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Decision Support System for WP and MOORA Methods in Determining Performance Assessment of Outstanding Education Personnel Mesran, Mesran; Jaafar, Mime Azrina; Rosnizam, Rosnizam
Explorer Vol 6 No 1 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v6i1.2587

Abstract

Employee work performance on this date the education staff (Tendik) as a determinant of the success of the performance of the Public Service Agency (BLU). Students who have a good leadership spirit, which are listed as outstanding and superior tendik competencies, are expected to be able to spur other students to achieve as well. The assessment of the achievers is based on the provisions of Permendikbud No. 30 of 2018. Form F5 in the attachment of the Minister of Education and Culture Number. 30 of 2018 becomes an assessment variable in the educational activity support system. Work Achievement of Education Personnel is a major factor in the success of higher education performance. Good work results will have a good impact on universities. Educational staff who excel are also competent in higher education also support both the education staff and universities. Rewards or awards given to Education Personnel can be done by assessing the performance results of each Education Personnel. Rewards are given to Education Personnel as a form of appreciation for the performance carried out at universities. rewards to Education Personnel must be based on appropriate and accurate assessments. The problems found do not have to be used to evaluate the Education Personnel in presenting prizes. The performance assessment carried out must be objective, of course, with an objective assessment the results obtained on the educational performance assessment are not a problem for the education staff. Decision Support System is a computer-based information system that is used to assist in decision making by utilizing certain data and models to support a solution in solving a semi-structured and non-structured problem. The MOORA (Multi Objective Optimization On The Basis Of Ratio Analysis) and WP (Weighted Product) methods are methods in the Decision Support System that provide relatively precise results to the determined assessment. Research with the MOORA and WP procedures used produces and provides an assessment so that it can provide decision support to award outstanding Education Personnel
Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi Menggunakan Metode TOPSIS Hutagalung, Dendy Frans Gunawan; Mesran, Mesran
Bulletin of Artificial Intelligence Vol 3 No 2 (2024): October 2024
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/buai.v3i2.215

Abstract

Public and private universities are institutions where students acquire knowledge according to their interests and talents. To improve student quality, universities implement programs for selecting outstanding students. However, in many public and private universities, the selection of outstanding students is often based solely on the Grade Point Average (GPA). In fact, several other assessment criteria should also be considered, such as the number of scientific papers, TOEFL score, GPA, ethics, and parents’ monthly income. Therefore, a decision support system is required to assist in the selection process of outstanding students. The method applied in this study is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This method is chosen because it can effectively solve decision-making problems by using priority values or weights assigned to each criterion. The results of this study indicate that Alternative A3, namely “Frans,” is the best alternative with a preference value (Vi) of 1
Sistem Pendukung Keputusan Pemilihan Hotel Terbaik dengan Menggunakan Metode Simple Additive Weighting (SAW) Manalu, Hardi Giat Sofian; Tarigan, Safrin Zulkarnain; Batubara, Gunawan; Mesran, Mesran; Lubis, Ridha Maya Faza
Bulletin of Artificial Intelligence Vol 4 No 1 (2025): April 2025
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/buai.v4i1.228

Abstract

The booming tourism sector offers travellers many accommodation options. However, this diversity can make it difficult to find the right hotel. Therefore, to assist travellers in this difficult decision-making process, a Decision Support System (DSS) for Best Hotel Selection was created. This SPK uses a sophisticated algorithm called ‘method in use’, which can analyse hotel data in multiple dimensions. To make the best hotel recommendation, various factors are considered, including price, location, facilities, guest reviews, and travellers' personal preferences. Travellers get many great benefits from the application of this SPK, including, Time efficiency, Right decision and Better experience. This research uses the SAW method in making a decision in determining the best hotel. Based on the results of research using the SAW method, it can be concluded that this method is very helpful in the process of making hotel selection decisions in Dumai. By giving weight to each criterion that is considered important by users, such as price, location, and facilities, SAW produces a final value for each hotel alternative. Through this calculation, users can easily compare and choose the hotel that best suits their needs. In this study, Hotel C obtained the highest score of 0.850, followed by Hotel B and Hotel G with final results of 0.820 and 0.810 respectively
Penerapan Metode Simple Additive Weighting dalam Penerimaan Siswa Magang Pada Universitas Budi Darma Manik, Junus Dohar; Samosir, Adinda Rezeki; Mesran, Mesran
sudo Jurnal Teknik Informatika Vol. 1 No. 2 (2022): Edisi Juni
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (305.733 KB) | DOI: 10.56211/sudo.v1i2.14

