Daya tarik program radio Pikiran Rakyat FM (PRFM): Penelitian kualitatif pada anggota komunitas Stand Up Indo Bandung

Penelitian ini bertujuan untuk mengetahui daya tarik anggota Stand Up indo Bandung memilih radio PRFM dalam membuat materi dan untuk mengetahui efek dari progam radio PRFM bagi anggota Stand Up Indo Bandung. Penelitian ini menggunakan metode pendekatan kualitatif dan analisis deskriptif. Objek dalam penelitian ini adalah daya tarik program radio PRFM. Selanjutnya subjek penelitian ini adalah anggota komunitas di Kota Bandung dengan menggunakan teori S-O-R dan AIDDA. Hasil penelitian ini menunjukkan bahwa komunitas Stand Up Indo Bandung tertarik dengan program radio yang disajikan oleh PRFM, pertama; faktor yang menjadi daya tarik program radio PRFM adalah sesuai dengan usia informan (sesuai target audience), faktor penyiar dan materi siaran berupa informasi. Kedua; dari ketiga faktor tersebut, materi siaran adalah faktor utama yang menjadi daya tarik bagi komunitas Stand Up Indo Bandung. Selain itu, berita yang disampaikan oleh penyiar pada dasarnya bersifat umum, namun dari sudut pandang seorang komika berita tersebut memiliki sudut pandang yang berbeda sehingga menjadi sumber ide dalam menulis materi stand up comedy yang utuh, inilah efek yang dihasilkan dari mendengarkan program radio

Comparison of Different Multispectral Images to Map Hydrothermal Alteration Zones in Kokap, Kulon Progo

Using remote sensing data for hydrothermal alteration mapping beside saving time and reducing  cost leads to increased accuracy. In this study, the result of multispectral remote sensing tehcniques has been compare for manifesting hydrothermal alteration in Kokap, Kulon Progo. Three multispectral images, including ASTER, Landsat 8, and Sentinel-2, were compared in order to find the highest overall accuracy using principle component analysis (PCA) and directed component analysis (DPC). Several subsets band combinations were used as PCA and DPC input to targeting the key mineral of alteration. Multispectral classification with the maximum likelihood algorithm was performed to map the alteration types based on training and testing data and followed by accuracy evaluation. Two alteration zones were succeeded to be mapped: argillic zone and propylitic zone. Results of these image classification techniques were compared with known alteration zones from previous study. DPC combination of band ratio images of 5:2 and 6:7 of Landsat 8 imagery yielded a classification accuracy of 56.4%, which was 5.05% and 10.13% higher than those of the ASTER and Sentinel-2 imagery. The used of DEM together with multispectral images was increase the accuracy of hydrothermal alteration mapping in the study area

The impact of COVID-19 pandemic on decreasing hospitalization rates and management of acute coronary syndrome: a study from single centre hospital in Yogyakarta, Indonesia

The Corona virus disease-2019 (COVID-19) pandemic has an impact on the medical field, one of which is service for patients with acute coronary syndrome (ACS). Studies in other countries showed a sudden decrease in admission rates, and percutaneous coronary intervention (PCI), one of ACS treatments, has an impact due to this pandemic. This study aimed to ascertain the effect of COVID-19 on the admissions and management of patients with ACS in Yogyakarta, Indonesia. It was an observational single center study conducted by collecting data for ACS patients at Dr. Sardjito General Hospital, Yogyakarta. Admission data for March 2019 to February 2020 were pre pandemic data, while those gathered from March to December 2020 were pandemic data. Data from 864 (pre pandemic period) and 338 patients (during the pandemic period) were further analyzed. The results showed a decrease in ACS patients’ admission during the pandemic. The most remarkable reduction occurred in those with ST-segment elevation myocardial infarction (STEMI), followed by non-STEMI (NSTEMI) and unstable angina pectoris (UAP) (63.4, 61.4, and 40.9%, respectively). Furthermore, the PCI procedure decreased compared to the period before the pandemic. No significant differences in patients’ characteristics was observed (p>0.05), except for the incidence of pneumonia (p 0.05). This study showed that COVID-19 caused a sensible reduction in the admission rates for ACS patients and the number of PCI procedures have been performed. On the other hand, their mortality rate did not increase significantly. However, it is essential to improve healthcare services for ACS patients considering the uncertainty of ending the COVID-19 outbreak

Upaya Mengurangi Rendahnya Minat Literasi pada Siswa Kelas 6 SDN Plerean 2 Kabupaten Jember

The "Melek Literasi" work program began on August 3, 2024, in SDN Plerean 2 in Sumberjambe District. The goal of this study was to improve grade 6 students' interest in reading literacy at SDN Plerean 2, Sumberjambe District. This work program is intended to promote the formation of a literacy culture at a young age, with a particular focus on grade 6 children who will shortly continue their education to a higher level, namely Junior High School. The primary material utilised in this program is micro fiction novels, which are meant to develop interest in reading literacy among grade 6 pupils. This work program began with a site study and collaboration with teachers and the administrator of SDN Plerean 2 in Sumberjambe District. Of the 28 pupils in Class 6 of SDN 2 Plerean, 26 said they were motivated to read more. The work program of the Jember Collaborative KKN students at Posko 205 in Plerean Village is projected to help reduce oscillations in reading interest rates in Indonesia and enhance the accomplishment of national literacy objectives

