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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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The SISTEM PENJADWALAN PADA DAYAH DARUL MUARRIF AL-AZIZIYAH MENGGUNAKAN METODE ALGORITMA GENETIKA: SCHEDULING SYSTEM AT DAYAH DARUL MUARRIF AL-AZIZIYAH USING GENETIC ALGORITHM METHOD Zikratul Maulana; Fadlisyah Fadlisyah; Fajriana Fajriana
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6405

Abstract

The scheduling of subjects at Dayah Darul Muarrif Al-Aziziyyah is a complex problem due to multiple constraints, such as teacher availability, classroom capacity, and student learning time. This problem falls into the NP-hard category, making conventional methods less effective. This study utilizes a genetic algorithm to efficiently solve the scheduling problem. The schedule is represented as a chromosome containing subject, time, room, and teacher data. Evaluation is performed using a fitness function based on hard constraints (such as schedule conflicts) and soft constraints (such as time preferences). The results demonstrate that the genetic algorithm can produce feasible and more efficient schedules compared to manual scheduling. This study supports the development of adaptive automatic scheduling systems for educational institutions. In addition, the system is designed with a user-friendly interface and is capable of evolving the population iteratively to find an optimal or near-optimal solution. Testing was conducted using real data from Dayah Darul Muarrif Al-Aziziyyah, demonstrating the system’s ability to handle various combinations of constraints with a high degree of accuracy. Thus, this approach not only accelerates the scheduling process but also improves the overall quality of schedule management.
PENENTUAN LOKASI KAFE UNTUK MAHASISWA TEKNIK UNIVERSITAS MALIKUSSALEH MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING: DETERMINATION OF CAFE LOCATION FOR ENGINEERING STUDENTS OF MALIKUSSALEH UNIVERSITY USING THE SIMPLE ADDITIVE WEIGHTING METHOD Ahmad Fajrul Amin; Munirul Ula; Fajriana Fajriana
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6453

Abstract

Engineering students at Universitas Malikussaleh require a comfortable, affordable, and academically supportive space for gathering, discussion, and study. However, financial limitationsparticularly among recipients of the Kartu Indonesia Pintar (KIP) program highlight the importance of location and pricing in café selection. This study aims to determine the optimal location for a student café using the Simple Additive Weighting (SAW) method as a Decision Support System. SAW is chosen for its effectiveness in processing multi-criteria decisions by applying specific weights to each criterion. The research was conducted within the Faculty of Engineering at Universitas Malikussaleh, using primary data collected through interviews and direct observation of potential café locations. Evaluation criteria include menu prices, comfort, service quality, distance to campus, and supporting facilities. The SAW method was applied to rank the alternatives, with the highest score representing the most suitable location for students' needs. A web-based application was developed using PHP and MySQL to implement the system, and functionality was validated using both black-box and white-box testing methods. This study offers a data-driven solution for optimizing campus facilities and provides a reference model for other institutions seeking to develop inclusive and strategic student service locations.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN FRAMEWORK WEB MENGGUNAKAN METODE WEIGHTED PRODUCT: DECISION SUPPORT SYSTEM FOR WEB FRAMEWORK SELECTION USING WEIGHTED PRODUCT METHOD Muhammad Alfath Frandhana Sihotang; Fadlisyah; Fajriana
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.6610

Abstract

There are many types of web frameworks available today, each with its own characteristics, advantages, and limitations. This diversity often makes it difficult for developers to determine the most appropriate framework to meet all project needs. This study aims to help developers determine the best framework that can be used optimally on small and large-scale projects. The research process includes determining framework selection criteria based on literature studies, assessing the weight of criteria from developers and students, and collecting framework data through online platforms such as Official Documentation (official websites of the frameworks studied), Github, and Stack Overflow. Based on the results of the analysis and evalution of the collected data, it was found that the Next.js framework ranked highest as the best front-end framework with a final score of 0.04566 on a scale of 0-1, and the FastAPI framework ranked highest as the best back-end framework with a final score of 0.04385 on a scale of 0-1. Thus, Next.js (front-end framework) and FastAPI (back-end framework) are considered to have superior performance, high scalability, and extensive community support, making it easier for developers to find solutions, documentation, and development references. If an error or bug occurs, developers can ask questions on the Github website, Stack Overflow and the Official Documentation of the framework.  
The Effect of Work Preparation Sheet Learning Media on Learning Outcomes of Turning Practice into Machining Practice in Vocational High Schools Siraj Siraj; Abubakar Dabet; Azhar Syahputra; Marwan Marwan; Fajriana Fajriana; Sayni Nasrah
At-Tarbawi: Jurnal Pendidikan, Sosial dan Kebudayaan Vol. 9 No. 1 (2022): At-Tarbawi: Jurnal Pendidikan, Sosial dan Kebudayaan
Publisher : the Faculty of Education and Teacher Training of the Institut Agama Islam Negeri (IAIN) Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/tarbawi.v9i1.4232

