Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)最新文献_第2页

Designing A WSNs-based Smart Home Monitoring System through Deep Reinforcement Learning 基于深度强化学习的wsn智能家居监控系统设计

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Pub Date : 2023-10-28 DOI: 10.29207/resti.v7i5.5143

Ahmad Taqwa, None Indra Griha Tofik Isa, None Indri Ariyanti

{"title":"Designing A WSNs-based Smart Home Monitoring System through Deep Reinforcement Learning","authors":"Ahmad Taqwa, None Indra Griha Tofik Isa, None Indri Ariyanti","doi":"10.29207/resti.v7i5.5143","DOIUrl":"https://doi.org/10.29207/resti.v7i5.5143","url":null,"abstract":"The technology of smart home systems has developed rapidly and provides convenience for human life. Several smart home technologies, especially monitoring systems, have been developed by integrating several aspects, including security systems, fuzzy methods, and energy saving methods. However, the problem is how to build a smart home system that is accurate, convenient, and low-cost. In this research, the development of a smart home monitoring system that integrates wireless sensor networks (WSNs) and deep reinforcement learning (DRL) is carried out based on three parameters, i.e. temperature, humidity and CO2 level. The experimental method is carried out by (1) validating the accuracy quality of WSNs; (2) determining the best model implemented in the system; and (3) measuring the quality of the DRL system on the smart home monitoring system. Based on the test results, several indicators were obtained: (1) WSN testing resulted in an accuracy of 98.52%; (2) the accuracy of the modeling results implemented in the system is 97.70%; and (3) DRL system test on the smart home monitoring system through 21 test scenarios resulted in an accuracy of 95.52%. The indicators of testing this smart monitoring system prove that the developed system provides the advantages of accuracy, ease of use, and low cost.","PeriodicalId":435683,"journal":{"name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","volume":"308 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136158407","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

Process Mining on New Student Admission Process in Telkom University using Genetic Miner 基于遗传Miner的电信大学新生录取过程挖掘

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Pub Date : 2023-10-28 DOI: 10.29207/resti.v7i5.5241

Supra Yogi, None Angelina Prima Kurniati, None Ichwanul Muslim Karo Karo

{"title":"Process Mining on New Student Admission Process in Telkom University using Genetic Miner","authors":"Supra Yogi, None Angelina Prima Kurniati, None Ichwanul Muslim Karo Karo","doi":"10.29207/resti.v7i5.5241","DOIUrl":"https://doi.org/10.29207/resti.v7i5.5241","url":null,"abstract":"The selection process for new students at Telkom University, also known as SMB Telkom University has been running for years and already has its process flow. However, the existing process flow can be further improved to better reflect the actual field processes and become more accurate. Process mining can enhance this process flow by creating a new process flow based on event logs or previously executed processes. One of the algorithms in process mining is genetic process mining, where process mining is performed multiple times over several generations and genetic algorithms such as crossover and mutation are applied to generate a more accurate process model compared to other process mining algorithms such as heuristic and inductive mining. After conducting experiments, the best process model that was produced was at the 100th generation which has a fitness point of 0.755910819 and precision point of 0.742857143, after examining the parameters and the resulting Petri net or process flow that was produced it was concluded that the process model obtained from the application of Genetic Process Mining to SMB Telkom University is not very good because the resulting Petri net has several duplicate activities and appears to be non-linear. This could be due to several factors i.e., incompatible, or inaccurate data.","PeriodicalId":435683,"journal":{"name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","volume":"52 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136233373","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

Hyperparameter Optimization of CNN Classifier for Music Genre Classification 音乐类型分类CNN分类器的超参数优化

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Pub Date : 2023-10-23 DOI: 10.29207/resti.v7i5.5319

Rendra Soekarta, Suhardi Aras, None Ahmad Nur Aswad

引用次数: 0

Design Factors in Evaluating and Formulating IT Governance Systems in Public Organizations 公共组织中评估和制定IT治理系统的设计因素

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Pub Date : 2023-10-22 DOI: 10.29207/resti.v7i5.4939

