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All Journal Teknika Lisanuna: Jurnal Ilmu Bahasa Arab dan Pembelajarannya Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal CoreIT Jurnal Penelitian Pendidikan IPA (JPPIPA) Hasil Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Techno Nusa Mandiri : Journal of Computing and Information Technology JOURNAL OF APPLIED INFORMATICS AND COMPUTING SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Malikussaleh Journal of Mathematics Learning (MJML) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Journal of Humanities and Social Studies JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Dedikasi Pendidikan Jurnal Pendidikan dan Konseling Jurnal Penelitian Pembelajaran Matematika Sekolah Mulia International Journal in Science and Technical Jurnal Ilmiah Kanderang Tingang At-Tarbawi : Jurnal Pendidikan, Sosial dan Kebudayaan Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) JINAV: Journal of Information and Visualization International Journal of Engineering, Science and Information Technology jeti Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen TRANSFORMASI : JURNAL PENGABDIAN PADA MASYARAKAT International Journal of Humanities Education and Social Sciences TECHSI - Jurnal Teknik Informatika JAMAIKA: Jurnal Abdi Masyarakat Jurnal Pendidikan Matematika Malikussaleh Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Estungkara: Jurnal Pengabdian Pendidikan Sejarah International Journal of Trends in Mathematics Education Research (IJTMER) Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) Jurnal Pendidikan Matematika Journal Of Artificial Intelligence And Software Engineering Journal of Advanced Computer Knowledge and Algorithms Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) International Journal of Community Service Implementation Jurnal Solusi Masyarakat Dikara Jurnal Elektro dan Teknologi Informasi INOVTEK Polbeng - Seri Informatika Jurnal Komtika (Komputasi dan Informatika) Journal of Industrial Engineering and Management Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) ITEJ (Information Technology Engineering Journals)
Fajriana, Fajriana
Universitas Malikussaleh
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Training on the Preparing of Learning Tools as an Adjustment to the Merdeka Curriculum for Junior High School Mathematics MGMP Teachers in Lhokseumawe City Fajriana; Fitri Ayu Ningtiyas; Nurul Afni Sinaga; Rifaatul Mahmuzah; Syahrina Intan; Puji Sabrini
International Journal of Community Service Implementation Vol. 1 No. 3 (2023): IJCSI DECEMBER 2023
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijcsi.v1i3.171

Abstract

Indonesian education has implemented various curricula that have undergone improvements with each change. Currently, there is an independent curriculum designed to provide opportunities for teachers to develop teaching materials by taking into account the character, interests and talents of students. The independent curriculum has begun to be implemented in Lhokseumawe city junior high schools, but in reality this implementation is not accompanied by socialization and training related to the preparing of learning tools. This results in the teaching and learning process that occurs not in accordance with the system intended by the independent curriculum. Teachers need assistance in order to prepare learning tools so that the objectives  of the independent curriculum can be achieved. One of the alternatives that can be done to overcome this problem is to conduct socialization and training in preparation of learning tools adapted to the independent curriculum for MGMP junior high School teachers in Lhokseumawe City. The purpose of this service is so that teachers, especially junior high school mathematics teachers in Lhokseumawe city who are members of MGMP, can prepare learning tools in accordance with the independent curriculum. The method used in this service is Participatory Rural Appraisal (PRA), where in this activity participants actively participate in the entire process carried out from the initial stage to the final stage. Overall, the stages of activities carried out in this service in the form of training in the preparation of independent curriculum learning tools consist of four stages, namely the planning stage, preparation stage, implementation stage, and evaluation stage. The results of this service are in the form of learning tool documents that are in accordance with the objectives contained in the independent curriculum and the satisfaction survey of training participants. Based on the results obtained from 57 respondentsit is known that the level of participant satisfaction with quality of the material presented was 90.35%.As for the aspect of the speaker, the level of satisfaction of the training participants obtained was 86.67%
Deteksi Ikan Segar Secara Realtime dengan YOLOv4 menggunakan Metode Convolutional Neural Network Gunawan, Chichi Rizka; Nurdin, Nurdin; Fajriana, Fajriana
Jurnal Komtika (Komputasi dan Informatika) Vol 7 No 1 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v7i1.8986

