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All Journal Jurnal Ilmu Pertanian Indonesia Indonesian Journal of Geography Rotasi Jurnal Gaussian Journal of Tropical Soils Berkala Ilmiah Pertanian JTSL (Jurnal Tanah dan Sumberdaya Lahan) Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) AGRIVITA, Journal of Agricultural Science Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Prima: Jurnal Pendidikan Matematika Jurnal Pengabdian Magister Pendidikan IPA Jurnal Kreativitas PKM ComTech: Computer, Mathematics and Engineering Applications Jurnal Teknologi Pertanian Andalas METIK JURNAL Jurnal Review Pendidikan dan Pengajaran (JRPP) Variance : Journal of Statistics and Its Applications Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Grouper: Jurnal Ilmiah Perikanan Jurnal Abdi Insani Jurnal Pengabdian kepada Masyarakat Nusantara Nusantara Science and Technology Proceedings JAMBURA JOURNAL OF PROBABILITY AND STATISTICS International Journal on Food, Agriculture and Natural Resources (IJFANRES) Journal La Lifesci Jurnal Pengabdian Perikanan Indonesia Jurnal Agrimanex: Agribusiness, Rural Management, and Development Extension Multica Science and Technology Idea Pengabdian Masyarakat Warisan: Journal of History and Cultural Heritage Journal of Mathematics: Theory and Applications Jurnal Pendidikan Ilmu Pengetahuan Alam (JP-IPA) Media Pertanian Journal of Applied Agricultural Science and Technology Jurnal Keperawatan Karya Bhakti Maternity and Neonatal : Jurnal Kebidanan VARIANSI: Journal of Statistics and Its Application on Teaching and Research Islam & Contemporary Issues Islamic Education Jurnal Statistika dan Komputasi (STATKOM) Innovative: Journal Of Social Science Research Basis : Jurnal Ilmiah Matematika Jurnal of Community Health Development (JCHD) Eksponensial Journal of International Multidisciplinary Research Jurnal Pengabdian Nasional (JPN) Indonesia Public Service And Governance Journal Holistik Analisis Nexus Jurnal Intelek Insan Cendikia Journal of Citizen Research and Development Jurnal Ilmiah Kesehatan IJASDS: Indonesian Journal of Applied Statistics and Data Science Jurnal Penginderaan Jauh Indonesia Jurnal Cakrawala Keperawatan Jurnal Ilmiah Pengabdian dan Pemberdayaan Masyarakat
Ika Purnamasari
Faculty Of Agriculture, University Of Jember
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Analisis Data Ketinggian Permukaan Air Sungai Mahakam Daerah Kutai Kartanegara Tahun 2010-2016 Menggunakan Model Autoregressive Integrated Moving Average (ARIMA) Dengan Efek Outlier: Studi Kasus: Data Rata-rata Ketinggian Tiap Bulan Permukaan Air Sungai Mahakam, Tenggarong, Kalimantan Timur Agustianto, Rezky; Purnamasari, Ika; Suyitno, Suyitno
EKSPONENSIAL Vol. 11 No. 1 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v11i1.643

Abstract

Measurement of water level is useful as a guide for flood events in an area. As a result of global warming it is predicted that rainfall will increase and the water level will be high, so that the chances of flooding will increase. The method often used in forecasting is the method of Autoregressive Integrated Moving Average (ARIMA). ARIMA is one of the time series forecasting methods that has been studied in depth by Box and Jenkins. ARIMA's basic concepts include,identification of models, parameter estimation, diagnostic checks and forecasting. Forecasting results with the ARIMA method are inaccurate, on data that contains outliers. The weakness of the ARIMA method can be overcome using the ARIMA method with outlier detection. The type of outlier detection in this study is additive outlier (AO). The purpose of this study was to determine the ARIMA forecasting model with an outlier effect on the average water level data of the Mahakam River in the Kutai Kartanegara Region in front of the Tenggarong Museum Building from January 2010 - December 2016. The results showed that the best forecasting model was the river Mahakam Kutai Kartanegara Region is ARIMA ([12], 1,0) with the addition of 4 outlier effects and measure of goodness is AIC with a value of 250,0776.
Penentuan Rute Terpendek dengan Menggunakan Metode Algoritma Clarke and Wright Savings Damayanti, Dwi Kartika; Purnamasari, Ika; Wasono, Wasono
EKSPONENSIAL Vol. 12 No. 1 (2021)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (722.012 KB) | DOI: 10.30872/eksponensial.v12i1.762

