Farida Ardiani, Rodhiyah Mardhiyyah, Izaaz Azaam Syahalam, Nasmah Nur Amiroh
Since the pandemic occurred, in March 2020, learning activities have changed from an offline to an online learning mode. This is the first time, such a huge change has occurred, simultaneously in the entire hemisphere. This learning mode opens a new discourse regarding the impact on the learning mode and educational evaluation results. The author aims to compare the results of the educational evaluation of the online learning mode during the pandemic with offline learning mode, so that differences will be known, as well as can be used to predict student learning outcomes, in order to obtain an overview of the effectiveness and efficiency of a learning mode. Data collection is carried out as an initial step in data processing, based on the final results of student learning, in certain courses taken every semester starting in 2017-2022. The data consists of 6 indicators, namely CI1-CI4, grades, and letter grades. The result of this study is the prediction of a more effective learning mode used, as decision support carried out by the forecasting method, comparing the Naïve Bayes and Decision Tree algorithm in getting the best accuracy value, by analyzing the learning mode offline to online.
{"title":"Forecasting: Analyze Online and Offline Learning Mode with Machine Learning Algorithms","authors":"Farida Ardiani, Rodhiyah Mardhiyyah, Izaaz Azaam Syahalam, Nasmah Nur Amiroh","doi":"10.14421/ijid.2022.3733","DOIUrl":"https://doi.org/10.14421/ijid.2022.3733","url":null,"abstract":"Since the pandemic occurred, in March 2020, learning activities have changed from an offline to an online learning mode. This is the first time, such a huge change has occurred, simultaneously in the entire hemisphere. This learning mode opens a new discourse regarding the impact on the learning mode and educational evaluation results. The author aims to compare the results of the educational evaluation of the online learning mode during the pandemic with offline learning mode, so that differences will be known, as well as can be used to predict student learning outcomes, in order to obtain an overview of the effectiveness and efficiency of a learning mode. Data collection is carried out as an initial step in data processing, based on the final results of student learning, in certain courses taken every semester starting in 2017-2022. The data consists of 6 indicators, namely CI1-CI4, grades, and letter grades. The result of this study is the prediction of a more effective learning mode used, as decision support carried out by the forecasting method, comparing the Naïve Bayes and Decision Tree algorithm in getting the best accuracy value, by analyzing the learning mode offline to online.","PeriodicalId":33558,"journal":{"name":"IJID International Journal on Informatics for Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46960832","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}
Rr. Hajar, Puji Sejati, Rodhiyah Mardhiyyah, Nur Istiqomah, R. Imam, Budi Prasetya
The digital era affects students' attitudes toward utilizing applications as learning media. This phenomenon can be used to boost student achievement, but it can also have negative consequences, such as chatting while studying or cheating on school exams. To support the positive and reduce the negative impact of smartphone use, it is necessary to supervise this activity. The supervision can be done by utilizing a camera to detect a smartphone. The YOLOv5 algorithm was used, which is known for its good speed and accuracy in object detection. This smartphone detection system can be controlled, so the application is adjustable to the needs of learning activities. Collecting a dataset, annotating, training objects, writing program code, and testing the system are all stages in the development of this system. The dataset used in this research consists of 1,038 smartphone images from the internet and camera-captured images. This detection system was built to assist teachers in monitoring the use of smartphones by students. The results of this model training are 77.7% mean average precision, 93.2% precision rate, and 71.7% recall rate under varying lighting conditions.
