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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 ITEj (Information Technology Engineering Journals) JOIV : International Journal on Informatics Visualization Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer International Journal of Artificial Intelligence Research SISFOTENIKA Jurnal SOLMA 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 INFORMATION SYSTEM RESEARCH (JOSH) JINAV: Journal of Information and Visualization International Journal of Engineering, Science and Information Technology Bulletin of Computer Science Research 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 Indonesian Journal of Education (INJOE) Journal International Journal of Teaching and Learning (INJOTEL) INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS) INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) International Journal of Language and Ubiquitous Learning Journal Emerging Technologies in Education 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)
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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Analisis Performa Variational Quantum Classifier (VQC) dengan ZZ Feature Map dan Angle Encoding Untuk Mengidentifikasi Serangan Jantung Rahma, Hilmia; Dahlan Abdullah; Desvina Yulisda
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.712

Abstract

Heart attact is one of the leading causes of death worldwide, with mortality increasing due to delayed diagnosis and limited facilities in some regions. Early detection during the crucial first hour after symptoms appear (the golden hour) is crucial for reducing mortality and improving patient prognosis. This study aims to evaluate the performance of the Quantum Neural Network (QNN) by implementing the Variational Quantum Classifier (VQC) model using two types of feature maps: ZZ Feature Map and Angle Encoding, for heart attack detection classification using datasets from Kaggle. The research process includes dataset collection, Exploratory Data Analysis (EDA), data preprocessing and splitting, model building using ZZ Feature Map and Angle Encoding, ending with model performance evaluation. The results showed that VQC using ZZ Feature Map achieved an accuracy of 52.27% with a confusion matrix showing suboptimal predictions and relatively low precision, recall, and F1-score values. Meanwhile, VQC using Angle Encoding achieves an accuracy of 68.18% with a confusion matrix that shows a higher number of correct predictions and better precision, recall, and F1-score results compared to VQC using ZZ Feature Map. Evaluation using a confusion matrix shows that the model with Angle Encoding can minimize the prediction error. However, the accuracy achieved is not yet optimal for direct clinical implementation. These findings underscore the need for further development to enhance model performance, while serving as a promising first step toward establishing a foundation for developing more optimal QNN methods in the future.
AUTONOMOUS SYSTEMS IN TOURISM: APPLICATION OF SWARM ROBOTICS TECHNOLOGY FOR OPERATIONAL OPTIMIZATION IN INDONESIAN TOURIST DESTINATIONS Indah Sulistiani; Rafi’i, Rafi’i; Syarifuddin, Syarifuddin; Cut Ita Erliana; Dahlan Abdullah
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 1 (2024): January
Publisher : Adisam Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tourism in Indonesia continues to evolve as a vital sector in the economy, yet faces complex challenges in optimizing operational efficiency at tourist destinations. This research explores the application of autonomous systems and swarm robotics technology as an innovative solution to enhance operational efficiency. Autonomous systems, leveraging artificial intelligence and automation, collaborate with the adaptive principles of swarm robotics to create dynamic solutions for managing long queues, security, and mobility in tourist destinations. Through case studies and testing technology implementation at specific destinations, this research reveals the positive contributions of these systems to visitor experiences and operational efficiency. The implications of these findings extend to Indonesia's broader tourism sector, offering potential improvements in competitiveness and sustainability. The research details the potential development of swarm robotics technology in the future and highlights aspects that warrant further investigation. Thus, the approach of autonomous systems and swarm robotics becomes a practical solution and a strategic foundation for redefining tourism operations in Indonesia.
Pelatihan Konservasi Terumbu Karang Untuk Berkelanjutan Ekosistem Laut Pada Kabupaten Simeulue Hafli, Teuku Mudi; Fauzan, M; Abdullah, Dahlan; Imanullah, Imanullah; Zulfan, Zulfan; Fazil, M
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 7 No. 4 (2024): Oktober 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i4.3391

