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All Journal JURNAL SISTEM INFORMASI BISNIS EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi CESS (Journal of Computer Engineering, System and Science) JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA SMARTICS Journal Indonesian Journal of Artificial Intelligence and Data Mining IJIS - Indonesian Journal On Information System JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknik Informatika UNIKA Santo Thomas JurTI (JURNAL TEKNOLOGI INFORMASI) Jiko (Jurnal Informatika dan komputer) ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JISTech (Journal of Islamic Science and Technology) JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Teknologi Sistem Informasi dan Aplikasi IJISTECH (International Journal Of Information System & Technology) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Simtek : Jurnal Sistem Informasi dan Teknik Komputer Jurnal Dedikasi Pendidikan Jurnal Teknologi Terpadu EDUMATIC: Jurnal Pendidikan Informatika METIK JURNAL Jurnal Mantik Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah Sains dan Teknologi (SAINTEK) Zonasi: Jurnal Sistem Informasi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Journal of Intelligent Decision Support System (IDSS) G-Tech : Jurnal Teknologi Terapan 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 Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing IJISTECH Journal La Multiapp Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Simpatik: Jurnal sistem Informasi dan Informatika Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Mandiri IT Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) SENTRI: Jurnal Riset Ilmiah Malcom: Indonesian Journal of Machine Learning and Computer Science STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer International Journal of Science and Environment SmartComp Jurnal Ilmu Komputer dan Sistem Informasi VISA: Journal of Vision and Ideas Da'watuna: Journal of Communication and Islamic Broadcasting Future Academia : The Journal of Multidisciplinary Research on Scientific and Advanced The Indonesian Journal of Computer Science Teknologi : Jurnal Ilmiah Sistem Informasi
Rakhmat Kurniawan R
Universitas Islam Negeri Sumatera Utara
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PERANCANGAN SISTEM E-COMMERCE J2 KOPI TAKENGON BERBASIS WEB MENGGUNAKAN METODE CONTENT-BASED FILTERING Masdaliva, Fita; Rakhmat Kurniawan R
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 4 No. 4 (2025): November
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/storage.v4i4.6578

Abstract

J2 Kopi Takengon sebagai unit usaha di bawah CV Bali Bangkit, masih menghadapi kendala karena proses penjualan bubuk kopi dilakukan secara manual melalui aplikasi WhatsApp, sehingga jangkauan pasar terbatas dan pelayanan kurang efisien. Penelitian ini bertujuan untuk merancang sistem e-commerce berbasis web dengan fitur rekomendasi produk menggunakan metode Content-Based Filtering (CBF). Pengembangan sistem dilakukan dengan model Rapid Application Development (RAD) melalui tahapan perencanaan kebutuhan, desain, konstruksi, dan implementasi. Sistem rekomendasi dibangun melalui tahapan data collection, text preprocessing, pembobotan kata menggunakan TF-IDF, perhitungan kemiripan dengan cosine similarity, serta penyajian hasil melalui Top-N Recommendation. Hasil penelitian menunjukkan bahwa varian Natural menjadi rekomendasi utama dengan skor kemiripan tertinggi, diikuti oleh Wine, sedangkan Full Wash, Semi Wash, dan Honey tetap relevan sebagai rekomendasi alternatif. Sistem ini berkontribusi dalam memperluas jangkauan pasar, meningkatkan daya saing usaha, serta menghadirkan pengalaman belanja online yang lebih personal dan interaktif.
Application of the C4.5 Algorithm for Predicting Banana Chips Production Demand (Case Study at UD. Sinar Sejahtera Medan) wijaya, M. Teguh; Rakhmat Kurniawan R
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 7 No. 2 (2024): Jurnal Teknologi dan Open Source, December 2024
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v7i2.3975

