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Penerapan Complex Proportional Assessment (COPRAS) Dalam Penentuan Kepolisian Sektor Terbaik Ginting, Garuda; Alvita, Suha; Mesran, M; Karim, Abdul; Syahrizal, Muhammad; Daulay, Nelly Khairani
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.254

Abstract

In determining the best Sector Police, many criteria must be had by every Sector Police to be the best. Some of the criteria used to determine the best Sector Police are Polsek services, completion of the crime, number of personnel, cleanliness of the Sectoral Police, and number of criminal acts. Determination of the best Sector Police to improve the performance of personnel so that they are encouraged to be better at doing their jobs than before. To avoid mistakes and be precise in determining the best Police Sector, a decision support system is needed. In this study, a case will be raised, namely finding the best alternative based on the existing criteria using the Complex Proportional Assessment (COPRAS) method. The COPRAS method is used to analyze different alternatives and estimate alternatives according to the level of utility where the values of the attributes are expressed in intervals to increase efficiency and increase accuracy in the decision-making process.
Sistem Pendukung Keputusan Rekruitmen Tenaga Kerja Mandiri Menerapkan Metode OCRA Lumban Batu, Wahyu Harry Bai; Mesran, M; Aripin, Soeb
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.472

Abstract

Independent labor in general is an important part of supporting the running of a business for entrepreneurship. Planning for manpower needs is part of the preparation of a recruitment program to make choices to attract qualified workers to an agency. However, not all selection processes have succeeded in attracting qualified workers as desired. Therefore, the role of DSS in solving this problem is urgently needed. In this study, the results of the OCRA method, the best alternative, namely A9 for Irna Yuni, S.Sos achieved a score of 0,552.
Penerapan Kombinasi Metode ROC Dan MAUT Dalam Penentuan Calon Penerima Bantuan UKT Pada Universitas Budi Darma Rajagukguk, Jumpa Dorisman; Mesran, M; Purba, Bister
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.473

Abstract

During the 2019 Coronavirus Diseases pandemic, many people were affected socially and economically, especially parents of students. Therefore, the government through universities provides a solution to help the economy, one of which is through the Single Tuition Assistance (UKT) program. In making the decision to determine the prospective recipient of UKT Assistance, the university is still constrained by time because there is quite a lot of data that must be processed or selected manually and of course, must meet several criteria that have been set by the university. In order to assist universities in making decisions to determine prospective recipients of UKT Assistance, a decision support system is needed. The Rank Order Centroid (ROC) and MAUT (Multi-Attribute Utility Theory) methods are a combination of methods that support determining the priority criteria for prospective UKT Assistance recipients. In determining the candidates who are eligible to receive UKT Assistance according to the formula and method used, in order to obtain the highest value alternative that is entitled to receive the UKT Assistance. The results of the application of the combination of the two methods so as to obtain the highest 25 alternative values of the 30 alternatives as a calculation sample with the first rank alternative value of 0.707.
Implementasi Metode Simple Additive Weighting (SAW) untuk Sistem Pendukung Keputusan Pemilihan Dosen Favorit Mahasiswa Desyanti, Desyanti; Mesran, Mesran; Windia Ambarsari, Erlin
Journal of Informatics Management and Information Technology Vol. 4 No. 3 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v4i3.406

Abstract

College X in Dumai City always strives to continuously improve internal quality so that it can compete with other universities. One effort to improve quality is by assessing lecturer performance every year. So far, the process of selecting outstanding lecturers or favorite lecturers is still based on the subjectivity of those who choose, so there is a lack of transparency in the selection process. This research discusses the application of the Simple Additive Weighting (SAW) method in a decision support system for selecting favorite lecturers at College X, Dumai. Lecturer performance assessment is based on criteria such as discipline, achievement, behavior, responsibility and communication, involving students as respondents. Data was collected through literature studies, interviews, observations and Likert scale-based questionnaires. The calculation process using the SAW method includes normalization of the decision matrix and ranking based on criteria weights. The research results show that the SAW method provides objective, transparent and systematic results in selecting favorite lecturers. The system developed is able to support universities in improving the quality of lecturers through more structured feedback.
Penerapan Metode AHP Dan Promethee Untuk Seleksi Siswa Penerima Beasiswa Bantuan Biaya Komite Sekolah Pandiangan, Ida Mayanju; Mesran, M; Fadlina, F
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.474

Abstract

The selection of scholarship recipients must go through careful consideration. Therefore, SPK is needed in overcoming these problems by applying the AHP and PROMETHEE methods. SPK is able to overcome this problem for the selection of scholarship recipients so that the resulting data is more effective and optimal Based on the criteria that have been determined, a student named Radit Pratama with a final score of 0.466 ranks as the student with the highest ranking score for granting aid scholarships.
Penerapan Complex Proportional Assessment (COPRAS) Dalam Penentuan Kepolisian Sektor Terbaik Ginting, Garuda; Alvita, Suha; Mesran, M; Karim, Abdul; Syahrizal, Muhammad; Daulay, Nelly Khairani
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (885.927 KB) | DOI: 10.30645/j-sakti.v4i2.254

