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Journal : TIN: TERAPAN INFORMATIKA NUSANTARA

Sistem Pendukung Keputusan Penerima Bantuan Covid-19 Menggunakan Metode Simple Additive Weighting (SAW) Simanullang, Rahma Yuni; Melisa, Melisa; Mesran, Mesran
TIN: Terapan Informatika Nusantara Vol 1 No 9 (2021): Februari 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

This study aims to determine the acceptance of covid19 assistance. The COVID 19 pandemic is devastating, resulting in a lot of unemployment. The poverty rate is increasing, and there are also cases of rampant mortality, the mobility of the community itself and security insecurity. With that, the government plans to provide special assistance for people who cannot afford to face the COVID 19 pandemic. The distribution of social assistance as a realization of the social safety net program during the COVID 19 pandemic has worried many homeworkers, starting from reduced income, setting targets to distribution. However, the mechanism for distributing aid often becomes very complicated, or the nominal amount decreases and there is often an inaccurate point of view because the criteria for beneficiaries do not match the data that is inaccurate / does not match the reality in the field, resulting in misunderstandings between the community. In essence, the Simple Additive Weighting (SAW) method is often known as the weighted method. The basic concept of the Simple Additive Weighthing (SAW) method is to find the weighted sum of the performance branches for each alternative on all criteria. The Simple Additive Weighting (SAW) method requires a decision matrix normalization process. So the author uses the Simple Additive Weighting method or it is often said with the term SAW. To solve this problem, namely by using one of the methods to obtain a multiple and complete assessment of criteria with a conferential thinking framework to carry out hierarchical considerations, then calculate the weight of each criterion to determine the priority recommendations for receiving COVID 19 assistance according to the data. On the results of this study.
Penerapan Metode SAW (Simple Additive Weighting) Dalam Pemilihan Siswa-Siswi Berprestasi Pada Sekolah SMK Swasta Mustafa Ramadhan, Muhammad Rizky; Nizam, Muhammad Khairul; Mesran, Mesran
TIN: Terapan Informatika Nusantara Vol 1 No 9 (2021): Februari 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

In the face of the times and the era of technology that is rapidly developing at any time, the development of human resources is a top priority in the national development of the state, the position and position of students, has a very important role in teaching and learning activities for students to improve. Student achievement in academics and non-academic fields, one of the things that motivates students to always develop themselves is to give an award as an outstanding student with the criteria determined by the school. Temporary observations at Mustafa Private Vocational High School in determining outstanding students were done manually. This method is still considered ineffective and inefficient. Based on this, a model for determining outstanding students at Mustafa Private Vocational School is needed with a more efficient and effective system. This system is designed using a decision support system through the Simple Additive Weighting (SAW) method. This system can display the results of the ranking of outstanding students based on the calculation results of the SAW method
Sistem Pendukung Keputusan Seleksi Penerima Beasiswa Menerapkan Metode Weighted Aggregated Sum Product Assessment (WASPAS) Silalahi, Natalia; Tambusai, Robbi; Mesran, Mesran; Sarwandi, Sarwandi; Siagian, Meryance V
TIN: Terapan Informatika Nusantara Vol 2 No 4 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Scholarship is financial assistance given to every student or student with the aim of helping the education that will be taken. Scholarships are usually given by government agencies, foundations, or private companies or state-owned companies. To determine scholarship recipients, there are many criteria that must be possessed by individuals as a society to get scholarships. Each school must have criteria to determine who will be selected to receive the scholarship. The distribution of scholarships is carried out by several agencies to help someone who is underprivileged or has high achievements during their studies. To determine the scholarship recipients, several methods can be used, in this case the author uses the Weight Aggreated Sum Product Assessment (WASPAS) method for scholarship recipients to students. In the WASPAS method, it is considered appropriate for the selection of scholarship recipients because the WASPAS method will carry out a chaining process based on attributes with a weight for each attribute, then a ranking process is carried out which will determine the optimal alternative for the selection of scholarship recipients
Penerapan Algoritma Text Mining Dan TF-IDF Untuk Pengelompokan Topik Skripsi Pada Aplikasi Repository STMIK Budi Darma Sari, Herlina; Ginting, Guidio Leonarde; Zebua, Taronisokhi; Mesran, Mesran
TIN: Terapan Informatika Nusantara Vol 2 No 7 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Thesis is a scientific work that must be written by students as a requirement for the final project of education. For students who want to write a thesis, for example, students on the STMIK Budi Darma campus are required to first find a topic for the title to be submitted. The way to find thesis topic references can be done by accessing the repository application. The title of the thesis has different topics, so it takes a grouping of thesis topics. Classification or grouping of thesis titles in the repository application is very important, because with the grouping of thesis titles it will make it easier to find thesis topic information that can be used as a reference in further research. Therefore, this study aims to create a repository application that is able to group theses. This research uses three methods, namely Text Mining, TF-IDF, and cosine similarity. The thesis abstract data will be processed by Text Mining to produce sentences that represent the thesis, then weighted using TF-IDF and find the level of similarity using cosine similarity. processed. So if the percentage is only 73%.
Analisa Metode MGR Untuk Mendeteksi Keaslian Citra Digital Zay, Rani Aflisa; Mesran, Mesran
TIN: Terapan Informatika Nusantara Vol 2 No 8 (2022): Januari 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v2i8.1029

