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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 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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Design of Electric Wheelchair Using Pulse Width Modulation (PWM) Method Fidyatun Nisa; Dahlan Abdullah; Daniel Akhyar
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.638

Abstract

An electric wheelchair is an essential mobility device for individuals with physical disabilities. Unlike traditional manual wheelchairs, which can be challenging for users to operate independently, an innovative PWM (Pulse Width Modulation) based electric wheelchair has been developed and tested. This wheelchair employs an Arduino Uno microcontroller, ultrasonic sensors, joystick input, and motor drivers to control speed and direction effectively. The system utilizes PWM to adjust the motor speed in proportion to the joystick input. Testing demonstrated that the wheelchair's motor responds efficiently to changes in PWM values. Additionally, the system successfully stops the motor when obstacles are detected within 80 centimeters. The ultrasonic sensors demonstrated an impressive measurement accuracy, with an average error of only 1%. Moreover, increasing the PWM values resulted in faster wheelchair speeds, showcasing the system’s ability for responsive speed control. This design provides an affordable and effective solution to improve mobility for users with disabilities.
Classification of Tourist Attractions in Central Aceh District using the C4.5 Decision Tree Algorithm Amny Yasira; Dahlan Abdullah; Cut Agusniar
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.715

Abstract

Central Aceh Regency is a region with rapidly growing tourism potential, characterized by lakes, mountains, and cultural sites typical of the Gayo people. Although the available tourist attractions are quite diverse, the presentation of unstructured information often makes it difficult for tourists to determine destinations that suit their needs and preferences. To address this problem, this study implemented the C4.5 decision tree algorithm to classify tourist attractions in Central Aceh Regency. The study used five main attributes: type of tourism, accessibility, facilities, ticket prices, and the Number of annual visitors. Data were obtained through field observations, interviews, and online reviews, with a total of 54 tourist attractions being sampled. The analysis process began with data preprocessing, entropy calculations, and information gain and gain ratio to construct a decision tree. The modelling results showed that the accessibility attribute produced the highest gain ratio and became the root node in the tree. Furthermore, the Number of visitors attributed became the dominant factor in the next branch, consistently distinguishing the classes. The classification system resulted in three recommendation categories: Highly Recommended, Recommended, and Not Recommended. Model evaluation using a confusion matrix showed 92% accuracy, 90% precision, and 90% recall, indicating that the C4.5 algorithm is effective at grouping tourist attractions based on their characteristics. This research contributes to a data-driven model that can help tourists obtain more systematic information, while also supporting local governments and tourism stakeholders in developing more targeted destination development strategies.
Public Sentiment Analisys on the Phenomenom of Body Shaming on Social Media X Using the Extreme Gradient Boosting Algorithm Nadya Raudathul Sofa; Dahlan Abdullah; Maryana Maryana
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1818

Abstract

The phenomenon of body shaming on social media platform X (Twitter) has become increasingly widespread and has caused various psychological impacts on its victims. The high level of social media activity has made the spread of negative comments related to body shape more difficult to control. Therefore, a system capable of automatically performing sentiment analysis is needed to identify public opinions regarding this phenomenon. This study aims to implement the Extreme Gradient Boosting (XGBoost) algorithm in classifying public sentiment toward the body shaming phenomenon on social media X and to determine the sentiment analysis results obtained. The research data were collected using a web scraping technique through Tweet Harvest, resulting in 1,383 Indonesian-language tweets which were manually classified into three sentiment classes: positive, negative, and neutral. The text preprocessing stage included case folding, cleansing, tokenizing, normalization, and filtering without applying stemming, as it was proven to reduce model performance on social media text data. Feature weighting was carried out using the TF-IDF method, while the data were divided using an 80:20 ratio with the implementation of Random Over Sampling (ROS) to address class imbalance. The XGBoost model was built using parameters of n_estimators = 300, learning_rate = 0.05, and max_depth = 5. The evaluation results using a confusion matrix showed an accuracy value of 80.87%, with F1-scores of 0.85 for the negative class, 0.71 for the neutral class, and 0.81 for the positive class. The results indicate that the XGBoost algorithm is capable of classifying public sentiment toward the body shaming phenomenon with fairly good performance. In addition, a web-based sentiment analysis system was successfully implemented to facilitate the automatic and structured sentiment classification process.
Firewall Analytics in DNS and SYN Flood Protection on Mikrotik CCR in the North Aceh District Government Nanda Imanda; Dahlan Abdullah; Fajriana Fajriana; Nurdin Nurdin; Munirul Ula
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1791

