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All Journal Syntax Jurnal Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Speed - Sentra Penelitian Engineering dan Edukasi International Journal of Advances in Intelligent Informatics JOIV : International Journal on Informatics Visualization Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab SISFOTENIKA Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING IJEBD (International Journal Of Entrepreneurship And Business Development) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) International Journal of Supply Chain Management Journal on Education Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH JUSIM (Jurnal Sistem Informasi Musirawas) JISICOM (Journal of Information System, Infomatics and Computing) Journal of Information System, Applied, Management, Accounting and Research Industrial Engineering Journal (IEJ) Jurnal Informasi dan Teknologi Vocatech : Vocational Education and Technology Journal JTIK (Jurnal Teknik Informatika Kaputama) Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) JINAV: Journal of Information and Visualization International Journal of Engineering, Science and Information Technology Cendikia : Media Jurnal Ilmiah Pendidikan Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Janitra Informatika dan Sistem Informasi Brilliance: Research of Artificial Intelligence TECHSI - Jurnal Teknik Informatika Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Pusaka : Journal of Tourism, Hospitality, Travel and Business Event Variasi : Majalah Ilmiah Universitas Almuslim Journal on Research and Review of Educational Innovation Sahabat Sosial: Jurnal Pengabdian Masyarakat Journal Of Artificial Intelligence And Software Engineering Bulletin of Engineering Science, Technology and Industry International Journal of Applied Management and Business Jurnal Info Kesehatan Journal of Industrial Engineering and Management Jurnal Informatika Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS) International Journal of Teaching and Learning (INJOTEL) Indonesian Journal of Education (INJOE)
Dahlan Abdullah
Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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Designing a Community Reporting System for Online Gambling Activities in Aceh Ardian, Zalfie; Abdullah, Dahlan; Yunizar, Zara; Tarigan, Tasya Amelia; Agil, Helvina
JINAV: Journal of Information and Visualization Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav4336

Abstract

The rapid proliferation of online gambling in Aceh, despite the formal implementation of Qanun Jinayah as the legal framework for Islamic law, has posed a significant challenge to law enforcement and community governance. One of the most pressing issues is the absence of a secure, anonymous, and accessible reporting mechanism for citizens to report online gambling activities. This study addresses that gap by developing and evaluating a web-based reporting system named SIPELRA (Sistem Pelaporan Rakyat Aceh/Aceh People’s Reporting System). Employing a Research and Development (R&D) approach, the research was conducted through four stages: needs analysis, system design, implementation, and testing. The system was built using the Laravel framework and MySQL database, with strong emphasis on responsive design and data security to ensure user anonymity. Needs analysis revealed that community members prioritize simplicity, anonymity, and reliability in reporting mechanisms. System design was modeled using UML tools, including use case and activity diagrams, while the interface was developed with a minimalistic and culturally contextual design. Testing consisted of blackbox testing to validate functionality and a user satisfaction survey administered to 30 respondents. Results indicated that all core features operated successfully without major errors, and user satisfaction achieved an average score of 4.5 (90%), with data security receiving the highest rating (92%). Case analysis in North Aceh demonstrated diverse gambling practices, including slot-based games and chip trading, with mobile devices as the dominant medium. The findings confirm that SIPELRA is both technically feasible and socially acceptable, offering a strategic innovation for enhancing community participation and strengthening the enforcement of Qanun Jinayah in Aceh
Food Security Optimization Forecasting Fertilizer Production With Method Weighted Moving Average (WMA) Rifkial Iqwal; Dahlan Abdullah; Nunsina
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

