{"title":"Text Mining Approach to Emotion Analysis in Translation of Surah Yusuf With NRC Emotion Lexicon","authors":"Annisa Syafiqah, Syahiduz Zaman, Mochamad Imamudin","doi":"10.25299/itjrd.2025.17765","DOIUrl":"https://doi.org/10.25299/itjrd.2025.17765","url":null,"abstract":"In the digital era, the accessibility of vast textual data, including the Quran, has facilitated broader comprehension of its teachings. This study analyzes the emotions in the English translation of Surah Yusuf using the NRC Emotion Lexicon. The findings show that trust is the most dominant emotion (22.89%), followed by joy (15.66%), anticipation (13.25%), sadness (12.05%), fear (10.84%), anger (9.64%), surprise (8.43%), and disgust (7.23%). These results confirm the text's diverse emotional expressions and the effectiveness of the lexicon-based method. The research aligns with the initial goals and highlights the potential of emotion analysis in understanding religious texts. Future research can expand the analysis to more verses and use machine learning for improved accuracy. This study aids scholars and students in exploring the Quran's emotional and spiritual dimensions and can be adapted to other texts for broader applications.","PeriodicalId":484232,"journal":{"name":"IT journal research and development","volume":"9 2","pages":"108-122"},"PeriodicalIF":0.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://journal.uir.ac.id/index.php/ITJRD/article/download/17765/7822","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147889449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arsyad Cahya Subrata, Muhammad Mar’ie Sirajuddin, Sona Regina Salsabila, Irsyadul Ibad, Eko Prasetyo, Ferry Yusmianto, Ahmad Dahlan, Arsyad Cahya
{"title":"Low-Cost Early Detection Device for Breast Cancer based on Skin Surface Temperature","authors":"Arsyad Cahya Subrata, Muhammad Mar’ie Sirajuddin, Sona Regina Salsabila, Irsyadul Ibad, Eko Prasetyo, Ferry Yusmianto, Ahmad Dahlan, Arsyad Cahya","doi":"10.25299/itjrd.2024.16034","DOIUrl":"https://doi.org/10.25299/itjrd.2024.16034","url":null,"abstract":"One of the deadly diseases that attacks many women is breast cancer. It was recorded that breast cancer cases in 2020 were 2.3 million, with deaths accounting for 29% of these cases. The BSE technique is an easy way of early identification of breast cancer that can be done independently. However, this technique often goes wrong when practiced, making it ineffective. An early breast cancer detection system is proposed to make it easier for women to carry out early identification independently. Detection is carried out based on the measured temperature of the breast surface. The temperature difference at each point is a reference for the potential for breast cancer. This system was built in a bra and tested with a mannequin as a simulator subject. The MLX90614 temperature sensor, as the primary sensor, succeeded in measuring the surface temperature of the dummy with 99% accuracy. Final testing of the proposed system can also differentiate the temperature differences in each zone.","PeriodicalId":484232,"journal":{"name":"IT journal research and development","volume":"118 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141811890","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}
{"title":"Automatic Vocal Completion for Indonesian Language Based on Recurrent Neural Network","authors":"Agi Prasetiadi, Asti Dwi Sripamuji, Risa Riski Amalia, Julian Saputra, Imada Ramadhanti","doi":"10.25299/itjrd.2024.14171","DOIUrl":"https://doi.org/10.25299/itjrd.2024.14171","url":null,"abstract":"Most Indonesian social media users under the age of 25 use various words, which are now often referred to as slang, including abbreviations in communicating. Not only causes, but this variation also poses challenges for the natural language processing of Indonesian. The previous researchers tried to improve the Recurrent Neural Network to correct errors at the character level with an accuracy of 83.76%. This study aims to normalize abbreviated words in Indonesian into complete words using a Recurrent Neural Network in the form of Bidirected Long Short-Term Memory and Gated Recurrent Unit. The dataset is built with several weight confgurations from 3-Gram to 6-Gram consisting of words without vowels and complete words with vowels. Our model is the frst model in the world that tries to fnd incomplete Indonesian words, which eventually become fully lettered sentences with an accuracy of 97.44%.","PeriodicalId":484232,"journal":{"name":"IT journal research and development","volume":" 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141826535","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}
{"title":"Identification of Risk Factors in the Software Design Stage Using the C4.5 Algorithm","authors":"M. A. Azkiya, Deva Sindi Maulita, Jumanto","doi":"10.25299/itjrd.2023.13251","DOIUrl":"https://doi.org/10.25299/itjrd.2023.13251","url":null,"abstract":"A strong design phase is necessary for good software. However, design errors in software can cause serious issues with its creation and use. Therefore, the goal of this study is to find risk variables that could have an early impact on software development. In this study, a machine learning technique called technique C4.5 is employed to create decision tree models. 100 respondents with software design experience participated in the online surveys and questionnaires that collected the data for this study in 2022. The C4.5 Algorithm was used in this study to analyze the data and determine the risk variables that affect the success of software design. The study's findings show that the C4.5 Algorithm-based model has a high level of accuracy (93.33%), which means that the data can offer crucial insights into understanding potential risks that may arise during the software design stage, enabling software developers to take the necessary precautions to lessen or eliminate these risks. In order to enhance the caliber and effectiveness of software design, this research is anticipated to provide a significant contribution to practitioners and academics in the field of software development.","PeriodicalId":484232,"journal":{"name":"IT journal research and development","volume":"420 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139835091","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}
