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All Journal International Journal of Electrical and Computer Engineering Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab CogITo Smart Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Journal of Education Technology Jurnal Tekno Insentif JURTEKSI EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Infotekmesin Journal of Information Systems and Informatics Jurnal Sistem Komputer dan Informatika (JSON) Journal of Innovation Information Technology and Application (JINITA) Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Journal of Applied Data Sciences Jurnal Pendidikan dan Teknologi Indonesia Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Algoritma Jurnal Pengabdian Mitra Masyarakat (JPMM) Padma: Jurnal Pengabdian Kepada Masyarakat Bulletin of Social Informatics Theory and Application Jurnal Riset Teknik Komputer CSRID Southeast Asia Journal on Open and Distance Learning
Rujianto Eko Saputro
Universitas Amikom Purwokerto
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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An Analisis Penerimaan Pengguna Quizizz pada SMPN 3 Susukan Banjarnegara dengan Menggunakan Pendekatan Technology Acceptance Model (TAM) yang diperluas Safitri Maharani, Titi; Eko Saputro, Rujianto; Setyo Utomo, Fandy
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 9 (2025): JPTI - September 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.1017

Abstract

Pemanfaatan teknologi dalam pendidikan telah mengalami perkembangan pesat, terutama dalam metode evaluasi pembelajaran. Salah satu platform yang banyak digunakan adalah Quizizz, sebuah aplikasi berbasis gamifikasi yang memungkinkan kuis interaktif secara daring. Quizziz menawarkan berbagai keunggulan seperti fleksibilitas, umpan balik instan, dan pengalaman belajar yang lebih menarik, akan tetapi pengguna masih menghadapi berbagai tantangan adopsi terhadap teknologi. Penelitian ini bertujuan untuk menganalisis penerimaan penggunaan Quizizz dalam pembelajaran menggunakan pendekatan Technology Acceptance Model (TAM). Data dikumpulkan dari 222 responden, yang terdiri dari siswa dan guru yang aktif menggunakan Quizizz dalam pembelajaran. Analisis data dilakukan menggunakan metode Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan perangkat lunak SmartPLS untuk menguji validitas, reliabilitas, serta hubungan antar variabel dalam model penelitian ini. Hasil analisis kuantitatif menunjukkan bahwa seluruh konstruk dalam model memiliki reliabilitas dan validitas yang sangat baik, dengan nilai Cronbach’s Alpha dan Composite Reliability masing-masing berada di atas 0,70 dan 0,90, serta nilai AVE di atas 0,50, yang menandakan konsistensi internal dan validitas konvergen yang memadai. Hasil uji model struktural menunjukkan bahwa sikap terhadap penggunaan (Attitude Toward Using/AM) memiliki pengaruh paling kuat dan signifikan terhadap niat perilaku (Behavioral Intention/BI) dengan nilai koefisien ? = 0,744 dan p < 0,001. Selain itu, efikasi diri (Self-Efficacy/SE) dan kondisi yang memfasilitasi teknologi (Technology Facilitating Conditions/TF) berpengaruh signifikan terhadap persepsi kemudahan penggunaan (Perceived Ease of Use/PEU), masing-masing dengan ? = 0,340 dan ? = 0,586 (p < 0,001). Kualitas pengetahuan (Knowledge Quality/KQ) berpengaruh positif terhadap persepsi kegunaan (Perceived Usefulness/PU), sementara kualitas informasi (Information Quality/IQ) justru menunjukkan pengaruh negatif yang signifikan terhadap PU. Di sisi lain, hubungan antara PU dan BI, PEU dan BI, serta Social Influence (SI) terhadap BI tidak menunjukkan signifikansi statistik. Hasil ini menunjukkan bahwa penerimaan Quizizz lebih ditentukan oleh faktor personal pengguna, khususnya sikap dan kepercayaan diri, dibandingkan dengan aspek fungsional platform atau dorongan eksternal. Penelitian ini merekomendasikan pengembangan fitur yang lebih ramah pengguna serta optimalisasi pelatihan bagi guru dan siswa untuk memaksimalkan manfaat dari platform ini.
Comparative Analysis of ArUco Marker Detection Techniques Using Adaptive Thresholding, CLAHE, and Kalman Filter for Smart Cane Applications Yulianto, Koko Edy; Saputro, Rujianto Eko; Utomo, Fandy Setyo
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4883

