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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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KOMPARASI METODE ALGORITMA KLASIFIKASI PADA ANALISIS SENTIMEN KOMENTAR CYBERBULLYING DI INSTAGRAM Deny Setiawan Wijaya; Destriana Widyaningrum
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.v7i1.1392

Abstract

Cyberbullying is aggressive behavior through electronic media that has a serious psychological impact on victims, especially artists who are often the target of negative comments that can influence the behavior of other users on social media. This action is not only psychologically and mentally damaging, but is also a cyber crime that needs to be followed up. This research aims to identify and predict negative comments that lead to cyberbullying through text mining with classification and sentiment analysis methods. This study compares two classification methods: Naive Bayes and Decision Tree, to determine which method is more accurate. Data was taken from 1680 comments on Indonesian artists' Instagram accounts, from September 2023 to May 2024, and divided into 80% for training and 20% for testing, so that the results obtained were Naive Bayes showing 80.95% accuracy, 80.95% precision, recall 87.46%, and F1 score 84.02%, while Decision Tree shows accuracy 82.44%, precision 81.68%, recall 82.44%, and F1 score 81.86%. The findings show that Decision Tree has higher accuracy in classifying cyberbullying comments than Naive Bayes.
PERANCANGAN GAME PARKOUR 3D BESERTA DAMPAK POSITIFNYA PADA KETERAMPILAN KOGNITIF PEMAIN Hafizh As Shoqri; Cindy Taurusta; Sumarno Sumarno
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.v7i1.1208

Abstract

Parkour 3D games have gained popularity and attracted the interest of players and game developers. These games not only serve as entertainment but also have the potential to enhance cognitive skills such as speed, agility in thinking, and decision-making. However, there is a lack of focus on the relationship between 3D parkour games and the enhancement of speed, agility in thinking, and decision-making. This study aims to explore the impact of playing parkour 3D games on speed, agility in thinking, and decision-making, providing insights into the role of games in developing cognitive and motor skills and the contribution of technology in improving quality of life. The research findings from questionnaires and game analysis indicate that playing parkour 3D games has significantly improved players' speed of thinking, agility, decision-making skills, focus, and concentration, leading to the conclusion that the design of 3D parkour games has been successful in enhancing cognitive skills.
ANALISIS DAN PERANCANGAN SISTEM LAYANAN DAN RESERVASI TIKET BUS ONLINE MELALUI PENDEKATAN BERBASIS WEBSITE Palma Juanta; Windania Purba; Evta Indra; Mario Gota Manalu; Aguan Aritonang
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.v6i2.944

Abstract

In this day and age the bus is the most common means of transportation used by the community because of the low price and easy way of ordering simple and accurate and still affordable for the economic community middle down. Generaly bus ticket bookings are made with go directly to the point of sale of bus tickets or by calling to the counter office. This ordering process has a weakness, namely the clerk or managers have difficulty recording, and errors often occur when recording ticket reservations. Regarding the time of ordering, usually prospective travelers book tickets a day or two before departure, and some are don't book tickets a few days in advance and buy tickets on the day departures, which often results in them not getting tickets that are society wants. The aim of this work is to design the system online bus ticket reservation developed using an application. Program it is built using Python programming and machine learning to make it easier to generate data automatically and make predictions Accurate. The result of this research is a bus ticket reservation system which offers a new alternative to the bus ticket booking process without distance and time constraints. In addition, the public will also receive information regarding bus schedules, ticket prices, and possible changes to departures bus.
PENERAPAN METODE TREND MOMENT UNTUK MEMPREDIKSI JUMLAH PENJUALAN DAN STOK KOPI PADA OMILEN COFFEE Oktafiani Br Ginting; Anita Anita; Elvi Yolanda Tumanggor
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.v7i1.1332

