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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Al Ishlah Jurnal Pendidikan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL MEDIA INFORMATIKA BUDIDARMA Syntax Literate: Jurnal Ilmiah Indonesia Indonesian Journal of Artificial Intelligence and Data Mining JITK (Jurnal Ilmu Pengetahuan dan Komputer) IJIS - Indonesian Journal On Information System Jurnal Teknologi Sistem Informasi dan Aplikasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi 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 Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Environmental Science and Sustainable Development Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Teknologi Informatika dan Komputer Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal of Artificial Intelligence and Robotics (IJAIR) International Journal of Engineering, Science and Information Technology Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Manajemen Informatika Jayakarta Jurnal Widya Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta Jurnal Mandiri IT Jurnal Sains dan Teknologi Widyaloka (JSTekWid) International Journal of Informatics, Economics, Management and Science INTERNATIONAL JOURNAL OF MECHANICAL COMPUTATIONAL AND MANUFACTURING RESEARCH Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Prosiding SeNTIK STI&K Jurnal Ilmiah Ilmu Komputer dan Teknologi Informasi (JIKOMTI) Jurnal Teknik Elektro
Verdi Yasin
STMIK JAYAKARTA
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 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 Mechanical Engineering Neuroscience Physics Social Sciences Transportation Other

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Design of a Printing Production Cost Information System Using the Activity Based Costing Method H, Rizky Putra Perdana; Yasin, Verdi; Sianipar, Anton Zulkarnain
Jurnal Teknologi Informatika dan Komputer Vol. 11 No. 2 (2025): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v11i2.2749

Abstract

In an era of increasingly competitive business competition, the use of information technology has become a crucial aspect in supporting the efficiency and effectiveness of company operations. Especially for companies engaged in the manufacturing sector, accurate management of production costs is an important basis for determining selling prices and maintaining competitiveness in the market. Increasingly fierce business competition demands companies to have an efficient and accurate cost management system, especially in the manufacturing industry. PT Anggadarma Kalimusada, as a printing company, faces challenges in calculating production costs accurately because it still uses manual methods. This study aims to design a web-based production cost information system by applying the Activity Based Costing (ABC) method to improve accuracy in determining the cost of goods manufactured. The research method used is descriptive qualitative with a Waterfall model software development approach. The system was developed using the PHP Laravel framework and a MySQL database. The research results show that the system is capable of identifying activities, allocating cost drivers, and accurately calculating production costs per unit. The system also provides features for activity input, cost driver recording, production cost calculations, and cost of goods manufactured reports. By implementing the ABC method, this system provides more representative cost information and serves as a basis for managerial decision-making. This system is expected to help companies improve efficiency, transparency, and accountability in managing production costs.
Design and Implementation of Network and Server Monitoring Using Zabbix at The Financial and Development Supervisory Agency Irianto, Denna; Yasin, Verdi; Sianipar, Anton Zulkarnain
Jurnal Teknologi Informatika dan Komputer Vol. 11 No. 2 (2025): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v11i2.2756

Abstract

In today's digital era, network and server reliability are key factors in the smooth operation of an organization/institution. The Financial and Development Supervisory Agency (BPKP), as an institution that carries out government duties in the field of financial and development supervision, requires an efficient monitoring system to ensure the continuity of services and security of IT infrastructure to maintain the sustainability of the audit system, consultation, assistance, and evaluation of the results of supervision that will be reported to the President as Head of Government. The Financial and Development Supervisory Agency (BPKP) requires a good network and server monitoring system to maintain the availability and performance of IT services. The problem faced is the lack of real-time visibility into the condition of the IT infrastructure, which can hinder early detection of system disruptions or anomalies. This research aims to design and implement a network and server monitoring system using Zabbix as an open-source solution that is able to monitor performance, availability, and provide automatic notifications when failures occur. The methods used include literature review, needs analysis, system architecture design, Zabbix Server and Agent implementation, and system testing in the BPKP environment. The implementation results show that Zabbix is capable of providing comprehensive data visualization, real-time monitoring, and an effective alert system. In conclusion, the implementation of Zabbix has successfully increased efficiency in IT infrastructure management at BPKP and can be used as a basis for developing broader monitoring for all BPKP representatives.
Android-Based Stock Opname Application Development with SQLite and Firebase Maulana, Ishaq; Yasin, Verdi; Yulianto, Akmal Budi
Jurnal Teknologi Informatika dan Komputer Vol. 11 No. 2 (2025): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v11i2.2786

