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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
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Penerapan Data Mining Klasifikasi C4.5 Pada Penerima Beasiswa di SMK Swasta Anak Bangsa Millah Sari; Agus Perdana Windarto; Harly Okprana
BEES: Bulletin of Electrical and Electronics Engineering Vol 1 No 3 (2021): Maret 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (729.005 KB)

Abstract

Data Mining is a series of processes to explore added value in the form of knowledge that has not been known manually from a data set. There are 5 (five) attributes used in this study, namely: Value, Attendance, Semester, Parents' Income (PO), and Number of Dependent Parents (JTO). Based on data processing using Rapid Miner 5.3.0.0 software, an accuracy value of 92.70% is obtained, meaning that the resulting rule is close to 100% correct. Where the results of the feasible precision label class are 92.05% and the inappropriate label is 93.24%. In accordance with these provisions, the results of manual calculations by Rapid Miner testing produce 9 models of rules or rules for Scholarship Recipients. This means that the results of the process carried out by researchers on the calculation of the C4.5 Algorithm and Rapidminer obtained the same and appropriate results. So that testing with Rapid Miner can be said to be successful and can find a decision tree in the case of Scholarship recipients.
Implementasi Adaptive Neuro Fuzzy Inference System (ANFIS) Dalam Memprediksi Penjualan Roti Kacang Ega Widya Sari; Agus Perdana Windarto; Rizki Alfadillah Nasution
BEES: Bulletin of Electrical and Electronics Engineering Vol 2 No 3 (2022): Maret 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bees.v2i3.1383

Abstract

Sales is an effort or concrete steps taken to move a product, whether in the form of goods or services, from producers to consumers as the target. The main purpose of sales is to bring in profits or profits from products or goods produced by producers with good management. Prediction of sales of goods is one way to maintain the stability of sales of goods, the prediction results obtained can be taken into consideration for making decisions in business management planning. Prediction is done to find out the forecast of future sales, to meet consumer needs. One of the problem solving methods used in this research is the Adaptive Neuro Fuzzy Inference System (ANFIS). ANFIS is a method that uses a Neural Network to implement a Fuzzy Inference System. By using the ANFIS method as a solution for solving the case of prediction of peanut bread sales in the future so that the prediction results can be input to UD. Family in order to provide production stock in accordance with the predictions made and can increase sales of peanut bread at UD.Family optimally
Algoritma Fungsi Perlatihan pada Machine Learning berbasis ANN untuk Peramalan Fenomena Bencana Anjar Wanto; Sarjon Defit; Agus Perdana Windarto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 2 (2021): April 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (628.416 KB) | DOI: 10.29207/resti.v5i2.3031

Abstract

Research has been carried out with several training functions using standard backpropagation methods, One-Step Secant (OSS), and Bayesian regulation. The purpose of this study was to (i) analyze the Performance accuracy (Performance) of the standard backpropagation method and (ii) optimize the training function with the One-Step Secant (OSS) and Bayesian regulation methods to obtain comparison results of the three methods in the search for the best results implementation of disaster phenomenon forecasting data. The research method is based on quantitative methods with times-series data on disaster phenomena in Indonesia over the last ten years (2011-2020) which were analyzed using two network architecture models, namely 4-8-1 and 4-10-1. The results showed that the 4-8-1 architectural model with the Bayesian regulation training function method was able to optimize quite well through accelerating training time and resulted in a low MSE measurement, although not the lowest with an epoch value of 197 iterations and a Performance of 0.0148480766. The lowest epoch value is generated by the OSS method, but it Performs poorly. The best Performance is produced by the standard backpropagation method with the traingd training function, but the training process for achieving convergence is also too long. In general, it can be concluded that the 4-8-1 architectural model with Bayesian regulation can be used to predict (predict) the phenomenon of natural disasters in Indonesia because the training time to achieve convergence is not too long and Performs exceptionally well.
Implementasi Data Mining Dengan Metode FP-Growth Terhadap Data Penjualan Barang Sebagai Strategi Penjualan Pada CV. A & A Copier Anandi Ayu; Agus Perdana Windarto; Dedi Suhendro
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 2 No. 2 (2021): RESOLUSI November 2021
Publisher : STMIK Budi Darma

