Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872659
F. I. Maulana, M. A. Febriantono, Miftahul Hamim, Bayu Ramadhani Fajri, Rahman Arifuddin
Big Data and Artificial Intelligence (BD&AI) in Industry have grown so prevalent, and the potential they provide is so revolutionary that they are seen as critical for competitive growth. Because the number of organizations BD&AI on Industry technology is increasing exponentially, so is the need for BD&AI on Industry practitioners. Until we conducted this research, only 1399 academic documents on BD&AI in Industry found from 2002 to 2020 were obtained by searching the Scopus database. BD&AI in the industrial sector is examined in-depth in this paper. This study uses bibliometric analysis and indexed digital methods to map scientific publications worldwide. This study uses the Scopus database to collect information and online analysis via the Scopus website and VOSViewer to demonstrate bibliometric network mapping. We use the article selection process, starting with the keywords to be searched for, the year limitation, then the database is exported into RIS and CSV format files. From the database, we also perform network mapping using VOSViewer. Researchers in China have the most articles published and indexed by Scopus among the most prolific authors (373), followed by the United States (239) and India with 125 academic publications. Data analysis reveals an upward trend in the number of worldwide publications in BD&AI in Industry, as measured by the Scopus index.
工业中的大数据和人工智能(BD&AI)已经变得如此普遍，它们提供的潜力是如此具有革命性，以至于它们被视为竞争增长的关键。由于BD&AI on Industry技术的组织数量呈指数级增长，因此对BD&AI on Industry从业人员的需求也呈指数级增长。在我们进行这项研究之前，通过搜索Scopus数据库，仅获得2002年至2020年在Industry中发现的1399篇关于BD&AI的学术论文。本文对工业部门的BD&AI进行了深入的研究。本研究使用文献计量学分析和索引数字方法来绘制全球科学出版物地图。本研究使用Scopus数据库收集信息，并通过Scopus网站和VOSViewer进行在线分析，演示文献计量学网络映射。我们使用文章的选择过程，从要搜索的关键词，年份限制开始，然后将数据库导出为RIS和CSV格式的文件。从数据库中，我们还使用VOSViewer执行网络映射。在最多产的作者中，中国的研究人员发表和被Scopus索引的文章最多(373篇)，其次是美国(239篇)和印度(125篇)。数据分析显示，根据Scopus指数衡量，BD&AI在工业领域的全球出版物数量呈上升趋势。
{"title":"Scientometric Analysis in the Field of Big Data and Artificial Intelligence in Industry","authors":"F. I. Maulana, M. A. Febriantono, Miftahul Hamim, Bayu Ramadhani Fajri, Rahman Arifuddin","doi":"10.1109/ICISIT54091.2022.9872659","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872659","url":null,"abstract":"Big Data and Artificial Intelligence (BD&AI) in Industry have grown so prevalent, and the potential they provide is so revolutionary that they are seen as critical for competitive growth. Because the number of organizations BD&AI on Industry technology is increasing exponentially, so is the need for BD&AI on Industry practitioners. Until we conducted this research, only 1399 academic documents on BD&AI in Industry found from 2002 to 2020 were obtained by searching the Scopus database. BD&AI in the industrial sector is examined in-depth in this paper. This study uses bibliometric analysis and indexed digital methods to map scientific publications worldwide. This study uses the Scopus database to collect information and online analysis via the Scopus website and VOSViewer to demonstrate bibliometric network mapping. We use the article selection process, starting with the keywords to be searched for, the year limitation, then the database is exported into RIS and CSV format files. From the database, we also perform network mapping using VOSViewer. Researchers in China have the most articles published and indexed by Scopus among the most prolific authors (373), followed by the United States (239) and India with 125 academic publications. Data analysis reveals an upward trend in the number of worldwide publications in BD&AI in Industry, as measured by the Scopus index.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126050740","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9873086
Fatma Kurnia Febrianti, M. Saputra, Warih Puspitasari
Along with revenue, one of the necessary metrics in calculating gross profit for profitability analysis is Cost of Goods Sold (COGS). The objective of measuring profitability with gross profit is to reckon how efficient an enterprise manages the labors and supplies in carrying out the production process or services provision. In allocating COGS for product profitability analysis, Activity-Based Costing (ABC) is a costing technique that allows cost allocation based on the activities carried out in the production process. Companies from various industries have adopted ABC with available supporting tools like ERP system. This paper will discuss a case study of a telecommunications company in Indonesia that implements SAP S/4HANA for the cost allocation with ABC and profitability analysis processes. The company still faces shortcomings in its daily business operation, particularly profitability analysis reporting. The current COGS report for profitability analysis in the implemented system does not provide information about the source of the cost allocation, thus causing it hard to trace and further analyze the cost of activities contributing to the production of a product. Report customization can be a solution to accommodate the information needed. This research explains the designing of report customization with ABAP List Viewer (ALV) by applying iterative incremental model approach. Customization of the report reduces the steps needed to trace and analyze business process sources from the allocated COGS of a product to only one single step. The results presented in this paper may provide a solution for tracing cost allocation sources to analyze and determine the proper course of action regarding profitability and cost management.
