Pub Date : 2020-08-21DOI: 10.5204/ijcis.v13i1.1331
H. Came, Emmanuel Badu, Julia Ioane, L. Manson, T. McCreanor
New Zealand Governments have longstanding policy commitments to equal employment practices. Little attention has been paid to ethnic pay disparities in recent years. Informed by a series of official information act requests, we were interested to find out what extent, ethnic pay disparities existed within the core public sector and district health boards (DHBs). We examined the population proportions of Māori, Pasifika and Other ethnicities earning over $NZ100,000 over five year intervals between 2001 to 2016, using linear regression analysis. The analyses showed a statistically significant pattern of ethnic pay disparities across the public sector. There were fewer Māori and Pasifika staff employed in DHBs than their population proportion. The failure to promote Māori and Pasifika to the upper tiers of public sector is consistent with definitions of institutional racism. The authors call for more research to understand the dynamics of ethnic pay disparity and the drivers of this disparity.
{"title":"Ethnic (pay) disparities in public sector leadership in Aotearoa New Zealand","authors":"H. Came, Emmanuel Badu, Julia Ioane, L. Manson, T. McCreanor","doi":"10.5204/ijcis.v13i1.1331","DOIUrl":"https://doi.org/10.5204/ijcis.v13i1.1331","url":null,"abstract":"New Zealand Governments have longstanding policy commitments to equal employment practices. Little attention has been paid to ethnic pay disparities in recent years. Informed by a series of official information act requests, we were interested to find out what extent, ethnic pay disparities existed within the core public sector and district health boards (DHBs). We examined the population proportions of Māori, Pasifika and Other ethnicities earning over $NZ100,000 over five year intervals between 2001 to 2016, using linear regression analysis. The analyses showed a statistically significant pattern of ethnic pay disparities across the public sector. There were fewer Māori and Pasifika staff employed in DHBs than their population proportion. The failure to promote Māori and Pasifika to the upper tiers of public sector is consistent with definitions of institutional racism. The authors call for more research to understand the dynamics of ethnic pay disparity and the drivers of this disparity.","PeriodicalId":54966,"journal":{"name":"International Journal of Cooperative Information Systems","volume":"13 1","pages":"70-85"},"PeriodicalIF":1.5,"publicationDate":"2020-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43819270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-18DOI: 10.5204/ijcis.v13i1.1346
Cari D. McIlduff, Michell Forster, Emily Carter, Jadnah Davies, Sue A. Thomas, K. Turner, C. Wilson, M. Sanders
The Model of Engaging Communities Collaboratively was developed with the integration of literature reviews in cultural adaptation approaches, engagement and implementation approaches; and international Indigenous feedback to inform the processes of implementing evidence-based practices (EBP) with Indigenous populations. This model synthesises the collective strengths of these approaches and feedback and provides checklists for practicality of use by researchers, service providers and global Indigenous populations alike. This article describes the process of the theoretical development of the MECC and the feedback that refined it into a functional model for working with Indigenous populations worldwide.
{"title":"Model of Engaging Communities Collaboratively","authors":"Cari D. McIlduff, Michell Forster, Emily Carter, Jadnah Davies, Sue A. Thomas, K. Turner, C. Wilson, M. Sanders","doi":"10.5204/ijcis.v13i1.1346","DOIUrl":"https://doi.org/10.5204/ijcis.v13i1.1346","url":null,"abstract":"The Model of Engaging Communities Collaboratively was developed with the integration of literature reviews in cultural adaptation approaches, engagement and implementation approaches; and international Indigenous feedback to inform the processes of implementing evidence-based practices (EBP) with Indigenous populations. This model synthesises the collective strengths of these approaches and feedback and provides checklists for practicality of use by researchers, service providers and global Indigenous populations alike. This article describes the process of the theoretical development of the MECC and the feedback that refined it into a functional model for working with Indigenous populations worldwide.","PeriodicalId":54966,"journal":{"name":"International Journal of Cooperative Information Systems","volume":"13 1","pages":"45-69"},"PeriodicalIF":1.5,"publicationDate":"2020-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47141085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-30DOI: 10.5121/ijcis.2020.10201
Santosh Mutnuru, S. Sah, S. Y. P. Kumar
Due to enormous increase in the usage of computers and mobiles, today’s world is currently flooded with huge volumes of data. This paper is primarily focused on multimedia data and how it can be protected from unwanted attacks. Sharing of multimedia data is easy and very efficient, it has been a customary practice to share multimedia data but there is no proper encryption technique to encrypt multimedia data. Sharing of multimedia data over unprotected networks using DCT algorithm and then applying selective encryption-based algorithm has never been adequately studied. This paper introduces a new selective encryption-based security system which will transfer data with protection even in unauthenticated network. Selective encryption-based security system will also minimize time during encryption process which there by achieves efficiency. The data in the image is transmitted over a network is discriminated using DCT transform and then it will be selectively encrypted using Number Puzzle technique, and thus provides security from unauthorized access. This paper discusses about numeric puzzle-based encryption technique and how it can achieve security and integrity for multimedia data over traditional encryption technique.
