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Kifti, Wan Mariatul
Universitas Royal
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IMPLEMENTASI ALGORITMA MOORA UNTUK PEMILIHAN BIBIT CABAI UNGGUL DI KOTA TANJUNGBALAI BERBASIS WEB Wahyudi, Imam; Kifti, Wan Mariatul; Sudarmin, Sudarmin
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol. 1 No. 2 (2021): June 2021
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v1i2.1179

Abstract

Abstrack:Chili is one type of plant that is widely planted by the community. Chili becomes a vegetable that has high economic value. However, farmers still use traditional methods in determining the chili seeds to be planted. Just as farmers choose chili seeds based only on chili seeds at a low price, so it is less able to overcome various pests that allow yields to fall. Of course this will have an impact on the lack of sale prices of crops. to carry out a research process by applying technology that can increase the yield of chilli crops through the application of a Decision Support System. The method used is the MOORA method which is one of the methods of a decision support system. Through the application of this method, researchers will compare each type of chilli seedlings based on criteria that will determine which chili is said to be superior. So that it will produce an information about the types of superior chili seeds based on all the existing criteria. Through the creation of a web-based system / application for the selection of superior chilli seedlings, farmers in Indonesia have broad access to take advantage of the results of future research making it easier for farmers to know which chili seeds are superior.The results of this study obtained the most superior chili with the highest value of 0.469, namely large red chilies. So what is the result of the recommendation for the implementation of this MOORA method is large red chili. Keywords:Decision Support System; MOORA Method; Chili Seed Abstrak: Cabai merupakan salah satu jenis tanaman yang banyak ditanam masyarakat. Cabai menjadi sayuran yang memiliki nilai ekonomis yang tinggi. Akan tetapi petani masih meng- gunakan cara tradisional dalam menentukan bibit cabai yang akan ditanam. Seperti halnya petani memilih bibit cabai hanya berdasarkan bibit cabai dengan harga yang murah, sehingga hal tersebut kurang mampu mengatasi berbagai hama yang memungkinkan hasil panen menjadi turun. Tentu hal tersebut akan berdampak pada kurangnya harga jual hasil panen. untuk melakukan proses penelitian dengan menerapkan teknologi yang dapat meningkatkan hasil panen tanaman cabai melalui penerapan Sistem Pendukung Keputusan. Metode yang digunakan adalah metode MOORA yang merupakan salah satu metode dari sistem pendukung keputusan. Melalui penerapan metode ini, peneliti akan membandingkan setiap jenis bibit cabai ber- dasarkan kriteria yang akan menentukan suatu cabai dikatakan unggul. Sehingga hal tersebut akan menghasilkan sebuah informasi tentang jenis bibit cabai unggul berdasarkan semua kriteria yang ada. Melalui pembuatan sistem/aplikasi berbasis web untuk pemilihan bibit cabai unggul ini, maka para petani di Indonesia memiliki akses luas untuk memanfaatkan hasil penelitian nantinya sehingga memudahkan para petani mengetahui bibit cabai yang unggul. Hasil dari penelitian ini mendapatkan hasil cabai yang paling unggul dengan nilai tertinggi 0,469 yaitu cabai merah besar. Kata Kunci:Sistem Pendukung Keputusan; Metode MOORA;Bibit Cabai
TEKNIK DATA MINING MENGGUNAKAN METODE K-MEANS UNTUK MENGCLUSTER DAN PENCARIAN BUKU DI PERPUSTAKAAN DAERAH KABUPATEN ASAHAN Gustin, Sela; Ramdhan, William; Kifti, Wan Mariatul
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 3 (2022): OCTOBER 2022
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v2i3.1901

