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Sarida Sirait
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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 407 Documents
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LITERATURE REVIEW OPTIMALISASI PENGELOLAAN SUMBER DAYA DAN MITIGASI RISIKO MELALUI BUSINESS INTELLIGENCE: PENDEKATAN STRATEGIS Siregar, Sarah Veronica; Tjahjono, Budi; Nurjannah, Nurjannah; Basyarewan, Humairoh
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.v7i2.1285

Abstract

Rapid business developments require organizations to be smarter in managing resources and reducing risks in order to remain competitive. This study aims to explore the strategic role of Business Intelligence (BI) in helping organizations achieve these goals. Through a comprehensive literature review, this study analyzes various BI tools and techniques used to optimize resources, such as labor, finance, and materials, and identify risks early. The results show that BI can improve operational efficiency by providing data-based insights, supporting better decision-making, and proactively mitigating risks. BI can help organizations monitor financial data in real time to prevent the risk of loss, or predict energy needs to prevent waste. In addition, a strategic approach to implementing BI, such as choosing the right tools and involving leaders, is a key factor in success. This study concludes that BI has great potential to help organizations become more resilient and efficient, while providing practical guidance for companies that want to use BI to manage resources and risks effectively.
KINERJA ALGORITMA BACKPROPAGATION DAN RNN DALAM PREDIKSI BEBAN JARINGAN Annisah, Wulan Nur; Harani, Nisa Hanum; Habibi, Roni
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1586

Abstract

Bandwidth allocation optimization is crucial to ensure optimal network performance and user satisfaction. This research aims to identify the best machine learning algorithm between backpropagation and recurrent neural network (RNN) in predicting network load, using two different datasets. The main issue addressed is how to choose the right algorithm for network load prediction to optimize bandwidth allocation. The CRISP-DM methodology was used as the research framework, with four evaluation metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). The results showed that the backpropagation algorithm provided the best performance on the data with the lowest evaluation matrix: MAE 0.0203, MSE 0.0007, RMSE 0.0281, and MAPE 20%. In conclusion, the backpropagation algorithm is more suitable for predicting bandwidth requirements compared to RNN based on the evaluation metrics used, making it reliable for bandwidth allocation optimization.
MODEL JARINGAN SARAF TIRUAN UNTUK PREDIKSI PERMINTAAN PRODUK UMKM DI PEMATANG SIANTAR Sonang, Sahat; Sinaga, Kalvin
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1849

Abstract

This study aims to develop an Artificial Neural Network (ANN) model in predicting demand for MSME products in Pematangsiantar to optimize production and inventory management. The main problem faced by MSME actors is demand uncertainty which causes excess or shortage of stock, thus affecting business efficiency. The ANN model is applied with a guided learning approach using the backpropagation algorithm to analyze demand patterns based on historical sales data. Data were obtained from the Cooperatives and MSMEs Office of Pematangsiantar City and interviews with business actors. The research process includes data collection and pre-processing, variable selection, data sharing, model development, training, optimization, and evaluation using the Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percent Error (MAPE) metrics. The results of the study show that the ANN model with the backpropagation algorithm is able to provide accurate demand predictions, with a MAPE value below 10%, which indicates very good forecasting. The implementation of this model helps make it easier for MSMEs to make strategic decisions related to production and inventory, thereby increasing competitiveness in the market.
IMPLEMENTASI METODE CUSTOMER SATISFACTION INDEKS DALAM ANALISIS KEPUASAN PASIEN TERHADAP PELAYANAN KLINIK SALSABILA Alfiarini, Alfiarini; Apriadi, Deni
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1328