{"title":"Selective Encryption of Image by Number Maze Technique","authors":"Santosh Mutnuru, S. Sah, S. Y. P. Kumar","doi":"10.5121/ijcis.2020.10201","DOIUrl":"https://doi.org/10.5121/ijcis.2020.10201","url":null,"abstract":"Due to enormous increase in the usage of computers and mobiles, today’s world is currently flooded with huge volumes of data. This paper is primarily focused on multimedia data and how it can be protected from unwanted attacks. Sharing of multimedia data is easy and very efficient, it has been a customary practice to share multimedia data but there is no proper encryption technique to encrypt multimedia data. Sharing of multimedia data over unprotected networks using DCT algorithm and then applying selective encryption-based algorithm has never been adequately studied. This paper introduces a new selective encryption-based security system which will transfer data with protection even in unauthenticated network. Selective encryption-based security system will also minimize time during encryption process which there by achieves efficiency. The data in the image is transmitted over a network is discriminated using DCT transform and then it will be selectively encrypted using Number Puzzle technique, and thus provides security from unauthorized access. This paper discusses about numeric puzzle-based encryption technique and how it can achieve security and integrity for multimedia data over traditional encryption technique.","PeriodicalId":54966,"journal":{"name":"International Journal of Cooperative Information Systems","volume":"10 1","pages":"1-10"},"PeriodicalIF":1.5,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41414490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-30DOI: 10.5121/ijcis.2020.10202
Chuck Easttom, Anas Ibrahim, A. Chefranov, I. Alsmadi, Richard Hansen
NTRU is being considered as part of the NIST quantum resistant cryptography standard. While NIST has received substantial attention in the literature, more analysis is needed. This current study uses a unique approach. The team of researchers divided into -sub-teams. Each is using a separate analysis technique on NTRU. Then the diverse -sub-teams' work was brought together into a single cohesive statistical analysis to provide well-founded conclusions regarding NTRU.
{"title":"Towards A Deeper NTRU Analysis: A Multi Modal Analysis","authors":"Chuck Easttom, Anas Ibrahim, A. Chefranov, I. Alsmadi, Richard Hansen","doi":"10.5121/ijcis.2020.10202","DOIUrl":"https://doi.org/10.5121/ijcis.2020.10202","url":null,"abstract":"NTRU is being considered as part of the NIST quantum resistant cryptography standard. While NIST has received substantial attention in the literature, more analysis is needed. This current study uses a unique approach. The team of researchers divided into -sub-teams. Each is using a separate analysis technique on NTRU. Then the diverse -sub-teams' work was brought together into a single cohesive statistical analysis to provide well-founded conclusions regarding NTRU.","PeriodicalId":54966,"journal":{"name":"International Journal of Cooperative Information Systems","volume":"10 1","pages":"11-22"},"PeriodicalIF":1.5,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48394570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Distribution Management system (DMS) is an application that manages almost the entire processing of sales orders, purchases, inventory management and financial accounting. The DMS application is only intended for specific types of distribution businesses than other types of businesses, which are at least able to provide a much higher level of functionality, specifically for the needs of distribution companies. This research was conducted at PT. Succeed which is a food distribution company. The daily transaction processing system at this company uses DMS Nexsoft Distribution 6 (ND6). NexSoft Distribution 6 (ND6) is the main operating system for any trading business in carrying out daily activities. NexSoft distribution is produced by PT. Paramadaksa Teknologi Nusantara which is a company engaged in Information Technology (IT), which is headquartered in the Tangerang area.
