Ditemukan 21930 dokumen yang sesuai dengan query :: Simpan CSV
Ajeng P. Pramayu; Promotor: Fatma Lestari; Kopromotor: Besral, Dadan Erwandi; Penguji: Bambang Wispriyono, Hendra, Danang Insita Putra, Gama Widyaputra, Suparni
Abstrak:
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Posisi geografis Indonesia pada jalur Cincin Api Pasifik menimbulkan risiko bencana alam tinggi bagi sektor pertambangan batubara yang beroperasi di wilayah rawan. Sektor pertambangan batubara belum memiliki instrumen penilaian komprehensif untuk mengevaluasi Emergency Management Capability (EMC) yang terintegrasi dengan Sistem Manajemen Keselamatan Pertambangan (SMKP). Penelitian ini bertujuan mengembangkan instrumen EMC guna mengukur kesiapsiagaan organisasi terhadap potensi kondisi darurat seperti ledakan, longsor, dan banjir. Melalui desain mixed methods dengan pendekatan explanatory sequential, pengembangan instrumen ini merujuk pada Keputusan Direktur Jenderal Mineral dan Batubara Kementerian Energi dan Sumber Daya Mineral No. 185 (2019) dan No. 10 (2023), serta International Organization for Standardization (ISO) 22320:2018. Hasil penelitian menunjukkan bahwa EMC terdiri dari lima variabel, yaitu identifikasi dan penilaian potensi keadaan darurat, pencegahan, kesiapsiagaan, respons, dan pemulihan keadaan darurat. Instrumen terbukti valid dan reliabel. Pembobotan berbasis Confirmatory Factor Analysis (CFA) menunjukkan kesiapsiagaan keadaan darurat sebagai dimensi dominan (35%). Penelitian ini juga menghasilkan klasifikasi tingkat kapabilitas EMC ke dalam lima level, yaitu dasar, reaktif, terencana, proaktif, dan adaptif atau resilient. Selain itu, hasil pengukuran EMC dapat diintegrasikan ke dalam audit SMKP Minerba. Instrumen AJENG diharapkan dapat digunakan sebagai alat evaluasi untuk memetakan kesiapan organisasi, memperkuat mitigasi, dan meningkatkan pengelolaan kedaruratan pada pertambangan batubara.
Indonesia’s location along the Pacific Ring of Fire exposes coal mining operations to significant disaster risks. However, the sector lacks a comprehensive instrument for assessing Emergency Management Capability (EMC) that is integrated with the Mining Safety Management System (SMKP). This study aimed to develop an EMC assessment instrument to measure organizational preparedness for potential emergencies, including explosions, landslides, and flooding. A mixed-methods study using an explanatory sequential design was conducted. Instrument development was guided by the Decree of the Director General of Mineral and Coal No. 185 of 2019, No. 10 of 2023, and ISO 22320:2018. The results identified five EMC dimensions: emergency identification and risk assessment, prevention, preparedness, response, and recovery. The AJENG instrument demonstrated satisfactory validity and reliability. Confirmatory Factor Analysis (CFA) indicated that preparedness was the most influential dimension, accounting for 35% of the overall construct. The study also established five EMC capability levels: Basic, Reactive, Planned, Proactive, and Adaptive (Resilient). Furthermore, EMC assessment results can be integrated into the SMKP audit framework. The AJENG instrument is expected to support organizational preparedness assessment, strengthen risk mitigation, and enhance emergency management performance in the coal mining sector.