Abstract

This study investigates the implementation of an analytical firewall on the Mikrotik Cloud Core Router (CCR) device for network protection against Domain Name System (DNS) and Synchronise Flood (SYN Flood attacks in the information technology infrastructure of the North Aceh Regency Government. DNS-based attacks and SYN Flood have demonstrated a significant disruptive capacity for the continuity of electronic public services, illustrating the urgency of robust security protocols on government infrastructure. The study implemented a quantitative-experimental approach, with methodological triangulation in empirical data acquisition through controlled attack simulations, firewall log analysis, and semi-structured interviews with technical personnel. Experiments are designed with variations in attack intensity to evaluate system resilience thresholds, while firewall log analysis facilitates the identification of anomalous patterns through detection algorithms. The analytics process applies parametric evaluation to temporal mitigation metrics, packet processing capacity, and operational implications on network performance, complemented by descriptive statistical analysis that explores data distribution and temporal trends. The results indicate the differential effectiveness of the specific firewall configuration against a specific attack typology, with an empirical determination of optimisation parameters for real-time mitigation. This research contributes to the corpus of knowledge regarding the security of government networks through the derivation of protective models that are adaptive to the operational characteristics of public infrastructure. The findings have substantive implications for cybersecurity policy formulation in the administrative context of local governments, with extensive significance for the implementation of network architectures that are resilient to volumetric attacks and protocol exploitation.
A-Star and SMART Methods for Islamic Boarding School Recommendations in North Aceh and Lhokseumawe Fuzna Febriani; Dahlan Abdullah; Rini Meiyanti
Journal of Artificial Intelligence and Software Engineering Vol 6, No 2 (2026): Juni (OnProgress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i2.8928

Abstract

Advances in information technology have increased the public’s need for systems capable of providing information quickly and easily, including in searching for Islamic boarding schools. This study developed a web-based Geographic Information System (GIS) to recommend Islamic boarding schools in North Aceh and Lhokseumawe using the Simple Multi-Attribute Rating Technique (SMART) method and the A-Star algorithm. The SMART method determines rankings based on four criteria: location, accreditation, number of students, and type of boarding school through weighting, min-max normalization, and utility calculation. A-Star is applied to find the shortest route using the Haversine formula. The dataset consists of 361 verified boarding schools from the Dayah Education Office. Black box testing confirms all system functions are valid. Results show Dayah Darul Yaqin achieved the highest SMART score of 81.44 with a distance of 0.3 km, followed by Imam Syafi’i with 80.66 and 0.88 km, demonstrating that the SMART-A-Star integration produces objective and efficient recommendations.
PREDIKSI PRODUKSI MINYAK MENTAH KELAPA SAWIT PT. BAKRIE PASAMAN PLANTATION MENGGUNAKAN METODE EXTREME LEARNING MACHINE (STUDI KASUS: DATA 2023-2024, SUMATERA BARAT) Reza Pratama; Dahlan Abdullah; Zara Yunizar
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6456

Abstract

The production of crude palm oil (CPO) in Indonesia experiences fluctuations influenced by various factors such as rainfall, number of rainy days, and the quantity of fresh fruit bunches (FFB). This study aims to develop a predictive model for estimating crude palm oil production using the Extreme Learning Machine (ELM) method, applied to production data from PT. Bakrie Pasaman Plantations in West Sumatra. ELM was chosen due to its fast learning capability and high accuracy in non-linear regression tasks. The study utilizes historical production data from the past two years. The research process involves data normalization, model training, testing, and performance evaluation using the Mean Absolute Percentage Error (MAPE). The results show that the developed model achieves a good level of accuracy with a MAPE value of 12.07%, which is considered reliable. The predictive model is also implemented as a web-based application that displays forecast results and comparative graphs between actual and predicted data. It is expected that this system can support more effective and efficient production planning.
PENERAPAN ALGORITMA RANDOM FOREST UNTUK MENENTUKAN KELAYAKAN PENERIMA BLT: IMPLEMENTATION OF THE RANDOM FOREST ALGORITHM FOR DETERMINING BLT RECIPIENTS' ELIGIBILITY Muhammad Iqbal; Dahlan Abdullah; Yesy Afrillia
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6503

Abstract

Indonesia faces significant challenges regarding poverty, particularly among low-income communities. The government has introduced various programs, including the Direct Cash Aid Program (BLT), to alleviate poverty. However, identifying eligible recipients in Bandar Dua Subdistrict, Pidie Jaya, remains complex and time-consuming. This research aims to implement the Random Forest algorithm to determine the eligibility of cash aid recipients in Bandar Dua, Pidie Jaya, providing accurate and efficient classification based on predefined criteria. The study focuses on BLT recipients in Bandar Dua, comprising 45 villages, using data from 2020 to 2022. The Random Forest algorithm is applied, considering criteria such as income, housing conditions, and the number of dependents. The expected outcomes include valuable insights for the local government in determining the eligibility of cash aid recipients, a classified dataset using the Random Forest algorithm, and a reference for future research. According to the test results using the Random Forest algorithm, an accuracy of 83.33%, precision of 89.04%, and recall of 91.55% were achieved.  
IMPLEMENTASI SISTEM MONITORING DAN MENENTUKAN UKM TERBAIK MENGGUNAKAN METODE TOPSIS: IMPLEMENTATION OF A MONITORING SYSTEM AND DETERMINING THE BEST UKM USING THE TOPSIS METHOD Rizka Salsabila Nasution; Dahlan Abdullah; Ar Razi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6512

