Journal of Computer Science and Technology Studies最新文献_第4页

The Use of Simple Neural Algorithm in Classifying Single Toraja Coffee Beans 简单神经算法在托拉贾咖啡豆分类中的应用

Journal of Computer Science and Technology Studies Pub Date : 2022-12-20 DOI: 10.32996/jcsts.2022.4.2.21

Martina Pineng, Willy Yafet Tandirerung

引用次数: 0

Candlestick Pattern Research Analysis, Future and Beyond: A Systematic Literature Review Using PRISMA 烛台模式研究分析，未来与未来:基于PRISMA的系统文献综述

Journal of Computer Science and Technology Studies Pub Date : 2022-12-11 DOI: 10.32996/jcsts.2022.4.2.19

S. Wicaksono, R. Setiawan, Purnomo

{"title":"Candlestick Pattern Research Analysis, Future and Beyond: A Systematic Literature Review Using PRISMA","authors":"S. Wicaksono, R. Setiawan, Purnomo","doi":"10.32996/jcsts.2022.4.2.19","DOIUrl":"https://doi.org/10.32996/jcsts.2022.4.2.19","url":null,"abstract":"Online stock market circumstances allow traders to examine in real time or periodically with free or paid criteria and indicators. Candlestick charts and historical data help traders predict stock values. These forecasting methods rely on traders' experience. Such unscientific judgements lack empirical facts and mathematically established theories, which are rarely published in recognized scientific journals. Initial research revealed a gap between candlestick research and practice, creating a novel idea without scientific backing. Given the different study possibilities, the literature review must address the following questions: what's the trend in candlestick indicator research over the past five years, and what's ahead for candlestick stock price predictions? This study used PRISMA to conduct its literature review. Ten articles were duplicated in three indexes. Last, the article content is compared to the research questions. Only 20 Scopus (S) papers have more than 10 citations, and 2 don't have full paper access, so only 11 match the conditions. 100 publications were obtained from Google Scholar (GS), then re-filtered to obtain 19 with more than 10 citations and 6 without full paper access, for a total of 11 articles. 100 articles from Semantic Scholar (SS) met the first requirements. Duplicate articles in each database were rechecked to produce 24 valid articles for future research. Economic and IT publications employ candlestick patterns in the study. SLR screening and literature research yielded expert systems, historical research, ichimoku, local studies, and technological analysis. Expert system group dominates research, but no technique dominates implementation. Future research can be new. Candlestick patterns have only been tested on local stock markets in one country; therefore, economic crises, commercial acts, or conflicts may lead the method to fail.","PeriodicalId":417206,"journal":{"name":"Journal of Computer Science and Technology Studies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129513973","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

Multi-scale Analysis and Synergistic Scenario Simulation of Pollution and Carbon Reduction Efficiency in Guangdong-Hong Kong-Macao Greater Bay Area 粤港澳大湾区污染减排效率多尺度分析及协同情景模拟

Journal of Computer Science and Technology Studies Pub Date : 2022-12-03 DOI: 10.32996/jcsts.2022.4.2.17

Zhengyong Chen, Zhanjie Wen

{"title":"Multi-scale Analysis and Synergistic Scenario Simulation of Pollution and Carbon Reduction Efficiency in Guangdong-Hong Kong-Macao Greater Bay Area","authors":"Zhengyong Chen, Zhanjie Wen","doi":"10.32996/jcsts.2022.4.2.17","DOIUrl":"https://doi.org/10.32996/jcsts.2022.4.2.17","url":null,"abstract":"In the context of China’s “double carbon” goal, pollution and carbon reduction is a consensus. As a demonstration area and model area for China’s development, how to take the lead in realizing the synergistic improvement of pollution and carbon reduction and embark on a green and low-carbon development path with Chinese characteristics is a common concern of the scientific community and the public. However, each city in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) is different regarding resource endowment, energy structure, development conditions, and technical level. The efficiency, ability, and potential of pollution and carbon reduction must differ. The mission objectives, methods, and methods of promoting the “double carbon” work are also different. Only by considering it from the perspective of system collaboration can the “double carbon” work be safe and sustainable. The study proposes that we can, from the dynamic perspective of the production network and industrial transfer, integrate multi-source and multi-mode data and use a multi-scale evaluation method to analyze the multi-dimensional features and driving factors of the interaction effect of pollution and carbon reduction in GBA. The research results can help cities in GBA to understand their weak links in pollution and carbon reduction in a timely, comprehensive, and accurate manner. In addition, this study is conducive to providing decision-making reference for China to formulate regional synergistic effects.","PeriodicalId":417206,"journal":{"name":"Journal of Computer Science and Technology Studies","volume":"527 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127631462","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

