Article Per Year (5 Year)
p-Index From 2021 - 2026
11.628
P-Index
This Author published in this journals
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
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences 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 Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

Published : 95 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 95 Documents
Search

 3   4   5   6   7 
Implementation of the Profile Matching Algorithm to Identify Outstanding Students at Pesantren Modern Misbahul Ulum Luthfiah, Moulana; Bustami, Bustami; Fajriana, Fajriana
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 1 (2024): Journal of Advanced Computer Knowledge and Algorithms - January 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i1.14533

Abstract

This research aims to design a decision support system to identify outstanding students at the Misbahul Ulum Modern Islamic Boarding School. Although determining outstanding students is done by taking the average score from all aspects of the criteria, the evaluation process which is still carried out manually takes quite a long time. Therefore, a computerized decision support system is needed to help make decisions more efficiently and accurately. This system was developed using the PHP programming language. The aim of this research is to overcome obstacles in recognizing outstanding students at the Misbahul Ulum Modern Islamic Boarding School by applying the Profile Matching Algorithm. This method can provide the best data by comparing alternative values and predetermined criteria. This research contributes to the development of educational technology and facilitates the introduction of outstanding students at the Misbahul Ulum Modern Islamic Boarding School. By determining the criteria aspects, determining the weight value of each aspect, finding the GAP value, and carrying out a ranking process, this research produces objective results. Involving 252 students from grades 7-11, this research produced a final grade for each student. The calculation results show that Zikril got the highest score, while Asma Biwi got the lowest score.
Analisa Pola Peminjaman Buku di Perpustakaan Fakultas Teknik Universitas Malikussaleh untuk Menentukan Tata Letak Buku Menggunakan Metode Algoritma Fp-Growth Umaiya, Fazilah; Wahyu Fuadi; Fajriana
Jurnal Elektronika dan Teknologi Informasi Vol 5 No 2 (2024): September 2024
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v5i2.490

Abstract

This study aims to analyze book borrowing patterns in the Faculty of Engineering Library, Malikussaleh University in order to determine the optimal book layout. Book borrowing patterns are analyzed using the FP-growth algorithm method, a data mining technique that is efficient in finding association patterns or relationships between items in large databases. The data used in this study include book borrowing records from January to April 2024. The results of the analysis show that there are several significant borrowing patterns between certain book categories, for example, books on programming are often borrowed together with books on information systems. Based on these findings, book layout recommendations are proposed so that books that are often borrowed together are placed close together, thus facilitating access for users and increasing the efficiency of the library layout. The use of the FP-growth algorithm in this study has proven effective in identifying hidden patterns in book borrowing data. Keywords: Library, Data Mining, FP-growth Algorithm, Web
Predicting Electricity Consumption in Aceh Province Using the Markov Chain Monte Carlo Method Gavinda, Virza; Nurdin, Nurdin; Fajriana, Fajriana
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.678

Abstract

Electricity is essential to nearly every aspect of modern life, from industrial sectors to household needs. In Aceh Province, the demand for electricity has consistently increased along with economic growth, urbanization, and population expansion. Various studies indicate that rising electricity consumption is closely linked to economic growth and industrialization. This study uses the Markov Chain Monte Carlo (MCMC) method with the Metropolis-Hastings algorithm to predict electricity consumption in Aceh Province. The research addresses the significant increase in electricity consumption driven by economic growth and urbanization in the region. Electricity consumption data from January 2018 to December 2022 was utilized as the basis for modeling. The results indicate a 32.4% increase in electricity consumption over the past five years. The predictive model achieved high accuracy with a Mean Absolute Percentage Error (MAPE) of 2.41%, demonstrating its reliability in forecasting future electricity needs. Projections through 2030 show a continuous increase, reaching 482 GWh by the end of the period. These findings are expected to support decision-making in sustainable energy planning and providing adequate electricity infrastructure in Aceh. This study highlights the effectiveness of the Me-tropolis-Hastings algorithm in handling complex data with high variability, providing valuable insights for long-term energy planning
Supporting Application Fast Learning of Kitab Kuning for Santri' Ula Using Natural Language Processing Methods Zaman, Qamaruz; Safwandi, Safwandi; Fajriana, Fajriana
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.713

