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All Journal Sainteks Jurnal Teknologi dan Manajemen Informatika Jurnal Informatika Telematika SMATIKA Jurnal Ilmiah KOMPUTASI Jurnal Pendidikan Informatika dan Sains INTEGER: Journal of Information Technology JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control BAREKENG: Jurnal Ilmu Matematika dan Terapan Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Teknoinfo Martabe : Jurnal Pengabdian Kepada Masyarakat Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika JSAI (Journal Scientific and Applied Informatics) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer System and Informatics (JoSYC) Infotek : Jurnal Informatika dan Teknologi Indonesian Journal of Cultural and Community Development Community Empowerment Jurnal Abdimas Serawai Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Bulletin of Computer Science Research Indonesian Journal of Innovation Studies Indonesian Journal of Public Policy Review Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Prosiding University Research Colloquium Malcom: Indonesian Journal of Machine Learning and Computer Science JOINCS (Journal of Informatics, Network, and Computer Science) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer SAGA: Journal of Technology and Information Systems "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Innovative Technologica: Methodical Research Journal Physical Sciences, Life Science and Engineering Indonesian Journal of Applied Technology Journal of Social Comunity Services Journal of Technology and System Information Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal for Technology and Science semanTIK Journal of Blockchain, Nfts and Metaverse Technology Jurnal Farmasi Galenika IJHCS Smatika Jurnal : STIKI Informatika Jurnal Academia Open
Ade Eviyanti
Informatika, Universitas Muhammadiyah Sidoarjo, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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Sistem Pakar Berbasis Web untuk Diagnosis Penyakit Paru Anak dengan Forward Chaining Mochammad Raflie Lazuardi; Ika Ratna Indra Astutik; Ade Eviyanti
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 02 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i02.1738

Abstract

This research aims to design an expert system using the forward chaining method to facilitate the early diagnosis of lung diseases in children, such as tuberculosis, pneumonia, and bronchitis. The system is designed to help the community, especially in areas with limited access to healthcare services, in recognizing symptoms independently. The methodology uses the stages of the Expert System Development Life Cycle (ESDLC), including problem identification, knowledge acquisition from experts, design, and testing using black box techniques. This system is capable of detecting symptoms, matching them with a rule base, and providing an initial diagnosis along with recommended actions. The implementation results show that the system can support quick and accurate medical decision-making, as well as enhance public health awareness through internet-based access.
Pengelompokan Pelanggaran Lalu Lintas Menggunakan Algoritma K-Means pada Data CCTV Fitriah Fitriah; Ade Eviyanti; Hindarto Hindarto
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 02 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i02.1739

Abstract

This study aims to cluster traffic violation data recorded by CCTV in the Sidoarjo area using the K-Means Clustering algorithm. The dataset used in this study was obtained from Sidoarjo Police, covering 43,055 traffic violation records in the period January 2023 to July 2024. The CRISP-DM approach is applied to ensure a systematic research flow, starting from problem understanding, data collection, to result evaluation. After the data selection and transformation stage, the dataset was processed into 14,386 data. Clustering was performed to divide violations into three categories based on severity, namely high, medium, and low. Evaluation of cluster quality using Silhouette Score showed the best result with a value of 0.9916 at k=9, indicating optimal cluster formation. The clustering results showed that the highest violation occurred in the category of “not using a seat belt” with 8,710 cases, while the moderate violation involved “not wearing a helmet” with 5,522 cases. This study confirms the effectiveness of the K-Means algorithm in clustering traffic violation data and provides valuable insights for the Sidoarjo Police Traffic Unit in designing more efficient traffic violation reduction programs.
PENGEMBANGAN MEDIA PERKULIAHAN PKN BERBASIS WEBSITE UNTUK MENINGKATKAN LITERASI BUDAYA DAN KEWARGAAN MAHASISWA PGSD UNIVERSITAS MUHAMMADIYAH SIDOARJO Fihayati, Zuyyina; Macfhul Indrakurniawan; Ade Eviyanti; Nila Sekardhani Hadian; Septya Bayu Andita
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 01 (2026): Volume 11 No. 01 Maret 2026 Public
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i01.40131