Abstract

Digital image processing is an important part that underlies various real applications, such as pattern recognition, remote sensing via satellite or aircraft, and machine vision. In pattern recognition, digital image processing plays a role in separating objects from the background automatically. Almost all applications of information technology use cryptography as a tool to ensure the security and confidentiality of data or information. Because of this, cryptography has become a rapidly growing science and in a short time many new algorithms have emerged which are considered superior to their predecessor algorithms. To see the authenticity of digital images we use the MGR algorithm. MGR hash function based on its design security. Protected against multicollision attacks, fixed point attacks, extension attack lengths and herd attacks and provides better efficiency (three times faster) than GOST-R. AES such as block ciphers have been used in compression design. The MGR function due to AES is one of the most efficient and cipher-secure blocks and has been evaluated for more than 12 years
Penerapan Metode MOORA dalam Menentukan Juara pada Festival Seni Nasyid Fira Aulia Nadia; Mesran Mesran
TIN: Terapan Informatika Nusantara Vol 3 No 7 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i7.4123

Abstract

Nasyid Art Festival is an opportunity for young people, especially Muslim youth who are interested in the field of Islamic music. Usually, in this nasyid art, we often encounter an Islamic organization or every mosque or musholla administrator, there must be an organization called Youth Mosque or BKM (Mosque Management Agency) which will certainly facilitate the development of this cultural art so that it does not become extinct. However, we often find that in a Nasyid Art Festival fraud and KKN (Corruption, Collusion, and Nepotism) often occur in the selection of champions at this nasyid art festival. Therefore the researcher is interested in implementing the MOORA method in solving a problem, after applying the MOORA method in determining the winner in the nasyid festival competition, the final results show that the best alternative with the highest Yi value is the A3 group Salahuddin alternative with a Yi value of 0.4765. The second position is occupied by alternative A2 group Rabbani with a Yi value of 0.4473, while the third position is occupied by alternative A4 group Qhairun with a Yi value of 0.4472
Penerapan Metode WASPAS Dalam Pemilihan Handphone Gaming Terbaik Bahagia Elfrando Nababan; Theresya Yohana Jesica Nainggolan; Mesran Mesran
TIN: Terapan Informatika Nusantara Vol 3 No 7 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i7.4125

Abstract

Nowadays people cannot be separated from cellphones. Mobile phones are a communication and technology tool that is commonly used to make it easier for users to communicate and do various things, such as playing games. To be able to play games, you need very good cellphone specifications, for example battery life, high RAM, high screen resolution, and a good cellphone processor. So, a decision support system is needed in choosing the best cellphone for playing games so that it can help cellphone users in determining the best gaming cellphone. Therefore, in needing to choose the best gaming cellphone, we can use the WASPAS (Weighted Aggregated Sum Product Assessment) method to get a ranking of the best gaming cellphones.
Sistem Pendukung Keputusan Dalam Perangkingan Bedak Terbaik Menerapkan Metode MOORA Friska Irma Yanti; Rani Patricia Manalu; Mesran Mesran
TIN: Terapan Informatika Nusantara Vol 3 No 8 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i8.4126