{"title":"Identification of Risk Factors in the Software Design Stage Using the C4.5 Algorithm","authors":"M. A. Azkiya, Deva Sindi Maulita, Jumanto","doi":"10.25299/itjrd.2023.13251","DOIUrl":"https://doi.org/10.25299/itjrd.2023.13251","url":null,"abstract":"A strong design phase is necessary for good software. However, design errors in software can cause serious issues with its creation and use. Therefore, the goal of this study is to find risk variables that could have an early impact on software development. In this study, a machine learning technique called technique C4.5 is employed to create decision tree models. 100 respondents with software design experience participated in the online surveys and questionnaires that collected the data for this study in 2022. The C4.5 Algorithm was used in this study to analyze the data and determine the risk variables that affect the success of software design. The study's findings show that the C4.5 Algorithm-based model has a high level of accuracy (93.33%), which means that the data can offer crucial insights into understanding potential risks that may arise during the software design stage, enabling software developers to take the necessary precautions to lessen or eliminate these risks. In order to enhance the caliber and effectiveness of software design, this research is anticipated to provide a significant contribution to practitioners and academics in the field of software development.","PeriodicalId":484232,"journal":{"name":"IT journal research and development","volume":"55 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139775506","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}
{"title":"The Role of the Principal as an Educator in Developing Capability Teacher Information And Communication Technology","authors":"Putri Indah Sari, Dea Mustika, Rizky Wandri","doi":"10.25299/itjrd.2023.12970","DOIUrl":"https://doi.org/10.25299/itjrd.2023.12970","url":null,"abstract":"The demands of teachers in this era require teachers to continue to develop with the times. It is the responsibility of the principal to help teachers improve their abilities. This study aims to determine the role, obstacles and solutions of the principal as an educator in developing the Information and Communication Technology skills of teachers at SD Negeri 109 Pekanbaru. This study used descriptive qualitative method. Data collection techniques using interviews, observation and documentation review. Testing the validity of the data using triangulation. Data analysis techniques namely data collection, data reduction, data presentation and drawing conclusions. The results showed that the principal had tried to carry out his role as an educator in developing teachers' ICT skills. The conclusion from the research results is that the role of the principal as an educator in developing teachers' ICT skills is carried out with strategies that have been prepared such as, involving teachers in all ICT-based training and providing opportunities for teachers to increase knowledge and skills, creating a conducive school atmosphere by completing infrastructure ICT and complement teaching materials by checking ICT teaching materials used by teachers in learning, providing guidance and advice at regular meetings or meetings and providing motivation such as giving praise to teachers who have contributed a lot to the school. \u0000 ","PeriodicalId":484232,"journal":{"name":"IT journal research and development","volume":"130 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139833806","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}
Benjamin Kommey, Oniti Jesutofunmi Isaac, E. Tamakloe, Daniel Opoku4
{"title":"Reinforcement Learning Review: Past Acts, Present Facts and Future Prospects","authors":"Benjamin Kommey, Oniti Jesutofunmi Isaac, E. Tamakloe, Daniel Opoku4","doi":"10.25299/itjrd.2023.13474","DOIUrl":"https://doi.org/10.25299/itjrd.2023.13474","url":null,"abstract":"Reinforcement Learning (RL) is fast gaining traction as a major branch of machine learning, its applications have expanded well beyond its typical usage in games. Several subfields of reinforcement learning like deep reinforcement learning and multi-agent reinforcement learning are also expanding rapidly. This paper provides an extensive review on the field from the point of view of Machine Learning (ML). It begins by providing a historical perspective on the field then proceeds to lay a theoretical background on the field. It further discusses core reinforcement learning problems and approaches taken by different subfields before discussing the state of the art in the field. An inexhaustive list of applications of reinforcement learning is provided and their practicability and scalability assessed. The paper concludes by highlighting some open areas or issues in the field","PeriodicalId":484232,"journal":{"name":"IT journal research and development","volume":"51 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139775526","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}