D-628
Depok : FKM-UI, 2026
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Bimo Prasetyo; Promotor: Fatma Lestari; Kopromotor: Robiana Modjo; Penguji: Adang Bachtiar, Besral, Dadan Erwandi, Suryo Hapsoro Tri Utomo; Akhmad Suraji
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Sektor konstruksi memiliki risiko kecelakaan kerja tinggi. Studi ini mengembangkan pengukuran sistem manajemen k3 konstruksi menggunakan kriteria sistem manajemen keselamatan konstruksi sesuai peraturan Permen PUPR No.10/2021, dapat digunakan dalam menilai keselamatan di industri konstruksi. Metodologi menggunakan pendekatan mixed-method exploratory design. Hasil studi menunjukkan bahwa perusahaan BUMN karya yang diobservasi menerapkan sistem manajemen keselamatan konstruksi berdasarkan peraturan yang berlaku dan dilaksanakan berbeda-beda sesuai visi misi perusahaan. Meskipun pengukuran belum dilakukan dengan aplikasi khusus, namun penelitian menunjukkan bahwa pengukuran dapat dilakukan melalui aplikasi yang dikembangkan. Faktor-faktor kompetensi, SOP, dan SMKK 10/21 ditemukan mempunyai pengaruh yang signifikan terhadap penerapan sistem manajemen keselamatan konstruksi.
This study focuses on developing a measurement for assessing the construction safety management system in the construction sector, known for its high risk of work accidents. The researchers used the criteria outlined in Permen PUPR No.10/2021 to evaluate safety in the industry. The study employed a mixed-method exploratory design approach. The findings indicate that state-owned construction companies adhere to the construction safety management system based on relevant regulations, albeit with variations depending on each company's vision and mission. While a specific application of the measurement has not been conducted, the study demonstrates that it is feasible to measure safety in construction through the developed tool. The study also identified competency, SOPs, and SMKK 10/21 as significant factors influencing the implementation of construction safety management systems
D-497
Depok : FKM-UI, 2024
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Lelitasari; Promotor: L. Meily Kurniawidjaja; Kopromotor: Sabarinah, Robiana Modjo; Penguji: Fatma Lestari, Purnawan Junadi, Lana Saria, Sudi Astono, Baiduri Widanarko
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Kelelahan dalam operasi tambang merupakan isu yang serius dan merupakan kontributor signifikan untuk terjadinya kecelakaan. Secara hukum perusahaan yang mengoperasikan tambang batubara harus mengembangkan dan mengimplementasikan strategi untuk mengendalikan setiap risiko keselamatan dan kesehatan yang berhubungan dengan kelelahan pada pekerja. Penelitian dilakukan untuk mengembangkan instrumen penilaian kinerja manajemen risiko kelelahan di perusahaan tambang batubara di Indonesia. Pendekatan studi merupakan gabungan antara pendekatan kualitatif untuk menemukan indikator kinerja dan kuantitatif untuk menguji validitas, reliabilitas dan kualitas instrumen penilaian kinerja manajemen risiko kelelahan di perusahaan tambang batubara. Sampel sebanyak 90 perusahaan tambang batubara yang ada di Indonesia. Penelitian menghasilkan instrumen penilaian kinerja manajemen risiko kelelahan di perusahaan tambang batubara yamg terdiri dari 31 indikator, dengan validitas dan reliabilitas instrumen sudah memenuhi persyaratan. Hasil analisis kurva ROC diperoleh cut off point 73 dan AUC 71,3% yang artinya skor kinerja MRK memiliki kekuatan prediksi sedang untuk terjadinya kecelakaan karena kelelahan. Ditemukan kinerja manajemen risiko kelelahan di perusahaan tambang batubara dengan kategori kurang baik 45,6% dan baik 54,4% Kategori kinerja manajemen risiko kelelahan berkategori kurang baik paling banyak terdapat pada perusahaan yang jumlah karyawannya Fatigue in mining operations is a serious issue and a significant contributor to accidents. According to the law, companies operating coal mines must develop and implement strategies to control any safety and health risks associated with worker fatigue. This research was conducted to develop an instrument for assessing the performance of fatigue risk management in coal mining companies in Indonesia. The study approach combines a qualitative approach to find performance indicators and a quantitative one to test the validity, reliability, and quality of fatigue risk management performance assessment instruments in coal mining companies. The sample is 90 coal mining companies in Indonesia. The study produced a tool for assessing the performance of fatigue risk management in coal mining companies consisting of 31 indicators, with the validity and reliability of the instrument meeting the requirements. The results of the ROC curve analysis obtained a cut off point of 73 and an AUC of 71.3%, which means that the Fatigue Risk Management performance score has moderate predictive power for accidents due to fatigue. It was found that the fatigue risk management performance in coal mining companies was in the poor category (45,6% and 54,4% good). From the type of company permits, the fatigue risk management performance category was in the good category, the most in companies with IUJP permit types 80% and the poor category the most in companies with Production Operation IUP permit types 73,7%. It was found that there was a relationship between fatigue risk management performance with the number of employees and the type of company permit. In order to measure, monitor, and evaluate the performance of fatigue risk management in coal mining companies, it is hoped that the Indonesian Ministry of Energy and Mineral Resources and Indonesian coal mining companies will implement the fatigue risk management performance evaluation tool.