Abstract

Powder is a makeup product that is owned by every woman who wants to look beautiful. This powder is easy to find in the market and the price varies, from cheap to expensive. Powder has a very important function, which is to make facial skin look healthier, prettier, fresher, even to hide imperfections such as acne scars or black spots which often reduce the perfection of the face. In choosing powder, consumers are often confused about choosing and determining which powder is good and suitable for use. Because of these problems, it is necessary to design a decision support system that can help make a decision in obtaining information in recommending powder. There are several methods provided by SPK including MOORA, WASPAS, MOOSRA, SAW, TOPSIS, WP, SMART, OCRA, ROC, AHP, PSI and others. The method used in this study is the MOORA method. The selection of the best powder is based on the use of criteria which will become predetermined rules for evaluating powder which will be used as an alternative research. Based on the calculation of the MOORA method for 6 alternatives, A2 was obtained as the first rank, followed by A3 and A4
Best E-Wallet Selection Decision Support System using MOORA Method and ROC Weighting Mesran, Mesran; Ramli, M Saidina; Bintang, Muhammad Rizki Olihta; Rohayani, Hetty; Sallaby, Achmad Fikri
TIN: Terapan Informatika Nusantara Vol 5 No 12 (2025): May 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i12.6602

Abstract

E-wallet is an electronic payment service that is widely used by Indonesian people. Currently, there are many e-wallets on the market, making people confused about choosing an e-wallet that suits their needs. This research implements this system in a simulation environment to test and validate the effectiveness of the approach in selecting the best E-Wallet. Experimental results show that the proposed approach can provide more accurate and relevant recommendations for users in choosing an E-Wallet that suits their preferences. This research aims to build a decision support system for selecting the best e-wallet using the Multi-Objective Optimization by Ratio Analysis method (MOORA) and ROC weighting. MOORA is a multi-objective system that optimizes two or more conflicting properties simultaneously. This method is used to perform complex mathematical calculations. Decision support systems can help in the above problems. The aim of this research is to apply the MOORA algorithm to help users choose the best e-wallet that suits their needs. For the process of inputting alternative criteria weight values, the results of the system and manual process are the same, according to the results of the validity of the MOORA calculation. Where the application of the MOORA method is carried out by calculating alternative values from the algorithm and weighting, then calculations are carried out to determine the best option. The four e-wallets that are alternatives in this research are GoPay, OVO, ShopeePay, and DANA. Where the application of the Moora method is carried out by calculating alternative values from the algorithm and weighting then, calculations are carried out to determine the best option. The final results of this research showed that Alternative 1 (DANA) was chosen as the best alternative in the Best E-Wallet Selection with a preference value of 0.507.
Integrative Systematic Review on the Impact of AI-Based Training Programs on Motivation and Performance of Non-Academic Educational Staff Mubarrak, Husni; Sari, Vina Winda; Nurhayati, Nurhayati; Wardayani, Wardayani; Suginam, Suginam; Mesran, Mesran
TIN: Terapan Informatika Nusantara Vol 6 No 2 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i2.8071

