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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.
Evaluation of Environmental Risk from Heavy Metals in Sediments in Port Areas Yusrizal; Nuryasin Abdillah; Andri Hendrizal
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.
Behavioral Response of Giant Freshwater Prawn (Macrobrachium rosenbergii) to the Folding Traps Riska Fatmawati; Romie Jhonnerie; Nofrizal; Dhita Widhiastika; Andri Hendrizal; Eko Prianto; Yossi Oktorini
Marine Fisheries : Journal of Marine Fisheries Technology and Management Vol. 17 No. 1 (2026): Marine Fisheries: Journal of Marine Fisheries Technology and Management
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/b3t1kq41

Abstract

The behavior of the giant freshwater prawn (Macrobrachium rosenbergii) towards folding traps is significant to identify, given its complex movement patterns and dependence on the fishing gear. This study aimed to investigate the behavioral responses of M. rosenbergii to folding traps by examining spatial movement patterns and assessing trap effectiveness across three time periods (morning, noon, and night). To achieve this, an experiment using a behavioral event analysis approach was employed to reconstruct movement trajectories, X–Y coordinates, and behavioral phases. Furthermore, the Mann–Whitney U test was utilized to compare the distributions of entry and exit frequencies as an indicator of trap retention efficiency. The results showed that prawns exhibited adaptive, stepwise spatial behavior, beginning with external exploration characterized by zigzag paths, circular movements, and approach–retract cycles, before entering the trap with an average latency of 8–10 minutes. Furthermore, 95 of 160 individuals (59.38%) successfully entered the trap, whereas 65 (40.62%) exited after initial contact. The Mann–Whitney test confirmed a significant difference between entry and escape numbers (U=63;p<0.05), with the number of successful entries being significantly higher than the number of escapes, thereby validating the structural effectiveness of the folding trap. The temporal distribution indicated that nighttime was the most effective period, with 60 individuals entering, substantially more than in the morning (28) or at noon (7). These findings highlight that the effectiveness of folding traps is closely linked to the nocturnal behavioral patterns of M. rosenbergii. Keywords: Behavioral event analysis; folding trap; Macrobrachium rosenbergii; movement pattern; trap retention effectiveness
Rasch Model Dalam Evaluasi Instrumen Extraneous Cognitive Load Pada Media Pembelajaran Berbantuan Artificial Intelligence Iffa Ichwani Putri; Nurkhairo Hidayati; Ummi Kalsum; Suryanti Suryanti; Nurul Fauziah; Sepita Ferazona; Andri Hendrizal; Wiwit Yuli Lestari
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.
Integration of Higher Order Thinking Skills and Biological Literacy Among Students: A Gender Comparison Study Gita Septi Rahmadwi; Iffa Ichwani Putri; Nurkhairo Hidayati; Nurul Fauziah; Sepita Ferazona; Andri Hendrizal
JIPI (Jurnal IPA & Pembelajaran IPA) Vol. 10 No. 2: JUNE 2026
Publisher : Universitas Syiah Kuala, in collaboration with the Perkumpulan Pendidik IPA Indonesia (PPII), (MoU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jipi.v10i2.1884

Abstract

Measuring biological literacy and higher order thinking skills (HOTS) is crucial, yet evidence on how assessment types and gender impact these competencies remains limited. Therefore, this study aims to analyze students’ integrated HOTS in biological literacy based on assessment types and gender. Employing a quantitative approach with a comparative design involving 129 11th-grade high school students, comprising 42 males and 87 females. The research instrument consisted of a biological literacy integrated HOTS test comprising 20 multiple-choice questions and 5 essay questions on the human digestive system. The instrument was validated by learning experts and biology subject experts, and its reliability was tested using Cronbach’s alpha. Data were analyzed using descriptive statistics and an independent samples t-test. The results showed the instrument was highly valid category (92.71%) and reliable (0.785 for multiple-choice questions and 0.780 for essay questions). Findings revealed that students’ HOTS achievement on multiple-choice questions (80.89) was higher than on essay questions (62.33). Additionally, a significant gender difference was found 0.041 (<0.05), where female students achieved a higher average HOTS score than male students. This study indicates that integrating HOTS with biological literacy through graphical representations, tables, and images can support the assessment of students’ analytical, evaluative, and creative thinking skills in biology learning
Utilization of Generative Artificial Intelligence in Biology Learning: Expert and Empirical Validation Analysis in High School Students Lizawati Lizawati; Iffa Ichwani Putri; Nurkhairo Hidayati; Yeyendra Yeyendra; Andri Hendrizal
JIPI (Jurnal IPA & Pembelajaran IPA) Vol. 10 No. 2: JUNE 2026
Publisher : Universitas Syiah Kuala, in collaboration with the Perkumpulan Pendidik IPA Indonesia (PPII), (MoU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jipi.v10i2.1889

