Ejurnal Universitas San Pedro
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Pemodelan Kasus Pneumonia Berat pada Balita di Kota Surabaya Menggunakan Zero-Inflated Negative Binomial
Full text linkPneumonia berat pada balita merupakan salah satu permasalahan kesehatan masyarakat yang signifikan, khususnya di perkotaan seperti Surabaya, karena dapat meningkatkan risiko morbiditas dan mortalitas balita. Data jumlah kasus pneumonia berat pada balita di Kota Surabaya berbentuk data cacah yang menunjukkan adanya overdispersi serta proporsi nilai nol berlebih. Penelitian ini bertujuan untuk memodelkan jumlah kasus pneumonia berat pada balita di Kota Surabaya menggunakan model Zero-Inflated Negative Binomial (ZINB) serta mengidentifikasi faktor-faktor yang memengaruhinya. Analisis awal menggunakan regresi Poisson menunjukkan ketidaksesuaian asumsi akibat overdispersi dan nilai nol berlebih, sehingga pemodelan dilanjutkan menggunakan beberapa pendekatan termasuk regresi ZINB. Pemilihan model dilakukan berdasarkan nilai Akaike Information Criterion (AIC). Hasil analisis menunjukkan bahwa model ZINB memiliki nilai AIC paling rendah dan mampu mengakomodasi karakteristik data dengan baik. Pada model ZINB, variabel jumlah rumah tangga dengan akses air bersih terbukti berpengaruh signifikan pada komponen count maupun pada komponen logit. Selain itu, variabel dummy tahun 2023 juga berpengaruh signifikan pada komponen count, yang menunjukkan jumlah kasus pneumonia berat yang lebih rendah dibandingkan dengan tahun 2022. Hasil ini menunjukkan bahwa akses air bersih merupakan faktor lingkungan yang berperan penting dalam menurunkan jumlah kasus pneumonia berat pada balita di Kota Surabaya
Implementasi Pembelajaran PBL Berbasis Kearifan Lokal pada Alat Musik Tradisional NTT Materi Gelombang untuk Meningkatkan Hasil Belajar Siswa SMP
Full text linkThe Problem-Based Learning (PBL) model is a teaching paradigm that facilitates the development of critical thinking skills. Local wisdom refers to a way of life and knowledge manifested in activities commonly practiced by the wider community in a particular region. One example of local wisdom can be traditional musical instruments, which can be incorporated into the learning model. Combining the PBL learning model with local wisdom can help students who struggle to understand conceptual materials, particularly in science education. Integrating local wisdom into science learning can enhance students\u27 understanding. This study aims to improve students\u27 learning outcomes using PBL-based learning grounded in local wisdom on physics topics such as vibrations, waves, and sound for eighth-grade students at SMP Reformasi Plus. The research method used in this study is The experimental method with research subjects consisted of 38 eighth-grade students divided into two classes: VIII-A as the experimental class and VIII-B as the control class. The learning outcomes from the implementation of PBL learning based on local wisdom showed that the N-Gain pretest score for the experimental class was 0.53 and for the control class was 0.49, which falls into the moderate category. Meanwhile, the posttest score for the experimental class was 0.82 and for the control class was 0.67, which falls into the high category. These results indicate that there is an effect of applying the PBL learning model based on local wisdom on improving students\u27 learning outcomes
Analisis Potensi Jalur Manifestasi Panas Bumi Maronge Kabupaten Sumbawa Menggunakan Data Gayaberat GGMPlus
Full text linkThe increasing national energy demand necessitates the utilization of renewable resources, particularly geothermal energy, which holds significant potential in Indonesia. This research aims to identify potential geothermal manifestation pathways in the Maronge area, Sumbawa (NTB), characterized by surface features (hot springs, fumaroles) with temperatures ranging from 35-43°C. The methodology employed is the gravity method based on GGMPlus satellite data to map subsurface rock density variations. The gravity data processing includes calculating the Complete Bouguer Anomaly (CBA), separating the CBA into regional and residual anomalies using the upward continuation filter, and conducting further analysis using the First Horizontal Derivative (FHD) and Second Vertical Derivative (SVD) technique. The results indicate a negative anomaly in the central area of the study, which is strongly suspected to signify a fault zone or low-density hydrothermal alteration zone. This contact zone serves as a conduit for hot fluids, explaining the emergence of the surface manifestations as an upflow zone. The results of this study can provide additional information for the government in formulating policies for managing the Maronge hot spring potential
