JOIN Jurnal Online Informatika最新文献_第6页

Determinant Factors in the Implementation of Information Technology Strategic Management to Academicians' Performance in Higher Education Institution 高校实施信息技术战略管理对院士绩效的决定因素

JOIN Jurnal Online Informatika Pub Date : 2021-12-26 DOI: 10.15575/join.v6i2.829

C. Slamet, Aedah Binti Abdul Rahman, M. Ramdhani

引用次数: 1

Enhancement of White Blood Cells Images using Shock Filtering Equation for Classification Problem 用冲击滤波方程增强白细胞图像的分类问题

JOIN Jurnal Online Informatika Pub Date : 2021-12-26 DOI: 10.15575/join.v6i2.739

Gregorius Vito, P. H. Gunawan

引用次数: 1

Sundanese Stemming using Syllable Pattern 利用音节模式的Sundanese词干

JOIN Jurnal Online Informatika Pub Date : 2021-12-26 DOI: 10.15575/join.v6i2.812

A. Sutedi, Rickard Elsen, M. Nasrulloh

引用次数: 1

The Comparison of Audio Analysis Using Audio Forensic Technique and Mel Frequency Cepstral Coefficient Method (MFCC) as the Requirement of Digital Evidence 基于数字证据要求的音频取证技术与低频倒谱系数法的音频分析比较

JOIN Jurnal Online Informatika Pub Date : 2021-12-26 DOI: 10.15575/join.v6i2.702

Helmy Dzulfikar, S. Adinandra, E. Ramadhani

{"title":"The Comparison of Audio Analysis Using Audio Forensic Technique and Mel Frequency Cepstral Coefficient Method (MFCC) as the Requirement of Digital Evidence","authors":"Helmy Dzulfikar, S. Adinandra, E. Ramadhani","doi":"10.15575/join.v6i2.702","DOIUrl":"https://doi.org/10.15575/join.v6i2.702","url":null,"abstract":"Audio forensics is the application of science and scientific methods in handling digital evidence in the form of audio. In this regard, the audio supports the disclosure of various criminal cases and reveals the necessary information needed in the trial process. So far, research related to audio forensics is more on human voices that are recorded directly, either by using a voice recorder or voice recordings on smartphones, which are available on Google Play services or iOS Store. This study compares the analysis of live voices (human voices) with artificial voices on Google Voice and other artificial voices. This study implements the audio forensic analysis, which involves pitch, formant, and spectrogram as the parameters. Besides, it also analyses the data by using feature extraction using the Mel Frequency Cepstral Coefficient (MFCC) method, the Dynamic Time Warping (DTW) method, and applying the K-Nearest Neighbor (KNN) algorithm. The previously made live voice recording and artificial voice are then cut into words. Then, it tests the chunk from the voice recording. The testing of audio forensic techniques with the Praat application obtained similar words between live and artificial voices and provided 40,74% accuracy of information. While the testing by using the MFCC, DTW, KNN methods with the built systems by using Matlab, obtained similar word information between live voice and artificial voice with an accuracy of 33.33%.","PeriodicalId":32019,"journal":{"name":"JOIN Jurnal Online Informatika","volume":"162 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82649546","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

Model TangselPay Receipts Using the UTAUT 2 Method 模型TangselPay收据使用UTAUT 2方法

JOIN Jurnal Online Informatika Pub Date : 2021-12-26 DOI: 10.15575/join.v6i2.803

Aolia Ikhwanudin, Kusrini Kusrini, Agung Budi Prasetio

{"title":"Model TangselPay Receipts Using the UTAUT 2 Method","authors":"Aolia Ikhwanudin, Kusrini Kusrini, Agung Budi Prasetio","doi":"10.15575/join.v6i2.803","DOIUrl":"https://doi.org/10.15575/join.v6i2.803","url":null,"abstract":"The South Tangerang City Government launched a digital financial service called TangselPay. This payment instrument will function as a means of paying levies and other transactions paid by taxpayers, TangselPay is basically a service from the South Tangerang City Government which is accessed via cellular phones (cell phones/smartphones) with the main aim of providing convenience to taxpayers in making levy payments. . . , so that taxpayers do not need to pay cash to the officer. This study aims to determine what factors influence people's interest in using TangselPay services in South Tangerang. The research model used is a modified model of Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2). Data collection using purposive sampling method with the number of respondents in this study as many as 116 people in our market Pamulang. The data analysis technique in this study used Structural Equation Modeling (SEM) with SmartPLS version 3.3.3 software. The results of the analysis illustrate that the variables of Performance Expectations (PE) and Facilitation Condition (FC) have a positive effect on Use behavior and interest in use have a positive effect on usage behavior. While the variables of business expectations, social influence and hedonic motivation do not have a direct effect.","PeriodicalId":32019,"journal":{"name":"JOIN Jurnal Online Informatika","volume":"C-30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84443178","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

