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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan Kubik Jurnal Sains Matematika dan Statistika Edumatsains NUMERICAL (Jurnal Matematika dan Pendidikan Matematika) Sinkron : Jurnal dan Penelitian Teknik Informatika Desimal: Jurnal Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Justek : Jurnal Sains Dan Teknologi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Zeta - Math Journal Jurnal Pendidikan Matematika (JUDIKA EDUCATION) NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Zero : Jurnal Sains, Matematika, dan Terapan JISTech (Journal of Islamic Science and Technology) AXIOM : Jurnal Pendidikan dan Matematika JURNAL MathEdu (Mathematic Education Journal) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Math Educa Journal Progresif: Jurnal Ilmiah Komputer JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) SEPREN: Journal of Mathematics Education and Applied Community Development Journal: Jurnal Pengabdian Masyarakat Theta : Jurnal Pendidikan Matematika Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Pengabdian kepada Masyarakat Nusantara KUBIK: Jurnal Publikasi Ilmiah Matematika Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi FARABI: Jurnal Matematika dan Pendidikan Matematika Mathematics and Applications (MAp) Journal Humantech : Jurnal Ilmiah Multidisiplin Indonesia Jurnal IPTEK Bagi Masyarakat Journal of Mathematics and Scientific Computing With Applications Relevan Jurnal Informatika Teknologi dan Sains (Jinteks) Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Abdimas Indonesian Journal Bulletin of Applied Mathematics and Mathematics Education International Conference on Sciences Development and Technology JS (Jurnal Sekolah) Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika JME APPA : Jurnal Pengabdian Kepada Masyarakat Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia Jurnal Pengabdian Masyarakat Algebra Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat Relevan : Jurnal Pendidikan Matematika Educational Journal
Riri Syafitri Lubis
Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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APPLICATION OF DYNAMIC PROGRAMMING IN DETERMINING THE SHORTEST ROUTE PT JNE USING BACKWARD RECURSIVE EQUATION Maudya Nur Azura; Riri Syafitri Lubis
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 9 No 1 (2024): July
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v9i1.5982

Abstract

Technological progress speeds up human movement, the distribution of goods, and service provision. PT JNE, a prominent firm in Indonesia, concentrates on delivering goods swiftly and with comprehensive services.. On the other hand, problems include daily changes in delivery, delays, less than optimal routes, and expensive gasoline. The shortest ideal route for the transportation of products is found using dynamic programming and a backward recursive equation technique in this study. The Medan Belawan District as well as the JNE Medan Representative Office provided the data that was used. The findings show that a route of a → f → d → c → g → b → e → h → a is the ideal total distance for goods delivery using a dynamic programming graph is 12,2 km, with an average courier covering 16,5 km. Based on data analysis, this shows a 26% increase in efficiency over the current routes. The layout of the routes makes it easier for couriers to choose the fastest route.
The Effect of Intellectual Intelligence (IQ) and Emotional Intelligence (EQ) on Student Mathematics Learning Outcomes Rizky Mulyani; Riri Syafitri Lubis
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 12, No 2: April 2024
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v12i2.11225

Abstract

It will be possible to determine whether the learning objectives have been achieved by assessing the learning outcomes. In addition to intellectual intelligence, emotional intelligence is another factor that determines students' learning outcomes. This study aimed to determine how intellectual intelligence (IQ) and emotional intelligence (EQ) influence the mathematics learning outcomes of grade XI students of MAS TPI Sawit Seberang. Based on the hypothesis proposed, intellectual intelligence (IQ) and emotional intelligence (EQ) influence the mathematics learning outcomes of grade XI students of MAS TPI Sawit Seberang. The type of research used is quantitative research with an ex post facto method. The research instruments were an intellectual intelligence (IQ) questionnaire of 15 statements, an emotional intelligence (EQ) questionnaire of 22 valid statements, and odd semester student math report cards as data on student math learning outcomes. The data analysis techniques used were descriptive statistical analysis, prerequisite tests, and hypothesis testing. The research findings are that 62.5% of students have high-category intellectual intelligence, 72.73% have moderate-category emotional intelligence, and 98.86% have very high-category math learning outcomes. From the results of the research that has been done, the researchers draw several conclusions: (1) Intellectual intelligence (IQ) influences the mathematics learning outcomes of XI grade students of MAS TPI Sawit Seberang. (2) emotional intelligence (EQ) influences the mathematics learning outcomes of XI grade students of MAS TPI Sawit Seberang. (3) There is an effect of intellectual intelligence (IQ) and emotional intelligence (EQ) simultaneously on the mathematics learning outcomes of XI grade students of MAS TPI Sawit Seberang. Furthermore, it is expected to conduct research with other variables to determine the effect of other variables on math learning outcomes. In addition, a more sustainable testing method, such as testing conducted periodically during the student's learning year, should be used. This method will help more comprehensively and accurately determine the relationship between IQ, EQ, and student math learning outcomes.
Optimization of Rice (Oryza sativa) Crop in Simalungun District using Quadratic Programming Wolfe Model and Exterior Penalty Function Method Wulandari Wulandari; Riri Syafitri Lubis
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 12, No 1: January 2024
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v12i1.10377

