INTI Nusa Mandiri最新文献

PENERAPAN METODE ASOSIASI PADA ANALISA POLA PEMINJAMAN BUKU PERPUSTAKAAN 联想法在图书馆图书借阅模式分析中的应用

INTI Nusa Mandiri Pub Date : 2024-02-20 DOI: 10.33480/inti.v18i2.5325

Fachri Amsury

{"title":"PENERAPAN METODE ASOSIASI PADA ANALISA POLA PEMINJAMAN BUKU PERPUSTAKAAN","authors":"Fachri Amsury","doi":"10.33480/inti.v18i2.5325","DOIUrl":"https://doi.org/10.33480/inti.v18i2.5325","url":null,"abstract":"The library produces a lot of book loan transaction data every day, but the data has not been maximally utilized due to the limited knowledge of the data, therefore the librarian cannot provide the right book recommendations for readers. The research aims to analyze book loan data by applying the Knowledge Discovery in Database (KDD) method. The research stages are observation and interviews, data selection and data preprocessing, data transformation. Data processing using the apriori algorithm association rule mining approach to provide an overview in seeing the pattern of book loan transactions. This is to provide book recommendations that match the reading interests of library members, so that it can become a reference in the layout of books on the shelf according to the results of the rules formed. The book loan transaction data used is the September period of 2023, the implementation uses the rapidminer application to find association rules. The results obtained as many as 77 rule recommendations with the highest support value of 10.7%, the highest confidence value of 100% and the highest lift value of 14. The rule formed is that if a library member borrows a book by Dale Carneige, the chances that the library member will also borrow a book by George Orwel are 100%. The results obtained can be a reference for the library to provide book recommendations to readers, maintain the availability of book stock and arrange the placement of these books on adjacent shelves.","PeriodicalId":197142,"journal":{"name":"INTI Nusa Mandiri","volume":"726 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140446427","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}

引用次数: 0

PENERAPAN MODEL WATERFALL DALAM PERANCANGAN APLIKASI DIGITAL CUSTOMER RELATIONSHIP MANAGEMENT PRODUK FASHION 在时尚产品的数字化客户关系管理中采用瀑布模型的方法

INTI Nusa Mandiri Pub Date : 2024-02-20 DOI: 10.33480/inti.v18i2.4995

Sri Harjunawati, Taufik Baidawi, Ida Hendarsih

{"title":"PENERAPAN MODEL WATERFALL DALAM PERANCANGAN APLIKASI DIGITAL CUSTOMER RELATIONSHIP MANAGEMENT PRODUK FASHION","authors":"Sri Harjunawati, Taufik Baidawi, Ida Hendarsih","doi":"10.33480/inti.v18i2.4995","DOIUrl":"https://doi.org/10.33480/inti.v18i2.4995","url":null,"abstract":"To win business competition and maintain market share, companies are required to be able to adapt to market conditions and use appropriate marketing strategies. Customer Relationship Management (CRM) is a marketing strategy to create and maintain good relationships with customers thereby reducing the possibility of customers moving to competitors. The aim of the research is to analyze and develop web-based CRM in the Marketing Information System at Toko Agung, East Jakarta. The research method used in this research is the Software Development Method using the waterfall model. The result is a web-based CRM system application that can manage customer data, product orders, payments and delivery of goods to customers. The implementation of this web-based digital CRM application is expected to make it easier for customers to select the desired product, place an order, make payments and receive goods without having to come to Toko Agung. For busy customers, this system is more efficient and effective. It is hoped that this convenience will have an impact on repeat purchases and will increase sales volume, which can then increase company profits. The Customer Relationship Management (CRM) application can simplify, speed up and optimize the quality of customer service, especially at Toko Agung, East Jakarta.","PeriodicalId":197142,"journal":{"name":"INTI Nusa Mandiri","volume":"278 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140447339","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}

引用次数: 0

OPTIMASI KINERJA LINEAR REGRESSION, RANDOM FOREST REGRESSION DAN MULTILAYER PERCEPTRON PADA PREDIKSI HASIL PANEN 优化线性回归、随机森林回归和多层感知器在全景预测中的应用

