EJurnal Universitas Negeri Gorontalo
Not a member yet
9768 research outputs found
Sort by
Application of the Laguerre Perturbed Galerkin Analysis Method for Solving Higher-Order Integro-Differential Equations
No full textThis study presents the development and implementation of a novel numerical method, the Laguerre Perturbed Galerkin (LPG) method, for solving higher-order integro-differential equations. The method leverages the advantages of Laguerre polynomials as basis functions while incorporating Chebyshev polynomials as perturbation terms to enhance both accuracy and efficiency. In the LPG method, the solution is approximated using Laguerre polynomials of degree N, with the residual error minimized via the Galerkin approach. Chebyshev polynomials are introduced as perturbation terms to further refine the solution. The residual is systematically reduced to a system of (N + 1) equations, which is then solved to determine the unknown coefficients of the approximating Laguerre polynomials. Comparative analyses demonstrate that the LPG method achieves superior accuracy and faster convergence rates compared to existing techniques, particularly for higher-order integro-differential equations. The findings contribute to the advancement of numerical methods in this domain, providing a powerful computational tool for scientists and engineers
Strategi pengembangan gula aren menggunakan business model canvas
No full textStrategi adalah alat yang membantu bisnis mencapai tujuannya dalam waktu singkat. Selain itu, strategi dapat dilihat sebagai respons terhadap faktor eksternal seperti peluang dan ancaman, serta faktor internal yaitu kekuatan dan kelemahan yang dapat mempengaruhi perusahaan, strategi adalah induk komprehensif yang menjelaskan bagaimana suatu bisnis agar dapat mencapai tujuannya berdasarkan misi yang telah ditetapkan sebelumnya. Tujuan penelitian 1) Untuk mengidentifikasi model usaha bisnis yang baru, 2) Untuk menganalisis strategi alternatif dalam pengembangan usaha yang sesuai melalui analisis SWOT pada setiap elemen Business Model Canvas. Metode analisis data menggunakan 9 elemen business model canvas untuk menganalisis gambaran model usaha bisnis yang baru dan penelitian ini juga menggunakan analisis SWOT pada setiap elemen business model canvas, untuk menganalisis strategi altenatif dalam pengmebangan usaha bisnis. Hasil penelitian menunjukkan identifikasi model usaha bisnis dengan menggunakan pendekatan business model canvas terdapat enam elemen business model canvas yaitu customer segment, value proposition, customer relationship, key activities, key partnership, channel, key resource, cost structure. Hasil strategi pengembangan usaha bisnis di PT Sentra Mulia Sejahtera terletak di kuadran 1 yang artinya perusahaan memiliki peluang dan kekuatan sehingga dapat memanfaatkan peluang yang ada pada perusahaan
THE EFFECT OF SMART BOXES ON ELEMENTARY SCHOOL STUDENTS’ KNOWLEDGE OF EARTHQUAKE DISASTER PREPAREDNESS
No full textSchool-age children are vulnerable to the impact of disasters due to their lack of understanding and knowledge about earthquake preparedness. To increase children’s disaster preparedness knowledge, an attractive learning media smart boxes can be employed. This study aims to analyze the effect of smart box education on students’ knowledge of earthquake disaster preparedness. The research design was a quasi-experiment with two groups and a pre-post-test control group. The population consisted of 180 elementary school students, selected by cluster random sampling, with 130 students involved in the study (65 in the intervention group and 65 in the control group). Data were collected using an earthquake preparedness knowledge questionnaire. The intervention group received smart box education, while the control group received lecture-based education. The pre- and post-tests were conducted on the same day. The study took place on February 27, 2025, at Madrasah Ibtidaiyah Muhammadiyah Sedayulawas in the Brondong District of the Lamongan Regency. The data were then analyzed using Wilcoxon and Mann-Whitney tests (α ≤ 0.05). The results showed that 60% of students had poor knowledge before receiving smart box education while after receiving smart box education, 58.5% of students had good knowledge. Providing smart box education and lecture media increased students’ knowledge about earthquake disaster preparedness (p=0.000), with an average score of 25.77 in the intervention group and 4.77 in the control group. Smart box education proved to be more effective than lectures in increasing students’ knowledge of earthquake preparedness because smart boxes encourage critical thinking and hands-on learning, whereas lectures only require students to listen
