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All Journal Sainmatika: Jurnal Sains dan Matematika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Daya Matematis Delta-Pi : Jurnal Matematika dan Pendidikan Matematika Edumatsains Sinkron : Jurnal dan Penelitian Teknik Informatika Desimal: Jurnal Matematika SAMARAH: Jurnal Hukum Keluarga dan Hukum Islam 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 ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA 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 MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Symmetry: Pasundan Journal of Research in Mathematics Learning and Education M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Jurnal Matematika UNAND 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 FARABI: Jurnal Matematika dan Pendidikan Matematika 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) Jurnal Riset Matematika 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) Bulletin of Applied Mathematics and Mathematics Education International Conference on Sciences Development and Technology Jurnal Rumpun Ilmu Kesehatan International Journal of Science and Environment 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 Al-bank: Journal of Islamic Banking and Finance Semeru Jurnal Pengabdian Masyarakat Jurnal Jendela Matematika Fathana: Jurnal Psikologi Ar-Raniry Jurnal Ilmu Kedokteran dan Kesehatan Indonesia Journal of Industrial Engineering and Management Klinik: Jurnal Ilmiah Kedokteran dan Kesehatan
Hendra Cipta
Universitas Islam Negeri Sumatera Utara
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Faktor-Faktor Yang Mempengaruhi Minat Siswa SMA Untuk Melanjutkan Pendidikan Ke Perguruan Tinggi dengan Latent Class Regression Analysis Sinaga, Melly Nia Fajriani; Dur, Sajaratud; Cipta, Hendra
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2024): Sustainable Development Goal in Mathematics and Mathematics Education
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i1.3476

Abstract

Interest is an internal component within an individual that greatly influences his actions. Education is the process of changing the attitudes and behavior of a person or group in an effort to mature a person through teaching or training. The aim of this research is to determine the factors that influence high school students' interest in continuing their education to higher education using the latent class regression analysis method. The latent class regression analysis method can determine the influence of accompanying variables or covariates in the formation of latent classes. The most dominant factors influencing high school students' interest in continuing their education to higher education are needs, facilities and attention. In the first class the influencing factor is need. In the second and third classes the influencing factor is facilities. In the fourth class the influencing factor is attention.
Analisis Sentimen Jasa Ekspedisi Pengiriman Barang Menggunakan Metode Naive Bayes Matondang, Agnes Febrianti; Dur, Sajaratud; Cipta, Hendra
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2024): Sustainable Development Goal in Mathematics and Mathematics Education
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i1.3653

Abstract

Based on the comment data that has been collected through data provided by the Nugraha Eka Courier route regarding serivce to customers, a sentiment analysis will e carried out to determine positive and negative comments. The collected data is divided to be used as training data and testing data for the classification process which is supported by the rapidminer application. The method used for clarification in this study is the Naïve Bayes method. This study aims to get the value of service accuracy based on comments given by the community. The results showed that the naïve bayes method was able to classify the comments that had been collected by getting an accuracy value for positive comments of 82,25% for negative comments getting an accuracy value of 17,75%. It is avident that the proposed method can be used to classify the services of the Nugraha Eka courier (JNE) line through the comments that have been collected.
Pendekatan Regresi Spline Multivariabel untuk Pemodelan Indeks Ketahanan Pangan Provinsi Sumatera Utara Zulaika, Zulaika; Cipta, Hendra; Siregar , Machrani Adi Putri
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2024): Sustainable Development Goal in Mathematics and Mathematics Education
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i2.3666

