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All Journal Techno.Com: Jurnal Teknologi Informasi JURNAL PENGABDIAN KEPADA MASYARAKAT Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika MODELING: Jurnal Program Studi PGMI IT JOURNAL RESEARCH AND DEVELOPMENT PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Teknik Informatika UNIKA Santo Thomas INTECOMS: Journal of Information Technology and Computer Science Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) AXIOM : Jurnal Pendidikan dan Matematika Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Kurawal - Jurnal Teknologi, Informasi dan Industri Jurnal Riset Informatika AL-ULUM: JURNAL SAINS DAN TEKNOLOGI Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Review Pendidikan dan Pengajaran (JRPP) Progresif: Jurnal Ilmiah Komputer Jurnal Informatika dan Rekayasa Elektronik Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Teknik Informatika C.I.T. Medicom G-Tech : Jurnal Teknologi Terapan Science Midwifery JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) INFOKUM Community Development Journal: Jurnal Pengabdian Masyarakat U-NET Jurnal Teknik Informatika Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing JiTEKH (Jurnal Ilmiah Teknologi Harapan) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Journal La Multiapp Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains Jurnal Mandiri IT Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Armada Informatika Journal of Information Systems and Technology Research Jurnal Sains dan Teknologi JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Komputer Antartika Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Pengabdian Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Ilmiah Nusantara Modem : Jurnal Informatika dan Sains Teknologi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Abdul Halim Hasugian
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Klasifikasi Peminatan Skripsi Mahasiswa Ilmu Komputer dengan Algoritma K-Nearest Neighbor Gunawan, Helmi; Hasugian, Abdul Halim
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6457

Abstract

Technological advancements have made it easier for students to access information. However, many Computer Science students still struggle to determine a thesis specialization that aligns with their skills and interests. This study employs the K-Nearest Neighbor (KNN) algorithm to classify students' thesis specializations based on their academic data. The dataset consists of 100 students, with 80 used for training and 20 for testing. The KNN model was applied with parameters k=3k=3k=3 and k=5k=5k=5, generating predictions for thesis specializations such as Artificial Intelligence, Data Mining, and other fields. Model evaluation was conducted using accuracy, precision, recall, and confusion matrix metrics. The results show that the KNN model with k=3k=3k=3 achieved an accuracy of X%, precision of Y%, and recall of Z%. The implementation of KNN in this study demonstrated reasonably accurate results and can serve as a recommendation tool for students in selecting their thesis topics.
ANALISIS DAN PERANCANGAN APLIKASI ALGORITMA HUFFMAN DAN DYNAMIC MARKOV COMPRESSION PADA FILE TEXT PDF Suendri, Suendri; Hasugian, Abdul Halim; Rijal, Mhd. Nanda Khairul
Jurnal Informatika Vol 9, No 1 (2025): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v9i1.12712

Abstract

Penggunaan media penyimpanan yang efektif dan efesien sangat didambakan oleh semua orang, ukuran besar dan kecilnya sebuah document sangat mempengaruhi media penyimpanan dan juga ketika pengiriman document juga mempengaruhi kecepatan pengiriman. Dengan memanfaatkan beberapa metode Kompresi kita dapat memperkecil ukuran pada sebuah Document. Beberapa diantaranya adalah metode Huffman dan metode Dynamic Markov Compression dimana pada penelitian ini akan membahas mengenai perbandingan dari metode Huffman dalam melakukan proses Kompresi dan Dekompresi dengan metode Dynamic Markov Compression menggunakan file text yang berjenis (.pdf). Dari hasil penelitian menunjukan bahwa metode huffman lebih baik didalam melakukan proses kompresi document dibandingkan dengan metode Dynamic Markov Compression. Hal ini dapat dilihat dari kompleksitas waktu dan nilai rata-rata rasio kompresi Huffman 57.97%  pada metode Dynamic Markov Compression 57.41%. 
Analisis Sentimen Publik Pada Aplikasi X Terhadap Kenaikan UKT Di Indonesia Menggunakan Algoritma Naive Bayes Bandaharo, Bandaharo; Hasugian, Abdul Halim
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 2 (2025): JPTI - Februari 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.675

