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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 JUITA : Jurnal Informatika Majalah Kedokteran Gigi Indonesia Scientific Journal of Informatics ELINVO (Electronics, Informatics, and Vocational Education) 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) 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
Muhammad Kunta Biddinika
Universitas Ahmad Dahlan
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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 
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.
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.
HUMAN DIGITAL TWIN MODELING FOR ADVANCING ARRHYTHMIA TREATMENT herman, herman; Annafii, Moch. Nasheh; Biddinika, Muhammad Kunta
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 3 (2025)
Publisher : 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
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.
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 Baehaqi 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 Fatimah, Vita Arfiana Nurul Febriyanto, Bayu Fitri Nur Mahmudah Fitri Nur Mahmudah Fitriah Fitriah Fitriah Fitriah Fumitake Takahashi Gilang Isa Baskara Harinto, Joko Hasanah , Noviatun Hasanah, Noviatun Herman Herman Herman Herman Herman Herman Herman Yuliansyah, Herman Husna, Jannatul Ikhlasul Amal Ilmiana, Indah Rahma 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 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 Mochamad Syamsiro Mona Sholihah 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 Nabilah Amalia Nadia, Hafizhatu Narpaduita, Pamastu Nofikusumawati Peni, Nur Robiah Nor Azwadi Che Sidik Nunung Damayanti Nur Mahmudah, Fitri Nur Makkie Perdana Kusuma Nur Setyanto, Barry Nuriyah Muso Utomo, Sinta 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