cover
Contact Name
Khaerus Syahidi
Contact Email
lambda.jurnal@gmail.com
Phone
+6281804457866
Journal Mail Official
lambda.jurnal@gmail.com
Editorial Address
Jalan Basuki Rahmat-Praya Lombok Tengah
Location
Kab. lombok timur,
Nusa tenggara barat
INDONESIA
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya
Published by Bale Literasi
ISSN : -     EISSN : 28094409     DOI : https://doi.org/10.58218/lambda
Lambda adalah Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya yang diterbitkan oleh Lembaga Bale Literasi. Terbit tiga kali setahun yakni setiap bulan April, Agustus dan Desember. Focus & Scope : Education Assessment and Evaluation Curriculum Development Distance Learning Higher-Order Thinking Learning Resources Models of Teaching Teacher Professional Development Learning and Cognitive Style Mathematics, Biology, Physics, Chemistry, and Natural Science Natural and Applied Science Biological sciences Biodiversity Biotechnology Chemistry Environmental sciences Physics Mathematics Engineering Healthcare Sciences
Arjuna Subject : Umum - Umum
Articles 461 Documents
Development of Arduino Uno Based Learning Media to Improve Conceptual Understanding of Temperature and Heat Material Bahrur Rahman Hasba; Salwa Rufaida; Nurazmi Nurazmi
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 3 (2026): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i3.4796

Abstract

Research has been conducted on the development of Arduino Uno-based learning media to improve students’ conceptual understanding of temperature and heat material at SMA Negeri 22 Gowa. This study aims to develop valid, practical, and effective Arduino Uno-based learning media for supporting students’ conceptual understanding. The research employed a Research and Development (R&D) approach using a modified 4D development model consisting of Define, Design, Develop, and Disseminate stages. The limited trial involved 32 students of Grade XI at SMA Negeri 22 Gowa. Data were collected through expert validation sheets, teacher and student response questionnaires, and a conceptual understanding test administered through pretest and posttest. The validity results showed that the Arduino Uno-based learning media obtained a Gregory coefficient of 0.70, while the student worksheet, teaching module, teacher response questionnaire, student response questionnaire, and conceptual understanding test obtained coefficients of 0.83, 0.88, 0.94, 0.94, and 0.92, respectively. The practicality results showed an average teacher response of 4.60 (92.00%) and an average student response of 4.61 (92.20%), both categorized as very practical. The effectiveness analysis showed an increase in the mean score from 23.44 in the pretest to 81.94 in the posttest, with an N-Gain score of 0.77, categorized as high. The paired-samples t-test also showed a significant difference between the pretest and posttest scores (t = 192.096, df = 31, p < 0.001). These results indicate that the developed Arduino Uno-based learning media is valid, very practical, and effective for improving students’ conceptual understanding of temperature and heat material.
Nephroprotective Effects of Sunkist Orange (Citrus sinensis (L.) Osbeck) Peel Nanoparticles in Diabetic Wistar Rats (Rattus norvegicus) Verlly Aldo Marpaung; Cindy Simbolon; Ferdinando Motuho Baeha; Maya Sari Mutia; Widya Yanti Sihotang
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 3 (2026): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i3.4807

Abstract

This exploratory laboratory study assessed renal and oxidative responses to Sunkist orange peel (Citrus sinensis (L.) Osbeck) granules, designated nanoparticle granules in the protocol. A post-test-only control group design included 24 male Wistar rats allocated to six groups (four per group): non-induced control, alloxan-only control, metformin, and granules at 100, 200, or 300 mg/kg body weight (BW). After seven days of acclimatization, five groups received alloxan monohydrate (120 mg/kg BW, intraperitoneally) on one induction day; oral treatment continued for 21 days. The numerical glucose criterion and interval used to confirm diabetes were not documented. Compared with the alloxan-only group, mean superoxide dismutase (SOD) was highest at 100 mg/kg BW (0.545 versus 0.317 U/mL; 71.9% higher), whereas mean malondialdehyde (MDA) was lowest at 300 mg/kg BW (0.464 versus 0.740 nmol/mL; 37.3% lower). Mean urea was lowest at 200 mg/kg BW (28.00 versus 92.00 mg/dL; 69.6% lower) but rose to 61.00 mg/dL at 300 mg/kg BW. Overall differences were reported for SOD and MDA (ANOVA, both p < 0.001), urea (p = 0.013), morphology (p = 0.002), and histopathology (p < 0.001). No pairwise difference in urea or renal injury scores remained significant after Bonferroni correction. Responses were not uniformly dose-dependent. These preliminary, endpoint-specific trends do not establish nephroprotective efficacy or dose superiority; interpretation is limited by the small sample, short duration, incomplete glycemic documentation, and incomplete formulation and assay documentation.
Multidimensional Profiling of Students as a Basis for Planning Adaptive and Differentiated Science Learning Indri Nurwahidah; Anggita Aprilia Utami; Dyah Ayu Safitri; Muhammad Galih Al Furqon; Nadia Amalia Falentin Hidayah; Novella Igga Maharani; Nuril Idha Puspitaningtyas
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 3 (2026): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i3.4813