Abstract

Most of the Simeulue population depends on marine products for their livelihoods. However, the use of bombs in fishing has posed a serious threat to the sustainability of fish resources, which are crucial assets for the community's welfare. The practice of fishing with bombs not only damages marine habitats, including coral reefs, but also threatens the sustainability of fish resources in the future. If allowed to continue, this can harm marine ecosystems and jeopardize the sustainability of the local economy. To address this problem, training and implementing coral reef conservation using the Coral Adoption method is crucial. This initiative, which involves the Simeulue Regency government, Simeulue Police, and TNI, focuses on the community, especially fishermen. The Coral Adoption method is a marine environmental rehabilitation technique that aims to conserve marine biota, accelerate coral reef growth, and restore threatened ecosystems. The training provides participants with knowledge about the negative impacts of fish bombing and the importance of marine environmental rehabilitation. It also empowers them to stop such destructive practices. Furthermore, participants recognize the long-term impacts of fish bombing on their socio-economic aspects, which ultimately increases their commitment to preserving the marine environment for a better future.            Keywords: fish bomb; coral reef; fishing; fisherman  Abstrak: Sebagian besar penduduk Simeulue bergantung pada hasil laut untuk mata pencaharian mereka. Namun, penggunaan bom dalam penangkapan ikan telah menimbulkan ancaman serius terhadap kelestarian sumber daya ikan yang menjadi aset penting bagi kesejahteraan masyarakat. Praktik penangkapan ikan dengan bom tidak hanya merusak habitat laut, termasuk terumbu karang, tetapi juga mengancam keberlanjutan sumber daya ikan di masa depan. Jika dibiarkan berlanjut, hal ini dapat berdampak buruk pada ekosistem laut dan mengancam keberlanjutan ekonomi lokal. Untuk mengatasi masalah ini, pelatihan dan penerapan konservasi terumbu karang dengan metode Rock Pile menjadi sangat penting. Pelatihan ini, yang melibatkan pihak pemerintah Kabupaten Simeulue, Polres Simeulue, dan TNI, difokuskan pada masyarakat, terutama nelayan. Rock Pile adalah teknik rehabilitasi lingkungan laut yang bertujuan untuk melestarikan biota laut, mempercepat pertumbuhan terumbu karang, dan memulihkan ekosistem yang terancam. Manfaat dari pelatihan ini, peserta tidak hanya memperoleh pengetahuan tentang dampak buruk pengeboman ikan dan pentingnya rehabilitasi lingkungan laut, tetapi juga menjadi lebih percaya diri dalam menghentikan praktik destruktif tersebut. Selain itu, mereka menyadari dampak jangka panjang pengeboman ikan terhadap aspek sosial ekonomi mereka, yang pada akhirnya meningkatkan komitmen mereka untuk melestarikan lingkungan laut demi masa depan yang lebih baik.Kata kunci: bom ikan; terumbu karang; penangkap ikan; nelayan
The Development of a Laundry Location Tracking Application Model Based on Artificial Intelligence and Mobile Computing Chaizir, Muhammad; Abdullah, Dahlan; Daud, Muhammad
Journal of Industrial Engineering and Management Vol 1, No 1 (2023)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/jaiem.v1i1.13

Abstract

There is a lack of information systems that can facilitate the laundry business in reaching the market, so an application is needed to provide information to be known by many people in the city of Banda Aceh. One is by delivering information using the nearest laundry location search application. With the help of the internet and smartphones, it can make it easier for people to find the nearest laundry. The researcher is interested in designing a smartphone application to provide information on the nearest laundry. This study aims to create information media to develop an artificial intelligence-based laundry location search application model and a laundry location search application model with mobile Computing in Banda Aceh. The stages of this research are field observation, application design and design, application trials, research implementation permits, research data collection, and analysis of research results. The research implementation is located in the city of Banda Aceh. This research method is included in the Research and Development (RD) development category. The data collection used is as follows: notes on the results of interviews, field observations, and data related to informants. The results of this study are in the form of an application that provides information on the location of the nearest laundry from a distance of the user automatically when the application is run, and the user can search for the lowest price, 4+ star branches, and laundries that provide Pickup services.
Comparative Analysis of Network Quality Using QOS Parameters on Mikrotik Routers Using the Queue Tree and Simple Queue Methods Zulfia, Anni; Abdullah, Dahlan; Fajriana, Fajriana
Journal of Industrial Engineering and Management Vol 1, No 1 (2023)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/jaiem.v1i1.12

