cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sarida Sirait
Contact Email
saridasrt@gmail.com
Phone
+6281319494217
Journal Mail Official
saridasrt@gmail.com
Editorial Address
Jl. Sriwijya No. 9 C-E Pematangsiantar, Sumatera Utara
Location
Kota pematangsiantar,
Sumatera utara
INDONESIA
Jurnal Tekinkom (Teknik Informasi dan Komputer)
Published by Politeknik Bisnis Indonesia
ISSN : 26211556     EISSN : 26213079     DOI : https://doi.org/10.37600/tekinkom
Core Subject : Science,
Computer Science & IT
Jurnal TEKINKOM merupakan jurnal yang dimaksudkan sebagai media terbitan kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai isu Ilmu - ilmu komputer dan sistem informasi, seperti : Pemrograman Jaringan, Jaringan Komputer, Teknik Komputer, Ilmu Komputer/Informatika, Sistem Informasi, dan Multi Disiplin Penunjang Domain Penelitian Komputasi, Sistem dan Teknologi Informasi dan Komunikasi, dan lain-lain yang terkait. Artikel ilmiah dimaksud berupa kajian teori (theoritical review) dan kajian empiris dari ilmu terkait, yang dapat dipertanggungjawabkan serta disebarluaskan secara nasional maupun internasional.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 50 Documents
 1   2   3   4   5 
Search results for , issue "Vol 8 No 1 (2025)" : 50 Documents clear
APLIKASI PENTRACE UNTUK VULNERABILITY ASSESSMENT BERBASIS OWASP ZAP API Putri, Aulia; Hayadi, Bambang Herawan; Pratama, Gelard Untirtha
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.2342

Abstract

The increase in the number of cyber attacks in Indonesia highlights the need for adaptive and effective information security and vulnerability detection systems. This study aims to develop an Android application named PENTRACE capable of automatically assessing vulnerabilities by leveraging the OWASP ZAP API as the primary scanning engine. The methodology employed is Research and Development (R&D) using the Waterfall model approach, encompassing the stages of requirement analysis, design, implementation, testing, and evaluation. The application was built using Flutter and integrated with OWASP ZAP running on a virtual machine on Google Cloud Platform (GCP). The research results show that PENTRACE successfully detected various types of vulnerabilities such as SQL Injection, Cross-Site Scripting (XSS), and Remote Code Execution (RCE), and presented the scanning results in the form of visualizations. Additionally, the application provides a feature to download reports in PDF format. These findings indicate that PENTRACE is a practical, flexible, and sustainable mobile solution to effectively support the vulnerability assessment process.
PERANCANGAN USER INTERFACE SISTEM INFORMASI E-LEARNING MENGGUNAKAN METODE DESIGN SPRINT Helmawan, I Kadek Dwi; Paramitha, A.A. Istri Ita; Suyasa, I Putu Buda
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.1902

Abstract

This study aims to design a user interface (UI) for the e-learning information system at Universitas Primakara using the Design Sprint method, addressing the challenges posed by previous e-learning platforms, such as frequent maintenance and suboptimal user experience. The Design Sprint approach—comprising Map & Target, Sketch, Decide, Prototype, and Test—was implemented to produce a UI design that is user-centered, intuitive, and effective. Data collection involved interviews, observations, and literature studies, while usability testing was conducted using Maze and UEQ+. The resulting prototype, created in Figma, focused on the lecturer’s interface and included key features such as a simplified dashboard and responsive navigation. Maze testing of the login interface showed a 100% success rate with minimal misclicks and an average completion time of 2.9 seconds, indicating strong usability. UEQ+ results revealed a high score in Perspicuity (2.37), suggesting that users found the system easy to understand, while Stimulation scored lowest (1.47), highlighting the need for more engaging elements. The overall KPI average was 2.01 with a standard deviation of 0.76, reflecting high and consistent user satisfaction.
PERBANDINGAN ALGORITMA NAIVE BAYES DAN K-NEAREST NEIGHBORS DALAM ANALISIS SENTIMEN ULASAN PRODUK TOKOPEDIA Purba, Windania; Panjaitan, Markus Sahat Maruli; Dawner, Elgin; Lumbantoruan, Marselina Dahlia H.
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.1985