Muhammad Rifai Katili, Lanto Ningrayati Amali, Siiti Suhada

{"title":"Design Factors in Evaluating and Formulating IT Governance Systems in Public Organizations","authors":"Muhammad Rifai Katili, Lanto Ningrayati Amali, Siiti Suhada","doi":"10.29207/resti.v7i5.4939","DOIUrl":"https://doi.org/10.29207/resti.v7i5.4939","url":null,"abstract":"The application of information technology (IT) by central and regional governments to public services is intended to efficiently and effectively improve performance and public services. However, many studies have shown the ineffective application of IT. In Gorontalo province, this can be seen in the e-readiness value of Gorontalo province as a prerequisite for successful IT implementation, which is still at 58.15 points, which means that it is at a moderate level of readiness. This shows that implementing IT governance in the local government of Gorontalo province is still not optimal in terms of performance or public services. This study aims to identify the design factors that need to be considered when implementing IT Governance to achieve better public service performance. This study uses a quantitative approach based on a survey method. The results showed six models at Level 3: BAI06, BAI07, DSS01, DSS03, DSS04, and DSS05. In addition, four models were at level 4: APO12, APO13, BAI10, and DSS02. Levels 3 and 4 show that the IT governance capability of the Gorontalo provincial government in each model is not yet optimal. This study recommends that the Gorontalo provincial government evaluate and formulate an effective IT Governance system by focusing on each model's IT Governance design factors to improve public service performance.","PeriodicalId":435683,"journal":{"name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","volume":"141 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135462336","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

Enhancing User Interface and Experience of the Bukalapak Application: A Sentiment Analysis Approach for Improved Usability and User Satisfaction in Indonesia's E-Commerce Sector 增强Bukalapak应用程序的用户界面和体验:一种情感分析方法，用于提高印度尼西亚电子商务部门的可用性和用户满意度

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Pub Date : 2023-10-22 DOI: 10.29207/resti.v7i5.5184

Ikhwan Arief, Muhammad Farhandika, Ahmad Syafruddin Indrapriyatna, Ardhian Agung Yulianto, Yumi Meuthia

{"title":"Enhancing User Interface and Experience of the Bukalapak Application: A Sentiment Analysis Approach for Improved Usability and User Satisfaction in Indonesia's E-Commerce Sector","authors":"Ikhwan Arief, Muhammad Farhandika, Ahmad Syafruddin Indrapriyatna, Ardhian Agung Yulianto, Yumi Meuthia","doi":"10.29207/resti.v7i5.5184","DOIUrl":"https://doi.org/10.29207/resti.v7i5.5184","url":null,"abstract":"In this research, we use sentiment analysis to refine the user interface (UI) and user experience (UX) of the Bukalapak application, a leading online trading platform in Indonesia. We focus our scrutiny on 4,462 reviews related to the UI within a larger dataset of 246,947. Almost a third of these critiques express dissatisfaction, predominantly pointing out issues related to the UI design and its functionality. The critiques underscore the potential of sentiment analysis as a tool to uncover areas of user-centric design that need improvement. To address these issues, it is necessary to incorporate user feedback and sentiment analysis into the design workflow, allowing a more in-depth understanding of user needs and facilitating more effective service enhancements. Embracing a user-centered methodology allows for UI fine-tuning, leading to better functionality and increased user contentment. Our investigation reveals a positive link between design refinements and usability ratings, indicating improved user experience satisfaction. To summarize, this research highlights the essential contribution of user feedback and sentiment analysis to detect and correct UI shortfalls, thus augmenting UX and contributing to the triumph of platforms like Bukalapak within Indonesia's dynamically changing e-commerce environment.   ","PeriodicalId":435683,"journal":{"name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","volume":"40 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135462337","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

Service Automation Implementation for Delivering CaaS at the Ministry of Finance of Indonesia 印度尼西亚财政部交付CaaS的服务自动化实现

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Pub Date : 2023-10-22 DOI: 10.29207/resti.v7i5.5032

