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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Daya Matematis Delta-Pi : Jurnal Matematika dan Pendidikan Matematika Edumatsains Sinkron : Jurnal dan Penelitian Teknik Informatika Justek : Jurnal Sains Dan Teknologi JTAM (Jurnal Teori dan Aplikasi Matematika) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) Zeta - Math Journal Zero : Jurnal Sains, Matematika, dan Terapan JISTech (Journal of Islamic Science and Technology) Jurnal Ilmiah Media Sisfo JURNAL MathEdu (Mathematic Education Journal) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Symmetry: Pasundan Journal of Research in Mathematics Learning and Education M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Edugama: Jurnal Kependidikan dan Sosial Keagamaan Mawaizh : Jurnal Dakwah dan Pengembangan Sosial Kemanusiaan Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Imajiner: Jurnal Matematika dan Pendidikan Matematika Jurnal Absis : Jurnal Pendidikan Matematika dan Matematika Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Jurnal Teknik Informatika C.I.T. Medicom INFOKUM Takammul : Jurnal Studi Gender dan Islam Serta Perlindungan Anak Majalah Ilmiah Matematika dan Statistika (MIMS) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Journal of Computer Networks, Architecture and High Performance Computing Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Asy Syar'iyyah: Jurnal Ilmu Syari'ah dan Perbankan Islam Asimetris: Pendidikan Matematika dan Sains Tawshiyah: Jurnal Sosial Keagamaan dan Pendidikan Islam Leibniz: Jurnal Matematika Jurnal Ilmiah Mahasiswa Perbankan Syariah (JIMPA) Journal of Mathematics and Scientific Computing With Applications International Journal of Science and Society (IJSOC) Jurnal Pijar MIPA East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Informatika Teknologi dan Sains (Jinteks) JYRS: Journal of Youth Research and Studies Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA) Journal Keperawatan Abdimas Indonesian Journal JEBI (Jurnal Ekonomi dan Bisnis Islam) International Conference on Sciences Development and Technology Jurnal Rumpun Ilmu Kesehatan Klinik: Jurnal Ilmiah Kedokteran dan Kesehatan Journal of Educational Innovation and Public Health Jurnal Ilmu Kedokteran dan Kesehatan Indonesia Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Jurnal Penelitian Progresif (JPP) Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Digital Jurnal Kebijakan Pembangunan Daerah (JKPD) Bilangan: Jurnal Ilmiah Matematika, Kebumian dan Angkasa Society Al-bank: Journal of Islamic Banking and Finance Semeru Jurnal Pengabdian Masyarakat Jurnal Jendela Matematika Fathana: Jurnal Psikologi Ar-Raniry Madania: Jurnal Kajian Keislaman Jurnal Ilmu Kedokteran dan Kesehatan Indonesia Journal of Industrial Engineering and Management
Hendra Cipta
Universitas Islam Negeri Sumatera Utara
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Optimasi Keuntungan Pada Penjualan Kopi Dengan Metode Branch And Bound Uci Rahmadani; Hendra Cipta
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 12, No 2: Agustus 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v12i2.1509