Abstract

Operations research is a method regarding retrieval optimal decisions in the modeling of systems, both deterministic or probabilistic orginating from real life. One of the operations research methods is The Clarke and Wright savings algorithm, which is an exchange procedure, where a set of route at each step is exchange to get a better set of routes. This method is often referred to as a method. In this research, the Clarke and Wright savings algorithm is used to find out the distribution route and the minimum costs incurred on saving. On distribution of Bottled Water (AMDK) to determine how large savings that occur on the distribution route AMDK. Bottled Water (AMDK) is drinking water that is ready to be consumed directly without having to go through the heating process first. To determine the distribution route using the Clarke and wright savings method, a depot distance matrix is made to customer and from the customer to the customer and then continues to make the clarke and wright savings matrix. After searching for the shortest route using the clarke and wright savings method, the savings value is obtained to determine the customer’s route by sorting from the largest to the smallest value. In region 1 there were 5 trips with a total distance of 210.21 km, in region 2 there were 4 trips with a total distance of 191.35 km, in region 3 there were 5 trips with a total distance of 143.85 km, in region 4 there were 5 routes with a total distance 108.24 km, and in region 5 6 trips were obtained with a total distance of 113.95 km. The total distance travelled to deliver gallons to all routes is 767.59 km.
Penerapan Latent Class Regression Analysis dalam Segmentasi Pasar Musmirani, Musmirani; Purnamasari, Ika; Suyitno, Suyitno
EKSPONENSIAL Vol. 11 No. 1 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.292 KB) | DOI: 10.30872/eksponensial.v11i1.644

Abstract

Cluster analysis is a method of grouping observation objects into several classes. One method of mixed-scale data grouping is Latent Class Regression Analysis (LCRA). The purpose of this research is to classify the opinion of Wardah's product consumers on marketing strategies (product aspects, price aspects, location aspects, and promotion aspects) PT. Paragon Technology and Innovation Regional Samarinda in 2017 with covariate variables arelength of subscription, type of work and age of consumers. Estimation of LCRA using the Expectation Maximization (EM) method, solved by the Newton-Raphson method. The result of LCRA analysis that based on consumer opinion on market segmentation, consumers are grouped into two classes.The first class is 31 consumers that strongly agrees the aspects of product, price, promotion and position are appropriate market segmentation, and the second class is 69 that quite agrees product aspects, prices, promotion and position is the appropriate market segmentation.
Penentuan Jalur Terpendek dengan Metode Heuristik Menggunakan Algoritma Sarang Semut (Ant Colony): Studi Kasus: Jalan Arteri Sekunder Kota Samarinda Hidayat, Alfian; Purnamasari, Ika; Siringoringo, Meiliyani
EKSPONENSIAL Vol. 11 No. 1 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (533.012 KB) | DOI: 10.30872/eksponensial.v11i1.649

Abstract

Ant Colony algorithm was adopted from the behavior of ant colonies, known as the system of ants, ant colonies are naturally able to find the shortest route on their way from nest to food source places. Colony of ants can find shortest route between the nest and food sources based on the trajectory of footprints that have been passed. The density of ant footprints on the path is always updating because of the evaporation of the footprints and the determination of ant pathways using probability calculations. This study aims to determine the results of determining the shortest path using the ant colony algorithm as the best route from the Samarinda City secondary arterial road with the route starts from Slamet Riyadi road to DI Panjaitan road. Based on the results of the study using the ant colony algorithm obtained the shortest path of 8.307 kilometers with footprint density of 1.005.
Analisis Regresi Probit Biner Bivariat: (Studi Kasus: Indeks Pendidikan dan Indeks Pengeluaran di Pulau Kalimantan Tahun 2017) Ariessela, Syeli; Goejantoro, Rito; Purnamasari, Ika
EKSPONENSIAL Vol. 12 No. 1 (2021)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (793.525 KB) | DOI: 10.30872/eksponensial.v12i1.764

