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Journal : Faktor Exacta

Analisis Strategi E-Business Pada Bandung Smart City putri dina mardika
Faktor Exacta Vol 11, No 1 (2018)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v11i1.2314

Abstract

Abstract. The design of a city through the use of information technology makes it a necessity, not just for the lifestyle in terms of communicating the accuracy and usefulness of the scope of urban planning. It leads to a term that is smart city. Problems encountered in relation to smart city include the lack of optimal government services, lack of community to participate in support of the Smart City concept movement, and human resource competence has not been optimal. One of the city concept city concept is the city of Bandung, which has an integrated network covering aspects of Smart Government, Smart Education, Smart Transportation, Smart Health, Smart Infrastructural, Smart Social, Smart Environment, Bandung Technopolis so that make the city of Bandung the better. Using SWOT method, which analyzed from the aspect of Resilience or Strength, Weakness, Opportunities and Risks in Knowing Strategy can make Bandung have smart city image. The conclusions generated from the results of strategy analysis that is with the existence of Human Resources that qualified to maintain integrated product or application which then disseminated to the public. Thus, Bandung becomes a smart city that inspires other cities in Indonesia.Keywords: Smart City, Bandung Smart City, SWOT Analysis
Algoritma K-Means Untuk Mengetahui Minat Siswa Terhadap Jurusan Teknik Informatika putri dina mardika
Faktor Exacta Vol 16, No 2 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i2.17067

Abstract

There are already many information technology-based companies in the capital city, many job vacancies may be opened because they require experts with an educational background in informatics engineering. The research was conducted on YMIK 2 Jakarta high school students who concentrated on science and social studies. YMIK 2 High School students are familiar with information technology devices because there is a computer lab as a student facility for conducting computer learning activities. And there is an internet network in the form of free wifi at school. Researchers used data mining techniques with the K-Means algorithm and RapidMiner tools to process data to produce some conclusions about groupings related to whether or not YMIK 2 Jakarta High School students are interested in the Informatics Engineering major. The researcher divided the clusters into 2 groups consisting of cluster_0 which means students who are interested in informatics engineering and cluster_1 which means students who are not interested in informatics engineering. The data set used in this study was 50 data, according to the students participating in SMA YMIK 2 Jakarta. From the results of this study, it is known that students who are interested in majoring in informatics engineering are more numerous than students who are not interested in majoring in informatics engineering based on the k-means clustering algorithm.