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Mesran, Mesran
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Journal : Bulletin of Computer Science Research

 1 
Sistem Pendukung Keputusan Pemilihan Aternatif Pengelolaan Limbah kelapa Sawit Pada PT.Austindo Nusantara Jaya Agri Siais Kabupaten Tapanuli Selatan Sumatera Utara Menggunakan Metode Analityc Network Process (ANP) Rizka Pratiwi; Mesran Mesran; Soeb Aripin; Chandra Frenki Sianturi; Lince Tomoria Sianturi
Bulletin of Computer Science Research Vol. 1 No. 2 (2021): April 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Oil palm is the largest commodity in several regions in Indonesia. Especially on the islands of Kalimantan and Sumatra. This requires the construction of a palm oil mill (PKS) to produce waste and a very large volume of solid waste and liquid waste. Several alternative solutions that will be considered to deal with this problem are designing a new location, implementing a new location and repairing / structuring an existing location and treating liquid waste and solid waste into appropriate commodities. In choosing this alternative, many criteria must be considered. Therefore, in the selection of alternative palm oil mill effluent using Analysis Network Process (ANP) in decision making.
Implementasi Metode Apriori Pada Sistem Persediaan Bahan Kimia Di Laboraturium Forensik Medan Niken Aprilia; Mesran; Fince Tinus Waruwu
Bulletin of Computer Science Research Vol. 2 No. 1 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Data mining is a term used to describe the discovery of knowledge in databases. Data mining is a process that uses statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify useful information and related knowledge from large databases. With data mining, a gem in the form of knowledge will be obtained in a large number of data sets. The Apriori (RF) method is a method that can improve accuracy results, because generating child nodes for each node is done randomly. This method is used to build a decision tree consisting of root nodes, internal nodes, and leaf nodes by taking attributes and data randomly according to the applicable provisions. The root node is the node located at the top, or commonly referred to as the root of the decision tree. The solution for determining chemical stock inventories at the Medan Branch Forensic Laboratory, by applying the Apriori method to determine the correlation coefficient level of frequently used products so that more frequently needed products can be provided to avoid chemical vacancies at the Medan Branch Forensic Laboratory
Perancangan Aplikasi Kompresi File Video Menggunakan Algritma SPIHT (Set Partioning In Hirarcical Tress) Rita Megawati Siburian; Mesran; Henry K Siburian
Bulletin of Computer Science Research Vol. 3 No. 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i2.158

Abstract

Video files have a large enough capacity, and to access them takes a long time, so a data compression technique is needed. In this case the video file will be compressed using the SPIHT (Set Partitioning In Hierarchical Trees) algorithm, SPIHT (Set Partitioning In Hierarchical Trees) is a video file compression capable of achieving a high compression ratio. Problems that arise due to the large file size include the wasteful storage media used, as well as more time in terms of data exchange, data transfer over the internet is a big problem in Indonesia because of the very low download and upload speeds. To overcome this problem, data compression techniques are needed. The concept of compression was born as a real solution to problems regarding the space needed to store various digital files, including the MKV (Matroska Video) format video files. The compression technique is a technique that compresses files so that they become smaller in size while maintaining the quality of the representation of the file. Through the compression process of MKV (Matroska video) format video files using the SPIHT (Set Partioning In Hirarcical Tress) algorithm, it is hoped that in the future this compression system will have a major effect on video file storage and can increase storage and it is also hoped that this algorithm can be used for other objects to be compressed.
Penerapan Metode WASPAS dan ROC (Rank Order Centroid) dalam Pengangkatan Karyawan Kontrak Fahrul Mahdi; Faisal; Dwina Pri Indini; Mesran
Bulletin of Computer Science Research Vol. 3 No. 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i2.232

Abstract

The important determinant factor for the success of a service company in achieving its established objectives is its workforce. The selection process for new and contract employees in the company should be objective in order for them to become permanent employees. However, many companies still lack measures to evaluate the level of objectivity in their selection process. In this study, the author observed that sometimes companies experience difficulty in determining which contract employees should be promoted to permanent employees due to the lack of objectivity in the selection process. Therefore, the author used the Simple Additive Weighting (WASPAS and ROC) method to determine the best employees who can be promoted to permanent employees with criteria such as participation, level of education, competency, workplace, knowledge, teamwork, work quality, English language skills, and others. Based on the research results, the ROC and WASPAS methods are very useful in determining the best employee candidates and solving identified problems, as well as providing better and more optimal results in decision-making. In this study, variant A2 with the highest utility value of 0.982 was chosen as the best contract employee to be employed as a permanent employee.
Sistem Pendukung Keputusan Pemilihan Instruktur Komputer Terbaik Menerapkan Metode Profile Matching Nurmayana Sari; Mesran; Fadlina
Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i3.234