Abstract

Abstract: The Asahan Regency Regional Library and Archives is one of the government agencies that has used a computer-based information system but only on the visitor data system. In the book search process, most visitors find it difficult to find the right reference book according to their needs. Therefore we need a system that can simplify and speed up the search for the book. One of them is by grouping books so that the search process will be faster, easier, and more accurate. By designing an information system that can assist the library in managing library materials in the form of grouping books using the K-Means method to facilitate the arrangement of books into shelves, making it easier for visitors to find library materials quickly and easily and further improve the quality of library services. This application was built using the PHP programming language, MySQL database, and using the K-Means method. By implementing the K-Means method, a clustering and search application is produced in the Regional Library and Archives of Asahan Regency.  Keywords: Libraries, clusters, K-means, PHP and MySQL  Abstrak: sudah memakai sistem informasi berbasis komputer tetapi hanya pada bagian sistem data pengunjung. proses pencarian buku, kebanyakan penggunjung sulit mendapatkan buku referensi yang tepat sesuai dengan kebutuhan mereka. Maka dari itu diperlukan suatu sistem yang dapat mempermudah dan mempercepat pencarian buku tersebut. Salah satunya dengan pengelompokkan buku sehingga proses pencariannya akan lebih cepat, mudah, dan akurat. Dengan membuat perancangan sistem informasi yang dapat membantu pihak perpustakaan dalam mengelola bahan pustaka dalam bentuk pengelompokkan buku menggunakan metode K-Means untuk memudahkan penataan buku ke dalam rak sehingga memudahkan pengunjung dalam pencarian bahan pustaka dengan cepat dan mudah serta lebih meningkatkan mutu pelayanan perpustakaan. Aplikasi ini dibangun menggunakan bahasa pemrograman PHP, database MySQL, dan menggunakan metode K-Means. Dengan mengimplementasikan metode K-Means, maka dihasilkan sebuah aplikasi pengclusteran dan pencarian di Perpustakaan Dan Kearsipan Daerah  Kabupaten Asahan.Kata Kunci:  Perpustakaan; cluster; K-means; PHP dan MySQL.
ANALISIS PERAMALAN PERSEDIAAN STOK SEPEDA MOTOR BEKAS DENGAN PENERAPAN METODE SES STUDI KASUS SHOWROOM METRO MOTOR KISARAN Mayang Sari, Windy Astika; Efendi, Bachtiar; Kifti, Wan Mariatul
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 3 (2022): OCTOBER 2022
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v2i3.1903

Abstract

Abstract: Forecasting is an activity to predict future conditions by using past conditions testing. In forecasting there are many methods that can be used, the method used in this study is the Single Exponential Smoothing method. The Single Exponential Smoothing method is a moving average forecasting method where the data will be weighted that is sophisticated but still easy to use by an exponential function. The time parameter used in forecasting the stock inventory of used motorcycles is alpha 0.1 to 0.9, by finding the value error randomly until it finds the smallest alpha value. From the research that has been done, the results of the calculation of alpha (weight of the smoothing constant) used in forecasting the inventory of used motorcycles are: motorbike matic 0.2, motorbike 0.2, motorbike matic 0.6 because it has a very small error value Keywords : Forecasting; Showroom Metro Motor; stock. Abstrak: Peramalan (forecasting) merupakan suatu kegiatan untuk meramalkan keadaan dimasa yang akan datang dengan menggunakan pengujian keadaan dimasa lalu. Dalam peramalan terdapat banyak metode yang bisa digunakan, metode yang digunakan dalam penelitian ini adalah metode Single Exponential Smoothing. Metode Single Exponential Smoothing merupakan metode peramalan rata-rata bergerak dimana data akan diberi pembobotan yang canggih tetapi masih mudah untuk digunakan oleh sebuah fungsi exponential. Adapun parameter waktu yang digunakan dalam meramalkan persediaan stok sepeda motor bekas yaitu alpha 0.1 sampai 0.9, dengan mencari nilai error secara acak sampai menemukan nilai alpha yang terkecil. Dari penelitian yang telah dilakukan, didapatkan hasil perhitungan alpha (bobot konstanta penghalus) yang digunakan pada peramalan persediaan sepeda motor bekas yaitu : motor matic 0.2, motor bebek 0.2, motor matic 0.6 karena memiliki nilai error yang sangat kecil. Kata Kunci : Peramalan; Showroom Metro Motor; Persediaan.Kata Kunci : Peramalan, Showroom Metro Motor, Persediaan   ABSTRACT Forecasting is an activity to predict future conditions by using past conditions testing. In forecasting there are many methods that can be used, the method used in this study is the Single Exponential Smoothing method. The Single Exponential Smoothing method is a moving average forecasting method where the data will be weighted that is sophisticated but still easy to use by an exponential function. The time parameter used in forecasting the stock inventory of used motorcycles is alpha 0.1 to 0.9, by finding the value error randomly until it finds the smallest alpha value. From the research that has been done, the results of the calculation of alpha (weight of the smoothing constant) used in forecasting the inventory of used motorcycles are: motorbike matic 0.2, motorbike 0.2, motorbike matic 0.6 because it has a very small error value. Keywords : Forecasting, Showroom Metro Motor, stock
Optimalisasi Sistem Scm Untuk Pengelolaan Stok Barang Di Toko Semangat Arju Devpriandi Siahaan; Lubis, Adi Prijuna; Kifti, Wan Mariatul
J-Com (Journal of Computer) Vol. 5 No. 3 (2025): NOVEMBER 2025
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v5i3.4065

