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All Journal Jurnal Dedikasi Teknika Jurnal Algoritma Pelita Perkebunan Jurnal Informatika dan Teknik Elektro Terapan Scientific Journal of Informatics CESS (Journal of Computer Engineering, System and Science) Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi INOVTEK Polbeng - Seri Informatika Indonesian Journal of Information System JISTech (Journal of Islamic Science and Technology) Jurnal Teknologi Sistem Informasi dan Aplikasi JURNAL PENDIDIKAN TAMBUSAI JAST : Jurnal Aplikasi Sains dan Teknologi The IJICS (International Journal of Informatics and Computer Science) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Manajemen Informatika Simtek : Jurnal Sistem Informasi dan Teknik Komputer JSI (Jurnal sistem Informasi) Universitas Suryadarma JOISIE (Journal Of Information Systems And Informatics Engineering) JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal SITECH : Sistem Informasi dan Teknologi Asian Journal of Agriculture Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Technologia: Jurnal Ilmiah Journal of Information Systems and Informatics Indonesian Journal of Business Intelligence (IJUBI) Jurnal Ilmiah Sains dan Teknologi Zonasi: Jurnal Sistem Informasi Journal of Language, Literature, and Teaching JTIK (Jurnal Teknik Informatika Kaputama) ICIT (Innovative Creative and Information Technology) Journal Jurnal E-Komtek JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknologi Informasi dan Komunikasi RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Diversity: Disease Preventive of Research Integrity Jurnal Responsif : Riset Sains dan Informatika Jurnal Ilmiah Wahana Pendidikan Syntax: Journal of Software Engineering, Computer Science and Information Technology Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Mahasiswa Sistem Informasi (JMSI) JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer Journal of Telecommunication, Electronics and Control Engineering (JTECE) Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer TIERS Information Technology Journal Jurnal IPTEK Bagi Masyarakat Bulletin of Information Technology (BIT) Prosiding Seminar Nasional Program Pengabdian Masyarakat Jurnal Sistem Informasi Bisnis (JUNSIBI) Journal of Computer Science and Informatics Engineering Jurnal Teknologi Sistem Informasi Journal Of Human And Education (JAHE) sudo Jurnal Teknik Informatika Hello World Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Jurnal Sains dan Teknologi Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Indonesian Journal of Informatic Research and Software Engineering Sistem Pendukung Keputusan dengan Aplikasi Blend Sains Jurnal Teknik Data Sciences Indonesia (DSI) Journal of Artificial Intelligence and Digital Business Innovative: Journal Of Social Science Research Jurnal INFOTEL Jurnal Sistem Informasi dan Manajemen Journal of Law & Policy Review The Indonesian Journal of Computer Science Journal of Tropical Crop Science and Technology Impression : Jurnal Teknologi dan Informasi Jurnal Media Teknik Elektro dan Komputer Journal of Engineering and Science Application Environmental and Agriculture Management INOVTEK Polbeng - Seri Informatika LINGUISTS : JOURNAL OF LINGUISTICS AND LANGUAGE TEACHING
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Web-Based E-Business Application with Customer Data Encryption Feature to Protect Privacy at CV Jasa Karya Rizki Siregar, Lola Kamal; Ikhwan, Ali
The IJICS (International Journal of Informatics and Computer Science) Vol. 9 No. 2 (2025): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v9i2.8999

Abstract

This research presents the development of a web-based e-business application integrated with a data encryption feature using the Data Encryption Standard (DES) algorithm to protect customer privacy. The system is designed for CV Jasa Karya Rizki to manage customer and transaction data securely. DES encryption is implemented manually using PHP without relying on external libraries. The encryption process is applied during data input to ensure that only ciphertext is stored in the database. When data needs to be accessed, decryption is performed on-the-fly, allowing authorized users to view the original information securely. The application consists of core modules for managing customer data, transactions, products, and reports. Encryption and decryption functions are encapsulated within the system's main classes, enhancing maintainability and modularity. Testing results show that the DES implementation functions correctly, providing a secure data management workflow without negatively impacting system performance. This research demonstrates that classic encryption algorithms like DES can still be effectively applied in small-scale business environments to enhance data security and customer trust.
Palm Oil Quality Based on Free Fatty Acid Using SVM Prayogi, Andi; Aly, Moustafa H.; Ikhwan, Ali; Pane, Muhammad Akbar Syahbana; Siregar, Ratu Mutiara
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 9 No 2 (2025): August 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v9i2.24797

