Pemerintah melalui dinas Kesehatan memiliki program kerja untuk melakukan sosialisasi informasi kesehatan kepada Masyarakat melalui layanan pada puskesmas yang ada di Indonesia tidak terkecuali pada pr'opinsi DKI Jakarta. Sosialisasi diberikan secara langsung di ruang terbuka atau di ruang serbaguna yang ada di Puskesmas. Namun jadwal sosialisasi yang diberikan terkadang tidak dapat diikuti oleh seluruh masyarakat dengan berbagai kendala seperti kesibukan, sekolah, bekerja dan kendala lainnya. Hal itu menjadi kendala atau kurang maksimalnya sosialisasi dikarenakan keterbatasan waktu dan tempat. Oleh karena itu, untuk mempermudah penyebaran informasi kesehatan perlu adanya media pembelajaran elektronik yang dapat membantu memudahkan masyarakat dalam mendapatkan informasi tentang penyakit gejala dan cara pencegahan atau pertolongan pertama melalui media yang mudah diakses. Media ini akan membantu masyarakat mendapatkan informasi yang dibutuhkan terkait informasi kesehatan khususnya pada Puskesmas DKI Jakarta. Penelitian ini bertujuan untuk membangun sebuah aplikasi LMS berbasis web dengan menggunakan metode Extreme Programming (XP) yang bermanfaat bagi masyarakat juga pihak puskesmas sehingga kualitas hidup pasien dan edukasi terkait kesehatan dapat meningkatkan hidup sehat secara mandiri di masyarakat.
{"title":"Penerapan Learning Management System Kesehatan pada Pusat Kesehatan Masyarakat Puskesmas","authors":"K. Kraugusteeliana, Anita Muliawati, Gelar Asto","doi":"10.60083/jidt.v5i4.498","DOIUrl":"https://doi.org/10.60083/jidt.v5i4.498","url":null,"abstract":"Pemerintah melalui dinas Kesehatan memiliki program kerja untuk melakukan sosialisasi informasi kesehatan kepada Masyarakat melalui layanan pada puskesmas yang ada di Indonesia tidak terkecuali pada pr'opinsi DKI Jakarta. Sosialisasi diberikan secara langsung di ruang terbuka atau di ruang serbaguna yang ada di Puskesmas. Namun jadwal sosialisasi yang diberikan terkadang tidak dapat diikuti oleh seluruh masyarakat dengan berbagai kendala seperti kesibukan, sekolah, bekerja dan kendala lainnya. Hal itu menjadi kendala atau kurang maksimalnya sosialisasi dikarenakan keterbatasan waktu dan tempat. Oleh karena itu, untuk mempermudah penyebaran informasi kesehatan perlu adanya media pembelajaran elektronik yang dapat membantu memudahkan masyarakat dalam mendapatkan informasi tentang penyakit gejala dan cara pencegahan atau pertolongan pertama melalui media yang mudah diakses. Media ini akan membantu masyarakat mendapatkan informasi yang dibutuhkan terkait informasi kesehatan khususnya pada Puskesmas DKI Jakarta. Penelitian ini bertujuan untuk membangun sebuah aplikasi LMS berbasis web dengan menggunakan metode Extreme Programming (XP) yang bermanfaat bagi masyarakat juga pihak puskesmas sehingga kualitas hidup pasien dan edukasi terkait kesehatan dapat meningkatkan hidup sehat secara mandiri di masyarakat.","PeriodicalId":507682,"journal":{"name":"Jurnal Informasi dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139780378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frans Sudirjo, Muhammad Iqbal Fajri, Arifai Ilyas, Tengku Kespandiar, Indra Permadi
The purpose of this research is to demonstrate and examine how perceived advertising budget and pricing deals affect perceived quality and brand image, as well as how brand loyalty, brand awareness, and brand image are affected. Descriptive research is what this study is doing. The research approach employed by the investigators was a cross-sectional design. In this study, a questionnaire is used to collect data. This study's target demographic consists of all individuals who have visited, seen, and bought merchandise. Scientists employed judgmental sampling, a non-probability sampling method. One hundred persons made up the research sample. This study makes use of the confirmatory factor analysis approach in conjunction with the SEM data processing technology. The analysis's findings indicated that perceived advertising spending positively impacted perceived quality. Brand loyalty is positively impacted by perceived ad spend. Brand recognition is positively impacted by perceived ad spending. Brand image benefits from perceived advertising expenditure. Discounts on prices positively impact the perception of quality. Discounts have a detrimental effect on a brand's reputation. Thus, these results provide important insights for companies in designing their marketing strategies. They need to carefully consider the allocation of their promotional funds, ensuring that investment in perceived advertising spending is balanced with the benefits derived while also being mindful of the risks associated with excessive use of price deals. By understanding the relationship between these factors, companies can optimize their marketing efforts to strengthen their brand image and improve their product performance in the marketplace.
