Article Per Year (5 Year)
p-Index From 2020 - 2025
0.817
P-Index
This Author published in this journals
All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknologi Terpadu JOURNAL EDUCATIONAL OF NURSING(JEN)
Suciana, Ewin
Unknown Affiliation
Computer Science & IT Engineering Nursing

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
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%.
Development of Android-based Interactive Learning Media in Science Learning on Space Exploration Material Suciana, Ewin
JOURNAL EDUCATIONAL OF NURSING(JEN) Vol 7, No 2 (2024): 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.v7i2.237

Abstract

This study aims to develop The purpose of this study is to develop interactive learning media based on android in science learning on space exploration material. This study uses the Research and Development method with the ADDIE method which includes the stages of Analysis, Design, Development, Implementation, and Evaluation. The subject of this study is the feasibility of interactive learning media and the object of this study is students. The feasibility test was carried out by means of individual tests (One to One) on 3 experts, namely material experts, learning experts, and media experts, as well as 3 students. In addition, small group tests were also conducted on 9 students selected based on good, moderate, and poor abilities in science subjects. The data collection technique was carried out using a questionnaire using a Likert scale. Data analysis was carried out using quantitative descriptive
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.
Co-Authors Arief Christanto, Duta Cahyadi, Dede Christanto, Duta Arief Giantri, Lilik Tiara Hudzaifah, Muhammad M. Givi Efgivia Nasrullah, Muhammad Hudzaifah