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Pendampingan dan Pemberdayaan Wanita Dalam Mengembangkan Digital Marketing Produk Kuliner Berbasis Mangrove Di Desa Pantai Mekar Satria, Budi; Untari, Dhian Tyas; Putri, Amelia; Anjani, Allisya Andrea; Natalia, Friska; Cantika, Marisa
Jurnal Pengabdian kepada Masyarakat UBJ Vol. 6 No. 1 (2023): January 2023
Publisher : Lembaga Penelitian Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/4sqdwc61

Abstract

Based on the results of initial observations conducted by the team in the PKK community in Pantai Mekar Village, there are at least 3 aspects of problems related to women's empowerment, namely: the majority of families in Pantai Mekar Village depend only on their husband's income, so it can be said that women in Pantai Mekar Village are less empowered Economically, Pantai Mekar Village is an area in Bekasi which has a fairly extensive mangrove forest. At present, mangrove products such as dodol mangrove, mangrove syrup and crispy crab have been created. It's just that currently the packaging is still very simple, so it can't compete with similar products on the market. Products that are very innovative at this time do not have a massive marketing system. The current marketing pattern is still very simple, it only includes bazaars which are sometimes held by the local government. On the other hand, a more modern marketing system is needed for the introduction and market penetration process. PKK Desa Pantai Mekar has tried to make culinary delights made from mangroves to be processed into syrup, dodol and jam. Currently, the Ubhara Jaya PKM Team and the Pantai Mekar Village PKK are also carrying out improvements in the production, marketing and licensing processes related to brands. It is hoped that Mangrove-based culinary can be a source of economic improvement for women in Pantai Mekar Village.
Exploring the Role of Machine Learning and Big Data Analytics in Enhancing Decision-Making Processes: A Systematic Literature Review Prawira, Nicholas; Wella, -; Natalia, Friska
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3244

Abstract

This Systematic Literature Review (SLR) analyzes the influence of Machine Learning (ML) and Big Data Analytics (BDA) on decision-making processes in several industries. The study aims to explore the potential of machine learning and big data analytics in enhancing decision-making, examining the tools and platforms used, and identifying the challenges encountered during deployment. Employing the PRISMA technique, 31 publications published from 2019 to 2024 were meticulously selected through a stringent screening process, using Scopus as the principal database. The results indicate that machine learning and big data analytics substantially enhance predictive accuracy, operational efficiency, and data privacy measures, while facilitating seamless integration with current systems. Furthermore, these technologies are becoming progressively accessible to Small and Medium Enterprises (SMEs). In the healthcare sector, machine learning models have exhibited a diagnosis accuracy of 99% in detecting breast cancer. Nonetheless, the report underscores other research deficiencies, particularly the necessity for more cost-effective solutions designed for SMEs. These limitations signify opportunities for future study to investigate ML and BDA applications in underexamined areas, such as logistics and manufacturing. This research highlights the necessity of creating economical, scalable, and industry-specific machine learning and big data analytics solutions to address existing difficulties. This systematic literature review (SLR) seeks to elucidate the function of machine learning (ML) and big data analytics (BDA) in decision-making, thereby assisting researchers and practitioners in enhancing the utilization of these technologies across many industrial applications.
The influence of perceived aggressive monetization on mobile gamers' in-app purchase behavior Baskara, Andri Seta; Jimmy, So Yohannes; Natalia, Friska
Jurnal Ekonomi dan Bisnis Vol. 28 No. 2 (2025)
Publisher : Fakultas Ekonomika dan Bisnis Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24914/jeb.v28i2.13957

Abstract

Popularity of mobile video games is rapidly increasing. A larger audience is drawn in by the increasingly captivating and visually appealing mobile gaming experiences thanks to technological advancements. The In-App Purchase (IAP) monetization model is the main revenue for most mobile games. Although the application can be used for free, users can choose to pay for extra features or content.  This quantitative study sought to identify the determinant of users' willingness to spend money on IAP. This study used a construct known as Perceived Aggressive Monetization (PAM), besides variables of self-control and previous impulsive spending. This study's respondents totaled 264 and used a 5-point likert scale online questionnaire. Non-probability sampling was used in this study. This study employed PLS-SEM to analyze respondent data. Therefore, PAM emerged as a significant predictor of willingness to spend, in other words, players perceive that monetization employed in mobile games is aggressive. Meanwhile, self-control and previous impulsive spending did not significantly influence users’ willingness to spend. Mobile game studios must consider how players perceive aggressive monetization in the mobile games they play. To mitigate negative player perception, mobile game studios should prioritize the use of ethical monetization strategies, particularly those that discourage addiction to IAP.