Abstract

Stocktaking, or stock data matching, is a crucial activity in inventory management within a company. Through this process, the stock data recorded in the system is compared with the physical conditions in the field (Jims, 2023). This activity not only aims to ensure data accuracy (Tarigan, 2021) but also serves as an integral part of internal control within the company's supply chain. PT Multilindo Surya Cemerlang is a company engaged in the distribution and sales of electronic goods. Stocktaking is a crucial component in maintaining the accuracy of a company's inventory data. However, at PT Multilindo Surya Cemerlang, this process is still performed manually by recording on paper and then re-entering it into a computer. This method is quite time-consuming and carries the risk of recording errors. Therefore, this study aims to develop an Android-based application that can assist the stocktaking process directly in the field. The application is designed with SQLite database support for local storage and Firebase for online data storage and synchronization. The development was conducted using the SDLC (System Development Life Cycle) model with a waterfall approach, encompassing the stages of requirements analysis, system design, implementation, testing, and maintenance. Trial results demonstrated that the application was able to assist staff in recording stock more quickly and accurately, as well as simplifying the overall inventory data recapitulation process.
Analisis dan Perancangan Sistem Informasi Berbasis Website di Bebras Biro Universitas Dr. Soetomo Mustafa, Zulfikar Amirul; Vitianingsih, Anik Vega; Kristyawan, Yudi; Lidya Maukar, Anastasia; Yasin, Verdi
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 2 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i2.38767

Abstract

Universitas Dr. Soetomo holds a free challenge event every year. However, there is no application that helps with student data collection, activities and scoring assessment results because it still uses Microsoft Office Excel. In addition, there is no data processing such as graphs that report which schools each year participate in the competition and which students receive the highest scores in the free challenge. The Waterfall method is used to create a more organized web-based information system to overcome this problem. A clear framework is provided by this method from needs analysis to implementation. In addition to simplifying the registration and competition assessment process, this system provides educators, students and organizers with direct access to information. The results show increased efficiency, accessibility and transparency, and that this method helps improve quality and engagement in Bebras competitions. This shows that the appropriate use of information technology can significantly improve the quality of education.
Penerapan Machine Learning dalam Pengelompokan Pelanggan Menggunakan K-Means Clustering untuk Meningkatkan Strategi Pemasaran PT Maspion Pratama, Bimas Ihsan; Yasin, Verdi; Junaedi, Irfan; Sianipar, Anton Zulkarnain; Zulhalim, Zulhalim
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i4.56914

Abstract

This study aims to enhance PT Maspion's marketing strategy effectiveness by clustering customers using the K-Means Clustering algorithm. By leveraging customer transaction data, this research successfully grouped customers into four clusters based on their purchasing patterns. Each cluster was analyzed to identify key characteristics and provide relevant marketing strategy recommendations, such as volume-based discounts, personalized services, and loyalty programs. The results indicate that implementing K-Means Clustering helps PT Maspion better understand customer needs, increase loyalty, and optimize company revenue. This study offers practical contributions to the company and enriches academic literature on the application of machine learning in marketing.
Perancangan Aplikasi E-Cuti Berbasis Web Menggunakan Framework Codeigniter Yanto, Sudi Ari; Yasin, Verdi; Sianipar, Anton Zulkarnain
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i4.57654

Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi e-cuti berbasis web menggunakan framework CodeIgniter guna memfasilitasi proses pengajuan, persetujuan, dan manajemen cuti karyawan di The Krakatau Grand Ballroom. Metode penelitian yang digunakan adalah Research and Development (R&D) dan Rapid Application Development (RAD) untuk memastikan pengembangan aplikasi yang efisien dan sesuai kebutuhan pengguna. Tahapan penelitian meliputi analisis kebutuhan, perancangan sistem menggunakan diagram UML (Use Case Diagram, Activity Diagram, Sequence Diagram, dan Class Diagram), implementasi aplikasi dengan bahasa pemrograman PHP, HTML, CSS, JavaScript, dan database MySQL, serta pengujian fungsional menggunakan metode Black Box Testing. Hasil penelitian menunjukkan bahwa aplikasi ini berhasil memenuhi kebutuhan karyawan, manajer, dan admin, dengan fitur utama seperti pengajuan cuti online, persetujuan cuti oleh manajer, dan manajemen data karyawan. Aplikasi ini juga meningkatkan efisiensi proses cuti, mengurangi risiko kehilangan data, dan memberikan transparansi informasi. Dengan demikian, aplikasi e-cuti ini diharapkan dapat menjadi solusi efektif untuk manajemen cuti yang lebih terintegrasi dan responsif.
The Application of the Fletcher-Reeves Algorithm to Predict Spinach Vegetable Production in Sumatra Ardha, Mhd. Zoel; Yasin, Verdi; Solikhun, Solikhun
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 2 No. 1 (2023): March 2023
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v2i1.2417