This research focuses on optimizing food security through the application of fertilizer production forecasting method at PT Pupuk Iskandar Muda (PIM) using Weighted Moving Average (WMA). Effective food security relies heavily on stable and adequate fertilizer availability, which in turn requires accurate production predictions to ensure efficiency. In this study, historical data of urea and ammonia fertilizer production from January 2019 to December 2023 is used to build a forecasting model that can provide an overview of future production trends. The WMA method was chosen due to its adaptive nature, where greater weight is given to the most recent data, allowing the model to be more responsive to changes and emerging trends. The results showed that for urea production, WMA produced a MAPE value of 1773.8% and MAD of 13,223.2, while for ammonia production, the MAPE was recorded at 3085.5% with MAD of 7,538.5. Total production showed a MAPE of 69.7% with a MAD of 20,568.9, indicating significant fluctuations in production during the period under study. Nevertheless, the WMA method still provides a fairly good prediction and can be used as a reference in future production planning. In addition, the results of this study also provide valuable insights into the production dynamics at PIM, which is critical in supporting the national food security strategy. This research recommends further exploration of other more advanced forecasting methods, such as ARIMA or machine learning techniques, to improve prediction accuracy and better anticipate changes in production patterns. Keywords: Food security, Weighted Moving Average, Fertilizer Production Forecasting, MAPE, MAD.
Application of the Naïve Bayes Method in Optimizing Marketing Performance at PT. Semen Indonesia Mahesa Reglisalo; Dahlan Abdullah; Yesy Afrillia
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

This study examines the application of the Naïve Bayes method to improve marketing performance at PT. Semen Indonesia. In an increasingly competitive business environment, effective data management is crucial for strategic decision-making. Currently, PT. Semen Indonesia utilizes the SAP system to manage sales and financial data, but it lacks an automated system to analyze marketing performance. This research aims to develop a Naïve Bayes-based classification system to monitor marketing performance, considering attributes such as profit, market share, sales volume, and customer satisfaction. The Naïve Bayes method was chosen for its accuracy in handling large-scale data and its ability to provide fast and efficient predictions. Marketing performance data is processed using this method to categorize marketing performance as “good” or “poor.” The analysis results show that the developed system achieves a classification accuracy of 43.75% for the “good” category and 56.25% for the “poor” category. This system assists management in designing more effective marketing strategies by leveraging historical data to predict trends and market needs. Keywords: Naïve Bayes, marketing performance, PT. Semen Indonesia, data analysis, classification system, profit, market share
Prediction of Trash in Aceh Province Using the Autoregressive Integrated Moving Average (ARIMA) Method Nefo Preyandre; Dahlan Abdullah; Said Anshari
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

The increase in trash production in Aceh Province presents challenges for trash management, particularly in planning adequate infrastructure. This study applies the Autoregressive Integrated Moving Average (ARIMA) model to predict trash volume in Aceh. The data utilized originates from the National Trash Management Information System (SIPSN) and the Central Bureau of Statistics (BPS) from 2020 to 2023. The prediction results indicate that ARIMA can capture the primary trends in trash volume but has limitations in accounting for seasonal fluctuations in certain trash categories. Accuracy evaluation using the Mean Absolute Percentage Error (MAPE) shows varying accuracy levels across trash types, with some categories requiring additional models to enhance accuracy. These findings are expected to support planning and policy for trash management in Aceh.
Pilgrimage and Cultural Heritage: Understanding Tourist Motivations at the Tomb and Sunan Drajat Museum at Lamongan East Java-Indonesia Nuruddin; Wirawan, Putu Eka; Susanti, Putu Herny; Nashihin; Wiarti, Luh Yusni; Abdullah, Dahlan
Pusaka : Journal of Tourism, Hospitality, Travel and Business Event Vol. 8 No. 1 (2026): Vol. 8 No. 1 (2026): February-July
Publisher : Politeknik Pariwisata Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33649/pusaka.v6i2.598

Abstract

Motivation is a key factor in tourists’ decision-making, including visits to historical sites related to the development of religion. This study aims to analyze the motivation of tourists visiting historical sites such as the tombs of saints and museums preserving their legacy. A qualitative method with a thematic and interpretive approach was used. Data were collected through interviews, field observations, and literature review. The findings reveal two main motivational perspectives: religious and cultural. Religious motivation includes the pursuit of blessings, spiritual merit, and inner peace, while cultural motivation involves interest in history, architecture, and cultural heritage. This study offers both theoretical and practical contributions to the development of tourism based on local and spiritual values. Its uniqueness lies in combining religious and cultural motivations in the context of visits to the Tomb and Museum of Sunan Drajat Lamongan—a site that has received little scholarly attention. Unlike previous studies that tend to separate the two aspects, this research integrates spiritual and historical dimensions to better understand tourist behavior.
Comparison of Logistic Regression and Random Forest Methods in Predicting Vehicle Tax Payment Compliance Khairul Fuadi; Taufiq Taufiq; Arnawan Hasibuan; Dahlan Abdullah; Nurdin Nurdin
Jurnal Informatika Vol. 13 No. 1 (2026): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v13i1.11944

