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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 13 Documents
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Search results for , issue "Vol 13, No 2 (2024): September" : 13 Documents clear
Seagrass As A Leading Commodity To Drive The Sustainable Fisheries Sector In Sulampua Jusniar, Jusniar; Nugroho, Wisnu Adi Agung
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/sainsmat132651162024

Abstract

The aquaculture sector is a potential sector because it has long-term outputs with minimal risk. One of the best commodities in the aquaculture sector is seaweed. Indonesia, the world’s largest exporter of seaweed makes this commodity has an incridible value as gold. Furthermore, its high economic value and international trade potential solidify seaweed's nickname as 'green gold'.. Sulampua as the heart of seaweed producers should be able to maximize the potential of this commodity. The economic conditions of the fishing sector have been fluctuating over the last decade. A study of the blue economy is needed to maximize the potential of fishing potential commodities to accelerate economic growth sustainably. This research aims to look at a general view of the potential commodities of seaweed as green gold in the ocean of Sulampua. The variables used to measure seaweed's potential for economic growth in Sulampua are the value of seaweed production, the weight of seaweed production, the number of households in seaweed farming, and the amount of seaweed fishermen. The method used to analyze the impact of seaweed commodity variables on the economic growth of the fishing sector is panel data regression analysis with the Random Effect Model (REM). The selected model shows R-Squared value of 0,4470, which means that 44.70% of the model can explain the influence of the independent variable on the dependent variable. The results show that the variables value of seaweed production and the weight of seaweed production has a significant impact on the economic growth of the fishing sector.
Ethnomathematics Exploration of Maggurecceng, Engklek, and Sayyang Pattudu in the Concept of Number Naufal, Muhammad Ammar; Ja'faruddin, Ja'faruddin; Ihsan, Hisyam
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/sainsmat132515432024

Abstract

Ethnomathematics connects cultural practices with mathematical concepts, offering an engaging learning approach for students. This study conducts a Systematic Literature Review (SLR) of 178 articles from the Google Scholar database (2012 2022) to explore the relationship between traditional cultural activities and the concept of numbers. It focuses on cultural elements such as Maggurecceng, Engklek, and Sayyang Pattudu, revealing how these traditional games can enhance students’ understanding of number concepts, such as addition, multiplication, and numerical comparisons. The findings highlight the potential of ethnomathematics to foster mathematical abilities through culturally relevant learning activities, thereby promoting both mathematical comprehension and cultural appreciation in educational contexts. This review emphasizes the integration of culture into mathematics education as a tool for improving learning outcomes, particularly in developing numerical literacy.
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.
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.
Analysis Of Student Perceptions Of The Use Of Artificial Intelligence In Science Learning In Elementary School Wirawan, Zose; 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.
SITR Model of Tuberculosis Spread in Makassar City Fadhilah, Helisyah Nur; Annur, Ahmad Ihda Falah; Oktavia, Eka Putri
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/sainsmat132641622024

Abstract

ABSTRACTTuberculosis or TBC is a type of chronic infectious disease caused by bacteria called Mycobacterium tuberculosis. The disease poses a serious threat to health regardless of age or gender. Individuals infected with this disease will experience symptoms such as coughing with sputum or blood, chest pain, and high fever. Transmission occurs through aerosols and droplets, allowing the bacteria to spread through the air and requires a minimum of 6 months of treatment for recovery. Therefore, The SITR (Suspectible-Infective-Treatment-Recovered) mathematical model with the Euler method is appropriately used in this article to describe the condition where infected individuals need treatment for recovery. The data analyzed comes from tuberculosis case reports collected by the South Sulawesi Regional Health Agency in 2015. This research has important relevance in understanding the dynamics of TB spread and provides a basis for the development of disease spread strategies. By using mathematical models, key factors affecting the spread of tuberculosis can be identified. Keywords: Mathematical Model, SITR Model, Dynamics of Spread, Tuberculosis.
The Effect Of Using Stem-PJBL Toward Science Literacy Ability And Collaboration Skill Of Prospective Science Teachers: Study On Subject Of Matter And Energy Yunus, Sitti Rahma; Arif, Rifda Nur Hikmahwati; Yanto, Nurfitra; Sarina, Sarina; Pertiwi, Andini; Alim, Muhammad Harisah
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/sainsmat132667682024

