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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi Syntax Jurnal Informatika Bulletin of Electrical Engineering and Informatics Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Informatika Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi dan Sistem Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Infomedia JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA J-SAKTI (Jurnal Sains Komputer dan 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) JUSIM (Jurnal Sistem Informasi Musirawas) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Tunas Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Masyarakat Asia IJISTECH Journal of Applied Data Sciences RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Bulletin of Computer Science Research Journal of Informatics Management and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) EXPLORER BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer BEES: Bulletin of Electrical and Electronics Engineering Bulletin of Data Science Hello World Journal of Artificial Intelligence and Engineering Applications (JAIEA) JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Journal of Computing and Informatics Research Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Journal of Systems Engineering and Information Technology Journal of Informatics, Electrical and Electronics Engineering Jurnal Teknologi Informasi Mura Bulletin of Informatics and Data Science Bulletin of Artificial Intelligence Bulletin of Information System Research Prosiding Seminar Nasional Unimus Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) International Journal of Informatics and Data Science Journal of Decision Support System Research
Agus Perdana Windarto
STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
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Penerapan Metode MOORA pada Sistem Pemilihan Bibit Cabai (Kasus: Desa Bandar Siantar Kecamatan Gunung Malela) Chairul Fadlan; Agus Perdana Windarto; Irfan Sudahri Damanik
Journal of Applied Informatics and Computing Vol 3 No 2 (2019): Desember 2019
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (735.211 KB) | DOI: 10.30871/jaic.v3i2.1324

Abstract

Red chili is one of the plants that is often used as a complement to spices in Indonesian society and makes chili plants one of their main crops. Some farmers often find it difficult to determine which chili seeds are good and resistant to viruses. In addition, farmers are also difficult to determine good chili seeds at affordable prices. The difficulty of determining which chili seeds are good often makes some farmers fail harvests and suffer considerable losses. This research was conducted in the village of Bandar Siantar, Gunung Malela District. Data is obtained by interviewing and observing directly to chili farmers. This study uses a decision support system technique with the Multi-Objective Optimization method on the basis of Ratio Analysis (MOORA) which can help farmers to determine good chili seeds. The assessment criteria used were the price of seeds (C1), Harvest Period (C2), Fruit Length (C3), Fruit Weight (C4), Chili Disease (C5), Number of Branches (C6) with 8 alternatives, namely: Lado (A1), Taro (A2), Belinda (A3), TM (A4), Kripsy (A5), Tebing (A6), Indra Pura (A7) and Keling (A8). The results of applying the MOORA method in choosing chili seeds are the type of Lado (A1) chili with a value (Yi (max) = 0.2080) becomes the first recommendation, TM (A4) with a value (Yi (max) = 0.2071) being ranked second and Indra Pura (A7) with a value (Yi (max) = 0.1974) becomes third place. This research is expected to help farmers in determining good chili seeds so that they can help the economy of the farmers and avoid crop failure, especially in the village of Bandar Siantar, Gunung Malela District.
Analysis of determining customer priority complaints by using Analytic Hierarchy Process (AHP) techniques in PDAM Tirtauli Pematangsiantar Eka Desriani Aritonang; Agus Perdana Windarto; Wida Prima Mustika
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (977.851 KB) | DOI: 10.30645/ijistech.v3i2.50

