Imam Fathurrahman, I. Gunawan, L. Samsu, Nia Budiarti
Water is an important natural resource for human life, but in some coastal areas, the availability of clean water is often a serious problem. One source of water used by communities in these areas is wells, which often do not meet health standards for consumption. Manual methods for detecting well water quality still require long, expensive, and inefficient processes. Therefore, the development of a system that can detect water quality in real-time and provide fast and accurate information to the community is needed. The Internet of Things (IoT) technology, which allows objects to be connected to the internet, provides a solution that can be utilized. In this study, a Smart System was designed using salinity and manganese sensors to monitor the real-time quality of well water in coastal areas. Data from these sensors are sent to a server through the internet and analyzed to provide information to users via the Blynk application on their smartphones. With this system, communities can directly monitor the quality of well water, take appropriate actions, and safeguard the health of local residents. Additionally, this system can also assist relevant government or institutions in monitoring and taking quick actions in response to changes in well water quality in coastal areas
{"title":"Rancang Bangun Smart System Pendeteksi Air Layak Minum Pada Sumur di Daerah Pesisir Pantai Berbasis Internet Of Things (IoT)","authors":"Imam Fathurrahman, I. Gunawan, L. Samsu, Nia Budiarti","doi":"10.29408/jit.v6i2.15872","DOIUrl":"https://doi.org/10.29408/jit.v6i2.15872","url":null,"abstract":"Water is an important natural resource for human life, but in some coastal areas, the availability of clean water is often a serious problem. One source of water used by communities in these areas is wells, which often do not meet health standards for consumption. Manual methods for detecting well water quality still require long, expensive, and inefficient processes. Therefore, the development of a system that can detect water quality in real-time and provide fast and accurate information to the community is needed. The Internet of Things (IoT) technology, which allows objects to be connected to the internet, provides a solution that can be utilized. In this study, a Smart System was designed using salinity and manganese sensors to monitor the real-time quality of well water in coastal areas. Data from these sensors are sent to a server through the internet and analyzed to provide information to users via the Blynk application on their smartphones. With this system, communities can directly monitor the quality of well water, take appropriate actions, and safeguard the health of local residents. Additionally, this system can also assist relevant government or institutions in monitoring and taking quick actions in response to changes in well water quality in coastal areas","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85013814","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}
A. Nur, F. Fathurrahman, Muhammad Saipul, Nila Sulastri Oktavia
Stunting is a growth disorder in children and toddlers caused by lack of nutritional intake, so that children's height is stunted compared to children their age. Currently, stunting sufferers in West Sakra District can be said to be quite vulnerable. So it requires intensive treatment and attention quickly and precisely. In mapping the area of stunting sufferers in West Sakra District it is still manual so that in the process of searching for areas with stunting in West Sakra it takes a long time and tends to cause problems. Therefore, a study was conducted to create a geographic information system for mapping the areas of stunting sufferers in West Sakra District. The purpose of this system is to provide convenience and help the West Sakra District, especially the Rensing Health Center, which manages the data. The steps taken in making this system are system requirements analysis, system design, system creation, and system testing. And in making this system, using the PHP programming language and using MySQL as the database
{"title":"Rancang Bangun Sistem Informasi Geografis Pemetaan Wilayah Penderita Penyakit Stunting","authors":"A. Nur, F. Fathurrahman, Muhammad Saipul, Nila Sulastri Oktavia","doi":"10.29408/jit.v6i2.17484","DOIUrl":"https://doi.org/10.29408/jit.v6i2.17484","url":null,"abstract":"Stunting is a growth disorder in children and toddlers caused by lack of nutritional intake, so that children's height is stunted compared to children their age. Currently, stunting sufferers in West Sakra District can be said to be quite vulnerable. So it requires intensive treatment and attention quickly and precisely. In mapping the area of stunting sufferers in West Sakra District it is still manual so that in the process of searching for areas with stunting in West Sakra it takes a long time and tends to cause problems. Therefore, a study was conducted to create a geographic information system for mapping the areas of stunting sufferers in West Sakra District. The purpose of this system is to provide convenience and help the West Sakra District, especially the Rensing Health Center, which manages the data. The steps taken in making this system are system requirements analysis, system design, system creation, and system testing. And in making this system, using the PHP programming language and using MySQL as the database","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84363861","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 economic life of the people on the coast, especially fishermen, is very dependent on the natural resources that are around, for example, marine resources, which still get the top position in the survival of fishing communities which are widely used and are also included as renewable natural resources. One example used as material for this research is the fishing community in East Lombok, West Nusa Tenggara. The Fishermen's Community can be interpreted as a group of people whose main livelihood is fishermen. The characteristics of the life of this community are different from society in general. Natural factors influence their lives a lot, from their lifestyle to the level of their economy and welfare, which is different from other communities. The purpose of this study is to predict the level of welfare of fishing communities in East Lombok, West Nusa Tenggara by using the classification method and the Random Forest algorithm. The dataset used is private data, the data is taken from fishing applications. Data processing is done to get the result or performance of the algorithm as the best result in predicting. From the existing dataset we use five supporting variables including, Education, family members, wells (related to clean water), employment and housing. The results or targets of this data processing are the level of welfare of fishing communities with prosperous and non-prosperous statuses. The final results of this study are seen using the Confusion Matrix, where the end result is the accuracy value. Random Forest has the highest accuracy value with a value of 93.37% and an AUC value of 0.735%.
