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All Journal Jurnal Teknik Mesin Jurnal Akuntansi Muhammadiyah Jurnal Ilmu Sosial dan Humaniora Jurnal Akuntansi Profesi JAM : Jurnal Aplikasi Manajemen EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Journal of Research and Technology Jurnal Dimensi Pendidikan dan Pembelajaran JKTP: Jurnal Kajian Teknologi Pendidikan SENTRALISASI Technomedia Journal Jurnal Penamas Adi Buana International Journal of Social Science and Business EDUPEDIA Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) JIA (Jurnal Ilmiah Akuntansi) Jurnal Teknologi Terpadu The International Journal of Business Review (The Jobs Review) JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan) Applied Technology and Computing Science Journal TLEMC (Teaching and Learning English in Multicultural Contexts) ADI Journal on Recent Innovation (AJRI) Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sains Manajemen dan Bisnis Indonesia Jurnal Mnemonic Jurnal Ilmiah Manajemen Kesatuan Lexeme : Journal of Linguistics and Applied Linguistics BUDGETING : Journal of Business, Management and Accounting Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Economics and Business UBS KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Ekonomi Journal of Applied Business, Taxation and Economics Reseach Jurnal Sistem Informasi Universitas Dinamika Jurnal Kesehatan dan Olahraga Pharmacy Reports Jurnal Akuntansi, Manajemen Dan Ekonomi Islam (JAM-EKIS) Jurnal Informatika Teknologi dan Sains (Jinteks) Penamas: Journal of Community Service Procedia of Social Sciences and Humanities Jurnal Abdimas Musi Charitas MASALIQ: Jurnal Pendidikan dan Sains Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Dikdimas : Jurnal Pengabdian Kepada Masyarakat Jurnal E-bussiness Institut Teknologi dan Bisnis Muhammadiyah Polewali Mandar Journal Of Humanities Community Empowerment Journal of Engineering and Transportation (JET) Blockchain Frontier Technology (BFRONT) The Indonesian Journal of Computer Science Jurnal Ilmiah Informatika dan Komputer Jurnal Riset Multidisiplin Edukasi Akademika Jurnal Teknologi Pendidikan CYBER-Techn(Jurnal Informatika dan Industri) Jurnal Penelitian IPTEKS Proceeding of International Conference on Social Science and Humanity Journal of Computer Science and Technology Application Sirajuddin: Jurnal Penelitian dan Kajian Pendidikan Islam Jurnal Ilmu Ekonomi dan Bisnis
DWI CAHYONO
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Studi Literature : Pelaksanaan Rekam Medis Elektronik Pada Rumah Sakit Dwi Cahyono; Fatika Nur Rokhimah; Tengku Muhammad Ramdani; Erinaldi
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 12 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi Desember 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i12.1408

Abstract

Electronic Medical Records (EMRs) are a crucial element in advancing healthcare services, driven by technological and legal advancements, offering benefits such as efficiency, data accuracy, and enhanced patient safety. However, EMR implementation faces challenges, including differences in user perceptions and technical obstacles, necessitating effective strategies to optimize their use. This study aims to describe the challenges and benefits of implementing electronic medical records in hospitals. This study is a literature review using the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) framework. It was found that the success of EMR implementation in hospitals is influenced by ease of use, benefits, human resource readiness, and infrastructure. However, challenges such as medical staff resistance, budget constraints, accessibility, and data security risks persist. Effective change management and cost management strategies are necessary to ensure system sustainability. The implementation of Electronic Medical Records (EMRs) enhances healthcare service efficiency, information access, and patient safety. However, it faces challenges such as low digital literacy, system limitations, and inadequate medical staff commitment. Effective strategies are required for optimal EMR implementation..
Strategic Integration of Cloud Cybersecurity for Resilient Digital Business Transformation Erika, Erika; Hari Safariningsih, Ratna Tri; Cahyono, Dwi; Rangi, Noah
ADI Journal on Recent Innovation Vol. 7 No. 1 (2025): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i1.1313

