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INDONESIA
SAINSMAT
Published by Universitas Negeri Makassar
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Core Subject : Education,
Education
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Articles 288 Documents
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Analysis and Simulation of SELR Model in Exploring and Predicting the Dynamics of Independent Curriculum in Addressing the Gap in Student Achievement in City Centers and Remote Areas in South Sulawesi Muktamar, Muhammad Ilham; Syam, Rahmat; Side, Syafruddin; Sainon Andi Pandjajangi, Andi Muhammad Ridho Yusuf
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/sainsmat132660242024

Abstract

This study aims to build and analyze the SELR mathematical model in the context of the Independent Curriculum, in order to explore and predict the gap in student achievement between urban and remote areas in South Sulawesi. This study combines theoretical studies and applications by conducting simulations using Maple software. The study population involved 400 students from urban areas and 400 students from remote areas where simulation data was used to predict the dynamics of adaptation to the Independent Curriculum. The results showed that the Independent Curriculum was not fully effective in addressing the achievement gap, with a low basic reproduction number (R₀), both in urban and remote areas. The R₀ value of 0.204 in urban areas and 0.614 in remote areas indicates that the spread of curriculum adaptation is still limited and cannot create a significant impact on improving student achievement. This study indicates the need for additional adjustments and interventions in the implementation of the Independent Curriculum to achieve more equitable and inclusive results in various regions .
Analysis Of Science Laboratory Management In Junior High Schools Across Tasikmalaya City: Challenges And Development Opportunities Rachman, Muhamad Taufik; Hikmaturohmi, Iqbal; Khofipah, Senda Nur; Hardian, Ari; Mustofa, Romy Faisal
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142718002025

Abstract

Penelitian ini bertujuan untuk menganalisis laboratorium manajemen IPA di SMP se-Kota Tasikmalaya, dengan menyoroti tantangan yang ada serta peluang pengembangan di masa depan. Penelitian dilakukan dengan pendekatan deskriptif kualitatif melalui wawancara mendalam, observasi langsung, dan analisis dokumen. Hasil penelitian menunjukkan bahwa pengelolaan laboratorium di sebagian besar sekolah belum sepenuhnya memenuhi standar kompetensi sebagaimana diatur dalam Permendiknas No. 26 Tahun 2008. Tantangan utama meliputi keterbatasan tenaga tenaga kerja, struktur organisasi yang tidak terdokumentasi dengan baik, minimnya digitalisasi administrasi, serta belum adanya sistem monitoring dan evaluasi yang sistematis. Meski demikian, terdapat peluang signifikan dalam peningkatan kapasitas guru, pemanfaatan informasi teknologi, serta dukungan regulasi dan kolaborasi lintas sekolah. Penelitian ini merekomendasikan perlunya penguatan kapasitas manajerial kepala laboratorium, penyediaan tenaga kerja khusus, dan sistem pelaporan administrasi yang lebih terintegrasi untuk meningkatkan efektivitas laboratorium sebagai sarana pembelajaran sains.
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.
Rat Island as a Natural Laboratory: Exploration of Environmental Physics Concepts Maulana, Yudi; lestari, Endah; Fitriani, Detty; Dinata, Kristian; Tri W, Endah; Johan, Henny
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/sainsmat132574362024

Abstract

This research aims to reveal the potential of Rat Island as a marine ecotourism destination as well as a contextualized physics learning environment. Using the descriptive qualitative method and literature review support, data were obtained through field observations and literature analysis related to sediment topography, climate, and physics concepts such as ocean waves and tree height measurements. Previous research stated that Rat Island has marine ecotourism potential that can be used as contextual physics learning material. Observation activities in the natural laboratory of Rat Island by Master of Science Education students succeeded in increasing the enthusiasm for learning and inquiry skills. Physics analysis related to tree height measurement provides a deep understanding of physics concepts that can be applied in everyday life. In addition, the research showed the tidal pattern on Rat Island as a periodic physical phenomenon that can be studied and predicted. The concept of Rat Island as a natural laboratory supports its potential as a place for learning and experimentation while supporting environmental conservation efforts. Overall, Rat Island has great potential as a source of contextual physics learning and a sustainable marine ecotourism destination.Keywords: Rat Island, Physics Learning, Tidal Wave, Natural Laboratory.
Clustering Districts/Cities In Southeast Sulawesi Province Using Fuzzy C-Means Based On Infectious Disease Cases Puja Karna, I Kadek Aryandra; Adhi Wibawa, Gusti Ngurah; Ihwal, Muhammad
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142724592025

Abstract

This study aims to determine the clustering results and characteristics of districts or cities in Southeast Sulawesi Province based on infectious disease cases in 2022 using the Fuzzy C-Means (FCM) algorithm. The analysis used the standard deviation ratio as a cluster validity measure. The clustering process produced five clusters. Cluster 1 consists of Kendari City which is characterized by a very high number of infectious disease cases. Cluster 2 includes Buton, Konawe, Bombana, North Kolaka and Baubau City which are characterized by low case numbers. Cluster 3 consists of Kolaka and South Konawe both of which have high numbers of cases. Cluster 4 includes Wakatobi, North Buton, North Konawe, East Kolaka, Konawe Islands, West Muna, Central Buton and South Buton which are characterized by very low numbers of cases. Cluster 5 consists of Muna District which is characterized by a moderately high number of infectious disease cases. These results indicate that the FCM method performs well in identifying patterns of disease spread across the region.
Antibacterial Activity of Pegagan (Centella asiatica) Leaf Extract and Fractions Against Escherichia coli and Staphylococcus aureus Pagarra, Halifah; Saalino, Erlin; Hartati, Hartati
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/sainsmat132643332024