Abstract

Coffee is one of the plants whose seeds are taken to be processed first, then produced in powder form and made into a drink. The problem with Awie Coffee Medan is that they haven't used a method to determine the amount of sales for each type of coffee. The obstacle faced is the result of coffee sales that have not been maximized. The purpose of this study is to optimize profits on coffee sales at Awie Coffee Medan. The method used is Branch And Bound or Integer Linear Programming, namely the limit branch method to find the optimal solution. After research using the POM For Windows software, the results obtained by Awie Coffee Medan were based on the use of the Branch and Bound method, the best solution chosen to achieve optimal profits, Awie Coffee had to sell Arabica Grade 1, which was initially 100 kg, to 102, Tokyo Drift remained 10 kg. , Italy  Super Crema remained at 200 kg, New York Gold remained at 50 kg, Paris Magic which was originally 80 kg became 83 kg and Espresso Bold remained at 50 kg to achieve a maximum profit of Rp. 7,600,000. At first, Awie Coffee used an estimation system to get a profit of Rp. 6,500,000, now it has increased by 16.92%.Keywords: Branch And Bound; Coffee; Integer Linear Programming; Profit AbstrakKopi adalah salah satu tanaman yang diambil bijinya untuk diproses terlebih dahulu, lalu dihasilkan dalam bentuk bubuk dan dijadikan minuman. Permasalahan yang terdapat di Awie Coffee Medan adalah belum menggunakan metode untuk menentukan jumlah penjualan pada setiap jenis kopi. Kendala yang dihadapi adalah hasil penjualan kopi yang belum maksimal. Tujuan penelitian ini mengoptimalkan keuntungan pada penjualan kopi di Awie Coffee Medan. Metode yang digunakan Branch And Bound atau Integer Linear Programming yakni metode cabang batas untuk menemukan solusi optimal. Setelah di teliti menggunakan software POM For Windows hasil yang diperoleh Awie Coffee Medan Berdasarkan penggunaan metode Branch And Bound, solusi paling terbaik yang dipilih agar mencapai keuntungan yang optimal Awie Coffee harus menjual Arabica Grade 1 yang awalnya 100 kg menjadi 102, Tokyo Drift tetap 10 Kg, Italy  Super Crema tetap 200 Kg, New York Gold tetap di 50 Kg, Paris Magic yang awalnya 80 Kg menjadi 83 Kg dan Espresso Bold tetap 50 Kg untuk mencapai keuntungan maksimal sebesar Rp. 7.600.000. Yang Mula-mula pihak Awie Coffee menggunakan sistem perkiraan mendapatkan keuntungan sebesar Rp 6.500.000 sekarang naik sebesar 16,92 %. 
PREDIKSI JUMLAH PENUMPANG ARMADA BUS PT. RAJA PERDANA INTI (RAPI) DENGAN SIMULASI MONTE CARLO Wenny Marta Dolok Saribu; Riri Syafitri Lubis; Hendra Cipta
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 3 (2023): EDISI 17
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i3.2748

Abstract

Prediction is an attempt to predict or predict something that will happen in the future by utilizing various relevant information at previous times through a scientific method. With the simulation system for predicting the number of passengers, it is hoped that it can predict the number of incoming passengers every day which will assist the company in determining the departure schedule for the PT. Raja Perdana Inti (RAPI). Monte Carlo can be used to find mathematical solutions consisting of many variables that are difficult to solve. The Monte Carlo simulation also applies a prediction simulation application as well as tests the level of accuracy and efficiency generated using this simulation. Based on the research, the prediction of the number of passengers in the bus fleet of PT. Raja Perdana Inti (RAPI) is 18719 people.
PENGARUH PENCEMARAN LINGKUNGAN TERHADAP PENYEBARAN ASMA MENGGUNAKAN METODE MATEMATIKA OPTIMAL KONTROL Panca Taufik Kurahman; Hendra Cipta
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.384

Abstract

Journal This focus on problems pollution air. which one pollution air or pollution air this is very dangerous for health human. one _ diseases caused by pollution _ air is disease Asthma is very dangerous for health human. Objective study This For now form optimal control of the deployment model asthma with influence pollution. method math used _ in study This is the optimal control ie For determine control so that can cause a fulfilling process constraint physical, and at the same time minimize or maximize.
PEMODELAN GEOGRAPHICALLY WEIGHTED REGRESSION TERHADAP FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA PUTUS SEKOLAH MENENGAH KEJURUAN DI PROVINSI SUMATERA UTARA Sajaratud Dur; Hendra Cipta; Nurul Aprilla Rizki
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.422

Abstract

The proportion of kids who are of school age but are no longer enrolled or did not complete their education at a certain level is known as the dropout rate. The majority of dropouts are from vocational high schools. One of the reasons why students leave school is because the causes of dropouts are not accurately identified. This issue persists in the field of education. One issue with geographic heterogeneity is dropout. the development of geographical effects or spatial heterogeneity as a result of variations in each region's features and the connection between their distances. Geographically Weighted Regression (GWR) is one technique for analyzing spatially heterogeneous issues. The fixed kernel's weighting function and the adaptive kernel's weighting function in this research are both gaussian. The goal of this research was to choose the most appropriate model to utilize for the GWR model on the variables influencing the dropout rate for vocational high schools in North Sumatra Province. For each North Sumatra district or city, a distinct model is generated by this study. As compared to the multiple linear regression model with Ordinary Least Square (OLS) and the GWR model with fixed kernel weighting function gaussian, the GWR model with the adaptive weighting function of the gaussian kernel is the best model used to model the factors that influence the dropout rate for vocational high schools in North Sumatra Province. This is because it has the smallest AIC value of 321.7397 and the highest of 0.9756.
Pengklasifikasian Variabel-Variabel Yang Mempengaruhi Terjadinya Stunting di Kota Medan dengan Metode Chi-Square Automatic Interaction Detection (CHAID) Fibri Rakhmawati; Mei Yunina Arianti; Rina Widyasari; Hendra Cipta
Asimetris: Jurnal Pendidikan Matematika dan Sains Vol 4 No 2 (2023): Asimetris: Jurnal Pendidikan Matematika dan Sains
Publisher : Pendidikan Matematika Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/asimetris.v4i2.2303