Abstract

Optimization is a way of optimizing the objective function while still paying attention to existing constraints. The aim of this research is to form a mathematical model to optimize the average production of lowland and field rice in Simalungun Regency and to complete the model using Wolfe model quadratic programming and the exterior penalty function method. The mathematical model in this research is a nonlinear model created using the least squares method. Quadratic programming solves nonlinear problems by turning them into linear problems using the Kuhn Tucker condition and linear problems are solved using the Wolfe model. Meanwhile, the exterior penalty function method solves limited (constrained) nonlinear problems into unlimited (unconstrained) nonlinear problems. Based on the calculations of the two methods, optimal results were obtained for both the Wolfe quadratic programming model and the exterior penalty function method, where the average production of wetland and field rice in Simalungun Regency was 203.1925 tonnes with a wetland rice harvest area of 90.077 hectares and a field rice harvest area of 13.092. hectare. Optimization testing using this algorithm can be used as a basis for related parties such as the community and government in developing productivity. The implication of this research is an increase in harvested area and average rice production, in this case maintaining productivity stability.
Penerapan Model SIRV Penyebaranpenyakit Mulut Dan Kuku Pada Hewan Ternakdi Sumatera Utara Nasution, Dafa Al Qifti; Widyasari, Rina; Lubis, Riri Syafitri
Justek : Jurnal Sains dan Teknologi Vol 6, No 4 (2023): Desember
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v6i4.20314

Abstract

Abstract:  The aim of the research is to apply a mathematical model of the spread of infectious diseases aimed at livestock by analyzing the stability of being free from Foot and Mouth Disease in livestock and knowing the implementation of the simulation results of the model. The method used in this applied research is the Action Research method which is used to test, develop and create new actions. This type of research is quantitative which aims to test hypotheses through data collected in accordance with previous concepts. Model for the spread of FMD, obtained by the SVIEPR model where the model is divided into 6 compartments, namely: susceptible compartment (S), vaccinated compartment (V), infected compartment (I), latent compartment (E), quarantined livestock compartment (Q), and recovered compartment. (R). the results of equilibrium point stability analysis and numerical simulations show that the disease will disappear if and the disease will persist if  . So the step that can be taken to prevent the disease from becoming an epidemic is to reduce contact between susceptible individuals and (????). being infected increases the rate of individuals being vaccinated (????) and the rate of isolation after vaccination (α). Abstrak: Tujuan penelitian menerapkan model matematika penyebaran penyakit menular yang ditujukan pada hewan ternak dengan menganalisis kestabilan bebas Penyakit Mulut dan Kuku pada  hewan ternak dan mengetahui implementasi hasi simulasi model tersebut. Metode yang di gunakan pada penelitian terapan ini yaitu metode Penelitian Tindakan (Action Research) yang digunakan untuk menguji, mengembangkan dan menciptakan tindakan baru. Jenis penelitian ini yaitu kuantitatif yang bertujuan untuk menguji hipotesa melalui data-data yang terkempul sesuai dengan konsep sebelumnya. Model penyebaran PMK, diperoleh model SVIEPR dimana model dibagi atas 6 kompartemen yaitu: kompartemen rentan (S), kompartemen divaksinasi (V), kompartemen terinfeksi (I), kompartemen laten (E) kompartemen melaksanakan Hewan ternak dikarantina (Q), dan kompartemen sembuh (R). hasil analisis kestabilan titik ekuilibrium dan simulasi numerik diperoleh bahwa penyakit akan hilang jika  dan penyakit akan menetap jika . Sehingga langkah yang dapat dilakukan supaya penyakit tidak menjadi wabah adalah dengan mengurangi kontak antar individu rentan dengan (????). terinfeksi meningkatkan laju individu yang divaksinasi (????) dan laju pelaksanaan isolasi sesudah divaksinasi (α).
Penggunaan Metode Classification Analysis Regression Trees dan Iterative Dichotomizer 3 Dalam Mengklasifikasikan Pasien Hipertensi Di Rumah Sakit Umum Daerah Dr. Pirngadi KotaMedan Yulinda, Jeni; Syafitri Lubis, Riri; Aprilia, Rima
Justek : Jurnal Sains dan Teknologi Vol 6, No 4 (2023): Desember
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v6i4.20199