Abstract

The understanding of teachers about student profiles is essential, so that learning experiences by which diverse levels of readiness and learning needs are responded to can be designed. This study was aimed at describing the profiles of junior high school students as a basis for the design of deep, adaptive, and differentiated science learning. A descriptive quantitative approach was used, and 32 eighth-grade students of Class VIII G at SMP Negeri 7 Semarang were involved. The data were collected through diagnostic tests, classroom observations, and interviews, so that the initial abilities, learning preferences, interests, learning barriers, and support needs of the students could be identified. From the findings, it was shown that 43.75% of the students were classified as proficient, 37.50% as intermediate, and 18.75% as requiring additional guidance. For the learning preferences, a visual preference was shown by 46.875% of the students, a kinesthetic preference by 28.125%, and an auditory preference by 25.00%. In the main finding, the heterogeneity of the abilities, preferences, interests, barriers, and support needs of the students within a single classroom is highlighted. By these profiles, the need for differentiated task complexity, readiness-based scaffolding, flexible grouping, formative assessment, and multimodal representations is indicated. Based on these findings, differentiated and multimodal Problem-Based Learning (PBL) is recommended as a potential instructional framework, by which deeper, more adaptive, and more responsive science learning that accommodates diverse student needs can be promoted.
VIR-GO: Indigenous Knowledge-Based Virtual Reality Media for Enhancing Students’ Disaster Literacy in Science Learning Nofita Fajariyanti; Andika Febrian; Siti Apriliyanti; Irma Aryasa Fitriani Baehaqi
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 3 (2026): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i3.4830

Abstract

Indonesia is located within the Ring of Fire, making it highly vulnerable to various natural disasters, such as earthquakes, tsunamis, and volcanic eruptions. However, this high disaster potential is not yet fully accompanied by adequate student knowledge and understanding of disaster phenomena and appropriate mitigation actions. This study aims to develop Virtual Reality Based on Indigenous Knowledge (VIR-GO) as an educational medium for natural disaster mitigation in science learning for junior high school students. The research employed the Hannafin and Peck development model, which consists of three phases: needs assessment, design, and development and implementation. The needs assessment phase involved 83 junior high school students in Banten Province. The design phase resulted in the creation of a coastal virtual environment, disaster simulation scenarios, risk exploration activities, and the integration of Baduy indigenous wisdom. The development phase was conducted through validation testing with 5 media and science education experts, while the practicality test involved 60 student respondents from junior high schools in Banten Province. The results revealed that VIR-GO achieved a feasibility score of 94.9%, categorized as "highly valid," and a practicality score of 90.33%, categorized as "highly practical." VIR-GO holds strong potential as a visual, immersive, and contextual instructional medium that integrates science concepts, disaster mitigation education, the environment, and local culture.
Antifungal Efficacy of Andaliman (Zanthoxylum acanthopodium DC.) Fruit Extract Ointment in a Trichophyton rubrum–Induced Rat Model of Dermatophytosis: A Histopathological Evaluation Adela Sandrina; Sarah Yuliansen Br Simanjuntak; Jo Berube; Alya Dinda Karimah Daulay; Jesslyn Angel Tanaka; Aryo Goro; Linda Chiuman; Ikhwanul Hakim Nasution
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 3 (2026): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i3.4912