Abstract

This study aims to analyze and compare the effectiveness of three image processing techniques  Adaptive Thresholding, CLAHE, and Kalman Filter in enhancing the performance of ArUco marker detection for a smart cane system designed for visually impaired individuals at SLB Kuncup Mas Banyumas. The evaluation method includes detection accuracy, marker position precision, and computational time required by each technique under two different lighting conditions: daytime and nighttime. The results show that all three image processing techniques successfully achieved a 100% detection accuracy for ArUco markers. However, significant differences were observed in computational time, with Kalman Filter demonstrating the fastest processing speed, making it the most efficient option for real-time applications requiring quick response. CLAHE and Adaptive Thresholding performed better in uneven lighting conditions, although they required longer computational times. Kalman Filter is therefore recommended for marker-based navigation systems in environments demanding fast response times, while CLAHE and Adaptive Thresholding are better suited for settings with variable lighting intensities. The implications of these findings open opportunities for developing adaptive navigation systems capable of dynamically adjusting image preprocessing methods based on real-time environmental conditions. This study contributes practically to the advancement of assistive navigation technologies for visually impaired individuals, particularly in the development of visual marker-based detection systems. The results also provide a useful guideline for selecting appropriate image processing techniques according to environmental characteristics, thereby improving the accuracy and adaptability of navigation systems across diverse lighting conditions and operational environments.
Klasifikasi Spam Bahasa Indonesia dengan IndoBERT dan XLM-RoBERTa: Evaluasi Pooling, Stride, dan Late-Fusion Darmono, Darmono; Saputro, Rujianto Eko; Barkah, Azhari Shouni
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.8034

Abstract

Spam detection for Indonesian short messages such as SMS and email remains challenging due to lexical variation, character obfuscation, and class imbalance. This study provides a systematic evaluation to determine the most balanced configuration between accuracy and efficiency for Indonesian spam filtering. We compare two pretrained backbones (IndoBERT and XLM RoBERTa), along with representation strategies (truncation versus chunking), summarization schemes (pooling), and feature fusion approaches. The system follows a feature based design with an emphasis on simplicity, and is assessed using F1 Macro, spam class recall, AUPRC (Area Under the Precision Recall Curve), and efficiency metrics in terms of embedding build time and training latency. Results indicate that IndoBERT achieves superior binary classification performance with high efficiency, while XLM RoBERTa slightly outperforms on AUPRC, making it more suitable for risk ranking scenarios. Truncation combined with mean pooling consistently yields stable results. Although late fusion only provides marginal improvements, it remains relevant as it highlights the potential of domain specific signals to enhance robustness under heavy obfuscation. The final recommendation for production is IndoBERT with truncation, mean pooling, and embedding only. Limitations include the focus on short messages and the lack of evaluation under extreme obfuscation. Future work should explore character level augmentation, cross domain evaluation, and cost sensitive threshold tuning.
Pendampingan dan Pelatihan Metodologi Penelitian Kuantitatif Bagi Mahasiswa Pusat Studi MGM Prasetyo, Agung; Ndari, Arum Vika; Tanzilla, Armeyta Putri; Saputro, Rujianto Eko; Wijaya, Anugerah Bagus; Hamdi, Aulia; Suliswaningsih, Suliswaningsih
Jurnal Pengabdian Mitra Masyarakat (JPMM) Vol 5, No 2: Oktober (2023)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jpmm.v5i2.2820

