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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 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 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 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 Aplikasi Pelayaran dan Kepelabuhanan Jurnal Sistem Informasi Universitas Dinamika Jurnal Kesehatan dan Olahraga Pharmacy Reports Jurnal Informatika Teknologi dan Sains (Jinteks) Procedia of Social Sciences and Humanities Jurnal Abdimas Musi Charitas MASALIQ: Jurnal Pendidikan dan Sains Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi 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 Sirajuddin: Jurnal Penelitian dan Kajian Pendidikan Islam Proceeding of International Conference on Cultures & Languages
DWI CAHYONO
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Pengaruh Motivasi Kerja Dan Kepuasan Kerja Terhadap Kinerja Guru Dengan Kompetensi Kerja Sebagai Variabel Intervening Pada Guru Madrasah Aliyah Swasta Terakreditasi A Di Kabupaten Lumajang Zarkasi , Imam; Rusgianto; Cahyono, Dwi
SIRAJUDDIN : Jurnal Penelitian dan Kajian Pendidikan Islam Vol 1 No 1 (2021): Sirajuddin Desember 2021
Publisher : P3M STAI MIFTAHUL ULUM LUMAJANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55120/sirajuddin.v1i1.417

Abstract

Penelitian bertujuan untuk mengetahui pengaruh motivasi kerja dan kepuasan kerja terhadap kinerja dimediasi kompetensi kerja, baik secara langsung maupun tidak langsung. Hasil penelitian akan berkontribusi positif terhadap pengelolaan dan pengembangan sumber daya manusia untuk meningkatkan kinerja guru di Madrasah Aliyah Terkakreditasi A Se-Kabupaten Lumajang. Dalam penelitian ini menggunakan metode penelitian deskriptif dan kuantitatif. Populasi dalam penelitian ini adalah seluruh guru tersertifikasi Madrasah Aliyah (MA) Swasta Terkareditasi A se-Kabupaten Lumajang. Jumlah sampel dalam penelitian ini adal 101 orang guru yang diambil menggunakan teknik purposive sampling. Teknik analisis yang digunakan adalah menggunakan Struktural Equation Model (SEM) dengan menggunakan aplikasi Warp PLS 7.0. Hasil analisis dari penelitian ini menunjukkan bahwa (1) semakin kuat motivasi kerja maka kinerja guru juga semakin tinggi; (2) semakin tinggi kepuasan kerja maka kinerja guru juga semakin tinggi; (3) semakin tinggi motivasi kerja maka kompetensi guru juga semakin kuat; (4) semakin tinggi kepuasan kerja maka kompetensi guru juga semakin tinggi; (5) semakin kuat kompetensi kerja maka kinerja guru juga semakin tinggi; (6) kompetensi kerja mampu menjadi variabel intervening dalam mempengaruhi kinerja guru dari pengaruh variabel motivasi kerja; (7) kompetensi kerja mampu menjadi variabel intervening dalam mempengaruhi kinerja guru dari pengaruh variabel kepuasan kerja.
Decision Support System For Scholarship Candidate Selection Lailatul Qodriyah, Emilyati; Dwi Cahyono; Ratna Nur Tiara Shanty
Jurnal Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2025): Desember 2025
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/fkv4qq28

Abstract

System used by the university. Soetomo surabaya for the selection of prospective students who are eligible to receive a scholarship is still using the manual way. Given the enormous number of submissions by scholarship recipients will make it difficult for universities in selecting students who are eligible to receive scholarships. Therefore it is necessary that there is a system that can be used as supporting decision-making to determine the students who are eligible to get a scholarship at the University Dr Soetomo Surabaya in order to facilitate the University. The problem that occurs is the absence of a system used for the selection process of scholarship recipients at Dr. University. Soetomo Surabaya. This selection is done using Analytical Hierarcy Process (AHP) method, it will simplify the way the system to perform the selection, the work concept of Analytical Hierarcy Process (AHP) is able to determine the best alternative choice in determining a goal. Analytical Hierarcy Process (AHP) will determine the right student to get a scholarship viewed from several attributes that exist. With this decision support system, it will facilitate the University's work to determine the students who are eligible for a scholarship in terms of some existing attributes. The result of this decision support system is the obtaining of scholarship recommendation data in the form of value with percent form where this value which will be the management consideration to determine the scholarship recipient.
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.
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.
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.
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.
Sentiment Analysis on the FIFA U-20 World Cup in Argentina Using Support Vector Machine Warsito Sujatmiko, Achmad; Vitianingsih, Anik Vega; Kacung, Slamet; Cahyono, Dwi; Lidya Maukar, Anastasia
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3973

