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Published by Universitas Negeri Makassar
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Articles 14 Documents
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Search results for , issue "Vol 14, No 1 (2025): Maret" : 14 Documents clear
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.

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