Abstract

Abstract: Semangat Store, a rapidly growing retail store in Kisaran, faces challenges in inventory management due to its manual system. Ordering is done by contacting suppliers individually, and sales data is recorded conventionally in a general ledger. As a result, the store often experiences overstock, which increases storage costs and the risk of damaged goods, or stockouts that can disappoint customers. To address these issues, this study aims to implement an integrated, web-based Supply Chain Management (SCM) system. This system is designed to accurately record inventory, manage demand, place orders in a timely manner, and support fast, data-driven decision-making. The system was built using the PHP programming language and a MySQL database. The implementation results show that the proposed SCM system is able to improve operational efficiency and inventory management accuracy at Semangat Store. Store owners can monitor sales and order reports directly, and the system provides notifications when inventory reaches the minimum limit. Thus, Semangat Store can reduce the risk of overstocking or understocking, increase profitability, and simplify the restocking process with suppliers through a more structured system. Keywords: supply chain management (scm); stock management; information systems; semangat store Abstrak: Toko Semangat, sebuah toko ritel yang berkembang pesat di Kisaran, menghadapi tantangan dalam pengelolaan stok barang karena masih menggunakan sistem manual. Proses pemesanan barang dilakukan dengan menghubungi pemasok satu per satu, dan pencatatan data penjualan masih dilakukan secara konvensional di buku besar. Akibatnya, toko sering mengalami kelebihan stok (over stock) yang meningkatkan biaya penyimpanan dan risiko kerusakan barang, atau kekurangan stok yang dapat mengecewakan pelanggan. Untuk mengatasi masalah ini, penelitian ini bertujuan untuk mengimplementasikan sistem Supply Chain Management (SCM) yang terintegrasi dan berbasis web. Sistem ini dirancang untuk mencatat stok barang secara akurat, mengelola permintaan, melakukan pemesanan secara tepat waktu, serta mendukung pengambilan keputusan yang cepat dan berbasis data. Sistem ini dibangun menggunakan bahasa pemrograman PHP dan database MySQL. Hasil dari implementasi menunjukkan bahwa sistem SCM yang diusulkan mampu meningkatkan efisiensi operasional dan akurasi pengelolaan stok barang di Toko Semangat. Pemilik toko dapat memantau laporan penjualan dan pemesanan secara langsung, dan sistem memberikan notifikasi jika stok barang mencapai batas minimum. Dengan demikian, Toko Semangat dapat mengurangi risiko kelebihan atau kekurangan stok, meningkatkan profitabilitas, dan mempermudah proses restock dengan pemasok melalui sistem yang lebih terstruktur. Kata kunci: supply chain management (scm); pengelolaan stok; sistem informasi; toko semangat
FORECASTING PERSEDIAAN STOK TOKO REZA SUKSES DENGAN METODE DES eka eka; William Ramdhan; Wan Mariatul Kifti inti
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 9 No. 1 (2026): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v9i1.4108

