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Deep Learning in Biology: 3D Representation of Online and Reality Suprapto, Purwati K.; Ardiansyah, Ryan; Chaidir, Diki M.; Baiq , Baiq; Meylani, Vita
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 3 No. 4 (2022): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.03.04.09

Abstract

Deep learning is required to examine biological material, particularly abstract content, either in the laboratory alone or with internet literature. This study aims to compare the effectiveness of learning through practicum versus learning through a combination of practicum (real-world data) and online literature review in terms of the ability to represent the three-dimensional (3D) model of plant tissue structure in a plant anatomy course. This study employed a quantitative approach with a quasi-experimental design in the posttest alone control group. This research used Purposive sampling to choose the research sample, which consisted of two classes of students enrolled in a plant anatomy course. ANOVA was used to analyze the data, with a significance level of 0.05. The results indicated a significant difference in learning when combined practicum was with online literature study visuospatial when practicum was used alone with a more excellent 3D model representation value in the class. Classes that combine an applied practicum with an online literature review have a grade point average of 73.61.
The Relationship Between Intrapersonal Intelligence and Learning Motivation on Student Learning Outcomes in Biology Subjects Rahmawati, Nadhya; Mustofa, Romy Faisal; Ardiansyah, Ryan
Jurnal Bioterdidik: Wahana Ekspresi Ilmiah Vol 11, No 2 (2023): Jurnal bioterdidik
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research is a correlational study that aims to determine the correlation between intrapersonal intelligence and learning motivation on learning outcomes. The research sample was  55 students by saturated sampling technique. Data collection techniques used documentation and an intrapersonal intelligence questionnaire with 45 statement items and a learning motivation questionnaire with 32 statement items. Data were analyzed using statistical analysis of product moment correlation test, simple regression and multiple regression. The results of the study show that (1) there is a corellation between intrapersonal intelligence and learning outcomes with a correlation value of 0,351. (2) there is a correlation between learning motivation and learning outcomes with a correlation value of 0,400. (3) there is a correlation between intrapersonal intelligence and learning motivation on learning outcomes with a correlation value of 0,472. So it can be concluded that there is a positive correlation between intrapersonal intelligence and learning motivation on student learning outcomes.
Integrasi Artificial Intelligence sebagai Inovasi Perancangan Perangkat Pembelajaran dan Asesmen Guru IPA Ardiansyah, Ryan; Suprapto, Purwati Kuswarini; Fitriani, Rita; Diella, Dea; Suhendi, Herni Yuniarti
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 6 No 1 (2025): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v6i1.27964

Abstract

The rapid development of artificial intelligence (AI) offers great potential to enhance the quality of education, particularly in supporting the implementation of the Merdeka Curriculum. This community service program aimed to improve teachers’ competencies in utilizing AI, specifically ChatGPT and GEMINI, to develop innovative learning tools. The training and mentoring activities were conducted at SMPN 1 Singaparna, Tasikmalaya Regency, involving 26 science teachers. Evaluation was carried out through pretests and posttests to measure participants’ knowledge improvement, workshops to produce learning products, and monitoring of classroom implementation. Pretest results showed that 65% of participants had a low understanding of AI concepts and the Merdeka Curriculum. After the training, 85% demonstrated good understanding. The workshop produced 10 AI-based learning tools that were assessed as innovative, relevant, and creative. Monitoring indicated that 75% of participants successfully integrated these tools into their classroom practices. This success was influenced by hands-on training, continuous mentoring, and teacher collaboration. However, some participants still faced challenges in adapting the tools to individual student needs. The program demonstrates that collaborative practice-based training and mentoring effectively enhance teacher competencies and foster the creation of technology-based learning innovations aligned with the demands of the Merdeka Curriculum.
Low Testosteron Level in Worsening Symptom of Heart Failure Patients: A Literature Review Ardiansyah, Ryan; Sauqy, Akhmad Sandy
Cardiovascular and Cardiometabolic Journal (CCJ) Vol. 6 No. 2 (2025): Cardiovascular and Cardiometabolic Journal
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ccj.v6i2.2025.97-107

Abstract

Abstract Background: Heart failure can be caused by a variety of factors, including high blood pressure, coronary artery disease, diabetes, obesity, smoking, and genetics. Testosterone is the primary male hormone responsible for regulating sex differentiation, producing male sex characteristics, spermatogenesis, and fertility. It plays a crucial role in various bodily functions, including the development of male reproductive tissues and the maintenance of muscle mass and bone density. Testosterone levels have been found to be significantly decreased in heart failure patients compared to healthy controls. This suggests that low testosterone levels may play a role in the development or progression of heart failure. The relationship between testosterone and heart failure is complex and warrants further investigation. Additional research is needed to better understand the role of testosterone in heart failure and to determine the optimal therapeutic strategy for its management. Based on these data, we decided to further investigate how low testosterone levels affect the symptoms of heart failure patients. Aims: This literature review study aims to examine further how low testosterone levels affect the symptoms of heart failure patients. Method: Journals in this literature review used three databases, including Google Scholar, PubMed, and Science Direct, using the keywords "testosterone" and "heart failure." The literature search was adjusted based on the inclusion and exclusion criteria. Result: The search results were obtained from 10 international journals. The results showed that testosterone is crucial in maintaining men's health and well-being. Testosterone deficiency was associated with a worsening of HFpEF in men, those with lower testosterone levels had worse symptoms and a lower quality of life. Conclusion: Testosterone exerts an important regulation of cardiovascular function through genomic and nongenomic pathways. It influences contractility, energy metabolism of myocardial cells, apoptosis, and the remodeling process. Reduced testosterone levels in men with heart failure are associated with increased mortality and poor prognosis. -- Highlights: 1. Testosterone deficiency is associated with worsening symptoms and poorer quality of life in men with heart failure with preserved ejection fraction (HFpEF). 2. The role of testosterone in cardiovascular health is multifaceted—its deficiency may contribute to adverse cardiac remodeling, while excessive levels may increase thromboembolic and inflammatory risks.