Abstract

Bivariate binary probit regression is a regression analysis that uses two dependent variables and each has two categories. This regression analysis is used on education index data and expenditure index of district/city on Kalimantan island in 2017. The best model obtained in this regression analysis is a model that uses 4 independent variables namely APS 16-18 years, percentage of poor population, open unemployment rate, and GRDP ACMP (Gross Regional Domestic Product at Current Market Prices). The parameters that significantly influence the two dependent variables are the APS 16-18 years in models 1 and 2 and the percentage of poor people in model 2. In Samarinda, every change of the APS 16-18 years, the percentage of poor people, and the open unemployment rate of 1 the unit will increase the probability of Samarinda entering the education index and high expenditure index categories by 0,33 percent, 0,42 percent and 0,07 percent, respectively. Every change of GRDP ACMP by 1 unit will reduce the probability of Samarinda entering the education index and the high expenditure index by 1,63 percent.
Peramalan dengan Menggunakan Metode Holt-Winters Exponential Smoothing: Studi Kasus: Jumlah Wisatawan Mancanegara yang Berkunjung Ke Indonesia Aryati, Ayu; Purnamasari, Ika; Nasution, Yuki Novia
EKSPONENSIAL Vol. 11 No. 1 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.792 KB) | DOI: 10.30872/eksponensial.v11i1.650

Abstract

Forecasting is a technique for estimating a value in the future by looking at past and current data. Foreign tourists are everyone who visits a country outside their place of residence, driven by one or several needs without intending to earn income in the place visited and the duration of the visit is no more than twelve months. The method used in this study is the Holt-Winters smoothing smoothing method. In this study used data of foreign tourists visiting Indonesia in January 2014 - September 2018. The purpose of this study was to determine the pattern of data forecasting the number of foreign tourists, the value of the accuracy of forecasting, and the results of forecasting. Based on the Holt-Winters smoothing method, the data pattern for the number of foreign tourists is the multiplicative Holt-Winters data pattern. The value of the smoothing parameter combination with the smallest MAPE of 0,938% is α = 0,9; β = 0,1; and γ = 0,9. The results of forecasting the number of foreign tourists visiting Indonesia in October 2018 and November 2018 were 1.410.157 and 1.362.473 people respectively
Optimasi Algoritma Naïve Bayes Menggunakan Algoritma Genetika Untuk Memprediksi Kelulusan: Studi Kasus: Mahasiswa Jurusan Matematika FMIPA Universitas Mulawarman Feronica, Elisa; Nasution, Yuki Novia; Purnamasari, Ika
EKSPONENSIAL Vol. 13 No. 2 (2022)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1106.672 KB) | DOI: 10.30872/eksponensial.v13i2.1057

Abstract

The Naïve Bayes algorithm is classification method that uses the principle of probability to create predictive models. Naïve Bayes is based on the assumption that all its attributes are independent which can be optimized by genetic algorithms. Genetic algorithm is an optimization technique which works by imitating the process of evaluating and changing the genetic structure of living creatures. In this study, the Naive Bayes algorithm was optimized using by genetic algorithm to predict student graduation with attributes, namely gender, regional origin, admission path and employment status. The data used is the students of the Mathematics Department, Faculty of Mathematics and Natural Sciences, Mulawarman University who graduated in March 2018 to December 2020. The results of this study indicate the accuracy value generated by Naïve Bayes of 50% increased by 16,67% after the attributes were optimized by using the genetic algorithm to 66,67% with 3 selected attributes, namely regional origin, admission path and employment status
Optimasi Self-Organizing Map Menggunakan Particle Swarm Optimization untuk Mengelompokkan Desa/Kelurahan Tertinggal di Kabupaten Kutai Kartanegara Provinsi Kalimantan Timur: Studi Kasus : Data Potensi Desa Tahun 2018 Kusrahman, Nanda Yopan; Purnamasari, Ika; Amijaya, Fidia Deny Tisna
EKSPONENSIAL Vol. 11 No. 2 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.677 KB) | DOI: 10.30872/eksponensial.v11i2.656