Abstract

Tujuan penelitian ini adalah pengklasifikasian dan menganalisis faktor mana yang sangat berepengaruh terhadap kejadian stunting di Kota Medan menggunakan metode CHAID. Metode CHAID ini bekerja dengan mengidentifikasi hubungan antara variabel dependen dan independen lalu menggunakan hubungan ini untuk mengklasifikasikan sampel. Hasil penelitian menunjukkan bahwa faktor-faktor yang berpengaruh pada kejadian stunting terhadap bayi usia 24-59 bulan di Kota Medan berdasarkan hasil analisis metode CHAID adalah Riwayat Pemerian ASI Eksklusif dan Sanitasi. Dari hasil analisis metode CHAID diperoleh tiga pengklasifikasian berbeda yaitu: (1) Bayi usia 24-59 bulan yang mengalami stunting sangat pendek adalah bayi dengan keadaan Riwayat Pemberian ASI Eksklusif tidak diberikan sebesar 54% dan sanitasi tidak layak sebesar 66,7%. (2) Bayi usia 24-59 bulan yang mengalami stunting adalah bayi dengan keadaan Riwayat Pemberian ASI Eksklusif tidak diberikan sebesar 54% dan sanitasi layak sebesar 25% dan (3) Bayi usia 24-59 bulan yang tidak mengalami stunting sangat pendek adalah bayi dengan keadaan Riwayat Pemberian ASI Eksklusif diberikan 23%. Sehingga hasil temuan penelitian ini diharapkan memberikan masukan kepada pihak terkait dalam mengantisipasi terjadinya kasus stunting dengan mengklasifikasi factor-faktor mana saja yang sangat mempengaruhi kasus stunting ini.  
The Effectiveness of Clarke Wright and Sequential Insertion Algorithm in Distribution Routing Aqua Ayu Hariati; Nurul Huda Prasetya; Hendra Cipta
Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Vol. 1 No. 1 (2021): April 2021
Publisher : Pusat Studi Pengembangan Pembelajaran Matematika Sekolah UIN Sunan Kalijaga Yogyakarta Jl. Marsda Adisucipto, Yogyakarta 55281

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/quadratic.2021.011-03

Abstract

With the Multiple Trips condition, the results obtained for the optimal distance route that starts and stops at PT. Tirta Investama Medan with Clarke Wright Algorithm at t = 1 is 22 km and at t = t + 1 is 15.2 km. While the optimal travel distance route with the Sequential Insertion Algorithm at t = 1 is 15.05 km, and at t = t + 1 is 22.9 km. Clarke Wright Algorithm looks for an optimal solution to get the best route, while Sequential Insertion Algorithm has an excess in the election of a customer by considering customer position with available insertion track location until all customer have been assigned. The Clarke Wright Algorithm obtained a total distance of 37.2 km. In comparison, the Sequential Insertion Algorithm solution obtained a total distance of 37.95 km. It can be concluded that the route formed using the Clarke Wright Algorithm in this case is more effective than using the Sequential Insertion Algorithm.
Analisis perbandingan metode MOORA dan WASPAS dalam pemilihan transportasi ojek online di Kota Medan Rezki Azmi; Hendra Cipta
Delta-Pi: Jurnal Matematika dan Pendidikan Matematika Vol 12, No 2 (2023)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/dpi.v12i2.6802

