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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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Teknik Keamanan Data Menggunakan Metode Vigenere Cipher Dan Steganografi Dalam Penyisipan Pesan Teks Pada Citra Rahmad Prayogi Harahap; Abdul Halim Hasugian
JURNAL FASILKOM Vol 13 No 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.6184

Abstract

Peningkatan keamanan data telah menjadi prioritas utama dalam berbagai sektor, terutama dalam pertukaran pesan dan informasi yang sensitif. Salah satu metode yang digunakan untuk mengamankan pesan teks adalah dengan menggabungkan teknik Vigenere Cipher dan steganografi dalam penyisipan pesan teks pada citra. Penelitian ini bertujuan untuk meningkatkan tingkat keamanan dalam pertukaran pesan teks dengan menggabungkan dua metode tersebut. Metode Vigenere Cipher digunakan untuk mengenkripsi pesan teks, menghasilkan pesan terenkripsi yang sulit dipahami tanpa kunci yang tepat. Sedangkan steganografi digunakan untuk menyisipkan pesan teks ke dalam citra, yang membuat pesan tersebut tersembunyi secara visual dalam citra tersebut. Dengan menggabungkan kedua metode ini, pesan teks tidak hanya terenkripsi dengan baik, tetapi juga disembunyikan secara efektif dalam citra. Penelitian ini mencakup implementasi dan pengujian metode Vigenere Cipher dan steganografi pada berbagai jenis citra. Hasil pengujian menunjukkan bahwa penggunaan kedua metode ini secara bersama-sama dapat meningkatkan keamanan data dengan baik. Selain itu, penelitian ini juga membahas tantangan yang mungkin timbul dalam menggabungkan kedua metode ini, seperti ukuran citra, kualitas citra, dan proses dekripsi pesan. Hasil penelitian ini dapat digunakan sebagai panduan untuk meningkatkan keamanan pertukaran pesan teks dalam berbagai aplikasi, seperti komunikasi online, penyimpanan data, dan lain sebagainya. Dengan menggabungkan teknik Vigenere Cipher dan steganografi, pengguna dapat memastikan bahwa pesan teks mereka aman dan terlindungi dari akses yang tidak sah.
PENERAPAN ALGORITMA KLASIFIKASI NAÏVE BAYES UNTUK ANALISIS SENTIMEN TENTANG PEMINDAHAN IBU KOTA NEGARA Abdul Halim Hasugian; Raissa Amanda Putri; Mulya Alfan Simatupang
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 2 (2024): May 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i2.1815

Abstract

Abstract: The decision of the Government of the Republic of Indonesia regarding the relocation of the territory of the Indonesian state capital to the Nusantara Capital in North Penajam Pasir, East Kalimantan is certainly an interesting discussion. This is a new record in Indonesian history because it has never happened before, becoming one of the big news stories that has generated a lot of opinions or reactions from the public. Twitter is one of the social media that people use to express opinions. Various kinds of opinions, both positive and negatif, are expressed by Indonesian people through their Twitter social media accounts. The data was obtained by crawling techniques from social media Twitter with the keywords "ibu kota nusantara" and "ikn" with the amount of data used as many as 606 tweets. The data is then labeled (class) using the lexicon-based method but first translated into English so that it is detected by the lexicon dictionary. From the labeling results, there were 400 tweets (66%)  with positive labels and 206 tweets (34%) with negatif labels. The data preprocessing stage is carried out in preparation for the data to be processed for sentimen analysis. Of the many opinions obtained, an analysis of public opinion sentimen about the relocation of the national capital will be carried out using the Naïve Bayes classification algorithm. This study also applied the TF-IDF word weighting method with the n-gram feature used, namely bigram (n=2). The system will be evaluated using a confusion matrix. The performance of the system built in this study can be said to be good. Keywords: relocation of national capitals; sentiment analysis; naïve bayes classifier. Abstrak: Keputusan Pemerintah Republik Indonesia tentang pemindahan wilayah ibu kota negara Indonesia menjadi Ibu Kota Nusantara di Penajam Pasir Utara, Kalimantan Timur tentu menjadi pembahasan yang menarik. Ini merupakan catatan baru dalam sejarah Indonesia karena belum pernah terjadi sebelumnya, menjadi salah satu berita besar yang menimbulkan banyak opini atau reaksi dari masyarakat. Twitter merupakan salah satu media sosial yang digunakan masyarakat untuk mengungkapkan opini. Berbagai macam opini antara positif dan negatif diutarakan masyarakat Indonesia melalui akun media sosial Twitternya. Data diperoleh dengan teknik crawling dari media social Twitter dengan kata kunci “ibu kota nusantara” dan “ikn” dengan jumlah data yang digunakan sebanyak 606 tweet. Data kemudian diberi label (kelas) dengan metode lexicon¬-based tetapi terlebih dahulu menerjemahkannya kedalam Bahasa Inggris agar terdeteksi oleh kamus leksikon. Dari hasil pelabelan diperoleh data berlabel positif sebanyak 400 tweet (66%) dan negatif sebanyak 206 tweet (34%) . Tahap preprocessing data dilakukan sebagai persiapan untuk data agar bisa diproses untuk analisis sentimen. Dari sekian banyak opini yang diperoleh, maka akan dilakukan analisis sentimen opini masyarakat tentang pemindahan ibu kota negara dengan menggunakan algoritma klasifikasi Naïve Bayes. Pada penelitian ini juga diterapkan metode pembobotan kata TF-IDF dengan fitur n-gram yang digunakan yaitu bigram (n=2). Sistem akan dievaluasi dengan menggunakan confusion matrix. Kinerja dari sistem yang dibangun pada penelitian ini dapat dikatakan baik. Kata kunci: pemindahan ibu kota negara; analisis sentimen; naïve bayes classifier.
Sistem Pengambilan Keputusan terhadap Kinerja Karyawan Berdasarkan Usia Menggunakan Metode AHP dan MOORA di Lonsum Perkebunan Pulo Rambung Estate Divisi IV Sri Suci Yani; Abdul Halim Hasugian
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 4 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

