The purpose of this research is to analyze fire risk level on the hospital in Ponorogo. Hospital is a community health service instantion should be kept away from fire disaster since many of the patients are vulnerable to become the victim. This research is descriptive – analytic with semi-quantitative approach. The scope involves 27 service units on Ponorogo Regional Hospital. Fire risk is analyzed by proportioning and scoring method of hazard, vulnerability and capacity identification result. The research results indicate 18.5% service unit of Ponorogo Regional Hospital has high fire risk. 59.3% medium risk, and 22.2% low risk. The existance of service unit with high fire risk is caused by hazard potential that does not well managed and fire protection systems that do not comply with the standard. The research result is expected to be used as reference in fire protection system improvement on Ponorogo Regional Hospital so that the fire risk can be minimalized.
Referred to data of Badan Nasional Penanggulangan Bencana (BNPB) and Kementerian Kesehatan Republik Indonesia (Kemenkes RI), almost landslide occurrence in Ponorogo always starts with high-intensity rain. This research aimed to determine simultaneously correlation and partial assessment impact of rainy days every month and monthly rainfall toward landslide occurrence in Ponorogo using logistic regression. The data collection was conducted through Badan Pusat Statistik (BPS) in the book of Ponorogo Regency in Figure on 2012 to 2016. The existing data shows that in sixty months have been twenty-six times landslides occurrence in Ponorogo districts. The data statistically analyzed in simultaneous proves that contribution of rainy days and rainfall to landslide were included adequate correlation (Nagelkerke R Square = 25.4 % and Cox & Snell R Square = 36.9 %) and in partial test proves that rainy days have significant impact (sig. = 0.024) and rainfall does not significant impact (sig. = 0.291) (α = 0.05) to landslide occurrence in Ponorogo regency. The rainy days per month were abled applied to predict for possible landslide elsewhere. Keywords: rainy days, rainfall, landslide, Ponorogo, logistic regression References Aditian, A., Kubota, T., & Shinohara, Y. (2018). Geomorphology Comparison of GIS-based landslide susceptibility models using frequency ratio , logistic regression , and arti fi cial neural network in a tertiary region of Ambon , Indonesia. Geomorphology Journal, 318, 101–111. https://doi.org/10.1016/j.geomorph.2018.06.006 Agresti, A. (1996). An Introduction to Categorical Data Analysis. Wiley. https://doi.org/10.1002/0470114754 Amri, M. R., Yulianti, G., Yunus, R., Wiguna, S., Adi, A. W., Ichwana, A. N., … Septian, R. T. (2016). Risiko Bencana Indonesia. Jakarta: Badan Nasional Penanggulangan Bencana. Badan Nasional Penanggulangan Bencana. (2018). Data Pantauan Bencana. Retrieved June 21, 2018, from http://geospasial.bnpb.go.id/pantauanbencana/data/index.php Badan Perencanaan Pembangunan Daerah Ponorogo. (2013). Pembangunan Ponorogo Dalam Angka 2013. Ponorogo. Retrieved from https://ponorogokab.bps.go.id/publication/ Badan Perencanaan Pembangunan Daerah Ponorogo. (2014). Pembangunan Ponorogo Dalam Angka 2014. Ponorogo. Retrieved from https://ponorogokab.bps.go.id/publication Badan Pusat Statistik Kabupaten Ponorogo. (2015a). Ponorogo Dalam angka 2015. Ponorogo. Retrieved from https://ponorogokab.bps.go.id/publication Badan Pusat Statistik Kabupaten Ponorogo. (2015b). Ponorogo Dalam angka 2017. Ponorogo. Retrieved from https://ponorogokab.bps.go.id/publication Badan Pusat Statistik Kabupaten Ponorogo. (2016). Ponorogo Dalam angka 2016. Ponorogo. Retrieved from https://ponorogokab.bps.go.id/publication Chuang, Y. C., & Shiu, Y. S. (2018). Relationship between landslides and mountain development—Integrating geospatial statistics and a new long-term database. Science of the Total Environment Journal, 622–623, 