Abstract

The purpose of this study is to analyze the priority determination of customer complaints by using ranking techniques in decision support systems. Data sources were obtained from PDAM Tirtauli Pematangsiantar by conducting interviews and direct observation. Data obtained directly at PDAM Tirtauli Pematangsiantar. The technique used is the AHP (Analytical Hierarchy Process) method. The assessment criteria used are: Dead Air (K1), Pipeline Damage (K2), Customer Damage Pipeline (K3) and Damage Meter (K4). The results of the study were obtained from 4 criteria, obtained "Dead Water" (K1) with a value (0.502) as the first rank, and "Service pipe damage" (K2) as the second rank.
Implementasi Algoritma Apriori Terhadap Data Penjualan di Toko Roti Ganda Pematangsiantar Tri Ayu Lestari; Ratih Ramadhanti; Agus Perdana Windarto
Bulletin of Computer Science Research Vol. 1 No. 2 (2021): April 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The tight market competition, especially for the sale of bread in Pematang Siantar City, makes all bakeries in that city have to maximize the quality of goods to increase sales and adjust consumer interest in the amount of goods produced. This research took place at the double bakery shop because this shop was the most popular. It aims to build a sales system by applying the apriopri algorithm data mining method in calculating sales data and turnover income from consumers through selecting the products that consumers are most interested in. Sources of data from this study were obtained through interviews and direct observation of consumers.
Estimasi Laju Pertumbuhan Penduduk Menggunakan Metode Regresi Linier Berganda Pada BPS Simalungun Fica Oktavia Lusiana; Indri Fatma; Agus Perdana Windarto
Journal of Informatics Management and Information Technology Vol. 1 No. 2 (2021): April 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The Central Statistics Agency (CSA) is a non-departmental government agency that reports directly to the president. The use of data collection is for state data collection for the needs of economic strategies, infrastructure, and so on. So that the CSA institution must be able to predict the estimated rate of population growth. Particularly one of the CSA institutions in North Sumatra, CSA Simalungun, has experienced problems in estimating the population growth rate. Multiple linear regression model is the development of a simple linear regression model. If the simple linear regression model consists of only one independent variable and one dependent variable, then in multiple linear regression the number of independent variables is more than one and one dependent variable. The stages carried out in the data mining process begin with data selection from source data to target data, the preprocessing stage to improve data quality, transformation, data mining and interpretation and evaluation stages which produce output in the form of new knowledge which is expected to make a better contribution.
Analisis Algoritma Apriori Dalam Menentukan Pola Pemesanan Konsumen Pada Ucokopi Dewinta Marthadinata Sinaga; Wiranto Hernandesz Sirait; Agus Perdana Windarto
Journal of Informatics Management and Information Technology Vol. 1 No. 2 (2021): April 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Ucokopi is a business engaged in the sale of food and beverages for the general public. The menus are served in the form of snacks such as french fries, fried rice, sausages and so on, as well as various drinks processed at economical prices, especially for students and students. The large number of consumer orders everyday will increase the amount of transaction data. Existing data can be processed to determine the combination of food and beverage menu itemset that consumers often buy so as to produce important information. The problem that often occurs is the unavailability of consumer order menus which are classified as in demand. This research was conducted in Pematangsiantar city. The purpose of this study was to analyze a sales strategy through the association search process. Based on these results, it can be obtained that if you buy Ginger Milk, it is 100% most likely to buy Sausages, if you buy Milk Coffee, 88% are most likely to buy Penyet Chicken Rice, if you buy Sausages then 75% are most likely to buy Potatoes. It is hoped that the research results can provide information to Ucok Cafe business owners in providing food and beverage stocks that are most in demand and can adjust the menu placement based on a combination of menu itemset that is formed to increase sales.
Penerapan Metode Adaptie Neuro Fuzzy Inference dalam Memprediksi Penjualan Buku Zulfia Darma; Agus Perdana Windarto; Dedi Suhendro
Journal of Informatics Management and Information Technology Vol. 2 No. 1 (2022): January 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v2i1.153

Abstract

The increase in sales of items or product componies continues to increase based on the needs of the community. With the increase in sales will greatly affect the income of a company. So a mature sales strategy is needed. The number of visitors has a great influence on sales transactions. The more visitors, the more likely the transaction can be predicted. The number of visitors every day is different and has an unequal percentage in making sales transactions. One way to increase sales revenue is to predict sales based on the average number of stock so that sales strategy planning can be right on target. Related to this, the author conducts research to predict the number of book sales based on the pattern that occurs from the number of book stock at PT. Tiga Serangkai Pustaka Mandiri Pematangsiantar. By applying the Adaptive Neuro Fuzzy Inference System (ANFIS) method in predicting book sales in 2018-2020. The amount of data used is 36 data, divided into training data (23 data) and testing (13 data) using 2 input variables namely orders and stock, 1 input variable is sales. In testing with matlab software, the training process uses mf trimf with 9 rules which produces the smallest error value of 1.045 at epoch 36, with an accuracy rate of 57%
Sistem Pakar Mendeteksi Kerusakan Pada Receiver Parabola dengan Menggunakan Metode Forward Chaining Berbasis Android Sahendra Fahreza; Sundari Retno Andani; Hendry Qurniawan; Agus Perdana Windarto; Irfan Sudahri Damanik
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 1 No. 3 (2020): KLIK Desember
Publisher : STMIK Budi Darma