{"title":"COGS Report Customization Design for Profitability Analysis with ABAP List Viewer: Case Study of a Telecommunication Enterprise","authors":"Fatma Kurnia Febrianti, M. Saputra, Warih Puspitasari","doi":"10.1109/ICISIT54091.2022.9873086","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9873086","url":null,"abstract":"Along with revenue, one of the necessary metrics in calculating gross profit for profitability analysis is Cost of Goods Sold (COGS). The objective of measuring profitability with gross profit is to reckon how efficient an enterprise manages the labors and supplies in carrying out the production process or services provision. In allocating COGS for product profitability analysis, Activity-Based Costing (ABC) is a costing technique that allows cost allocation based on the activities carried out in the production process. Companies from various industries have adopted ABC with available supporting tools like ERP system. This paper will discuss a case study of a telecommunications company in Indonesia that implements SAP S/4HANA for the cost allocation with ABC and profitability analysis processes. The company still faces shortcomings in its daily business operation, particularly profitability analysis reporting. The current COGS report for profitability analysis in the implemented system does not provide information about the source of the cost allocation, thus causing it hard to trace and further analyze the cost of activities contributing to the production of a product. Report customization can be a solution to accommodate the information needed. This research explains the designing of report customization with ABAP List Viewer (ALV) by applying iterative incremental model approach. Customization of the report reduces the steps needed to trace and analyze business process sources from the allocated COGS of a product to only one single step. The results presented in this paper may provide a solution for tracing cost allocation sources to analyze and determine the proper course of action regarding profitability and cost management.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132323638","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872850
Fulki Firdaus, Anggit Hapsari, Hilman Fauzi, I. Shapiai, Yunendah Fua’Dah
Stroke is one of the cerebrovascular health disorders caused by a blockage of blood flow to the brain. Data from South East Asian Medical Information Center (SEAMIC) explain that the most significant stroke mortality occurred in Indonesia, Philippines, Singapore, Brunei, Malaysia, and Thailand. There are several methods for diagnosing stroke, one of which is an electroencephalograph (EEG). EEG is one of the more widely used BCI methods due to its lower price, portability, ease of use, and high temporal resolution than other methods. Most EEG require signals from various places on the scalp to achieve good performance. However, using a large number of channels can degrade signal performance in the EEG. Spatial selection can be used for channel selection in the EEG stroke signal which can then be useful for evaluation of stroke therapy. Therefore, this study will select the optimized channel using the spatial selection method to see which channels are relevant to the EEG stroke signal. Also, using the Power Spectral Density extraction feature and Extreme Learning Machine classification. The L2-norm energy calculation method gets better results than other methods. This method can also select the active channel relevant to the stroke EEG signal. The results show that the spatial selection method can increase accuracy by 15 percent and optimize the system with 37.5 percent channel reductions.
