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All Journal 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 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
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Analisis Sistem Keamanan Data Pada Jaringan Tvri Sumut Untuk Meningkatkan Perlindungan Informasi Hasibuan, Maria Hikmah; Nasution, Yusuf Ramadhan; Riyadi, Bagas Yowan
Journal Of Informatics And Busisnes Vol. 1 No. 2 (2023): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i2.301

Abstract

In an era of rapidly developing information, it is very important to protect data, especially for institutions that handle sensitive data. With the aim of increasing data protection, this research concentrates on analyzing the data security system in the TVRI North Sumatra network. The main focus of the research was to find weaknesses in the existing security infrastructure, such as inadequate encryption procedures and weak password policies. Additionally, malware attacks and internal risks are discussed as potential security threats. There are advantages and disadvantages to evaluating current security protocols. Although some protocols, such as firewalls and intrusion detection systems, have proven successful, there is still room for improvement, especially in strengthening deeper layers of security and detecting more sophisticated attacks. This study emphasizes the importance of security awareness of TVRI North Sumatra employees and suggests training and awareness campaigns to reduce the dangers of social engineering. The results lead to policy updates, and proactive security measures. To implement these recommendations, an organized action plan and cooperation between departments is required. Regular regulatory updates, scheduled security monitoring, and investment in security technology are key to ensuring that data protection efforts continue. Overall, this research confirms that strengthening the security foundations of the TVRI North Sumatra network is critical to maintaining data confidentiality and maintaining its role as a reliable and secure information provider. This abstract provides a brief overview of the important elements of the research, provides solutions to problems encountered, and the general goal of improving data security in the TVRI North Sumatra network.
Analisis Kerentanan Keamanan Data Pada BAPELITBANG SUMUT: Upaya Penguatan Perlindungan Informasi Prananda, Dimas Raka; Nasution, Yusuf Ramadhan; Prayoga, Dio
Journal Of Informatics And Busisnes Vol. 1 No. 3 (2023): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i3.381

Abstract

The utilization of information technology inside the Research and Development Agency of North Sumatra (BAPELITBANG SUMUT) has a significant impact on data security. The objective of this study is to evaluate the issue of data security at the Research and Development Agency of North Sumatra (BAPELITBANG SUMUT) and propose solutions to enhance data security. Infrastructure technology, security policies, access management, and user awareness are components of vulnerability identification. Dalam rangka memperoleh pemahaman yang komprehensif mengenai tingkat efektivitas tindakan keamanan yang telah dilaksanakan, diperlukan suatu evaluasi terhadap system keamanan yang sedang berjalan. In addition, the study assesses the extent to which BAPELITBANG SUMUT complies with the applicable security regulations. This study provides a foundation for enhancing data security comprehensively by designing and implementing efforts to improve information protection, such as security policy updates, infrastructure enhancements, and user training. Pengujian dan evaluasi implementasi upaya penguatan digunakan untuk menilai tingkat efektivitasnya. The objective of this study is to provide guidance for similar institutions in enhancing their data security and contribute to the literature on local government data security management. The results indicate that measures to enhance data security are necessary to ensure the integrity, confidentiality, and availability of data managed by BAPELITBANG SUMUT..
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.
Workshop Pembuatan Media Ajar Berbasis Augmented Reality di Yayasan Perguruan Mamiyai Al-Ittihadiyah Medan Zufria, Ilka; Nasution, Yusuf Ramadhan; Suhardi
Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2023): Juni 2023
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v2i1.80

Abstract

Information technology has developed very rapidly and covers various fields. The education sector is one area that is influenced by information technology. Both in the formal learning process at school and non-formal in the form of training outside of school. The form of participation from universities, especially the Computer Science study program FST UIN North Sumatra Medan in this community service activity is providing skills training in the field of Augmented Reality to create learning media for teachers at the Mamiyai Al-Ittihadiyah Medan College Foundation. The activity was held with the theme "Workshop on Making Teaching Media Based on Augmented Reality.
Grouping Diseases of Patients at RSU Mitra Medika Bandar Khalippa Medan Using the K-Medoids Clustering Method Putri, Ajeng Kiana; Nasution, Yusuf Ramadhan
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 8 No. 1 (2024): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v8i1.5583