PENGARUH LATIHAN FREQUENCY, INTENSITY, TIME, AND TYPE TERHADAP MOTORIK SISWA DISABILITAS
No full textPenelitian ini dilakukan karena pentingnya pengembangan keterampilan motorik untuk siswa yang memiliki disabilitas, yang mengalami kesulitan dalam melakukan aktivitas fisik sehari-hari. Tujuan dari penelitian ini adalah untuk mengetahui dampak dari program latihan Frequency, Intensity, Time, and Type (FITT) dengan intensitas sedang terhadap peningkatan kemampuan motorik kasar dan halus pada siswa di SLB C Pelita Ilmu Semarang. Metode yang digunakan adalah eksperimen dengan desain satu kelompok pretes dan postest. Sampel penelitian ditentukan menggunakan purposive sampling, yaitu teknik penentuan sampel berdasarkan kriteria tertentu yang telah ditetapkan oleh peneliti. Dari total populasi sebanyak 20 siswa, dipilih 15 siswa yang terdiri dari 10 siswa laki-laki dan 5 siswa perempuan dengan berbagai jenis disabilitas intelektual. Pemilihan sampel dilakukan dengan mempertimbangkan kesesuaian karakteristik subjek dengan tujuan penelitian serta keterjangkauan dalam pelaksanaan program latihan, sehingga sampel yang dipilih diharapkan dapat merepresentasikan populasi yang diteliti secara relevan.Data dikumpulkan melalui tes keterampilan motorik kasar dan halus yang telah dicek oleh para ahli. Untuk menganalisis data digunakan uji paired sample t-test dengan bantuan perangkat lunak SPSS. Hasil penelitian menunjukkan ada peningkatan signifikan pada kemampuan motorik kasar (p0,05) setelah mengikuti program latihan. Selain itu, kemampuan motorik halus juga meningkat secara signifikan baik pada tangan kanan (p0,05) maupun tangan kiri (p0,05). Ini menunjukkan bahwa latihan FITT dengan intensitas sedang memberikan dampak positif terhadap peningkatan kemampuan motorik siswa yang memiliki disabilitas. Penelitian ini memberikan manfaat bagi para guru olahraga, pelatih, dan terapis dalam merancang program latihan yang sesuai dengan karakteristik dan kebutuhan siswa di sekolah luar biasa
Analisis Kadar Antioksidan Pada Hasil Infusa Jahe Merah (Zingiber Officinale Var. Rubrum), Kombinasi Kunyit (Curcuma Longa) dan Sereh (Cymbopogon citratus)
No full textJahe merah, kunyit, dan sereh merupakan tanaman rempah yang dikenal memiliki kandungan metabolit sekunder seperti flavonoid, fenolik, dan terpenoid yang berperan penting dalam aktivitas antioksidan. Dalam penelitian ini, dilakukan pengujian aktivitas antioksidan pada kombinasi infusa jahe merah–kunyit dan jahe merah–sereh untuk mengetahui potensi keduanya sebagai sumber antioksidan alami. Proses ekstraksi dilakukan dengan metode infusa pada suhu 90°C selama 15 menit, kemudian dilakukan analisis kualitatif melalui uji skrining fitokimia dan kromatografi lapis tipis (KLT), serta analisis kuantitatif menggunakan metode ABTS pada panjang gelombang 734 nm dengan spektrofotometri UV-Vis dan vitamin C sebagai pembanding. Hasil analisis menunjukkan bahwa kedua kombinasi infusa positif mengandung flavonoid, fenolik, dan terpenoid yang berperan sebagai senyawa antioksidan. Nilai IC₅₀ infusa jahe merah–kunyit sebesar 35,83 µg/mL dan jahe merah–sereh sebesar 51,68 µg/mL. kombinasi jahe merah-kunyit termasuk kategori aktivitas antioksidan sangat kuat (IC₅₀ 50 µg/mL) dan jahe merah-sereh termasuk kategori kuat (IC₅₀ 100 µg/mL). Temuan ini menunjukkan bahwa kombinasi infusa jahe merah–kunyit dan jahe merah–sereh memiliki potensi besar sebagai sumber antioksidan alami yang dapat dikembangkan dalam sediaan herbal farmasi.Kata kunci: Antioksidan, Infusa, Jahe merah (Zingiber Officinale Var. Rubrum), Kunyit (Curcuma Longa), Sereh (Cymbopogon citratus), ABTS, IC₅