Abstract

The development of information technology offers significant opportunities for businesses to improve operational efficiency, including inventory management. Toko Reza Sukses, a clothing retail business, faces challenges in balancing stock levels with customer demand. This imbalance can lead to overstocking or stockouts, resulting in losses and decreased customer satisfaction. This study aims to apply the Double Exponential Smoothing (DES) method to forecast stock requirements based on historical data. DES was chosen for its ability to capture upward or downward trends in sales data. The system is designed as a web-based application using the PHP programming language to facilitate an effective and efficient forecasting process. The implementation results show that the system is capable of providing more accurate stock estimates, reducing instances of stock shortages and surpluses, and enhancing customer satisfaction through better product availability.
PENERAPAN E-CRM DALAM MENINGKATKAN OMZET PAKAIAN ANAK DAN DEWASA DI TOKO WULAN BUSANA  Ade Nurainun; William Ramdhan; Wan Mariatul Kifti wan mariatul
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 9 No. 1 (2026): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v9i1.4124

Abstract

The advancement of information technology has encouraged business actors, including retail stores such as Wulan Busana, to adopt more effective systems for managing customer relationships. One relevant solution is the implementation of Electronic Customer Relationship Management (e-CRM) to enhance customer loyalty and satisfaction. This study aims to design and implement a web-based e-CRM system at Wulan Busana store using the CodeIgniter framework. The method used is qualitative, with data collection techniques including observation, interviews, and literature review. The results of the study show that the e-CRM system helps the store manage customer data, monitor product stock, and carry out marketing activities in a more structured and efficient manner. The implementation of this system has proven to enhance interaction between the store and customers, accelerate responses to customer needs, and simplify promotional and sales evaluation processes. The system also has a positive impact on increasing customer loyalty and improving the store’s operational efficiency.
PARADIGMA KRITIS DAN AKSIOLOGI DALAM PENGEMBANGAN MANAJEMEN KEINGINAN DI LEMBAGA BISNIS Rahayu, Elly; Kifti, Wan Mariatul; Muti'ah, Rahma; Mujiatun, Siti
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.v9i1.5643

Abstract

Abstract: This riset conceptually explores the analysis of power structures in the management of desires inside modern business organizations via the lens of critical paradigms and how axiological principles such as justice, sustainability, and autonomy might steer business practices towards enhanced ethicality and introspection. The critical paradigm method aims to "uncover" the concealed mechanisms underlying the formation and regulation of desires (for example, via marketing and self-responsibilization) to expose the ideological hegemony that sustains injustice. The action approach, on the other hand, stresses the importance of making moral ideals a part of company plans and practices. The synthesis of recent literature indicates that in the absence of normative values, business practices are susceptible to manipulation, exploitation, and the abuse of power, including market power. Companies that continuously adhere to ethical norms, such as justice, social responsibility, and openness, tend to exhibit greater competitiveness and longevity. This article asserts that establishing critical paradigms in desire management enhances accountability for socio-ecological consequences, while axiological values function as a normative guide to ensure that businesses do not solely "manage desires" for profit but also honor consumer autonomy, maintain distributive justice, and safeguard environmental sustainability. Practical implications necessitate the establishment of corporate policies that prioritize public welfare, in accordance with OECD guidelines on Responsible Business Conduct, coupled with the enhancement of consumer critical literacy to foster collective awareness that enables structural protections against market dominance
TOPSIS-BASED SYSTEM FOR THE SELECTION OF TRAINING PARTICIPANT CANDIDATES AT THE ASAHAN MANPOWER OFFICE Guntur Maha Putra; Wan Mariatul Kifti; Putri Amanda Nurhayati
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 12 No. 2 (2026): Maret 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v12i2.4516

