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All Journal Jurnal TIMES Telematika CESS (Journal of Computer Engineering, System and Science) Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTERNATIONAL JOURNAL ON LANGUAGE, RESEARCH AND EDUCATION STUDIES JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal Ilmiah Media Sisfo Petir J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurasik (Jurnal Riset Sistem Informasi dan Teknik 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) Edumaspul: Jurnal Pendidikan Generasi Emas: Jurnal Pendidikan Islam Anak Usia Dini JUSIM (Jurnal Sistem Informasi Musirawas) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JiTEKH (Jurnal Ilmiah Teknologi Harapan) IJISTECH RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Mitra Akademia: Jurnal Pengabdian Masyarakat Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Bulletin of Computer Science Research Journal of Informatics Management and Information Technology Journal of Social Responsibility Projects by Higher Education Forum KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Bulletin of Information Technology (BIT) Bulletin of Data Science sudo Jurnal Teknik Informatika Hello World Jurnal Ilmu Komputer Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Journal of Computing and Informatics Research Journal of Informatics, Electrical and Electronics Engineering Jurnal Teknologi Informasi Mura Bulletin of Informatics and Data Science Journal Global Technology Computer

Mesran, Mesran

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Author-ID : 636925

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Sistem Pendukung Keputusan Pemilihan Pelajar SMK Terbaik Di Kota Medan Menggunakan Metode Weighted Sum Model Rio Irwansyah; Mesran Mesran
Journal of Information System Research (JOSH) Vol 3 No 3 (2022): April 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Decision Support System (DSS) is a system that can assist leaders in making decisions that are accurate and targeted. Many problems that can be solved using SPK, from some of these problems one of which is the Decision Support System Selection of Vocational High School students in Medan. Of the many Vocational High Schools located in the city of Medan in the Education Office, it is certainly very difficult to find the best students from some Vocational High School. This is because every school must have its own advantages and advantages and this will make it difficult for the Education Office to determine the best Vocational High School students. From the problems encountered, the use of a Decision Support System is expected to be the right solution. Because there are several alternatives and criteria that can influence in generating a decision. There are several methods used in building DSS such as, WSM, AHP, TOPSIS, WP, SAW. In this research, the researcher uses the Weighted Sum Model (WSM) method which is believed to solve the problems faced by the Education Office in selecting the best Vocational High School students

Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) Dalam Penerimaan Karyawan Perjanjian Kerja Waktu Tertentu (PKWT) Nona Oktari; Mesran Mesran; Dito Putro Utomo; Soeb Aripin; Abdul Karim
Journal of Information System Research (JOSH) Vol 3 No 3 (2022): April 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Certain Employment Agreement Employees (PKWT) or can also be referred to as contract employees in a company who are hired to help work within the company, but it is not certain how it is implemented based on only being a temporary employee. In a sense, after it expires, the company can extend or lift the contract as a permanent employee, by looking at how active the employee is. In the process of selecting PKWT employees, the company must obtain prospective applicants objectively so that the results match the desired criteria. In the process of hiring PKWT employees there are problems, namely because of the large number of candidates so that it takes a long time to select them. The next problem is that the selection process still looks inefficient and takes time, because the assessment and results of PKWT implementation are carried out in stages, such as file selection, interviews and so on. Thus, it is likely that errors in the final result of anticipating PKWT employees often do not meet the criteria required by the company and hinder the company's performance. Therefore, a Decision Support System (SPK) is needed to overcome the problems that occur in the acceptance of Specific Time Agreement Employees (PKWT) using the OCRA method. The OCRA method is one of the methods of the Decision Support System, where this method makes decisions by ranking from the smallest value to the largest value. With this system, it is expected to be able to obtain optimal system decisions and can minimize the performance of the company in the process of accepting Employees of Specific Time Work Agreements (PKWT).