{"title":"Analisa Prediksi Kesejahteraan Masyarakat Nelayan Lombok Timur Menggunakan Algoritma Random Forest","authors":"Arnila Sandi, K. Kusrini, Kusnawi Kusnawi","doi":"10.29408/jit.v6i2.10104","DOIUrl":"https://doi.org/10.29408/jit.v6i2.10104","url":null,"abstract":"The economic life of the people on the coast, especially fishermen, is very dependent on the natural resources that are around, for example, marine resources, which still get the top position in the survival of fishing communities which are widely used and are also included as renewable natural resources. One example used as material for this research is the fishing community in East Lombok, West Nusa Tenggara. The Fishermen's Community can be interpreted as a group of people whose main livelihood is fishermen. The characteristics of the life of this community are different from society in general. Natural factors influence their lives a lot, from their lifestyle to the level of their economy and welfare, which is different from other communities. The purpose of this study is to predict the level of welfare of fishing communities in East Lombok, West Nusa Tenggara by using the classification method and the Random Forest algorithm. The dataset used is private data, the data is taken from fishing applications. Data processing is done to get the result or performance of the algorithm as the best result in predicting. From the existing dataset we use five supporting variables including, Education, family members, wells (related to clean water), employment and housing. The results or targets of this data processing are the level of welfare of fishing communities with prosperous and non-prosperous statuses. The final results of this study are seen using the Confusion Matrix, where the end result is the accuracy value. Random Forest has the highest accuracy value with a value of 93.37% and an AUC value of 0.735%.","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"102 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76277849","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 implementation of the Merdeka Curriculum (MC) is a program launched by the Indonesian government to enhance the quality of education at all levels. Despite the MC providing flexibility and facilitation for deep learning focused on character development, the utilization of Augmented Reality (AR) in education remains limited in Indonesian schools. Therefore, this research aims to address the research gap and offer research novelty by developing an innovative AR-based spatial geometry instructional media. This study adopts the ADDIE (Analysis, Design, Development, Implementation, Evaluation) methodological approach and involves four experts, including two media experts and two subject matter experts, for the feasibility assessment. Additionally, 25 fifth-grade students from SDN 2 Sandubaya serve as respondents in this research. The findings reveal that the developed instructional media has received high feasibility ratings from media experts (87%) and subject matter experts (84%). Moreover, users' responses towards the application yielded a positive rating of 99%. Thus, this research makes a significant contribution to the field of AR-based instructional media development by addressing the research gap concerning the utilization of AR in spatial geometry education within Indonesian schools. Furthermore, this study offers novelty by introducing an innovative approach to instructional media development, garnering positive user outcomes. The developed instructional media can serve as an effective and engaging resource for spatial geometry education for fifth-grade students