Abstract

Seorang pelajar ataupun mahasiswa biasanya kurang pengetahuan dalam dunia kerja. oleh Karena itu dibuatlah suatu program yang disebut magang. Program magang dapat diartikan sebagai gerbang awal menuju dunia kerja. Magang merupakan tahapan yang dilalui oleh para pelajar dalam mengasah dan mengembangkan kemampuannya dalam dunia kerja. Program magang merupakan program dimana sekolah mengirim siswa ketempat-tempat tertentu yang menerima siswa magang. Program magang merupakan salah satu program yang wajib dilakukan oleh Sekolah Menengah Kejuruan (SMK). Salah satu tempat yang menerima siswa magang di sumatera utara adalah Universitas Budi Darma. Namun meningkatnya jumlah siswa magang yang medaftar justru menjadi permasalahan yang dialami kampus tersebut. Untuk menyelesaikan permasalahan tersebut dibutuhkanlah suatu system yang disebut Sistem Pendukung Keputusan (SPK). Ada beberapa metode yang dapat dipakai pada Sistem Pendukung Keputusan (SPK) ini. Salah satunya adalah metode Simple Addictive Weighting (SAW), metode Simple Addictive Weighting (SAW) dikenal dengan istilah metode penjumlahan terbobot karena melakukan penjumlahan terbobot untuk semua atribut pada setiap alternatif. hasil dari penelitian ini sebesar 0,9760 diperoleh oleh alternative A1 atas nama Romando Saragih sebagai peringkat pertama
Penerapan Algoritma Venigmare Cipher dan Vernam Cipher Dalam Pengamanan Data Teks Kermanosiavic Noverdianto Siahaan; Mesran Mesran
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 1 (2020): September 2020
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i1.2457

Abstract

Data security and confidentiality is one very important aspect in today's information system. The emergence of internet and multimedia technology has prompted various efforts to protect, secure, and hide data on digital files from unauthorized parties to access these files. One of the efforts to secure data and information includes using the Venigmare Cihper and the Vernam Cihper. Venigmare is an encryption that can reduce the correlation between the frequency of letters in plaintext and Ciphertext. But unfortunately this method still leaves a repeating pattern, especially if the encrypted plaintext is long enough. In this case, the role of the data encryption technique known as cryptography is very important. Cryptography is a technique for encoding data through a process of encryption and decryption with a specific key to produce encrypted data that is unknown to others. This paper will use the Vernam Cipher algorithm.
Analisa Penerapan Metode Multi Attribute Utility Theory (MAUT) dengan Pembobotan Rank Order Centroid (ROC) Dalam Pemilihan Lokasi Strategis Coffeshop Milenial di Era New Normal Ade Ayunda Kusuma; Zaza Mutiara Arini; Uswatun Hasanah; Mesran Mesran, M.Kom
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3575

Abstract

Covid-19 is a type of Coronavirus that attacks and infects the human respiratory system. The Covid-19 pandemic has also hit Southeast Asia, including Indonesia. The impact of the pandemic has been felt by the Indonesian people, such as the weakening of the cultural, educational and economic sectors. Especially in the economic sector, Millennial Coffeshop owners are trying to get up in this New Normal era. However, the difficulty of choosing the right and strategic business location poses a serious problem for business owners. Therefore, a solution is needed in the form of an SPK that applies the MAUT method along with the use of ROC to generate weight values. The calculation of several data samples produces the best final utility value in determining the strategic location of the Millennial Coffeeshop, which is located in alternative A1 with the best final utility value of 0.8054.
Penerapan Metode OCRA dalam Menentukan Media Pembelajaran Online Terbaik di Masa Pandemi Covid-19 dengan Pembobotan ROC Dwina Pri Indini; Khairunnisa Khairunnisa; Nola Dita Puspa; Tesa Aurelia Siregar; Mesran Mesran, M.Kom
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3576