Abstract

The rapid advancement of science and technology significantly impacts various aspects of life, including business operations. Technology plays a vital role in providing information and simplifying human tasks, addressing challenges faced by growing companies, particularly in managing sales fluctuations. Factors such as market competition, product quality, and consumer interest are critical for evaluating and improving sales strategies. UD. Sinar Sejahtera Medan, a food processing industry specializing in banana chips, faces challenges such as fluctuating raw material supply, impacting production and sales. To address this, a prediction system for raw material demand was developed, leveraging the C4.5 algorithm. The C4.5 algorithm was selected for its ability to generate decision trees from historical data, providing interpretable results and high accuracy in forecasting categorical outcomes. By analyzing past trends in raw material availability and usage, the algorithm predicts future supply needs, optimizing production planning and supporting sustainable business operations. This study's findings are expected to align with previous research, offering insights for better production and sales management.
Penerapan Algoritma C4.5 untuk Analisis Tingkat Kepuasan Santriwan Santriwati Pesantren Darul Ulum Mambaul Huda Muhammad Ikhsan Aji; Rakhmat Kurniawan
Jurnal Teknologi Terpadu Vol 11 No 2 (2025): Desember, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v11i2.2636

Abstract

Student satisfaction is an important indicator for evaluating the quality of educational services in Islamic boarding schools. Therefore, an analytical method capable of accurately identifying the factors that influence student satisfaction is needed. This study aims to analyze the satisfaction levels of male and female students at Pesantren Darul Ulum Mambaul Huda using the C4.5 algorithm. The C4.5 algorithm is used to build a classification model by calculating entropy and information gain to identify the most influential attributes affecting satisfaction levels. The data used in this research were collected through questionnaires that included several assessment variables, including teaching quality, facilities, services, and discipline. The analysis process consisted of several stages, including data cleaning, calculating entropy and information gain, constructing the decision tree, and evaluating the model’s performance using a confusion matrix. The results show that the C4.5 algorithm achieves high classification accuracy and identifies that teaching quality and boarding school facilities are the most influential factors. Thus, the C4.5 algorithm can serve as an effective tool for boarding school management to improve the quality of educational services and the learning environment for students.
Sales forecasting of pet food at oyen petshop using the fuzzy time series–markov chain method Pratama, Agung; Kurniawan, Rakhmat
Journal of Intelligent Decision Support System (IDSS) Vol 8 No 4 (2025): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v8i4.327

Abstract

Oyen Petshop faces stock management inaccuracies because sales records are still kept manually, while demand patterns are highly fluctuating and difficult to predict, often leading to overstock or stockouts that harm the business. The purpose of this study is to develop a Fuzzy Time Series–Markov Chain (FTS-MC) model to forecast pet food sales at Oyen Petshop and implement it in the form of a website. The research method applies FTS-MC to construct fuzzy intervals, generate FLR/FLRG, calculate transition probabilities, and produce forecasts based on dry-food sales data from April 2024 to March 2025. The results show that the FTS-MC model achieves a MAPE of 8.92%, with forecasted values that follow actual fluctuations and indicate a stable demand trend of 206–224 units for the next seven periods. Black Box Testing confirms that all web-based system functions operate correctly and all test scenarios pass, ensuring the system is ready for operational use. The findings indicate that the system enables more precise stock estimation, supports the establishment of safe reorder limits, and allows procurement decisions to be made faster and more consistently without manual calculations.
REDUKSI DIMENSI PADA KLASIFIKASI DATA KANKER PROSTAT MENGGUNAKAN PRINCIPAL COMPONENT ANALYSIS DAN RANDOM FOREST Krisdantoro, Rino; Kurniawan R, Rakhmat; Suhardi, Suhardi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5856

