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Human-Computer Interaction, Optimization and Robotic Applications (HORA), International Congress on

作者： Daniel Schneider Marcos Antonio De Almeida Ramon Chaves Benjamim Fonseca Hesam Mohseni António Correia Postgraduate Program in Informatics (PPGI) Federal University of Rio de Janeiro Rio de Janeiro Brazil Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil INESC TEC and University of Trás-os-Montes e Alto Douro Vila Real Portugal Faculty of Information Technology University of Jyväskylä Jyväskylä Finland

ISBN: (数字)9798331510886

ISBN: (纸本)9798331510893

Interest in artificial intelligence (AI)-driven crowd work has increased during the last few years as a line of inquiry that expands upon prior research on microtasking to represent a means of scaling up complex tasks through AI mediation. Despite the increasing attention to the macrotask phenomenon in crowdsourcing, there is a need to understand the processes, elements, and constraints underlying the infrastructural and behavioral aspects in such form of crowd work when involving collaboration. To this end, this paper provides a first attempt to characterize some of the research conducted in this direction to identify important paths for an agenda comprising key drivers, challenges, and prospects for integrating human-centered AI in collaborative crowdsourcing environments.

关键词： Crowdsourcing Human computer interaction Collaboration Artificial intelligence Mediation Robots Optimization

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Development of location suitability prediction for health facilities using random forest machine learning in 2030 integrating remote sensing and GIS in West Java, Indonesia

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Environmental Advances 2025年 19卷

作者： Virtriana, Riantini Ihsan, Kalingga Titon Nur Anggraini, Tania Septi Deliar, Albertus Harto, Agung Budi Riqqi, Akhmad Sakti, Anjar Dimara Remote Sensing and GIS Research Group Faculty of Earth Science and Technology Bandung Institute of Technology Bandung 40132 Indonesia Center for Remote Sensing Bandung Institute of Technology Bandung 40132 Indonesia Doctor Program in Program Study of Geodesy and Geomatic Engineering Faculty of Earth Sciences and Technology Bandung 40132 Indonesia Geographic Information Science Universitas Pendidikan Indonesia Bandung 40111 Indonesia Center for Spatial Data Infrastructure Bandung Institute of Technology Bandung 40132 Indonesia

Access to healthcare facilities is crucial in the present day. Healthcare facilities must be proportional to the population in a given area. Therefore, it is important to increase the number of healthcare facilities in regions where there is an imbalance. Proper planning and a sustainability review are necessary when determining locations for healthcare facilities. Environmental changes can affect the suitability of a location in the future. Thus, planning that can predict future suitability conditions is required to ensure that the built locations have high sustainability. This study predicts the suitability of healthcare facility locations in 2030 in West Java using remote sensing and Geographic information System (GIS). Both static and dynamic data processed at 30×30 meter intervals across West Java will be used. Geospatial and remote sensing data are utilized in the study. Dynamic parameter extrapolation uses data from 2000 to 2018. The random forest machine learning method is employed to obtain the suitability values for healthcare facility locations using existing health facility training data in West Java. The results show changes in the suitability classes of healthcare facilities in each region from 2018 to 2030, with some areas experiencing an increase or decrease in class. This research highlights consistently suitable locations, ensuring their sustainability as healthcare facility sites. © 2024

关键词： GIS Health Facility Machine Learning Remote Sensing

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Optimizing Menu Bundling Strategies Through Apriori Algorithm in Sales Analysis 4

Optimizing Menu Bundling Strategies Through Apriori Algorith...

