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SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam
Published by Universitas Negeri Makassar
ISSN : 20866755     EISSN : 2579568     DOI : https://doi.org/10.35580/sainsmat112330232022
Core Subject : Science, Education,
Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Education Physics
The objective of this journal is to publish original, fully peer-reviewed articles on a variety of topics and research methods in both sciences, mathematics, its education, and applied science. The journal welcomes articles that address common issues in mathematics, sciences, education, applied science and cross-curricular dimensions more widely.
Arjuna Subject : Umum - Umum
Articles 15 Documents
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Search results for , issue "Vol 14, No 2 (2025): September" : 15 Documents clear
Risk Factors For Stunting Incidence In Urban and Rural Areas Of Indonesia Using Bayesian Spatial CAR Zulhijrah, Zulhijrah; Rifaldi, Destriana Aulia; Hapsari, Nimas Ayu; Sulaeman, Sulthan Naufal; Aidi, Muhammad Nur
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142712542025

Abstract

Stunting is a chronic growth disorder in children under five that requires evidence-based interventions. To understand the factors that contribute to stunting in different regions of Indonesia, Bayesian Conditional Autoregressive (CAR) modeling was used to estimate the relative risk of stunting. The analysis showed that the Besag-York-Mollié (BYM) model with covariates provided the best results in estimating the risk of stunting. The data for this study were obtained from the 2018 Basic Health Research Survey. In urban areas, immunization coverage has a significant effect on stunting risk, while in rural areas, in addition to immunization, vitamin supplementation coverage and poverty level are also significant factors. Based on the modeling, the region with the highest risk in urban areas is West Sulawesi Province with a relative risk of 1.638, while the lowest is Bali Province with 0.564. In rural areas, Papua Province had the highest risk of 1.820, while North Sulawesi Province had the lowest risk of 0.599. These findings suggest that immunization coverage is instrumental in reducing stunting, both in urban and rural areas. In addition, in rural areas, increasing vitamin supplementation coverage and decreasing poverty levels can help reduce the risk of stunting. Therefore, intervention policies should be tailored to the characteristics of each region to be more effective in addressing stunting in Indonesia.
Modeling of Factors Affecting the Open Unemployment Rate in East Java Haryanto, Albertus Eka Putra; Zulfadhli, Muhammad; Alimuddin, Ahmad Hilal
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142714042025

Abstract

One of the challenges faced in achieving the Sustainable Development Goals (SDGs) in point eight is the high unemployment rate in several regions. East Java Province is one of the provinces with a relatively high Open Unemployment Rate (TPT) compared to the target set by the provincial government in 2021. In that year, East Java's TPT was recorded at 6.49%, exceeding the specified target of between 3.96% and 4.01%. In addition to the impact of the COVID-19 pandemic, several other factors are thought to have a significant influence on the East Java TPT. This study aims to model these factors using linear and nonparametric regression with a truncated spline approach to identify the best model. The data used in this study are secondary data from the Badan Pusat Statistika (BPS). The results showed that the best model based on the highest R² value and the lowest RMSE was nonparametric regression with a truncated spline. The variables of district/city minimum wage,Labor Force Participation Rate, and Human Development Index (HDI) have a significant effect on TPT in East Java, where this model is able to explain 91.51% of the variability in the model.
Integrating Disaster Risk Reduction and Environmental Care in Junior Secondary Education: A Systematic Literature Review of Educational Strategies and Attitudes Fandi, Real; Nasrul, Nasrul; Adumiranti, Yuninda; Nurohman, Sabar
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142742842025

Abstract

This study aims to analyze the Integration of Disaster Risk Reduction and Environmental Concern in Junior High School Education against several existing scientific literature studies. The type of research used in this study is Systematic Literature Review with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method by looking at the inclusion and exclusion criteria. There are 132 articles that have been obtained through the keywords disaster risk reduction in secondary school and Junior High Environmental Attitudes, Screening 83 articles, Eligible 59 Articles, and there are 5 articles that will be reviewed according to the predetermined research topics. The results of this study indicate that the integration of disaster risk reduction and environmental concern at the junior high school level is carried out through various approaches, including social values, environmental ethics, and active student participation. The real-life activity-based approach and visual media have proven effective in increasing students' awareness of the impacts of environmental damage and the importance of collective action. In addition, child-based education and the application of the principles of gender equality and social inclusiveness strengthen students' understanding of their role in climate change adaptation and sustainable disaster mitigation.
The Effectiveness Of The Character Class In The Matriculation Program On The Formation Of Discipline Among Grade X Students Of The 14Th At SMA Islam Athirah Bone Mutmainnah, Mutmainnah
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142759772025

