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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) ELEKTRO Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Informatika Pertanian Techno Nusa Mandiri : Journal of Computing and Information Technology ILKOM Jurnal Ilmiah KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) METIK JURNAL Jurnal Informatika Kaputama (JIK) Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer Mulia International Journal in Science and Technical JATI (Jurnal Mahasiswa Teknik Informatika) Science Midwifery JUKI : Jurnal Komputer dan Informatika Jurnal Sistem Informasi dan Sains Teknologi Jurnal Teknik Informatika (JUTIF) Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Arsitekno Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer Jurnal Tika Multica Science and Technology Andalasian International Journal of Applied Science, Engineering, and Technology Mejuajua Brilliance: Research of Artificial Intelligence AJAD : Jurnal Pengabdian kepada Masyarakat TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Jurnal Ilmu Gizi dan Dietetik Jurnal Pengabdian Masyarakat Bangsa Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jurnal Solusi Masyarakat Dikara The Indonesian Journal of Computer Science Asian Journal of Science Education
Mutammimul Ula
Universitas Malikussaleh
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APPLICATION OF INTELLIGENT SYSTEM WITH BACKPROPAGATION MODEL IN CLOUD IMAGE CLASSIFICATION Mulyadi Mulyadi; Ichwan, Muhammad; Rizka, Muhammad; Ula, Mutammimul
Multica Science and Technology Vol 2 No 1 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i1.323

Abstract

The clouds have different patterns on each type and each type has different properties. The introduction of the type, shape, and nature of the cloud is indispensable in the weather forecasts so that the clouds can be classified. There are several methods used in the image classification process that is the method of the artificial neural network Backpropagation. The method of Backpropagation is one of the methods used for the classification process, in this research Backpropagation used on the training and testing process for the introduction of cloud imagery aimed at determining the type of cloud, before the second These stages are carried out imagery through the preprocessing process. From the training conducted using the Backpropagation method shows that this method generates the best weight value and saves that value into the database to do the testing process using a neural network Backpropagation. In addition, Backpropagation also has the ability to reduce errors by continuously correcting the weight until reaching the maximum target. Data used for training data as many as 92 cloud type image with each type of 10 imagery. In this study obtained a system success rate of 60.6%.
IMPLEMENTATION OF MACHINE LEARNING USING THE K-NEAREST NEIGHBOR CLASSIFICATION MODEL IN DIAGNOSING MALNUTRITION IN CHILDREN Mutammimul Ula; Ananda Faridhatul Ulva; Ilham Saputra; Mauliza Mauliza; Ivan Maulana
Multica Science and Technology Vol 2 No 1 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i1.326

Abstract

The problem faced today is the lack of nutrition for children which causes stunting. One way to prevent stunting problems is to provide input to the community in Aceh for the importance of providing adequate nutrition for children. This study classifies toddlers who are identified as stunting with the K-NN model technology which is modeled in machine learning, the results are grouped. The purpose of this study was to determine the detection of malnutrition in toddlers and to classify data on malnutrition in toddlers using the k-means clustering method and the system that was built could be used as a reference to monitor the growth and development of children. Then in classifying malnutrition in children based on the results of the nutritional status criteria in toddlers, it can be known based on the index of Body Weight for Age (W/U), Height for Age (TB/U), and Weight for Height (W/TB). by entering data values ​​from weight, height and gender of toddlers. The purpose of this study was to determine the detection of malnutrition under five at the Cut Meutia Hospital Kab. North Aceh. The process in the initial data analysis of Mr. ID, baby's name, gender, age, weight (kg), height (cm), the data to be classified for training data are 40 children in each region / village. In the assessment of nutritional status, it is classified as Malnutrition less than 3 SD or 70%, Malnutrition - 3 SD to < - 2 SD or 80%, Good Nutrition -2 SD to +2 SD, Over Nutrition >+2 SD. The results of the final score obtained are euclidean distance with a value of 1.3 with a ranking of malnutrition, age 1.6 months, weight (weight) 0.852, TB (height) 4.556 with euclidean distance with a value of 1.3 with a low ranking. For the second test data, age is 2.8 months, BB (weight) 0.222, TB (height) 4.556 with Euclidean distance with a value of 1.3 with a good rating of 0.778. The results of this study can be classified in children to children for each region in each region, village and sub-district of each Puskesmas in North Aceh Regency
APPLICATION OF MACHINE LEARNING IN PREDICTING CHILDREN'S NUTRITIONAL STATUS WITH MULTIPLE LINEAR REGRESSION MODELS Mutammimul Ula; Ananda Faridhatul Ulva; Mauliza; Muhammad Abdullah Ali; Yumna Rilasmi Said
Multica Science and Technology Vol 2 No 2 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i2.363

