INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
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Sentiment Analysis of Sirekap Tweets Using CNN Algorithm
Full text linkBackground: The research investigates the application of deep learning models for sentiment analysis on Twitter data related to Indonesia\u27s Sirekap system. Sentiment analysis is crucial for understanding public opinion and enhancing the transparency and reliability of election result recapitulation processes. Objective: The objective of this study is to compare the performance of Convolutional Neural Networks (CNN) and CNN-LSTM models in analyzing sentiments from tweets about the Sirekap system. The study aims to identify the most effective model and preprocessing techniques to improve sentiment classification accuracy. Methods: A comprehensive data preprocessing pipeline was implemented, including cleansing, case folding, tokenizing, normalization, stopword removal, and stemming. To address class imbalance, the SMOTE technique was applied. The models were trained and evaluated using accuracy, precision, recall, and F1-score metrics. Pre-trained word embeddings were used to enhance model performance. Results: The CNN model achieved an accuracy of 85.90%, outperforming the CNN-LSTM model, which achieved 79.91% accuracy. Additionally, the CNN model demonstrated superior precision, recall, and F1-score metrics compared to the CNN-LSTM model. The thorough preprocessing and handling of class imbalance significantly contributed to the enhanced performance of the CNN model. Conclusion: The research emphasizes the effectiveness of deep learning approaches, particularly CNNs, in sentiment analysis tasks. The findings highlight the importance of comprehensive preprocessing and class imbalance handling. The use of pre-trained word embeddings and various evaluation metrics ensures robust model performance. These insights contribute to improving the accuracy and efficiency of sentiment classification, thereby enhancing the reliability and transparency of election result recapitulation processes
Utilizing Apache Jena Fuseki for Ontology-Based Smartphone Knowledge Representation
Full text linkBackground: Smartphones are a fundamental require for everybody since smartphones can offer assistance someone\u27s work through different highlights and certain innovation contained within the smartphone. Some people\u27s need for information about smartphones makes people confused in choosing smartphone products because there are many smartphone brands available on the market, as a result, many people still buy smartphones that do not suit their needs and preferences. That is why ontology-based knowledge representation is becoming increasingly important in the field of smartphone technology to improve data organization, data retrieval, and interoperability. Objective: This research aims to develop a smartphone ontology using the Apache Jena Fuseki server which functions as a data collection tool and facilitates knowledge management about smartphones. Methods: This ontology was built using the methontology method, namely an ontology development method that is superior in providing a detailed description of each required activity. This smartphone ontology was developed using the Protégé 5.5.0 application which consists of 4 classes, 9 object properties, 15 data properties, and 92 individuals. Results: The research results show that the ontology built can help users search for smartphones that suit their criteria and needs. This research also succeeded in developing an android and semantic web-based application that allows users to search for smartphones more easily and efficiently, strengthening the benefits of the developed ontology in supporting smartphone purchasing decisions. Conclusion: The contribution of this research is to help customers, by providing recommendation the smartphone that best meets the requirements or best fits the given knowledge representation
Mengungkap Wawasan: Pendekatan Penemuan Pengetahuan untuk Membandingkan Teknik Pemodelan dalam Topik Riset Kesehatan Digital
No full textThis paper introduces a knowledge discovery approach focused on comparing topic modeling techniques within the realm of digital health research. Knowledge discovery has been applied in massive data repositories (databases) and also in various field studies, which use these techniques for finding patterns in the data, determining which models and parameters might be suitable, and looking for patterns of interest in a specific representational. Unfortunately, the investigation delves into the utilization of Latent Dirichlet Allocation (LDA) and Pachinko Allocation Models (PAM) as generative probabilistic models in knowledge discovery, which is still limited. The study\u27s findings position PAM as the superior technique, showcasing the greatest number of distinctive tokens per topic and the fastest processing time. Notably, PAM identifies 87 unique tokens across 10 topics, surpassing LDA Gensim\u27s identification of only 27 unique tokens. Furthermore, PAM demonstrates remarkable efficiency by swiftly processing 404 documents within an incredibly short span of 0.000118970870 seconds, in contrast to LDA Gensim\u27s considerably longer processing time of 0.368770837783 seconds. Ultimately, PAM emerges as the optimum method for digital health research\u27s topic modeling, boasting unmatched efficiency in analyzing extensive digital health text data.This paper introduces a knowledge discovery approach focused on comparing topic modeling techniques within the realm of digital health research. Knowledge discovery has been applied in massive data repositories (databases) and also in various field studies, which use these techniques for finding patterns in the data, determining which models and parameters might be suitable, and looking for patterns of interest in a specific representational. Unfortunately, the investigation delves into the utilization of Latent Dirichlet Allocation (LDA) and Pachinko Allocation Models (PAM) as generative probabilistic models in knowledge discovery, which is still limited. The study\u27s findings position PAM as the superior technique, showcasing the greatest number of distinctive tokens per topic and the fastest processing time. Notably, PAM identifies 87 unique tokens across 10 topics, surpassing LDA Gensim\u27s identification of only 27 unique tokens. Furthermore, PAM demonstrates remarkable efficiency by swiftly processing 404 documents within an incredibly short span of 0.000118970870 seconds, in contrast to LDA Gensim\u27s considerably longer processing time of 0.368770837783 seconds. Ultimately, PAM emerges as the optimum method for digital health research\u27s topic modeling, boasting unmatched efficiency in analyzing extensive digital health text data