Abstract

Ikan merupakan komoditas mudah rusak yang memerlukan penanganan segera setelah dikeluarkan dari laut. Untuk ikan segar dapat dilihat jika tidak diberikan pengolahan khusus yang tepat, kualitas ikan akan menurun dengan hitungan jam. Setiap orang ingin membeli ikan yang halal, aman, sehat, dan berkualitas tinggi. Selain itu juga perlu mengetahui perbedaan ikan yang segar dan tidak segar, terkadang ada pedagang nakal, ikan yang tidak segar masih dijual. Sehingga produk menjadi tidak aman saat dikonsumsi dan dapat merugikan konsumen. Untuk mengetahui akurasi dan performansi algoritma pendeteksi kesegaran ikan di Yolov4 menggunakan metode convolutional neural network (CNN), penelitian ini membuat sistem pendeteksi ikan segar secara realtime. Seiring waktu, orang mengembangkan pengetahuan dan teknologi untuk mendukung dan memfasilitasi pekerjaan mereka. Penelitian ini menggunakan 118 data citra untuk pelatihan dan 13 data citra untuk pengujian, dengan pelatihan berlangsung selama 6000 epoch. Proses YOLOv4-CNN adalah hasil dari data yang telah dideteksi oleh YOLOv4 akan diklasifikasi modelnya oleh CNN dimana sebelumnya citra akan di resize sehingga seluruh data citra memiliki ukuran yang sama untuk memudahkan proses konvolusi, dilanjutkan dengan fungsi aktivasi, pooling layer, fully connected layer dan diakhiri dengan proses klasifikasi objek. Kemudian hasil klasifikasi akan diimplementasikan kembali pada YOLOv4 untuk mengetahui pendeteksian ikan segar telah terdeteksi dengan baik atau tidak. Hasil dari pendeteksian kesegaran ikan menggunakan algoritma YOLOv4-CNN dapat dinilai bekerja dengan baik. Pengujian sistem pada Yolov4-CNN memperoleh MAP sebesar 93.75%, dengan presisi 1.00%, recall 0.93%, f-Score 0.96% dan juga rata-rata nilai IoU sebesar 74.17%.
Pengenalan Pakaian Adat Aceh Berbasis Augmented Reality Menggunakan Metode Speed Up Robust Featured (SURF) gunawan, chicha rizka; Nurdin, Nurdin; Fajriana, Fajriana
Jurnal Komtika (Komputasi dan Informatika) Vol 7 No 2 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v7i2.9124

Abstract

Aceh Province, especially Langsa City, has a tourist attraction, namely the Langsa City Forest Park House (RTH). One of the most interesting rides in Langsa City Forest Park is Rumoh Aceh. Based on the results of visits and interviews by Rumoh Aceh officers, the large number of visitors from outside Aceh with one officer sometimes made it difficult for the officers to explain the information available about Rumoh Aceh, especially Acehnese traditional clothes, which were only displayed from a printed image, and provided no other information about these traditional clothes, so that many visitors did not know the diversity of designs and motifs of traditional clothes in Aceh. So, a medium was formed that could display Acehnese traditional clothing. The media uses augmented reality technology so that users can add virtual objects to the real environment to make it easier to use. This application uses the Speed Up Robust Featured (SURF) algorithm, which can process marker tracking quickly so that it can obtain better tracking speed times. The shortest distance from the marker to the camera that can show 3D objects is 20 cm, whereas the farthest distance that cannot show 3D objects is 100 cm. The best distance at which a marker can be detected is 20–80 cm. The best average detection time is 0.00049 s, and the average speed obtained is 1261.22 m/s at a distance of 60 cm. The Speed Up Robust Featured (SURF) algorithm can be used in the Augmented Reality-based Aceh Traditional Clothing Recognition application.
Single Tuition Fee Classification Using Light Gradient Boosting Machine with Confusion Matrix Analysis Khaidar, Al; Nurdin, Nurdin; Fajriana, Fajriana
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8479

Abstract

Uang Kuliah Tunggal merupakan sistem pembiayaan pendidikan tinggi yang ditetapkan berdasarkan kemampuan ekonomi mahasiswa. Penetapan UKT yang masih dilakukan secara manual berpotensi menimbulkan subjektivitas dan ketidaktepatan klasifikasi. Penelitian ini bertujuan untuk mengembangkan model klasifikasi UKT berbasis data menggunakan metode Light Gradient Boosting Machine (LightGBM). Dataset yang digunakan terdiri dari 10.000 data mahasiswa Politeknik Negeri Lhokseumawe yang telah melalui tahap prapemrosesan dan transformasi fitur. Model dilatih menggunakan pembagian data latih dan data uji sebesar 80:20, serta dievaluasi menggunakan metrik akurasi, classification report, confusion matrix, dan 10-Fold Cross Validation. Hasil pengujian menunjukkan bahwa model LightGBM mencapai akurasi sebesar 98% pada data uji. Pengujian 10-Fold Cross Validation menghasilkan rata-rata akurasi sebesar 99,21% dengan standar deviasi 0,29%, yang menunjukkan stabilitas dan kemampuan generalisasi yang sangat baik. Hasil ini membuktikan bahwa LightGBM efektif dan andal untuk mendukung penetapan UKT yang lebih objektif dan berbasis data.
Classification Analysis of Single Tuition Fees Using the Random Forest Method with K-Fold Cross Validation Khaidar, Al; Nurdin, Nurdin; Fajriana, Fajriana; Taufiq, Taufiq; Hamdhana, Defry
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11798