D-472
Depok : FKM UI, 2022
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Agung Cahyono Triwibowo; Promotor: Fatma Lestari; Kopromotor: Mila Tejamaya, Sabarinah; Penguji: Robiana Modjo, Alfajri Ismail, Audist Subekti, Waluyo
Abstrak:
Management policy used when administering clinical emergency patients by Indonesia’s Public Safety Center (PSC) is regulated in Minister of Health Regulation No. 19 of the year 2016. Therefore, clinical emergency management assessment for Indonesia’s 119 PSCs is crucial for continous subsequent improvements. By reviewing literatures, conducting group discussions with experts from the PSCs and analyzing confirmatory factors, 8 variables with 28 valid and reliable indicators to assess the clinical emergency management of PSCs are found. The results of the validity and reliability test of confirmatory factor analysis were presented to 88 PSC responsdents. On all variables, namely aspects of policy, planning, emergency implementation, communication and rescue systems, emergency transportation systems, referral systems, management reviews and emergency services, it can be stated that the question items or indicators in each variable are valid and reliable with confirmatory factor analysis. All obstacles and challenges in implementing clinical emergency management in PSC will be an improvement and development of clinical emergency management. Keywords: assessment indicators; clinical emergency management; sustainable management development
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Kebijakan manajemen untuk pasien gawat darurat klinis yang dilaksanakan oleh Public Safety Center (PSC) Indonesia telah ditetapkan dengan peraturan Menteri Kesehatan RI No. 19 tahun 2016. Penilaian manajemen gawat darurat klinis untuk PSC 119 di Indonesia perlu dilakukan untuk perbaikan manajemen gawat darurat klinis secara berkelanjutan. Penulis telah menyusun indikator penilaian manajemen gawat darurat klinis melalui kajian literatur dan forum grup diskusi dengan diikuti tenaga ahli PSC di Indonesia. Dari kajian literatur dan forum grup diskusi serta dilakukan uji analisisanalisis faktor konfirmatori dengan data yang terkumpul dari responsden, diketahui 28 indikator penilaian yang valid dan reliable (dapat diandalkan) untuk manajemen gawat darurat klinis di PSC dan 8 variabel yang menjadi aspek penilaian manajemen gawat darurat klinis di PSC. Dalam tulisan ini disampaikan hasil uji validitas dan reliabilitas dari analisis faktor konfirmatori terhadap 88 responsden di PSC. Semua variable, yaitu aspek kebijakan, perencanaan, implementasi gawat darurat, sistem komunikasi dan pertolongan, sistem transportasi gawat darurat, sistem rujukan, tinjauan ulang manajemen, dan pelayanan gawat darurat dapat dinyatakan bahwa semua pertanyaan atau indikator dalam setiap variabel valid dan reliable dengan uji analisis faktor konfirmatori. Diketahui bahwa terdapat hambatan dan tantangan pada pelaksanaan manajemen gawat darurat klinis di PSC berdasarkan data nasional. Hasil penelitian ini dapat menjadi masukan untuk pengembangan manajemen gawat darurat klinis secara berkelanjutan. Kata kunci: indikator penilaian; manajemen gawat darurat klinis; pengembangan manajemen berkelanjutan
Management policy used when administering clinical emergency patients by Indonesia’s Public Safety Center (PSC) is regulated in Minister of Health Regulation No. 19 of the year 2016. Therefore, clinical emergency management assessment for Indonesia’s 119 PSCs is crucial for continous subsequent improvements. By reviewing literatures, conducting group discussions with experts from the PSCs and analyzing confirmatory factors, 8 variables with 28 valid and reliable indicators to assess the clinical emergency management of PSCs are found. The results of the validity and reliability test of confirmatory factor analysis were presented to 88 PSC responsdents. On all variables, namely aspects of policy, planning, emergency implementation, communication and rescue systems, emergency transportation systems, referral systems, management reviews and emergency services, it can be stated that the question items or indicators in each variable are valid and reliable with confirmatory factor analysis. All obstacles and challenges in implementing clinical emergency management in PSC will be an improvement and development of clinical emergency management. Keywords: assessment indicators; clinical emergency management; sustainable management development
