Syahrul Nizam Junaini
Datos Biográficos
| ID | 978209 |
|---|---|
| NOMBRE | Syahrul Nizam Junaini |
| NOMBRES | Syahrul Nizam |
| APELLIDO | Junaini |
| FIRMA | JUNAINI S N |
| AFILIACIONES | Universiti Malaysia Sarawak |
| ORCID | 0000-0001-7193-8862 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 6 |
| TOTAL DE CITAS | 1 |
| TOTAL COMO AUTOR | 6 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2024 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 1 |
University Students’ Perspectives on Adopting Internet of Things Technologies in Smart Farming
Smart farming leverages advanced technologies to promote sustainable agriculture by reducing carbon emissions, conserving resources and increasing output. At the forefront of this innovation is the Internet of Things (IoT), a network of linked devices enabling efficient monitoring and control of agricultural processes. Despite its benefits, IoT adoption in agriculture remains limited. This pilot study explores factors influencing university stude…
Between day and night
Rapid urbanization in Malaysia has shaped a complex property crime landscape, especially in Selangor and Kuala Lumpur. This study examines the relationship between urban land use and property crime (2015–2020) using spatial analysis, particularly Getis-Ord Gi* hot spot analysis. By categorizing 12 land use types and analyzing four daily timeframes, it identifies crime-prone areas and temporal trends. Findings highlight land use influences on crim…
Mapping Danger Zones
This study investigates the spatial and temporal dynamics of assault crimes involving dangerous weapons under Section 324 of the Malaysian Penal Code, focusing on Kuala Lumpur and Putrajaya from 2015 to 2020. The research addresses the critical issue of understanding urban crime patterns to inform effective preventive measures. Using a geographic information system (GIS)-based methodology, the study employs spatial autocorrelation (Global Moran's…
Aging in Motion
The global rise in aging populations is reshaping urban landscapes, particularly in Southeast Asia. In Malaysia, Sarawak is projected to become an aging state by 2028, but the spatial patterns of senior citizen distribution remain underexplored, especially in the context of long-term urbanization. Despite the growing need for age-inclusive planning, little is known about how urban growth affects senior citizen density in diverse regions like Sara…
Deciphering Property Crime Through OLS Regression
This study explores the correlation between property crime and demographic factors in Kuala Lumpur and Putrajaya using spatial autocorrelation (SA) and ordinary least squares (OLS) regression from 2015 to 2020. The 2016 SA analysis shows a significant increase in Moran's I index (0.012905), with a positive z-score of 2.020088 and a p value of 0.043374, indicating spatial clustering of crime. The study examines how factors like total population, h…
Unveiling urban violence crime in the State of the Selangor, Kuala Lumpur and Putrajaya
This study investigates the intricate relationship between violent criminal activities, temporal patterns, and land utilization across Selangor State, Kuala Lumpur Federal Territory (KLFT), and Putrajaya Federal Territory (PFT), Malaysia, spanning from 2015 to 2020. Employing the Hot Spot (Getis-Ord Gi*) technique within a GIS framework, the research contributes to data storage and map generation, enhancing the capabilities of entities such as th…
Deciphering Property Crime Through OLS Regression
This study explores the correlation between property crime and demographic factors in Kuala Lumpur and Putrajaya using spatial autocorrelation (SA) and ordinary least squares (OLS) regression from 2015 to 2020. The 2016 SA analysis shows a significant increase in Moran's I index (0.012905), with a positive z-score of 2.020088 and a p value of 0.043374, indicating spatial clustering of crime. The study examines how factors like total population, h…
Unveiling urban violence crime in the State of the Selangor, Kuala Lumpur and Putrajaya
This study investigates the intricate relationship between violent criminal activities, temporal patterns, and land utilization across Selangor State, Kuala Lumpur Federal Territory (KLFT), and Putrajaya Federal Territory (PFT), Malaysia, spanning from 2015 to 2020. Employing the Hot Spot (Getis-Ord Gi*) technique within a GIS framework, the research contributes to data storage and map generation, enhancing the capabilities of entities such as th…
University Students’ Perspectives on Adopting Internet of Things Technologies in Smart Farming
Smart farming leverages advanced technologies to promote sustainable agriculture by reducing carbon emissions, conserving resources and increasing output. At the forefront of this innovation is the Internet of Things (IoT), a network of linked devices enabling efficient monitoring and control of agricultural processes. Despite its benefits, IoT adoption in agriculture remains limited. This pilot study explores factors influencing university stude…
Between day and night
Rapid urbanization in Malaysia has shaped a complex property crime landscape, especially in Selangor and Kuala Lumpur. This study examines the relationship between urban land use and property crime (2015–2020) using spatial analysis, particularly Getis-Ord Gi* hot spot analysis. By categorizing 12 land use types and analyzing four daily timeframes, it identifies crime-prone areas and temporal trends. Findings highlight land use influences on crim…
Mapping Danger Zones
This study investigates the spatial and temporal dynamics of assault crimes involving dangerous weapons under Section 324 of the Malaysian Penal Code, focusing on Kuala Lumpur and Putrajaya from 2015 to 2020. The research addresses the critical issue of understanding urban crime patterns to inform effective preventive measures. Using a geographic information system (GIS)-based methodology, the study employs spatial autocorrelation (Global Moran's…
Aging in Motion
The global rise in aging populations is reshaping urban landscapes, particularly in Southeast Asia. In Malaysia, Sarawak is projected to become an aging state by 2028, but the spatial patterns of senior citizen distribution remain underexplored, especially in the context of long-term urbanization. Despite the growing need for age-inclusive planning, little is known about how urban growth affects senior citizen density in diverse regions like Sara…
Deciphering Property Crime Through OLS Regression
This study explores the correlation between property crime and demographic factors in Kuala Lumpur and Putrajaya using spatial autocorrelation (SA) and ordinary least squares (OLS) regression from 2015 to 2020. The 2016 SA analysis shows a significant increase in Moran's I index (0.012905), with a positive z-score of 2.020088 and a p value of 0.043374, indicating spatial clustering of crime. The study examines how factors like total population, h…
Geography (5 obras) · Crime Patterns and Interventions (4 obras) · Crime, Illicit Activities, and Governance (3 obras) · Political science (3 obras) · Socioeconomics (3 obras) · Sociology (3 obras) · Business (2 obras) · Computer Science (2 obras) · Crime, Deviance, and Social Control (2 obras) · Criminology (2 obras)