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SAINSMAT
Published by Universitas Negeri Makassar
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Articles 288 Documents
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The Effect of Matoa (Pometia pinnata) Leaves Ethanol Extract On Reducing Cholestrol Levels In Male Mice (Mus musculus) Haq, Muhammad Naufal Syaiful; Pagarra, Halifah; Muis, Abd.; Salsabila, Shopia
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141720372025

Abstract

This research aims to determine the total phenolic content and antioxidant activity of the ethanol extract of matoa (Pometia pinnata) leaves and their effect on the cholesterol levels of male mice (Mus musculus). To determine the total phenolic content using the Folin-Ciocalteu method and the DPPH method to measure antioxidant activity. The effect of matoa leaf extract on reducing cholesterol levels in mice used a completely randomized design (CRD) with 15 mice divided into 5 treatment groups with 3 replications, namely P1 (Extract 175 mg/kgBW), P2 (Extract 350 mg/kgBW), P3 (Extract 700 mg/kgBW), K+ (Simvastatin 0.10 mg/kgBW), and K- (Na-CMC 1%). Extraction uses the maceration method with 70% ethanol solvent. The total phenolic test results were 26.24872 mgGAE/g. The results of measuring antioxidant activity obtained an IC50 of 1,961 ppm. The results of testing cholesterol levels showed that there was an effect of giving ethanol extract of Matoa (Pometia pinnata) leaves on reducing cholesterol levels in male mice (Mus musculus). Giving ethanol extract of Matoa leaves at a dose of 350 mg/kgBW is effective in reducing cholesterol levels. So it can be concluded that the ethanol extract of Matoa leaves has an effect on reducing cholesterol levels in male mice.
Intervention Analysis In Time Series Data For Forecasting Bbri Stock Prices Mangkona, Andi Ilham Azhar; Aswi, Aswi; Ruliana, Ruliana
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141670452025

Abstract

Intervention model analysis is a statistical technique used to assess the impact of an intervention event, caused by internal or external factors, on a time series dataset. The primary goal of this analysis is to quantify the magnitude and duration of the effects on the time series. Intervention models are typically divided into two types: the step function and the pulse function. The step function represents an intervention event with a long-term influence, while the pulse function captures the effects of an intervention within a specific time span. This study examines the stock price data of BBRI from March 2017 to June 2020, with the intervention point identified as the onset of COVID-19 in Indonesia, specifically during the first week of March (t = 155). ARIMA modeling was applied to pre-intervention data to determine the order of intervention (b, s, r). The analysis concluded that the best-fitting model was ARIMA (2, 1, 0), with the intervention order characterized by a step function where b = 0, s = 2, and r = 0. The accuracy of the forecasting results was evaluated using the Mean Absolute Percentage Error (MAPE), which yielded a value of 8.48%.
Pengembangan Instrumen Assessment IDEAL Problem Solving Pada Materi Koloid Amaliah, Nor; Munzil, Munzil; Yahmin, Yahmin
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141695402025

Abstract

Problem solving is one of the abilities that students must have in the 21st century. This is because students' ability to solve problems is expected to increase their higher order thinking skills (HOTS) competency. The ability to measure problem solving can be assessed through test instruments in the form of questions containing problems. This research aims to analyze problem solving abilities in colloidal materials through the development of the IDEAL Problem Solving assessment instrument. This instrument includes five indicators, namely Identify the Problem, Define the Outcome, Explore Possible Strategies, Anticipate Outcome & Act, and Look back and Learn. The research was conducted for 3 months at SMAN 1 Sungai Tabuk class XI semester II (even). The method used is development research or R&D (Research and Development) research. The development of this instrument adapts the ADDIE development model by following five steps, including (1) Analyze (analysis), (2) Design (planning), (3) Develop (development), (4) Implementation (implementation), (5) Evaluate (evaluation). Data analysis was carried out quantitatively with statistical tests. The empirical validity results show that the instrument is valid and reliable to use and meets the criteria for a good level of difficulty and discrimination.
Characterization Of Endophytic Fungi From Several Karst Plants Growing In Maros Pangkep Region Inhibiting The Growth Of Pathogenic Fungi Fusarium Oxysporum Rahma, Rahma; Rachmawaty, Rachmawaty; Hartono, Hartono
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141682502025

Abstract

Fusarium oxysporum merupakan salah satu cendawan yang menyebabkan munculnya penyakit tular tanah yang membahayakan tanaman. Sehingga perlu dilakukan penghambatan pertumbuhan Fusarium oxysporum oleh cendawan endofit dari tanaman karst dengan melakukan isolasi, uji antagonisme dengan melihat presentasi daya hambat kemudian melakukan identifikasi mirkoskopik. Daya hambat tertinggi terdapat pada isolate 4E.B (kuat) 58%, 1E.A, 2A.D dan 4B.D memiliki kemampuan daya hambat yang (sedang) karena diatas dari 30%. Sedangan isolate 3A.A dan 3C.D dikategorikan rendah (lemah) terhadap Fusarium oxysporum dengan nilai daya hambat kurang dari 30%. Mekanisme daya hambat yang terjadi pada isolat 1E.A dan 2A.D adalah hiperparasitisme  sedangkan 3A.A, 3C.D, 4B.D dan 4E.B adalah kompetisi untuk mendapatkan ruang tumbuh dan nutrisi.
Kajian Kesesuaian Lahan Tanaman Porang (Amorphophallus Muelleri) Di Das Kaonisik Sub Das Hulu Jeneberang Kabupaten Gowa Zhiddiq, Sulaiman; Yusuf, Muhammad; Mannan, Abd.; Haris, Nurul Afdal; Salam, Nurul A.
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141670442025

