2016 International Conference on Information & Communication Technology and Systems (ICTS)最新文献_第2页

Sales forecasting using Holt-Winters in Enterprise Resource Planning at sales and distribution module 在销售和分销模块的企业资源规划中使用Holt-Winters进行销售预测

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910264

Vicky Chrystian Sugiarto, R. Sarno, Dwi Sunaryono

{"title":"Sales forecasting using Holt-Winters in Enterprise Resource Planning at sales and distribution module","authors":"Vicky Chrystian Sugiarto, R. Sarno, Dwi Sunaryono","doi":"10.1109/ICTS.2016.7910264","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910264","url":null,"abstract":"Enterprise Resource Planning is a system used for managing all of the resources owned by the company, business activities, and information used to make a good business process. One of the modules in the ERP is sales and distribution. Sales and distribution is a module that handles the sale and delivery goods to customers to achieve their business objective. The use sales and distribution module is intended to simplify the process of selling to customers in accordance with the interests of customers for goods and services, makes it easy to check the sale of goods and delivery of goods, and facilitate the collection of customers who make a purchase of goods or services provided by the company, determines the appropriate services to customers, and forecast the amount of demand for goods desired by the customer. Sales forecasting is calculating the expected sales of a specific product and predicting future sales of the product. It helps in making informed business decisions. In this article some several of sales forecasting methods used, Holt-Winters Additive Method, and Holt-Winters Multiplicative Method applied in ERP. The implementation of sales forecasting using Holt-Winters method in the ERP can make the system more accurate and efficient in the determination of the amount of goods demanded by customers.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126575991","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: 17

Opinion classification using Maximum Entropy and K-Means Clustering 基于最大熵和k均值聚类的意见分类

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910292

A. Hamzah, Naniek Widyastuti

引用次数: 8

Generalized Regression Neural Network for predicting traffic flow 广义回归神经网络预测交通流

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910298

J. L. Buliali, Victor Hariadi, Ahmad Saikhu, Saprina Mamase

引用次数: 9

Adaptive image compression using Adaptive Huffman and LZW 使用自适应霍夫曼和LZW的自适应图像压缩

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910281

Djuned Fernando Djusdek, H. Studiawan, T. Ahmad

引用次数: 8

Student perceptions of virtual programming lab on e-learning class at University of Sam Ratulangi 萨姆拉图兰吉大学电子学习课堂上学生对虚拟编程实验室的看法

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910306

Sumenge Tangkawarouw Godion Kaunang, S. Paturusi, T. Usagawa, G. Mangindaan, A. Sambul, Brave A. Sugiarso

引用次数: 5

Digital forensic analysis of Telegram Messenger on Android devices Android设备上Telegram Messenger的数字取证分析

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910263

G. B. Satrya, P. T. Daely, Muhammad Arif Nugroho

引用次数: 28

The electric wheelchair control using electromyography sensor of arm muscle 利用手臂肌肉肌电传感器控制电动轮椅

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910286

Rudi Hardiansyah, Arista Ainurrohmah, Yunafi'atul Aniroh, F. H. Tyas

引用次数: 13

Enriching English into Sundanese and Javanese translation list using pivot language 使用支点语言将英语丰富为巽他语和爪哇语翻译列表

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910293

Arie A. Suryani, Isye Arieshanti, B. W. Yohanes, M. Subair, S. D. Budiwati, B. S. Rintyarna

引用次数: 11

Application development for recognizing type of infant's cry sound 婴儿哭声类型识别的应用开发

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910291

Welly Setiawan Limantoro, C. Fatichah, Umi Laili Yuhana

{"title":"Application development for recognizing type of infant's cry sound","authors":"Welly Setiawan Limantoro, C. Fatichah, Umi Laili Yuhana","doi":"10.1109/ICTS.2016.7910291","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910291","url":null,"abstract":"Crying infant is a sign of baby who has a problem. But, some people are not able to recognize the meaning of infant's cry. Several researches to recognize infant's cry sound had been done by some researchers, but there is still no research that develop an application which able to recognize type of infant's cry sound based on web. In this research, an application is developed to help users identify the sound of crying infant based on Dunstan Baby Language. The method applied in this application are Mel-Frequency Cepstral Coefficient (MFCC) feature extraction for infant's cry sound, normalization of feature extraction result, and K-nearest neighbor classification. From the various tests performed, it can be concluded that highest average accuracy of 75.95 percent can be obtained by using parameters consist of 0.08 seconds wintime in MFCC feature extraction, 85 percent of training data and 15 percent of test data from any type of infant's cry sound, feature extraction normalization by Standard Deviation Normalization, and K-nearest Neighbor with k equal to 1 classification. While testing application by using all data, average accuracy of 96.57 percent can be obtained by using parameters consist of 0.08 seconds wintime in MFCC feature extraction, 85 percent of training data from any type of infant's cry sound, feature extraction normalization by Standard Deviation Normalization, and K-nearest Neighbor k equal to 1 classification. From that test, it can be concluded that the application has been running well when classifying all types of infant's cry sound data.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127786736","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: 5

Computer-aided screening for Acute Leukemia blood infection using gray-level intensity 灰色强度对急性白血病血液感染的计算机辅助筛查

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910275

Hatungimana Gervais, Daris Herumurti

{"title":"Computer-aided screening for Acute Leukemia blood infection using gray-level intensity","authors":"Hatungimana Gervais, Daris Herumurti","doi":"10.1109/ICTS.2016.7910275","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910275","url":null,"abstract":"Screening for Acute Leukemia is critical task just like other health diagnosis. Some computerized methods which do not need domain experts' involvement in decision making have been proposed. These methods main challenge lays in the image processing part of system design to isolate the lymphocyte from other blood cells while taking care of various morphological shapes of the lymphocytes. In this paper we propose a method to segment the lymphocyte from other white blood cells; the proposed method can take care of various shapes of lymphocytes. We use the segmented lymphocyte to extracted gray intensity features for building a classifier. The proposed method takes microscopic image as input data for processing and outputs diagnosis results saying that the patient's blood image was saint or has leukemia. The contribution brought by our proposed method is the ability to segment lymphocyte image from noisy image while maintaining both nucleoli and cytoplasm parts intact for the classification to be possible using only gray-scale intensity distribution. The experimentation resulted in 93.7% correctly classified, mean error 0.08, false positive 0.07 using Decision tree with cross-validation folds 10.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127624776","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