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Factors influencing the development of the cashless payment system: Comprehending the function of the involved participants Tanha, Moutusi; Dolon, Md. Mohibul Alam; Al-Amin, Al-Amin; Nadi, Nusrat Afrin; Islam, Md. Monirul; Ali, Md. Hazrat
Annals of Management and Organization Research Vol. 5 No. 4 (2024): May
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v5i4.1959

Purpose: The prevalence of cashless payments has increased globally owing to their myriad benefits. Furthermore, the use of cashless payments has also increased. Nevertheless, there is a need for more comprehensive research on the acceptance and current methodologies of cashless transactions. This study aims to gain a thorough understanding by identifying the entities involved and their pivotal functions in the payment ecosystem. Research Methodology: This report seeks to answer two research questions: i) Which factors are involved in the cashless payment ecosystem? What key elements influence the players in adopting a cashless payment ecosystem? Six key ecosystem players and their influencing elements were identified by comprehensively evaluating 63 publications published between 2015 and 2021. Results: Several benefits are associated with cashless payments, which have led to their growing popularity worldwide. Furthermore, during the COVID-19 epidemic, there was a significant increase in the use of cashless payment methods. Limitations: On the other hand, more holistic studies on the widespread use of cashless payment methods and their respective modern behaviors are needed. Contribution: In addition to providing a foundation for further empirical research, this study contributes to resolving adoption-related concerns. Novelty: This study’s original approach to understanding the various elements driving cashless payment system development by focusing on participant roles and functions is unique. Unlike previous studies, this study examines human dynamics rather than technology or regulatory issues.

Patella radiograph image texture: The correlation with lumbar spine bone mineral density values Mulyono, Agus; Islam, Md. Monirul; Panse, Vishal R
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 11 No 1 (2022): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v11i1.11348

Osteoporosis is a common metabolic disease that is frequently overlooked. This disease primarily affects adult women and causes bone thinness and fragility, which leads to fractures. DXA (Dual Energy X-ray Absorptiometry) is used to diagnose osteoporosis by measuring bone mineral density. These devices are expensive and not widely available for treatment. This study aimed to find a correlation between the texture value of an image of the patellar bone and the density of the lumbar spine, which can then be used to detect osteoporosis. This study's sample size was 19 subjects, and their bone mineral density (BMD) was measured using DXA. An X-ray was then taken to obtain an image of the genu bone. The stages of the research are as follows: 1) preparing the X-ray image of the bone; 2) determining the image texture value method of gray level co-occurrence matrix 3) investigating the relationship between texture values and BMD in the lumbar spine. The correlation test results revealed a statistically significant correlation between the texture value and the BMD of the lumbar spine for the correlation and variance characteristics (P less than 0.05). As a result, the value of the texture of the image of the patella bone can be used to detect osteoporosis.

Stroke Prediction Analysis using Machine Learning Classifiers and Feature Technique Islam, Md. Monirul; Akter, Sharmin; Rokunojjaman, Md.; Rony, Jahid Hasan; Amin, Al; Kar, Susmita
International Journal of Electronics and Communications Systems Vol. 1 No. 2 (2021): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v1i2.10393

Stroke is one of the fatal brain diseases that cause death in 3 to 10 hours. However, most stroke mortality can be prevented by identifying the nature of the stroke and reacting to it promptly through smart health systems. In this paper, a machine learning model is approached for predicting the existence of stroke of a patient where the Random forest classifier outperforms the state-of-the-art models, including Logistic Regression, Decision Tree Classifier (DTC), K-NN. We conduct the experiments on datasets which has 5110 observations with 12 attributes. We also applied EDA for preprocessing and feature techniques for balancing the datasets. Finally, a cloud-based mobile app collects user data to analyze and provide the possibility of stroke for alerting the person with the accuracy of precision 96 percent, recall 96 percent, and F1-score 96 percent. This user-friendly system can be a lifesaver as the person gets an essential warning very easily by providing very little information from anywhere with a mobile device.

Alleviating Poverty Through One House One Farm Project in Bangladesh Rahman, Muhammad Sayadur; Islam, Md. Monirul; Ullah, Mohammad Nur
Indonesian Journal of Social Research (IJSR) Vol 6 No 2 (2024): Indonesian Journal of Social Research (IJSR)
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/ijsr.v6i2.456

Poverty is a bad inhalation process in the economic breath system, especially at the rural level in Bangladesh. The one house one farm project was initiated to alleviate poverty in Bangladesh as an initiative of Prime Minister Sheikh Hasina. The project focuses on rural households generating income through family farming with e-financial inclusion or online banking opportunities. The study focuses on the fundamental understanding and reasons for the One House One Farm project. The study follows a generic qualitative method with secondary data sources, including the website of The Project, newspaper articles, and journal articles, to indicate what, how, and why questions. With some beneficiaries' statements, an ethnographic study is conducted as another data collection source. The study introduces a thematic mode of analysis that covers the explanation of the pattern of the One House One Farm project and gives a general idea about the background. The study finds that the One House One Farm project was a primary and better initiative for alleviating or eradicating poverty in Bangladesh, which helps to focus on achieving Sustainable Development Goal- 01. Besides the main target of alleviating or eradicating poverty in Bangladesh, this project helped rural households create a basement for generating income and being free from dependency.

Factors influencing the development of the cashless payment system: Comprehending the function of the involved participants Tanha, Moutusi; Dolon, Md. Mohibul Alam; Al-Amin, Al-Amin; Nadi, Nusrat Afrin; Islam, Md. Monirul; Ali, Md. Hazrat
Annals of Management and Organization Research Vol. 5 No. 4 (2024): May
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v5i4.1959

Purpose: The prevalence of cashless payments has increased globally owing to their myriad benefits. Furthermore, the use of cashless payments has also increased. Nevertheless, there is a need for more comprehensive research on the acceptance and current methodologies of cashless transactions. This study aims to gain a thorough understanding by identifying the entities involved and their pivotal functions in the payment ecosystem. Research Methodology: This report seeks to answer two research questions: i) Which factors are involved in the cashless payment ecosystem? What key elements influence the players in adopting a cashless payment ecosystem? Six key ecosystem players and their influencing elements were identified by comprehensively evaluating 63 publications published between 2015 and 2021. Results: Several benefits are associated with cashless payments, which have led to their growing popularity worldwide. Furthermore, during the COVID-19 epidemic, there was a significant increase in the use of cashless payment methods. Limitations: On the other hand, more holistic studies on the widespread use of cashless payment methods and their respective modern behaviors are needed. Contribution: In addition to providing a foundation for further empirical research, this study contributes to resolving adoption-related concerns. Novelty: This study’s original approach to understanding the various elements driving cashless payment system development by focusing on participant roles and functions is unique. Unlike previous studies, this study examines human dynamics rather than technology or regulatory issues.

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