INTI Nusa Mandiri Pub Date : 2024-02-15 DOI: 10.33480/inti.v18i2.5269

E. Fitri, Siti Nurhasanah Nugraha

{"title":"OPTIMASI KINERJA LINEAR REGRESSION, RANDOM FOREST REGRESSION DAN MULTILAYER PERCEPTRON PADA PREDIKSI HASIL PANEN","authors":"E. Fitri, Siti Nurhasanah Nugraha","doi":"10.33480/inti.v18i2.5269","DOIUrl":"https://doi.org/10.33480/inti.v18i2.5269","url":null,"abstract":"Rice yield prediction is a significant challenge in the context of climate uncertainty and farmland variation. Erratic weather factors, along with land differences, make this prediction more complex. This research aims to address these issues using a machine learning approach. The method used involves three machine learning models namely Linear regression, Random Forest Regression, and ANN with MultiLayer Perceptron algorithm as well as the evaluation matrix RMSE (Root Mean Squared Error), MAE (Mean Absolute Error) and MAPE (Mean Absolute Percentage Error). This research focuses on testing the accuracy of the three models in the face of uncertain seasonal conditions and variations in agricultural land. The results showed that the MultiLayer Perceptron prediction model gave the best results with an error value of 0.094. The random forest regression method ranks second with an error value of 0.510, followed by Linear regression with an error value of 0.281. The importance of outlier testing in the model development process can be seen from the significant improvement in the performance of the MultiLayer Perceptron model. This research contributes to the development of a more reliable and dependable rice yield prediction system, especially in the midst of uncertain climatic conditions. Machine learning models, particularly MultiLayer Perceptron, can be an effective solution to increase agricultural productivity and reduce risks associated with weather changes and land variations.","PeriodicalId":197142,"journal":{"name":"INTI Nusa Mandiri","volume":"253 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139834624","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}

引用次数: 0

OPTIMASI KINERJA LINEAR REGRESSION, RANDOM FOREST REGRESSION DAN MULTILAYER PERCEPTRON PADA PREDIKSI HASIL PANEN 优化线性回归、随机森林回归和多层感知器在全景预测中的应用

INTI Nusa Mandiri Pub Date : 2024-02-15 DOI: 10.33480/inti.v18i2.5269

E. Fitri, Siti Nurhasanah Nugraha

{"title":"OPTIMASI KINERJA LINEAR REGRESSION, RANDOM FOREST REGRESSION DAN MULTILAYER PERCEPTRON PADA PREDIKSI HASIL PANEN","authors":"E. Fitri, Siti Nurhasanah Nugraha","doi":"10.33480/inti.v18i2.5269","DOIUrl":"https://doi.org/10.33480/inti.v18i2.5269","url":null,"abstract":"Rice yield prediction is a significant challenge in the context of climate uncertainty and farmland variation. Erratic weather factors, along with land differences, make this prediction more complex. This research aims to address these issues using a machine learning approach. The method used involves three machine learning models namely Linear regression, Random Forest Regression, and ANN with MultiLayer Perceptron algorithm as well as the evaluation matrix RMSE (Root Mean Squared Error), MAE (Mean Absolute Error) and MAPE (Mean Absolute Percentage Error). This research focuses on testing the accuracy of the three models in the face of uncertain seasonal conditions and variations in agricultural land. The results showed that the MultiLayer Perceptron prediction model gave the best results with an error value of 0.094. The random forest regression method ranks second with an error value of 0.510, followed by Linear regression with an error value of 0.281. The importance of outlier testing in the model development process can be seen from the significant improvement in the performance of the MultiLayer Perceptron model. This research contributes to the development of a more reliable and dependable rice yield prediction system, especially in the midst of uncertain climatic conditions. Machine learning models, particularly MultiLayer Perceptron, can be an effective solution to increase agricultural productivity and reduce risks associated with weather changes and land variations.","PeriodicalId":197142,"journal":{"name":"INTI Nusa Mandiri","volume":"64 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139775077","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}