本研究的目的是论证和探讨感知广告预算和定价交易如何影响感知质量和品牌形象，以及如何影响品牌忠诚度、品牌知名度和品牌形象。本研究进行的是描述性研究。调查人员采用的研究方法是横截面设计。本研究采用问卷调查的方式收集数据。本研究的目标人群包括所有参观过、看过和购买过商品的人。科学家们采用了判断抽样这种非概率抽样方法。100 人构成了研究样本。本研究结合 SEM 数据处理技术使用了确认性因素分析方法。分析结果表明，感知广告支出对感知质量有积极影响。品牌忠诚度受感知广告支出的积极影响。品牌知名度受感知广告支出的积极影响。品牌形象受益于感知广告支出。价格折扣对质量感知有积极影响。折扣对品牌声誉有不利影响。因此，这些结果为企业设计营销战略提供了重要启示。他们需要仔细考虑促销资金的分配，确保在认知广告支出上的投资与收益相平衡，同时也要注意过度使用价格优惠所带来的风险。通过了解这些因素之间的关系，企业可以优化其营销工作，从而加强品牌形象，提高产品的市场表现。
{"title":"Analysis of the Influence of Product Cost and Perceived Advertising Costs Through Digital Devices on Digital Brand Equity of American Fast-Food Products McDonalds","authors":"Frans Sudirjo, Muhammad Iqbal Fajri, Arifai Ilyas, Tengku Kespandiar, Indra Permadi","doi":"10.60083/jidt.v6i1.497","DOIUrl":"https://doi.org/10.60083/jidt.v6i1.497","url":null,"abstract":"The purpose of this research is to demonstrate and examine how perceived advertising budget and pricing deals affect perceived quality and brand image, as well as how brand loyalty, brand awareness, and brand image are affected. Descriptive research is what this study is doing. The research approach employed by the investigators was a cross-sectional design. In this study, a questionnaire is used to collect data. This study's target demographic consists of all individuals who have visited, seen, and bought merchandise. Scientists employed judgmental sampling, a non-probability sampling method. One hundred persons made up the research sample. This study makes use of the confirmatory factor analysis approach in conjunction with the SEM data processing technology. The analysis's findings indicated that perceived advertising spending positively impacted perceived quality. Brand loyalty is positively impacted by perceived ad spend. Brand recognition is positively impacted by perceived ad spending. Brand image benefits from perceived advertising expenditure. Discounts on prices positively impact the perception of quality. Discounts have a detrimental effect on a brand's reputation. Thus, these results provide important insights for companies in designing their marketing strategies. They need to carefully consider the allocation of their promotional funds, ensuring that investment in perceived advertising spending is balanced with the benefits derived while also being mindful of the risks associated with excessive use of price deals. By understanding the relationship between these factors, companies can optimize their marketing efforts to strengthen their brand image and improve their product performance in the marketplace.","PeriodicalId":507682,"journal":{"name":"Jurnal Informasi dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139853953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frans Sudirjo, Muhammad Iqbal Fajri, Arifai Ilyas, Tengku Kespandiar, Indra Permadi
The purpose of this research is to demonstrate and examine how perceived advertising budget and pricing deals affect perceived quality and brand image, as well as how brand loyalty, brand awareness, and brand image are affected. Descriptive research is what this study is doing. The research approach employed by the investigators was a cross-sectional design. In this study, a questionnaire is used to collect data. This study's target demographic consists of all individuals who have visited, seen, and bought merchandise. Scientists employed judgmental sampling, a non-probability sampling method. One hundred persons made up the research sample. This study makes use of the confirmatory factor analysis approach in conjunction with the SEM data processing technology. The analysis's findings indicated that perceived advertising spending positively impacted perceived quality. Brand loyalty is positively impacted by perceived ad spend. Brand recognition is positively impacted by perceived ad spending. Brand image benefits from perceived advertising expenditure. Discounts on prices positively impact the perception of quality. Discounts have a detrimental effect on a brand's reputation. Thus, these results provide important insights for companies in designing their marketing strategies. They need to carefully consider the allocation of their promotional funds, ensuring that investment in perceived advertising spending is balanced with the benefits derived while also being mindful of the risks associated with excessive use of price deals. By understanding the relationship between these factors, companies can optimize their marketing efforts to strengthen their brand image and improve their product performance in the marketplace.