Abstract

Classification is the process of grouping data into specific categories based on their characteristics or features, which plays a crucial role in the analysis, decision-making, and prediction of new data. In academic settings, classification is used to determine the Single Tuition Fee to place students according to their economic ability. Lhokseumawe State Polytechnic has implemented the UKT system since 2020 with eight categories, but some students are still placed in UKT groups that do not match the results of the manual process, which has limited accuracy. This study uses the Random Forest method as a technology-based solution to improve the accuracy and objectivity of UKT classification. The dataset used consists of 10,000 student data with 10 variables, covering economic and social information. The research process includes data preprocessing, Random Forest model training, performance evaluation using accuracy, precision, recall, and F1-score, and model stability testing through 10-fold K-Fold Cross Validation. The results show that Random Forest is able to classify most UKT classes well, especially classes 0–5 and 7. Class 6 has lower performance with a recall of 0.39 and an F1-score of 0.56 due to the limited number of samples. The overall accuracy of the model reaches 96%, while K-Fold Cross Validation produces an average accuracy of 95.50% with a standard deviation of 0.66%, indicating the model is stable and able to generalize to new data. This study proves that Random Forest is effective in UKT classification, producing an objective, fair, and efficient system. This implementation model supports data-driven decision-making in higher education and increases transparency in UKT determination.
Analisis Perbandingan Kinerja Algoritma You Only Look Once (YOLOv8) Dan Single Shot Detector (SSD) dalam Pengenalan Nominal Uang Kertas Ulfah, Julia; Ula, Munirul; Fajriana, Fajriana; Nurdin, Nurdin
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.7471

Abstract

The advancement of technology in the field of image recognition has significantly facilitated and improved the effectiveness of object detection in computer-based banknote recognition systems. This study aims to automatically identify banknotes based on their denominations, with the objective of minimizing human errors—such as lack of concentration, fatigue, and other factors—and enabling its application in ATMs and automated payment systems. This research compares the accuracy levels and detection success rates between the YOLO and SSD algorithms in recognizing the denominations of banknotes. The YOLO model operates by dividing the image into grids and predicting bounding boxes along with object classes in a single step, resulting in fast and consistent detection. In contrast, the SSD model employs a multi-scale approach by utilizing feature maps from multiple levels to generate predictions. The parameters used in this study include 7 classes of Indonesian banknotes: Rp1,000, Rp2,000, Rp5,000, Rp10,000, Rp20,000, Rp50,000, and Rp100,000. A total of 353 images were used in the dataset, and three images from each class were selected for testing purposes. The results of the study indicate a significant performance difference. The YOLO algorithm achieved a 100% accuracy rate under both normal and low-light conditions, while the SSD algorithm achieved an accuracy rate of 87.2% under normal lighting and 91.4% under low-light conditions.
Education of National Values and Local Wisdom in Junior High Schools Teuku Alfiady; Siraj; Fajriana
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

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

Abstract

The aim of this research is focused on efforts to produce an overview of the potential and implementation of national values and local wisdom that will be integrated into the learning process. The initial field analysis reveals a gap between expectations and reality regarding the implementation of Aceh Qanun Number 11 of 2014, resulting in the integrated education system in Lhokseumawe City not being fully realized. The type of research used is descriptive qualitative research. This research was conducted at Junior High School in Lhokseumawe. The subjects of this study were teachers, students, and parents, while the object of the research was the implementation of national values and local wisdom to be integrated into the learning process. The data analysis technique used is the interactive: data reduction, data presentation, and conclusion drawing. The research findings indicate that the integration of national values and local wisdom in teaching leads to the development of students' character through habituation patterns and the creation of a conducive school environment. This process shapes students' attitudes and behaviors, resulting in students who possess academic abilities, skills, and noble character, all of which are beneficial to religion, the nation, and the state.
Learning Media Application for Basic Digital Courses Using Augmented Reality with the Marker Based Tracking (MBT) Method Syamsul Buchori Pane; Eva Darnila; Fajriana Fajriana
ITEJ (Information Technology Engineering Journals) Vol. 10 No. 2 (2025): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.263