{"title":"Spatial Selection Configuration on EEG Stroke Signal","authors":"Fulki Firdaus, Anggit Hapsari, Hilman Fauzi, I. Shapiai, Yunendah Fua’Dah","doi":"10.1109/ICISIT54091.2022.9872850","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872850","url":null,"abstract":"Stroke is one of the cerebrovascular health disorders caused by a blockage of blood flow to the brain. Data from South East Asian Medical Information Center (SEAMIC) explain that the most significant stroke mortality occurred in Indonesia, Philippines, Singapore, Brunei, Malaysia, and Thailand. There are several methods for diagnosing stroke, one of which is an electroencephalograph (EEG). EEG is one of the more widely used BCI methods due to its lower price, portability, ease of use, and high temporal resolution than other methods. Most EEG require signals from various places on the scalp to achieve good performance. However, using a large number of channels can degrade signal performance in the EEG. Spatial selection can be used for channel selection in the EEG stroke signal which can then be useful for evaluation of stroke therapy. Therefore, this study will select the optimized channel using the spatial selection method to see which channels are relevant to the EEG stroke signal. Also, using the Power Spectral Density extraction feature and Extreme Learning Machine classification. The L2-norm energy calculation method gets better results than other methods. This method can also select the active channel relevant to the stroke EEG signal. The results show that the spatial selection method can increase accuracy by 15 percent and optimize the system with 37.5 percent channel reductions.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131502905","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872924
Ilham Ramli, L. Sanny
The games business is quickly expanding both globally and in Indonesia, resulting in significant revenue, with Mobile Legends being one of the most popular. One way for a game to make money is through offering in-app features, which Mobile Legends does as well The goal of this study is to determine the impact of addiction, perceived value (which consist perceived playfulness, perceived flexibility, perceived connectedness, perceived reward, loyalty to Mobile Legends, and purchase intention in Mobile Legends), and loyalty to Mobile Legends on purchase intention. Based on respondent data acquired through questionnaires, this study is analyzed using PLS-SEM with SmartPLS. This was accomplished through purposive sample of Mobile Legends players that actively play the game nearly every day (every day or every two days), have never purchased in-game stuff, and intend to purchase in-game things. Addiction has a big impact on loyalty, but not on purchase intention. Apart from perceived flexibility, almost all criteria in perceived value have a major impact on mobile game loyalty. Only perceived playfulness and loyalty to mobile games have an impact on purchase intention.
{"title":"The Effect of Addiction, Perceived Values and Mobile Game Loyalty on Purchase Intention in Mobile Legends in Indonesia","authors":"Ilham Ramli, L. Sanny","doi":"10.1109/ICISIT54091.2022.9872924","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872924","url":null,"abstract":"The games business is quickly expanding both globally and in Indonesia, resulting in significant revenue, with Mobile Legends being one of the most popular. One way for a game to make money is through offering in-app features, which Mobile Legends does as well The goal of this study is to determine the impact of addiction, perceived value (which consist perceived playfulness, perceived flexibility, perceived connectedness, perceived reward, loyalty to Mobile Legends, and purchase intention in Mobile Legends), and loyalty to Mobile Legends on purchase intention. Based on respondent data acquired through questionnaires, this study is analyzed using PLS-SEM with SmartPLS. This was accomplished through purposive sample of Mobile Legends players that actively play the game nearly every day (every day or every two days), have never purchased in-game stuff, and intend to purchase in-game things. Addiction has a big impact on loyalty, but not on purchase intention. Apart from perceived flexibility, almost all criteria in perceived value have a major impact on mobile game loyalty. Only perceived playfulness and loyalty to mobile games have an impact on purchase intention.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131224813","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}
With the increased popularity of the online game and freemium business model in Indonesia people tend likely to be interested in in-game virtual items purchases. The research on the effect of the perceived value of paid in-game items related to its continued use intention and the user purchase intention. In this study, we analyze data collected with online surveys in the Jabodetabek area in Indonesia. The results show that (1) economic and social value affected both purchase intention and continued use intention but were low significance, (2) perceived quality significantly affected the continued use intention and purchase intention, and (3) an increase in customer used intention also affected the purchase intention.
