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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Dinasti International Journal of Digital Business Management
Chandra, Eric
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Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Negative Marketing in The Softdrink Industry: The Effect of Greenwashing Perceptions on Purchase Intention Through Brand Image on Sprite Chandra, Eric; Novita, Novita
Dinasti International Journal of Digital Business Management Vol. 5 No. 4 (2024): Dinasti International Journal of Digital Business Management (June - July 2024)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijdbm.v5i5.2824

Abstract

This study examines the impact of greenwashing perceptions on consumer purchase intention for eco-friendly soft drinks in Jakarta, with brand image as a moderating variable. Although the public is increasingly aware of the importance of eco-friendly products, corporate marketing practices have not supported this trend. Using descriptive and quantitative methods, with 73 respondents selected through purposive sampling and analyzed using SmartPLS 3.2.9, the results show that greenwashing perceptions affects brand image but does not influence purchase intention. Brand image also does not affect purchase intention or mediate the relationship between greenwashing and purchase intention. In conclusion, transparency and sustainability are crucial to avoiding greenwashing and enhancing brand image and consumer purchase intention.
Penerapan Algoritma Gradient Boosting pada Sinyal EEG sebagai Pengendali Kursi Roda DARMAWAN, GERARLDO INDRA; SARTIKA, ERWANI MERRY; CHANDRA, ERIC; BR. PASARIBU, NOVIE THERESIA; ANDRIANTO, HERI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 2: Published April 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i2.541

Abstract

ABSTRAKBerdasarkan data Badan Penduduk Statistik (BPS) tahun 2019, jumlah penduduk lanjut usia yaitu 23,4 juta dan 26,2% diantaranya mengalami keluhan kesehatan. Beberapa keluhan kesehatan yang dialami berkaitan dengan mobilitas. Kursi roda merupakan salah satu alat bantu yang kerap digunakan oleh penyandang disabilitas atau seseorang yang memiliki keterbatasan mobilitas. Brain-Computer Interface digunakan sebagai sistem kendali kursi roda menggunakan Raspberry Pi berdasarkan masukan berupa sinyal EEG. Sinyal EEG tersebut digunakan untuk memprediksi perintah otak dan rangsangan gerakan bola mata dengan menerapkan algoritma gradient boosting. Hasil prediksi machine learning merupakan set point untuk menjalankan motor DC sehingga kursi roda dapat bergerak berdasarkan hasil prediksi. Sistem BCI pada kursi roda telah dilakukan uji coba, integrasi BCI pada kursi roda berhasil diterapkan dengan persentase keberhasilan sebesar 60%.Kata kunci: BCI, Machine Learning, Wheelchair Control. ABSTRACTAccording to the Badan Penduduk Statistik 2019, the number of elderly population is 23.4 million, and 26.2% of them experience health complaints. Some of these complaints are related to mobility. Wheelchairs are one of the commonly used aids for people with disabilities or mobility limitations. The Brain-Computer Interface (BCI) is employed as a control system for a wheelchair, utilizing a Raspberry Pi, which operates based on input signals derived from EEG (Electroencephalogram) signals. These EEG signals are used to predict brain commands and stimulate eye movement through the application of gradient boosting algorithms. The machine learning prediction results are the set points to run the DC motor so that the wheelchair can move based on the prediction results. The BCI system for wheelchairs has been tested, and the integration of BCI into wheelchairs has been successfully applied with a 60% success rate.Keywords: BCI, Machine Learning, Wheelchair Control.
Co-Authors DARMAWAN, GERARLDO INDRA Erwani Merry Sartika Heri Andrianto Novie Theresia Br. Pasaribu Novita, Novita