Abstract

Forecasting is an important part of making plans and making decisions that can predict future events. Forecasting techniques in this study used multiple linear regression. This study aims to predict the number of cases of child nutritional status in children in each region. The purpose of this study was to see the results of predicting the number of children's nutritional status in each region and to make it easier to predict children's nutrition. The research method includes the analysis of the system built and the design of machine learning applications using the Multiple Linear Regression method. Then the system built can help predict the nutritional status of children in Aceh quickly, precisely, and accurately. The data used is data on the nutritional status of children in 2018, 2019, and 2020. Based on the results of forecasting for 2021 based on data obtained in previous years, the predicted results of total nutritional status in 2021 are 449,0912126. The results of this study indicate that the linear regression method obtains the best model results by being able to predict the implementation of machine learning.
LAMP MODIFICATION FROM HPLN TO LED TECHNOLOGY FOR SAVING ELECTRICAL ENERGY IN STREET LIGHTING Rosdiana Rosdiana; Arya Wiyangga Pradana; Muhammad Muhammad; Mutammimul Ula
Multica Science and Technology Vol 3 No 1 (2023): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v3i1.423

Abstract

Energy Efficiency is a business that is carried out with the aim of reducing the amount of energy needed, in using an equipment or even an energy-related system. In its development in the field of lighting, LED (Light Emitting Diode) lamps are now starting to be used as lighting lamps for homes, industries and factories. In Indonesia, the use of LED lamps in lighting is still rarely used, because the price of LED lamps is quite expensive when compared to ordinary lamps. With the saving of electric power through the use of LED lights, the problem of operational costs will be easy to overcome. Indeed, the price of this LED lamp is a little expensive, but with the research on the comparison of the use of this LED lamp with HPL-N type lamps, the industry will consider using this LED lamp with a generally accepted application method to reduce energy expenditure. The previous conditions for Jalan Dolok Merawan used HPLN 250 Watt lamps with a handlebar angle of 24,920 ornaments, the resulting light intensity was 2189 Candela, the intensity of the resulting lighting was 97.94 Lux and has now been changed to make it more optimal to use 120 Watt LED type lights, the height of the pole used is 4 meterss with an ornament handlebar angle of 24.920, light intensity of 1242 Candella, lighting intensity of 55.33 lux. The results of this illumination intensity are in accordance with the standard determined by BSN SNI regarding Collector road class 3-7 Lux. The results achieved after the process of modifying HPL-N lamps to LEDs are that they can reduce the use of electrical energy in the lighting system and achieve efficiency for electric power consumption so that they can provide added value to the company in reducing the company's operational costs.
Naïve Bayes Classification Algorithm Application on Nutritional Status of Pregnant Women in Lhokseumawe City Ilham Sahputra; Difa Angelina; Mutammimul Ula
Multica Science and Technology Vol 4 No 1 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i1.851

