Journal of Intelligent Software Systems最新文献_第3页

Data Warehouse to Support the Decision Using Vikor Method 基于Vikor方法的数据仓库支持决策

Journal of Intelligent Software Systems Pub Date : 2022-12-31 DOI: 10.26798/jiss.v1i2.767

Heri Muhrial, Bambang Purnomosidi.D.P, W. Andriyani, Hamdani Hamdani

引用次数: 0

Application of Photo-Realism in Making Gamelan Kenong 3D Objects in Gamelan VR 照片真实感在佳美兰柯农3D物体制作中的应用

Journal of Intelligent Software Systems Pub Date : 2022-12-31 DOI: 10.26798/jiss.v1i2.758

Stevanus Tetuko Kristianto, C. H. Primasari, Thomas Adi Purnomo Sidhi, Y. Wibisono, D. Setyohadi

{"title":"Application of Photo-Realism in Making Gamelan Kenong 3D Objects in Gamelan VR","authors":"Stevanus Tetuko Kristianto, C. H. Primasari, Thomas Adi Purnomo Sidhi, Y. Wibisono, D. Setyohadi","doi":"10.26798/jiss.v1i2.758","DOIUrl":"https://doi.org/10.26798/jiss.v1i2.758","url":null,"abstract":"In creating a simulated world, it is very necessary that the environment, objects, and experiences be similar to the original conditions in the real world. Simulation can be carried out using virtual reality technology, in which environments and objects can be created as desired. The creation of these three-dimensional objects can be achieved by taking into account the 10 principles of photorealism to get realistic objects like those in the real world. In this research, objects from the Kenong gamelan will be created using the principles or characteristics of photorealism. In this study, an assessment of three-dimensional objects was made by distributing questionnaires in which the selected respondents gave a value of 1–5 for each photorealism characteristic of each object. From the results of the assessment carried out, it was found that the 3D objects that were previously made received a value above the average, which means that they meet the characteristics of photorealism. Data was also obtained indicating that realistic 3D objects are required in a simulation in order for the simulation to be felt more strongly or for the user to feel the feeling as closely as possible when playing gamelan. From the results that have been obtained, it is recommended to follow the principle of photorealism when creating 3D objects for simulation needs.","PeriodicalId":156799,"journal":{"name":"Journal of Intelligent Software Systems","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129111943","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

Price Intelligence Using K-Means Clustering and Linear Regression, Case Study of Store Dk Nutritionindo at Tokopedia 基于k均值聚类和线性回归的价格智能，Store Dk Nutritionindo在Tokopedia的案例研究

Journal of Intelligent Software Systems Pub Date : 2022-07-21 DOI: 10.26798/jiss.v1i1.602

Arma Fauzi, B. Dp, Faizal Makhrus, W. Andriyani

{"title":"Price Intelligence Using K-Means Clustering and Linear Regression, Case Study of Store Dk Nutritionindo at Tokopedia","authors":"Arma Fauzi, B. Dp, Faizal Makhrus, W. Andriyani","doi":"10.26798/jiss.v1i1.602","DOIUrl":"https://doi.org/10.26798/jiss.v1i1.602","url":null,"abstract":"The ability to find the right price recommendation will determine the fate of product sales in the market. This is necessary to prevent whey concentrate products from being sold in the market and to avoid customers fleeing or switching to other competitors. This study uses a price intelligence approach using the k-means clustering method for price grouping based on the closest competitor and demand forecasting using linear regression to determine fair and competitive prices. The results of the k-means clustering price of 145000 from dk nutritionindo are included in C4. The closest competitor has 7 prices cheaper and 5 prices more expensive. The highest price is 495000 and the lowest price is 90000. The results of the 26th month to 33rd month demand forecasting have 2 graphs up and 6 graphs down. Forecasting confusion matrix test produces 62.5% accuracy, 75% precision, 60% recall. With MAPE = 28.95% according to Lewis (1982) then the influence of forecasting is declared feasible (good enough). Because the trend chart illustrates a decline, it is recommended that the shop lowers the price with a recommended price range from 135000 to 90000.","PeriodicalId":156799,"journal":{"name":"Journal of Intelligent Software Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126863478","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

Determining the Target of Independent Graduation for Beneficiary Families of the Hopeful Family Program 希望家庭计划受益户独立毕业目标的确定

Journal of Intelligent Software Systems Pub Date : 2022-07-21 DOI: 10.26798/jiss.v1i1.601