本研究的目的是论证和探讨感知广告预算和定价交易如何影响感知质量和品牌形象，以及如何影响品牌忠诚度、品牌知名度和品牌形象。本研究进行的是描述性研究。调查人员采用的研究方法是横截面设计。本研究采用问卷调查的方式收集数据。本研究的目标人群包括所有参观过、看过和购买过商品的人。科学家们采用了判断抽样这种非概率抽样方法。100 人构成了研究样本。本研究结合 SEM 数据处理技术使用了确认性因素分析方法。分析结果表明，感知广告支出对感知质量有积极影响。品牌忠诚度受感知广告支出的积极影响。品牌知名度受感知广告支出的积极影响。品牌形象受益于感知广告支出。价格折扣对质量感知有积极影响。折扣对品牌声誉有不利影响。因此，这些结果为企业设计营销战略提供了重要启示。他们需要仔细考虑促销资金的分配，确保在认知广告支出上的投资与收益相平衡，同时也要注意过度使用价格优惠所带来的风险。通过了解这些因素之间的关系，企业可以优化其营销工作，从而加强品牌形象，提高产品的市场表现。
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The Purpose Of This Study Is To Ascertain The Degree Of User Acceptance Of Digital Banks And To Test Theories On The Variables That Affect Users' Approval Of These Financial Institutions. This Research Employs A Quantitative Methodology. Questionnaires, observations, and a literature review are used to gather data for this study. The Jabodetabek Area's digital bank customers make up the research population. Purposive Sampling Was The Method Utilized For This Study, And There Were 100 Respondents In All. Statistical Analysis And Demographic Analysis Make Up Data Analysis. The Researcher Conducted Demographic Analysis Using Microsoft Excel And Performed Statistical Analysis By Analyzing The Outer And Inner Models With The PLS-SEM Approach Using Smartpls. The Research Results Showed That The Behavioral Intention Variable Showed An Influence Of 80%, While The Use Behavior Variable Had An Influence Of 70%. Furthermore, The Factors Or Variables That Influence The Behavioral Intention Of Digital Bank Users Include Social Influence, Price Value, Perceived Credibility, Self-Efficacy, Facilitating Conditions, And Habit. Meanwhile, Factors Or Variables That Influence The Use Behavior Of Digital Bank Users Involve Facilitating Conditions, Habit, And Behavioral Intention. With Most Hypotheses Accepted, This Research Makes A Positive Contribution To Understanding The Factors That Influence User Acceptance Of Digital Banks.
