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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 60 Documents
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Search results for , issue "Vol 7 No 2 (2024)" : 60 Documents clear
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI SPBU MENGGUNAKAN MOOSRA Harefa, Sinema; Sihombing, Volvo; Juledi, Angga Putra
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1537

Abstract

This study aims to develop a decision support system (DSS) based on the Multi-Objective Optimization on the basis of Simple Ratio Analysis (MOOSRA) method in determining the optimal location of Public Fuel Filling Stations (SPBU) in Kubu District, Rokan Hilir, Riau. The main issue faced is the selection of SPBU locations involving various criteria such as accessibility, population density, level of competition, potential for economic growth, and supporting facilities. The MOOSRA method was chosen because of its ability to manage various criteria objectively and systematically. In this study, an analysis of several alternative SPBU locations and calculations using a normalized matrix were carried out to produce location rankings. The results showed that the best alternative location was A3 with the highest ranking, followed by A4 and A1. By implementing MOOSRA-based DSS, the process of selecting SPBU locations in Kubu District, Rokan Hilir, Riau becomes more efficient and objective.
PENGGUNAAN TEKNOLOGI AUGMENTED REALITY SEBAGAI ALAT UNTUK MEMPROMOSIKAN PARIWISATA BERKELANJUTAN Siregar, Victor Marudut Mulia; Damanik, Erikson; Manalu, Andi Setiadi; Siringo-ringo, Eko Deswin; Parapat, Eka Pratiwi
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1558

Abstract

This study aims to develop interactive tourism promotion media using Augmented Reality (AR) technology to increase the attractiveness of Sipolha Tourism Village as a leading destination in the Lake Toba area. Sipolha Village has great tourism potential but is not widely known compared to the surrounding areas. The research method used is design and development research which includes the design, development, implementation, and evaluation of an application called PAR Sipolha. This application presents 3D visualizations of local tourist attractions in an immersive manner and allows tourists to obtain information interactively. The prototype was developed using Blender for 3D object creation and Unity 3D with Vuforia Engine for AR integration. Implementation and testing were carried out with local communities and tourists to evaluate the effectiveness of the application. The results of the study show that the PAR Sipolha application is able to improve the tourism experience, provide interesting information, and support the promotion of sustainable tourism in Sipolha Village. This application is expected to be a model for the development of technology-based tourism in other tourist villages.
PERBANDINGAN ALGORITMA C4.5 DAN NAÏVE BAYES UNTUK KLASIFIKASI PENERIMA BEASISWA BANK INDONESIA SUMATERA SELATAN Putri, Indah Arsita; Indah, Dwi Rosa; Firdaus, Mgs Afriyan; Sari, Purwita
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1733

Abstract

This study aims to compare the performance of the Decision Tree (C4.5) and Naïve Bayes algorithms in classifying Bank Indonesia scholarship recipients based on data from the 2023-2024 academic year. The CRISP-DM methodology was applied, with model evaluation conducted using 10-fold cross-validation and metrics such as accuracy, precision, recall, and F-measure. The results indicate that the Decision Tree (C4.5) algorithm outperformed Naïve Bayes, achieving 82.70% accuracy, 98% precision, 84.07% recall, and a 90.5% F-measure. In comparison, Naïve Bayes obtained 82.21% accuracy, 97.43% precision, 83.99% recall, and a 90.2% F-measure. Although the Decision Tree (C4.5) requires slightly longer analysis time, it proved to be more effective for this classification task. This study concludes that Decision Tree (C4.5) is the most suitable method for supporting scholarship selection processes, providing new insights into applying data mining technology to improve selection efficiency and accuracy.
MODEL KLASTERISASI DATA PENDUDUK MENGGUNAKAN ALGORITMA K-MEANS UNTUK MENGETAHUI PRIORITAS PENERIMA BANTUAN SOSIAL DI DESA BAPINANG HULU Yunita, Selviana; Bachtiar, Lukman; Saputri, Dewi
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1588

