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All Journal Teknika Sistemasi: Jurnal Sistem Informasi JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Ilmu Komputer dan Bisnis JTIK (Jurnal Teknik Informatika Kaputama) Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JINAV: Journal of Information and Visualization Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Journal La Multiapp Instal : Jurnal Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal IPTEK Bagi Masyarakat Jurnal Sistem Informasi Bisnis (JUNSIBI) Journal of Artificial Intelligence and Digital Business Journal Of Informatics And Busisnes Jurnal Pengabdian Masyarakat Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Yusuf Ramadhan Nasution, Yusuf Ramadhan
Universitas Islam Negeri Sumatera Utara Medan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Analisis Sentimen Terhadap Kinerja Wakil Presiden Pada Tahun 2025 Menggunakan Metode Support Vector Machine Fani, Try; Nasution, Yusuf Ramadhan
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.v12i4.9021

Abstract

This study examines public perception of the performance of Indonesia’s Vice President in 2025 by utilizing opinion data from social media X/Twitter. The research addresses the lack of up-to-date quantitative insights into public sentiment polarity following the inauguration, particularly regarding Gibran Rakabuming Raka, whose appointment has sparked mixed reactions. The objective of this study is to classify sentiments as positive or negative and to evaluate the performance of the classification model on a corpus of user posts. The dataset consists of 898 tweets collected using the hashtags #wapres, #Gibran, and #WapresGibran. Data processing involved cleaning the text, converting all characters to lowercase (case folding), tokenization, normalization, removal of stopwords, and stemming. Feature representation was carried out using Term Frequency–Inverse Document Frequency (TF-IDF), while modeling was performed with the Support Vector Machine (SVM) algorithm. Results show 647 tweets with positive sentiment and 251 tweets with negative sentiment, indicating a generally positive tendency while maintaining some diversity of opinion. The SVM model achieved an accuracy of 80.68%, demonstrating reliable performance on high-dimensional textual data. These findings provide a concise overview of public opinion that can serve as a reference for policymakers and government communication strategies. The study’s main contribution lies in offering empirical evidence from social media on sentiment dynamics toward the Vice President’s performance, while also highlighting the effectiveness of combining TF-IDF and SVM in contemporary political sentiment analysis.
Application of the Dempster-Shafer Method for Diagnosing Paratyphoid Disease in Chickens Pasaribu, Defri Ananda; Nasution, Yusuf Ramadhan
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 2 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i2.26423

Abstract

Penelitian ini mengkaji penerapan metode Dempster-Shafer (DS) dalam mendiagnosis penyakit paratifoid pada ayam. Paratyphoid, yang disebabkan oleh Salmonella enterica serovar Paratyphi, memiliki dampak yang signifikan terhadap kesehatan unggas dan produktivitas peternakan. Proses diagnostik sering terhambat oleh kesamaan gejala dengan penyakit lain, membutuhkan metode yang mampu menangani ketidakpastian. Metode DS dipilih karena dapat menggabungkan bukti dari berbagai gejala untuk meningkatkan akurasi diagnostik. Penelitian ini menggunakan pendekatan Penelitian dan Pengembangan melalui tinjauan pustaka, pengumpulan data melalui observasi lapangan dan wawancara ahli, desain sistem, implementasi berbasis web menggunakan PHP dan MySQL, dan pengujian sistem. Data penelitian terdiri dari 12 gejala primer paratyphoid. Sistem ini diuji dengan 25 kasus uji dan mencapai tingkat akurasi 85% dibandingkan dengan diagnosis ahli. Temuan ini menunjukkan bahwa metode DS secara efektif mengelola gejala yang tidak pasti. Penelitian ini berkontribusi pada peningkatan efisiensi diagnosis penyakit unggas dan berpotensi mengurangi kematian ternak.
PERANCANGAN SISTEM OPEN SOURCE UNTUK PENETRATION TESTING PADA WEBSITE PORTAL AKADEMIK Al Farizi, Alif; Nasution, Yusuf Ramadhan; Alda, Muhamad
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4279