Abstract

Education in Islamic boarding schools is one of Indonesia's traditional forms of education that teaches Islamic religious teachings, including studying the yellow classic books as the primary source of spiritual learning. However, learning the Yellow classic book is often complicated by 'ula students (early level students) because Arabic is without harakat or lines, and the material studied is very complex. To overcome these challenges, this research aims to develop a yellow Islamic classic book learning support application for 'ula students using the Natural Language Processing (NLP) method. This application has an interactive chatbot feature that helps students understand the contents of the yellow book more effectively and enjoyably. The research method includes literature study, data collection, data processing, and system development using the Sparse Categorical Cross Entropy algorithm in Natural Language Processing to improve the accuracy of chatbot responses. This application provides an innovative solution by presenting an interactive learning experience that can be accessed anytime and anywhere, thus facilitating Santri learning outside the boarding school environment. The results show that learning for 'ula students with the Natural Language Processing method is very good and easy to understand. The test shows that the accuracy of the application reaches 100% with a low error value (loss), which is 0%. It can be recognized that the effectiveness of Natural Language Processing in supporting yellow book learning, maintaining the tradition of Islamic education in the digital era, and helping teachers and parents monitor the development of students.
SISTEM PENGUJIAN HAFALAN AL-QURAN SURAH AL-ALA MELALUI SUARA MENGGUNAKAN TRANSFORMASI HAAR WAVELET Izza, Nurul; Zuraida, Zuraida; Fajriana, Fajriana
Jurnal Teknologi Terapan and Sains 4.0 Vol 5 No 3 (2024): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v5i3.19681

Abstract

Minat terhadap hafalan Al-Quran saat ini semakin meningkat, dan metode pendekatan dalam menghafal pun mengalami perkembangan pesat. Hal ini ditandai dengan bertambahnya jumlah lembaga tahfidz Al-Quran. Namun, dengan jumlah peserta yang besar dan keterbatasan waktu serta kapasitas pengajar, proses pengujian hafalan sering kali menjadi kurang optimal. Keterbatasan kemampuan pendengaran penguji juga dapat menyebabkan kesalahan dalam menilai akurasi tajwid dan pelafalan hafalan. Masalah ini sering kali membuat proses penilaian hafalan menjadi kurang akurat dan objektif. Untuk mengatasi permasalahan tersebut, diperlukan solusi berbasis teknologi yang dapat mendukung pengujian hafalan secara lebih efisien, akurat, dan objektif. Penelitian ini menggunakan pendekatan Transformasi Haar Wavelet untuk mengembangkan sistem pengujian hafalan surah Al-Ala melalui analisis suara. Sistem ini bertujuan mengevaluasi kesalahan atau kebenaran hafalan dengan membandingkan kemiripan antara suara latih dan suara uji. Pengujian dilakukan dengan menggunakan empat konstanta probabilitas yang berbeda (α = 0,3; 0,4; 0,5; 0,6), serta melibatkan 10 sampel suara latih dan 25 sampel suara uji. Hasil penelitian menunjukkan detection rate yang bervariasi: α = 0,3 menghasilkan 40%, α = 0,4 sebesar 56%, α = 0,5 mencapai 88%, dan α = 0,6 memberikan hasil tertinggi sebesar 96%, dengan total akurasi mencapai 70%. Meskipun sistem ini efektif untuk pengujian hafalan secara real time, kelemahan utama terletak pada sensitivitas terhadap noise, yang membuatnya kurang ideal untuk digunakan di lingkungan yang ramai.Kata Kunci: Transformasi Haar Wavelet, detection rate, real time, hafalan
SISTEM PAKAR DIAGNOSA PENYAKIT PENCERNAAN PADA MANUSIA MENGGUNAKAN METODE CERTAINTY FACTOR DAN PROFILE MATCHING Siregar, M. Ali Akbar; Fadlisyah, Fadlisyah; Fajriana, Fajriana
Jurnal Teknologi Terapan and Sains 4.0 Vol 5 No 3 (2024): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v5i3.19851

