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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 60 Documents
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Search results for , issue "Vol 7 No 1 (2024)" : 60 Documents clear
IMPLEMENTASI DATA MINING CLUSTERING DALAM MENGUKUR KEPUASAN TERHADAP PELAYANAN PERPUSTAKAAN DI UNIVERSITAS PRIMA INDONESIA Winda Nia Purba; Rinaldi Syahputra; Fine Reza Nainggolan; Gabriel Immanuel Manullang
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1213

Abstract

This research aims to measure student satisfaction with Prima Indonesia University library services using data mining methods. Clustering techniques are used to group student satisfaction data based on various attributes such as service quality, resource availability, facility comfort, and interaction with library staff. Data was collected through questionnaires distributed to students. The clustering results revealed significant patterns in student satisfaction, which were analyzed to identify key factors influencing satisfaction levels. These results provide library managers with valuable insights for optimizing services and increasing user satisfaction. The application of clustering data mining has proven effective in helping libraries understand student needs and preferences and plan service improvements more accurately and efficiently.
ANALISIS SENTIMEN ULASAN APLIKASI PEMBELAJARAN DUOLINGGO DI PLAY STORE MENGGUNAKAN DISTILBERT Syindy Mauliddiyah; M.Noer Fadli Hidayat; Fathur Rizal
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1395

Abstract

Learning media innovation is currently required to keep up with the development of science and technology. Duolingo is a free language learning application. Duolinggo has been downloaded more than 500 million times and recorded more than 21 reviews in the comments column consisting of positive and negative comments. Duolinggo user reviews are classified into two sentiments, namely positive sentiment and negative sentiment. Sentiment analysis is an activity used to analyze a person's opinion or opinion on a topic, to support the classification, the algorithm used is DistilBERT. DistilBERT is a technique of how to make the BERT model smaller, but has similar qualities to a large model, distilBERT can be termed as 2 running models, namely the teacher model and the student model, the teacher model is a large model and is trained with a complete range of features such as the base (pre-trained model) The results of the DistilBERT algorithm for classifying 1000 reviews of the Duolingo learning application produce precision, recall, f1-score values on class 1 labels are 74%, 96%, and 84%, indicating that this BERT algorithm is very good at predicting label classes. With the accuracy result obtained is 80% in 85 seconds.
PENERAPAN ALGORITMA NAÏVE BAYES UNTUK PREDIKSI PENERIMAAN KARYAWAN Intan Murni Pratiwi; Ahmad Fauzi; Santi Arum Puspita Lestari; Yana Cahyana
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1282

Abstract

The number of job seekers keeps growing, as does the quantity of companies that open job vacancies and offer opportunities to prospective employees. In terms of recruiting new employees, companies are very selective.. Companies are very selective in accepting prospective workers, where prospective workers must have qualifications that are in accordance with the positions needed in the company, because employees are an important asset in the growth and development of the company. because employees are an important factor in the growth and development of the company. Quality companies need good employees. This research uses employee recruitment data from PT Atma Darma Apta. The data has 372 rows and 8 attributes. The Naïve Bayes algorithm and the assessment techniques Mean Squared Error, Root Mean Squared Error, and R2 Score are used in this study. The results showed that the algorithm obtained good results by using a 90 to 10 data division resulting in a large accuracy value of 97.14%. In addition, the MSE, RMSE, and R2 Score values have quite good results, which are 2.86, 16.90, and 1.00. The 70 to 30 data division produces poor values with error values of 152.80 and 123.60, but the accuracy and R2 Score values are quite large at 96.15% and 0.95. With these results, this research can be continued into an application that can predict employee selection results.
IMPLEMENTASI WEB SERVICE UNTUK PLATFORM FREELANCE DIGITAL DENGAN METODE EXTREME PROGRAMMING Rayhanantha Akbar Putra Prasetyo; Irwan Alnarus Kautsar; Hamzah Setiawan
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1207

Abstract

Freelancing has been trending for a few years lately, this kind of job industry is game-changing with many different jobs vacant. Technologies that are established further give new opportunities for freelancing jobs, moving from attending the office to working at home or on our own time services. Web service is one of the most used technologies that have been spread over many uses, it is one of the Application Programming Interface (API) branches, such as providing data and storage of data, this usability helps in many ways of software development, some application required a way to secure their data usage, efficiency on distributing data, easy use for development sustainability and maintainability. Extreme programming is a fast-paced development method that adapts with requisites on developed applications, by using this method hoping to achieve a developed web service could help freelance industries by distributing integrated freelancer data on many freelancing platforms, in in-order to help freelancing platform develop their main features or such add-ons features to help freelancer promote their services within that platform.
IMPLEMENTASI WEB SERVICE REST API UNTUK PENCARIAN RUJUKAN ISLAM MENGGUNAKAN ELASTICSEARCH Fachrul Hakim; Nazruddin Safaat H; Lestari Handayani; Liza Afriyanti
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1314

Abstract

This study aims to develop a web-based search system for Islamic references using Elasticsearch, ExpressJS, and VueJS technology to facilitate access to valid religious information. During the data collection stage, the researcher gathered data from the Qur'an and 9 Hadith books in SQL file format. In the analysis and design stage, Elasticsearch technology was used for data search, ExpressJS for the backend providing the API, and VueJS for the frontend. Implementation involved configuring Elasticsearch and Logstash to process data in real-time. Testing was conducted using Black Box Testing, User Acceptance Test (UAT), and Postman to ensure system functionality. The results showed that the system operated well and received a score of 83% in the UAT, indicating it is suitable for use. This system enables efficient and valid searches for Islamic references, supporting better religious practices.
ANALISIS PENILAIAN KINERJA DOSEN MENGGUNAKAN METODE ADAPTIVE NEURON-FUZZY INFERENCE SYSTEM (ANFIS) Rut Ronauli Hutagaol; Aida Elda Afriza; Mohammad Irfan Fahmi
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1331