Abstract

This study aims to systematically review how artificial intelligence (AI)-based training affects the motivation and performance of non-academic educational staff in educational institutions. The review employed a Systematic Literature Review (SLR) approach, analyzing 20 selected articles from SCOPUS, Web of Science, and SINTA databases. Findings reveal that AI-based training contributes to improved work efficiency, employee engagement, and adaptive skills. However, its impact on work motivation is highly dependent on digital literacy, training design, and managerial support. The study also highlights a lack of integrative models that link AI training, motivation, and performance in a cohesive framework. The findings offer theoretical contributions to the development of digital HRM in education and practical insights for designing inclusive and adaptive AI-based training. This study’s limitations include the scarcity of longitudinal data, dominance of research from developed countries, and limited contextual insights from Southeast Asia. Future research is encouraged to apply empirical and longitudinal approaches to strengthen causal understanding and contextual applicability
Co-Authors A M Hatuaon Sihite A.A. Ketut Agung Cahyawan W Abdi Harfani Abdul Halim Abdul Halim 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 Agustina Sidabutar Agustina Sidabutar Ahlan Ismono Ahmad Yanda Ahmadfauzy Akbar Iskandar Al-Hafiz, Nofri Wandi Aldisa, Rima Tamara Alexius Ulan Bani Ali, Bobby Sultan Alwin Fau Amanudin Harahap Andini, Nadira Andreas Gerhard Simorangkir Andreas Gerhard Simorangkir Andsyah Putera Utama Siahaan Andysah Putera Utama Siahaan Anisa Anisa Aniyanti Tafonao Annisa Fadillah Siregar Annisa Siregar Arahman Harahap Arahman Harahap Ardinsah Ardinsah Arif Setiawan Arifin, Soeb Arifin, Soeb Arina Mana Sikana Ariska, Melinda Arjun Nainggolan Armanila Armanila Armanila armanila, Armanila Arshad, Muhammad Waqas Asep Toyib Hidayat Asia Arinanda Singarimbun Asruddin Asyahri Hadi Nasyuha Azhar, Pitria Azhima, Idzni Bahagia Elfrando Nababan Bangun, Budianto Barkat Harefa Bintang, Muhammad Rizki Olihta Bister Purba Boangmanalu, Mei Mariana Butarbutar, Lambok Harry OA Chandra Frenki Sianturi Cici Alfiani Pradika Dita Cut Rafyqa Fadhilah Dahanum, Ismay Dahrul, Dahrul Darma Setiawan Putra Darma Setiawan Putra Darmawan Napitupulu Daulay, Nelly Khairani Debi Guzmaliza Deby Monalisa Simanjuntak Dede Winta Sipahutar Delvi Syahfitri Dendy Frans Gunawan Hutagalung Desyanti Desyanti - Desyanti Desyanti Desyanti Devi Purnama Sari Devi, Wanda Tofani Dian Yunita Sihombing Dikki Handoko Dimas Hadityo Ramadan Dinda Saputri Gea Dirja Hasibuan Dirja Hasibuan Dodi Siregar Dodi Siregar Dodi Siregar Dormian Sihombing Dwi Satria, M. Najib Dwika Assrani Dwika Assrani Dwina Pri Indini Dwina Pri Indini Ebenezer Maston Sinaga Efendi, Syahril Efori Buulolo Eka Murlisah Eka Pratiwi Sumantri Eko Maruli Tua Situmorang Elisabet Simbolon Emmy Syafitri Erlin Windia Ambarsari Ermis Claudia Malau, Risa Fadillah, Riszki Fadillah, Rizkah Fadlina Fadlina, F Fahrul Mahdi Faisal Fajar Syahputra Fatimah Fatimah Nadratul Hakim Fatiyah Saidah Fatiyah Saidah Fazlur Rahman Febrianus Gea 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 Guidio Leonarde Ginting Hadar Putra Daulay Hafizhoh, Syariah Halomoan Hasibuan, Haposan