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ANALISIS KADAR LEMAK TOTAL PADA BUAH SALAK MERAH (Salacca edulis) DI NEGERI RIRING DAN NEGERI BURIA KECAMATAN TANIWEL KABUPATEN SERAM BAGIAN BARAT
Get PDFBackground: In Maluku Province, especially in West Seram Regency (SBB) Taniwel District, salak plants were found with unique thick yellow flesh with a red tinge, called red salak. Negeri Riring and Negeri Buria are samples of red salak cultivation centers that are at different altitudes, allowing for differences in primary metabolite content, especially total fat content in red salak plants.
Methods: Analysis of total fat content was carried out in several stages, namely, the red salak fruit preparation stage where the skin and flesh of the salak fruit were peeled and separated. After that, the sample was dried in an oven for 6x24 hours and ground into powder. The total fat content test stage used the Soxhlet method, where this stage produced a solution used to calculate the total fat content.
Results: The results of the study showed that red salak fruit contained Negative Total Fat in both locations at different altitudes. The highest fat content in red salak fruit was obtained at 0.54995% in Negeri Buria. Meanwhile, the lowest fat content in red snake fruit was obtained at 0.52935% in Negeri Riring.
Conclusion: different growing altitudes affect the total fat content in red snake fruit, where the higher the growing location, the lower the fat content, which is also supported by several internal and external factors
PENGARUH MODEL PEMBELAJARAN PROBLEM BASED LEARNING BERBANTU MEDIA AUGMENTED REALITY UNTUK MENINGKATKAN HIGHER ORDER THINKING SKILL KELAS XI PADA METERI SEL DI SMAN 1 ABUNG SELATAN LAMPUNG UTARA
Get PDFBackground: Bananas are widely consumed by the people due to their soft texture, easy digested, and can be consumed directly or processed again. This fruit has characteristics that are suitable for Indonesia’s growth climate. Asia ranks first as the largest banana producer, with Indonesia being the third-largest producer. Bananas are generally classified as a source of Vitamin C, also known as Ascorbic Acid. When consuming, many people store it in the refrigerator to keep it fresh. The increase in ascorbic acid content occurrs along with longer storage time. This research aims to study the changes in ascorbic acid levels in bananas due to the effects of storage time at room temperature and refrigerator temperature.
Methods: This research use a laboratory experimental by testing the levels of Ascorbic Acid contained in bananas using the spectrophotometry method in April 2024
Results: This research shows that the ascorbic acid content in bananas stored for varying durations at room temperature is lower than refrigerator temperature, and there is an interaction between storage time and storage temperature.
Conclusion: The decrease in ascorbic acid levels occurred due to the interaction between storage time and room temperature and refrigerator temperatur
Inventarisasi Jenis dan Keberadaan Serpentes di Taman Hutan Raya Ir. H. Djuanda Jawa Barat
Get PDFSnakes have an important role in the ecosystem as predators controlling prey populations and as prey for predators. They are found in habitats such as tropical rainforests, savannas, and mountainous areas. The research object is to inventory and identify the potential of snake species in Taman Hutan Raya Ir. H. Djuanda. The method of research by VES (a Visual Encounter Survey) was then analyzed by description. There were found Four snake species in the Tahura Ir. H. Djuanda, namely, red triangle snake (Xenochrophis trianguligerus) with a frequency of 3 encounters on the ground near the water source, shoot snake (Ahaetulla prasina) with a frequency of 1 encounter in the bushes, koros snake (Ptyas korros) with a frequency of 1 encounter in the bushes near the water source, and coffee snake (Coelognathus flavolineatus) with a frequency of 1 encounter in jogging track area. The distribution of snake species in the Ir. H. Djuanda Grand Forest Park area is spread across two management blocks: protection and utilization blocks
EFFICIENCY OF SCAFFOLDING METHOD IN THE LEARNING PROCESS OF MATHEMATICS COMPARATIVE MATERIAL IN GRADE V ELEMENTARY SCHOOL STUDENTS
Get PDFThe conceptual understanding of comparative mathematics remains a significant challenge in elementary education, as students rely heavily on formulaic approaches rather than developing deeper comprehension. This condition highlights the importance of the role of teachers in assisting with learning methods such as scaffolding. This study aims to analyze the efficiency of the scaffolding method in improving students' cognitive aspects. Scaffolding can help students improve mathematics learning outcomes and mathematical problem-solving skills and improve the cognitive aspect applied to grade V students in one of the state elementary schools in the Pondok Kacang area. This study uses a descriptive qualitative approach with data collection through observation, interviews, and documentation with data sources