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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 ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Ekonomi Jurnal Aplikasi Pelayaran dan Kepelabuhanan 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 Multidisciplinary Indonesian Center Journal 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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Android-based Nahdlatut Turots Manuscript Application Mochammad Irfan Efendi; Dwi Cahyono
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 7 No 2 (2024): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v7i2.7107

Abstract

The digitization of Turots manuscripts by Nahdlatut Turots is an important step in preserving Islamic intellectual heritage, which is vulnerable to deterioration. Turots refers to the works of scholars in fields such as fiqh, tauhid, tasawuf, and Arabic language, often written in Arabic script or Pegon. This research aims to develop an Android-based application to facilitate the digital preservation and management of kitab Turots. The application is designed to improve access to classical books and create opportunities for further research. Through this application, it is expected that the preservation of kitab Turots will be enhanced, accessibility will be increased, and the digital conservation of Nusantara scholars' intellectual heritage will be supported. The system is developed using the System Development Life Cycle (SDLC) with the Rapid Application Development (RAD) model to accelerate the development process while ensuring system quality. The Technology Acceptance Model (TAM) is used to evaluate user acceptance, measuring perceived usefulness, ease of use, and behavioral intention to use. Additionally, Google Cloud computing services are integrated to enhance storage, security, and scalability, ensuring seamless access to digital manuscripts. The system is tested using the black-box testing method to verify functionality.
Analisis Strategi Komunikasi Digital Pengelolaan Eko-Tourism Berkelanjutan dalam Konservasi Keanekaragaman Hayati dan Pemberdayaan Masyarakat Lokal di Kampung Orchid Kemuning Deliana, Dian; Sujatmiko, Sujatmiko; Purbosaputro, Erwin; Suyamto, Suyamto; Cahyono, Dwi; Fatmawati, Suci Nur
MASALIQ Vol 6 No 1 (2026): JANUARI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i1.8334

Abstract

The transformation of destination management in Kampung Orchid Kemuning is grounded in the need to create synergy between digital marketing, community governance, and conservation education so that social, economic, and ecological sustainability can be achieved simultaneously. This study aimed to analyze effective digital communication strategies in the management of community-based ecotourism, particularly in relation to strengthening digital literacy, improving content quality, developing organizational structures, designing tourism products, and examining their impact on conservation and local economic empowerment. A mixed-methods approach was employed by combining field observation, pretest and posttest of digital literacy, in-depth interviews with managers and residents, and documentation analysis of training activities. The findings show a significant increase in understanding of digital marketing concepts, improved ability to produce visual content, and greater consistency in managing the destination’s social media. The development of five thematic tour packages resulted in tourism products that are more marketable and relevant for diverse visitor segments, while simultaneously strengthening organizational structures, enhancing service responsiveness, and fostering a culture of continuous capacity building at the community level. In addition, the study identified positive socio-economic impacts, including increased community participation in the tourism value chain and higher self-efficacy in digital content production that supports conservation efforts and local empowerment. These findings confirm that integrating digital communication with tourism product management is an effective strategy for strengthening the sustainability of community-based ecotourism.
Emotion-Based Multi-Class Sentiment Analysis Of FirstMedia Customers Reviews Using SVM With Kernel Comparison Ongko, Bagus Kustiono; Vitianingsih, Anik Vega; Cahyono, Dwi; Lidya Maukar, Anastasia; Fitri Ana Wati, Seftin
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15644

