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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) JURNAL PENGABDIAN KEPADA MASYARAKAT Sinkron : Jurnal dan Penelitian Teknik Informatika Tech-E RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Nizhamiyah JurTI (JURNAL TEKNOLOGI INFORMASI) Query : Jurnal Sistem Informasi Zero : Jurnal Sains, Matematika, dan Terapan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) Jurnal Teknologi Sistem Informasi dan Aplikasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Journal on Education JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Kridatama Sains dan Teknologi Progresif: Jurnal Ilmiah Komputer Jurnal Ilmu Komputer dan Bisnis Aisyah Journal of Informatics and Electrical Engineering Jatilima : Jurnal Multimedia Dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH JINAV: Journal of Information and Visualization Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Responsif : Riset Sains dan Informatika Syntax: Journal of Software Engineering, Computer Science and Information Technology Journal La Multiapp Jurnal Abdi Mas Adzkia Fitrah: Journal of Islamic Education KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Information Technology (JIfoTech) Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Dinda : Data Science, Information Technology, and Data Analytics International Journal Software Engineering and Computer Science (IJSECS) Journal of Computer Science and Informatics Engineering Al-Khidmah Jurnal Pengabdian Masyarakat sudo Jurnal Teknik Informatika Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Nasional Teknologi Komputer NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Journal of Computers and Digital Business SWARNA Sewagati: Jurnal Pengabdian Masyarakat Indonesia DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Information Technology Education Journal JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI (JISI) Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science Cosmic Jurnal Teknik Journal of Digital Technology and Computer Science
Ilka Zufria
Universitas Islam Negeri Sumatera Utara
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PENERAPAN ALGORITMA COLLABORATIVE FILTERING UNTUK REKOMENDASI SKEMA VSGA LANJUTAN DI BBPSDMP KOMINFO MEDAN Aulia, Muhammad Fathir; Sitorus, Nur Shafwa Aulia; Zufria, Ilka
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i1.2685

Abstract

Sistem rekomendasi membantu pengguna memilih alternatif terbaik berdasarkan data interaksi, terutama dalam konteks pelatihan dalam hal pendidikan. Salah satu metode yang digunakan adalah Collaborative Filtering, yang bekerja dengan menganalisis pola preferensi melalui rating pengguna. Penelitian ini bertujuan mengembangkan sistem rekomendasi berbasis Collaborative Filtering pada program Vocational School Graduate Academy (VSGA) untuk membantu lulusan memilih skema pelatihan yang sesuai dengan kebutuhan mereka. Dua metode utama diterapkan, yaitu Pearson Correlation dan Cosine Similarity. Pearson Correlation mengukur kesamaan pola preferensi melalui perhitungan rata-rata, sementara Cosine Similarity menghitung kemiripan antar pengguna dengan pendekatan vektor. Adapun dataset sebanyak 50 data yang digunakan yaitu dataset rating dari masing-masing skema pelatihan VSGA sebanyak 45 data dan menggunakan 5 data pembanding untuk di uji, untuk mencari rekomendasi pada 2 data. Sistem ini dibangun menggunakan Python dengan pustaka Pandas, NumPy, dan scikit-learn. Hasil pengujian menunjukkan bahwa kedua metode memberikan rekomendasi akurat sesuai skenario tertentu. Sistem ini diharapkan membantu lulusan menemukan pelatihan relevan, meningkatkan kualitas pembelajaran, dan mempersiapkan mereka menghadapi era industri 4.0. Kata kunci: Collaborative Filtering; Pearson Correlation; Cosine Similarity; Sistem Rekomendasi; Algoritma
Penerapan Metode ANP dan BORDA Dalam Sistem Pendukung Keputusan Pendistribusian Zakat Pada Badan Amil Zakat Kota Medan Nst, Aila Oktavia Abdul; Zufria, Ilka
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i2.644