实施默迪卡课程(MC)是印尼政府为提高各级教育质量而推出的一项计划。尽管MC为专注于性格发展的深度学习提供了灵活性和便利，但在印尼学校中，增强现实(AR)在教育中的应用仍然有限。因此，本研究旨在通过开发一种创新的基于ar的空间几何教学媒体来填补研究空白并提供研究新颖性。本研究采用ADDIE (Analysis, Design, Development, Implementation, Evaluation)方法，由四位专家参与可行性评估，其中包括两位媒体专家和两位主题专家。此外，本研究还以25名来自Sandubaya SDN 2的五年级学生作为调查对象。研究结果显示，发展的教学媒体获得媒体专家(87%)和主题专家(84%)的高可行性评级。此外，用户对该应用程序的反应产生了99%的正面评价。因此，本研究通过解决印度尼西亚学校在空间几何教育中使用AR的研究差距，为基于AR的教学媒体发展领域做出了重大贡献。此外，本研究通过引入一种创新的教学媒体开发方法提供了新颖性，获得了积极的用户结果。开发的教学媒体可作为五年级学生空间几何教育的有效资源
{"title":"Pengembangan Media Pembelajaran Bangun Ruang Berbasis Augmented Reality","authors":"Baiq Desi Dwi Arianti, Muhammad Djamaluddin","doi":"10.29408/jit.v6i2.18812","DOIUrl":"https://doi.org/10.29408/jit.v6i2.18812","url":null,"abstract":"The implementation of the Merdeka Curriculum (MC) is a program launched by the Indonesian government to enhance the quality of education at all levels. Despite the MC providing flexibility and facilitation for deep learning focused on character development, the utilization of Augmented Reality (AR) in education remains limited in Indonesian schools. Therefore, this research aims to address the research gap and offer research novelty by developing an innovative AR-based spatial geometry instructional media. This study adopts the ADDIE (Analysis, Design, Development, Implementation, Evaluation) methodological approach and involves four experts, including two media experts and two subject matter experts, for the feasibility assessment. Additionally, 25 fifth-grade students from SDN 2 Sandubaya serve as respondents in this research. The findings reveal that the developed instructional media has received high feasibility ratings from media experts (87%) and subject matter experts (84%). Moreover, users' responses towards the application yielded a positive rating of 99%. Thus, this research makes a significant contribution to the field of AR-based instructional media development by addressing the research gap concerning the utilization of AR in spatial geometry education within Indonesian schools. Furthermore, this study offers novelty by introducing an innovative approach to instructional media development, garnering positive user outcomes. The developed instructional media can serve as an effective and engaging resource for spatial geometry education for fifth-grade students","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84644220","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 point of sale (POS) system is not something foreign to prominent entrepreneurs, this system has long been used by large-scale business actors, but generally, a system like this has complex features and its operation requires special personnel, therefore in the all-digital era Currently, there are still many small entrepreneurs using traditional processes in managing their businesses due to limited access to technology and costs, this will undoubtedly take time and reduce business productivity compared to using modern management systems. Then we need a POS that is easier to access and does not require large costs by small or medium-scale businesses, because it will be the right solution for business management with a lot of manual work automated by the system, such as profit and loss calculations, information on the availability of goods, information on quantities goods, and transaction processes using a scan code where the total payment and change will be calculated automatically by the system, of course with the presence of this point of sale system it will make it easier for small and medium business actors because the system is available in the form of mobile application which can be accessed easily by many business groups.
