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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 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 Jurnal Impresi Indonesia METAL : Jurnal Sistem Mekanik dan Termal Jurnal Algoritma Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Basicedu Scientific Journal of Informatics KUNKUN Journal of Multidisciplinary Research Scientific Journal of Engineering Research Jurnal Komtika (Komputasi dan Informatika)
Muhammad Kunta Biddinika
Universitas Ahmad Dahlan
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SMOTE-SVM for Handling Imbalanced Data in Obesity Classification Biddinika, Muhammad Kunta; Yuliansyah, Herman; Soyusiawaty, Dewi; Razak, Farhan Radhiansyah
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 2 (2025): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.103994

Abstract

 Obesity is a significant health issue associated with various chronic diseases, making its early classification critical for effective interventions. This study investigates the performance of Support Vector Machine (SVM) models with Radial Basis Function (RBF) and Linear kernels on imbalanced obesity datasets. To address data imbalance, Synthetic Minority Over-sampling Technique (SMOTE) and Random Undersampling (RUS) were applied. The results reveal that balancing techniques significantly enhance classification performance, with the Linear model achieving the highest accuracy of 96.54% when balanced using SMOTE. However, limitations include reduced recall for minority classes and potential overfitting risks. These findings underscore the importance of balancing techniques in health data classification and offer insights for further optimizing model performance. The study highlights the need for advanced data balancing strategies to improve predictive accuracy and equity across all classes.
Educational and Outreach Initiatives to Support Community-Based Waste Management for a Sustainable Environment in Dech Charoen Village, Thailand Aktawan, Agus; Rahayu, Aster; Biddinika, Muhammad Kunta; Hakika, Dhias Cahya; Areeprasert, Chinnathan
Indonesia Berdaya Vol 6, No 3 (2025)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.20251194

Abstract

The rapid rise in urbanization and waste production has significantly impacted the environment. Therefore, community-based waste management is a crucial approach for reducing the environmental impact of domestic and household waste. This community service project aims to promote environmental sustainability through community-based education on waste management. This initiative was carried out in Dech Charoen Village, Thailand, aiming to increase community awareness about the importance of sustainable waste management practices. This paper discusses the community service activities conducted in Dech Charoen Village and their impact on community empowerment and environmental sustainability. The activities included a sharing session on community-based waste management, outreach on the reduce, reuse, and recycle (3R) principle for inorganic waste, and practical outreach on processing organic waste using a composting machine. Results showed a considerable rise in awareness of waste management methods, with more than 90% of participants achieving a better understanding of waste segregation, recycling, composting practices, and the importance of community involvement.
APLIKASI AUGMENTED REALITY UNTUK VISUALISASI PERANCANGAN GREEN CITY Al Baqir, Mufaddal; Kunta Biddinika, Muhammad; Herman, Herman; Suwanti, Suwanti
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13411

Abstract

Pengembangan Green City menghadapi tantangan dalam menciptakan kawasan perkotaan yang ramah lingkungan. Teknologi Augmented Reality (AR) memungkinkan visualisasi interaktif elemen kota hijau dengan menggabungkan objek virtual dan fisik. Permasalahan perkotaan seperti polusi udara dan berkurangnya ruang hijau berdampak negatif pada kualitas hidup. Reboisasi menjadi elemen utama Green City dengan menanam pohon untuk meningkatkan kualitas udara dan mengurangi suhu. Penelitian ini merancang aplikasi AR markerless untuk mendukung reboisasi melalui visualisasi model 3D pohon tanpa marker. Tahapan penelitian meliputi analisis jenis pohon, akuisisi model 3D, serta implementasi pada smartphone Android. Pengujian aplikasi melibatkan 10 partisipan dengan total 50 uji coba, menunjukkan tingkat keberhasilan 80% dalam menampilkan model pohon secara akurat di lingkungan nyata. Namun, beberapa kendala teknis seperti pencahayaan kurang optimal dan sudut pandang yang tidak tepat memengaruhi deteksi bidang datar. Hasil penelitian menunjukkan keberhasilan aplikasi dalam memproyeksikan pohon secara realistis, meningkatkan kesadaran akan ruang hijau. Pengembangan lanjutan direkomendasikan untuk menambahkan simulasi pertumbuhan pohon, perhitungan manfaat ekologi, dan integrasi data lingkungan real-time guna mendukung pembangunan kota berkelanjutan.
EDUKASI PENGOLAHAN DAN PEMILAHAN SAMPAH PLASTIK GUNA PENINGKATAN EKOLITERASI ORANG TUA SISWA TK CAHYA MENTARI Hakika, Dhias Cahya; Asih, Hayati Mukti; Biddinika, Muhammad Kunta; Yuwantina, Anissa; Safitri, Anggi; Sugianti, Ardina Fitri
Jurnal Abdi Insani Vol 11 No 4 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i4.2013

