2022 1st International Conference on Information System & Information Technology (ICISIT)最新文献

Scientometric Analysis in the Field of Big Data and Artificial Intelligence in Industry 工业大数据和人工智能领域的科学计量分析

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872659

F. I. Maulana, M. A. Febriantono, Miftahul Hamim, Bayu Ramadhani Fajri, Rahman Arifuddin

{"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}

引用次数: 0

COGS Report Customization Design for Profitability Analysis with ABAP List Viewer: Case Study of a Telecommunication Enterprise 使用ABAP列表查看器进行盈利能力分析的COGS报告定制设计:电信企业的案例研究

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9873086

Fatma Kurnia Febrianti, M. Saputra, Warih Puspitasari

{"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}

引用次数: 1

Spatial Selection Configuration on EEG Stroke Signal 脑卒中信号的空间选择配置

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872850

Fulki Firdaus, Anggit Hapsari, Hilman Fauzi, I. Shapiai, Yunendah Fua’Dah

{"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}

引用次数: 0

The Effect of Addiction, Perceived Values and Mobile Game Loyalty on Purchase Intention in Mobile Legends in Indonesia 成瘾、感知价值和手机游戏忠诚度对印尼手机传奇用户购买意愿的影响

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872924

Ilham Ramli, L. Sanny

{"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}

引用次数: 0

Perceived Value model analysis on Video Games cosmetics Purchase and Continued use intention 电子游戏化妆品购买与持续使用意愿的感知价值模型分析

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872959

Nico Winata, Daffa Satria Bako, Henkie Ongowarsito, Wildan Razaq Ramadhan

引用次数: 0

The Effect of Anthropomorphic Design Cues on Increasing Chatbot Empathy 拟人化设计线索对增加聊天机器人共情的影响

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9873008

Riswanda Al Farisi, R. Ferdiana, T. B. Adji

{"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}

引用次数: 3

EEG-based Statistical Analysis on Determining the Stress Mental State on Police Personnel 基于脑电图的公安人员应激心理状态的统计分析

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872909

Nophaz Hanggara Saputra, A. Wibawa, M. Purnomo, Yuri Pamungkas

{"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}

引用次数: 0

Critical Success Factors of Knowledge Management Implementation in BPKP BPKP实施知识管理的关键成功因素

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872767

Reza Amelia, Azizah Endrastaty, D. I. Sensuse

引用次数: 0

Study on Periodogram and Correlogram-Based Spectrum Sensing Implementation on GNU Radio 基于周期图和相关图的GNU无线电频谱感知实现研究

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872775

Rahardian Luthfi Prasetyo, S. Wibowo, D. D. Ariananda

{"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}

引用次数: 0

Impact of Soft Skills Competencies to predict Graduates getting Jobs Using Random Forest Algorithm 软技能胜任力对随机森林算法预测毕业生就业的影响

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872669

S. Nudin, B. Warsito, A. Wibowo

引用次数: 0