Abstract

The advancement of digital technology has made users increasingly reliant on online services, with user reviews serving as an essential resource for evaluating the quality of service provided by companies such as FirstMedia. However, these valuable data have not undergone comprehensive analysis to assess users’ emotional responses. This study aims to classify FirstMedia customers’ emotions into four categories (joy, sadness, anger, and neutral) and to evaluate the Support Vector Machine (SVM) method using four different kernel functions. Most existing studies primarily focus on polarity-based sentiment analysis and do not explicitly examine multi-emotion classification or kernel comparison in machine learning models. A total of 4,001 reviews were collected through web scraping from the Google Play Store and the X app and processed through several preprocessing steps. Emotion classification was conducted using the NRC Indonesian Emotion Lexicon, while word significance was determined using TF-IDF weighting. After preprocessing, 3,069 labeled reviews were retained and distributed as 1,065 neutral, 748 anger, 692 joy, and 564 sadness reviews, which were used for emotion classification. Model performance was evaluated using a hold-out validation scheme with an 80:20 train-test split and assessed through a confusion matrix. To address class imbalance, undersampling was applied, resulting in a balanced dataset for model training. The evaluation results show that the Linear kernel achieved the highest performance, with an accuracy of 82.63%, precision of 82.86%, recall of 82.63%, and an F1-score of 82.60%, outperforming the Gaussian, Polynomial, and Sigmoid kernels. This study demonstrates that multi-emotion sentiment analysis provides a more comprehensive understanding of user perceptions beyond conventional sentiment polarity, thereby supporting more informed evaluations of digital service quality.  
Figurative Language in Female Islamic Preaching: A Case Study of Ustadzah Mumpuni Handayekti Wati, Dyah Rohma; Cahyono, Dwi; Hanik, Asmah
Lexeme : Journal of Linguistics and Applied Linguistics Vol. 8 No. 1 (2026): JANUARY 2026
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/ljlal.v8i1.51337

Abstract

A Preacher has duty to convey the preaching to congregation. In order to make the preaching understood and accepted, a preacher need strategy to convey the preaching, one of them is using figurative language. This study aims to examine figurative language in Islamic preaching of Ustazah Mumpuni Handayayekti (UMH), explain the purposes of figurative language used in the preaching, and show the dominant of figurative language used in UMH’s preaching. This study used a qualitative approach. The data in this study were resourced from utterances of Ustazah UMH in two preaching videos broadcast on the You tube channel. The data were collected by means of listening method. Its basic technique is tapping, while its advanced ones are free engagement speaking technique (SBLC) and note-taking technique and analyzed by using interactive model by Miles, Huberman, dan Saldana which includes data collection, data condensation, data display, and conclusion, drawing/ verification. The result show that in Ustazah MH’s preaching, there are six figurative languages used in MH’s preaching, they are synecdoche, simile, personification, metonymy, irony, and metaphor that the most dominant type of figurative language was simile with the percentage of 27%. The purposes of figurative language used in MH’s preaching are emphasizing a statement, expressing humor to freshen up the atmosphere, expressing praise, and expressing sarcasm with subtle language.
TRANSFORMASI PENDIDIK DAN POLA BELAJAR PESERTA DIDIK DALAM PEMBELAJARAN GAMIFIKASI: IMPLEMENTASI WAYGROUND SEBAGAI PLATFORM MOBILE LEARNING INTERAKTIF Ayuningtyas Palup, Risqi Ekanti; Cahyono, Dwi
EDUPEDIA Vol. 9 No. 2 (2025): October
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/ed.v9i2.3558

Abstract

Penelitian ini bertujuan mendeskripsikan secara mendalam bagaimana Wayground sebagai platform gamified mobile learning dimanfaatkan dalam pembelajaran bahasa Inggris oleh mahasiswa tahun pertama Politeknik Akbara, dengan fokus pada peran dosen, bentuk penugasan, dan pola pemanfaatan oleh mahasiswa. Pendekatan yang digunakan adalah kualitatif deskriptif dengan mengacu pada teori gamifikasi serta mobile learning untuk menganalisis integrasi pengetahuan teknologi, pedagogi, dan konten dalam praktik pembelajaran. Hasil penelitian menunjukkan bahwa dosen berperan sebagai perancang pembelajaran (learning designer) yang tidak hanya mentransformasi soal ke format digital, tetapi juga mengorkestrasi alur tugas, memberikan umpan balik, serta memanfaatkan data hasil Wayground untuk diagnosis kesulitan dan diferensiasi pembelajaran. Mahasiswa memanfaatkan Wayground dalam berbagai jenis penugasan, meliputi asesmen formatif cepat, tugas rumah mandiri, tugas remedial dan pengayaan, serta aktivitas kolaboratif seperti penyusunan kuis oleh kelompok. Didukung dengan penelitian terdahulu yang memperlihatkan pola pemanfaatan yang ditandai oleh peningkatan keterlibatan, motivasi, dan regulasi diri, baik dalam mode sinkron di kelas maupun asinkron di luar kelas, serta munculnya interaksi sosial dan kolaborasi informal antarmahasiswa melalui diskusi strategi dan berbagi kuis. Secara teoretis, penelitian ini menguatkan teori gamifikasi dalam konteks pembelajaran bahasa Inggris berbasis mobile learning, serta menunjukkan bahwa efektivitas Wayground sangat ditentukan oleh kualitas desain instruksional dan peran aktif dosen dalam mengelola pengalaman belajar digital mahasiswa. Kata Kunci: Wayground, gamified mobile learning.
AI Agent Based Service Innovation to Enhance Efficiency and User Experience Cahyono, Dwi; Atmaja, Hanung Eka; Zainarthur, Henry
Technomedia Journal Vol 10 No 3 (2026): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v10i3.2585