Abstract

The increasing reliance on cloud computing technologies has driven digital business transformation across various industries, offering scalability, flexibility, and cost efficiency. However, this rapid adoption has simultaneously introduced complex cybersecurity challenges, including data breaches, unauthorized access, and system vulnerabilities that threaten operational continuity and trust. In response to these growing concerns, this study aims to analyze and develop effective cloud based cybersecurity strategies that enhance the resilience of digital business operations during transformation processes. The objective of this research is to identify and evaluate strategic cybersecurity practices that can strengthen cloud infrastructure during digital change. Employing a mixed method approach, the research combines an extensive literature review with qualitative expert interviews involving IT professionals and cybersecurity practitioners from cloud reliant enterprises. A total of 126 participants were involved in the data collection phase, comprising 98 valid survey respondents and 28 interview informants. The results reveal that while many organizations have implemented basic cloud security protocols, only a few have adopted comprehensive, adaptive frameworks capable of withstanding evolving cyber threats. Key strategic elements identified include the integration of zero trust architecture, continuous risk assessment, multi factor authentication, cloud native security tools, and regular employee training. Furthermore, organizations that embedded cybersecurity planning into their digital transformation roadmap demonstrated higher resilience, faster recovery from incidents, and stronger regulatory compliance. Based on these findings, the conclusion emphasizes that a proactive, strategy driven approach to cloud cybersecurity not only mitigates risks but also strengthens the long term sustainability of digital transformation efforts. The proposed framework serves as a guide for decision makers seeking to secure their cloud infrastructure while maintaining agility and innovation in an increasingly digital and threat prone business environment.
Comparative Analysis of Naïve Bayes and K-Nearest Neighbor for Lexicon-Based Emotion Classification of Paxel App User Reviews Salsabilah, Azka; Vitianingsih, Anik Vega; Cahyono, Dwi; Lidya Maukar, Anastasia; Zangana, Hewa Majeed
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16516

Abstract

The rapid growth of app-based delivery services has increased the importance of understanding user emotions as an indicator of service quality. User reviews on digital platforms provide valuable insights into customer perceptions, satisfaction levels, and service-related issues. This study aims to compare the performance of Naïve Bayes and K-Nearest Neighbor (KNN) algorithms in classifying user emotions related to the Paxel application. The dataset was collected from Google Play Store and X (Twitter) using web scraping techniques and subsequently processed through text pre-processing stages, including case folding, tokenization, and stopword removal. Emotion labels were assigned using the NRC Indonesian Emotion Lexicon, while feature extraction was performed using the TF-IDF method. To address class imbalance, the Synthetic Minority Oversampling Technique (SMOTE) was applied prior to model training. Experimental results show that the Naïve Bayes model achieved the highest overall accuracy of 90.83% with a weighted F1-score of 0.90, while the KNN model obtained an accuracy of 81.21% and a weighted F1-score of 0.77. Both models performed well in identifying happy, sad, and neutral emotions, whereas anger remained the most challenging class to classify. Overall, Naïve Bayes demonstrated more consistent and reliable performance for sentiment analysis tasks..
ANALISIS SENTIMEN ULASAN PRODUK SPAREPART MOTOR DI E-COMMERCE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM) Reza Ega Resnanda; Dwi Cahyono; Anik Vega Vitianingsih
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 9 No 1 (2026): Jurnal SKANIKA Januari 2026
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v9i1.3608