Abstract

The nutritional status of pregnant women is a measure of success in fulfilling nutrition for pregnant women. Poor nutritional status of pregnant women will cause an imbalance of nutrients which can cause nutritional problems in pregnant women. Therefore, we need a system that can predict the nutritional status of pregnant women. This can be implemented by utilizing the naïve Bayes classification algorithm. This research was carried out with the aim of further studying how to apply the Naïve Bayes algorithm to predict the nutritional status of pregnant women, and how the success of this application is based on the accuracy value of the resulting calculations. Based on data on the prevalence and condition of pregnant women in Lhokseumawe and calculations using a series of formulas for mean, standard deviation, probability, and gaussian values, it was found that 50 pregnant women were predicted to have normal nutritional status, while 19 others had nutritional status. not enough. From the results of the accuracy carried out, it was found that the error value (error) of the application used was 48% while the accuracy value of the application was 53% or low. That way, the calculation formula developed in this study needs to be further developed to encourage the accuracy of the application made so that the application results are reliable in real life.
Penerapan Media Pembelajaran Interaktif Berbasis Blended Untuk Meningkatkan Kualitas Belajar Siswa Di Smkn 3 Lhokseumawe Fitri, Zahratul; Akbar, Muhammad Zulfat; Ula, Mutammimul
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 5 No. 1 (2021): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2021
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v5i1.4857

Abstract

Pendidikan merupakan usaha sadar yang dilakukan peserta didik untuk mengembangkan segala potensi yang dimilikinya, Pendidikan memegang peranan penting untuk kelangsungan kehidupan suatu bangsa dalam meningkatkan dan mengembangkan kualitas sumber daya manusia, Keaktifan siswa dalam proses pembelajaran harus diperhatikan dan dipahami oleh setiap guru, sehingga guru dapat mengetahui sudah sejauh mana pemahaman siswa terhadap proses pembelajaran yang dilakukan oleh guru di kelas.Tujuan penelitian ini adalah untuk menerapkan interaktif learning berbasis pembelajaran blended untuk meningkatkan kualitas belajar siswa yang menitik beratkan pada model pembelajaran projek base learning(PjBL). Metode penelitian yang digunakan penelitian ini yaitu penelitian menggunakan tindakan kelas, penelitian ini dilaksakan dengan 3 unsur yaitu kelas, guru dan siswa yang menjadi titik focus penelitian, penelitian ini bersubjek siswa SMKN 3 Lhokseumawe berjumlah 42 siswa,Tahapan penelitian yaitu Observasi kelas, perencanaan tindakan kelas (tindakan luring dan daring), pengamatan kelas, dan refleksi hasil (Secara Daring). Hasil penelitian menunjukan Pembelajaran menggunakan model Pembelajaran Project Based Learning secara daring dan luring yaitu meningkatnya kualitas belajar siswa pada mata pelajaran simulasi digital dengan materi pengolahan kata, angka dan presentasi efektif, dengan data peningkatan dari sebelum menggunakan model pembelajaran ini yaitu rata kelas 49,52 menjadi 83 setelah menggunakan model pembelajaran Project based learning dengan interaktif learning dan nilai rata-rata kelas dari nilai 59,28 menjadi 86,38 setelahanya. Kata Kunci :Interaktif Learning, Pembelajaran Blended,Project Base Learning(PjBL) Kualitas Siswa
IMPLEMENTASI ALGORITMA LEVENSHTEIN DISTANCE DAN ALGORITMA KNUTH MORRIS PRATT PADA APLIKASI ASMAUL HUSNA BERBASIS ANDROID Fitrianti, Uli; Ula, Mutammimul
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 1 No. 2 (2017): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2017
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v1i2.243

Abstract

Perkembangan teknologi mobile phone memicu perkembanganaplikasi-aplikasi yang berbasis android. Salah satunya adalahperkembangan perangkat yang dapat memberikan informasi secarterangkum layaknya sebuah asmaul husna digital. Adanya aplikasasmaul husna yang terintegrasi dengan perangkat seluler akansangat mempermudah para pengguna dalam belajar dan mengingatentang 99 nama-nama asmaul husna yang telah terangkum dalambeberapa kategori bahasan dan dapat menutupi kekurangan darasmaul husna berbentuk buku yang kurang praktis baik dari segbentuk maupun dari segi kemampuan seperti pembelajaran terkainformasi tertentu masih harus dilakukan secara manual. AlgoritmLeveshtein Distance dan algoritma Knuth Morris Pratt merupakanalgoritma string matching. Pada penelitian tugas akhir ini penulimembuat suatu aplikasi asmaul husna menggunakan algoritmLevenshtein Distance dan algoritma Knuth Morris Pratt berbasiandroid yang dapat memberikan kemudahan bagi setiap orandalam belajar dan mengingat nama Allah SWT. Hasil dari penelitianini adalah penggunaan algoritma Levenshtein Distance untuk prosespengecekan ejaan jawaban yang diiputkan oleh pengguna danalgoritma Knuth Morris Pratt untuk proses pencocokan jawababerupa string yang sudah benar dengan string yang tersimpan dalamdatabase yang dapat memudahkan para pengguna mengetahui hasscore akhir jawaban yang benar dan jawaban yang salah.Kata kunci : String Matching, Levenshtein Distance, Knuth Morris PratAplikasi Asmaul Husna, Android
DATA MINING CLASSIFICATION ALGORITHMS FOR DIABETES DATASET USING WEKA TOOL Fitria, Rahma; Yulisda, Desvina; Ula, Mutammimul
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 5 No. 2 (2021): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2021
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v5i2.6236