Companies are required to work more effectively and efficiently due to increasingly tight company competition. If employee performance increases, the quality of the company will also increase. One form of motivation and appreciation from the company is providing performance appraisals for employees. By having employees who excel and have high loyalty to the company, the company can develop and progress rapidly. By selecting the best employees you can improve employee performance. Therefore, standardization or criteria for assessing employee performance. In oil palm plantations there are positions or job positions which are determined based on the age and productivity of the employee, because this work requires a lot of energy. This research is to develop a SPK which is expected to provide an accurate decision, and based on agreed criteria by combining two methods, namely where the AHP calculates the level of importance of the weights for each criterion and sub-criteria. Furthermore, the MOORA method functions to rank by comparing the value of each criterion for each alternative. By assessing employee performance, employee performance can be motivated and appreciated so that it can improve the quality of employee work. This research uses 7 assessment criteria using 25 employee data, so that it gets the largest optimization value, namely 10.2065 with rank 1 aged 53 years and A24 gets the smallest optimization, namely 5.7236 with rank 25 aged 36 years.
Kombinasi Metode WASPAS dan TOPSIS untuk Menentukan Transportasi Umum (Bus) yang Paling Diminati di Kota Langsa Dina Afriani; Abdul Halim Hasugian
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (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.v7i1.37159

Abstract

Langsa City is one of the cities in Aceh province which continues to experience rapid development in various fields, including transportation. Public transportation is an important element in facilitating population mobility, including those who often travel outside the city. People who often travel out of town in Langsa City face a number of problems. Limited accessibility, delays in bus departure and arrival times, as well as lack of service quality such as comfort and facilities, are factors that influence their choice in using bus services. Competitive fares and safety during travel are also important considerations. Therefore, determining the buses that are most popular with people who frequently leave the city in Langsa City is essential to increase efficiency, comfort and passenger satisfaction on long-distance trips. The research findings will provide insight into the most preferred bus transportation based on the criteria applied using the WASPAS and TOPSIS methods. These two methods will later be used to determine the buses that are most popular with the people of Langsa City based on predetermined criteria such as ticket price, distance traveled, passenger capacity, speed and comfort. By using these two methods, it is hoped that we can obtain more accurate and reliable results in determining the public transportation that is most popular with the people of Langsa City.
Algoritma ROC dan MOORA dalam Pencarian Buku di Perpustakaan Umum Kabupaten Labuhanbatu Pebriani Putri; Abdul Halim Hasugian
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (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.v7i1.37442

