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Contact Name
Sarida Sirait
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saridasrt@gmail.com
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+6281319494217
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saridasrt@gmail.com
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Jl. Sriwijya No. 9 C-E Pematangsiantar, Sumatera Utara
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Sumatera utara
INDONESIA
Jurnal Tekinkom (Teknik Informasi dan Komputer)
ISSN : 26211556     EISSN : 26213079     DOI : https://doi.org/10.37600/tekinkom
Core Subject : Science,
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.
Articles 407 Documents
PENERAPAN METODE REGRESI LINEAR MEMPREDIKSI TINGKAT PENJUALAN SEPEDA MOTOR HONDA PADA PT. PLATINA MULIA ABADI Palma Juanta; Saut Parsaoran Tamba; Windania Purba; Yoel Ferdinand Zai; Steven Steven; Elbert Ghozali
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.941

Abstract

This research aims to obtain predictions of Honda motorbike sales based on Honda motorbike sales data at PT. Platina Mulia Abadi is a company engaged in transportation and automotive services, especially sales of Honda motorbikes. The linear regression method is used to predict the number of sales of Honda motorbikes. The uncertainty in the number of sales of Honda motorbikes to this company has slightly hindered the company's development, because the company cannot take a definite policy regarding the sales that occur. Therefore, this company estimates future sales of Honda motorbikes for this company, so that management can estimate future consumer demand. So that the company is able to serve and provide consumer demand. To carry out estimates, the Multiple Linear Regression method is used. The results of this research obtained an estimated sales of manual motorbikes in 2023 in January of 64,003 or 64 units of Honda motorbikes in the manual category. This means that there is an increase in the number of manual Honda motorbikes by 8 motorbikes, while the results until May 2023 are 72,123 motorbikes. Through the application of this method, the estimated sales of Honda motorbikes in the next 5 months at PT. Eternal Precious Platinum can be done easily and quickly.
PENERAPAN AUGMENTED REALITY DALAM PENGENALAN PERALATAN MANUFAKTUR PADA PRODI TEKNIK INDUSTRI UNIVERSITAS UNIVERSAL Kaharuddin Kaharuddin; Musliadi KH; Kurniawan Hamidi; Ilwan Syafrinal
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.v7i1.1040

Abstract

An effective learning process to produce quality education requires supporting facilities such as adequate practicum media, Industrial Engineering Universal University currently has limitations with practicum media, especially in the introduction of industrial engineering manufacturing tools, therefore alternative media such as AR technology are needed. The purpose of this study is to determine the effectiveness of learning and the overall quality of education from the application of AR-based applications. The application of this technology can be developed using the Game Development Life Cycle (GDLC) method through several stages. The development results were randomly tested on 40 respondents by applying three indicator features and five statements used and obtained presentation values ranging from 78% to 81% user satisfaction before the application with strong presentation. While from the results of the analysis carried out on each indicator used, the first stage with the highest percentage is Usability, followed by functional indicators and user interface indicators at the lowest percent.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI USAHA COFFE SHOP MENGGUNAKAN METODE MOORA Selbi Amanda Aritonang; Decy Irmayani; Mila Nirmala Sari
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.730

Abstract

The coffee shop business in Indonesia has become a promising trend, considering the coffee drinking culture that involves various groups of society. This research aims to solve the problem of selecting a coffee shop business location for the community in Bagan Batu, Bagan Sinembah District, Rokan Hilir Regency, Riau Province. To make it easier to choose a coffee shop business location, this is done by building a decision support system that can help people easily choose a coffee shop business location. The decision support system was built using the Multi-Objective Optimization method based on Ratio Analysis (MOORA). The decision support system for selecting a coffee shop business location uses criteria consisting of location distance from the city center, level of competition, road conditions, parking area and rental price. From the results of data processing that has been carried out in the Decision Support System for selecting coffee shop business locations, the recommendation for the best business location with rank 1 is location_04 with a value of 0.20300, rank 2 is location_08 with a value of 0.18598, and rank 3 is location_08 with a value of 0.18566 . With this Decision Support System, potential coffee shop owners in Bagan Batu can easily and quickly choose the optimal location for their business.
RANCANG BANGUN APLIKASI UJI KEMIRIPAN GAMBAR AI GENERATIVE DAN GAMBAR BUATAN TANGAN MENGGUNAKAN METODE DEEP LEARNING Rifqi Alfaesta Prawiratama; Sumarno Sumarno; Irwan Alnarus Kautsar
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.v7i1.1192

