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<![CDATA[Seagrass As A Leading Commodity To Drive The Sustainable Fisheries Sector In Sulampua ]]>
<![CDATA[Jusniar, Jusniar]]>;
<![CDATA[Nugroho, Wisnu Adi Agung]]>
<![CDATA[ Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September ]]>
Publisher : <![CDATA[Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar ]]>
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DOI: 10.35580/sainsmat132651162024
<![CDATA[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.]]>
<![CDATA[Ethnomathematics Exploration of Maggurecceng, Engklek, and Sayyang Pattudu in the Concept of Number ]]>
<![CDATA[Naufal, Muhammad Ammar]]>;
<![CDATA[Ja'faruddin, Ja'faruddin]]>;
<![CDATA[Ihsan, Hisyam]]>
<![CDATA[ Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September ]]>
Publisher : <![CDATA[Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar ]]>
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DOI: 10.35580/sainsmat132515432024
<![CDATA[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.]]>
<![CDATA[The Effect Of Using Stem-PJBL Toward Science Literacy Ability And Collaboration Skill Of Prospective Science Teachers: Study On Subject Of Matter And Energy ]]>
<![CDATA[Yunus, Sitti Rahma]]>;
<![CDATA[Arif, Rifda Nur Hikmahwati]]>;
<![CDATA[Yanto, Nurfitra]]>;
<![CDATA[Sarina, Sarina]]>;
<![CDATA[Pertiwi, Andini]]>;
<![CDATA[Alim, Muhammad Harisah]]>
<![CDATA[ Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September ]]>
Publisher : <![CDATA[Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar ]]>
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DOI: 10.35580/sainsmat132667682024
<![CDATA[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.]]>
<![CDATA[The Ability Of Green Open Space In Reducing Green House Gas (GHG) Emissions On Jalan Hertasning, Makassar City ]]>
<![CDATA[Arfandi, Arfandi]]>;
<![CDATA[Yusuf, Muhammad]]>;
<![CDATA[Nasrul, Nasrul]]>;
<![CDATA[Amda, Misdar]]>;
<![CDATA[Hasja, Aulia Diar]]>;
<![CDATA[Maru, Rosmini]]>
<![CDATA[ Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September ]]>
Publisher : <![CDATA[Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar ]]>
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DOI: 10.35580/sainsmat132620842024
<![CDATA[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.]]>
<![CDATA[Adsorption Kinetics of Cd(II) From Aqueous Solution Using Surfactant Modified Activated Carbon-Sodium Lauryl Sulphate (SMAC-SLS) ]]>
<![CDATA[Side, Sumiati]]>;
<![CDATA[Putri, Suriati Eka]]>;
<![CDATA[Perdana, Rini]]>;
<![CDATA[Rahman, Abd.]]>
<![CDATA[ Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September ]]>
Publisher : <![CDATA[Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar ]]>
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DOI: 10.35580/sainsmat132661382024
<![CDATA[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.]]>
<![CDATA[Limit of Function Understanding by Student of National Mathematics Olimpiad ON MIPA in University ]]>
<![CDATA[Tonra, Wilda Syam]]>;
<![CDATA[Suryadi, Didi]]>;
<![CDATA[Kusnandi, Kusnandi]]>;
<![CDATA[Mulyaning. A, Endang Cahya]]>
<![CDATA[ Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September ]]>
Publisher : <![CDATA[Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar ]]>
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DOI: 10.35580/sainsmat132654872024
<![CDATA[Limits of function is one of sub-topic of Calculus that is complex and difficult to understand. Several studies, both examining misconception and understanding related to function limits, aim to improve teaching and learning. This research is single Subject Research with a single subject, namely by Student of National Mathematics Olimpiad ON MIPA in University. Data was collected through a test instrument consisting of 7 questions on understanding function limits and interviews were conducted to confirm the subject's answers. Data analysis is qualitative. The research results show that 1) Subject can determine the limit value of the function. However, the subject still has a partial understanding. 2) Subject does not understand the meaning of function limits. The subject believes that if there are 2 functions with the same function limit value, then both functions will be the same. 3) Subject can determine the value of the left limit and the right limit from the graph of the given function. 4) Subject cannot formally prove (epsilon-delta) the limit value of the function, the subject does not yet understand what information is given, what information will be sought. The subject is also not able to determine the delta limit in proof problems that have factors 5) Subject can determine the limit value at infinity 6) Subject can determine the value of infinite limit 7) Subject can investigate whether a function is continuous or not continuous. The conclusion of the research is that from 7 understandings of function limits, the subject has 4 perfect understandings regarding left and right limits, limits at infinity and infinity and function continuity. However, the subject was not yet able to prove the limit (epsilon-delta).]]>
<![CDATA[Prediksi Risiko Gagal Bayar Kredit Kepemilikan Rumah dengan Pendekatan Metode Random Forest ]]>
<![CDATA[Ulandari, Kartini Putri]]>;
<![CDATA[Chamidah, Nur]]>;
<![CDATA[Kurniawan, Ardi]]>
<![CDATA[ Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September ]]>
Publisher : <![CDATA[Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar ]]>
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DOI: 10.35580/sainsmat132630212024
<![CDATA[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.]]>
<![CDATA[Effect Of Blended Learning On Independence And Learning Outcomes Of Grade Xi Learners ]]>
<![CDATA[Khatimah, Khusnul]]>;
<![CDATA[Adnan, Adnan]]>;
<![CDATA[Pagarra, Halifah]]>
<![CDATA[ Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September ]]>
Publisher : <![CDATA[Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar ]]>
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DOI: 10.35580/sainsmat132647482024
<![CDATA[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.]]>
<![CDATA[Long-Term Changes In Rainfall Under Climate Change In East Nusa Tenggara Province 1971-2020 ]]>
<![CDATA[Wibowo, Ofana Tri]]>;
<![CDATA[Afghani, Fadhli Aslama]]>;
<![CDATA[Mashuri, Imawan]]>;
<![CDATA[Asifin, Hasyid Agha Zuhairul]]>
<![CDATA[ Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September ]]>
Publisher : <![CDATA[Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar ]]>
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DOI: 10.35580/sainsmat132569172024
<![CDATA[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.]]>
<![CDATA[Analysis Of Student Perceptions Of The Use Of Artificial Intelligence In Science Learning In Elementary School ]]>
<![CDATA[Wirawan, Zoe]]>;
<![CDATA[Arwien, Rizki Trisnawaty]]>;
<![CDATA[Muriati, St.]]>
<![CDATA[ Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September ]]>
Publisher : <![CDATA[Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar ]]>
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DOI: 10.35580/sainsmat132657652024
<![CDATA[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.]]>