Abstract

Central Kalimantan has a poor population of 140.04 thousand people with a poverty percentage of 5.16%. The poverty severity rate reaches a value of 0.15, with a poverty line of 506,982 IDR/Capita/Month. Bapinang Hulu Village in Central Kalimantan has around ±428,895 people in 2021. This large population makes it difficult to determine the priority of social assistance recipients, coupled with limited human resources in the village office. Data collection on social assistance recipients is still carried out based on the proposal of the RT head without proper validation, often causing social jealousy. This study aims to optimize the distribution of social assistance in Bapinang Hulu Village using the K-Means algorithm for grouping population data. The dataset consists of 246 records with 14 attributes that reflect the conditions of the head of the family in the village. The K-Means algorithm was chosen because of its ability to group data based on attribute similarities. Testing was carried out 12 times with variations in the K value to determine the optimal clustering. The results show that in the 12th test with a value of K = 13, the lowest Davies-Bouldin Index (DBI) value of 0.072 was obtained. This shows that clustering at K = 13 is optimal in terms of separation between clusters and density within clusters. Clustering helps identify community groups that need social assistance the most, provides more accurate recommendations for the priority of social assistance recipients, so that the distribution of assistance is more targeted and effective.
ANALISIS BUSINESS INTELEGENSI PENGARUH KECERDASAN EMOSIONAL TERHADAP KINERJA KARYAWAN ALGORITMA REGRESI LINIER Sitorus, Zulham; Syahputri, Maulisa; Nainggolan, Andreas Ghanneson; Sibarani, Dina Marsauli; Nahampun, Natalia; Putra, Khairil
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1215

Abstract

Prima Indonesia University is a leading private university in the city of Medan, operating in the education sector which applies Business Intelligence to its management system. This research was conducted using the Linear Regression Algorithm to measure the influence of Emotional Intelligence on Employee Performance at Prima Indonesia University, totaling 212 data. The data used in this research is employee performance history data for the last 5 years. Next, the Linear Regression Algorithm is applied to the processed dataset. The research results will later show that the Linear Regression Algorithm is able to produce quite accurate measurements. The results of this research can show how much emotional intelligence influences an employee's performance. Thus, the Linear Regression Algorithm can be a solution in evaluating the influence of Emotional Intelligence on Employee Performance, and can provide long-term recommendations for increasing the productivity of Employee Performance at Prima Indonesia University.
PENERAPAN TEKNOLOGI BUSINESS INTELLIGENCE DALAM MENINGKATKAN STRATEGI PENJUALAN DENGAN METODE OLAP PADA CAFÉ LE KAHVE Sipayung, Arif Richardo Idola; Zendrato, Nur Eni; Marbun, Timo Adelina; Telaumbanua, Jeremia Nicholas; Sihombing, Oloan
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1529

Abstract

This research aims to develop a data warehouse system and information dashboard based on Business Intelligence (BI) technology with the OLAP method to improve sales strategies at Le Kahve, a coffee shop company. The BI implementation uses Pentaho Data Integration for the ETL (Extract, Transform, Load) process and Microsoft Power BI for dashboard visualization. The ETL process is carried out to collect, process, and link sales data obtained from the Point of Sales (POS) system in Excel format. The data is then processed into a data warehouse using a star schema, which facilitates multidimensional analysis. Through the OLAP method, sales data is analyzed across various dimensions such as product, time, and payment method. The data visualization results in the form of a dashboard enable the company to quickly view sales performance and make more effective decisions. This dashboard provides information on best-selling products, product categories, and sales trends over time. The research results show that by implementing BI and OLAP, the company can improve operational efficiency, accelerate analysis, and support decision-making to enhance sales strategies and company competitiveness.
PENERAPAN METODE FORECASTING DENGAN ALGORITMA SUPPORT VECTOR MANCHINE UNTUK MEMPREDIKSI PENERIMAAN PESERTA DIDIK BARU PADA SMA ULUN NUHA Tajrin, Tajrin; Sembiring, Sinly Helpingky Sulam; Ndruru, Sabar Krismonata
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1525