of a teacher and 3 grade V students in one of the State Elementary Schools in the Pondok Kacang area. The results of the study on the application of the scaffolding method to improving cognitive aspects in students in the context of learning mathematics ratio materials show that the application of the scaffolding method is efficient and effective; this can be seen from the improvement of students' cognitive aspects through assisting children in the early stages of their development, applying a multi-level approach, and efforts to follow the characteristics of scaffolding when there is an argument between students and teachers. The scaffolding method improves students' cognitive aspects by using motivational strategies and associating students' interests with learning assignments. Therefore, the scaffolding method plays a role in developing students' cognitive skills, especially in mathematic
Analysis of Landslide Hazard Vulnerability Level in Hukuanakota Village, Inamoso District, West Seram Regency
No full textThis study aims to assess the landslide susceptibility of Hukuanakota Village, located in Inamosol District, Seram Bagian Barat Regency, by analyzing various environmental and physical parameters. The parameters examined include slope gradient, rainfall, soil texture, soil permeability, effective soil depth, groundwater depth, vegetation density, previous landslide events, and land use. Utilizing Geographic Information System (GIS) technology, this research successfully developed a landslide susceptibility zoning map, categorized into four levels: low, moderate, high, and very high. The findings reveal that areas with low susceptibility are generally located in flat regions with stable land use, such as settlements and paddy fields, while areas with very high susceptibility are concentrated in steep slopes with high rainfall, poor vegetation cover, and previous landslide occurrences. The study also emphasizes the importance of mitigating strategies such as vegetation planting, the creation of drainage systems, and routine monitoring of soil and slope conditions. The landslide susceptibility map serves as a valuable tool for local governments and communities, providing essential information for land use planning, disaster risk reduction, and improving preparedness against future landslide disasters. With the map’s aid, more effective and targeted mitigation measures can be implemented to reduce the impact of landslides and enhance the community's resilience to natural disasters
Dampak Dinamika Pertumbuhan Penduduk Terhadap Kebersihan Lingkungan Pesisir Desa Poka Rumah Tiga Kecamatan Teluk Ambon
Get PDFThis study aims to analyze the impact of population growth on coastal environmental cleanliness in Poka Rumah Tiga Village, Teluk Ambon District. Rapid population growth often results in increased waste production and pressure on coastal ecosystems. The research method used is a descriptive quantitative approach with surveys conducted through questionnaires distributed to 200 respondents. The study findings indicate that rapid population growth has led to a significant increase in unmanaged household waste. The primary contributing factors include a lack of community awareness regarding waste management and insufficient waste management infrastructure. Further analysis shows that communities with higher education levels tend to have better environmental awareness. In conclusion, a collaborative effort among the government, community, and private sector is needed to develop more effective waste management strategies to maintain coastal environmental cleanliness
Evaluation of the Climate Village Program (Proklim) in Pete Village Tigaraksa District Tangerang Regency
Get PDFThe implementation of the Climate Village Program (Proklim) is a manifestation of the government effort to overcome climate change as stated in PermenLHK No.84 of 2016 concering the Climate Village Program. On of the villages that participated in the implementation of Proklim id Pete Village RW.05 in Tigaraksa District, Tangerang Regency. The purpose of this study is to evaluate the Climate Village Program in Pete Village, Tigaraksa District, Tangerang Regency, Banten Province. The theory used is Leo Agustino’s evaluation theory. This study uses a descriptive qualitative method. The result of the study show that the implementationof Proklim in Pete Village is stillnot optimal. the competence of the supervisors and coordinator of Proklim activities is good. However, the understanding of the community implementing the activity regarding the meaning of the regulation, both definition and objectives og Proklim, is still lacking because they only understand it as a reforestation activity. Supporting facilities in KWT activities are still minimal, in addition, there is no scheduled monitoring and evaluatuin carried put by the Tangerang Regency DLHK of the Proklim location
IMPROVING SUPPORT VECTOR MACHINE PERFORMANCE WITH BINARY GAUSSIAN IMPROVED WHALE OPTIMIZATION ALGORITHM: A CASE STUDY ON DIABETES DATA