Abstract

The public library is a common facility with thousands of book collections. In public libraries, visitors often encounter difficulties in finding the books they desire, and it's not uncommon for them to leave without locating their desired reads. To address this issue, the researcher proposes a system that includes book information and analytical tools to determine the most favored books in the library. In this study, the researcher applies the ROC and MOORA methods to develop a Decision Support System (DSS) for identifying the most preferred book choices, enabling the library to acquire books based on visitors' preferences. Four criteria are considered: book genre, number of book borrowings, popularity, and book availability. Testing is conducted by comparing six book data sets, with the research revealing that alternative data A1 "Katak Hendak Menjadi Lembu," is the most favored choice among library visitors, with a preference score of yi = 0.55. The results of this research can provide convenience for visitors in searching for books, thereby enhancing the quality of services and the availability of books in the library.
Penerapan Data Mining pada Penentuan Varian Rasa yang Paling Diminati di Roti Kacang Hj Eliya di Tebing Tinggi Menggunakan Algoritma K-Nears Neighbor Wirna Rizka Auliani; Abdul Halim Hasugian
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (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.v7i1.38113

Abstract

Growth and development in the business world is growing rapidly as it is now requiring entrepreneurs to be able to compete more fiercely for consumers' attention. Entrepreneurs must use various methods to attract consumeir inteireist about a product with various busineisseis that arei starting to eimeirgei. Theireiforei, eiveiry eintreipreineiur is reiquireid to havei thei ability to do someithing that is consideireid beitteir than compeititors' busineisseis in ordeir to facei this compeitition. Umeiga Nut Breiad Hj. Eiliya Lubis in promoting heir peianut breiad products. Thei compeititivei einvironmeint that eixists in thei eira of globalization will increiasingly leiad to eiconomic systeims and markeit meichanisms that position markeiteirs to always balancei and gain markeit sharei (markeit sharei). Thei KNN algorithm has seiveiral advantageis, nameily reisilieincei to training data that has a lot of noisei and is eiffeictivei whein thei training data is largei. Meianwhilei, thei weiakneiss of KNN is that KNN neieids to deiteirminei thei valuei of thei K parameiteir (thei numbeir of neiareist neiighbors), training baseid on distancei is not cleiar about what typei of distancei should bei useid and which attributeis should bei useid to geit thei beist reisults, and thei computational cost is quitei high beicausei it reiquireis calculations. distancei from eiach queiry instancei to thei eintirei training samplei. Thei reisult of this reiseiarch is a classification to deiteirminei scholarship reicipieints using thei k-neiiareiist neiighbor reiseiarch meithodology to obtain thei beist accuracy reisults of 100% from a total of 46 training data, 15 teisting data and a K valuei of 1. Of thei 10 flavors of Hj Eiiliya Teiibing Tinggi Peianut Breiad , it was found that thei beist flavor variants baseid on saleis weirei thei flavor variants that had GOOD characteiristics, nameily thei chocolatei, chocolatei cheieisei, greiein beian and black/meiirah flavor variants.
Sistem Pendukung Keputusan Menggunakan Metode SAW dan TOPSIS untuk Memutuskan Penerima Reward Karyawan Terbaik di McD Pancing Cindy Ananda Putri; Abdul Halim Hasugian
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (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.v7i1.38231

Abstract

In every industry or institution, there will definitely be a reward in the form of income for employees as compensation for the work they have done. Apart from giving out main income rewards to employees, each industry or institution often gives out rewards in addition to main income to encourage the productivity and abilities of its employees. The rewards given to McD Pancing employees are in additional form and will be given outside of their main income. Evaluation of employee abilities is based on benchmarks that have been established by the institution. However, currently the system of giving rewards to McD Pancing employees has various shortcomings, such as giving rewards which are being tried based on individual analysis and the assessment is still individual, not transparent, less efficient and there is little precision or accuracy in giving rewards. To help select McD Pancing employees who are competent to receive rewards appropriately and carefully and respond to problems that arise, a Decision Support System (DSS) is needed as a solution to these cases. The expertise of the system for collecting decisions uses methods that have been created so that it is hoped that the assessment method will be much more accurate, efficient and efficient using the TOPSIS and SAW methods. The TOPSIS method is based on the design that the best filtered substitute not only has the shortest distance from the positive perfect solution but also has the longest distance from the minus perfect solution. Based on the results of this research, it is proven that employees who receive rewards as the best employees according to the SAW and TOPSIS method calculations are determined by employees with SAW calculation results of 87.06 and TOPSIS calculation results of 0.679 and mixed results of 43.89.
Wahdatul Ulum Course Mobile Application Using Software Development Life Circle (SDLC) Method Yusuf Ramadhan Nasution; Abdul Halim Hasugian
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.4092