Abstract

Motor vehicle tax is a major source of Regional Original Income (PAD). However, the level of motor vehicle tax payment compliance in North Aceh Regency is still suboptimal, particularly related to late payments. A data-driven approach is needed to predict and understand taxpayer compliance patterns more accurately. This study aims to compare the performance of the Logistic Regression and Random Forest methods in predicting motor vehicle tax payment compliance, as well as to identify factors that influence taxpayer compliance behavior at the North Aceh Samsat (Sat). This study uses secondary data in the form of motor vehicle tax payment transactions at the North Aceh Samsat for the 2022–2024 period, totaling 100,000 observations. The response variable is the tax payment compliance status (compliant and non-compliant), while the predictor variables include vehicle age, type of ownership, vehicle type, and vehicle brand. The data is divided into 70% training data and 30% testing data. The performance evaluation model is conducted using accuracy, precision, recall, and Area Under Curve (AUC) metrics. The analysis results show that Random Forest has better predictive performance than Logistic Regression, with higher accuracy and AUC values. Vehicle age and type of ownership are the most influential variables in predicting tax payment compliance, while vehicle brand has a relatively smaller influence. Logistic Regression provides a clear interpretation of the variable relationship, but has lower discrimination ability than Random Forest. Random Forest has proven to be more effective as a prediction model for motor vehicle tax payment compliance at the North Aceh Samsat. The application of machine learning-based predictive models has the potential to support more targeted policy making in an effort to improve motor vehicle tax payment compliance, especially in reducing late payments.
Prediction Of Unemployment Rate Using The Fuzzy Time Series Chen Model Method Annisa Karima; Dahlan Abdullah; Muchlis ABD Muthalib; Nurdin Nurdin; Muhammad Daud
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7310

Abstract

Unemployment is a significant socio-economic problem in Lhokseumawe City that requires serious attention from policymakers. The unemployment rate fluctuates from year to year, making accurate forecasting an important aspect in formulating effective strategies and policies to reduce unemployment. One method that can be used to analyze and forecast time series data with uncertainty is the Fuzzy Time Series (FTS) method, which applies fuzzy logic concepts to handle vague and imprecise data patterns. In this study, the Fuzzy Time Series method is applied to predict the number of unemployed people in Lhokseumawe City. The data used are historical unemployment data over a period of 10 years, from 2013 to 2022. The research process begins with defining the universe of discourse (U), determining the number and length of interval classes, defining fuzzy sets on U, and fuzzifying the unemployment data. Furthermore, Fuzzy Logical Relationships (FLR) are identified and grouped into Fuzzy Logical Relationship Groups (FLRG). The defuzzification process is then carried out to obtain crisp values, followed by forecasting calculations.The analysis was conducted using the RStudio application. The forecasting results show that the predicted number of unemployed people in 2023 is 10,514.125, which is rounded to 10,514 people. The accuracy of the forecasting model is evaluated using Mean Absolute Percentage Error (MAPE) and Average Forecasting Error Rate (AFER), both of which yield values of 6.70%. Since the MAPE and AFER values are less than 10%, the forecasting results can be categorized as very good and reliable for decision-making purposes.
ETHICAL DILEMMAS IN NEUROMARKETING: NAVIGATING PERSUASION, CONSUMER AUTONOMY, AND EMERGING TECHNOLOGIES Muhamad Stiadi; Luana Sasabone; Deisye Supit; Cut Ita Erliana; Dahlan Abdullah
International Journal Of Humanities, Social Sciences And Business (INJOSS) Vol. 3 No. 1 (2024): INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS)
Publisher : ADISAM Publisher