Abstract

This study aims to develop website-based Civics E-Book lecture media to improve the cultural and civic literacy skills of PGSD students of Muhammadiyah Sidoarjo University. This research was conducted based on the results of research conducted by researchers funded by DRPM Universitas Muhammadiyah Sidoarjo in the 2021/2022 fiscal year with the title "Cultural and Civic Literacy Abilities of PGSD UMSIDA Students in the 21st Century", where it was found that the cultural and civic literacy abilities of PGSD UMSIDA students of 68.4% had quite high cultural and civic literacy abilities. Based on this, eating needs to be improved so that the cultural and civic literacy skills of UMSIDA PGSD students become high, especially in Civic Education (Civics) lectures through a website-based Civics E-Book. The research is a Research and Development (R&D) research with the ADDIE version development model which is a synthesize of Analyze, Design, Development, Implementation, Evaluation.
Android Based Agricultural E Commerce Application for Farmer Transactions: Aplikasi E-Commerce Pertanian Berbasis Android untuk Transaksi Petani Daffa Fauzanrio Iswinarko; Dr. Hindarto S.Kom., M.T; Ade Eviyanti, S.Kom., M.kom; Azmuri Wahyu Azinar, ST., M.comp
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2060

Abstract

General Background The advancement of mobile technology has enabled digital solutions to support economic activities, including agricultural product distribution. Specific Background Farmers often face challenges such as limited market access and dependency on intermediaries, which reduce their profit margins. Knowledge Gap Existing systems do not fully provide a direct and accessible platform for farmers to connect with consumers through mobile applications. Aims This study aims to design and develop an Android-based e-commerce application to facilitate agricultural product transactions between farmers and consumers. Results The system is developed using a prototype model and incorporates features such as product listing, transaction management, and user interaction interfaces supported by UML modeling including use case, activity, and class diagrams. The application enables users to access product information and perform transactions efficiently. Novelty The integration of mobile-based e-commerce with direct farmer-to-consumer interaction provides a practical solution to reduce dependency on intermediaries. Implications This system supports improved accessibility in agricultural markets and offers a digital platform for more efficient transaction processes. Keywords: Android Application, E Commerce, Agricultural Products, Mobile System, UML Modeling Key Findings Highlights Mobile platform supports direct interaction between producers and buyers System design follows structured modeling using multiple UML diagrams Transaction features allow efficient product access and ordering processes
Web-Based Expert System for Eye Disease Diagnosis Using Certainty Factor Method: Sistem Pakar Berbasis Web untuk Diagnosa Penyakit Mata Menggunakan Metode Certainty Factor Adimas Priyambadha; Ade Eviyanti
Academia Open Vol. 8 No. 2 (2023): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.4554

Abstract

General background Eye diseases are a significant health issue and often go undiagnosed accurately. Specific background With advancements in technology, web-based expert systems offer solutions for more efficient and accurate diagnosis. Knowledge gap However, there are still limitations in the application of systematic diagnostic methods in the context of eye diseases. Aims This research aims to develop an expert system that can diagnose eye diseases using the Certainty Factor method. Results The designed system successfully identified the symptoms of eye diseases with a high accuracy percentage, providing relevant diagnosis results based on user input. Novelty This study introduces the use of the Certainty Factor method in an expert system specifically for eye diseases, which has not been widely applied before. Implications These findings are expected to help raise public awareness about eye health and encourage users to consult with specialists after receiving results from the expert system. Thus, this system not only functions as a diagnostic tool but also serves as an educational medium for users. Highlights: Development of an expert system for diagnosing eye diseases using the Certainty Factor method. The system demonstrates high accuracy in identifying symptoms based on user input. Provides an educational platform to raise awareness about eye health among users. Keywords: Expert system, Eye Disease, Certainty Factor, Web-Based Application, Diagnosis
Prediksi Kelulusan Mahasiswa Prodi Informatika dengan Algoritma Decision Tree (C4.5) dan Naïve Bayes Steven Gerrard; Ade Eviyanti; Hamzah Setiawan; Ika Ratna
Bulletin of Computer Science Research Vol. 6 No. 3 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i3.1035