TINJAUAN KEAKURATAN PENETAPAN KODE DIAGNOSIS UTAMA BERDASARKAN SPESIFIKASI PENULISAN DIAGNOSA UTAMA PADA DOKUMEN REKAM MEDIS RAWAT INAP DI RUMAH SAKIT PERMATA MEDIKA SEMARANG PERIODE 2012

Rumah Sakit Permata Medika Semarang merupakan rumah sakit tipe C yang telah menggunakan ICD-10 sebagai pedoman koding, di rumah sakit tersebut belum pernah diadakan penelitian untuk mengetahui keakuratan penetapan kode diagnosis utama berdasarkan spesifikasi penulisan diagnosa utama pada dokumen rekam medis rawat inap di rumah sakit Permata Medika Semarang periode 2012. Penelitian ini menggunakan metode observasi dengan pendekatan crossectional dan jenis penelitian analitik, sedangkan populasi dari penelitian ini adalah 6.553 berkas rekam medis rawat inap periode 2012 sehingga diperoleh sampel sebanyak 99 berkas yang diambil dengan menggunakan tekhnik sampel random sampling. Hasil pengamatan diketahui bahwa kode diagnosa utama yang akurat 71,7% dokumen rekam medis rawat inap, sedangkan untuk penulisan diagnosa utama yang spesifik 70,7% dokumen, dan akurasi kode penyakit pada diagnosis utama yang tidak spesifik sebanyak 72,42 % dokumen rekam medis rawat inap. Maka kesimpulan yang diperoleh yaitu, bahwa untuk mendapatkan akurasi kode penyakit, tidak hanya dipengaruhi oleh penulisan diagnosis utama yang spesifik saja tetapi dipengaruhi juga oleh ketelitian petugas koding serta factor-faktor lain yang mempengaruhi.oleh karena itu petugas koding sebaiknya aktif dalam mencari informasi jika menemukan diagnosis utama yang tidak spesifik serta perlu adanya peningkatan pengetahuan petugas koding dengan diikutkan dalam pelatihan koding ICD-10

Application of Principle Component Analysis in the Mapping of Hydrothermal Alteration Using Landsat 8 Image in Kokap, Kulon Progo

The presence of gold mineralization in Kokap, Kulon Progo as a result from hydrothermal alteration has been proven by several researchers through geochemical analysis. Alteration mapping with optical remote sensing images in the tropical areas is very difficult, due to atmospheric conditions, dense vegetation cover, and rapid weathering. This study aims to assess the ability of Landsat 8 images in mapping of hydrothermal alteration in Kokap, Kulon Progo with the Principles Component Analysis (PCA) method. Multispectral classification with the maximum likelihood algorithm is then performed to map the alteration types based on PC images and observation data in the field. Two alteration zones were succeeded be mapped; argillic zone and propylitic zone. The success of hydrothermal alteration mapping is then evaluated statistically using confusion matrix. The acceptable level of accuracy is 85% with a kappa coefficient greater than 0.8. The results showed that the best PCA were given by a combination of band ratio images of 5:2 and 6:7 with an accuracy of 56.4% and kappa coefficient of 0.36 which is below acceptance standard. The combination of Landsat 8 with ALOS Palsar DEM succeeded in increasing accuracy to 59.5% with kappa coefficient of 0.4

Application of Principle Component Analysis in the Mapping of Hydrothermal Alteration Using Landsat 8 Image in Kokap, Kulon Progo

The presence of gold mineralization in Kokap, Kulon Progo as a result from hydrothermal alteration has been proven by several researchers through geochemical analysis. Alteration mapping with optical remote sensing images in the tropical areas is very difficult, due to atmospheric conditions, dense vegetation cover, and rapid weathering. This study aims to assess the ability of Landsat 8 images in mapping of hydrothermal alteration in Kokap, Kulon Progo with the Principles Component Analysis (PCA) method. Multispectral classification with the maximum likelihood algorithm is then performed to map the alteration types based on PC images and observation data in the field. Two alteration zones were succeeded be mapped; argillic zone and propylitic zone. The success of hydrothermal alteration mapping is then evaluated statistically using confusion matrix. The acceptable level of accuracy is 85% with a kappa coefficient greater than 0.8. The results showed that the best PCA were given by a combination of band ratio images of 5:2 and 6:7 with an accuracy of 56.4% and kappa coefficient of 0.36 which is below acceptance standard. The combination of Landsat 8 with ALOS Palsar DEM succeeded in increasing accuracy to 59.5% with kappa coefficient of 0.4

Ekstraksi Informasi dari DEM untuk Pemetaan Struktur Geologi Studi Kasus di Daerah Kokap, Kulon Progo

Digital elevation model (DEM) data can be used as an input for interpreting geological structures, especially faults. This study aims to determine of extracting geological information from SRTM DEM for geological structure interpretation. Information such as shaded relief, lineament, slope, aspect, drainage network and curvature were used as input for the interpretation using the morphological approach which includes processes, materials, and structures. The vertical exaggeration and sun azimuth and altitude for relief illumination can be varied to obtain different images with different enhanced features. Lineaments can be automatically extracted from the shaded relief. The results showed that the combination of shaded relief, lineament, slope, aspect, drainage network and curvature can be a powerful tool for geological structure interpretation. In general, DEM data analysis can only determine indications of fault location, whereas the types and directions of faults cannot be interpreted