Sistem Pendukung Keputusan Penerimaan Account Officer Menerapkan Metode EXPROM II (Studi Kasus: Bank Sumut) Santri W Pasaribu; Dito Putro Utomo; Mesran Mesran
Journal of Information System Research (JOSH) Vol 1 No 3 (2020): April 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.388 KB)

Account Officers are the main part that handles credit analysis and are required to have expertise and skills and have mastery of theoretical knowledge. The process of accepting an Account Officer (AO) is often a problem that needs to be dealt with, so far the process of accepting an Account Officer (AO) depends only on the administrative aspects or it can be said to be merely file selection without regard that applicants have the ability in that position. The need to get employees working as Account Officers (AO) is not an easy problem, many problems can be solved by using SPK. The method used in the Account Officer acceptance decision support system is the extended promethee II (EXPROM II) method. Exprom II is one of the methods of determining the order or priority in multi-criteria analysis. Exprom II compares one alternative to another and calculates the distance, the difference in alternative pairs in order to produce an output that is alternative ranking based on the highest flow value. It is hoped that the results of this study can help the bank in North Sumatra in determining the account officer who is suitable to work at the bank in North Sumatra

Optimalisasi dalam Penentuan Keputusan Level Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) Menerapkan Metode Preference Selection Index Rohan Kristini Purba; Dendy Frans Gunawan Hutagalung; Ebenezer Maston Sinaga; Agustina Sidabutar; Mesran Mesran
Journal of Information System Research (JOSH) Vol 3 No 2 (2022): Januari 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

The Covid-19 pandemic is a disaster for the entire world, even affecting all aspects of human life, both in terms of economy, social and culture. Therefore, the government enacted a regulation called Large-Scale Social Restrictions (PSBB) to stop the spread of COVID-19. In this case, the government makes a policy to change the Large-Scale Social Restrictions (PSBB) into the Enforcement of Community Activity Restrictions (PPKM) where the PSBB Restrictions are stricter than the Enforcement of Community Activity Restrictions (PPKM). Because the absence of a system makes it difficult for the government and requires a long time in determining the level of implementation of restrictions on community activities (PPKM). In order to assist in determining the level of PPKM, a decision support system is needed. The Preference Selection Index (PSI) method is a method used in a decision support system using simple steps in problem solving. The results of the research obtained that the highest rank is A7 with a value of 0.767 as level 1. By using the range on the PPKM level so that level 1 is Sibolga. Level 2 does not exist in the above alternative. Level 3 is terrain, Binjai, Pematang Siantar, Tebing Tinggi, Gunung Sitoli, Padang Sidimpuan, Tanjung Balai, Samosir and Kisaran and level 4 is not in the alternatives.

Comparative Analysis of MOORA and MOOSRA Methods in Determining Prospective Students Recipient of the Indonesian Smart Card (KIP) Mesran Mesran; Fince Tinus Waruwu
Journal of Information System Research (JOSH) Vol 3 No 4 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

The Smart Indonesia Card (KIP) is a government program breakthrough in equitable distribution of education development throughout the country. The Smart Indonesia Card is here for those who cannot afford to continue their education to a higher level. It is hoped that the existence of the Smart Indonesia Card can create human resources who can compete and innovate in national and international development. In the process of giving the Smart Indonesia Card So far, there are still many problems. To be right on target for Indonesia Smart Card recipients, it is necessary to first consider using a Decision Support System. Comparison of the MOORA and MOOSRA methods in determining prospective students who receive the Smart Indonesia Card with 5 alternatives and 5 criteria. Then the calculation using the MOORA method produces an optimization value of 0.12205 on alternative A2 while sample calculation data using the MOOSRA method produces an optimization value of 1.78948 on alternative A4 as the first rank.