Abstract

This study aims to determine the effectiveness of the character class in the matriculation program on shaping positive discipline among Grade X students at SMA Islam Athirah Bone. Education is an essential aspect for students to develop intellectual abilities, and it also plays a significant role in character formation. SMA Islam Athirah Bone has implemented character education, particularly through the matriculation program, as an early effort to build positive discipline in new students, specifically those in Grade X. This research uses a descriptive quantitative approach, with data collected through a closed-ended questionnaire consisting of 36 statements covering five indicators of positive discipline and one indicator of the character class. The population of this study is all Grade X students at SMA Islam Athirah Bone, with a total sample of 84 respondents. The study was conducted at SMA Islam Athirah Bone. The results show that the average final score of the independent variable (character class) is 83.50%, while the dependent variable (positive discipline) scored 84.72%. Based on the score interpretation criteria, both results are categorized as very good. Therefore, it can be concluded that the character class in the matriculation program is effective in shaping positive discipline among Grade X students of the 14th cohort. This includes aspects such as punctuality, adherence to school rules, timely completion and submission of assignments, proper and respectful language use, and taking responsibility for acts of vandalismKeywords: Character Class, Matriculation Program, Formation of Discipline for Class X Students
Green Chemistry Integrated Teaching Module Design To Optimize High School Students Critical Thinking Skills (Study On The Main Topic Of Acid and based) Halisah, Nur; Jusniar, Jusniar; Auliah, Army
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142717772025

Abstract

This development research aims to produce a valid and practical integrated green chemistry teaching module using the ADDIE model, which includes analysis, design, development, implementation, and evaluation. The instrument used to measure validity is the validation sheet. The instrument for practicality is the observation sheet of lesson implementation and the teacher and student perception questionnaires. The research was conducted at SMAN 8 Makassar in August 2024. The results of the module's validity obtained a very valid average score of 3.70 with a consistency between rates of 1.00. The practicality of the module based on lesson implementation was 99.21%. The positive perceptions of teachers and students were 93.18% and 93.83%, respectively, both in the very practical category. The conclusion drawn is that the developed integrated green chemistry teaching module meets the validity and practicality criteria for use in teaching.
Kinetics Photodegradation of Methylene Blue Dye Using ZnO-Montmorillonite Composite Putri, Suriati Eka; Pratiwi, Diana Eka; Ria, Tiara Anugrah
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142761972025

Abstract

The purpose of this study was to determine the degradation kinetics of methylene blue dyes using ZnO-Montmorillonite (MMT) composites. This study is an experimental research covering several stages, namely the preparation and purification of MMT samples, the synthesis of ZnO-MMT composites by impregnation method, the characterization of ZnO-MMT composites, and the determination of optimal conditions for the degradation of methylene blue (MB) dyes using the UV-Vis instrument. The results of the  ZnO-MMT composite research were able to degrade MB dyes irradiated by UV light with an optimal time of 150 minutes with a photodegradation rate of 4.199 minutes-1.Keywords: Kinetics, Reaction Rate, Photodegradation, MB Dye, ZnO-MMT.
Forecasting The Value of Non-Oil and Gas Exports in Indonesia Using Triple Exponential Smoothing Sulastri, Sri; Ramadhani, Inas Wulan
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142764142025

Abstract

Peramalan nilai ekspor nonmigas di Indonesia sangat penting, karena prediksi ini memberikan gambaran tentang potensi penerimaan devisa, pertimbangan penting bagi pemerintah dalam merumuskan kebijakan ekonomi. Studi ini menyajikan hasil peramalan yang optimal menggunakan metode Triple Exponential Smoothing. Data tersebut terdiri dari angka ekspor nonmigas di Indonesia dari Januari 2020 hingga Desember 2024, yang diperoleh dari Badan Pusat Statistik (BPS). Tujuannya adalah untuk menentukan nilai ekspor nonmigas di Indonesia untuk tahun 2025, yang akan menjadi dasar bagi pemerintah untuk merumuskan kebijakan untuk tahun mendatang. Dari pemodelan yang dilakukan, diperoleh model terbaik dengan nilai parameter optimal = 0,3, = 0,1, = 1, dan nilai MSE sebesar 3,770563, serta nilai RMSE sebesar 864,4194. Prakiraan ekspor nonmigas Indonesia tahun 2025 menunjukkan fluktuasi tahunan, dengan bulan Maret diperkirakan memiliki nilai ekspor tertinggi dan bulan Mei diproyeksikan lebih rendah dari tahun sebelumnya.
Integration of Ensemble Stacking in Machine Learning for Thermal Stability Prediction of Metal-Organic Frameworks (MOF) Pratama, Ananta Surya; Umam, Taufiqul; Irnanda, Muhammad Diva; Nugroho, Dandy Prasetyo; Azies, Harun Al
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142759682025