Abstract

This study aims to determine the learning outcomes of students' lathe practices who are taught by using work preparation sheets and not using the work preparation sheets in turning practice. It is also to find out the differences in the learning outcomes of students in both classes during machining practice-training courses at the eleventh grade of SMK Negeri 1 Bireuen. The research method used was a True Experimental Design research method in which the implementation used a Posttest-Only Control Design type that compares the experimental class with the control class. The population in this study was class XI TPM Mechanical Engineering at SMK Negeri 1 Bireuen which consisted of 2 classes with 58 students. Class XI TPM 1 was selected as the experimental class and class XI TPM 2 as the control class. The data collection was obtained from the results of the lathe practice. The results showed that the students of class XI TPM1 (experimental class) obtained an average value of turning the practice of 85.62. While the learning outcomes of class XI TPM2 students (control class) obtained an average value of 62.78 lathe practice. From these results, it can be concluded that learning outcomes using work preparation sheet learning during practice are better than those who do not use work preparation sheets during lathe practice.
Comparison of Naïve Bayes and Logistic Regression for MBG Sentiment Analysis on X Fibry Widianti; Nurdin; Fajriana
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.18025

Abstract

The Free Nutritious Meal Program (MBG) is a strategic step by the Indonesian government to improve the quality of human resources through nutritional improvement. However, this policy has triggered polarization of opinion on social media X, ranging from support to criticism regarding distribution and transparency. This study aims to analyze public perception of the MBG program by comparing the performance of the Naïve Bayes and Logistic Regression algorithms. A total of 1,500 tweets were collected through scraping techniques using Tweetharvest. The research stages included text preprocessing and feature extraction using TF-IDF, with a 70:30 split between training and testing data. The evaluation results showed that Logistic Regression had superior performance with an accuracy of 72%, a precision of 72.17%, a recall of 69.32%, and an f1-score of 69.60%. Meanwhile, Naïve Bayes achieved an accuracy of 70.22%, a precision of 80.52%, a recall of 65.36%, and an f1-score of 63.70%. Research findings indicate that Logistic Regression is more dominant in predicting negative and neutral sentiment, while Naïve Bayes tends to dominate predictions of positive sentiment. Overall, Logistic Regression has proven more consistent and effective in mapping the dynamics of public perception of government policies on digital platforms than Naïve Bayes.
Clustering Status Pemberian Imunisasi Dasar Di Dinas Kesehatan Kabupaten Bireuen Menggunakan Metode K-Medoids NinaUlfauza; Zara Yunizar; Fajriana
JETI (Jurnal Elektro dan Teknologi Informasi) Vol. 3 No. 1 (2024): Jurnal Elektro dan Teknologi Informasi: APRIL 2024
Publisher : Program Studi Teknik Elektro Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jeti.v1i1.386

Abstract

Abstrak— Imunisasi dasar merupakan salah satu upaya dalam mencegah penyakit menular pada anak-anak. Penelitian ini berfokus pada analisis status pemberian imunisasi di Dinas Kesehatan Kabupaten Bireuen. Metode yang digunakan adalah K-Medoids dengan data imunisasi dasar anak usia 0-5 tahun dari tahun 2020 hingga 2022. Hasilnya mengidentifikasi tiga cluster: Selesai, Belum Selesai, dan Tidak Selesai. Aplikasi berbasis web dirancang menggunakan DFD, JavaScript, Python, dan MySQL. Dari hasil penelitian, terlihat perbedaan status pemberian imunisasi dasar di Kabupaten Bireuen pada tahun-tahun tersebut. Informasi ini dapat menjadi dasar untuk merancang strategi peningkatan cakupan imunisasi dasar di wilayah tersebut. Kesimpulan dari penelitian ini memberikan pandangan yang jelas tentang distribusi dan ketersediaan imunisasi dasar, yang dapat membantu Dinas Kesehatan dalam mengoptimalkan upaya pencegahan penyakit melalui imunisasi. Kata kunci: Imunisasi dasar, k-medoids, status pemberian imunisasi, clustering.
Comparative Analysis of Network Quality Using QOS Parameters on Mikrotik Routers Using the Queue Tree and Simple Queue Methods Anni Zulfia; Dahlan Abdullah; Fajriana Fajriana
Journal of Industrial Engineering and Management Vol 1, No 1 (2023)
Publisher : Malikussaleh University, Aceh, Indonesia