Abstract

The aim of this research is to apply the methodK-Medoisin categorizing the illnesses of patients at the RSUBandar Khalippa Medika PartnersMedan. And to produce a system for grouping patient data based on Rapidminer and Google Colab on patient diseases.Based on the results of research on the application of the K-Medoids algorithm, it was found that the grouping of patient diseases at RSU Mitra Medika Bandar Khalippa used the RapidMiner application with a C0 (High) cluster of 3 diseases, a C1 (Medium) cluster of 6 diseases and a C2 (Low) cluster of 1 disease. Meanwhile, using the Google Colabs application with a C0 (High) cluster of 3 diseases, a C1 (Medium) cluster of 4 diseases and a C2 (Low) cluster of 3 diseases. The results of grouping patient disease data at RSU Mitra Medika Bandar Khalippa using RapidMiner, it was found that the disease with the highest grouping (C0)is a diseasePulmonary tuberculosis, Essential Hypertension and Diabetes Mellitus. Whereasgrouping patient disease datawith Google Colabs it was found that the disease with the highest grouping (C0)is a diseaseBronchus Or Lung, Trachea, Bronchus And Lung and Pleural Effusion. Keywords: Disease Grouping, RSU, MethodsK-Medois.
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.
Prediksi Penjualan Produk Pepsodent Unilever dengan Algoritma K-Nearest Neighbor Maulida, Dzikra; Nasution, Yusuf Ramadhan
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5718

Abstract

In the era of globalisation and increasingly fierce market competition, companies are striving to improve their operational efficiency and marketing strategies to maintain market share and increase revenue. PT Unilever Tbk, as one of the multinational companies that operates various types of consumer products, including dental care products such as Pepsodent, requires reliable sales prediction to maximise its product performance in the market. The main objectives of this research are to apply the K-Nearest Neighbor method to Unilever pepsodent products in a prediction model that can preprocess pepsodent product data for the last 1 year using Rapid Miner and to measure the accuracy of Pepsodent product sales predictions. The data used is the number of stocks, types of pepsodent, sales, seasonal factors. From the results of analysis and evaluation, it can be concluded that the prediction accuracy in the K-NN algorithm is able to provide fairly accurate sales predictions for Pepsodent Whitening products with a value of 161, 186, 165 equally 114. Pepsodent Economy with a value of 982 predictions 1021, a value of 638 and 774 predictions are both 927. Pepsodent Herbal with a value of 173 predicted 193 and a value of 129 and 118 predicted values are both 207. Accurate sales predictions are helpful in production planning and marketing strategies, which in turn can improve operational efficiency and customer satisfaction. The K-NN algorithm proved to be effective in this case, although proper selection of the K parameter is essential to obtain the best results.
Expert System for Diagnosing Pests on Oil Palm Seed Plants Using the Certainty Factor Method Fikri, Muhammad Ihsanul; Nasution, Yusuf Ramadhan
Journal La Multiapp Vol. 5 No. 2 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i2.1303

Abstract

Indonesia is one of the largest countries producing palm oil. The problems that often arise in oil palm seedlings are pest attacks. Oil palm seedlings diagnosed with pest attacks can be characterized by existing symptoms. Based on the phenomena that occurred, researchers created a system for diagnosing pests in oil palm seed plants, so that they could diagnose quickly and find solutions to pest problems in oil palm seed plants. This research uses a development method called waterfall. The design of this research is to plan an Expert System for Diagnosing Pests on Oil Palm Seed Plants Using the Certainty Factor Method. Based on the tests that have been carried out, the results are that the community or farmers on oil palm plantations can easily diagnose pests on oil palm seed plants in real time as long as they are connected to the internet to help diagnose pests on oil palm seed plants. Testing of the expert system showed a high level of accuracy in diagnosing pests on oil palm seedlings. The level of suitability accuracy reached more than 90%. With this expert system, oil palm plantation management can be improved significantly. Early detection of pest attacks will reduce the losses incurred and allow more effective preventive measures to be taken.
Implementasi Algoritma ChaCha20 Pada Pengamanan File Citra Bitmap Rahim, Fitra; Nasution, Yusuf Ramadhan; Supiyandi
JURNAL FASILKOM Vol. 14 No. 3 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i3.7956