Sistem Pendukung Keputusan Menentukan Sales Terbaik Menerapkan Metode Simple Additive Weighting (SAW) Rima Tamara Aldisa; Fifto Nugroho; Mesran Mesran; Susi Agustini Sinaga; Kelik Sussolaikah
Journal of Information System Research (JOSH) Vol 3 No 4 (2022): Juli 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

In this study, the author uses the SAW (Simple Additive Weighting) method to determine the best sales at marketing company. The SAW method is considered appropriate in determining the best sales because the SAW method performs the weighted summation process of the performance rating on each alternative on all attributes. This research was conducted by determining the criteria, alternatives and weights, then carried out the matrix preparation process, calculating normalization and calculating preferences. So from the results of the calculation of preferences, a ranking process is carried out to determine the best alternative. The results of the study provide recommendations for the 6th alternative which has the highest value with a value of 0.879 being the best sales.

Penerapan Metode WASPAS Dalam Pemilihan Perguruan Tinggi Bagi Siswa Sekolah Juanda Hakim Lubis; Debi Gusmaliza; Mesran Mesran
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

There are so many high school students who do not understand their own criteria because they are confused about choosing the best college. So that most students choose colleges according to the interests of their friends, without finding out which colleges match their criteria. Not even a few of these students follow the directives of their parents. As a result of this, it causes major errors, regrets studying at these institutions and some even move and some even stop. Though each major is tailored to the wishes of students in the future. So that these problems can be solved, then a decision support system is made which will make it easier for students who want to continue to a bachelor's degree or diploma. There are many methods used in decision support systems, one of which is used in this study is the WASPAS method. The way WASPAS works is easy to reach, resulting in a sequence of universities and majors according to their respective criteria, starting from the highest to the lowest. After being applied with the WASPAS method, the final result is the best alternative in alternative A2 with a result value of 14,297.

Penerapan Metode Maut Dengan Pembobotan Entropy Dalam Sistem Pendukung Keputusan Penilaian Kinerja Guru Honor Nola Dita Puspa; Mesran Mesran; Annisa Fadillah Siregar
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4030

The author examines the Smart Pure Vocational School, because the school has problems in assessing the performance of the best honorary teachers. Where the presence of a large number of teachers, of course, affects the speed of the assessment process and the accuracy in assessing the performance of the best honorary teachers. So the researchers created a decision support system that could assist the school in the process of evaluating honorary teacher performance. In a decision support system that is carried out using the MAUT method with Entropy weighting, where Entopy weighting is used to determine the criterion weight value of each predetermined criterion while the MAUT method is used to produce ranking results based on the alternatives and criteria that have been determined. So the results obtained from the decision support system that has been built using the MAUT calculation method with Entropy weighting, are very aimed at facilitating the Smart Pure Vocational School in the process of evaluating the performance of the best honorary teachers objectively, quickly and precisely. So as to produce results with a value of 0.9611 from alternative A12 on behalf of Siti Maimunah.

Penerapan Metode MAUT dalam Penentuan Karyawan Berprestasi dengan Pembobotan ROC Dimas Hadityo Ramadan; Mesran Mesran; Rian Syahputra
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4151

PT. Gruti Lestari Pratama Mandailing Natal is part of the Mujur Group which was founded on May 1, 1996 with a head office in Medan and oil palm plantations and a palm oil mill located in Mandailing Natal, North Sumatra. In an effort to improve the performance of the employees, PT. Gruti Lestari Pratama Mandailing Natal determines the outstanding employees every year. The purpose of determining outstanding employees is to improve the performance of each employee which can support the progress of the company. In determining outstanding employees, PT. Gruti Lestari Pratama Mandailing Natal evaluates only one assessment, namely achievement, even though there are several other criteria that can be used as criteria for determining outstanding employees such as discipline, responsibility, achievement, cooperation, attendance and letters of reprimand. Some of these criteria will be a more effective assessment of the previous assessment of the determination of outstanding employees at PT. Gruti Lestari Pratama Mandailing Natal. In determining outstanding employees, a decision support system (SPK) is needed. SPK in this study uses the MAUT method with ROC weights. The result of the best alternative decision is the A9 alternative on behalf of "Riswandi" with a value of U_i = 0.785 which was selected as an outstanding employee at PT. Gruti Lestari Pratama Mandailing Christmas.