Abstract

The primary parameter for measuring higher education quality, which also has a crucial impact on the accreditation process, is the percentage of students graduating on time. However, the reality on the ground shows that many students face obstacles in completing their studies within the ideal timeframe. Therefore, a data-driven strategy is needed to project students' chances of graduation early. This research aims to compare the performance of the Decision Tree (C4.5) and Naïve Bayes algorithms in classifying the potential for on-time graduation. The data utilized included 161 entries from the Informatics Study Program, class of 2022, at the University of Muhammadiyah Sidoarjo. The attributes analyzed were divided into academic and non-academic factors, including gender, first-semester social studies grades (IPS), GPA, PKMU (Community Service Program) graduation score and status, BQ and Ibadah scores, and accumulated SKEK points. The research process went through several phases: preprocessing, class labeling, model development, and performance evaluation through a confusion matrix and 5-fold cross-validation. The test was validated by separating the training and test data into ratios of 70:30, 80:20, and 90:10. Based on the test results, the C4.5 algorithm achieved a peak accuracy of 100% across all ratio scenarios, with an average cross-validation accuracy of 96.88%. Meanwhile, Naïve Bayes achieved a maximum accuracy of 94.13% with an average cross-validation of 93.00%. These findings indicate that the C4.5 algorithm has superior performance on this specific dataset. The output of this predictive model is expected to serve as an objective basis for institutions in establishing proactive academic policies.
Optimalisasi Pengelolahan Jaringan Dengan Pembatasan Bandwidth dan Blokir Akses Tertentu Pada PT Laxo Global Akses Dengan Menerapkan Metode NDLC Adiffanani Ramdansyah; Hamzah Setiawan; Uce Indahyanti; Ade Eviyanti
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 2 (2025): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i2.8165

Abstract

This research focuses on optimizing network management at PT Laxo Global Akses by implementing bandwidth restrictions and restricting access to non-work related websites and applications. Internet usage in the company was previously unrestricted, resulting in decreased productivity and unstable network performance, especially during peak hours. To address these issues, this research applies the Network Development Life Cycle (NDLC) methodology and utilizes MikroTik devices for configuration. Key features such as Queue Tree for bandwidth distribution, Firewall Filtering for access control, and Hotspot User Management for user authentication were implemented. The redesigned network topology allows for more structured traffic management and real-time monitoring. The test results show that all test scenarios have succeeded as expected, so it can be concluded that the network configuration and policies implemented in the NDLC process were 100% successful at the implementation and testing stages.
Pelatihan Logika Pemrograman bagi Guru SD Muhammadiyah Jasem Ngoro Mojokerto Berbasis Game Scratch Hindarto Hindarto; Ade Eviyanti; Sumarno Sumarno; Donni Adeleo Ardana; Abdul Haris Setya Nugraha
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 2 (2026): Mei
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v5i2.584

Abstract

This Community Service program aims to improve the digital literacy and computational thinking skills of elementary school teachers through game-based programming algorithm training using the Scratch platform. The problems faced by partners are teachers' limited understanding of programming algorithm concepts and the minimal use of interactive technology-based learning media in the learning process. The This Community Service program activity was carried out at Muhammadiyah Jasem Ngoro Elementary School in Mojokerto using a participatory and hands-on training method, which included needs analysis, module development, training implementation, and program evaluation. To measure the effectiveness of the activity, pre-test and post-test instruments were used that examined aspects of digital literacy, computational thinking, understanding of basic algorithms, and mastery of Scratch. The evaluation results showed significant improvements in all aspects measured, where teachers not only understood algorithm concepts conceptually but were also able to develop simple educational games relevant to elementary school learning. This program had a positive impact on improving teacher competence, confidence, and readiness in integrating technology-based learning. Thus, the Scratch-based programming algorithm training is effective as an effort to strengthen the digital literacy and computational thinking of elementary school teachers.
Analisis Sentimen Layanan Pelanggan Provider Internet dengan Algoritma Support Vector Machine dan Naïve Bayes Muhammad Arshiel Naufal Dzaki; Hindarto Hindarto; Ade Eviyanti; Nuril Lutvi Azizah
SemanTIK : Teknik Informasi Vol. 11 No. 1 (2025): Vol. 11 No. 1 (2025): SemanTIK Teknik Informasi
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v11i1.127