Abstract

This study evaluated andaliman (Zanthoxylum acanthopodium DC.) fruit ethanol-extract ointment in Trichophyton rubrum dermatophytosis using serial lesion measurements and terminal histopathology. Twenty-five male Wistar rats (Rattus norvegicus) were allocated to vehicle, terbinafine 1%, or nominal 10%, 30%, and 50% extract ointments (n = 5/group). Dermatophytosis was induced with T. rubrum ATCC 28188 (100 µL, 1 × 10? conidia/mL) and confirmed by clinical signs and potassium-hydroxide microscopy approximately 10 days after inoculation. Treatment was applied once daily for 10 days. Lesion area was measured on treatment days 2, 4, 6, 8, and 10; H&E inflammation and PAS fungal-element scores were assessed on treatment day 11. Screening detected tannins, flavonoids, alkaloids, terpenoids, and saponins. Groups did not differ on day 2 (p = 1.000), but differed from day 4 onward (Welch ANOVA, all p < .001). On day 10, lesion area was 7.06 ± 2.17 mm² with nominal 50% ointment and 7.63 ± 1.82 mm² with terbinafine (Games–Howell p = .990), versus 192.88 ± 28.42 mm² with vehicle. H&E scores differed among groups (H[4] = 24.000, p < .001), with medians of 1 for nominal 50% ointment and 3 for vehicle. PAS scores were 2 in every active-treatment group and 3 with vehicle (H[4] = 24.000, p < .001). The nominal 50% formulation warrants confirmatory preclinical testing, but these results establish neither therapeutic equivalence nor fungal eradication.
Spatial Characterization of Local Seismic Site Response Based on Vs30 and HVSR Parameters in Setiling Village, Central Lombok Syarifatul Ulfah; Muhamad Yamin; Bagus Widhi Dharma S.
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 3 (2026): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i3.4939

Abstract

Local seismic site response is influenced by variations in near-surface stiffness and subsurface dynamic characteristics. This study characterizes the spatial variability of local seismic response in Setiling Village, Central Lombok, Indonesia, by integrating VS30 and Horizontal-to-Vertical Spectral Ratio (HVSR) parameters. Twenty observation points were analyzed using previously established VS30 data and ambient-noise microtremor records processed using the HVSR method to obtain the predominant frequency (f?) and peak spectral amplitude (A?). The empirical seismic response index (Kg) was calculated from the HVSR parameters. Spatial distributions were mapped using inverse distance weighting (IDW) interpolation, and pairwise relationships between VS30 and the HVSR-derived parameters were examined to identify spatial response patterns. The results reveal spatial contrasts between areas characterized by relatively higher VS30 and predominant frequency and lower A? and Kg, and areas exhibiting the opposite pattern. Three relative site-response domains—High, Intermediate, and Low—were delineated qualitatively based on the integrated spatial patterns of VS30, f?, A?, and Kg, without applying formal statistical thresholds or predefined numerical classification boundaries. The integration provides complementary information by combining average shear-wave velocity in the upper 30 m, represented by VS30, with the predominant frequency and relative peak amplitude derived from HVSR analysis. The Kg index further summarizes the amplitude–frequency characteristics according to the adopted formulation. This approach helps identify spatial differences in spectral behavior that may not be fully represented by VS30 alone. The resulting domains describe relative site-response conditions rather than standardized soil classes, deterministic earthquake-hazard levels, or structural-vulnerability classes. The findings provide a preliminary basis for prioritizing further site-specific seismic investigations in heterogeneous volcanic terrain.
A Performance-Based Aviation Security (AVSEC) Management Model and Screening Procedures for Risk Mitigation at Sultan Mahmud Badaruddin II International Airport Mohammad Syukri Pesilette; Dwi Candra Yuniar; Minulya Eska Nugraha; Yeti Komalasari
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 3 (2026): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i3.4947

Abstract

Aviation security is essential for preventing and mitigating threats to airport operations. This study examines the influence of Aviation Security (AVSEC) officers’ performance and security screening procedures on aviation security risk mitigation and proposes an integrated management model. A mixed-methods approach was conducted at Sultan Mahmud Badaruddin II International Airport, Palembang, during July–August 2026. Quantitative data from 95 AVSEC officers were analysed using descriptive statistics and multiple linear regression, while qualitative data were obtained from three key informants through interviews, observations, and documentation to provide contextual explanations for the quantitative results. The findings revealed that AVSEC officers’ performance significantly influenced risk mitigation (? = 0.235; p = 0.011), while screening procedures demonstrated a stronger significant influence (? = 0.439; p < 0.001). Both variables simultaneously influenced risk mitigation (F = 20.466; p < 0.001; R² = 0.308). Quantitative data were collected from 95 AVSEC officers and analysed using descriptive statistics and multiple linear regression, while qualitative data were obtained through interviews with 3 key informants, observations, and documentation, with these qualitative findings serving to provide a contextual explanation for the quantitative results. Integrating quantitative and qualitative findings, this study proposes an aviation security management model comprising four pillars: human resource strengthening, adaptive security procedures, smart security technology and facilities, and inter-agency coordination. The proposed model aims to enhance aviation security risk mitigation effectiveness through coordinated and comprehensive security management.
The Effect of Green Supply Chain Management on Operational Performance through Production Efficiency in Poultry Slaughterhouse SMEs in Pandaan District Nuriyanto; Miftahul Huda; Abdul Wakhid
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 3 (2026): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i3.4974