Abstract

Self-Organizing Maps (SOM) is an efficient cluster analysis in handling high dimensional and large dataset. Particle Swarm Optimization (PSO) is an effective in nonlinear optimization problems and easy to implement. A clustering process occurs if all data can clustered into 1 cluster, however if one or two data did not join then the data have a deviant behavior called outliers or noise. PSO is used to evolve the weights for SOM to improve the clustering result and to cluster some social aspect in society, for example is poverty. Development strategies are prioritized to regions with largest population lived in poverty. Kutai Kartanegara regency (Kukar) are recorded as the biggest contributor on population lived in poverty at East Kalimantan in 2017. Development of underdeveloped villages is requires Village Potential data, which focus on visualizing the situation in the regions. This study aims to determine the number of clusters formed and to find the value of Davies Bouldin Index (DBI) from clustering underdeveloped villages in Kukar region using PODES 2018 data. This study uses 9 particle which are the final weight of the SOMs algorithm with different learning rate each particle. Based on the analysis, the optimal number of clusters is 2 clusters with DBI value of 0.7803, where cluster 1 consists of 82 underdeveloped villages and the cluster 2 consist of underdeveloped villages.
HUBUNGAN POLA ASUH ORANG TUA TERHADAP KECERDASAN EMOSIONAL ANAK USIA 10-12 TAHUN romdiyah; ika Purnamasari; Ari setyawati; Syafa Nur Azizah
Maternity and Neonatal : Jurnal Kebidanan Vol. 12 No. 2 (2024): Maternity and Neonatal : Jurnal Kebidanan
Publisher : Fakultas Ilmu Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/jmn.v12i02.2953

Abstract

Background: Children aged 10-12 years are starting to be better able to understand and manage emotions in a more complex way. One of the factors that influences emotional intelligence in children is parenting factors or parenting patterns. Objective: This research aims to determine the relationship between parenting styles and the emotional intelligence of children aged 10-12 years at SD N 1 Sikunang. Method: This research is a quantitative study with a cross sectional approach carried out at SD N 1 Sikunang involving 46 children aged 10-12 years who were taken using total sampling. This research instrument uses a questionnaire on Parenting Patterns and Emotional Intelligence. Data analysis used frequency distribution and Chi Square test.Results: The most dominant parenting style for children aged 10-12 years at SD N 1 Sikunang is authoritarian parenting (41.3%), with moderate emotional intelligence (43.5%). Based on statistical tests, it was found that there was a significant relationship between parenting patterns and children's emotional intelligence, value = 0.000 < = 0.05. Conclusion: There is a relationship between parenting styles and the emotional intelligence of children aged 10-12 years at SD N 1 Sikunang. It is recommended that further research add other factors such as parental education level and living environment.
Utilization of Altimetry Satellite Data in Investigating the Energy Potential of Tidal Current Junianto, Sony; Purnamasari, Ika; Habibi, Muhammad Nizar; Daffa, Muhamamd Zulfiqar; Yudiprasetyo, Nehemia Bagas
ROTASI Vol 26, No 1 (2024): VOLUME 26, NOMOR 1, JANUARI 2024
Publisher : Departemen Teknik Mesin, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/rotasi.26.1.35-43