Abstract

Garbage is identified as objects or materials that are no longer deemed necessary, useful, or wanted, and are often disposed of by individuals or communities. Various sources and categories of garbage and waste exist, which, without proper management, could contaminate soil, water, and air. Implementing educational programs on waste management is crucial to boost community awareness and involvement in mitigating the detrimental effects on environmental and public health. Particularly, enhancing parental awareness of waste is essential for cultivating environmental stewardship in young children. This community service initiative aims to educate parents, especially those of students at TK Cahya Mentari in Semarang District, on the processing and sorting of primarily plastic waste to improve their eco-literacy. The program includes a series of educational and technical guidance sessions that introduce fundamental waste management principles, effective sorting techniques, and the adoption of eco-friendly practices in daily life. This intervention is intended to enable parents to incorporate these practices into domestic routines and to instil environmental consciousness in their children. This program resulted in a significant increase in knowledge, with parents’ understanding improving from 53% to 91.33%. The results from this initiative indicate that the educational efforts have successfully enhanced parental understanding of waste management, thereby contributing to the development of environmental awareness among children at TK Cahya Mentari.
MANAJEMEN KERJA SAMA SEKOLAH MENENGAH KEJURUAN DENGAN INDUSTRI DAN DUNIA KERJA Amrullah, Abdullathif Karim; Susatya, Edhy; Biddinika, Muhammad Kunta
VOCATIONAL: Jurnal Inovasi Pendidikan Kejuruan Vol. 5 No. 3 (2025)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/vocational.v5i3.6095

Abstract

Vocational high school education is more effective and efficient if vocational high schools and industries closely. In fact, it is not easy for vocational high schools to obtain cooperation partners with industry and the world of work, the cooperation relationship certainly does not just happen without going through a long process. This study aims to analyze the management of vocational high school cooperation with industry and the world of work including planning, implementation, and evaluation of cooperation. The results show that cooperation planning is based on; (1) potential mapping, (2) regulations, (3) objectives, (4) urgency, and (5) cooperation strategies. The implementation of cooperation is based on; (1) exploration, (2) communication and coordination, (3) forms of activities, and (4) stakeholder involvement in cooperation. Evaluation of cooperation is based on; (1) monitoring and evaluation, (3) activity reporting, (4) supporting factors, (5) inhibiting factors, (6) efforts to overcome obstacles, (7) goal achievement, (8) benefits, and (9) cooperation development. Supporting factors for vocational high school cooperation with industry and the world of work are in the form of positive support that is effectively communicated by all related parties in carrying out commitments to achieve common goals. Factors inhibiting cooperation in the form of a negative mindset and lack of awareness of harmony in achieving common goals. Efforts to overcome obstacles to cooperation in the form of increasing awareness of commitment to achieving common goals with open dialog using the principles of coordination and effective communication that is collaborative. ABSTRAKPendidikan SMK lebih efektif dan efisien apabila SMK dengan IDUKA melakukan kerja sama yang erat. Kenyataanya tidak mudah bagi SMK untuk memperoleh mitra kerja sama dengan IDUKA, hubungan kerja sama tentu tidak terjadi begitu saja tanpa melalui proses panjang. Penelitian ini bertujuan menganalisis manajemen kerja sama SMK dengan IDUKA meliputi perencanaan, pelaksanaan, dan evaluasi kerja sama. Hasil penelitian menunjukan perencanaan kerja sama didasarkan pada; (1) pemetaan potensi, (2) peraturan, (3) tujuan, (4) urgensi, dan (5) strategi kerja sama. Pelaksanaan kerja sama didasarkan pada; (1) penjajakan, (2) komunikasi dan koordinasi, (3) bentuk kegiatan, dan (4) keterlibatan stakeholder dalam bekerja sama. Evaluasi kerja sama didasarkan pada; (1) monitoring dan evaluasi, (3) pelaporan kegiatan, (4) faktor pendukung, (5) faktor penghambat, (6) upaya mengatasi hambatan, (7) ketercapaian tujuan, (8) manfaat, dan (9) pengembangan kerja sama. Faktor pendukung kerja sama SMK dengan IDUKA berupa dukungan positif yang dikomunikasikan efektif seluruh pihak terkait dalam menjalankan komitmen untuk mencapai tujuan bersama. Faktor penghambat kerja sama berupa mindset negatif dan kurangnya kesadaran terhadap keselarsan dalam mencapai tujuan bersama. Upaya mengatasi hambatan kerja sama berupa meningkatkan kesadaran komitmen untuk mencapai tujuan bersama dengan dialog terbuka menggunakan prinsip koordinasi dan komunikasi efektif yang bersifat kolaboratif.
Comparison of Machine Learning Algorithms for Stunting Classification Yunus, Muhajir; Biddinika, Muhammad Kunta; Fadlil, Abdul
Scientific Journal of Engineering Research Vol. 1 No. 2 (2025): June
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjer.v1i2.2025.9

