadiyah 3 Dolopo. Penelitian berikut  menggunakan metode desain  Action Research . Akibat yang ditimbulkan penelitian ini menunjukkan hasil supervise yang dilaksanakan kepala sekolah dengan dibantu wakil kepala urusan  kurikulum dapat meningkatkan kompetensi pedagogik guru kejuruan yang berlatar belakang non keguruan. Hal ini dibuktikan dengan adanya pertemuan individual diantaranya  kepala sekolah , tim supervisi akademik serta semua guru dapat merefleksikan proses pembelajaran guru tersebut. Selain itu pembuatan perangkat pembelajaran guru juga lebih maksimal karena bimbingan langsung dari kepala sekolah. Keterkaitan  dari penelitian ini yaitu jika fungsi  supervise kepala sekolah selalu dilakukan secara rutin dan berkala , oleh karena itu guru akan tertib dalam pembuatan perangkat pembelajaran sehingga akan meningkatkan kualitas pembelajaran di kelas. Ini juga akan memberikan masukan yang terbaik antara kepala sekolah berserta  guru.
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.
Co-Authors Abdul Fadlil Abrar Ridwan Aditya Kolakoti Affan, Dhava Chairul Agus Aktawan, Agus Ahmad Azhari Ahmad Kafrawi Nasution Al Baqir, Mufaddal Aldri Frinaldi Alfaridhi, Dio Fahmi Alghiffari, Eka Kevin Ali, Raden Muhammad Aliyah Rasyid Baswedan Alper Calam Amalia, Nabilah Aminuyati Amrullah, Abdullathif Karim Ananda, Anisa Rizki Annafii, Moch. Nasheh Anton Yudhana Areeprasert, Chinnathan Asep Bayu Dani Nandiyanto Asep Setyaji Asih, Hayati Mukti Azwan, Hasnul B. A. Budiman Bakhtiyor Nakhshiniev Bambang Hariyadi Bella Okta Sari Miranda Budi Santosa Budi Santosa Caesar Irjayana, Rizky Dahlan, Bakrun Damayanti, Nunung Desi Lestari Dewi Soyusiawaty Dhias Cahya Hakika Dhias Cahya Hakika Diyah Puspitarini Dori Yuvenda Dwi Hastuti Edhy Susatya Edhy Susatya, Edhy Egi Dio Bagus Sudewo F. Triawan Fadliondi Fatimah, Vita Arfiana Nurul Febriyanto, Bayu Fitri Nur Mahmudah Fitri Nur Mahmudah Fitriah Fitriah Fitriah Fitriah Fumitake Takahashi Gilang Isa Baskara Hasanah , Noviatun Hasanah, Noviatun Herman Herman Herman Herman Herman Herman Yuliansyah, Herman Husna, Jannatul Ikhlasul Amal Imam Riadi Indryanto, Mokhamad Arif Iqwan Sanjani, Muhammad Irhash Ainur Rafiq Jogo Samodro, Maulana Muhamammad Junedi Haryanto Kamis, Arasinah Karima Anggita Wijayanti Kariyamin, Kariyamin Khaerati Syam, Ummi Khoirul Anam Dahlan Kintung Prayitno, Kintung Kurniasih, Indri Kusnadi, Andre Martomo Setyawan Martomo Setyawan Maulana Muhammad Jogo Samudro Maulana, Irvan Mbuo, Wilda Mochamad Syamsiro Muhajir Yunus Muhamad Agus Sriyono Muhamad Alwi Talib Muhammad Ali, Raden Muhammad Aziz Muhammad Eko Agung Nugroho Muhammad Fahmi Mubarok Nahdli Muhammad Sayuti Muji Setiyo Murinto Musfirah Nadia, Hafizhatu Narpaduita, Pamastu Nofikusumawati Peni, Nur Robiah Nor Azwadi Che Sidik Nur Mahmudah, Fitri Nur Makkie Perdana Kusuma Olusegun David Samuel Opwora, Meshack Pamungkas , Rani Rahmawati Peni, Nur Robiah Nofi Kusumawati Pratama, Genta Putri, Anggista Malya Putri, Vinanga Dentia Rahayu, Aster Razak, Farhan Radhiansyah Ridwan Abdurrahman Rofiah, Nurul Hidayati Rokhmah, Na'ilir S. Hanaoka Safitri, Anggi Satriya Dwi Putra Sayuti, Muhammad Setiawati, Nelly Setyawati, Nelly Sholihah, Mona Shun-ichiro Ohmi Sonny Abriantoro Wicaksono Srikandi Novianti Subekti, Dewi Ani Sugeng Santoso Sugianti, Ardina Fitri Suhendra Sunardi, Sunardi Suprap, Suprap Susanto, Harry Agus Suwanti Suwanti Syahputra, Derly Syahrani Lonang Syamsiar, Syamsiar Tri Kuat Tri Kuat, Tri Triawan, Farid Tristanti, Novi Tuessi Ari Purnomo Wadiyo Wadiyo Wijayanti, Karima Anggita Wiwik Handayani Yulianto, Dinan Yunisa, Fahmi Yuwantina, Anissa Zein, Wahid Alfaridsi Achmad