Abstract

To support government programs in improving the quality of human resources through quality health services. Good service quality can be seen from the following factors, the first is physical evidence where customers will see direct evidence of the service provided, the second is reliability, namely the extent to which the company has a level of reliability in providing services, the third is responsiveness, where the service is provided. provided quickly, precisely and the information conveyed is clear, the third is guarantee, namely the service provided can provide trust and confidence, the fifth is empathy, where the company tries to understand what customers want. Currently, the Salsabila Clinic still has difficulty measuring the level of satisfaction with the services provided to patients, so the level of satisfaction cannot be measured whether the services provided are in line with expectations or not. To measure the level of service quality, there are many methods that can be used, one of which is the Customer Satisfaction Index (CSI) method. The results of measurement calculations using the CSI method can be used to determine the level of patient satisfaction with staff service, cleanliness and facilities at the Salsabila clinic. The results of this research are the patient satisfaction index for Salsabila Clinic services of 78% with a Satisfaction Likert scale
PENGEMBANGAN APLIKASI MOBILE UMKM UNTUK MENINGKATKAN PENJUALAN DAN JANGKAUAN PASAR Sirait, Erwin; Purba, Arifin Tua
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1848

Abstract

Micro, small, and medium enterprises (MSMEs) play a crucial role in the Indonesian economy, including in Pematangsiantar City, which has more than 29,000 MSMEs. However, MSMEs face various challenges, such as tight competition, limited market access, and lack of adoption of digital technology. This study aims to develop a mobile application for MSMEs to improve operational efficiency, expand market reach, and increase competitiveness. The methods used include literature studies, data collection from local MSMEs, flowchart and ERD-based system design, and application testing to ensure its functionality. The application developed has key features such as product management, digital transactions, and integration with logistics partners and payment systems. The results of the study show that digitalization through mobile applications can increase market reach, accelerate transactions, and provide convenience in business management for MSME actors. Thus, digital transformation through this application has the potential to be an effective solution in increasing MSME growth and supporting business sustainability in the digital era.
ANALISA PERANCANGAN UI/UX APLIKASI ABSENSI BERBASIS MOBILE MENGGUNAKAN METODE USER CENTERED DESIGN Aditya, Reinaldi; Kurniawati, Laela
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1671

Abstract

In the digital era, information systems play a crucial role in business operations, including in hospitals. Kartika Pulo Mas. Currently, employee attendance using fingerprints has several problems, such as long queues, identification difficulties, and high investment and maintenance costs. To overcome this problem, an online-based mobile attendance application was developed. However, the main challenge is UI/UX design that is less than optimal, thereby reducing user comfort and efficiency. The aim of this research is to design a User Interface for a mobile attendance application that suits user needs. This research uses the User Centered Design method, which consists of 4 stages, namely understanding the context of use (Understand context of use), specifying user requirements (Specify user requirements), designing design solutions (Design Solutions Process), and evaluating the design against user needs (Evaluate against requirements). Testing was carried out using the System Usability Scale method to meet user needs. The questionnaire distributed used a Likert scale and was answered by 21 respondents. The results of the design evaluation concluded that the final SUS score calculation result was that the average score obtained was 87.5, which is Grade A. This indicates that users are very satisfied with the mobile attendance application.
ANALISIS ULASAN APLIKASI TINDER MENGGUNAKAN ALGORITMA NAÏVE BAYES DENGAN OPTIMASI INFORMATION GAIN Ayyubi, Vieri Nurgracie Al; Utami, Nengah Widya; Dewi, Eka Grana Aristyana
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1518

