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All Journal Jurnal Sistem Komputer BERKALA SAINSTEK Jurnal Simetris INFORMAL: Informatics Journal JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Komputer Terapan Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IJAIT (International Journal of Applied Information Technology) Jurnal Riset Rekayasa Elektro Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal Pengabdian Masyarakat
Oktavia, Nelly
Universitas Jember
Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Physics Social Sciences

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Journal : INFORMAL: Informatics Journal

 1 
Pengaruh Rating, Review, dan Response Penjual terhadap Kepercayaan dan Minat Beli Pengguna Shopee Se-Karesidenan Besuki Haris Haris; Nelly Oktavia Adiwijaya; Qurrota A'yuni Ar Ruhimat
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.35398

Abstract

There are many fake ratings and reviews to increase positive income which is basically unknown for sure whether it affects buying interest and buyer trust. This research wanted to find out the effects of ratings, reviews and seller response on buying interest and buyer trust of the Besuki residency community towards the Shopee application. There were 349 respondents, with 20 instruments distributed and processed. There were 7 hypotheses proposed and the result showed that all of the hypothesis is accepted and it can be concluded that the seller's rating, review and response have a positive and significant effect on buying interest and buyer trust towards the Shopee application.
Sentiment Analysis of Skincare Active Ingredient Topics using Latent Dirichlet Allocation and InSet Lexicon on Twitter Social Media Nuarie, Aurila; Adiwijaya, Nelly Oktavia; Dharmawan, Tio
INFORMAL: Informatics Journal Vol 9 No 3 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i3.46116

Abstract

The cosmetic industry, encompassing skincare, underwent a growth rate of up to 9.61%, as indicated by data from the Central Statistics Agency (BPS). With the ongoing expansion of the cosmetic sector, the production of products, particularly those featuring active ingredients in skincare, increased accordingly. Consequently, the utilization of these active ingredients witnessed an upward trend. Twitter data pertaining to active skincare ingredients was collected, forming a substantial dataset that required methods for analyzing topics and opinions.To identify latent topic information, topic modeling using Latent Dirichlet Allocation (LDA) was employed. Prior to conducting topic modeling, clustering was initially performed using K-Means to facilitate the categorization of the extensive dataset into more specific data groups. Subsequently, sentiment analysis was carried out using the InSet Lexicon. The research resulted in four clusters, each of which underwent topic modeling with LDA.Cluster 1 unveiled a topic focusing on the content of alpha arbutin, with sentiment results of 42.5% positive, 45% negative, and 12.5% neutral. Cluster 2 centered around the content of reinol and AHA BHA, with sentiment results of 41.36% positive, 46.99% negative, and 12.13% neutral. Cluster 3 delved into the content of salicylic acid and hyaluronic acid, with sentiment results of 40.57% positive, 42.62% negative, and 16.80% neutral. Lastly, Cluster 4 discussed the clay mask "Skintific" containing mugwort, with sentiment results of 41.67% positive, 43.94% negative, and 14.39% neutral.This research is anticipated to be beneficial and can be utilized by the skincare industry to update the company's business strategies.
Co-Authors Achmad Maududie Agus Dwi Milniadi Agustinus Mariano Galwargan Ahmad Sonny Pranata Al Abror, Muhammad Farhan Antonius Cahya Prihandoko Ardiansyah, Sultan Dhaifullah, Dany Zaky Dharmawan, Tio Dwiretno Istiyadi Swasono Fathur Rozi, Muhammad Iqbal Furqon, Muhammad Ariful Galwargan, Agustinus Mariano Haris Haris Hidayat, Muhamad Arief Irawan, Hendry Sakti M, Nurul Istiana Nuarie, Aurila Nurul Istiana M Priza Pandunata Putra, Januar Adi Qurrota A'yuni Ar Ruhimat Ramadhani, Suci Nur S Slamin Saiful Bukhori Wijaya, Angga Ari