Perbandingan Metode TOPSIS dan WASPAS Dalam Sistem Pendukung Keputusan Pengangkatan Jabatan Manager Juanda Hakim Lubis; Mesran Mesran
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4359

Performance appraisal and appointment of managerial positions are crucial aspects of modern organizational management. In dealing with the complexity of the factors that influence this decision, a decision support system (DSS) is an important tool to help make the right decision. In this study, the authors made a comparison between two popular methods in SPK, namely the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Aggregated Sum Product Assessment (WASPAS), to support the process of appointing a manager's position. The TOPSIS method relies on the concept of geometric distances to rank alternatives based on proximity to positive and negative ideal solutions. On the other hand, the WASPAS method assigns weight to each criterion and calculates the aggregate results for each alternative, resulting in a ranking based on the highest score. This study involved a dataset containing diverse and complex performance evaluation criteria for prospective managers. The experimental results show that both methods have their own strengths and weaknesses in generating alternative rankings. The TOPSIS method provides a more stable and consistent solution in dealing with variations in sensitivity to changes in criteria weights, while the WASPAS method tends to be more adaptive to scenarios where the relative preferences between criteria differ. In the context of appointing a manager, choosing the DSS method that is appropriate to the characteristics of the organization and the preferences of decision makers is a determining factor. Both of these methods can provide valuable guidance to decision makers in selecting the most suitable candidates for managerial positions. Therefore, an in-depth understanding of the differences and practical implications of the TOPSIS and WASPAS methods is essential in the context of intelligent and efficient decision making. The results of the comparison between the TOPSIS and WASPAS methods show that the results of both have the same highest rank, namely in alternative 9 in the name of Muhammad Faisal.

