2021 4th International Conference of Computer and Informatics Engineering (IC2IE)最新文献

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649023

A. Azzam, Y. Priyadi, Jati H. Husen

{"title":"Similarity Software Requirement Specification (SRS) Elicitation Based on the Requirement Statement Using Text Mining on the MNC Play Inventory Management Application","authors":"A. Azzam, Y. Priyadi, Jati H. Husen","doi":"10.1109/ic2ie53219.2021.9649023","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649023","url":null,"abstract":"In the software development stage, there are needs analysis activities carried out through elicitation activities, which will produce requirements specification documents. In this document, there is a discrepancy in the perception of elicitation results between developers and clients regarding software requirements based on two methods, namely: elicitation and the Requirement Statement. There are specific steps to achieve this goal, namely: determining the similarity between the software requirements specifications and the elicitation results, analyzing the text contained in the elicitation results using the text mining method, and testing the validity and reliability of the research results through the use of Gwet's AC1 formula. The results obtained are the document with the highest similarity value is the 6th document, namely \"The manager can approve items that the supervisor has approved,\" and the 8th document, namely \"Admin can approve items that supervisors and managers have approved.\" The resulting similarity figure is 0.927587, which means that the similarity level is very high from the number, which is close to number 1.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115378586","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

Distributed Ledger Technology Based Immutable Authentication Credential System (D-IACS) 基于分布式账本技术的不可变认证凭证系统(D-IACS)

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649258

Jainshaid Iqbal Janjua, Mehwish Nadeem, Z. Khan

{"title":"Distributed Ledger Technology Based Immutable Authentication Credential System (D-IACS)","authors":"Jainshaid Iqbal Janjua, Mehwish Nadeem, Z. Khan","doi":"10.1109/ic2ie53219.2021.9649258","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649258","url":null,"abstract":"Based on the first three Industrial Revolutions (IRs), the Fourth Industrial Revolution (4IR) is changing the society like never before, as a result of storms of technologies. Distributed Ledger Technology (DLT) supported blockchain technology is fourth industrial revolution (4IR) as it transforming the current internet. After the invention of internet, DLT can be considered next technological breakthrough. It is anticipated to transform not only the technical structure of our information technology and communication, but also has potential to re-model the very-fabric of society. As far as blockchain adoption is concern, rapid transformation of business, governments and existing traditional system into purely blockchain based system have many challenges and barriers, especially in developing countries. It will take years for blockchain to dribble into our social and economic infrastructure. We proposed a DLT based model and framework that supports and facilitates conventional transformation of existing systems towards 4IR based DLT systems that can accommodate smooth communication between the legacy systems with the latest systems. Hence, this adds value to the efforts and the man hours invested for making the systems in history. This article investigates the different blockchain platforms in terms of contract language, governance, data access, privacy, transparency, mining and suggests the most suitable DLT platform for Pakistan’s education sector.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121066597","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

In Silico Prediction of Indonesian Herbs Compounds as Covid-19 Supportive Therapy using Support Vector Machine 基于支持向量机的印尼草药化合物作为Covid-19支持治疗的计算机预测

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649383

M. Darma, M. Reza Faisal, Irwan Budiman, Rudy Herteno, J. P. Utami, B. Abapihi

{"title":"In Silico Prediction of Indonesian Herbs Compounds as Covid-19 Supportive Therapy using Support Vector Machine","authors":"M. Darma, M. Reza Faisal, Irwan Budiman, Rudy Herteno, J. P. Utami, B. Abapihi","doi":"10.1109/ic2ie53219.2021.9649383","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649383","url":null,"abstract":"Many kinds of research on drug discovery using computational or in silico methods have been carried out. In this era of the Covid-19 pandemic, this research was also carried out by utilizing a commonly used technique, namely using machine learning to predict the interaction of compounds and proteins. This technique is known as Drug Target Interaction (DTI). The compounds used are herbal originating from Indonesia, and the protein used is a potential Covid-19 protein, one of which is SARS-CoV-2. The prediction process with machine learning can only be done on structured data. The data on herbal and protein were processed in this research using the Fingerprint as a descriptor compound and Pseudo Amino Acid Composition (PseAAC) as a protein descriptor technique. The result is structured data processed with the Support Vector Machine algorithm to create an interaction prediction model. The result is that the prediction accuracy is 95.96%. Furthermore, this model can predict Indonesian herbal compounds as drug candidates for Covid-19 supportive therapy.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123693815","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