Abstract

Data mining explores a huge amount of data to extract the information to be meaningful. In the field of public health, data mining hold a crucial contribution in predicting disease in early stage. In order to detect diseases, the patients need to conduct various tests. In the context of disease predicion, Data mining techniques aims to reduce the test that patients need to accomplish. Also the techniques is used to increase the accuracy rate of detection. Nowadays, diabetes attacks many adults in the world. Moreover, in order to reduce the number of adult having diabetes, an effective and efficient diabetes detection mechanism should be found. This report will apply some data mining techniques on diabetes dataset that has been downloaded at UCI Machine Learning Repository.Three kind of classification algorithm such as Naïve Bayes Classifier, Multilayer Perceptrons (MLPs) and Desicion Tree (J.48) have been performed on this dataset. Obtained outcomes indicated that Naïve Bayes Classifier achieved the highest accuracy with 76,30%. As the result, this algorithm is a good method to classify and diagnose diabetes diseases on studying dataset.
SISTEM INFORMASI GEOGRAFIS PENCARIAN RUTE TERPENDEK MENUJU RUMAH SAKIT DENGAN MENGGUNAKAN METODE ALGORITMA DIJKSTRA Kurniawan, Rahmat; fachrurrazi, sayed; Ula, Mutammimul
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 4 No. 2 (2020): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2020
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v4i2.6291

Abstract

Pencarian rute terpendek menuju rumah sakit umum se-provinsi aceh ini menggunakan algoritma dijkstra yang bertujuan memberikan rekomendasi kepada masyarakat dalam pencarian rute terpendek menuju lokasi rumah sakit umum diwilayah Provinsi Aceh. Permasalahan utama dalam pencarian rute terpendek ini adalah mencari solusi paling efektif yang dapat diterapkan dalam persoalan yang dihadapi. Pada penelitian ini menggunakan penelitian deskriptif yaitu penelitian yang berorientasikan pemecahan masalah, serta perancangan desain sistem menggunakan metode UML. Aplikasi ini dibuat dengan menggunakan Code Editor yakni Visual Studio Code. Informasi rumah sakit sepenuhnya hanya terkait dengan data yang dimasukkan kedalam server database dan hasil dari aplikasi ini menampilkan lokasi rumah sakit terdekat dengan waktu tempuh dan jarak menuju rumah sakit beserta jalur atau rute menuju rumah sakit terdekat dengan titik lokasi pengguna. Dan dari aplikasi yang dijalankan didapatkan rumah sakit terdekat pada titik awal/ lokasi pengguna dari kampus UNIMAL di Bukit Indah ialah Rumah Sakit Umum Arun dengan jarak 4,0 km dan waktu tempuh 10 menit.
Perancangan Sistem Informasi Geografis Untuk Optimasi Penyebaran Pemasangan Wifi Dan Optical Distribution Point (Odp) Pada Telkom Kandatel Lhokseumawe Fauzi, Sri Wahyuni; Ula, Mutammimul; Badriana, Badriana; Sahputra, Ilham
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 8 No. 1 (2024): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2024
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v8i1.18155