Abstract

This research aims to analyze the level of science literacy ability and collaboration skill of prospective science teachers in the course of Matter and Energy and analyze the influence of STEM-PJBL learning on literacy abilities science and collaboration skills. This research is a pre-experiment with the research design used was One-Shot Case Study. In this design, students are given treatment, then observations are made about collaboration skill and they are given a scientific literacy ability test. The population in this study were all students of the faculty of Mathematics and Natural Science, Universitas Negeri Makassar at the Science Education Study Program in the even semester of the 2022/2023 academic year, while the sample in this study was students in the regular class of the 3rd semester of the 2022/2023 academic year which consisted of 2 classes that programmed the course of Matter and Energy. The regular class 01 as an experimental class and regular class 02 as a replication class. The research instruments used to measure collaboration skills are non-test instruments in the form of collaboration skills observation sheets and scientific literacy test instruments in the form of multiple choices. The results of descriptive statistical analysis show that the level of scientific literacy skills is in high category and the level of collaboration skills of prospective science teachers is in the very high category. The results of the inferential analysis show that the application of STEM-PJBL influences the scientific literacy abilities and collaboration skills of prospective science teachers in substance and energy courses. These results show that STEM-PJBL learning can be applied to other subjects because it can improve scientific literacy skills and collaboration skills of prospective teachers. It can be implemented to examine the effectiveness of this model in similar variables on the other subjects.
Analisis Keterampilan Proses Sains pada Pembelajaran IPA Setelah Pandemi Covid-19: Literatur Review Arsyad, Arie Arma; Muhiddin, St. Mutia Alfiyanti; Yanto, Nurfitra; Syakur, Akhmad
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/sainsmat132669792024

Abstract

Keterampilan proses sains merupakan salah satu dari capaian pembelajaran pada kurikulum merdeka pada pembelajaran IPA. Penelitian ini menggunakan literatur review pada sejumlah artikel yang telah diterbitkan pada jurnal pendidikan IPA di Indonesia setelah pandemi covid-19 tahun 2021-2024 dengan keterampilan proses sains pada pembelajaran IPA di SMP sebagai fokus penelitian. Artikel yang dikumpulkan melalui database google scholar dan dipublikasikan melalui jurnal terakreditasi Kemendikbudristek. Terdapat 17 data jurnal yang menjadi sampel. Teknik analisis data yang digunakan adalah teknik PRISMA. Berdasarkan hasil analisis penelitian diperoleh bahwa terdapat beberapa model pembelajaran yang dapat melatihkan keterampilan proses sains dengan baik dan membantu peserta didik dapat menyelesaikan masalah sehari-hari.Kata kunci: keterampilan proses sains, literatur review, teknik PRISMA, pembelajaran IPA.
Adsorption Kinetics of Cd(II) From Aqueous Solution Using Surfactant Modified Activated Carbon-Sodium Lauryl Sulphate (SMAC-SLS) Side, Sumiati; Putri, Suriati Eka; Perdana, Rini; Rahman, Abd.
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/sainsmat132661382024

Abstract

The purpose of this study was to determine the adsorption kinetic model of Cd(II) from aqueous solution using Surfactant Modified Activated Carbon-Sodium Lauryl Sulphate (SMAC-SLS). This study began by varying pH, contact time, and adsorbate concentration. The concentration of Cd(II) was measured using a spectrophotometric method. The results of the analysis showed that the optimum pH occurred at pH 5 with an adsorption percentage of 84.58±1.44% and the optimum contact time at 100 minutes with an adsorption percentage of 88.75±1.5%. Furthermore, in the variation of adsorbate concentration, the adsorption percentage decreased with increasing adsorbate concentration. The adsorption kinetics followed a pseudo second order with an R2 value of 0.9945 with an adsorption capacity of 8.89 mg/g. Thus, the use of SMAC-SLS as a future adsorbent for Cd(II) is highly recommended.

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