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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI CAUCHY: Jurnal Matematika Murni dan Aplikasi Kubik JURNAL PENGABDIAN KEPADA MASYARAKAT Edumatsains ZERO : Jurnal Sains, Matematika dan Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika Desimal: Jurnal Matematika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Justek : Jurnal Sains Dan Teknologi JTAM (Jurnal Teori dan Aplikasi Matematika) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Zero : Jurnal Sains, Matematika, dan Terapan JISTech (Journal of Islamic Science and Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika MES: Journal of Mathematics Education and Science Jurnal Varian JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Jatilima : Jurnal Multimedia Dan Teknologi Informasi Mandalika Mathematics and Educations Journal G-Tech : Jurnal Teknologi Terapan Range : Jurnal Pendidikan Matematika Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Journal of Computer Networks, Architecture and High Performance Computing KUBIK: Jurnal Publikasi Ilmiah Matematika Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Journal of Information Technology (JIfoTech) Leibniz: Jurnal Matematika Jurnal Info Sains : Informatika dan Sains INTERNATIONAL JOURNAL OF CULTURAL AND SOCIAL SCIENCE Journal of Mathematics and Scientific Computing With Applications Journal of Community Development and Disaster Management Jurnal Pijar MIPA Journal of Comprehensive Science Journal of Computers and Digital Business Abdimas Indonesian Journal Journal of Innovation and Sustainable Empowerment Journal of Analytical Research, Statistics and Computation Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Bersatu: Jurnal Pendidikan Bhinneka Tunggal Ika Jurnal Pengabdian Masyarakat MAXIMAL Jurnal Akuntansi Hukum dan Edukasi
Ismail Husein, Ismail
Department Of Mathematics, Universitas Islam Negeri Sumatera Utara Medan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management 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 Physics Social Sciences Transportation Other

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Criteria for Publishing in Reputable International Journals: An Analytical Hierarchy Process Decision Model Ismail Husein; Achyar Zein; Ulrich Faigle
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 1 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i1.30903

Abstract

The problem faced by researchers, in this case lecturers at universities, after carrying out research and making research reports is deciding where to publish the results of their research. Analytic Hierarchy Process is an effective method for ranking alternative journals. This helps ensure that their research is published in a reputable journal that will reach the appropriate audience and have a positive impact on their career. The data collection method in this research was first sourced from books, the internet, and previously a study of articles and journals; secondly, create a checklist of criteria and sub-criteria from 20 (twenty) articles, namely 4 articles from Elsevier, 4 articles from Springer Nature, 4 articles from Taylor Francis, 4 articles from Wiley-Blackwell, and 4 articles from Sage. Article selection was carried out randomly. The results of distributing questionnaires were analyzed using the Analytic Hierarchy Process Online System designed by Klaus D. Goepel. The main aim of this study was to determine the appropriate weighting of several criteria that explain why previously published manuscripts are submitted to their intended publication. The criteria for accepting article manuscripts in reputable international journals using the Analytical Hierarchy Process model (standard Analytic Hierarchy Process linear scale methods) is that the first priority is the "novelty" criterion with a weight of 0.502. The second priority is the "scientific" criterion with a weight of 0.201. Furthermore, the third and fourth priorities are "manuscript" and "content" respectively with weights of 0.142 and 0.078. Meanwhile, the last priority is "Interesting" with a weight of 0.076.
Optimization of LPG Distribution Using the Saving Matrix and Nearest Neighbor Methods Fairuz Naila Qosammah; Ismail Husein
Journal of Computers and Digital Business Vol. 5 No. 2 (2026)
Publisher : PT. Delitekno Media Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v5i2.1010

