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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics CESS (Journal of Computer Engineering, System and Science) Jurnal Teknologi Informasi dan Komunikasi InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Juripol (Jurnal Institusi Politeknik Ganesha Medan) Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Query : Jurnal Sistem Informasi Zero : Jurnal Sains, Matematika, dan Terapan JURIKOM (Jurnal Riset Komputer) Data Science: Journal of Computing and Applied Informatics Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH ComTech: Computer, Mathematics and Engineering Applications Building of Informatics, Technology and Science Jurnal Mantik Indonesian Journal of Education and Mathematical Science International Journal of Advances in Data and Information Systems Randwick International of Social Science Journal Jurnal Scientia Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Journal of Applied Data Sciences TECHSI - Jurnal Teknik Informatika Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) The Indonesian Journal of Computer Science Journal of Digital Market and Digital Currency
Efendi, Syahril
Department Of Computer Science And Information Technology, University Of North Sumatra, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Improvement of Population Data for Kuta Mbelin Village, STM Hulu District, Deliserdang Regency to Open SID Based Population Data Efendi, Syahril; Nurahmadi, Fauzan; Manik, Fuzy Yustika; Seniman; Harumy, T. Henny Febriana; Jaya, Ivan; Absah, Yeni; Syahputra, Muhammad Romi; Hastuti, Liana Dwi Sri; Nainggolan, Pauzi Ibrahim; Herianto, Tulus Joseph; Br Ginting, Dewi Sartika; Yudhistira
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 2 (2024): ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/abdimastalenta.v9i2.18782

Abstract

The community service program conducted in the fostered village of LPPM USU, namely Kuta Mbelin Village, STM Hulu District, Deliserdang Regency, which already has a village information system (https://s.id/kutambelin) as a manifestation of a digital village, should convert the population data processed conventionally into population data that can be integrated with the village's needs. This includes the ability to monitor population growth, facilitate correspondence and archiving, obtain village population statistics, and more. To improve this data, the fostered village team is implementing an open-source Village Information System, commonly known as Open SID. The data processed by the village using MS Excel covers two hamlets out of the three in Kuta Mbelin village. Hamlet I has 261 residents and Hamlet II has 532 residents, while Hamlet III is still being processed by the village operator. This existing population data needs to be refined and integrated into the Open SID-based population data platform by first performing data cleaning to ensure it can be incorporated into the village information system. The data entry process is continuously carried out by the LPPM USU community service team and village operators, involving USU MBKM KKN students in the village.
Implementation of Expert System for Detection Periodontitis Disease Using Fuzzy Logic Hardi, Sri Melvani; Siagian, Deliyana; Efendi, Syahril
ZERO: Jurnal Sains, Matematika dan Terapan Vol 4, No 2 (2020): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v4i2.8993

Abstract

The wellbeing area is one region that requires innovation in technology. Wellbeing is for sure a costly thing for people. In this manner it takes individual affectability to care for it. One of the solid organs that people frequently disregard is teeth and mouth. Periodontitis is a dental and oral illness that is frequently grumbled of by numerous individuals. In any case, as of recently, periodontitis has not been a critical worry of Indonesian individuals. It is important to give data and comprehension about periodontitis side effects to dynamic smokers by making an expert system. A system is expected to distinguish the underlying indications and straightforwardly beat these side effects. The expert system is a part of Computer Science that fills in as a spot to move information from specialists so computers can have the aptitude to tackle issues utilizing these specialists' information. The technique utilized in this examination is the Fuzzy Logic strategy. This present investigation's eventual outcomes are analytic outcomes from the fluffy rationale technique, where the exactness of the Fuzzy Logic strategy is 93.33%.
Pengamanan Citra Menggunakan Kombinasi Algoritma Kriptografi Hill Cipher dan Teknik Transposisi Segitiga Simamora, Windi Saputri; Efendi, Syahril; Nababan, Erna Budhiarti
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 6, No 2 (2022): InfoTekJar Maret
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v6i2.4713

