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Improved Mask R-CNN And Cosine Similarity Using RGBD Segmentation For Occlusion Handling In Multi Object Tracking
In this study, additional depth images were used to enrich the information in each image pixel. Segmentation, by its nature capable to process image up to pixel level. So, it can detect up to the
smallest part of the object, even when it’s…
smallest part of the object, even when it’s…
IMPROVEMENT OF HR PERFORMANCE BY A WORKING CONDITION APPROACH, AND WORK CONTENT WITH DISCIPLINE AS
AN INTERVENTION VARIABLE
(Case Study of The Department of Tourism Subo Suko Wono Sraten/Solo Raya)
A good organization is an organization that seeks to improve its human resource capabilities, because it is a main factor for improving performance. The important things that need to be considered include; Safe, profitable and satisfactory working…
Improving AI Text Recognition Accuracy with Enhanced OCR For
Automated Guided Vehicle
AGV (Automated Guided Vehicle) with artificial intelligence (AI) is expected to change the industry's development in Indonesia,
this artificial intelligence robot uses a mini-computer to operate it and uses mechanical movement like a four-wheeled…
this artificial intelligence robot uses a mini-computer to operate it and uses mechanical movement like a four-wheeled…
IMPROVING BUSINESS PERFORMANCE USING FINANCIAL PLANNING TOWARD PLUS-SIZE FASHION BUSINESS
Indonesian as one of the countries that accept globalization. Indonesian economic development plans make the development of creative industries like one of the main priorities. The problem arises that some industry players cannot harness the…
Improving Classification Performance on Imbalance Medical Data using Generative Adversarial Network
In many real-world applications, the problem of data imbalance is a common challenge that
significantly affects the performance of machine learning algorithms. Data imbalance means each
target of classes is not balanced. This problem often…
significantly affects the performance of machine learning algorithms. Data imbalance means each
target of classes is not balanced. This problem often…
IMPROVING EMPLOYEE JOB SATISFACTION: DO TRANSFORMATIONAL LEADERSHIP AND ORGANIZATIONAL CULTURE MATTER?
This study aims to validate the determinants of employee job satisfaction in the hospitality industry. A quantitative approach with a questionnaire was used as a data collection tool that was distributed to 240 five-star hotel employees. The data…
IMPROVING EMPLOYEE PERFORMANCE THROUGH ORGANIZATIONAL
COMMITMENT WITH JOB SATISFACTION AS A MEDIATING VARIABLE
This study aims to understand how job satisfaction plays a critical role in
mediating the relationship between organizational commitment and employee
performance. In this study, quantitative research methods were used. Data were
collected with the…
mediating the relationship between organizational commitment and employee
performance. In this study, quantitative research methods were used. Data were
collected with the…
IMPROVING INTERNAL AUDIT QUALITY THROUGH SELF EFFICACY AND
PROFESSIONAL ETHICS WITH TOP MANAGEMENT SUPPORT AS A
MODERATION VARIABLE
This research aims to empirically analyze Internal Audit Quality Improvement
through Self Efficacy and Professional Ethics with Top Management Support as
a Moderating Variable. The population in this study are all auditors who work
for state-owned…
through Self Efficacy and Professional Ethics with Top Management Support as
a Moderating Variable. The population in this study are all auditors who work
for state-owned…
Improving IT Assets Management with ITIL 4 Framework
IT Asset Management (ITAM) is crucial for organizations as it enables efficient utilization of IT
resources, cost reduction, and risk mitigation. Horangi, a startup company, recognizes the importance of asset optimization and aims to enhance its…
resources, cost reduction, and risk mitigation. Horangi, a startup company, recognizes the importance of asset optimization and aims to enhance its…
Improving Multi-label Classification Performance on Imbalanced Datasets Through SMOTE Technique and Data Augmentation Using IndoBERT Model
Sentiment and emotion analysis is a common classification task aimed at enhancing the benefit and comfort of consumers of a product. However, the data obtained often lacks balance between each class or aspect to be analyzed, commonly known as an…