Abstract

During a pandemic like now, ways to improve the quality of learning activities really require the application of technology and learning tools to support the process of teaching and learning activities. Technological developments make it easier to access existing learning tools. Today's learning tools must be accessible to many people and without any limitations of space and time. The application will be made as attractive and interactive as possible for its users. The application is designed to be mobile based and uses the Android operating system. Application development is supported by Google Android. The designed learning mobile device application includes syllabus, RPS, open materials and other supports. The application will be made as attractive and interactive as possible for its users. The application is designed to be mobile based and uses the Android operating system. Application development is supported by Google Android. The software development model used is the Software Development Life Circle (SDLC) model.
Perancangan Aplikasi Puzzle Game Dengan Menggunakan Algoritma Breadth First Search Abdul Halim Hasugian; Suhardi Suhardi; Mufliha Afiksih
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol. 7 No. 1 (2024): J-SISKO TECH EDISI JANUARI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v7i1.9464

Abstract

Telah dilakukan penelitian yang bertujuan: (i) Merancang sebuah aplikasi puzzle game yang dapat menelusuri 8 Planet Dalam Tata Surya, (ii) Menerapkan algoritma Breadth First Search (BFS) ke dalam rancangan aplikasi puzzle game. Perancangan aplikasi Puzzle Game ini menggunakan metode Breadth Fisrt Search dengan software visual studio 2019 dan menggunaan bahasa VB.Net. Penelitian ini memvariasikan potongan puzzle dari 9 pieces, 16 pieces dan 36 pieces. Permainan puzzle ini diselesaikan dengan menggunakan bantuan struktur pohon pelacakan (search tree). Penelitian ini diambil berdasarkan hasil observasi yang dilakukan di SD Negeri 023891 Binjai pada tanggal 18 s/d 19 oktober 2022. Hasil dari penelitian berhasil membuat aplikasi yang dapat digunakan sebagai sebuah penerapan algoritma Breadth First Search untuk aplikasi puzzle game menggunakan VB.Net. Untukpenyelesaiannya menggunakan satu kasus yaitu matriks 3x3. Dengan menggunakan pohon faktor sebagai proses dari pencariannya. Dengan begitu aplikasi ini telah berhasil dibangun dan dapat berfungsi sesuai tujuan.
Sistem Pendukung Keputusan Dalam Pemilihan Skincare Berdasarkan Jenis Kulit Menggunakan Metode SAW Indah Alfitri Lubis; Abdul Halim Hasugian
Progresif: Jurnal Ilmiah Komputer Vol 20, No 1: Februari 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v20i1.1771

Abstract

AbstractSkincare is one of the main things that can be done for a woman or man who wants to have healthy and radiant skin. facial skin problems (acne) become one of the skin diseases that often occur with a percentage of about 85-100% due to skincare selection errors. The purpose of this study is to apply the Simple Additive Weight (SAW) method in calculating data to determine skincare products that are suitable for facial skin types and to determine the design of a decision support system website for selecting skincare products that are suitable for facial skin types using the help of a MySQL database. The results of the study using the SAW method help alternative weighting and criteria with a weight scale of 1-5 and alternative weighting ranking using the SAW method to get the final score. Rank 1 is obtained by AC-Ttack Anti-Acne Facial with a final value of 1.22 and rank 15 is obtained by CORSX Low pH Good Morning with a final value of 0.51, therefore CORSX Low pH Good Morning is the best product priority.Keywords: Simple Additive Weigthing; Decision Making Systems; Skincare. AbstrakSkincare merupakan salah satu utama yang bisa dilakukan bagi seorang wanita maupun pria yang ingin memiliki kulit yang sehat dan berseri. permasalahan kulit wajah menjadi salah satu penyakit kulit yang sering terjadi dengan presentase sekitar 85-100% akibat kesalahan pemilihan skincare. Tujuan penelitian ini menerapkan metode Simple Additive Weight (SAW) dalam perhitungan data untuk menentukan produk skincare yang sesuai dengan jenis kulit wajah dan mengetahui perancangan sebuah website sistem pendukung keputusan pemilihan produk skincare yang sesuai dengan jenis kulit wajah menggunakan bantuan database MySQL. Hasil penelitian Dengan menggunakan metode SAW membantu pembobotan alternatif dan kriteria dengan skala bobot 1-5 dan pembobotan alternatif perangkingan menggunakan metode SAW untuk mendapatkan nilai akhir. Rangking 1 didapatkan oleh AC-Ttack Anti-Acne Facial dengan nilai akhir yaitu 1.22 dan ranking 15 didapatkan oleh CORSX Low pH Good Morning dengan nilai akhir yaitu 0.51, oleh karena itu CORSX Low pH Good Morning paling prioritas produk terbaik.Kata kunci: Simple Additive Weigthing; Decision Making Systems; Skincare.
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, 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