Abstract

Cara untuk mengamankan citra dapat dilakukan dengan kriptografi. Penelitian pada algoritma kriptografi sudah cukup banyak berkembang. Beberapa penelitian menyebutkan bahwa menggabungkan dua algoritma kriptografi dapat lebih meningkatkan keamanan dari citra dibandingkan dengan hanya satu algoritma. Penelitian ini melakukan enkripsi menggunakan kombinasi dua algoritma yaitu teknik transposisi segitiga dan Hill Cipher. Proses penggabungan dua algoritma dilakukan dengan terlebih dahulu mengenkripsi menggunakan teknik transposisi segitiga dan kemudian dilanjutkan dengan Hill Cipher. Begitu juga dengan proses dekripsi yang dilakukan secara kebalikannya. Pada penelitian ini menghasilkan performa yang lebih baik dibandingkan dengan menggunakan satu metode yang dapat dilihat pada nilai rata-rata MSE yang besar yaitu 10878,992 dan rata-rata PSNR yang kecil yaitu 0,781. Hal tersebut menandakan dengan menggabungkan dua algoritma dapat membuat pesan menjadi lebih aman. Metode dalam penelitian ini juga berhasil mengembalikan citra dangan baik tanpa adanya penambahan maupun pengurangan yang dapat dilihat dari hasil MSE dan PSNR yaitu 0 dan ∞.
Development of distance formulation for high-dimensional data visualization in multidimensional scaling Marto Hasugian, Paska; Mawengkang, Herman; Sihombing, Poltak; Efendi, Syahril
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8738

Abstract

This research aims to produce a new method called pasca-multidimensional scaling (pasca-MDS) by modifying the multidimensional scaling (MDS) method, the developed model comes as a solution to overcome the problem of data complexity by reducing its description dimension without losing important information. This model, offers an innovative approach in dealing with these problems. Pasca-MDS not only focuses on reducing the dimensionality of data, but also retains the essence of relevant information from each data point. As such, it allows for easier and more efficient analysis without compromising the accuracy of the information conveyed. The main advantage of pasca-MDS lies in its ability to produce simpler visual representations while maintaining the original structure of complex data. This provides clarity and ease in understanding the patterns or relationships hidden within. By using adjustment techniques after the MDS process, this model can provide more optimized results. This process allows the adjustment of data points to achieve a better representation in a lower dimensional space, resulting in a more intuitive and easy-to-understand interpretation. The developed distance formula has the ability to minimize stress compared to other distance formulas in MDS space, with the aim of improving the accuracy of high-dimensional data visualization.
Investigating the Correlation Between Tesla Stock Prices and Cryptocurrency Prices Using Pearson and Spearman Correlation Analysis (2010-2024) Iqbal, Muhammad; Efendi, Syahril
Journal of Digital Market and Digital Currency Vol. 2 No. 3 (2025): Regular Issue September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jdmdc.v2i3.36

Abstract

This study investigates the correlation between Tesla's stock prices and the prices of the two leading cryptocurrencies, Bitcoin and Ethereum, from 2010 to 2024. By employing both Pearson and Spearman correlation analyses, the research identifies strong positive correlations between these assets, with Tesla-Bitcoin showing a Pearson coefficient of 0.76 and Tesla-Ethereum at 0.82. The Spearman correlations further validate these findings, indicating that Tesla's stock prices are significantly aligned with the movements of Bitcoin and Ethereum. The results suggest that similar market forces and investor sentiments influence both Tesla and these cryptocurrencies. This strong correlation implies that investors should be cautious when seeking diversification, as these assets tend to move together, potentially amplifying portfolio risk. The study's findings underscore the importance of considering cross-market dynamics in investment strategies and highlight the interconnectedness of traditional and digital financial markets. Future research could explore the relationships between other technology stocks and digital assets, as well as the evolving correlations in response to major market events.
INOVASI DIGITAL DAN TEKNOLOGI UNTUK PEMBANGUNAN BERKELANJUTAN DI DESA KUTA MBELIN Efendi, Syahril; Nurahmadi, Fauzan; Manik, Fuzy Yustika; Seniman, Seniman; Harumy, T. Henny Febriana; Jaya, Ivan; Absah, Yeni; Syahputra, Muhammad Romi; Hastuti, Liana Dwi Sri; Nainggolan, Pauzi Ibrahim; Herianto, Tulus Joseph; Ginting, Dewi Sartika Br; Yudhistira, Yudhistira
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.5154