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4th International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2024

作者： Tama, Ahmad Sambang Setya Hamami, Faqih Adi, Taufik Nur Telkom University Information Systems Study Program Faculty of Industrial Engineering Bandung Indonesia

ISBN: (纸本)9798331506490

Indonesia, as one of the largest coffee producers and exporters in the world, has experienced significant growth in the number of coffee shops, driven by increasing consumer demand for ready-to-drink coffee. This study aims to enhance sales performance at Authen Café and Space through the implementation of a menu bundling strategy. By utilizing data mining techniques and the Apriori algorithm, customer purchasing patterns were analyzed to identify optimal menu combinations. The data was collected directly at Authen Cafe during the period from April to August 2028. The analysis revealed that bundling strategies, such as combining Ayam Rica-Rica with Es Kopi Susu Karamel, are effective in increasing sales volume and product popularity among consumers. Furthermore, this study evaluated the impact of offering discounts on bundled packages on the café's profitability, demonstrating that this approach can boost net profit without sacrificing profit margins. This research provides significant insights into the application of data-driven marketing strategies within the café'industry and offers guidance for more effective managerial decision-making. © 2024 IEEE.

关键词： Profitability

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Application of the K-Medoids Clustering Model and Borda Decision Group in Viewing Flood Area Groupings in North Aceh Regency

Application of the K-Medoids Clustering Model and Borda Deci...

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2023 International Workshop on Artificial Intelligence and Image Processing, IWAIIP 2023

作者： Fuadi, Wahyu Sahputra, Ilham Fariadi, Dedi Agustinar Universitas Malikussaleh Informatics Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Information Systems Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Electrical Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia

ISBN: (纸本)9798350382914

The importance of the K-Medoid model in viewing disaster-prone areas in each sub-district in North Aceh. The advantage of the k-medoid model results is that it has better cluster centers than other models. The novelty of this research is the cluster results are assessed by each decision maker using the Borda group model in providing flood disaster assistance or areas that are a priority for handling, which are included in the flood-prone cluster. Therefore, this research is important because it can be used to identify areas most severely affected by flooding. This research aims to analyze and identify the impact of flood hazards based on grouping and decision-making using the Borda group model in each sub-district in North Aceh. The results of the k-medoids model show 3 clusters that can see potential areas for flood disasters, namely very vulnerable. There are six sub-districts. For the k-medoids results, ten sub-districts are vulnerable. Lastly, the safe zones are 11 sub-districts. This research's k-medoid model analysis is more precise in seeing clusters of places that are potentially affected by flooding based on spatial maps of their nearest neighboring areas. The percentage of each cluster is as follows: Cluster 1 is 4%, Cluster 2 is 55%, and Cluster 3 is 41%. The k-medoid model provided this result after three iterations, with a closeness difference of 1.594510537. The results of the Borda model group research can be used as a recommendation for the areas that receive the highest priority in disaster management. © 2023 IEEE.

关键词： Floods

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Web-Based Incentive Calculations System at CV Karya Prima using Prototyping Method 7

Web-Based Incentive Calculations System at CV Karya Prima us...

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7th International Conference on New Media Studies, CONMEDIA 2023

作者： Cornelia, Monica Suryasari Universitas Multimedia Nusantara Information Systems Study Program Faculty of Engineering and Informatics Tangerang Indonesia

ISBN: (纸本)9798350307504

Consumption is an essential aspect of daily life, and fulfilling customer needs requires efficient distribution of goods. Therefore, distributors are needed and they frequently set targets for their employees to achieve, and motivation plays a significant role in employee performance. An organization that distributes goods called CV Karya Prima motivates its employees by offering incentives. However, manual incentive calculation sets out problems such as a lack of progress tracking, irregular payout dates, and probable inaccuracies. This study aims to develop a web-based incentive calculation system using the analytical hierarchy process method and a database for data retrieval. The system utilizes PHP, CodeIgniter, and MySQL and adopts the SDLC prototyping method. The developed system is focused on the sales division and variables like total sales, effective calls, calls, and outlets. The web-based system is capable of solving the issues using the features that were built based on user needs and have already been tested through user acceptance testing. © 2023 IEEE.

关键词： Websites

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Fuzzy C-means Cluster Pattern Analysis and Ward Model Mapping in Viewing the Growth of Infectious and Non-Infectious Diseases Children in North Aceh

Fuzzy C-means Cluster Pattern Analysis and Ward Model Mappin...