Abstract

Student Activity Units (SAUs) play a crucial role in developing students' potential, enhancing soft skills, and fostering a healthy competitive environment on campus. However, the performance monitoring system for SAUs at some universities is still conducted manually, which is time-consuming, labor-intensive, and prone to data inaccuracies. This study aims to design and implement a web-based UKM performance monitoring information system using the TOPSIS method as a decision-support tool for identifying the best UKMs. The research was conducted through the following stages: needs analysis, system design using the waterfall method, development, and system testing. The system is equipped with features for inputting activity data, evaluating criteria such as member activity, number of achievements, and annual activities, as well as TOPSIS calculations to obtain an objective ranking of student organizations. The implementation results show that the system functions well, facilitating administrators and campus authorities in monitoring and evaluating the performance of each student organization in real-time. Black-box testing indicates that all features function as expected. The final ranking based on TOPSIS calculations placed the Mahadasa Batalyon VII Satria Pasee Student Regiment (MENWA) as the best student organization with the highest preference score of 0.6841, followed by the Pramuka Racana Meurah Giri Ratu Nur Ilah with a score of 0.6254, and the Bidikmisi/KIP Kuliah Student Forum (Formadiksi) with a score of 0.6248. This system is expected to enhance transparency, motivation, and the quality of student activity management at one of the universities.
TINGKAT EFISIENSI PELAYANAN EKSPEDISI DI KOTA LHOKSEUMAWE MENGGUNAKAN METODE DATA ENVELOPMENT ANALYSIS: THE EFFICIENCY LEVEL OF EXPEDITION SERVICES IN LHOKSEUMAWE CITY USING THE DATA ENVELOPMENT ANALYSIS (DEA) METHOD Silvia Nanda; Dahlan Abdullah; Zara Yunizar
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6531

Abstract

Lhokseumawe is one of the economic centers in Aceh that has a role in supporting distribution and services. With the development of e-commerce and the trading industry, the need for expedition services is increasing. Improved efficiency in the expedition service section is one way that can be done by the company to always meet customer satisfaction. The study implemented the CCR model Data Envelopment Analysis (DEA) method that aims to measure the efficiency of expedition services. There are four samples of companies: Shopee Express, J&T, JNT, and TIKI. The input variables used include the number of employees, number of vehicles, and operational costs, while the output variables include the number of delivered packages, the number of customers, and the number of timely delivery. The results showed that Shopee Express, J&T and JNE have an efficiency value of 1, which indicates that all three expeditions have utilized the input optimally to produce output. Meanwhile, TIKI has an efficiency value of 0.057, which indicates that it is still far from efficient conditions that require further evaluation to optimize input and output like all three other expeditions. This research not only contributes academically but also recommendations for expedition companies, so it can be the basis for strategic decision making to improve the competitiveness and quality of logistics services at Lhokseumawe.
HAR-MI method for multi-class imbalanced datasets H. Hartono; Yeni Risyani; Erianto Ongko; Dahlan Abdullah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14818