Abstract

Pertumbuhan teknologi digital dan internet telah memungkinkan untuk memperoleh dan menyelesaikan berbagai tugas akademik dengan lebih cepat. Media sosial juga telah menjadi semakin penting sebagai platform untuk opini publik tentang berbagai topik, salah satunya adalah kebijakan perguruan tinggi terkait Uang Kuliah Tunggal (UKT). Kebijakan ini sering menjadi isu yang kontroversial jika itu berkaitan tentang kenaikan UKT. Permasalahan terhadap kenaikan UKT sering menjadi perhatian bagi orangtua maupun mahasiswa tersebut. Sehingga dibeberapa kalangan, kenaikan UKT dapat menjadi masalah bagi mereka. Analisis Sentimen Publik adalah langkah yang tepat untuk menghitung tingkat opini positif dan negatif terkait isu kenaikan UKT. Dengan tujuan untuk mengukur sentimen publik terhadap kenaikan UKT algoritma Naive Bayes. Penelitian ini menggunakan data yang bersumber dari aplikasi X (Twitter) yang di crawling menggunakan Google Colab dengan jumlah data yaitu 1390 dan juga menggunakan metode Naive Bayes sebagai penyelesaian masalah. Hasil yang diperoleh setelah melakukan penelitian yaitu terdapat sebanyak 457 komentar negatif dan 933 komentar positif, kemudian untuk hasil evaluasi model diperoleh skor F-1 sebesar 0,82 atau 82%, akurasi sebesar 0,748 atau 74,8%, presisi sebesar 0,81 atau 81%, dan recall sebesar 0,84 atau 84%. Diharapkan kedepannya, penelitian ini mampu memberikan evaluasi kembali terhadap kementrian pendidikan apakah kenaikan UKT ini layak atau tidak untuk diperdayakan.
Application Of Apriori Algorithm in Coffee Supply Planning in Coffee Shops (Case Study: Setuju Coffee) Nasution, Yazid Hulaini Habbani; Hasugian, Abdul Halim
Progresif: Jurnal Ilmiah Komputer Vol 21, No 1: Februari 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i1.2611

Abstract

This study applies the Apriori algorithm in coffee supply planning at Agree Kopi. The problem addressed is the accumulation of coffee raw materials, leading to financial losses due to spoilage. To overcome this, data mining techniques using the Apriori algorithm are employed to identify sales patterns and product relationships. The research involves collecting daily transaction data from October 2023 to October 2024 through observation and interviews. Data analysis is conducted using Python on Google Colaboratory. The results reveal 69 association rules, with confidence levels ranging from 80% to 100%. These findings help optimize stock management, reduce excess inventory, and improve customer service. This study provides practical insights for better inventory planning and supports data-driven business decision-making.Kata kunci: Apriori algorithm; Data Mining; Inventory Planning; Sales Patterns; Stock Management  Abstrak Penelitian ini menerapkan algoritma Apriori dalam perencanaan stok kopi di Agree Kopi. Permasalahan yang dihadapi adalah penumpukan bahan baku kopi yang menyebabkan kerugian finansial akibat kerusakan selama penyimpanan. Untuk mengatasinya, digunakan teknik data mining dengan algoritma Apriori guna mengidentifikasi pola penjualan dan hubungan antar produk. Penelitian ini mengumpulkan data transaksi harian dari Oktober 2023 hingga Oktober 2024 melalui observasi dan wawancara. Analisis data dilakukan menggunakan Python pada Google Colaboratory. Hasil penelitian menunjukkan 69 aturan asosiasi dengan tingkat kepercayaan antara 80% hingga 100%. Temuan ini membantu mengoptimalkan manajemen stok, mengurangi kelebihan persediaan, dan meningkatkan layanan pelanggan. Studi ini memberikan wawasan praktis dalam perencanaan stok yang lebih baik serta mendukung pengambilan keputusan bisnis berbasis data.Kata kunci: Algoritma Apriori; Data Mining; Perencanaan Stok; Pola Penjualan; Manajemen Persediaan
Penerapan Metode ANP-SAW Untuk Rekomendasi Penerima Reward Bulanan Customer Pada Jasa Laundry Pahlevi, Mhd Rafly Syah; Hasugian, Abdul Halim
Progresif: Jurnal Ilmiah Komputer Vol 21, No 1: Februari 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i1.2612

