Journal of Advanced Computer Knowledge and Algorithms最新文献

Comparison of Chen's Fuzzy Time Series and Triple Exponential Smoothing in Forecasting Medicine Stocks at the Blang Cut Kuala Community Health Center 陈氏模糊时间序列与三重指数平滑法在 Blang Cut Kuala 社区卫生中心医药库存预测中的比较

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-07-01 DOI: 10.29103/jacka.v1i3.16870

Salma Devi, Zara Yunizar, Sujacka Retno

{"title":"Comparison of Chen's Fuzzy Time Series and Triple Exponential Smoothing in Forecasting Medicine Stocks at the Blang Cut Kuala Community Health Center","authors":"Salma Devi, Zara Yunizar, Sujacka Retno","doi":"10.29103/jacka.v1i3.16870","DOIUrl":"https://doi.org/10.29103/jacka.v1i3.16870","url":null,"abstract":"Forecasting is estimating future conditions by examining conditions in the past. In social life, everything is uncertain and difficult to predict precisely, so forecasting is needed. Efforts are always made to make forecasts in order to minimize the influence of this uncertainty on a problem. In other words, forecasting aims to obtain forecasts that can minimize forecast errors, which are usually measured by the mean absolute percentage error. This method is usually used for time series-based forecasting and uses data or information from the past as a reference when predicting current data. This research will compare the application of the Fuzzy Time Series Chen method and the Triple Exponential Smoothing method in forecasting drug stock determination at the Kuala Community Health Center, Blang Mangat District, Lhokseumawe City Regency, Aceh. The research results showed that the Triple Exponential Smoothing method was better in forecasting drug stock inventories compared to Chen's Fuzzy Time Series method. Chen's Fuzzy Time Series method produces a MAPE value of 17.67%, which means it has an accuracy of 82.33%, while the Triple Exponential Smoothing method produces a MAPE value of 9.842%, which means it has an accuracy of 90.158%","PeriodicalId":516688,"journal":{"name":"Journal of Advanced Computer Knowledge and Algorithms","volume":"2014 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141706981","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

Web Application Firewall (WAF) Design to Detect and Anticipate Hacking in Web-Based Applications 检测和预测基于网络应用程序的黑客攻击的网络应用程序防火墙 (WAF) 设计

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-07-01 DOI: 10.29103/jacka.v1i3.16315

Muhammad Annas, R. T. Adek, Yesy Afrillia

引用次数: 0

Virtual Private Cloud (VPC) & Elastic Compute Cloud (EC2) with Remote Access Using PuTTY Terminal on Ubuntu in a Private VPN 在专用 VPN 中使用 Ubuntu 上的 PuTTY 终端远程访问虚拟专用云 (VPC) 和弹性计算云 (EC2)

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-07-01 DOI: 10.29103/jacka.v1i3.16924

Irwanda Syahputra, Rizalul Akram

引用次数: 0

Implementation of Tsukamoto Fuzzy Logic to Determine Sheep Livestock Population Based on Gender and Age Category in Aceh Tamiang Regency 亚齐 Tamiang 地区基于性别和年龄分类的冢本模糊逻辑确定绵羊牲畜数量的实施情况

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-07-01 DOI: 10.29103/jacka.v1i3.16877

Cut Agusniar, Raziatul Khaira, Rifki Ramadan

引用次数: 0

Implementation of Finite State Automata Method in Text to Speech Conversion System 在文本到语音转换系统中实现有限状态自动机方法

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-07-01 DOI: 10.29103/jacka.v1i3.16917