Abstract

Determination of spinach plant predictions is one of the most critical decision-making processes. In predicting spinach plants in each period, it depends on each period, both the previous and subsequent periods. The production of spinach plants that change every period causes uncertainty in predicting. The method used to indicate the data is the Fletcher-Reeves algorithm, it is an appropriate development technique compared to the backpropagation strategy because this strategy can speed up the preparation time to arrive at the minimum convergence value. This paper does not discuss the prediction results. Still, it discusses the ability of the Fletcher-Reeves algorithm to make predictions based on the spinach production dataset obtained from the Central Statistics Agency. The purpose of this research is to see the accuracy and performance measurement of the algorithm in the search for the best results to solve the prediction of spinach plants in Sumatra. The research data used are spinach vegetable production data in North Sumatra. Based on this data, a network architecture model will be formed and determined, including 2-20-1, 2-30-1, 2-35-1, 2-45-1, and 2-50-1. After training and testing, these five models show that the best architectural model is 2-20-1 with an MSE value of 0.00608399, the lowest among the other four models. So the model can be used to predict spinach plants in Sumatra.A well-prepared abstract enables the reader to identify the basic content of a document quickly and accurately, to determine its relevance to their interests, and thus to decide whether to read the document in its entirety.
IMPACT OF URBAN DEVELOPMENT ON UV EXPOSURE: A CLUSTERING AND MACHINE LEARNING ASSESSMENT Sahroni, Taufik Roni, Mr.; Yasin, Verdi; Alfaris, Lulut; Ariefka, Reza; Siagian, Ruben Cornelius; Karim, Mohammad Alfin; Rahdiana, Nana; Suhara, Ade
Journal of Environmental Science and Sustainable Development Vol. 7, No. 2
Publisher : UI Scholars Hub

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

Abstract

The relocation of Indonesia's capital city is anticipated to promote inclusive economic growth while embracing cultural diversity. However, this transition may affect ultraviolet (UV) radiation exposure patterns. The study investigated variations in UV exposure in the IKN region, focusing on urban development factors such as land use and population density that affect public health, sun protection, and skin cancer prevention. The research hypothesized that UV radiation is significantly correlated with these factors. UV Index data from 2010-2023, a hierarchical clustering method, identifies complex data patterns without determining the number of clusters. XGBoost, a machine learning model, was used for handling high-dimensional data and strong non-linear interactions, outperforming Random Forest in predicting Ultraviolet A variables. Analysis of variance (ANOVA) showed significant inter-group differences, which were validated by Tukey HSD post-hoc tests. Results showed that Cluster 4 was the region with the highest UV exposure. In contrast, Cluster 5 recorded the lowest, with exposure levels ranging from 6.61 to 15.82, a considerable difference of 9.21. The findings underscore the role of geographic and environmental factors in shaping UV exposure patterns, with implications for public health. Areas with high UV exposure face higher risks, including skin cancer and premature ageing. The predictive accuracy of the XGBoost model highlights its usefulness in addressing UV-related health risks. The study advocates for improved UV protection strategies and informed health policies to mitigate climate change impacts and promote sustainable urban development. The findings suggest that the development of data-driven early warning systems for UV radiation exposure could be implemented to improve public health policy and safety.
Digital Transformation in Public Sector Institutions: A Systematic Literature Review and Comparative Country Analysis Riyanto Wujarso; Arief Rahman Hakim; Nurul Faizah; Verdi Yasin; Revan Andhitiyara
AL-ISHLAH: Jurnal Pendidikan Vol 17, No 4 (2025): DECEMBER 2025
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v17i4.8765