分销管理系统(DMS)是一个管理几乎整个销售订单、采购、库存管理和财务会计处理的应用程序。DMS应用程序仅用于特定类型的分销业务，而不是其他类型的业务，这些业务至少能够提供更高级别的功能，特别是针对分销公司的需求。这项研究是在PT. Succeed进行的，这是一家食品分销公司。该公司的日常事务处理系统使用的是DMS Nexsoft Distribution 6 (ND6)。NexSoft Distribution 6 (ND6)是任何交易业务开展日常活动的主要操作系统。NexSoft的发行公司是总部位于坦格朗地区的信息技术(IT)企业PT. Paramadaksa Teknologi Nusantara。
{"title":"Transaction Processing System Analysis Using The Distribution Management System (DMS) Nexsoft Distribution 6 (ND6)","authors":"Sofia Agustin Nastura, Muqorobin Muqorobin","doi":"10.29040/IJCIS.V1I2.12","DOIUrl":"https://doi.org/10.29040/IJCIS.V1I2.12","url":null,"abstract":"Distribution Management system (DMS) is an application that manages almost the entire processing of sales orders, purchases, inventory management and financial accounting. The DMS application is only intended for specific types of distribution businesses than other types of businesses, which are at least able to provide a much higher level of functionality, specifically for the needs of distribution companies. This research was conducted at PT. Succeed which is a food distribution company. The daily transaction processing system at this company uses DMS Nexsoft Distribution 6 (ND6). NexSoft Distribution 6 (ND6) is the main operating system for any trading business in carrying out daily activities. NexSoft distribution is produced by PT. Paramadaksa Teknologi Nusantara which is a company engaged in Information Technology (IT), which is headquartered in the Tangerang area.","PeriodicalId":54966,"journal":{"name":"International Journal of Cooperative Information Systems","volume":"1 1","pages":"31-34"},"PeriodicalIF":1.5,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41541885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Consulting Engineering Services is a company engaged in building construction consulting services. In this company in processing employee salaries still use manual calculations and use the Ms. Excel program. This can lead to errors in calculating employee salaries and the process of printing employee salary slips which takes a long time. In solving this problem, the authors designed an employee payroll information system. In this design, the authors use the PHP programming language. The method in this research is the Waterfal Method. The method in this research is through observation, interview, documentation and literature study. The system design is made using Contex Diagram, HIPO, Input Output Design, relationships between tables and database design. The system is made in a program with the PHP programming language with a database format using MySQL. The result of this design is to produce an application program that will be used to process web-based employee salaries in CV. Consulting Engineering Services and it is hoped that companies will find it easier to input data and compile payroll reports to be faster and more efficient
{"title":"Employee Payroll Information System On Company Web-Based Consultant Engineering Services","authors":"I. Hikmah, Muqorobin Muqorobin","doi":"10.29040/IJCIS.V1I2.11","DOIUrl":"https://doi.org/10.29040/IJCIS.V1I2.11","url":null,"abstract":"Consulting Engineering Services is a company engaged in building construction consulting services. In this company in processing employee salaries still use manual calculations and use the Ms. Excel program. This can lead to errors in calculating employee salaries and the process of printing employee salary slips which takes a long time. In solving this problem, the authors designed an employee payroll information system. In this design, the authors use the PHP programming language. The method in this research is the Waterfal Method. The method in this research is through observation, interview, documentation and literature study. The system design is made using Contex Diagram, HIPO, Input Output Design, relationships between tables and database design. The system is made in a program with the PHP programming language with a database format using MySQL. The result of this design is to produce an application program that will be used to process web-based employee salaries in CV. Consulting Engineering Services and it is hoped that companies will find it easier to input data and compile payroll reports to be faster and more efficient","PeriodicalId":54966,"journal":{"name":"International Journal of Cooperative Information Systems","volume":"1 