Prediction Model for Soybean Land Suitability Using C5.0 Algorithm 基于C5.0算法的大豆土地适宜性预测模型

JOIN Jurnal Online Informatika Pub Date : 2021-12-26 DOI: 10.15575/join.v6i2.711

Andi Nurkholis, Styawati Styawati

{"title":"Prediction Model for Soybean Land Suitability Using C5.0 Algorithm","authors":"Andi Nurkholis, Styawati Styawati","doi":"10.15575/join.v6i2.711","DOIUrl":"https://doi.org/10.15575/join.v6i2.711","url":null,"abstract":"Soybean is one of the protein main sources that can be used for consumption in tempeh, tofu, milk, etc. Based on projection results, soybean production and consumption balance in Indonesia, in 2018-2022, it is estimated that deficit will increase by 6.18% per year. So, it's necessary to guide soybean land suitability, which can be carried out by evaluating existing land suitability to support soybean farming expansion and production. This study conducted an analytical study to evaluate soybean land suitability using C5.0 algorithm based on land and weather characteristics. The C5.0 algorithm is an extension of spatial decision tree, an ID3 decision tree extension. Dataset is divided into two categories: explanatory factors representing seven land characteristics (drainage, land slope, base saturation, cation exchange capacity, soil texture, soil pH, and soil mineral depth) and two weather data (rainfall and temperature), and a target class represent soybean land suitability in two study areas, namely Bogor and Grobogan Regency. The result generated two land suitability models with the best model obtained accuracy for training data 98.58%, while testing data was 97.17%. The best model rules are 69 rules that do not involve three attributes: cation exchange capacity, soil mineral depth, and rainfall.","PeriodicalId":32019,"journal":{"name":"JOIN Jurnal Online Informatika","volume":"121 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74459245","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 VGG Architecture to Detect Korean Syllables Based on Image Text VGG体系结构在图像文本韩语音节检测中的应用

JOIN Jurnal Online Informatika Pub Date : 2021-12-26 DOI: 10.15575/join.v6i2.653

Irma Amelia Dewi, Amelia Shaneva

引用次数: 0

Comparison of Machine Learning Classification Methods in Hepatitis C Virus 丙型肝炎病毒机器学习分类方法的比较

JOIN Jurnal Online Informatika Pub Date : 2021-06-17 DOI: 10.15575/JOIN.V6I1.719

L. Syafaah, Z. Zulfatman, I. Pakaya, Merinda Lestandy

引用次数: 8

Location Selection Query in Google Maps using Voronoi-based Spatial Skyline (VS2) Algorithm 基于voronoi的空间天际线(VS2)算法的谷歌地图位置选择查询

JOIN Jurnal Online Informatika Pub Date : 2021-06-17 DOI: 10.15575/join.v6i1.667

A. Annisa, Leni Angraeni

{"title":"Location Selection Query in Google Maps using Voronoi-based Spatial Skyline (VS2) Algorithm","authors":"A. Annisa, Leni Angraeni","doi":"10.15575/join.v6i1.667","DOIUrl":"https://doi.org/10.15575/join.v6i1.667","url":null,"abstract":"Google Maps is one of the popular location selection systems. One of the popular features of Google Maps is nearby search. For example, someone who wants to find the closest restaurants to his location can use the nearby search feature. This feature only considers one specific location in providing the desired place choice. In a real-world situation, there may be a need to consider more than one location in selecting the desired place. Assume someone would like to choose a hotel close to the conference hall, the museum, beach, and souvenir store. In this situation, nearby search feature in Google Maps may not be able to suggest a list of hotels that are interesting for him based on the distance from each destination places. In this paper, we have successfully developed a web-based application of Google Maps search using Voronoi-based Spatial Skyline (VS2) algorithm to choose some Point Of Interest (POI) from Google Maps as their considered locations to select desired place. We used Google Maps API to provide POI information for our web-based application. The experiment result showed that the execution time increases while the number of considered location increases.","PeriodicalId":32019,"journal":{"name":"JOIN Jurnal Online Informatika","volume":"73 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86776011","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

Discovering Computer Science Research Topic Trends using Latent Dirichlet Allocation 利用潜在狄利克雷分配发现计算机科学研究主题趋势

JOIN Jurnal Online Informatika Pub Date : 2021-06-17 DOI: 10.15575/join.v6i1.636

Kartika Rizqi Nastiti, A. Hidayatullah, A. R. Pratama

引用次数: 2