Abstract

Abstract:  Hypertension is a deadly disease wihtout any symptoms. The high cases of hypertension in Indonesian poses a challenge for health development in Indonesia because treating people with hypertension takes a long time and costs a lot. To find out the factors that influence hypertensive patients and reduce the death rate, an intelligent system is needed to classify hypertensive patients early. The methods used for Classification Analysis Regression Trees and Iterative Dechotomizer 3. The results of this study show that the Classification Analysis Regression Trees method produces an accuracy of 93,75%. Meanwhile, the Iterative Dechotomizer 3 method produces a low accuracy of 87,5%. So the Classification Analysis Regression Trees method is better at classifying hypertensive patients than the Iterative Dichotomizer 3 method. Variables that effect it are produced by the classification analysis regression trees  method namely diastolic blood pressure and iterative dichotomizer 3 namely heredity as parent node.Abstrak: Hipertensi merupakan salah satu penyakit yang mematikan tanpa disertai gejala. Tingginya kasus hipertensi di Indonesia menyebabkan tantangan bagi pembangunan kesehatan di Indonesia karena perawatan penderita hipertensi membutuhkan waktu yang lama dan biaya yang tidak sedikit. Untuk mengetahui faktor yang mempengaruhi pasien hipertensi serta mengurangi angka kematian diperlukan sistem cerdas untuk mengklasifikasikan pasien hipertensi secara dini. Metode yang digunakan untuk pengklasifikasian yaitu Classification Analysis Regression Trees dan Iterative Dichotomizer 3. Adapun hasil dari penelitian ini diperoleh bahwa metode Classification Analysis Regression Trees menghasilkan akurasi sebesar 93,75%. Sedangkan metode Iterative Dichotomizer 3 menghasilkan akurasi yang rendah yaitu 87,5%. Sehingga Metode Classification Analysis Regression Trees lebih baik dalam mengklasifikasikan pasien hipertensi dibandingkan metode Iterative Dichotomizer 3. Variabel yang mempengaruhinya yang dihasilkan oleh metode Classification Analysis Regression Trees yaitu tekanan darah diastolik dan Iterative Dichotomizer 3 yaitu Keturunan sebagai parent node.                 
Penerapan Model Markov Pada Perkembangan Penyakit HIV/AIDS di Kota Medan Dara Nurul Hasnah; Riri Syafitri Lubis; Rina Widyasari
SAINTIFIK Vol 10 No 2 (2024): Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/saintifik.v10i2.501

Abstract

HIV/AIDS merupakan salah satu penyakit menular yang menjadi perhatian khusus oleh pemerintah di seluruh dunia, termasuk Indonesia. Di Indonesia, Khususnya Kota Medan, Penyakit HIV/AIDS terjadi peningkatan. Sehingga, target pemerintah dalam mencapai Three Zero HIV/AIDS 2030 semakin jauh. Oleh karena itu, diperlukan suatu persiapan dengan cara memperhatikan setiap transisi dari waktu ke waktu. Untuk melakukan persiapan tersebut dapat menggunakan model Markov. Model Markov merupakan model stokastik yang digunakan pada suatu sistem yang berubah secarak acak di setiap keadaan yang berbeda. Tujuan dari penelitian ini ialah untuk mengetahui perkembangan penyakit HIV/AIDS dalam 8 tahun kedepan menuju tahun 2030. Penelitian ini menggunakan data sekunder perkembangan penyakit HIV/AIDS yaitu data HIV/AIDS, data ODHA On ART dan data meninggal pada tahun 2019 hingga tahun 2022 di Kota Medan. Dari hasil penelitian yang diperoleh, peluang transisi yang diperoleh pada tahun pertama, state HIV/AIDS memperoleh peluang sebesar , state HIV/AIDS menuju ODHA On Art sebesar , state HIV/AIDS menuju keadaan meninggal sebesar dan pada keadaan ODHA ON ART menuju keadaan meninggal cukup tinggi yaitu sebesar , ini diakibatkan adanya penderita HIV/AIDS yang tidak patuh dalam menggunakan terapi ARV dan meningkatkan resiko kematian.
Penerapan Geographically Weighted Zero-Inflated Poisson Regression pada Jumlah Kasus Tuberkulosis di Provinsi Sumatera Utara Khairun Nikmah; Riri Syafitri Lubis; Ismail Husein
SAINTIFIK Vol 10 No 2 (2024): Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/saintifik.v10i2.502