Optimization of Stand Alone Solar Home System with Battery 独立式家用太阳能电池系统的优化

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649406

Isdawimah, Nuha Nadhiroh, A. D. Aji

引用次数: 3

E-learning User Acceptance on Employee Training using E-learning on Organization in Indonesia 印度尼西亚组织中使用电子学习进行员工培训的用户接受度

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649183

Thary Dwi Putri, Putu Wuri Handayani

{"title":"E-learning User Acceptance on Employee Training using E-learning on Organization in Indonesia","authors":"Thary Dwi Putri, Putu Wuri Handayani","doi":"10.1109/ic2ie53219.2021.9649183","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649183","url":null,"abstract":"Based on data derived from the Refinery Directorate of an Indonesia Petroleum Company, the number of workers aged 38 to 45 years is only 8% of the total workers at HSSE Refinery. This phenomenon leads to non-fulfillment of experienced workers requirement during management succession. To accelerate the transfer of knowledge for management succession, a competency development program is carried out through the E-learning Refinery Enrichment Program (REP). The sub-optimal use was analyzed using the General Extended Technology Acceptance Model for E-learning (GETAMEL) and Technology-Organization-Environment (TOE) models. This was a mixed method study which used a questionnaire towards 80 REP users and interviewing 2 REP users. The data processing using PLS-SEM utilized SmartPLS3. The results indicated the factors that influenced the use of REP were Experience, Subjective Norm, Organizational Support, Policies and Relative Advantage, Attitude, and Intention to Use. The results of this study can be used as a reference for further studies related to web-based training in companies, to understand the factors that influenced the use of E-learning and recommendations for improvement. Recommendations to increase utilized REP applications include providing training and assistance regarding the use of REP, creating discussion forums, promoting the use of REP, developing implementation procedures, and developing REP.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116393875","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

Solution to Traveling Freelance Teacher Problem using the Simple K-Means Clustering 用简单k -均值聚类方法求解自由教师问题

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649086

Afrizal Nur, R. Kurniawan, Mohd Zakree Ahmad Nazri, K. Rajab, P. Papilo, Ahmad Mas'ari

{"title":"Solution to Traveling Freelance Teacher Problem using the Simple K-Means Clustering","authors":"Afrizal Nur, R. Kurniawan, Mohd Zakree Ahmad Nazri, K. Rajab, P. Papilo, Ahmad Mas'ari","doi":"10.1109/ic2ie53219.2021.9649086","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649086","url":null,"abstract":"This article proposes viable solutions to the traveling freelance teacher problem, which is similar to the traveling salesman with the time window problem. Freelance teachers are usually paid higher than fully employed teachers, but they are often offered fewer hours and a less consistent schedule. However, freelancers can work at more than one private school, private students, and charity-based work at a local hall or religious places such as a mosque. Mosques in Indonesia are located both in urban areas, where many mosques are nearby and in remote villages, sparsely populated rural areas, where the travel time between mosques is significant. The traveling teacher problem is solved by clustering teaching locations using the K-means clustering approach, and clusters are joined to end the route with the shortest distance. This study used the K-means to automatically search for unknown clusters of learning centers similar to a teacher's geolocation. Results show that using K-Means, the approach can recommend a similar learning center to the teacher's requirement at a cluster number index of about 83%. This study also revealed that the best number of clusters was determined by cluster number index, cluster sum of squared errors, silhouette, and time taken.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128545183","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

Text Normalization for Indonesian Text-to-Speech (TTS) using Rule-Based Approach: A Dataset and Preliminary Study 基于规则方法的印尼语文本到语音(TTS)文本规范化:数据集和初步研究

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649417

Nana Mulyana Maghfur, Muhammad Okky Ibrohim, Junaedi Fahmi, Achmad Satria Putera, Oskar Riandi

引用次数: 1

Leftovers Food Recognition using Deep Neural Network and Regression Approach for Objective Visual Analysis Estimation 基于深度神经网络和回归方法的剩菜食物识别