Abstract

The distribution of 3 kg LPG cylinders at UD. Tri Surya Efendi is currently conducted conventionally, without structured route planning, leading to fuel wastage, longer travel distances, and high operational costs. This research aims to determine the optimal distribution route by applying the Saving Matrix and Nearest Neighbor methods for 26 regular customers in the Helvetia–Marelan area with a total daily demand of 100 cylinders. Prior to optimization, customers were segmented into three geographic zones, and the distances between the depot and customer locations were obtained using Google Maps. The Saving Matrix method produced three routes spanning 28.06 km at a daily cost of Rp14,300, reducing operational costs by 64.25% compared to the initial Rp40,000. The Nearest Neighbor method produced four routes spanning 30.26 km at Rp15,130, reducing costs by 62.18%. The results show that the Saving Matrix method is more efficient in minimizing travel distance and distribution costs. This study contributes an empirical comparison of both methods in the context of small-scale LPG distribution with prior geographic zone segmentation, a procedure rarely documented in existing literature, and offers a practical reference for improving local distribution efficiency.
Comparison of K-Means and K-Median Algorithms for Clustering Poverty Indicator Data in North Sumatra Province Hasibuan, Mey Rani; M.Si, Ismail Husein
Desimal: Jurnal Matematika Vol. 9 No. 2 (2026): Desimal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/desimal.v9i2.32704

Abstract

Poverty in North Sumatra exhibits considerable spatial heterogeneity, yet comparative evidence on the performance of clustering algorithms for identifying multidimensional regional poverty patterns remains limited. This study aimed to compare K-Means and K-Median in clustering 33 regencies and municipalities using five poverty-related indicators averaged over 2022–2025: percentage of poor population, poverty line, poverty gap index, poverty severity index, and adjusted per capita expenditure. A quantitative descriptive-comparative design was applied using secondary data from the Central Statistics Agency of North Sumatra Province. All variables were transformed through Min–Max normalization, the Elbow Method was used to determine the optimal number of clusters, and clustering performance was evaluated using the Silhouette Coefficient. The analysis identified three clusters for both algorithms. K-Means produced cluster sizes of 28, 2, and 3 regions, whereas K-Median generated 21, 2, and 10 regions. A notable finding was that both methods consistently placed South Nias and North Nias in the same distinct cluster, characterized by comparatively high poverty gap and poverty severity values and low adjusted per capita expenditure. K-Means achieved a higher Silhouette Coefficient than K-Median, with values of 0.2953 and 0.1515, respectively, indicating comparatively better overall clustering performance. These findings show that algorithm selection influences both cluster structure and the substantive interpretation of multidimensional poverty patterns. The study provides empirical support for targeted and context-sensitive regional poverty alleviation policies across the diverse administrative areas of North Sumatra.
Application of the Clarke and Wright Savings Algorithm to Solve the Vehicle Routing Problem in Optimizing Chip Distribution Apri Yani Sitompul; Ismail Husein
KUBIK Vol 10 No 1 (2025): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Department of Mathematics, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v10i1.49162