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2023 International Workshop on Artificial Intelligence and Image Processing, IWAIIP 2023

作者： Mauliza, Mauliza Ula, Mutammimul Sahputra, Ilham Afdelina, Rosya Universitas Malikussaleh Medical Education Study Program Faculty of Medicine Lhokseumawe Indonesia Universitas Malikussaleh Information Systems Study Program Faculty of Engineering Lhokseumawe Indonesia

ISBN: (纸本)9798350382914

The problems and challenges for the government in seeing disease growth trend patterns are very important. This research focuses on infectious diseases, namely Dengue Hemorrhagic Fever (DHF), while non-communicable illnesses focus on epilepsy and thalassemia in 2023-2024. The priority in this research is that the Health Service can take action to prevent disease distribution patterns that are seen based on the results of identifying patterns and trends using the fuzzy c-means model and mapping for each region. The research methodology includes collecting patient data, inputted by recorded medical data consisting of sub-district data and the number of incidents. The research results of the Fuzzy C-means model in analyzing infectious disease trend patterns show 3 clusters. The first cluster of vulnerable areas has four sub-districts: Sawang, Syamtalira Bayu, Dewantara and Muara Batu. Then, the second cluster still consists of 18 sub-districts. Finally, the safe cluster consists of 8 sub-districts. Meanwhile, the results of the ward model research showed that there were 2 clusters, namely vulnerable consisting of 19 sub-districts and safe eight sub-districts, which were then included in the spatial map. Meanwhile, analysis of non-communicable disease patterns using fuzzy c-means, namely thalassemia and epilepsy in cluster C1 (High) in 4 and 7 sub-districts, medium cluster in 9 and 7, and low cluster in 14 and 16 sub-districts. Therefore, this research can provide an important picture for the Health Service in analyzing trends in cluster patterns of growth of infectious and non-communicable diseases in children. © 2023 IEEE.

关键词： Diseases

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Determination of an implementation order for IS projects

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information & MANAGEMENT 1996年第2期31卷 67-74页

作者： Shoval, P Giladi, R Information Systems Program Department of Industrial Engineering and Management Faculty of Engineering Sciences Ben-Gurion University of the Negev Beer-Sheva 84105 Israel

The process of information systems (IS) planning in an organization occurs when there is a set of IS projects that require implementation, generally within certain time frames and budgetary constraints. We propose a method for determining an optimal order of project implementation. The proposed method utilizes the cost-benefit graph, which considers the expected cost and benefit of each of the projects comprising the set, as well as the weight (importance) of the cost and benefit factors to the decision-makers. The method allows us to analyze the sensitivity of a preferred implementation order to changes in cost and benefits, and the importance of these factors.

关键词： cost-benefit analysis cost-benefit graph decision-making process information systems planning and selection project management

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Method for modelling the number of HIV and AIDS cases using least square spline Biresponse nonparametric negative binomial regression

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MethodsX 2025年 14卷 103336页

作者： Ramadan, Arip Chamidah, Nur Budiantara, I Nyoman Lestari, Budi Aydin, Dursun Doctoral Study Program of Mathematics and Natural Sciences Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia Information System Study Program Department of Industrial and System Engineering Telkom University Surabaya Campus Surabaya 60231 Indonesia Department of Mathematics Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia Research Group of Statistical Modeling in Life Science Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia Statistics Department Faculty of Science and Data Analytics Sepuluh Nopember Institute of Technology Surabaya 60111 Indonesia Department of Mathematics Faculty of Mathematics and Natural Sciences The University of Jember Jember 68121 Indonesia Department of Statistics Faculty of Science Muğla Sıtkı Koçman University Muğla 48000 Turkey Research Scholar at Department of Mathematics University of Wisconsin Oshkosh Algoma Blvd Oshkosh 54901 WI United States