Rini Meiyanti, Cut Lika Mestika Sandy

{"title":"Implementation of Finite State Automata Method in Text to Speech Conversion System","authors":"Rini Meiyanti, Cut Lika Mestika Sandy","doi":"10.29103/jacka.v1i3.16917","DOIUrl":"https://doi.org/10.29103/jacka.v1i3.16917","url":null,"abstract":"Sound processing uses a variety of methods. One of them is converting writing into sound or commonly known as Text To Speech.Text To Speech is a tool for converting writing input into sound by changing the phoneme of writing.Text To Speech Text To Speech consists of two sub-systems namely word to phoneme converters and phoneme to speech converter. The phoneme itself consists of word fragments that have different speech from one another with each other. To perform the phoneme separation process, the Finite State Automata method. Finite State Automata can recognise the simplest language and is an abstract machine whose input and output are discrete. The input system that is processed by the system only consists of two words. If there are more than two word inputs, the programme will not be able to perform word separation properly. After the word separation is done, then the system performs phoneme to speech converter.The resulting speech is processed by the Indo_TTS database which was database developed using the diphone prosody method concatenation prosody methodThe word that has been separated will be stored into the MySQL database as a result of words that have been tested by the system. Later this system will be intended for general public, students and people with speech impairment. The percentage of successful syllable separation and homograph sound output is 98.7% in the programme's success rate.","PeriodicalId":516688,"journal":{"name":"Journal of Advanced Computer Knowledge and Algorithms","volume":"44 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141841592","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

Z-Score and Floyd Warshall Algorithms for Determining Alternative Routes of Mugging-Prone Areas in Medan City, Indonesia 用于确定印度尼西亚棉兰市抢劫频发地区替代路线的 Z 值和 Floyd Warshall 算法

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-04-01 DOI: 10.29103/jacka.v1i2.15889

Defy Syafira

引用次数: 1

Classification of Heart Disease Using Modified K-Nearest Neighbor (MKNN) Method 使用修正的 K 近邻（MKNN）方法进行心脏病分类

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-04-01 DOI: 10.29103/jacka.v1i2.15702

Aulia Azzahra Ma'aruf Lubis, Rozzi Kesuma Dinata, Hafizh Al Kautsar Aidilof

引用次数: 0

Applying TF-IDF and K-NN for Clickbait Detection in Indonesian Online News Headlines 应用 TF-IDF 和 K-NN 在印尼在线新闻标题中进行点击诱饵检测

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-04-01 DOI: 10.29103/jacka.v1i2.15810

Muhammad Athallah Afif, Munirul Ula, Lidya Rosnita, Rizal Rizal

引用次数: 0

Classification of Receiving Electricity Subsidy Assistance in Blang Panyang Village Using the K-NN (K-Nearest Neighbor) Method 使用 K-NN（K-最近邻法）对布朗潘阳村接受电力补贴援助的情况进行分类

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-01-01 DOI: 10.29103/jacka.v1i1.14530

Miftahul Jannah, Cut Syahira Salsabila, Nur Faiza, Mutasar Mutasar

引用次数: 0

Implementation of K-NN Algorithm to classify the Scholarship Recipients of Aceh Carong at Universitas Malikussaleh 采用 K-NN 算法对马利库萨莱大学亚齐卡隆奖学金获得者进行分类

Journal of Advanced Computer Knowledge and Algorithms Pub Date : 2024-01-01 DOI: 10.29103/jacka.v1i1.14534

Riski Yanti, Sujacka Retno, Balqis Yafis

{"title":"Implementation of K-NN Algorithm to classify the Scholarship Recipients of Aceh Carong at Universitas Malikussaleh","authors":"Riski Yanti, Sujacka Retno, Balqis Yafis","doi":"10.29103/jacka.v1i1.14534","DOIUrl":"https://doi.org/10.29103/jacka.v1i1.14534","url":null,"abstract":"In an effort to increase the efficiency of the scholarship selection process, this research aims to implement the K-Nearest Neighbors (K-NN) algorithm in the classification of scholarship recipients. The research method involves collecting data on scholarship receipts from several previous years based on predetermined criteria such as father's job, mother's job, parent's income, number of parents working, father's last education, and mother's last education. Next, the K-NN algorithm is applied to classify prospective scholarship recipients based on the similarity of their profiles to students who have received previous scholarships. The results of this research indicate that the implementation of the K-NN algorithm in the classification of scholarship admissions at Malikussaleh Aceh Carong University can increase selection accuracy. The experimental results of the accuracy values obtained show that using the K-Nearest Neighbors algorithm with the Euclidean Distance approach and a value of K = 3 produces an algorithm accuracy level of 87.55%. Thus, the K-NN algorithm can be a useful method for scholarship selectors to support more precise and objective decision making.","PeriodicalId":516688,"journal":{"name":"Journal of Advanced Computer Knowledge and Algorithms","volume":"44 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139640795","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