Abstract

This study was motivated by the increasing use of e-commerce in Indonesia, which highlights the importance of analyzing customer reviews as a basis for evaluating product and service quality. This study aims to analyze the sentiment of reviews of Honda motorcycle spare parts at the Ducks Garage store on the Tokopedia platform using the Support Vector Machine (SVM) algorithm. The dataset used consists of 2.537 reviews obtained through web scraping techniques and processed through text preprocessing stages, including data cleaning, normalization, tokenization, stopword removal, and stemming. Sentiment labelling was carried out into three classes, namely positive, negative, and neutral, with lexicon-based and feature weighting using the Term Frequency–Inverse Document Frequency (TF-IDF) method. Data distribution imbalance was handled using the Synthetic Minority Over-Sampling Technique (SMOTE) method. The SVM model was tested using three types of kernels, namely Linear, Polynomial, and Radial Basis Function (RBF). The test results showed that the RBF kernel produced the best performance with an accuracy of 92.79%, followed by the Linear kernel at 89.89% and the Polynomial kernel at 72.57%. The conclusion of this study shows that the application of SVM with SMOTE data balancing is effective in classifying the sentiment of e-commerce product reviews and can be used to support data-driven business decisions based on customer data.
Exploring Financial Management Behavior among University Students: A Grounded Theory Approach Cahyono, Dwi; Aspirandi, Mirwan; Gusmao, Cristino; Bakti, Surya; Junaidi, Junaidi; Lestari, Evi
Jurnal Ilmiah Manajemen Kesatuan Vol. 14 No. 1 (2026): JIMKES Edisi January 2026
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v14i1.4655

Abstract

This research explores the interaction between financial literacy, attitudes, self-control, and social factors in shaping the financial behavior of students in Indonesia, incorporating the roles of fintech and social media. A qualitative grounded theory approach was employed, using in-depth interviews with 20 purposively selected participants. Findings reveal that although students have access to various financial information sources, their literacy and application levels remain limited. Their financial behavior is heavily influenced by social pressure, the fear of missing out phenomenon, and social media, often leading to impulsive spending. Families play a crucial role in forming early financial habits, while self-control is key to managing spending temptations. Students developed adaptive strategies like saving, reducing expenses, and using financial apps to overcome challenges. The study concludes that a holistic approach, enhancing financial literacy, strengthening self-control, and educating on the social-digital environment, is essential to improve student financial behavior. These implications provide a basis for developing more effective and contextual financial education programs in higher education.
Efficient Machine Learning Acceleration with Randomized Linear Algebra for Big Data Cahyono, Dwi; Sijabat, Apriani; Kamal Arif Al-Farouqi
CORISINTA Vol 3 No 1 (2026): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/rw6c2y67

Abstract

The rapid growth of big data has significantly increased the computational complexity of machine learning models, particularly due to intensive linear algebra operations that limit scalability and efficiency. This study aims to investigate the effectiveness of Randomized Linear Algebra (RLA) as an acceleration strategy for machine learning in large scale data environments. The research adopts an experimental methodology by integrating randomized techniques such as matrix sketching and random projection into standard machine learning pipelines and evaluating their performance against deterministic baseline approaches. Experiments are conducted on large dimensional datasets using multiple machine learning models, with performance assessed in terms of computational time, memory usage, model accuracy, and scalability. The results demonstrate that the proposed RLA based approach substantially reduces computational cost and memory consumption while maintaining comparable predictive accuracy to conventional methods. These findings indicate that randomized techniques provide an effective trade off between efficiency and accuracy, enabling scalable machine learning for big data applications. In conclusion, this study contributes to the advancement of efficient Artificial Intelligence (AI) systems by demonstrating that RLA can serve as a practical and scalable solution for accelerating machine learning computations in big data contexts, aligning with the growing demand for resource efficient and high performance AI infrastructures.
Technopreneurial Strategies Using Digitalization and Innovation to Strengthen Student Loyalty Maduwinarti, Ayun; Mahendra, I.G.N. Andhika; Cahyono, Dwi; Gusmao, Cristino
Aptisi Transactions On Technopreneurship (ATT) Vol 8 No 2 (2026): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v8i2.693

