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Relationship between Scientific Attitude and Student Learning Outcomes In the Microbiology Course Efgivia, M. Givi; Sumarmi, Sumarmi; Suciana, Ewin
JOURNAL EDUCATIONAL OF NURSING(JEN) Vol 4, No 1 (2021): Journal Educational of Nursing (JEN)
Publisher : Akademi Keperawatan RSPAD Gatot Soebroto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37430/jen.v4i1.80

Abstract

One of the educational problems faced by Indonesia is the low critical thinking skills of students. The purpose of this study was to determine the relationship between scientific attitudes and student learning outcomes (critical thinking) in the Microbiology course. The method used in this research is correlation. The sample in this study were 28 students. Analysis of the data used in this study using the Kolmogorov-Smirnov data normality test and the Pearson product moment correlation test. The results of this study indicate a relationship between scientific attitudes and learning outcomes which can be seen from the sig value. equal to 0, 343. Meanwhile, the relationship between scientific attitudes and learning outcomes is 46.3%.
Pemanfaatan IoT untuk Efisiensi Energi pada Pabrik Pintar: Tantangan, Solusi dan Tren Teknologi Suciana, Ewin; Nasrullah, Muhammad Hudzaifah; Christanto, Duta Arief; Cahyadi, Dede; Giantri, Lilik Tiara
Jurnal Teknologi Terpadu Vol 11 No 1 (2025): Juli, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v11i1.1897

Abstract

This study investigates the role of the Internet of Things in enhancing energy efficiency within smart factories by analyzing current trends, driving factors, and challenges. A Systematic Literature Review with the PRISMA framework was employed to ensure systematic and comprehensive selection of studies. The PICO framework guided the formulation of research questions, facilitating rigorous screening of data sourced from the Scopus database with strict inclusion and exclusion criteria. Findings reveal a substantial increase in IoT-related energy efficiency research in smart factories between 2019 and 2025. Key challenges identified include high sensor energy consumption, communication reliability, and network management complexity. Research limitations stem from the exclusive use of the Scopus database and English-language publications. The study highlights the necessity of interdisciplinary approaches and advanced technologies such as 5G and edge computing to address integration and data security issues, thereby supporting the effective and sustainable deployment of IoT in the manufacturing sector.
Optimizing Digital Transformation Through AI and Cloud Technology Integration for Innovation in Big Data-Driven Information Systems Giantri, Lilik Tiara; Hudzaifah, Muhammad; Suciana, Ewin; Arief Christanto, Duta; Cahyadi, Dede
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10067

Abstract

Digital transformation has become critical for SMEs in emerging economies, yet integrated studies combining AI, cloud computing, and human factors remain scarce. This study addresses this gap by developing a holistic framework for Indonesian SMEs through a systematic literature review. Using PRISMA protocol, we analyzed 46 peer-reviewed articles (2020-2025) from Scopus, IEEE Xplore, and Google Scholar, with thematic synthesis in NVivo 12.  The proposed framework reveals three interdependent dimensions: (1) technological integration (AI-cloud-big data synergy), (2) process optimization (automation and analytics), and (3) human-digital leadership (competency and cultural readiness). Case studies show 35% operational efficiency gains but highlight infrastructure and skill gaps. This study contributes a novel integration of TOGAF and DCMM theories, offering policymakers a roadmap for SME digitalization while cautioning against one-size-fits-all solutions.
The Influence of Digital Literacy on the Learning Readiness of Midwifery Students in the Technology Era Suciana, Ewin; Ladjamuddin, Siti Madinah; Siswosuharjo, Partono
JIKO (Jurnal Ilmiah Keperawatan Orthopedi) Vol. 10 No. 1 (2026): JIKO (Jurnal Ilmiah Keperawatan Orthopedi)
Publisher : Unit Penelitian dan Pengabdian Masyarakat STIKES Fatmawati Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46749/7q6b3017

Abstract

Digital transformation in midwifery education requires students to possess adequate digital literacy to effectively engage in technology-based learning processes. This study aims to develop and evaluate a digital literacy learning product and to analyze the impact of digital literacy on the learning readiness of midwifery students in the technological era. The study employs a Research and Development (R&D) approach comprising stages of needs analysis, product design, development, expert validation, limited trials, and effectiveness testing. The research subjects consisted of 100 midwifery students whose digital literacy and learning readiness were measured before and after using the product. Data were collected using digital literacy and learning readiness instruments that had undergone validity and reliability testing. Analysis was conducted using descriptive statistics, paired t-tests, Pearson correlation, and multiple linear regression. The results indicate that the developed learning product was rated as highly feasible by experts. Scores for digital literacy and learning readiness increased following the intervention. Bivariate analysis revealed a positive and significant relationship between digital literacy and learning readiness, while multivariate analysis showed that specific dimensions of digital literacy collectively contributed to students' learning readiness. These findings suggest that the systematic development of digital literacy can serve as a crucial strategy to enhance midwifery students' readiness for increasingly digitized learning and healthcare practice.