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:
Investment is one of the jobs in demand by many people, primarily entrepreneurs, because the benefits obtained exceed deposit interest and gold investment. This is also caused by technological factors, which can be done online wherever they are, but due to uncertain stock price changes, it is unclear when the share price will be sold or purchased. Based on this, research was carried out that made a system able to provide stock buying and selling decisions using 7 technical methods: force index, moving average convergence divergence, williams percent range, ultimate oscillator, relative strength index, commodity channel index, and price rate of change. This system will make it easier for investors to benefit from stock investments that are executed online without having to be watched all the time. Stock trading testing results using the Force Index method, Moving Average Convergence Divergence, Williams Percent Range, Ultimate Oscillator, Relative Strength Index, Commodity Channel Index, and Price Rate of Change state that stocks have a profit rate of 3.28%.
This Boarding houses and rented houses are occupancies that college students need, not only for them but also for the public who doesn't have enough money, mostly renting if they choose to live independently. The difficulty of finding suitable boarding houses or rented houses is the most common problem, one of them is about taste. This problem needs to get solved because every person has a different taste. People's personalities and interests are not always the same, which makes every person have other criteria. With the application's help, we can easily choose the most suitable boarding houses or rented houses from our criteria. The application will be showing the data that already processed with our input to make us choose the boarding or rented houses close to our standards. For that, we need some recommendation algorithms, and one of them is Fuzzy Logic.