Abstract

Kemajuan teknologi informasi telah mempermudah pertukaran citra digital, termasuk format bitmap seperti BMP dan PNG. Namun, format citra ini tidak memiliki fitur keamanan bawaan, sehingga rentan terhadap akses tidak sah. Untuk mengatasi hal ini, algoritma stream cipher ChaCha20 dieksplorasi sebagai solusi alternatif yang ringan dan efisien dalam mengamankan citra bitmap. ChaCha20 bekerja dengan menghasilkan keystream dari blok initial state berukuran 512-bit melalui operasi quarterround, yang memungkinkan enkripsi dan dekripsi data secara cepat tanpa mengorbankan keamanan. Hasil penelitian menunjukkan bahwa ChaCha20 efektif dalam mengamankan citra, terbukti dari perbedaan mencolok antara citra asli dan terenkripsi, yang terdeteksi melalui pengamatan visual dan analisis histogram. Dari 20 citra yang didekripsi, 18 di antaranya identik dengan citra asli, sedangkan dua lainnya mengalami perubahan ukuran berkas dan warna piksel yang tidak kasat mata, yang disebabkan oleh perbedaan interpretasi codec OpenCV. Ukuran berkas lebih memengaruhi waktu pemrosesan dibandingkan formatnya, dan analisis kinerja enkripsi-dekripsi menunjukkan perbedaan waktu yang minimal pada sebagian besar sampel ChaCha20, mengindikasikan stabilitas performa algoritma ini. Setiap ciphertext mengalami peningkatan ukuran 12 byte untuk penyimpanan nonce di akhir berkas. Selain itu, format PNG mengalami peningkatan ukuran file hingga 2.704%, menunjukkan adanya inefisiensi dalam kompresi data terenkripsi. Oleh karena itu, penelitian lanjutan disarankan untuk melakukan pengoptimalan & efisiensi kinerja sistem serta menambah dukungan format JPG dan GIF, agar memberikan manfaat yang lebih luas dalam pengamanan file citra. Penambahan ini akan meningkatkan penerapan algoritma pada berbagai jenis file citra yang umum di industri.
PERBANDINGAN METODE AUTOREGRESIF INTEGRATED MOVING AVERAGE (ARIMA) DAN ALGORITMA MONTE CARLO UNTUK MEMPREDIKSI SUATU HARGA BAHAN POKOK Rangkuti, M. Naufal; Nasution, Yusuf Ramadhan; Hasibuan, Muhammad Siddik
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2315

Abstract

Abstract: The most frequently consumed staple food by humans is staple food which is a mandatory menu for humans. Staple food is also commonly called sembako which is an abbreviation of nine staple foods whose names are already familiar to Indonesia. Autoregressive Integrated Moving Average (ARIMA) and Monte Carlo use data from the Medan City Trade Office. Based on the Monte Carlo method, the price prediction results using the application produce price prediction results in the range of 12000 to 13000 on the first, fifth and sixth days worth 13000 and the other days are 12000, then when the MSE value calculation is carried out with the predicted price and actual price, the Monte Carlo method produces an MSE value of 300000. Then based on the Arima Method when the data stationarity test is carried out, the ACF and PACF plot tests are obtained, the possible models are Arima (1,1,0), Arima (2,1,0), Arima (3,1,0), Arima (0,1,1), Arima (1,1,1), Arima (2,1,0) and Arima (3,1,0). Then when the best model test is carried out by comparing the smallest MSE value in the possible models, the best model is the Arima method with Model 3,1,1 which produces a stable price prediction at a price of 12000 in the price prediction forecast on day 1 to day 10. And when the predicted price calculation is carried out with the actual price, it produces an MSE value of 0. Keywords: Website, Staple Materials, Arima, Monte Carlo Methods, Python. Abstrak: Bahan pokok yang paling sering dikonsumsi oleh manusia adalah bahan pokok yang merupakan menu wajib untuk manusia. Bahan pokok juga biasa disebut dengan sembako yang merupakan singkatan dari sembilan bahan pokok yang namanya sudah tidak asing lagi bagi Indonesia. Autoregressive Integrated Moving Average (ARIMA) dan Monte Carlo menggunakan data dari Dinas Perdagangan Kota Medan. Berdasarkan metode Monte Carlo, hasil prediksi harga dengan menggunakan aplikasi menghasilkan hasil prediksi harga dalam rentang 12000 hingga 13000 di hari pertama, kelima dan ke enam senilai 13000 dan hari lainnya adalah 12000, kemudian ketika di lakukan perhitungan nilai MSE dengan harga prediksi dan harga actual, metode Monte Carlo menghasilkan nilai MSE sebesar 300000. Kemudian berdasarkan Metode Arima ketika dilakukan uji stasioneritas data, uji plot ACF dan PACF didapatkan model memungkinkannya adalah Arima (1,1,0), Arima (2,1,0), Arima (3,1,0), Arima (0,1,1), Arima (1,1,1), Arima (2,1,0) dan Arima (3,1,0). Lalu ketika dilakukan pengujian model terbaik dengan membandingkan nilai MSE terkecil pada model yang memungkinkan tersebut, model terbaiknya adalah metode Arima dengan Model 3,1,1 yang menghasilkan prediksi harga yang stabil di harga 12000 pada peramalan prediksi harga pada hari ke 1 hingga hari ke 10. Dan ketika dilakukan perhitungan harga prediksi dengan harga aktual menghasilkan nilai MSE sebesar 0. Kata kunci: Website, Bahan Pokok, Metode Arima, Monte Carlo, Python  
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 Ramadhan Wahyuda, Agung Taufik Wiranti, Yuke