IJIIS: International Journal of Informatics and Information Systems最新文献_第7页

E-Government Asset Management Using the Extreme Programming 基于极限编程的电子政务资产管理

IJIIS: International Journal of Informatics and Information Systems Pub Date : 2019-03-01 DOI: 10.47738/ijiis.v2i1.1

T. Hariguna, Mirra Tsamara

{"title":"E-Government Asset Management Using the Extreme Programming","authors":"T. Hariguna, Mirra Tsamara","doi":"10.47738/ijiis.v2i1.1","DOIUrl":"https://doi.org/10.47738/ijiis.v2i1.1","url":null,"abstract":"Village Asset Management is a village property derived from the original property of the village, purchased or acquired for the expense of the village's income and expenditure budget (APBDes) or other legitimate acquisition of rights. In this study is the management of the village assets Kebumen Baturraden subdistrict and The problems acquired are the recording of village assets and the realization of the budget of the village assets that are still written so it takes A long time, Therefore the purpose in This research is to help and facilitate management performance in village Asset listing. Methods of collecting data using observations, interviews and Library studies. System development method using the Extreme programming method consisting of four phases of system development, namely planning, design, coding and test. The result of this research is a Village Asset Management E-Government using the Extreme Programming method of the Kebumen Village case study. The conclusion of this research is that it can simplify the management and realization of village assets budget due to the two interconnected reporting are reports of budget realization and village Asset report.","PeriodicalId":229613,"journal":{"name":"IJIIS: International Journal of Informatics and Information Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132423435","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: 2

Exploring The Relationships Among Social Benefits, Online Social Networks Dependency, Satisfaction and Youth's Habit Formation 社会利益、网络社交网络依赖、满意度与青少年习惯形成的关系探讨

IJIIS: International Journal of Informatics and Information Systems Pub Date : 2018-12-01 DOI: 10.47738/ijiis.v1i2.101

V. Tran

引用次数: 2

Exploring The Influences on Cyber Education in a Bilingual Higher Institution 浅谈双语高校网络教育的影响

IJIIS: International Journal of Informatics and Information Systems Pub Date : 2018-12-01 DOI: 10.47738/ijiis.v1i2.100

Simon C. Y. Wong

引用次数: 1

Implementation of Intelligent Green Energy Management System 智能绿色能源管理系统的实施

IJIIS: International Journal of Informatics and Information Systems Pub Date : 2018-12-01 DOI: 10.47738/ijiis.v1i2.102

Chao-Tung Yang

引用次数: 0

Pre-Trusted Peers Probability Influence on Eigen Trust and Reputation Model Over Peer to Peer Distributed Networks 预可信节点概率对点对点分布式网络特征信任和信誉模型的影响

IJIIS: International Journal of Informatics and Information Systems Pub Date : 2018-12-01 DOI: 10.47738/ijiis.v1i2.103

V. Verma

引用次数: 0

Effect of Selection of Classification Features C4.5 Algorithm in Student Alcohol Consumption Dataset C4.5算法在学生酒精消费数据集中分类特征选择的效果

IJIIS: International Journal of Informatics and Information Systems Pub Date : 2018-09-01 DOI: 10.47738/ijiis.v1i1.20

Tri Astuti, Pungky Dwi Putra Handoko

{"title":"Effect of Selection of Classification Features C4.5 Algorithm in Student Alcohol Consumption Dataset","authors":"Tri Astuti, Pungky Dwi Putra Handoko","doi":"10.47738/ijiis.v1i1.20","DOIUrl":"https://doi.org/10.47738/ijiis.v1i1.20","url":null,"abstract":"Alcoholic beverages are psychoactive substances that are addictive. Psychoactive substances are a class of substances that work selectively, especially in the brain, which can cause changes in behavior, emotion, cognition, perception and awareness of one's and others. Police survey results in 2014 showed that users of narcotics and liquor. Most of the group of students, both junior, and senior student, which amounts to 70%, while only 20% of primary school graduates. In the modern era, especially in information technology, the need for information and the latest knowledge is multiplying. One of them is the user information of alcohol among teenagers is more accurate. Data mining is the process for extracting and identifying information useful and relevant knowledge from a variety of big data. In the data mining, there is a classification technique that assesses the data objects to include it in a particular class of several classes available, can be applied in the case - the case in the health sector, for example, in the case of alcohol addiction in adolescents. The algorithm that can be used in the classification is the C4.5 decision tree. The use of the decision tree algorithm to determine the level of alcohol use in teenagers using two methods, namely, the selection of attributes and without attributes.","PeriodicalId":229613,"journal":{"name":"IJIIS: International Journal of Informatics and Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131051859","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: 1