Abstract

The process of collecting and distributing zakat is currently managed by an institution called the Amil Zakat Agency (BAZ) which is spread throughout Indonesia, including in the city of Medan. The Amil Zakat Agency in Medan City is called Baznas Medan City. Medan City Amil Zakat Agency (Baznas) is an amil body that is responsible for the collection, distribution and management of zakat in Medan City. This study applies the ANP and BORDA methods in the zakat distribution SPK at the Medan City Baznas. In producing a decision support system in selecting who is entitled to receive zakat in Medan City using the ANP and BORDA methods. The data obtained will later be used in system development. System development means creating a new system to completely replace the old system or improve the existing system. Selection of Baznas Recipient Candidates in this system will produce a ranking based on ANP and Borda calculations. The SPK at the Medan City Baznas using the ANP and BORDA methods was successfully designed and built based on the terms and conditions set by the relevant parties. This system can make it easier for staff or officers at the Medan City Baznas to select mustahik who are the most appropriate and eligible to receive assistance from the Medan City Baznas. Based on the results of the Black Box test, the features of the Decision Support System for zakat recipients that were built went very well and it can be concluded that each form of this system has met expectations in minimizing errors whether invalid data or errors in data input
Text Mining Sentiment Analysis on Mobile Banking Application Reviews using TF-IDF Method with Natural Language Processing Approach Bimantara, Muhammad Dhuha; Zufria, Ilka
JINAV: Journal of Information and Visualization Vol. 5 No. 1 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav2772

Abstract

As part of its efforts to improve digital banking services, PT Bank Rakyat Indonesia (Persero) Tbk (BRI) has launched a mobile banking application called BRImo. This move is in line with the global trend where financial institutions are increasingly focusing on digitalization to meet the evolving needs of customers who demand faster and more efficient accessibility to banking services. BRImo comes as an innovative solution to provide a better banking experience to BRI customers. This research was conducted to find out the reviews of the BRImo application on the App markets google playstore, In BRImo mobile banking's efforts to remain competitive with other mobile banking applications, understanding positive and negative reviews from users is very important. The fundamental issue that must be addressed is how to analyze positive reviews to strengthen the advantages of the BRImo app and identify negative reviews to address weaknesses that may hinder its competitiveness. This research was conducted to find out the reviews of the BRImo application on the App markets google playstore, In BRImo mobile banking's efforts to remain competitive with other mobile banking applications, understanding positive and negative reviews from users is very important. The method used in the calculation is TF-IDF and NLP approach and the calculation of SVM algorithm is trained using training data. The calculation results show that the model has an accuracy of 92%. or Precision Score of about 92%, Recall Score has 100% and F1 Score has 0.95 or approximately 95%.
Implementation of Android-Based Flutter Framework and Waterfall Method in Building Marketplace Applications (MariUmroh) Mardiah Ramadhani; Ilka Zufria; Ali Ikhwan
Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 4 No 2 (2024): August
Publisher : Research Group of Data Engineering, Faculty of Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/dinda.v4i2.1594

Abstract

The MariUmroh application is an Android-based Umrah and Hajj travel marketplace application designed specifically to bring together sellers and buyers in one digital platform. The MariUmroh marketplace application aims to make it easier for prospective pilgrims and Umrah and Hajj travel companies to interact, transact, and promote their products online. In its business processes, the MariUmroh application uses a B2C (Business to Customer) business model. Where business activities are carried out by travel admins to customers using electronic media directly. The development of the Android-based MariUmroh application is built with the Flutter Framework which uses the Dart programming language. In building the MariUmroh marketplace application, the development system uses the waterfall method, in its creation it begins with needs analysis, system design, program code writing, program testing, program implementation and maintenance. In the MariUmroh application which offers various Umrah and Hajj travel packages to the wider community easily and more efficiently, and sellers easily promote their products and don't have to worry about losing consumers, the features provided by the application are also very useful for pilgrims during their worship at holy land. In building this application, MySQL is used as a database for data storage. Keywords: Marketplace, Umrah and Hajj travel, flutter framework, Waterlfall
Prediksi Kelulusan Mahasiswa Strata 1 (S1) Menggunkan Metode C5.0 di Program Studi Ilmu Komputer Ba’ayesh, Mubarak; Zufria, Ilka
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.6018