Co-Authors A M Hatuaon Sihite A.A. Ketut Agung Cahyawan W Abdi Harfani Abdul Halim Abdul Karim Abdul Karim Ade Ayunda Kusuma Ade Priyatna Ade Tursina Adinda Rahmadhani Adinda Rezeki Samosir Afriany, Joli Afriyani Nasution Afsah Rizki Ageng Puspita Pratidina Agung Triayudi Agus Perdana Windarto Agus Perdana Windarto Agustina Sidabutar Ahlan Ismono Ahmad Yanda Akbar Iskandar Al-Hafiz, Nofri Wandi Al-Hafiz, Nofri Wandi Alexius Ulan Bani Alwin Fau Amanudin Harahap Andreas Gerhard Simorangkir Andreas Gerhard Simorangkir Andsyah Putera Utama Siahaan Andysah Putera Utama Siahaan Andysah Putera Utama Siahaan Andysah Putera Utama Siahaan, Andysah Putera Utama Anisa Anisa Annisa Fadillah Siregar Annisa Siregar Arahman Harahap Arahman Harahap Ardinsah Ardinsah Arifin, Soeb Arifin, Soeb Arina Mana Sikana Ariska, Melinda Arjun Nainggolan Armanila Armanila Asep Toyib Hidayat Asia Arinanda Singarimbun Asruddin Asyahri Hadi Nasyuha Bahagia Elfrando Nababan Bister Purba Budianto Bangun Butarbutar, Lambok Harry OA Chandra Frenki Sianturi Cici Alfiani Pradika Dita Dahanum, Ismay Darma Setiawan Putra Darmawan Napitupulu Debi Guzmaliza Deby Monalisa Simanjuntak Dede Winta Sipahutar Delvi Syahfitri Dendy Frans Gunawan Hutagalung Desyanti Desyanti - Desyanti Dian Yunita Sihombing Dikki Handoko Dimas Hadityo Ramadan Dinda Saputri Gea Dirja Hasibuan Dodi Siregar Dodi Siregar Dodi Siregar Dormian Sihombing Dwika Assrani Dwina Pri Indini Ebenezer Maston Sinaga Efori Buulolo Eka Murlisah Eka Pratiwi Sumantri Eko Maruli Tua Situmorang Elisabet Simbolon Elsa Pratiwi Emmy Syafitri Erlin Windia Ambarsari Fadlina Fahrul Mahdi Faisal Fajar Syahputra Fatimah Nadratul Hakim Fatiyah Saidah Fatiyah Saidah Fazlur Rahman Febrianus Gea Fifto Nugroho Fince Tinus Waruwu Fince Tinus Waruwu Fira Aulia Nadia Fitry AF Togatorop Frans Pernando Hutagaol Friska Irma Yanti Garuda Ginting Ginting, Permanan Ginting, Permanan Guidio Leonarde Ginting Hadar Putra Daulay Hany Maria Valentine Harahap, Arahman Hari Utari, Hari Harmayani Hasnah Siahaan Hasnil Aida Henry K Siburian Heri Nurdiyanto Hetty Rohayani Hikma Widayu Hotmoko Tumanggor Hotni Sari Harahap Hutabarat, Sumiaty Adelina Hutagalung, Siti Nurhabibah Hutapea, Betrik J Hutapea, Betrik J I Gede Iwan Sudipa Ida Mayanju Pandiangan Ida Rizky Nasution Ikhwan Lubis Imam Saputra Imam Saputra Imam Saputra Imam Solihin Iman Judi Tua Situmeang Imelda Sinaga Irma Irma Irwan Irwan Ismay Dahanum Iwan Purnama Jeremiati Sitorus Jeremiati Sitorus Joko Saputro Juanda Hakim Lubis Juanda Hakim Lubis Juanda Hakim Lubis Jufriadif Na`am, Jufriadif Jumpa Dorisman Rajagukguk Junus Dohar Manik Kamalia Safitri, Kamalia Kasta Yudha Siahaan Kasta Yudha Siahaan Kelik Sussolaikah Kennedi Tampubolon Kermanosiavic Noverdianto Siahaan Khairul Adha Khairul Adha, Khairul Khairul Imtihan Khairunnisa Khairunnisa Khasanah Khasanah Kiki Andika Kristian Siregar Kurnia Ulfa Kurnia Ulfa Kusmanto Kusmanto Lidia K Simanjuntak Lidia Kristiani Simanjuntak Lidya Puspita Dewi Lince Tomoria Sianturi Lubis, Ikhwan Lubis, Utami Rahma Sari Lubis, Utami Rahma Sari Maharani Maharani, Maharani Maret Sitanggang Maringan Sianturi Marlya Fatira AK Mawan Br Hutahaean Mega Oktaviani Pohan Mei Mariana Boangmanalu Melda Panjaitan Melinda Ariska Mentari Ananda Hasmi Meryance V Siagian Meryance V Siagian Miranda, Rina Mizwar, Tedi Mohammad Taufan Asri Zaen Muhammad Irfan