Abstract

Meningkatnya keluhan dan pujian pelanggan terhadap layanan internet menunjukkan pentingnya memahami opini publik secara menyeluruh. Jika hal ini tidak dimanfaatkan dengan baik, perusahaan provider internet dapat kehilangan peluang untuk memperbaiki layanan secara tepat sasaran, yang pada akhirnya menurunkan kepuasan pelanggan. Penelitian ini bertujuan menganalisis sentimen pelanggan terhadap perusahaan penyedia layanan internet Biznet menggunakan Text Mining dengan algoritma Naïve Bayes dan Support Vector Machine (SVM). Data diambil dari X.com (Twitter) menggunakan Tweepy, lalu diproses melalui pembersihan, normalisasi, tokenisasi, pelabelan sentimen dengan VADER, serta ekstraksi fitur menggunakan TF-IDF (Term Frequency–Inverse Document Frequency) untuk mengubah teks menjadi data numerik yang relevan. Hasil menunjukkan bahwa SVM dengan kernel Sigmoid memberikan akurasi tertinggi (94,29%), diikuti oleh SVM Linear (93,92%) dan Naïve Bayes Bernoulli (88,21%).  Berdasarkan akurasi, precision, recall, dan F1-score, SVM dengan kernel Sigmoid menjadi metode terbaik untuk analisis sentimen layanan perusahaan penyedia internet Biznet. Analisis sentimen ini diharapkan dapat membantu perusahaan memahami opini pelanggan secara lebih mendalam, sehingga perusahaan provider internet dapat menyusun strategi peningkatan layanan yang tepat sesuai kebutuhan pengguna. The increasing number of customer complaints and compliments regarding internet services highlights the importance of thoroughly understanding public opinion. If not properly leveraged, Biznet company may miss opportunities to improve their services effectively, ultimately reducing customer satisfaction. This study aims to analyze customer sentiment toward Biznet using Text Mining techniques with the Naïve Bayes and Support Vector Machine (SVM) algorithms. Data was collected from X.com (Twitter) using Tweepy, then processed through cleaning, normalization, tokenization, sentiment labeling using VADER, and feature extraction using TF-IDF (Term Frequency–Inverse Document Frequency) to convert text into relevant numerical data. The results show that the SVM with a Sigmoid kernel achieved the highest accuracy (94.29%), followed by the Linear SVM (93.92%) and Bernoulli Naïve Bayes (88.21%). Based on accuracy, precision, recall, and F1-score, the SVM with a Sigmoid kernel is the best method for sentiment analysis of internet provider company’s services. This sentiment analysis is expected to help the company gain deeper insights into customer opinions, enabling the development of targeted strategies for service improvement that align with user needs.
Development of the MY PERPUS Digital Library Website at SMA Muhammadiyah 4 Porong Muhammad Najih Fairuzzamani; Mochamad Alfan Rosid; Nuril Lutvi Azizah; Ade Eviyanti
International Journal on Human-Computing Studies Vol. 8 No. 2 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i2.5771

