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Evaluation of Environmental Risk from Heavy Metals in Sediments in Port Areas Yusrizal; Abdillah, Nuryasin; Hendrizal, Andri
Jurnal Penelitian Pendidikan IPA Vol 10 No 10 (2024): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i10.8760

Abstract

This research aims to evaluate the concentration and distribution of heavy metals in sediment in the Port area of ​​PT Pelindo Dumai Branch, which is one of the main ports in Riau Province, Indonesia. Heavy metals such as cadmium, copper, lead, mercury and zinc are known to have significant toxic effects on maritime ecosystems and can accumulate in the food chain, potentially endangering aquatic life and human health. The research methodology involves taking sediment samples from various points around the port area, which are then analyzed using spectroscopic techniques to determine heavy metal concentrations. The results showed that the concentration of heavy metals in sediments varied, with zinc having the highest concentration (average 0.019724 mg/L), followed by copper, lead, cadmium, and mercury. This variation indicates the existence of diverse sources of pollution and uneven distribution in the port area. Although cadmium and mercury concentrations are relatively low, they still raise concerns due to their high toxicity and potential accumulation in the food chain. These results emphasize the need for more intensive environmental monitoring and targeted risk management to reduce the negative impacts of heavy metals on maritime ecosystems and human health. This research provides an important scientific basis for mitigation efforts in port areas, which are crucial to ensuring the sustainability of ecosystems and the well-being of communities that depend on marine resources.
The Effect of Soil Environmental Parameters on Mangrove Tree Growth in Lingga District Kamaruddin Eddiwan; Andri Hendrizal
Jurnal Penelitian Pendidikan IPA Vol 10 No 12 (2024): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i12.9313

Abstract

This study was conducted in Lingga District, Lingga Regency with the aim of determining the effect of environmental parameters such as physical and chemical properties of soil on mangrove forest communities in Lingga Regency. The results showed that soil quality affected mangrove growth in two research locations, where the low soil pH was around 6.1-6.8 but still supported the growth of mangrove trees. The two research locations had soil from the dusty clay texture class, found in all sampling locations, and this land was still suitable for mangrove growth, so it did not interfere with mangrove life in the research location.
Rasch Model Dalam Evaluasi Instrumen Extraneous Cognitive Load Pada Media Pembelajaran Berbantuan Artificial Intelligence Putri, Iffa Ichwani; Hidayati , Nurkhairo; Kalsum , Ummi; Suryanti, Suryanti; Fauziah, Nurul; Ferazona, Sepita; Hendrizal, Andri; Lestari , Wiwit Yuli
Jurnal Kajian Pendidikan IPA Vol 6 No 1 (2026): Jurnal Kajian Pendidikan IPA
Publisher : Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jkpi.v6i1.43181

Abstract

Extraneous cognitive load (ECL) measurements are important to evaluate the quality of digital learning design, but self-report instruments need to be tested for psychometric quality. This study aims to evaluate students' ECL instruments using the Rasch model. Data was collected through a survey of 38 students using an ECL questionnaire containing 17 items with a Likert scale of 1–5, then analyzed with the Rasch Rating Scale Model to assess reliability-separation, fit items and persons, as well as targeting of persons through the Wright map, The results showed that mapping of person-items on a logit scale could be done, but the targeting was less optimal because the average person was far below the average of items. indicates low ECL dominance and limited item coverage at low range. Category diagnostics show a very uneven distribution of responses (categories 4–5 are hardly used), and the probability curve of categories that do not form a clear peak in the upper categories, so the 5 category scale function is not yet effective. It was concluded that the instrument could be used as an initial measurement of ECL, but it needed to be improved on some items and the addition of items to improve precision and interpretability.Keywords: AI, Biology, ECL, Learning Media, Technology.