Hany Maria Valentine Harahap, Andi Syahputra Harahap, Arahman Harahap, Nikmah Royani Hari Utari, Hari Harmayani Hasnah Siahaan Hasnah Siahaan Hasnil Aida Henry K Siburian Hetty Rohayani Hikma Widayu Hotmoko Tumanggor Hotni Sari Harahap Husni Mubarrak Hutabarat, Sumiaty Adelina Hutagalung, Siti Nurhabibah Hutapea, Betrik J Hutapea, Betrik J Hutapea, Novita Sari 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 Indini, Dwina Pri Irma Irma Irvan Siahaan Irwan Irwan Irwansyah Irwansyah Ismay Dahanum Isnain, Auliya Rahman Iwan Purnama Jeremiati Sitorus Jeremiati Sitorus Joko Saputro Joli Afriany Juanda Hakim Lubis Juanda Hakim Lubis Juanda Hakim Lubis Juanda Hakim Lubis Jufriadif Na`am, Jufriadif Julaysa, Julaysa Jumpa Dorisman Rajagukguk Junus Dohar Manik Kamalia Safitri, Kamalia Kasta Yudha Siahaan Kasta Yudha Siahaan Kelik Sussolaikah Kelik Sussolaikah Kennedi Tampubolon Kermanosiavic Noverdianto Siahaan Khaerany Nisfiary, Reny Khairani, Reni Khairul Adha, Khairul Khairul Imtihan Khairunnisa Khairunnisa Khasanah Khasanah Kiki Andika Kristian Siregar Kurnia Ulfa Kurnia Ulfa Kusmanto Kusuma, Ade Ayunda Laia, Sarpita Lathifa, Lathifa Lidia K Simanjuntak Lidia Kristiani Simanjuntak Lidya Puspita Dewi Lince Tomoria Sianturi Lubis, Akhyar Lubis, Ikhwan Lubis, M.Syukri Azwar Lubis, Ridha Maya Faza Lubis, Utami Rahma Sari Lubis, Utami Rahma Sari Lumban Batu, Wahyu Harry Bai Maharani Maharani, Maharani Mahardika, Wiyuda Pratama Mahesa Raihan Rifqi Marbun, Desika Maret Sitanggang Maringan Sianturi Marlya Fatira AK Martua Raja Siregar Matondang, Hasiholan Mawan Br Hutahaean Mega Oktaviani Pohan Mei Mariana Boangmanalu Melda Panjaitan Melinda Ariska Mentari Ananda Hasmi Meryance V Siagian Meryance V Siagian Mesran, Rian Syahputra Miranda, Rina Mizwar, Tedi Mohammad Taufan Asri Zaen Muhammad Irfan Muhammad Luthfi Akbar Muhammad Luthfi Akbar Muhammad Rizky Ramadhan Muhammad Syahril Muhammad Syahrizal Muhammad Tri Vaneza Muhammad Yusuf Batubara Muhammad Zarlis, Muhammad Murdani Murdani Murdani, Murdani Naibaho, Dahner Junedi Nanda Sopianto Nasrul Hidayat Harahap Nastiti, Sindy Nasution, Aisah Amini Nasution, Annio Indah Lestari Nasution, Hasnil Aida Natalia Silalahi Natalia Silalahi Natalia Silalahi Natalia Silalahi, Natalia Nelly Astuti Hasibuan Nelly Khairani Daulay Nelly Khairani Daulay Nelly Khairani Daulay Niken Aprilia Nila, Armanila Nirmalasari, Susanti Nizam, Muhammad Khairul Noferianto Sitompul Nofrisa, Dini Nola Dita Puspa Nola Dita Puspa Nona Oktari Noveriang Ndruru NS, Eka Widya Nuari, Reflan Nuning Kurniasih NUR ARIF, MUHAMMAD Nur Sakinah Tanjung Nur Wulandari Nurdiyanto, Heri Nurhabibah, Siti Nurhabibah, Siti Nurhayati Nurhayati Nurmayana Sari Nursaka Putra Nurul Aini Nurul Ajimah Ritonga, Merdayana, Sakdan Azwan Nurul Huda Nurul Izzah Hadiana Nurwahid, Fahri Pakpahan, Elsi Yulianti Pandiangan, Ida Mayanju Panjaitan, Fricia Oktaviani Panjaitan, Melda Panjaitan, Melda Partogi Simanjuntak Paska Miranda Sitanggang Perani Rosyani Permanan Ginting Permanan Ginting Pohan, Nurhikmah Poltak Sihombing Prabowo, Widodo Arif Pratidina, Ageng Puspita Pratiwi, Elsa Pristiwanto Pristiwanto Pristiwanto Pristiwanto, Pristiwanto Puji Sari Ramadhan Purba, Bister Purba, Rohan Kristini Purnama, Ade Novian Putra Heri Putri Chairunisyah Putri Ramadhani Putri Ramadhani, Putri Putri Sianturi