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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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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.
THE IMPACT OF SOCIAL FACTORS AND CURRICULUM ON THE ENTREPRENEURIAL INTENTIONS OF MUSLIM STUDENTS Cipta, Hendra; Hatamar, Hatamar
Mawaizh : Jurnal Dakwah dan Pengembangan Sosial Kemanusiaan Vol. 15 No. 2 (2024): Vol 15 No 2 (2024) : Islamic Society
Publisher : Faculty of Da’wa and Islamic Communication, State Institute for Islamic Studies of Syaikh Abdurrahman Siddik Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32923/maw.v15i2.5342

Abstract

This study looks into how social factors like social interaction, family support, and career orientation, along with curriculum elements, especially the implementation of the Merdeka Belajar-Kampus Merdeka Curriculum (MBKM), influence the entrepreneurial intentions of students at Islamic religious universities in Indonesia. The research uses a quantitative approach with the Structural Equation Modeling - Partial Least Squares (SEM-PLS) method. A total of 392 students from ten Islamic religious universities across Indonesia took part in the study. The findings revealed that social interaction and family support had a significant impact on students' entrepreneurial intentions, whereas career orientation did not have a notable effect. The introduction of the MBKM curriculum greatly boosts students' entrepreneurial intentions. These results provide both theoretical insights and practical guidance for promoting entrepreneurship in Islamic religious universities. They highlight the importance of MBKM policies, reinforced by social factors such as social interaction and family support, in nurturing students' entrepreneurial spirit. Therefore, combining the MBKM curriculum with a supportive social environment could be an effective strategy to build an entrepreneurial ecosystem within Islamic religious universities in Indonesia.
Penerapan Metode Regresi Probit Biner dalam Menganalisis Faktor-Faktor yang Berpengaruh pada Tingkat Partisipasi Angkatan Kerja Wanita Utami, Ristika Dian; Lubis, Riri Syafitri; Cipta, Hendra
Justek : Jurnal Sains dan Teknologi Vol 8, No 2 (2025): Juni
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i2.29162

Abstract

Abstract:  The female labor force participation rate (LFPR) describes the percentage of the female population of working age who are engaged in economic activities. In this condition, the problem that often arises is that the LFPR of women is still lower than the LFPR of men, and the gap between the two is quite far. The purpose of this study is to find out what factors affect the LFPR of women in North Sumatra Province. The method used is binary probit regression method. The data revealed that 45.5% of districts/cities in North Sumatra Province were classified as low LFPR category. The results showed that the level of education (X1) and the informal sector (X5) had a significant effect on female TPAK with a classification accuracy value of 93.9%, indicating that the binary probit regression model used was able to classify the data correctly with a high level of accuracy.Abstrak: Tingkat partisipasi angkatan kerja (TPAK) wanita menggambarkan persentase populasi wanita pada usia kerja yang terlibat dalam kegiatan ekonomi. Dalam kondisi ini, masalah yang sering muncul adalah TPAK wanita masih lebih rendah dari TPAK laki-laki, dan kesenjangan antara keduanya cukup jauh. Tujuan dari penelitian ini yaitu  untuk mengetahui faktor-faktor apa saja yang berpengaruh terhadap TPAK wanita di Provinsi Sumatera Utara. Metode yang digunakan adalah metode regresi probit biner. Data mengungkapkan bahwa 45,5% kabupaten/kota di Provinsi Sumatera Utara tergolong dalam kategori TPAK rendah. Hasil penelitian menunjukkan tingkat pendidikan (X1) dan sektor informal (X5) berpengaruh signifikan terhadap TPAK wanita dengan nilai ketepatan klasifikasi sebesar 93,9% menandakan model regresi probit biner yang digunakan mampu mengklasifikasikan data dengan tepat memiliki tingkat akurasi yang tinggi.
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.
SMART VILLAGE: PENERAPAN APLIKASI LAYANAN DESA DIGITAL DI KECAMATAN ARUT SELATAN Setyorini, Winarti; Cipta, Hendra
Semeru: Jurnal Pengabdian Kepada Masyarakat Volume 2 Nomor 1 Tahun 2025
Publisher : LPPM Universitas Bhayangkara Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55499/semeru.v2i1.1549

Abstract

This research aims to explore social and institutional dynamics in the implementation of digital village service applications as part of the Smart Village program in South Arut District, Central Kalimantan. The phenomenon studied focuses on the readiness of village apparatus, changes in administrative culture, community response, as well as local obstacles and adaptation in facing digital transformation. This study uses a qualitative approach of the case study type to understand the process, meaning, and experiences of the perpetrators in depth. Data were collected through semi-structured interviews with village officials, community leaders, and residents, participatory observation during training and implementation activities, and documentation from service archives and village reports. The results of the study identified four main themes, namely: (1) the readiness and challenges of village apparatus in technology adoption, (2) the transformation of administrative work culture from manual to digital systems, (3) diverse community responses and participation, and (4) technical barriers such as limited internet networks and locally developed collaborative solutions. These findings suggest that the success of the digitization of village services depends not only on technology, but also on local social, cultural, and institutional readiness. This research contributes to the development of literature on village digitalization, especially in non-urban areas, and presents practical implications for policymakers and implementers of Smart Village programs. The study also recommends the need for long-term mentoring and community-based approaches to ensure the sustainability of digital innovation at the village level.
Optimization of Tofu Raw Material Inventory Using the Dynamic Lot Sizing Method Ningsi, Ria Sagita; Cipta, Hendra
Daya Matematis: Jurnal Inovasi Pendidikan Matematika Vol 13, No 2 (2025): Juli
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/jdm.v13i2.74643

Abstract

The purpose of this study was to determine the lot size of tofu raw materials orders, the total cost of factory inventory before and after implementing inventory control using the Wagner-Within Algorithm technique on the Dynamic Lot Sizing method. With demand forecasting on the POM QM aplication consisting of Moving Average, Weighted Moving Average, and Exponential Smoothing. Based on the result obtained, the total lot size of tofu raw material orders without implementing inventory control of 15.800 kilos per year. The total cost is Rp. 189.656.040 and is more optimal when compared to the factory system, which is Rp. 208.256.040 so that the factory can save costs of Rp. 18.600.000.
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