Abstract

This study discusses the application of the ANP-SAW method in the recommendation of monthly customer awards recipients in laundry services. Analytical Network Process (ANP) is used to determine the weight criteria based on the relationship between factors, with the following weight results: frequency of visits (0.633), total expenditure (0.293), and customer satisfaction (0.074). Furthermore, the Simple Additive Weighting (SAW) method is applied to rank customers based on the preference value obtained from data normalization and the calculation of the final score by summing the results of the multiplication between the normalization value and the weight of each criterion. The first five customers in the dataset were analyzed using the SAW method, where the data included the number of visits, total expenditure, and level of satisfaction. The results showed that customers with the highest SAW scores were customers who had higher frequency of visits and total expenditure, although customer satisfaction also contributed to the ranking. The implementation of this method is expected to help laundry managers in increasing customer loyalty and providing more targeted appreciation. With this system, business owners can efficiently assess and select the best customers based on predetermined criteria, thereby encouraging an increase in service quality and overall customer satisfaction.Keywords: ANP-SAW; Reward; Customer; Laundry AbstrakPenelitian ini membahas penerapan metode ANP-SAW dalam rekomendasi penerima penghargaan bulanan pelanggan pada layanan laundry. Analytical Network Process (ANP) digunakan untuk menentukan bobot kriteria berdasarkan hubungan antar faktor, dengan hasil bobot sebagai berikut: frekuensi kunjungan (0.633), total pengeluaran (0.293), dan kepuasan pelanggan (0.074). Selanjutnya, metode Simple Additive Weighting (SAW) diterapkan untuk melakukan perangkingan pelanggan berdasarkan nilai preferensi yang diperoleh dari normalisasi data dan perhitungan skor akhir dengan menjumlahkan hasil perkalian antara nilai normalisasi dan bobot masing-masing kriteria. Lima pelanggan pertama dalam dataset dianalisis menggunakan metode SAW, di mana data mereka mencakup jumlah kunjungan, total pengeluaran, dan tingkat kepuasan. Hasil penelitian menunjukkan bahwa pelanggan dengan skor SAW tertinggi merupakan pelanggan yang memiliki frekuensi kunjungan dan total pengeluaran yang lebih tinggi, meskipun kepuasan pelanggan juga memberikan kontribusi dalam penentuan peringkat. Implementasi metode ini diharapkan dapat membantu pengelola laundry dalam meningkatkan loyalitas pelanggan serta memberikan apresiasi yang lebih tepat sasaran. Dengan adanya sistem ini, pemilik usaha dapat secara efisien menilai dan memilih pelanggan terbaik berdasarkan kriteria yang telah ditentukan, sehingga mendorong peningkatan kualitas layanan dan kepuasan pelanggan secara keseluruhan.Kata Kunci: ANP-SAW; Reward; Customer’ Laundry
PERANCANGAN TINGKAT KEPUASAN MASYARAKAT TERHADAP KINERJA DPRD KOTA MEDAN MENGGUNAKAN PHP MYSQL Lubis, Akbar Maulana; Zaidan, Muhammad; Hasugian, Abdul Halim
Kurawal - Jurnal Teknologi, Informasi dan Industri Vol 8 No 1 (2025): Jurnal Kurawal Volume 8, Nomor 1, Maret 2025
Publisher : Universitas Ma Chung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/kurawal.v8i1.1206

Abstract

The development of technology in this modern era is a challenge for the government and encourages efforts to realize optimal services for the community. In carrying out its functions, the Medan City DPRD needs to know the extent of the public satisfaction index on the performance that has been built. Collecting a lot of data requires an information system in its implementation, and this is the purpose of this research. The design of this Information System was built by utilizing PHP technology and MySQL as the database. The development method used to produce a good system is using the SDLC development method with a waterfall model. The design is also arranged with an object-oriented analysis approach using UML (Unified Modeling Language). This system is designed to provide convenience in data processing and produce accurate and fast reports. By building a web-based community satisfaction index information system design, the Medan City DPRD government is expected to easily know the evaluation of the community satisfaction index, especially related to the services they provide, so that it becomes the basis for continuous improvement.
Implementasi Algoritma Vigenere Cipher Untuk Keamanan Data Bantuan Sosial Di Desa Pazri; Abdul Halim Hasugian
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.544

