University of Pattimura

Abstract Background Preeclampsia is a significant cause of maternal morbidity and mortality, often influenced by maternal nutrition. Calcium and zinc are essential micronutrients implicated in the prevention of preeclampsia. This study examines their levels in pregnant women consuming seafood in Ambon City as a local data that could support global data. Methods This analytical observational study used a case-control design. Calcium and zinc levels were assessed in 120 pregnant women (60 with preeclampsia, 60 without preeclampsia) attending medical facilities in Ambon from June to October 2024. Statistical analyses, including Chi-square tests, were performed. A P-value < 0.05 was considered statistically significant. Results Pregnant women with preeclampsia in Ambon City had lower calcium levels than those without preeclampsia, especially among those consuming less than four pieces of sea fish per day (≈ 120 g each) (borderline (OR = 3.143, p = 0.053)). Zinc levels showed no significant difference. Women with preeclampsia had a 10.286-fold increased likelihood of low calcium levels. Conclusion In Ambon City, pregnant women with preeclampsia have lower calcium levels than those without, while zinc levels remain similar between both groups. Higher fish consumption (at least four medium-sized pieces per day) is linked to higher calcium levels in both preeclamptic and non-preeclamptic women, but zinc levels are unaffected by fish intake.

Introduction:Adherence to weekly iron/folic acid (IFA) supplementation, a vital intervention to combat anaemia among adolescent girls, remains a global challenge, including in Maluku Province, Indonesia. This study assessed the effect of "Jaga Diri" application, in enhancing knowledge and adherence to IFA supplementation among adolescent girls from Salahutu Sub-District of Maluku Province, Indonesia. Methods:In mid-2024, a quasi-experimental study was conducted among 82 adolescent girls from two senior high schools in Salahutu Sub-District, Maluku Province, Indonesia. The intervention group used the "Jaga Diri" Android-based application for four weeks, which delivered weekly reminders and brief educational messages on anaemia and iron-folic acid (IFA) supplementation, while the control group received routine school-based services. Knowledge was measured using a validated 15-item questionnaire. Adherence was defined as consumption of ≥75% of the provided weekly IFA tablets over the previous four weeks, assessed by self-report, and supported by haemoglobin measurement. Group differences were analyzed using non-parametric and chi-square tests, and multivariable binary logistic regression was used to assess factors associated with high knowledge and adherence. Results:After four weeks of using the "Jaga Diri" application, adolescent girls from the intervention school showed a significantly higher level of knowledge about anaemia (p = 0.011) and adherence to weekly IFA supplementation (p < 0.001) than those from the control school. The improved adherence was shown by the reduction of anaemia prevalence in the intervention school, from 35% to 17.5%. In the control school, the prevalence increased from 19% to 28.6%. Conclusions:The "Jaga Diri" application effectively improves knowledge about anaemia and adherence to IFA supplementation among adolescent girls. Further investigation with larger and more varied groups are required to confirm its effectiveness before it can be widely implemented in larger areas of Maluku and Indonesia.

This study examines the influence of financial transparency and data security on user trust in peer-to-peer (P2P) lending platforms in Indonesia. The rapid growth of fintech services has increased public adoption of digital lending platforms; however, concerns regarding transparency and cybersecurity remain significant challenges affecting consumer confidence. This research employed a quantitative approach using a survey method involving 250 respondents who had experience using P2P lending platforms in Indonesia. Data were collected through structured questionnaires using a five-point Likert scale and analyzed using SPSS version 25. The results indicate that financial transparency has a positive and significant effect on user trust, demonstrating that clear and accessible financial information enhances perceptions of platform reliability and accountability. Data security was also found to positively and significantly influence user trust, indicating that strong protection of personal and financial information increases confidence in digital transactions. Simultaneously, financial transparency and data security significantly influence user trust in P2P lending services. The findings suggest that fintech companies should strengthen transparent financial communication and cybersecurity systems to maintain public trust and support the sustainable development of digital financial services in Indonesia.

Artificial intelligence (AI) is increasingly integrated into higher education, yet comparative studies of how doctoral students and professors view AI in mathematics education remain scarce, particularly in Indonesia. This study explores the perspectives of both groups through a qualitative design involving focus group discussions and semi-structured interviews with eight doctoral students and two mathematics education professors at several public universities. Data were analysed through condensation, presentation, and verification, with triangulation and member-checking ensuring credibility. Five interpretative patterns emerged: (1) heterogeneous AI adoption among doctoral students, ranging from extensive to restrictive-reflective; (2) shared epistemological grounding that AI functions as a tool rather than a substitute for conceptual mastery; (3) a proposal for differential course regulation, distinguishing a 'no AI' category for conceptual courses from a 'maximum AI' category for technology-based courses; (4) asymmetric control strategies that can be bridged through a disclosure-and-verification paradigm; and (5) complementary ethical concerns across roles. Participants also showed limited awareness of AI's potential as conversational, pedagogical, and teachable agents. While the small sample limits generalisability, these findings offer preliminary insights into how AI use is negotiated within supervisor–student relationships and suggest directions for further inquiry into AI adoption in Indonesian doctoral programmes in mathematics education.

Abstract. Kesaulya H, Hidayat W, Simarmata R, Patty J. 2025. Functional profiling of Syzygium aromaticum-associated bacteria reveals PGPR traits for tropical biofertilizer development. Biodiversitas 26: 6130-6139. Syzygium aromaticum (clove) is a tropical spice of major economic and ecological importance in Indonesia, yet the microbial communities associated with its cultivation remain poorly characterized. Harnessing native Plant Growth-Promoting Rhizobacteria (PGPR) offers a sustainable alternative to chemical inputs and supports resilient agroecosystems. This study explored the biofertilizer potential of bacterial strains isolated from S. aromaticum-growing regions in Central Maluku, Indonesia. Rhizospheric and endophytic isolates were characterized using physiological assays and 16S rRNA sequencing to assess key PGPR traits, including auxin production, phosphate solubilization, nitrogen fixation, and enzymatic activities relevant to nutrient cycling and stress tolerance. Eleven isolates were obtained, with greater diversity from the rhizosphere (9 isolates) than from leaves (2 isolates). Screening demonstrated multiple plant-beneficial traits, including indole-3-acetic acid production, phosphate solubilization, and growth in nitrogen-free medium, complemented by hydrolytic enzyme activities and catalase-based stress tolerance. Three isolates showed particularly strong multifunctional profiles: T5RCHM21 (high IAA, phosphate solubilization, nitrogen-fixation trait, broad pH tolerance), T6RCHM3 (highest phosphate solubilization and cellulolytic activity), and T4RCHM3 (very strong catalase with additional enzymatic indices). 16S rRNA analysis grouped isolates mainly within Bacillus, with Brevibacterium, and Klebsiella, supporting phenotype-driven selection and future field validation for practical application.