Auto-response Email based on User Habits with Privacy Model Approach and Cloud Adoption 基于用户习惯的自动回复电子邮件与隐私模型方法和云采用

Journal of Computer Science and Technology Studies Pub Date : 2022-12-01 DOI: 10.32996/jcsts.2022.4.2.15

Gabriella Vindy Kawuri, R. Ferdiana, L. Nugroho

引用次数: 0

Household Electricity Utilization Monitoring System Using Microcontroller Based SCADA 基于单片机的家庭用电监测系统

Journal of Computer Science and Technology Studies Pub Date : 2022-12-01 DOI: 10.32996/jcsts.2022.4.2.16

I. Budarsa, I. W. Ardana, Luh Gede Putri Suardani, I. P. Muliana

引用次数: 0

Self-Service Technology: Benefits and Challenges 自助服务技术:好处与挑战

Journal of Computer Science and Technology Studies Pub Date : 2022-11-30 DOI: 10.32996/jcsts.2022.4.2.14

C. Chan, Douglas Petrikat

引用次数: 2

Linear Classifiers for Context-aware Place Suggestions Implemented on Google Map 在谷歌地图上实现的上下文感知地点建议的线性分类器

Journal of Computer Science and Technology Studies Pub Date : 2022-10-28 DOI: 10.32996/jcsts.2022.4.2.12

Athitaya Nitchot

引用次数: 0

Short and Open Circuit Fault Detection in On-Grid Photovoltaic Systems 1MWP Bangli Based on Current and Voltage Observation 基于电流和电压观测的并网光伏系统短开路故障检测

Journal of Computer Science and Technology Studies Pub Date : 2022-10-28 DOI: 10.32996/jcsts.2022.4.2.13

Sugirianta Ibk, IGNA Dwijaya_S, M Purbhawa, GK Sri Budarsa, Ketut Ta

{"title":"Short and Open Circuit Fault Detection in On-Grid Photovoltaic Systems 1MWP Bangli Based on Current and Voltage Observation","authors":"Sugirianta Ibk, IGNA Dwijaya_S, M Purbhawa, GK Sri Budarsa, Ketut Ta","doi":"10.32996/jcsts.2022.4.2.13","DOIUrl":"https://doi.org/10.32996/jcsts.2022.4.2.13","url":null,"abstract":"Photovoltaic (PV) systems as clean and green electrical energy generators have increased sharply in the last 10 years. The installation of a PV system in an open area is one of the causes of frequent faults/damage to the PV system. Fault in the PV system causes a decrease in efficiency, weak reliability, and disruption of the continuity of the electrical power distribution, which in turn causes the low performance of the system. This research does on the on-grid PV system 1MWp Bangli which consists of 278 PV arrays and 5004 monocrystalline solar modules 200Wp, which started operation in 2013. This research aims to find open circuit and short circuit faults that occur in the PV system Bangli. The method used in this research is the current and voltage observation method. Current and output voltage measurements from the PV array are carried out as well as measurements of working module temperature and solar irradiance. To calculate the output PV array's current (RI) and voltage (RV) indicators; Calculation of the current (RIM) and voltage (RVM) indicators under fault-free conditions, and the short circuit (TIO) and open voltage (TVS) threshold are calculated. As a result, this study succeeded in determining short and open circuit faults that occur in PV systems on grid 1MWp Bangli.","PeriodicalId":417206,"journal":{"name":"Journal of Computer Science and Technology Studies","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133949283","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

