International Journal of Cooperative Information Systems最新文献_第8页

Ethnic (pay) disparities in public sector leadership in Aotearoa New Zealand 新西兰奥特罗阿州公共部门领导的种族(薪酬)差异

IF 1.5 4区计算机科学

International Journal of Cooperative Information Systems Pub Date : 2020-08-21 DOI: 10.5204/ijcis.v13i1.1331

H. Came, Emmanuel Badu, Julia Ioane, L. Manson, T. McCreanor

引用次数: 4

Model of Engaging Communities Collaboratively 社区协作模式

IF 1.5 4区计算机科学

International Journal of Cooperative Information Systems Pub Date : 2020-08-18 DOI: 10.5204/ijcis.v13i1.1346

Cari D. McIlduff, Michell Forster, Emily Carter, Jadnah Davies, Sue A. Thomas, K. Turner, C. Wilson, M. Sanders

引用次数: 8

Selective Encryption of Image by Number Maze Technique 基于数字迷宫技术的图像选择性加密

IF 1.5 4区计算机科学

International Journal of Cooperative Information Systems Pub Date : 2020-06-30 DOI: 10.5121/ijcis.2020.10201

Santosh Mutnuru, S. Sah, S. Y. P. Kumar

{"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":null,"pages":null},"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}

引用次数: 3

Towards A Deeper NTRU Analysis: A Multi Modal Analysis 迈向更深入的NTRU分析:多模态分析

IF 1.5 4区计算机科学

International Journal of Cooperative Information Systems Pub Date : 2020-06-30 DOI: 10.5121/ijcis.2020.10202

Chuck Easttom, Anas Ibrahim, A. Chefranov, I. Alsmadi, Richard Hansen

引用次数: 3

Transaction Processing System Analysis Using The Distribution Management System (DMS) Nexsoft Distribution 6 (ND6) 使用分销管理系统Nexsoft Distribution 6（ND6）的交易处理系统分析

IF 1.5 4区计算机科学

International Journal of Cooperative Information Systems Pub Date : 2020-06-15 DOI: 10.29040/IJCIS.V1I2.12

Sofia Agustin Nastura, Muqorobin Muqorobin

引用次数: 10

Employee Payroll Information System On Company Web-Based Consultant Engineering Services 基于Web的企业员工薪酬信息系统咨询工程服务

IF 1.5 4区计算机科学

International Journal of Cooperative Information Systems Pub Date : 2020-06-10 DOI: 10.29040/IJCIS.V1I2.11

I. Hikmah, Muqorobin Muqorobin

{"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":null,"pages":null},"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}

引用次数: 14

Texture Characteristic of Local Binary Pattern on Face Recognition with Probabilistic Linear Discriminant Analysis 基于概率线性判别分析的局部二值模式纹理特征人脸识别

IF 1.5 4区计算机科学

International Journal of Cooperative Information Systems Pub Date : 2020-05-25 DOI: 10.29040/IJCIS.V1I1.10

I. Muslihah, Muqorobin Muqorobin

{"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":null,"pages":null},"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}

引用次数: 15

Web Based Distribution of Zakat, Infaq, and shodaqoh (Case Study Of Surakarta City Region) Zakat、Infaq和shodachoh基于Web的分布（以苏拉卡塔市地区为例）

IF 1.5 4区计算机科学

International Journal of Cooperative Information Systems Pub Date : 2020-05-19 DOI: 10.29040/IJCIS.V1I1.4

Ihsan Cahyo Utomo, Siti Rokhmah, Muqorobin Muqorobin, I. Muslihah

{"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":null,"pages":null},"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}

引用次数: 19

Estimation System For Late Payment Of School Tuition Fees 拖欠学费评估制度

IF 1.5 4区计算机科学

International Journal of Cooperative Information Systems Pub Date : 2020-05-18 DOI: 10.29040/IJCIS.V1I1.5

Muqorobin Muqorobin, Kusrini Kusrini, Siti Rokhmah, I. Muslihah

{"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":null,"pages":null},"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}

引用次数: 13

Classification of Community Complaints Against Public Services on Twitter Twitter上社区对公共服务的投诉分类

IF 1.5 4区计算机科学

International Journal of Cooperative Information Systems Pub Date : 2020-05-18 DOI: 10.29040/IJCIS.V1I1.6

Muqorobin Muqorobin, Siti Rokhmah, I. Muslihah, Nendy Akbar Rozaq Rais

{"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":null,"pages":null},"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}

引用次数: 21