Achmad Farid Rusdi, Bob Hardian, Teguh Raharjo, Tiarma Simanugkalit

{"title":"Service Automation Implementation for Delivering CaaS at the Ministry of Finance of Indonesia","authors":"Achmad Farid Rusdi, Bob Hardian, Teguh Raharjo, Tiarma Simanugkalit","doi":"10.29207/resti.v7i5.5032","DOIUrl":"https://doi.org/10.29207/resti.v7i5.5032","url":null,"abstract":"Evaluation is an essential aspect of service improvement. Within the Ministry of Finance, there is an organization responsible for providing IT services to various units and employees. One of the services offered by this organization is cloud computing, which supports the development of information systems. However, there are several challenges related to service fulfillment. For instance, the time required to fulfill a service is relatively long, taking two days, in contrast to public cloud providers, which can deliver their services in minutes. Additionally, there is a potential for human errors in the manual process carried out by the Request Fulfillment Team (RFT) during service delivery. This study aims to explore the design and implementation of automated container service fulfillment, transforming them into self-service products. The author employs the Finite-State Automata (FSA) model to test the input and output of the automation system using seven states and inputs. The results indicate that the container service cycle, when compiled and tested with FSA using predetermined inputs, can generate containers according to user-selected specifications. As a result, the implementation of an automated and self-service model is proposed to reduce delivery time and mitigate potential errors in the container-as-a-service (CaaS) offering.","PeriodicalId":435683,"journal":{"name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135462180","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

Scrum Maturity Level Evaluation and Improvement Recommendation: Case Study on ABC Application Scrum成熟度等级评估与改进建议:ABC应用案例研究

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Pub Date : 2023-10-06 DOI: 10.29207/resti.v7i5.5134

Alcredo Simanjuntak, None Eko K. Budiardjo, None Kodrat Mahatma

{"title":"Scrum Maturity Level Evaluation and Improvement Recommendation: Case Study on ABC Application","authors":"Alcredo Simanjuntak, None Eko K. Budiardjo, None Kodrat Mahatma","doi":"10.29207/resti.v7i5.5134","DOIUrl":"https://doi.org/10.29207/resti.v7i5.5134","url":null,"abstract":"Bank XYZ, one of the digital banking in Indonesia, has a digital product ABC for customers to complete online banking transactions. Bank XYZ uses Scrum as the methodology to develop ABC. Several problems were found in the process related to the delay in the release process. The achievement of sprint goals from May to December 2021 is only 6%. This fact allegedly caused some frequent release delays. To resolve the root causes, mixed-method research was conducted to provide recommendations for improving the implementation of Scrum. The Scrum Maturity Model questionnaires were distributed to several Scrum teams, followed by interviews with several roles that were used to validate the results. The key process area rating formula of the Agile maturity model was used to decide the maturity level. After the maturity level result was obtained, recommendation practices were generated from the not well-implemented practice. This case-based research shows that Bank XYZ reached maturity level 2 for ABC development. Bank XYZ has implemented 78 out of 79 practices, however, 28 practices need improvement and one practice needs to be applied. Objectives of maturity levels group recommendation practices. The combination of Scrum best practices and empirical practices from previous research generated those practices. This research was intended to give general recommendations on how to improve Scrum implementation and on how to resolve release time problems by enhancing Scrum in Bank XYZ empirically.","PeriodicalId":435683,"journal":{"name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135303812","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

Disease Detection on Rice Leaves through Deep Learning with InceptionV3 Method 基于InceptionV3方法的深度学习水稻叶片病害检测

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Pub Date : 2023-10-05 DOI: 10.29207/resti.v7i5.4344

None Aria Maulana, None Muhammad Rivaldi Asyhari, None Yufis Azhar, None Vinna Rahmayanti Setyaning Nastiti

{"title":"Disease Detection on Rice Leaves through Deep Learning with InceptionV3 Method","authors":"None Aria Maulana, None Muhammad Rivaldi Asyhari, None Yufis Azhar, None Vinna Rahmayanti Setyaning Nastiti","doi":"10.29207/resti.v7i5.4344","DOIUrl":"https://doi.org/10.29207/resti.v7i5.4344","url":null,"abstract":"The rate of growth in the agricultural sector in Indonesia puts pressure on people who work as farmers to maintain and improve the quality of agriculture. Rice, which is one of the basic needs of the community, is currently in high demand. Therefore, the need for rice continues to increase year by year with the increase in the population of Indonesia. To maintain the quality and quantity of rice, it is necessary to continuously monitor which for developing countries, there are limited tools and costs to develop technology to deal with problems of maintaining rice quality, especially diseases in rice. Rice disease is influenced by various factors, some of which are season, weather, temperature, media, availability of water sources, etc. The purpose of this research is to prevent diseases from spreading and spreading in rice by making disease detectors in rice using a deep learning approach using the InceptionV3 method. There are four classes of rice diseases diagnosed, namely bacterial blight, blast, brown spot, and tungro. The total loaded data set is 5932 images used in this study. The InceptionV3 model used can learn hidden patterns in the image thanks to CNN transfer learning method technology with an accuracy of 97.47%. The results show that InceptionV3 can be one of the choices of various existing CNN methods due to its accuracy.","PeriodicalId":435683,"journal":{"name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134948120","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