Abstract

Munculnya ojek online di kota Medan tidak hanya menimbulkan persaingan dalam ruang lingkup transportasi, tetapi juga menumbuhkan persaingan antar perusahaan transportasi yang memanfaatkan perkembangan teknologi, informasi dan komunikasi. Perkembangan teknologi pada saat ini berkembang cukup pesat dalam tujuan untuk memenuhi kebutuhan manusia. Oleh karena itu, dibutuhkan sebuah sistem yang dapat mendukung proses pengambilan keputusan dalam menentukan kebijakan strategi promosi jasa ojek online. Penelitian ini menggunakan perbandingan antara dua metode yaitu metode WASPAS dan MOORA yang bertujuan untuk menentukan metode mana yang tepat dan efisien dalam pemilihan keputusan penyedia jasa ojek online dengan kriteria tertentu. Metode MOORA merupakan metode yang memiliki tingkat perhitungan dengan menggunakan kalkulasi yang minimum dan sangat sederhana. Sedangkan metode WASPAS merupakan gabungan dari metode WP dan SAW. Metode ini menggunakan pembobotan sehingga diharapkan dapat memberikan hasil yang lebih baik dalam membantu dalam penentuan sistem pendukung keputusan. hasil perhitungan yang telah dilakukan dengan menggunakan MOORA dan metode WASPAS maka diperoleh hasil perhitungan yang berbeda antara kedua metode tersebut, tetapi memiliki urutan yang sama pada pilihan. Setelah melakukan perbandingan terhadap metode MOORA dan WASPAS dan berdasarkan hasil yang diperoleh dapat di sampaikan bahwa metode MOORA jauh lebih efektif digunakan karena lebih mudah dan cepat dalam penyelesaian.  Kata kunci Ojek Online, MOORA, WASPAS
Klasifikasi Kelayakan Penerima Bantuan Program Keluarga Harapan Di Desa Cinta Rakyat Menggunakan Metode Weighted Naive Bayes Dengan Laplace Smoothing Nurjannah Nurjannah; Hendra Cipta; Rima Aprilia
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 2 (2024): JANUARY 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i2.32069

Abstract

The Indonesian government sometimes faces difficulties in dealing with poverty problems.  The Indonesian government utilizes a number of programs and stimulants to overcome the problem of poverty.  The government's PKH program offers conditional assistance to low-income families who have been designated as PKH recipient households.  PKH provision is still below optimal standards, this may be because the data used is not updated frequently.  To assist village officials in determining which residents are eligible to receive PKH assistance, this research tries to classify the eligibility of recipient residents in Cinta Rakyat Village.  With the Weighted Naive Bayes method, classification calculations are not only based on probability distributions but also by adding weights to each attribute to the class.  Assisted with Laplace Smoothing to avoid a probability value of 0. As a result, there are eight factors that determine a person's eligibility to receive PKH assistance, including age, occupation, income, number of family members, number of dependent school children, quality of house, type of floor, and type of walls. As well as classification into eligible and non-eligible groups.  And obtained test results using the Confusion Matrix with an accuracy value of 95.65%, error rate of 4.34%, sensitivity of 100% and specificity of 94.74%.  To identify village communities who deserve PKH assistance, Cinta Rakyat Village administrators can use the findings of this research.  
Implementation of Robust Optimization Model to Controlling the Inventory Costs of Consumable Medical Equipment at Malahayati Islamic Hospital Linna Syahputri; Hendra Cipta
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 3 (2024): May 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i3.34284

Abstract

Inventory management is critical to hospitals capacity to meet patient requests. Because of the fluctuating patient volume, hospitals frequently have trouble managing their inventory of consumable medical equipment. An optimization model must therefore be used to control inventories. One hospital that calculates inventory costs using traditional methods is Malahayati Islamic Hospital. This leads to high inventory expenses and storage costs when acquiring medical supplies like three-count syringes. anything meant to lower the cost of inventories. An optimization model that can use linear programming techniques to discover the optimal solution even in situations when the data is unclear is referred to as strong optimization. By applying a strong optimization model, it shows that the results of calculating the inventory costs of consumable medical equipment at the Malahayati Islamic Hospital can save costs of 24.71% of the total inventory costs of the Malahayati Islamic Hospital.
Classification Of Factors Influencing Diabetes Mellitus Type II By Using Multivariate Adaptive Regression Spline At Rantau Prapat Regional Hospital widya panjaitan; Hendra Cipta
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 3 (2024): May 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i3.34293