Abstract

Abstract: Cancer is a non-communicable disease characterized by the presence of abnormal tissue that is malignant. The speed of cancer growth cannot be controlled and the cancer can spread to other tissues in the patient's body. There are several types of cancer, one of which is prostate cancer. Prostate cancer usually occurs in parts of the male reproductive system that surrounds the urinary tract and usually occurs in older men, but does not rule out it will occur in younger men. One way to detect prostate cancer is by gene expression using microarray technology. Microarray technology can combine thousands of gene expressions simultaneously in one experiment. However, microarray data has very large dimensions, so a dimension reduction process is needed in microarray data with the aim of eliminating features that are less relevant and to increase the accuracy value in the microarray data classification process later. The dimension reduction process is carried out by selecting features using PCA. After the dimension reduction process is carried out, the next step is to carry out the classification process using RF. In this study, PCA was not able to improve the results of the accuracy of the RF classification as expected because RF without reduction has provided the best accuracy of 95.23%. This is due to the nature of RF, namely the more trees that are built, the higher the resulting accuracy results, while the nature of PCA is to reduce or reduce the number of matrices by reflecting the original data to the new data matrix. Keyword: Microarray, Reduction, PCA, RF Abstrak: Kanker merupakan penyakit tidak menular yang ditandai adanya jaringan abnormal bersifat ganas. Kecepatan dari pertumbuhan kanker tidak dapat dikendalikan dan kanker dapat menyebar ke jaringan lain pada tubuh penderita. Ada beberapa jenis penyakit kanker salah satunya yaitu kanker prostat. Kanker prostat biasanya terjadi pada bagian sistem reproduksi pria yang mengelilingi saluran kemih dan biasanya terjadi pada pria lanjut usia, tetapi tidak menutup kemungkinan akan terjadi pada pria yang berusia lebih muda. Adapun salah satu cara mendeteksi kanker prostat dengan ekspresi gen menggunakan teknologi microarray. Teknologi microarray dapat memantau ribuan ekpresi gen secara bersamaan dalam satu percobaan. Namun, pada data microarray memiliki dimensi yang sangat besar sehingga diperlukannya proses reduksi dimensi pada data microarray dengan tujuan untuk menghilangkan fitur yang kurang relevan dan untuk meningkatkan nilai akurasi pada proses klasifikasi data microarray nantinya. Proses reduksi dimensi dilakukan dengan menyeleksi fitur menggunakan PCA. Setelah proses reduksi dimensi telah dilakukan, langkah selanjutnya melakukan proses klasifikasi dengan menggunakan RF. Pada penelitian ini, PCA tidak mampu meningkatkan hasil akurasi dari klasifikasi RF seperti yang diharapkan karena RF tanpa reduksi telah memberikan akurasi terbaik sebesar 95,23%. Hal ini dikarenakan sifat dari RF yaitu semakin banyak pohon (tree) yang dibangun, maka akan semakin tinggi hasil akurasi yang dihasilkan, sedangkan sifat dari PCA yaitu mereduksi atau mengurangi jumlah matriks dengan mencerminkan data asli ke matriks data baru. Kata kunci: Microarray, Reduksi, PCA, RF
Penerapan Naive Bayes dalam Mengidentifikasi Penyebab Remaja Desa Terlibat dalam Judi Online Annabil, M Haziq; R, Rakhmat Kurniawan
TIN: Terapan Informatika Nusantara Vol 6 No 9 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i9.9350

Abstract

The development of digital technology and increased internet access have driven changes in adolescent social behavior, including increased involvement in online gambling activities, not only in urban areas but also in rural areas. This study aims to identify the factors that influence adolescent involvement in online gambling and to measure the level of influence of each factor using a machine learning-based classification approach. The research was conducted in Payageli Village, Sunggal District, Deli Serdang Regency, involving 507 adolescent respondents who were surveyed using a questionnaire containing 23 questions. The data obtained was analyzed using the Naive Bayes algorithm with data preprocessing, categorical attribute coding, and data division into training and test data with a ratio of 80:20. The results showed that the dominant factors influencing adolescent involvement in online gambling included peer influence, intensity of exposure to online gambling advertisements, online gaming habits, low positive leisure activities, and lack of parental supervision. The classification model built produced an accuracy rate of 98%, with high precision and recall values in each class. These findings indicate that the Naive Bayes algorithm is effective in identifying adolescents at risk of engaging in online gambling and has the potential to be used as a basis for developing data-driven prevention strategies at the village level.
Sistem Informasi Rekam Medis Pada Puskesmas Dengan Menerapkan Algoritma K-Means Berbasis Web Nasution, Fitri Handayani; Kurniawan, Rakhmat; Putri, Raissa Ramanda
Jurnal Ilmiah Sains dan Teknologi Vol. 9 No. 2 (2025): Jurnal Ilmiah Sains dan Teknologi
Publisher : Teknik Informatika Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/saintek.v9i2.3968