Abstract

Indonesia is one of the countries with medium stunting data over the past decade, around 21.6%. Stunting prevention is a national program in Indonesia, and stunting reduction in children is the first of the six goals in the Global Nutrition Target for 2025. Based on SSGI data in 2022, the prevalence of stunting in Gorontalo Province is 23.8% and is in the high category. Stunting prevention is an early effort to improve the ability and quality of human resources. This study compared two Machine Learning algorithms for stunting classification in children, namely the Naive Bayes method and Decision Tree C4.5 using Python by dividing the training and testing data a total ratio of 80:20. The performance of each algorithm was evaluated using a dataset of child health information based on z-score calculation data with a total of 224 records, consisting of 4 attributes and 1 label, namely gender, age, weight, height and nutritional status. The results of the research that have been conducted show that the Decision Tree C4.5 algorithm achieves the highest accuracy in the classification of stunting events with an accuracy of 87% while for the Naïve Bayes algorithm produces a low accuracy of 71% so that for this study the Decision tree C4.5 algorithm is the best algorithm for the classification of stunting events. These findings suggest this algorithm can be a valuable tool for classifying children's stunting.
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): Vol. 13 No. 1 (2025)
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.
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 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 Chuma Opwora, Meshack Dahlan, Bakrun 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 Febriyanto, Bayu Fitri Nur Mahmudah Fitri Nur Mahmudah Fitriah Fitriah Fitriah Fumitake Takahashi Gilang Isa Baskara Harinto, Joko Hasanah , Noviatun Hasanah, Noviatun Herman Herman Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah, Herman Husna, Jannatul Ikhlasul Amal Ilmiana, Indah Rahma Imam Riadi Indryanto, Mokhamad Arif Irhash Ainur Rafiq Jogo Samodro, Maulana Muhamammad Junedi Haryanto Kamis, Arasinah Karima Anggita Wijayanti Kariyamin, Kariyamin Khoirul Anam Dahlan Khoirul Ma’arif, Muhammad Kintung Prayitno, Kintung Kurniasih, Indri M. Yogi Riyantama Isjoni Martomo Setyawan Martomo Setyawan Maulana Muhammad Jogo Samudro Maulana, Irvan Mbuo, Wilda Moch. Nasheh Annafii Mochamad Syamsiro Mona Sholihah Muhajir Yunus Muhamad Agus Sriyono Muhamad Alwi Talib Muhammad Aziz Muhammad Eko Agung Nugroho Muhammad Fahmi Mubarok Nahdli Muhammad Sayuti Muji Setiyo Murinto Musfirah Nabilah Amalia Nadia Wati Aprianti Nadia, Hafizhatu Nofikusumawati Peni, Nur Robiah Nor Azwadi Che Sidik Nunung Damayanti Nur Mahmudah, Fitri Nur Makkie Perdana Kusuma Nur Setyanto, Barry Nuriyah Muso Utomo, Sinta Nurwijayanti Olusegun David Samuel Opwora, Meshack Pamungkas , Rani Rahmawati Peni, Nur Robiah Nofi Kusumawati Pidekso Putro, Aldibangun 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 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 Syahputra, Derly Syahrani Lonang Syamsiar, Syamsiar Taufiq Hidayat 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