{"title":"Perceived Value model analysis on Video Games cosmetics Purchase and Continued use intention","authors":"Nico Winata, Daffa Satria Bako, Henkie Ongowarsito, Wildan Razaq Ramadhan","doi":"10.1109/ICISIT54091.2022.9872959","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872959","url":null,"abstract":"With the increased popularity of the online game and freemium business model in Indonesia people tend likely to be interested in in-game virtual items purchases. The research on the effect of the perceived value of paid in-game items related to its continued use intention and the user purchase intention. In this study, we analyze data collected with online surveys in the Jabodetabek area in Indonesia. The results show that (1) economic and social value affected both purchase intention and continued use intention but were low significance, (2) perceived quality significantly affected the continued use intention and purchase intention, and (3) an increase in customer used intention also affected the purchase intention.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"31 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116317634","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9873008
Riswanda Al Farisi, R. Ferdiana, T. B. Adji
Empathy is the process of understanding and reacting to other people emotional expressions that involve cognitive and affective aspects. Empathy in education is very important, because service experiences in student academic services that are emotional and generate student affective responses have an influence on student motivation and academic achievement. Recent advances in artificial intelligence (AI) allow computers to gain the ability to express empathy by analyzing and reacting to user emotional expressions via chatbot conversational agents. Chatbots with human-like cues such as their language style can also affect user emotions. In order for chatbots to have human-like cues, it is necessary to apply the concepts in Human Computer Interaction (HCI) to chatbots. This research will apply one of the concepts in HCI, called Anthropomorphic Design Cues (ADC). Anthropomorphic is an attribution of human characteristics and behavior that is applied to non-human entities such as animals, plants, or technological devices like chatbot. This study will apply two designs from ADC on chatbots, verbal design and non-verbal design. This study will compare the level of empathy between two chatbots with ADC and without ADC. The results showed that based on the results of statistical tests using the Mann Whitney U Test ADC had a significant p-value of 0.000<0.05 on chatbot empathy, so it can be concluded that ADC had a significantly positive effect on increasing chatbot empathy.
移情是理解和反应他人情绪表达的过程，涉及认知和情感方面。移情在教育中是非常重要的，因为学生学习服务中的服务体验是情绪化的，并产生学生的情感反应，对学生的学习动机和学习成绩有影响。人工智能(AI)的最新进展使计算机能够通过聊天机器人会话代理分析和回应用户的情感表达，从而获得表达同理心的能力。聊天机器人的语言风格等类似人类的线索也会影响用户的情绪。为了使聊天机器人具有类似人类的线索，有必要将人机交互(HCI)中的概念应用于聊天机器人。本研究将应用人机交互中的一个概念，称为拟人化设计线索(ADC)。拟人化是一种对人类特征和行为的归因，适用于非人类实体，如动物、植物或聊天机器人等技术设备。本研究将应用ADC对聊天机器人的两种设计，语言设计和非语言设计。本研究将比较两个有ADC和没有ADC的聊天机器人之间的同理心水平。结果表明，基于Mann Whitney U Test的统计检验结果，ADC对聊天机器人共情的p值显著为0.000<0.05，因此可以得出ADC对聊天机器人共情有显著的正向作用。
{"title":"The Effect of Anthropomorphic Design Cues on Increasing Chatbot Empathy","authors":"Riswanda Al Farisi, R. Ferdiana, T. B. Adji","doi":"10.1109/ICISIT54091.2022.9873008","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9873008","url":null,"abstract":"Empathy is the process of understanding and reacting to other people emotional expressions that involve cognitive and affective aspects. Empathy in education is very important, because service experiences in student academic services that are emotional and generate student affective responses have an influence on student motivation and academic achievement. Recent advances in artificial intelligence (AI) allow computers to gain the ability to express empathy by analyzing and reacting to user emotional expressions via chatbot conversational agents. Chatbots with human-like cues such as their language style can also affect user emotions. In order for chatbots to have human-like cues, it is necessary to apply the concepts in Human Computer Interaction (HCI) to chatbots. This research will apply one of the concepts in HCI, called Anthropomorphic Design Cues (ADC). Anthropomorphic is an attribution of human characteristics and behavior that is applied to non-human entities such as animals, plants, or technological devices like chatbot. This study will apply two designs from ADC on chatbots, verbal design and non-verbal design. This study will compare the level of empathy between two chatbots with ADC and without ADC. The results showed that based on the results of statistical tests using the Mann Whitney U Test ADC had a significant p-value of 0.000<0.05 on chatbot empathy, so it can be concluded that ADC had a significantly positive effect on increasing chatbot empathy.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126145489","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872909
Nophaz Hanggara Saputra, A. Wibawa, M. Purnomo, Yuri Pamungkas
Suicide is a global phenomenon that occurs worldwide, including in Indonesia. This is due to complications from high and severe stress because of economic factors, family and environmental problems. High and severe stresses are not only experienced by the individual in a society, but also by government staff such as members of the police. The heavy workload, such as handling demonstrations with high escalation, is one of the factors that cause police members to experience high stress. Psychological assistance and healing such as in-depth interviews and psychological assessment tests have been carried out to map the psychological barriers and stressful conditions of police officers. The use of an Electroencephalogram (EEG) is one of the physiological signals that can be used to measure and recognize stress based on data on human brain activity. This research is exploring stress state by using eeg signal analysis in time domain. The analysis is done based on EEG time-domain features in the theta (4-8Hz), alpha (8-13Hz), and beta (13-30Hz) frequency bands from two different channels, namely F3 and F4 in the 10/20 EEG system. Twenty members of the state police (10 under stress conditions and 10 in normal conditions) are involved in this study. Statistical features such as Mean, Standard Deviation, and Zero Crossing are used to distinguish between stress and normal conditions. The experimental results showed that the Standard Deviation feature on the Alpha subband provided the highest difference in comparing between normal and stress conditions. In the classification of stress and normal conditions using several algorithms, SVM indicates the highest classification accuracy (88.90%), compared to other algorithms such as Random Forest (86.10%), K-NN (77.80%) and Decision Tree (77,80%).