1265–1276. https://doi.org/10.1016/j.scitotenv.2017.12.039 Chuang, Y., & Shiu, Y. (2018). Science of the Total Environment Relationship between landslides and mountain development — Integrating geospatial statistics and a new long-term database. Science of the Total Environment Journal, 622–623, 1265–1276. https://doi.org/10.1016/j.scitotenv.2017.12.039 Departemen Pekerjaan Umum. Pedoman Penataan Ruang Kawasan Rawan Bencana Longsor, Pub. L. No. 22 /PRT/M/2007, 148 (2007). Indonesia: Menteri Pekerjaan Umum Republik Indonesia. Retrieved from landspatial.bappenas.go.id/komponen/peraturan/the_file/permen22_2007.pdf%0A Hosmer, D. W., & Lemeshow, S. (2005). Multiple Logistic Regression. In Applied Logistic Regression (pp. 31–46). Hoboken, NJ, USA: John Wiley & Sons, Inc. https://doi.org/10.1002/0471722146.ch2 Kementerian Kesehatan Republik Indonesia. (2018). Pusat Krisis Kesehatan Kementerian Kesehatan Republik Indonesia. Retrieved June 11, 2018, from http://pusatkrisis.kemkes.go.id/ Lin, G., Chang, M., Huang, Y., & Ho, J. (2017). Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear output map , support vector machine , and logistic regression. Engineering Geology Journal, 224(May), 62–74. https://doi.org/10.1016/j.enggeo.2017.05.009 Logar, J., Turk, G., Marsden, P., & Ambrožič, T. (2017). Prediction of rainfall induced landslide movements by artificial neural networks. Journal of Natural Hazards and Earth System Sciences Discussions, (July), 1–18. https://doi.org/10.5194/nhess-2017-253 Paimin, Sukresno, & Pramono, I. B. (2009). Teknik Mitigasi Banjir dan Tanah Longsor. (A. N. Ginting, Ed.). Balikpapan: Tropenbos International Indonesia Programme. Retrieved from www.tropenbos.org Pourghasemi, H. R., & Rahmati, O. (2018). Prediction of the landslide susceptibility: Which algorithm, which precision? Catena Journal, 162(November), 177–192. https://doi.org/10.1016/j.catena.2017.11.022 Reed, P., & Wu, Y. (2013). Journal of Fluency Disorders Logistic regression for risk factor modelling in stuttering research ଝ. Journal of Fluency Disorders, 38(2), 88–101. https://doi.org/10.1016/j.jfludis.2012.09.003 Ubechu, B. O., & Okeke, O. . (2017). Landslide: Causes, Effects and Control. International Journal of Current Multidisciplinary Studies, 3(03), 647–663. Yuniarta, H., Saido, A. P., & Purwana, Y. M. (2015). Kerawanan Bencana Tanah Longsor Kabupaten Ponorogo. 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Kebakaran adalah risiko yang sering terjadi pada industri pengolahan minyak dan gas seperti PT Pertamina EP Asset 4 Field Sukowati. Manajemen risiko kebakaran penting dilakukan untuk mencegah timbulnya kerugian yang besar jika terjadi kebakaran. Penelitian ini bertujuan untuk mendeskripsikan manajemen risiko kebakaran pada PT Pertamina EP Asset 4 Field Sukowati. Diharapkan penelitian ini dapat bermanfaat menjadi rujukan evaluasi perusahaan untuk meningkatkan performa manajemen risiko kebakaran. Penelitian ini tergolong dalam penelitian deskriptif observasional dengan metode pengumpulan data purposive sampling. Analisis penelitian menggunakan acuan Risk Management AS/NZS 4360 : 2004. Hasil penelitian menunjukkan bahwa risiko kebakaran di PT Pertamina EP Aset 4 Field Sukowati berdasarkan tahapan pekerjaannya bervariasi dari rendah, sedang hingga tinggi. Sistem proteksi kebakaran di PT Pertamina EP Aset 4 Field Sukowati secara umum menunjukkan kondisi yang baik dan termonitor dengan baik. Organisasi dan perencanaan tanggap darurat kebakaran juga telah memadai. Sayangnya, simulasi tanggap darurat kebakaran belum terlaksana secara reguler, sehingga evaluasi keberhasilan program manajemen risiko kebakaran sulit diukur. Hal yang menjadi rekomendasi dalam penelitian ini adalah adanya pengukuran kesiapsiagaan pekerja sebagai follow up pelaksanaaan simulasi tanggap darurat kebakaran. Hal ini karena kesiapsiagaan pekerja yang tinggi merupakan kunci terlaksananya manajemen risiko kebakaran yang baik.