Epistemic Agency as a Mediator in Dual-Path Learning: Insights from Indonesian Chemistry Classrooms
No full textThis study investigates the mediating role of epistemic agency in the relationship between students’ perceptions of constructivist learning environments and their conceptual understanding in Indonesian chemistry classrooms. A sequential explanatory mixed-methods design was employed, integrating quantitative and qualitative approaches. In the quantitative phase, data were collected from 712 high school students across five schools using an adapted Constructivist Learning Environment Survey (CLES) and a three-tier diagnostic chemistry test. Rasch modeling confirmed the strong psychometric properties of the adapted CLES, while structural equation modeling (SEM) revealed that epistemic agency significantly mediated the relationship between classroom environment perceptions and conceptual understanding. In the qualitative phase, thematic analysis of interviews with 12 selected students uncovered three dominant themes contributing to misconceptions: limited dialogic space, lack of contextualization, and teacher-dominated instruction. The integration of both data strands demonstrates that epistemic agency is not only influenced by pedagogical practices but also shaped by cultural norms. These findings extend the dual-path learning framework by embedding agency as a key mechanism for conceptual change. Pedagogically, the results underscore the need for dialogic, student-centered learning environments that promote active participation and reduce misconceptions. Policy-wise, the findings align with the OECD Learning Compass 2030 and Indonesia’s Merdeka Belajar curriculum, emphasizing the importance of agency-oriented strategies in achieving global education standards
Development of a Differentiated Learning-Based Chemical Bonding Teaching Module to Enhance Scientific Argumentation Skills
No full textThis study aimed to develop a differentiated teaching module to enhance students' scientific argumentation skills on chemical bonding material. The method used was Research and Development (R&D) with the 4D model (Define, Design, Develop, Disseminate). Validation results from experts showed that the developed differentiated teaching module was highly valid (92% and 94%), very practical (100% and 97%), and effective, with more than 80% of students achieving the minimum competency standard (KKM) and an average score of 88. The improvement in scientific argumentation skills was reflected in the average pre-test score of 64, which increased to 80 in the post-test. Specifically, the indicators of scientific argumentation showed improvement: claims increased from 62.9% to 75.4%, data from 66.3% to 84%, warrants from 67.8% to 82.1%, and backings from 68.4% to 79.4%. The increase in scientific argumentation scores from pre-test to post-test indicates that the developed teaching module was effective in helping students hone their argumentative skills. However, the ability to formulate claims and backings still requires reinforcement, as they demand a more complex understanding. Nevertheless, this improvement suggests that the differentiated teaching module created and implemented can strengthen students' scientific argumentation skills in understanding chemical bonding material, making it recommended for broader application, especially in science education
Analysis of Community Knowledge, Attitudes, and Behaviors on Urban Heat Island Impacts in Rappocini District, Makassar City
No full textThe phenomenon of Urban Heat Island (UHI) refers to the rise in temperature in urban areas compared to their surrounding rural regions, primarily due to land-use changes, reduced vegetation, and high-density infrastructure. This condition poses health and environmental risks and presents significant challenges for sustainable urban planning. This study aims to: (1) assess the community’s level of knowledge regarding climate change and the impacts of UHI; (2) analyze public attitudes and adaptive behaviors in responding to UHI; and (3) determine the influence of knowledge and attitudes on behavior related to mitigating UHI impacts. A quantitative approach was applied using a