Abstract

The innovation of services based on Artificial Intelligence (AI) Agent has become a key strategy in improving operational efficiency, service quality, and user experience across various digital business sectors. AI Agent, utilizing natural language processing, machine learning, and realtime data analysis, can automate service processes that previously required manual interaction, such as customer responses, recommendations, and processing complex information. This study aims to analyze how the application of AI Agent can accelerate service responses, improve information accuracy, and create more personalized interactions for users. The research method used is a literature review from reputable journals, academic books, and industry reports, which are then analyzed descriptively to identify the adoption patterns of AI Agent across various digital platforms such as e-commerce, financial services, education, and creative industries. The results of the literature synthesis show that AI Agent can reduce operational workload by up to 40%, accelerate service response time by up to 60%, and enhance user satisfaction through adaptive interactions tailored to individual preferences and behaviors. Additionally, the implementation of AI Agent also proves to improve service consistency, expand operational scalability, and reduce the risk of human error in service processes. These findings emphasize that the integration of AI Agent not only enhances the efficiency and effective- ness of digital business processes but also plays a key role in creating strategic innovation, strengthening competitiveness, and building a more responsive and valuable service experience for users in the digital era.
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.
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 Ahmad, Haidar Alif Putra Gunawan, Maulana 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 Arthur Simanjuntak 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 Bungsu, Agung Pangeran Chrissanti, Agnes Maria Cilvi Chua Toh Hua Citra Dwi Ristantri Cristino Gusmao Damanik, Alaris Darasito Dananjaya, Gabriel Deliana, Dian Diah Probowulan Dian Kusuma Wardani Dianitami, Fitri Dicha Kusuma Priambudi, Prisca Dinarso, Rahmat Cahyo Dwi Prasetyo, Septian Dwi Ristantri, Citra Dwi Riyono, Ady Fajar Dyah Rohma Wati Eko Budi Santoso Eko Budi Satoto Erika Erika Erinaldi Evi Lestari Evi, Evi Lestari Fahrudin, Rifqi Fatika Nur Rokhimah Fatmawati, Indra Fatmawati, Suci Nur Fawaidul Badri Fiel Afroh, Ibna Kamelia 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 Kacung Hariyono 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 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 Mohamad Agus Salim Muhammad Thamrin Mursyidah4, Mursyidah Muzakir, Fohan N, Gardina Aulin Nafsiyah, Wardatun Nirmala Kartikasari, Yudita Norawati, Suarni Nur Annisa, Nenden Nur Said Nuraeni, Intan Sarifa Nursaid 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 Purbosaputro, Erwin Putra Widhi Wardhana, Erwindhu Putra, Adimas Putri, Indri Mariska 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 Rizaldi, Choireza 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 Savitri, Nikke Indah Setiawan, Riski Bayu Siahaan, Sarah Agustin Sinclair, Amelia Siti Juariyah Situmorang, Marolop Bungaran Tua Slamet Riyadi, Slamet Riyadi Soetjahyo, Soetjahyo Sofianto, Rendra Hadi Suhada Suhada, Suhada Sujatmiko Sujatmiko Sukahir, Sukahir Sulistiowati Sulistiowati Susbiyani, Arik Suyamto Suyamto Suyanto Syahrani Arasid, Nova 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