Abstract

Dalam era kemajuan teknologi yang pesat, kebutuhan akan informasi yang akurat, cepat, dan berkualitas semakin penting. Telkom Kandatel Lhokseumawe menghadapi tantangan dalam proses pemesanan dan pemasangan wifi di rumah calon pelanggan. Metode konvensional yang melibatkan kunjungan langsung ke kantor, survei oleh teknisi, dan pemetaan calon pelanggan melalui situs MyMaps terbukti kurang efisien. Penelitian ini bertujuan untuk merancang Sistem Informasi Geografis (SIG) guna mengoptimalkan strategi penyebaran infrastruktur telekomunikasi seperti pemasangan wifi dan Optical Distribution Point (ODP). SIG ini dirancang untuk memberikan gambaran menyeluruh tentang topografi, kebutuhan jaringan telekomunikasi, kondisi geografis, tingkat kepadatan populasi, serta pola penggunaan layanan telekomunikasi di setiap wilayah. Dengan adanya SIG, Telkom Kandatel Lhokseumawe diharapkan dapat mengurangi biaya pemasangan infrastruktur, mencapai target penjualan, memperluas pangsa pasar, serta meningkatkan efisiensi operasional dan pelayanan. Implementasi SIG tidak hanya memperbaiki proses internal, tetapi juga meningkatkan kepuasan pelanggan melalui layanan yang lebih cepat dan akurat. Dengan demikian, SIG menjadi alat penting dalam menghadapi tantangan dan memanfaatkan peluang di era digital. Melalui SIG, pengambilan keputusan berbasis data menjadi lebih mudah, sehingga strategi pemasaran dan operasional dapat disesuaikan dengan kebutuhan dan kondisi pasar secara tepat. Hal ini akan membawa dampak positif bagi perkembangan Telkom Kandatel Lhokseumawe dalam jangka panjang. SIG yang efektif akan menjadi kunci untuk mengoptimalkan sumber daya, meningkatkan kepuasan pelanggan, dan memperkuat posisi Telkom Kandatel Lhokseumawe dalam industri telekomunikasi yang semakin kompetitif. Penelitian ini menggarisbawahi pentingnya inovasi teknologi untuk mendukung pertumbuhan dan efisiensi perusahaan, serta memberikan pelayanan terbaik kepada pelanggan di tengah perkembangan zaman yang terus berubah. Dengan SIG, Telkom Kandatel Lhokseumawe dapat lebih responsif terhadap dinamika pasar dan kebutuhan pelanggan, sehingga mampu mempertahankan keunggulan kompetitifnya.
Co-Authors - Fakhrurrazi -, Badriana -, Bakhtiar ., Muthmainah Abdi Zulfikri Achmad Rizal, Reyhan Ade Irfan Ade Luky Setiawan Agi Ayu Nurdianta Barus Akbar, Muhammad Zulfat Amri, Fajar Ananda Faridhatul Ulva Andik Bintoro Angga Pratama Angga Pratama ANNISA KARIMA Ar Razi Arief Rahman Arief Rahman Arnawan Hasibuan Arpika, Asma Mauli Arya Wiyangga Pradana Asbar, Yuli Asma Mauli Arpika Asmawi Asran Asrianda Asrianda Azhari SN Badriana, Badriana Bakhtiar Bakhtiar Bambang Suhendra Barus, Agi Ayu Nurdianta Budi Setiawan Burhanuddin Burhanuddin Bustami Bustami Bustami Cinni Ujung, Yella Cut Agusniar Cut Dewi Aida Soraya Cut Ita Erliana Dewi, Apriandini Sri Difa Angelina EDI YUSUF, EDI Elfiana Emi Maulani Eri Saputra Ericky Benna Perolihin Manurung Ermatita - Ermatita Ermatita Eva Darnila