Abstract

Penyakit pencernaan adalah salah satu masalah kesehatan yang umum dan berbahaya. Untuk mengantisipasi hal tersebut, penelitian ini berfokus pada pengembangan sistem pakar yang dapat mendiagnosa penyakit pencernaan berdasarkan gejala yang diderita oleh pasien. Sistem pakar ini menggunakan metode Certainty Factor dan Profile Matching untuk memprediksi penyakit pencernaan dan menentukan tingkat kepastian diagnosis berdasarkan data gejala yang tersedia. Sistem pakar ini juga dilengkapi dengan fitur untuk mengelola data penyakit dan gejala, sehingga dapat melakukan diagnosa dan pengobatan. Dengan menggunakan metode Certainty Factor dan Profile Matching, sistem pakar ini diharapkan dapat memberikan informasi yang lebih akurat dan tepat waktu kepada user atau pasien tentang penyakit pencernaan. Dengan demikian, sistem pakar dapat menentukan diagnosis yang paling sesuai dengan kondisi gejala yang diderita pasien. Sistem pakar diagnosa penyakit pencernaan pada manusia dalam penelitian ini dibuat berbasis web dan output dari sistem merupakan persentase penyakit. Kata Kunci : Penyakit Pencernaan, Sistem Pakar, Certainty Factor, Profile Matching.
ANALISIS KESALAHAN SISWA BERDASARKAN KRITERIA WATSON TERHADAP KEMAMPUAN BERPIKIR KREATIF MATEMATIS DALAM MENYELESAIKAN SOAL HOTS Ariani, Dini; Wulandari, Wulandari; Ningtiyas, Fitri Ayu; Fajriana, Fajriana; Hidayatsyah, Hidayatsyah
Jurnal Pendidikan Matematika Malikussaleh Vol. 5 No. 1 (2025): Jurnal Pendidikan Matematika Malikussaleh
Publisher : LPPM UNIMAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jpmm.v5i1.19186

Abstract

Penelitian ini bertujuan untuk mengetahui kemampuan berpikir kreatif matematis siswa dalam menyelesaikan soal HOTS, jenis kesalahan berdasarkan kriteria Watson dan faktor penyebab siswa melakukan kesalahan. Jenis penelitian ini adalah deskriptif dengan pendekatan kualitatif. Subjek penelitian ini yaitu siswa MAN 3 Aceh Utara kelas X-4 yang berjumlah 14 siswa, selanjutnya subjek yang dipilih sebanyak 6 siswa berdasarkan purposive sampling. Teknik pengumpulan data pada penelitian ini yaitu tes tertulis dan wawancara. Hasil penelitian ini menunjukkan bahwa kemampuan berpikir kreatif matematis siswa didapatkan 2 dari 14 siswa berkemampuan tinggi dengan persentase 14,285%, 2 dari 14 siswa berkemampuan sedang dengan persentase 14,285% dan 10 dari 14 siswa berkemampuan rendah dengan persentase 71,428%. Dari persentase di atas terlihat bahwa secara keseruhan kemampuan berpikir kreatif matematis siswa di kelas X-4 MAN 3 Aceh Utara tergolong masih rendah. Jenis kesalahan siswa dalam menyelesaikan soal kemampuan berpikir kreatif matematis berdasarkan kriteria Watson meliputi prosedur tidak tepat (inappropriate procedure), data hilang (omitted data),  kesimpulan hilang (omitted conclusion), manipulasi tidak langsung (undirected manipulation), masalah hierarki keterampilan (skill hierarchy problem) dan selain ketujuh kesalahan (above other). Adapun faktor penyebab siswa melakukan kesalahan dalam menyelesaikan soal adalah terutama yaitu faktor ketidakmampuan siswa dalam mengingat, kurangnya waktu dalam mengerjakan soal, kurangnya ketelitian dan kesabaran, dan kurangnya pengalaman latihan terhadap soal yang serupa.  
PENGARUH MODEL PEMBELAJARAN THINK PAIR SHARE BERBANTUAN SOFTWARE WINGEOM TERHADAP KEMAMPUAN PENALARAN MATEMATIS PESERTA DIDIK Alawiyah, Mufidah; Fajriana, Fajriana; Elisyah, Nur
Jurnal Pendidikan Matematika Malikussaleh Vol. 5 No. 1 (2025): Jurnal Pendidikan Matematika Malikussaleh
Publisher : LPPM UNIMAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jpmm.v5i1.19604