Abstract

Data security in the digital era is very important. Village governments often manage sensitive data related to social assistance, such as recipient names, ID numbers, types of assistance, and other details. This data is very vulnerable to leaks or misuse, especially if there is no strong security system in place. This highlights the importance of implementing technology that supports data security. By implementing cryptographic algorithms such as the Vigenere Cipher, the village government can protect its community's data from potential threats. This algorithm uses a flexible secret key, making it ideal for securing small to medium-scale data, such as social assistance data. The Vigenere Cipher algorithm is applied to secure social assistance data in Lawe Sempilang Village, such as recipient names, ID numbers, and the types of assistance provided. This research aims to develop an application for the Implementation of the Vigenere Cipher Algorithm for Social Assistance Data Security in Lawe Sempilang Village. This application is designed to enhance the security of social assistance data by encrypting the data so that it can only be accessed by authorized parties, thereby preventing data leaks or misuse of information. The research method used is the Research and Development (R&D) method. This research successfully implemented the Vigenere Cipher algorithm in the data management system for social assistance recipients in Lawe Sempilang Village. With the presence of encryption, sensitive information such as Name, NIK, Phone Number, Email, Address, Dependents, and Income remains secure throughout the application process until approval by the Admin Department. The developed system is capable of maintaining data confidentiality and enhancing security in the distribution of social assistance. The results also show that the Vigenere Cipher algorithm succeeded in carrying out the encryption and decryption process correctly, so that only authorized parties can access the information in its original form.
The Arithmetic Game Application Category for Children Using General Basic Knowledge Based Methods Hasugian, Abdul Halim; Sriani
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.101

Abstract

A computer is a series of electronic machines consisting of thousands or even millions of components that can work together and form a neat and thorough system. Technological developments in the computer sector have progressed rapidly. Many new software have been created to help make human work easier and more practical. Almost every field has been touched by computer technology, including education. The teaching system implemented by the school does not yet have complete facilities to help students learn. Students often find it difficult because they have to study certain subjects that require a lot of study and practice, such as mathematics at elementary school level. Due to the lack of complete learning facilities at school, parents can provide interesting learning facilities by using an application at home so that their children are interested in studying at home. Creating this application goes through several stages such as: problem analysis, creating a database structure, creating a menu design, creating an application and conclusions and suggestions so that you get an application that suits your wishes and is structured. The aim of creating this application is so that elementary school age children can practice answering arithmetic questions more easily and with fun.
A Analysis of Public Sentiment towards Beverage Franchise Reviews Using the Naïve Bayes Algorithm khairani, maya; Hasugian, Abdul Halim; Putri, Raissa Amanda
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i01.102

Abstract

A franchise is an individual or business that is licensed to use the intellectual property or business characteristics of the franchisor. Currently, the food and beverage business is very familiar because of its rapid development, one of which is boba drinks. In the food business, customer ratings and reviews are very important because they can provide suggestions and input to improve the quality of the products sold. This study analyzes drink reviews by differentiating positive and negative reviews in the text mining process using Naïve Bayes. Data was taken from Google reviews with a total of 132 data consisting of 81 positive reviews, 38 neutral and 13 negative. The accuracy of positive reviews is 70% and for all reviews it reaches 81%.
Maintain Files Confidential By Using Rail Fence Cipher And Rot13 Method Situmorang, Rantouli; Ikhsan, Muhammad; Hasugian, Abdul Halim
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.113