Abstract

Abstract:One technique for locating security flaws in information systems is penetration testing. This research aims to design and implement an open-source system that integrates several penetration testing tools to assess the security of the PortalSIA UINSU website. The tools used include Paramspider, Dalfox, Cyberfox, Sqlmap, and Penblood. The system is designed to perform parameter scanning, exploitation, and automatic reporting of test results in a structured manner. The results show that out of five tested URLs, most did not reveal significant vulnerabilities, except for some connectivity issues during the SQL injection testing stage. This system can be utilized as a tool to efficiently detect and analyze potential vulnerabilities in target websites.  Keyword:Penetration Testing, Open Source, Website Security  Abstrak:Salah satuteknikuntukmenemukankelemahankeamanandalamsisteminformasiadalahpengujianpenetrasi. Penelitianinibertujuanuntukmerancang dan mengimplementasikansistemsumberterbuka yang mengintegrasikanbeberapaalatpengujianpenetrasiuntukmenilaikeamanan situs web PortalSIA UINSU. Alat yang digunakanmeliputiParamspider, Dalfox, Cyberfox, Sqlmap, dan Penblood. Sisteminidirancanguntukmelakukanpemindaian parameter, eksploitasi, dan pelaporanotomatishasilpengujiansecaraterstruktur. Hasil penelitianmenunjukkanbahwadari lima URL yang diuji, sebagianbesartidakmengungkapkankerentanan yang signifikan, kecualibeberapamasalahkonektivitasselamatahappengujianinjeksi SQL. Sisteminidapatdigunakansebagaialatuntukmendeteksi dan menganalisispotensikerentanansecaraefisien di situs web target.  Kata kunci:PengujianPenetrasi, Open Source, Keamanan Situs Web 
Analisis Perbandingan Kompresi Citra Menggunakan Algoritma Run Length Encoding dan Algoritma Fixed Length Binary Encoding Lestari, Umi Hani; Nasution, Yusuf Ramadhan; Rusydi, Ibnu
TIN: Terapan Informatika Nusantara Vol 5 No 3 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i3.5560

Abstract

Technology is developing very quickly and will continue to increase, so it plays an important role in the process of sending information or data from one device to another. The speed of transmission depends on the size of the data to be sent. Data with a larger size requires a longer delivery time. The amount of storage space required increases as more files are stored. This has led to the development of file shrinking techniques, also known as data compression techniques, with the aim of minimizing the loss of data quality after transmission and reducing the amount of storage space required. Compression techniques have several algorithms that can be used to reduce file size. As in this research, the compression process is done with the run length encoding algorithm and the fixed length binary encoding algorithm. Both algorithms have different compression results, so it is necessary to make a comparison. To make the comparison, 6 grayscale image files with *.jpg extension are used with different resolutions and compare their performance according to predetermined parameters. The compression comparison results of one image data resolution of 300 x 300 in the Run Length Encoding algorithm has a Ratio of Compression (RC) 1.038792, Compression Ratio (CR) 96.266%, Redundancy (Rd) 3.734%, Compression time 399ms, and Decompression time 297ms. While the Fixed Length Binary Encoding algorithm has a Ratio of Compression (RC) of 1.37, Compression Ratio (CR) of 73.248%, Redundancy (Rd) of 26.752%, Compression time of 3258ms, and Decompression time of 1047ms. So from these results it can be said that the better performance in compressing images is the Fixed Length Binary Encoding algorithm compared to Run Length Encoding.
Peran Mahasiswa KKN UINSU Kelompok 39 Terhadap Penerapan Desa Inklusif Perkebunan Dolok Nasution, Yusuf Ramadhan; Linda, Nuramal; Octavia, Cindi; Harahap, Indah Uzrisa; Fadilah Lubis, Rizki Nur; Edji, Syahdani Nazwa; Aqillah H, Sayyidah; Rifda, Rifda; Wahyuda, Agung Taufik; Harahap, Fachrul Hanafi
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 4 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) Edisi September - Desembe
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i4.4255