{"title":"Rancang Bangun Sistem Point Of Sale Berbasis Mobile untuk Meningkatkan Produktivitas Usaha","authors":"Muhamad Sadali, Yupi Kuspandi Putra, Andri Wahyu Anugrah","doi":"10.29408/jit.v6i2.16811","DOIUrl":"https://doi.org/10.29408/jit.v6i2.16811","url":null,"abstract":"The point of sale (POS) system is not something foreign to prominent entrepreneurs, this system has long been used by large-scale business actors, but generally, a system like this has complex features and its operation requires special personnel, therefore in the all-digital era Currently, there are still many small entrepreneurs using traditional processes in managing their businesses due to limited access to technology and costs, this will undoubtedly take time and reduce business productivity compared to using modern management systems. Then we need a POS that is easier to access and does not require large costs by small or medium-scale businesses, because it will be the right solution for business management with a lot of manual work automated by the system, such as profit and loss calculations, information on the availability of goods, information on quantities goods, and transaction processes using a scan code where the total payment and change will be calculated automatically by the system, of course with the presence of this point of sale system it will make it easier for small and medium business actors because the system is available in the form of mobile application which can be accessed easily by many business groups.","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86434197","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}
Blogs are currently not only used as online diaries or online journals. Blog content that supports text, images, videos, gifs, animations, pdfs and YouTube makes the use of blogs more than just online dairy. Currently blog is one of the media used by companies and organizations in promoting goods and services. The existence of bloggers is needed by companies and organizations to review their products and services with the aim of attracting online customers. One of the efforts to invite bloggers to be able to review products in an interesting way has led business actors to become interested in holding blog contests. In this research, a model was built to predict blogs that have a chance to win by applying the C4.5 decision tree algorithm. The prediction model was created using 100 blog contest participant data obtained from three blog competitions organized by ASUS which were obtained through the contest participant links found on the committee blog. From the processed dataset, supporting seven variables including Word Count, DA, PA, Image Template, Domain and Champion. The resulting prediction model is a decision tree with 7 attributes which produces 11 leaves and 18 trees with an accuracy of 74% with a precision of 0.735 and a recall of 0.740.
{"title":"Penerapan Algoritma C4.5 Untuk Memprediksi Blog Yang Memiliki Peluang Juara","authors":"Rita Wati, K. Kusrini, Kusnawi Kusnawi","doi":"10.29408/jit.v6i2.16791","DOIUrl":"https://doi.org/10.29408/jit.v6i2.16791","url":null,"abstract":"Blogs are currently not only used as online diaries or online journals. Blog content that supports text, images, videos, gifs, animations, pdfs and YouTube makes the use of blogs more than just online dairy. Currently blog is one of the media used by companies and organizations in promoting goods and services. The existence of bloggers is needed by companies and organizations to review their products and services with the aim of attracting online customers. One of the efforts to invite bloggers to be able to review products in an interesting way has led business actors to become interested in holding blog contests. In this research, a model was built to predict blogs that have a chance to win by applying the C4.5 decision tree algorithm. The prediction model was created using 100 blog contest participant data obtained from three blog competitions organized by ASUS which were obtained through the contest participant links found on the committee blog. From the processed dataset, supporting seven variables including Word Count, DA, PA, Image Template, Domain and Champion. The resulting prediction model is a decision tree with 7 attributes which produces 11 leaves and 18 trees with an accuracy of 74% with a precision of 0.735 and a recall of 0.740.","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"113 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74118415","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}
Suhartini Suhartini, Hadian Mandala Putra, N. Nurhidayati
Attendance is something that must be done by students. In the attendance process, SMPN 3 Terara still uses the manual method. Therefore, we need a student attendance system that can collect and store the data so that it can be processed quickly, efficiently and accurately. One of the technologies currently developing is QR Code, QR Code is very much needed because of its ability to store larger data so that it can provide fast and accurate services. One of the things that can be done to support the author in designing a QR Code Application for Media Student Attendance services for SMPN 3 Terara is using the Extreme Programming research method. The purpose of this research is to establish an attendance system so that the process will be more efficient and can be monitored easily by the teacher and by the academic department. The results of this study are a student attendance application that uses a QR code as a medium for student attendance input based on a local network which is implemented in order to create an attendance information system that provides convenience for students in the attendance process, reduces acts of cheating committed by students, and facilitates reports when making recaps report.