Abstract

Food security is a condition where food is fulfilled for a household which is reflected in the availability of sufficient food both in terms of quantity and quality, safe, and equitable and affordable. In Government Regulation No. 38 of 2007 Food security has become a basic prerequisite that must be owned by autonomous regions where food security is a mandatory matter for the central, provincial, and district / city governments. To measure the food security of a region, the Government makes an indicator in looking at the achievement of food security of a region. This indicator is the Food Security Index. For this reason, it is necessary to conduct an analysis to model factors related to food security through the Food Security Index to see how much these factors contribute to the ups and downs of the Food Security Index. One statistical method that can explain the relationship between predictor variables and response variables is spline nonparametric regression analysis. Spline is an approach towards matching data while taking into account the smoothness of curves. Splines have the advantage of overcoming data patterns that show sharp rises / downs with the help of knot points, and the resulting curve is relatively smooth. The research objective of this study was to determine the modeling of the Food Security Index in North Sumatra using the Multivariable Spline Regression Method. Based on the analysis that has been done, a spline regression model for the Food Security Index in North Sumatra was obtained at three knot points with a minimum GCV value of 27.39 and R^2 is 92.76%.
Model Vector Autoregressive Exogenous (VARX) dalam Hasil Usaha Tani Buah Naga Afrina Sinaga, Serly; Cipta, Hendra; Widyasari, Rina
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 8 No. 1 (2025): Integrasi Matematika, Teknologi, dan Budaya dalam Pendidikan dan Aplikasi Terap
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v8i1.4332

Abstract

Model Vector Autoregressive Exogenous (VARX) dapat digunakan untuk memprediksi data deret waktu lebih dari satu variabel yang menggunakan variabel eksogen dalam sistem persamaannya. Model Vector Autoregressive Exogenous (VARX) yang digunakan dalam penelitian ini adalah dengan menggunakan dua variabel endogen dan satu variabel eksogen. Penelitian ini menggunakan data primer dan sekunder. Data primer yaitu data bulanan deret waktu hasil usaha tani buah naga besar dan buah naga kecil dari tahun 2021 sampai dengan tahun 2022 di Desa Pulo Pitu Marihat Kecamatan Ujung Padang Kabupaten Simalungun serta Data sekunder yaitu curah hujan. Tujuan dari penelitian ini adalah untuk memprediksikan hasil usaha tani buah naga besar dan buah naga kecil di Desa Pulo Pitu Marihat Kecamatan Ujung Padang Kabupaten Simalungun dari januari 2023 sampai dengan Desember 2024. Hasil analisis menunjukkan bahwa model Vector Autoregressive Exogenous (VARX) yang dapat diterapkan terhadap data hasil usaha tani buah naga besar dan buah naga kecil adalah Vector Autoregressive Exogenous (VARX (1,1)). Nilai MAPE untuk model Vector Autoregressive Exogenous (VARX (1,1)) pada variabel buah naga besar yaitu -22% dan buah naga kecil yaitu -27,6% sehingga ketepatan hasil prediksi model dapat dikatakan baik digunakan.
Selection Of The Most Favorite Mineral Water Among Students Using The Simple Additive Weighting (SAW) Method Indra Willy Juliansya; Hendra Cipta
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 8 No. 1 (2025): Integrasi Matematika, Teknologi, dan Budaya dalam Pendidikan dan Aplikasi Terap
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v8i1.5519

Abstract

Mineral water is a type of water that contains natural minerals or other dissolved substances that can provide taste and health benefits. However, the selection of the most favorite mineral water among students is still not accurate. This is what makes the Simple Additive Weighting (SAW) method as data processing as the selection of the most favourite mineral water and generates a ranking of the weight calculation of the mineral water selection. The SAW method is used to solve qualitative problems in the selection of mineral water, comparing one criterion to another in order to assess each brand of mineral water in the UINSU Tuntungan area and provide the results of the selection of the most favourite mineral water. This study used 100 student data, 5 brands of mineral water, and 6 criteria, namely price, taste, packaging, water quality, brand, and availability. After determining the weight value of each attribute using Simple Additive Weighting (SAW), each alternative is chosen using ranking. This technique facilitates decision-making and yields the optimum outcome. When it comes to selecting mineral water, the findings of this study offer the finest option.
DIMENSIONS OF COLLABORATION AND ACADEMIC PRODUCTIVITY IN SHARIA BANK LOYALTY RESEARCH: BIBLIOMETRIC ANALYSIS 2010 – 2024 Cipta, Hendra; Hatamar, Hatamar; Ulfa, Khoirina
ASY SYAR'IYYAH: JURNAL ILMU SYARI'AH DAN PERBANKAN ISLAM Vol. 9 No. 2 (2024): Vol 9 No 2 (2024): Asy Syar’iyyah, Vol. 9, No.2, Desember 2024
Publisher : FAKULTAS SYARIAH DAN EKONOMI ISLAM IAIN SYAIKH ABDURRAHMAN SIDDIK BANGKA BELITUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32923/asy.v9i2.5345