Abstract

Efficiency in the distribution process is crucial for companies to reduce operational costs while maintaining service satisfaction. This research aims to optimize the product delivery route for the Keripik Cinta Mas Hendro business by applying the Clarke and Wright Savings algorithm approach to solve the Vehicle Routing Problem (VRP). This method works by calculating the distance savings from combining distribution points, then constructing optimal routes based on the order of highest savings while still considering vehicle capacity. The data used consists of customer coordinates, which are processed into distances between locations using the Euclidean formula. The results show that the distribution route, which was initially divided into three lanes with a total length of 403.54 km, can be simplified into two lanes with a total length of 272 km. This study proves that the Clarke and Wright Savings algorithm is able to provide a more cost-effective distribution solution. Keywords: Distribution, Optimization, Chips, VRP, Clarke and Wright SavingsMSC2020:  90B06, 68W40, 90C59 Abstrak Efisiensi dalam proses distribusi sangat penting bagi perusahaan agar dapat menekan biaya operasional sekaligus menjaga kepuasan pelayan. Penelitian ini bertujuan untuk mengoptimalkan jalur pengiriman produk keripik pada usaha Keripik Cinta Mas Hendro dengan menerapkan pendekatan algoritma Clarke and Wright Savings dalam menyelesaikan permasalahan Vehicle Routing Problem (VRP). Metode ini bekerja dengan menghitung nilai penghematan jarak dari penggabungan titik-titik distribusi, lalu menyusun rute optimal berdasarkan urutan penghematan tertinggi yang tetap memperhatikan kapasitas kendaraan. Data yang digunakan berupa koordinat pelanggan yang diolah menjadi jarak antar lokasi menggunakan rumus euclidean. Hasil menunjukkan bahwa rute distribusi yang semula terbagi tiga jalur dengan total 403,54 km dapat disederhanakan menjadi dua jalur dengan total 272 km. Penelitian ini membuktikan bahwa algoritma Clarke and Wright Savings mampu memberikan solusi distribusi yang lebih hemat. Kata kunci: Distribusi, Optimasi, Keripik, VRP, Clarke and Wright Savings MSC2020:  90B06, 68W40, 90C59  
Penerapan Data Mining untuk Mengestimasi Laju Pertumbuhan Penduduk Kabupaten Serdang Bedagai Menggunakan Metode Regresi Linear Berganda Azizah Wulan Lestari; Lisa Salsabila Sinaga; Juwita Samroiyah Pulungan; Ulifia Cahaya Hasibuan; Ismail Husein
Maksimal Jurnal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol 3 No 4 (2026): April
Publisher : Maximal Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya dan Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pertumbuhan penduduk merupakan indikator penting dalam perencanaan pembangunan daerah. Penelitian ini bertujuan untuk mengestimasi laju pertumbuhan penduduk Kabupaten Serdang Bedagai dengan menerapkan teknik data mining menggunakan metode Regresi Linear Berganda. Data yang digunakan diperoleh dari Badan Pusat Statistik (BPS) Kabupaten Serdang Bedagai selama periode 2019-2023, yang mencakup jumlah penduduk laki- laki dan perempuan. Melalui tahapan pengumpulan, praproses, dan analisis data, diperoleh model regresi dengan persamaan Y = 0 + 1,5558X1 + 0,4367 X2, di mana Y adalah total penduduk, X1 jumlah laki-laki, dan X2 jumlah perempuan. Hasil penelitian menunjukkan estimasi jumlah penduduk pada tahun 2024 mencapai 683.056 jiwa, yang berarti terdapat peningkatan dibandingkan tahun sebelumnya. Model ini menunjukkan bahwa metode regresi linear berganda mampu memberikan hasil estimasi yang akurat dan dapat dijadikan acuan dalam perencanaan pembangunan berbasis data.
Pemberdayaan Ekonomi Rumah Tangga melalui Pemanfaatan Apotek Hidup sebagai Upaya Penghematan dan Ketahanan Kesehatan Masyarakat Desa Bangun Purba Edi Suranta Ginting; Ismail Husein
Abdimas Indonesian Journal Vol. 6 No. 1 (2026)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.1391

Abstract

This community service program, conducted through the Community Service Program (KKN), aims to support household economic empowerment and community health resilience in Bangun Purba Village through the creation of a living pharmacy. A living pharmacy is the use of land for the cultivation of family medicinal plants that can be used as an alternative to simple treatments and for health promotion and prevention. The program begins with coordination and obtaining permits from the village government, followed by land provision, site preparation, and the planting of family medicinal plants by KKN students. As a form of indirect education, information media is provided in the form of brochures containing the names and benefits of medicinal plants that are laminated and attached directly to each plant. The results of the program implementation indicate that the living pharmacy has the potential to provide benefits to the community, both in terms of health and household economics, particularly in reducing dependence on modern medicines for minor health needs. In addition, the existence of information media on medicinal plants supports the independent and sustainable increase in community knowledge. However, this program faces several challenges, such as limited time for KKN implementation and the sustainability of plant care. Overall, the creation of a living pharmacy is a form of community service that is applicable and relevant to the village's needs.
Modeling the Number of Poor Population using Geographically Weighted Negative Binomial Regression (GWNBR) in North Sumatera Province Juliani Juliani; Ismail Husein
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 9 No. 2 (2026): Exploring Mathematics through Education, Modeling, Finance, and Cultural Perspe
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v9i2.9583

