Journal La Multiapp

Sentiment Analysis of Support for the DPR's Right to Inquiry on the Issue of 2024 Election Fraud Using the Support Vector Machine Method

Putri Aisyah Sephia, Ilka Zufria — Wed, 04 Sep 2024 00:00:00 +0700

This research aims to analyze public sentiment towards supporting the DPR's right to inquiry in the 2024 Election fraud issue using the Support Vector Machine (SVM) method. Data was obtained from the social media application X which has a wide user base and is relevant to the issue under study. Comments on the application are classified into positive and negative sentiments after going through the pre-processing stage. The SVM method was chosen because of its high ability in text classification based on appropriate kernels. This research shows how much influence the X application has in identifying public sentiment and the effectiveness of the SVM method in sentiment classification. It is hoped that the research results will provide in-depth insight into public sentiment regarding the issue of fraud in the 2024 elections and support better decision making in the context of politics and democracy in Indonesia.

Impact of Feature Extraction on Multi-Aspect Sentiment Classification for Livin'byMandiri Using BiLSTM

Balqis Sayyidahtul Atikah, Yuliant Sibaroni, Diyas Puspandari — Mon, 02 Sep 2024 16:05:33 +0700

Mobile applications are currently experiencing very rapid development including applications in the financial sector. Livin'byMandiri is one of the mobile applications used to transact online without the need to go to the bank. This makes it very easy for customers to transact anywhere and anytime. Application reviews are user reviews that reflect the reputation of the application among the community, these application reviews can be found anywhere, so many companies use application reviews as a reference in developing their applications in the future. However, people's opinions on apps can vary and are influenced by many aspects. Therefore, aspect-based sentiment analysis can be applied to app reviews to get better results. This research focuses on analyzing the sentiment of Livin'byMandiri app reviews on the Google Play Store. In this research, the Bidirectional LSTM (Bi-LSTM) method is combined with TF-IDF and Word2Vec feature extraction. From the results of the experiments that have been carried out, the best accuracy results for the access aspect are 81.18% and F1-Score of 81.03%, the service aspect produces an accuracy of 82.82% and F1-Score of 82.74%, and for the convenience aspect produces an accuracy of 77.28% and F1-Score of 77.19%. In this experiment, it is also found that feature extraction has an effect on sentiment analysis, this is evidenced by an increase in accuracy of more than 1% for each aspect when TF-IDF feature extraction is added and also the combination of TF-IDF and Word2vec in the initial model built using only the Neural Network embedding layer.

Integrating Social Support into the TAM Framework: Effects on ‎E-Learning Usage and Acceptance

Alifiannisa Alyahasna Wighneswara, Umi Laili Yuhana — Wed, 04 Sep 2024 15:12:40 +0700

This research explores the role of social support in the context of the TAM model in relation to usage and acceptance of e-learning by high school learners as well as a technical usability assessment of e-learning environment. By employing cross sectional survey design and Partial Least Squares Structural Equation Modeling (PLS-SEM analytical technique, we explore the interconnection of social support with perceived usefulness, perceived ease of use, behavioral intention and actual usage. Specifically, the work finds that social support partially mediates students’ reception of e-learning from their perspective of perceived usefulness and its ease of use and that perceived usefulness is deeply seated in behavioral intention on the chosen platform. From the technical analysis, load testing, content delivery and security was examined to determine the effectiveness of the platform. An addition of a content delivery network streamlined page load time and minimized latency issues while on security the implementation of SSL and two factor authentication advanced the security of data. These are tangible technical enhancements accompanied by social support systems which increase the e-learning derived adoption as well as the retention ratios. The implications of the results put emphasis on both social and technical aspects in e-learning system that must be taken into consideration for educators and developers creating efficient and large-scale e-learning system.

Application of a Question Answering System in the Ontology-Based Health Domain and Question Templates to Improve the Quality of Answers

Efwandha Yudhono, Shaufiah Shaufiah, Indra Lukmana Sardi — Tue, 01 Oct 2024 11:09:22 +0700

Developing an effective Question Answering System (QAS) to address a wide range of health-related inquiries presents a significant challenge. This study introduces an innovative approach using an ontology-based QAS within the health domain, leveraging the Resource Description Framework (RDF) and SPARQL query language. By utilizing ontology, the system can more accurately map health concepts, improving the relevance and precision of its responses. Additionally, the incorporation of structured Question Templates enhances the system’s ability to understand and respond to diverse user queries. The system's performance was evaluated using Black Box Testing, which demonstrated that it consistently provides accurate and relevant answers. The system achieved a Mean Average Precision (MAP) of 79.6%, indicating its potential to effectively address a broad spectrum of health issues.

