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Journal : International Journal of Research in Vocational Studies (IJRVOCAS)

Cosmetic Product Review Sentiment Using K-Nearest Neighbor Nuraini; Putra, Pandu Pratama; Chan, Andi Supriadi
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 3 No. 4 (2024): IJRVOCAS - Special Issues - International Conference on Science, Technology and
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v3i4.83

Abstract

Indonesia, with a population of about 250 million, is a promising market for cosmetics companies. Aiming for women as the main target group for consumers, most of the cosmetics industry has recently begun to innovate  products for men (Ministry of Industry, Republic of Indonesia, 2013). According to  the  Indonesian Cosmetics Companies Association (Perkosmi) of the Ministry of Industry of the Republic of Indonesia,  sales of imported cosmetics reached IDR 2.44 trillion in 2012, an increase of 30% compared to IDR 1.87 trillion in 2011. In 2013, sales of imported cosmetics are expected to increase by another 30% to Rs 3.17 trillion. One of the most popular cosmetics is the MS Glow brand. MS Glow is an acronym for Magic For Skin,  the brand's motto, which reflects Indonesia's most brilliant products. The data is  from WebFemaleDaily, where users review Indonesian MS Glow cosmetics. The results of the analysis are intended to determine the positive and negative reactions of users of MS Glow cosmetics. The classification process uses the K-nearest neighbor (K-NN) algorithm. The accuracy value of K-NN with k = 1 is obtained from the result of 63.64% confusion matrix test.
Implementation of IoT-Based Smart Tourism Destination Tools as Tourism Leisure 5.0 Chan, Andi Supriadi; Destiadi, Rezha; Hasibuan, Annalisa Sonaria; Aranski, Alvendo Wahyu; Ardiansyah, Luky
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 3 No. 4 (2024): IJRVOCAS - Special Issues - International Conference on Science, Technology and
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v3i4.105

Abstract

Due to its ability to create commercial opportunities that local communities can manage, tourism is a well-known industry with significant development potential. Information technology has had significant advancements in its application within the tourism industry, and its implementation is now commencing in Indonesia. The use of IoT technology in the tourism industry necessitates a series of sequential stages, culminating in the establishment of a comprehensive information platform that facilitates the monitoring and administration of tourism activities. Utilizing IoT technology to construct a tourist platform helps expedite the process of integrating information and infrastructure while effectively leveraging smart technology in the tourism sector. The research methodology employed is a hybrid approach. The data outputs are processed and evaluated using a strategy that caters to the interests of the community and parties involved in the collaborative development of smart tourism, both qualitatively and quantitatively. The analysis stage uses the theory of visual perception as a way to understand what the desired implementation of IoT-based smart tourism looks like. This is shown in the selection stage. Meanwhile, this investigation concluded with a technological readiness level of five. The research was conducted without any prior investigation that aligned with the themes, tools, and objects employed by the researchers, representing the current state of the art. Furthermore, the research team comprises specialists in the domain of information systems, including two members who possess expertise in information systems and languages. This ensures a comprehensive grasp of the tools utilized in model development, collaboration, and the potential for technological advancement. In addition to the desired outcome, this is an Internet of Things (IoT)-based intelligent tourism system that may be utilized as a tool in many tourist destinations across Indonesia.