Smart Drip Irrigation System Based on IoT Using Fuzzy Logic
Full text linkThe absence of a water drip rate control system in drip irrigation systems has impacted water use efficiency and normalization of soil moisture. Therefore, this research aims to develop an intelligent system using the fuzzy logic method to control the rate of water droplets in a drip irrigation system and maintain soil moisture in normal conditions. The DHT22 sensor is used to obtain temperature and humidity values, which are then used as input data and processed by the ESP32 microcontroller, which includes a fuzzy system. The Internet of Things (IoT) is also used to send data from the microcontroller to the Thingspek web server. The Blynk application is used to make it easier to monitor temperature, humidity, and water droplet rate values. The results of this research show that the temperature accuracy values produced using the MSE evaluation were 6.66667 and RMSE were 2.58199, while for temperature, the values for MSE were 0.128333 and RMSE were 0.358236. The average value of soil moisture produced in the planting medium is 44.46%; this value is within normal conditions for chili plants, where normal soil moisture conditions range between 40% - 60%The absence of a water drip rate control system in drip irrigation systems has impacted water use efficiency and normalization of soil moisture. Therefore, this research aims to develop an intelligent system using the fuzzy logic method to control the rate of water droplets in a drip irrigation system and maintain soil moisture in normal conditions. The DHT22 sensor is used to obtain temperature and humidity values, which are then used as input data and processed by the ESP32 microcontroller, which includes a fuzzy system. The Internet of Things (IoT) is also used to send data from the microcontroller to the Thingspek web server. The Blynk application is used to make it easier to monitor temperature, humidity, and water droplet rate values. The results of this research show that the temperature accuracy values produced using the MSE evaluation were 6.66667 and RMSE were 2.58199, while for temperature, the values for MSE were 0.128333 and RMSE were 0.358236. The average value of soil moisture produced in the planting medium is 44.46%; this value is within normal conditions for chili plants, where normal soil moisture conditions range between 40% - 60
Evaluation of Governance in Information Systems Security to Minimize Information Technology Risks
Full text linkInformation system security within XYZ University constitutes a vital component of its IT framework, exerting significant influence over security levels across all facets of the information systems. Among the numerous implemented information system services at the university, a considerable portion lacks active security measures within operational systems. In pursuit of achieving uniform governance, this study adopts the most recent COBIT 2019 framework. The primary objective of this research is to evaluate the degree to which current information system security management aligns with the process achievement values stipulated in the COBIT 2019 standard. This evaluation entails the calculation of maturity level values that gauge performance levels in managing information system security. Findings from the COBIT 2019 Design assessment conducted at XYZ University\u27s LTIK reveal that individuals scoring above 80 or those requiring Capability Level 4 include APO12 and BAI10. Moreover, the calculation outcomes for each subdomain reveal the presence of 2 subdomains at Level 4, 4 subdomains at Level 3, 15 subdomains at Level 2, and 19 subdomains at Level 1. The identification outcomes underscore the existence of gaps within each domain. Particularly, the APO12 and BAI10 domains exhibit a gap spanning 2 levels.Information system security within XYZ University constitutes a vital component of its IT framework, exerting significant influence over security levels across all facets of the information systems. Among the numerous implemented information system services at the university, a considerable portion lacks active security measures within operational systems. In pursuit of achieving uniform governance, this study adopts the most recent COBIT 2019 framework. The primary objective of this research is to evaluate the degree to which current information system security management aligns with the process achievement values stipulated in the COBIT 2019 standard. This evaluation entails the calculation of maturity level values that gauge performance levels in managing information system security. Findings from the COBIT 2019 Design assessment conducted at XYZ University\u27s LTIK reveal that individuals scoring above 80 or those requiring Capability Level 4 include APO12 and BAI10. Moreover, the calculation outcomes for each subdomain reveal the presence of 2 subdomains at Level 4, 4 subdomains at Level 3, 15 subdomains at Level 2, and 19 subdomains at Level 1. The identification outcomes underscore the existence of gaps within each domain. Particularly, the APO12 and BAI10 domains exhibit a gap spanning 2 levels
