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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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Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

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Bagian 2: Model Arsitektur Neural Network Dengan Kombinasi K-Medoids dan Backpropagation pada kasus Pandemi Covid-19 di Indonesia Windarto, Agus Perdana; Na`am, Jufriadif; Yuhandri, Yuhandri; Wanto, Anjar; Mesran, Mesran
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2505

Abstract

The aim of the research is to create a prediction model on the best neural network architecture by combining the k-medoids and backpropagation methods in the case of the COVID-19 pandemic in Indonesia. Data obtained from the Ministry of Health is sampled and processed from covid19.go.id and bnpb.go.id. The case raised was the number of the spread of the COVID-19 pandemic in Indonesia as of July 7, 2020, with 34 records. The variables used in this study are the number of positive cases (x1), the number of cases cured (x2), and the number of deaths (x3) by province. The process of data analysis uses the help of RapidMiner software. The solution provided is to combine the k-medoids and backpropagation methods. Where the k-medoids method is mapping the specified cluster. The cluster labels used are high cluster (C1 = red zone), alert cluster (C2 = yellow zone), low cluster (C3 = green zone). The results of cluster mapping are continued to the backpropagation method to predict the accuracy of the existing cluster results. By using the best architectural model 3-2-1, the accuracy value is 94.17% with learning_rate = 0.696. Cluster mapping results obtained nine provinces are in the high cluster (C1 = red zone), three provinces are in the alert cluster (C2 = yellow zone), and 22 provinces are in the low cluster (C3 = green zone). It is expected that the results of the research can provide information to the government in the form of cluster mapping of regions in Indonesia.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN BERPRESTASI DENGAN MENGGUNAKAN METODE ANALYTICAL HIEARARCHY PROCESS (Studi Kasus : PT.Capella Dinamik Nusantara Takengon) Safitri, Kamalia; Waruwu, Fince Tinus; Mesran, Mesran
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v1i1.317

Abstract

Employee is a supporting factor in a company, because with the existence of employees who have company qualification standards then the productivity of the company must be maintained and increasing. To obtain information quickly and accurately the achievement of appropriate employees meet the expected criteria, required a decision support system selection of outstanding employees. To know this, with a multi-criteria decision-making method by solving complex and unstructured situations into sections and arranging them in the hierarchy. By using Analytical Hierarchy Process (AHP) method on Decision Support System, the determination of achievement employees can be calculated based on the calculation of each criterion's weight, so it can select the employee achievement in the company quickly.
Analisis Komparasi Metode Klasifikasi Data Mining dan Reduksi Atribut Pada Data Set Penyakit Jantung Utomo, Dito Putro; Mesran, Mesran
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.2080

Abstract

Heart disease is a disease with a high mortality rate, there are 12 million deaths each year worldwide. This is what causes the need for early diagnosis to find out the heart disease. But the process of diagnosis is quite challenging because of the complex relationship between the attributes of heart disease. So it is important to know the main attributes that are used as a decision making process or the classification process in heart disease. In this study the dataset used has 57 types of attributes in it. So that reduction is needed to shorten the diagnostic process, the reduction process can be carried out using the Principal Component Analysis (PCA) method. The PCA method itself can be combined with data mining calcification techniques to measure the accuracy of the dataset. This study compares the accuracy rate using the C5.0 algorithm and the Naïve Bayes Classifier (NBC) algorithm, the results obtained both after and before the reduction are Naïve Bayes Classifier (NBC) algorithms that have better performance than the C5.0 algorithm
RANCANGAN PENDUKUNG KEPUTUSAN PEMILIHAN TELEVISI BERLANGGANAN MENERAPKAN METODE ANALYTICAL HIERARCHY PROCESS(AHP) Irfan, Muhammad; Mesran, Mesran; Siregar, Dodi; Suginam, Suginam
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 1, No 2 (2017): Juni 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v1i2.326

Abstract

Television subscription is a product of one of the today's technological developments. Television subscription is a television broadcasting service that is made specifically for viewers who are willing to pay (subscribe) on a regular basis. The number of subscription television products add to the vibrant entertainment business through the glass screen media, before the public only recognize free to air television that can be enjoyed for free. Currently, in some major cities, a number of pay-TV operators compete for customers by offering a variety of exciting television entertainment programs such as news, education, music, movies and so on. This makes it difficult for customers to choose the best television subscription option in providing their services. Implementation of decision support system in the selection of television subscription and using Analytical Hierarchy Process method known as AHP is expected to give the best decision result. Analytical Hierarchy Process is a process of developing a numerical score to streamline alternative decisions based on how each alternative fits the criteria.
Penerapan Metode Simple Additive Weighting (SAW) dalam Pemberian Reward Bagi Pegawai Honorer Menggunakan Pembobotan Rank Order Centroid Tongam Panggabean; Mesran Mesran; Yessika Floriana Manalu
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3146

Abstract

Giving rewards to employees is one way to increase morale and improve performance for employees who excel. At the District Financial and Asset Management Agency. Deli Serdang in selecting the best employees, the workload cannot be used as the only reference for the awarding of these rewards. However, there are several criteria that are also considered in giving rewards. So we need a decision support system to help the selection of the best employees. In this study, the Simple Additive Weighting (SAW) method was chosen which was carried out by giving weighting to each criterion that was assessed per individual employee using the Rank Order Centroid (ROC) method. The criteria that are also assessed in this study are workload, attendance, discipline and work ethic of employees. Later, 3 employees who get the best score will be entitled to a reward.
Penerapan Metode ROC dan Weighted Aggregated Sum Product Assesment (WASPAS) dalam Penerimaan Asisten Perkebunan Rakhmi Khalida; Budianto Bangun; Mesran Mesran; Nona Oktari
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 3 (2021): Juli 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i3.3092