Abstract

This research aims to enhance the efficiency of stock and sales management at Omilen Coffee by applying the Trend Moment Method. Omilen Coffee frequently faces issues with mismatches between coffee stock and customer demand, leading to customer dissatisfaction and increased storage costs. The Trend Moment Method is used to analyze historical sales data and identify trends and seasonal patterns, resulting in more accurate predictions of future stock needs. The research involves the collection of primary and secondary data, data analysis using the Trend Moment Method, prediction validation, and the development of a web-based system to facilitate the prediction and stock management process. The results show that this method is effective in predicting coffee sales and stock, with high prediction accuracy and a MAPE value of 6.28%. The implementation of the web-based system simplifies real-time stock management, enabling Omilen Coffee to plan stock more efficiently, reduce the risk of stock shortages or surpluses, and improve customer satisfaction.
AUDIT DAN TATA KELOLA SISTEM INFORMASI MENGGUNAKAN FRAMEWORK COBIT 2019 PADA KSP SRI SATYAM SEDANA Sang Putu Bayu Krisnanda Wiguna; I Gusti Agung Pramesti Dwi Putri; Ni Made Estiyanti
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.v7i1.1190

Abstract

In this study, the author aims to assess the accounting information system that has been used by the Sri Satyam Sedana cooperative and to make an assessment of the company‘s performance during the period of using the system. The research method used is the experiment/ method, which is to test the hypothesis about the cause and effect of a thing. This type of research method requires a comparison or comparison between before and after experimental research. COBIT is a complete and comprehensive standard as an IT audit framework because it is continuous/y developed by ISACA, a professional auditor institution spread across almost all countries. IT governance is something that every company needs to pay attention to. This is because IT Governance can be used by organizations at the executive level where it is to control risks that can occur and ensure that all forms of company resources can be used appropriately. With good corporate governance, it can affect the level of trust and investment protection in the future that is more secure.
SISTEM INOVATIF PENCARIAN WISATA YOGYAKARTA DENGAN PELAYANAN LOKASI BERBASIS MOBILE Risna tri prasetiyo; Anna Dina Khalifia
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.v6i2.1033

Abstract

This research introduces an innovative Android-based tourism search application that utilizes location-based services (LBS) through the Google Maps API. Yogyakarta, as a popular tourist destination, often faces challenges in accessing attractions outside the city center. The primary objective of this application is to provide comprehensive information about tourist attractions, assisting travelers in discovering attractions based on their preferences and categorizing them by type and the number of visitors. The research adopts a structured development approach using the Waterfall model and various Android-based programming algorithms. Despite a significant increase in the number of foreign tourists visiting Indonesia, there has been a decline in the number of domestic tourists exploring Yogyakarta, primarily due to difficulties in accessing information scattered across various platforms. The main goal of this research is to develop a mobile application that helps tourists find tourist attractions in Yogyakarta, especially those located outside the city center. The application offers a user-friendly interface, enabling users to access in-depth information about tourism categories, directions, and other essential details. Although some issues need to be addressed after the trials, this mobile tourism search application has substantial potential to support the tourism industry by providing comprehensive information to users, simplifying travel planning, and promoting lesser-known attractions.
ANALISIS PEMBERIAN NUTRISI MENGGUNAKAN METODE FUZZY LOGIC STUDI KASUS TANAMAN CABAI Devin Viondra Sihar Matondang; Delmanto Saogo; Rizki Samuel Putra F. Sianturi; Sopian Dapit; Ertina Sabarita Barus
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.v6i2.929

Abstract

This research addresses the challenges faced by chili farmers in predicting harvest outcomes and providing nutrition according to plant needs. The Fuzzy Logic Mamdani method is proposed as a decision support system to determine the optimal nutrient application volume based on soil conditions, temperature, and acidity level (pH). By synthesizing fuzzy logic, this study aims to assist chili farmers in optimizing harvest results through appropriate nutrient application. The research methodology involves literature review, observation, and data collection to form a dataset with variables such as irrigation volume, soil moisture, temperature, and soil pH. The research results include the formation of fuzzy sets, application of implication functions, rule composition, defuzzification, and irrigation volume calculations. Simulations using the Fuzzy Logic Toolbox show that the Fuzzy Logic Mamdani method can provide predictions of nutrient application volumes that align with chili plant conditions. In testing, when the input variable of water content is 35.6 at a temperature of 30.8 with a soil pH of 3.7, the system recommends an irrigation volume of 204, categorized as high. The findings of this research can serve as a predictive tool to help chili farmers determine the optimal nutrient application volume based on environmental conditions.
SISTEM PENDUKUKUNG KEPUTUSAN PEMILIHAN BARBERSHOP TERBAIK DENGAN MENGGUNAKAN METODE MOORA Yarma Agustya Dewi Utami; Deci Irmayani; Volvo 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.v6i2.696