Abstract

The development of computer technology is now very rapid and familiar, making us have to learn how to use computers to increase our knowledge and skills so that they can help and facilitate our daily activities. LKP IBAY COMPUTER is a Course and Training Institute especially in the field of computer technology. The learning process is guided by experienced instructors who are also experts in their fields. Decision support systems are systems used in making decisions based on existing criteria. To help and facilitate agencies in choosing the best computer instructor, a decision support system is created that is able to provide alternative solutions. In this study the method used is the Profile Matching method. The calculation process in the Profile Matching method is by defining the minimum value for each assessment variable. The difference between each testing data value to the minimum value of each variable is a gap which is then given a weight, the smaller the resulting gap, the greater the weight of the value, so that there is a greater chance for someone to be selected as the best instructor. The Profile Matching method is used to provide an assessment of the best alternative considerations from the various options available. Processing values ??using the profile matching method will produce rankings.
Penerapan Metode ARAS Dalam Menentukan Kelayakan Penerima Bantuan PKH Kelurahan Sudirejo-I Medan Adinda Rahmadhani; Mesran; Alwin Fau
Bulletin of Computer Science Research Vol. 3 No. 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i3.235

Abstract

Sudirejo-I Village, Medan City within a certain period of time determines the recipients of the Family Hope Program (PKH) assistance to its citizens. Providing cash assistance to the poor who require them to follow the requirements set by the Family Hope Program, namely sending their children to an education, and carrying out regular visits to health facilities for children aged 0 to 6 years, pregnant women and postpartum mothers. However, the provision of PKH social assistance at the Medan City Social Service is still not optimal. Because at the time of selecting the recipients of PKH assistance, there was no supporting system so that at the time of the selection process it was still using estimates and there was no calculation at the time of selecting the recipients of the assistance. So many residents protested because they should be more deserving of PKH assistance. The results of this study aim to create a Decision Support System in the provision of PKH social assistance using the ARAS method, which is one method that supports in helping to determine the eligibility of beneficiaries of the Family Hope Program (PKH), therefore a Decision Support System is needed. With this Decision Support System, it is expected to be able to minimize the occurrence of wrong targets that often arise in the selection process, the results of this study get the highest score obtained by A11 with a total value of 0.8648.
Implementation of Entropy and Additive Ratio Assessment Methods in Determining the Best Warehouse Location Waqas Arshad, Muhammad; Setiawansyah; Mesran
Bulletin of Computer Science Research Vol. 4 No. 4 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i4.360

Abstract

The main problems in determining warehouse location include high operational costs, inadequate accessibility and infrastructure, and strict and complex local regulations. In addition, environmental risks and natural disasters, as well as economic fluctuations and market dynamics also add to the challenge of choosing an optimal location. The purpose of this study is to apply the Entropy and ARAS methods in evaluating the potential of optimal warehouse locations, thereby providing clear and structured guidance for decision-makers in choosing the optimal warehouse location to meet the company's operational and strategic needs. The implementation of the entropy and ARAS methods in determining the best warehouse location involves a systematic approach in evaluating several criteria that are important for optimal decision-making. The Entropy method helps in objectively assessing the importance of each criterion by quantifying the uncertainty or variation present in the data. The ARAS method complements this by allowing comparative analysis of alternative warehouse locations based on their performance against ideal criteria, taking into account both quantitative and qualitative aspects. Thus, both methods provide a solid framework for selecting warehouse locations that not only meet logistics requirements efficiently but are also in line with strategic business objectives, ensuring a well-informed decision-making process in supply chain management and logistics. The results of the ranking of the best warehouse location selection using the entropy and ARAS methods show AB Location as the first rank with a value of 0.9781, DD Location as the second place with a value of 0.8362, and IP Location as the third place with a value of 0.8143.
Sistem Pendukung Keputusan Pemilihan Content Creator TikTok Terbaik Menggunakan Metode Simple Additive Weighting (SAW) dengan Pembobotan Rank Order Centroid (ROC) Jahraini, Ratu Adnin; Sanwani, Sanwani; Sulthon, Besus Maula; Siregar, Syamsimahara; Hutabarat, Pahotton; Mesran, Mesran
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.918

Abstract

In this selection of the best TikTok Content Creator using the Rank Order Centroid (ROC) and Simple Additive Weighting (SAW) methods. ROC and SAW were chosen because they are simple and efficient and can allow proper weighting of criteria and proper ranking. Many factors must be considered in choosing TikTok Content Creators. The selection of the best TikTok content creators is useful for helping audiences assess and select quality content and can add insight and entertainment that is useful for the future. Judging must also be based on predetermined criteria. There are five criteria that are assessed such as creativity, originality, content quality, interaction, ethics. The results of the assessment of each criterion will be normalised and the total weight calculated. The system will sort from the highest value as the first and last rank. With the existence of a decision support system that uses the ROC and SAW methods, it can make it faster and easier to make decisions to choose the best TikTok Content Creator according to predetermined criteria. Ranking results in applying the SAW method shown in table 5 above, the best alternative is the first rank produced, namely A10 with a final acquisition value of 0.956. The second rank is alternative A3 with a final value of 0.935 and the third rank is alternative A1 with a final value of 0.909.
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 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 Azni, Ayu Iryanti Bahagia Elfrando Nababan Bangun, Budianto Bangun, Teguh Pratama Barkat Harefa Besus Maula Sulthon 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 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, 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 Hower Gultom, Eisen Husni Mubarrak Hutabarat, Pahotton 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 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 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 Martono Martono 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 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 Ningsih, Trans Nirmalasari, Suasanti Nirmalasari, Susanti Nisfiary, Reny Khaerany 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 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 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 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 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, 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 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 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 Wang, Junhai Wanto, Anjar Waqas Arshad, Muhammad Wardayani Wardayani, Wardayani Wartomo, Wartomo 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