Abstract

Customer loyalty to Islamic banks is one of the keys to sustainability for the Islamic banking industry, especially in strong competition facing conventional banks and financial technology (fintech) innovation. Nevertheless, literature regarding this topic has not been systematically mapped. Using a bibliometric approach, this study analyzes the publication trends, leading researchers, and collaboration patterns in Islamic bank customer loyalty studies. The Web of Science (WoS) is used to collect data and the keywords for customer loyalty and Islamic banks, and the time range of 2010 to 2024 is utilized for this study. Analysis using NVivo 12 and Voyant Tools (for network mapping and descriptive statistics) In the results of the study, 174 published documents were identified, where research articles predominated, a total of 156 articles. This publication trend has been on the rise, even peaking in 2023 with 30 publications. Indonesia and Malaysia stand out geographically as the leading contributors, mirroring the role of both countries as the strategic focal point of Islamic financial development. The most highly productive institutions are establishments such as Bandung State Polytechnic (Indonesia) and International Islamic University Malaysia (Malaysia). These findings offer an invaluable literature map so that further research and strategic ante-projects could be developed, of course with some added value for Islamic banking practitioners in its context of increasing customer loyalty. This study contributes to the academic knowledge with a bibliometric method, which is not widely used in the Islamic banking context.
Robust Optimization Model Analysis for Online Sentiment Issues on Shopee using Support Vector Machine Dongoran, Raisha Zuhaira; Cipta, Hendra
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 3 (2025): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i3.31555

Abstract

In the digital economy era, e-commerce platforms like Shopee receive thousands of user reviews daily, which significantly influence customer perceptions and purchasing decisions. However, sentiment analysis of such reviews remains challenging due to the presence of noise, uncertainty, and dynamic data changes. This quantitative research aims to develop a more reliable sentiment classification model by integrating a Lexicon-Based labeling approach and Support Vector Machine (SVM) classification with a Robust Optimization framework. The labeling process uses a sentiment lexicon dictionary that assigns polarity values to words, classifying texts into positive, negative, or neutral categories. The classification process utilizes SVM to evaluate sentiment prediction based on key performance metrics: Accuracy, Precision, Recall, and F1-score. These performance metrics are treated as uncertain parameters in the optimization phase. The main contribution of this study is the formulation of a robust optimization model for sentiment analysis weighting problems, transforming a multi-criteria objective into a single-objective utility function. By applying polyhedral uncertainty modeling, the robust counterpart formulation accounts for worst-case scenarios in model evaluation. Numerical experiments using Python in Google Colab show that while the deterministic model achieves a higher performance score (0.865), the robust model yields a slightly lower score (0.825) but offers better stability under uncertainty. These results imply that robust optimization can enhance the reliability of sentiment classification systems in real-world e-commerce applications, providing more trustworthy insights for businesses in managing consumer feedback.
INTEGRASI DATA KEMISKINAN MENUJU CILEGON SEJAHTERA Cipta, Hendra
Jurnal Kebijakan Pembangunan Daerah Vol 9 No 1 (2025): Juni 2025
Publisher : Badan Perencanaan Pembangunan Daerah Provinsi Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56945/jkpd.v9i1.367

Abstract

Poverty is a problem that occurs throughout the world, especially in developing countries such as Indonesia. With a very dense population, especially in big cities, Indonesia faces various social problems. The poverty rate in Cilegon City in the last six years has fluctuated. However, the poverty line has consistently increased from IDR 428,867 in 2018 to IDR 663,533 in 2024. In 2023, the poverty rate in Cilegon City reached 3.98%, an increase of 0.34% compared to 3.64% in 2022. However, in 2024, the poverty rate decreased slightly to 3.75%.Consolidation of Targeting Data for the Acceleration of the Elimination of Extreme Poverty (P3KE) & Integrated Social Welfare Data (DTKS) by going through a data matching process using NIK (Population Identification Number) and Name data. The process is carried out by involving the SIKS -NG Operator (Next Generation Social Welfare Information System), which then after the matching results are known, they are then processed in Microsoft Excel Working paper to facilitate analysis and updating, so that the intersection between P3KE and DTKS data will be known. In the context of P3KE (Targeting the Acceleration of the Elimination of Extreme Poverty) data, ranking refers to the grouping of households based on welfare levels.
Prediction of Monthly Rainfall with Using Monte Carlo Simulation in the Medan City Area Arini, Arini; Cipta, Hendra
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 3 (2024): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i3.2307

