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All Journal ITEj (Information Technology Engineering Journals) Journal of Economics and Social Sciences Jurnal Pengabdian Bakti Akademisi
Hardini, Inkreswari Retno
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Social Sciences

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A Survey on Machine learning and IoT Hardini, Inkreswari Retno
ITEJ (Information Technology Engineering Journals) Vol 4 No 2 (2019): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v4i2.51

Abstract

Internet of Things is an intelligence devices that can connect to any other devices. Based on that ability to connect and its intelligence, it makes people to create an intelligence device and capable to learn like human brain. To accomplish that goal, machine learning is the solution. Combination between machine learning and IoT generate a revolution in human life and application industry. The combination also generate new trend in market. Therefore, in this paper will be discuss about machine learning including machine learning technique and algorithm and also discuss about IoT including architecture and elements. Then in this paper will discuss about some researches that have already done that combine IoT with machine learning approach, including issue and challenge in those researches.
The Role of Optimism, Innovativeness, Discomfort, and Insecurity in the Acceptance of Bank Jago’s Mobile Application: A TRI–TAM Approach Rehatta, Stanny Dewanty; Hardini, Inkreswari Retno; Berutu, Meta Bara
Journal of Economics and Social Sciences (JESS) Vol. 4 No. 2 (2025): Journal of Economics and Social Sciences (JESS)
Publisher : CV. Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/jess.v4i2.921

Abstract

The development of digital banks in Indonesia, such as Bank Jago, has transformed the way people access financial services. The success of adopting these services is influenced not only by technology availability but also by users' psychological readiness. This study combines TRI and TAM to analyze how innovativeness, optimism, insecurity, and discomfort affect PEOU, PU, and ITU among Indonesia's digital generation. The research uses a quantitative survey and PLS-SEM analysis. Results indicate that optimism significantly boosts PEOU but does not significantly affect PU or ITU. Innovativeness significantly enhances PU and PEOU but does not influence ITU. Contrary to expectations, discomfort demonstrates a significant positive relationship with PU but has no notable impact on PEOU or ITU. Insecurity shows no significant effect on any variables. Moreover, PEOU significantly increases PU but negatively influences ITU, PU does not significantly impact ITU. These findings suggest that ease of use and PU are not always the main factors driving the intention to adopt technology, particularly among users familiar with digital tools. This research contributes to the literature on TRI and TAM integration and offers practical insights for digital financial service developers to consider psychological readiness when designing technology adoption strategies.
AI-Powered Branding by Utilizing ChatGPT for the Promotion of Competitive MSMEs (SDGs9) Hardini, Inkreswari Retno; Rehatta, Stanny Dewanty; Purba, Regina Humaningtyas; Novianti, Ariska
Jurnal Pengabdian Bakti Akademisi Vol 2, No 3 (2025): Jurnal Pengabdian Bakti Akademisi
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jpba.v2i3.47846

Abstract

Karangsong Village in Indramayu Regency holds substantial economic potential in the fisheries, tourism, and creative industry sectors. However, more than 70% of Micro, Small, and Medium Enterprises (MSMEs) in the village still rely on conventional marketing methods. Only around 30% utilize social media, and less than 10% have adopted digital branding strategies effectively. The main challenges faced by these MSMEs lie in the areas of production, business management, and marketing particularly in terms of product quality standardization, financial recordkeeping, inventory management, and the implementation of effective digital promotion strategies. This community engagement program aims to enhance the competitiveness of MSMEs through the application of Artificial Intelligence (AI), particularly by utilizing the ChatGPT platform as a tool to improve the efficiency and quality of digital branding. The program is conducted in four stages: socialization to introduce the concept of AI and ChatGPT, technical training and mentoring, monitoring and evaluation of AI implementation outcomes, and the preparation of a final report along with sustainability recommendations. The solutions offered include using ChatGPT to recommend product innovations, develop business plans, generate promotional content, write social media copy, and create customer engagement chatbots. University students are actively involved in the implementation of the program, in alignment with the Merdeka Belajar Kampus Merdeka (MBKM) initiative. Additionally, the program supports the achievement of Sustainable Development Goal (SDG) 9, which focuses on Industry, Innovation, and Infrastructure. The expected outcomes include AI-based marketing strategies that are practical and implementable for MSMEs, as well as enhanced customer engagement through digital media. This initiative is expected to strengthen the digital capacity of Karangsong's MSMEs in facing the challenges of the digital economy.
Co-Authors Berutu, Meta Bara Novianti, Ariska Purba, Regina Humaningtyas Rehatta, Stanny Dewanty