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Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya
Published by Bale Literasi
ISSN : -     EISSN : 28094409     DOI : https://doi.org/10.58218/lambda
Core Subject : Health, Science, Education, Agriculture,
Agriculture, Biological Sciences & Forestry Education Mathematics Physics Public Health Other
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
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A Need Analysis for the Development of An Arduino-Tinkercad E-module for Preservice Science Teachers Riana Nurismawati; Amaira Utami; Putra Habib Dhitareka; Wahyuni Adam; Dita Puji Rahayu
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.v6i3.4655

Abstract

Emerging technologies such as the Internet of Things (IoT) are increasingly relevant to STEM education, requiring preservice science teachers to integrate technology in science learning. Arduino integrates programming, electronics, and practical STEM activities, while Tinkercad supports virtual simulation. However, little is known about preservice science teachers’ readiness and learning needs for Arduino-based learning. This study aimed to identify preservice science teachers’ readiness and learning needs as a basis for designing an Arduino-Tinkercad E-module, using an adapted three-aspect needs analysis (ICT readiness, target needs, and learning needs). A descriptive analysis was conducted with 168 preservice science teachers from three Indonesian universities, selected through purposive and convenience sampling, using a mixed-format questionnaire. Only 27 students (16.1%) had prior Arduino experience, while their perceived understanding of coding and basic electrical concepts was generally low-to-moderate. Students reported a strong need for structured guidance (M=4.45 of 5) and perceived basic IoT knowledge as important (M=4.20). Qualitative responses highlighted concerns and expectations for learning Arduino. Cross-tabulation also showed different patterns of perceived coding and electrical understanding between students with and without prior Arduino experience. These findings suggest that the E-module should begin at a foundational level, start with virtual simulation, and provide progressive scaffolding.
Socio Scientific Issues Based Chemistry Learning: Enhancing Environmental Literacy and Decision Making Skills R. Ahmad Zaky El Islami; Nofita Fajariyanti; Rasyid Zuhdi; Dwi Indah Suryani; Andyta Ma'rifatul Usnia
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.v6i3.4676

Abstract

21st-century educational developments demand that chemistry learning focus not only on conceptual mastery, but also on developing students' abilities to understand environmental issues and make decisions based on scientific evidence. One relevant approach is Socio-Scientific Issues (SSI), which integrates scientific concepts with real-world issues that involve social, environmental, and ethical dimensions. This study aims to examine the relationship between SSI-based chemistry learning and environmental literacy, as well as the relationship between SSI-based chemistry learning and students' decision-making skills. The research employed a quantitative approach with a correlational design. Data were analyzed separately using monova models, with SSI-based learning serving as the predictor variable for environmental literacy and for decision-making skills, respectively. The results showed that SSI-based chemistry learning has a significant relationship with environmental literacy (p < 0.001). Additionally, SSI-based chemistry learning has a significant relationship with students' decision-making skills (p < 0.001). These findings indicate that engaging students in learning centered around socio-scientific issues is associated with their ability to identify and evaluate environmental problems and consider information and consequences during the decision-making process. Thus, SSI-based chemistry learning serves as a contextual approach that supports the development of students' environmental literacy and decision-making skills in addressing real-world challenges.
Development of AI-SNSA (Artificial Intelligence–Smart Nutrition and Science Assistant) Incorporating Ngada Local Wisdom to Synergize the Free Nutritious Meals Program and Science Learning Ni Wayan Suparmi; Afrianus Gelu; M. Rizal Permadi
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.v6i3.4699