Abstract

Tuberkulosis adalah penyakit menular yang disebabkan oleh infeksi dari bakteri Mycrobacterium Tuberculosis yang masuk kedalam paru-paru dan mengakibatkan penderita mengalami gangguan sesak napas yang disertai dengan batuk terus menerus.. Perbedaan karakteristik geografis, ekonomi, sosial dan budaya antar lokasi menyebabkan penyebaran covid-19 semakin luas. Penelitian ini bertujuan untuk melihat faktor pengaruh jumlah kasus tuberkulosis di setiap kabupaten/kota menggunakan metode GWZIPR, dimana merupakan pengembangan dari metode GWR dan ZIP. Hasil penelitian menunjukkan bahwa faktor-faktor yang berpengaruh terhadap kasus tuberkulosis di setiap kab/kota terbagi menjadi 1 kelompok berdasarkan variabel signifikan pada model log (poisson state) dan logit (zero state) yaitu semua variabel signifikan pada model log dan logit tersebar di 33 kab/kota yaitu variabel persentase kepadatan penduduk, persentase jumlah puskesmas, persentase jumlah dokter, persentase penduduk miskin dan persentase tenaga perawat.
Development Of Alumni Portal Application Based Android Samsudin, Samsudin; Lubis, Riri Syafitri
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11835

Abstract

Alumni are graduates from a school, academy, high school, college, or university. Alumni are one of the important assets that must be embraced, coordinated, and developed as early as possible. The existence of alumni is very influential in improving the quality of an institution. So far, the Information Systems Study Program of UIN North Sumatra has not provided a means that can be used to collect data and track tracer study alumni so that the Information System of UIN North Sumatra has difficulties and obstacles in collecting and tracking data. tracer study alumni. The purpose of this research is to build an android-based application that can be used by alumni in filling out tracer study data online and can also assist the study program in tracking tracer study alumni easily and quickly through an android smartphone. The application development method used in this study is the Extreme Programming (XP) method which consists of planning, design, coding, and testing stages. In making a visual design of the application to be built, the author uses UML (Unified Modeling Language) tools consisting of use case diagrams, sequence diagrams, activity diagrams, and class diagrams. The application is built using the Kodular framework and the Airtable database. With this application, it is hoped that it will make it easier for alumni to fill in data and help the information system study program track alumni data easily and quickly through an Android smartphone.
Effectiveness of Decision Support System for Hydroponic Plant Nutrient Selection Using Apriori Algorithm Method Manurung, Silvi Khairiyah; Lubis, Riri Syafitri
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11975

Abstract

Hydroponics is an agricultural system that uses water as its growing medium by adding nutrients to plants without using soil. In hydroponic cultivation, the thing that needs to be considered is the provision of an optimal dose of nutrient solution as a food source for plants. The provision of nutrients that are not in accordance with the needs of plants results in plants stopping growing, so that plants do not take care of each other. The type of nutrition commonly used in hydroponic plants is AB mix. However, the use of AB mix as a hydroponic nutrient also has disadvantages, namely synthetics and the price of AB mix nutrients are quite expensive. Therefore, alternative nutrients are needed that have the potential to be used as hydroponic nutrients.  By analyzing hydroponic plant assessment data so that the rules of linkage between combinations of goods are found and form a pattern of itemset combinations with apriori algorithm. The association technique aims to find matching links in the database. From the results of data mining calculations using apriori algorithms, nutrient assessment data on hydroponic plants with the minimum support 20% and the minimum confidence 70%, formed five rules on hydroponic plant nutrition. One of the best rules is that AB mix nutrition is used on cucumber, spinach, celery, and kailan plants, so with 100% probability that POC nutrients will be good to also use on cucumber, spinach, celery, and kailan plants.
Distribution Route Optimization Using Nearest Neighbor Algorithm and Clarke and Wright Savings Pratiwi, Miftah; Lubis, Riri Syafitri
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12622