{"title":"Penerapan Sistem Informasi untuk Media Absensi Menggunakan QR Code","authors":"Suhartini Suhartini, Hadian Mandala Putra, N. Nurhidayati","doi":"10.29408/jit.v6i2.17479","DOIUrl":"https://doi.org/10.29408/jit.v6i2.17479","url":null,"abstract":"Attendance is something that must be done by students. In the attendance process, SMPN 3 Terara still uses the manual method. Therefore, we need a student attendance system that can collect and store the data so that it can be processed quickly, efficiently and accurately. One of the technologies currently developing is QR Code, QR Code is very much needed because of its ability to store larger data so that it can provide fast and accurate services. One of the things that can be done to support the author in designing a QR Code Application for Media Student Attendance services for SMPN 3 Terara is using the Extreme Programming research method. The purpose of this research is to establish an attendance system so that the process will be more efficient and can be monitored easily by the teacher and by the academic department. The results of this study are a student attendance application that uses a QR code as a medium for student attendance input based on a local network which is implemented in order to create an attendance information system that provides convenience for students in the attendance process, reduces acts of cheating committed by students, and facilitates reports when making recaps report.","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75736453","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}
Aris Sudianto, Hariman Bahtiar, M. Wajdi, Mahpuz Mahpuz
Technological advances are currently developing so rapidly this has resulted in changes in social, cultural, and the world of work so that student competencies and skills must be able to adapt to the demands of the times. Therefore, Nadiem Makarim, Minister of Education, Culture, Research, and Technology of the Republic of Indonesia initiated and launched the Merdeka Learning program - Merdeka Campus as an effort to provide the best learning options for students, which is expected to be the answer to these demands. Merdeka Learning - Merdeka Campus gives students the right to take lessons outside their respective campuses but still get learning credits. The Informatics Engineering Study Program at Hamzanwadi University has currently implemented the Merdeka Learning - Merdeka Campus program. Among the 8 activities offered, there are 3 activities that are followed, namely independent studies, industrial internships, and village development. The results of the research that has been carried out show that the Merdeka Learning Information System for Merdeka Campus based on the website can help simplify the administrative process and facilitate data management
{"title":"Penerapan Aplikasi Merdeka Belajar Kampus Merdeka (MBKM) Sebagai Upaya Peningkatan Kualitas Perguruan Tinggi","authors":"Aris Sudianto, Hariman Bahtiar, M. Wajdi, Mahpuz Mahpuz","doi":"10.29408/jit.v6i2.17183","DOIUrl":"https://doi.org/10.29408/jit.v6i2.17183","url":null,"abstract":"Technological advances are currently developing so rapidly this has resulted in changes in social, cultural, and the world of work so that student competencies and skills must be able to adapt to the demands of the times. Therefore, Nadiem Makarim, Minister of Education, Culture, Research, and Technology of the Republic of Indonesia initiated and launched the Merdeka Learning program - Merdeka Campus as an effort to provide the best learning options for students, which is expected to be the answer to these demands. Merdeka Learning - Merdeka Campus gives students the right to take lessons outside their respective campuses but still get learning credits. The Informatics Engineering Study Program at Hamzanwadi University has currently implemented the Merdeka Learning - Merdeka Campus program. Among the 8 activities offered, there are 3 activities that are followed, namely independent studies, industrial internships, and village development. The results of the research that has been carried out show that the Merdeka Learning Information System for Merdeka Campus based on the website can help simplify the administrative process and facilitate data management","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"89 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78325434","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}
Winarnie Winarnie, K. Kusrini, Anggit Dwi Hartanto
The purpose of this study is to reduce the dimensions of the dataset that affect the prediction of breast cancer. The data used in research is very much data or is called high-dimensional data. The use of classification algorithms has weaknesses when used on high-dimensional data, so an appropriate method is needed to reduce the dimensions or variables used. There are several methods that can be used to reduce dimensions. In this study using the method of linear discriminant analysis (LDA). LDA is a supervised machine learning algorithm that is used to classify data into several classes, using a linear technique to determine the best set of linear variables to unify class data. LDA is used to reduce the dataset variables used by retaining information that is important for the classification process. The method used in this research is using LDA in data processing and then using a logistic regression model for the classification process. The conclusion obtained in this study is that LDA can overcome the problem of multiclass classification. The results obtained were 16 wrong cases out of a total of 455 cases so that the results obtained were 0.035% misclassification.