Abstract

The climate in Indonesia, which is a tropical region, is always uncertain and makes it difficult to predict weather conditions. Weather conditions can be influenced by rainfall, air temperature, wind speed, air humidity and light radiation intensity. Rainfall is relatively high and varies throughout the year, the average monthly rainfall is around 150-300 mm in the rainy season and 50-100 mm in the dry season. There are several characteristics of rainfall, namely convective rain, frontal rain and orographic rain. For this reason, a method is needed that can solve problems in predicting monthly rainfall properties using the Monte Carlo simulation method. From this study, the results of the prediction of rainfall properties were obtained with 36 data from 2021 to 2024 which had a MAPE test result of 12.28%. The test results came from the average calculation carried out on the Monte Carlo method prediction with 5 variables.
Penerapan Model Lee-Carter untuk Peramalan Angka Harapan Hidup Berdasarkan Usia di Kota Medan Fitriani; Cipta, Hendra; Rina Widyasari
Leibniz: Jurnal Matematika Vol. 5 No. 02 (2025): Leibniz: Jurnal Matematika
Publisher : Program Studi Matematika - Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/leibniz.v5i02.509

Abstract

Angka harapan hidup merupakan indikator penting dalam menilai kualitas kesehatan dan kesejahteraan penduduk. Di Kota Medan, angka kematian, khususnya pada ibu dan bayi, mengalami peningkatan signifikan dalam beberapa tahun terakhir. Untuk memahami dan memprediksi dinamika ini, pendekatan matematis diperlukan. Penelitian ini bertujuan untuk meramalkan tingkat angka harapan hidup di Kota Medan berdasarkan usia penduduk menggunakan model Lee-Carter. Model ini merupakan metode stokastik berbasis analisis faktor yang menggabungkan model demografi dengan model time series. Data sekunder yang digunakan diperoleh dari Dinas Kependudukan dan Catatan Sipil Kota Medan tahun 2021–2023. Proses pemodelan dimulai dengan menghitung tingkat kematian pusat (central death rate), diikuti oleh estimasi parameter model Lee-Carter menggunakan Singular Value Decomposition (SVD). Indeks mortalitas kemudian diekstrapolasi dengan pendekatan time series untuk memperoleh proyeksi tingkat kematian dan probabilitas hidup. Hasil penelitian menunjukkan bahwa nilai peluang tertinggi untuk bertahan hidup terdapat pada usia 21 tahun dengan peluang sebesar 0,975 pada tahun 2021, 0,98 pada tahun 2022, dan meningkat menjadi 1,41 dan di tahun 2023 harapan hidupnya di usia 33 tahun. Nilai 1,41 mungkin berasal dari proses normalisasi atau hasil estimasi yang tidak dibatasi (unbounded) secara eksplisit dalam skala probabilistik. Maka interpretasinya lebih sebagai indikator "tingkat survival" atau kecenderungan hidup sangat tinggi, bukan peluang literal dalam bentuk probabilitas. Dengan demikian, model Lee-Carter terbukti efektif dalam meramalkan angka harapan hidup berdasarkan usia dan dapat menjadi dasar dalam perencanaan kebijakan kesehatan di Kota Medan.