Abstract

Medical record management at Puskesmas is one of the important aspects in efficient health services. However, the manual system that is still widely used often causes various problems such as recording errors, and the slow process of making medical decisions. this study aims to design and build a web-based medical record information system that can facilitate digital patient data management. This system is also equipped with the application of the K-Means algorithm to categorize the types of diseases suffered by patients. The patient's disease will be categorized into 3 categories, namely very severe, severe, and not severe by the system. The system development method used is the waterfall method and Unified Modeling Language tools and the system development process using the PHP programming language and MySQL database. With this information system, it is hoped that it can facilitate medical record officers in recapitulating patient data and providing good service.
Implementasi Internet of Thing (IoT) untuk Monitoring dan Kontrol Energi Listrik Rumah Tangga Menggunakan Fuzzy Tsukamoto Nazry Luthfy, Fadhlun; Kurniawan R, Rakhmat
CESS (Journal of Computer Engineering, System and Science) Vol. 11 No. 1 (2026): Januari 2026
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v11i1.72110

Abstract

Peningkatan konsumsi energi listrik rumah tangga dan minimnya informasi konsumsi secara real-time menyebabkan penggunaan listrik yang tidak efisien serta berpotensi menimbulkan risiko keselamatan instalasi. Oleh karena itu, diperlukan sistem pemantauan dan pengendalian energi listrik yang cerdas, adaptif, dan dapat diakses dari jarak jauh. Penelitian ini mengimplementasikan sistem Internet of Things (IoT) untuk monitoring dan kontrol energi listrik rumah tangga menggunakan algoritma Fuzzy Tsukamoto. Akuisisi data tegangan, arus, dan daya dilakukan secara real-time menggunakan sensor PZEM-004T yang terintegrasi dengan mikrokontroler ESP32. Data dianalisis menggunakan logika Fuzzy Tsukamoto untuk menentukan kondisi beban listrik, kemudian sistem secara otomatis mengendalikan relay sebagai mekanisme proteksi. Sistem dilengkapi dengan platform Blynk untuk pemantauan dan kontrol jarak jauh. Hasil pengujian menunjukkan bahwa sistem mampu mengukur parameter listrik dengan tingkat akurasi yang tinggi, ditandai dengan deviasi kesalahan pengukuran tegangan, arus, dan daya di bawah 5% dibandingkan alat ukur referensi. Sistem juga mampu mendeteksi kondisi beban tidak normal dan melakukan pemutusan suplai listrik secara otomatis dan manual. Kontribusi penelitian ini terletak pada penerapan algoritma Fuzzy Tsukamoto sebagai sistem pengambilan keputusan adaptif dalam monitoring dan kontrol energi listrik rumah tangga berbasis IoT, yang tidak hanya meningkatkan keamanan instalasi listrik, tetapi juga mendukung efisiensi energi dan pencegahan kerusakan perangkat listrik.
Implementasi Konsumsi Energi Listrik Perabotan Rumah Tangga Berbasis IoT Menggunakan ESP-32, Sensor PZEM 004T dan Fuzzy Mamdani Azka El Husein Lubis, Sultan; Kurniawan R, Rakhmat
CESS (Journal of Computer Engineering, System and Science) Vol. 11 No. 1 (2026): Januari 2026
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v11i1.72255

