Niken Prasasti Martono

Tokyo University of Science | TUS · Department of Industrial Administration

Machine learning has been gradually introduced into corporate financial distress prediction and several prediction models have been developed. Financial distress affects the sustainability of a company’s operations and undermines the rights and interests of its stakeholders, also harming the national economy and society. Therefore, we developed an...

Automatic electrocardiogram (ECG) analysis is crucial in diagnosing heart arrhythmia but is limited by the performance of existing models owing to the high complexity of time series data analysis. Arrhythmia is a heart condition in which the rate or rhythm of the heartbeat is abnormal. The heartbeat may be excessively fast or slow or may have an ir...

Research in virtual reality (VR) has resulted in the development of many applications in clinical settings in the areas of learning and therapy in psychology and neuropsychology because this technology can be flexible to the needs of the clinical application. VR technology has many implementations for cognitive training and as a screening tool for...

This article seeks to utilize the data collected from virtual reality (VR)-based software and a leap-motion device used for learning of subtle errors in mild cognitive impairment (MCI) cases to enable early detection of MCI by analyzing the classification rules for errors (action slips) based on finger-action transitions when performing instrumenta...

Developments in virtual reality (VR) have advanced numerous applications in clinical settings in the areas of learning and treatment in neuropsychology. Emerging VR applications today focus on the challenge of diagnosis and cognitive training of mild cognitive impairment (MCI) and dementia patients and address navigation and orientation, face recog...

Recently, Japan has been experiencing a declining birthrate and an increasingly aging population; as a result, the number of dementia patients is increasing. Current medical science has no way to treat dementia completely after onset. Therefore, it is necessary to detect mild cognitive impairment (MCI) in the early stage just before dementia develo...

Research in virtual reality (VR) has resulted in the development of many applications in clinical settings in the areas of learning and therapy in psychology and neuropsychology because this technology can be flexible to the needs of the clinical application. VR technology has many implementations for cognitive training and as a screening tool for...

Difficulty in performing the activities of daily living is a key clinical feature of early cognitive decline in older adults and has also been associated with the early stage of dementia in mild cognitive impairment (MCI). As the number of individuals with dementia and the development of technology rise, an immersive virtual environment or virtual...

Conference paper: 15th IEEE International Conference on COGNITIVE INFORMATICS & COGNITIVE COMPUTING

This study model an integration between agent-based simulation and machine learning in order to have a comprehensive result of behavior prediction. Model are applied to a case of customer churning in a subscription-based business. To have a good model for behavior prediction, dynamic simulation based on social structure is required. In this study,...

Land conversion is one complex problem which includes actors and factors with different social level. In the process of land use change, every small changes in decision making methods used by individuals may significantly affect the outcomes. Agent-based modeling and simulation (ABMS) is a common approach to analyze and simulate the process of land...

This paper aims to provide a solution to the prediction of customer defection task in the growing market of cloud software industry. From the original unstructured data from the company, we proposed a procedure to first identify the real defection condition, whether the customer is defecting from the company or merely stop using current product to...

Machine learning is an established method of predicting customer defection from a contractual business. However, no systematic comparison or evaluation of the different machine-learning techniques has been performed. In this study, we provide a comprehensive comparison of different machine-learning techniques with three different data sets of a sof...

This paper proposes an estimation of Customer Lifetime Value (CLV) for a cloud-based software company by using machine learning techniques. The purpose of this study is twofold. We classify the customers of one cloud-based software company by using two classifications methods: C4.5 and a support vector machine (SVM). We use machine learning primari...