Abstract

Digital transformation in education has opened opportunities for the use of artificial intelligence (AI) as an interactive and contextual learning medium. However, the implementation of AI in science learning requires a concrete Student Worksheet (LKPD) to bridge digital interaction with classroom practice. This study aimed to develop AI-SNSA (Artificial Intelligence–Smart Nutrition and Science Assistant), realized as an AI-assisted Student Worksheet based on Ngada local wisdom, to synergize nutrition education, the Free Nutritious Meals Program (MBG), and science learning. The study employed a Research and Development (R&D) method using the ADDIE model, comprising the stages of Analysis, Design, Development, Implementation, and Evaluation. The analysis stage identified teacher and student needs, the potential of local food (uwi), Ngada local wisdom values (the Reba tradition), the MBG context, and digital readiness. The design stage produced an interactive Student Worksheet framework structured around problem orientation, investigation of food nutrients, an AI prompting zone, and reflective evaluation. The product was validated by experts in science content, nutrition, media/worksheet design, and local culture. A limited trial was conducted with 2 science teachers and 30 eighth-grade students to measure practicality, usability, and initial user responses. Quantitative data were analyzed descriptively using percentage formulas, while qualitative data were analyzed thematically. The validation results showed an overall feasibility score of 90.6% (Very Feasible), while the practicality test yielded 92.0% from teachers and 86.4% from students (Very Practical), with an overall practicality/usability index of 88.5%. The resulting AI-SNSA Student Worksheet functions as a contextual science learning instrument that connects science concepts, nutrition, local food, Ngada culture, and AI technology.
Digital Checklist as a Practical and Evaluation Tool for Operational Competency in Airport Emergency Plan Tabletop Exercises Anton Abdullah; Agung Wahyu Wicaksono; Yeti Komalasari; Wildan Nugraha
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.v6i3.4702

Abstract

This study investigated the use of a Digital Checklist during an Airport Emergency Plan (AEP) tabletop exercise initially involving 20 Aircraft Rescue and Firefighting (ARFF) personnel enrolled in the Initial Junior ARFF Training Program at Politeknik Penerbangan Palembang. The paired pretest–posttest analysis included 17 participants with complete paired data. A one-group pretest–posttest design was used to examine changes in the knowledge component of operational competency, while observations and a user questionnaire were used to assess operational actions and participants’ responses to the Digital Checklist. The pretest and posttest produced the same mean score of 92.35, and the Wilcoxon signed-rank test showed no statistically significant difference between the two measurements (p = 0.891). During the tabletop exercise, however, the recorded operational actions achieved 99.17% of the maximum score. Procedure accuracy, response speed, team coordination, and compliance with standard operating procedures each reached 100%, whereas equipment use reached 88.89%. The questionnaire produced an overall score of 94.01%, with the Digital Checklist use dimension reaching 92.94%. These results show that the Digital Checklist did not lead to a measurable improvement in knowledge scores in this study, but it was useful for organizing emergency-response actions, recording performance, and supporting monitoring and evaluation during the AEP tabletop exercise.
Integrating Ethnomathematics Cases with EdCafe AI to Enhance Students’ Mathematical Connection Ability Erika Laras Astutiningtyas; Annisa Prima Exacta; Isna Farahsanti; Andhika Ayu Wulandari; Salvador V. Briones II
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.v6i3.4708

Abstract

Mathematics is often perceived as abstract due to limited integration of cultural and real-world contexts, which restricts students’ opportunities to develop meaningful mathematical connections. This study investigates the impact of integrating ethnomathematics-based case studies with the EdCafe AI platform in a Graph Theory course. A quantitative pre-experimental one-group pretest–posttest design was applied to 18 mathematics education students over six sessions (100 minutes each). The intervention combined local ethnomathematical contexts with EdCafe AI’s interactive features and automated feedback. Students’ mathematical connection ability was assessed using an essay-based test scored on a four-point scale. Results showed a significant improvement: the mean score increased from 2.100 in the pretest to 3.483 in the posttest, with a mean gain of 1.383 points. The Wilcoxon signed-rank test confirmed statistical significance (W = 0.000, Z = ?4.001, p < .001), with all students achieving higher posttest scores. The effect size was large (r = 0.943), and the normalized gain (N-gain) of 0.728 indicated a high-gain category. These findings indicate substantial improvement following the intervention, although the absence of a comparison group limits causal inference. Practically, the results highlight the potential of combining ethnomathematics with AI-assisted learning to strengthen conceptual mastery, contextual understanding, and digital literacy in mathematics education.
SmartSasak Edu: An Adaptive NLP Mobile Framework for Contextual Sasak Language Learning Muhammad Zamroni Uska; Rasyid Hardi Wirasasmita; Baiq Desi Dwi Arianti; Lalu Habil Mani
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.v6i3.4721

