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Utilization of google sites as a web-based digital marketing platform web-based digital marketing platform for MSMEs as an innovative solution to improve competitiveness competitiveness in the digital era Zalukhu, Hadirat Berkat; Zalukhu, Try Sepakat; Zega, Firdaus Sibohou; Lase, Four Steven
EcoProfit: Sustainable and Environment Business Vol. 3 No. 1: July (2025)
Publisher : Institute for Advanced Science Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/ecoprofit.v3i1.2025.1932

Abstract

Background: Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in Indonesia’s economic development, particularly in urban areas like Banjarmasin. However, their ability to compete in the digital era remains limited due to low adoption of digital marketing strategies. This study aims to examine the potential use of Google Sites as a user-friendly, accessible, and cost-effective web-based digital marketing platform for MSMEs in Banjarmasin. Prior studies have shown that the lack of technical skills and digital literacy are major barriers for MSMEs in leveraging more complex technologies. Google Sites, as part of the Google Workspace ecosystem, offers simplified tools for website creation that can address these barriers. Method: This research employed a descriptive qualitative approach through literature review. Data was collected from previous studies, government reports, and Google’s official documentation to analyze the suitability of Google Sites features for MSME digital marketing needs. Findings: The findings indicate that Google Sites provides essential functionalities—such as customizable templates, media integration, mobile responsiveness, and analytics support—that can significantly enhance MSMEs' online visibility and consumer engagement. These features align with the theoretical expectations regarding the adoption of low-barrier digital tools in small-scale enterprises. Conclusion: In conclusion, Google Sites is a feasible and innovative solution for improving the competitiveness of MSMEs in the digital economy. This study offers a contextual analysis of Google Sites specifically for MSMEs in Banjarmasin, which has not been explored extensively in prior literature. Novelty/Oriignality of this Article: The novelty of this study lies in providing a focused evaluation of Google Sites as a digital marketing tool tailored to the specific challenges of MSMEs in Banjarmasin. Unlike prior research, it connects technical platform features with local business needs using a literature-based, non-interventionist approach.
ANALISIS PROFIL PEMAHAMAN KONSEP PESERTA DIDIK BERDASARKAN REPRESENTASI KIMIA PADA MATERI FAKTOR-FAKTOR YANG MEMPENGARUHI LAJU REAKSI Lase, Alvince Stevani; Zalukhu, Try Sepakat
KATALIS: Jurnal Penelitian Kimia dan Pendidikan Kimia Vol 9 No 1 (2026): Jurnal Katalis Volume 9 Nomor 1 Tahun 2026
Publisher : Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/katalis.v9i1.13466

Abstract

Students’ understanding of the factors that influence reaction rates remains challenging due to the abstract nature of the concepts and the cognitive demand of integrating multiple levels of chemical representation. This study aims to map students’ conceptual understanding profiles based on chemical representations in the reaction rate material. The research employed a descriptive method with a quantitative approach involving 64, class XI-1 and XI-2. Data were collected using a four-tier diagnostic test and analyzed based on understanding categories, representational abilities, and subtopics. The results show that only 44.66% of students were in the concept-understanding category, while 20.70% partially understood the concepts, 35.16% did not understand the concepts, and 27.34% exhibited misconceptions. Further analysis revealed that the microscopic representation was the largest source of errors, with 22.40% falling into the non-understanding category and 21.61% into the misconception category. Understanding based on subtopics also varied, with misconceptions reaching 31.25% in the temperature subtopic and 26.56% in the surface-area subtopic. These findings highlight that low representational ability is directly associated with high levels of misconceptions. The study recommends strengthening representation-based learning and employing continuous diagnostic assessment to improve students’ conceptual structures.