Abstract

Digital transformation has become a strategic priority for governments seeking to enhance efficiency, service quality, and citizen engagement. Despite growing interest, empirical and conceptual insights remain fragmented. This study aims to systematically synthesize existing research on digital transformation in the public sector and to identify key benefits, challenges, and implementation approaches. Following PRISMA guidelines, a systematic literature review was conducted using reputable academic databases and official government sources. A total of 28 empirical and conceptual studies met the predefined inclusion criteria. The selected studies were analyzed using thematic analysis to extract recurring patterns, governance contexts, and strategic implications. The findings indicate that digital transformation in government yields significant benefits, including improved cost efficiency, enhanced public service delivery, and greater citizen participation. Cross-country evidence from cases such as Singapore, Australia, and South Korea demonstrates that governance structures, institutional capacity, and policy alignment critically influence the design and outcomes of digital initiatives. However, persistent challenges remain, notably data security and privacy risks, limited resources, and resistance to organizational change. Based on the synthesized evidence, this study proposes a Citizen-Centric Adaptive Model that emphasizes iterative development, data-driven decision-making, and participatory engagement. The study concludes that digital transformation represents a strategic opportunity for governments to improve effectiveness and public satisfaction, while offering practical guidance for policymakers seeking to modernize public sector operations.
PERANCANGAN APLIKASI PREDIKSI PENJUALAN KASUR DENGAN REGRESI LINEAR Rahmawati, Nia; Yasin, Verdi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5854