Abstract

Penelitian ini bertujuan untuk mengetahui; 1. Kualitas dan Karakteristik lahan, 2)   Tingkat kesesuaian lahan. Menggunakan metode purposive sampling berbasis SIG, tumpangsusun peta penggunaan lahan, peta lereng, peta tanah, dan peta bentuklahan. Menggunakan data analisis lapang dan laboratorium dengan teknik analisis data yaitu matching. Hasil penelitian menunjukkan bahwa; 1. Karakteristik lahan di DAS Kaonisik yaitu berada pada iklim agak kering, temperatur atau suhu udara sedang; media perakaran untuk drainase tanah baik sampai terhambat; tekstur tanah  liat hingga berpasir; kedalaman efektif sedang-dalam; retensi hara untuk KTK tanah sedang-tinggi; pH tanah netral; hara tersedia untuk P2O5 (P tersedia) tinggi-sangat tinggi; K2O rendah-sangat rendah; N-total 0,06-0,22; Potensi mekanisme untuk lereng dari datar, landai, agak landai/miring, curam, dan sangat curam; bahaya erosi tidak ada-sedang; Batuan permukaan tidak ada-banyak. Tingkat kesesuaian lahan diperoleh empat kelas yaitu sangat sesuai (S1), cukup sesuai (S2), sesuai marginal (S3).
Structural and Electromagnetic Wave Absorption Properties of Fe3O4NPs/rGO Composite Synthesized From Natural Materials Husain, Husain; Adi, W. A.; Subaer, S.; Taryana, Y.; Putri, S.
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141720752025

Abstract

This study analyzes the structural and electromagnetic wave absorption properties of Fe3O4 nanoparticles (Fe3O4NPs) composite reinforced with reduced graphene oxide (rGO), synthesized from natural materials. The synthesis process involves the extraction of Fe3O4 from natural iron sources and the reduction of graphene oxide derived from biomass. Structural characterization was conducted using transmission electron microscopy (TEM) to confirm the formation and morphology of the Fe3O4NPs/rGO composite. Electromagnetic wave absorption properties were measured using a vector network analyzer (VNA) in the 8–12 GHz (X-band). The results show that the Fe3O4NPs/rGO composite exhibits excellent electromagnetic wave absorption with a minimum reflection loss value of -4 dB at a thickness of 2 mm. These findings highlight the potential of utilizing natural materials in developing efficient electromagnetic wave absorbers, contributing to advancements in sustainable material science.
Epidemiological Mapping Of Tuberculosis In South Sulawesi Using Local Indicators Of Spatial Association (LISA) And K-Means Clustering Mar'ah, Zakiyah; Hafid, Hardianti; Meliyana R, Sitti Masyitah
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141665022025

Abstract

Spatial statistics is a statistical approach that links data to the location of events. The most basic way to test whether data can be analyzed using spatial statistics is to find the spatial dependence. Local spatial dependence is tested using Local Indicators of Spatial Association (LISA). This research aims to use a form of LISA, Local Moran, to cluster and map epidemiological data, the number of tuberculosis (TB) cases in South Sulawesi. The novelty of this research is that the mapping of TB infectious disease in South Sulawesi was carried out using Local Moran, as well as clustering area using K-Means. The distribution pattern of TB cases in South Sulawesi tended to be clustered and the areas that had significant spatial dependency were Makassar, Maros and Takalar. The positive Moran value in Makassar shows that the characteristics of TB cases in Makassar tended to be similar to its neighbor. Meanwhile, the negative Moran values in Maros and Takalar indicates that the characteristics of TB cases in both areas were not similar to their neighbors. The result of K-Means shows that the areas with the highest number of TB cases in South Sulawesi were Bone, Gowa and Makassar.
The Relationship of Rainfall Variability to Flood Events Using Google Earth Engine (GEE) In Makassar City Ali, Mutmainnah; Nasrul, Nasrul; Nyompa, Sukri; Arfandi, Arfandi; Maru, Rosmini
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141709192025

Abstract

Indonesian people are most harmed by flood hydrometeorological disasters, which cause material and immaterial losses. Floods often occur in some areas of Makassar City due to high rainfall and the high density of people and buildings, especially in the rainy season. This study aims to find out: the rainfall variability in the city of Makassar for 7 years (2017-2023), a map of flood inundation areas in the city of Makassar for 7 years (2017-2023), and the relationship between rainfall variability to flood events using Google Earth Engine (GEE) in the city of Makassar.  This study is quantitative descriptive, using correlation and regression analysis between rainfall variables and flood inundation area.  A cloud-based processing approach. CHIRPS data was used for rainfall analysis in Makassar City (2017-2023), and Sentinel 1 to analyze the distribution of flood inundation. The results showed that 1) rainfall variability occurred in January, February, March, November, and March. With the highest coefficient of variance value with a value of 73% in November. 2) floods that often occur in the sub-districts of Manggala, Biringkanaya, Tamalate, Tamalanrea, and Rappocini. 3) There is a significant relationship between rainfall and events in Makassar City. Spatially there were 12 flood events, temporal flood events for 7 years (2017-2023) occurred in December, January, and February.    The parameters in this study are limited to rainfall and flood inundation, for that the next study is to add various relevant parameters based on Google Earth Engine.
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.

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