Muhammad Luthfi Akbar Muhammad Rizky Ramadhan Muhammad Syahril Muhammad Syahrizal Muhammad Tri Vaneza Muhammad Waqas Arshad Muhammad Yusuf Batubara Murdani Murdani Murdani Murdani Murdani, Murdani Nanda Sopianto Nasrul Hidayat Harahap Nasution, Annio Indah Lestari Natalia Silalahi Natalia Silalahi Natalia Silalahi Natalia Silalahi, Natalia Nelly Astuti Hasibuan Nelly Khairani Daulay Nelly Khairani Daulay Niken Aprilia Nizam, Muhammad Khairul Nofri Wandi Al Hafiz Nola Dita Puspa Nona Oktari Noveriang Ndruru Nuning Kurniasih Nur Sakinah Tanjung Nurhabibah, Siti Nurhabibah, Siti Nurmayana Sari Nursaka Putra Nurul Aini Nurul Huda Panjaitan, Melda Panjaitan, Melda Partogi Simanjuntak Paska Miranda Sitanggang Perani Rosyani Permanan Ginting Permanan Ginting Prabowo, Widodo Arif Pratidina, Ageng Puspita Pristiwanto Pristiwanto Pristiwanto Pristiwanto, Pristiwanto Puji Sari Ramadhan Putra Heri Putri Chairunisyah Putri Ramadhani Putri Ramadhani, Putri Putri Sianturi Rabli Hari Mulia Rahma Yuni Simanullang Rahmi Ramadhani Raja Yusuf Rakhmi Khalida Ramadhan, Puji S Ramadhan, Puji S Ramadhan, Saidi Rani Patricia Manalu Reflan Revife Purba Restu Riadi Ria Ramadhani Syahputri Rian Syahputra Ricard Ricardo Rima Tamara Aldisa Rio Irwansyah Riska Aryanti Riski Ferita Wahyu Rita Megawati Siburian Rizka Pratiwi Rohan Kristini Purba Rohan Kristini Purba Rohminatin, Rohminatin Ronda Deli Sianturi Rosaima Situmorang Royanti Manurung Rudi Sidabutar Rusiana Rusiana S Sunaryo Safrizal Barus Sagala, Gamrina Saidah Rizki Tanjung Saidi Ramadhan Saiful Akhyar Lubis Saiful Nur Arif Salsabila Edrin Samuel Ramos Santri W Pasaribu Sanwani Sanwani Sardima Siregar Sari Hafizoh Sari, Herlina Sari, Sri Indah Sarpita Laia Sarwandi Wandi Sarwandi, Sarwandi Sekar Ayu Lestari Selpi Anita Setiawansyah Setiawansyah Setiawansyah Shinta Esabella Siagian, Meryance V Siahaan, Martina Klarasia Sianturi, Putri Siburian, Henry Kristian Silalahi, Yohanna Silalahi, Yohanna Simamora, Lita Martauli Simanjuntak, Lidia Kristiani Simanjuntak, Paulus Simanullang, Rahma Yuni Sinaga, Putra Sejati Siregar, Agnes Siregar, Agnes Siti Hummairoh Siti Khairunnisa Siti Muntari Siti Nurhabibah Hutagalung Siti Nurhabibah Hutagalung Siti Nurhalizah Sitompul, Noferianto Situmorang, Pandia Gunawan Situmorang, Pandia Gunawan Soeb Aripin Solihin, Imam Sonya Malinda Harahap Soraya Rahma Hayati Sri Wulan Sri Wulan, Sri Sriwahyuni Hutagalung Suci Hildayani Suginam Suginam Suha Alvita Sunaryo, S Supiyandi Supiyandi Supriyanto Surya Darma Nasution Susi Agustini Sinaga Sutiksno, Dian Utami Swandi Dedi Arnold Pardede Syafrida Hafni Sahir Syahputra, Fajar Syariah Hafizhoh Tambusai, Robbi Tanjung, Rizki Yanur Taronisokhi Zebua Teddy Erlambang Teddy Tedi Mizwar Tesa Aurelia Siregar Tessa Y M Sihite Theresya Yohana Jesica Nainggolan Tiurima Tampubolon Tongam Panggabean Trans Ningsih Try Wahyudi, Try Uswatun Hasanah Vera Meikana Sitorus Vriska Amanda Wahyu Harry Bai Lumbanbatu Wanto, Anjar Watrianthos, Ronal Widodo Arif Prabowo Widya Indah Safitri William Ramdhan Wily Julitawaty Wulan Kartika Murti Yanto Murnihati Waruwu Yarimani Laia Yasir Hasan Yeni Setiani Yessika Floriana Manalu Yosa`aro Zai Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Yustinus Zai Zahri Hubby Ramadhani Zay, Rani Aflisa Zaza Mutiara Arini Zulkifli Zulkifli Zuriatul Husna

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