household survey and structured questionnaires. Data were analyzed using multiple linear regression, including t-tests, F-tests, and the coefficient of determination (R²), with the aid of SPSS software. The findings show that the community's knowledge and attitudes are generally categorized as good. The F-test yielded a significance value of 0.054, indicating that the model was nearly significant at the 0.05 level. Partially, attitudes had a significant influence on adaptive behavior (p = 0.030), whereas knowledge did not show a significant effect (p = 0.890). The coefficient of determination (R²) was 0.083, meaning that knowledge and attitudes collectively explain 8.3% of the variation in community behavior toward UHI mitigation. These findings highlight the need to strengthen public education and promote behavioral adaptation strategies to reduce the environmental impact of urban heat
Mapping Mangrove Canopy Density Changes in Pekalongan Using Sentinel-2 Red-Edge
No full textThis study analysed spatiotemporal changes in mangrove canopy density within the coastal areas of Pekalongan Regency and Pekalongan City using multitemporal Sentinel-2 imagery (2019, 2021, and 2024). This study was motivated by the continuous degradation of mangrove ecosystems due to severe tidal flooding, land subsidence, and coastal hydrodynamic disturbances, which necessitate reliable monitoring tools to support mitigation and restoration programs. The objective of this study was to compare the performance of NDVI, NDVI-Red Edge, and mRE-SR vegetation indices in estimating mangrove canopy density and to determine the most accurate index for tidal-affected environments. The methodological framework involved image preprocessing, land cover classification, vegetation index computation, and linear regression modelling validated by in situ canopy measurements obtained through hemispherical photography. The results showed that the mangrove area declined significantly between 2019 and 2021, followed by partial recovery in 2024 in response to rehabilitation efforts. Among the tested indices, NDVI-Red Edge Band 5 yielded the highest accuracy with the lowest RMSE (7.65%), outperforming NDVI and mRE-SR, whereas Bands 6 and 7 showed weak predictive capability. The study concluded that NDVI-RE Band 5 is the most reliable index for mapping mangrove canopy density in dynamic coastal environments affected by tidal inundation. These findings demonstrate the effectiveness of combining Sentinel-2 red-edge information with field-based validation to support mangrove monitoring and coastal management
Integration of Temperature and Weather Sensors with LORA Technology for Real-Time Monitoring Systems in Basin Cooling Tower
No full text— The cooling system of geothermal power plants (PLTP) critically depends on cooling towers, particularly the basin as the reservoir for cooled water to be recirculated into the system. Real-time monitoring of basin water temperature and weather conditions is essential for maintaining operational efficiency and prolonging equipment lifespan. Manual observation and wired systems are limited in terms of range and response time, prompting the need for a more advanced monitoring solution. This article describes the development and implementation of a LoRa-based monitoring system that integrates temperature and weather sensors in the cooling tower basin of a geothermal power plant. The research was conducted through literature reviews, direct observation, consultations with experts, and comprehensive field testing of both hardware and software under various operational scenarios. The designed system consistently transmits temperature and weather sensor data with a success rate exceeding 95%, and achieves an effective transmission range of 400–500 meters in open geothermal areas. Implementation of this system results in increased data acquisition speed, improved energy efficiency, and enhanced monitoring accuracy, supporting faster technical responses and better risk management. Evaluation results confirm that the LoRa-based solution functions optimally and is highly applicable for deployment in challenging and remote geothermal industrial environments