引用次数: 0

PENERAPAN METODE APPLICATION DEVELOPMENT DALAM PERANCANGAN PROGRAM PENJUALAN TANAH KAVLING BERBASIS WEBSITE 设计基于网站的地块销售方案的应用开发方法

INTI Nusa Mandiri Pub Date : 2024-02-13 DOI: 10.33480/inti.v18i2.5034

Maharrandi Dwiki Saputra, Kusmayanti Solecha

{"title":"PENERAPAN METODE APPLICATION DEVELOPMENT DALAM PERANCANGAN PROGRAM PENJUALAN TANAH KAVLING BERBASIS WEBSITE","authors":"Maharrandi Dwiki Saputra, Kusmayanti Solecha","doi":"10.33480/inti.v18i2.5034","DOIUrl":"https://doi.org/10.33480/inti.v18i2.5034","url":null,"abstract":"Currently, property developer agencies are progressing rapidly, the supporting elements of home ownership are also facilitated by the presence of home ownership loans. In the process of selling land property, it still uses conventional methods so that customers must be present in person to find and order land plots. The sales process is still manual, causing errors in reporting and making it difficult for employees to find documents. The purpose of this research is to design a website-based land plot sales program that can facilitate the process of providing online land availability information, the land plot sales process which is equipped with a payment scheme calculator feature and a track booking feature. This research uses the Rapid application Development (RAD) model with the aim that the application can be efficient in processing time, and uses the black-box testing method in its testing. The result of this research is a land plot sales website with a payment scheme calculator feature and a track booking feature, so that the sales process becomes efficient, reporting data becomes accurate and data search becomes easier.","PeriodicalId":197142,"journal":{"name":"INTI Nusa Mandiri","volume":"129 44","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139780812","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}

引用次数: 0

PENERAPAN K-MEANS DAN K-MEDOIDS BERBASIS RFM PADA SEGMENTASI PELANGGAN DI MASA PANDEMI COVID-19 基于 RFM 的 K-means 和 K-medoids 在科维德-19 大流行病期间客户细分中的应用

INTI Nusa Mandiri Pub Date : 2024-02-13 DOI: 10.33480/inti.v18i2.4963

Sri Watmah, Dwizah Riana, Rachmawati Darma Astuti

{"title":"PENERAPAN K-MEANS DAN K-MEDOIDS BERBASIS RFM PADA SEGMENTASI PELANGGAN DI MASA PANDEMI COVID-19","authors":"Sri Watmah, Dwizah Riana, Rachmawati Darma Astuti","doi":"10.33480/inti.v18i2.4963","DOIUrl":"https://doi.org/10.33480/inti.v18i2.4963","url":null,"abstract":"The outbreak of the CORONA virus in Indonesia in early March 2020 has created unrest, especially in the business world. The impact caused some small and medium-sized businesses to go out of business, so the right marketing strategy is needed to maintain and increase customer loyalty. The purpose of this research is to segment PT Megadaya Maju Selaras' customers based on their characteristics by comparing the RFM-based K-Means and K-Medoids algorithms as attributes in the research. The dataset used comes from the purchase transaction data of PT Megadaya Maju Selaras customers. Experiments in this study used the CRISP-DM model. The results showed that the K-Means algorithm has a smaller Davies Bouldin Index (DBI) value than K-Medoids, meaning that the K-Means method is the right method for this research. With the K-Means method, the overall data shows the optimal k in cluster 4 with a DBI value of 0.286, the data before the pandemic shows the optimal k value in cluster 2 with a DBI value of 0.299, after the pandemic shows the optimal k in cluster 5 with a DBI value of 0.278. The overall data is divided into 4 segments, namely superstar, typical customer, occational customer and dormant customer. Data before the pandemic is divided into 2 segments, namely typical customers and superstars. Meanwhile, after the pandemic is divided into 5 segments, namely typical customer, occational customer, golden customer, dormant customer and superstar. With this research, PT Megadaya Maju Selaras can provide the right service for each customer group.","PeriodicalId":197142,"journal":{"name":"INTI Nusa Mandiri","volume":"136 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139780632","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}