Rancang Bangun Prototipe Sistem Pencitraan Bawah Tanah dengan Metode Electrical Resistence Tomography
Full text linkElectrical Resistivity Tomography (ERT) is a geophysical method used to image subsurface structures based on the distribution of material resistivity by injecting electrical current and measuring the resulting potential at the surface. Although widely applied in subsurface exploration, the use of ERT in academic environments is still limited due to the high cost of commercial equipment. Therefore, this study aims to design and develop a laboratory-scale prototype of a subsurface imaging system based on the ERT method as an educational and practical learning tool. The research employed a Research and Development (R&D) method combined with an experimental approach, including the stages of design, fabrication, testing, and calibration of the prototype. Experimental measurements were conducted on homogeneous soil media and soil media with artificial anomalies using Wenner and Wenner–Schlumberger configurations. The acquired data were processed using RES2DINV software to produce two-dimensional subsurface images. The results indicate that the developed prototype is capable of detecting resistivity anomalies effectively, although relatively high inversion errors were observed due to laboratory-scale limitations. Overall, the proposed ERT prototype is suitable as a supporting tool for geoelectrical learning and subsurface exploration practicum
Simulasi Gelombang Air Laut Selat Madura Menggunakan Smoothed Particle Hydrodynamics
Full text linkPenelitian ini bertujuan untuk mengimplementasikan metode Smoothed Particle Hydrodynamics (SPH) dalam simulasi dinamika gelombang air laut di Selat Madura. Simulasi dilakukan menggunakan perangkat lunak DualSPHysics dengan mekanisme piston-type wave-maker yang mengintegrasikan data harian tinggi dan arah gelombang dari BMKG sebagai parameter input. Karakteristik dinamika gelombang yang dihasilkan menunjukkan bahwa elevasi output simulasi memiliki pola fluktuasi yang konsisten dengan data observasi lapangan. Hasil validasi model SPH ditunjukkan dengan nilai Root Mean Square Error (RMSE) sebesar 0.0193 dan 0.0063, serta koefisien determinasi () mencapai 0.97973 dan 0.9938. Hal ini membuktikan adanya hubungan linier yang sangat kuat antara tinggi gelombang input dan output simulasi, di mana model mampu menjelaskan 99% variansi data aktual. Penelitian ini merupakan eksplorasi awal penggunaan metode berbasis partikel SPH untuk memodelkan karakteristik hidrodinamika di perairan Selat Madura
Application of XGBoost and Catboost Algorithms for Elderly Hypertension Classification on IFLS 5 Data
Full text linkHypertension in the elderly poses complex classification challenges, characterized by noisy categorical features in health survey datasets. This study focuses on using XGBoost and CatBoost algorithms to overcome barriers when classifying hypertension in the elderly ( years) using IFLS 5 data. Unlike standard methods that focus on accuracy, this evaluation emphasizes the recall metric to reduce false negative errors, which is crucial for ensuring safety in medical screening. After carefully tuning the hyperparameters using GridSearchCV and 5-fold cross-validation on 2,774 participants, the models revealed clear algorithmic trade-offs. CatBoost demonstrated superior generalization stability and achieved the highest accuracy (66.49%), while XGBoost exhibited significant superiority in sensitivity (recall of 80.18%) by effectively applying regularization to detect minority class signals. Evaluating feature significance using the information gain and prediction values change metrics verified that biological indicators, particularly diabetes and BMI, were the main predictors compared to demographic variables. In summary, CatBoost is reliable, but XGBoost is better suited for building clinical decision support systems where the priority is detecting sensitivity
Pemetaan Sebaran dan Arah Aliran Lindi Menggunakan Metode Self Potential (SP) di Kali Kampung Bima Kefamenanu