Analysis of User Acceptance of the Mobile Application of National Health Insurance Using the UTAUT Model

Yoga Anunggita, Akmal Suryadi — Tue, 01 Oct 2024 12:58:07 +0700

Development technology in the field health own positive impact. On the field Health services are available developed mobile applications Forgive Health services to public by online. The Mobile JKN Application has objective For give service health to community and make it easier power health For give service optimally. On research This analyze about reception user The Mobile JKN application uses the Unified Theory of Acceptance and Use of Technology (UTAUT). Respondent data obtained during spread questionnaire that is as many as 110 respondents. Respondent data Then analyzed using Structural Equation Model (SEM) research results This show that Performance Expectancy (PE) and Social Influence (SI) have an influence significant to Behavioral Intention (BI). However, for Effort Expectancy (EE) it is not influential significant to Behavioral Intention (BI) with t-test values are 2.224, 2.224, and 1.198 respectively. Third variable the can explain influence to Behavioral Intention (BI) was 34.3%. Whereas for Facilitating Conditions (FC) and Behavioral Intention (BI) influence significant towards Use Behavior (UB) with t-test values are 4.013 and 5.636 respectively. As well as second variable the can explain influence on Use Behavior (UB) of 59.3%. So on research explain reception user to use Mobile JKN application with using UTAUT.

Maintenance Tasks for 20 Kv Medium-Voltage Switchgear Based on Technical Judgment Experience and Manufacturer

Prabowo Soetadji, Tole Sutikno , Abdul Fadlil — Tue, 01 Oct 2024 13:12:31 +0700

A 20 kV medium-voltage switchgear is an important equipment in the electricity system that distributes electricity generated by the 20 kV electric power generator to electricity users. Calor Emag, Merlin Gerin, Alsthom, Fuji, AEG, Schneider, Meidensha, Goldstar, Modalek, Areva, and Siemens are among the companies that make products. This study describes a method for maintaining 20 kV medium-voltage switchgear, an essential equipment in the electricity system. In less technical terms, the failure rate is high at the beginning of an asset's life, which follows the curve of the bathtub. However, the failure rate quickly declines as we identify and discard defective components and eliminate early sources of potential failures, such as installation errors. This study introduces a novel approach by examining the relationship between maintenance tasks, which are based on technical judgment and experiences, and the maintenance tasks provided by the manufacturer for 20 kV medium voltage switchgear. The goal is to develop and deliver the most effective maintenance method for 20 kV medium voltage switchgear, to prevent malfunctions or even catastrophic explosions, while maintaining the lowest possible maintenance costs. Total use of labor over 2 years (24 months) for daily, monthly, 3 monthly, and 2 yearly is 3554-man hours (MH). It provides a comprehensive approach to preventing malfunctions and explosions, resulting in optimal maintenance costs and performance.

Movie Success Prediction Based on Feature and Trailer Comments Using Ensemble+LSTM Model

Nadya Sikana, Ronsen Purba — Tue, 01 Oct 2024 13:24:23 +0700

Predicting the success of a movie is a very important aspect due to the high risks involved in movie production. The challenge lies in the uncertainty within the movie industry and selecting the appropriate machine learning model. We can combine movie features and sentiment analysis from social media using machine learning techniques to achieve movie success prediction. The methods used for predicting based on movie features are Ensemble models (Random Forest + Gradient Boosting). Meanwhile, the methods used for sentiment analysis of trailer comments is LSTM. The evaluation of the models used is based on RMSE and accuracy calculation. The final prediction of success obtains an RMSE of 0,8807 and an accuracy of 91,19%. This represents an improvement from previous research. Further research is recommended to implement the model in the movie industry

Key Factors of Urban Public Transportation Services Implementation in Indonesia: A Knowledge Management Perspectives

Tue, 01 Oct 2024 19:47:11 +0700

It is well-recognized that the availability of public transportation has a significant impact on urban transportation networks. In Indonesia, the government is still having difficulties to establish a reliable public transportation system. One important aspect that can be utilized in establishing a reliable public transportation system is to utilize knowledge management in its services. This study aims to identify key factors from knowledge management perspectives related to the implementation of public transportation services. To achieve this objective, this study conducted qualitative research on 12 users of public transportation services in Indonesia. The results of this study indicate that there are several key factors related to the implementation of public transportation services from knowledge management perspectives, such as Real-Time Information, Digital Accessibility, User Engagement and Trust, Platform Functionality and Quality, Digital Inclusive Strategy, Knowledge Dissemination Method, Help Desk Reliability, and Knowledgeable Officer.

TOGAF's Approach in Developing an Enterprise Architecture for the Information Technology Security Industry

Rachmad Syarul Hidayat, Richardus Eko Indrajit , Erick Dazki — Tue, 01 Oct 2024 00:00:00 +0700

The information technology security industry, encompassing various activities such as risk identification and assessment, policy development, and solution implementation, plays a crucial role in maintaining the integrity and security of information systems. This study aims to develop and implement an efficient and effective enterprise architecture within the information security sector, focusing on three key core processes identified as the major revenue contributors: risk identification and assessment, security policy development, and security solution implementation. Utilizing the TOGAF-based Enterprise Architecture framework, this research identifies and designs architecture that integrates various systems, applications, and business processes, facilitating better alignment within the organization. The architecture design process involves a thorough analysis of operational needs and business strategies, leading to the development of a model that enhances efficiency and reduces the risk of failure in technology implementation. The outcomes of this study are intended to provide practical guidance for information security companies to optimize operations, simplify system complexities, and achieve strategic goals more effectively. It is anticipated that the application of the designed architecture will have a significant positive impact on the company's ability to address challenges and dynamic needs within the information security industry.