Qomaini, Ahmad Rabli Hari Mulia Rahma Yuni Simanullang Rahmi Ramadhani Raja Yusuf Rajagukguk, Jumpa Dorisman Rakhmi Khalida Ramadhan, Puji S Ramadhan, Puji S Ramadhan, Saidi Ramli, M Saidina Rangkuti, Wanda Tofani Devi Rani Patricia Manalu Rasli, Roznim Mohamad Reflan Revife Purba renaldi, reno Restu Riadi Ria Ramadhani Syahputri Rian Syahputra Ricard Ricardo Rima Tamara Aldisa Rio Irwansyah Riska Aryanti Riski Ferita Wahyu Rita Megawati Siburian Ritonga, Muhammad Tohir Ritonga, Rani Syahfitri Ritonga, Uba Rizka Pratiwi Rizkina, Seila Rohan Kristini Purba Rohmat Indra Borman Rohminatin, Rohminatin Ronal Watrianthos Ronda Deli Sianturi Rosaima Situmorang Rosanti, Yerika Puspa Rosnizam, Rosnizam Royanti Manurung Rudha Raihan Rudi Sidabutar Rusiana Rusiana Ruziana binti Mohamad Rasli Ryan Randy Suryono S Sunaryo Safrizal Barus Sagala, Gamrina Saidah Rizki Tanjung Saidah, Fatiyah Saidi Ramadhan Saiful Akhyar Lubis Saiful Nur Arif Sallaby, Achmad Fikri Salsabila Edrin Samuel Ramos Sanriomi Sintaro Santri W Pasaribu Sanwani Sanwani SANWANI SANWANI, SANWANI Saragih, Nova Saragih, Rico Albert Sardima Siregar Sari Hafizoh Sari, Cindy Nanda Sari, Herlina Sari, Sri Indah Sarpita Laia Sarumaha, Farel Notafelling Sarwandi Wandi Sarwandi, Sarwandi Sekar Ayu Lestari Selpi Anita Setiawansyah Setiawansyah Shinta Esabella Siagian, Meryance V Siahaan, Hasnah Siahaan, Martina Klarasia Sianturi, Putri Siburian, Henry Kristian Sihombing, Johannes Syahputra Silalahi, Yohanna Silalahi, Yohanna Simamora, Lita Martauli Simanjuntak, Deby Monalisa Simanjuntak, Handayani Simanjuntak, Lidia Kristiani Simanjuntak, Paulus Simanullang, Rahma Yuni Sinaga, Putra Sejati Sirait, Ika Paulina Siregar, Agnes Siregar, Agnes Siregar, Cindy Astika Siregar, Tesa Aurelia Siti Hummairoh Siti Khairunnisa Siti Muntari Siti Nurhabibah Hutagalung Siti Nurhabibah Hutagalung Siti Nurhalizah Situmorang, Dharma Bakti Situmorang, Pandia Gunawan Situmorang, Pandia Gunawan Soeb Aripin Solihin, Imam Solly Aryza Sonya Malinda Harahap Soraya Rahma Hayati Sri Wulan, Sri Sriwahyuni Hutagalung Subagio, Relo Suci Hildayani Suginam Suginam Suha Alvita Sunaryo, S Supiyandi Supiyandi Supriyanto Surya Darma Nasution Susi Agustini Sinaga Sussolaikah, Kelik Sutiksno, Dian Utami Swandi Dedi Arnold Pardede Syafrida Hafni Sahir Syahputra, Fajar Syariah Hafidzhoh Syariah Hafizhoh Tambusai, Robbi Tanjung, Rizki Yanur Taronisokhi Zebua Teddy Erlambang Teddy Erlambang Teddy Teddy, Teddy Erlambang Tedi Mizwar Tesa Aurelia Siregar Tessa Y M Sihite Theresya Yohana Jesica Nainggolan Tiurima Tampubolon Tongam Panggabean Trans Ningsih Trans Ningsih Trisman Andika Hulu Try Wahyudi, Try USWATUN HASANAH Uswatun Hasanah Vera Meikana Sitorus Vina Winda Sari Vriska Amanda Wahyu Harry Bai Lumbanbatu Wahyu, Riski Ferita Wang, Junhai Wanto, Anjar Waqas Arshad, Muhammad Wardayani Wardayani, Wardayani Welly Desriyati Widodo Arif Prabowo Widya Indah Safitri William Ramdhan Wily Julitawaty Windiyani Barus Wiwien Ngesti Hia Wulan Kartika Murti Wulandari, Faras Tira Yanto Murnihati Waruwu Yarimani Laia Yasir Hasan Yeni Setiani Yessika Floriana Manalu Yosa`aro Zai Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Yuliani, Ega Yuri Rahmanto Yurmaini Yurmaini, Yurmaini Yustinus Zai Zahri Hubby Ramadhani Zai, Iwanman Zay, Rani Aflisa Zaza Mutiara Arini Zulkifli Zulkifli Zuriatul Husna