Recommendation System for Determining the Best Banner Supplier Using Profile Matching and TOPSIS Methods
Full text linkBackground: Choosing a banner supplier is a significant challenge for digital printing companies due to the various advantages offered by each supplier, often leading to selections based on subjective aspects such as price and quality. Objective: This research aims to develop a system that determines the best banner supplier to minimize production inefficiencies and maximize profits by comparing two calculation methods, Profile Matching and TOPSIS. Methods: A quantitative study was conducted using transaction data from the last six months. The parameter criteria used in this system include price, quality, delivery, availability, and payment terms. The study compares the effectiveness of Profile Matching and TOPSIS methods in identifying the best supplier. Results: The study results show that the TOPSIS method is superior, yielding 100% accuracy, 84% recall, and a 92% F1-score, outperforming the Profile Matching method. This demonstrates that the correct method and algorithm effectively provide the best alternative recommendations. Conclusion: The results indicate that using the TOPSIS method leads to more accurate and objective decisions based on predetermined criteria. The findings suggest that further research should focus on refining these methods to enhance decision-making in supplier selection
Security Analysis of Simpel Desa using Mobile Security Framework and ISO 27002:2013
Full text linkThe Personal Identification Number or KTP is prone to be stolen and used by unwanted parties, this is also a possibility for the Simpel Desa, a village administration application that also contain and use the Personal Identification Number. This study aims to detect information security vulnerabilities. This study aims to analyze security vulnerabilities in applications using MobSF and ISO 27002:2013. MobSF is used for penetration testing for malware in applications. In MobSF the Simpel Desa application is analyzed in two ways, namely static and dynamic. ISO 27002:2013 is used to map the findings of vulnerabilities and potential misuse of information so that they get accurate analysis results. The control used is domain 9 (access control) and 10 (cryptography). The results obtained in the static analysis found the existence of vulnerabilities in aspects of cryptography and permission access. The dynamic analysis found that Root Detection and Debugger Check Bypass had not been implemented. Overall, based on ISO 27002:2013 information security has not been maximally implemented. The recommendations given focus on the aspects of application permissions and access rights, user authentication, and the implementation of information security.The Personal Identification Number or KTP is prone to be stolen and used by unwanted parties, this is also a possibility for the Simpel Desa, a village administration application that also contain and use the Personal Identification Number. This study aims to detect information security vulnerabilities. This study aims to analyze security vulnerabilities in applications using MobSF and ISO 27002:2013. MobSF is used for penetration testing for malware in applications. In MobSF the Simpel Desa application is analyzed in two ways, namely static and dynamic. ISO 27002:2013 is used to map the findings of vulnerabilities and potential misuse of information so that they get accurate analysis results. The control used is domain 9 (access control) and 10 (cryptography). The results obtained in the static analysis found the existence of vulnerabilities in aspects of cryptography and permission access. The dynamic analysis found that Root Detection and Debugger Check Bypass had not been implemented. Overall, based on ISO 27002:2013 information security has not been maximally implemented. The recommendations given focus on the aspects of application permissions and access rights, user authentication, and the implementation of information security
A Systematic Review of Indonesia’s Heritage Tourism in Perspective of Smart Tourism Conceptual Model
Full text linkCurrently, smart tourism has been adopted by cities in many countries. But this concept has various meaning built on different point of view of the smart tourism initiatives. This paper aims to give contribution on conceptual model formulation for smart tourism in process approach, using heritage tourism as case study. A literature review using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) was carried out to achieve an understanding of the term smart tourism itself, with reference to various literature from qualified journals. From the literature review, various terms related to the definition, objectives, characteristics, inputs and outputs of smart tourism will be obtained. A semantic process with content analysis method to help determine the dominant factors/variables as important objects of Smart Tourism. The model to be built describes the components that influence the smart tourism process. This model also considers some local values that are used in general and particular in tourism policies that have been implemented in Indonesia. These values are believed to have an influence and characteristic of the smart tourism model in Indonesia. In the end, the model also describes the expected results of the smart tourism process.Currently, smart tourism has been adopted by cities in many countries. But this concept has various meaning built on different point of view of the smart tourism initiatives. This paper aims to give contribution on conceptual model formulation for smart tourism in process approach, using heritage tourism as case study. A literature review using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) was carried out to achieve an understanding of the term smart tourism itself, with reference to various literature from qualified journals. From the literature review, various terms related to the definition, objectives, characteristics, inputs and outputs of smart tourism will be obtained. A semantic process with content analysis method to help determine the dominant factors/variables as important objects of Smart Tourism. The model to be built describes the components that influence the smart tourism process. This model also considers some local values that are used in general and particular in tourism policies that have been implemented in Indonesia. These values are believed to have an influence and characteristic of the smart tourism model in Indonesia. In the end, the model also describes the expected results of the smart tourism process