Abstract

A plantation assistant is a person who is responsible for managing a plantation, in the selection of plantation assistants there are still obstacles in the selection, this is because many applicants enter and the assessment is still subjective. To overcome this problem, in this study, the author uses the Weighted Aggregated Sum Product Assessment (WSPAS) method to determine the acceptance of Plantation Assistants. The WASPAS method is considered in accordance with the selection of plantation assistants, because the WASPAS method will perform a ranking process based on attributes with different weights so that the results become more optimal. For maximum results, the author uses weighting by applying the Rank Order Centroid (ROC) method. The results of the study provide recommendations for the 8th alternative which has the highest value with a value of 0.970 to become a Plantation Assistant.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN BUAH RAMBUTAN DENGAN KUALITAS TERBAIK MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) Yosa`aro Zai; Mesran Mesran; Efori Buulolo
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v1i1.315

Abstract

Decision support systems are generally defined as a system capable of producing solutions and problem-solving. Decision support systems are not intended to replace decision-making roles, but to assist and support decision makers. In the role of decision support systems in the overall context of information systems aimed at improving performance through the application of information technology and determine the approach used in the decision-making process, to evaluate the interactive selection. One of the most commonly used methods in decision support systems is the Weighted Product (WP) method.
Sistem Pendukung Keputusan Pemilihan Peserta Jaminan Kesehatan Masyarakat (Jamkesmas) Menerapkan Metode MOORA Mesran Mesran; Swandi Dedi Arnold Pardede; Arahman Harahap; Andysah Putera Utama Siahaan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 2, No 2 (2018): Apriil 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v2i2.595

Abstract

Decision support system as a computer-based system consisting of components, among other components of the language system (language), components of knowledge systems (knowledge) and components of the problem processing system (problem processing) which interact with each other, which helps decision making through the use of data and decision models to solve problems that are semi-structured and unstructured. This study uses the MOORA Method in determining who is entitled to become participants Jamkesmas based on criteria by using a formula that results more accurate and targeted.
PENERAPAN TECHNIQUE FOR ORDERS PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) UNTUK KEPUTUSAN PEMBERIAN KREDIT PADA CALON NASABAH (Studi Kasus : PT. SS Finance) Yustinus Zai; Mesran Mesran; Berto Nadeak; Imam Saputra
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v1i1.314

Abstract

The existence of credit activities in a bank or company, certainly is one of the advantages for the bank or company, including the customer. In crediting the need for an assessment as a consideration for a prospective customer before the bank decides whether to accept or reject the request of a prospective customer. This is done, considering the risk of uncollectible on the customer is quite large. In order to assist in determining whether a person is eligible to receive a loan, a decision support system is required. One method that can be used for decision support systems is to use TOPSIS. In this research will be discussed a case in finding the best prospective customer alternative based on predetermined criteria by using Techniques For Order Preference By Similarity To Ideal Solution (TOPSIS) method to calculate the eligibility of the prospective customer
Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Karyawan yang di Non-Aktifkan di Masa Pandemi Juanda Hakim Lubis; Shinta Esabella; Mesran Mesran; Desyanti Desyanti; Deby Monalisa Simanjuntak
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3909

Abstract

Coronavirus Disease 2019 (Covid-19) was first discovered in China, spread to various countries including Indonesia in March 2020. Until 2021 Covid-19 has not disappeared. This of course has an impact that can harm the country and society. Therefore, the government made a policy of Large-Scale Social Restrictions (PSBB) with the aim of breaking the chain of the spread of Covid-19. One of the impacts felt by the community with its presence is the deactivation of employees carried out by several companies to workers on the grounds that they do not have the money to pay the workers. PT. XYZ has difficulty choosing which employees to deactivate. This research is based on these reasons, so the authors decided to use the Multi Attribute Utility Theory (MAUT) method to help make decisions to choose employees who deserve to be deactivated with job prospects, age, length of work per year, education, dependents with an alternative number of 10 (Ten) ) employees. The use of the MAUT method is expected to determine the criteria for employees who deserve to be deactivated, because the MAUT method will perform a ranking process based on attributes with different weights so that the results are more optimal, then a ranking process will be carried out which will determine the optimal alternative as well. The 5 (five) alternatives that deserve to be deactivated are A2 with a result of 0,9303, A8 with a result of 0,5561, A4 with a result of 0,533, A9 with a result of 0,4978, and A1 with a result of 0,4867 is 5 a viable alternative to deactivate during the pandemic
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 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 Arini, Zaza Mutiara 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 Dewi, Lidya Puspita 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 Edrin, Salsabila 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 Indini, Dwina Pri Irma Irma Irwan Irwan Ismay Dahanum Iwan Purnama Jeremiati Sitorus Jeremiati Sitorus Joko Saputro Juanda Hakim Lubis 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 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 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 Yusuf Batubara Murdani Murdani Murdani Murdani Murdani, Murdani Nanda Sopianto Nasrul Hidayat Harahap Nasution, Afriyani 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 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 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 Samuel Ramos Santri W Pasaribu Sanwani Sanwani SANWANI SANWANI, SANWANI Sardima Siregar Sari Hafizoh Sari, Herlina Sari, Sri Indah Sarpita Laia Sarwandi Wandi Sarwandi, Sarwandi Sekar Ayu Lestari Selpi Anita 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 Syahputri, Ria Ramadhani 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