{"title":"Application of the Unified Theory of Acceptance and Use of Technology Approach to Analyze User Acceptance of Digital Banking Services","authors":"Mirza Anindya Pangestika, Soleh, Jamaluddin Majid, Uli Wildan Nuryanto, Syamsul Hadi","doi":"10.60083/jidt.v6i1.495","DOIUrl":"https://doi.org/10.60083/jidt.v6i1.495","url":null,"abstract":"The Purpose Of This Study Is To Ascertain The Degree Of User Acceptance Of Digital Banks And To Test Theories On The Variables That Affect Users' Approval Of These Financial Institutions. This Research Employs A Quantitative Methodology. Questionnaires, observations, and a literature review are used to gather data for this study. The Jabodetabek Area's digital bank customers make up the research population. Purposive Sampling Was The Method Utilized For This Study, And There Were 100 Respondents In All. Statistical Analysis And Demographic Analysis Make Up Data Analysis. The Researcher Conducted Demographic Analysis Using Microsoft Excel And Performed Statistical Analysis By Analyzing The Outer And Inner Models With The PLS-SEM Approach Using Smartpls. The Research Results Showed That The Behavioral Intention Variable Showed An Influence Of 80%, While The Use Behavior Variable Had An Influence Of 70%. Furthermore, The Factors Or Variables That Influence The Behavioral Intention Of Digital Bank Users Include Social Influence, Price Value, Perceived Credibility, Self-Efficacy, Facilitating Conditions, And Habit. Meanwhile, Factors Or Variables That Influence The Use Behavior Of Digital Bank Users Involve Facilitating Conditions, Habit, And Behavioral Intention. With Most Hypotheses Accepted, This Research Makes A Positive Contribution To Understanding The Factors That Influence User Acceptance Of Digital Banks.","PeriodicalId":507682,"journal":{"name":"Jurnal Informasi dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139801808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frans Sudirjo, Grace Martha Geertruida Bororing, Iwan Harsono, Tanti Widia Nurdiani, Ifin Naim
The purpose of this study is to identify and quantify the factors that affect consumers' satisfaction when they use pay later. This study uses a quantitative methodology. Researchers used questionnaires to get information. To pick 100 respondents from the research population, which was made up of pay later users who were actively using the service, the researchers used purposive selection approaches. Partial least squares structural equation modeling is the data analysis technique used in this study (PLS-SEM). The research findings indicated that there was a high degree of goodness and excellence in the data quality and the data outcomes acquired through the outer and inner models. All hypotheses tested in this study were accepted, indicating that the variables measured, such as content, accuracy, format, and ease of use, have a significant effect on the level of end-user satisfaction. Testing of the model structure also confirmed the acceptance of all hypotheses, with accuracy proven to have the greatest influence on ease of use. This research shows that the accuracy aspect of the use of a system or product has the most significant impact on user satisfaction. However, it is important to note that all variables, including content, format, and ease of use, also positively contribute and cannot be ignored. Therefore, even though accuracy has the greatest influence, the presence of all these factors remains an important aspect of analyzing customer satisfaction in this research.
{"title":"Analysis of Customer Satisfaction Using the End User Computing Satisfaction Approach Toward Users of Digital Post-Payment Application Gopay Later","authors":"Frans Sudirjo, Grace Martha Geertruida Bororing, Iwan Harsono, Tanti Widia Nurdiani, Ifin Naim","doi":"10.60083/jidt.v6i1.496","DOIUrl":"https://doi.org/10.60083/jidt.v6i1.496","url":null,"abstract":"The purpose of this study is to identify and quantify the factors that affect consumers' satisfaction when they use pay later. This study uses a quantitative methodology. Researchers used questionnaires to get information. To pick 100 respondents from the research population, which was made up of pay later users who were actively using the service, the researchers used purposive selection approaches. Partial least squares structural equation modeling is the data analysis technique used in this study (PLS-SEM). The research findings indicated that there was a high degree of goodness and excellence in the data quality and the data outcomes acquired through the outer and inner models. All hypotheses tested in this study were accepted, indicating that the variables measured, such as content, accuracy, format, and ease of use, have a significant effect on the level of end-user satisfaction. Testing of the model structure also confirmed the acceptance of all hypotheses, with accuracy proven to have the greatest influence on ease of use. This research shows that the accuracy aspect of the use of a system or product has the most significant impact on user satisfaction. However, it is important to note that all variables, including content, format, and ease of use, also positively contribute and cannot be ignored. Therefore, even though accuracy has the greatest influence, the presence of all these factors remains an important aspect of analyzing customer satisfaction in this research.","PeriodicalId":507682,"journal":{"name":"Jurnal Informasi dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139860280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Purpose Of This Study Is To Ascertain The Degree Of User Acceptance Of Digital Banks And To Test Theories On The Variables That Affect Users' Approval Of These Financial Institutions. This Research Employs A Quantitative Methodology. Questionnaires, observations, and a literature review are used to gather data for this study. The Jabodetabek Area's digital bank customers make up the research population. Purposive Sampling Was The Method Utilized For This Study, And There Were 100 Respondents In All. Statistical Analysis And Demographic Analysis Make Up Data Analysis. The Researcher Conducted Demographic Analysis Using Microsoft Excel And Performed Statistical Analysis By Analyzing The Outer And Inner Models With The PLS-SEM Approach Using Smartpls. The Research Results Showed That The Behavioral Intention Variable Showed An Influence Of 80%, While The Use Behavior Variable Had An Influence Of 70%. Furthermore, The Factors Or Variables That Influence The Behavioral Intention Of Digital Bank Users Include Social Influence, Price Value, Perceived Credibility, Self-Efficacy, Facilitating Conditions, And Habit. Meanwhile, Factors Or Variables That Influence The Use Behavior Of Digital Bank Users Involve Facilitating Conditions, Habit, And Behavioral Intention. With Most Hypotheses Accepted, This Research Makes A Positive Contribution To Understanding The Factors That Influence User Acceptance Of Digital Banks.