Abstract

AMIKOM University in Purwokerto, through its 6 study centers, requires and trains each student to write scientific papers, such as scientific reports, articles, theses, and scientific journals. The survey results agreed upon by the partners highlight several issues in this program. These issues include students' lack of understanding regarding the core issues in research, insufficient preparedness in creating suitable materials, theories, and references before designing a research proposal, and ambiguity in formulating research problems. Students also lack understanding of the research methodology they will use and are not accustomed to writing and citing scientifically. Many students still do not understand research methodology and are less skilled in designing research proposals. The learning process in lectures often feels monotonous because they are dominated by speeches and Q&A sessions, and students are not actively involved enough in searching and digging for information or theories. Only a few students get the opportunity to participate in guided exercises in formulating problems, selecting theories relevant to the problem, and choosing research methodology. This becomes a challenge that must be addressed in this program. The solution to these problems is to conduct training and mentoring for students to improve the quality of student research. In implementing this service, we use the Direct Action Method. This method includes several steps, namely Diagnosing, Action Planning, Action Taking, Evaluating, and Learning. These steps refer to the diagnostic process, action planning, action implementation, evaluation, and learning. This service has been successful in increasing the capacity of student human resources and students' abilities in research, which will benefit students in the future.
Teknologi Animasi 3D untuk Representasi Tipe Perumahan Sapphire Madani Purnawati, Ely; Octavianto, Embong; Saputro, Rujianto  Eko ; Ikmah, Ikmah
Jurnal IT UHB Vol 4 No 1 (2023): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/ikomti.v4i1.1182

Abstract

Keberadaan sebuah perumahan dapat menjadi solusi atas meningkatnya kebutuhan hunian masyarakat modern. Sapphire Madani Karangsalam Purwokerto memiliki beberapa tipe rumah yang dikembangkan di antaranya adalah tipe 69/135 dan tipe 40/91. Namun sayangnya pihanya belum memiliki sebuah media yang dapat dijadikan representasi perumahan yang ditawarkan. Untuk itu diperlukan sebuah media yang dapat dijadikan representasi dari tipe-tipe perumahan, sehingga para konsumen tidak harus datang langsung untuk mengetahui contoh rumah yang ada di lokasi sekaligus menghemat waktu, biaya dan tenaga. Salah satunya adalah dengan menggunakan teknologi animasi 3D. Tujuan penelitian ini yaitu memanfaatkan penggunaan teknologi animasi 3D untuk representasi tipe Perumahan Saphire Madani. Penelitian ini menggunakan metode MDLC (Multimedia Development Life Cycle). Proyek penelitian ini menghasilkan berhasil dibuatnya representasi tipe perumahan dalam bentuk video animasi 3D
Aplikasi Damai : Desain Persuasif Aplikasi Konsultasi Kesehatan Mental Berbasis Mobile Menggunakan User Centered Design Indriyani, Ria; Eko Saputro, Rujianto; Millatul Izza, Nia; Afriansyah, Fery; Salsa Dhia, Hasna; Aimah, Samsul; Munandar, Irwansyah; Tea Makdatuang, Radeta
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2204

Abstract

Mental health is health related to a person's emotional, mental and psychological condition. Anxiety disorders are conditions in which individuals experience anxiety for short periods of time or intense episodes, where this anxiety can occur for no apparent reason. Damai is a mobile-based application designed to help overcome mental health problems, especially anxiety disorders among teenagers. This research focuses on designing a user interface that involves users directly at every stage of UCD, starting from user needs, concept design, to implementation of application prototypes. The success of this research was designing a mobile-based mental health consultation application to help teenagers who suffer from mental health. This application successfully provides several features such as mental health tests, online or offline counseling and pharmacy services. In trials conducted on 6 participants, the success of the trial can be concluded that the average direct success was 100%, the misclick rate was 25%, and the average duration was 38.1 seconds.
Comparative Analysis of Decision Tree, Random Forest, Svm, and Neural Network Models for Predicting Earthquake Magnitude Turino, Turino; Saputro, Rujianto Eko; Karyono, Giat
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.2378