Abstract

Regional languages face challenges in digital representation, learning accessibility, and the availability of technological resources for educational applications. Existing digital language learning platforms often rely on static vocabulary retrieval with limited contextual understanding and adaptive learning capabilities. This study proposes SmartSasak Edu, an adaptive Natural Language Processing (NLP)-based mobile framework to support contextual Sasak language learning. The study employed a Design Science Research Methodology (DSRM) approach consisting of requirement analysis, framework development, NLP implementation, expert validation, and usability evaluation. The framework integrates Sasak language resources, NLP-based text processing, contextual retrieval mechanisms, adaptive learning features, and mobile interaction. Evaluation was conducted through NLP component testing, expert assessment, and user usability evaluation. The NLP evaluation achieved accuracy scores of 96.40% for text normalization, 95.80% for tokenization, and 91.70% for semantic retrieval, while contextual response generation obtained 89.60% expert agreement. Expert validation resulted in 93.00% linguistic validity and 91.40% technical feasibility. Usability evaluation involving 42 students using the System Usability Scale (SUS) produced a score of 84.25, indicating positive user perceptions of usability. The findings suggest that SmartSasak Edu provides an adaptive approach for supporting regional language learning through NLP-based educational technology and contributes to low-resource NLP and AI-supported language education research.
Contextualizing Islamic Ecotheology through Sasak, Samawa, and Mbojo Cultural Practices for Nature Conservation in West Nusa Tenggara M Harja Efendi; Suhirman Suhirman; Husnul Budiatman Dani
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.v6i3.4724

Abstract

How Islamic ecotheological principles acquire culturally specific meanings and expressions in environmental conservation remains insufficiently understood, particularly across ethnocultural communities sharing a broader religious and regional context. This study examines the contextualization of Islamic ecotheology through Sasak, Samawa, and Mbojo cultural values and practices in West Nusa Tenggara, Indonesia. A qualitative interpretive multi-site design was employed, involving 30 informants equally distributed across the three communities. Data were collected through in-depth interviews, three focus-group discussions involving previously interviewed participants, direct observation, and document analysis. Data were analyzed through thematic interpretation, hermeneutic analysis, and cross-cultural comparison. The findings indicate that khalifah, amanah, mizan, and the prohibition of fasad provide shared ethical orientations emphasizing environmental responsibility and ecological balance. Among the Sasak, awiq-awiq reflects customary arrangements associated with natural-resource protection, while Samawa values, including Larap, Saling Sadu, and Saling Puji, and the Mbojo philosophy of Mori ro Mada provide culturally situated interpretations of collective responsibility. However, empirical evidence supporting specific Samawa and Mbojo conservation functions remains less direct than that supporting Sasak customary arrangements. The study proposes a religious–cultural translation framework comprising normative orientation, cultural interpretation, institutional mediation, and ecological enactment. This framework explains culturally embedded environmental responsibilities without establishing causal relationships or independently measured conservation outcomes.
Traffic-Based Operations Management Study for Human Resource Optimization at Sultan Mahmud Badaruddin II Airport Dwi Candra Yuniar; Mohammad Syukri Pesilette; Minulya Eska Nugraha
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.v6i3.4726

