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The Effectiveness Of Patchouli Leaf Decoction (Pogostemon cablin Benth) as a Bioinsecticide Against Aedes sp Wenty, Darmayanita; Hardiansyah, Ikdal; Sultanul Aulya, Muhammad; Idris, Sri Aprilianti; Firdayanti; Susanti, Susanti
HEALTH SCIENCE & BIOMEDICAL JOURNAL Vol. 1 No. 1 (2025): April 2025 : Health Science & Biomedical Journal (HSBJ)
Publisher : Literasi Indonesia Emas (PT)

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Abstract

Background: Aedes sp. is a primary vector responsible for transmitting several diseases such as dengue hemorrhagic fever, filariasis, chikungunya, leptospirosis, and bubonic plague. The expansion of its population from urban to rural areas necessitates new control measures. Patchouli leaves (Pogostemon cablin Benth) contain bioactive compounds such as flavonoids, tannins, and phenolic hydroquinone with potential mosquito-killing properties. Objective: To determine the effectiveness of boiled water extract of patchouli (Pogostemon cablin Benth) leaves against the mortality of Aedes sp. mosquitoes. Methods: An experimental design was used with three treatment groups receiving patchouli leaf extract concentrations of 80%, 90%, and 100%, along with a negative control (aquadest) and a positive control. Each treatment involved 25 mosquitoes with three replications. Observations were made over a 24 hour period (1440 minutes). Data were analyzed using a one-way ANOVA test. Results: The average mosquito mortality was 6.6 mosquitoes (27%) at 80% concentration, 11.6 mosquitoes (48%) at 90% concentration, and 16 mosquitoes (64%) at 100% concentration. Conclusion: The boiled water extract of patchouli leaves (Pogostemon cablin Benth) demonstrated effectiveness in increasing Aedes sp. mortality, with higher concentrations showing greater mosquito-killing activity.
Implementasi Peraturan Daerah Nomor 7 Tahun 2011 tentang Retribusi Pelayanan Pasar di Pasar Bumi Harapan Kabupaten Tolitoli Andi Nur' Aini; Firdayanti
Jurnal Sektor Publik Vol 1 No 2 (2024): Edisi Desember 2024
Publisher : FISIP Universitas Madako Tolitoli

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56630/jsp.v1i2.1022

Abstract

Penelitian ini bertujuan untuk mendeskripsikan dan menganalisis implementasi Peraturan Daerah Nomor 7 Tahun 2011 tentang Retribusi Pelayanan Pasar di Pasar Bumi Harapan Kabupaten Tolitoli. Penelitian ini dilaksanakan selama dua bulan, dari tanggal 7 Juni hingga 5 Agustus 2024. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dokumentasi, dan triangulasi. Analisis data dilakukan berdasarkan model Miles dan Huberman, meliputi tahap pengumpulan data, reduksi data, penyajian data, dan penarikan kesimpulan. Teori yang digunakan dalam penelitian ini adalah model implementasi kebijakan Van Meter dan Van Horn, yang mencakup enam indikator keberhasilan: standar dan sasaran kebijakan, sumber daya, karakteristik organisasi pelaksana, sikap pelaksana, komunikasi antarorganisasi, serta lingkungan sosial, ekonomi, dan politik. Hasil penelitian menunjukkan bahwa implementasi kebijakan retribusi pasar belum berjalan maksimal. Hambatan utama meliputi rendahnya kesadaran pedagang untuk membayar retribusi tepat waktu, kurang tegasnya pelaksana kebijakan dalam penerapan sanksi, ketidaksesuaian realisasi retribusi dengan target yang ditetapkan, dan kurang optimalnya pengawasan serta koordinasi antarinstansi. Oleh karena itu, diperlukan upaya perbaikan dari aspek perencanaan, pengawasan, dan peningkatan kesadaran wajib retribusi guna mendukung efektivitas kebijakan retribusi pelayanan pasar.
Analysis of the Potential of Platelet Indices as a Predictor of Hematological Comorbidity in Patients with Diabetes Mellitus Umar, Ani; Wenty, Darmayanita; Firdayanti; Susanti; Umar, Heni
Public Health of Indonesia Vol. 11 No. 4 (2025): October - December
Publisher : YCAB Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v11i4.1591

Abstract

Background: Diabetes Mellitus (DM) is one of the chronic diseases that is a global burden. The increase in DM cases poses a risk of complex comorbidities such as cardiovascular disease, kidney disease and hematological disorders. The Platelet indices (MPV, PDW, PCT, P-LCR) reflects platelet activation and has the potential to be a biomarker for predicting comorbidities, so it can help improve the quality of clinical management in DM patients. Objective: This study aims to evaluate the predictive potential of platelet indices as a biomarker of comorbidity hematology in DM patients. Methods: An analytical study with a cross-sectional design was conducted from June to July 2025 at the Bahteramas Regional Hospital, Indonesia, involving 100 patients with diabetes mellitus and 100 healthy individuals as controls selected through purposive sampling. Venous blood samples were taken from all participants to measure platelet indices (PLT, MPV, PDW, P-LCR) using an automated hematology analysis tool. Data analysis was carried out by an independent sample t-test to compare index values between groups, as well as an ROC curve to evaluate its predictive value against DM status, Statistical significance was set at p < 0.05. Results: showed that the mean platelet indices in the group of healthy individuals with PLT was 229.98 ×10³/μL and in DM patients with a mean value of 260.71 ×10³/μL, MPV in healthy individuals with MPV was obtained at 10.24 fL. In DM it rises to 10.46 fL. The PDW value in healthy individuals was 9.82 fL. In DM the average value increased to 11.80 fL, in Healthy Individuals PCT averaged 24.7%, In DM the value increased to 28.7%. The P-LCR value in healthy individuals was 22.12%. In DM, the average value increased to 25.80%, with a significant value of P< 0.05 which shows that between healthy patients and DM patients there is a significant difference in terms of PLT, MPV, PDW, PCT and P-LCR parameters. The ROC curve of each platelet parameter (PLT, MPV, PDW, PCT, and P-LCR) illustrates the sensitivity and specificity of the model in predicting the occurrence of comorbidities. This can be obtained from the Under the Curve Area Value (AUC) which shows that PDW has the highest AUC of 83.4%, which indicates the ability of the most effective parameters in predicting comorbidities in DM patients. Conclusions: This study shows that platelet indices, especially PDW values, has the most effective potential as a practical and easily accessible hematological biomarker for predicting comorbidity risk in patients with diabetes mellitus. These results confirm the role of the predictive value of platelet indices in early detection and risk stratification, which can support more proactive clinical decision-making and management of DM patients.