Abstract

Peningkatan konsumsi energi listrik rumah tangga menuntut adanya sistem monitoring dan kontrol yang efektif untuk meningkatkan efisiensi penggunaan energi. Penelitian ini dirancang untuk mengembangkan serta menerapkan infrastruktur sistem pemantauan dan pengendalian konsumsi energi listrik yang terintegrasi dengan teknologi Internet of Things (IoT) melalui metode logika fuzzy Mamdani. Sistem dirancang dengan mikrokontroler ESP32 berfungsi sebagai unit pemrosesan data utama, modul sensor PZEM-004T sebagai alat ukur parameter kelistrikan, relay sebagai perangkat pengendali beban, serta platform IoT Blynk sebagai media monitoring jarak jauh. Data hasil pengukuran ditampilkan secara real-time melalui antarmuka LCD dan aplikasi berbasis Internet of Things (IoT). Metode fuzzy Mamdani diterapkan dengan dua parameter input, yaitu arus dan daya, yang ditransformasi melalui proses fuzzifikasi ke dalam tiga himpunan fuzzy, linguistik kategori rendah, kategori sedang, dan kategori tinggi. Sistem menggunakan sembilan kaidah fuzzy sebagai dasar pengambilan keputusan dalam mengontrol relay. Hasil penelitian menunjukkan bahwa sistem mampu memantau parameter listrik secara real-time dengan tingkat akurasi yang tinggi. Hasil pengujian menunjukkan nilai rata-rata kesalahan pengukuran tegangan berkisar pada 0,114%, sedangkan kesalahan data pengukuran arus dan daya berada di bawah 1,3%. Mekanisme kontrol relay bekerja sesuai hasil inferensi fuzzy dan konsisten dengan perhitungan manual. Selain itu, sistem mampu mendeteksi kondisi standby power serta menghitung dan menampilkan biaya pemakaian listrik secara real-time, sehingga membantu pengguna dalam mengontrol konsumsi energi listrik secara lebih beroperasi secara optimal.
Prototipe Sistem Cerdas dalam Pengairan Rumah Tangga Berbasis IOT Menggunakan Metode Logika Fuzzy Sugeno Muhammad Rizki Madani; Rakhmat Kurniawan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9661