Abstract

Abstract: In the retail and manufacturing industries, intense competition requires companies to make swift and precise decisions to maintain or increase profitability. Accurate sales forecasting is a fundamental key to the sustainability and growth of mattress retail businesses. Rising sales volumes also impact warehouse stock requirements; however, difficulties in identifying customer demand trends can lead to potential stockouts, where specific products requested by customers cannot be fulfilled. This increase in customer demand and sales volume must be balanced with effective inventory management strategies to ensure all customer requirements are met. Consequently, this research utilizes Data Mining to predict sales patterns and customer demand through a Simple Linear Regression approach to address these challenges. Sales predictions are analyzed using the Simple Linear Regression algorithm, while the Root Mean Squared Error (RMSE) is employed to measure forecasting error. Based on the testing results, the RMSE value for product Kasur 90X200 was found to be 2.5295. The implementation of this Data Mining application is expected to provide valuable insights for business owners to optimize warehouse inventory levels, thereby supporting enhanced product marketing and sales strategies. Keywords: Data mining, Linear Regression, Sales, Forecasting, Stock Abstrak: Dalam industri ritel dan manufaktur, tingkat persaingan yang ketat menuntut perusahaan untuk mengambil keputusan yang cepat dan tepat untuk mempertahankan atau meningkatkan keuntungan. Prediksi penjualan yang akurat menjadi kunci utama bagi keberlangsungan dan pertumbuhan toko kasur. Peningkatan penjualan juga berimpact pada tuntutan akan ketersediaan stock di gudang, dimana hal ini berpengaruh pada sulit untuk menentukan trend permintaan pelanggan, sehingga potensi beberapa produk yang diminta oleh pelanggan tidak dapat dipenuhi. Meningkatnya permintaan pelanggan dan volume penjualan tersebut harus diimbangi dengan strategi penyediaan barang di gudang agar setiap permintaan pelanggan dapat terpenuhi. Atas dasar hal itu maka perlu kiranya dilakukan penelitian dengan memanfaatkan Data Mining untuk dapat memprediksi pola penjualan dan permintaan pelanggan dengan pendekatan Regresi Linear sederhana sehingga didapatkan solusi atas permasalahan yang terjadi tersebut. Prediksi penjualan diteliti dengan menggunakan algoritma regresi linear sederhana dan nilai error yang digunakan untuk mengukur kesalahan peramalan yaitu Root Mean Squared Error (RMSE). Berdasarkan hasil pengujian nilai RMSE untuk produk Kasur 90X200 sebesar 2,5295. Hasil implementasi dari aplikasi Data Mining ini diharapkan dapat menjadi masukan bagi pemilik usaha untuk meningkatkan ketersediaan barang di gudang sehingga peningkatan pemasaran produk dan strategi penjualan dapat tercapai. Kata kunci: Data Mining, Regresi Linear, Penjualan, Prediksi, Stok
Co-Authors Abdi Moissa Adi Mardian Adit Bagas Kurniawan Agus Sulistiyanto, Agus Agus Sulistyanto Ahmad Gozali Akmal Budi Yulianto Akmal Budi Yulianto Alfathir Ibnu Lianzah Anastasia Lidya Maukar Andri Agustiana Andri Agustiana Angali, Fransiska Warkop Anggeri S. Nurjaman Anik Vega Vitianingsih Anik Vega Vitianingsih Anindra Ramdhan Nugraha Anis Rohmadi Anton Zulkarnain Sianipar Ardha, Mhd. Zoel Ardyansyah Putra Pratama Arie Purwanto Arief Rahman Hakim Ariefka, Reza Arif Sudrajat Asih Septia Rini Asih Septia Rini Asih Septia Rini Azhar Ahmad Riza Benni Triyono Dana Abdulrachman Dewi Astria Wiyono Dewi Nari Ratih Permada Diah Aryani, Diah Dimas Abdillah Dimas Prasetyo Tegar Asmoro Dimas Prasetyo Tegar Asmoro Dinda Yadini Donni Nasution Dwi Novia Satriana Dwi Oktaviyani Dyta Malini Dyta Malini Erna Budhiarti Nababan Fajar Hanggara Pratama Febri Wulandari FX. Kristianto Gina Mulyani H, Rizky Putra Perdana Hadi Iswanto Haikal Munawir Hamidah Hamidah Haposan Sitorus Haposan Sitorus Hariyanto, Ferry Harlinda Syofyan Hasbullah, M.Imam Hendry Muhammad Ali Heriyanto Herry Wira Wibawa Ihramsyah Ihramsyah Ikhsan Triputra Aditya Imam Mahfud Irianto, Denna Ishaq Maulana, Ishaq Ito Riris Immasari Jajang Murpratomo Jaya, Hikmah Gusdin Putra Jazaudhi’fi, Ahmad Jenni Sabarina Br Sitepu Johan Johan Johan Johan Julinda Maya Paramudita Julius Sitanggang Junaedi, Ifan Junaedi, Irfan Karim, Mohammad Alfin Kemas Hasyim Azhari Khairul Imam Kurniadi, Andry Kurniawan, Asep Rizal Lidya Maukar, Anastasia Lulut Alfaris Mahyuddin K. M Nasution Malun, Nicholaus Ola Manuel Rizal Sanuari Mardiono Mardiono Mardiyati, Sri - Maulia Usnaini Mega Wahyuningsih Mesa Abdilah Mezzaluna Adzahra Mhd. Zoel Ardha Miftahudin Rifki Mochammad Alif Pratama Muhamad Fikri Paturahman Muhammad Aulia Rizki Muhammad Hendriawan Muhammad Zarlis Muhammad Zarlis Muhammad Zarlis Muhammad Zarlis Muhammad Zhafif Al Fatchi Muryan Awaludin Mustafa, Zulfikar Amirul Nai Dwi Rattikawati Nai Dwi Rattikawati Nandang Mulyana Narji, Mohammad Nawawi Halik Ndaru Nuswantari Nia Rahmawati, Nia Nuril Qomaryah Nurul Faizah Peniarsih, Peniarsih Poltak Sihombing Pratama, Bimas Ihsan Putra, Rahmadika Roma Putra, Syahrizal Dwi Putri Setiani Putri, Natasya Kurnia Rachmat Rachmat Rachmat Rachmat Rachmawati, Lupita Chyntia Rachmawaty Haroen Rachmawaty Haroen Rahdiana, Nana Raynard Jonathan Rendi Sukmawan Revan Andhitiyara Rian Arya Dwi Pangestu Rica Fardilah Rionaldy, Rizqy Riska Mahlia Riyanto Wujarso Rizky Fitrah Ramadhony Rodhiyah Desviana Ruben Cornelius Siagian Rumadi Hartawan Sahroni, Taufik Roni, Mr. Septian Cahyadi Siagian, Ruben Cornelius Sianipar, Anton Zulkarnaen Slamet Kacung, Slamet Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun, Solikhun Sri Purwanti Sugiyono Sugiyono Suhara, Ade Sulistyanto, Agus Syafiyudin Maulana Tato, Karolina Teguh Prianto Teguh Setiadi Thomas Budiman Timbo Faritcan Parlaungan Siallagan Tio Syahril Tomi Loveri Tulus Tulus Udin Hidayat Ullum, Choirul Usman Gultom Wahidin Wahidin Wati, Seftin Fitri Ana Wibowo, Firdaus Andi Wibowo, Kuncoro Wifsdsnu Arif Nuryansyah Yanto, Sudi Ari Yoga Niscahyo Yudi Kristyawan, Yudi Yulianto, Tomi Yusra Fernando Zalukhu, Desiani Zulfenris Manurung Zulfian Azmi Zulhalim, Zulhalim