Abstract

The research was conducted by researchers at Trienggadeng State Vocational School located on Jl Banda Aceh-Medan KM 152, Kec. Trienggadeng Regency. Pidie Jaya. This research is based on the importance of the network in the ongoing teaching and learning process in the network and computer labs, the network in the lab is currently not managed properly and the distribution of bandwidth is not evenly distributed. To get a good internet connection, it is necessary to distribute bandwidth evenly, which can be done using a proxy router. One of the features for distributing bandwidth evenly in the proxy router can be applied using the simple queue and queue tree methods, knowing network quality can be done using Quality of Service (QoS) measurements. This study aims to determine the analysis of network quality using Qos on proxy routers using the simple queue and queue tree methods. The method used in this study is to use the action research method (action research), the stages of the research are analyzing, data collection, data completeness, making network designs, and taking action. The results obtained for network analysis in a comparative study between simple queue and queue tree networks, the results for the delay obtained by the queue tree are 9 ms, packet loss = 0%, and throughput = 549 k. Whereas the simple queue obtains the value from the QoS measurement by performing calculations with the equation formula to obtain a value of delay = 8 ms, packet loss = 0.15% and throughput = 629 k. Based on the Tiphon standard, it can be concluded that for delay, a queue tree is better with a value above the simple queue with a very good index, the packet loss queue tree is better than the simple queue, the index is very good, the throughput of the simple queue is better compared to the throughput queue tree. This research shows that overall Queue Tree is more optimal for QoS.
Penyuluhan Pembuatan Biopori Limbah Kulit Kopi di Desa Kenine Bener Meriah Al Kautsar Aidilof, Hafizh; Yulisda, Desvina; Yusdartono, Habib Muharry; Fitria, Rahma; Razi, Ar; Abdullah, Dahlan
Jurnal SOLMA Vol. 12 No. 1 (2023)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v12i1.10496

Abstract

Background: Salah satu faktor penentu kualitas dan produktivitas kopi yang dihasilkan adalah kualitas lahan kebun kopi. Diharapkan para petani dapat menjaga kualitas tanaman dengan perawatan melalui dukungan peningkatan unsur hara tanah pada lahan dengan bantuan pupuk kompos. Kegiatan ini dapat dilaksanakan dengan dukungan penuh dari kepala desa Kenine Bener Meriah dengan jumlah peserta sebanyak 26 orang masyarakat desa Kenine. Metode: Pada tahap pertama dilakukan pembuatan alat biopori dan alat sensor pH berbasis IoT yang kemudian di praktekkan langsung pada salah satu lahan kenun kopi masyarakat desa Kenine. Tim penyuluhan juga mengarahkan masyarakat untuk terjun langsung ke lapangan untuk melakukan simulasi penggunaan alat biopori ini. Selanjutnya tim memberikan pengarahan dan manfaat penggunaan alat biopori di bandingkan dengan kegiatan yang biasa dilakukan masyarakat untuk menyuburkan kebun mereka. Selanjutnya pada tahap evaluasi tim juga memantau hasil yang di dapat setelah penerapan biopori serta memantau pemakaian sensor pada kebun warga. Hasil: Peningkatan pada tumbuhan kopi yang dipakai alat biopori dan diharapkan produktivitas kopi juga meningkat seiring dengan pertumbuhan pokok kopi tersebut. Kesimpulan: Penggunaan pipa biopori untuk pembusukan limbah kulit kopi bermanfaat untuk menggemburkan tanah, menjadi pupuk kompos dan dapat menambah volume penyerapan air hujan.
Hesitant Fuzzy-Stochastic Data Envelopment Analysis (HF-SDEA) Model for Benchmarking Abdullah, Dahlan; Hartono, -; Erliana, Cut Ita
JOIV : International Journal on Informatics Visualization Vol 5, No 1 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.1.405

