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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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Analisis Sentimen Masyarakat pada Platform Media Sosial X (Twitter) terhadap Pelantikan Kabinet Merah Putih Menggunakan Bernoulli Naïve Bayes Rambe, M. Riski Andika; Zufria, Ilka; Rifki, Mhd. Ikhsan
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 1: JUNI 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i1.6360

Abstract

Penelitian ini bertujuan untuk menganalisis sentimen masyarakat terhadap pelantikan Kabinet Merah Putih melalui platform media sosial X (sebelumnya Twitter) menggunakan algoritma Bernoulli Naive Bayes. Data sebanyak 1.000 tweet dikumpulkan dan diproses melalui tahapan preprocessing, tokenisasi, penghapusan stopwords, stemming, serta pembobotan menggunakan TF-IDF. Selanjutnya, data diklasifikasikan ke dalam sentimen positif dan negatif. Model dilatih dengan 700 data dan diuji dengan 300 data. Hasil evaluasi menunjukkan bahwa model mencapai akurasi sebesar 78%, dengan precision untuk kelas positif sebesar 0.775 dan recall sebesar 0.677, sedangkan precision dan recall untuk kelas negatif masing-masing sebesar 0.783 dan 0.856. Temuan ini menunjukkan bahwa Bernoulli Naive Bayes efektif dalam mengidentifikasi sentimen masyarakat secara umum, terutama pada sentimen negatif. Penelitian ini memberikan gambaran persepsi publik terhadap pelantikan kabinet serta menjadi dasar untuk pengambilan keputusan kebijakan komunikasi pemerintah yang lebih baik.
Penentuan Kelas Unggulan Berbasis Decision Support System Dengan Metode Simple Additive Weighting (Saw) Zufria, Ilka; Hasugian, Abdul Halim; Simanjuntak, Salmah
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.114 KB) | DOI: 10.54367/means.v5i2.973

Abstract

MTs 2 state Medan Jl. Administrator No. 3 Medan Estate Complex is one of the school governments engaged in education. With the rapid development of technology that develops with the development of science and technology, we must prepare human resources who are able to compete excellently. In order for the formation of quality students, the superior class is a gap in efforts to improve the quality of education in Indonesia. To get quality students will not be separated from good religious knowledge, because if students do not have religious knowledge it will cause competent children to do things that are deviant, whereas in the hadith it has been stated that morals are higher in the placement of knowledge, then a student who does not there are morals then their knowledge will be in vain. This study is to see that to enter the superior class with several specified criteria, namely: Al-Quran test, IQ test, medical history, parent's income, Sem-Odd Value, Sem-Even Value. If these criteria are met, a student will be selected through the results of the ranking of each criterion. Because it takes too much time and the limited ability to see all aspects at one time that has been determined accurately, it causes several errors in decision making. Therefore, a decision support system for selecting a superior class is needed with the criteria determined by the MTs state 2 Medan school, by using the simple additive weighting method (SAW) which can help the school to determine superior class students quickly and accurately. By using the SAW method formula that is connected with each existing criterion to produce a decision in selecting the superior class student. Keywords: superior class, decision support system, SAW
Rancangan Sistem Informasi Pengolahan Event Kampus Berbasis Web Menggunakan Metode Waterfall Muhammad Nabhan Akbar Marpaung; sarah, siti; Ragilia Putri Dinanti; Gilang Reynabil; Nurul Fikria; Alfin Budiman Sihotang; Marini; Revina Putri Damayanti; Dinda Ayu Ningsih; Ilka Zufria
Jurnal Nasional Teknologi Komputer Vol 5 No 3 (2025): Juli 2025
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v5i3.225

Abstract

Perkembangan teknologi informasi yang pesat menuntut adanya sistem digital yang efisien dan terintegrasi dalam berbagai sektor, termasuk di lingkungan kampus. Laporan ini membahas perancangan dan implementasi Sistem Informasi Pengelolaan Event Kampus berbasis web yang bertujuan untuk menggantikan proses manual dalam manajemen event seperti seminar, pelatihan, dan kegiatan organisasi kemahasiswaan. Sistem ini dirancang dengan metode Waterfall yang mencakup tahapan analisis kebutuhan, perancangan, implementasi, pengujian, dan dokumentasi. Fitur utama yang disediakan antara lain manajemen event, pendaftaran peserta, pencatatan kehadiran, laporan kegiatan, dan dokumentasi galeri. Dengan penerapan sistem ini, proses pengelolaan event menjadi lebih cepat, efisien, dan terdokumentasi secara baik, sekaligus meningkatkan transparansi dan profesionalisme penyelenggara. Sistem dikembangkan menggunakan teknologi open-source seperti HTML, CSS, PHP, JavaScript, dan MySQL. Hasil implementasi menunjukkan bahwa sistem mampu memenuhi kebutuhan pengguna dan mendukung kegiatan event internal kampus secara optimal.
IMPLEMENTASI PENAMBANGAN DATA UNTUK PREDIKSI PENJUALAN PRODUK SUKU CADANG VESPA MENGGUNAKAN METODE MULTIPLE LINEAR REGRESSION Zaim Izza Makarim; Ilka Zufria
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 02 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i02.1461

