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Said Fachry Assagaf
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Unit Publikasi Lantai 3 Gedung ICP FMIPA UNM Jln. Daeng Tata, Kampus UNM Parangtambung, Makassar, Indonesia 90224
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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 269 Documents
 22   23   24   25   26 
The Ability Of Green Open Space In Reducing Green House Gas (GHG) Emissions On Jalan Hertasning, Makassar City Arfandi, Arfandi; Yusuf, Muhammad; Nasrul, Nasrul; Amda, Misdar; Hasja, Aulia Diar; Maru, Rosmini
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat132620842024

Abstract

Green Open Spaces (RTH) are urban areas filled with vegetation that support ecological benefits, such as reducing greenhouse gases by absorbing CO₂ through photosynthesis. Although RTH accounts for 66 percent of the area along Jalan Hertasning, its effectiveness in absorbing CO₂ emissions from motor vehicles is not fully understood. Given the high volume of vehicles, especially during peak traffic hours, a deeper understanding of the RTH's capability to reduce CO₂ emissions is necessary. This study aims to measure CO₂ emissions from transportation, assess the RTH's ability to absorb CO₂, and develop effective RTH enhancement strategies. The research location is Jalan Hertasning in Makassar City. The method used in this study is descriptive with a quantitative approach. Results show that CO₂ emissions during peak hours cannot be fully absorbed by the existing 508 Trembles trees, which have a total absorption capacity of 1,652.07 kg/hour and cover an area of 4.4 hectares, or 75.9 percent of Jalan Hertasning. There remains 3,168.59 kg/hour of CO₂ emissions from the total 4,820.66 kg/hour during peak traffic. In addition to Trembles trees, there are other trees like Palm and Terminalia mantaly, which are still growing and not included in this study but could increase the RTH's absorption capacity in the future. The high CO₂ emissions from motor vehicles significantly impact air quality and public health. It is recommended that the government actively conduct environmental awareness campaigns focused on reducing CO₂ emissions and the importance of RTH. These campaigns can be carried out through social media, posters along Jalan Hertasning, and community outreach to reduce CO₂ levels by increasing public participation in maintaining RTH.
Prediksi Risiko Gagal Bayar Kredit Kepemilikan Rumah dengan Pendekatan Metode Random Forest Ulandari, Kartini Putri; Chamidah, Nur; Kurniawan, Ardi
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat132630212024

Abstract

Home Ownership Credit (KPR) is a credit facility provided by banks to individual customers who want to buy or repair a house. KPR also has problems with credit payment failures. This research aims to predict the risk of fraud on home ownership loans by applying the Random Forest method. Random Forest (RF) is a method that can increase accuracy results in generating attributes for each node which is done randomly. Based on the analysis results, it was found that the model with the smallest classification error was using mtry 2 and ntree 50 using a combination of training and testing data of 60%:40%. By applying the random forest algorithm, we obtained an accuracy rate of 84.75% with an Area Under the Curve (AUC) value of 84.32%, which is included in the very good classification category.
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.
Analysis of Problem Solving Ability of High School Students in Soppeng Regency in Biology Material Nurhayati B, Nurhayati B; Patongai, Dian Dwi Putri Sari; Hadis, Abdul; Nur, Buraeda
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/sainsmat141669832025

Abstract

This study aims to determine the level of problem-solving ability of high school students in Soppeng Regency. The type of research used is descriptive with a quantitative approach. The study population includes all public schools in Soppeng Regency, with a sampling technique using Cluster Random Sampling. The total sample taken was 134 students. The instrument used was a problem-solving ability test that had been tested for validity and reliability. The data collection technique was carried out by providing test instruments to students/respondents who had been appointed. Data analysis was carried out using quantitative descriptive analysis methods. The results showed that the average score of students' problem-solving ability was 74.41, which was included in the high category. Frequency distribution data also indicated that 84% of students were in the high category. The highest indicator of problem-solving skills was the ability to identify problems, with an average value of 97.68, which was included in the very high category..Keywords: Skills, Problem Solving, Biology, Soppeng
Exploring The Future Of Health Through The Selr Mathematical Model With The 4th Order Pertubation Homotopy Method On The Risk Of Diabetes Among Mathematics Students Of Fmipa Unm Due To Unhealthy Lifestyles Side, Syafruddin; Sanusi, Wahida; Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi
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/sainsmat141659102025

Abstract

This study aims to obtain a numerical solution of the Susceptible-Exposed-Latent-Recovered (SELR) model with a delay time for diabetes cases among active students of FMIPA UNM. This SELR model is built based on certain assumptions, then an analysis is carried out to determine the stability of the model, and simulations are carried out to predict the incidence rate of diabetes. This study is an applied research, and the method used to obtain a numerical solution of the SELR model is the 4th Order Homotopy Perturbation Method, using secondary data. The results of this study include a numerical solution of the SELR model for diabetes cases with the Homotopy Perturbation Method, which shows that this model can predict the potential spread of diabetes among students.
Mathematical Anxiety Analysis Among JHS Students in Makassar and Malang Putra, Muh. Hidayatullah Dwi; Purwanto, Purwanto; Kusumasari, Vita
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/sainsmat141670502025

Abstract

Research shows that female students are generally more susceptible to mathematics anxiety than male students, although some studies have found similar or higher levels of anxiety among males in certain contexts. The research gap lies in the need for further exploration of how the interaction between gender and geographical location influences the level of mathematics anxiety. This study aims to analyze the level of mathematical anxiety among junior high school students in Makassar and Malang, focusing on various aspects of mathematics anxiety and comparing these levels based on gender. The research method employed is a quantitative descriptive approach, involving 86 students from junior high schools in both cities. The instruments used include a mathematical anxiety identification test and a questionnaire that measures the four main aspects of anxiety. The results indicate that, overall, the mathematical anxiety of students in both cities falls within the moderate category across all analyzed aspects. Female students tend to experience higher levels of anxiety compared to male students, particularly in Malang, while in Makassar, male students exhibit slightly higher mathematical anxiety in several categories. This study highlights the need for self-regulated learning to reduce mathematics anxiety in both male and female students.

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