Abstract

Timely graduation is a crucial indicator of the success of study programs in higher education. However, in the Computer Science Study Program at UIN Sumatera Utara, the number of students graduating on time is relatively low. This study aims to predict student graduation using the C5.0 algorithm, a part of Decision Tree, to classify students who graduate on time and those who graduate late. The data used includes GPA scores from semesters 1 to 4, total credits (SKS), final project duration, study period, and entry pathway. From 100 data samples, the model was tested using a 70:30 data split ratio. The evaluation results showed that the prediction model using the C5.0 algorithm achieved 100% accuracy, with Precision, recall, and f1-score values of 1.00 for both classes, namely "On Time" and "Late." This research demonstrates that the C5.0 algorithm can accurately predict student graduation and assist the university in developing strategies to improve timely graduation rates.
Penerapan Metode AHP dan SAW Pada Sistem Pendukung Keputusan Untuk Menentukan Pengalokasian Dana BOS Gina Sania; Ilka Zufria; M. Fakhriza
Journal of Information Technology Vol 4 No 1 (2024): Journal of Information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v4i1.869

Abstract

SMP N 7 Padang Sidempuan encountered challenges in optimally allocating the School Operational Assistance Fund (BOS). The school's administration faced difficulties in determining the prioritization of fund usage during each period. The suboptimal utilization of the BOS could impede the achievement of national educational objectives and have adverse effects on human resource capabilities. This study combined theAHP and SAW algorithms to determine the priority allocation of the School Operational Assistance Fund (BOS). The objective was to develop a web-based Decision Support System for budget management at SMP Negeri 7 Padang Sidempuan. With this approach, a system capable of determining the priority sequencefor BOS allocation based on its components was established. The research resulted in an integrated decision support system in the form of a website. This system effectively determined the priority sequence for BOS allocation based on various relevant components. With the implementation of this system, SMP N 7 Padang Sidempuan successfully managed the BOS, thereby maximizing its impact on improving the quality of education.
Penerapan Metode Naïve Bayes Untuk Mendiagnosis Penyakit Pohon Karet Di PT. Bridgestone Aek Tarum Efriliya Hafni Yuswinda; Ilka Zufria; Ismail Husein
Journal of Information Technology Vol 4 No 1 (2024): Journal of Information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v4i1.876

Abstract

Penyakit tanaman karet menyerang akar, batang, daerah sadap, dan daun. Faktor penyebab rendahnya perkebunan karet adalah karena keterbatasan informasi dan pengendalian penyakit pohon karet, sehingga perlu adanya suatu sistem untuk meningkatkan pengendalian penyakit pohon karet dengan bantuan sistem ini. Saat ini tanpa adanya sistem hanya di selesaikan oleh seorang pakar yang dianggap berhasil jika mampu mengambil keputusan seperti seorang pakar. Pembuatan sistem ini dapat membantu seorang pegawai dalam mendiagnosa penyakit pada tanaman karet. Pembuatan sistem ini diperlukan seorang yang ahli dalam bidangnya untuk mendapatkan data yang akurat mengenai informasi penyakit tanaman karet, data yang digunakan yaitu 22 gejala dan 7 penyakit. Pada penelitian ini metode yang digunakan adalah Naive Bayes. Metode Naive Bayes bekerja dengan cara mencari nilai probabilitas munculnya penyakit tanaman karet. Aplikasi ini dikembangkan berbasis Android dengan menggunakan bahasa pemrograman Java pada aplikasi Android Studio. Dari penelitian ini di dapati bahwa penyakit jamur akar putih mempunyai 7 gejala dan pilihan tingkat keyakinan dalam setiap gejala antara 0 dan 1. Kemudian penyakit jamur akar putih mempunyai hasil nilai yang paling terbesar yaitu 0,0000002911.
Application of Data Mining with C5.0 Algorithm to Recommend Prosperous Family Card (KKS) Recipients Fadilla, Nurul; Zufria, Ilka; Fakhriza, M.
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 2 (2025): Research Article, Volume 7 Issue 2 April, 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i2.5913

