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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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PENGGUNAAN METODE MABAC PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI MAGANG TERBAIK Safitri, Nina; Bangun, Budianto; Sihombing, Volvo
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.v7i2.1541

Abstract

This study aims to develop a Decision Support System (DSS) based on the Multiple Attribute Boundary Approximation Area Comparison (MABAC) method to assist Labuhan Batu University students in choosing the best internship location. The main problem faced is the difficulty in determining a strategic and quality internship location due to limited resources. This study uses a quantitative descriptive method involving five main criteria: Location Distance, Company Reputation, Facilities, Suitability of the Internship Program with the Curriculum, and Work Environment. Data were collected through literature, expert consultation, and primary and secondary data analysis. Based on the results of data processing using the MABAC method in this study, 3 best internship locations were obtained, namely locations A9, A4, and A3. The results of the analysis using the MABAC method show the system's ability to provide internship location recommendations based on objective multicriteria assessments. The resulting system can help make it easier for students to choose an internship location that suits their needs.
ANALISIS PREDIKSI HASIL PRODUKSI TANAMAN CABAI MENGGUNAKAN METODE MULTI LINIER REGRESI Sahputra, Sahputra; Sembiring, Delima Chrismas; Sipayung, Ivan Hasadaon; Barus, Ertina Sabarita
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.v7i2.1512

Abstract

This study aims to predict the yield of chili plants in Indonesia using multiple linear regression method. In this study, the variables analyzed include irrigation volume, temperature, soil moisture, soil pH, and plant growth parameters such as stems, branches, and leaves. Data were collected from 100 chili plant samples planted in Jatikusuma Village, Deli Serdang Regency, for 63 days. The method used for the analysis is multiple linear regression, which is applied to produce a prediction model of harvest yield. Multi linear regression method is used to perform forecasting with the development of the dependent variable (Y), namely the amount of production with independent variables consisting of x1 = plant growth rate, x2 = moisture, x3 = temperature, x4 = volume, x5 = soil pH, x6 = stem, x7 = branch, x8 = leaf. The results of the prediction analysis in this study obtained the intercept coefficient value is 153.94 from the total data of 100 samples, resulting in the level of fit of the multi linear regression model with an R2 score of 1.00 which shows the level of accuracy in a prediction of these results is very good.
SISTEM BERBASIS WEB DALAM MENDUKUNG PROSES MUSYAWARAH PERENCANAAN PEMBANGUNAN DESA Yanuarti, Elly; Irawan, Devi; Wahyuningsih, Delpiah; Perkasa, Eza Budi; Pambudi, Dita Heru
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.v7i2.1640

Abstract

The Village Development Planning Meeting (Musrenbangdes) is one of the annual activities carried out by Pagarawan Village. The current system has not yet digitized the administrative process of implementing musrengbangdes. The submission of activity proposals by community members is still done manually using handwriting on a piece of paper. All processes are still paper-based, making them less effective and efficient. In the current era, web technology should be utilized to improve services to the community. This research will develop a web-based system to accelerate the process of village development planning administration services. The analysis and design method used is object oriented method with UML diagram tools. The system development method uses Rapid Application Development (RAD). The results of system testing are 100% valid so that this system is declared feasible to implement. This web-based system was developed in accordance with the needs and provides easy access for the community in Pagarawan Village, accelerates the process of processing data for village development planning meetings (musrenbangdes), data is stored properly and neatly and makes it easier to search for data and information.
APLIKASI PEMESANAN PADA TOKO SABLON BAJU MENGGUNAKAN METODE RAPID APLICATION DEVELOPMENT Sugeng, Jonny Kurniawan; Ikrimach, Ikrimach
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.v7i2.1664