Abstract

Pegagan atau yang dikenal dengan nama Pegagan merupakan tanaman perdu yang mengandung zat gizi dan senyawa aktif yang baik bagi tubuh, karena memiliki khasiat sebagai antibakteri, antivirus, antihipertensi, diuretik dan antiinflamasi. Tanaman ini merupakan sumber senyawa fenolik, flavonoid, triterpenoid, alkaloid dan tanin. Penelitian ini bertujuan untuk mengevaluasi aktivitas antibakteri daun pegagan. Daun pegagan diekstraksi dengan pelarut etanol 70%, kemudian difraksinasi dengan pelarut n-heksana, etil asetat dan metanol. Evaluasi aktivitas antibakteri menggunakan metode difusi cakram pada konsentrasi 5%, 10% dan 15% terhadap Escherichia coli dan Staphylococcus aureus dengan mengukur zona bening yang terbentuk di sekitar kertas cakram. Hasil penelitian menunjukkan bahwa ekstrak etanol 70%, fraksi etil asetat dan fraksi metanol:air memiliki aktivitas antibakteri terhadap kedua bakteri tersebut, sedangkan fraksi n-heksana tidak memiliki aktivitas antibakteri terhadap kedua bakteri tersebut. Ekstrak etanol dengan konsentrasi 5% menunjukkan aktivitas paling efektif dalam menghambat Escherichia coli dengan zona hambat 13,67 ± 0,428 mm dan fraksi metanol:air dengan konsentrasi 5% terhadap Staphylococcus aureus dengan zona hambat 9,35 ± 0,17 mm.Kata kunci: Antibakteri, Centella asiatica, Escherichia coli, Staphylococcus aureus
Optimal Control of a Mathematical Model for Monkeypox Transmission in Indonesia Using the Pontryagin Maximum Principle Musfira, Musfira; Side, Syafruddin; Abdy, Muhammad; Ridho, Andi Muhammad; Supriadi, Supriadi
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142763342025

Abstract

Abstract: The re-emergence of Monkeypox poses significant public health challenges in Indonesia. This disease continues to spread due to its zoonotic nature and the high frequency of human-animal interactions. This study aims to model the transmission dynamics of Monkeypox using the SIQR (Susceptible, Infectious, Quarantined, Recovered) framework and apply optimal control strategies through the Pantryagin Maximum Principle (PMP). Data from the Indonesian Ministry of Health were utilised for model parameterisation, with numerical simulations conducted using the fourth-order Runge-Kutta method. Control strategies included quarantine, tecovirimat, and public education. The simulation results revealed that implementing optimal control reduced the infected population by up to 75% within the first 10 months compared to scenarios without control. The basic reproduction number () was successfully reduced from 2.5 to below 1, indicating that the outbreak was controlled. Additionally, the recovery rate increased by 30%, with the susceptible population achieving a disease-free equilibrium by the eighth month. These findings highlight that mathematically-driven interventions can provide effective solutions for managing infectious diseases. It is recommended that these strategies be integrated into public health policies to optimise resource allocation. Further research is necessary to evaluate the scalability of this approach for other zoonotic diseases.
Bayesian Spatio Temporal Car Localized Model For Mapping The Relative Risk Of AIDS In South Sulawesi Province Taufik, Andi Gagah Palarungi; Aswi, Aswi; Annas, Suwarni
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 2 (2025): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat142776802025

Abstract

Acquired Immune Deficiency Syndrome (AIDS) remains a major public health issue in Indonesia, with South Sulawesi showing a marked rise in cases from 2022 to 2024. This study aims to estimate and visualize the relative risk of AIDS across 24 districts and municipalities in the province by incorporating population density as a spatial covariate. Data were obtained from the Central Bureau of Statistics (BPS) and the South Sulawesi Provincial Health Office. A Bayesian Localised Conditional Autoregressive (CAR) spatio-temporal framework was applied to account for both spatial dependence and temporal variation. Model selection was guided by the Deviance Information Criterion (DIC) and the Watanabe–Akaike Information Criterion (WAIC), with the best-fitting model identified at G = 3 using an Inverse-Gamma (1; 0.01) prior. The analysis revealed that population density had a significant positive association with AIDS incidence. Areas with higher density exhibited elevated relative risk values, particularly Makassar City (RR = 1.95) and Gowa Regency (RR = 1.82), whereas the lowest risks were found in Selayar (RR = 0.41) and East Luwu (RR = 0.45). These findings indicate distinct spatial clustering patterns and underscore the need for geographically focused intervention policies.

Page 29 of 29 | Total Record : 288

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