Abstract

The rapid development of information technology has encouraged educational institutions to adopt digital-based systems to improve the effectiveness of administrative management, including school library services. The library of SMA Muhammadiyah 4 Porong still applies a manual system, which causes several problems such as recording errors, difficulties in searching for books, and inefficiency in the borrowing and returning process. This study aims to develop a website-based library information system called MY PERPUS to support library administration and improve service quality. The development method used in this research is the Waterfall model, which consists of requirement analysis, system design, and website development stages. Data were collected through observation and interviews with library staff and visitors. The developed system is equipped with login and registration features, book master data management, borrowing and returning transactions, and book return reminder notifications via Gmail. System testing using the black-box testing method indicates that all features function properly and produce outputs that meet the expected results. Therefore, the MY PERPUS website is able to improve the efficiency of library management, facilitate book searching, and help minimize delays in book returns..
Co-Authors Abdiansah, Lutfi Abdul Haris Setya Nugraha Abror, M Abror, M. Achmad Alfian Fajriansyah Achmad Danu Zakaria Achmad Danu Zakaria Adam Putra Addriana Fatma Putri Indah Sari adham Adi Putra, Lutfi Adiffanani Ramdansyah Adilla Syafira Putri Adimas Priyambadha Agil Fajar Dwi Prasetyo Agus Miftakhurrohmat Agustin, Erlina Ahmad Muflih Aisha Hanif Alan Budi Kusuma Kusuma Aldo Ardiansyah Aliful Fatikh Pulunggono Suseta Alim, Kholqi Aminy, Ritzana Aisyah Ananda Firly Amelia Anang Tri Yuhono Andriani Eko Prihatiningrum Andrinai Eko Prihatiningrum Anggraeni, Anifah Warda Arif Senja Fitrani Arif Senja Fitrani Arif Senja Fitriani Arjuna Adlina Martha Ayu Anggilina Ayu Dwi Ratna Ningsih Azizah, Nurul Lutfi Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azinar Bisri, Muhammad Anhar Chulloh, Dafid Mizta Cindy Taurusta Cornelius, Cornelius Daffa Fauzanrio Iswinarko Damara, Rivaldi Garindra Damasta, Ifanda Reza Deby Kurniawan Armananda Diba, Naila Farah Dimas Bayu Anjasmara Dimas Sya’aldi Pasa Dini Aprilia Puspitasari Dini Yocta Prabayanti Dona Ardiansyah Donni Adeleo Ardana Dulkarnain, As’ad Dwi Cahyono, Qitfirul Erika Anjani Putri Eriyanto, Sandi Eko Erlina Agustin Fahrizal Arman Faiqotul Himma Ramadhanti Fanani, Muchammad Ichsanuddin Fandy Rachmatulloh Febri Rosita Dewi Feny Anggraeny Firmansah, Noval Firmanto fitria, Saniya Izza Fitriah Fitriah Fuad Azis Muslim Fungky Ariya Wardana Ghozali, M Fahruddin Ginanjar Agung Sudrajat Gita Wardani Gita Wardani Givari Eka Fajar Guko, William Yviis Habib Husain Amirullah Hamid, Moch Siddiq Hamza Setiawan Hamzah Setiawan Hazmi Ramadhan Al fatri Hendri Hermawan Hermawan, Tunggal Hibatullah Putra, Dimas Radito Hindarto Hindarto Hindarto Ika Ratna Ika Ratna Indra Astutik Imanda, Almyra Gitta Indah Kurniawati Indrawati, Marcella Irene Elvariani Dewanti Jamal Hasan khoirunnisa devita sari Kurnia Ningtiyas Lazuardi, Fajar Lola Herawati Luluk Asti Qomariah Luqmanul Hakiym Maulana M Fahruddin Ghozali Macfhul Indrakurniawan Makhfudzoh, Fury Maulana, Mahardika Rafi Ma’ruf , Mohammad Rizal Metatia Intan Mauliana Metatia Intan Mauliana Miftahurrohmat, A Miftakhurrohmat, A. Moch Alfan Rosyid Moch Siddiq Hamid Mochamad Alfan Rosid Mochammad Alfan Rosid Mochammad Raflie Lazuardi Moh. Attar Jibran Mohammad Fadli Zaka Mohammad Rizal Ma'ruf Muchammad Bagus Sasmita muchammad david mahendra Muchammad Issom Agustian Muhammad Abror Muhammad Alfin Firdiansyah Muhammad Alifiansyah Putra Muhammad Arif Fa’i Muhammad Arshiel Naufal Dzaki Muhammad Fajar Alfian Muhammad Farid Yuliansyah Muhammad Najih Fairuzzamani Muhammad Rozzaq Muhammad Syauqil Muhammad Zainal Abidin Nahriyan Zidan Bahar Rizqi Naila Adiba Naila Farah Diba Nanda Mujahidah Andini Naufal Raihan naufal Nella Prima Yeni Nila Sekardhani Hadian Nisa, Umi Khoirun Nouval Aulia Rachman Novia Ariyanti Nuril Lutvi Azizah Nurul amiroh Octavia, Elga Padova Bima Maldini Pranatadityo, Billy Prasetyana, Dwi Gilang Ramadhan Pratama, Hepi Yoga Pratama, Robby Pratiwi, Rosa Machmuda Putra F, M. Bagus Putra, Fariq Abdillah Maulana Putri, Revanda Silva Astianto Ratih Sri Yunarti Reyhan Haqiqi Alif Fourniawan Rizki, M. Alvan Rizky Budi Aprianto Rizky Rahmahdian Sandy Rohman Dijaya Rosydah Rihadhatu Aisyiyah Rukhi Alfian, Muhammad Sabilah, Hasya Saiful Arifin Saiful Arifin Salsabil, Muhammad Saputra, Abhirama Septya Bayu Andita Serlindha Tri Andini Shiddqy Hidayat, Syahril Shierly Mayco Angela Siti Nurjanah Ramadhany Steven Gerrard Suhendro Busno Suhendro Busono Sukma Aji Sumarno , Sumarno Sumarno . Sumarno Sumarno Suprianto Syahfrizka Dyah Nazwa Umbara Syaifudin, Hilmi Fajar Sylfanie Sekar Mayang Tasya Gusti Amalia Teguh Hardianto Putra Teguh Prasetyo Uce Indahyanti Umi Khoirun Nisak Vevy Liansari Vevy Liansari via nabila banda Viarini, Dina Dwi Okta Wardani, Gita Wijaya, Naufal Ariq Wijayanto, Moch Eri Witno, Kasaifi Al Qurdhowi Bin Wulandari, Alidza Septiam Yanita Wardhani Yulian Findawati Yunianita Rahmawati Yuzefa, Hihaniza Lela Zahputra, Aldy Trisza Zaka, Mohammad Fadli Zuyyina Fihayati