Andre Argisitawan, W. Andriyani, B. Dp, Dommy Kristomo

引用次数: 0

Analysis of Determining the Types of Wireless BTS Devices Using the Dude Implementation and Telegram Notifications on Internet Services Provider XYZ 在互联网服务提供商XYZ上使用Dude实现和电报通知确定无线BTS设备类型的分析

Journal of Intelligent Software Systems Pub Date : 2022-07-21 DOI: 10.26798/jiss.v1i1.603

Robertus Saptoto, B. Dp, W. Andriyani, Rikie Kartadie

{"title":"Analysis of Determining the Types of Wireless BTS Devices Using the Dude Implementation and Telegram Notifications on Internet Services Provider XYZ","authors":"Robertus Saptoto, B. Dp, W. Andriyani, Rikie Kartadie","doi":"10.26798/jiss.v1i1.603","DOIUrl":"https://doi.org/10.26798/jiss.v1i1.603","url":null,"abstract":"ISP XYZ is a company engaged in the field of Internet Service Providers (ISP). Network monitoring is something that an ISP must have in monitoring network router traffic, wireless Base Transceiver Station (BTS) traffic and wireless client traffic. Connections between BTS backbone and BTS use wireless devices. Because currently the main network (backbone) inter BTS to BTS uses wireless devices, sometimes disturbances occur such as frequency interference and high data loads on BTS which lead data distribution to customers disrupted. The factors that affect this incident are the number of similar frequency number usage, the distance between BTS to BTS, the type of wireless device that can no longer carry large data loads as its main source. Telegram makes it possible to send and receive text messages over the internet. In addition, the function of telegram is usable. This research will be used to determine policies for updating wireless devices, especially on the BTS to BTS backbone. Chat, video calls, shared photos and files, telegram supports bots. This bot will later be used to mechanize notifications from the dude application to telegram messages, which of course are connected to the internet. You can provide reports on the use of data traffic, wireless device data resources that are currently implemented.","PeriodicalId":156799,"journal":{"name":"Journal of Intelligent Software Systems","volume":"32 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116499847","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

The Prediction on the Students’ Graduation Timeliness Using Naive Bayes Classification and K-Nearest Neighbor 基于朴素贝叶斯分类和k近邻的学生毕业时效性预测

Journal of Intelligent Software Systems Pub Date : 2022-07-21 DOI: 10.26798/jiss.v1i1.597

Anwarudin Anwarudin, W. Andriyani, B. Dp, Dommy Kristomo

{"title":"The Prediction on the Students’ Graduation Timeliness Using Naive Bayes Classification and K-Nearest Neighbor","authors":"Anwarudin Anwarudin, W. Andriyani, B. Dp, Dommy Kristomo","doi":"10.26798/jiss.v1i1.597","DOIUrl":"https://doi.org/10.26798/jiss.v1i1.597","url":null,"abstract":"The college quality can be seen from the level of punctuality of student graduation. The Prediction on students’ graduation timelines can be used as one of the supporting decisions to evaluate students’ performance. Currently, the Medical Laboratory Technology study program of STIKES Guna Bangsa Yogyakarta does not have tools to predict the level of students’ graduation punctuality early yet. The purpose of this study is to evaluate the application of the Naive Bayes Classification and K-Nearest Neighbor algorithms with predictive modeling of student graduation period. This study applied the academic data from students of the Medical Laboratory Technology study program for the Academic Year (TA) 2015/2016 to 2018/2019. This study utilized an experimental approach by comparing the methods of the Naive Bayes Classification (NBC) and K-Nearest Neighbor (KNN) algorithms. The validation model uses 5-fold Cross Validation, while the evaluation model uses a Confusion Matrix. The results illustrated that the prediction with NBC in this case obtained an accuracy of 96.11%, precision of 82.11% and Recall of 100.00%. Meanwhile, predictions using KNN obtained accuracy of 97.68%, precision of 100.00% and Recall of 86.11%. Thus, KNN is an algorithm with an enhanced level of accuracy to solve the case of predicting the timeliness of students’ graduation of the Medical Laboratory Technology Study Program STIKES Guna Bangsa Yogyakarta","PeriodicalId":156799,"journal":{"name":"Journal of Intelligent Software Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124186661","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

Building a Knowledge Graph on Video Transcript Text Data 基于视频文本数据的知识图谱构建

Journal of Intelligent Software Systems Pub Date : 2022-07-21 DOI: 10.26798/jiss.v1i1.585

Bagas Triaji, W. Andriyani, B. Dp, Faizal Makhrus

引用次数: 0