Abstract

Poverty remains a persistent and unevenly distributed development challenge across North Sumatra Province, so models capable of capturing this regional variation are urgently needed to support more precisely targeted poverty alleviation policies. This study develops a model for the number of poor people in 33 regencies/cities of North Sumatra Province in 2025 using Geographically Weighted Negative Binomial Regression (GWNBR). The response variable is the number of poor people (Y), while the explanatory variables are the Open Unemployment Rate (X1), Human Development Index (X2), Senior High School Education Level (X3), Labor Force Participation Rate (X4), and the percentage of households with access to proper sanitation (X5). The analysis consists of Poisson regression, Negative Binomial regression, Moran's I testing for spatial autocorrelation, the Breusch–Pagan test for spatial heterogeneity, and GWNBR using an Adaptive Bisquare weighting function. The Poisson model shows severe overdispersion, with a deviance-to-degrees-of-freedom ratio of 3,820.53. Moran's I indicates no significant spatial autocorrelation in the residuals (I = -0.0202; p = 0.1180), whereas the Breusch–Pagan test confirms significant spatial heterogeneity (BP = 15.7949; p = 0.0075). The GWNBR model produces a deviation of 18.420 and McFadden's R² of 0.150000 and captures differences in the effects of explanatory variables across locations. Based on significant local parameters, the study area is divided into two groups. Group 1 consists of Mandailing Natal Regency and South Nias Regency, with X1, X2, and X3 being significant, while Group 2 consists of the other 31 regencies/cities, with X2 and X3 being significant. These findings indicate that GWNBR can describe poverty-related factors locally and provide information relevant to location-specific poverty reduction policies. The results are expected to help local governments design region-specific poverty alleviation programs rather than relying on uniform province-wide policies, and it is recommended that future studies incorporate additional socioeconomic variables and more recent panel data to further improve the model's accuracy and policy relevance.
PENERAPAN METODE MAUT DENGAN PEMBOBOTAN ROC DALAM PENENTUAN MAHASISWA PENERIMA BEASISWA UPZ DI FAKULTAS SAINS DAN TEKNOLOGI UIN SUMATERA UTARA MEDAN Marwan Marwan; Ismail Husein; Rima Aprilia
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 7 No. 3 (2024): August 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i3.2142

Abstract

Beasiswa UPZ merupakan beasiswa yang bersumber dari lembaga amil zakat yaitu Lembaga Unit Pengumpul Zakat (UPZ) UIN Sumatera Utara Medan. Karena keterbatasan dana, maka diperlukan proses seleksi untuk menentukan mahasiswa penerima beasiswa. Tujuan dari penelitian ini adalah untuk menentukan mahasiswa yang berhak mendapatkan beasiswa menggunakan metode Rank Order Centroid (ROC) dan Multi Attribute Utility Theory (MAUT). Dengan menggunakan metode ROC-MAUT, diperoleh penerima beasiswa yang sesuai dengan kriteria-kriteria yang telah ditetapkan. Berdasarkan hasil pengujian, tingkat akurasi yang dicapai adalah 96%. Hasil penelitian ini menunjukkan bahwa metode ROC-MAUT dapat membantu tim penyeleksi beasiswa dalam menentukan penerima yang layak dengan proses yang cepat, efisien dan objektif.
Integrating Principal Component Analysis and Random Forest for Classifying University Students' Transportation Mode Choice in Medan, Indonesia Nurul Hanifa Lubis; Ismail Husein
Journal of Computers and Digital Business Vol. 5 No. 3 (2026): Articles in Press
Publisher : PT. Delitekno Media Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v5i3.1053