No full textDiabetes mellitus is a chronic condition with high blood sugar that can cause severe organ damage, affecting all ages globally. Early diagnosis is crucial for improving patients' quality of life, and machine learning offers a promising approach. The Support Vector Machine (SVM) is effective for classification, but feature selection is essential to enhance the relevance of features. The Whale Optimization Algorithm (WOA) is an optimal method for global feature selection, but it has a drawback-premature convergence, which can lead to suboptimal results. This issue should be addressed by modifying mutation operations, convergence factors, and population initialization, resulting in Binary Gaussian IWOA (BGIWOA). This research focuses on feature selection using BGIWOA, comparing it with Variance Inflation Factor (VIF) using SVM. The result show that BGIWOA is better than VIF and the best configuration BGIWOA’s parameter is with linear kernel. This configuration produces the best accuracy of 95.00%. BGIWOA-SVM demonstrates better accuracy with stable consistency compared to VIF-SVM. The best SVM model achieves average accuracy of 95.62% for training data and 95.58% for validation data, with an accuracy of 93.85% for the test data. This model also yields an average precision of 94.00%, a recall of 91.00%, and an -score of 92.00%. The model was also better than SVM without optimization, which only achieved a training accuracy of 84.25% and a testing accuracy of 81.30%. This model can assist in diagnosing diabetes with accurate and consistent predictions for new data. The results are specific to the diabetes dataset used in this research, so further testing on other binary datasets is necessary to confirm the model's effectiveness and generalizability across different domains and types of data
NUMERICAL ANALYSIS OF BLOOD VESSEL CONSTRICTION DUE TO ATHEROSCLEROSIS DISEASE USING FINITE VOLUME METHOD
No full textAtherosclerosis is a leading cause of coronary heart disease. This study analyses how elliptically shaped stenoses alter blood-flow velocity in coronary arteries. The governing equations are discretised with the finite-volume method, coupling pressure and velocity through the SIMPLE (Semi-Implicit Method for Pressure-Linked Equations) algorithm and accelerating convergence with the Successive Over-Relaxation (SOR) technique. A weighted Gauss–Seidel iteration whose over-relaxation factor ( in this work) damps low-frequency error modes, cutting the number of iterations needed for residuals to fall below 10⁻⁴ by roughly 40 % compared with the standard Gauss–Seidel scheme. Simulations of 30 %, 50 %, and 70 % constrictions were carried out in MATLAB R2013a and ANSYS Fluent. Quantitative and qualitative cross-validation of the two software packages confirmed consistent velocity and pressure fields, though minor discrepancies arose from differing numerical schemes and model assumptions, underscoring the need for experimental verification. The highest centre-line velocity occurred at 70 % stenosis—0.72075 m/s in MATLAB versus 0.90 m/s in Fluent—while the lowest was recorded at 30 %. Velocity–pressure profiles showed that increasing inlet velocity or degree of narrowing elevates velocity but decreases pressure, with the largest drop (11492.4 Pa in MATLAB; 11747.32 Pa in Fluent) again at 70% stenosis. Study limitations include modelling blood as a Newtonian fluid and idealising arterial geometry; future work should incorporate non-Newtonian rheology and patient-specific shapes to enhance physiological accuracy
NUMERICAL AND CONVERGENCE ANALYSIS OF AN ENHANCED DAI-LIAO METHOD FOR UNCONSTRAINED OPTIMIZATION
No full textIterative algorithms play an important role in mathematical optimization, particularly in solving large-scale unconstrained optimization problems. The conjugate gradient (CG) methods are widely used due to their low memory requirements and efficiency. However, their performance highly depends on the choice of parameters that influence search directions and convergence speed. Despite their advantages, traditional CG algorithms sometimes suffer from slow convergence or poor accuracy, especially for ill-conditioned problems. The selection of conjugate gradient parameters significantly influences the performance, and there is a need to develop improved strategies to enhance solution accuracy and efficiency. This study constructs a new conjugate gradient parameter using the curvature condition to refine search directions and accelerate convergence. The proposed approach ensures a more effective balance between descent properties and numerical stability. Preliminary numerical experiments demonstrate that the proposed method outperforms classical CG variants regarding convergence rate and accuracy. The improved search directions lead to faster and more reliable optimization solutions. The newly developed conjugate gradient formula contributes to a more robust and efficient optimization. This advancement enhances the applicability of CG methods in solving complex optimization problems, paving the way for more effective computational efficiency.