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.
Analisa Hubungan Penyakit Jantung Koroner Terhadap Penyebabnya Menggunakan Algoritma Frequent Pattern Growth Eva Darnila; Nazira Nazira; Fajriana Fajriana
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp19-31

Abstract

The increase in cases of coronary heart disease without detailed knowledge of the causes is a serious problem that requires immediate treatment. This study aims to analyze the relationship between causal factors and the incidence of coronary heart disease using the Frequent Pattern Growth (FP-Growth) algorithm. This algorithm is applied to medical data of inpatients at RSUD dr. Fauziah Bireuen to identify patterns of relationships that often arise between risk factors such as age, gender, diabetes, cholesterol, hypertension and uric acid on the diagnosis of coronary heart disease. There were 180 patient medical record data with 17 items used for analysis. The results show the three most significant relationship patterns: the combination of risk factors for diabetes and high cholesterol has a support value of 50% and confidence of 67%, the risk of diabetes in men has a support value of 47% and confidence of 63%, and the combination of cholesterol and hypertension shows a support value of 45 % and confidence 66%. These results are expected to provide better insight into the prevention, early detection and treatment of coronary heart disease, as well as improving health services in hospitals. This research also emphasizes the importance of applying data mining technology in the analysis of complex health data.
An Explainable Optimization Framework for Demand-Driven Inventory Decisions Using SHAP and Mixed Integer Programming Alfry Aristo Jansen Sinlae; Fajriana Fajriana; Yenny Suzana; Kiki Puspo Arianty
International Journal of Engineering, Science and Information Technology Vol 6, No 3 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i3.1882

Abstract

Demand uncertainty complicates inventory decision-making and requires decision-support systems that are both accurate and transparent. However, existing studies primarily emphasize either demand forecasting or inventory optimization, with limited attention to integrating explainability into a unified decision-making framework. This study develops and evaluates an Explainable Optimization Framework that combines Extreme Gradient Boosting (XGBoost) for demand forecasting, SHapley Additive exPlanations (SHAP) for model interpretability, and Mixed Integer Programming (MIP) for inventory optimization. The framework was developed following the Design Science Research methodology, encompassing problem identification, artifact development, demonstration, evaluation, and communication. Model performance was assessed using rolling-origin backtesting to provide a robust evaluation under dynamic and uncertain demand conditions. Forecasting accuracy was measured using Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). Experimental results demonstrate that XGBoost achieved the highest forecasting accuracy, with an RMSE of 43.87, MAE of 33.92, and MAPE of 7.61%. The forecasted demand was subsequently incorporated into the MIP optimization model, resulting in a 22.3% reduction in total inventory cost, an increase in service level from 91.2% to 96.8%, an improvement in fill rate from 89.7% to 95.4%, a 57.1% reduction in stockout frequency, and an increase in inventory turnover from 5.8 to 7.2 compared with the baseline approach. SHAP analysis identified historical demand, promotional activities, and product price as the most influential variables affecting demand predictions, providing transparent explanations that enhance managerial trust and support informed inventory decisions. Overall, the proposed framework demonstrates that integrating forecasting, explainability, and mathematical optimization into a unified decision pipeline significantly improves operational efficiency, inventory performance, decision transparency, and resilient data-driven supply chain management across diverse industrial sectors
Development of Integrated Audiovisual Digital Handout Through Flipbook Application Based on Realistic Mathematics Education Fajriana Fajriana; Rifaatul Mahmuzah; Fitri Ayu Ningtiyas; Nurul Afni Sinaga; Zurra Yusally Aufa; Novilia Junianti Saragih
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.990

Abstract

Effective learning media that prioritizes digitalization in the learning process and curriculum development are needed to improve students' numeracy literacy skills. One type of digital learning media is digital handouts, which are expected to provide positive changes in the world of education. Digital learning media that prioritizes audiovisual is expected to provide new learning experiences for students. This study will determine whether students' numeracy literacy skills increase after studying digital audiovisual handouts through the Realistic Mathematics Education-Based Flipbook Application. This research method uses the modified Borg and Gall model with stages of needs analysis, planning, initial product development, initial field trials, revision of test results, field trials of the main product, product revision, and final product and implementation. The research was conducted at SMPN 1, SMPN 2, and SMPN 3 Dewantara. The subjects of this study were students of grade VIII. The object of the research was Integrated Audiovisual Digital Handouts Assisted by Flipbook Application Based on Realistic Mathematics Education. The results of the validity test by material experts and media experts showed that the media that had been developed was feasible to be tested on students. The results of the small group trial stated that the press created was valid in appearance, ease of use, and usefulness so that it could be used in the media effectiveness trial through evaluation.
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