Stock Price Prediction through STL Decomposition using Multivariate Two-way Long Short-term Memory 基于多元双向长短期记忆的STL分解股票价格预测

Journal of Computer Science and Technology Studies Pub Date : 2022-10-09 DOI: 10.32996/jcsts.2022.4.2.11

J. Senoguchi

{"title":"Stock Price Prediction through STL Decomposition using Multivariate Two-way Long Short-term Memory","authors":"J. Senoguchi","doi":"10.32996/jcsts.2022.4.2.11","DOIUrl":"https://doi.org/10.32996/jcsts.2022.4.2.11","url":null,"abstract":"With advancements in machine-learning techniques, stock-price movements can ostensibly be forecasted using time-series data. In this study, several different types of long short-term memory (LSTM) are used to predict the closing prices of Japanese stocks five days into the future. Also, in this study, four different features [i.e., simple moving average (SMA), linear weighted moving average (WMA), exponential WMA (EMA), and the Savitzky–Golay (SG) metric] are generated from daily stock-price data and split into two components (i.e., trend and seasonal) by applying seasonal–trend decomposition using Loess (STL) decomposition. The prediction results are evaluated in terms of return, root-mean-square error (RMSE), mean absolute error (MAE), and other relevant measures of accuracy and relevancy. As a result, the multivariate two-way LSTM model yielded the highest overall performance. With respect to the RMSE and MAE of the training data, the multivariate two-way LSTM was not superior to the other models. However, with respect to RMSE and MAE on the validation data, it was the best. Also, the multivariate two-way LSTM model yielded the highest overall performance in terms of the accuracy of the direction of stock prices.","PeriodicalId":417206,"journal":{"name":"Journal of Computer Science and Technology Studies","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134425116","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

Comparison of MARCOS and TOPSIS Methods in Determining Bali Tour Packages MARCOS法与TOPSIS法在确定巴厘岛旅游套餐中的比较

Journal of Computer Science and Technology Studies Pub Date : 2022-09-30 DOI: 10.32996/jcsts.2022.4.2.10

N. Sarja, Made Riyan Adi Nugroho, I. Sadguna, I. N. Meirejeki, Kadek Nita Sumiari, Ni Ketut Pradani Gayatri Sarja

{"title":"Comparison of MARCOS and TOPSIS Methods in Determining Bali Tour Packages","authors":"N. Sarja, Made Riyan Adi Nugroho, I. Sadguna, I. N. Meirejeki, Kadek Nita Sumiari, Ni Ketut Pradani Gayatri Sarja","doi":"10.32996/jcsts.2022.4.2.10","DOIUrl":"https://doi.org/10.32996/jcsts.2022.4.2.10","url":null,"abstract":"Tour packages, or what can be called package tours or inclusive tours, are forms of travel that have one or more destinations and are supported by various travel facilities. Tour packages can usually be purchased through travel agents or on the spot at tourist destinations, for example, directly at tourist villages that have tour package offers. The tour packages offered vary with different prices and specifications. The various choices of tour packages offered sometimes make tourists confused about choosing the right tour package. This is because the prices are not in accordance with the tourist budget, and the schedule is not flexible. Tourists are required to be precise in making decisions so that the selected tour package is as desired. For this reason, it is necessary to have a system that helps in providing alternative choices of tour packages. A decision support system (DSS) is one of the tools that can be used in decision-making for decision-makers. From several decision-making methods in this study, a comparison of two methods, namely TOPSIS and MARCOS, was carried out to determine tour packages according to tourist criteria. These two methods were chosen because they have similarities in the calculation concept, which is related to the ideal solution and the anti-ideal solution. Comparisons are made using the total budget and total time parameters. The test was carried out using 10 trial data entered by tourists and then the tourist objects themselves, namely samples of natural, culinary, and shopping attractions in Badung Regency. The test results show that the MARCOS method is better than the TOPSIS method because it produces 7 test data with a better total budget and total time.","PeriodicalId":417206,"journal":{"name":"Journal of Computer Science and Technology Studies","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116045188","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