Abstract

This study conducts a comparative analysis of four machine learning algorithms—Decision Tree, Random Forest, Support Vector Machine (SVM), and Neural Network—to predict earthquake magnitudes using the United States Geological Survey (USGS) earthquake dataset. The analysis evaluates each model's performance based on key metrics: Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and the coefficient of determination (R²). The Random Forest model demonstrated superior performance, achieving the lowest MAE (0.217051), lowest RMSE (0.322398), and highest R² (0.574261), indicating its robustness in capturing complex, non-linear relationships in seismic data. SVM also showed strong performance, with competitive accuracy and robustness. Decision Tree and Neural Network models, while useful, had comparatively higher error rates and lower R² values. The study highlights the potential of ensemble learning and kernel methods in enhancing earthquake magnitude prediction accuracy. Practical implications of the findings include the integration of these models into early warning systems, urban planning, and the insurance industry for better risk assessment and management. Despite the promising results, the study acknowledges limitations such as reliance on historical data and the computational intensity of certain models. Future research is suggested to explore additional data sources, advanced machine learning techniques, and more efficient algorithms to further improve predictive capabilities. By providing a comprehensive evaluation of these models, this research contributes valuable insights into the effectiveness of various machine learning techniques for earthquake prediction, guiding future efforts to develop more accurate and reliable predictive models.
DESIGNING UI/UX OF DOCTOR'S CONSULTATION APPLICATION USING DESIGN THINKING METHOD Damayanti, Wenti Risma; Kuncoro, Adam Prayogo; Subarkah, Pungkas; Saputro, Rujianto Eko
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.v10i2.3053

Abstract

Abstract: For all people in the world, the application of information and communication technology has become something that is used in everyday life. All information can be accessed easily using current developments in various technologies. The process of searching for various information on the internet has become a habit of today's society. One of the information that people often seek is about health. Several available online health consultation service applications provide considerable benefits for all users. One method used for the UI and UX design process is design thinking. The average user of the application is 18-35 years old. The user interface provided in this application is not yet user friendly, especially for the elderly. User interface (UI) and user experience (UX) are important so that users feel comfortable when using an application.            Keywords: information technology; consulting application; UI/UX; design thinking  Abstract: Bagi seluruh masyarakat di dunia, penerapan teknologi informasi dan komunikasi menjadi hal yang sudah digunakan dalam kehidupan sehari-hari. Seluruh informasi dapat diakses dengan mudah menggunakan perkembangan berbagai macam teknologi saat ini. Proses mencari berbagai informasi di internet sudah menjadi kebiasaan masyarakat saat ini. Salah satu informasi yang sering dicari oleh masyarakat yaitu tentang kesehatan. Beberapa aplikasi layanan konsultasi kesehatan online yang tersedia memberikan manfaat yang cukup besar bagi seluruh pengguna. Salah satu metode yang digunakan untuk proses desain UI dan UX adalah design thinking. Pengguna aplikasi tersebut rata-rata berusia 18-35 tahun. Tampilan user interface yang disediakan pada aplikasi tersebut belum bersifat user friendly, terutama bagi kalanagn lansia. User interface (UI) dan user experience (UX) menjadi hal penting supaya pengguna merasakan kenyamanan pada saat menggunakan sebuah aplikasi.            Keywords: teknologi informasi; aplikasi konsultasi; UI/UX; design thinking
Optimalisasi UX Aplikasi Penyewaan Peralatan Bayi dengan Design Thinking dan Evaluasi SUS Ismail, Dimas Shafa Malik; Saputro, Rujianto Eko
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 6 No. 4 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i4.8657