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Abstract

The purpose of this research is for the damage contained in the parabolic receiver using the forward chaining method and building an appropriate and accurate expert system application to provide information about the damage that is in the parabolic receiver. Sources of data were obtained by direct interviews with the owner of the workshop, ardi, whose address was Jl. Pabatu VI Village, Kec. Dolok Merawan, Kab. Serdang Bedagai, North Sumatra. The implementation of this application is in the form of an android application. The results state that it can be applied to damage to parabolic receivers using the forward chaining method which is caused by various kinds of problems that damage users of parabolic receivers so that this application can provide information on how to handle and how to prevent it, thus helping parabolic users in symptomatic symptoms and types of systems-types of damage. the symptoms experienced by users who receive a satellite dish
Analisa Metode ANP pada Pemilihan Alat Cukur Rambut Ima Kurniawan; Ogi Wahyudi; Marini Marini; Agus Perdana Windarto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 1 No. 6 (2021): Juni 2021
Publisher : STMIK Budi Darma

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Abstract

Barbershop business is a service business that has very bright prospects, considering that this business is needed by everyone, from children, teenagers, adults, to the elderly. The development of this business is certainly influenced by the fact that human hair continues to grow every second. When it is long, the hair will be cut. And, not everyone can cut their hair neatly and nicely, so many people choose to entrust the job to a hairdresser. To run this business, there are many tools and equipment that must be prepared, one of which is a hair clipper. There are many factors to consider when choosing a hair clipper. Therefore, to overcome this problem, the purpose of this study is to determine the sub-criteria in the selection of hair clippers and to choose the right hair shaver. In this study, the method used is the Analytic Network Process (ANP) method. This ANP method is a development of the Analytic Hierarchy Process (AHP) method. This ANP method is able to accommodate linkages between criteria, sub-criteria or alternatives. From the research that has been done, there are 4 criteria and 8 sub-criteria and 7 alternative choices. Based on the results of data processing, the weights for the criteria are: Price (0.35), Machine Type (0.32), Material (0.13), Function (0.19). While the weights for the alternatives are as follows: Kemei KM-809A Electric Hair Clipper (0.0507), Mitsuyama MS-5022 Professional Trimmer (0.029), Wahl Cordless Magic Clip (0.026), Nova NHC 3788 Professional Rechargeable Trimmer (0.0178), Philips HC3426/ 15 Hair Clipper (0.0156), Harnic HCL-008 Magnetic Hair Clipper (0.0121), Small Mountain STM-A008 (0.0072)
Analisis Data Mining Algoritma Decision Tree Pada Prediksi Persediaan Obat (Studi Kasus : Apotek Franch Farma) Dwita Elisa Sinaga; Agus Perdana Windarto; Rizki Alfadillah Nasution
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 4 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v2i4.328

Abstract

Medicine is an object that is formulated by medical personnel to assist in preventing, healing, recovering, and improving the health of patients. Pharmacies are places that provide various types of drugs that are needed by patients, but pharmacies often have problems in providing drugs which result in a shortage of goods when someone needs it. aspect. This problem will be solved by using the C4.5 algorithm based on data obtained from the Franch Farma Pharmacy. The purpose of this study is to predict the supply of drugs that will be needed by dividing them into 6 variables, namely the name of the item, type of drug, inventory, initial stock, ending stock, and goal. The research test process uses Rapidminer software to create a decision tree. And the results obtained are 12 rules to predict drug supplies to be carried out by Franch Farma Pharmacy with an accuracy rate of 80.00%. From the results of the analysis, it is hoped that it can help pharmacists in making drug supplies more effective and efficient.
Akurasi Prediksi Ekspor Tanaman Obat, Aromatik dan Rempah-Rempah Menggunakan Machine Learning Muhammad Mahendra; Roy Chandra Telaumbanua; Anjar Wanto; Agus Perdana Windarto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 6 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v2i6.402