Abstract

Urban traffic congestion in Indonesian cities is closely linked to student commuting, yet the behavioral factors underlying mode choice are numerous and strongly correlated, which limits conventional classification models. This study integrates Principal Component Analysis (PCA) with a Random Forest (RF) classifier to predict transportation mode choice among university students in Medan, Indonesia. Data were obtained from 1,177 valid questionnaire responses covering 39 items, which were aggregated into eight behavioral constructs; seven were retained after sampling-adequacy screening. Applying the Kaiser criterion, two principal components were extracted, jointly explaining 70.42% of the total variance, and used as predictors of six transportation modes. The RF model attained 66.09% accuracy and a Cohen's Kappa of 0.5714, indicating moderate agreement between predicted and observed choices. Performance differed markedly across modes, from an F1-score of 82.37% for Mini Bus to 17.65% for Online Car Transportation, which was frequently misclassified as Online Motorcycle Transportation. The findings indicate that a compact two-component representation retains substantial behavioral information while yielding moderate predictive performance, and that mode-specific data enrichment is needed before such models can inform campus transportation planning.
Comparative Analysis of Classical and Time-Varying Lee–Carter Models for Mortality Forecasting in Indonesia and Japan Syipa Arista Widya; Ismail Husein
ZERO: Jurnal Sains, Matematika dan Terapan Vol 10, No 2 (2026): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v10i2.31283

