No abstract

Pelabuhanratu located in strategic coastal area, make it as the Centre of Growth in Sukabumi District. In this regard, landcover changes continue to occur and could trigger unsustainable environmental. The purpose of this study is to analysis the land cover change of Pelabuhanratu city until 2032. The Cellular Automata-Markov is used to identify the spatial growth, several factors that encourage the landcover change used as an input. The driving factor was build based on fuzzy logic, the variables are proximity to road, proximity to river, proximity to coastline proximity to point of interest, elevation, slope and landcover. Then, suitability area for built up area as input for Cellular Automata-Markov tools. Landcover was obtained from google earth in 2002, 2010 and 2017 then used as the basis for model calculation. The prediction result shows that land cover change in Pelabuhanratu city is very significant with the Kappa Standard level reach 91% accuracy. Built up area has extended from the previous condition that coming from agricultural area. Moreover, the area growth with linear pattern at south area, spread pattern at north area and crowded at west area.

Pelabuhanratu merupakan wilayah pesisir yang strategis untuk berkembang. Hal tersebut membuat pemerintah setempat menjadikan Pelabuhanratu sebagai Growth Center dari kabupaten Sukabumi. Berkaitan dengan hal itu, perubahan tutupan lahan terus terjadi dan dikhawatirkan tidak mendukung keberlanjutan lingkungan, terutama lahan terbangun. Tujuan dari penelitian ini adalah menganalisis bagaimana perubahan tutupan lahan di Kota Pelabuhanratu. Metode yang digunakan dalam penelitian ini adalah Weighted of Evidence (WofE) dengan beberapa faktor yang mendorong terjadinya perubahan tutupan lahan (driving factor). Faktor penentu dibuat dengan logika fuzzy dengan beberapa variabel yaitu jarak dari jalan, jarak dari point of interest, jarak dari sungai, jarak dari pantai, wilayah ketinggian, kemiringan, dan tutupan lahan. Tutupan lahan diambil dari Google Earth pada tahun 2002, 2010 dan 2017. Hasil analisis menunjukkan bahwa perubahan tutupan lahan di kota Pelabuhanratu secara spasial perkembangan lahan terbangun cenderung terpusat di kelurahan Pelabuhanratu, semakin dekat dengan kelurahan Pelabuhanratu, semakin cepat perkembangan lahan terbangun dan sebaliknya arah pertambahan luas lahan terbangun cenderung mengikuti topografi, wilayah ketinggian, jaringan jalan, jaringan sungai, keberadaan pantai, dan keberadaan POI.

Aims Acute coronary syndrome (ACS) is responsible for high rates of hospital admission with high cost burden. Knowing patients with projected prolonged length of stay (LOS) could enable clinicians to do early interventions and better preparations. This study aims to identify factors associated with prolonged LOS in ACS patients at the time of admission. Method and Result We included 237 ACS patients admitted to Kediri General Hospital and Bogor General Hospital between January and June 2020. Patients who died during hospitalization or discharged by their own will were excluded. Data were collected retrospectively and analyzed using SPSS v25. Prolonged LOS was defined as LOS more than 6 days. The mean age was 57.5±0.7 years, majority was male (65.8%) and had diagnosis of NSTE-ACS (56.5%). The median LOS was 5 days (2-23), and the prevalence of prolonged LOS was 18.1%. On bivariate analysis, factors associated with prolonged LOS were high risk age (men > 40 years and women > 50 years) (p = 0.01), hypotension (p < 0.01), decreased consciousness (p = 0.004), sign of shock (p = 0.002), tachycardia (p = 0.001), and higher Killip class (p = 0.002). After multivariable adjustment and stepwise elimination, hypotension was found to be significant independent predictor for prolonged LOS (OR 38.512 [95% CI 4.5-328], p = 0.001). The area under the receiver operating characteristic curve (AUC) was 0,704 (95% CI 0.614-0.794) which showed acceptable discrimination, and calibration was good (Hosmer-Lemeshow test: p = 0.96). Conclusion Hypotension was found to be strong independent predictor for prolonged LOS in ACS patients.

Background and Aims Since March 2020, transmission of coronavirus disease 2019 (COVID-19) in Indonesia have led to substantial decline in non-COVID-19 hospitalizations and healthcare services. We ought to determine the impact of COVID-19 pandemic on acute coronary syndrome (ACS) hospitalizations, treatments, and outcomes. Methods and Results We conducted a dual-center observational study in Bogor City General Hospital and Kediri General Hospital, Indonesia. We included all ACS patients between January-June 2020. Subjects were divided into two groups: pandemic period (admitted in March-June 2020) and pre-pandemic period (admitted in January-February 2020). 279 subjects were involved (107 pandemic vs 172 pre-pandemic). Monthly average ACS admissions reduced by 68.6% during pandemic period compared to pre-pandemic period. Proportion of STEMI subjects was significantly higher during pandemic compared to pre-pandemic (56.1% vs 38.4%; p = 0.004). Proportion of Killip 3-4 subjects was also significantly higher during pandemic compared to pre-pandemic (26.2% vs 14.5%; p = 0.016). However, reperfusion therapy (PCI or fibrinolytic) proportion for STEMI subjects was significantly lower during pandemic compared to pre-pandemic (16.7% vs 31.8%; p = 0.049), although there was no significant difference in onset time of ACS symptoms before hospitalization (p = 0.793). In-hospital mortality rate was significantly higher during pandemic compared to pre-pandemic (15.9% vs 8.1%; p = 0.045). Conclusion There was a significant decline in ACS hospitalizations, increased proportion of STEMI and KILLIP 3-4 patients, and higher in-hospital mortality rate in the pandemic period compared to pre-pandemic period. Paradoxically, reperfusion therapy proportion in STEMI patients has reduced significantly during pandemic period.