Full text linkLeachate pollution is a common environmental issue in areas with open waste disposal activities, particularly along riverbanks. Kali Kampung Bima in Kefamenanu City is characterized by domestic waste accumulation that has the potential to generate leachate and contaminate the surrounding environment. This study aims to identify variations in natural subsurface potential values and to determine the migration pattern and flow direction of leachate in the waste accumulation zone of Kali Kampung Bima using the Self Potential (SP) method, a passive geophysical technique that measures natural electrical potential differences in the subsurface. Data acquisition was conducted using the fixed-base technique along two parallel survey lines, accompanied by daily and loop corrections to ensure data stability. The results show potential values ranging from positive to negative. Significant negative anomalies on line P (–15.97 to –17.36 mV) indicate electrokinetic processes associated with leachate migration toward the river channel, whereas line Q exhibits smaller and relatively homogeneous potential values, suggesting lower contamination intensity. The isopotential contour map reveals a leachate migration pattern from the waste accumulation area toward surface water flow. These findings demonstrate that the Self Potential method is effective for identifying negative anomalies related to leachate distribution and flow direction, and it provides a scientific basis for environmental pollution mitigation and sustainable waste management
Aplikasi Radiasi Ionisasi dalam Pemuliaan Tanaman: Analisis Dosis dan Respons Biologis
Full text linkThe use of radiation on plants has varying effects depending on the type of radiation and dose given. This research aims to provide insight into the potential and effects of using radiation in plant breeding and its impact on the physiological and morphological characteristics of plants. This study examines various previous research on the application of radiation rays to horticultural plants, food plants and ornamental plants. The radiation used includes gamma rays, X-rays, sunlight and corona glow discharge plasma. The research results show that radiation can increase genetic diversity and influence plant growth characteristics such as plant height, number of leaves, and chlorophyll content. The right dose of radiation can produce superior varieties with desired characteristics. However, doses that are too high can reduce the survival rate and regeneration capacity of plants
Analisis Kualitas Air Pada Mata Air di Kecamatan Kota Soe Kabupaten Timur Tengah Selatan
Full text linkThe increasing urbanization, natural activities, anthropogenic activities, and tourism in springs in Kota Soe District can potentially lead to the entry of contaminants that can decrease water quality. Therefore, monitoring water quality in springs is currently crucial to ensure the sustainability of water resources. This study aims to determine the concentration of physical and chemical parameters and water quality in the Oebesa, Oebesi, and Oenasi springs in Kota Soe District. Water quality was determined by measured physical and chemical parameters, compared the measurement results with water quality standards, and analysis using the water pollution index method. The research indicate that the temperature, pH, TDS, TSS, and BOD at the three springs meet the Class I water quality standards stipulated by Government Regulation Number 22 of 2021 concerning the Implementation of Environmental Protection and Management for the Water Category. However, the Dissolved Oxygen (DO) values ??of the three springs are relatively low (<6 mg/L) and do not meet these established standards. The pollution index values ??for the Oebesa, Oebesi, and Oenasi springs were 0.456, 0.530, and 0.537, which indicated that the three springs are categorized as being in good condition. This study show that the springs in Kota Soe District remain suitable for use as water sources, however management efforts are required to improved Dissolved Oxygen concentrations
Comparison of Geographically Weighted Regression with Adaptive Gaussian and Bisquare Kernel on Open Unemployment Rate in Riau Islands
Full text linkRegression analysis is an analysis to determine the relationship and influence of independent variables on the dependent variable. If the data has a spatial relationship, this analysis has the potential to produce a less accurate model because the regression analysis ignores the influence of the location. One of the data indicated to have a spatial relationship is the open unemployment rate. One spatial analysis that can be used to accommodate spatial relationships is the Geographically Weighted Regression (GWR) model. In the GWR model, a spatial weighting matrix is required whose size depends on the proximity between locations. In this study, two spatial weighting matrix were used: Adaptive Gaussian Kernel and Adaptive Bisquare Kernel. Based on the results of the analysis, it is known that the factors influencing the open unemployment rate in the Riau Islands in 2024 at several locations are the human development index, Economic Growth, and Minimum Wages by Regency/City. Based on the R2 value and AIC value, the best spatial weight matrix produced is the Adaptive Bisquare Kernel weighting function with an R2 value of 93.32% and an AIC value of 15.2835