Abstract

Poverty is a social problem that still often occurs in various regions in Indonesia, including in Silau Laut District which consists of several villages such as Bangun Sari, Silo Bonto, Silo Lama, Lubuk Palas, and Silo Baru. Although the area is quite large, there are still many families who are classified as poor and unable to meet their basic needs. To overcome this, the government launched the Prosperous Family Card (KKS) program as a form of social assistance. However, the process of determining prospective KKS recipients still faces various obstacles, such as a random selection method based on data sent by each village to the central government. This raises concerns about the inaccuracy of the target in the distribution of aid, so that the aid is not received by families who really need it. In addition, a lot of data has not been utilized optimally in the selection process. Therefore, this study aims to design a website-based information system that can help Silau Laut District in providing recommendations for prospective KKS assistance recipients by utilizing data mining techniques. The algorithm used is C5.0, because it is able to produce a decision tree with high accuracy, while the system development method used is Rapid Application Development (RAD) to accelerate the system development process. The result of this research is an information system that can process community data and provide recommendations for prospective KKS assistance recipients in a more objective and targeted manner in the next period.
Implementasi Algoritma Apriori dan FP-Growth untuk Rekomendasi Produk Guna Meningkatkan Penjualan pada Toko (Studi Kasus: Warung Sidorukun) Kesuma, Beny; Zufria, Ilka; Rusydi, Ibnu
sudo Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Edisi Maret
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/sudo.v4i1.783

Abstract

Warung Sidorukun adalah sebuah usaha yang bergerak dalam bidang penjualan. Produk yang dijual sangat banyak, di antaranya sembako, rokok, makanan ringan, minuman, dan lain sebagainya. Masalah yang terjadi adalah Warung Sidorukun tidak mengetahui pola transaksi yang dilakukan pelanggan dalam pembelian produk sehingga sulit dalam menyusun produk pada rak tertentu yang dapat mempermudah pelanggan menemukan produk yang biasa dibeli. Oleh karena itu, dibutuhkan sebuah cara yang dapat membantu Warung Sidorukun dalam melakukan penggalian data dan mengetahui pola transaksi yang dilakukan pelanggan dalam pembelian produk. Penelitian ini membandingkan algoritma apriori dengan FP-Growth untuk memberikan hasil perbandingan terhadap pencarian rekomendasi produk Warung Sidorukun. Aplikasi ini memberikan dua hasil, yaitu Apriori menghasilkan pola pembelian dan FP-Growth menghasilkan pohon keputusan berdasarkan pola yang ditemukan. Kemudian, kedua hasil tersebut dibandingkan sehingga dapat diketahui algoritma yang paling tepat. Dengan adanya penerapan algoritma FP-Growth, Warung Sidorukun mendapatkan kemudahan dalam mengetahui pola transaksi yang dilakukan pelanggan dalam pembelian produk.
Implementation Of Genetic Algorithm In Advertising Scheduling On Commercial Radio Stations siregar, idris; Zufria, Ilka; Nasution, Yusuf Ramadhan
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.138