Abstract

This study aims to develop a predictive model for the thermal stability of Zinc-based Metal-Organic Frameworks (Zn-MOFs), which are crucial in high-temperature applications. The approach used is stacking ensemble learning, which integrates several base models, including Ridge Regression, Lasso Regression, K-Nearest Neighbors (KNN) Regression, Support Vector Regression (SVR), Linear Regression, RANSAC (Random Sample Consensus), Huber Regression, and Gaussian Process Regression, with the meta-model TheilSenRegressor. Experimental results indicate that the stacking model delivers high-accuracy predictions, evidenced by a Root Mean Squared Error (RMSE) of 0.0025 and a coefficient of determination (R²) of 0.9993 on the training data, and an RMSE of 0.0023 and an R² of 0.9994 on the test data, demonstrating the model's excellent generalization capability. A comparison with the Robust Regression model shows that the stacking model is more stable and consistent in providing accurate predictions for both the training and test sets. These findings suggest that the machine learning-based stacking ensemble learning approach can serve as a more efficient and faster alternative to conventional experimental methods in predicting the thermal stability of Zn-MOFs.
Optimal Control of a Mathematical Model for Monkeypox Transmission in Indonesia Using the Pontryagin Maximum Principle Musfira, Musfira; Side, Syafruddin; Abdy, Muhammad; Ridho, Andi Muhammad; Supriadi, Supriadi
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142763342025

Abstract

Abstract: The re-emergence of Monkeypox poses significant public health challenges in Indonesia. This disease continues to spread due to its zoonotic nature and the high frequency of human-animal interactions. This study aims to model the transmission dynamics of Monkeypox using the SIQR (Susceptible, Infectious, Quarantined, Recovered) framework and apply optimal control strategies through the Pantryagin Maximum Principle (PMP). Data from the Indonesian Ministry of Health were utilised for model parameterisation, with numerical simulations conducted using the fourth-order Runge-Kutta method. Control strategies included quarantine, tecovirimat, and public education. The simulation results revealed that implementing optimal control reduced the infected population by up to 75% within the first 10 months compared to scenarios without control. The basic reproduction number () was successfully reduced from 2.5 to below 1, indicating that the outbreak was controlled. Additionally, the recovery rate increased by 30%, with the susceptible population achieving a disease-free equilibrium by the eighth month. These findings highlight that mathematically-driven interventions can provide effective solutions for managing infectious diseases. It is recommended that these strategies be integrated into public health policies to optimise resource allocation. Further research is necessary to evaluate the scalability of this approach for other zoonotic diseases.
Time Series Intervention Analysis With Gradual Impact Function A Case Study Of Railway Passenger Volume In Java Island Zulhijrah, Zulhijrah; Isnaini, Mardatunnisa; Angraini, Yenni; Notodiputro, Khairil Anwar; Mualifah, Laily Nissa Atul
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142774742025

Abstract

Java Island has been significantly impacted by the COVID-19 pandemic, which started in March 2020. This study aims to analyze the impact of the pandemic on the volume of railway passengers’ volume with a time series approach using an interventional ARIMA model. The data used is the number of monthly passengers from 2015 to 2024. Initial modeling on data before the pandemic produced the best model, namely ARIMA (0,2,1). To measure the impact of the pandemic, a gradual step intervention function is used which represents the gradual effect of the event. The estimation results show that the ARIMA (0,2,1) model with a gradual step intervention function is able to provide more accurate forecasting results, with a MAPE value of 18.39%. This model effectively captures changes in mobility patterns due to the pandemic, especially in the post-intervention recovery phase. The findings make an important contribution to transportation policy evaluation and future strategic planningKeywords: Time Series, ARIMA  Intervention, Gradual Function, Railway 

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