{"title":"EEG-based Statistical Analysis on Determining the Stress Mental State on Police Personnel","authors":"Nophaz Hanggara Saputra, A. Wibawa, M. Purnomo, Yuri Pamungkas","doi":"10.1109/ICISIT54091.2022.9872909","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872909","url":null,"abstract":"Suicide is a global phenomenon that occurs worldwide, including in Indonesia. This is due to complications from high and severe stress because of economic factors, family and environmental problems. High and severe stresses are not only experienced by the individual in a society, but also by government staff such as members of the police. The heavy workload, such as handling demonstrations with high escalation, is one of the factors that cause police members to experience high stress. Psychological assistance and healing such as in-depth interviews and psychological assessment tests have been carried out to map the psychological barriers and stressful conditions of police officers. The use of an Electroencephalogram (EEG) is one of the physiological signals that can be used to measure and recognize stress based on data on human brain activity. This research is exploring stress state by using eeg signal analysis in time domain. The analysis is done based on EEG time-domain features in the theta (4-8Hz), alpha (8-13Hz), and beta (13-30Hz) frequency bands from two different channels, namely F3 and F4 in the 10/20 EEG system. Twenty members of the state police (10 under stress conditions and 10 in normal conditions) are involved in this study. Statistical features such as Mean, Standard Deviation, and Zero Crossing are used to distinguish between stress and normal conditions. The experimental results showed that the Standard Deviation feature on the Alpha subband provided the highest difference in comparing between normal and stress conditions. In the classification of stress and normal conditions using several algorithms, SVM indicates the highest classification accuracy (88.90%), compared to other algorithms such as Random Forest (86.10%), K-NN (77.80%) and Decision Tree (77,80%).","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129447173","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872767
Reza Amelia, Azizah Endrastaty, D. I. Sensuse
As the auditor for the President of the Republic of Indonesia, the Financial and Development Supervisory Agency or abbreviated as BPKP, was charged to give a fast strategic recommendation to the President. Knowledge management (KM) became one of the vital strategies in organizations to improve the quality of recommendations and achieve organizational goals. A survey method was conducted to identify critical success factors (CSF) of KM implementation at BPKP. The structural equation modeling partial least square (SEM-PLS) method was used in this study to implement knowledge management as the latent variable. After that, the research model was described, and all critical success factors were explained clearly because of this research. The study results indicated that the critical success factors of the application of knowledge management are leadership, information technology, and rewards/motivation.