Abstract

Penyewaan perlengkapan bayi menjadi solusi praktis bagi orang tua yang membutuhkan alat dalam jangka waktu terbatas. Namun, dalam praktiknya, masih banyak layanan penyewaan yang berjalan secara manual dan belum efisien, sehingga menimbulkan kendala seperti keterbatasan informasi, proses pemesanan yang rumit, serta waktu layanan yang tidak fleksibel. Penelitian ini bertujuan untuk merancang dan meningkatkan kualitas antarmuka pengguna (UI) serta pengalaman pengguna (UX) melalui pengembangan aplikasi mobile berbasis metode Design Thinking, guna meningkatkan efisiensi layanan dan kepuasan pengguna. Proses perancangan mengikuti lima tahap, yaitu Empathize, Define, Ideate, Prototype, dan Test, dengan diawali wawancara serta observasi untuk memahami kebutuhan pengguna, kemudian dilanjutkan dengan perancangan wireframe, alur navigasi, hingga pengujian prototipe low-fidelity dan high-fidelity. Evaluasi dilakukan dengan metode System Usability Scale (SUS) terhadap 15 responden yang merepresentasikan target pengguna. Hasil pengujian menunjukkan skor rata-rata SUS sebesar 77,17, yang menandakan aplikasi memiliki tingkat kegunaan tinggi dan respons positif dari pengguna. Temuan ini membuktikan bahwa pendekatan Design Thinking efektif dalam menghasilkan desain aplikasi penyewaan yang intuitif, ramah pengguna, dan mampu meningkatkan pengalaman digital pelanggan secara signifikan.
PROGRAM PENDAMPINGAN PENULISAN ILMIAH UNTUK MENINGKATKAN JUMLAH PUBLIKASI ILMIAH MAHASISWA Sarmini, Sarmini; Saputro, Rujianto Eko; Utomo, Fandy Setyo; Hidayatulloh, Hanif; Indriyani, Ria; Ramadhan, Rio Fadly
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 7, No 4 (2023): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v7i4.17570