Eva Darnila eva darnila, eva darnila Ezwarsyah Ezwarsyah Fachrurrazi Fachrurrazi Fadillah, Tengku Farhan Fadliani Fadlisyah Fadlisyah Fadlisyah Fahrizal, Effan Fahrozi, Fazar Fahrozi, Mahlil Fajar Tri Tri Anjani Fajri, Riyadhul Fajriana, Fajriana Fakhrurrazi Fakrurrazi Fakrurrazi Fakrurrazi Fasdarsyah Fathia Fauzi, Sri Wahyuni Febryanda, Inne Fidyatun Nisa Fitriana Fitriana Fitrianti, Uli Fuadi, Wahyu Fyanda, Dwi Auji Gita Perdinanta Hadi Riyadi Hafizh Al Kautsar Aidilof Hasbi, Maulida ilham - sahputra Ilham Sahputra Ilham Sahputra Ilham Sahputra Ilham Sahputra Ilham Saputra Ilham Saputra Ilham Saputra Ilham Saputra Ilham Saputra Indradewa, Rhian Iramadhani, Dwi Irhamna, Ayu Irma Yurni Irwansyah, Defi Iswadi Iswadi Ivan Maulana Iwan Pahendra Iwan Pahendra Iwan Pahendra Anto Saputra Juandana, Rio Adian Juniwan Ginting Laila, Dwi Nur'aini Mahdaliana, Mahdaliana Maryana Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza, Ade Mauliza, Mauliza Mauliza, Mauliza Mochamad Ari Saptari Muarif Qumar Muhammad Abdullah Ali Muhammad Abdullah Ali Muhammad Danil Muhammad Fauzan Muhammad Hatta Muhammad Ichwan Muhammad Ikhsan Muhammad Ikhwani Muhammad Muhammad Muhammad Muhammad Muhammad Rahmad Zainal Muhammad Rizka, Muhammad Muhammad Sadli Muhammad, Muhammad Multazam, T Mulyadi Mulyadi Munirul Ula Muthmainnah Muthmainnah Mutmainnah Mutmainnah Nadya Hayana Nasriah Nasriah Nasriah Nasriah Nasution, Fakruddin Ahmad Nayla Husna, Siti Nur Faliza Nur Hafni Nurdin Nurdin Nurfebruary, Nanda Sitti Nurmalina Nurmalina, Nurmalina Pahendra, Iwan Purba, Nur Alfi Rahma Fitria, Rahma Rahmat Kurniawan Rayhan Rahul Mutuahmi Razif, Razif Renardi, Renardi Reyhan Achmad Rizal Reyhan Achmad Rizal Reyhan Achmad Rizal Ria Zulhusna Richki Hardi Ridha Maulana Ridwan Ridwan Risawandi, Risawandi Riyadhul Fajri Rizal Tjut Adek Rizal, Reyhan Achmad Rizki Putra Fhonna Rizky Putra Fhonna Rizky Putra Phonna Rizky Zuliyansyah Rofiq Harun Rosdian Rosdian dian rosdian Rosdiana Rosdiana Rosdiana Rosdiana Rosdiana Rosdiana Rosya Afdelina Rozzi Kesuma Dinata Safriana Safriana Sahputra, Ilham Salahuddin Salahuddin Salahuddin Salamah Salamah Salamah Salamah Salamah Saptari, Mochamad Ari Saputra, Ilham Satriawan, Ivan Sayed Fachrurrazi Sayed Fachrurrazi Setiawan, Ade Luky Shayravi Shayravi Shayravi, Shayravi Siregar, Dinda Saima Agustina Siti Aminah Siti Atikah Nabila Suheri Sujacka Retno Sukiman, T. Sukma Achriadi Suriyanto Suriyanto Suryati Suryati Susanti Susanti syarifah asria nanda, syarifah asria Syibral Malasyi Syukriah Syukriah, Syukriah Tengku Farhan Fadillah Teuku Zulkarnaen Tiara Razaqa Sakinah Tsania Asha Fadilah Daulay Ulva , Ananda Faridhatul Ulya, Athiyatul Umaruddin Usman Vera Novalia Veri Ilhadi Wahyu Fuadi Yella Cinni Ujung Yulisda, Desvina Yumna Rilasmi Said Yumna Rilasmi Said Yurni, Irma Yusniar Yusniar Zahratul Fitri Zahratul Fitri Zahratul Fitri, Zahratul Zainal Abidin Zikrina Zikrina Zul Akli Zulfia , Anni Zulfikri, Abdi Zuraida Zurhijjah Zurhijjah