Abstract

In today's digital era, advancements in information technology have had a significant impact on various sectors, including the business world. "Sablon Yogyakarta," a store offering custom t-shirt printing services, faces challenges in accommodating its expanding customer base, especially in handling orders and managing customer data. The current manual ordering process has proven to be inefficient, prone to errors, and susceptible to delays in processing orders and providing timely confirmations. This inefficiency can affect customer satisfaction and limit the store's operational effectiveness. To address these issues, there is a pressing need for a web-based ordering system that allows customers to place custom t-shirt orders online, easily selecting designs, sizes, and printing preferences. This system will streamline the order process, reduce human error, and enable better management of order and customer data. Additionally, it will facilitate faster communication between the store and customers, enhancing overall service quality and ensuring smoother transaction processes.
IDENTIFIKASI POLA TIDUR GENERASI Z (GEN-Z) MENGGUNAKAN ALGORITMA KLUSTERISASI K-MEANS Annisa, Riski; Rahayuningsih, Panny Agustia; Anna, Anna; Hidayana, Reymond Syahputra; Ramadhani, Zulfikar Ismaya
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.v7i2.1740

Abstract

Generation Z faces great challenges in maintaining healthy sleep patterns due to lifestyle changes and high exposure to technology. This study aims to identify the sleep patterns of Generation Z as well as the main factors that affect their sleep quality using the K-Means algorithm. Data was collected from 300 participants through an online questionnaire that included variables such as sleep duration, difficulty sleeping, caffeine consumption, electronic device use, physical activity, and freshness after waking up. With a clustering approach, the results of the study showed that there were three main patterns: irregular sleep patterns (45%), healthy sleep patterns (35%), and poor sleep patterns (20%). The cluster with healthy sleep patterns had an average of 7-8 hours of sleep, high physical activity, and low caffeine consumption, while irregular sleep patterns were less dominated by the use of electronic devices before bedtime, high caffeine consumption, and low physical activity. These findings highlight the importance of lifestyle management in improving the sleep quality of Generation Z and provide a basis for the development of more effective interventions. This study concludes that data-based clustering is a useful method to understand the sleep patterns of a particular population in more depth.
PENERAPAN INTERNET OF THINGS (IOT) UNTUK OPTIMASI PEMELIHARAAN TANAMAN RUMPUT RAJA SECARA REAL-TIME Manalu, Andi Setiadi; Siregar, Victor Marudut Mulia; Sugara, Heru
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.v7i2.1709

Abstract

This study aims to optimize the maintenance of King Grass plants by utilizing Internet of Things (IoT) technology for real-time monitoring. King Grass is known as a source of livestock feed with high productivity, but its maintenance often faces challenges such as environmental fluctuations and inefficient irrigation patterns. This study uses an ESP32 microcontroller integrated with a DHT22 sensor, soil moisture sensor, and automatic water pump, and utilizes the Thingsboard platform to monitor data in real time. The data collected includes air temperature, air humidity, and soil moisture, which are displayed through interactive widgets. The system was tested by simulating various environmental conditions, showing success in automating irrigation based on soil moisture thresholds. The test results show that IoT technology is able to improve plant maintenance efficiency, reduce manual intervention, and ensure optimal conditions for plant growth. The use of the Thingsboard platform facilitates data monitoring and analysis for further planning. This study concludes that the application of IoT to King Grass maintenance provides an effective solution in increasing agricultural productivity through accurate and efficient monitoring and control.
PERAMALAN KEBUTUHAN STOK SEMBAKO MENGGUNAKAN METODE TREND MOMENT Prasetya, Rafid Artur; Irawan, Joseph Dedy; Orisa, Mira
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.v7i2.1812

Abstract

Forecasting stock requirements is vital for grocery businesses to optimize inventory management and meet market demand efficiently. This study addresses the challenges faced by Toko Amah, a grocery store relying on manual stock recording prone to errors, by developing a web-based forecasting system. Utilizing the Trend Moment method, the system analyzes historical sales data to predict future stock needs with greater accuracy. The study aims to enhance inventory decision-making processes, reduce human error, and improve overall business efficiency. The system was evaluated by comparing forecasted stock with actual inventory data, yielding a Mean Absolute Percentage Error (MAPE) of 20.89%. While the results indicate acceptable accuracy, further refinement is needed to minimize prediction errors. This study concludes that the Trend Moment method provides a practical solution for stock forecasting, supporting more systematic and reliable inventory management in grocery businesses.
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.

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