Abstract

 Abstract: Kuta Mbelin Village in STM Hulu District, Deli Serdang Regency, utilizes digital technology to accelerate sustainable development through its official village website, kutambelin.com. This website plays a crucial role in promoting the village's potential, particularly in the agriculture and nature tourism sectors, which support the achievement of SDG 8 (Decent Work and Economic Growth). Furthermore, kutambelin.com highlights sustainable environmental management programs relevant to SDG 12 (Responsible Consumption and Production), and supports digital infrastructure innovation related to SDG 9 (Innovation, Infrastructure, and Industrialization). Keywords: Kuta Mbelin Village, digital innovation, sustainable development, SDGs, village website, local promotion, agriculture, tourism. Abstrak: Desa Kuta Mbelin di Kecamatan STM Hulu, Kabupaten Deli Serdang, memanfaatkan teknologi digital untuk mempercepat pembangunan berkelanjutan melalui situs web resmi desa, kutambelin.com. Website ini memainkan peran penting dalam mempromosikan potensi desa, khususnya di sektor pertanian dan pariwisata alam, yang mendukung pencapaian SDG 8 (Pekerjaan Layak dan Pertumbuhan Ekonomi). Selain itu, kutambelin.com menyoroti program pengelolaan lingkungan yang berkelanjutan, relevan dengan SDG 12 (Konsumsi dan Produksi yang Bertanggung Jawab), serta mendukung inovasi infrastruktur digital yang terkait dengan SDG 9 (Inovasi, Infrastruktur, dan Industrialisasi). Kata Kunci : Desa Kuta Mbelin, inovasi digital, pembangunan berkelanjutan, SDGs, website desa, promosi lokal, pertanian, pariwisata.
Digitalisasi Administrasi Desa Kuta Mbelin Berbasis SID Untuk Tata Kelola Pemerintahan Yang Efektif Berkelanjutan Efendi, Syahril; Fauzan Nurahmadi; Fuzy Yustika Manik; Seniman; T. Henny Febriana Harumy; Ivan Jaya; Yeni Absah; Muhammad Romi Syahputra; Liana Dwi Sri Hastuti; Pauzi Ibrahim Nainggolan; Tulus Joseph Herianto; Dewi Sartika Br Ginting; Yudhistira
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 9 No. 1 (2026): Januari 2026
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v9i1.4326

Abstract

Abstract: The digital transformation of village administration has become an urgent need to enhance public service efficiency and ensure transparent local governance. This study analyzes the implementation of the Village Information System (SID) in Kuta Mbelin Village, STM Hulu Subdistrict, Deli Serdang Regency, as a mechanism for supporting administrative digitalization. It also evaluates the role of information technology in village governance and the integration of village statistical data within the framework of the Sustainable Development Goals (SDGs). The research employs a combination of literature review, field observation, and interviews with village officials and community members. The findings indicate that the adoption of SID in Kuta Mbelin Village improves administrative efficiency, accelerates public service delivery, and enables evidence-based data management that supports sustainable village development planning. This study recommends enhancing SID by integrating data analytics and strengthening information security to maximize its usefulness in village governance. Keywords: village digitalization; village information system; governance; SDGs; kuta mbelin village Abstrak : Transformasi digital dalam administrasi desa menjadi kebutuhan mendesak guna meningkatkan efisiensi layanan publik dan tata kelola pemerintahan yang transparan. Penelitian ini menganalisis implementasi Sistem Informasi Desa (SID) di Desa Kuta Mbelin, Kecamatan STM Hulu, Kabupaten Deli Serdang, dalam mendukung digitalisasi administrasi desa. Studi ini juga mengevaluasi peran teknologi informasi dalam tata kelola pemerintahan desa serta integrasi data statistik desa dalam perspektif Sustainable Development Goals (SDGs). Metode penelitian yang digunakan meliputi studi literatur, observasi lapangan, dan wawancara dengan perangkat desa serta masyarakat. Hasil penelitian menunjukkan bahwa penerapan SID di Desa Kuta Mbelin meningkatkan efisiensi administrasi, mempercepat pelayanan publik, dan memungkinkan pengelolaan data berbasis bukti yang mendukung perencanaan pembangunan desa berkelanjutan. Studi ini merekomendasikan optimalisasi SID dengan integrasi analitik data dan keamanan informasi untuk meningkatkan daya guna dalam tata kelola desa. Kata Kunci: digitalisasi desa; sistem informasi desa; tata kelola pemerintahan; SDGs; desa kuta mbelin
OPTIMALISASI VALIDITAS KLASTERISASI IPM MELALUI PENERAPAN VARIASI DISTANCE MEASURE PADA ALGORITMA K-MEANS++ Sipayung, Sardo Pardingotan; Efendi, Syahril
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.5420

