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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 JSR : Jaringan Sistem Informasi Robotik 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 Pemberdayaan Sosial dan Teknologi Masyarakat Innovative: Journal Of Social Science Research 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 Teknologi : Jurnal Ilmiah Sistem Informasi
Abdul Halim Hasugian
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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 Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Algoritma ROC dan MOORA dalam Pencarian Buku di Perpustakaan Umum Kabupaten Labuhanbatu Putri, Pebriani; Hasugian, Abdul Halim
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 Auliani, Wirna Rizka; Hasugian, Abdul Halim
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 Putri, Cindy Ananda; Hasugian, Abdul Halim
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.
Pemanfaatan Metode TOPSIS untuk Menentukan Kualitas Minyak pada Buah Sawit Hasugian, Abdul Halim; Irawan, Muhammad Arief
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (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.v7i3.40815

Abstract

This research discusses the utilization of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to determine the quality of oil in palm fruits. The palm oil industry is an important economic sector for Indonesia, significantly contributing to national income and the welfare of farmers. The quality of oil produced from palm fruits is a crucial factor affecting palm oil production. The TOPSIS method is used in this study because of its ability to synthesize various factors influencing oil quality, including moisture content, oil content, and the percentage of loose fruits. This method allows researchers to rank and evaluate oil quality based on its proximity to the ideal solution. In this study, each quality factor is weighted and analyzed to determine the palm fruits with the best oil quality. The results of applying the TOPSIS method in this study show that the use of this method is effective in identifying the optimal quality of palm fruit oil based on relevant criteria. The information generated from this research can provide valuable insights for palm oil farmers and producers. Additionally, the application of the TOPSIS method helps stakeholders optimize harvest time to enhance oil quality optimally and provides further understanding of the correlation between the quality of palm fruit oil and the resulting palm oil quality.
Upaya Pencegahan Stunting Melalui Pembagian Bubur Kacang Hijau Pada Masyarakat Desa Baru Pasar 8 Azhari, Wahyu; Marpaung, Rizq Alwi; Aulia, Rizka; Jannah, Miftahul; Hasibuan, Ardina Khoirunnisa; Sabuki, Robi; Hasugian, Abdul Halim
Innovative: Journal Of Social Science Research Vol. 4 No. 5 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i5.15318

Abstract

Stunting pada balita merupakan masalah kesehatan yang signifikan di Indonesia, di mana kekurangan gizi dalam jangka waktu yang lama, bahkan sejak masa kehamilan, menjadi salah satu penyebab utamanya. Menurut United Nations International Children’s Emergency Fund (UNICEF), pada tahun 2020, diperkirakan terdapat 149,2 juta anak di bawah usia lima tahun yang mengalami stunting. Data dari Badan Kesehatan Dunia menunjukkan bahwa Indonesia menempati peringkat ketiga dalam kasus stunting global, dengan prevalensi mencapai 37%, dan data terbaru menunjukkan sekitar 24% anak di Indonesia mengalami pertumbuhan yang tidak optimal. Dalam upaya pencegahan stunting, penelitian ini melaksanakan program pemberian makanan tambahan (PMT) berupa bubur kacang hijau kepada masyarakat Desa Baru Pasar 8. Kegiatan ini dilaksanakan pada tanggal 5 Agustus 2024 dan dihadiri oleh lebih dari 30 peserta, termasuk ibu hamil dan keluarga. Program ini terdiri dari beberapa tahapan, yaitu observasi lokasi, penyuluhan kesehatan mengenai stunting, dan pemberian makanan tambahan. Penyuluhan kesehatan bertujuan untuk meningkatkan pengetahuan masyarakat tentang penyebab dan dampak stunting, serta cara-cara pencegahannya, dengan penekanan pada pentingnya asupan gizi yang baik selama 1000 hari pertama kehidupan anak. Hasil dari kegiatan ini menunjukkan bahwa partisipasi aktif masyarakat sangat baik, yang tercermin dari kehadiran peserta. Kerja sama antara mahasiswa dan pihak posyandu juga memperkuat upaya kolaboratif dalam pencegahan stunting. Diharapkan, melalui program ini, tidak hanya angka stunting dapat berkurang, tetapi juga status kesehatan keluarga secara keseluruhan dapat meningkat. Program ini berpotensi memberikan manfaat ekonomi bagi masyarakat melalui peningkatan pengetahuan dan keterampilan dalam pengelolaan gizi yang baik
Wahdatul Ulum Course Mobile Application Using Software Development Life Circle (SDLC) Method Nasution, Yusuf Ramadhan; Hasugian, Abdul Halim
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.
Fuel Usage Towards UINSU Tuntungan Campus using Greedy Algorithm Alfarizi, Muhammad; Hasugian, Abdul Halim
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (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.v13i4.4284