Abstract

The rapid development of digital technology opens up opportunities to increase the effectiveness of learning media, one of which is by utilizing Augmented Reality (AR) technology. This study aims to develop an AR-based digital basic course learning media application with the marker-based tracking method. The materials presented include number systems, logic gates, boolean algebra, Karnaugh maps, and flip-flops. The development process is carried out through a waterfall approach which includes literature studies, needs analysis, system design, implementation, and testing. The results of the study show that the developed application is able to display 3D objects interactively and in real-time through features such as rotation, zoom, and audio, so as to improve students' understanding and interest in learning. The application of AR technology has proven to be an innovative and effective medium in conveying abstract concepts in digital learning.
Effectiveness of the Inquiry Based Learning Model Based on Mobile Learning on Students' Creative Thinking Skills: A Meta-Analysis Suyatmo Suyatmo; Via Yustitia; Tomi Apra Santosa; Fajriana Fajriana; Unan Yusmaniar Oktiawati
Jurnal Penelitian Pendidikan IPA Vol 9 No 9 (2023): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i9.5184

Abstract

This study aims to determine the effect of the inquiry-based learning model based on Mobile Learning on Students' Creative Thinking Skills. This type of research is quantitative research with meta-analysis methods. The data source comes from analysis of national and international journals. The process of searching for data sources through the Google Scholar, ERIC, DOAJ, Wiley, Taylor of Francis and Plos ONE databases. Inclusion criteria are data sources from national and international journals indexed by SINTA; Scopus, WOS, DOAJ and EBSCO, Research must be related to inquiry models, mobile learning and critical thinking skills, Journals must be published in 2017-2023 and have a value (r), (t), or F N ≥ 25. Research results of 18 studies explains that the inquiry-based learning model based on mobile learning has a significant effect on students' creative thinking skills (z = 6.713; p < 0.001; CI 95% (0.784; 1.206). The effect size in this study is high criteria (rRE = 0.885). These findings show the application of mobile learning-based inquiry learning models has a major effect on students' creative thinking skills.
Firewall Analytics in DNS and SYN Flood Protection on Mikrotik CCR in the North Aceh District Government Nanda Imanda; Dahlan Abdullah; Fajriana Fajriana; Nurdin Nurdin; Munirul Ula
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1791