Arduino Based Automatic Door Lock Design Using Personal Identification Number Pin

Anton Anton, Sri Mujiyono — Wed, 02 Oct 2024 08:04:07 +0700

Current developments require more innovation in everyday life, one of which is home or office door security. Initially, home or office door security was only with ordinary padlocks or door keys found in most houses in Indonesia which had shortcomings in terms of security and effectiveness. In the current era of digitalization, almost every line of human activity is no exception, technology is currently continuously developing more rapidly. This can be observed through the many sophisticated equipment that utilizes technology so that the work system can run automatically. Of course, this makes it much easier for someone to carry out their activities and the work they do is also more efficient. This research aims to design a door lock system that is able to increase security, effectiveness and comfort in accessing rooms, both home and office. This system utilizes an Arduino microcontroller as the brain of the system, a keypad as input for entering the PIN code. Users are allowed to open the door simply by entering a predetermined PIN code. The main advantage of this system is its ease of use and a better level of security compared to conventional door locks. The results of this research are a pin-based door lock system using Arduino and keypad. This system uses the Arduino IDE development application for writing program code and Proteus for work simulation.

Comparative Analysis of Green Building Hospitals in Karawang and Pemalang

Darmawan Pontan, Angga Ananda Irawan — Wed, 02 Oct 2024 08:15:02 +0700

This study aims to analyze and compare the application of the green building concept in two hospitals in Indonesia, namely Permata Keluarga Karawang Hospital and Dr. M. Ashari Pemalang Regional General Hospital (RSUD). Using descriptive qualitative methods and case study approaches, data were collected through observation, interviews, documentation, and measurements in the field. The results show that both hospitals have applied green building principles in various aspects such as energy efficiency, environmental management, and B3 waste management. Permata Keluarga Karawang Hospital excels in the use of energy-saving technology and waste management, while Dr. M. Ashari Pemalang Hospital stands out in staff involvement and environmental management. However, there are still several aspects that need to be improved by both hospitals, such as bicycle parking facilities and rainwater intake systems, to achieve more optimal green building standards. In conclusion, both hospitals have shown a strong commitment to environmental sustainability through the implementation of the green building concept, but further improvements are still needed to achieve more optimal results.

Analysis of Excavation Methods Against Deformation in Highway Tunnels

Dian Eka Aryanti, Singgih Saptono — Wed, 02 Oct 2024 08:57:35 +0700

Cisumdawu tunnel is a highway tunnelling which composed of very weak rock mass conditions has an average compressive strength less than 1 MPa. It is located below groundwater level. The shape of tunnell is horseshoe, diameter of tunnel section 14,413 m and height 11,083 m. Cisumdawu tunnel is a shallow tunnel which has a maximum overburden of 52,8 m and minimum overburden approximately 14 m. In the case of shallow tunnel which has a large section could be lead an instability during tunnel construction. Tunnel deformation analysis is using an observation and numerical modelling approach with finite element method which is assisted by RS 2019 (Rocscience) software. Based on the research is obtained that excavation method greatly affects the level of deformation that occurs during tunnel construction. As tunnelling advanced, Vertical displacement in the longitudinal direction using three bench seven step excavation method is smaller than full face and bench excavtion method. The maximum displacement using three bench excavation method is -4.23 mm, the full face method is -5.51 mm and the bench method is -4.91 mm. The amount of displacement is affected by the length of excavation and stage in tunnelling. The rate of deformation is increasing as the length of excavation getting deeper, but this is applied in unsupported tunnel.

Identification of Tampering in Arabic Text Documents Using Zero-Watermarking Algorithm

Shahbaa Mohammed Abdulmaged — Tue, 08 Oct 2024 08:10:47 +0700

The internet makes sharing information easy, but protecting copyrights and verifying the authentication of online text remains a challenge. Current methods for securing Arabic text are limited. This research introduces a new tool: a zero watermark algorithm designed specifically for Arabic text. This new algorithm protects Arabic text by analyzing its content. It creates a watermark based on a chosen keyword (at least 6 characters, no duplicates), and how often each character appears in different forms (separate, connected), and positions (beginning, middle, and end) within the text. The proposed method was tested on nine different Arabic text samples of varying size, simulating various tampering attempts like inserting, deleting, and rephrasing text. The results are impressive, showing that the algorithm outperforms existing methods in detecting even minor changes.