{"title":"Pengurangan Dimensi dengan Metode Linear Discriminant Analist (LDA)","authors":"Winarnie Winarnie, K. Kusrini, Anggit Dwi Hartanto","doi":"10.29408/jit.v6i2.10069","DOIUrl":"https://doi.org/10.29408/jit.v6i2.10069","url":null,"abstract":"The purpose of this study is to reduce the dimensions of the dataset that affect the prediction of breast cancer. The data used in research is very much data or is called high-dimensional data. The use of classification algorithms has weaknesses when used on high-dimensional data, so an appropriate method is needed to reduce the dimensions or variables used. There are several methods that can be used to reduce dimensions. In this study using the method of linear discriminant analysis (LDA). LDA is a supervised machine learning algorithm that is used to classify data into several classes, using a linear technique to determine the best set of linear variables to unify class data. LDA is used to reduce the dataset variables used by retaining information that is important for the classification process. The method used in this research is using LDA in data processing and then using a logistic regression model for the classification process. The conclusion obtained in this study is that LDA can overcome the problem of multiclass classification. The results obtained were 16 wrong cases out of a total of 455 cases so that the results obtained were 0.035% misclassification.","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"143 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86581487","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}
Shares are valuable documents that prove ownership of a company. Stock investment is one of the right choices to get more profit. There are various stocks in Indonesia, one of which is the shares of PT Bank Central Asia Tbk (BBCA). However, in making stock investments, it is necessary to analyze the data of a company that can determine the increase or decrease in a stock price. Very dynamic movements require data modeling to predict stock prices in order to get a high level of accuracy. In this study, modeling using the Long-Short Term Memory (LSTM) algorithm to predict BBCA stock prices. The data used is secondary daily data obtained from securities with a date range of January 3, 2011 to December 30, 2022. The main objective of this research is to analyze the accuracy of the LSTM algorithm in forecasting stock prices and to analyze the number of epochs in the formation of the optimal model. The optimal epoch variation is obtained with the number of epochs of 5 and batch size 1. The resulting values include Mean Absolute Error (MAE) of 96.92, Mean Squared Error (MSE) of 16185.22 and Root Mean Squared Error (RMSE) of 127.22. The results of this study provide further insight into the performance of the LSTM algorithm in stock price prediction and show that with the right parameter settings, it can be a useful tool for investors in making better investment decisions
股票是证明公司所有权的有价值的文件。股票投资是获得更多利润的正确选择之一。印尼有各种各样的股票，其中之一是PT Bank Central Asia Tbk (BBCA)的股票。然而，在进行股票投资时，有必要分析公司的数据，这些数据可以确定股票价格的上涨或下跌。非常动态的运动需要数据建模来预测股票价格，以获得高水平的准确性。本研究采用长短期记忆(LSTM)模型算法对丰原集团股票价格进行预测。数据为每日二级证券数据，日期范围为2011年1月3日至2022年12月30日。本研究的主要目的是分析LSTM算法预测股票价格的准确性，并分析最优模型形成的周期数。当迭代次数为5，批大小为1时，得到了最优的迭代变化。结果的平均绝对误差(MAE)为96.92，均方误差(MSE)为16185.22，均方根误差(RMSE)为127.22。本研究的结果进一步揭示了LSTM算法在股票价格预测中的表现，并表明在正确的参数设置下，它可以成为投资者做出更好投资决策的有用工具
{"title":"Prediksi Tren Pergerakan Harga Saham PT Bank Central Asia Tbk, Dengan Menggunakan Algoritma Long Shot Term Memory (LSTM)","authors":"M. N. Wathani, K. Kusrini, Kusnawi Kusnawi","doi":"10.29408/jit.v6i2.19824","DOIUrl":"https://doi.org/10.29408/jit.v6i2.19824","url":null,"abstract":"Shares are valuable documents that prove ownership of a company. Stock investment is one of the right choices to get more profit. There are various stocks in Indonesia, one of which is the shares of PT Bank Central Asia Tbk (BBCA). However, in making stock investments, it is necessary to analyze the data of a company that can determine the increase or decrease in a stock price. Very dynamic movements require data modeling to predict stock prices in order to get a high level of accuracy. In this study, modeling using the Long-Short Term Memory (LSTM) algorithm to predict BBCA stock prices. The data used is secondary daily data obtained from securities with a date range of January 3, 2011 to December 30, 2022. The main objective of this research is to analyze the accuracy of the LSTM algorithm in forecasting stock prices and to analyze the number of epochs in the formation of the optimal model. The optimal epoch variation is obtained with the number of epochs of 5 and batch size 1. The resulting values include Mean Absolute Error (MAE) of 96.92, Mean Squared Error (MSE) of 16185.22 and Root Mean Squared Error (RMSE) of 127.22. The results of this study provide further insight into the performance of the LSTM algorithm in stock price prediction and show that with the right parameter settings, it can be a useful tool for investors in making better investment decisions","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82162901","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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