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All Journal Teknika Lisanuna: Jurnal Ilmu Bahasa Arab dan Pembelajarannya Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnas Nasional Teknologi dan Sistem Informasi CESS (Journal of Computer Engineering, System and Science) ITEj (Information Technology Engineering Journals) Sistemasi: Jurnal Sistem Informasi 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 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)
Fajriana, Fajriana
Universitas Malikussaleh
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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.
Comparative Analysis of Network Quality Using QOS Parameters on Mikrotik Routers Using the Queue Tree and Simple Queue Methods Zulfia, Anni; Abdullah, Dahlan; Fajriana, Fajriana
Journal of Industrial Engineering and Management Vol 1, No 1 (2023)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/jaiem.v1i1.12

Abstract

The research was conducted by researchers at Trienggadeng State Vocational School located on Jl Banda Aceh-Medan KM 152, Kec. Trienggadeng Regency. Pidie Jaya. This research is based on the importance of the network in the ongoing teaching and learning process in the network and computer labs, the network in the lab is currently not managed properly and the distribution of bandwidth is not evenly distributed. To get a good internet connection, it is necessary to distribute bandwidth evenly, which can be done using a proxy router. One of the features for distributing bandwidth evenly in the proxy router can be applied using the simple queue and queue tree methods, knowing network quality can be done using Quality of Service (QoS) measurements. This study aims to determine the analysis of network quality using Qos on proxy routers using the simple queue and queue tree methods. The method used in this study is to use the action research method (action research), the stages of the research are analyzing, data collection, data completeness, making network designs, and taking action. The results obtained for network analysis in a comparative study between simple queue and queue tree networks, the results for the delay obtained by the queue tree are 9 ms, packet loss = 0%, and throughput = 549 k. Whereas the simple queue obtains the value from the QoS measurement by performing calculations with the equation formula to obtain a value of delay = 8 ms, packet loss = 0.15% and throughput = 629 k. Based on the Tiphon standard, it can be concluded that for delay, a queue tree is better with a value above the simple queue with a very good index, the packet loss queue tree is better than the simple queue, the index is very good, the throughput of the simple queue is better compared to the throughput queue tree. This research shows that overall Queue Tree is more optimal for QoS.
Analisis Kemampuan Komunikasi Matematis Siswa Ditinjau dari Gaya Berpikir Gregorg pada Materi Relasi dan Fungsi Rahmia, Rahmia; Muliana; Hidayat, Amam Taufiq; Fajriana
Jurnal Ilmiah Kanderang Tingang Vol 16 No 2 (2025): Jurnal Ilmiah Kanderang Tingang
Publisher : FKIP Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37304/jikt.v16i2.412

Abstract

Students' low mathematical communication skills indicate obstacles in conveying and understanding mathematical ideas, both verbally and in writing. This study aims to analyze students' mathematical communication skills according to Gregorc's thinking style on the topic of relations and functions. The method used was descriptive qualitative, with data collected through a thinking style questionnaire, a mathematical communication test, and semi-structured interviews. Four eighth-grade students were purposively selected, each representing one type of Gregorc's thinking style. The study's findings indicate that students with an abstract sequential thinking style achieve coherent, logical, and complete mathematical communication, while those with a concrete random thinking style tend to have difficulty conveying ideas systematically. It is concluded that thinking style influences students' mathematical communication styles, so teachers need to consider differences in thinking styles in developing effective lesson plans.
Pengembangan E-Modul Berbasis Model Inquiry Based Learning Berbantuan Aplikasi Heyzine Terhadap Kemampuan Komunikasi Matematis Siswa Miranda, Firdatul; Fajriana; Sinaga, Nurul Afni
Jurnal Ilmiah Kanderang Tingang Vol 16 No 2 (2025): Jurnal Ilmiah Kanderang Tingang
Publisher : FKIP Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37304/jikt.v16i2.418

