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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) 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) ITEJ (Information Technology Engineering Journals)
Fajriana, Fajriana
Universitas Malikussaleh
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The Effect of Project-Based Learning on Students’ Mathematical Communication Skills Salama, Umi; Fajriana, Fajriana; Elisyah, Nur
Jurnal Pendidikan Matematika Vol. 16 No. 2 (2025): July 2025
Publisher : Jurusan Pendidikan Matematika FKIP Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36709/jpm.v16i2.328

Abstract

The low level of students’ mathematical communication skills in mathematics learning is caused by a learning process that is still teacher-centered. Therefore, a more student-centered learning model is needed, one of which is the project-based learning model as an alternative solution. This study was conducted to determine the effect of the project-based learning model on students’ mathematical communication skills. This study employed a quasi-experimental approach using a nonequivalent pretest-posttest control group design. All 10th grade classes were the research population. The sample was taken using purposive sampling, where X-2 was used as the experimental class and X-3 was used as the control class. Data was obtained by administering a test instrument to students. To test the hypothesis, the researcher used the Shapiro-Wilk normality test and the Mann-Whitney test, assisted by SPSS software version 26. Based on the results of hypothesis testing using the Mann-Whitney test, the Asymp. Sig. (2-tailed) value was 0,000 (≤ 0,05), resulting in the rejection of H0, concluding that there is an effect of the PjBL model on students' mathematical communication skills.
OPTIMIZING PHARMACEUTICAL DISTRIBUTION IN PUBLIC HEALTH CENTERS USING FUZZY C-MEANS CLUSTERING Nurahma, Syahfitri; Darnila, Eva; Fajriana
Jurnal Techno Nusa Mandiri Vol. 20 No. 2 (2025): Techno Nusa Mandiri : Journal of Computing and Information Technology Period o
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v20i2.7336

Abstract

Efficient drug distribution is fundamental to ensuring the quality of public healthcare services. However, health departments often face challenges with imbalances between drug demand and available supply. This study addresses this issue by applying the Fuzzy C-Means (FCM) clustering algorithm to categorize drug demand levels across 16 public health centers (puskesmas) in Langkat Regency, Indonesia, from 2021 to 2023. Using historical data from 2,400 drug records, the analysis identified five distinct demand clusters: Very Low, Low, Medium, High, and Very High. The results revealed a significant disparity in drug needs, with the "Very High" demand cluster dominating (51.29% of data) in centers like Besitang and Tanjung Selamat, driven by high morbidity rates. In contrast, other clusters were less prevalent, such as the "Low" demand cluster, which was primarily concentrated in the Gebang health center. These findings, visualized using t-SNE plots, highlight significant regional variations in pharmaceutical needs. This data-driven clustering provides a robust framework for the Langkat District Health Office to develop more targeted, efficient, and equitable drug distribution strategies, ultimately improving healthcare service delivery.
Z-Score Based Initialization for K-Medoids Clustering: Application on QSAR Toxicity Data Nurdin, Nurdin; Amalia, Nova; Fajriana, Fajriana
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10448

Abstract

The efficiency of clustering algorithms significantly depends on the initialization quality, especially in unsupervised learning applied to complex datasets. This study introduces an enhanced K-Medoids clustering approach using Z-Score-based medoid initialization to improve convergence speed and cluster validity. The method was evaluated using the QSAR Fish Toxicity dataset, consisting of 908 instances and seven numerical features. Initial medoids were selected based on standardized Z-Score values, resulting in a substantial reduction in convergence time from an average of 6 iterations to just 2. Clustering performance was assessed using three internal validation metrics: Davies-Bouldin Index (DBI), Silhouette Coefficient (SC), and Calinski-Harabasz Index (CHI). The DBI score decreased from 1.7328 to 0.8768, indicating improved cluster compactness and separation. In parallel, the SC increased from 0.327 to 0.619, and the CHI rose from 214.75 to 562.43, confirming more coherent and well-separated clusters. These results demonstrate that Z-Score-based initialization significantly boosts the robustness of K-Medoids, offering a simple yet effective strategy for unsupervised partitioning, particularly in toxicological and biochemical data analysis.
Application of the Profile Matching Analysis Method in Decision Support Systems for Study Program Recommendations Rasyada, Reza Dian; Nurdin, Nurdin; Fajriana, Fajriana
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3161