Abstract

Diabetes Mellitus is a metabolic disease caused by increased levels of glucose or blood sugar. Diabetes Mellitus is divided into three different types: type I diabetes, type II diabetes, and gestational diabetes or diabetes during pregnancy.  Type 2 diabetes mellitus affects 90–95% of diabetics.  The aim of this research is to identify related factors that influence Type II Diabetes Mellitus by applying the Multivariate Adaptive Regression Spline (MARS) Method. The model with the lowest Generalized Cross-Validation (GCV) score among the models constructed is considered the best model. The research findings show that BF=10, MI=3, and MO=0 are the optimal parameter combinations for the MARS model with a GCV value of 0,09582998 .  According to research using MARS, the predictor variables with an 89.33% classification accuracy that affect the blood glucose levels of Type II Diabetes Mellitus patients include Age (X1), Gender (X2), Blood Pressure (X3), and Comorbidities (X5).
Co-Authors Adek Kumala Sari Afrina Sinaga, Serly Agustian, Nandi Ahmad Ali Nasution Ahmad Fadholi Aisy Al-Khansa Amalia, Feby Ayu Ambia Nurdin Amiruddin Amiruddin Amiruddin Amiruddin Apriza, Muhammad Amizaeni Arianti, Mei Yunina Arini Arini Aulia, Surayya Ayu Hariati Ayunda, Afrila Barmawi Barmawi, Barmawi Batubara, Fikri Husin Br. Munte, Rahma Nadira Breghi, Willy Bukhari Bukhari Clara, Nur Cellia Cynthia, Mayang Modelina Dalimunthe, Aldiansah Desiana Desiana, Desiana Destiana, Yolanda dewi, mutia hatina Dian Nugraha Dimas Sunanta Dongoran, Raisha Zuhaira Erika Handayani Br Siahaan Fadila Inka Syahfitri Fahlevi, Mahfudz Reza Fauzi Aldina Fauzi Aldina Fernando, Anjas Fitrahadi, Agung Fitriani Gurusinga, Ditha Aulia Gusti Arya Wicaksana Handrianto, Michael Harahap, Baran Enda Hari Kurniawan Harri Santoso Hasibuan, Hani Maulida Hasibuan, Mhd Panerangan Hasibuan, Muhammad Afif Fauzi Hasyim Lubis Hatamar, Hatamar Hazizah, Salsabillah Hwihanus Ida Ayu Putu Sri Widnyani Ika Silvia Ramadani Ilham Syaputra Indra Willy Juliansya Indrawati Indrawati Ir Zulkarnain, Ayu Najmita Binti Irvani, Ahmad Islamiyah, Annisa Rizka Ismail Husein, Ismail Isnani Nurul Deva Kana Nurrohma Khairani, Sabila Lathifah Hanum, Lathifah Lia Lestari Linna Syahputri Linna Syahputri Makmun, Sukran Marina Ulfah Mario Bagus Sanjaya Marpaung, Rizq Alwi Matondang, Agnes Febrianti Mei Yunina Arianti Meilani, Reka Mhd Ikhsan Rifki Mirna Rahmah Lubis Muhammad Alfi Syahri Harahap Muhammad Haikal Muhammad Haikal Muhammad Irham Setiadi Muhammad Muhammad Muliana, Muliana Muslim Mutadhahadi Mutadhahadi Nasrul Mahruf Aznawi Nasution, Faisal Anshori Nasution, Hamidah Nasution, Hanifa Mardiatun Nasution, Mutiah Ningsi, Ria Sagita Nugraha Pratama Ramadhan Nurdin, Ambia Nurfebriyanti, Endah Nurhalimah Ritonga Nurhaliza Nurhaliza Nurhaliza Nurhaliza Nurjannah Nurjannah Nurma Sari Nurul Aprilla Rizki Nurul Huda Prasetya Ok Muhammad Zikri Fadillah oktavia handayani Panca Taufik Kurahman Paramita, Esti Puspita, Reni Putra, Fani Darmawan Putri Harahap, Rahmelia Rahmad Julianto Rahmad Julianto Rahmadani, Artika Rakhmawati, Fibri Rezki Azmi Ricka Afriani Ricky Dear Fitria Ricky Dear Fitria Rico Pradana Dita Rima Aprilia Rima Aprilia Rima Aprilia Rina Filia Sari Rina Filia Sari, Rina Filia Rina Widyasari Rina Widyasari Rina Widyasari Rina Widyasari Riri Syafitri Lubis Rizka Auva Rafiqi Rizky, Aldi Rizq Alwi Marpaung Rohima Almahuwanah Rosnidawati Sajaratud Dur Sajaratud Dur Sajaratud Dur Sajaratud Dur, Sajaratud Salsalina, Iren SANAINI, SANAINI Sartika Dewi Sembiring, Tesya Yunita Setyorini, Winarti Sianipar, Putri Nopriani Sinaga, Melly Nia Fajriani Siregar, Machrani Adi Putri Siti Khadijah Laoly SRI RAHAYU Suhardina Rangkuti Suhendra, Darmiko Syahfitri, Nenna Irsa Syahputra, Bayu Teza Syahputri, Linna Teuku Maulana Uci Rahmadani Ulfa, Khoirina Utami, Ristika Dian Wenny Marta Dolok Saribu widya panjaitan Widyasari, Rina Wilia Usna Winda Risfani Nst Windu Asmoro Wita Sari, Eka Zakirman, Al Fakhri Zakiyuddin Zakiyuddin Zakiyuddin Zakiyuddin Zamzami Zamzami Zamzami Zamzami Zulaika, Zulaika