{"title":"Application of the Unified Theory of Acceptance and Use of Technology Approach to Analyze User Acceptance of Digital Banking Services","authors":"Mirza Anindya Pangestika, Soleh, Jamaluddin Majid, Uli Wildan Nuryanto, Syamsul Hadi","doi":"10.60083/jidt.v6i1.495","DOIUrl":"https://doi.org/10.60083/jidt.v6i1.495","url":null,"abstract":"The Purpose Of This Study Is To Ascertain The Degree Of User Acceptance Of Digital Banks And To Test Theories On The Variables That Affect Users' Approval Of These Financial Institutions. This Research Employs A Quantitative Methodology. Questionnaires, observations, and a literature review are used to gather data for this study. The Jabodetabek Area's digital bank customers make up the research population. Purposive Sampling Was The Method Utilized For This Study, And There Were 100 Respondents In All. Statistical Analysis And Demographic Analysis Make Up Data Analysis. The Researcher Conducted Demographic Analysis Using Microsoft Excel And Performed Statistical Analysis By Analyzing The Outer And Inner Models With The PLS-SEM Approach Using Smartpls. The Research Results Showed That The Behavioral Intention Variable Showed An Influence Of 80%, While The Use Behavior Variable Had An Influence Of 70%. Furthermore, The Factors Or Variables That Influence The Behavioral Intention Of Digital Bank Users Include Social Influence, Price Value, Perceived Credibility, Self-Efficacy, Facilitating Conditions, And Habit. Meanwhile, Factors Or Variables That Influence The Use Behavior Of Digital Bank Users Involve Facilitating Conditions, Habit, And Behavioral Intention. With Most Hypotheses Accepted, This Research Makes A Positive Contribution To Understanding The Factors That Influence User Acceptance Of Digital Banks.","PeriodicalId":507682,"journal":{"name":"Jurnal Informasi dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139861678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frans Sudirjo, Grace Martha Geertruida Bororing, Iwan Harsono, Tanti Widia Nurdiani, Ifin Naim
The purpose of this study is to identify and quantify the factors that affect consumers' satisfaction when they use pay later. This study uses a quantitative methodology. Researchers used questionnaires to get information. To pick 100 respondents from the research population, which was made up of pay later users who were actively using the service, the researchers used purposive selection approaches. Partial least squares structural equation modeling is the data analysis technique used in this study (PLS-SEM). The research findings indicated that there was a high degree of goodness and excellence in the data quality and the data outcomes acquired through the outer and inner models. All hypotheses tested in this study were accepted, indicating that the variables measured, such as content, accuracy, format, and ease of use, have a significant effect on the level of end-user satisfaction. Testing of the model structure also confirmed the acceptance of all hypotheses, with accuracy proven to have the greatest influence on ease of use. This research shows that the accuracy aspect of the use of a system or product has the most significant impact on user satisfaction. However, it is important to note that all variables, including content, format, and ease of use, also positively contribute and cannot be ignored. Therefore, even though accuracy has the greatest influence, the presence of all these factors remains an important aspect of analyzing customer satisfaction in this research.