Abstract

This study aims to classify public opinions on educational issues expressed through the social media platform Twitter using the Naïve Bayes Classifier algorithm. This method was chosen due to its capability to categorize text data into positive, negative, and neutral sentiment categories based on the assumption of attribute independence. The data used consists of a collection of tweets relevant to the topic of education, which were analyzed through the stages of preprocessing, feature extraction, classification, and model evaluation. The results of the study indicate that the model is able to classify opinions with an accuracy of 73% based on the Confusion Matrix. Further analysis shows a precision of 85% for the positive category, 79% for negative, and 88% for neutral, while the recall for the positive category reached 77%. These findings suggest that the Naïve Bayes algorithm is fairly effective in processing public opinion from social media and can serve as a reference for understanding public perceptions regarding educational issues.
PREDIKSI WAKTU KELULUSAN MAHASISWA BERDASARKAN FAKTOR AKADEMIK DAN DEMOGRAFIS MENGGUNAKAN RANDOM FOREST DAN XGBOOST Supahri, Hafid Azis; Erlinda, Susi; Nasution, Torkis; Asnal, Hadi
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.2308

Abstract

Accurate graduation time is an important measure to illuminate how well the higher education system functions. Data from 10,000 students was used, including GPA, credits, age, gender, place of residence, employment status, economic status, and scholarship acceptance. Class imbalance in the data is addressed through the CRISP-DM and SMOTE methods. The evaluation results show that both algorithms have the capability to predict permit status with high accuracy; Random Forest achieved an accuracy of 91.95% and XGBoost 91.85%. Based on the precision, recall, and F1 score, both models demonstrate very good and balanced performance, with Random Forest being slightly superior in result stability. Therefore, Random Forest is recommended as the best model for graduation prediction. This research is expected to help colleges identify students who may graduate late to provide timely interventions.
PENGEMBANGAN SISTEM INFORMASI PENGARSIPAN KINERJA DOSEN ABK PRIMANIYARTA DENGAN METODE SDLC Setlight, Durand Fernandito Freddy; Supriyanto, Supriyanto; Canon, Lidya Juwita Pratiwi
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.2330

Abstract

The management and archiving of lecturer performance data are crucial for accountability, professional development, and meeting higher education accreditation standards. In many universities, like ABK Primaniyarta, the collection and archiving of performance evidence (e.g., teaching, research, and community service reports) are often done manually. One of the key needs for ABK Primaniyarta is an archiving information system or e-repository. Therefore, this research focuses on the design and development of a lecturer performance archiving system based on the Software Development Life Cycle (SDLC) using the Waterfall model, which includes requirements analysis, design, implementation, testing, and maintenance. In this application, document input will be performed by lecturers acting as administrators/users. The main objective of this application is to facilitate lecturers in submitting their performance data to each other and to ensure it can be properly archived. Data collection techniques involved interviews with lecturers and observations of the existing document reporting and archiving system at ABK Primaniyarta. The outcome of this research is an official web-based information system for archiving and reporting lecturer performance at ABK Primaniyarta, eliminating the need for Email & Google Drive.
ANALISIS PERBANDINGAN THROUGHPUT PADA SINGLE SERVER DAN CLUSTER SERVER MENGGUNAKAN LOAD BALANCING Farida, Farida; Azhari, Lukman; Kaaffah, Faiz Muqorrir; Wartono, Wartono
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.1660

Abstract

The rapid growth of internet usage has significantly increased the demand for web servers, necessitating efficient resource management solutions. To address this challenge, load balancing has become a crucial strategy for distributing incoming connection requests across multiple servers hosting the same content. This approach enhances performance and service reliability by optimizing workload distribution. This study aims to develop and evaluate a load balancing model using clustered servers to handle high workloads efficiently. The test results indicate that the clustered server system with load balancing consistently achieves higher throughput compared to a single-server-based system. In a single-server configuration, throughput ranges from 2,640 KB/s to 2,677 KB/s, while in a clustered server setting with load balancing, throughput improves to 2,704 KB/s to 2,731 KB/s. These findings underscore the importance of load balancing in ensuring optimal and efficient performance on web servers, both in local and distributed scenarios.
ANALISIS PENGEMBANGAN WEBSITE INTERAKTIF DAN USABILITY LAYANAN INFORMASI PENDAFTARAN PROGRAM BANTUAN PADA DINAS SOSIAL KOTA MEDAN Devraz, R.W.; Sitanggang, Jelita Sari; Pardede, Eva Damayanti; Sihombing, Oloan
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.1972