Abstract

Research on multi-class imbalance from a number of researchers faces obstacles in the form of poor data diversity and a large number of classifiers. The Hybrid Approach Redefinition-Multiclass Imbalance (HAR-MI) method is a Hybrid Ensembles method which is the development of the Hybrid Approach Redefinion (HAR) method. This study has compared the results obtained with the Dynamic Ensemble Selection-Multiclass Imbalance (DES-MI) method in handling multiclass imbalance. In the HAR-MI Method, the preprocessing stage was carried out using the random balance ensembles method and dynamic ensemble selection to produce a candidate ensemble and the processing stages was carried out using different contribution sampling and dynamic ensemble selection to produce a candidate ensemble. This research has been conducted by using multi-class imbalance datasets sourced from the KEEL Repository. The results show that the HAR-MI method can overcome multi-class imbalance with better data diversity, smaller number of classifiers, and better classifier performance compared to a DES-MI method. These results were tested with a Wilcoxon signed-rank statistical test which showed that the superiority of the HAR-MI method with respect to DES-MI method.
Co-Authors - Hartono . Zulfan Abdul Wahab Abdullah A. Z Achmad Harristhana Mauldfi Sastraatmadja Aditia, Donny Adli Zain, Razlan Afisman, Heri Juni Afriza, Muhammad Ridho Agil, Helvina Agus Sukoco Akbar, Abdul Hanif Al Kautsar Aidilof, Hafizh Al- Amin Al-Amin Ali Nasith Alimul Haq, Nur Ambas, Jamin Amny Yasira Amrina, Amrina Ananda Faridhatul Ulva Andik Bintoro ani, Muli Anni Zulfia Annisa Karima Ansyari, Taufik Habib Anuar Bahri, Khairil Ar Razi Ar Razi, Ar Razi Arifah, Mutia Arifin, Arifin Arnawan Hasibuan Aslam Aslam, Aslam Aswita Indah Luthfiana Hasibuan Aulia Barus, M Farhan Ayu Anggreni, Made Berkah Nadi, Muhammad Abi Chaliza Nur, Wan Amalia Cindy Rahayu Cut Agusniar Cut Ita Erliana Cut Yusra Novita Daniel Akhyar Darmawanta Sembiring Dedi Fariadi Defi Irwansyah Defi Irwansyah Deisye Supit Deslana Roidja Hapsarini Devin Mahendika Dita Amelia, Dita 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 Fazil, M Fidyatun Nisa Fikri, Khusnul Firman Aziz 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, Abdurrozzaq Hasibuan, Fadilah Suryani Hasibuan, Muammar Faturrahman 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 Indrawati Irdanil Kamal, Irdanil Irianto, Sugeng Irma Oktari Irwansyah, Defi Islam, Khoirul Iswan Riyadi Iswandi Iswandi Iswandi Iswandi Iylia Azlan, Rabiatul Juarni Siregar Judijanto, Loso Kamilah, Muna Kartika Kartika Kartini Rahayu Khairul Fuadi Khairullah Yusuf Komang Ayu Krisna Dewi Kosasih Kosasih , Kosasih Kurniawansyah, Kurniawansyah Kurniawati Kurniawati La Ode Muhammad Idrus Hamid B Lahap, Johanudin Lamsir, Seno Laros Tuhuteru Latif, Sarifudin Andi Lestari, Nana Citrawati Lestari, Veronika Nugraheni Sri Lidya Rosnita Limbong, Hendra Putranta Lisa Mulia Al Ikhlas Luana Sasabone Lubis, Fauzan Arbi Luh Yusni Wiarti M Farhan Aulia Barus M Fauzan Maharani Asnur, Sardian Mahesa Reglisalo Manik, Aktina Marganda Simarmata Marlina Sari Maryana Maryana Maryana Maryana, Maryana Masriadi Maulana, Fatur Rahman Maulinda, Rerin Maya Savira Meilyana Meilyana 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 Iqbal Muhammad Khahfi Zuhanda Muhammad Khalis, Muhammad Muhammad Riansyah Muhammad Zarlis Muhammad Zarlis, Muhammad Muharam, Suhari muli ani Munirul Ula Muslem Muslem Muslem Muthmainnah Muthmainnah Muzaffar Rigayatsyah Muzaffar Rigayatsyah N. Nazaruddin Nadia Karunia, Meutia Nadya Raudathul Sofa Nanda Imanda Nashihin Nasution, Zainannur Nefo Preyandre Ni Ketut Dewi Irwanti Noviany, Henny Nunsina, Nunsina Nurdin Nurdin Nurhasanah Nursyamsi SY Nuruddin Nuruddin Oksfriani Jufri Sumampouw Pasaribu, Hafni Maya Sari Pertiwi, Anggun Pikri, Faizal Poetri AL-Viany Maqfirah Puji, Ari Andriyas Putra, Arwin Putu Eka Wirawan Rafi’i, Rafi’i Rahma Fitria, Rahma Rahmat, Rezqiqah Aulia Ramlan, Rifqi Ramli, Rahmat Rasna, 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 Roslaini Roslaini S, Syarifuddin Sabriana, Riska Safwandi Safwandi Safwandi Safwandi, Safwandi Said Anshari Said Fadlan Anshari salamah salamah Salat, Junaidi Samsul A Rahman Sidik Hasibuan Sandya, Deasy Saputra, Nanda Saputra, Rizwan Sasabone, Luana Satria Pati Alam Sayed Fachrurrazi Selamat Meliala 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 Taufiq Taufiq Teuku Mudi Hafli Touwe, Yohana S Touwe, Yohana S. Tri Suryowidiyanti Ulfa, Nur Saufani Ultra Prayogi Ulumul Haq, Bahrul Utomo, Muhammad Fikri Veronika Nugraheni Sri Lestari Victor E. D Palapessy Wa Ode Riniati Wahyu Pertiwi, Yuarini 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, Zahratul Zainannur Nasution Zalfie Ardian Zara Yunizar Zega, Subhansah Zulfahmi Zulfahmi