Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
Colonization of the oral cavity by potentially pathogenic bacteria constitutes threatens its transmission to different human tissues and organs, this study provides isolation and identification of 26 isolates (14 Klebsiella pneumoniae and 12 Enterobacter cloacae) recovered from oral cavity infections. In this study, some of virulence factors were detected by traditional phenotypic methods. The results showed 9 (64.28%) of 14 K. pneumoniae isolates demonstrated hypermucoviscosity. The results showed that 57.1% (8/14), 58.4% (7/12) and of isolates were encapsulated K. pneumoniae and E. cloacae isolates, respectively. In this study, there were 78.5 %(11/14) of K. pneumoniae and 66.6% (8/12) of E. cloacae isolates showed their ability to adhere with epithelial cell. The results in of biofilm formation were indicated according to (Salwa et al., 2011) in which 71.4% (10/14) of K. pneumoniae and 83.3% (10/12) of E. cloacae isolates appeared high biofilm formation (strong positive adherence). While 28.6% (4/14) K. pneumoniae and 16.7% (2/12) of E. cloacae isolates appeared moderate biofilm formation
Community users of digital technologies such as the Internet and various facilities such as social media, internet, games, and various other applications provide a variety of positive and negative effects. efficiency, safety, comfort, and effectiveness are positives of this technology but there are also negative impacts such as the decline of social behavior, crime, and moral vulnerability. Although there have been internet ethical guidelines such as Cyber Ethics but have not been able to play a maximum role to be able to control the negative impact. Cyber religious is a model of internet user control of amoral and criminal acts, which can be applied to various elements related to the internet world. One of the applications of cyber religious for user control internet with applications that can detect immoral behavior or crime on the internet through detection on the browser used. It's so easy for someone to access internet information resulting in Uncontrolled Internet users. This can lead to problems such as dangerous access to cysts, pornography, crime, cruelty, abnormal behavior, and committing criminal acts to others. Cyber religious processing is to check the internet access of a person, if found any indication of immorality or crime then the system will provide warning and or provide other information more useful. This research provides various models of cyber religious architecture with adaptation from some research about connection control with internet networks. Each model influences different communities to access from small office (LAN), large office (MAN), Access from any country, and access to the world
One of the main issues with k-means-type algorithms is their sensitivity to seeding selection. Typically, good seeding selection leads to good clustering results. This study provides supporting evidence that the recent k-approximate modal haplotype (AMH)-type algorithm is insensitive to seed selections for clustering categorical data, compared with its counterpart, the fuzzy k-modes-type algorithm. The k-AMH algorithm demonstrates its advantages using six real-world datasets, obtaining high minimum, maximum, and median scores compared with those obtained by the fuzzy k-modes algorithms as verified using analysis of variance and t-tests. Hence, the k-AMH-type algorithm provided statistically significantly different scores at a 5% significance level, compared with the fuzzy k-modes-type algorithm. However, the t-test showed that the k-AMH-type algorithm did not show a significant difference, compared with randomized or k-means++ seeding. Therefore, with insensitive seed selection, the k-AMH-type algorithm could be used to develop a categorical clustering tool
Microplastics represent one of the most current global concern issues for environmental and human health. The main concern is for aquatic ecosystems, a very large increase in the number of microplastics has recently transformed these compounds and their degradation products into one of the most common marine debris. To decompose plastic waste requires 50-100 years to be completely degraded so that it becomes a threat to aquatic ecosystems. This research aims to determine the concentration and characteristics of microplastics pollution at estuaries at Kendari Bay. The data of this research were sourced from water and sediment samples from 3 estuaries at Kendari Bay including the Punggaloba estuary, Lahundape estuary, and Wanggu estuary. The analytical methods used in this research include National Oceanic and Atmospheric Administration (NOAA), Scanning Electron Microscopy (SEM), Fourier Transform Infrared (FTIR), Origin Software and SPSS Software. The results showed that the Kendari Bay was contaminated by microplastics. The highest concentration of microplastic pollution is found at the Lahundape estuary, which is 10.07 particles/liter of water and Punggaloba estuary, which is 96 particles/kg of sediment. Microplastic characteristics are based on morphological analysis and particle size. It can be seen that the shape of microplastic particles from water and sediments includes fragments, fibers, and pellets. The range of microplastic sizes in water samples ranges from 0.24-20.34 μm while the size range in sediment samples ranges from 0.12-16.53 μm. The most dominant source of microplastic polymers found at Kendari bay is polystyrene type
The research objective is to determine the significant impact of the environment concern, warm glow, and financial benefits towards Indonesia Power’s consumer’s motivation in using solar PV. The data taken by questionnaire, with a sample size of 91 respondents, all consumers are solar PV users in East java. The analyses conducted by using SPSS with a single and multiple regression analysis method. The result indicates that the environmental concern, warm glow, and financial benefits all have significant impact towards the motivation in adopting solar PV in Indonesia. Thus, the results can help Indonesia Power to foster and promote renewable Energy specifically solar PV. This research can also help solar PV producers in how they can better promote their products. KEYWORDS: solar PV, motivation