Abstract

Spices are parts of plants that have a strong aroma and are used in small amounts in foods as flavours, preservatives, and food coloring. Spices are usually used as medicines, natural dyes, and spices. As a kitchen spice, spices have a variety of types, but have almost the same shape and color. In this study, the Machine Learning algorithm was tested which is one of the Artificial Neural Network methods that is often used to predict data. The research data used are export data of medicinal, aromatic and spice plants in 2012-2020. Based on this data, a network architecture model will be determined, including 3-10-1, 3-15-1, 3-20-1, 3-25-1. From the five models, training and testing were carried out first and then obtained the results that the best architectural model was 3-10-1 with 0.01929300. So it can be concluded that the model can be used to predict the export data of medicinal, aromatic and spice plants
Co-Authors Abdul Karim Abdullah Ahmad Acai Sudirman Ade Dwi Amanda Adinda Putri Azhari Afrialita Widiastari Afrina Wati Alkhairi, Putrama Alkhairi, Putrama Alrizca Trydillah Alrizca Trydillah M Amanda, Ade Dwi Ambariyanto Ambariyanto Amri Amri Anan Wibowo Anandi Ayu Anggi Trifani Anjani, Dila Dwi Annisa, Liza Aprilia Syahputri Arfandi Arfandi Ariana, Anak Agung Gede Bagus Arieni, Fildzah Nadya Arifah Hanum Arifin Nur, Khairun Nisa Aulanda, Lulu Aulia Sugarda Aulia Sugarda Ayu Wulandari Ayu, Nur Zannah sekar Azhari, Ridhan Azzahra, Fahrija B. Herawan Hayadi Badawi, Masrof Beauti, Intan Bintang Aufa Sultan Butarbutar, Marisi Chairul Fadlan Chairul Fadlan Chintya Irwana Cici Astria Cici Astria Cici Astria Dedi Suhendro Dedi Suhendro Dedi Suhendro Dedi Suhendro Dedi Suhendro Dedy Hartama Dedy Hartama Dedy Hartama Dedy Hartama Dedy Hartama Dedy Hartama Defit, Sarjon Della Puspita Deri Setiawan Desi Asima Silitonga Desi Asima Silitonga Desi Ratna Sari Devi Syahfitri Dewi Fortuna Efendi Dewinta Marthadinata Sinaga Deza Geraldin Salsabilah Saragih Dicky Wahyudi Manurung Dinda Nabila Batubara Dinda Nabila Batubara Dinda Nabila Batubara Dini Rizky Sitorus P Dio Hutabarat Disty Wahyuli Dwi Findi Auliasari Dwi Findi Auliasari Dwira Azi Pragana Dwira Azi Pragana Dwita Elisa Sinaga Edi Suharto Edy Satria Efendi, Muhamad Masjun Ega Widya Sari Eka Desriani Aritonang Eka Irawan Eka Irawan Eka Irawan Erbin Chandra Erlin Windia Ambarsari Evani Sitohang Fachri, Barany Fadhillah Azmi Tanjung Fadilla Anissa Fadillah Alwi Pambudi Fadlan, Chairul Fahrija Azzahra Fahry Husaini Fahry Husaini Fajar Syahputra Fania, Fira Fanny Adelia Fatmawati, Kiki Febiola, Adinda Fica Oktavia Lusiana Fifto Nugroho Fira Fania Fira Fania Fitri Rizki Frskila Parhusip Gita Febrianti Gita Febrianti Gumilar Ramadhan Pangaribuan Handrizal Handrizal Handrizal Handrizal Hanifah Urbach Sari Hanifah Urbach Sari Harahap, Zaki Faizin Hartama, Dedy Hartama, Dedy Hasudungan Siahaan Hendry Qurniawan Hendry Qurniawan Hendry Qurniawan Hersatoto Listiyono Heru Satria Tambunan Ht. Barat, Ade Ismiaty Ramadhona I Gede Iwan Sudipa Ida Mayanju Pandiangan Ihsan Maulana Muhamad Ihsan Syajidan Iin Indriani Iin Parlina Iin Parlina Iin Parlina Iis Warlinda Ikhwan Lubis Ilham Syahputra Saragih Ima Kurniawan Indah Dea Anastasia Indah Pratiwi M.S Indah Syahputri Indra Riyana Rahadjeng Indri Fatma Irfan Sudahri Damanik Irnanda, Khairunnissa Fanny Irwana, Chintya Isnaini, Alvina Ivo Yohana Manurung Iwan Purnama Jahril Jalaluddin Jalaluddin Jaya Tata Hardinata Johan Muslim Jufriadif Na`am, Jufriadif Khairun Nisa Arifin Nur Khairunnissa Fanny Irnanda Khairunnissa Fanny Irnanda Kiki Apni Puspita Sari Kiki Fatmawati Kurniawan Kurniawan