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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 TIN: TERAPAN INFORMATIKA NUSANTARA 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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Naive Bayes and Simple Additive Weighting (SAW) Method for Whey Protein Product Selection in Fitness Girsang, Aditya Maulana Azanzi; Hasugian, Abdul Halim
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4022

Abstract

Fitness is one of the most popular muscle-building sports for people of all ages. Meeting the body's protein needs can be through real food (daily food) such as meat, fish, nuts. However, it is not easy to meet daily protein through daily food alone, so with the existence of whey protein products everyone can meet their daily protein needs without having to add more food portions. The number of whey protein products on the market causes confusion among users in choosing the right product for their daily protein needs. The purpose of the research conducted by the author is to classify the types of whey protein products using the Naïve Bayes method and make recommendations for the best whey protein products based on their type using the Simple Additive Weighting (SAW) method. The results showed that in the classification of whey protein product types using the Naïve Bayes method, the Naïve Bayes method can classify well. The accuracy value obtained by the Naïve Bayes method in this study is 66.67%. This value is obtained because there are two products whose classification does not match the predetermined label. Things like this are natural because the probabilities used between products have a range that is not far away. The Simple Additive Weighting method succeeded in ranking the best whey protein products based on the Simple Additive Weighting method where the first rank was occupied by Optimum Nutrition Whey Gold Standard (WGS) with a value of 82.5 and the product with the lowest value was BSN Syntha 6 Ultra Premium Protein Matrix with a value of 22.5.
IMPLEMENTATION OF SUGENO FUZZY LOGIC ON A RICE-EATING BIRD REPELLENT IN RICE FIELDS TO HELP FARMERS BASED ON MICROCONTROLLERS Ikhsan, Muhammad; Hasugian, Abdul Halim; Gunawan, Gunawan
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i2.15031

Abstract

The rapid development of technology in the current era, especially in the field of sensors, has made many technologies that use sensors appear. In the agricultural sector itself, the use of sensor technology is not spared. In the agricultural sector, rice fields also require a tool that can detect pests which are usually done by the manual method. The purpose of this research is to help farmers repel bird pests with automation tools to make it easier to monitor the fields from pests. This study conducted experiments carried out by manipulating the research object. The tools used are Arduino Uno microcontrollers as tool controllers, PIR sensors as detection sensors and servo motors as tool drivers. When a pest is detected by the sensor it is then sent to the device controller in the form of Arduino after which the servo motor moves. From the results of testing all the components of the tool, it can be concluded that the results of the entire system work and function in accordance with the system design, the results of the PIR sensor test can detect objects that pass through the sensor with an average of 120 cm
DECISION SUPPORT SYSTEM TO DETERMINE THE LEVEL OF ADDICTION TO MOBILE LEGENDS ONLINE GAMES USING THE NAÏVE BAYES METHODE S, Amri Yuda; Hasugian, Abdul Halim
ZERO: Jurnal Sains, Matematika dan Terapan Vol 7, No 2 (2023): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v7i2.17922

Abstract

Addiction is liking and possessing something so much that you forget about other things. Gaming addiction is a type of addiction caused by internet technology. Game addiction itself is caused by several factors including Dominion, Timeless, Mood Swing, Healtium, Insocial and, Maladiptive Daydreaming. The purpose of this study is to accurately calculate and classify the level of online game addiction of FST UINSU students. The type of method used is a systematic quantitative analysis method of Naive Bayes Algorithm. After completing the calculation procedure, the search results show that the value obtained is very high at 91.67%. Healtium and Dominum factors are the highest causes of addiction because obviously these two factors have very high weight values
Kombinasi Algoritma Vigenere dan Beaufort Cipher dalam Mengamankan Script Coding Ilham, Ilham; Hasugian, Abdul Halim
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 (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

Cryptography has become an essential aspect in ensuring the security of information and data, especially in the context of script coding that contains secret codes that need to be kept confidential. The problem faced is securing script coding so that it cannot be accessed or modified by unauthorized parties. In this research, we propose the use of a combination of the Vigenere and Beaufort Cipher algorithms to secure script coding. The proposed method involves encrypting and decrypting script coding using both cryptographic algorithms simultaneously. The Vigenere Cipher algorithm is used to protect the integrity and confidentiality of script coding, while the Beaufort Cipher is used as an additional layer to enhance security and prevent attacks. This method is implemented and evaluated using a number of script coding samples that include sensitive secret codes. The results of the method implementation show that the combination of the Vigenere and Beaufort Cipher algorithms successfully improves the security level of script coding. Script coding encrypted using both algorithms becomes difficult to read and modify by unauthorized parties. Additionally, the encryption and decryption processes of script coding run quickly and efficiently, without impeding system performance. This research makes an important contribution to the field of information security, particularly in securing script coding. The combination of the Vigenere and Beaufort Cipher algorithms can be considered an effective solution in maintaining the confidentiality and integrity of sensitive script coding.
Implementasi Fuzzy Mamdani Menentukan Tingkat Kepuasan Penumpang Trans Metro Deli Kota Medan Aruan, Nur Jamilah; Hasugian, Abdul Halim
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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Abstract

Medan City is one of the major cities in Indonesia with a dense population. To meet the transportation needs of the population, the Medan City government launched Trans Metro Deli, a convenient and efficient public transportation service. However, in recent times, the Trans Metro Deli bus has experienced a significant decline in passenger numbers. Therefore, the bus transport management needs to do the right strategy to retain their customers. To overcome this problem, this study aims to evaluate and analyze the level of satisfaction of Trans Metro Deli passengers using fuzzy methods. The Mamdani fuzzy method was chosen because it has a flexible tolerance and the results are more in line with human perception. Through the use of questionnaires, passengers' opinions and expectations are evaluated and calculated using the fuzzy method. Previous research using similar methods has provided effective results in determining passenger satisfaction levels in other sectors. The variables used in this study are facilities, price, service quality, and location. The data was collected from a one-month field study. The Mamdani fuzzy process involves four stages, namely fuzzyfication, inference, rule composition, and defuzzyfication. These stages are used to convert input values into fuzzy outputs that represent the membership level of each variable. The result obtained is 74.4. The results of this study are expected to provide recommendations for improving service quality on Trans Metro Deli buses. Thus, transportation managers can meet passenger expectations and retain their consumers. Through the implementation of Mamdani fuzzy, it is expected to achieve an increase in the satisfaction of Trans Metro Deli passengers in Medan City.
Sistem Pengambilan Keputusan terhadap Kinerja Karyawan Berdasarkan Usia Menggunakan Metode AHP dan MOORA di Lonsum Perkebunan Pulo Rambung Estate Divisi IV Yani, Sri Suci; Hasugian, Abdul Halim
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 Afriani, Dina; 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.v7i1.37159

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 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.
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 Ariansyah, Rino 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 Donny Dwi Putra 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, Mikho Alfatih 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 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 Wanda Windary Wina Fadia Ardianti 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