Abstract

Poultry slaughterhouse SMEs operate at the intersection of resource-intensive processing, perishable raw materials, and environmental pressures, making supply-chain greening and production efficiency central to operational performance. This study examines the effects of Green Supply Chain Management (GSCM) on operational performance and production efficiency among poultry slaughterhouse SMEs in Pandaan District, Pasuruan Regency, Indonesia. A quantitative explanatory design was employed. The population comprised 20 active poultry slaughterhouse SMEs, all of which were included using saturated sampling. Data were collected from owners or managers through a five-point Likert-scale questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4.0. The measurement model satisfied convergent validity and internal consistency requirements, with outer loadings of 0.790–0.913, composite reliability above 0.90, and AVE values of 0.689–0.757. The structural model showed that GSCM had a positive and significant effect on operational performance (?=0.506; t=3.536; p<0.001) and production efficiency (?=0.381; t=3.508; p<0.001). Production efficiency also had a positive and significant effect on operational performance (?=0.386; t=2.606; p=0.009). The model explained 83.6% of the variance in operational performance and 66.3% of the variance in production efficiency. These findings demonstrate that environmentally oriented supply-chain practices strengthen operational outcomes both directly and through improvements in production efficiency. The results therefore support production efficiency as an important operational mechanism linking GSCM practices with the performance of small-scale poultry slaughterhouses.
Integrating Artificial Intelligence, Embodied Cognition, and Inquiry-Based Learning in Science Education: A Literature Review Abdul Gani; Agus Abhi Purwoko Purwoko; Agus Ramdani Ramdani; Aliefman Hakim Hakim; Aris Doyan Doyan; AA Sukarso Sukarso
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 3 (2026): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i3.4984

Abstract

Science education requires learning environments that engage students in constructing knowledge through inquiry, experience, interaction, and reasoning. This literature review examines research trends on artificial intelligence, embodied cognition, and inquiry-based learning in science education, their contributions to science learning, opportunities for integration, and challenges, research gaps, and design principles. A narrative literature review was conducted using Springer and ScienceDirect with the keywords artificial intelligence, embodied cognition, and inquiry. The findings indicate that artificial intelligence contributes through scaffolding, adaptive feedback, personalization, and support during inquiry processes. Embodied cognition supports conceptual understanding through physical action, sensorimotor perception, and interaction with the environment. Inquiry-based learning provides a pedagogical structure for question formulation, investigation, data collection and analysis, and reflection, supporting higher-order thinking. The literature suggests that these approaches can be integrated by positioning inquiry-based learning as the pedagogical framework, embodied cognition as the basis for learning through action and interaction, and artificial intelligence as an adaptive support mechanism. However, empirical evidence on their integration remains limited, with challenges involving teacher artificial intelligence literacy, over-reliance, cognitive load, task design, technology access, and learning orchestration.
The Effect of Local Wisdom-Based Deep Learning on Elementary School Students' Scientific Literacy and Cultural Literacy Nina Riska; R. Ahmad Zaky El Islami; Erwin Salpa Riansi
Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Vol. 6 No. 3 (2026): Lambda
Publisher : Lembaga Bale Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/lambda.v6i3.5014

Abstract

Scientific literacy among Indonesian elementary school students remains low, as reflected in the country's below-average science score in the 2022 PISA assessment, partly because instruction is often decontextualized and does not link scientific concepts to students' local cultural contexts. Local wisdom-based deep learning offers a way to meet this need by developing scientific literacy and cultural literacy together. This study examined its effect on (1) scientific literacy, (2) cultural literacy, and (3) both literacies simultaneously. A quasi-experimental pretest-posttest control group design was employed, involving 66 fifth-grade students from a state elementary school in Rangkasbitung District, Lebak Regency, Banten Province: 33 students in an experimental group taught through local wisdom-based deep learning using Problem Based Learning, and 33 students in a control group taught conventionally. Data were analyzed using the Independent Sample T-Test and Multivariate Analysis of Variance (MANOVA) after the assumptions of normality and homogeneity were tested. The results showed a significant effect of local wisdom-based deep learning on scientific literacy, on cultural literacy, and on both literacies combined. These findings indicate that integrating local wisdom into deep learning can strengthen scientific and cultural literacy in an interdependent manner in elementary education.