Abstract

Pertumbuhan kendaraan bermotor di Indonesia meningkat signifikan seiring dengan meningkatnya mobilitas masyarakat. Salah satu merek yang tetap diminati adalah Vespa, skuter klasik Italia yang telah menjadi simbol gaya hidup perkotaan dan kolektivitas budaya populer sejak tahun 1950-an. Popularitas ini berdampak langsung pada tingginya permintaan suku cadang, baik untuk kebutuhan perawatan rutin maupun modifikasi. Namun, fenomena ketidaksesuaian antara ketersediaan dan permintaan suku cadang Vespa seperti kasus di Dito Vespa Medan, di mana 42% permintaan servis terkait sistem pengapian tidak terpenuhi karena stok minim, mengindikasikan sistem prediksi penjualan adaptif yang lemah. Berdasarkan permasalahan tersebut, penelitian ini bertujuan untuk menerapkan metode data mining berbasis multiple linear regression untuk membangun model prediksi kuantitatif untuk penjualan produk suku cadang Vespa. Metode penelitian ini meliputi observasi langsung, wawancara mendalam, dan pengolahan 500 entri data transaksi menggunakan Python. Variabel seperti harga, stok awal, promo diskon, hari, dan bulan dianalisis sebagai prediktor volume penjualan. Hasil model menunjukkan nilai R-kuadrat 0,28, menunjukkan bahwa model tersebut mampu menjelaskan 28% dari variabilitas penjualan. Temuan ini memberikan kontribusi praktis dalam manajemen rantai pasokan dan manfaat akademik dalam memperluas literatur tentang aplikasi penambangan data di sektor otomotif konvensional berbasis kendaraan klasik.
Predicting Student Stress Levels Based on Lifestyle Factors Using the Catbost Algorithm Rani, Putri Meuthia; Zufria, Ilka
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 1 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i1.24537

Abstract

This study developed a machine learning model to classify student stress levels based on lifestyle factors using the CatBoost algorithm. Data were collected from 630 students of the SciTech Faculty at State Islamic University of North Sumatra through a questionnaire comprising 14 Likert-scale items. Instrument validation was confirmed using Pearson’s r (>0.821, p < 0.05) and Cronbach’s Alpha (0.866). Preprocessing included outlier removal with IQR, feature encoding, stratified train-test split (80:20), and 5-fold cross-validation. The training set was imbalanced and addressed using the SMOTE technique. Model evaluation used accuracy (85%), precision, recall, and F1-score per class, with high recall (0.97) for moderate and improved F1-score (0.79) for low stress. Final classification used a 20% test subset (126 samples). Feature importance analysis identified task procrastination, poor sleep quality, and weak time management as key predictors. These findings affirm CatBoost's reliability through consistent results, scalability, and balanced evaluation metrics beyond mere accuracy.
Application of the Naïve Bayes Algorithm in Sentiment Analysis of Using the Shopee Application on the Play Store Sitorus, Rina Afriani; Zufria, Ilka
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 1 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v15i1.19828

Abstract

This research aims to find out the opinions of users of the Shopee application on the Play Store using the Naive Bayes Naive Algorithm and to find out the suitability of the correct application of the Naive Bayes algorithm in carrying out sentiment analysis with the classification of three sentiment classes. The dataset used in this study consisted of 2000 customer reviews obtained from the Play Store in 2024 collected by the scraping process using the Python library. The dataset has 1,198 examples of negative attitudes, 583 examples of good sentiment, and 219 examples of neutral sentiment. The results of this study are expected to be used as evaluation material for Shopee Apilkation to improve the performance of Shopee applications. Research findings show that the Bayes naive approach reaches accuracy determined by various aspects, such as the quantity of data collections and positive and negative data distribution. This study shows that the Bayes naive algorithm can function properly as a technique to evaluate user sentiment for applications in the Play Store. However, with the classification of three classes, another algorithm is needed to produce higher accuracy.
Classification of Lung TB Levels by Region in Medan City Using Logistic Regression Algorithm Purnamawati, Sri; Zufria, Ilka
JURIKOM (Jurnal Riset Komputer) Vol. 12 No. 4 (2025): Agustus 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i4.8914