Abstract

Abstract: The Human Development Index (HDI) is an important indicator for measuring the quality of regional development through the dimensions of health, education, and decent living standards. In North Sumatra Province, HDI achievements between districts/cities still show significant disparities, requiring a data-based analytical approach to map development patterns objectively. This study aims to optimize the validity of regional HDI clustering through the application of the K-Means++ algorithm with distance measure variations. This study uses a quantitative approach with an unsupervised learning method. The data analyzed includes HDI, Average Length of Schooling (ALS), and Adjusted Per Capita Expenditure sourced from the Central Statistics Agency. The research stages include data preprocessing and standardization, determining the optimal number of clusters using the Elbow method, applying the K-Means++ algorithm, and evaluating cluster quality using the Davies–Bouldin Index (DBI) and Purity Index. In addition, a comparison of clustering performance based on Euclidean, Manhattan, and Cosine distances was conducted. The results of the study show that the optimal number of clusters is three clusters representing high, medium, and low levels of human development. A DBI value of 0.60 and a Purity Index of 0.61 indicate good clustering quality. Euclidean and Manhattan distances produced the best performance compared to Cosine distance. Keyword: Human Development Index; K-Means++; Clustering; Distance Measure; Davies–Bouldin Index; Purity Index. Abstrak: Indeks Pembangunan Manusia (IPM) merupakan indikator penting untuk mengukur kualitas pembangunan wilayah melalui dimensi kesehatan, pendidikan, dan standar hidup layak. Di Provinsi Sumatera Utara, capaian IPM antar kabupaten/kota masih menunjukkan ketimpangan yang cukup signifikan, sehingga diperlukan pendekatan analitis berbasis data untuk memetakan pola pembangunan secara objektif. Penelitian ini bertujuan untuk mengoptimalkan validitas klasterisasi IPM wilayah melalui penerapan algoritma K-Means++ dengan variasi distance measure. Penelitian ini menggunakan pendekatan kuantitatif dengan metode unsupervised learning. Data yang dianalisis meliputi IPM, Rata Lama Sekolah (RLS), dan Pengeluaran per Kapita Disesuaikan yang bersumber dari Badan Pusat Statistik. Tahapan penelitian mencakup praproses dan standarisasi data, penentuan jumlah klaster optimal menggunakan metode Elbow, penerapan algoritma K-Means++, serta evaluasi kualitas klaster menggunakan Davies–Bouldin Index (DBI) dan Purity Index. Selain itu, dilakukan perbandingan kinerja klasterisasi berdasarkan Euclidean, Manhattan, dan Cosine distance. Hasil penelitian menunjukkan bahwa jumlah klaster optimal adalah tiga klaster yang merepresentasikan tingkat pembangunan manusia tinggi, menengah, dan rendah. Nilai DBI sebesar 0,60 dan Purity Index sebesar 0,61 menunjukkan kualitas klasterisasi yang baik. Euclidean dan Manhattan distance menghasilkan performa terbaik dibandingkan Cosine distance. Kata kunci: Indeks Pembangunan Manusia; K-Means++; Klasterisasi; Distance Measure; Davies–Bouldin Index; Purity Index.
Sentiment Analysis of Food Order Tweets to Find Out Demographic Customer Profile Using SVM Syahril Efendi; Poltak Sihombing
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 3 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i3.1898

Abstract

The use of online food ordering through food systems or applications continues to increase, requiring vendors to implement marketing and sales strategies through surveys, feedback. The problems that arise are building a system analysis model from a collection of tweets with hashtags or usernames for ordering food online . The Support Vector Machine (SVM) algorithm is used for text classification. Tweets are collected into data sets, training data, and testing data, then a classification model of the SVM Algorithm is built. Preprocessing data, tweets are cleansing, tokenized, and stopword remove. From the collected tweets, they are grouped into 10 variables to identify demographic profiles. The results of the analysis are classified as positive sentiments, namely residence, price range, using promos, paid types, halal food while negative sentiments are ethnicity, culture, vegetarianism, place. Classification accuracy is important to validate the results of the SVM model. From 500 train data tweet, the resulting classification is 66% positive sentiment and 34% negative sentiment. Overall accuracy model Linier SVM result 83.2% with accuracy 92.55%.
Model Dynamic Facility Location in Post-Disaster Areas in Uncertainty lili Tanti; Syahril Efendi; Maya Silvi Lydia; Herman Mawengkang
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 22 No. 1 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i1.2095