Abstract

In this research, scheduling ad plays on a commercial radio station. Ad plays In this study, scheduling of advertisements was carried out on a commercial radio station. Ads are shown every day from Sunday to Saturday. There are two types of playing time, namely prime time and regular time. Prime time (pt) is 06-10 and 16:00-20:00, while regular time (rt) is 05-06, 11:00-15:00 and 21:00-24:00. The number of ad playback slots is 3 slots per hour and thus for pt time there are 15 slots, where at 16 to 20 hours there are 15 slots, so in total at pt time there are 30 slots per day and for rt time there are 15 slots and 21 hours -23 there are 3 clocks x 3 slots makes 9 slots. So in total at re time there are 27 slots. Prime time rules apply, namely the hours when the general public (listeners) have the greatest opportunity to listen to the radio, namely between 6:00-10:00 in the morning and 16:00-20:00 in the evening. The number of broadcasts of the same advertisement in one day is limited to prime time, which is 5 times, while for regular time it is 8 times. The radio scheduling process is carried out using a genetic algorithm which consists of the processes of chromosome initialization, selection, crossover and mutation. A chromosome represents the chromosomal matrix, namely Ad, Day and Time code. Each chromosome will be evaluated based on its fitness value which is calculated based on the number of penalties that occur on each chromosome in an individual. Where penalty 1 is the number of ad screenings more than once at a time while penalty 2 is the ad playing not at the specified type of time. The results of this study are to produce the best ad schedule by scheduling all ad data, the day and time of ad playing.
Co-Authors Abdul Halim Hasugian Abdul Rasyid Achyar Zein Adelina Manik Adelina Manik Adnan Buyung Nasution Afira Zulfa Afriani Afriani Agung Hamdika Surya Aidil Halim Lubis Aidil Halim Lubis Aidil Halim Lubis Aila Oktavia Abdul Nst Alfahri, Bagus Ageng Alfiansyah, Raja Alfin Budiman Sihotang Ali Ikhwan Ali Ikhwan Amri, M Choirul Andrian Sahputra Aninda Muliani Anjani, Retno Anwar Fauzi Apriani Syahputri Aprilia, Nia Arfina Handayani Armansyah Armansyah Armansyah Armansyah Armansyah Atiqi, Muhammad Farros Aulia, Muhammad Fathir Bagus Ageng Alfahri Batubara, Qisti Azraladiba Ba’ayesh, Mubarak Beni Frandian Bimantara, Muhammad Dhuha Bintang Kurniawan Herman Buyung Satrio Dasopang Buyung Satrio Dasopang Chairul Rizal Chintya Anggraini Cici Irawati Cindy Juliani Cindy Novi Syahputri Danang Wahyu Wicaksono Darsih, D Daulay, Darisma Dea Alya dedi irawan Desmi Roma Putra Lubis Dhafa Hibrizi Sitorus Dimas Arya Dimas Arya Dinda Ayu Ningsih Dion Wirayuda Bahri Dodyk Fahlome Dwi Prapita Sari Dzulfikri Akbar Dollar Edilia, Fazila Nazifa Efriliya Hafni Yuswinda Erwin Nasution Fachri, Barany Fadila, Daffa Fadilla, Nurul Fahmi Dian Pratama Fahrialdy Febriansyah Putra Fahrizal Alwafi Chandra Susi Syafriana Barus Fakhriza, M Fakhriza, M. Farentika, Yosi Fathurahman, Luthfi fazila nazifa edilia Firman Syarif Fitri, Wan Ilia Gilang Reynabil Gina Sania Habib Asy Muhyi Hafiz Fawi Anugerah Hakim, Yusrizal Hanifa Salsabila Harahap, Parlindungan Harry Setiawan Hasugian, Aldi Ridwansyah Hazizah Ulfa Nasution