{"title":"Real-time Smartphone Usage Surveillance System Based on YOLOv5","authors":"Rr. Hajar, Puji Sejati, Rodhiyah Mardhiyyah, Nur Istiqomah, R. Imam, Budi Prasetya","doi":"10.14421/ijid.2022.3766","DOIUrl":"https://doi.org/10.14421/ijid.2022.3766","url":null,"abstract":"The digital era affects students' attitudes toward utilizing applications as learning media. This phenomenon can be used to boost student achievement, but it can also have negative consequences, such as chatting while studying or cheating on school exams. To support the positive and reduce the negative impact of smartphone use, it is necessary to supervise this activity. The supervision can be done by utilizing a camera to detect a smartphone. The YOLOv5 algorithm was used, which is known for its good speed and accuracy in object detection. This smartphone detection system can be controlled, so the application is adjustable to the needs of learning activities. Collecting a dataset, annotating, training objects, writing program code, and testing the system are all stages in the development of this system. The dataset used in this research consists of 1,038 smartphone images from the internet and camera-captured images. This detection system was built to assist teachers in monitoring the use of smartphones by students. The results of this model training are 77.7% mean average precision, 93.2% precision rate, and 71.7% recall rate under varying lighting conditions.","PeriodicalId":33558,"journal":{"name":"IJID International Journal on Informatics for Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48728217","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}
Ica Dwi, Gusmelia Testiana, Imamulhakim Syahid Putra
YBM PLN UIWS2JB provides scholarships for high school students who cannot afford school tuition due to poverty or other economic conditions. Since the target is specific, the foundation must carefully select the recipients to ensure the scholarship is granted to those who deserve it. The predetermined criteria combined with the limited quota available become a difficulty in itself as a large number of applications are coming in. Data mining with a classification method using the K-Nearest Neighbor algorithm is believed to be one of the alternative solutions to solve this problem. This study aims to examine how this method could help in the selection process to determine who is eligible to receive the scholarship, and it also aims to evaluate the algorithm's performance with the optimal K value. The findings of this research showed that the classification method using K-Nearest Neighbor is the potential to be applied in a case such as this. The results found an accuracy of 91% in the selection process and are included in the Excellent Classification category. The optimal K value obtained is K = 5.
{"title":"Classifying High School Scholarship Recipients Using the K-Nearest Neighbor Algorithm","authors":"Ica Dwi, Gusmelia Testiana, Imamulhakim Syahid Putra","doi":"10.14421/ijid.2022.3804","DOIUrl":"https://doi.org/10.14421/ijid.2022.3804","url":null,"abstract":" \u0000YBM PLN UIWS2JB provides scholarships for high school students who cannot afford school tuition due to poverty or other economic conditions. Since the target is specific, the foundation must carefully select the recipients to ensure the scholarship is granted to those who deserve it. The predetermined criteria combined with the limited quota available become a difficulty in itself as a large number of applications are coming in. Data mining with a classification method using the K-Nearest Neighbor algorithm is believed to be one of the alternative solutions to solve this problem. This study aims to examine how this method could help in the selection process to determine who is eligible to receive the scholarship, and it also aims to evaluate the algorithm's performance with the optimal K value. The findings of this research showed that the classification method using K-Nearest Neighbor is the potential to be applied in a case such as this. The results found an accuracy of 91% in the selection process and are included in the Excellent Classification category. The optimal K value obtained is K = 5.","PeriodicalId":33558,"journal":{"name":"IJID International Journal on Informatics for Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45446043","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}
Yudha Riwanto, M. Nuruzzaman, Shofwatul Uyun, B. Sugiantoro
High accuracy and speed in data search, which are aims at finding the best solution to a problem, are essential. This study examines the brute force method, genetic algorithm, and two proposed algorithms which are the development of the brute force algorithm and genetic algorithm, namely Multiple Crossover Genetic, and Genetics with increments values. Brute force is a method with a direct approach to solving a problem based on the formulation of the problem and the definition of the concepts involved. A genetic algorithm is a search algorithm that uses genetic evolution that occurs in living things as its basis. This research selected the case of determining the pin series by looking for a match between the target and the search result. To test the suitability of the method, 100-time tests were conducted for each algorithm. The results of this study indicated that brute force has the highest average generation rate of 737146.3469 and an average time of 1960.4296, and the latter algorithm gets the best score with an average generation rate of 36.78 and an average time of 0.0642.