Abstract

The decision made by FIFA regarding the selection of the soundtrack and the host country for the FIFA U-20 World Cup has sparked emotional reactions among the public and raised concerns about the event, especially on social media platform X. This is due to FIFA’s decision to choose a soundtrack not from the host country, Argentina, but from the previous host, Indonesia. FIFA should advocate for the creation of a soundtrack by the host country to reflect its distinctive characteristics or atmosphere. Concerns about the U-20 World Cup in Argentina have also been fueled by the country’s economic crisis, which is feared to affect the facilities and infrastructure for the young players representing their nations. This research focuses on filtering public responses to FIFA’s decisions regarding the soundtrack selection and the host country for the U-20 World Cup into positive, neutral, and negative categories using the Support Vector Machine (SVM) method. The research aims to provide policy recommendations regarding the host selection process and cultural representation in international sports events. Additionally, this study is expected to provide a deeper understanding of the preferences and values held by the public regarding international sports. The research steps include data collection, pre-processing, labeling, weighting, and classification using a Support Vector Machine. The data for this research were obtained through crawling on social media platform X, totaling 2400 data points. The performance evaluation of the SVM algorithm using a 50:50 ratio of training and testing data yielded an average accuracy of 85.71%, Precision of 85.98%, Recall of 85.71%, and F1-score of 85.58%.
Co-Authors A.A. Ketut Agung Cahyawan W Abadi Sanosra Abdullah, Anton Achmad Choiron Achmad Choiron Ade Susianti, Febrina Afroh, Ibna Kamilia Fiel Ahmad, Haidar Alif Putra Gunawan, Maulana Alkaromi, Muhammad Amri Alwiyah Alwiyah Amalia, Direstu Amarya, Grace Ezranda Anastasia Lidya Maukar Andhina Ika Sunardi ANGGI FIRMANSYAH Anggit Wikanningrum Anik Vega Vitianingsih Anik Vega Vitianingsih Ari Wulanjati, Herlina Arief Rahman Hakim Arif Budianto Aspirandi, Rendy Mirwan Astutik, Rika Aswadi Jaya, Aswadi Ayun Maduwinarti Ayun Maduwinarti Ayuningtyas Palupi, Risqi Ekanti Azzahra, Morra Fatya Gisna Nourielda Bambang Bagus Harianto Budi Santoso Budiyono Budiyono Bungsu, Agung Pangeran Chrissanti, Agnes Maria Cilvi Chua Toh Hua Cristino Gusmao Damanik, Alaris Darasito Dananjaya, Gabriel Diah Probowulan Dian Deliana Dian Kusuma Wardani 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 Julianto Lemantara Juliardin, Muhammad Alief Kamil, Ibrahim Khairunnisa, Firstia Nurlaili Khamil, Abdul Khaulia, Ayu Tinis Khifdi, M. Yurisul Kusumaningrum Kusumaningrum Lailatul Qodriyah, Emilyati Lambang Trijono Lidya Maukar, Anastasia Litafira Syahadiyanti 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 Ma’rifah , Ma’rifah Yuliani Minulya Eska Nugraha Mochamad Hariadi Mochammad Irfan Efendi Muhammad Thamrin Mursyidah4, Mursyidah Muzakir, Fohan N, Gardina Aulin Nafsiyah, Wardatun Nirmala Kartikasari, Yudita Nur Annisa, Nenden Nur Said Nuraeni, Intan Sarifa Nurul Qomariah Nuryadi Nuryadi Ongko, Bagus Kustiono Pamungkas Putra Bagyana, Caesare Paramitha, Octavia Pradana, Dwifa Yuda Pradani, Dea Yulinestria Prakoso, Dadang Pramono, Didik Eko Probowulan, Diyah Putra Widhi Wardhana, Erwindhu Rachmania, Nindita Rachmaniyah, Aulia Rafly Eka Saputra, Muhammad Rahmawati, Maulidia Rangi, Noah Ratna Nur Tiara Shanty Riyadi, Anton RR. Ella Evrita Hestiandari Rusgianto S, Riang Agustin Sa'adah , Nur Saat Riyanto Samsul Hadi Sanorsa, Abadi Santi Wulandari, Dwi Sari , Mena Sari Indrayati, Fatma Sari, Denia Ratna Satyaguna, I Made Savitri, Nikke Indah Sinclair, Amelia Slamet Kacung, Slamet Slamet Riyadi, Slamet Riyadi Soetjahyo, Soetjahyo Sofianto, Rendra Hadi Suci Nur Fatmawati Sujatmiko Sujatmiko Sulistiowati Sulistiowati Susbiyani, Arik Suyamto Suyamto Suyanto Syahrul, Maulia Syamilah, Aliyatus Teguh Santosa Tengku Muhammad Ramdani 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 Zahrotul Janah Zainarthur, Henry Zarkasi , Imam Zikrullah , Zikrullah Zubaidi, Nabila