Heri Santoso Heri Santoso Herman, Bintang Kurniawan Ibnu Rusydi Idris Siregar, Idris Ilham Maulana Ritonga Imam Utomo Intan Nofitasari Intan Saleha Tinendung Irawati, Cici Iskandar, Isna Damaiani Ismail Husein, Ismail Jayyid Jiddan Jelita Rahmah Zebua Juliani, Cindy Kaka Davi Dharmawan Kesuma, Beny Khaidir Hanafi Khairani, Melvika Kherina Surya Ningsih Lailan Sofinah Harahap Lubis, Aidil Halim Luthfi Al Faraby M Fakhriza M Fakhriza M Ferdiansah Rkt M Irsyad Ramadhan M Taufiq Rachman Siregar M. Fakhriza M. Fakhriza M. Fakhriza M. Ihsan Lubis M. Ridwan Machfudz, Emir Syarif Mardiah Ramadhani Marini Maulana, Rexa Mhd Ikhsan Rifki Mhd. Syahnan Miftah Hadi Surbakti Mila wati Muchain, Alfira Nafhan Muhamad Alda Muhammad Arif Suhada Muhammad Auliyah Al Ghazali ZA Muhammad Dedi Irawan Muhammad Dio Arkan Muhammad Eka Muhammad Fathir Aulia Muhammad Iqbal Nahwi Muhammad Nabhan Akbar Marpaung Muhammad Reyhandi Akbar Muhammad Siddik Hasibuan Muhammad Syahputra Novelan Muhammad Zulfikar Lubis Naina Nazwa Hasibuan Nasution, Muhammad Irwan Padli Nasution, Yusuf Ramadhan Nazwa Aliya Muthmainnah Hasibuan Nia Aprilia Nst, Aila Oktavia Abdul Nst, Khusnul Khotimah Nur Hasanah Pohan Nur Nofrizal Agustina Srg Nur Shafwa Aulia Sitorus Nurainun Syahdia Nurhanifah Nurhasanah, Mutia Nurul Fadhillah Nurul Fikria Okta Yuliardi Oktopanda Oktopanda Pandi Ahmad Jawara Panjaitan, Arif Wijaya Pinasthika Alya Disti Pradana, Riski Ananta Pratama, Bagus Aji Puan Syaharani Sitorus Puji Sari Ramadhan Purba, Ony Hizri Kaifa Purnamawati, Sri Putra, Fahrialdy Febriansyah Qisti Azraladiba Batubara Ragilia Putri Dinanti Raissa Amanda Putri Raisyah, Shafira Isra Rakhmat Kurniawan R Ramadani, Suci Adina Ramadhan, M Irsyad Rambe, M. Riski Andika Rambe, Rinanda Putri Rani, Putri Meuthia Rendy Andika, Rendy Revina Putri Damayanti Reza Ade Putra Reza Adhitya Budiman Rifdah Arianto Rifdah Syahputri Rina Afriani Sitorus Rini Halila Nasution Rio Rinaldi Rio Rinaldi Risky, Tengku Tanzil Azhari Riswandi Riswandi Riswandi Riswandi Riswandi, Arif Rita Novita Sari Rita Novita Sari Rita Sari Dewi Rizky, Ishlahiyah Nur Rkt, M Ferdiansah Roy Surya Fikriadi Sahputra, Andrian Said Arrahman Salsabila Mahfuza Samsudin, Samsudin Sari Jamilah Rangkuti Sarmila Sarmila Sephia, Putri Aisyah Septiana Dewi Andriana, Septiana Dewi Shania Oktawijaya Silvia Sari Simanjuntak, Salmah Simbolon, Zianah Nafisah Sinaga, Annisa Fitri Siti Sarah, Siti Siti Septia Febiyaula Sitorus, Dhafa Hibrizi Sitorus, Nur Shafwa Aulia Sitorus, Puan Syaharani Sitorus, Rina Afriani Sofiyatul Adawiyah Sriani Sriani Suendri Suendri Suendri, Suendri Suhardi Suhardi Suhardi Suhardi, Suhardi Sulindawaty Sulindawaty Supiyandi Supiyandi Surbakti, Miftah Hadi Syafitri, Febry Dwi Syafrida, Desy Syahrina Indah Harahap Syapira, Tiwi Talita, Friza Tanjung, Erti Belastari Tanjung, Siti Maya Sari Tengku Tanzil Azhari Risky Tiara Bela Harahap Tisna Handayani Triase Triase Triase Triase, Triase Ulfia Zahra Utomo, Imam Wahyu Rahmansyah Wahyudi Wahyudi Wan Ilia Fitri Wardani, Dina Ayu Winny Wiyandari Wiranda Wiranda Yusrizal Hakim Yusuf Ramadhan Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution, Yusuf Ramadhan Zaim Izza Makarim Zalina Zakaria Zebua, Jelita Rahmah Zianah Nafisah Simbolon Zulham Zulham