{"title":"Data Search Process Optimization using Brute Force and Genetic Algorithm Hybrid Method","authors":"Yudha Riwanto, M. Nuruzzaman, Shofwatul Uyun, B. Sugiantoro","doi":"10.14421/ijid.2022.3743","DOIUrl":"https://doi.org/10.14421/ijid.2022.3743","url":null,"abstract":"High accuracy and speed in data search, which are aims at finding the best solution to a problem, are essential. This study examines the brute force method, genetic algorithm, and two proposed algorithms which are the development of the brute force algorithm and genetic algorithm, namely Multiple Crossover Genetic, and Genetics with increments values. Brute force is a method with a direct approach to solving a problem based on the formulation of the problem and the definition of the concepts involved. A genetic algorithm is a search algorithm that uses genetic evolution that occurs in living things as its basis. This research selected the case of determining the pin series by looking for a match between the target and the search result. To test the suitability of the method, 100-time tests were conducted for each algorithm. The results of this study indicated that brute force has the highest average generation rate of 737146.3469 and an average time of 1960.4296, and the latter algorithm gets the best score with an average generation rate of 36.78 and an average time of 0.0642.","PeriodicalId":33558,"journal":{"name":"IJID International Journal on Informatics for Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44781182","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}
Kholid Haryono, R. Rajagede, Muhammad Ulil Albab Surya Negara
The application of the Qur'an for the memorizers in adding and maintaining their memorization continues to grow in number. No less than 200 digital Qur'an applications are available on mobile application providers. In addition, publications on the topic of the digital Qur'an in the last ten years have also increased. Through these applications and publications, it is an opportunity to find patterns and knowledge about current topics and features. Through this knowledge, it is hoped that it can be a recommendation for a better form of digital Al-Qur'an application system, especially providing features that affect increasing the ease and quality of memorizing the Qur'an. This paper aims to explore the application of the Qur'an specifically for memorizing and papers on the topic to provide these recommendations. The method used to get the paper using PRISMA. While the applications being reviewed are taken from the AppStore. As a result, 31 papers were reviewed and 12 main applications regarding the Qur'an for memorization were obtained. Through the answers to each research question, it can be used by subsequent researchers as well as by system developers in developing Al-Qur'an products for better memorization of tense.
{"title":"Quran Memorization Technologies and Methods: Literature Review","authors":"Kholid Haryono, R. Rajagede, Muhammad Ulil Albab Surya Negara","doi":"10.14421/ijid.2022.3746","DOIUrl":"https://doi.org/10.14421/ijid.2022.3746","url":null,"abstract":"The application of the Qur'an for the memorizers in adding and maintaining their memorization continues to grow in number. No less than 200 digital Qur'an applications are available on mobile application providers. In addition, publications on the topic of the digital Qur'an in the last ten years have also increased. Through these applications and publications, it is an opportunity to find patterns and knowledge about current topics and features. Through this knowledge, it is hoped that it can be a recommendation for a better form of digital Al-Qur'an application system, especially providing features that affect increasing the ease and quality of memorizing the Qur'an. This paper aims to explore the application of the Qur'an specifically for memorizing and papers on the topic to provide these recommendations. The method used to get the paper using PRISMA. While the applications being reviewed are taken from the AppStore. As a result, 31 papers were reviewed and 12 main applications regarding the Qur'an for memorization were obtained. Through the answers to each research question, it can be used by subsequent researchers as well as by system developers in developing Al-Qur'an products for better memorization of tense.","PeriodicalId":33558,"journal":{"name":"IJID International Journal on Informatics for Development","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44287056","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}
E. B. Setiawan, Ferdika Bayu Herlambang, Angga Setiyadi
This research discusses the application that can help determine consumer segmentation and provide recommendations for culinary business, including its selling price. The technology used in this research is a GPS sensor, Google API and JavaScript Object Notation. An Android-based mobile application platform uses GPS sensors to determine the new business location. This research used the Promethee-II method for the recommendation process, and it was based on certain criteria, particularly the factors influencing consumers to purchase. Five criteria were applied, and eight alternatives were calculated. The application was developed with the waterfall model. Based on the results of the alpha testing and user acceptance test, it is concluded that the application which was successfully built could provide prospective business makers with information regarding recommended types of culinary businesses including their selling price, recommended business location, and information about the consumer segmentation.
{"title":"Culinary Business Recommendation Application Using Promethee-II Method","authors":"E. B. Setiawan, Ferdika Bayu Herlambang, Angga Setiyadi","doi":"10.14421/ijid.2022.3562","DOIUrl":"https://doi.org/10.14421/ijid.2022.3562","url":null,"abstract":"This research discusses the application that can help determine consumer segmentation and provide recommendations for culinary business, including its selling price. The technology used in this research is a GPS sensor, Google API and JavaScript Object Notation. An Android-based mobile application platform uses GPS sensors to determine the new business location. This research used the Promethee-II method for the recommendation process, and it was based on certain criteria, particularly the factors influencing consumers to purchase. Five criteria were applied, and eight alternatives were calculated. The application was developed with the waterfall model. Based on the results of the alpha testing and user acceptance test, it is concluded that the application which was successfully built could provide prospective business makers with information regarding recommended types of culinary businesses including their selling price, recommended business location, and information about the consumer segmentation.","PeriodicalId":33558,"journal":{"name":"IJID International Journal on Informatics for Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43161070","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}
Siti Rohaya, F. Trisakti Haryadi, Alia Bihrajihant Raya
Entrepreneurship education in universities plays a significant role in creating an entrepreneurial spirit in students. We explore the application of digital entrepreneurship education contained in the Digital Library Marketing course. This research is qualitative research with a case study. Data collection was conducted through in-depth semi-structured interviews with thirteen informants. The data are photos or videos of activities during the research, and videotape recordings. The data display the output of Digital Library Marketing lectures which shows how theories following research and observation of digital media interfaces are used as promotional and marketing media. The results showed that digital entrepreneurship education applied to the Digital Library Marketing course has an important influence on students to design a professional weblog as a medium of information, to create content writing about how to fill a weblog that can sell the products offered, and to do good copywriting, also to find ideas for delivery and promotion. Besides being applied to the Digital Library Marketing course, digital entrepreneurship education is also held in digital marketing workshops to provide prospective alums. This study is helpful for entrepreneurship education literature in libraries and information that intersects with digital technology as a medium for entrepreneurship.