Abstract

Right now the Covid-19 pandemic is very troubling where people must comply with regulations that have been made by the government, namely reducing non-essential activities outside the home so that there are no crowds, at this time many educational institutions are closed for face-to-face learning activities and then online or online learning is applied. online. In this online learning there are many media that can be used so that it makes teachers and students confused to determine which media is the most appropriate to use. This study uses a Decision Support System as a system in selecting which online learning media is the best. In determining the best online learning media, it must meet criteria such as User Capacity, Visual Interaction, Friendly Features, Application Features and Internet Data Usage. Therefore, a Decision Support System (DSS) is needed in solving existing problems by applying the ROC (Rank Order Centroid) and OCRA (Operational Competitiveness Rating Analysis) methods that can generate weight values and preference values from the first ranked alternative. So that the best online learning media during the Covid-19 pandemic lies in the A3 alternative, namely Moodle with a value of 2,296.
Perancangan Aplikasi Game Maze Escape Dengan Menerapkan Algoritma Greedy Untuk Pencarian Jalur Terpendek Nanda Sopianto; Mesran Mesran
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3585

Abstract

In modern times games that require extensive space and spend a lot of resources such as the maze game are starting to disappear. But the development of technology made games such as maze escape develop in the form of computer simulations. The purpose of this study is to design a game that can be played to fill free time and eliminate boredom and simultaneously train the player's brain. To determine the most optimal route, the route that has the shortest distance is using the Greedy algorithm approach. The Greedy algorithm is an algorithm that solves problems step by step and is one method in optimization problems. The approach used in the Greedy algorithm is to make a choice that looks to provide the best gain, namely by making a choice of local optimum at each step and is expected to get a global optimum solution.
Penerapan Algoritma Simplified Memory Bounded A* Pada Permainan Hangman Indonesia Muhammad Yusuf Batubara; Mesran Mesran; Yasir Hasan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3586

Abstract

Learning Games are additional tools or facilities used to entertain and add insight to users. The use of learning games or education games is very suitable for children, teenagers and parents even at all ages. This educational game is very easy to reach and use because it is already in everyone's grasp, Hangman Game Mobile is a word game that aims to guess what the questioners mean by guessing the letters one by one so that they are arranged into a word. The Hangman game used to be only made from a piece of paper or on the blackboard in front of the students and asked the answer one by one to the students (students) so that with this activity there was a hangman game. Hangman game based on Android smartphone from several components that can be run inside the application such as letters, actors, hanging poles, ropes, answer columns. This research resulted in a Hangman game application aimed at Learning which was applied on an Android samartpone device and to be developed at a later date.
Analisis Perbandingan Penerapan Metode MOORA dan SAW dalam Kelayakan Pemberian Bantuan Uang Kuliah Tunggal Rima Tamara Aldisa; Ade Priyatna; Fatiyah Saidah; Kasta Yudha Siahaan; Mesran Mesran
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4281