Abstract

Barbershops play a crucial role in maintaining appearance and hairstyles in this modern era. With the continued growth of barbershop businesses in the Bagan Batu area, prospective customers often face challenges in selecting the best barbershop that suits their needs. Therefore, a study was conducted to address the issues faced by potential customers in choosing the best barbershop in the Bagan Batu area. This research involved the development of a Decision Support System (DSS) using the Multi-Objective Optimization by Ratio Analysis (MOORA) method. The criteria considered in this research include location, price, quality, cleanliness, and reputation, each assigned a weight of 0.1; 0.25; 0.25; 0.2; and 0.2, respectively. The data processing results using the MOORA method in this study identified the top 3 barbershop alternatives, namely A6, A8, and A5, with preference values of 0.28945, 0.28135, and 0.28130, respectively. Based on this research, it can be concluded that the Decision Support System using the MOORA method can efficiently assist potential consumers in choosing a barbershop and facilitate the decision-making process in selecting the best barbershop for the Bagan Batu community.
PENGGUNAAN TEKNOLOGI AUGMENTED REALITY SEBAGAI MEDIA PENGENALAN JENIS MOBIL PADA SHOWROOM Danida Abas Romadlon; 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.v6i2.1029

Abstract

The number of complaints about the efficiency of time and distance to see and get information related to the goods you want to buy is a common problem among consumers. Especially when consumers want to buy a car where consumers have to take the time to go to the showroom before making sure to buy the desired product. To overcome the problems that often occur, an Augmented reality (AR) based application was created that serves to promote and introduce various types of cars. Augmented reality (AR) is a 3D-based technology that will create space for consumers to see various types of cars. The method used in this research is Marker Based. The design of this application begins with collecting car model data in the form of 3D assets that will be developed using Unity software. This application is expected to help consumers to reach various car models in detail without having to take the time to visit the showroom. This application has been proven successful in displaying 3D car objects graphically and equipped with voice explanations. Based on mobile device testing, 95% results were obtained for the success of application functionality. This application has been successfully run and functions Augmented reality (AR) technology well.
PENERAPAN INTERNET OF THINGS PADA PEMANTAUAN OTOMATIS SUHU DAN KELEMBABAN TANAMAN HIDROPONIK MENGGUNAKAN RASPBERRY PI Ery Murniyasih; Luluk Suryani; Hieronimus Fidel Maria Rahawarin
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.v6i2.1024

Abstract

The implementation of Internet of Things technology is still being developed, for example in the agricultural sector, namely hydroponics. Hydroponics is a planting technique without soil, this technique provides opportunities for farmers who have limited land but still produce quality plants. This research aims to apply the Internet of Things to automatically monitor the temperature and humidity in a Raspberry pi 3-based hydroponic room. It is hoped that this will increase farmers' knowledge in maintaining the temperature and humidity conditions in the planting room. The method used in the process of detecting the temperature and humidity conditions of the hydroponic room is using a DHT22 sensor, then using a water spray base mist sprayer and an automatic fan to maintain the temperature and humidity of the room which is controlled using an Arduino Mega 2560 with a Raspberry pi as a server device, to run the website as an independent platform that monitors and controls online temperature and humidity based on IoT. The result of this research is a control device that can be used to monitor and maintain the temperature of the hydroponic room ≤ 270C up to and maintain air humidity with a minimum limit of up to 65%.

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