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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 Poros Onim Jurnal Tika Multica Science and Technology Andalasian International Journal of Applied Science, Engineering, and Technology Mejuajua 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.
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
IMPLEMENTASI FUZZY TIME SERIES PADA PERAMALAN PENJUALAN TABUNG GAS LPG DI UD. SAMUDERA LPG LHOKSEUMAWE Fyanda, Dwi Auji; Ula, Mutammimul; Asrianda, Asrianda
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 1 No. 1 (2017): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2017
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v1i1.249

Abstract

UD. Samudera LPG merupakan toko yang menjual tabung gas lpg 3 kg. Hal iniditunjukkan dalam pengelolaan data penjualan tabung gas yang ada masihdilakukan secara manual sehingga kurang efektif dalam kinerjanya, maka dari ituUD. Samudera Lpg membutuhkan suatu sistem yang bisa mengelola semuatransaksi dengan efisien. Permasalahan yang dihadapi dalam mengadakan analisispermintaan terutama permintaan tabung gas adalah mengukur permintaansekarang dan meramalkan kondisi tersebut pada masa yang akan datang. MetodeFuzzy Time Series akan diimplementasikan untuk meramalkan banyaknyapermintaan tabung gas 3 kg untuk bulan selanjutnya berdasarkan dari datahistoris yang ada. Perumusan masalah bagaimana cara merancang danmengimplementasikan suatu sistem yang berfungsi sebagai alat bantu penentuanjumlah permintaan barang terutama tabung gas lpg 3 kg, agar tidak merugikanperusahaan dan bagaimana mengimplementasikan metode Fuzzy Time Seriesdalam penentuan jumlah persediaan barang berupa tabung gas lpg 3 kg. Padapenelitian ini, peramalan penjualan dengan menggunakan Fuzzy Time Seriesberdasarkan data penjualan dengan menggunakan metode fuzzy time seriesberdasarkan data penjualan tahun 2013 sampai dengan 2016. Variabel input yangdigunakan dalam penelitian ini yaitu variabel permintaan, persediaan danpenjualan, sementara untuk variabel outputnya yaitu hasil peramalan. Hasil akhirdari proses Fuzzy Time Series ini akan menghasilkan jumlah peramalan untukkedepannya, kemudian keakuratan peramalan dapat dihitung dengan mencari nilaierror sistem dengan AFERKata Kunci : Forecasting, fuzzy time series, Tabung gas
SISTEM PENCARIAN RUTE TERPENDEK PENDISTRIBUSIAN PRODUK MENGGUNAKAN ALGORITMA HILL CLIMBING SEARCH di CV DUTA EXPRESS Renardi, Renardi; Ula, Mutammimul
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 1 No. 1 (2017): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2017
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v1i1.254

Abstract

Dalam pemilihan rute terpendek, metode pemilihan rute yang umum digunakanadalah jarak terpendek yaitu jarak minimum yang diperlukan oleh suatu alattransportasi untuk mencapai suatu tempat dari tempat tertentu dan kembali ketempat asal yang didasarkan pada jarak terpendek, biaya termurah dan waktutercepat. Penelitian ini pencarian rute terpendek menggunakan Algoritma HillClimbing, karena pada dasarnya Algoritma Hill Climbing mencari penyelesaiansecara menyeluruh bukan per point saja. Disini Algoritma Climbing akanmenyelesaikan permasalahan secara menyeluruh, dengan demikian diharapkandiperoleh hasil yang seoptimal mungkin. Dari permasalahan ini bagaimanamenentukan rute yang tepat sehingga pendistribusian tersebut dapat sampai ketempat tujuan dalam waktu yang singkat dan efisien dan bagaimanamengimplementasikan dan mencari solusi optimasi pendistribusian Produkberdasarkan Algoritma Hill Climbing Search. Sistem ini bertujuan Untukmemberikan informasi jalur terpendek pendistribusian produk di CV DutaExpress, dan dapat dipergunakan secara mudah oleh pihak-pihak yangberkepentingan dengan sistem ini.Kata kunci : Jalur, algoritma Hill Climbing, Rute Terpendek
Increasing Productivity in CPO Production Using The Objective Matrix Method Irwansyah, Defi; Erliana, Cut Ita; Fadlisyah, Fadlisyah; Ula, Mutammimul; Fahrozi, Mahlil; Harun, Rofiq
International Journal of Engineering, Science and Information Technology Vol 2, No 2 (2022)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.087 KB) | DOI: 10.52088/ijesty.v2i2.232