Abstract

Single Tuition Fee (UKT) is a tuition payment rule that funds each student according to his economy, especially at PTN whose tuition fees are also determined from the student's economy. Students pay for the semester which is decided according to the single tuition fee minus the costs borne by the government, in other words each student only pays one component. At Budi Darma University, the payment of the Single Tuition Fee (UKT) has been determined by the campus by being able to pay in 6 installments per year in order to ease the payment of tuition fees to students. However, the number of students who meet the requirements in applying for UKT assistance makes it difficult for the campus in the selection process. Therefore, a decision support system is needed to solve a problem by applying the comparison of the Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) and Simple Additive Weighting (SAW) by including weighting with the Rank Order Centroid (ROC) method to get accurate and effective results. From the test results, getting the best alternative that is considered worthy of single tuition assistance is in the same alternative, namely A7 on behalf of Zaza Mutiara Arini. Calculations using the MOORA method get the best preference value of 0.7391 while calculations using the SAW method get the best preference value of 0.8976.
Co-Authors A M Hatuaon Sihite A.A. Ketut Agung Cahyawan W Abdi Harfani Abdul Halim Abdul Karim Ade Ayunda Kusuma Ade Priyatna Ade Tursina Adinda Rahmadhani 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 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 Arshad, Muhammad Waqas Asep Toyib Hidayat Asia Arinanda Singarimbun Asruddin Asyahri Hadi Nasyuha Azhar, Pitria Azhima, Idzni Azni, Ayu Iryanti Bahagia Elfrando Nababan Bangun, Budianto Bangun, Teguh Pratama Barkat Harefa Batubara, Gunawan Besus Maula Sulthon Bintang, Muhammad Rizki Olihta Bister Purba Boangmanalu, Mei Mariana Butarbutar, Lambok Harry OA Chandra Frenki Sianturi Cici Alfiani Pradika Dita Cindy Nanda Sari 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 Dini Nofrisa Dirja Hasibuan Dito Putro Utomo 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, Rizkah Fadlina Fadlina, F Fahrul Mahdi Faisal Fajar Syahputra 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 Hasnil Aida Henry K Siburian Hetty Rohayani Hikma Widayu Hotmoko Tumanggor Hotni Sari Harahap Hower Gultom, Eisen Husni Mubarrak Hutabarat, Pahotton Hutabarat, Sumiaty Adelina Hutagalung, Dendy Frans Gunawan 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 Jaafar, Mime Azrina Jahraini, Ratu Adnin 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 Kamalia Safitri, Kamalia Kasta Yudha Siahaan Kasta Yudha Siahaan Kelik Sussolaikah Kelik Sussolaikah Kennedi Tampubolon Kermanosiavic Noverdianto Siahaan 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 Manalu, Hardi Giat Sofian Manik, Junus Dohar 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 Muntari, Siti Murdani Murdani Murdani, Murdani Naibaho, Dahner Junedi Nanda Sopianto Nasrul Hidayat Harahap Nastiti, Sindy Nasution, Aisah Amini Nasution, Annio Indah Lestari Natalia Silalahi Natalia Silalahi Natalia Silalahi Natalia Silalahi, Natalia Nelly Astuti Hasibuan Nelly Khairani Daulay Nelly Khairani Daulay Nelly Khairani Daulay Niken Aprilia Ningsih, Trans Nirmalasari, Suasanti Nirmalasari, Susanti Nisfiary, Reny Khaerany Nizam, Muhammad Khairul Noferianto Sitompul Nola Dita Puspa Nola Dita Puspa Nona Oktari Nova Saragih Noveriang Ndruru NS, Eka Widya Nuari, Reflan Nuning Kurniasih NUR ARIF, MUHAMMAD Nur Sakinah Tanjung Nur Wulandari Nurdiyanto, Heri Nurhabibah, Siti Nurhabibah, Siti Nurhayati Harahap 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 Pardamean Pasaribu, Burju 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 Ramadan, Bagus Satrio Ramadhan, Puji S Ramadhan, Puji S Ramadhan, Saidi Ramli, M Saidina 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 Riszki Fadillah Rita Megawati Siburian Ritonga, Muhammad Tohir Ritonga, Uba Rizka Pratiwi Rizkah Fadillah Rizkina, Seila Rohan Kristini Purba Rohmat Indra Borman Rohminatin, Rohminatin Ronal Watrianthos Ronda Deli Sianturi Rosaima Situmorang Rosanti, Yerika Puspa Rosnizam, Rosnizam Royanti Manurung Roznim, Roznim 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 Samosir, Adinda Rezeki Samuel Ramos Sanriomi Sintaro Santri W Pasaribu Sanwani Sanwani SANWANI SANWANI, SANWANI 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, Syamsimahara Siregar, Tesa Aurelia Siti Hummairoh Siti Khairunnisa 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 Hafizhoh Tambusai, Robbi Tanjung, Rizki Yanur Tarigan, Safrin Zulkarnain 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 E 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 Wanda Tofani Devi Rangkuti 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