Abstract

in the process of this research Problems that occur is an irregular delivery of goods that takes a lot of time and delivery distance, so the distribution delivery process is not optimal. Therefore, researchers will conduct research on how to determine the best distribution route in optimizing delivery distance and time. The purpose of this study is to find distribution routes that are more optimal by using the nearest neighbor and Clarke and Wright savings and do a comparison with the company's current route This. The company's current mileage route is 319.9 km while using the nearest neighbor algorithm, the total distance traveled so far is obtained 240.9 and experienced mileage savings of 79 km or 25.22% and with the Clarke and Wright savings algorithm, the distance traveled is obtained 239.2 km and experienced mileage savings of 80.7 km or 25.22 %. Therefore, the Clarke and Wright Savings algorithm is more
Co-Authors Adisty, Fahliza Ahmad Sugarda Ainun Palihah Almira Amir Ananda, Lyra Anggi Pranata Annisa, Nur Alvi Aprilia, Rima Arjuna, Dimas Bagus Aslam, Fazri Aulia Turrizqiya Auliya Ramadhani, Dhea Batu, Annisa Rajaq Lumban Bella Syahrani Nasution Blaster, Irena Br Siahaan, Erika Handayani Cynthia, Mayang Modelina Dara Nurul Hasnah dewi, mutia hatina Dian Darmawan Didik Santoso Didik Santoso Dinda Renata Cecilia Dwi Haprida Ningsih Elma Dwi Ariana Aprilia Zam Elpita Sari Hasibuan Evi Borliana Siregar Fachrur Rozi Fadhliyah, Annisa Fadilatus Sahraini Siregar Fadillah, Yanna Rezki Fajriana, Fajriana Farwansyah, Mhd Rio Fatmawati, Ayu Isnaini Fernando, Anjas Fikri Husin Batubara Fuja Nauli Pasaribu Giawa, Freddy Gishela Agra Moukia Gurusinga, Ditha Aulia Harleni, Harleni Harleni, Silvia Hasibuan, Hani Maulida Hazizah, Salsabillah Hendra Cipta Heni Pujiastuti Ilham Salim Siregar Ilham Syaputra Indah Kholila Indah, Windi Rezeki Ir Zulkarnain, Ayu Najmita Binti Irena Blaster Ismail Husein, Ismail Kartika , Dinda Khairun Nikmah Kurahman, Panca Taufik Latersia, Egya Dora Lisa Setia Ningsih M Agung Pradana Manurung, Silvi Khairiyah Maudya Nur Azura Mhd Ikhsan Rifki Mohammad Badri Muhamar Chaniago, Febri Muhammad Arfie Munawar Muhammad Farhan Mingka Muhammad Vikry Rezky Rambe Muliawan, Hari Nabilla, Widi Ihdina Nadhila, Nurul Nasution, Alfina Febriani Nasution, Dafa Al Qifti Nasution, Fakhrur Rozi Nasution, Hamidah . Neliwati Neliwati Nenna Irsa Syahputri Nina Amanda Nova Audry Utami Nurmadani Nurmawati Nurmawati Nurmawati Nurul Nadhila Nusantara, Badai Charamsar Oktaviana Oktaviana Palihah, Ainun Pertiwi, Fina Nur Pohan, Ahmad Syahrial Pohan, Siti Rolizah Pradana, M Agung Prasetya, Nurul Huda Pratiwi, Miftah Pulungan, Ahmad Fauzan Putri Harahap, Rahmelia Rahayu, Sri Ulfa Rahmat Darmawan, Rahmat Rakhmawati, Fibri Riani Dwi Lestari Ricka Afriani Rima Aprilia Rima Aprilia Rina Filia Sari Rina Filia Sari, Rina Filia Rina Sari Filia Rina Widyasari Ritonga, Nurhalimah Rivani Kabrina Br Surbakti Rizkina, Ayu Rizky Mulyani Ropiqoh, Ropiqoh Ropiqoh, Ropiqoh Rusydi Ananda Ruth Mayasari Simanjuntak Sahraini Siregar, Fadilatus Sajaratud Dur Samsudin, Samsudin Sari, Evi Indah Serdano, Akbar Simamora, Devitasari Sintia Agustina Siregar Siregar, Evi Borliana Siregar, Fadilatus Sahraini Siregar, Tanti Jumaisyaroh Siti Jubaidah Siti Zunaida Nasution Suci Dahlya Narpila, Suci Dahlya Suci Permata Sari Suendri, Suendri Sulaiman Ananda Harahap Supiah Supiah Susanti, Komaria Susilowati, Rahmi Suzana, Yenny Syafitri, Ellysa Syahfitri, Fatharani Syahputra, Bayu Teza Syahputri, Linna Syahputri, Nenna Irsa Syarah, Fatmah Tanjung, Aida Febriana Tanti Jumaisyaroh Siregar Tri Amisri, Nurul Hasanah Tri Handayani Tri Lutfiah Wardah Turrizqiya, Aulia Utami, Destia Nada Utami, Ristika Dian Vani Hajari Wenny Marta Dolok Saribu Widyasari, Rina Widyasari, Rina Windi Rezeki Indah Wulandari Wulandari Wulandari, Mitha Yahfizham Yahfizham Yoffa Sunita Yulanda Novita Zebua Yulinda, Jeni Zahedi . Zakaria Alfikri Sirait Zam, Elma Dwi Ariana Aprilia