Abstract

Background: Palm oil is one of the key commodities in both the food and non-food industries, with its quality largely influenced by the level of Free Fatty Acid (FFA). Obejctive: High FFA content can reduce the stability and market value of the oil. Classify palm oil quality based on FFA levels using the Support Vector Machine (SVM) algorithm. Methods: FFA levels were measured across multiple samples with varying usage frequencies (0, 5, 7, and 9 cycles) using the alkalimetric titration method. The measured data was categorized as "Suitable" if FFA ≤ 0.3% and "Unsuitable" if it exceeded this threshold. The developed SVM model was trained using 70% of the data and tested with the remaining 30%. Results: Evaluation results indicate that the model achieved an accuracy of 95%, a precision of 92%, and a recall of 94%, demonstrating SVM's effectiveness in classifying data. Additionally, hyperplane visualization using PCA provided a clearer distinction between oil categories based on FFA levels. Conclusion: This study highlights that SVM can serve as an effective alternative for FFA-based palm oil quality classification. The implementation of this model is expected to enhance efficiency in the palm oil industry, particularly.
APLIKASI DESAKU BERBASIS ANDROID DENGAN MENGGUNAKAN METODE EXTREME PROGRAMMING (XP) PADA DESA BEKULAP Azahra, Kaila; Ikhwan, Ali
Simtek : jurnal sistem informasi dan teknik komputer Vol. 10 No. 2 (2025): Oktober 2025
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v10i2.1659

Abstract

Perkembangan teknologi informasi dan Internet of Things (IoT) mendorong digitalisasi layanan publik, termasuk di tingkat desa. Penelitian ini dilakukan di Desa Bekulap, Kecamatan Selesai, Kabupaten Langkat, yang masih menghadapi kendala dalam penyampaian informasi dan pelayanan administrasi karena sistem konvensional. Untuk mengatasi permasalahan tersebut, dirancang dan dikembangkan Aplikasi Desaku berbasis Android dengan menerapkan metode Extreme Programming (XP). Tahapan pengembangan meliputi perencanaan, perancangan, pengkodean, pengujian, hingga peningkatan perangkat lunak. Aplikasi ini dibangun menggunakan bahasa pemrograman Dart dengan framework Flutter pada sisi frontend, sedangkan backend memanfaatkan PHP dengan framework Laravel, serta database MySQL untuk pengelolaan data. Hasil penelitian menunjukkan bahwa aplikasi ini mampu menyediakan layanan administrasi online, memperluas akses informasi desa, serta meningkatkan interaksi masyarakat dengan pemerintah desa. Implementasi Aplikasi Desaku diharapkan dapat membantu digitalisasi pelayanan publik, meningkatkan efektivitas dan transparansi, serta mendorong partisipasi masyarakat dalam pembangunan desa.
Penerapan Algoritma Bellman-Ford Untuk Optimisasi Pengendara Dalam Menentukan Rute Terpendek UMKM Di Kabupaten Padang Lawas Julia Hasibuan, Putri Indah; Ikhwan, Ali
Bulletin of Information Technology (BIT) Vol 6 No 3: September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i3.2243

Abstract

This study designs a web-based Geographic Information System (GIS) using the Bellman-Ford algorithm to determine the shortest route for Micro, Small, and Medium Enterprises (MSMEs) in Padang Lawas Regency. The main problem faced by MSMEs is the limited and insufficient use of information technology. This condition makes it difficult for the public to find strategic MSME locations and the fastest routes to business sites, leading to low competitiveness and marketing inefficiency. To address this issue, the system was developed using the waterfall model and integrated with Leaflet JS technology, enabling broad accessibility through the web without additional installation. The Bellman-Ford algorithm was chosen for its ability to calculate the shortest path even when negative weights are present in the graph. Test results show that the optimal route obtained is 1.795 km, more efficient compared to an alternative route of 2.563 km, providing a distance saving of about 30%. The system has proven capable of delivering fast and accurate route recommendations while simultaneously presenting MSME location information interactively. The novelty of this research lies in the integration of Bellman-Ford with interactive web-based digital maps specifically for MSME promotion, which has rarely been applied in regional contexts. The purpose of this study is to improve marketing efficiency, expand accessibility, and strengthen the competitiveness of MSMEs in Padang Lawas. Furthermore, this research is expected to make a real contribution to the community in finding MSMEs more quickly and accurately..
Sistem Informasi Geografis Pemetaan Daerah Rawan Pangan Pada Dinas Ketahanan Pangan di Kabupaten Labuhanbatu Utara Dengan Algoritma Dijkstra Berbasis Web Almanda, Rico; Ikhwan, Ali
Bulletin of Information Technology (BIT) Vol 6 No 3: September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i3.2248