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Abstract

If the seller wants to increase sales, the diversity of consumers will undoubtedly be an impediment in selecting the product to be purchased. Another issue is that vendors/decision makers struggle to select products to be re-marketed in accordance with the diversity of consumers. It is necessary to process sales data in the form of goods transactions in order to generate useful information that can be used to determine the best strategy for increasing sales. The study's goal is to analyze the FP-Growth algorithm on data sales of goods in order to make recommendations in providing sales packages for consumers as a sales strategy at CV. A & A. Data sources gathered through direct observations and interviews with the CV. A & A Copier Pematangsiantar Store. The FP-Growth algorithm is employed. RapidMiner software is used in the analysis process. 5 rules were generated from 50 transaction data records using the Market Basket Analysis application on FP-Growth on data on sales of goods, with a minimum support value of 0.4 (40 percent) and confidence of 0.95 (95 percent ). It is hoped that the research findings will provide benefits in the form of information that will assist sellers (the Stores) in selecting the best product marketing strategy to increase sales..
Pelatihan Penyusunan Kas Kecil (Petty Cash) Menggunakan Metode Imprest dan Fluktuasi untuk Meningkatkan Pembelajaran Dedi Suhendro; Agus Perdana Windarto; Anjar Wanto
JPM: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2021): Juli 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

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Abstract

Petty cash includes a number of funds specially formed for routine and relatively small expenses. Petty cash is used to mark relatively small management expenses such as purchasing office stationery, consumption funds for meeting purposes. As a person who is trusted by the leadership to manage petty cash, he must be able to organize and plan petty cash funds and make financial records that are re-booked by the company's finance department using the imprest and fluctuation methods. Many students still do not understand how and techniques to prepare petty cash using the imprest and fluctuation methods, therefore the training for preparing petty cash using the imprest and fluctuation method is very important for students of SMK Satrya Budi 2 Simalungun Regency Trade in order to face the Expertise Competency Test (UKK) and National Examination (UN) so that students can work on exam questions quickly and accurately. After participating in this training, it is hoped that the students of SMK Satrya Budi 2 Trading, Simalungun Regency can gain insight and knowledge about the methods and techniques for compiling petty cash bookkeeping, completing exam questions quickly and accurately in accordance with the allotted time. and the pass rate reaches 100%.
Pelatihan Pemantapan Sistem Operasi Linux Sebagai Bekal Persiapan Uji Kompetensi Ujian Nasional Tingkat Kejuruan Agus Perdana Windarto; Anjar Wanto; Mesran Mesran
JPM: Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2021): November 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v2i2.276

Abstract

According to the title of the program, the method of ipteks maintenance that is used is learning and exploring the Linux Operating System. Pelatihan keterampilan ditunjang dengan ceramah, tanya jawab, dan juga langsung praktek di laboratorium komputer. Modul pelatihan diberikan kepada peserta sebagai alat kegiatan praktek di laboratorium. The goal of this program's implementation is to improve the performance of SMK UISU students through the use of word processing applications, as well as to teach SMK UISU students about the Linux Operating System, in order to reduce the gap between SMK UISU student performance and the national average. Based on the results of the evaluation and the lessons learned during the implementation of the P2M program, we can conclude that the program is capable of providing significant and timely benefits to khalayak anak-anak panti asuhan, which has become a khalayak sasaran in the process. Pelatihan like this is a very effective way of providing new knowledge and understanding in the field of information technology in the context of the various learning processes that take place in schools across the country
Penerapan Metode K-Means Dalam Mengelompokkan Banyaknya Desa/ Kelurahan Menurut Keberadaan Permukiman Di Bantaran Sungai Berdasarkan Provinsi Indah Pratiwi M.S; Agus Perdana Windarto; Irfan Sudahri Damanik
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 2, No 1 (2020): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v2i1.48