Abstract

Currently, many prospective students are still confused about which study program to choose. One of the problematic factors is the lack of references from prospective students about the contents of each study program. This research aims to build a decision support system for study program recommendations using the Profile Matching Analysis method. The benefits of this research can provide final results in the form of recommended study program scores that are most suitable for prospective students. There are 5 assessment criteria used in this research, namely Language Values, Logic/IT Values, Science Values, Practice Values, and Social Values. The methods or stages carried out in this research are: data collection, system flowchart design, application of the Profile Matching Analysis method and system implementation. In this research, the recommendation results were obtained for a student with the name Afni Ruhmini based on the results of system calculations using the Profile Matching Analysis method, obtaining recommendation results for the Public Administration study program with a score = 5.3, the Marine Science study program with a score = 5.9, and the Agribusiness study program with a score = 5.6, the Physics Education study program with a score = 5.7 and the Law study program with a score = 4.8. The Profile Matching Analysis method is very suitable to be applied to solve problems in decision support system research for study program recommendations.
Students' Perceptions of Learning Using Powtoon Based on Gender in SMP/MTS Fajriana, Fajriana; Safriana, Safriana; Nurdin, Nurdin
International Journal of Engineering, Science and Information Technology Vol 2, No 1 (2022)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.573 KB) | DOI: 10.52088/ijesty.v2i1.205

Abstract

Perception is an individual observation or process giving meaning as a result of observations about an object, event, and so on through his five senses, which is obtained by inferring information and interpretation of messages so that someone can provide feedback about the good or bad or the positive and negative of it. The use of animation media in learning other than providing many conveniences, there are also obstacles, causing various student perceptions. Students' perceptions of the use of learning media can be seen by gender. This study aims to determine students' perceptions of learning using animation/powton in SMP/MTs based on gender. Based on the data collected, this research is descriptive with a qualitative approach. The data collection method in this study used a questionnaire in collecting data from primary and secondary sources. In this study, the primary data was the result of a perception survey through a questionnaire conducted to SMP/MTs students. In contrast, secondary information is obtained from a literature review regarding online learning systems and virtual classes. The data analysis technique uses percentages. The results of data analysis are presented descriptively in the following subchapter. Based on the results of research and discussion, it has been known that students' perceptions of learning mathematics using Powton media are perfect. Both male and female students positively perceive learning mathematics by using Powton-based learning media in SMP/MTs. Students get an average student answer of 100% and fall into the "Very Good" category. it explains that animation media is beneficial for students in understanding the lesson.
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
PELATIHAN PENGOLAHAN DATA PENELITIAN MENGGUNAKAN APLIKASI SPSS Sudarso, Hendra; Fahrudin, Ahmad; Suryati, Suryati; Fajriana, Fajriana; Sappaile, Baso Intang
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 4 (2024): Volume 5 No. 4 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i4.30886

Abstract

Pelatihan "Pengolahan Data Penelitian Menggunakan Aplikasi SPSS" diadakan untuk menjawab kebutuhan mendesak akan keterampilan dalam pengolahan data yang akurat dan efisien. Seiring dengan perkembangan era digital, kemampuan menganalisis data menjadi sangat penting bagi peneliti dan akademisi. Pelatihan ini, yang diikuti oleh 41 peserta dari berbagai kalangan, bertujuan untuk meningkatkan pemahaman dan keterampilan mereka dalam menggunakan SPSS untuk analisis data penelitian. Metode yang digunakan mencakup pemaparan teori, praktik langsung, serta diskusi dan tanya jawab. Hasil dari pelatihan menunjukkan peningkatan signifikan dalam pemahaman peserta tentang konsep statistik dasar dan kemampuan praktis dalam penggunaan SPSS. Peserta mampu melakukan analisis data dengan lebih efektif dan efisien, serta mengaplikasikan teknik-teknik analisis yang relevan dalam penelitian mereka. Kesimpulannya, pelatihan ini berhasil meningkatkan kapasitas peserta dalam pengolahan data, yang pada akhirnya akan meningkatkan kualitas penelitian dan pengambilan keputusan berbasis data. Pentingnya hasil ini terletak pada kontribusinya dalam membangun komunitas peneliti yang lebih handal dan berbasis data di Indonesia.
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.
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 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 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 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 Veirrel, Dwi Harsya Ramadhan 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