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In Software Development Life Cycle (SDLC), security vulnerabilities are one of the points introduced during the construction stage. Failure to detect software defects earlier after releasing the product to the market causes higher repair costs for the company. So, it decreases the company's reputation, violates user privacy, and causes an unrepairable issue for the application. The introduction of vulnerability detection enables reducing the number of false alerts to focus the limited testing efforts on potentially vulnerable files. UMKM Masa Kini (UMI) is a Point of Sales application to sell any Micro, Small, and Medium Enterprises Product (UMKM). Therefore, in the current work, we analyze the suitability of these metrics to create Machine Learning based software vulnerability detectors for UMI applications. Code is generated using a commercial tool, SonarCloud. Experimental result shows that there are 3,285 vulnerable rules detected., Comment: Paper entitled "#1570844450 ('Vulnerable Source Code Detection using SonarCloud Code Analysis')" is ACCEPTED as an oral or video presentation in the 5th International Conference on Applied Science Technology (ICAST-2022) https://icast.isas.or.id/2022/

The Government through the Ministry of Information and Communication Technology (Kemkominfo) held the 100 Smart Cities Program, an effort to improve the quality of public services. The program produces a Smart City Masterplan to develop regencies and cities. Access to the website of the regencies-cities government that is member of the program is one success indicator of using technology for the community, because the accessing speed (loading time) and responsiveness of the website is a convenience factor in service users. Hence, the importance of viewing and monitoring public service websites related to public service information in loading time and responsiveness of the website. From the data of regencies-cities registered in this program, many of them are from West Java Province, recorded around 11 of the total 26 regencies-cities. This study presents a website assessment using weighting method that focuses on loading time and responsiveness to see the performance of community services provided by the municipal governments that are incorporated in a smart city case study in West Java Province. There are six parameters in weighting performance of website used in this study, namely first-contentful-paint, first-meaningful-paint, speed-index, interactive, first-cpu-idle, and max potential first input delay. The weighting value is compared with Google's dataset, CrUX (Chrome User Experience Report). The test results show that the majority of websites have an average performance of 38.7 (mobile) 63.6 (web) of the 530 websites incorporated in the smart city, with the best results obtained by the City of Bandung., Comment: Indonesian language, SENTRINOV 2019 Conference