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SAINSMAT
Published by Universitas Negeri Makassar
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Articles 288 Documents
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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.
Effect Of Blended Learning On Independence And Learning Outcomes Of Grade Xi Learners Khatimah, Khusnul; Adnan, Adnan; Pagarra, Halifah
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/sainsmat132647482024

Abstract

Research was carried out with the aim of finding out blended learning on the independence and learning outcomes of class XI MAN 1 Makassar City students. A posttest only control design was used in this research, which is a type of quasiexperimental research. Entire class of XI MAN 1 Makassar City, consisting of 12 classes, was used as the population, then selected by random sampling to obtain 4 classes as samples consisting of 3 experimental classes and 1 control class. Implementation of learning in experimental group used an ICT-based MPBK model with blended learning approach, while in the control group used direct instruction learning model with teacher-based learning approach. Data collection on learning independence is non-test instrument in the form of questionnaire and data collection on learning outcomes is test instrument in form of objective and subjective questions. Data results were then analyzed using descriptive statistics followed inferential statistics. Results of the descriptive analysis showed that the experimental group had better independence and learning outcomes than tcontrol group. Results of the inferential analysis used normality tests, homogeneity, hypothesis testing with multivariate analysis of variance tests and further Tukey HSD tests. From hypothesis testing it was found that the significance value was 0.000 < 0.05, so there was influence of blended learning on independence and learning outcomes of class XI MAN 1 Makassar City students. Results of further tests with Tukey HSD for independence and learning outcomes showed that experimental and control groups were in different subset columns so that there were significant differences between groups, which means that statistically blended learning has influence on students' independence and learning outcomes.
Long-Term Changes In Rainfall Under Climate Change In East Nusa Tenggara Province 1971-2020 Wibowo, Ofana Tri; Afghani, Fadhli Aslama; Mashuri, Imawan; Asifin, Hasyid Agha Zuhairul
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/sainsmat132569172024

Abstract

The current climate change is when the Earth's temperature increases due to increased greenhouse gas concentrations. The increase in greenhouse gasses has the potential to change the global climate system, one of which can impact changes in rainfall patterns. As a result, changes occur in various aspects of the planet, especially the atmosphere's composition, which can affect life on Earth. This study aims to analyze the characteristics of rainfall changes in East Nusa Tenggara Province during the 1971-2020 period. The data used is ERA5 reanalysis data in the form of daily rainfall with a spatial resolution of 0.25° X 0.25° for 50 years in East Nusa Tenggara Province for the period 1971-2020. The results of the analysis show that rainfall in East Nusa Tenggara Province has decreased from 1971-2020, with monthly and seasonal averages per period. The highest average monthly rainfall occurred in period 1 (1971-2000), with an average value of 137,491 mm, while the lowest value occurred in period 3 (1991-2020), with an average value of 125,242 mm. The highest average seasonal rainfall occurred in period 1 (1971-2000) of the DJF season, with an average of 757.19 mm, while the lowest value occurred in period 3 (1991-2020) of the SON season, with an average of 143.69 mm.
Analysis Of Student Perceptions Of The Use Of Artificial Intelligence In Science Learning In Elementary School Wirawan, Zoe; Arwien, Rizki Trisnawaty; Muriati, St.
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/sainsmat132657652024

Abstract

The aim of this research is to analyze students' perceptions regarding the application of artificial intelligence in science learning materials. The research method used in this study is a descriptive quantitative approach to evaluate the perceptions of elementary school students towards the implementation of artificial intelligence (AI) in science education in Makassar in June 2024. Data analysis techniques involve descriptive statistics. The subjects of the study consisted of 26 students, with instrument being a 24-item questionnaire using a Likert scale from 1 to 5. This questionnaire was designed to assess students' learning experiences, interests, motivation, benefits, impacts, as well as challenges and expectations. The results indicate that the use of AI in science learning has a significant positive impact, enhancing students' learning experiences, interests, and motivation. The majority of students reported that AI aided them in understanding the material, exam preparation, and learning outcomes. However, there were some challenges such as technical issues and adaptation that need to be addressed. Students have high expectations for the sustainability of this technology. To optimize the benefits of AI and overcome challenges, technical support, training, and adequate infrastructure are needed so that all students can equitably benefit from this technology.
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.
Sintesis Komposit Kitin-Silika (Ki-Sil) dan aplikasinya sebagai adsorben Logam Fe(III) dan Cr(III) Hasri, Hasri; Pratiwi, Diana Eka; Rahma, Muftihatu; Negara, Satria Putra Jaya; Genisa, Marlina Ummas; Rizal, Haryanti Putri
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/sainsmat141707452025

