Jurnal Galaksi

Sentiment Analysis of YouTube Comments on the Closure of TikTok Shop Using Naïve Bayes and Decision Tree Method Comparison

Putu Pebri Armaeni, I Komang Arya Ganda Wiguna, Wayan Gede Suka Parwita — Sat, 31 Aug 2024 00:00:00 +0000

As technology advances, YouTube has become a social media platform that allows users to watch, broadcast, and share videos. One of the videos that has garnered a lot of comments from the public is about the closure of TikTok Shop. This research uses two methods: Decision Tree and Naïve Bayes. The aim of this study is to compare the Naïve Bayes and Decision Tree methods in analyzing public sentiment regarding the closure of TikTok Shop. The test results for both methods are not significantly different. Each method is divided into three research scenarios. In Scenario 1, with an 80:20 data split, the Decision Tree method achieved an accuracy of 74.71%, a precision of 57%, a recall of 57%, and an F1-score of 57%, while Naïve Bayes had an accuracy of 73.96%, a precision of 58%, a recall of 34%, and an F1-score of 29%. In Scenario 2, with a 70:30 data split, the Decision Tree method achieved an accuracy of 73.27%, while Naïve Bayes achieved an accuracy of 73.99%. In Scenario 3, with a 60:40 data split, the Decision Tree method achieved an accuracy of 71.78%, while Naïve Bayes achieved an accuracy of 74.02%. The evaluation results indicate that the Decision Tree method using an 80:20 data split has superior accuracy compared to the Naïve Bayes method.

Temperature Humidity Control System and Fire Detection for Room Server Based Internet Of Things

I Gede Yudiana Putra, I Gusti Made Ngurah Desnanjaya, I Gede Adnyana — Sat, 31 Aug 2024 00:00:00 +0000

The objective of this research is to develop an Internet of Things (IoT)-based temperature, humidity, and fire detection control system to monitor server rooms at INSTIKI. The research methodology employed involved the collection of primary data through interviews and observations, as well as secondary data through a comprehensive literature review. The system is implemented using a variety of electronic components, including the NodeMCU ESP32, the DHT22 sensor, the MQ2 gas sensor, the KY-026 flame sensor, the PZEM-004t sensor, the infrared emitter LED, the 20x4 I2C LCD, the buzzer, the 5V modules adapters, the step-down modules, and the SIM800l modules. The findings of this study illustrate that the devised system is effective in monitoring temperature, humidity, smoke, fire, and electricity in the INSTIKI server room. The monitoring data is displayed via a web platform, while warning notifications are sent via SMS and Telegram in the event of dangerous situations, resulting in a 100% success rate for notification delivery. The testing of the air conditioning temperature controls using SMS also achieved a 100% success rate. However, the efficacy of the IR Remote is contingent upon the distance and position of the Infrared Emitter LED in relation to the AC's receiver sensors, as well as the quality of the signal received by the GSM800l module.

Analysis and Comparison of Micro Frontend and Monolithic Architecture for Web Applications

Dwiky Chandra Hidayat, I Ketut Jaya Atmaja, Ida Bagus Gde Sarasvananda — Sat, 31 Aug 2024 00:00:00 +0000

A robust system to support the learning aspect is a major concern at PT Bina Taruna Wiratama, a technology-based education company. To achieve this goal, the technology team is required to be able to develop the system quickly and with minimal bugs. Various aspects affect the programmer's ability to produce a high-quality system that is easy to develop further. One of the key aspects is system architecture, which serves as the initial foundation of a system. Currently, the frontend application is still developed as one large application, which causes the build time to be quite long, which is around 30-50 minutes. To overcome this problem, the author explores techniques that can be applied in frontend application development, one of which is the use of micro frontend architecture with run-time integration techniques. This study aims to evaluate how the implementation of micro frontend architecture can be applied to the Smart BTW application and to understand the advantages and disadvantages of the architecture. The implementation results show that the sub-project application can use different JavaScript framework versions, with a faster build time, on average 1-2 minutes, although the initial load is slightly longer, which is 2-3 seconds compared to the monolithic architecture.

