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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 72 Documents
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Search results for , issue "Vol 6 No 2 (2023)" : 72 Documents clear
PEMANFAATAN SISTEM INFORMASI GEOGRAFIS BERBASIS WEB DALAM KASUS STUNTING MENGGUNAKAN FRAMEWORK LARAVEL Sri Azizah Nazhifah; Siti Nur Aisha; Muslim Muslim; Kikye Martiwi Sukiakhy; Junidar Junidar
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.v6i2.1095

Abstract

Stunting is a condition that affects the growth of toddlers and occurs when a child is two years old. One of the causes of stunting is a lack of nutritional intake over an extended period. In this case, stunting cases in Bener Meriah Regency rank as the third highest in Aceh province. One of the reasons is the lack of information received by the public regarding stunting. Several negative influences that can lead to stunting include insufficient nutritional intake during pregnancy or for toddlers over an extended period, low levels of education, as well as economic status and childcare services. Therefore, with the existence of this system, individuals affected by stunting can utilize the provided information to understand the distribution of stunting, plan more effective prevention and intervention measures. This WebGIS is built using Laravel, Leaflet, ArcGIS, and tested using a black box to check functionality, ensuring that the system runs smoothly. The testing results of the system show that it is reliable and can be used efficiently. Overall, the implementation of this system can have a positive impact on stunting intervention efforts in Bener Meriah Regency.
KLASIFIKASI PENYAKIT STUNTING DENGAN MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE DAN RANDOM FOREST Mahmin Banurea; Dinda Betaria Hutagaol; Oloan 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.v6i2.927

Abstract

This research aims to utilize machine learning technology, especially the Support Vector Machine (SVM) and Random Forest algorithms to classify stunting in children. Stunting is a condition where a toddler's growth and development is hampered due to malnutrition in the first 1,000 days of life. This research uses a dataset of 6,500 data on stunting sufferers with 8 attribute columns such as age, baby's weight, baby's body length, weight, height, etc. The results of this research show that the SVM algorithm provides an accuracy of 65.6% for testing data and 62.7% for training data, while the Random Forest algorithm provides higher accuracy, namely 88.2% for testing data and 98.8% for training data. The hypertuning process of the SVM algorithm succeeded in increasing accuracy up to 81%. This research contributes to efforts to deal with stunting in children through the application of machine learning technology. The results of this research can be used as a reference in developing more precise stunting prediction and prevention models.
IMPLEMENTASI REST API PADA APLIKASI PELAYANAN EMERGENCY PUSKESMAS BERBASIS WEB DAN MOBILE Alfandi Yahya Muhaimin; 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.v6i2.1021

Abstract

Bruno Community Health Center, is a health service facility located in Bruno. The aim is to provide first-class public health measures and individualized care for the local population. However, in the Bruno area there are still many villages that are far from the Community Health Center and there are limited four-wheeled transportation vehicles. This condition makes it difficult during emergency situations that can threaten a person's life, such as accidents or recurrence of serious illnesses such as heart disease that require immediate medical action. So a solution is needed for this problem. Therefore, from the results of this research, this research designs and builds a web and mobile-based emergency service ordering system which aims to make it easier for the public to order emergency services (ambulances) when an emergency occurs and there is also a consultation menu to provide convenience to the people who need it. will consult easily online. The method used in the research is the waterfall method. This system was built using a MySql database, and uses the Java programming language. The next step is to test it using the black box method. The test results show that the application is suitable for use.
IMPLEMENTASI AUGMENTED REALITY PENCARIAN KATEGORI BUKU RAK PERPUSTAKAAN BERBASIS MOBILE Amanda Ghina Nur Rahmayanti; 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.v6i2.1030

Abstract

This research aims to build an Augmented reality application that can display book category information and short descriptions in the form of 3D objects. When borrowing books at the library, new visitors often have difficulty finding the book they are looking for, which has an impact on the length of the book search process. This research was built with structured stages starting from problem identification to testing. This AR application will later be installed on the smartphone. This system will later be able to help library members find books to borrow or read by directing their smartphones to the book categories on the shelves. The findings from this research show that the LibraryAR application was successfully built and tested to determine the quality of the markers using Vuforia, which shows that the markers have a high rating value. Apart from that, testing was also carried out to determine the optimal distance for the markers to be detected, where all markers were successfully detected up to a distance of 50 cm. Based on these results, it shows that the LibraryAR application can be used to simplify and speed up the book search process.
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.
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.
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.
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.

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