Abstract

Food security is a strategic aspect that determines community welfare and regional stability. In North Labuhanbatu Regency, 24 out of 82 villages and 8 sub-districts are still categorized as food-insecure. The main challenges include manual mapping processes and difficulties in determining the nearest food distribution routes, which make government interventions less efficient. This study aims to develop a web-based Geographic Information System (GIS) to map food-insecure areas and calculate the fastest distribution routes using Dijkstra’s algorithm. The system was developed using the waterfall model through observation, interviews, and literature studies. The test results show that the system can interactively visualize 24 food-insecure villages and recommend distribution routes with an average distance of 37.04 km and an average travel time of 37.35 minutes. These results are more efficient than manual methods, which tend to generate longer routes and higher travel times. The main contribution of this research is the application of Dijkstra’s algorithm in a web-based GIS for mapping food-insecure villages, which has not been implemented previously in North Labuhanbatu Regency. This finding is expected to support local governments in making strategic decisions regarding the acceleration of food distribution, thereby improving public services and strengthening community food security.
Implementasi Data Mining Market Base Analysis Menggunakan Algoritma Apriori Pada Cv. Hydropaint Medan Anwar, Fauzi; Ikhwan, Ali; Dafitri, Haida
Jurnal Ilmiah Wahana Pendidikan Vol 11 No 9.D (2025): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dalam era globalisasi yang serba modern teknologi semakin berkembang. Penggunaan komputer di berbagai perusahaan sudah tidak asing lagi. Sistem prediksi stok barang ini menjadi salah satu sistem yang dapat mengetahui pola pembelian konsumen dan mengkombinasikan barang yang sering dibeli dan dapat menentukan strategi promosi yang tepat untuk perusahaan. Proses pengolahan data transaksi masih dilakukan dengan cara mencatat pendataan barang, pendataan penjualan barang, dan masih memperkirakan barang yang akan dibeli untuk memenuhi persediaan barang pada gudang. Oleh sebab itu CV. Hydropaint Medan membutuhkan sistem berbasiskan web yang dapat menyelesaikan permasalahan pengolahan data untuk memudahkan pemilik usaha dalam menentukan stok barang yang ada di gudang. Metodologi penelitian Research and development (R&D). Metode pengembangan sistem menggunakan Rapid Application Development (RAD). Dalam kasus ini algoritma Apriori untuk proses transaksi. Kesimpulan penelitian ini yaitu, Dengan menerapkan metode Apriori, Perusahaan dapat mengatasi data stok barang barang lebih akurat dan persediaan barang berdasarkan permintaan pelanggan. Dengan adanya sistem yang baik, perusahaan dapat memberikan layanan yang lebih baik kepada pelanggan dan meningkatkan kepuasan pelanggan.
AN ANALYSIS OF THE USE OF GRAMMATICAL AND LEXICAL COHESION IN THESES WRITTEN BY UNDERGRADUATE STUDENTS MAJORING IN ENGLISH OF ISLAMIC UNIVERSITY OF RIAU Putra, Almalikul Ikhwanda
Linguists : Journal of Linguistics and Language Teaching Vol 4, No 1 (2018): July
Publisher : Universitas Islam Negeri (UIN) Fatmawati Sukarno Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29300/ling.v4i1.1656