Exploring Alternative Approaches for TwitterForensics: Utilizing Social Network Analysis to Identify Key Actors and Potential Suspects
Full text linkSNA (Social Network Analysis) is a modeling method for users which is symbolized by points (nodes) and interactions between users are represented by lines (edges). This method is needed to see patterns of social interaction in the network starting with finding out who the key actors are. The novelty of this study lies in the expansion of the analysis of other suspects, not only key actors identified during this time. This method performs a narrowed network mapping by examining only nodes connected to key actors. Secondary key actors no longer use centrality but use weight indicators at the edges. A case study using the hashtag "Manchester United" on the social media platform Twitter was conducted in the study. The results of the Social Network Analysis (SNA) revealed that @david_ornstein accounts are key actors with centrality of 2298 degrees. Another approach found @hadrien_grenier, @footballforall, @theutdjournal accounts had a particularly high intensity of interaction with key actors. The intensity of communication between secondary actors and key actors is close to or above the weighted value of 50. The results of this analysis can be used to suspect other potential suspects who have strong ties to key actors by looking.SNA (Social Network Analysis) is a modeling method for users which is symbolized by points (nodes) and interactions between users are represented by lines (edges). This method is needed to see patterns of social interaction in the network starting with finding out who the key actors are. The novelty of this study lies in the expansion of the analysis of other suspects, not only key actors identified during this time. This method performs a narrowed network mapping by examining only nodes connected to key actors. Secondary key actors no longer use centrality but use weight indicators at the edges. A case study using the hashtag "Manchester United" on the social media platform Twitter was conducted in the study. The results of the Social Network Analysis (SNA) revealed that @david_ornstein accounts are key actors with centrality of 2298 degrees. Another approach found @hadrien_grenier, @footballforall, @theutdjournal accounts had a particularly high intensity of interaction with key actors. The intensity of communication between secondary actors and key actors is close to or above the weighted value of 50. The results of this analysis can be used to suspect other potential suspects who have strong ties to key actors by looking
Electronic Health Records (EHR) Usability and User Experience Evaluation: A Case Study
Full text linkManual medical record documents have a high risk of leakage and loss. This is because the storage is only in the cupboard. In Indonesia, Electronic Health Records (EHR) have been widely adopted. Clinics, the Rumah Keluarga Sehat Clinic located in Jember Regency. The implemented EHR is a complement to the manual medical record. To obtain a successful EHR implementation, it is necessary to evaluate the usability and user experience. Usability testing is an evaluation method that involves end users in the system development process. This study aims to evaluate the usability and user experience of the EHR developed at the Rumah Keluarga Sehat Clinic. Tests were carried out using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) instruments. Instruments were given to 7 respondents consisting of doctors, medical recorders, admins, and pharmacists at Rumah Keluarga Sehat Clinic, Jember. The results of the usability evaluation with SUS showed a score of 77.14 which indicated the Good category. And the UEQ results show above-average results on a scale (perspicuity and dependability), and excellent on 4 scales (attractiveness, efficiency, stimulation, and novelty). The results of the evaluation with 2 instruments show that the developed EHR has met the user\u27s needs.Manual medical record documents have a high risk of leakage and loss. This is because the storage is only in the cupboard. In Indonesia, Electronic Health Records (EHR) have been widely adopted. Clinics, the Rumah Keluarga Sehat Clinic located in Jember Regency. The implemented EHR is a complement to the manual medical record. To obtain a successful EHR implementation, it is necessary to evaluate the usability and user experience. Usability testing is an evaluation method that involves end users in the system development process. This study aims to evaluate the usability and user experience of the EHR developed at the Rumah Keluarga Sehat Clinic. Tests were carried out using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) instruments. Instruments were given to 7 respondents consisting of doctors, medical recorders, admins, and pharmacists at Rumah Keluarga Sehat Clinic, Jember. The results of the usability evaluation with SUS showed a score of 77.14 which indicated the Good category. And the UEQ results show above-average results on a scale (perspicuity and dependability), and excellent on 4 scales (attractiveness, efficiency, stimulation, and novelty). The results of the evaluation with 2 instruments show that the developed EHR has met the user\u27s needs