Abstract

The Data Envelopment Analysis (DEA) method is a method commonly used in benchmarking. The Dynamic Data Envelopment Analysis (DDEA) method was proposed to improve the DEA method in the benchmarking process. The DDEA method proposed can determine the effectiveness of the Decision Making Unit (DMU). The disadvantage of the DDEA model is that it cannot handle problems that involve benchmarking for stochastic data. To improve the DDEA method, the Stochastic Data Envelopment Analysis (SDEA) method is proposed which can be used for benchmarking involving stochastic data. The SDEA method itself has weaknesses in dealing with noise and uncertainty problems that will appear in the assessment process. The purpose of the research conducted by the researcher was to use the Hesitant Fuzzy method in optimizing the SDEA method so that the Hesitant Fuzzy model - Stochastic Data Envelopment Analysis (HF-SDEA) could be carried out benchmarking process in a situation where the assessment contained many elements of uncertainty. The results of this study are benchmarking methods that can do benchmarking for stochastic data on conditions that contain elements of uncertainty.
Prediction Of Unemployment Rate Using The Fuzzy Time Series Chen Model Method Karima, Annisa; Abdullah, Dahlan; Muthalib, Muchlis ABD; Nurdin, Nurdin; Daud, Muhammad
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.
Firewall Analytics in DNS and SYN Flood Protection on Mikrotik CCR in the North Aceh District Government Imanda, Nanda; Abdullah, Dahlan; Fajriana, Fajriana; Nurdin, Nurdin; Ula, Munirul
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.
Analysis of Performance Characteristics and Efficiency of Electric Car Battery Charging Using The Method (CC-CV) Lubis, Muhammad Hanafi Sahar; Hasibuan, Arnawan; Fariadi, Dedi; Abdullah, Dahlan; Nasution, Fakhruddin Ahmad; Jannah, Misbahul; A. Z, Abdullah
VOCATECH: Vocational Education and Technology Journal Vol 7, No 2 (2025): December
Publisher : Akademi Komunitas Negeri Aceh Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38038/vocatech.v7i2.250