Abstract

The purposes of this research were to find out (a) the occurrence and the percentages of the use of grammatical and lexical cohesion in theses written by undergraduate students majoring in English of Islamic University of Riau, (b) the errors found in the use of grammatical and lexical cohesion, (c) why students made errors in the use of grammatical and lexical cohesion. A content analysis design was used in this research. Content analysis is commonly used to analyze texts including interview transcripts, diaries, or document. The samples were 25 theses of undergraduate students majoring in English of Islamic University of Riau written between 2012 and 2016. The data were based on (1) document, in terms of first and fourth chapter of 20 theses written by undergraduate students majoring in English of Islamic University of Riau, (2) questionnaire to find out the causes of the errors in the use of grammatical and lexical cohesion. The results showed that (a) the highest occurrence and percentage of the use of grammatical and lexical cohesion was 47.50% on conjunction and the lowest was 0.07% on substitution, (b) The errors that students made in the use of grammatical and lexical cohesion are mostly in terms of collocation and repetition, (c) The reasons why students made errors in the use of cohesive devices in writing their theses were (1) the students still lack of grammar knowledge, and (2) the students also paid less attention to the use of cohesive devices in writing their theses.
SISTEM INFORMASI MANAJEMEN BARANG BUKTI KRIMINAL DENGAN ALGORITMA FEDERATED LEARNING UNTUK KEAMANAN DATA Andrea, Kiki; Ikhwan, Ali
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 3 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode September 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/7hg0zs72

Abstract

Sistem Informasi Manajemen Barang Bukti Kriminal (SIMBKK) berbasis Federated Learning dikembangkan untuk menjawab tantangan dalam pengelolaan barang bukti, khususnya terkait keamanan data, transparansi, dan efisiensi kerja. Sistem ini melibatkan tiga jenis pengguna, yaitu Admin yang bertugas mengelola akun serta mengawasi jalannya sistem, Penyidik yang berperan dalam menginput dan memperbarui data barang bukti, serta Atasan yang memiliki wewenang untuk memantau laporan dan memberikan arahan terkait tindak lanjut kasus. Dengan penerapan Federated Learning, sistem mampu menjaga kerahasiaan data karena proses pembelajaran dilakukan secara terdistribusi tanpa harus memusatkan data pada satu server, sehingga risiko kebocoran data dapat diminimalkan. Fitur utama SIMBKK meliputi login yang aman, input data barang bukti, manajemen pengguna, pencarian data, serta pembuatan laporan. Pengujian dengan metode blackbox menunjukkan bahwa seluruh fitur berjalan sesuai dengan harapan dan menghasilkan keluaran yang tepat. Implementasi SIMBKK terbukti mampu meningkatkan efisiensi alur kerja, memperkuat keamanan data, serta menghadirkan pengelolaan barang bukti yang lebih terstruktur. Sistem ini memberikan kontribusi nyata terhadap transformasi digital di lingkungan kepolisian melalui peningkatan akuntabilitas dan transparansi dalam manajemen barang bukti kriminal.
SISTEM INFORMASI GEOGRAFIS POHON KELAPA SAWIT PADA PERKEBUNAN SEI RUMBIA Hasanah, Dzulfiah Nadia; Ikhwan, Ali; Santoso, Heri
Jurnal Sistem Informasi Bisnis (JUNSIBI) Vol. 6 No. 1 (2025): Jurnal Sistem Informasi Bisnis (JUNSIBI)
Publisher : Program Studi Sistem Informasi Institut Bisnis dan Informatika (IBI) Kosgoro 1957

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55122/junsibi.v6i1.1538

Abstract

Kelapa sawit merupakan tanaman utama di Asia Tenggara, khususnya Indonesia, yang menghasilkan minyak sawit mentah (CPO) dalam jumlah besar. Perkebunan Sei Rumbia di Kecamatan Kota Pinang, Kabupaten Labuhanbatu Selatan, dengan luas 5000 hektare, menghadapi berbagai tantangan, termasuk kondisi lahan, iklim, dan masalah aksesibilitas akibat longsor. Saat ini, pengumpulan data di perkebunan ini masih dilakukan secara manual, yang menghambat efisiensi pengelolaan. Untuk mengatasi masalah ini, penelitian ini mengembangkan sistem informasi geografis (SIG) yang menggunakan Quantum GIS untuk mengonversi data kebun menjadi format GeoJSON dan memanfaatkan pustaka JavaScript Leaflet untuk visualisasi peta. Sistem ini memungkinkan pemetaan lokasi pohon kelapa sawit secara real-time, termasuk informasi tentang blok, divisi, dan kondisi lingkungan seperti suhu, kelembapan, curah hujan, dan tekanan udara. Hasil pengujian menunjukkan bahwa sistem ini efektif dalam memudahkan pengelolaan informasi dan monitoring persebaran perkebunan kelapa sawit, meningkatkan kualitas dan kuantitas produksi secara keseluruhan.
Implementasi Data Mining Pada Sistem Persediaan Obat Di Puskesmas Sei Berombang Dengan Metode Algoritma Apriori Dewi, Dewi Putri Ayu Andira; Ikhwan, Ali
The Indonesian Journal of Computer Science Vol. 11 No. 3 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i3.3112