Abstract

Indonesia has a theoretical potential of tidal currents energy of 287 GW. The area that has the high potential is in the strait area. The tidal current has kinetic energy that can be converted into electricity using a Tidal Currents Energy Conversion System (TCECS). One of the potential straits is the Molo Strait. To determine the characteristics of tidal currents in the Molo Strait, local numerical modeling was carried out using tidal data and verified using publicly available field data. The equation used in local numerical modeling is the equation derived from the 3-dimensional Navier-Stokes equation by looking at the horizontal coordinates. The results of this modeling may be used to determine the power density and the type of turbine technology that is suitable to be applied in the Molo Strait. This paper reports that the Molo Strait has different two-way currents flow at high and low tides. In addition, the maximum mechanical power density at the potential point, coordinates (-8.625242°,119.805644°), in the spring and neap tides of the Molo Strait are 5.47 kW/m2, 5.18 kW/m2, 0.59 kW/m2 and 0.7 kW/m2, respectively. These may be calculated into mechanical power after determining the type and dimensions of the turbine technology.
Co-Authors . Usmadi Abdillah, Moc. Reza Wahyu Abdul Haris Adhitya Wardhono Adi Pramono, Mahasyin Adinda Dwi Saputri Agnesia Margareta Purba Agung Nugroho Puspito Agung Sih Kurnianto Agustianto, Rezky Ahmad Ilham Tanzil Al-Ghofiqi, M. Faris Alfatah, Naufal Akbar Alfian Hidayat Alima, Isna Alpida Sari ALVIANA, FIFI Alya Zahra Lirinza Amelia Tri Arsita Amelia, Pidia Anam, M Khairul Anam, M. Khairul Anggreini, Rizqi Aprilia Putri Anisa Ell Raharyani Anisah, Retno Lusmiati Anna Apriana Hidayanti Aprilianti, Rina Ari Setyawati Ariessela, Syeli Arisya Rajagukguk Arthur Frans Cesar Regar Arthur Frans Cesar Regar Aruan, Friska Fransiska Arum, Ayu Puspita Arumsari, Melisa Arwan Arwan Aryana, Ida Bagus Putu Aryati, Ayu Ashari Siregar Asrul, Annisa Aprilia Astuti, Banar Astuti, Wahyu Tri Atira, Nurul Aurela, Rosalina Diva Azimah, Siti Syariah A’yun, Qonita Qurrota Bahriah, Ayu Belia Mutiara Aprili Br Depari Brena Risky Budiman, Subhan Arif Candra Dewi Rahayu Candra Dewi Rahayu, Candra Dewi Charisma, Ilmiyatul Fitri Cindy Febrian, Berlian Ciplis Gema Qori’ah Clarissa Myra Ananta Daffa, Muhamamd Zulfiqar Damanik, Selvia Andriani Putri Damayanti, Dwi Kartika Delima br Pakpahan Denny Nurdiansyah Destria Putri, Romadhona Desty, Yola Dewi, Nina Nurmalia Dhalimunte, Sadina Yanti Dhita Dwi Yanti Dian Pratama Dinda Valicia Sipayung Dona Wahyuning Laily Dwi Adinda Dwi Erwin Kusbianto Dyah Ayu Savitri Ebban Bagus Kuntadi Elangga Sony Widiharsono Else Emilia Rumekso Endah Sih Prihatini Erlyne Nadhilah Widyaningrum Erna Hayati, Erna Ersya Kamelia Rosana Fadilah, Ayu Faisol Mas’ud Faisol Masud Faisol Mas’ud Fajar Mubarok, Fajar Fanata, Wahyu Indra Duwi Fandi Saputra Nduru Fatchur Rozci Fatmi’aturro’isah, Nurul Fauziah, Fithriyatul Feronica, Elisa Fidia Deny Tisna Amijaya Firmawati, Julvia Nurlaeli Fuquh Rahmat Shaleh Garaika Gea, Natalman Gunanti Mahasri Gunsyang, Grassella Gusti, Angger Aisyah Hadiahning Habibi, Muhammad Nizar Habsari, Humairo Dyah Puji Harifin Hasbi Mubarak Suud Hidayanty, Nurul Ilma Hotmaida Berutu Husna, Kholishotul I Wayan Suastra Ida Syamsu Roidah Imasdiani, Imasdiani Irwanto Sucipto Jessica Amelia Butar Butar Joyanti Sirait Juan Carlos Ginting Juan Vito Juanda Alfario Turnip Juliartha, Made Angga Juliarto, Handy Kurniawan Juni Elfi Br Purba Kanzana, Gebina Karundeng, Franklin Peter Anton Kharisma Adi Bagaskara Khotimah, Triani