Abstract

ABSTRAKKurangnya pengetahuan dan keterampilan mahasiswa Fakultas Ilmu Komputer untuk menulis artikel ilmiah menyebabkan rendahnya jumlah luaran jurnal ilmiah yang dihasilkan oleh mahasiswa sebagai luaran program Merdeka Belajar Kampus Merdeka (MBKM) di semester gasal tahun akademik 2022/2023. Berdasarkan permasalahan tersebut, kami mengusulkan pelaksanaan kegiatan webinar pendampingan penulisan jurnal ilmiah bagi mahasiswa Fakultas Ilmu Komputer yang bertujuan untuk meningkatkan kemampuan menulis artikel ilmiah dan meningkatkan jumlah publikasi ilmiah mahasiswa sebagai luaran program Merdeka Belajar Kampus Merdeka. Ada tiga tahapan dalam pelaksanaan kegiatan yaitu tahap persiapan, implementasi dan evaluasi. Kegiatan pendampingan dilakukan secara daring dengan menghadirkan narasumber dari Universiti Teknikal Malaysia (UTeM) dan diikuti oleh 117 mahasiswa yang mengikuti program MBKM di semester genap 2022/2023. Dampak dari kegiatan webinar yang telah dilaksanakan yakni meningkatnya jumlah publikasi artikel ilmiah mahasiswa Fakultas Ilmu Komputer sebagai luaran program MBKM di semester genap tahun akademik 2022/2023. Berdasarkan data yang diperoleh dari Fakultas Ilmu Komputer Universitas AMIKOM Purwokerto terdapat sejumlah 192 tulisan artikel ilmiah mahasiswa yang telah dikirimkan ke beberapa jurnal nasional. Kata kunci: assistance; merdeka belajar kampus merdeka; scientific writing; collaboration; research ABSTRACTComputer Science Faculty students' lack of knowledge and skills to write scientific articles has resulted in the low number of scientific journals produced by students as outputs of the Merdeka Belajar Kampus Merdeka (MBKM) Program in the odd semester of the 2022/2023 academic year. Based on these problems, we propose implementing a webinar to assist scientific journal writing for students of the Faculty of Computer Science, which aims to improve the ability to write scientific articles and increase the number of students' scientific publications as an output of the Merdeka Belajar Kampus Merdeka program. There are three stages in implementing activities: preparation, implementation, and evaluation. Mentoring activities were carried out online by presenting resource persons from Universiti Teknikal Malaysia (UTeM) and were attended by 117 students taking part in the MBKM program in the even semester 2022/2023. The impact of the webinar activities that have been carried out is the increase in the number of publications of scientific articles by Faculty of Computer Science students as an output of the MBKM program in the even semester of the 2022/2023 academic year. Based on data from the Faculty of Computer Science, Universitas AMIKOM Purwokerto, 192 student scientific articles have been submitted to several national journals. Keywords: accompaniment; study center; games; collaboration; research
Co-Authors Adam Prayogo Kuncoro Adam Prayogo Kuncoro Adiya, Az Zahra Dwi Nur Afriansyah, Fery Aimah, Samsul Anugerah Bagus Wijaya Aptana, Naufal Yogi Arif Mu'amar Wahid Aulia Hamdi Azhari Shouni Barkah Bagaskoro, Galih Baihaqi, Wiga Maulana Berlilana Berlilana Berlilana Bunga Asriandhini Chyntia Raras Ajeng Widiawati Damayanti, Wenti Risma Dani Arifudin Darmono Deasy Komarasary Dhanar Intan Surya Saputra Dhanar Intan Surya Saputra Dinar Mustofa Dwi Angesti Dinda Parameswara Ely Purnawati Ely Purnawati, Ely Embong Octavianto Fandy Setyo Hutomo Fandy Setyo Utomo Fandy Setyo, Utomo Fatudin, Arif Faturama, Rafi Febriansyah Husni Adiatma Febrianti, Diah Ratna Fery Afriansyah Fiby Nur Afiana Giat Karyono Hasna Salsa Dhia hidayatulloh, hanif Ikmah Ikmah Ikmah, Ikmah Ilham, Rifqi Arifin Indriyani, Ria Irwansyah Munandar Ismail, Dimas Shafa Malik Junianto, Haris Kusuma, Bagus Adhi Latif, Imam Sofarudin Linda Perdana Wanti Lughri Wijaya Pamungkas Maulana Baihaqi, Wiga Millatul Izza, Nia Mohamad, Siti Nurul Mahfuzah Mohd. Hafiz Zakaria Muhammad Nur Faiz Munandar, Irwansyah Nanjar, Agi Ndari, Arum Vika Nia Millatul Izza Novita Eka Ramadhani Nugroho, Lustiyono Prasetyo Nur Rahma Keysha Maharani Maharani Nurmalitasari, Gupita Octavianto, Embong Pandu W, Muhammad Arfianto Prasetyo, Agung Priaji Januardi Primandani Arsi Pungkas Subarkah Purwadi Purwadi Purwadi Purwadi R. Vitto Mahendra Putranto Radeta Tea Makdatuang Ramadhan, Rio Fadly Ranggi Praharaningtyas Aji Ria Indriyani Rida Purnama Sari Rizqi Aulia Widianto Rohmah, Umdah Aulia Rosana Fadila Sari safitri feriawan, Titi Salam, Sazilah Salsa Dhia, Hasna Samsul Aimah Saputra , Dhanar Intan Surya Saputra, Alfin Nur Aziz Saputri, Inka Sari, Rida Purnama Sarmini Sarmini - Sarmini Sarmini Sarmini Sazilah Salam Serli, Serli Shendy Filanzi Slamet Endro Prianto Sofa, Nur Sri Hartini Suliswaningsih, Suliswaningsih Syahputra, Akhmal Angga Tanzilla, Armeyta Putri Tea Makdatuang, Radeta Titi Safitri Maharani Toni Anwar Turino, Turino Wasihatun Hasanah Wenti Risma Damayanti Wiga Maulana Baihaqi Wijaya, Anugerah Bagus Yuli Purwati Yulianto, Koko Edy Yusoff, Azizul Mohd Zanuar Rifai