Abstract

Puskesmas merupakan salah satu unit bantuan kesehatan pertama di Indonesia dan puskesmas merupakan tempat pertama untuk merawat kesehatan masyarakat dengan memberikan pelayanan dan pemberian obat sesuai dengan penyakitnya. Penyakit yang diderita langsung ditangani oleh paramedis dengan memberikan obat-obatan. Pentingnya persediaan obat di puskesmas akan menjadi prioritas terpenting yang harus distok untuk menghindari dan mengantisipasi kelangkaan obat. Strategi yang dapat dilakukan untuk mengatasi permasalahan stok obat di puskesmas adalah dengan mengikuti pola penggunaan obat dengan menerapkan data mining di puskesmas dalam memprediksi pola penggunaan obat dengan metode yang tepat menggunakan algoritma apriori yaitu bertujuan untuk mengetahui adanya keterkaitan asosiatif antara kombinasi produk satu dengan lainnya disebut dengan metode yang menerapkan aturan asosiasi. Sehingga puskesmas mengetahui obat yang paling banyak digunakan dan dapat memilah persediaan obat yang harus dipenuhi.
Co-Authors A.A. Ketut Agung Cahyawan W Abdillah, Muhammad Oemar Aceh, Kairul Abdi Adi Sutanto Adi Widarma, Adi Adlani, Farid Agung, Agung Prayoga Agus Zainudin Ahmad Rifai Aini, Nuriah Aisah, Nurkosrina Akbar, Dwi Hafizah Akila, Gadiel Naufa Alda, Muhammad Aliana A. Raof, Raflikha Alilmi, Dini Almanda, Rico Aly, Moustafa H. Alya, Rizwana Amanda , Bazlina Dini Amania, Fitria amri , hairul Amri, Hairul Andrea , Kiki Andrea, Kiki Aninda Muliani Annisa Aprilia Ardiyansyah, Agung Artika, Priti Rindi Aryo Pratama Asnawi, Azi Asyahri Hadi Nasyuha Atsil, Rayhan Alfatih Audiansyah, Wanda AULIA, FIRDA Aulia, Hasypa Awaliyana, Qurani awilo haryada, alwi Azahra, Kaila Azhar, Chairul Badri, Mohammad Bahij, Hilmy Asad Bancin, Haryanzelina Barus, Ananda Br Barus, Ananda Br Batubara, Ayu Azzahra Bi Rahmani , Nur Ahmadi Buyung Nasution, Adnan Chung, Meng-Yun Chuzaimah Chuzaimah, Chuzaimah Daramusseng, Andi Dewi, Dewi Putri Ayu Andira Diah Titi Muhardini Dyah Roeswitawati Endro Susilo, Endro Erfan Dani Septia Erny Ishartati Evi Kurniawati, Evi Fadhil, Said Muhammad Fadillah, Manja Fadillah, Muhammad Rizki Fadillah, Tasya Fahmi, Sigit Aditya Fahrian, Arris Fakhriza, M Fariz, Fariz Miftach Arif Nugraha Fatimah, Sati Fauzi Anwar Febriansah Siregar, Bayu Febryani, Nurhaliza Fitriani, Wini Allika Ginting, Raymond Erpindo Gunawan, Aldi H. Aly, Moustafa H.M. Edwar Juliartha Hadiyanto, Muhammad Hadiyanto Hafidz, Khairul Hafidz, Sefian Habil Hafizd, Daffa Al Hafizh, Muhammad Abdurrahman Haida Dafitri, Haida Handika, Riski Agung Harahap, Melinda Sari Harahap, Sania Mar'i Adnanda Harahap, Yulia Fatma Hasanah, Dzulfiah Nadia Hasibuan, Novrisyah Heri Santoso Herlangga, Ardy Putra Husnah, Zahratul Imam Ahmad Ismaya, Doni Febri Ivo Andriano Jannah, Tasya Miftahul Juarsyah, Muhammad Julia Hasibuan, Putri Indah Khairi, Ananda Salsabila