Abstract

This study aims to explore the interaction between service quality and digital transformation in reconstructing students' loyalty in higher education, with a specific focus on academic and non-academic services at Indonesian universities. The theoretical framework integrates service quality dimensions, digital transformation concepts, and loyalty models to provide a comprehensive understanding of how these factors shape students' loyalty in the digital era. Utilizing a Grounded Theory approach, data were collected through in-depth interviews with students, faculty members, and administrative staff. Data analysis involved open coding, axial coding, and selective coding to develop Digital-Service Synergy Theory explaining the loyalty reconstruction process. Findings indicate that while both service quality and digital transformation significantly influence student loyalty, their interaction creates a more complex dynamic that determines overall satisfaction and loyalty. Key factors influencing effectiveness include e-learning system quality, instructor responsiveness, technical support, and digital anxiety management. The study provides insights into optimizing the synergy between traditional service quality and digital transformation to enhance student loyalty and offers practical solutions for implementation challenges in higher education institutions.
Inovasi pengolahan limbah plastik menjadi produk paving block sebagai upaya pelestarian lingkungan di Desa Pablengan Anafih, Erwinda Sam; Cahyono, Dwi; Dianitami, Fitri; Anggita, Dito; Setiawan, Riski Bayu; Putra, Adimas; Ramadhani, Syifa; Jaka, Rindra; Ramadhani, Iwan
Penamas: Journal of Community Service Vol. 6 No. 1 (2026): Penamas: Journal of Community Service
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/penamas.v6i1.2882

Abstract

The problem of plastic waste management in Pablengan Village is triggered by the lack of a final disposal site (TPA) and the practice of open burning. This community service activity aims to convert plastic waste into paving blocks by mentoring the Karang Taruna (Youth Group) and local village officials as primary partners. Methods used included observation, participatory discussions, and technical production training. The activity results showed an increase in partners’ understanding of waste management from 35% to 85%, based on pre- and post-test results. The training involved 25 participants and resulted in the production of 50 prototype paving blocks utilising approximately 40 kg of plastic waste. This implementation has the potential to sustainably reduce plastic waste in the village while creating new economic opportunities. This program successfully transformed an environmental burden into functional infrastructure materials for the village.
ENHANCING SOLDIERS’ SUSTAINABLE PERFORMANCE THROUGH TRANSFORMATIONAL LEADERSHIP AND COMPENSATION: THE ROLE OF ORGANIZATIONAL CITIZENSHIP BEHAVIOR Adityara, Wisnu; Cahyono, Dwi; Herlambang, Toni
Jurnal Ilmiah Akuntansi, Manajemen dan Ekonomi Islam (JAM-EKIS) Vol. 9 No. 1 (2026): Jurnal Ilmiah Akuntansi, Manajemen, dan Ekonomi Islam (JAM-EKIS)
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jam-ekis.v9i1.9440

Abstract

This study aims to examine the direct and indirect effects of transformational leadership and compensation on sustainable performance, with Organizational Citizenship Behavior (OCB) as a mediating variable among soldiers of the 509th Infantry Battalion. Using an explanatory research approach, data were collected from 80 soldiers through a structured questionnaire and analyzed using SEM-PLS. The results show that transformational leadership and compensation significantly improve sustainable performance. Both variables also positively influence OCB, which in turn enhances sustainable performance. Mediation testing confirms that OCB partially mediates the effects of transformational leadership and compensation on sustainable performance, indicating that voluntary extra-role behaviors serve as an important behavioral pathway through which leadership and compensation strengthen long-term performance stability. The novelty of this research lies in integrating sustainable performance with leadership, compensation, and OCB within a military context—an area that remains underexplored in previous studies. This study also provides new empirical evidence on how OCB functions as a strategic mediator in high-discipline, high-risk organizational environments. The findings contribute theoretically by reinforcing models of transformational leadership, compensation, OCB, and sustainable performance, while practically offering recommendations for strengthening leadership practices, compensation fairness, and voluntary behaviors to enhance long-term operational readiness in military units.
Blockchain Integration for Secure Data Provenance and Interoperable Database Management Terra Saptina Maulani; Dwi Cahyono; Yansa Sendi Fadillah; Maulidya Reva Aprianti; John Edwards
Blockchain Frontier Technology Vol. 6 No. 1 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v6i1.1025