Abstract

The Indonesia Smart Program is a cash assistance for education aimed at elementary, middle, and high school students aged 6-21 who come from underprivileged families. In the selection process for prospective recipients of the Indonesia Smart Program at SMA Negeri 1 Kutalimbaru, several problems arose due to the still conventional data processing. This issue is primarily caused by technological limitations and the absence of a computerized system to process that data. As a result, the process is time-consuming and prone to high error rates. Therefore, a computer-based system is needed to assist in the Recommendation of Prospective Recipients of the Indonesia Smart Program. In this study, a combination of two methods was used, namely the Rank Order Centroid (ROC) method for criterion weighting and Additive Ratio Assessment (ARAS) for ranking. Based on the tests conducted on 180 data of students eligible to receive the Program Indonesia Pintar at SMA Negeri 1 Kutalimbaru, the ranking results established Restu (A142) in the first position as the most recommended Candidate Recipient of the Program Indonesia Pintar with a final score of “1”, with criteria including having a KIP Card “Yes”, having a KKS Card “Yes”, being an orphan “Orphan”, number of dependents “2”, parental income “No Income’. Thus, the ROC and ARAS methods prove to be suitable in assisting decision-making for recommendations for Candidates to Receive the Program Indonesia Pintar.
Klasifikasi Tingkatan Perokok dengan Analisis Data Survei Masyarakat menggunakan Algoritma K-Means dan XGBoost Khairani, Melvika; Zufria, Ilka
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 2 (2025): Volume 11 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i2.96678

Abstract

Tingginya angka perokok aktif di Indonesia yang berdampak pada kesehatan, ekonomi, dan sosial masyarakat, khususnya di kota-kota besar seperti Medan, belum diimbangi dengan pendekatan analitis yang mampu memetakan tingkat kebiasaan merokok secara terstruktur karena keterbatasan data berlabel. Untuk mengatasi permasalahan tersebut, penelitian ini menggunakan pendekatan semi-supervised dengan menggabungkan algoritma K-Means Clustering untuk membentuk label tingkat perokok, dan Extreme Gradient Boosting (XGBoost) untuk melakukan klasifikasi multikelas dengan tiga target kelas, yaitu perokok Ringan, Sedang, dan Berat, berdasarkan karakteristik individu seperti pengaruh sosial, tekanan psikologis, dan kebiasaan merokok harian. Data dikumpulkan dari 638 responden perokok aktif berusia 20"“40 tahun di Kota Medan melalui dua metode, yaitu survei lapangan dengan kuesioner cetak (33 responden) dan survei daring melalui Google Form (605 responden), yang selanjutnya melalui proses validasi dan prapemrosesan sebelum dianalisis. Hasil evaluasi menunjukkan bahwa model XGBoost mencapai akurasi sebesar 98%, dengan precision 1,00, recall 0,94, dan f1-score 0,97 untuk kelas Ringan; precision 0,90, recall 1,00, dan f1-score 0,95 untuk kelas Sedang; serta precision 1,00, recall 0,98, dan f1-score 0,99 untuk kelas Berat.
Design and Development of a Web-Based Mosque Financial Management Information System Using the Incremental Method Amri, M Choirul; Anjani, Retno; Rasyid, Abdul; Pradana, Riski Ananta; Zufria, Ilka
Journal of Computer Science and Informatics Engineering Vol 4 No 4 (2025): October
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i4.1212

Abstract

Nur Hidayah Mosque in Dusun III, Tuntungan I Village, Pancur Batu District, Deli Serdang Regency, faces challenges in financial management, which is still conducted manually using cash books and printed reports. This manual system leads to delays, recording errors, and difficulties in monitoring and evaluating finances. To improve efficiency, accuracy, and transparency, this study designs and develops a web-based financial management information system using the incremental development method. The system allows mosque administrators, particularly the admin and treasurer, to digitally record income and expenses, generate automatic financial reports, and store data in a structured and easily accessible format. Features such as automatic recap and digital archiving further support transparency and accountability. The implementation of this system is expected to significantly enhance the performance of mosque financial management by providing faster and more organized data access while minimizing manual recording errors. This system contributes to the modernization of mosque financial administration and can serve as a reference for similar future research
Integrasi Pendidikan Digital dan Ekonomi Kreatif melalui Program Digitalisasi Pendaftaran Lokasi Usaha di Google Maps yang Berada di Desa Timbang Lawan Pandi Ahmad Jawara; Apriani Syahputri; Afriani Afriani; Dion Wirayuda Bahri; Ilka Zufria
SEWAGATI: Jurnal Pengabdian Masyarakat Indonesia Vol. 4 No. 4 (2025): Desember: Jurnal Pengabdian Masyarakat Indonesia
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/sewagati.v4i4.3309

Abstract

This study aims to analyze the implementation of the digitalization program for business location registration on Google Maps as a form of digital education integration and strengthening the creative economy in Timbang Lawan Village. The background of this research departs from the low public understanding of the use of digital technology for local business development, which has an impact on the limited market reach, promotion, and competitiveness of MSMEs. The method used in community service is Participatory Action Research (PAR). The PAR method was chosen because it emphasizes active collaboration between researchers and the community so that the resulting solutions are more in line with local needs and can be applied sustainably. The results of the activity show that there is an increase in digital literacy among business actors, especially in the use of digital maps for promotion. Based on documentation, observations, and interviews, a number of MSMEs have successfully registered their business locations on Google Maps, verified by Google, and have begun to receive benefits in the form of increased business visibility, customer numbers, and opportunities for product development and wider business networks at the regional level.
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