Abstract

Abstract: Job training is one of the government’s efforts to improve the quality of human resources so that they possess competencies that meet labor market demands. The process of selecting training participants at the Department of Manpower of Asahan Regency is still carried out manually, which can lead to subjectivity and inefficiency in determining the most eligible candidates. This study aims to develop a decision support system using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to assist the selection process objectively and systematically. The study applies four evaluation criteria, namely education level, age, work experience, and interview, with a dataset consisting of 31 training candidates. The system is developed as a web-based application using PHP programming language and MySQL database. The TOPSIS method is applied through decision matrix normalization, weighting, determination of positive and negative ideal solutions, and preference value calculation to produce a ranking of candidates. The results show that the proposed system can provide objective recommendations for selecting training participants, improve the efficiency of the selection process, and support decision makers in producing more accurate and reliable decisions. Keywords: decision support system; selection; training; TOPSIS. Abstrak: Pelatihan tenaga kerja merupakan salah satu upaya pemerintah dalam meningkatkan kualitas sumber daya manusia agar memiliki kompetensi yang sesuai dengan kebutuhan dunia kerja. Proses pemilihan calon peserta pelatihan di Dinas Tenaga Kerja Kabupaten Asahan selama ini masih dilakukan secara manual sehingga berpotensi menimbulkan subjektivitas dan kurang efektif dalam menentukan peserta yang paling layak. Penelitian ini bertujuan untuk membangun sistem pendukung keputusan menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk membantu proses seleksi peserta pelatihan secara objektif dan sistematis. Penelitian ini menggunakan empat kriteria penilaian yaitu pendidikan, usia, pengalaman kerja, dan wawancara dengan jumlah data sebanyak 31 calon peserta pelatihan. Sistem dikembangkan berbasis web menggunakan bahasa pemrograman PHP dan database MySQL. Metode TOPSIS digunakan untuk melakukan normalisasi matriks keputusan, pembobotan, penentuan solusi ideal positif dan negatif, serta perhitungan nilai preferensi untuk menghasilkan perankingan peserta pelatihan. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu memberikan rekomendasi peserta pelatihan secara objektif, meningkatkan efisiensi proses seleksi, serta membantu pihak dinas dalam pengambilan keputusan yang lebih akurat. Kata kunci: pelatihan; seleksi; sistem pendukung keputusan; TOPSIS.
Exploring the Impact of Social Customer Relationship Management on Customer Loyalty Through Customer Satisfaction as a Mediator in Micro, Small, and Medium Enterprises in Koowe, Asahan Regency Elly Rahayu; Wan Mariatul Kifti
Jurnal Ekonomi, Bisnis & Entrepreneurship Vol. 18 No. 2 (2024): Jurnal Ekonomi, Bisnis & Entrepreneurship (e-Journal)
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat (P3M) STIE Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/mez5cc30

Abstract

This study aims to examine the impact of Social Customer Relationship Management (SCRM) conducted through social media on customer loyalty, with customer satisfaction acting as a mediator within UMKM KOOWE in Asahan District. The increasing popularity of social media for communication and transactions has become a valuable tool for small and medium-sized enterprises (SMEs) to promote their products, accept orders, and build customer relationships. The choice of social media is often due to its ease of use, cost-effectiveness, and lack of special skills required for operation. One challenge faced by MSMEs KOOWE is measuring customer satisfaction and loyalty, as obtaining a customer database through social media can be difficult. The research employs a descriptive quantitative methodology, analyzing data using Structural Equation Modeling Partial Least Squares (SEM-PLS) with the support of Smart-PLS 3.0 software. Three hypotheses are proposed: First, SCRM significantly influences customer satisfaction; second, customer satisfaction significantly impacts loyalty; and third, SCRM directly affects customer loyalty. The results indicate that all hypotheses are accepted, confirming the positive relationships among these variables. The implications of this research highlight the importance of implementing effective SCRM strategies through social media to enhance customer satisfaction and loyalty, contributing to the growth and sustainability of MSMEs. Businesses can leverage these findings to refine their customer engagement practices for improved performance in a competitive marketplace.
Media Online Store Dengan Penerapan E-CRM Di Susi Bucket And Decoration Dian Kartini; Fauriatun Helmiah; Wan Mariatul Kifti
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3318