A Comprehensive Bibliometric Analysis of Deep Learning Techniques for Breast Cancer Segmentation: Trends and Topic Exploration (2019-2023) 深度学习技术用于乳腺癌分割的综合文献计量分析:趋势和主题探索(2019-2023)

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Pub Date : 2023-10-05 DOI: 10.29207/resti.v7i5.5274

None Agus Perdana Windarto, None Anjar Wanto, None S Solikhun, None Ronal Watrianthos

{"title":"A Comprehensive Bibliometric Analysis of Deep Learning Techniques for Breast Cancer Segmentation: Trends and Topic Exploration (2019-2023)","authors":"None Agus Perdana Windarto, None Anjar Wanto, None S Solikhun, None Ronal Watrianthos","doi":"10.29207/resti.v7i5.5274","DOIUrl":"https://doi.org/10.29207/resti.v7i5.5274","url":null,"abstract":"The objective of this study is to perform a comprehensive bibliometric analysis of the existing literature on breast cancer segmentation using deep learning techniques. Data for this analysis were obtained from the Web of Science Core Collection (WOS-CC) that spans from 2019 to 2023. The study is based on a comprehensive collection of 985 documents that cover a substantial body of research findings related to the application of deep learning techniques in segmenting breast cancer images. The analysis reveals an annual increase in the number of published works at a rate of 16.69%, indicating a consistent and robust increase in research efforts during the specified time frame. Examining the occurrence of keywords from 2019 to 2023, it is evident that the term \"convolutional neural network\" exhibited a notable frequency, reaching its peak in 2021. However, the term \"machine learning\" demonstrated the highest overall frequency, peaking around 2021 as well. This emphasizes the importance of machine learning in the advancement of image segmentation algorithms and convolutional neural networks, which have shown exceptional effectiveness in image analysis tasks. Furthermore, the utilization of latent Dirichlet Allocation (LDA) to identify topics resulted in a relatively uniform distribution, with each topic having an equivalent number of abstracts. This indicates that the data set encompasses a diverse range of topics within the field of deep learning as it relates to breast cancer image segmentation. However, it should be noted that topic 4 has the highest level of significance, suggesting that the application of deep learning for diagnosis was extensively explored in this study.","PeriodicalId":435683,"journal":{"name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134948122","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

Employee Education and Training Recommendations using the Apriori Algorithm 基于Apriori算法的员工教育与培训建议

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Pub Date : 2023-10-01 DOI: 10.29207/resti.v7i5.4973

None Arief Wibowo, None Vasthu Imaniar Ivanoti, None Megananda Hervita Permata Sari

{"title":"Employee Education and Training Recommendations using the Apriori Algorithm","authors":"None Arief Wibowo, None Vasthu Imaniar Ivanoti, None Megananda Hervita Permata Sari","doi":"10.29207/resti.v7i5.4973","DOIUrl":"https://doi.org/10.29207/resti.v7i5.4973","url":null,"abstract":"The Ministry of Finance (MoF) aims to enhance employee performance through suitable education and training opportunities. Based on the data on the implementation of education and training in 2022 in the MoF Central ICT Department, only 27.35% of the employees participated in education and training according to the proposed needs for both positions and individuals. This is partly due to mandatory training that must be attended by some or all employees, urgent needs in the current year, or substitute participants who are not from the same team or function. To address this issue, the association method of data mining techniques can be utilized to analyze historical data of employees. The study used the a priori algorithm to analyze historical data on employee positions, organizations, and education and training from 2011 to 2021. This research involved comparing various minimum support values, assuming that employees attended at least 2, 3, and 4 training courses, to calculate the corresponding minimum support values. The evaluation results of the model show that the best rules are generated with a minimum support value of 0.013 and a minimum confidence value of 0.6, which is a total of 10 rules. One of the training recommendations is that if an employee has taken the Enterprise Service Bus (ESB)-API Management training, they will take the ESB API Integration Platform training. Furthermore, it can be used by the Human Resources Unit to provide education and training aligned with organizational needs and improve employee competency in line with their duties and functions, leading to better overall organizational performance.","PeriodicalId":435683,"journal":{"name":"Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134934823","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