Abstract

The rapid integration of generative artificial intelligence (AI) in education offers transformative potential, yet its implementation in specific subjects like biology often lacks validated evaluation instruments. This study aims to analyze the results of expert and empirical validation of the use of generative artificial intelligence in biology learning at the high school level. This study used a quantitative approach with an evaluative design. The main stages of the study consisted of expert validation and empirical testing. Data analysis was conducted descriptively and empirically. The empirical test was conducted on 35 high school students to test the validity and reliability of the items using correlation product-moment and Pearson. The results of the study indicate that the content validity index (CVI) analysis of the generative AI instrument in biology learning is highly valid, with an average indicator percentage of 94.17. The results of empirical testing of 40 questionnaires on the use of generative AI through product-moment correlation found 32 valid items (80%) and 8 invalid items (20%). Meanwhile, testing with Pearson correlation showed 22 highly significant items (55%), 6 significant items (15%), and 12 insignificant items (30%). The reliability test showed a value of 0.925 (highly reliable). Based on these findings, it can be concluded that the results of expert and empirical validation can be declared valid and reliable. Furthermore, this instrument can be implemented in schools
Peran Artificial Intelligence (AI) dalam Mengelola Beban Kognitif Mahasiswa Biologi: Kajian Sistematis Ichwani Putri, Iffa; Fauziah, Nurul; Ferazona, Sepita; Kalsum, Ummi; Hendrizal, Andri
Biology and Education Journal Vol. 5 No. 1 (2025): Biology and Education Journal (BaEJ)
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/baej.2025.22896

Abstract

Studi ini bertujuan untuk menganalisis literatur secara komprehensif mengenai penggunaan teknologi kecerdasan buatan (AI) dalam mendukung proses pembelajaran di bidang biologi, khususnya dalam konteks pengelolaan beban kognitif. Hal ini berdasarkan banyaknya kompleksitas konsep dan terminologi dalam biologi, beban kognitif menjadi hambatan dalam mencapai efektivitas pembelajaran. Metode yang digunakan adalah systematic literature review (SLR) berbasis pedoman PRISMA, sebanyak 25 artikel ilmiah yang dipublikasikan antara tahun 2017 hingga 2023 yang dianalisis secara tematik dan kualitatif. Hasil kajian mengidentifikasi berbagai cara pemanfaatan AI dalam memfasilitasi pembelajaran, mendukung pemahaman konsep, memprediksi kebutuhan belajar, serta menyediakan bimbingan cerdas yang adaptif. Studi-studi yang direview menunjukkan bahwa aplikasi berbasis AI, baik dalam format web maupun mobile, memberikan dampak signifikan terhadap peningkatan kemudahan dan kenyamanan belajar. Integrasi pendekatan multidisipliner, termasuk psikologi kognitif, ilmu afektif, dan teknologi pendidikan dengan AI, terbukti mampu meningkatkan efisiensi dan efektivitas proses pembelajaran. Kajian ini menegaskan bahwa implementasi AI dalam pendidikan harus mempertimbangkan beban kognitif yang dihadapi mahasiswa, serta memanfaatkan potensi AI untuk menciptakan lingkungan belajar yang lebih adaptif, personal, dan responsif terhadap kebutuhan individu.