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Abstract

Neuromarketing is a rapidly growing field that uses neuroscience to understand consumer behavior and improve marketing effectiveness. This article explores the complex ethical implications of neuromarketing practices, especially regarding persuasive influence on consumer autonomy and the use of emerging technologies. First, we investigate advances in neurotechnology, such as fMRI, EEG, and brain-computer interfaces (BCIs), that enable a deeper understanding of consumer preferences. The challenge is enforcing this technology's ethical use and protecting individual privacy. Second, we discuss "neuro hacking," exploiting neurological vulnerabilities to influence consumer decisions. This raises ethical questions about mental safety and individual autonomy. Third, algorithms and artificial intelligence in Neuromarketing create highly personalized marketing experiences. This raises questions about how to protect privacy, obtain consent, and maintain individual agency. Fourth, we explore cultural issues in Neuromarketing, exploring how cultural values must be respected in marketing practices. Fifth, we discuss security and data protection issues in using neuromarketing technology. Sixth, we investigate the role of government and regulatory agencies in regulating neuromarketing practices and protecting consumer rights. Finally, we highlight the importance of education about neuroethics in educating marketers, researchers, and consumers about the ethical aspects of Neuromarketing. This article encourages critical reflection on the ethical dilemmas businesses, researchers, and policymakers face in the rapidly evolving world of Neuromarketing.
CULTIVATING SUSTAINABLE EMPLOYEE ENGAGEMENT AND WELL-BEING INITIATIVES IN INDONESIAN ORGANIZATIONS: A MULTIFACETED EXAMINATIONOF STRATEGIES, CHALLENGES, AND IMPACT ON ORGANIZATIONAL PERFORMANCE Kosasih Kosasih; Yuarini Wahyu Pertiwi; Cut Ita Erliana; Defi Irwansyah; Dahlan Abdullah
International Journal Of Humanities, Social Sciences And Business (INJOSS) Vol. 3 No. 1 (2024): INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS)
Publisher : ADISAM Publisher

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Abstract

We provide an overview of the research on cultivating sustainable employee engagement and well-being initiatives in Indonesian organizations. The study aimed to comprehensively examine the strategies employed, the challenges faced, and the impact of these initiatives on organizational performance in the Indonesian context. The research was rooted in a mixed-methods approach, combining qualitative and quantitative methods to understand the subject matter better. Data was collected from surveys, interviews, and organizational records. Stratified random sampling was employed for surveys, while purposive sampling was used for interviews, ensuring a diverse and representative dataset. Our analysis incorporated descriptive statistics and inferential statistical methods, such as regression analysis, for quantitative data. Qualitative data underwent thematic analysis, allowing for the identification of patterns and themes. Integrating both data types enabled triangulation and a more profound insight into the research questions. Ethical considerations were paramount throughout the research, with data treated confidentially and participant identities protected. Informed consent was obtained from all participants, and potential biases or conflicts of interest were transparently addressed. While the mixed- methods approach enriched our understanding, it did pose resource and time constraints. While valuable within the Indonesian context, the findings may not be universally applicable. Additionally, challenges related to data collection, such as participant availability and the completeness of organizational records, were acknowledged. This research contributes to the existing body of knowledge by offering insights into the strategies and impact of sustainable employee engagement and well-being initiatives in Indonesian organizations while shedding light on the challenges faced in implementing such programs.
EXPLORING THE INTEGRATION OF QUANTUM MACHINE LEARNING ALGORITHMS IN HIGHER EDUCATION TO ENHANCE CURRICULUM DEVELOPMENT ANDCYBERSECURITY PROGRAMS Muhammad Ihsan Dacholfany; Miswar; Cut Ita Erliana; Dahlan Abdullah; Indrawati
International Journal of Teaching and Learning Vol. 1 No. 1 (2023): International Journal of Teaching and Learning (INJOTEL)
Publisher : Adisam Publisher