Abstract

This research discusses the development of an application to test the similarity between AI Generative images and handmade images using deep learning methods. Artificial Intelligence (AI) technology has been applied to generative art through deep learning algorithms; however, there are still challenges related to copyright and originality of AI Generative art. The aim of this research is to develop an efficient model for classifying AI Generative art and handmade art. The classification model uses a Transformer approach, specifically exploiting the BEiT architecture, which shows highly satisfactory results in image classification tests. The high F1 score in each test reflects a good balance between precision and recall. The Transformer model outperforms previous methods using Convolutional Neural Network (CNN) and VGG16 models. It is expected that this model will be able to classify art more efficiently, assist in the detection of misuse, and mitigate legal risks related to copyright.
PERANCANGAN HELPDESK TICKETING SYSTEM BERBASIS WEB Aisyah Fatihah Amani; Fauzan Yahya; Wira Hadi Sidik; Nurhadian Nurhadian; Rivanto Bahtiar Putromi; Utami Mizani Putri
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.1096

Abstract

UTIPD often faces various problems, complaints, or requests from IT service users, when problems and complaints occur related to IT service activities, IT service users submit complaints and questions via telephone and WhatsApp, due to limited human resources and the number of complaints and questions that enter, IT staff often find it difficult to handle these problems. Therefore, a web-based helpdesk ticketing system was designed to simplify the process of reporting, assigning, resolving, and reporting complaints or requests for IT services at UTIPD. The method used in this design is RAD (Rapid Application Development) using UML (Unified Modeling Language) as a tool. The research stages include observation, interviews, literature studies, needs analysis, system design, and system implementation. This system was built using the PHP programming language and data storage using the MySQL database. The result of this research is a system that can be used to help UTIPD and IT service users in solving problems. This system is expected to improve staff performance and user satisfaction in providing and receiving IT services.
PEMANFAATAN TEKNOLOGI AUGMENTED REALITY SEBAGAI MEDIA PEMBELAJARAN PENGENALAN SATWA DI SEKOLAH DASAR Kinanti Ika Maharani; Adam Sekti Aji
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.1028

Abstract

The unsatisfactory quality of the teaching and learning process in the classroom can be ascribed to the students' limited attention during the animal introduction classes, which is further intensified by the lack of instructional media or resources. The predominant dependence on educators and printed educational materials as the principal means of accessing learning resources exerts a substantial impact on students' levels of motivation and their academic performance. One possible strategy for increasing student engagement entails the integration of educational applications that employ Augmented Reality (AR) technology. Augmented Reality (AR) is a technical advancement that replicates a virtual environment that closely resembles the physical world. This is achieved by employing the marker approach to generate three-dimensional (3D) objects. The current investigation employed a methodology based on marker tracking. This study produces an educational application that includes an introductory section on animals and concise information on several animal species. The primary objective of this application is to engage and captivate students by presenting the material in an engaging manner. The software application is designed to be compatible with the Android operating system. The application we created has proven to have the potential to display three-dimensional representations of animal objects graphically, complemented by voice explanations. The Animal Tracker application has the capacity to demonstrate the capabilities of Augmented Reality proficiently.
PENERAPAN METODE ANT COLONY OPTIMIZATION (ACO) DALAM MENENTUKAN JALUR ALTERNATIF SOLUSI KEMACETAN KOTA MEDAN William William; Rizky Syahputra Sitompul; Adilman Reliance Hia; Roy F. Hasudungan Malau; Saut Parsaoran Tamba; 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.v7i1.1221