Abstract

This study aims to analyze the implementation of Traffic-Based Operations Management (MOT) in supporting the optimization of human resources (HR) and to analyze the alignment of HR management with traffic conditions at Sultan Mahmud Badaruddin II International Airport in Palembang. The study employs a mixed-methods approach, combining qualitative and quantitative methods. Qualitative data were obtained through interviews with the Landside Department Head, the Customer Service Leader, and the Chief of Aviation Security (AVSEC), while quantitative data were obtained through questionnaires administered to Terminal Landside and AVSEC personnel. Supporting data included passenger traffic data for 2025, the number of personnel, personnel assignments, and shift schedules. Quantitative analysis was conducted using descriptive statistics with an ideal score and continuum line approach, while qualitative data were analyzed descriptively to illustrate the application of MOT in human resource management. The research results are expected to provide an overview of the implementation of MOT as well as the degree to which the provision, placement, and shift scheduling of human resources align with traffic conditions, thereby supporting more effective and efficient human resource management in aviation operations.
The Effect of Drying Method on Physicochemical Characteristics of Gelatin Extracted from Catfish Skin (Clarias Sp.) and its Applications Annisa Miftakhul Jannah; Erma Surya Yuliana; Cristalina Jalil Marsal; Eny Latifah; Nandang Mufti
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.v6i3.4751

Abstract

This study investigates the effects of freeze drying and oven drying on the physicochemical properties and microstructural characteristics of gelatin extracted from catfish skin (Clarias sp.). The research involved a comprehensive analysis of moisture content, ash content, protein content, gel strength, viscosity, antioxidant activity, and structural integrity using scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDX). The findings revealed that freeze drying produced gelatin with notably lower moisture and ash content, higher protein content, and superior gel strength and viscosity compared to gelatin obtained via oven drying. Furthermore, freeze-dried gelatin exhibited greater antioxidant activity, indicating enhanced functional properties beneficial for food and biomedical applications. The SEM analysis demonstrated a porous and well-defined structure for freeze-dried gelatin, while oven-dried gelatin showed a denser, less porous microstructure. The EDX results confirmed a higher nitrogen content in freeze-dried gelatin, emphasizing better preservation of protein integrity. Overall, this study supports the advantages of freeze drying as an effective method for producing high-quality gelatin from catfish skin, promoting its use as a sustainable alternative in various industries.
Yield Performance Test of Two Tabia Sala Varieties (Capsicum chinense var. Tabia Sala) under Several Fertilization Packages in Lowland Areas Orlince Mamakani; I Nyoman Rai; Ni Nyoman Ari Mayadewi
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.v6i3.4769

Abstract

Tabia Sala chili pepper (Capsicum chinense var. Tabia Sala) is a local chili cultivar with potential for development through the selection of superior varieties and appropriate fertilization management in lowland areas. This study aimed to determine the effects of two Tabia Sala varieties, five fertilization packages, and their interaction on the growth, physiological characteristics, yield, and fruit characteristics of Tabia Sala chili pepper. The experiment evaluated two varieties, namely Sala 1 (V?) and Sala 2 (V?), combined with five fertilization packages: NPK single 5 g/L (P?), compound NPK 5 g/L (P?), single NPK 5 g/L + Gandasil B 2 g/L (P?), compound NPK 5 g/L + Gandasil B 2 g/L (P?), and AB Mix 5 mL/L (P?). The observed variables included number of leaves, stem diameter, leaf chlorophyll content, relative water content (RWC), days to flowering, days to first harvest, number of fruits per plant, fruit diameter, fruit weight per plant, fruit flesh thickness, number of seeds per fruit, placenta length, placenta weight, and light intensity. The results showed that variety significantly affected several growth, physiological, yield, and fruit characteristics, while fertilization significantly affected several growth, physiological, flowering, yield, and fruit characteristics. The interaction between variety and fertilization was highly significant for relative water content and number of fruits per plant, and significant for days to first harvest, fruit diameter, and placenta weight. Sala 1 combined with single NPK 5 g/L (V?P?) produced the highest number of fruits per plant (55.44 fruits), the largest fruit diameter (6.59 cm), and the highest fruit weight per plant (106.72 g), while also producing the thickest fruit flesh (6.03 mm). AB Mix 5 mL/L (P?) resulted in the earliest flowering (25.40 days after planting), while the earliest first harvest was obtained from the combination of Sala 1 with AB Mix (V?P?) at 11.96 days after flowering. These findings indicate that Sala 1 combined with single NPK 5 g/L is the most promising treatment for increasing yield and several fruit quality characteristics of Tabia Sala chili pepper under the conditions of the study.

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