Abstract

Penelitian ini bertujuan untuk mengeksplorasi peran mahasiswa Kuliah Kerja Nyata (KKN) dalam menerapkan konsep desa inklusif di Desa Perkebunan Dolok, Kecamatan Lima Puluh, Kabupaten Batu Bara. Desa inklusif dicirikan oleh pembangunan yang ramah terhadap semua lapisan masyarakat tanpa diskriminasi terhadap jenis kelamin, agama, ras, etnis, atau kebutuhan khusus. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi lapangan. Data dikumpulkan melalui observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa kehadiran mahasiswa KKN berperan dalam meningkatkan taraf pendidikan dan sosial di masyarakat Desa Perkebunan Dolok. Meskipun terdapat kendala, program kerja KKN berhasil dilaksanakan dan memberikan manfaat bagi masyarakat setempat di Dusun 1, 2, dan 3. Kesimpulannya, penerapan prinsip desa inklusif dapat membantu mewujudkan stabilitas dan kemajuan sosial yang berkelanjutan dalam masyarakat.
IMPLEMENTASI SISTEM INFORMASI MANAJEMEN WEBSITE PADA YAYASAN PERGURUAN IRA Ramadhan, Wahyu; Nasution, Yusuf Ramadhan; Sibarani, Fathiya Hasyifa
Jurnal Sistem Informasi Bisnis (JUNSIBI) Vol. 5 No. 2 (2024): 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.v5i2.1479

Abstract

Yayasan Perguruan IRA, sebagai sebuah institusi pendidikan yang terus berkembang, dihadapkan pada berbagai tantangan dalam pengelolaan informasi secara efektif dan efisien. Sistem Informasi Manajemen (SIM) dianggap sebagai solusi strategis dalam menangani kompleksitas administratif dan operasional yayasan. Penelitian ini bertujuan untuk merancang serta mengimplementasikan SIM yang mampu mengintegrasikan berbagai fungsi manajerial, termasuk administrasi siswa, keuangan, sumber daya manusia, serta pengelolaan aset. Metodologi yang digunakan dalam penelitian ini meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, dan evaluasi. Hasil penelitian menunjukkan bahwa penerapan SIM di Yayasan Perguruan IRA mampu meningkatkan efisiensi operasional, ketepatan data, serta kualitas pelayanan. Selain itu, sistem ini memfasilitasi proses pemantauan dan pengambilan keputusan yang lebih efektif bagi manajemen yayasan. Dengan demikian, SIM berperan sebagai instrumen vital dalam mendukung kemajuan serta profesionalisme Yayasan Perguruan IRA.
Sentiment Analysis of Reviews of Tourist Attractions in the Lake Toba Area Using the Naïve Bayes Method Wiranti, Yuke; Nasution, Yusuf Ramadhan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4287

Abstract

Lake Toba is one of the tourism destinations in Indonesia which is the main destination for domestic and foreign tourists. However, the natural beauty of Lake Toba is not enough to develop quality tourist destinations, so analysis needs to be carried out in order to develop tourist destinations that suit tourist needs with the aim of improving the economy from tourism, especially at Lake Toba. One aspect that must be analyzed is comments from tourists who have visited Lake Toba via various platforms. This is very influential for potential future tourists to have a reference for Lake Toba tourism. The analysis process can be carried out by analyzing comments using the Naive Bayes method so that managers of the Lake Toba tourist destination can improve tourist attractions and provide tourist satisfaction and develop various tourism innovations to meet various tourist needs in a sustainable manner. The results of the sentiment analysis of Lake Toba tourist reviews using Naive Bayes detected 31 positive labels, 378 neutral labels and 7 negative labels with an accuracy result of 77.49% from 1260 data, where training data was 1008 and test data was 252 data.
Wahdatul Ulum Course Mobile Application Using Software Development Life Circle (SDLC) Method Nasution, Yusuf Ramadhan; Hasugian, Abdul Halim
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.4092

Abstract

During a pandemic like now, ways to improve the quality of learning activities really require the application of technology and learning tools to support the process of teaching and learning activities. Technological developments make it easier to access existing learning tools. Today's learning tools must be accessible to many people and without any limitations of space and time. The application will be made as attractive and interactive as possible for its users. The application is designed to be mobile based and uses the Android operating system. Application development is supported by Google Android. The designed learning mobile device application includes syllabus, RPS, open materials and other supports. The application will be made as attractive and interactive as possible for its users. The application is designed to be mobile based and uses the Android operating system. Application development is supported by Google Android. The software development model used is the Software Development Life Circle (SDLC) model.
Application of Text File Steganography on Video using Least Bit Significant (LSB) Method Mellynda, Nabila; Nasution, Yusuf Ramadhan
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.3933