Kusuma, Rizky Tri Leza Khairani Linda Sari Dewi Listy Oktaviani Lubis, Ikhwan M Fauzan M Fauzan M Fauzan M Fauzan M Fauzan M FAUZAN M Fauzan M Mesran M Mesran M. Fauzan M.Ridwan Lubis Manurung, Dicky Wahyudi Maria Etty Simbolon Marini Marini Masitha Masitha Masitha, Masitha Maulidya Rahma Siregar Mawaddah Anjelita Mawaddah Anjelita Mesran Mesran Mesran, Mesran Mhd Gading Sadewo Mhd Gading Sadewo Mhd Gading Sadewo Mhd Ridhon Ritonga Millah Sari Miralda, Viya Mita Yustika Mokhamad Ramdhani Raharjo Mokhamad Ramdhani Raharjo Mora Malemta Sitomorang Muhamad Muhamad Muhammad Alfahrizi Lubis Muhammad Aliyul Amri Muhammad Dwi Chandra Muhammad Fachrur Rozi Muhammad Fauzan Muhammad Kurniawansyah Muhammad Mahendra Muhammad Noor Hasan Siregar Muhammad Ridwan Lubis Muhammad Ridwan Lubis Muhammad Yasin Simargolang muhammad yuda rizki Muhammad Yuda Rizki Muliadi Musiafa, Zayid Mustika Azzahra N Nurhayati N Nurhayati Nasution, Della Fatricia Nasution, Irmanita Nasution, Rizki Alfadillah Nazlina Izmi Addyna Nelson Butarbutar Nila Soraya Damanik Ninaria Purba Ningsih, Selfia Novika, Tri Nur Wulandari Nurul Atina Nurul Izzah Hadiana Nurul Rofiqo Nurwijayanti Ogi Wahyudi Okprana, Harly Oktaviani, Selli Onita Sari Sinaga P, Dini Rizky Sitorus P.P.P.A.N.W Fikrul Ilmi R.H.Zer Parinduri, Ikhsan Parlina, Iin Poningsih Poningsih Poningsih Poningsih Poningsih Poningsih, Poningsih Prakasiwi, Cindy Pramesti, Adinda Frizy Prihandoko Prihandoko Putrama Alkhairi Putrama Alkhairi Putrama Alkhairi Rafiqotul Husna Raharjo, Mokhamad Ramdhani Rahmat Widia Sembiring - Rahmat Zulpani Raichan Septiono Ramadana, Rica Ramadani, Sri Ramadhani, Cerah Fitri Ranjani Rapianto Sinaga Ratih Ramadhanti Ratika Rizka Lubis Razalfa Aindi Siregar Rica Ramadana Ridho, Ihda Innar Rika Nur Adiha Rika Setiana Rika Setiana Rika Setiana Riski Yanti Rizal Efendi Rizki, Muhammad Yuda Rofiqo, Nurul Rohmat Indra Borman Rohmat Indra Borman Ronal Watrianthos Roni Kurniawan Rosanti, Yerika Puspa Rotua Sihombing Hutasoit Roy Chandra Telaumbanua Rozy, Muhammad Fachrur S Solikhun S Solikhun Sadewo, Mhd Gading Sahendra Fahreza Saidah, Fatiyah Saifullah Saifullah Saifullah Saifullah Salis, Rahmi Samosir, Rafiah Aini Sandy Erlangga Sari, Hanifah Urbach Sari, Riyani Wulan Sari, Riyani Wulan Sarjon Defit Sekar Rizkya Rani Selfia Ningsih Setiawan, Yudika Dwi Setiawansyah Setiawansyah Sigit Anugerah Wardana Sinaga, Dolli Sari Sinaga, Waris Pardingatan Sinta Maulina Dewi Sinta Maulina Dewi Sintya Sintya Siregar, Razalfa Aindi Siregar, Sandy Putra Siti Hajar Siti Hawani Siti Maysaroh Siti Sundari Sitompul, Wati Rizky Pebrianti Sitti Rachmawati Yahya Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun, Solikhun Sri Rahayu Ningsih Sri Ramadani Suci Cahya Mita Suhada Suhada Suhendro, Dedi Sundari Retno Andani Sundari Retno Andani Susi Susilowati, Susi Syahfitri, Retno Ayu Syahputra, Fajar Syahputra, Muhammad Tania Dian Tri Utami Tanjung, Fadhillah Azmi Tanjung, Fatimah Dwi Puspa Tia Imanda Sari Tia Imandasari Tia Imandasari Tira Sifrah Saragih Manihuruk Tri Ayu Lestari Tri Novika Tri Novika Tri Welanda Trydillah, Alrizca Ulfah Indriani Viya Miralda Waldi Setiawan Wanto, Anjar Warlinda, Iis Wendi Robiansyah Wendi Robiansyah Wida Prima Mustika Widiastari, Afrialita Widodo Saputra Widya Try Taradipa Winanjaya, Riki Winda Lidyasari Winda Permata Sari Wiranto Hernandesz Sirait Yanto, Musli Yuegilion Pranavarna Purba Yuegilion Pranayama Purba Yuhandri Yuhandri, Yuhandri Yuhandri, Muhammad Habib Yuli Sartika Nasution Yulia Andini Yuni Sara Luvia Zahra Nur Atthiyah Zahra Syahara Zaki Faizin Harahap Zer, P. P.P.A.N.W.Fikrul Ilmi R.H. Zulfia Darma Zuly Budiarso