Abstract

The research aims to classify the settlements along the river banks by province. To solve this problem, the researchers applied the K-Means Algorithm method. Where the source of research data was collected based on documents explaining the number of villages / sub-districts according to the existence of settlements on the river banks produced by the Central Statistics Agency (BPS). The data used in the study are data from 2014 - 2018 which consists of 34 provinces. The data will be processed by clustering in 2 clusters, namely the settlement level cluster on the high riverbank and the settlement level cluster on the low riverbank. The high cluster consists of 11 data, namely the provinces of Aceh, North Sumatra, Jambi, South Sumatra, West Java, Central Java, East Java, West Kalimantan, Central Kalimantan, South Kalimantan, and South Sulawesi. By conducting the research, it can provide input and as a solution to related parties in charge of dealing with settlement problems along the river banks, especially for the government, in order to get more attention in provinces with high riverbank settlement rates.
Analisis Metode K-Medoids Pada Penjualan Produk Smartphone Vivo Di Kota Pematangsiantar Mita Yustika; Agus Perdana Windarto; Yuegilion Pranavarna Purba
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 3, No 1 (2021): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v3i1.89

Abstract

Globalization is a very promising era of openness and freedom, where a communication which is a means to obtain information is expected to be carried out easily and effectively. One of the communication media in question is a cellphone. The users of cellphones or cellphones used to be limited to the elite, but for now it has begun to penetrate various circles of society ranging from students, university students, civil servants and even ordinary people who have used it... K-Medoids Clustering is one of the one technique of one of the data mining functionality, the clustering algorithm is an algorithm for grouping a number of data into certain data groups (clusters). While data mining, often referred to as Knowledge Discovery In Database (KDD) is an activity that includes the collection, use of historical data to find regularities, patterns or relationships in large data sets aimed at finding out the Vivo Smartphone brand that is selling well in the market so that it can be done. early procurement. From this study, it was found that Vivo smartphones with the brand S1 Pro 8+128, V17 Pro, V19 8+128GB, V19 8+256GB, Y11 2+32GB, Y12 3+64GB, Y17 4+128GB, Y19 6+128GB are brands which sold a lot. With the results obtained can provide information to PT. Vivo is improving its service even better by increasing the stock of Vivo smartphones which are in great demand, especially in the city of Pematangsiantar
Implementasi Data Mining Algoritma Apriori Pada Sistem Persediaan Bahan Bangunan Di Karang Sari Zahra Syahara; Rika Nur Adiha; Agus Perdana Windarto
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 2, No 2 (2021): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v2i2.72

Abstract

The development of construction in Indonesia is increasing rapidly, therefore building materials are needed to be used in building a construction. Every building materials store must have a transaction system and an inventory system. Whether it's an efficient or less efficient inventory system. For this reason, this research was conducted to help the owner or manager of a building shop to more easily determine the combination pattern of supplies and purchases of building goods. The a priori algorithm is used in this study because the a priori algorithm is suitable in connecting the itemset combination patterns. Therefore the a priori algorithm is suitable in determining the purchase combination pattern in order to get a good inventory system. And from the process carried out, a confidence value of 75% was obtained, not only that this research was also assisted by a priori algorithm supporting application, namely the Tanagra application.
Pelatihan Microsoft Office Bagi Guru Paud Di Kota Pematangsiantar Sebagai Upaya Pengembangan Dan Peningkatan Kemampuan Dalam Menggunakan Aplikasi Olah Kata Agus Perdana Windarto; Anjar Wanto
Jurnal TUNAS Vol 1, No 2 (2020): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (589.039 KB) | DOI: 10.30645/jtunas.v1i2.16

Abstract

The results of the implementation of service activities that have been carried out that PAUD teacher's knowledge about microsoft office learning as an application of word processing is still inadequate prior to the training. This is indicated from the results of the pre-test. Activities carried out by the team of lecturers and students of STIKOM Tunas Bangsa "Pemburu Jurnal" in kindergarten. Nazaret HKBP addressing Jl. Jend. Ahmad Yani No. 63 Pematangsiantar is a positive activity that aims to equip PAUD teachers about technological knowledge, especially microsoft office as a word processing application that is required to be known in technological 4.0. The number of 60 PAUD teacher participants in the city of Pematangsiantar who worked on the pre-test and post-test stated that the insights of knowledge about learning Microsoft Word as an application of word processing increased. In the pre-test session, test participants can answer a maximum of 9 questions correctly by 8% (5 participants) and no one can answer 10 questions correctly (0%). While in the post test session, participants were able to answer all questions correctly as many as 10 questions by 45% (28 participants).
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