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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 15 Documents
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Search results for , issue "Vol 14, No 2 (2025): September" : 15 Documents clear
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.
Karakterisasi Dan Kinerja Fotokatalitik Komposit TiO2-ZEOLIT Untuk Degrasi Metil Jingga Pangastuti, Dyah Ayunda Pratama; Sulfikar, Sulfikar; Herawati, Netti
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/sainsmat142757972025

Abstract

Penelitian ini bertujuan untuk menentukan karakteristik komposit TiO2-zeolit yang disintesis serta mengevaluasi pengaruh variasi komposisi TiO2-zeolit sebagai fotokatalis dalam degradasi metil jingga. Zeolit diaktivasi dengan HCl dan komposit TiO2-zeolit disintesis menggunakan impregnasi serta dikarakterisasi  menggunakan  XRD.  Untuk variasi komposisi, zeolit sebanyak 3,0000 g digunakan, sedangkan jumlah TiO2  divariasikan masing-masing sejumlah (g) 0,1500, 1,0125, 1,8750, 2,7375, 3,6000. Uji degradasi metil jingga dilakukan pada konsentrasi 10 ppm dan pH 8 selama 60 menit. Konsentrasi metil jingga yang terdegradasi diukur menggunakan spektrofotometer UV-Vis pada panjang gelombang 463 nm. Data XRF menunjukkan aktivasi zeolit meningkatkan rasio Si/Al, dan data XRD menunjukkan pola difraksi yang sesuai dengan mordenit. Pada pola difraksi TiO2-zeolit, muncul puncak baru yang merupakan karakteristik fase anatase dengan sturktur tetragonal, yang mengindikasikan keberhasilan sintesis komposit TiO2-zeolit. Analisis spektrofotometer UV-Vis dari komposit TiO2-zeolit menunjukkan efisiensi degradasi metil jingga sebesar 98,28% pada komposisi 3,0000:1,8750.  Kata Kunci: Komposit TiO2-zeolit, Fotokatalisis, , Degradasi Metil jingga, Metode Impregnasi, Aktivasi zeolit.
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.
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.
Comparison Of Bayesian Spatial Car Models For Estimating The Risk Of Diarrhea Cases In Makassar City Bakri, Nurul Aulya; Yudi, Wanda; Aswi, Aswi; Hidayat, Rahmat
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/sainsmat142774752025

Abstract

Diarrhea continues to pose a significant public health challenge in Makassar City, with incidence varying across sub-districts. Mapping diarrhea risk is essential for public health planning, as it helps identify high-risk areas and allocate resources efficiently. Accurate spatial risk assessment supports targeted interventions and informs evidence-based health policies. This study aimed to identify areas with high and low relative risks (RR) of diarrhea cases using Bayesian spatial Conditional Autoregressive (CAR) models, specifically the Besag–York–Mollié (BYM) and Leroux approaches. The analysis was based on case data from 15 sub-districts in Makassar City in 2023. Model performance was assessed using the Deviance Information Criterion (DIC) and the Watanabe–Akaike Information Criterion (WAIC). The CAR-Leroux model with an Inverse Gamma (IG) hyperprior (0.5; 0.0005) was identified as the best-fitting model, providing the most reliable estimation of relative risk. Kepulauan Sangkarrang exhibited the highest RR, indicating a markedly elevated risk of diarrhea relative to the city average, while Biringkanaya District showed the lowest RR, reflecting a substantially lower risk compared to the average.Keywords: Bayesian spasial models, CAR BYM, CAR Leroux, Diarrhea, Relative risk.

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