Co-Authors - Hwihanus Abdul Halim Hasugian Ade Putri Oktavia Adek Kumala Sari Afrina Sinaga, Serly Agung Fitrahadi Agustian, Nandi Ahmad Ali Nasution Ahmad Fadholi Aishikin Jovanka Aisy Al-Khansa Alfinda Kharisma Amalia, Feby Ayu Ambia Nurdin Amiruddin Amiruddin Amiruddin Amiruddin Apriza, Muhammad Amizaeni Arianti, Mei Yunina Arini Arini Aulia, Surayya Ayu Annisa Suratna Ayu Hariati Ayunda, Afrila Barmawi -, Barmawi Batubara, Fikri Husin Breghi, Willy Bukhari Bukhari Clara, Nur Cellia Cynthia, Mayang Modelina Dalilah, Mufarrida Dalimunthe, Aldiansah Darmiko Suhendra Desiana Desiana Destiana, Yolanda dewi, mutia hatina Dian Aulia Zulfa Dian Maya Sari Dian Maya Sari Dian Nugraha Dimas Sunanta Diyan Mentari Siregar Dongoran, Raisha Zuhaira Dwi Ananta Br Sembiring Elsyah Suhadiyah Erika Handayani Br Siahaan Fadila Inka Syahfitri Fadillah Nay Marbintang Hrp Fahlevi, Mahfudz Reza Fatimah Ritonga Fauzi Aldina Fauzi Aldina Fernando, Anjas Fitriani Fitriani Fitriani Fitriani Fitriani Gurusinga, Ditha Aulia Gusti Arya Wicaksana Handrianto, Michael Harahap, Baran Enda Hari Kurniawan Hasibuan, Hani Maulida Hasibuan, Mhd Panerangan Hasibuan, Muhammad Afif Fauzi Hasyim Lubis Hatamar, Hatamar Hazizah, Salsabillah Ika Silvia Ramadani Ilham Syaputra Indra Willy Juliansya Ir Zulkarnain, Ayu Najmita Binti Iren Salsalina Irvani, Ahmad Islamiyah, Annisa Rizka Ismail Husein, Ismail Ismanto, Reno Isnani Nurul Deva Kana Nurrohma Khairani, Sabila Khairul Azmi Lathifah Hanum Lia Lestari Linna Syahputri Linna Syahputri Lubis, Riri Safitri M. Hafizh Ramadhan Mahyuddin Marina Ulfah Mario Bagus Sanjaya Marpaung, Rizq Alwi Matondang, Agnes Febrianti May Fitriana Hasibuan 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 Mutadhahadi Mutadhahadi mutia hatina dewi Nasrul Mahruf Aznawi Nasution, Faisal Anshori Nasution, Hamidah Nasution, Hanifa Mardiatun Nasution, Mutiah Nike Ardena Br Ginting 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 Putri, Octa Yulanda Radiamoda, Anwar Rahma Nadira Br. Munte Rahmad Azhari Tampubolon 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 Sari Rina Filia Sari, Rina Filia Rina Widyasari Rina Widyasari Rina Widyasari Rina Widyasari Rini Halila Nasution Riri Syafitri Lubis Ristika Dian Utami Rizka Auva Rafiqi Rizky Wandari Rizky, Aldi Rizq Alwi Marpaung Rohima Almahuwanah Rosnidawati Sajaratud Dur Sajaratud Dur Sajaratud Dur Sajaratud Dur Sajaratud Dur, Sajaratud SANAINI, SANAINI Santoso, Harri - Sartika Dewi Sembiring, Tesya Yunita Setyorini, Winarti Sianipar, Putri Nopriani Sinaga, Melly Nia Fajriani Siregar, Machrani Adi Putri Siti Khadijah Laoly SRI RAHAYU Sri Rahmadani, Sri Suhardina Rangkuti Suratna, Ayu Annisa Syahfitri, Nenna Irsa Syahputra, Bayu Teza Syahputri, Linna Tauratiya Teuku Maulana Uci Rahmadani Ulfa, Khoirina Umami, Fauzah Usman, Muslim Wenny Marta Dolok Saribu widya panjaitan Widyasari, Rina Wilia Usna Winda Risfani Nst Windu Asmoro Wita Sari, Eka Yuniar Amanda Lubis yusmanidar Zakirman, Al Fakhri Zakiyuddin Zakiyuddin Zakiyuddin Zakiyuddin Zamzami Zamzami Zamzami Zamzami Zulaika, Zulaika