Abstract

Indonesia has many disaster-prone areas, natural disasters that occur in Indonesia in 2021 are 5,402 disasters. For disaster management in post-disaster areas, logistical planning is needed in the distribution of logistical assistance, it is estimated that the logistics costs of disaster assistance reach approximately 80% of the total costs in disaster management so that logistical assistance is an expensive activity of disaster relief. However, so far the process of distributing logistical assistance to disaster posts has not been evenly distributed. One of the causes of the unequal distribution is the inappropriate selection of distribution post locations. The facility location model is dynamic and has the objective function of minimizing the distance between emergency posts and refugee posts in terms of distribution of disaster relief goods in one cluster group. For grouping unsupervised learning data using a machine learning clustering algorithm, k-means. Model validation has been carried out using max run and max optimization 1000 times with results reaching 90%. This proves that the emergency facility location model can be used to determine the location of the emergency center, where the determination of the location of the emergency center has the closest distance to the request point/post shelter for disaster victims
Co-Authors Abdulbasah Kamil, Anton Abi Rafdi Ahmad Rozy Ahmadi, Fauzan Nur Al Khowarizmi Aminuyati Andysah Putera Utama Siahaan Arjon Turnip Asrizal Asrizal Badawi, Afif Br Bangun, Desy Milbina Br Ginting, Dewi Sartika Budi K. Hutasuhut Chairil Umri Dadang Priyanto Devi Maiya Sari Nasution Dewi Sartika Br Ginting Erna Budhiarti Erna Budhiarti Nababan Erna Budhiarti Nababan Fahmi Fahmi Fajar Muhajir Fatma Sari Hutagalung Fauzan Nurahmadi Fauzi Amri Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Ginting, Dewi Sartika Br Halim Maulana Hamzani, Fitri Rezky Harahap, Lailan Hariyati Lubis, Hariyati Harumy, T. Henny Febriana Hasibuan, Nisma Novita Hasugian , Paska Marto Hengki Tamando Sihotang Hengki Tamando Sihotang Herianto, Tulus Joseph Herimanto Herimanto Herman Mawengkang herman mawengkang Hotmaida Lestari Siregar Ichsanuddin Hakim Ignazio Ahmad Pasadana Iin Parlina Imanuel Zega Indah Purnama Sari Indra Edy Syahputra Irzal Sofyan Ivan Jaya Jaya, Ivan Khowarizmi, Al- Lailan Harahap Lidya Rosnita lili Tanti Lubis, Fahrurrozi M Safii M. Isa Indrawan Mahyuddin K. M Nasution Manurung, Rodiyah Aini Mardiansyah, Heru Marischa Elveny, Marischa Maya Silvi Lydia Mesran, Mesran Mochamad Wahyudi Mohammad Andri Budiman Muhammad Iqbal Muhammad Iqbal Muhammad Riki Atsauri Muhammad Rusdi dan Afritha Amelia - Muhammad Zarlis Muhammad Zarlis Muhammad Zarlis Muhammad Zarlis Muhammad Zarlis Muhammad Zarlis Muhammad Zarlis, Muhammad Muliawan Firdaus Mulkan Azhari Naemah Mubarakah Nainggolan, Pauzi Ibrahim Nugroho Syahputra Oktaviana Bangun Pahala Sirait Pauzi Ibrahim Nainggolan Poltak Sihombing Poltak Sihombing Poltak Sihombing Poltak Sihombing Poltak Sihombing Poltak Sihombing Prayoga, Nanda Dimas Purwanto Purwanto Rahmad Syah Rika Permata Sari Siregar Rizki Suwanda Saib Suwilo Santoso, Zikri Akmal Saraswati Yoga Andriyani Sarif, Muhammad Irfan Sawaluddin Sawaluddin Sembiring, Rahmat W Seniman Seniman Seniman Seniman, Seniman Siagian, Deliyana Simamora, Windi Saputri Sipayung, Sardo Pardingotan Solly Aryza Sri Dwi Hastuti Sri Melvani Hardi Suherman Suherman Suherman, Suherman Sutarman Sutarman Sutarman Sutarman Syah, Rahmad B. Y. Syahputra, Indra Edy Syahputra, Muhammad Romi Syahraini, Syahraini Syahriol Sitorus T. Henny Febriana Harumy Taufiqurrahman Taufiqurrahman Tulus Joseph Herianto Tulus Tulus Tulus Tulus Vinsensia, Desi Watts, Michael J. Weber, Gerhard Wilhelm yeni absah Yeni Absah Yudhistira Yudhistira Yudhistira Zakarias Situmorang Zuhri Ramadhan Zulkarnain Lubis