{"title":"Critical Success Factors of Knowledge Management Implementation in BPKP","authors":"Reza Amelia, Azizah Endrastaty, D. I. Sensuse","doi":"10.1109/ICISIT54091.2022.9872767","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872767","url":null,"abstract":"As the auditor for the President of the Republic of Indonesia, the Financial and Development Supervisory Agency or abbreviated as BPKP, was charged to give a fast strategic recommendation to the President. Knowledge management (KM) became one of the vital strategies in organizations to improve the quality of recommendations and achieve organizational goals. A survey method was conducted to identify critical success factors (CSF) of KM implementation at BPKP. The structural equation modeling partial least square (SEM-PLS) method was used in this study to implement knowledge management as the latent variable. After that, the research model was described, and all critical success factors were explained clearly because of this research. The study results indicated that the critical success factors of the application of knowledge management are leadership, information technology, and rewards/motivation.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128286272","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872775
Rahardian Luthfi Prasetyo, S. Wibowo, D. D. Ariananda
In cognitive radio network, spectrum sensing process plays a major role in the detection of unused licensed spectrum, which can later be used by other users that do not possess any license. To the extent of our knowledge, the existing implementations of energy-detection-based spectrum sensing (EDSS) method in GNU Radio and software defined radio are mostly based on the periodogram power spectral density (PSD) estimation instead of the correlogram PSD estimation. In this work, we implement ED-SS method based on both periodogram and correlogram in GNU Radio. We exploit GNU Radio embedded Python block to develop some functionalities that are required to implement the aforementioned method and that currently have not existed in the GNU Radio platform. The developed ED-SS based on both periodogram and correlogram are evaluated both in term of the resulting PSD estimate and detection performance. We found that the PSD estimate based on correlogram has a smaller variation in the frequency domain compared to the one based on periodogram. The detection performance is examined by evaluating the amount of miss detection and false alarm events and we found that the ED-SS based on correlogram has a better detection performance. This can be observed in the receiver operating characteristic plot illustrating the probability of false alarm (Pfa) and the probability of detection (Pd) produced by different threshold value.
{"title":"Study on Periodogram and Correlogram-Based Spectrum Sensing Implementation on GNU Radio","authors":"Rahardian Luthfi Prasetyo, S. Wibowo, D. D. Ariananda","doi":"10.1109/ICISIT54091.2022.9872775","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872775","url":null,"abstract":"In cognitive radio network, spectrum sensing process plays a major role in the detection of unused licensed spectrum, which can later be used by other users that do not possess any license. To the extent of our knowledge, the existing implementations of energy-detection-based spectrum sensing (EDSS) method in GNU Radio and software defined radio are mostly based on the periodogram power spectral density (PSD) estimation instead of the correlogram PSD estimation. In this work, we implement ED-SS method based on both periodogram and correlogram in GNU Radio. We exploit GNU Radio embedded Python block to develop some functionalities that are required to implement the aforementioned method and that currently have not existed in the GNU Radio platform. The developed ED-SS based on both periodogram and correlogram are evaluated both in term of the resulting PSD estimate and detection performance. We found that the PSD estimate based on correlogram has a smaller variation in the frequency domain compared to the one based on periodogram. The detection performance is examined by evaluating the amount of miss detection and false alarm events and we found that the ED-SS based on correlogram has a better detection performance. This can be observed in the receiver operating characteristic plot illustrating the probability of false alarm (Pfa) and the probability of detection (Pd) produced by different threshold value.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127465584","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872669
S. Nudin, B. Warsito, A. Wibowo
Soft skills competencies is a special skill by a person in the field of self-management. This competency is very much needed by higher education in getting a job in the era of industry 4.0 and society 5.0. Analysis of the impact of soft skills competencies is currently not widely carried out, even though the tracer study instrument for higher education already exists. Prediction of graduate readiness to enter the work world is very important for higher education. It is necessary to carry out further analysis in this regard. The focus of this research is to analyze the relationship between soft skills competencies and the absorption of graduates in getting a job before six months using the random forest algorithm. The results of the testing using confusion matrix in the development of this prediction model resulted an accuracy of 64%.
{"title":"Impact of Soft Skills Competencies to predict Graduates getting Jobs Using Random Forest Algorithm","authors":"S. Nudin, B. Warsito, A. Wibowo","doi":"10.1109/ICISIT54091.2022.9872669","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872669","url":null,"abstract":"Soft skills competencies is a special skill by a person in the field of self-management. This competency is very much needed by higher education in getting a job in the era of industry 4.0 and society 5.0. Analysis of the impact of soft skills competencies is currently not widely carried out, even though the tracer study instrument for higher education already exists. Prediction of graduate readiness to enter the work world is very important for higher education. It is necessary to carry out further analysis in this regard. The focus of this research is to analyze the relationship between soft skills competencies and the absorption of graduates in getting a job before six months using the random forest algorithm. The results of the testing using confusion matrix in the development of this prediction model resulted an accuracy of 64%.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130005812","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}
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