1","pages":"27-30"},"PeriodicalIF":1.5,"publicationDate":"2020-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45502411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Face recognition is an identification system that uses the characteristics of a person's face for processing. There is a feature in the face image so that it can be distinguished between one face and another face. One way to recognize face images is to analyze the texture of the face image. Texture analysis generally requires a feature extraction process. In different images, the characteristics will also differ. This characteristic will be the basis for the recognition of facial images. However, existing face recognition methods experience efficiency problems and rely heavily on the extraction of the right features. This study aims to study the texture characteristics of the extraction results using the Local Binary Pattern (LBP) method which is applied to deal with the introduction of Probabilistic Linear Discriminant Analysis (PLDA). The data used in this study are human face images from the AR Faces database, consisting of 136 objects (76 men and 60 women), each of which has 7 types of images Based on the results of testing shows the LBP method can produce the highest accuracy with a value of 95.53% in the introduction of PLDA. Keywords—Texture characteristic, Local Binary Pattern (LBP), Local Ternary Pattern (LTP), Probabilistic Linear Discriminant Analysis (PLDA)
{"title":"Texture Characteristic of Local Binary Pattern on Face Recognition with Probabilistic Linear Discriminant Analysis","authors":"I. Muslihah, Muqorobin Muqorobin","doi":"10.29040/IJCIS.V1I1.10","DOIUrl":"https://doi.org/10.29040/IJCIS.V1I1.10","url":null,"abstract":"Face recognition is an identification system that uses the characteristics of a person's face for processing. There is a feature in the face image so that it can be distinguished between one face and another face. One way to recognize face images is to analyze the texture of the face image. Texture analysis generally requires a feature extraction process. In different images, the characteristics will also differ. This characteristic will be the basis for the recognition of facial images. However, existing face recognition methods experience efficiency problems and rely heavily on the extraction of the right features. This study aims to study the texture characteristics of the extraction results using the Local Binary Pattern (LBP) method which is applied to deal with the introduction of Probabilistic Linear Discriminant Analysis (PLDA). The data used in this study are human face images from the AR Faces database, consisting of 136 objects (76 men and 60 women), each of which has 7 types of images Based on the results of testing shows the LBP method can produce the highest accuracy with a value of 95.53% in the introduction of PLDA. Keywords—Texture characteristic, Local Binary Pattern (LBP), Local Ternary Pattern (LTP), Probabilistic Linear Discriminant Analysis (PLDA)","PeriodicalId":54966,"journal":{"name":"International Journal of Cooperative Information Systems","volume":"1 1","pages":"22-26"},"PeriodicalIF":1.5,"publicationDate":"2020-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42248767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ihsan Cahyo Utomo, Siti Rokhmah, Muqorobin Muqorobin, I. Muslihah
Zakat is one of the pillars of Islam whose implementation is required for all Muslims whose wealth meets the Nisab. Nisab is a standard of property that must be Zakati. Because Zakat is the property of the people, the management must be properly channeled. Surakarta city is one of the major cities in Indonesia, there are several institutions of amil Zakat in the city of solo. However, there is no data on the distribution of Zakat in the integrated solo city, so that there are still many recipients of Zakat who receive alms from several amil Zakat. In this study, mapping of Zakat, Infaqand shadaqoh mapping was carried out with a Geographical Information System (GIS). This study aims to produce a deeper analysis of the socioeconomic life in the city of Surakarta as a basis for mapping the distribution of Zakat, Infaq, andShodaqoh. The method used to collect data with rapid appraisal. Where rapid appraisal is a method used to collect data based on socio-economic conditions in the environment, so as to produce a picture of mapping the distribution of Zakat, Infaq, andShodaqoh which is used as a reference for amil Zakat institutions in the Surakarta region to spread.