{"title":"Application of Digital Entrepreneurship Education in the Digital Library Marketing Course","authors":"Siti Rohaya, F. Trisakti Haryadi, Alia Bihrajihant Raya","doi":"10.14421/ijid.2022.3653","DOIUrl":"https://doi.org/10.14421/ijid.2022.3653","url":null,"abstract":"Entrepreneurship education in universities plays a significant role in creating an entrepreneurial spirit in students. We explore the application of digital entrepreneurship education contained in the Digital Library Marketing course. This research is qualitative research with a case study. Data collection was conducted through in-depth semi-structured interviews with thirteen informants. The data are photos or videos of activities during the research, and videotape recordings. The data display the output of Digital Library Marketing lectures which shows how theories following research and observation of digital media interfaces are used as promotional and marketing media. The results showed that digital entrepreneurship education applied to the Digital Library Marketing course has an important influence on students to design a professional weblog as a medium of information, to create content writing about how to fill a weblog that can sell the products offered, and to do good copywriting, also to find ideas for delivery and promotion. Besides being applied to the Digital Library Marketing course, digital entrepreneurship education is also held in digital marketing workshops to provide prospective alums. This study is helpful for entrepreneurship education literature in libraries and information that intersects with digital technology as a medium for entrepreneurship.","PeriodicalId":33558,"journal":{"name":"IJID International Journal on Informatics for Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46529996","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}
Dwi Fithriyaningrum, S. Kusumawardani, S. Wibirama
In the digital era, Learning Management System is widely used to spread information in higher education, particularly at the university level. There are, however, issues with the Learning Management System's accessibility for users with disabilities. This research aims to investigate the accessibility issues of learning management websites of 30 universities in Indonesia. The top 30 universities in Indonesia according to Webometrics 2022 are the basis for this study. Accessibility issues will be identified and examined using the Wave evaluation tool which is in accordance with the Web Content Accessibility Guidelines 2.1 used by ISO 40500. Web Content Accessibility Guideline 2.1 has principles that any web should follow: Perceivable, Operable, Understandable, and Robust. Based on the research findings, The low contrast ratio between text and background, the absence of text explanations in the images, the lack of descriptive text on the links, the absence of text labels on the form, and the absence of text description on the button were the most frequently encountered accessibility issues.
{"title":"Accessibility Analysis of Learning Management System Websites","authors":"Dwi Fithriyaningrum, S. Kusumawardani, S. Wibirama","doi":"10.14421/ijid.2022.3485","DOIUrl":"https://doi.org/10.14421/ijid.2022.3485","url":null,"abstract":"In the digital era, Learning Management System is widely used to spread information in higher education, particularly at the university level. There are, however, issues with the Learning Management System's accessibility for users with disabilities. This research aims to investigate the accessibility issues of learning management websites of 30 universities in Indonesia. The top 30 universities in Indonesia according to Webometrics 2022 are the basis for this study. Accessibility issues will be identified and examined using the Wave evaluation tool which is in accordance with the Web Content Accessibility Guidelines 2.1 used by ISO 40500. Web Content Accessibility Guideline 2.1 has principles that any web should follow: Perceivable, Operable, Understandable, and Robust. Based on the research findings, The low contrast ratio between text and background, the absence of text explanations in the images, the lack of descriptive text on the links, the absence of text labels on the form, and the absence of text description on the button were the most frequently encountered accessibility issues.","PeriodicalId":33558,"journal":{"name":"IJID International Journal on Informatics for Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49093629","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 food security, fisheries and agriculture services work with local government to help the community. In carrying out its work, the government applies information technology to achieve the goals. Therefore, it is necessary to have an IT governance design to ensure the alignment of the government’s objectives and the use of IT. Governance is an important asset to measure the effectiveness and efficiency of work process improvement using IT. This research is conducted because there has never been an IT governance design assessment. The analysis and design of IT governance at government agencies are carried out using the COBIT 2019 framework to measure the level of IT capability. The research method used is descriptive qualitative by conducting interviews with influential government parties. This study obtained an IT governance design and detected important processes for the domains used, namely EDM04, APO04, APO07, APO08, APO11, BAI03, BAI08, BAI10.