Abstract

In determining the best Sector Police, many criteria must be had by every Sector Police to be the best. Some of the criteria used to determine the best Sector Police are Polsek services, completion of the crime, number of personnel, cleanliness of the Sectoral Police, and number of criminal acts. Determination of the best Sector Police to improve the performance of personnel so that they are encouraged to be better at doing their jobs than before. To avoid mistakes and be precise in determining the best Police Sector, a decision support system is needed. In this study, a case will be raised, namely finding the best alternative based on the existing criteria using the Complex Proportional Assessment (COPRAS) method. The COPRAS method is used to analyze different alternatives and estimate alternatives according to the level of utility where the values of the attributes are expressed in intervals to increase efficiency and increase accuracy in the decision-making process.
Sistem Pendukung Keputusan Rekruitmen Tenaga Kerja Mandiri Menerapkan Metode OCRA Lumban Batu, Wahyu Harry Bai; Mesran, M; Aripin, Soeb
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.472

Abstract

Independent labor in general is an important part of supporting the running of a business for entrepreneurship. Planning for manpower needs is part of the preparation of a recruitment program to make choices to attract qualified workers to an agency. However, not all selection processes have succeeded in attracting qualified workers as desired. Therefore, the role of DSS in solving this problem is urgently needed. In this study, the results of the OCRA method, the best alternative, namely A9 for Irna Yuni, S.Sos achieved a score of 0,552.
Penerapan Kombinasi Metode ROC Dan MAUT Dalam Penentuan Calon Penerima Bantuan UKT Pada Universitas Budi Darma Rajagukguk, Jumpa Dorisman; Mesran, M; Purba, Bister
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.473

Abstract

During the 2019 Coronavirus Diseases pandemic, many people were affected socially and economically, especially parents of students. Therefore, the government through universities provides a solution to help the economy, one of which is through the Single Tuition Assistance (UKT) program. In making the decision to determine the prospective recipient of UKT Assistance, the university is still constrained by time because there is quite a lot of data that must be processed or selected manually and of course, must meet several criteria that have been set by the university. In order to assist universities in making decisions to determine prospective recipients of UKT Assistance, a decision support system is needed. The Rank Order Centroid (ROC) and MAUT (Multi-Attribute Utility Theory) methods are a combination of methods that support determining the priority criteria for prospective UKT Assistance recipients. In determining the candidates who are eligible to receive UKT Assistance according to the formula and method used, in order to obtain the highest value alternative that is entitled to receive the UKT Assistance. The results of the application of the combination of the two methods so as to obtain the highest 25 alternative values of the 30 alternatives as a calculation sample with the first rank alternative value of 0.707.
Penerapan Metode Weighted Aggregated Sum Product Assessment Dalam Pemilihan Peserta Olimpiade Sains Matondang, Hasiholan; Situmorang, Dharma Bakti; Mesran, Mesran; Syahrizal, Muhammad
Bulletin of Data Science Vol 4 No 1 (2024): October 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v4i1.6410

Abstract

Science Olympiad participants will compete with other schools to show their abilities in the fields of science being contested, such as mathematics, physics, chemistry, biology and astronomy Or special themes chosen during the Olympics. This makes it difficult in the selection of participants for the Science Olympiad, because the Olympiad participants are proud and also carry the good name of the school that is studying, so that the wrong entry of participants causes problems in assessing school quality. In this study, the Science Olympiad participants were selected with the concept of a decision support algorithm using the WASPAS method. The WASPAS method, which stands for Weighted Aggregated Sum Product Assessment, is one of the methods used to minimize product defects by finding the highest and lowest values. The results of this study indicate that a student named Frans with a score of 8.7590 was selected to take part in the Science Olympiad as the best choice among the other options.
Penguatan Jiwa Entrepreneur Pada Usia Dini Dengan Prinsip Urban Farming Untuk Menanam Palawija Di Desa Batang Pane I Trans Ningsih; Mesran
ORAHUA : Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 02 (2024): Januari
Publisher : Faatuatua Media Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70404/orahua.v1i02.50

Abstract

The introduction of the concept of entrepreneurship from an early age is currently not something new. By being introduced to entrepreneurship from an early age, it is hoped that children will start to get used to understanding the scope of business, get used to thinking critically and analytically. Apart from that, children also become more active and productive because they are used to doing creative things. One simple entrepreneurial activity that can be introduced to children is planting plants around the house. Some alternative plants that can be planted are secondary crops. With urban farming principles, plant planting activities carried out by children become more efficient and effective. This is because the child does not need to bother cultivating a large area of ​​land, besides that it also does not require large costs compared to clearing land for farming.
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 Bangun, Teguh Pratama 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 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, 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 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 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 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 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 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