Abstract

Current technological developments are very rapid, including the scope of developments in information and communication technology. In this digital era, there are more and more types of applications, the existence of this online dating application makes it efficient and effective for people to interact by utilizing the application features available in the application, one of the applications is Tinder. The Tinder application is one of the most downloaded online dating applications, namely 67 million downloads. Users who download the Tinder application can provide reviews or comments on the application with the features provided on Google Play. Seeing the importance of reviews on an application, it is necessary to carry out sentiment analysis which aims to find out how Indonesian users respond to the online dating application Tinder through reviews on Google Play. The algorithm used to classify sentiment is the Naïve Bayes algorithm with the addition of feature selection with Information Gain. The research methodology used is Knowledge Discovery in Database. The results of research using the Naïve Bayes method get an accuracy of 68%, while using the Naïve Bayes method using the Information Gain feature selection gets an accuracy of 78%. Using the Naïve Bayes method using Information Gain feature selection produces higher accuracy results than without using Information Gain feature selection.
PENERAPAN K-MEANS CLUSTERING UNTUK SEGMENTASI WILAYAH BERDASARKAN JUMLAH KEJADIAN BENCANA ALAM DI SUMATERA UTARA Manalu, Christ Natamaro Anastasius; Pasaribu, Yuni Rumyanti; Malika, Salsa; Tamba, Saut Parsaoran
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.v8i1.1977

Abstract

North Sumatra is a disaster-prone province in Indonesia, frequently affected by floods, landslides, and extreme weather events. This study employs the K-Means Clustering algorithm to classify 33 districts/cities in North Sumatra based on disaster frequency. The results reveal three distinct clusters: Cluster 0 (low risk), Cluster 1 (high flood and extreme disaster risk), and Cluster 2 (high landslide risk). Model validation using a silhouette coefficient of 0.63 and the elbow method confirms the reliability of the clustering. These findings provide a scientific basis for region-specific disaster mitigation strategies, emphasizing infrastructure development for flood-prone areas and slope stabilization for landslide-prone zones. Future research should incorporate socioeconomic factors and temporal analysis to enhance disaster risk assessment.
PEMODELAN ARSITEKTUR SISTEM INFORMASI PRESENSI UNIVERSITAS PRIMAKARA MENGGUNAKAN UNIFIED MODELING LANGUAGE DENGAN METODE SCRUM Yuliani, Ni Kadek; 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.v8i1.1898

Abstract

In the digital era, information technology development is essential for various institutions, including universities. As educational institutions, universities require efficient systems to support administrative activities, such as attendance management. This research focuses on designing an employee attendance information system for Primakara University using the Scrum method and Unified Modeling Language (UML). Scrum was chosen for its adaptive and iterative approach, enabling development through sprints with regular evaluations. UML served as a visual modeling tool to systematically structure system elements, including use case diagrams, activity diagrams, sequence diagrams, and database structures. The Scrum method was implemented over four months with 8 sprints, conducting two weekly meetings to ensure iterative progress. The research resulted in one use case diagram, 16 activity and sequence diagrams, as well as Entity-Relationship Diagrams (ERD) and physical data models. These outputs provide a structured overview of system flow and data architecture. This approach facilitates effective communication between the development team and stakeholders while delivering a comprehensive system design. The application of Scrum and UML in this study demonstrates a practical framework for building efficient, systematic, and adaptable attendance management systems, meeting the needs of modern educational institutions.
PENGEMBANGAN APLIKASI AR BERBASIS ANDROID UNTUK PENGENALAN TOKOH PAHLAWAN UANG KERTAS INDONESIA Bachtiar, Andi; Yuliana, Irma
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.v8i1.2082

Abstract

This research focuses on the development of an Android-based Augmented Reality (AR) application to introduce Indonesian national heroes featured on banknotes to sixth-grade elementary school students. The issue addressed is the lack of student interest and limited learning media regarding the history of national heroes, which often results in low engagement and retention. The research aims to enhance students’ historical knowledge and interest through interactive technology. The development method used is the Multimedia Development Life Cycle (MDLC), which includes stages such as concept, design, material collection, assembly, testing, and distribution. The application utilizes Vuforia SDK and Unity 2D as its main development tools, enabling users to scan banknotes and display 2D animations and information of the corresponding national hero. Testing was conducted using black-box testing to evaluate functionality, and user acceptance testing involving students and teachers to assess usability. The results showed that the application successfully functioned as intended and received positive responses from users, indicating improved student engagement and learning outcomes. This study demonstrates that AR-based educational tools can effectively support history learning in a more engaging and interactive way.

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