{"title":"Evaluation and Implementation of IT Governance Using the 2019 COBIT Framework at the Department of Food Security, Agriculture and Fisheries of Balangan Regency","authors":"Rini Audia, B. Sugiantoro","doi":"10.14421/ijid.2022.3381","DOIUrl":"https://doi.org/10.14421/ijid.2022.3381","url":null,"abstract":"The food security, fisheries and agriculture services work with local government to help the community. In carrying out its work, the government applies information technology to achieve the goals. Therefore, it is necessary to have an IT governance design to ensure the alignment of the government’s objectives and the use of IT. Governance is an important asset to measure the effectiveness and efficiency of work process improvement using IT. This research is conducted because there has never been an IT governance design assessment. The analysis and design of IT governance at government agencies are carried out using the COBIT 2019 framework to measure the level of IT capability. The research method used is descriptive qualitative by conducting interviews with influential government parties. This study obtained an IT governance design and detected important processes for the domains used, namely EDM04, APO04, APO07, APO08, APO11, BAI03, BAI08, BAI10.","PeriodicalId":33558,"journal":{"name":"IJID International Journal on Informatics for Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44444060","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}
Anatansyah Ayomi Anandari, Epha Diana Supandi, M. W. Musthofa
The Fourier series is a trigonometric polynomial that has flexibility, so it adapts effectively to the local nature of the data. This Fourier series estimator is generally used when the data used is investigated for unknown patterns and there is a tendency for seasonal patterns. This study aims to determine the results of the best Fourier series nonparametric regression model and the level of accuracy of the Fourier series nonparametric regression model on rainfall data by month in West Java Province in 2015-2019. This research is about a nonparametric regression model of Fourier series which is estimated using Ordinary Least Square method. Nonparametric regression using the Fourier series approach was applied to Rainfall data in West Java Province in 2015-2019. The independent variables used were the average air humidity, air pressure, wind speed, and air temperature. The model used to model the amount of rainfall in West Java Province is a nonparametric Fourier series. The nonparametric regression model is the best Fourier series with K =13 values obtained Generalized Cross Validation, Mean Square Error, and R2 respectively at 549.92; 462.09; and 97.30%. The results showed that the variables of air humidity and air pressure had a significant effect on rainfall.
{"title":"Fourier Series Nonparametric Regression Modeling in the Case of Rainfall in West Java Province","authors":"Anatansyah Ayomi Anandari, Epha Diana Supandi, M. W. Musthofa","doi":"10.14421/ijid.2022.3300","DOIUrl":"https://doi.org/10.14421/ijid.2022.3300","url":null,"abstract":"The Fourier series is a trigonometric polynomial that has flexibility, so it adapts effectively to the local nature of the data. This Fourier series estimator is generally used when the data used is investigated for unknown patterns and there is a tendency for seasonal patterns. This study aims to determine the results of the best Fourier series nonparametric regression model and the level of accuracy of the Fourier series nonparametric regression model on rainfall data by month in West Java Province in 2015-2019. This research is about a nonparametric regression model of Fourier series which is estimated using Ordinary Least Square method. Nonparametric regression using the Fourier series approach was applied to Rainfall data in West Java Province in 2015-2019. The independent variables used were the average air humidity, air pressure, wind speed, and air temperature. The model used to model the amount of rainfall in West Java Province is a nonparametric Fourier series. The nonparametric regression model is the best Fourier series with K =13 values obtained Generalized Cross Validation, Mean Square Error, and R2 respectively at 549.92; 462.09; and 97.30%. The results showed that the variables of air humidity and air pressure had a significant effect on rainfall.","PeriodicalId":33558,"journal":{"name":"IJID International Journal on Informatics for Development","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42697767","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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