Abstract

Universitas Islam Negeri Sumatera Utara (UINSU) is one of the growing higher education institutions in Tuntungan, Medan. As a university that continues to improve the quality of education and facilities for its students. Inefficient use of fuel can lead to waste of resources, increased operational costs, as well as a negative impact on the environment. This research aims to develop and implement greedy algorithm in determining efficient travel routes for students, lecturers, and administrative staff to UINSU Tuntungan campus. The results showed that the Greedy algorithm proved effective in determining the shortest route between several points, the test results showed that this application was able to generate the optimal route quickly. Users can easily determine the shortest path and estimate fuel requirements for travel to campus so that this application is very helpful in efficient travel planning.
Decision Making System for Race Car Modification Vleg Selection Using AHP and Moora Method Alhabib, Muhammad Farhan; Hasugian, Abdul Halim
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (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.v13i4.4248

Abstract

In the market, there are many different brands and types of modified vlegs, making vehicle owners often confused in making the optimal decision. Therefore, it is very important to have a decision-making system that can help vehicle owners in choosing the best modified wheels based on relevant criteria). In this study, researchers will develop a decision-making system that uses the Analytical Hierarchy Process (AHP) and Multi-Objective Optimization by Ratio Analysis (MOORA) methods to help vehicle owners in choosing the best modified wheels that best suit racing needs. In applying the AHP and MOORA algorithms to the SPK for selecting car tire wheels, 4 criteria are used, namely suitability, price, durability and design. Suggestions for further research can be used to add other relevant criteria in the selection of car tire wheels.
Determining Customer Satisfaction Level to Determine Batik Business Development Using Naive Bayes Algorithm Arif, Mhd. Fakhrozi; Hasugian, Abdul Halim
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (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.v13i4.4283

Abstract

Batik is one of the cultural heritages that must be preserved and developed. every business actor must experience very tight competition conditions, namely in the batik clothing business. Customer satisfaction is a very important aspect to pay attention to in order to increase business profits. The purpose of this research is to make it easier for Batik Berjaya Labuhanbatu Utara to find out what are the factors that affect customer satisfaction for the future development of Batik Berjaya Labuhanbatu Utara's business, and to find out the rediction results by looking at the accuracy of Naïve Bayes so that Batik Berjaya Labuhanbatu Utara can meet customer satisfaction. This research uses the Naive Bayes Algorithm Method whose results can later facilitate batik business managers in making decisions and improving the quality of products and services provided to customers. By calculating the classification results using the Naive Bayes algorithm with a total of 132 data, as a manual calculation, 30 data are used, namely, 80% of the training data totaling 24, 20% of the test data totaling 6 obtained accuracy 83.33%, precision 100%, recall 75%, specifity 100% and f1-score 85.71. Using the Naive Bayes algorithm helps classification, data in the form of attributes and labels are held training data and test data, where training data labeling must be determined at the beginning in the form of categorical information, namely satisfied and dissatisfied, then predictions are made based on the highest data to get satisfied and dissatisfied labels from test data.
Penerapan Metode Simple Additive Weighting (SAW) Dalam Pemilihan Oli Mesin Sepeda Motor Matic Terbaik di Bengkel Sepeda Motor Marwah, Khoirul Wijak Alfaizh; Hasugian, Abdul Halim
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5686

