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All Journal Indonesian Journal of Business and Management Journal of Sustainable Innovation Engineering
Putri, Rezky Amalia
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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ANALISIS PERBANDINGAN PEMBELIAN ONLINE DAN OFFLINE TERHADAP KEPUTUSAN PEMBELIAN PADA MINIMARKET INDOMARET DI KECAMATAN MANGGALA Putri, Rezky Amalia; Chahyono, Chahyono; Ruslan, Muhlis
Indonesian Journal of Business and Management Vol. 6 No. 1 (2023): Indonesian Journal of Business and Management, Desember 2023
Publisher : Postgraduate Bosowa University Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35965/jbm.v6i1.3858

Abstract

Tujuan penelitian untuk mengetahui dan mendeskripsikan mengenai bagaiamana perbandingan antara pembelian online dan offline terhadap keputusan pembelian pada minimarket indomaret di Kecamatan Manggala. Pada dasarnya tipe penelitian yang digunakan adalah deskriptif yaitu sebuah penelitian yang berusaha memberikan gambaran mengenai objek yang diteliti yang bertujuan membuat deskriptif atau gambaran secara sistematis dan aktual mengenai fakta-fakta yang ada. Pemilihan informan dilakukan dengan cara purposive sampling yaitu; penarikan informan yang dilakukan secara sengaja dengan kriteria tertentu. Adapun subyek penelitian ini berjumlah 10 orang Yaitu orang atau pelaku yang benar-benar tahu dan menguasai masalah, serta terlibat langsung dengan masalah penelitian. Teknik pengumpulan data dalam penelitian ini menggunakan observasi, wawancara, dokumentasi. Hasil penelitian menunjukkan bahwa faktor-faktor yang mempengaruhi Keputusan Pembelian Konsumen pada minimarket Indomaret di Kacamatan Manggala yaitu produk, Harga, promosi, pelayanan, Fasilitas  dan Lokasi. This study aimed to determine and describe the comparison between online and offline purchase on purchasing decision in Indomaret minimarket in Manggala Sub-district. Basically the type of research used is descriptive, namely a study that attempts to provide an overview of the object being studied which aims to make a descriptive or systematic and actual description of the facts that exist. The selection of informants was carried out by purposive sampling namely, intentional withdrawal of informant with certain criteria. The subjects of this study amounted to 10 people, namely people or actor who really know and master the problem, and they were directly involved with the research problem. Data collection technique in this study used observation, interviews, documentation. The results of the study showed that the factors that influence consumer purchasing decision at Indomaret minimarket in the Manggala Sub-district are product, price, promotion, service, facility and location.
Deepfakes, Public Trust, and Online Discourse: Sentiment Analysis of Responses to the “Guru Beban Negara” Hoax Clarification on Social Media Ashdaq, Muhammad; Jannah, Ummul Radiatul; Yourike, Yourike; Putri, Rezky Amalia; Mandasari, Nur Fitriayu
Journal of Sustainable Innovation Engineering Vol. 1 No. 3 (2025): November
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/sustainable.v1i3.22

Abstract

The rapid advancement of artificial intelligence technologies has introduced a new form of digital threat in the form of deepfakes, which have the potential to accelerate the spread of hoaxes and undermine public trust in official information. One notable and controversial example is the “Guru Beban Negara” hoax, which generated diverse and polarized reactions on social media platforms, despite the issuance of an official clarification by the authorities. This phenomenon suggests that institutional responses do not always succeed in mitigating negative public perceptions once misinformation has circulated widely. This study aims to examine public sentiment toward the official clarification by analyzing user comments on YouTube using the Naïve Bayes Classifier algorithm. Data were collected through web scraping techniques and subsequently processed through several preprocessing stages, including cleansing, normalization, tokenization, and stemming, to ensure data quality and analytical reliability. The findings reveal a strong predominance of negative sentiment among the 2,252 comments analyzed. The sentiment classification model achieved an accuracy rate of 73%, with the distribution indicating that most users expressed negative reactions, while only a small proportion conveyed positive sentiment. These results indicate that official clarifications have not been fully effective in alleviating negative public perceptions associated with deepfake-based hoaxes, particularly within the context of social media discourse.
Co-Authors Ashdaq, Muhammad Chahyono, Chahyono Jannah, Ummul Radiatul Mandasari, Nur Fitriayu Ruslan, Muhlis Yourike, Yourike