Abstract

The rapid advancement of digital technologies has led to a significant increase in data volume and complexity, while traditional database systems continue to face challenges in ensuring data security, integrity, transparency, and interoperability across platforms, resulting in higher risks of data tampering, limited audit trails, and the formation of data silos. This study aims to examine and develop a blockchain integration model with conventional database systems to strengthen secure data provenance and enhance interoperability among heterogeneous databases. This research proposes a hybrid architecture that combines on data recording using a permissioned blockchain with off data storage through Relational Database Management System (RDBMS) or Not Only SQL (NoSQL) databases, where blockchain functions as a trust layer that records data hashes, metadata, and immutable change histories, while system evaluation is conducted through security testing, data integrity assessment, auditability analysis, latency measurement, throughput evaluation, data consistency analysis, and cross-platform interoperability testing. The experimental results demonstrate that blockchain integration significantly improves data security and traceability by providing transparent and tamper-resistant audit trails, while enabling secure and consistent data exchange across systems through integration modules and API gateways, despite introducing additional performance overhead compared to conventional database systems. This study concludes that integrating blockchain with conventional database systems is an effective approach for ensuring secure data provenance and interoperable database management, offering a balanced trade-off between security, transparency, and system efficiency, and presenting strong potential for further development in large-scale distributed data environments.
Co-Authors A.A. Ketut Agung Cahyawan W Abadi Sanosra Abdullah, Anton Achmad Choiron Achmad Choiron Ade Susianti, Febrina Adityara, Wisnu Afriyani, Suci Ryski Nur Afroh, Ibna Kamilia Fiel Ahmad, Haidar Alif Putra Gunawan, Maulana Alkaromi, Muhammad Amri Alwiyah Alwiyah Amalia, Direstu Amarya, Grace Ezranda Anafih, Erwinda Sam Anastasia Lidya Maukar Anda Lusia, Anda Andhina Ika Sunardi ANGGI FIRMANSYAH Anggit Wikanningrum Anggita, Dito Anik Vega Vitianingsih Anik Vega Vitianingsih Apriani Sijabat Ari Wulanjati, Herlina Arief Rahman Hakim Arif Budianto Aspirandi, Mirwan Aspirandi, Rendy Mirwan Astutik, Rika Aswadi Jaya, Aswadi Ayun Maduwinarti Ayun Maduwinarti Ayuningtyas Palup, Risqi Ekanti Ayuningtyas Palupi, Risqi Ekanti Azzahra, Morra Fatya Gisna Nourielda Bakti, Surya Bambang Bagus Harianto Brown, Christina Budi Santoso Budiyono Budiyono Bungsu, Agung Pangeran Chrissanti, Agnes Maria Cilvi Chua Toh Hua Citra Dwi Ristantri Cristino Gusmao Damanik, Alaris Darasito Dananjaya, Gabriel Diah Probowulan Dian Deliana Dian Kusuma Wardani Dianitami, Fitri Dicha Kusuma Priambudi, Prisca Dinarso, Rahmat Cahyo Dwi Budi Santoso Dwi