Abstract

The purpose of this research is to analyze and apply the Simple Additive Weighting (SAW) method in the context of determining motor oil brands, collect and process data on motor oil alternatives available on the market and evaluate the results of motor oil selection using the SAW method. This research identifies research variables adopted based on motorcycle engine oil criteria using the Simple Additive Weighting (SAW) method. There are four variables that form the basis of evaluation to determine the most popular shockbreaker brand: Size (C1), Type (C2), Viscosity (C3), Price (C4). The results of the study concluded that through the integration of the SAW method, researchers succeeded in building a comprehensive framework for evaluating relevant criteria in oil selection. The test results show that SAW is able to provide relative weights for each criterion used in this study and successfully rank oil alternatives based on the normalized value of each criterion. Based on the calculation results shown in the decision support system application, the first recommendation is Enduro Matic V followed by Yamalube Engine Oil Super Matic with a value of 1 and Shell Advance AX7 Scooter at rank 2 with a value of 0.96 and rank 3 AHM Oil Matic SPXX2 with a value of 0.863. The application that has been designed has a fairly good page display so that it provides convenience to users.
Co-Authors Abdillah, Ibnu Faiz Adam Damiri Manurung Adi Hartono Aditya Maulana Azanzi Girsang Afandi Sahputra Afiksih, Mufliha Afriani, Dina Aidil Halim Lubis Aidil Halim Lubis Ajeng Dwi Pratiwi Alfarizi, Muhammad Alhabib, Muhammad Farhan Ali Darta Ali Ikhwan Alwy Azyari Harahap Amalia Daulay, Rizki Amelia Anggraini, Arizka Anggraini, Sindi Annisa Shafira Zuhri Apriani, Puja Arif, Mhd. Fakhrozi Armansyah Armansyah Armansyah Aruan, Nur Jamilah Asrul Suwondo AULIA, RIZKA Auliani, Wirna Rizka Azhar, Joehari Azhari, Wahyu Bandaharo, Bandaharo Bermiko Kasah Padang Bunga Nurul Manisa Dalimunthe, Ayu Sahriani Dea Amallia Deni Fahrizal Dewi Afrianti Dharma, Fahri Dinda Zukhoiriyah Eferoni Ndururu Elsa Azila Rahman Fakhriza, M. Farah Zaida Gema Ramadhan Gilang Armawan Saka Ginting, Masitha Putri Ardhana Girsang, Aditya Maulana Azanzi Gunawan, Gunawan Gunawan, Helmi Hanny Puput Eliyarista Saragih Harahap, Muhammad Fitrah Affandi Harahap, Nasywa Al Afif Hasibuan, Ardina Khoirunnisa Hendra Cipta Heni Pujiastuti Heri Santoso Heri Santoso Heri Santoso HERI SUSANTO Hidayah, Adinda Fita Hidayati, Risma Hsb, Munawir Siddik Ibnu Rusydi Ikhsan, Muhammad Ilham Ilham Ilka Zufria Imam Zaki Husein Nst Irawan, Muhammad Arief Irene Sri Morina Januar, Bagus K Khairunnisa Khaidir Hanafi Khairuna Khairuna Khairunnisa, K Kusuma, Sintiawati Lubis, Akbar Maulana Lubis, Desy Ramadhani Lubis, Indah Alfitri M Mahyudi M. Fakhriza M. Khalil Gibran M. RIZKY RAMADHAN M.Alif Fahrezy Mahara, Elvida Futri Maimunah Rahmadani Marpaung, Rizq Alwi Marwah, Khoirul Wijak Alfaizh Maulida, Dzikra Maya Khairani Mhd Furqan Mhd Ikhsan Rifki Mhd Rafly Syah Pahlevi Miftahul Jannah Muhammad Ezar Raditya Muhammad Ikhsan Muhammad Ikhsan Muhammad Ridzki Hasibuan Muhammad Sayuthi Muhammad Siddik Hasibuan Muhammad Suhery Mulya Alfan Simatupang Murdani Nadyah Almirah Simanjuntak Nasution, Yurika Nst, Fakhrurrozi Nurmaiyah Nurmaiyah Ong, Russell Pazri Prasetio, Muhammad Aditya Prayoga, M. Irsan Pristiwanto, Pristiwanto Putra, Donny Dwi Putri Hanifah Putri, Cindy Ananda Putri, Pebriani Rahadian Fatta Batubara Rahmad Prayogi Harahap Rahmawati Rahmawati Raissa Amanda Putri Rajani, Attila Rakhmat Kurniawan R Ramadhani, Muthia Ramadhani, Silvia Rano, Rano Irawan Reza Muhammad Rijal, Mhd. Nanda Khairul Rina Anggraini, Rina Rina Widyasari Rizki Amalia Rizky Pratama Putra Rizky Ramadhan Rizqi Hidayat Tanjung RR. Ella Evrita Hestiandari Ryo Vikri Alif S, Amri Yuda Sabuki, Robi Saefuddin, Anan Saka, Gilang Armawan 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 Wulan, Sri Sriani Sriani Sriani Sriani, S Suandi Padang Suendri Suendri, Suendri Suhardi Suhardi Suhardi, Suhardi Sulindawaty T. Raihan Yudisthira TONNI LIMBONG Tria Elisa Ulfah, Auliana Wahyudi, Zul Attoriq Farhan Wina Fadia Ardianti Windary, Wanda Yani, Sri Suci Yazid Hulaini Habbani Nasution Yusuf Karim Rambe Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zaidan, Muhammad Zidanul Akbar Ziqra Addilah