{"title":"Web Based Distribution of Zakat, Infaq, and shodaqoh (Case Study Of Surakarta City Region)","authors":"Ihsan Cahyo Utomo, Siti Rokhmah, Muqorobin Muqorobin, I. Muslihah","doi":"10.29040/IJCIS.V1I1.4","DOIUrl":"https://doi.org/10.29040/IJCIS.V1I1.4","url":null,"abstract":"Zakat is one of the pillars of Islam whose implementation is required for all Muslims whose wealth meets the Nisab. Nisab is a standard of property that must be Zakati. Because Zakat is the property of the people, the management must be properly channeled. Surakarta city is one of the major cities in Indonesia, there are several institutions of amil Zakat in the city of solo. However, there is no data on the distribution of Zakat in the integrated solo city, so that there are still many recipients of Zakat who receive alms from several amil Zakat. In this study, mapping of Zakat, Infaqand shadaqoh mapping was carried out with a Geographical Information System (GIS). This study aims to produce a deeper analysis of the socioeconomic life in the city of Surakarta as a basis for mapping the distribution of Zakat, Infaq, andShodaqoh. The method used to collect data with rapid appraisal. Where rapid appraisal is a method used to collect data based on socio-economic conditions in the environment, so as to produce a picture of mapping the distribution of Zakat, Infaq, andShodaqoh which is used as a reference for amil Zakat institutions in the Surakarta region to spread.","PeriodicalId":54966,"journal":{"name":"International Journal of Cooperative Information Systems","volume":"1 1","pages":"16-21"},"PeriodicalIF":1.5,"publicationDate":"2020-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47514818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muqorobin Muqorobin, Kusrini Kusrini, Siti Rokhmah, I. Muslihah
The Surakarta Al-Islam Vocational School is a private educational institution that requires all students to pay school tuition fees. Education is an obligation for all Indonesian citizens. The cost of education is one of the most important input components in implementing education. Because cost is the main requirement in achieving educational goals. SPP School is a routine school fee that is carried out every month. Based on last year's School Admin report, many students were late in paying school tuition fees, around 60%. This is a very big problem because the income of school funds comes from school tuition. The purpose of this research is that the researcher will build a prediction system using the best classification method, which is to compare the accuracy level of the Naïve Bayes method with the K-K-Nearest Neighbor method. Because both methods can make class classifications right or late, in paying school fees. processing using dapodic data for 2017/2018 as many as 236 data. In improving accuracy, the researcher also applies feature selection with Information Gain, which is useful for selecting optimal parameters. System testing is carried out using the Confusion Matrix method. The final results of this study indicate that the Naïve Bayes Method + Information Gain Method produces the highest accuracy, namely 95% compared to the Naïve Bayes method alone, namely 85% and the K-NN method, namely 81%.
苏拉卡塔伊斯兰职业学校是一所私立教育机构，要求所有学生支付学费。教育是所有印尼公民的义务。教育成本是实施教育最重要的投入要素之一。因为成本是实现教育目标的主要要求。SPP学校是一个常规的学校费用，每月进行一次。根据去年的学校管理报告，许多学生拖欠学费，约占60%。这是一个非常大的问题，因为学校资金的收入来自学校的学费。本研究的目的是研究人员将使用最好的分类方法构建一个预测系统，即比较Naïve贝叶斯方法与k - k -近邻方法的准确率水平。因为这两种方法都可以使班级分类正确或迟交学费。使用数据处理2017/2018年多达236个数据。在提高精度的同时，研究人员还采用了带有信息增益的特征选择，这有助于选择最优参数。采用混淆矩阵法对系统进行测试。本研究的最终结果表明，Naïve贝叶斯方法+信息增益方法的准确率最高，为95%，而单独使用Naïve贝叶斯方法的准确率为85%，K-NN方法的准确率为81%。
{"title":"Estimation System For Late Payment Of School Tuition Fees","authors":"Muqorobin Muqorobin, Kusrini Kusrini, Siti Rokhmah, I. Muslihah","doi":"10.29040/IJCIS.V1I1.5","DOIUrl":"https://doi.org/10.29040/IJCIS.V1I1.5","url":null,"abstract":"The Surakarta Al-Islam Vocational School is a private educational institution that requires all students to pay school tuition fees. Education is an obligation for all Indonesian citizens. The cost of education is one of the most important input components in implementing education. Because cost is the main requirement in achieving educational goals. SPP School is a routine school fee that is carried out every month. Based on last year's School Admin report, many students were late in paying school tuition fees, around 60%. This is a very big problem because the income of school funds comes from school tuition. The purpose of this research is that the researcher will build a prediction system using the best classification method, which