Abstract

Transmission of information over long distances using internet media is faced with the problem of data security and confidentiality which is one of the important aspects of data communication, both for the purpose of data security and for individual privacy. One of the communication media is to use written text because a lot of information can be conveyed through writing (text) and sometimes in the text there is confidential information. Those who want their data not to be known by unauthorized parties always try to find ways to secure the information to be communicated. The Rail Fence Cipher algorithm has an advantage over other algorithms because in the process of writing plaintext into ciphertext it can be done on any line so that it adds to the complexity of the encryption and decryption process. The Rotate13 algorithm is a development of the Caesar cipher algorithm where this algorithm changes each letter character with 13 characters in front and one behind it according to the alphabet where the 13th character shift is carried out, namely the letter A is replaced with N. So that the data is disguised and cannot be read at a glance then shift the character in the ASCII table by shifting back as much as 13 characters. In this study, encryption and decryption were carried out by combining the Rail Fence Cipher algorithm with ROT13, where the encryption and decryption process is done 2 times. Based on the experimental results, the relationship between the encryption process time and the plaintext size shows that there is an effect of processing time speed based on the number of plaintext lengths in each algorithm and based on the relationship between the encryption process time and the decryption process time, it shows that the time used does not have a significant difference.
Co-Authors Abdillah, Ibnu Faiz Adam Damiri Manurung Adi Hartono Aditya Maulana Azanzi Girsang Afandi Sahputra Aidil Halim Lubis Aidil Halim Lubis Ajeng Dwi Pratiwi Ali Darta Ali Ikhwan Alwy Azyari Harahap Amalia Daulay, Rizki Amelia Amri Yuda S Anggraini, Arizka Anggraini, Sindi Annisa Shafira Zuhri Armansyah Armansyah Armansyah Asrul Suwondo Azhar, Joehari Bandaharo, Bandaharo Bermiko Kasah Padang Bunga Nurul Manisa Cindy Ananda Putri Dea Amallia Deni Fahrizal Dewi Afrianti Dina Afriani Dinda Zukhoiriyah Eferoni Ndururu Elsa Azila Rahman Fakhriza, M. Farah Zaida Gema Ramadhan Gilang Armawan Saka Ginting, Masitha Putri Ardhana Gunawan Gunawan Gunawan, Helmi Hanny Puput Eliyarista Saragih Harahap, Muhammad Fitrah Affandi Harahap, Nasywa Al Afif Heni Pujiastuti Heri Santoso Heri Santoso Heri Santoso HERI SUSANTO Hsb, Munawir Siddik Ibnu Rusydi Ilham Ilham Ilka Zufria Imam Zaki Husein Nst Indah Alfitri Lubis Irene Sri Morina Januar, Bagus K Khairunnisa Khaidir Hanafi Khairuna Khairuna Khairunnisa, K Lubis, Akbar Maulana Lubis, Desy Ramadhani M Mahyudi M. Fakhriza M. Khalil Gibran M.Alif Fahrezy Maimunah Rahmadani Maulida, Dzikra Maya Khairani Mhd Furqan Mhd Ikhsan Rifki Mhd. Fakhrozi Arif Mhd. Furqan Mufliha Afiksih Muhammad Aditya Prasetio Muhammad Alfarizi Muhammad Arief Irawan Muhammad Ezar Raditya Muhammad Farhan Alhabib Muhammad Ikhsan Muhammad Ikhsan Muhammad Ridzki Hasibuan Muhammad Sayuthi Muhammad Siddik Hasibuan Muhammad Suhery Mulya Alfan Simatupang Murdani Muthia Ramadhani Nadyah Almirah Simanjuntak Nasution, Yazid Hulaini Habbani Nasution, Yurika Nur Jamilah Aruan Nurmaiyah Nurmaiyah Ong, Russell Pahlevi, Mhd Rafly Syah Pazri Pebriani Putri Prayoga, M. Irsan Pristiwanto Putra, Donny Dwi Putri Hanifah Rahadian Fatta Batubara Rahmad Prayogi Harahap Rahmawati Rahmawati Raissa Amanda Putri Rajani, Attila Rakhmat Kurniawan R Ramadhani, Silvia Rano, Rano Irawan Reza Muhammad Rijal, Mhd. Nanda Khairul Rina Widyasari Rizki Amalia Rizky Pratama Putra Rizky Ramadhan Rizqi Hidayat Tanjung RR. Ella Evrita Hestiandari Ryo Vikri Alif Saefuddin, Anan Sela, Dhea Shania Oktawijaya Sheila Safira Siahaan, Ahmad Taufik Al Afkari Simanjuntak, Salmah Simatupang, Aidil Akbar Siregar, Muhammad Faisal Siregar, Nora Arianti Siti Hayatul Fauziah Ritonga Siti Juhroini Ritonga Siti Nurhaliza Sofyan Siti Sumita Harahap Sitorus, Ridha Saryani Situmorang, Rantouli Solifiah Batubara, Febi Sri Suci Yani Sriani Sriani Sriani Sriani, S Suandi Padang Suendri Suendri, Suendri Suhardi Suhardi Suhardi Suhardi Sulindawaty T. Raihan Yudisthira TONNI LIMBONG Tria Elisa Ulfah, Auliana Wina Fadia Ardianti Windary, Wanda Wirna Rizka Auliani Yusuf Karim Rambe Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Zaidan, Muhammad Zidanul Akbar Ziqra Addilah Zul Attoriq Farhan Wahyudi