Abstract

PT. Ika Bina Agro Wisesa (IBAS) is a company that produces products in the form of crude oil or CPO (Crude Palm Oil). The company sets a minimum production target of FFB that must be processed to reach 30 tons in one boiling with a minimum production target of 600 tons/day. The company is required to increase productivity. The problem so far is that the company has never measured the productivity of the production process, which will then affect the achievement of production targets. Measurement of productivity is critical because the measursizeoductivity can determine whether the company meets productivity targets for production or not. Therefore, it is necessary to measure productivity to assess the value of productivity and efforts to increase productivity in CPO production and how to increase productivity in CPO production and efforts to increase productivity using the Objective Matrix (OMAX) method at PT. Ika Bina Agro Wisesa. Analysis of productivity using the OMAX method, ratio 3 (labor productivity) and ratio 4 (machine productivity) has a very high percentage of poor performance, which means that ratio and 4 have an insufficient level of productivity. Unlike the case with the achievement of productivity ratio 1 (productivity of raw materials) and ratio 2 (productivity of working hours) wh, ich shows a low percentage of poor performance, which means that the productivity level of ratio one and ratio 2 has a better productivity level than ratio three and ratio 4 Analysis The results of the productivity index in the company decreased and increased for each month, in November it experienced a decrease of -79.49, while in December it experienced a significant increase in the amount of 595.02 and January at 69.98. in February decreased to -23.63. Furthermore, productivity in March - September 2021 was unstable, with an increase and dropped for July, a decrease of -0.64 and, a slight increase in August of 0.28.
Meningkatkan Penulisan Karya Tulis Ilmiah dan Publikasi Guru di SMA Negeri 1 Lhokseumawe Ula, Mutammimul; Badriana, Badriana; Dinata, Rozzi Kesuma; Bintoro, Andik; Fuadi, Wahyu
Jurnal Malikussaleh Mengabdi Vol. 2 No. 1 (2023): Jurnal Malikussaleh Mengabdi, April 2023
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v2i1.12357