Abstract

This study aims to develop an e-module based on inquiry-based learning model assisted by the heyzine application for students' mathematical communication skills on data centralization and data dissemination materials at SMP Negeri 3 Lhokseumawe. The background of this study is the low mathematical communication skills of students, the teaching and learning process still uses books and teaching modules that tend to be boring for student and many teachers are still unfamiliar with the use of applications such as heyzine. The method used is Research and Development (R&D) with the ADDIE development model, which consists of five stages: Analysis, Design, Development, Implementation, and Evaluation. Product validation is carried out by media experts and material experts to determine the level of validity. Practicality and effectiveness are assessed through student response questionnaires and learning outcomes. The results showed that the validation of media experts obtained a score of 98.09%, and material experts 95.4% with the category of "very feasible." The practicality test of student responses reached 92.6% with the criteria of "very practical" and student learning outcomes reached an effectiveness level of 85% with the criteria of "very effective". These results indicate that the developed e-module is valid, practical, and effective for use in mathematics learning, especially in statistics material for grade VIII. This product is expected to support enjoyable learning and be relevant to students' daily lives.
Firewall Analytics in DNS and SYN Flood Protection on Mikrotik CCR in the North Aceh District Government Imanda, Nanda; Abdullah, Dahlan; Fajriana, Fajriana; Nurdin, Nurdin; Ula, Munirul
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.
MARKETING GAMES AND SENSITIVITY ANALYSIS FOR ANY NUMBER OF COMPANIES Amir, Almira; Simanjuntak, Ruth Mayasari; Suzana, Yenny; Lubis, Riri Syafitri; Syarah, Fatmah; Fajriana, Fajriana; Zahedi, Zahedi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp0927-0940

Abstract

In the business world, advertising plays a crucial role in shaping market dynamics. This study analyzes advertising competition among companies by calculating the optimal profits for two to four competitors and postulating a general formula for a larger number of companies. Sensitivity analysis is employed to observe how changes in advertising parameters affect profits. The simulation results indicate that in the case of four companies, the optimal spending (Xopt) ranges from 137246 to 191288, while the optimal profit (Popt) ranges from 38693.1 to 92702. The sensitivity analysis shows that companies with higher advertising effectiveness achieve greater profits, whereas those with lower effectiveness tend to experience reductions in both allocation and profit. With the aid of Maple and Excel, this research extends previous advertising competition models by providing a comprehensive framework for optimizing advertising budgets in oligopolistic markets.
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 (On Progress)
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.
Perbandingan Metode Single Exponential Smoothing Dan Metode Double Exponential Smoothing Untuk Memprediksi Konsumsi Energi Listrik Di PT. PLN (Persero) ULP Lhokseumawe Syahtira, Meisya; Nurdin, Nurdin; Fajriana, Fajriana
Jurnal Nasional Teknologi dan Sistem Informasi Vol 11 No 3 (2025): Desember 2025
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v11i3.2025.350-360