Husnul Kosasih, Raditya Arya Kurniawan, Bintang Kurniawati, Emy Kusrahman, Nanda Yopan Kustianto, Muhammad Aldian Dwi Lailatus Sufiaah, Annisa Leona, Agis Lia Oktavia Ika Putri Lilis Cahaya Septiana Lioni Tantri Sigiro Lubis, Rifka Ariani Lubis, salsabila Lukitaningsih Lukitaningsih Maharani br Purba Mahmuda , Siti Mangalik, Gerald Manita, Yuni Arroh Manurung, Nadya Khaterina Marpaung, Adrian Marturianus Laia Mas'ud, Faisol Maulana, Andrian Meiriati Simanjuntak Meliala, Susan Barbara Patricia Sembiring Mellfani Rhamadinda Nendra Tigara Memi Nor Hayati Messakh, Gerald Claudio Moch Saad, Moch Saad Moch Saad, S.Pi.,M.Si Moch. Reza Wahyu Abdilah Mohammad Reyfi Syahnaz Anugrah Mohammad Ubaidillah Mohd. Apryanta Sukasa Muhajir, Shafa Al Muham, Setia Esra S. Muhammad Ibnu Adani Muhammad Naufal Syafiq Purba Muhammad Wahdeni Pramana Muhammad Waldano Mukti Ali Munandar, Denna Eriani Muntalim, Muntalim Musmirani, Musmirani Mustajab, Abdullah Azam Nainggolan, Klara Minar Sari Najuah, Najuah Nariza Wanti Wulan Sari Nasution, Delila Agustina Nasution, Muhammad Ardiman Nazwa, M. Dirham Nida, Khairun Ningrum, Dewy Maulidya Novita Agresia Manik Novita Paskah Rianti Nugraha, Pratama Yuly Nugraheni, Nazila Nur Azizah, Noviani Nur Gilang Fitriana Nur Salsabilah Harahap Nurkholifah Dwi Rahayu Nurmayanti, Wiwit Pura Nurwahyuni, Atik Octavianto, Thifan Okti, Reski Dwi oya, abas Pakpahan, Ananda Dasiva Pangruruk , Thesya Atarezcha Pangruruk Parawita Dewanti Patricia SM, Susan Barbara Peperawati, Pratiwi Rita Perangin-angin, Desta Riani Br. Piliang, Putri Hasanah Prasojo, Sri Irawan Laras Pratama, Arjun Prihati, Eka Priyono, Bagus Setyo Eko Pusparani, Syafina Puspito, Agung Nugroho Putri Indah Yani Putri, Romadhona Destria Rachman, Fatya Rachmandhika, Yusuf Rafli Edelweis Turnip Raharyani, Anisa Ell Rahayu, Yuliana Fuji Rahmawati, Rahmawati Ramadhanti, Choirul Lisa Ratnasari, Tri Raunaq, Ulya Salisa Regar, Arthur FC Rina Kumalasari Riska Annisyafira Ristiyana, Suci Rito Goejantoro, Rito Rokhani Rokhani romdiyah Romdiyah Romdiyah, Romdiyah Rondhi, M Rony, Zahara Tussoleha Rumahorbo, Ruth Debora Saad, Moch Sabana, Sobi Safitri, Fivie Safitri, Mahardika Salman Aldo Alfaresi Salomo Martines Hutasoit Salsabila, Nur Afifah Sanjaya, Rifqi Ilman Sartika, Dian Sembiring, Santa Hoky Setiani, Fibrinika Tuta Setiyono Setiyono Setyawati, Ari Setyawativ, Ari Shanya Br. Bangun Sibarani, Tesa Romanti Sifriyani, Sifriyani Sihotang, Marnita Simangunsong, Winda Helena Simaremare, Elsa Manora Sinaga, Yosua Solafide Sinurat, Gabriel Joey Febriand Siringoringo, Meiliyani Sitepu, Maria Maharani Siti Khadijah Siti Khoiriyah SITI MAHMUDAH SM, Indah Chofifah Sony Junianto Sri Mulyani Sri Suryaningsih Sri Wahyuningsih Stevany Mbu, Margaretha Sultan Ghozi Imaduddin Suparino, Balqis Widyastuti Supriadin, Andi Supriyati, Amanah Surbakti, Adriel Surya Prangga Suud, Hasbi Mubarak Suyitno Suyitno Syafa Nur Azizah Syafina Pusparani Syaripuddin Syaripuddin Tappil Rambe Tarigan, Gema Persada Taufik, Rahadian Falqi Tiara Ni’ammusyfah Pasaribu Tri Ratnasari Tri Wahyu Saputra Tsani, Nada Maulida Ubaidillah, Mohammad Ummi Sholikah Ummi Sholikhah Ustiawan, Arif Veronika Simbolon Vinc Jae Lestari Surbakti Wasono, Wasono Widia, Widia Wijayanto, Yagus Wijayanto Wildan Muhlison, Wildan Wiwit Pura Nurmayanti Woro Hastuti Setyantini Wulandari, Tri Suraning Yagus Wijayanto Yeremia Rivieri Yoandita Velina Aprilia Yuda Sanrico Simanullang Yudiprasetyo, Nehemia Bagas Yuki Novia Nasution, Yuki Novia Yuliana Santa Lore Purba Yuni Arroh Manita Yuniarti, Desi Yusuf Rachmandhika Zahrul Arief Intasar Zai, Diraningsih Zaky Firmansyah Maulana