Abstract

The development of digitalization encourages MSMEs to optimize their sales and customer relationship management systems in an integrated manner. Susi Bucket and Decoration still faces obstacles in order management, customer data recording, and market reach limitations due to manual processes. This study aims to design and implement an Electronic Customer Relationship Management (E-CRM)-based Online Store system to improve operational efficiency and customer service quality. The methods used are a descriptive qualitative approach with a Waterfall system development model and testing using the black box method. The results show that the system is capable of centrally integrating transaction and customer data, accelerating the order recording process by an average of ±3 minutes compared to the manual method, and improving customer response effectiveness through chat and structured review features. Additionally, period-based sales reports help business owners systematically evaluate sales trends. The scientific contribution of this research lies in the development of an integrated E-CRM implementation model for creative SMEs that combines digital transactions, customer satisfaction monitoring, and sales analytics in a single integrated platform.
Co-Authors Ade Nurainun Adnan Fauzi Ahmad Muhazir Amalia Amalia Amalia Amalia Amalia Amalia Amalia Amalia, Laily Rizky Annisa Azzahra Apriaji Kurniawan Ari Dermawan Arip Muhridan Arju Devpriandi Siahaan Arridha Zikra Syah Bachtiar Efendi Bachtiar Efendi, Bachtiar Chindy Novira Amroe Daril Khoir Nasution dermawan, ari Dian Aprillia Dian Aprillia Dian Kartini eka eka Elly Rahayu Enda Triswati Endra Saputra Fauriatun Helmiah Frans Andrean Hasibuan Guntur Maha Putra Gustin, Sela Habibullah . Hasian, Irene Havid Syafwan Helmiah, Fauriatun Herman Saputra Herman Saputra Hutapea, Tiofani Br. Imam Wahyudi Indrawan, Imam Wahyudi Indah Pratiwi, Enggy Indahini, Sri Jeperson Hutahaean Jhonson Efendi Hutagalung Kartika Sari Lubis, Adi Prijuna Lubis, Syafaat Sufi M Irfan Fahmi M. Zulfakhri Jain Mayang Sari, Windy Astika Muhammad Amin Muhammad Novri Rachmawan Muti'ah, Rahma Nabila, Inaya Nasrun Marpaung Nasution, Rama Danil Fahri Neni Mulyani Ningrum, Mawar Puspitha Nofriadi, Nofriadi Novianti Novianti Nur Aini Nur Aini Nur Wati Nuriadi Manurung Nuriadi Manurung Nursia, Akris Nursia Nurwati Nurwati Nurwati Nurwati Puspita Deri Syahfitri Putri Amanda Nurhayati Putri Indah Sari Putri Indriani Rahayu, Elly Raja Fazlun Dinara Ramdhan, William Reski Ramadhan Siregar Riki Andri Yusda Risnawati Risnawati Rohminatin Rohminatin Rohminatin Rohminatin Rohminatin Rohminatin Rohminatin Rohminatin, Rohminatin SANTOSO SANTOSO Santoso Santoso SATRIYAS ILYAS Sela Gustin Siagian, Yessica Siregar, Beni Harianto Siti Mujiatun Sri Okta Purnamasari Suci Andriyani Sudarmin Sudarmin Sudarmin Sudarmin Sudarmin Sudarmin Sumarlin Sumarlin Syafaat Sufi Lubis Syahira Syahira Tri Anjar Ningsih Vira Fahrani Waji Datur Rahmi Sipahutar Wan Mhd Iqbal Muttaqin William Ramdhan Windy Astika Mayang Sari Windy Swaradana Yessica Siagian Zulfi Azhar