{"title":"The Role of the Principal as an Educator in Developing Capability Teacher Information And Communication Technology","authors":"Putri Indah Sari, Dea Mustika, Rizky Wandri","doi":"10.25299/itjrd.2023.12970","DOIUrl":"https://doi.org/10.25299/itjrd.2023.12970","url":null,"abstract":"The demands of teachers in this era require teachers to continue to develop with the times. It is the responsibility of the principal to help teachers improve their abilities. This study aims to determine the role, obstacles and solutions of the principal as an educator in developing the Information and Communication Technology skills of teachers at SD Negeri 109 Pekanbaru. This study used descriptive qualitative method. Data collection techniques using interviews, observation and documentation review. Testing the validity of the data using triangulation. Data analysis techniques namely data collection, data reduction, data presentation and drawing conclusions. The results showed that the principal had tried to carry out his role as an educator in developing teachers' ICT skills. The conclusion from the research results is that the role of the principal as an educator in developing teachers' ICT skills is carried out with strategies that have been prepared such as, involving teachers in all ICT-based training and providing opportunities for teachers to increase knowledge and skills, creating a conducive school atmosphere by completing infrastructure ICT and complement teaching materials by checking ICT teaching materials used by teachers in learning, providing guidance and advice at regular meetings or meetings and providing motivation such as giving praise to teachers who have contributed a lot to the school. \u0000 ","PeriodicalId":484232,"journal":{"name":"IT journal research and development","volume":"12 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139774142","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}
J. Andry, Monica Clara, William Chandra, Marco Antonio, D. Y. Bernanda
{"title":"User Interface Analysis of PeduliLindungi Application to Improve User Experience with The Heuristic Evaluation Method","authors":"J. Andry, Monica Clara, William Chandra, Marco Antonio, D. Y. Bernanda","doi":"10.25299/itjrd.2023.12295","DOIUrl":"https://doi.org/10.25299/itjrd.2023.12295","url":null,"abstract":"The Covid-19 pandemic limits human activities every day. The spread of the virus is uncontrollable, it can attack anyone, anytime, and anywhere. As a solution, the use of the PeduliLindungi application technology developed by the Ministry of Communication and Information in collaboration with other relevant Ministries and Institutions is used to help track the spread of viruses and understand preventive measures to stop their spread. Research was conducted on the appearance of the application's User Interface using the Heuristic Evaluation method to measure its usefulness. However, there are several problems experienced by users, namely the information is not updated (vaccines and Covid-19 tests), the language used is inconsistent, and others. Questionnaire testing with 10 questions based on 10 Heuristic Evaluation criteria was distributed via Google Form to 33 respondents. Then, carry out validity and reliability tests with the research results obtained Valid and Reliable. as well as testing the hypothesis of all Learnability, Efficiency, Memorability, and Error Prevention factors, based on usability and user satisfaction aspects, questionnaire items all test results are accepted and there are no serious problems. However, there are a number of things that need to be improved so that the application can run more optimally.","PeriodicalId":484232,"journal":{"name":"IT journal research and development","volume":"560 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139834051","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}
Benjamin Kommey, Oniti Jesutofunmi Isaac, E. Tamakloe, Daniel Opoku4
{"title":"Reinforcement Learning Review: Past Acts, Present Facts and Future Prospects","authors":"Benjamin Kommey, Oniti Jesutofunmi Isaac, E. Tamakloe, Daniel Opoku4","doi":"10.25299/itjrd.2023.13474","DOIUrl":"https://doi.org/10.25299/itjrd.2023.13474","url":null,"abstract":"Reinforcement Learning (RL) is fast gaining traction as a major branch of machine learning, its applications have expanded well beyond its typical usage in games. Several subfields of reinforcement learning like deep reinforcement learning and multi-agent reinforcement learning are also expanding rapidly. This paper provides an extensive review on the field from the point of view of Machine Learning (ML). It begins by providing a historical perspective on the field then proceeds to lay a theoretical background on the field. It further discusses core reinforcement learning problems and approaches taken by different subfields before discussing the state of the art in the field. An inexhaustive list of applications of reinforcement learning is provided and their practicability and scalability assessed. The paper concludes by highlighting some open areas or issues in the field","PeriodicalId":484232,"journal":{"name":"IT journal research and development","volume":"326 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139835343","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}