引用次数: 0

PENERAPAN K-MEANS DAN K-MEDOIDS BERBASIS RFM PADA SEGMENTASI PELANGGAN DI MASA PANDEMI COVID-19 基于 RFM 的 K-means 和 K-medoids 在科维德-19 大流行病期间客户细分中的应用

INTI Nusa Mandiri Pub Date : 2024-02-13 DOI: 10.33480/inti.v18i2.4963

Sri Watmah, Dwizah Riana, Rachmawati Darma Astuti

{"title":"PENERAPAN K-MEANS DAN K-MEDOIDS BERBASIS RFM PADA SEGMENTASI PELANGGAN DI MASA PANDEMI COVID-19","authors":"Sri Watmah, Dwizah Riana, Rachmawati Darma Astuti","doi":"10.33480/inti.v18i2.4963","DOIUrl":"https://doi.org/10.33480/inti.v18i2.4963","url":null,"abstract":"The outbreak of the CORONA virus in Indonesia in early March 2020 has created unrest, especially in the business world. The impact caused some small and medium-sized businesses to go out of business, so the right marketing strategy is needed to maintain and increase customer loyalty. The purpose of this research is to segment PT Megadaya Maju Selaras' customers based on their characteristics by comparing the RFM-based K-Means and K-Medoids algorithms as attributes in the research. The dataset used comes from the purchase transaction data of PT Megadaya Maju Selaras customers. Experiments in this study used the CRISP-DM model. The results showed that the K-Means algorithm has a smaller Davies Bouldin Index (DBI) value than K-Medoids, meaning that the K-Means method is the right method for this research. With the K-Means method, the overall data shows the optimal k in cluster 4 with a DBI value of 0.286, the data before the pandemic shows the optimal k value in cluster 2 with a DBI value of 0.299, after the pandemic shows the optimal k in cluster 5 with a DBI value of 0.278. The overall data is divided into 4 segments, namely superstar, typical customer, occational customer and dormant customer. Data before the pandemic is divided into 2 segments, namely typical customers and superstars. Meanwhile, after the pandemic is divided into 5 segments, namely typical customer, occational customer, golden customer, dormant customer and superstar. With this research, PT Megadaya Maju Selaras can provide the right service for each customer group.","PeriodicalId":197142,"journal":{"name":"INTI Nusa Mandiri","volume":"30 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139840590","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}

引用次数: 0

PENERAPAN METODE APPLICATION DEVELOPMENT DALAM PERANCANGAN PROGRAM PENJUALAN TANAH KAVLING BERBASIS WEBSITE 设计基于网站的地块销售方案的应用开发方法

INTI Nusa Mandiri Pub Date : 2024-02-13 DOI: 10.33480/inti.v18i2.5034

Maharrandi Dwiki Saputra, Kusmayanti Solecha

{"title":"PENERAPAN METODE APPLICATION DEVELOPMENT DALAM PERANCANGAN PROGRAM PENJUALAN TANAH KAVLING BERBASIS WEBSITE","authors":"Maharrandi Dwiki Saputra, Kusmayanti Solecha","doi":"10.33480/inti.v18i2.5034","DOIUrl":"https://doi.org/10.33480/inti.v18i2.5034","url":null,"abstract":"Currently, property developer agencies are progressing rapidly, the supporting elements of home ownership are also facilitated by the presence of home ownership loans. In the process of selling land property, it still uses conventional methods so that customers must be present in person to find and order land plots. The sales process is still manual, causing errors in reporting and making it difficult for employees to find documents. The purpose of this research is to design a website-based land plot sales program that can facilitate the process of providing online land availability information, the land plot sales process which is equipped with a payment scheme calculator feature and a track booking feature. This research uses the Rapid application Development (RAD) model with the aim that the application can be efficient in processing time, and uses the black-box testing method in its testing. The result of this research is a land plot sales website with a payment scheme calculator feature and a track booking feature, so that the sales process becomes efficient, reporting data becomes accurate and data search becomes easier.","PeriodicalId":197142,"journal":{"name":"INTI Nusa Mandiri","volume":"193 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139840536","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}