is to compare the accuracy level of the Naïve Bayes method with the K-K-Nearest Neighbor method. Because both methods can make class classifications right or late, in paying school fees. processing using dapodic data for 2017/2018 as many as 236 data. In improving accuracy, the researcher also applies feature selection with Information Gain, which is useful for selecting optimal parameters. System testing is carried out using the Confusion Matrix method. The final results of this study indicate that the Naïve Bayes Method + Information Gain Method produces the highest accuracy, namely 95% compared to the Naïve Bayes method alone, namely 85% and the K-NN method, namely 81%.","PeriodicalId":54966,"journal":{"name":"International Journal of Cooperative Information Systems","volume":"1 1","pages":"1-6"},"PeriodicalIF":1.5,"publicationDate":"2020-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44950509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muqorobin Muqorobin, Siti Rokhmah, I. Muslihah, Nendy Akbar Rozaq Rais
The Surakarta Al-Islam Vocational School is a private educational institution that requires all students to pay school tuition fees. Education is an obligation for all Indonesian citizens. The cost of education is one of the most important input components in implementing education. Because cost is the main requirement in achieving educational goals. SPP School is a routine school fee that is carried out every month. Based on last year's School Admin report, many students were late in paying school tuition fees, around 60%. This is a very big problem because the income of school funds comes from school tuition. The purpose of this research is that the researcher will build a prediction system using the best classification method, which is to compare the accuracy level of the Naïve Bayes method with the K-K-Nearest Neighbor method. Because both methods can make class classifications right or late, in paying school fees. processing using dapodic data for 2017/2018 as many as 236 data. In improving accuracy, the researcher also applies feature selection with Information Gain, which is useful for selecting optimal parameters. System testing is carried out using the Confusion Matrix method. The final results of this study indicate that the Naïve Bayes Method + Information Gain Method produces the highest accuracy, namely 95% compared to the Naïve Bayes method alone, namely 85% and the K-NN method, namely 81%. Keywords— Big Data, Twitter, Naïve Bayes, Classification, Complaint.
{"title":"Classification of Community Complaints Against Public Services on Twitter","authors":"Muqorobin Muqorobin, Siti Rokhmah, I. Muslihah, Nendy Akbar Rozaq Rais","doi":"10.29040/IJCIS.V1I1.6","DOIUrl":"https://doi.org/10.29040/IJCIS.V1I1.6","url":null,"abstract":"The Surakarta Al-Islam Vocational School is a private educational institution that requires all students to pay school tuition fees. Education is an obligation for all Indonesian citizens. The cost of education is one of the most important input components in implementing education. Because cost is the main requirement in achieving educational goals. SPP School is a routine school fee that is carried out every month. Based on last year's School Admin report, many students were late in paying school tuition fees, around 60%. This is a very big problem because the income of school funds comes from school tuition. The purpose of this research is that the researcher will build a prediction system using the best classification method, which is to compare the accuracy level of the Naïve Bayes method with the K-K-Nearest Neighbor method. Because both methods can make class classifications right or late, in paying school fees. processing using dapodic data for 2017/2018 as many as 236 data. In improving accuracy, the researcher also applies feature selection with Information Gain, which is useful for selecting optimal parameters. System testing is carried out using the Confusion Matrix method. The final results of this study indicate that the Naïve Bayes Method + Information Gain Method produces the highest accuracy, namely 95% compared to the Naïve Bayes method alone, namely 85% and the K-NN method, namely 81%. Keywords— Big Data, Twitter, Naïve Bayes, Classification, Complaint.","PeriodicalId":54966,"journal":{"name":"International Journal of Cooperative Information Systems","volume":"1 1","pages":"7-10"},"PeriodicalIF":1.5,"publicationDate":"2020-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46107345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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