Abstract

This study aims to develop a prediction model for new student admissions at Ulun Nuha High School using the Support Vector Machine (SVM) algorithm. Ulun Nuha High School faces the challenge of fluctuating numbers of applicants every year, which affects resource allocation and strategic planning. The SVM algorithm was chosen because of its ability in classification and regression, so it can identify patterns and trends from historical student admissions data. This study uses data from 100 students with 20 data as the main sample, covering four main variables: Indonesian, Mathematics, Science and Social Studies scores, and memorization. The application of the SVM algorithm in Python obtained prediction accuracy results of 100% from 20 data samples and the results of testing the prediction data resulted in students with registration number 23021 getting a pass result and students with registration number 23022 getting a failure result. The results of the study show that the SVM model can predict the number of new students with high accuracy, close to the real results from historical data. This model provides significant benefits in planning more effective, efficient, and measurable student admissions.
ANALISIS GERAKAN MATA UNTUK DETEKSI ALZHEIMER: STUDI KOMPARATIF LIMA METODE UTAMA Ziegel, Dennis Jusuf; Indra, Evta
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1598

Abstract

In the digital era, eye-tracking technology has emerged as a valuable non-invasive tool for assessing neurological and cognitive functions. This review explores five key methods for evaluating Alzheimer’s Disease (AD) using eye-tracking: fixation and saccade analysis, pupil size measurement, task-specific eye-tracking, reading task analysis, and novelty preference scores. Fixation and saccade metrics reveal significant disruptions in visual scanning and information processing in AD patients, characterized by longer fixation durations and reduced saccade frequency. Pupil size measurements indicate diminished cognitive load and emotional responsiveness. Task-specific eye-tracking, including tasks such as image description, shows difficulties in maintaining focus and interpreting visual stimuli. Reading task analysis highlights increased fixation durations and backward saccades, reflecting challenges in text comprehension and information retention. Novelty preference scores suggest reduced interest in new stimuli, correlating with cognitive decline. These findings underscore the potential of eye-tracking metrics for early detection and monitoring of AD, though variability in eye movement patterns and additional factors like sleep disorders emphasize the need for comprehensive diagnostic approaches.
PERANCANGAN BASIS DATA SISTEM PENENTUAN HARGA OPTIMAL DASTER DENGAN FUZZY LOGIC Runtukahu, Winona Charisda; Trisnawarman, Dedi
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1834

Abstract

Optimal pricing in the fashion industry can affect product competitiveness in the market such as sales levels and profits earned by the company. This research develops a web-based decision support system using the Fuzzy Logic method to determine the optimal price of negligee. The purpose of this research is to design and implement a decision support system that can help daster business actors in determining the optimal selling price. The research method used is based on the System Development Life Cycle (SDLC) with a prototyping model to develop a decision support system for analyzing the optimal pricing of daster products and analyzed using fuzzy logic methods to manage uncertainty and provide more flexible decisions based on existing data. Based on the research that has been done, it is concluded that the Fuzzy Logic-based Decision Support System (DSS) is an effective solution for managing these uncertainties, using linguistic variables such as “cheap”, “medium”, and “expensive”. As a result, this system is able to provide price recommendations that are evidence-based, fast, and responsive to market changes, thus helping businesses increase profitability and product competitiveness.
PERANCANGAN APLIKASI PERPUSTAKAAN BERBASIS MOBILE DENGAN LAYANAN FAQ MENGGUNAKAN CHATBOT Pramudya, Fillah Aby; Aji, Adam Sekti
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1336

Abstract

This study explores the development of a mobile-based library application equipped with an FAQ chatbot to enhance the efficiency of library management at SMA Negeri 2 Tumijajar. The application is designed to facilitate user access to library services such as book searches, borrowing, and returning, while also providing automated responses to frequently asked questions. The research employs the Research and Development (R&D) method, encompassing several stages: needs analysis, design, development, testing, and evaluation. Testing results indicate that the application features an intuitive interface, functions effectively across various devices, and is regarded as user-friendly by both library staff and students. Furthermore, the chatbot service has proven to be effective in addressing common inquiries, thereby reducing the workload of library staff. The study concludes that the mobile-based library application with an FAQ chatbot significantly improves the efficiency of information services and library management. Recommendations for future research include optimizing chatbot algorithms and enhancing application compatibility with various devices.

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