Penerapan program Ringkas, Rapi, Resik, Rawat, dan Rajin (5R) pada industri kecil menengah di Ponorogo masih sangat rendah. Hal ini dikarenakan minimnya pemahaman pemilik industri dan pekerja mengenai pentingnya penerapan program 5R. Salah satu industri kecil menengah di Kota Ponorogo adalah Pabrik Roti La-Tansa Gontor. Berdasarkan observasi awal, dalam proses produksi di Pabrik Roti La-Tansa diketahui bahwa perilaku 5R pekerja masih sangat kurang sehingga mempengaruhi jalannya proses produksi dan kualitas produk. Menurut beberapa penelitian, perilaku 5R pekerja berhubungan dengan beberapa faktor terutama pengetahuan dan sikap. Penelitian ini bertujuan untuk menganalisis hubungan faktor pengetahuan dan sikap dengan perilaku 5R pekerja di Pabrik Roti La-Tansa. Penelitian ini merupakan penelitian observasional analitik dengan desain cross-sectional. Subyek penelitian berjumlah 12 orang. Instrumen pengukuran dan penilaian pengetahuan, sikap dan perilaku 5R pekerja menggunakan kuesioner dan checklist. Analisis data menggunakan uji chi-square dalam program SPSS versi 24. Hasil uji statistik menunjukkan bahwa tidak ada hubungan antara pengetahuan dan sikap dengan perilaku 5R pekerja dengan nilai untuk sikap P-value (Sig) sebesar 1,000 (P-value > 0.05) dan nilai untuk pengetahuan P-value (Sig) sebesar 1,000 (P-value > 0.05). Dengan demikian dapat disimpulkan bahwa tidak ada hubungan antara pengetahuan dan sikap dengan perilaku 5R pekerja di Pabrik Roti La-Tansa.
Background: Cultural conditions K3 in the industry Small Medium Enterprises (SME) craftsmen of traditional musical instruments is low only use 2 personal protective equipment that is protective mask and gloves. The condition can lead to accidents then exerts dissemination of the importance of personal protective equipment in order to minimize accidents. Purpose: This study aimed to determine the correlation between the socialisation of the importance of personal protective equipment (PPE) and the OSH behavior (knowledge and attitude toward the importance of PPE. Method: This was a quantitative research with Experimental approach. Craftsmen working population was taken as a respondent (24 workers). Data was taken by using a questionnaire and checklist. Related Data analysis used T-Test. Results: The results of this study scores showed the value of p = 0.00 (p <0.05), which means that there were significant changes between the socialization of personal protective equipment and behavioral changes K3 workers craftsmen of traditional musical instruments industry in Paju District of Ponorogo. Further research is needed to study the behavior of K3 in the industry small medium enterprises on the other with the number of more samples and compare it to other industry small medium enterprises as well as a variable that has not been studied. Conclusion: Socialization of personal protective equipment can boost of knowledge and attitude for the workers to always use personal protective equipment in each work.
Indonesia is a country with a record of accidents is quite high. The cause of high numbers is the implementation and supervision of OHS. Safety behavior is a safe working behavior of potential hazards. The factors that make up safety behavior are work experience, belief, knowledge, and attitude.The purpose of this research is to know the correlation between knowledge and attitudes toward safety behavior is carried out on the worker of lecturer residential development project of University X Ponorogo from June to August 2017. This research is a descriptive research with quantitative approach. Method is a cross sectional study. The sample of this study amounted to 50 people with the technique of determining the total sampling. The results showed that there was a significant correlation between work experience with knowledge in construction worker of University X. As well as the belief in the fate of the worker with the knowledge. There is a significant relationship between work experience and worker attitude. As well as a significant relationship between the belief in the fate of the workers and the safety attitude to the construction worker of University X. However, there is no significant correlation between knowledge and safety attitude with safety behavior in construction worker of University X, because there is no enabling factor in the form of worker support facility to carry out safety behavior in their workplace. Abstrak Indonesia adalah negara dengan catatan kecelakaan yang cukup tinggi. Penyebab tingginya angka tersebut adalah pelaksanaan dan pengawasan K3. Perilaku keselamatan adalah perilaku kerja yang aman dari potensi bahaya. Faktor-faktor yang membentuk perilaku keselamatan adalah pengalaman kerja, kepercayaan, pengetahuan, dan sikap. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara pengetahuan dan sikap terhadap perilaku keselamatan yang dilakukan terhadap pekerja proyek pengembangan hunian dosen Universitas X Ponorogo dari bulan Juni sampai Agustus 2017. Penelitian ini merupakan penelitian deskriptif dengan pendekatan kuantitatif. Metode penelitian adalah cross sectional. Sampel penelitian ini berjumlah 50 orang dengan teknik penentuan total sampling. Hasil penelitian menunjukkan bahwa ada hubungan yang signifikan antara pengalaman kerja dengan pengetahuan pekerja konstruksi Universitas X. Serta kepercayaan terhadap nasib pekerja dengan pengetahuan. Ada hubungan yang signifikan antara pengalaman kerja dan sikap pekerja. Serta hubungan yang signifikan antara kepercayaan terhadap nasib pekerja dan sikap keselamatan pekerja konstruksi Universitas X. Namun, tidak ada hubungan yang signifikan antara pengetahuan dan sikap keselamatan dengan perilaku keselamatan pada pekerja bangunan Universitas X, karena tidak ada faktor pemungkin dalam bentuk fasilitas pendukung pekerja untuk melakukan perilaku keselamatan di tempat kerja mereka.
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