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Abstract

This research delved into a dynamic landscape in exploring the integration of Quantum Machine Learning (QML) algorithms in higher education for curriculum development and cybersecurity programs. The study aimed to investigate the potential impact of QML on higher education and the security domain, addressing the evolving educational needs and the ever-pressing cybersecurity challenges. Through comprehensive analysis, this research unveiled the transformative capacity of QML technology and its implications for the academic and security sectors. Research findings disclosed significant gaps in current curricula and the need for a comprehensive approach to QML integration. Faculty and student perceptions illustrated the challenges and opportunities surrounding QML, with the former emphasizing the necessity for professional development and the latter expressing enthusiasm and the desire for more hands-on experiences. Insights from cybersecurity experts highlighted QML's potential in fortifying security measures, underlining the importance of collaboration between quantum computing and cybersecurity communities. This research contributes by providing a multifaceted understanding of QML integration in higher education and its ability to reshape learning and security paradigms. However, it acknowledges certain limitations, such as sample diversity and the evolving nature of quantum technology. Despite these limitations, this exploration lays the groundwork for future adaptations and advancements in education and cybersecurity in the quantum age
Co-Authors - Hartono . Zulfan Abdul Wahab Abdullah A. Z Abdurrozzaq Hasibuan Achmad Harristhana Mauldfi Sastraatmadja Aditia, Donny Adli Zain, Razlan Afisman, Heri Juni Afriza, Muhammad Ridho Agil, Helvina Agus Sukoco Akbar, Abdul Hanif Aktina Manik Al Kautsar Aidilof, Hafizh Al- Amin Al-Amin Alfiya Zahara Ali Nasith Alimul Haq, Nur Ambas, Jamin Amny Yasira Amrina Amrina Ananda Faridhatul Ulva Andik Bintoro ani, Muli Anisa Ratuliza Anni Zulfia Annisa Karima Anuar Bahri, Khairil Ar Razi Ari Andriyas Puji Arifah, Mutia Arifin, Arifin Arnawan Hasibuan Arwin Putra Aslam Aslam Aswita Indah Luthfiana Hasibuan Aulia Barus, M Farhan Ayu Anggreni, Made Cindy Rahayu Cut Agusniar Cut Ita Erliana Cut Yusra Novita Daniel Akhyar Darmawanta Sembiring Dedi Fariadi Defi Irwansyah Defi Irwansyah Defry Hamdhana Deisye Supit Deslana Roidja Hapsarini Devin Mahendika Dita Amelia Eko Prastyo Elviwani Elviwani Elviwani Elviwani Elviwani, Elviwani Emy Yunita Rahma Pratiwi, Emy Yunita Rahma ER. UMMI KALSUM Erianto Ongko Erlina Erlina Erlina Erlina Fachry Abda El Rahman Fadlisyah Fadlisyah Fadlisyah Fajriana, Fajriana Fakhruddin Ahmad Nasution Farida Juliarta, Evie Faridiansyah, Teuku Iqbal Fatur Rahman Maulana Fazil, M Fidyatun Nisa Fikri, Khusnul Firman Aziz Fitria Apriyulida Fuzna Febriani Gamar Al Haddar Gio, Prana Ugiana H. Hartono Habib Muharry Yusdartono Haedir, Haedir Halim, Paisal Hamdhana, Defry Hapsarini, Deslana Roidja Haris Danial Hartono Hartono Hartono, Natalia Rumanti Hasanun Hasibuan, Fadilah Suryani Hasibuan, Muammar Faturrahman Hendra Putranta Limbong Heri Juni Afisman Herry Rachmat Widjaja Hery Budiyanto HS, Nurmadina I Ketut Sutapa I MADE MULIARTA . I P G. Adiatmika I Putu Agus Dharma Hita Ika Rahayu Satyaninrum IKhwanda Putra, Al Malikul Imanullah, Imanullah