Abstract

This research examines the performance of lecturers at Universitas Prima Indonesia using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method to evaluate and enhance teaching quality. The research employs a quantitative approach, collecting data through observations, literature reviews, and questionnaires distributed to 100 students from the Faculty of Science and Technology. Four input variables used are pedagogical competence, professional competence, personal competence, and social competence. The collected data is analyzed using Matlab with ANFIS, which combines the capabilities of artificial neural networks and fuzzy logic to produce accurate predictions. The analysis results show that the ANFIS method is effective in measuring lecturer performance, with high validation results and low error rates. The ANFIS simulation indicates that the majority of lecturers fall into the "Quite Satisfied" category based on student assessments. This study is expected to make a significant contribution to improving the teaching quality of lecturers at Universitas Prima Indonesia through more accurate and technology-based performance evaluations.
APLIKASI PENJUALAN PRODUK IT DAN JASA SERVICE BERBASIS ANDROID DENGAN METODE MVVM Julianto Royand Wahyudi simanullang; Fransiskus Zoromi; Unang Rio; Torkis Nasution
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1241

Abstract

This research aims to develop an Android-based IT product and service sales application with the application of Model-View-Viewmodel (MVVM) architecture, using the Flutter Framework. In addition, this research involved the integration of Headless CMS technology for dynamic content management and LeafletJS map features for a more interactive user experience. Flutter framework is used as the main development tool to create responsive and efficient cross-platform applications. MVVM is adopted to separate business logic, user interface, and data management in a structured and maintainable way. Headless CMS technology allows content management without dependence on frontend structure, while LeafletJS map feature provides interactive location visualization. This research involves the process of developing a prototype application using Flutter and integrating it with Headless CMS and LeafletJS technologies. Evaluation was conducted on the responsiveness of the application, the reliability of integration with Headless CMS, and the user experience when using the interactive map feature. The research results are expected to contribute to the development of efficient and innovative IT product and service sales applications, especially in the context of using the Flutter Framework. The integration of MVVM, Headless CMS, and LeafletJS in the framework creates an application that is responsive, easy to maintain, and provides a better user experience through the interactive map feature.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI PENJUALAN DAN PERSEDIAAN DI UD DONGMART BERBASIS WEB Kadek Intan Janeta Pratiwi; Ni Made Satvika Iswari; Ni Putu Noviyanti Kusuma
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1409

Abstract

This study aims to address the issues of effectiveness and efficiency in transaction recording and data security at UD DongMart, a household goods trading business. The research method employed is Prototype approach, which is iterative and interactive, allowing users to provide feedback during system development. The stages include requirements analysis, system design using tools such as flowcharts, Data Flow Diagrams (DFD), and Entity-Relationship Diagrams (ERD), and prototype development using HTML, CSS, and Bootstrap. System evaluation was conducted through demo and guerilla testing, yielding positive user responses regarding the usability and design of the system. The findings indicate that the proposed information system successfully enhances transaction recording speed and accuracy, reduces data input errors, and improves data security, meeting the operational needs of UD DongMart and supporting small and medium-sized business growth.
ANALISIS PREDIKSI PENJUALAN IKLAN MEDIA MASA DAN ELEKTRONIK MENGGUNAKAN METODE LINEAR REGRESSION Adham Novalas Putra Wibisono; Nuril Lutvi Azizah; Yunianita Rahmawati
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1057

Abstract

Technology continues to evolve rapidly, especially in the field of data analysis. Advertising sales in print and electronic media are one of the main strategies to achieve profits. In the context of today's era, successful ad sales require accurate and valid data. Linear Regression (LR) is a data analysis technique that predicts the value of unknown data by using other related and known data values. Mathematically model unknown or dependent variables and known or independent variables as linear equations. The research "Analysis of Prediction of Mass and Electronic Media Advertising Sales Using the Linear Regression Method" will be improved so that it can be used to facilitate the evaluation process and profits on the sale of mass and electronic media advertisements. The author will develop an analysis of advertising sales in mass and electronic media using the linear regression method.
ANALISIS PERFORMANSI METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) DALAM PENGENDALIAN PERSEDIAAN SUSU Tajrin Tajrin; Hendra Hendra; Juan Fernando Gurning
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1222

Abstract

This study aims to address the issue of milk inventory control at PT. Indodairy Continental by applying the Autoregressive Integrated Moving Average (ARIMA) method. The uncertainty in milk demand, influenced by changes in consumer consumption patterns and market fluctuations, poses challenges in accurate production and distribution planning. This research uses historical milk sales data from the past several years to build an ARIMA model. The data undergoes several steps, including data collection and plotting, stationarity testing using ACF and PACF, differencing, and parameter estimation of the ARIMA model. The analysis results indicate that the data is stationary, and the ARIMA (1,0,0) model is selected as the best model based on the significance test. This model is used to forecast milk sales for the next six months. The predictions indicate an increase in monthly sales, allowing the company to optimize production and distribution processes, reduce costs, and improve customer satisfaction.

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