Prasetyo, Septian Dwi Ristantri, Citra Dwi Riyono, Ady Fajar Dyah Rohma Wati Eko Budi Santoso Eko Budi Satoto Erika Erika Erinaldi Erwin Purbosaputro Evi Lestari Evi, Evi Lestari Fahrudin, Rifqi Fatika Nur Rokhimah Fatmawati, Indra Fawaidul Badri Firda, Alverina Firdaus, M. Syahri Fitri Ana Wati, Seftin Fitrianingsih, Evi Guntoro, Widy Guntur, Yohanes Sri Gusmao, Cristino Hanik, Asmah Hanung Eka Atmaja Hari Safariningsih, Ratna Tri Haris Hermawan Haris Hermawan, Haris Herlambang, Toni I.G.N. Andhika Mahendra Ibnu Hanafi Ida Ayu Putu Sri Widnyani Indrawati, Linda Intan Sari, Rosi Avinda Jabbar, Malik Abdul Jaka, Rindra John Edwards Julianingsih, Dwi Julianto Lemantara Juliardin, Muhammad Alief Junaidi Junaidi Kamal Arif Al-Farouqi Kamil, Ibrahim Khairunnisa, Firstia Nurlaili Khamil, Abdul Khaulia, Ayu Tinis Khifdi, M. Yurisul Kusdarwanto, Heru Kusumaningrum Kusumaningrum Lailatul Qodriyah, Emilyati Lambang Trijono Lidya Maukar, Anastasia Litafira Syahadiyanti Lorenzo, Agung Maharani, Astrid Maharani, Astrid Maharani, Astrid Mahardika, Husein Satria Mahendra, I.G.N. Andhika Maisura Maisura Mardiansyah, Edi Maria, Lily Martiana, Nina Maryam Z, Amalina Mas, Ayu Masito, Fitri Maulidya Reva Aprianti Ma’rifah , Ma’rifah Yuliani Meilany, Latifah Hanum Minulya Eska Nugraha Mochamad Hariadi Mochammad Irfan Efendi Muhammad Thamrin Mursyidah4, Mursyidah Muzakir, Fohan N, Gardina Aulin Nafsiyah, Wardatun Nirmala Kartikasari, Yudita Norawati, Suarni Nur Annisa, Nenden Nur Said Nuraeni, Intan Sarifa Nurul Qomariah Nuryadi Nuryadi Ongko, Bagus Kustiono Pamungkas Putra Bagyana, Caesare PANJAITAN, MUKTAR B Paramitha, Octavia parjan, parjan Pradana, Dwifa Yuda Pradani, Dea Yulinestria Prakoso, Dadang Pramono, Didik Eko Probowulan, Diyah Putra Widhi Wardhana, Erwindhu Putra, Adimas Rachmania, Nindita Rachmaniyah, Aulia Rafly Eka Saputra, Muhammad Rahmawati, Maulidia Ramadhani, Iwan Ramadhani, Syifa Rangi, Noah Ratna Nur Tiara Shanty Reza Ega Resnanda Ristumanda, Siti Salbiah Riyadi, Anton RR. Ella Evrita Hestiandari Rusgianto S, Riang Agustin Sa'adah , Nur Saat Riyanto Salsabilah, Azka Samsul Hadi Sanorsa, Abadi Santi Wulandari, Dwi Sari , Mena Sari Indrayati, Fatma Sari, Denia Ratna Sari, Risa Riana Puspita Satyaguna, I Made Savitri, Nikke Indah Setiawan, Riski Bayu Siahaan, Sarah Agustin Sinclair, Amelia Slamet Kacung, Slamet Slamet Riyadi, Slamet Riyadi Soetjahyo, Soetjahyo Sofianto, Rendra Hadi Suci Nur Fatmawati Sujatmiko Sujatmiko Sukahir, Sukahir Sulistiowati Sulistiowati Susbiyani, Arik Suyamto Suyamto Suyanto Syahrul, Maulia Syamilah, Aliyatus Teguh Santosa Tengku Muhammad Ramdani Terra Saptina Maulani Tiara Shanty, Ratna Nur Tua S, Marolop Bungaran Uliyah, Dian Alfiyatul Umam, Azizul Warsito Sujatmiko, Achmad Wasi’ah, Ainin Lufaful Wati, Seftin Fitri Ana Wati, Wiwin Sri Niscahya Widiantoro, Edwin Wikaningrum, Anggit Wulandari, Erike Wulandari, Retno S. Yansa Sendi Fadillah Yeti Komalasari Zahrotul Janah Zainarthur, Henry Zangana, Hewa Majeed Zarkasi , Imam Zikrullah , Zikrullah Zubaidi, Nabila