Abstract

Electricity is a vital necessity for society and serves as a key driver across various sectors, including households, businesses, and industries. With the increasing demand for electricity each year, PT. PLN (Persero) ULP Lhokseumawe is required to plan its distribution and power capacity accurately. Inaccurate forecasting may cause imbalances between supply and demand. This study compares two forecasting methods, namely Single Exponential Smoothing (SES) and Double Exponential Smoothing (DES), to predict electricity consumption in the Lhokseumawe region. The dataset consists of monthly electricity consumption per sub-district from 2022 to 2024, with forecasting projections up to 2027. The research stages include data collection, preprocessing, application of SES and DES methods, accuracy evaluation using Mean Absolute Percentage Error (MAPE), and the design of a web-based system using Python and Flask. The results indicate that the SES method achieved higher accuracy with a MAPE value of 5.85%, while the DES method obtained a MAPE value of 7.87%. These findings suggest that SES is more suitable for data with random fluctuations, whereas DES is better applied to data with trend patterns. By comparing the MAPE values, this study provides insights into which method is more optimal for electricity consumption forecasting in Lhokseumawe. The outcomes are expected to contribute practically to PT. PLN (Persero) ULP Lhokseumawe in formulating more effective and efficient electricity distribution strategies.
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.
Co-Authors A Halim Ahmad Fahrudin Aklimawati Aklimawati Aklimawati Aklimawati, Aklimawati Alawiyah, Mufidah Alifa, Suci Almira Amir Amalia, Nova Amalia, Wildi Aminuyati Andri Kurniawan Ariani, Dini Aris Munandar Aryandi, Aryandi Aryandi, Aryandi Asrianda Asrianda Asrillah Asrillah Atikah Fitriani Atta Illah Aufa, Zurra Yusally Aulia, Riva Aynun, Nur Ayu Ningtiyas, Fitri Ayu Rahmi Azhari Azhari Azlika, Lulu Baso Intang Sappaile, Baso Intang Bustami Bustami Chicha Rizka Gunawan Dabet, Abubakar Dahlan Abdullah Darmansyah, Arif Deassy Siska Dessy Putri Wahyuningtyas Ermatita - Ermatita Ermatita Ermatita Ermatita Eva Darnila Fachrur Rozi Fadlisyah Fadlisyah Fakhrah Febrianti, Fadila 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 Hidayat, Amam Taufiq Hidayatsyah Hidayatsyah I Gede Iwan Sudipa Imanda, Nanda Imanda, Riska Isfayani, Erna Iwan Adicandra Iwan Pahendra Iwan Pahendra Iwan Pahendra Anto Saputra Izza, Nurul Jannah S, Rauzatul Jimmy H Moedjahedy Jumita Sari Khaidar, Al Khairunnisa Khairunnisa Khairunnisa Khairunnisa Laksono Trisnantoro Listiana, Yeni Lolia Lusiana Rahayu Luthfiah, Moulana M Mursalin M.nasir, Safinatun Najar Maha, Dedi Torang P Mahera, Ulfa Maito, Rizki Minta Mardhatillah, Mona Marhami, Marhami Marwan Marwan Maryana Maryana Maryana Maryana, Maryana Maulida, Maulida Miranda, Firdatul Mona Mardhatillah Muhammad Chairil Abnu Muhammad Faisal Muhammad Fikry Muhammad Muhammad Muhammad Sadli Muhammad Sadli Muhammad Sadli, Muhammad Muhammad, Iryana Muhammad, Muhammad Mukti Qamal Mukti Qamal Muliana Muliana, Muliana Muliana, Muliana Muliani, Eva Munawarah Munawarah, Munawarah Munirul Ula Mursalin . Mutammimul Ula Muthmainnah Muthmainnah Muthmainnah Muthmainnah Mutia Fonna Nanda Novita Nasrah, Sayni Nasrah, Sayni NinaUlfauza NinaUlfauza Niswatul Khaira Novia Hasdyna Nur Elisyah Nurahma, Syahfitri Nuraina, Nuraina Nurdin Nurdin Nurdin Nurdin Nurul Afni Sinaga NURUL HAYATI Nurzannah Nurzannah Nurzannah, Nurzannah Nusantara, Badai Charamsar Oktiawati, Unan Yusmaniar Pane, Syamsul Buchori Pasaribu, Jaza Anil Husna Puji Sabrini Qusaiyen, Qusaiyen Rahayu, Lolia Lusiana Rahmawati M Rahmawati M, Rahmawati Rahmia, Rahmia Rasyada, Reza Dian Ratna Unaida, Ratna Retno Ayu Trisnawati Richki Hardi Rifaatul Mahmuzah Riri Syafitri Lubis Rizal Rizal Rizki Akmalia Rizkiana Akmalia Robbi Rahim Rofi’i, Agus Rohantizani Rohantizani Rohantizani, Rohantizani Rozzi Kesuma Dinata Ruth Mayasari Simanjuntak Sadewa, Bima Safriana Safriana Safwandi Safwandi Safwandi Safwandi, Safwandi Salama, Umi Samsinar Samsinar Santosa, Tomi Apra Saragih, Novilia Junianti Sirait, Nur Al Fira Siraj Siraj Siraj Siraj Siregar, M. Ali Akbar Sri Setyawati Suryati Suryati Suyatmo, Suyatmo Suzana, Yenny Syahputra, Azhar Syahrina Intan Syahtira, Meisya Syamsul Bahri Syarah, Fatmah Syarifah Rita Zahara Taufiq Taufiq Teuku Alfiady Tjut Adek, Rizal Ulfah, Julia Ulvityatni Umaiya, Fazilah Veirrel, Dwi Harsya Ramadhan Via Yustitia Wahyu Fuadi Wahyu Fuadi Wahyu Fuadi Wulandari Wulandari Wulandari Wulandari Yulia Zahara Yulidayanti, Yulidayanti - Yundari, Yundari Zahedi . Zahratul Fitri Zaman, Qamaruz Zara Yunizar Zulfa Zulfa Zulfia , Anni Zuraida Zuraida