Abstract

Reliable mortality forecasting is essential for demographic planning and actuarial decision-making. This study compared the forecasting performance of the Classical and Time-Varying Lee–Carter models using World Population Prospects (WPP) 2024 mortality data for Indonesia and Japan (1970–2023). Both models were estimated using 1970–2015 data and evaluated on 2016–2023 through out-of-sample validation based on MAE, RMSE, and MAPE. For Indonesia, the Time-Varying model yielded a slightly lower MAPE (7.262%) than the Classical model (8.086%), whereas the Classical model produced slightly lower forecasting errors for Japan. Overall, the differences between the models were modest. The findings suggest that, in this study, forecasting performance was associated more closely with population-specific mortality characteristics than with model complexity alone.
Co-Authors Abdi, Hamdan Achyar Zein Achyar Zein, Achyar Adella Aulia Mukti Adrya, M Rifqi Agusmanto J.B. Hutauruk Al Rizky, Muhammad Furqan Anandara, Aurelia Andayani Andini, Qonita Putri Anggi Nurmala Anggraini, Arizka Anggreini, Yopie Puspita Apri Yani Sitompul Arianti, Mei Yunina Arya Impun Diapari Lubis Astuti, Widya Tantri atika nadila Aulia, Nurissa Ayunda, Afrila Azizah Wulan Lestari Azizah Wulan Lestari Azura, Maudya Nur Azura, Silva Batubara, Nuriman Astuti Br Pohan, Dian Cinta Hasmi Cindy Artika Dalimunthe, Riska Aulia Dedy Juliandri Panjaitan Dewi, Ratna Sri Dewi, taslima Dinda Chairani Ditta Arsyilviasari Dur, Sajaratud Dur, Sajaratud Dur, Sajaratud Dur, Sajaratud Dwi Anggraini Dwi Lestari, Riani Edi Suranta Ginting Efriliya Hafni Yuswinda Elis, Elis Citra Eliza, Novi Ety Jumiati Eva Yuliani Fadhillah, Nurul Faigle, Ulrich Fairuz Naila Qosammah Fatharani Syahfitri Febrianti, Zelika Febriyanti, Chairina Fransiska, Sintia Frischa, Ledya Hanifah Dara Puspita Hanum, Syarifah Harahap, M. Rivan Febriansyah Harahap, Tramilta Salsabila Hashem Beg, Abul Hasibuan, Hani Maulida Hasibuan, Mey Rani Hendra Cipta Heni Pujiastuti Hidayah, Mega Nur Hsb, Sumawiyah Hutauruk, Agusmanto Ika Thrisna Wahyu Dianti Ikhsan, Ramadhani Al Ilka Zufria Indah Hatika Lubis Indra Jaya Indra Jaya Intan Irfanilia Jihan Adelia Nasution Juliana Juliana Juliani Juliani Junita Fadilah Jusmita Weriza Juwita Samroiyah Pulungan Juwita Samroiyah Pulungan Karadeniz, Ahmet Serdar Karadeniz, Mehmet Fatih Khairan marzuki Khairina Khairina, Khairina Khairul Purqon Khairun Nikmah Khairun Nisa Khoiriah Syahfitri Klause Roder Lingga, Eva Ridya Wanti Lisa Salsabila Sinaga Lisa Salsabila Sinaga Lubis, Arya Impun Diapari M Fakhariza M. Abdul Rizki Marwan Marwan Maya Sari Maysarah, Maysarah Melinda Aprianingsih Mhd Ikhsan Rifki Mhd. Joni Marpaung Mingka, Muhammad Farhan Mutiara Amanda Nafila Zendhia Ulhaq Nasution, Hamidah Nasution, Hamidah Nasution, Hamidah . Nasution, Yanisa Noranizamardia Noranizamardia Novianti Novyra Tedi Natasya Nuhrul Huda, Ella Nur Aisyah Nur Atsilah Hasibuan Nur Fitriani Nur Hafizah Nur Sofiah Nuraini Ade Putri Lubis Nurul Hanifa Lubis Nurul Huda Prasetya Nurul Khoiriah Hasibuan Ong, Aldi Maulana Pane, Maahfuzha Pane, Mahfuzha Panjaitan, Adelia Nopiazinda Br Panjaitan, Rio Anggara Pasaribu, Sarif Muda Pasya, Aulia Mumtazah Pratidina, Maulia Puan Salwa Afifah Putri Harahap, Riska Evita Putri Nilam Sari Rahayu, Atika Rahma Aulia Rahma Utami Rahmadani, Artika Rahmat Hutapea Rakhmawati, Fibri Razvan Serban Riezky Meiliza Rima Aprilia Rima Aprilia Rima Aprilia Rima Aprilia Rina Filia Sari Rina Filia Sari Rina Filia Sari Rina Filia Sari, Rina Filia Rina Widya Sari Rina Widyasari Rina Widyasari Rina Widyasari Rina Widyasari Rina Widyasari Riningsih, Novia Rinjani, Nazwa Riri Syafitri Lubis Ritonga, Muhammad Iqbal Rizka Ramadani Sam Rizky, Fadhlan Roshihan Mawazzi Lubis RR. Ella Evrita Hestiandari Sabrina, Ladia Sabrina, Ladia Sajaratud Dur Sajaratud Dur Sajaratud Dur Sajaratud Dur, Sajaratud Saputri, Ika Junia Saragih, Dewi Kentri Sari, Dinda Permata Sari, Linda Kumala Sari, Rina Filia Sari, Rina Widya Seprina, Dita Serban, Razvan Shedriko, Shedriko Siahaan, Maharani Putri Adam sihombing, dame ifa Sihombing, Dame Ifa Sinaga, Husnia Amro Br Sirait, Nurul Yusro Siregar, Machrani Adi Putri Siregar, R. Maisaroh Rezyekiyah Siti Aisyah Sitompul, Apri Yani Sri Ulfa Rahayu Suci Rachmadini, Haliza Syafitriani Syari, Isma Aulia Zamaakh Syipa Arista Widya Tamimi, Allifiyani Tri Kartika Chaniago Trima Lestari Uci Kirani Rambe Ulifia Cahaya Hasibuan Ulifia Cahaya Hasibuan Ulrich Faigle Umami, Fauzah Weber, Gerhard Wilhelm Widyasar, Rina Widyasar, Rina Widyasari, Rina Widyasari, Rina Widyasari, Rina Wulandari, Hamidah Yumna, Yaumi Yusra Habibah Laily