Abstract

Pengelolaan air rumah tangga yang efisien masih menjadi permasalahan akibat distribusi yang tidak terkontrol. Penelitian ini mengembangkan prototipe sistem pengairan rumah tangga berbasis Internet of Things (IoT) menggunakan metode logika fuzzy Sugeno untuk pengambilan keputusan otomatis. Sistem dirancang menggunakan ESP32 sebagai pusat kendali dan ESP8266 sebagai node sensor pada toren, bak mandi, dan kran otomatis, dengan sensor ultrasonik sebagai input utama. Pengujian dilakukan pada sembilan skenario kombinasi level air. Hasil menunjukkan bahwa sistem menghasilkan keputusan yang sesuai dengan rule base pada seluruh skenario (akurasi 100%), serta mampu mengatur prioritas distribusi air dengan benar, yaitu memprioritaskan pengisian toren sebelum bak mandi. Selain itu, sistem berhasil menghindari konflik aktuator (tidak ada valve yang aktif bersamaan) dan menonaktifkan pompa saat kondisi air mencukupi, sehingga lebih efisien dalam penggunaan energi. Kontribusi utama penelitian ini adalah integrasi multi-node IoT dengan metode fuzzy Sugeno dalam satu sistem pengairan rumah tangga yang mampu melakukan kontrol adaptif dan monitoring real-time berbasis Firebase dan aplikasi mobile. Hasil penelitian menunjukkan bahwa sistem yang diusulkan efektif, stabil, dan layak diterapkan sebagai solusi pengelolaan air rumah tangga cerdas.
Co-Authors Abdul Halim Hasugian Adnan Buyung Nasution Agung Firmansyah Agung Pratama Ahmad Fauzi Ahmad Taufik Al Afkari Siahaan Aidil Halim Aidil Halim Lubis Aidil Halim Lubis Aidil Halim Lubis Alhafiz, Akhyar Alwy Azyari Harahap Amelia, Dara Andre Gusli Agus Riadi Annabil, M Haziq Armansyah Armansyah Armansyah Armansyah Arrafiq, Muhammad Sunni Asnawi, Azi Ayyina, Ayyina Nurhidayah Azhari, Fajar Azka El Husein Lubis, Sultan Bahari, Mhd Raja Doly Bayhaqi, Abdullah Bisri, Cholil Br Rambe, Indri Gusmita Dandi, Muhammad Khairil Dasopang, Buyung Satrio Dian Putri Kinanti Dwisyahputra, Achmad Adbillah Eva Darwisah Harahap Fadiga, Muhammad Fahrul Afandi Fakhriyah, Mardhiyah Fakhrizal, Fiqri Fatwa, Nursalimah Isnaina Fikri Aulia Habibie, Alief Fathul Haliem, Alexander Hanafi, Muhammad Rizky Harahap, Nita Maharani Harahap, Rina Syafiddini Harahap, Shopiah Henni Melisa Hidayat, Zulfy Hidayatullah, Catur HP, Kiki Iranda Hsb, Khoiri Sutan Ibsan, Muhammad Hanafi Ilham Rizki Ananda Ilka Zufria Imam Zaki Husein Nst Ivan Prayuda Julianti, Miranda Jusli, Dara Taqa Assajidah Kesuma Dwi Ningtyas Khairin Nadia Khairunissabina, Khairunissabina Khoiriah, Miftahul Krisdantoro, Rino Lubis, Fahrian Zibran Lubis, Farhan Rusdy Asyhary M. Teguh wijaya Masdaliva, Fita Maulana, Fahmi Meilina, Indah Mey Hendra Putra Sirait Mhd Furqan Mhd Furqan Mhd. Furqan Furqan Mhd.Furqan Muhammad Abi Muzaki Muhammad Fahri, Muhammad Muhammad Ikhsan Muhammad Ikhsan Aji Muhammad Rizki Madani Muhammad Siddik Hasibuan Nasution, Fitri Handayani Nasution, Raihan Hafiz Nazry Luthfy, Fadhlun Noor Azizah Novita Jambak, Indah Nur Aini, Sakina Nurjanah, Trya Nurwana Nazla Saragih Padang, Bermiko Kasah Pravda, Michellia Delphi Isfahan Prayoga, Dio Putri Hanifah Putri, Raissa Ramanda Qasthari, Mohd. Wildan Rafli Bima Sakti Rahmad Syuhada Ramadhan, Alfan Ramadhan, Nuzul Ramadhan, Rio Fadli Ramadhan, Rizky Syahrul Ratna Dewi, Sri Reza Muhammad Rifansyah, Mhd. Roji Rifqi Alwanu Akmal Rina Filia Sari Rina Syafiddini Harahap Rini Halila Nasution Rizki Ananda Putra Fajar Rizky Barus Rizky Pratama Putra Rudi Riyandi Salsabillah, Ayna Sandira, Sri Delwis Saragih, Khoirul Azmi Saragih, Rafif Aprizki Sari, Desliana Sihombing, Rizki Andika Silva Ukhti Filla Silvi Joya Arditna Br Bukit Sinaga, Imam Adlin Sinaga, Muhammad Nabil Siregar, Muharram Soleh Siti Afifah Siregar Siti Ayu Hadisa Siti Nurul Aini, Siti Nurul Siti Sarah Harahap Siti Sumita Harahap Sodik, Imam Sri Marwah Badrin Sriani Sriani Sriani Stephani Silalahi Suhardi Suhardi Suhardi Suhardi, Suhardi Syahira, Melani Alka Syahputra, Pii Syahputra, Zidhane Syarifudin, Zaini Tbn, Ahmad Fauza Anshori Tri Asyura Mashuri Triase Triase Triase Triase, Triase Wahyu Kurniawan wijaya, M. Teguh Wini Istya Sari Lubis Yahya, Arfigo YENI SAFITRI Yudha, Muhammad Yudha Pratama Zahron, Almeranda Haryaveda Nurul