Abstract

This study investigates the implementation of an analytical firewall on the Mikrotik Cloud Core Router (CCR) device for network protection against Domain Name System (DNS) and Synchronise Flood (SYN Flood attacks in the information technology infrastructure of the North Aceh Regency Government. DNS-based attacks and SYN Flood have demonstrated a significant disruptive capacity for the continuity of electronic public services, illustrating the urgency of robust security protocols on government infrastructure. The study implemented a quantitative-experimental approach, with methodological triangulation in empirical data acquisition through controlled attack simulations, firewall log analysis, and semi-structured interviews with technical personnel. Experiments are designed with variations in attack intensity to evaluate system resilience thresholds, while firewall log analysis facilitates the identification of anomalous patterns through detection algorithms. The analytics process applies parametric evaluation to temporal mitigation metrics, packet processing capacity, and operational implications on network performance, complemented by descriptive statistical analysis that explores data distribution and temporal trends. The results indicate the differential effectiveness of the specific firewall configuration against a specific attack typology, with an empirical determination of optimisation parameters for real-time mitigation. This research contributes to the corpus of knowledge regarding the security of government networks through the derivation of protective models that are adaptive to the operational characteristics of public infrastructure. The findings have substantive implications for cybersecurity policy formulation in the administrative context of local governments, with extensive significance for the implementation of network architectures that are resilient to volumetric attacks and protocol exploitation.
Co-Authors A Halim Abubakar Dabet Ahmad Fahrudin Ahmad Fajrul Amin Aklimawati Aklimawati Aklimawati Aklimawati, Aklimawati Alawiyah, Mufidah Alfry Aristo Jansen Sinlae Alifa, Suci Amalia, Nova Amalia, Wildi Aminuyati Andri Kurniawan Anni Zulfia Ariani, Dini Aris Munandar Aryandi, Aryandi Aryandi, Aryandi Asrianda Asrianda Asrillah Asrillah Atikah Fitriani Atta Illah Aulia, Riva Aynun, Nur Ayu Ningtiyas, Fitri Ayu Rahmi Azhar Syahputra Azhari Azhari Azlika, Lulu Baso Intang Sappaile, Baso Intang Bima Sadewa Bustami Bustami Chicha Rizka Gunawan Dabet, Abubakar Dahlan Abdullah Darmansyah, Arif Deassy Siska Dessy Putri Wahyuningtyas Dwi Harsya Ramadhan Veirrel Ermatita - Ermatita Ermatita Ermatita Ermatita Eva Darnila Fachrur Rozi Fadlisyah Fadlisyah Fadlisyah Fakhrah Febrianti, Fadila Fibry Widianti Firman Aziz Fitri Ayu Ningtiyas Fitri Ayu Ningtiyas, Fitri Ayu Fuadi, Wahyu Gavinda, Virza gunawan, chicha rizka Gunawan, Chichi Rizka Halimatus Sakdiah Hamdhana, Defry Hayatun Nufus Hayatun Nufus Hendra Sudarso Henni Fitriani Herizal Herizal Hidayatsyah Hidayatsyah I Gede Iwan Sudipa Imanda, Riska Isfayani, Erna Iwan Adicandra Iwan Pahendra Izza, Nurul Jannah S, Rauzatul Jimmy H Moedjahedy Jumita Sari Khaidar, Al Khairunnisa Khairunnisa Khairunnisa Khairunnisa Kiki Puspo Arianty Laksono Trisnantoro Listiana, Yeni Lolia Lusiana Rahayu Luthfiah, Moulana M Mursalin M.nasir, Safinatun Najar Maha, Dedi Torang P Mahera, Ulfa Mardhatillah, Mona Marhami, Marhami Marwan Marwan Maryana Maryana Maryana Maryana Maryana Maryana, Maryana Maulida, Maulida Mona Mardhatillah Muhammad Alfath Frandhana Sihotang Muhammad Chairil Abnu Muhammad Faisal Muhammad Fikry Muhammad Muhammad Muhammad Muhammad Muhammad Sadli Muhammad Sadli Muhammad Sadli, Muhammad Muhammad, Iryana Mukti Qamal Mukti Qamal Muliana, Muliana Muliana, Muliana Muliani, Eva Munawarah Munawarah, Munawarah Munirul Ula Munirul Ula Mursalin . Mutammimul Ula Muthmainnah Muthmainnah Muthmainnah Muthmainnah Mutia Fonna Nanda Imanda Nanda Novita Nasrah, Sayni Nasrah, Sayni Nazira Nazira NinaUlfauza Niswatul Khaira Novia Hasdyna Novilia Junianti Saragih Nur Elisyah Nurahma, Syahfitri Nuraina, Nuraina Nurdin Nurdin Nurdin Nurdin Nurdin Nurul Afni Sinaga NURUL HAYATI Nurzannah Nurzannah Nurzannah, Nurzannah Nusantara, Badai Charamsar Pane, Syamsul Buchori Pasaribu, Jaza Anil Husna Puji Sabrini Qusaiyen, Qusaiyen Rahayu, Lolia Lusiana Rahmawati M Rahmawati M, Rahmawati Rasyada, Reza Dian Ratna Unaida, Ratna Retno Ayu Trisnawati Richki Hardi Rifaatul Mahmuzah Riri Syafitri Lubis Rizal Rizal Rizki Akmalia Rizki Minta Maito Rizkiana Akmalia Robbi Rahim Rofi’i, Agus Rohantizani Rohantizani Rohantizani, Rohantizani Rozzi Kesuma Dinata Safriana Safriana Safwandi Safwandi Safwandi Safwandi, Safwandi Salama, Umi Samsinar Samsinar Sirait, Nur Al Fira Siraj Siraj Siraj Siraj Siregar, M. Ali Akbar Sri Setyawati Suryati Suryati Suyatmo Suyatmo Suzana, Yenny Syahputra, Azhar Syahrina Intan Syamsul Bahri Syamsul Buchori Pane Syarah, Fatmah Syarifah Rita Zahara Taufiq Taufiq Teuku Alfiady Tjut Adek, Rizal Tomi Apra Santosa Ulfah, Julia Ulvityatni Umaiya, Fazilah Unan Yusmaniar Oktiawati Wahyu Fuadi Wahyu Fuadi Wahyu Fuadi Wulandari Wulandari Wulandari Wulandari Yenny Suzana Yulia Zahara Yulidayanti - Yulidayanti Yundari, Yundari Zahratul Fitri Zaman, Qamaruz Zara Yunizar Zikratul Maulana Zulfa Zulfa Zuraida Zuraida Zurra Yusally Aufa