Data Visualization of Higher Education Participation Rates in Indonesia Provinces

Joko Saputro, Kanika Saini, Hany Maria Valentine — Sat, 31 Aug 2024 00:00:00 +0000

The objective of this study is to analyze the disparity in higher education enrollment in Indonesia using data visualization produced by the Exploratory Data Analysis (EDA) technique. This graphic specifically examines the Gross Participation Rate of higher education among provinces, expenditure quintiles, and genders for the period of 2019 to 2023. The data was gathered from Statistics Indonesia and presented using Google Data Studio to offer a clearer and more comprehensible representation of the disparity. The findings indicate notable variations in Gross Participation Rate across provinces, with DI Yogyakarta continuously exhibiting the highest Gross Participation Rate and Bangka Belitung Islands displaying the lowest Gross Participation Rate over the duration of the study. Furthermore, Gross Participation Rate exhibits greater values within the quintile 5, which represents the group with the highest expenditure. Additionally, Gross Enrollment Rate is also higher in females when compared to males. The resulting visualization can serve as a potent instrument for policy makers to comprehend and tackle disparities in access to higher education in Indonesia.

Optimising Double Exponential Smoothing for Sales Forecasting Using The Golden Section Method

Kadek Dian Pradnyani, I Made Subrata Sandhiyasa, I Made Agus Oka Gunawan — Sat, 31 Aug 2024 00:00:00 +0000

To achieve maximum profits and a satisfying impression on consumers, companies are required to have the right strategy in selling their products. In determining the right strategy, it requires the availability of accurate information that can be analyzed to determine a sales strategy so that it can increase the number of sales and generate large profits, namely by forecasting. In the Double Exponential Smoothing method, the problem that arises is determining the optimum α parameter value to provide the smallest size of forecasting error, which is sought using the trial and error method, so it requires quite a lot of time. To overcome this problem, a non-linear optimization algorithm using the Golden Section algorithm is used. The Golden Section algorithm is an algorithm that uses the principle of reducing the boundary area α which might produce a minimum objective function value. It is hoped that this forecasting design will be able to provide information that will help the company take decisions or steps in providing stock of goods for sale so that there will be no overstock in the warehouse and can increase Dewaayu Shop's profits. based on the test results, the value of MAPE value is obtained of 21.59579369% and RMSE value of 2.42465034.

Multi Criteria Decision Making Approach in Determining the Best Online Streaming Platform for Alpha Generation

Ahmad Jurnaidi Wahidin , Yoga Listi Prambodo, Asruddin Asruddin — Sat, 31 Aug 2024 00:00:00 +0000

This research aims to determine the best online streaming platform for Generation Alpha using a Multi-Criteria Decision Making (MCDM) approach that combines the Analytical Hierarchy Process (AHP) and Weighted Product (WP) methods. The criteria evaluated include free nature, flexibility, ease of use, content diversity, and privacy security. Through the AHP model, the weights of the criteria were determined and used in the WP method to rank the alternatives. The results show that YouTube is the best platform with the highest preference value, followed by Netflix and Disney+ Hotstar. The combination of AHP and WP methods allows for more objective and scalable decision-making, providing relevant recommendations for users and developers of streaming platforms. The model also has the potential to be applied in other multi-criteria evaluation contexts.

Augmented Reality Portal Using Markerless Method at the Ergendang Cave Tourist Attraction

T Ahyuza Rahmadina, Tantri Hidayati Sinaga, Nurjamiyah Nurjamiyah — Sat, 31 Aug 2024 00:00:00 +0000

For some visitors, natural tourism represents an attractive form of tourism in itself. One of the most notable natural attractions in North Sumatra is Ergendang Cave, situated in Penungkiren, Sinembah Tanjung Muda (STM) Hilir, Deli Serdang Regency. The promotional media for Ergendang Cave still exhibits deficiencies that impede its ability to attract local tourists. The utilisation of augmented reality (AR) technology has the potential to enhance the efficacy of promotional media by facilitating the creation of portal applications that integrate the virtual and tangible realms through markerless methodologies. This Android-based application has been constructed using the Unity 3D platform and the C# (sharp) programming language, in accordance with the prototype model SDLC system development method. This study presents information on the surrounding situation of Ergendang Cave tourism with 360° panoramic photos through a portal that aims to help attract tourists. The portal provides users with the ability to virtually visit the location in real time, effectively bridging the gap between the user's physical location and the virtual representation of Goa Ergendang Tourist Attractions. This could be particularly beneficial during the ongoing pandemic, as it offers a unique opportunity for tourists to virtually experience the attractions without the need for physical travel.