Indah Sulistiani Indra Pilianti D Indra Tjahyadi Indrawati Irdanil Kamal, Irdanil Irianto, Sugeng Irma Oktari Irwansyah, Defi Iswan Riyadi Iswandi Iswandi Iswandi Iswandi Iylia Azlan, Rabiatul Juarni Siregar Judijanto, Loso Junaidi Salat Kartika Kartika Kartini Rahayu Khairul Fuadi Khairullah Yusuf Khoirul Islam Komang Ayu Krisna Dewi Kosasih Kosasih , Kosasih Kurniawansyah Kurniawansyah Kurniawati Kurniawati La Ode Muhammad Idrus Hamid Basri Lahap, Johanudin Laros Tuhuteru Latif, Sarifudin Andi Lestari, Nana Citrawati Lestari, Veronika Nugraheni Sri Lidya Rosnita Lisa Mulia Al Ikhlas Luana Sasabone Lubis, Fauzan Arbi Luh Yusni Wiarti M Farhan Aulia Barus M Fauzan M. KHAIRUL JIMLI ALFUADI Maharani Asnur, Sardian Mahesa Reglisalo Marganda Simarmata Marlina Sari Maryana Maryana Maryana Maryana, Maryana Masriadi Maulinda, Rerin Maya Savira Maya Widiyani Meilyana Meilyana Meutia Nadia Karunia Meutia Rahmi Mirna Dewi Misbahul Jannah Miswar Miswar Miswar Mochamad Gilang A Mubarok Mohammad, Wily Mohd Said, Noraslinda Mohd Syahrin Muchlis Abdul Muthalib Muhamad Stiadi Muhammad Chaizir Muhammad Daud Muhammad Fikry Muhammad Hanafi Sahar Lubis Muhammad Ichsan Muhammad Ihsan Dacholfany Muhammad Ikhsan Setiawan Muhammad Ikhsan Setiawan Muhammad Ikhwani Muhammad Ikhwanus Muhammad Iqbal Muhammad Khahfi Zuhanda Muhammad Khalis Muhammad Riansyah Muhammad Sayuti Muhammad Zarlis Muhammad Zarlis, Muhammad Muharam, Suhari muli ani Muna Kamilah Munirul Ula Muslem Muslem Muslem Muthmainnah Muthmainnah Muthmainnah Muthmainnah Mutia Arifah Muzaffar Rigayatsyah Muzaffar Rigayatsyah N. Nazaruddin Nadi, Muhammad Abi Berkah Nadya Raudathul Sofa Nanda Imanda Nashihin Nasution, Zainannur Nefo Preyandre Ni Ketut Dewi Irwanti Noviany, Henny Nunsina, Nunsina Nur Saufani Ulfa Nurdin Nurdin Nurhasanah Nursyamsi SY Nuruddin Nuruddin Oksfriani Jufri Sumampouw Pasaribu, Hafni Maya Sari Pertiwi, Anggun Pikri, Faizal Poetri AL-Viany Maqfirah Putu Eka Wirawan Rafi’i, Rafi’i Rahma Fitria, Rahma Rahmat, Rezqiqah Aulia Ramlan, Rifqi Ramli, Rahmat Rasna Razi, Ar Reskiawan, Bimas - Reza Pratama Rezzy Eko Caraka Riansyah, Muhammad Richki Hardi Rifkial Iqwal Rini Meiyanti Risawandi, Risawandi Rizka Salsabila Nasution Rizki Suwanda Rizki Wahyuri Rizky Putra Fhonna Rizwan Saputra Roslaini Roslaini S, Syarifuddin Sabriana, Riska Safwandi Safwandi Safwandi Safwandi, Safwandi Said Anshari Said Fadlan Anshari Salamah Salamah Samsul A Rahman Sidik Hasibuan Sandya, Deasy Saputra, Nanda Sasabone, Luana Satria Pati Alam Sayed Fachrurrazi Selamat Meliala Seno Lamsir Setiawan, Muhammad Ikhsan Silvia Nanda Sima, Yenny Simarmata, Marganda Sitti Nur Alam Subhan, Roni Sulistyandari, Sulistyandari Surnihayati Surnihayati Susanti, Putu Herny Sutarna, Agus Syamsiah Badruddin Syarifuddin Syarifuddin Tahulending, Anneke A Tarigan, Tasya Amelia Taufik Habib Ansyari Taufiq Taufiq Teuku Mudi Hafli Touwe, Yohana S Touwe, Yohana S. Tri Suryowidiyanti Ultra Prayogi Ulumul Haq, Bahrul Utomo, Muhammad Fikri Veronika Nugraheni Sri Lestari Victor E. D Palapessy Wa Ode Riniati Wahyu Pertiwi, Yuarini Wan Amalia Chaliza Nur wandi, risa Wawan Syahputra Wenny J, Syilvia Widiyani, Maya Yeni Risyani Yesy Afrillia Yuarini Wahyu Pertiwi Yuliah, Yuliah Yulisda, Desvina Yuniningsih Yuniningsih Yusra, Muhammad Zafera Adam, Jeanne d'Arc Zahratul Fitri Zainannur Nasution Zalfie Ardian Zara Yunizar Zega, Subhansah Zulfahmi Zulfahmi