Abstract

In the era of rapid development of information technology, data security is a crucial aspect that must be considered. The transfer and storage of information involves various media, including text and video. Unfortunately, most data sent or stored tends to be vulnerable to security threats. The purpose of this research is to implement text file steganography on video using the Least Bit Significant (LSB) method that can be used to hide secret messages. The method used in this research are LSB and Waterfall development method. The results of the study concluded that the LSB algorithm can be used in the process of insertion and extraction of text messages on video, text messages in this study are text contained in a text file with the txt extension. Videos that have been inserted text messages will have an extension of mp4 and cannot be played on video file playback media, The application produced in this study can be run through a web browser application, The application in this study was built using Visual Studio Code software using the HTML and Javascript programming languages.
Analisis Sentimen Terhadap Kinerja Wakil Presiden Pada Tahun 2025 Menggunakan Metode Support Vector Machine Fani, Try; Nasution, Yusuf Ramadhan
JURNAL RISET KOMPUTER (JURIKOM) 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.v12i4.9021

Abstract

This study examines public perception of the performance of Indonesia’s Vice President in 2025 by utilizing opinion data from social media X/Twitter. The research addresses the lack of up-to-date quantitative insights into public sentiment polarity following the inauguration, particularly regarding Gibran Rakabuming Raka, whose appointment has sparked mixed reactions. The objective of this study is to classify sentiments as positive or negative and to evaluate the performance of the classification model on a corpus of user posts. The dataset consists of 898 tweets collected using the hashtags #wapres, #Gibran, and #WapresGibran. Data processing involved cleaning the text, converting all characters to lowercase (case folding), tokenization, normalization, removal of stopwords, and stemming. Feature representation was carried out using Term Frequency–Inverse Document Frequency (TF-IDF), while modeling was performed with the Support Vector Machine (SVM) algorithm. Results show 647 tweets with positive sentiment and 251 tweets with negative sentiment, indicating a generally positive tendency while maintaining some diversity of opinion. The SVM model achieved an accuracy of 80.68%, demonstrating reliable performance on high-dimensional textual data. These findings provide a concise overview of public opinion that can serve as a reference for policymakers and government communication strategies. The study’s main contribution lies in offering empirical evidence from social media on sentiment dynamics toward the Vice President’s performance, while also highlighting the effectiveness of combining TF-IDF and SVM in contemporary political sentiment analysis.
Co-Authors Abdul Halim Hasugian Akbar, Muhammad Zidan Al Farizi, Alif Al Khoir, Akhyar Aqillah H, Sayyidah Ayu Siregar, Silviana Budiarti, Dinda Edji, Syahdani Nazwa Fadilah Lubis, Rizki Nur Fadillah, Rini Fani, Try Fikri, Muhammad Ihsanul Hanafi, Muhammad Rizky Harahap, Ahdi Alfein Harahap, Fachrul Hanafi Harahap, Indah Uzrisa Hasibuan, Maria Hikmah Heri Santoso Hutabarat, Fatur Padilla Ibnu Rusydi Idris Siregar, Idris Ilka Zufria Lbs, Rahma Tania Mawaddah Lestari, Umi Hani Linda, Nuramal Marpaung, Hamdan Sudirman Maulida, Dzikra Mellynda, Nabila Mhd Furqan Muhamad Alda Muhammad Nazar Muhammad Siddik Hasibuan Nasution, Septiana Dewi Nisah, Anisah Nasution Nurdy, Ayu Mestika Octavia, Cindi Pasaribu, Defri Ananda Prananda, Dimas Raka Prayoga, Dio Putra, Irham Prasetyo Putri, Ajeng Kiana Rahim, Fitra Raissa Amanda Putri Ramadhan, Gema Rangkuti, M. Naufal Rifda, Rifda Ritonga, Tomi Riyadi, Bagas Yowan Sari, Shella Fahdila Sibarani, Fathiya Hasyifa Sinaga, Meri Suhardi Suhardi Suhardi, Suhardi Supiyandi Supiyandi Utami, Dian Aulya Wahyu Arli Wahyu Ramadhan Wahyuda, Agung Taufik Wiranti, Yuke