Abstract

This research aims to analyze and implement the Ant Colony Optimization (ACO) method in determining alternative routes to reduce traffic congestion in Medan City. Against the background of significant congestion problems during rush hours, this research collects traffic data through surveys and observations to serve as input for the ACO algorithm. This method is inspired by the natural behavior of ants in searching for food, where ants collectively find the shortest route based on pheromone trails. Tests were carried out with variations in ACO parameters such as pheromone evaporation rate, number of ants, and iterations to analyze the effectiveness of alternative paths. The research results show that the application of this method can help reduce the burden on the road network and is proven to be able to reduce travel time by 37.5%, where the time needed from 40 minutes can be reduced to 25 minutes. The results of this research can contribute to the development of an intelligent transportation system that is adaptive to changes in traffic conditions and the needs of road users in the city of Medan.
MODEL LAYANAN CLOUD COMPUTING PADA SISTEM PENYEDIA UJIAN SEKOLAH DASAR Rifky Lana Rahardian; Wayan Andrika Putera; Kelsen Kelsen
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.912

Abstract

In practice, the application of technology in elementary schools is still very minimal. The process of daily exams or tests still uses a lot of paper which can endanger nature globally because cutting down trees is used as a basic ingredient in making paper. What's more, elementary schools are different from tertiary institutions which have a greater investment value in their business processes, so that elementary schools still maintain conventional school administration processes and have not yet implemented technology to support school administration processes and improve work efficiency. Currently the world is in a post-pandemic condition, where previously when the pandemic took place schools were conducted online. This shows the readiness of which schools are able to adapt quickly to a condition and seek technological solutions to support their business processes. Technology is considered important by parents today because with the existence of technology the teaching and learning process can always be handled properly and more efficiently. We need a system that can handle the problems that exist in SD by utilizing SAAS (Software As A Service) based Cloud Computing service technology. With the existence of this Cloud Computing service model, in the future it will not only become a place for many SDs but will become a business environment.
PENENTUAN KELAYAKAN PROMOSI PEGAWAI MENGGUNAKAN ALGORITMA RANDOM FOREST CLASSIFIER DAN XGBOOST CLASSIFIER Elvis Sastra Ompusunggu; Aleksander Nainggolan; Meri Kristina Sihombing
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.949

Abstract

Perkasa Internusa Mandiri is a company engaged in the field of Property Management. One of the problems employees to become permanent employees is that it still needs to be more effectives; this raises doubts in decision-making, allowing mistakes to occur. In this context, to solve problems at PT. Perkasa Intenusa Mandiri uses a classification algorithm to provide a more objective and transparent solution. This study aims to apply a data-based approach using the Random Forest Classifier and XGBoost Classifier algorithms to assess the feasibility of promoting contract employees to permanent employees. In this study, the Random Forest classification algorithm and the XGBoost Classifier have also produced good accuracy values, whereas the Random Forest has an accuracy of 86.8%. In comparison, the XGBoost Classifier has an accuracy of 83.5%. Both models have good performance (because the accuracy is above 80%) and can be implemented in real-world cases in the future.
PERANCANGAN ULANG UI/UX WEBSITE D’COFFEE CUP KE APLIKASI MOBILE DENGAN METODE DESIGN THINKING Icha Sinaga; Seftin Fitri Ana Wati; Anindo Saka Fitri
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.v7i1.1466

Abstract

D'Coffee Cup in Surabaya has implemented a web-based application for food ordering, yet it faces a significant issue due to the absence of direct payment features, resulting in long queues at the cashier. Initial usability testing revealed a score of 42.5 out of 100. A study utilizing the User Experience Questionnaire (UEQ) indicated low scores in attractiveness (-1.46), perspicuity (-1.15), efficiency (-1.65), dependability (-1.33), stimulation (-1.48), and novelty (-1.42), highlighting deficiencies in both the usability and aesthetics of the application’s UI design. Following a redesign process using the Design Thinking methodology (Empathize, Define, Ideate, Prototype, Testing), usability testing demonstrated a significant improvement with a usability score of 88, indicating an excellent level of usability. Additionally, UEQ testing results showed benchmark values for all six aspects above average: attractiveness (2.24), perspicuity (1.98), efficiency (2.15), dependability (1.93), stimulation (2.18), and novelty (2.03). Post-redesign usability testing demonstrated a significant improvement with a usability score of 88, indicating an excellent level of usability. Additionally, UEQ testing results showed benchmark values for all six aspects above average: attractiveness (2.24), perspicuity (1.98), efficiency (2.15), dependability (1.93), stimulation (2.18), and novelty (2.03).