Abstract

AbstractThe growth of electric vehicles (EVs) continues to increase in line with the global awareness of the importance of using environmentally friendly energy. One of the main components in an EV system is the battery, which requires an efficient and safe charging system. The Constant Current–Constant Voltage (CC-CV) charging method is one of the most commonly used approaches, as it maintains stable current and voltage during the charging process. This study aims to design a battery charging system simulation for electric vehicles using the CC-CV method, analyze the charging performance characteristics, and evaluate its efficiency. The research method used is simulation with MATLAB/Simulink software. The research stages include literature review, problem identification, circuit simulation design, simulation implementation, and result analysis. A PI Controller is employed to precisely regulate current and voltage, along with State of Charge (SoC) and voltage sensors to monitor the battery condition in real-time. Simulation results show that the system is capable of automatically transitioning between Constant Current (CC) and Constant Voltage (CV) modes responsively and stably. In CC mode, charging occurs rapidly with constant current, while in CV mode, voltage is kept stable and current gradually decreases. The achieved charging indicating that the CC-CV method enables a fast, safe, and efficient charging process while minimizing the risks of overcharging and overvoltage. AbstrakPertumbuhan kendaraan listrik (electric vehicle/EV) terus meningkat seiring dengan kesadaran global terhadap pentingnya penggunaan energi ramah lingkungan. Salah satu komponen utama dalam sistem kendaraan listrik adalah baterai, yang memerlukan sistem pengisian daya yang efisien dan aman. Metode pengisian Constant Current–Constant Voltage (CC-CV) merupakan salah satu pendekatan yang paling umum digunakan karena mampu menjaga kestabilan arus dan tegangan selama proses pengisian. Penelitian ini bertujuan untuk merancang simulasi sistem pengisian daya baterai kendaraan listrik menggunakan metode CC CV, menganalisis karakteristik performa pengisian, serta mengevaluasi efisiensinya. Metode penelitian yang digunakan adalah simulasi menggunakan perangkat lunak MATLAB/Simulink. Tahapan penelitian meliputi studi literatur, identifikasi masalah, perancangan rangkaian simulasi, pelaksanaan simulasi, serta analisis hasil simulasi. Dalam perancangannya, digunakan PI Controller untuk mengatur arus dan tegangan secara presisi, serta sensor State of Charge (SoC) dan sensor tegangan untuk memantau kondisi baterai secara real-time. Hasil simulasi menunjukkan bahwa sistem mampu melakukan transisi otomatis antara mode Constant Current (CC) dan Constant Voltage (CV) secara responsif dan stabil. Pada mode CC, pengisian berjalan cepat dengan arus konstan, sedangkan pada mode CV, tegangan dijaga tetap dan arus menurun secara bertahap. Efisiensi pengisian daya yang dicapai menunjukkan bahwa metode CC-CV mampu memberikan proses pengisian yang cepat, aman, dan efisien, serta meminimalkan risiko overcharge dan overvoltage).
Co-Authors - Hartono . Zulfan A. Z, Abdullah Abdul Wahab Achmad Harristhana Mauldfi Sastraatmadja Aditia, Donny Adli Zain, Razlan Affiza, Denhaz Pattra Afisman, Heri Juni Afriza, Muhammad Ridho Agil, Helvina Agus Sukoco Akbar, Abdul Hanif Akhyar, Daniel Al Kautsar Aidilof, Hafizh Al- Amin Ali Nasith Alimul Haq, Nur Ambas, Jamin Amny Yasira Amrina, Amrina Ananda Faridhatul Ulva Andik Bintoro ani, Muli ANNISA KARIMA Ansyari, Taufik Habib Anuar Bahri, Khairil Ar Razi, Ar Razi Arifah, Mutia Arifin, Arifin Arnawan Hasibuan Aslam Aslam, Aslam Aulia Barus, M Farhan Ayu Anggreni, Made Berkah Nadi, Muhammad Abi Chaizir, Muhammad Chaliza Nur, Wan Amalia Cindy Rahayu Cut Agusniar Cut Ita Erliana Cut Yusra Novita Darmawanta Sembiring Dedi Fariadi Defi Irwansyah Defi Irwansyah Deisye Supit 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 Fuadi, Khairul Gamar Al Haddar Gio, Prana Ugiana Habib Muharry Yusdartono Haedir, Haedir Hapsarini, Deslana Roidja Haris Danial Hartono Hartono 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 Imanda, Nanda Imanullah, Imanullah Indah Sulistiani Indra Pilianti D Indra Tjahyadi 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 Khairullah Yusuf Komang Ayu Krisna Dewi Kosasih , Kosasih Kurniawansyah, Kurniawansyah 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 Lubis, Fauzan Arbi Lubis, Muhammad Hanafi Sahar 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 Misbahul Jannah Miswar Miswar Mochamad Gilang A Mubarok Mohammad, Wily Mohd Said, Noraslinda Mohd Syahrin Muhamad Stiadi Muhammad Daud Muhammad Daud Muhammad Fikry Muhammad Ichsan Muhammad Ihsan Dacholfany Muhammad Ikhsan Setiawan Muhammad Ikhsan Setiawan Muhammad Ikhwani Muhammad Khahfi Zuhanda Muhammad Khalis, Muhammad Muhammad Riansyah Muhammad Zarlis Muhammad Zarlis, Muhammad Muharam, Suhari muli ani Munirul Ula Muslem Muslem Muslem Muslem, Muslem Muthalib, Muchlis Abd Muthmainnah Muthmainnah Muzaffar Rigayatsyah Muzaffar Rigayatsyah N. Nazaruddin Nadia Karunia, Meutia Nashihin Nasution, Zainannur Nefo Preyandre Ni Ketut Dewi Irwanti Noviany, Henny Nunsina, Nunsina Nurdin Nurdin Nurdin Nurdin Nurhasanah Nursyamsi SY Nuruddin Oksfriani Jufri Sumampouw Paisal Halim 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 Rahma, Hilmia Rahmat, Rezqiqah Aulia Ramlan, Rifqi Ramli, Rahmat Rasna, Rasna Razi, Ar Reskiawan, Bimas - Rezzy Eko Caraka Riansyah, Muhammad Richki Hardi Rifkial Iqwal Rini Meiyanti Risawandi, Risawandi 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 Sima, Yenny Simarmata, Marganda Sitti Nur Alam Subhan, Roni Sulistyandari, Sulistyandari Surnihayati Surnihayati Susanti, Putu Herny Sutarna, Agus Syahputra, Wawan 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 Veronika Nugraheni Sri Lestari Victor E. D Palapessy Wa Ode Riniati Wahyu Pertiwi, Yuarini wandi, risa Wenny J, Syilvia Widiyani, Maya Yeni Risyani Yesy Afrillia 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 Zulfia , Anni