Abstract

This study suggests the development of an interactive website to improve user-friendly services and information and make registration for social assistance programs easier at the Dinas Sosial of Medan City. The main objective of the research is to address the problems that people often face: ineffective online registration process and lack of information about social assistance programs. The research method was conducted by creating a website with an easy-to-use user interface and testing it with user research methods to ensure that it was easily accessible and useful. The results show that a clear, complete, and easy-to-use website can increase transparency and public engagement in social assistance programs. Therefore, it is hoped that the creation of this interactive website will be an effective tool to improve the availability of information and services and make it easier for the public to get the assistance they need.
PENGEMBANGAN APLIKASI SURAT MENYURAT DARI KECAMATAN MEKAR BARU KE DESA BERBASIS MOBILE Noviyanti, Ayu; Aryono, Gagah Dwiki Putra; Auliana, Sigit
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.2367

Abstract

The objective of this research is to address issues with correspondence administration in Mekar Baru Subdistrict, which still uses physical documents, causing problems such as lost or damaged letters and difficulties in monitoring letter disposition in real time. The SiMekar mobile application was created using the Flutter framework and the Waterfall software development method as a solution. The main features of this application include incoming and outgoing letter management, digital disposition, real-time notifications, and role-based user authentication and authorisation. Interviews, observations, and documentation of administrative processes were used to collect data. The results of observations and testing show that all application functions operate in accordance with user needs, and the digitalisation of letter-writing processes using this application can enhance the speed, accuracy, efficiency, and transparency of letter management in sub-district governments. Therefore, the SiMekar application is a useful digital solution to support public administration transformation through the use of information technology.
ANALISIS SENTIMEN KOMENTAR YOUTUBE TENTANG DEMAM BERDARAH DENGUE MENGGUNAKAN NAIVE BAYES Rasyidin, Andi; Febriandirza, Arafat
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.2239

Abstract

This study aims to analyze public sentiment towards Dengue Hemorrhagic Fever (DHF), a disease that is still a serious health problem in tropical countries such as Indonesia. This problem is explored through sentiment analysis of 1.058 user comments taken from four YouTube videos related to DHF, symptoms, treatment, and recovery. Text preprocessing is applied to the comments, followed by sentiment labeling using InSet Lexicon, and classification using the Multinomial Naive Bayes algorithm. To address class imbalance, the SMOTE (Synthetic Minority Oversampling Technique) method is applied. The dataset is divided into three ratios (70:30, 80:20, and 90:10) to evaluate model performance using Balanced Accuracy, AUC Score, and G-Mean. The result show that the application of SMOTE significantly improves the model’s ability to classify the minority class. The best performance was achieved with a train-test ratio of 70:30, resulting in a Balanced Accuracy of 0.7818, an AUC Score of 0.9357, and a G-Mean of 0.8396. These findings indicate that the combination of Naive Bayes and SMOTE is effective for sentiment classification of imbalanced social media data and can support public health communication strategies
ANALISIS SENTIMEN MASYARAKAT INDONESIA TERHADAP PELUNCURAN DANANTARA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE Sari, Retno; Agustin, Agustin; Rahmiati, Rahmiati; Junadhi, Junadhi
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.2351

Abstract

As one of the latest innovations in Indonesia, the launch of Danantara has attracted public attention, especially the X (formerly Twitter) social media community. Understanding public sentiment about the launch is crucial due to the varied reactions. Using the Support Vector Machine (SVM) method as the primary classification algorithm, this study aims to examine how Indonesians perceive the launch of Danantara. Data collected through scraping techniques from social media posts were then processed through text preprocessing processes such as data cleaning, tokenization, and normalization. Categorizing sentiment into positive, negative, or neutral can be done using the signal variable model (SVM). The results show that the majority of the public has a certain sentiment towards the launch of Danantara, as the SVM model can classify sentiment very accurately. In the future, this study will help stakeholders understand public opinion and create better communication plans.

Page 4 of 5 | Total Record : 50

 1   2   3   4   5 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol 8 No 1 (2025) Vol 7 No 2 (2024) Vol 7 No 1 (2024) Vol 6 No 2 (2023) Vol 6 No 1 (2023) Vol 5 No 2 (2022) Vol 5 No 1 (2022) Vol 4 No 2 (2021) Vol 4 No 1 (2021): Jurnal Tekinkom Vol 3 No 2 (2020) Vol 3 No 1 (2020) Vol 2 No 2 (2019) Vol 2 No 1 (2019) Vol 1 No 2 (2018) Vol 1 No 1 (2018) More Issue