引用次数: 0

ANALISIS KEPUASAN PENGGUNA WEBSITE ORLANSOFT MENGGUNAKAN METODE WEBQUAL 4.0 使用 Webqual 4.0 方法对 Orlansoft 网站进行用户满意度分析

INTI Nusa Mandiri Pub Date : 2024-02-07 DOI: 10.33480/inti.v18i2.5125

S. Nurlela, M. Ilham, S. Supriatna

{"title":"ANALISIS KEPUASAN PENGGUNA WEBSITE ORLANSOFT MENGGUNAKAN METODE WEBQUAL 4.0","authors":"S. Nurlela, M. Ilham, S. Supriatna","doi":"10.33480/inti.v18i2.5125","DOIUrl":"https://doi.org/10.33480/inti.v18i2.5125","url":null,"abstract":"Orlansoft website is an ERP (Enterprise Resource Planning) solution that unifies business operations into a single system that integrates and optimizes business processes and provides real-time critical information for all entities and office locations from a single source. PT Multifortuna Sinardelta, in its business processes, uses the Orlansoft website. The quality of the website greatly affects the level of user satisfaction itself. The higher the quality of a website, the more users will access the website. So far, there is no appropriate method and way to measure user quality of the Orlansoft website. This research examines the extent of user satisfaction in using website services. The Webqual 4.0 method has been successfully applied to similar research with website quality measurement and helps to understand the factors that affect user satisfaction, with three measurement categories including usability, information quality and service interaction quality. From the test results, the calculated F value = 11.536 with a significance of 0.0000011. In this study, the calculated F value is 11.536> F table 2.81 and the significance value is 0.0000011 <0.01, thus it can be concluded that variables X1 (usability quality), X2 (information quality), and X3 (service interaction quality) have a significant and positive effect on variable Y (user satisfaction). This is evidenced by the results of the analysis which gives positive results for each variable on the dependent variable.","PeriodicalId":197142,"journal":{"name":"INTI Nusa Mandiri","volume":"14 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139795397","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}

引用次数: 0

ANALISIS KEPUASAN PENGGUNA WEBSITE ORLANSOFT MENGGUNAKAN METODE WEBQUAL 4.0 使用 Webqual 4.0 方法对 Orlansoft 网站进行用户满意度分析

INTI Nusa Mandiri Pub Date : 2024-02-07 DOI: 10.33480/inti.v18i2.5125

S. Nurlela, M. Ilham, S. Supriatna

{"title":"ANALISIS KEPUASAN PENGGUNA WEBSITE ORLANSOFT MENGGUNAKAN METODE WEBQUAL 4.0","authors":"S. Nurlela, M. Ilham, S. Supriatna","doi":"10.33480/inti.v18i2.5125","DOIUrl":"https://doi.org/10.33480/inti.v18i2.5125","url":null,"abstract":"Orlansoft website is an ERP (Enterprise Resource Planning) solution that unifies business operations into a single system that integrates and optimizes business processes and provides real-time critical information for all entities and office locations from a single source. PT Multifortuna Sinardelta, in its business processes, uses the Orlansoft website. The quality of the website greatly affects the level of user satisfaction itself. The higher the quality of a website, the more users will access the website. So far, there is no appropriate method and way to measure user quality of the Orlansoft website. This research examines the extent of user satisfaction in using website services. The Webqual 4.0 method has been successfully applied to similar research with website quality measurement and helps to understand the factors that affect user satisfaction, with three measurement categories including usability, information quality and service interaction quality. From the test results, the calculated F value = 11.536 with a significance of 0.0000011. In this study, the calculated F value is 11.536> F table 2.81 and the significance value is 0.0000011 <0.01, thus it can be concluded that variables X1 (usability quality), X2 (information quality), and X3 (service interaction quality) have a significant and positive effect on variable Y (user satisfaction). This is evidenced by the results of the analysis which gives positive results for each variable on the dependent variable.","PeriodicalId":197142,"journal":{"name":"INTI Nusa Mandiri","volume":"78 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855449","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}

引用次数: 0