Abstract

The causes of low mathematical reasoning ability of students include the use of conventional learning models that are still used by teachers in the learning process, and minimal use of technology. Therefore, a solution is provided by implementing the Think Pair Share learning model assisted by Wigeom Software. The purpose of this study was to determine whether students' mathematical reasoning ability is influenced by the Think Pair Share learning paradigm assisted by Wingeom Software. This study used a nonequivalent control group posttest-only research design and was quasi-experimental. All participants in this study were students of class VIII MTs Negeri 2 Aceh Utara. Class VIII-B was chosen as the experimental class and class VIII-D as the control class using purposive sampling techniques. The instruments used were tests and observation sheets. The tests used were pretest and posttest to see students' mathematical reasoning ability and observation sheets to find out the activities of teachers and students in the learning process. Hypothesis testing in this study used a non-parametric test, namely the Mann Whitney U-test assisted by SPSS Version 22 Software with a significance level of 0.05. Asimp sig. 0.000 was found based on the findings of the posttest data hypothesis test on students' mathematical reasoning abilities. It can be concluded from the data hypothesis test criteria that students' mathematical reasoning skills are influenced by the Think Pair Share learning paradigm with the help of Wingeom Software
Analisis Kemampuan Metakognisi Siswa dalam Menyelesaikan Soal High Order Thinking Skill (HOTS) Azlika, Lulu; Aklimawati, Aklimawati; Mahmuzah, Rifaatul; Fajriana, Fajriana; Zahara, Yulia
Jurnal Pendidikan Matematika Malikussaleh Vol. 5 No. 1 (2025): Jurnal Pendidikan Matematika Malikussaleh
Publisher : LPPM UNIMAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jpmm.v5i1.17613

Abstract

Kemampuan metakognisi berhubungan erat dengan konsep High Order Thinking Skills (HOTS), di mana siswa tidak hanya memahami konsep tetapi juga harus mampu menerapkan pengetahuan secara kritis, analitis, reflektif, metakognitif, dan kreatif. Penelitian ini bertujuan untuk menganalisis kemampuan metakognisi siswa dalam menyelesaikan soal High Order Thinking Skill (HOTS). Pendekatan yang digunakan adalah kualitatif dengan metode deskriptif. Teknik pengumpulan data yang digunakan meliputi tes tertulis, wawancara, dan dokumentasi. Subjek penelitian dipilih dari kelas XI-6 dengan menggunakan teknik purposive sampling, dan dipilih 11 siswa dari seluruh subjek dengan berbagai tingkatan kemampuan metakognisi berdasarkan hasil jawaban siswa. Hasil penelitian menunjukkan bahwa kemampuan metakognisi siswa kelas XI-6 SMAN Modal Bangsa Arun dalam menyelesaikan soal High Order Thinking Skill (HOTS) berada pada tingkatan strategic use atau level cukup pada tingkatan metakognisi. Sebanyak 47% atau 14 dari 30 siswa menunjukkan kemampuan metakognisi yang cukup untuk menyelesaikan soal HOTS dengan baik.
Internet of Things and Artificial Neural Network Application for Optimizing Spirulina Cultivation with Palm Oil Mill Effluent Ula, Munirul; Fajriana, Fajriana; Ulfah, Julia
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.22389

Abstract

This study aims to optimize algae biomass production by utilizing Palm Oil Mill Effluent (POME) as a nutrient source, employing Internet of Things (IoT) technology and Artificial Neural Networks (ANN) for predictive modeling and system control. POME, an organic waste from the palm oil industry, was used as an organic liquid fertilizer to enhance the efficiency and sustainability of algae cultivation. The system was designed to monitor and control key environmental parameters such as pH, temperature, salinity, and dissolved oxygen in real-time during a one-month trial in July 2024. ANN-based models were used to predict and adjust environmental conditions, leading to significant improvements in algae growth and resource efficiency. The results indicate that POME can serve as an effective and eco-friendly nutrient source, contributing to both reduced industrial waste and sustainable biomass production. This integrated approach supports circular economy principles and sustainability goals, with potential applications in bioresource production and waste management. Future research will focus on large-scale system testing, optimization for various algae species, and long-term sustainability assessment.
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