Abstract

Limbah sekam padi dapat dimanfaatkan sebagai sumber silika dengan kandungan silika sebesar 86,90-97,30 % hal ini berpotensi sebagai material berbahan dasar silika. Demikian pula sumber kitin berlimpah pada cangkang crustaceas (kepiting, udang, lobster dll), perpaduan kitin-silika (Ki-Sil) sebagai komposit menjadi sangat menarik untuk diteliti. Sehingga penelitian ini bertujuan untuk mensintesis komposit Ki-Sil dan aplikasinya sebagai adsorben ion logam Fe(III) dan Cr(III). Mula-mula dilakukan ekstraksi silika sekam padi selanjutnya sintesis komposit Ki-Sil. Komposit yang diperoleh  dioptimasi terhadap pH dengan variasi pH (2-6), kapasitas adsorpsi dengan variasi konsentrasi (50-150 ppm) dan uji selektivitas adsorpsi kedua ion logam dengan perbandingan (0,25:0,75 ; 0,75:0,25 dan 1:1). Analisis gugus fungsi Ki-Sil menggunakan FTIR dan analisis morfologi menggunakan SEM. Hasil penelitian diperoleh pH optimum 4 untuk adsorpsi kedua logam target. Kapasitas adsorpsi logam Fe(III) berturut-turut adalah 31,49 mg/g; 69,69 mg/g; 89,83 mg/g dan 138,57 mg/g. Dan kapasitas adsorpsi logam Cr(III) berturut-turut adalah 37,80 mg/g; 70,86 mg/g; 89,98 mg/g dan 138,84 mg/g. Hasil uji selektivitas menunjukkan bahwa Ki-Sil mengadsorpsi logam Fe(III) sebesar 0,9820 mmol dan terhadap logam Cr(III) sebesar 0,9949 mmol. Disimpulkan bahwa komposit Ki-Sil lebih selektif mengadsorpsi logam Cr(III).
Pengembangan Nanoemulsi Ekstrak Daun Kelor (Moringa Oleifera) Sebagai Antioksidan, Antibakteri Dan Antiluka Hidayat, Muh Akbar; Hartati, Hartati; Pagarra, Halifah; Sahribulan, Sahribulan
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/sainsmat141671352025

Abstract

This study aims to determine the effect of moringa leaf extract nanoemulsion (Moringa Oleifera Lamk.) on bacterial growth, antioxidant activity and wound healing potential in white rats (Rattus novegicus). The research method includes extraction of Moringa, making nanoemulsion of Moringa leaf extract concentrations of 75, 100 and 125 milligrams. Droplet nanoemulsion using Particle Size Analyzer (PSA), antibacterial with inhibition zone diameter (mm), antioxidant with DPPH (1,1 diphenyl-2-picrylhydrazyl) and measurement of wound healing activity by determining the percentage of wound closure in rats. The study used a completely randomized design (CRD) and Analysis of Variant (ANOVA) test followed by Tukey test. Antioxidant activity obtained IC50 Formula 1 amounted to 157.35 ppm, Formula 2 amounted to 123.40 ppm, Formula 3 amounted to 110.12 ppm, Moringa leaves extract amounted to 58.63 ppm and BHA comparison amounted to 6.84 ppm. Moringa leaf extract and nanoemulsion formula showed good wound healing activity which was faster than the positive control. It is found that moringa leaf extract and nanoemulsion formulation have antibacterial activity against S. aureus and E. coli. The wound healing activity of the nanoemulsion formulation was classified as good in mice with a faster wound healing process than the positive control.
The Effect of Gimkit Media in Discovery Learning Model on The Concept Understanding Mustafah, Alfian; Yunus, Muh.; Side, Sumiati
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/sainsmat141706782025

Abstract

This study aims to analyze the effect of Gimkit learning media in  discovery learning model on the conceptual understanding of class XI students of SMA Negeri 9 Makassar on  material of solubility and solubility product in 2023/2024 using quasi-experimental and posttest only control group design. Population includes all class XI students with simple random sampling. XI Kimia 1 (24 students) as experimental group, while XI Kimia 3 (35 students) as control group. Independent variables use Gimkit in discovery learning and discovery learning model without Gimkit, while dependent variable is conceptual understanding as measured through cognitive learning outcomes. Instrument uses a learning outcome test. The results of descriptive analysis that average learning outcomes of experimental group are 82.87 higher than control group 78.7. Inferential analysis using Mann-Whitney Test shows Zcount> Ztable (2.00> 1.64), meaning that Gimkit in discovery learning affects students' conceptual understanding.

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