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649045

Y. A. Sari, Sigit Adinugroho, J. M. Maligan, Ersya Nadia Candra, Fitri Utaminingrum, Nabila Nur’aini

{"title":"Leftovers Food Recognition using Deep Neural Network and Regression Approach for Objective Visual Analysis Estimation","authors":"Y. A. Sari, Sigit Adinugroho, J. M. Maligan, Ersya Nadia Candra, Fitri Utaminingrum, Nabila Nur’aini","doi":"10.1109/ic2ie53219.2021.9649045","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649045","url":null,"abstract":"Understanding the nutritional intake is essential for basic life since every human being must have insight into what food they have eaten. A nutritionist can help in guiding what the body should consume, where each patient may have different diet and treatment patterns. One indicator used by dietitians or nutritionists is by estimating the leftovers consumed by the patient. They measure it by visually named Comstock method, which is divided into scales. This method's drawback is subjective from one another dietitians or nutritionists so that an objective assessment with a machine learning-based approach is acquired. This paper proposes a novel stage of defining food recognition and measuring its leftovers using visual analysis. The food image recognition method used CNN to estimate food waste using pixel-based AFLE and regression approach to fit into six scales. The best result of food image recognition was 92.5% using dropout 0.3 with image augmentation and ReLu activation function, while the accuracy result of visual estimation application compared to experts was 85%. It is proved that the combined proposed algorithm is robust for the application of recognizing and estimating leftovers.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126674843","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

Implementation of Triple Exponential Smoothing (TES) Method for Forecasting the Number of Dengue Patients Web-based 基于网络的登革热患者数量预测的三指数平滑(TES)方法的实现

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649118

Fatma, H. Maulana

{"title":"Implementation of Triple Exponential Smoothing (TES) Method for Forecasting the Number of Dengue Patients Web-based","authors":"Fatma, H. Maulana","doi":"10.1109/ic2ie53219.2021.9649118","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649118","url":null,"abstract":"Dengue is a disease with the number of cases increasing every year. In Indonesia, Dengue is one of the main problems in public health. One of the factors causing the increase in dengue cases is climate change which is uncertain and makes the disease difficult to predict. Forecasting is important to predict future events by using past data references. The purpose of this research is to implement and provide a systematic description of data forecasting for Dengue patients. The Triple Exponential Smoothing (TES) method can be used to predict the number of dengue patients based on existing historical data. This study uses historical data for patients with dengue in the city of Bandung in 2016 – 2019. With sub-district variables, male patients and female sufferers are used. The results obtained that the smallest MAPE value of 0.78% was in Buah Batu sub-district and the largest MAPE was 13.70% in Cinambo sub-district for data on male Dengue patients. Data for female Dengue patients shows that the lowest MAPE value is 1.59% in Batununggal sub-district and the largest MAPE is 15.10% in Bandung Wetan sub-district and the average MAPE value in all sub-districts in Bandung is 5.74% for data for female patients and 5.66% for male patients.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130656744","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

e-Fungi: Using IoT to Monitor and Control The Growth of Fungi Causing Leather Goods Become Weathered 电子真菌:利用物联网监测和控制导致皮革制品风化的真菌的生长

2021 4th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2021-09-14 DOI: 10.1109/ic2ie53219.2021.9649161

R. Hartono, Mutia Tsani Az Zahra, Siti Kholifah, Adam Imam Prasetyo

{"title":"e-Fungi: Using IoT to Monitor and Control The Growth of Fungi Causing Leather Goods Become Weathered","authors":"R. Hartono, Mutia Tsani Az Zahra, Siti Kholifah, Adam Imam Prasetyo","doi":"10.1109/ic2ie53219.2021.9649161","DOIUrl":"https://doi.org/10.1109/ic2ie53219.2021.9649161","url":null,"abstract":"The leather industry is one of the small and medium industries that is experiencing rapid development in the Indonesian region. Even so, various problems apply to this business. One of them is related to the care that needs to be done on the leather which requires it to be stored in a place with a controlled temperature and environment because it tends to become a place for fungi growth. It is necessary to create an appropriate solution to help the problems that support the leather industry. e-Fungi will work as a system that can measure and control the temperature and humidity of a storage room for basic leather ingredients or products produced in real time. Also, the system will help and provide information about goods stock. This system will use DHT11 as a temperature and humidity sensor, bulb and DC fan as a temperature and humidity control system, an infrared sensor as a system for managing the number of goods, and the NodeMCU board module which will all be controlled using Arduino integrated via ThingSpeak. The results of system testing in the management of the number of goods have an accuracy value of 100% and the temperature and humidity sensor section has an accuracy of 95%. Meanwhile, the sending and reading of data by ThingSpeak web has a delay of 8.4 seconds and the percentage of error in the data transmission process is 4.7%.","PeriodicalId":178443,"journal":{"name":"2021 4th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131832396","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