We propose a new statistical modeling method to analyze functional relationship between predictor variables and correlated response variables, and apply it for modeling the number of HIV and AIDS cases influenced by early-age marriages and contraceptive users. The proposed method is LS-Spline BNNBR that is a Biresponse Nonparametric Negative Binomial Regression (BNNBR) based on least squares spline (LS-Spline). To validate the proposed method, we compare it with classical method, namely Ordinary Least Square Biresponse Parametric Negative Binomial Regression (OLS-BPNBR). The results show that the LS-Spline BNNBR method provided deviance value of 7.542334 which is smaller than that of OLS-BPNBR method, namely 7.993935. Thus, the proposed method has better prediction fit than the classical method. • This study discusses new statistical modeling method for the number of HIV and AIDS cases influenced by early-age marriages and contraceptive users where the response variables are correlated with each other. • The model estimation results show that the number of HIV and AIDS cases in Indonesia will decrease if the early-age marriages percentage increases and the contraceptive users percentage decreases. • The results are useful to provide a scientific basis for making policies to control the number of HIV and AIDS cases in Indonesia. © 2025 The Authors

关键词： AIDS BLSSNNBR model Contraceptive user Early-age marriage HIV Least square spline

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Android-Based Lecturer Workload Simulation Application 2

Android-Based Lecturer Workload Simulation Application

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2nd International Conference on Computer Science and engineering Technology, ICCSET 2019

作者： Triyanto, Wiwit Agus Study Program of Information System Engineering Faculty Muria Kudus University Indonesia

In carrying out their duties, lecturers must conduct Tri dharma education activities which include teaching, research and service according to their respective fields of science. Every tri dharma activity carried out must be reported once every semester in the form of a lecturer workload *** number of activities contained in the rubric makes many lecturers experience confusion to calculate how the credit performance in the Tridharma activities carried out. Therefore, it is necessary to have a simulation application that helps the calculation of credit performance of Tridharma activities in accordance with the BKD rubric. The lecturer workload simulation application can help lecturers to calculate credits for the Tridharma activities that have been carried out. The lecturer workload simulation application can also provide information on what physical evidence needs to be prepared by the lecturer. © Published under licence by IOP Publishing Ltd.

关键词： Android (operating system)

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Player's score achievement schema using combination of experience point and educational-credit in HajjGame

Player's score achievement schema using combination of exper...

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International Conference on information and Communication Technology for The Muslim World

作者： Ardhian Agung, Y. Arief Syaichu, R. Aciek Ida, W. Information System Study Program Engineering Faculty Andalas University Padang Indonesia

ISBN: (纸本)9789791948913

One of games used as educational media is in hajj learning since Indonesia is well known as a country with the biggest hajj pilgrims every year. This research developes a HajjGame that provides a series of phase of the Hajj. HajjGame is adapted from the role playing game (RPG). RPG is a game genre with the story flows using agents as individual characters representative players equipped by certain tools, action/skill and ability to manage resources also ability to complete a special mission. One of the units of agent achievement in the RPG is experience point (XP) that is usually given after defeating enemies, collecting resources, or completing a challenge. So, the statistical ability for agents will increase, such as the status of health or adding new skills. Goal of this research is to measure the player achievement score combine with the educational credit based on Hajj phase. Player will get a credit accumulation/points after completing a task of learning. In this case, the task of learning is Hajj manasik that divide into 6 stages: Ihrom, Mabit in Mina, 'Arafah, Muzdalifah, throw Jamarat, Thawaf in Masjidil Haram and Sai. Each stage of Hajj will have detail actions that must be passed by an agent and will have educational credit (EC) points. Result from this research shows that a combination of XP and educational-credit on increasing learning and scoring as player's achievement. The challenge for the players will still available and the ability to understand the phase of the Hajj will be obtained. © 2010 IEEE.

关键词： Hajj perform educational credit educational game experience point score achievement Players Experimental Games Educational Media schema Indonesia experience

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