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F. Dharta, Ardhana Januar Mahardhani, Sitti Rachmawati Yahya, Andika Dirsa, Elvira M. Usulu
This research aims to analyze the sentiment of social media users towards the election. The author collected data in this research through a literature study and observation. The author uses a classification method with the Naïve Bayes Classifier Algorithm and Support Vector Machine to analyze sentiment results. Next, this research extracts word assessment features using TextBlob, which changes text into positive or negative classes. Based on the research results, after going through the text preprocessing stage of more than 15,000 tweets, 11,000 clean tweets were obtained, which were then labelled using the text blob library in Python. The labelling results show that 4,000 tweets are positive, and the rest are harmful, indicating that most social media users' sentiment towards the election is positive. Words that often appear in the positive class express support and confidence in implementing elections that are considered honest and fair. On the other hand, words in the negative class reflect negative sentiment towards implementing elections, which are considered unsuccessful and time-consuming. The Naïve Bayes method provides accuracy, precision, and recall values of 85%, 80%, and 75%. In the Support Vector Machine method, testing is carried out with three kernels (linear, RBF, and poly), where the poly kernel with the best parameter values C is ten and degree is 1 produces the highest accuracy, precision, and recall of 90%, 90%, and 85%, respectively.
{"title":"Application of Naive Bayes Classifier Method to Analyze Social Media User Sentiment Towards the Presidential Election Phase","authors":"F. Dharta, Ardhana Januar Mahardhani, Sitti Rachmawati Yahya, Andika Dirsa, Elvira M. Usulu","doi":"10.60083/jidt.v6i1.494","DOIUrl":"https://doi.org/10.60083/jidt.v6i1.494","url":null,"abstract":"This research aims to analyze the sentiment of social media users towards the election. The author collected data in this research through a literature study and observation. The author uses a classification method with the Naïve Bayes Classifier Algorithm and Support Vector Machine to analyze sentiment results. Next, this research extracts word assessment features using TextBlob, which changes text into positive or negative classes. Based on the research results, after going through the text preprocessing stage of more than 15,000 tweets, 11,000 clean tweets were obtained, which were then labelled using the text blob library in Python. The labelling results show that 4,000 tweets are positive, and the rest are harmful, indicating that most social media users' sentiment towards the election is positive. Words that often appear in the positive class express support and confidence in implementing elections that are considered honest and fair. On the other hand, words in the negative class reflect negative sentiment towards implementing elections, which are considered unsuccessful and time-consuming. The Naïve Bayes method provides accuracy, precision, and recall values of 85%, 80%, and 75%. In the Support Vector Machine method, testing is carried out with three kernels (linear, RBF, and poly), where the poly kernel with the best parameter values C is ten and degree is 1 produces the highest accuracy, precision, and recall of 90%, 90%, and 85%, respectively.","PeriodicalId":507682,"journal":{"name":"Jurnal Informasi dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139866711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Dharta, Ardhana Januar Mahardhani, Sitti Rachmawati Yahya, Andika Dirsa, Elvira M. Usulu
This research aims to analyze the sentiment of social media users towards the election. The author collected data in this research through a literature study and observation. The author uses a classification method with the Naïve Bayes Classifier Algorithm and Support Vector Machine to analyze sentiment results. Next, this research extracts word assessment features using TextBlob, which changes text into positive or negative classes. Based on the research results, after going through the text preprocessing stage of more than 15,000 tweets, 11,000 clean tweets were obtained, which were then labelled using the text blob library in Python. The labelling results show that 4,000 tweets are positive, and the rest are harmful, indicating that most social media users' sentiment towards the election is positive. Words that often appear in the positive class express support and confidence in implementing elections that are considered honest and fair. On the other hand, words in the negative class reflect negative sentiment towards implementing elections, which are considered unsuccessful and time-consuming. The Naïve Bayes method provides accuracy, precision, and recall values of 85%, 80%, and 75%. In the Support Vector Machine method, testing is carried out with three kernels (linear, RBF, and poly), where the poly kernel with the best parameter values C is ten and degree is 1 produces the highest accuracy, precision, and recall of 90%, 90%, and 85%, respectively.