Application of Data Mining Classification Method for Student Graduation Prediction Using K-Nearest Neighbor (K-NN) Algorithm 数据挖掘分类方法在k -最近邻(K-NN)算法学生毕业预测中的应用

IJIIS: International Journal of Informatics and Information Systems Pub Date : 2018-09-01 DOI: 10.47738/ijiis.v1i1.17

Mohammad Imron, Satia Angga Kusumah

引用次数: 8

Sales Transaction Data Analysis using Apriori Algorithm to Determine the Layout of the Goods 用Apriori算法分析销售交易数据，确定商品布局

IJIIS: International Journal of Informatics and Information Systems Pub Date : 2018-09-01 DOI: 10.47738/ijiis.v1i1.19

T. Hariguna, U. Hasanah, Nindi Nofi Susanti

{"title":"Sales Transaction Data Analysis using Apriori Algorithm to Determine the Layout of the Goods","authors":"T. Hariguna, U. Hasanah, Nindi Nofi Susanti","doi":"10.47738/ijiis.v1i1.19","DOIUrl":"https://doi.org/10.47738/ijiis.v1i1.19","url":null,"abstract":"In a shop, usually apply a sales strategy in order. The sales strategy can be in the form of determining the layout of goods so that they are close to one another. Determining the layout of items can be based on items that are often purchased simultaneously. Searching for items that are often purchased together can be done using data mining techniques, which is processing data to become more useful information. Sales transaction data processing can be done using apriori algorithm. Apriori algorithm is the most famous algorithm for finding high-frequency patterns and generating association rules. From the results of the discussion and data analysis, there were 3 (three) association rules formed, namely \"If you buy Milo Active 18 grm, then buy ABC Kopi Susu 31G\" with support 0.36% and 75% confidence, \"If you buy Dancow 1 + Honey 200 grm, then buy Ice Cream Corneto\" wit H Support 0.36% and confidence 60%, \"If you buy SIIP Roasted 6.5 grm, then buy Davos Strong 10 grm\" with support 0.36% and 75% confidence. From the association's rules can be used as decision making to determine the layout of goods that are likely to be purchased simultaneously by the buyer","PeriodicalId":229613,"journal":{"name":"IJIIS: International Journal of Informatics and Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123174051","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: 3

Expert System for Diagnosing Early Childhood Developmental Disorders with Certainty Factor Method 确定因子法诊断幼儿发育障碍专家系统

IJIIS: International Journal of Informatics and Information Systems Pub Date : 2018-09-01 DOI: 10.47738/ijiis.v1i1.18

Nandang Hermanto, Zulfiqar Shertian Ramadhan

引用次数: 1

Effects of Player's Participation Patterns on Economic Performance of Entertainment Shopping Website 玩家参与模式对娱乐购物网站经济绩效的影响

IJIIS: International Journal of Informatics and Information Systems Pub Date : 2016-07-01 DOI: 10.47738/ijiis.v2i1.87

Jin Li, Kwok Fai Geoffrey Tso

{"title":"Effects of Player's Participation Patterns on Economic Performance of Entertainment Shopping Website","authors":"Jin Li, Kwok Fai Geoffrey Tso","doi":"10.47738/ijiis.v2i1.87","DOIUrl":"https://doi.org/10.47738/ijiis.v2i1.87","url":null,"abstract":"Online pay-per-bid auction is a new entertainment shoppingformat with a mechanism that integrates the characteristics of traditional e-commerce, online auctions, lotteries and games. Previous researches have shown this auction format possesses high variances and uncertainties. However, research on the players' participation patterns and performance is rare. In this study, we attempt to study how players' participation patterns can affect both their own and websites' performance. An empirical study with data collected from an online pay-per-development website with 5,650players' participation behavior is performed. Particularly, the role of players preference is also explored through a cluster analysis of their historical participations. Multiple linear regression models and regression models with beta distributions are used for hypothesis testing. Findings confirm that players participation performance and websites revenue strongly associated with the players participation patterns. The results show that (1) players with longer lifetime perform better and contribute more revenue to the website; (2) players participating in more auctions show worse performance and websites obtain more revenue from them; and (3) players with a strong preference behave more irrationally and website benefits more from them. Both theoretical and managerial implications are discussed.","PeriodicalId":229613,"journal":{"name":"IJIIS: International Journal of Informatics and Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116795170","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