Kharisma, Anugerah Iffanda Khoiriyah, Andin Nur Khosyi, Harits Al Lesmana, Reza Kurnia Listiani, Irma Lubis, Indah Pratiwi Lubis, Zaidah Nur Salamah Luthfi, Raihan Zacky Machmudi Maftuchah Maftuchah Mahayudi, Indra Putra Malik , Fahmi Faishal Manurung, Liza Alzahra Marpaung, Adetya Maharani Marwanta, Y. Yohakim Maudyna, Wilda Maulana, Dimas Krisna Mega Lestari Meilianasari , Khafifah Dwi Meiratnasari, Ayu Melis, Juliano van Melsya, Laura Mhd Amru Hidayat Miftahul Jannah Moh. Rasyid Ridho Mohammad Badri MP Editor, Ir. Dian Indratmi, MP Muhamad Alda Muhammad Akbar Syahbana Pane Muhammad Alfiansyah Muhammad Dedi Irawan Muhammad, Mar’ie Aqil Reyhan Muhidin Muhidin Mulya, Indah Syafitri Munawarah, Nadila Murni, Ira Muzammil, Abdullah Umar Nabila, Putri Nasution, Adnan Buyung Nasution, Muhammad Irwan Padli Nasution, Sahril Azmi Navea, Roy Francis Nayang, Chintya Neni Marlina Nst, Muhammad Taufik Akbar Nugraha, Rafli Khalis NUR FADILAH Nuri Aslami Oris Krianto Sulaiman Pakpahan , Aditya Kurniawan Pandapotan Nasution, Muhammad Cholis Pane, Ogie Ariansah Pasaribu, Hamidah Pramesti, Adinda Ayu Mega Pranata Erdiansyah, Novie Prasetya, Rizki Nanda Winata Pratama, Aryo Prayogi, Andi Pulungan, Kurniawan Purnama, Riyan Hidayah Putra, Muklas Adi Putri Paramadina Tanjung Putri, Masayu Wianda Rahadianto, Prabowo Rahmah, Junita Rahmawati, Revilda Ayu Raihan, Muhammad Syafiq Raissa Amanda Putri Ramadhan, Agung Wahyu Ramadhan, Muhammad Rizki Ramadhani, Citra Rambe, Santi Ariani Rani Antika Lubis Raof, Raflikha Aliana A. Ratu Mutiara Siregar Rayhannur, Muhammad Jaffar Raynaldi, Ahmad Ridho, Taufiq Ridho Alfikri Ridwan, Muhammad Rahul Ritonga, Reni Septiani Ritonga, Satria Habibi Ritonga, Siti Marlina Ritonga, Taufiq Alfiqri Riyan Hidayat Roro Kesumaningwati Rosmawati, Henny Safarudinsyah Safira, Nurul Safitri, Widya Ayu Salistiawaty, Widya Samsudin Samsudin Samsudin, Samsudin Sari Br Pa, Atika Sari, Fani Panca Sebayang, Nico Shiddiq Siregar, Fahreza Sholeh , Asmar Sibarani, Fathiya Hasyifah Sinaga, Imam Adlin Sinaga, Iman Adlin Sinambela, Sofiatu Zahro Siregar, Dinda Permana Siregar, Lola Kamal Siregar, Mhd. Dedi Hamonangan Siregar, Umi Kalsum Sitepu , Arjuna Sitompul, Surganda Sitorus, Apriyanti Anggraini Sofianda, Wahyu Solly Aryza Sri Hartati Sri Suartini Sri Yuniati Suendri Suendri, Suendri Suendri, Suendri Sufianto Sufianto Supianti P, Mahzuro Susanti - Diana Suyadi, Nadila Agnestesia Syahnur, Evan Alfian Syahputra, Adam Syaikhoni, Yusuf Syarif Husein, Syarif Syazwina, Azra Diro Syukri, Hamdan Tanjung, Sunilfa Maharani Taufiqurrahman . Tirta, Muhammad Prahmana Toar, Miftahul Jannah Uswatun Hasanah Utama, Arya Dwi Utama, Huzaefah Utami, Bunga Adella Widi Hartono WINDHA MEGA PRADNYA DHUHITA Yahfizham Yahfizham Yuanda, Ary Santri Yuliani, Ni Luh Nisa Yustria Handika Siregar Zainudin Zainudin Zaki , Alfasyahri ZR, Arya Andrian