{"title":"Application of Naive Bayes Classifier Method to Analyze Social Media User Sentiment Towards the Presidential Election Phase","authors":"F. Dharta, Ardhana Januar Mahardhani, Sitti Rachmawati Yahya, Andika Dirsa, Elvira M. Usulu","doi":"10.60083/jidt.v6i1.494","DOIUrl":"https://doi.org/10.60083/jidt.v6i1.494","url":null,"abstract":"This research aims to analyze the sentiment of social media users towards the election. The author collected data in this research through a literature study and observation. The author uses a classification method with the Naïve Bayes Classifier Algorithm and Support Vector Machine to analyze sentiment results. Next, this research extracts word assessment features using TextBlob, which changes text into positive or negative classes. Based on the research results, after going through the text preprocessing stage of more than 15,000 tweets, 11,000 clean tweets were obtained, which were then labelled using the text blob library in Python. The labelling results show that 4,000 tweets are positive, and the rest are harmful, indicating that most social media users' sentiment towards the election is positive. Words that often appear in the positive class express support and confidence in implementing elections that are considered honest and fair. On the other hand, words in the negative class reflect negative sentiment towards implementing elections, which are considered unsuccessful and time-consuming. The Naïve Bayes method provides accuracy, precision, and recall values of 85%, 80%, and 75%. In the Support Vector Machine method, testing is carried out with three kernels (linear, RBF, and poly), where the poly kernel with the best parameter values C is ten and degree is 1 produces the highest accuracy, precision, and recall of 90%, 90%, and 85%, respectively.","PeriodicalId":507682,"journal":{"name":"Jurnal Informasi dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139806833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frans Sudirjo, Dedy Setyo Oetomo, Flora Grace Putrianti, Faisal Abubakar, Victor Lamboy Sinaga
This study aims to assess the effects of price, e-service quality, and advertising on online travel agent users' propensity to repurchase. Convenience sampling was used to select 100 respondents to serve as study participants, giving us the research sample. Through observations, questionnaires, and interviews, we gathered data. The primary technique for data analysis employed by the researchers was multiple linear regression, and they employed a descriptive study design. Important results show that repurchase intention is significantly influenced by advertising. The price variable, which exhibits a strong influence on repurchase intention, experiences the same phenomenon. Repurchase intention is also significantly influenced by the quality of the e-service. These findings corroborate the hypothesis that consumers of online travel agencies have a propensity to repurchase based on factors such as price, advertising, and e-service quality. Additionally, the study's findings show that the combination of these three factors pricing, e-service quality, and advertising significantly affects repurchase intention. This suggests that consumers repurchase intentions on the online travel agent platform can be raised by a clever combination of advertising-based promotion, competitive pricing, and high-quality online services. The development of marketing and customer service initiatives in the online travel agency sector can benefit greatly from these findings.
{"title":"Analysis of The Influence of Price, Digital Advertising and E-Service Quality on Digital Repurchase Intention of Online Travel Platform Users","authors":"Frans Sudirjo, Dedy Setyo Oetomo, Flora Grace Putrianti, Faisal Abubakar, Victor Lamboy Sinaga","doi":"10.60083/jidt.v6i1.493","DOIUrl":"https://doi.org/10.60083/jidt.v6i1.493","url":null,"abstract":"This study aims to assess the effects of price, e-service quality, and advertising on online travel agent users' propensity to repurchase. Convenience sampling was used to select 100 respondents to serve as study participants, giving us the research sample. Through observations, questionnaires, and interviews, we gathered data. The primary technique for data analysis employed by the researchers was multiple linear regression, and they employed a descriptive study design. Important results show that repurchase intention is significantly influenced by advertising. The price variable, which exhibits a strong influence on repurchase intention, experiences the same phenomenon. Repurchase intention is also significantly influenced by the quality of the e-service. These findings corroborate the hypothesis that consumers of online travel agencies have a propensity to repurchase based on factors such as price, advertising, and e-service quality. Additionally, the study's findings show that the combination of these three factors pricing, e-service quality, and advertising significantly affects repurchase intention. This suggests that consumers repurchase intentions on the online travel agent platform can be raised by a clever combination of advertising-based promotion, competitive pricing, and high-quality online services. The development of marketing and customer service initiatives in the online travel agency sector can benefit greatly from these findings. ","PeriodicalId":507682,"journal":{"name":"Jurnal Informasi dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140482278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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