Abstract

Peningkatan penulisan karya tulis ilmiah guru dapat dilihat dari berapa banyaknya tulisan/karya yang dihasilkan yang sesuai kompetensi yang dimiliki. Guru tidak hanya mengajar siswa di kelas namun juga dituntut untuk dapat menuliskan gagasan atau ide yang dapat dituangkan dalam tulisan yang dipublish di buku maupun jurnal ilmiah baik itu terakreditasi nasional maupun internasional. Salah satu ragam Dewasa ini kompetensi seseorang bisa dilihat dari berapa banyaknya tulisan yang dia buat sesuai kompetensi yang dimiliki. Tujuan pengabdian ini adalah untuk dapat meningkatkan kemampuan menulis dan pengembangan profesi guru yang dipublish di buku maupun jurnal ilmiah baik itu terakreditasi nasional maupun internasional. Metode pelaksanaan pengabdian ini dengan menggunakan library research. Dengan adanya pelaksaan pengabdian ini dapat meningkatkan kemampuan profesionalisme guru sekaligus memperbaiki kualitas pembelajaran dalam mengajar dengan siswa dikelas. selanjutnya publikasi ilmiah bagi guru sebagai prasyarat dalam kenaikan pangkat dan jabatan sehingga memberikan motivasi yang lebih kepada guru untuk dapat membuat karya ilmiah yang lebih berkualitas. Hasil dari pelaksanaan pengabdian ini Dapat menjadi acuan dalam membuat publikasi guru dan dapat menjadi salah satu syarat kenaikan pangkat dan jabatan guru. Eksistensi kompetensi guru bersangkutan dan juga mengembangkan dan menyebarluaskan keilmuan. Kemudian dengan adanya  pelatihan penulisan karya ilmiah bagi guru-guru dapat meningkatkan publikasi imiah bagi guru-guru tersebut. Kegiatan ini dapat membantu peserta guru dalam  menyusun  dan  memperbaiki kerangka  artikel  yang telah dibuat sebelumnya sehingga telah disertakan materi dan wawasan secara teknis maupun teoretis mengenai cara menulis jurnal yang akan diterbitkan jurnal nasional akreditasi.
Co-Authors -, Badriana -, Bakhtiar ., Muthmainah Abdi Zulfikri Achmad Rizal, Reyhan Ade Irfan Ade Luky Setiawan Agi Ayu Nurdianta Barus Ahmad Nashir Ananda Faridhatul Ulva Andik Bintoro Angga Pratama Angga Pratama ANNISA KARIMA Apriandini Sri Dewi Ar Razi Arief Rahman Arief Rahman Arnawan Hasibuan Arpika, Asma Mauli Arya Wiyangga Pradana Asbar, Yuli Asma Mauli Arpika Asmawi Asran Asrianda Asrianda Ayu Irhamna Azhari SN Badriana, Badriana Bambang Suhendra Barus, Agi Ayu Nurdianta Budi Setiawan Burhanuddin Burhanuddin Burhanuddin Burhanuddin Bustami Bustami Bustami Cinni Ujung, Yella Cut Agusniar Cut Dewi Aida Soraya Cut Ita Erliana Difa Angelina Dinda Saima Agustina Siregar 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 Amri Fajar Tri Tri Anjani Fajri, Riyadhul Fajriana, Fajriana Fakhrurrazi Fakhrurrazi Fakrurrazi Fakrurrazi Fakrurrazi Fasdarsyah Fathia Fauzi, Sri Wahyuni Fidyatun Nisa Fitriana Fitriana Fitrianti, Uli Fuadi, Wahyu Fyanda, Dwi Auji Gita Perdinanta Hadi Riyadi Hafizh Al Kautsar Aidilof ilham - sahputra Ilham Sahputra Ilham Sahputra Ilham Sahputra Ilham Sahputra Ilham Saputra Ilham Saputra Ilham Saputra Ilham Saputra Ilham Saputra Indradewa, Rhian Inne Febryanda Iramadhani, Dwi Irma Yurni Irwansyah, Defi Iswadi Iswadi Ivan Maulana Iwan Pahendra Juandana, Rio Adian Juniwan Ginting Laila, Dwi Nur'aini Mahdaliana, Mahdaliana Maryana Maulida Hasbi Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza, Ade Mauliza, Mauliza Mauliza, Mauliza Miro, Abbas Baco Mochamad Ari Saptari 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 Zulfat Akbar Muhammad, Muhammad Multazam, T Mulyadi Mulyadi Munirul Ula Muthmainnah Muthmainnah Mutmainnah Mutmainnah Nadya Hayana Nanda Sitti Nurfebruary Nasriah Nasriah Nasriah Nasriah Nasution, Fakruddin Ahmad Nayla Husna, Siti Nur Alfi Purba Nur Faliza Nur Hafni Nurdin Nurdin Nurfebruary, Nanda Sitti Nurmalina Nurmalina Rahma Fitria Rahmad Hidayat 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 Rizky Putra Fhonna Rizky Zuliyansyah Rofiq Harun Rosdian Rosdian dian rosdian Rosdiana Rosdiana Rosdiana Rosdiana Rosdiana Rosdiana Rosya Afdelina Rozzi Kesuma Dinata Safriana Safriana Salahuddin Salahuddin Salamah Salamah Salamah Salamah Salamah Saptari, Mochamad Ari Saputra, Ilham Satriawan, Ivan Sayed Fachrurrazi Sayed Fachrurrazi Sayed Fachrurrazi Setiawan, Ade Luky Shayravi Shayravi Shayravi, Shayravi Siti Aminah Siti Atikah Nabila Sri Wahyuni Fauzi Sri Wahyuni Fauzi Suheri Sujacka Retno Sukatin, Sukatin Sukiman, T. Sukma Achriadi Suriyanto Suriyanto Suryati Suryati Susanti Susanti Syarifah Asria Nanda Syibral Malasyi Syukriah Syukriah 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