D-619
Depok : FKM-UI, 2022
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Peristiwanto Adiyono Kodrat Pramudho; Promotor: Purnawan Junadi; Ko-Promotor: Azrul Azwar, Adang Bachtiar; Penguji: Sudijanto Kamso, Soekidjo Notoatmodjo, Triono Sundoro, Trihono, Minarto
D-226
Depok : FKM UI, 2009
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Setya Haksama; Promotor: Amal C. Syaaf, ; Ko-Promotor: Purnawan Junadi, Adang Bachtiar; Penguji: Anhari Achadi, Sudarti Kresno, Dian Ayubi, Boy Subirosa Sabarguna, Delina Hasan
D-250
Depok : FKM UI, 2011
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Meilisa Rahmadani; Promotor: Robiana Modjo; Kopromotor: L. Meily Kurniawidjaja; Penguji: Adang Bachtiar, Besral, Fatma Lestari, Indri Hapsari Susilowati, Ali Ghufron Mukti, Sutoto, Astrid B. Sulistomo
Abstrak:
Kelelahan kerja berdampak besar terhadap kinerja, keselamatan, dan kesehatan tenaga kesehatan rumah sakit. Penelitian ini mengembangkan model sistem manajemen risiko kelelahan berbasis pendekatan kualitatif dan kuantitatif melalui studi literatur, FGD, wawancara, dan observasi. Hasilnya adalah model ICHAFIT (Integrated Collaboration Healthcare Adaptability for Fatigue Intervention and Tracking) dengan lima elemen utama dan strategi pencegahan berbasis data. Terdapat 24 indikator valid dan reliabel untuk menilai implementasinya. Model ini berfungsi sebagai kerangka konseptual dan alat praktis, serta menghasilkan policy brief untuk advokasi kebijakan nasional.
Work fatigue significantly affects hospital workers' performance, safety, and health. This study developed a fatigue risk management model using qualitative and quantitative approaches through literature review, FGD, interviews, and observations. The result is the ICHAFIT model (Integrated Collaboration Healthcare Adaptability for Fatigue Intervention and Tracking) comprising five key elements and a data-driven prevention strategy). It includes 24 valid and reliable indicators to assess implementation. ICHAFIT serves as both a conceptual framework and practical tool, and also produced a policy brief to support national advocacy for fatigue risk management in hospitals.
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Work fatigue significantly affects hospital workers' performance, safety, and health. This study developed a fatigue risk management model using qualitative and quantitative approaches through literature review, FGD, interviews, and observations. The result is the ICHAFIT model (Integrated Collaboration Healthcare Adaptability for Fatigue Intervention and Tracking) comprising five key elements and a data-driven prevention strategy). It includes 24 valid and reliable indicators to assess implementation. ICHAFIT serves as both a conceptual framework and practical tool, and also produced a policy brief to support national advocacy for fatigue risk management in hospitals.
D-591
Depok : FKM-UI, 2025
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Rico Kurniawan; Promotor: Budi Utomo; Kopromotor: Kemal Nazaruddin Siregar, Kalamullah Ramli; Penguji: Anhari Achadi, Besral, Tris Eryando, Soewarta Kosen; Ruddy J. Suhatril
Abstrak:
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Penelitian ini berfokus pada deteksi dini hipertensi untuk mengurangi risiko penyakit kardiovaskular. Menggunakan data Indonesia Family Life Survey, penelitian ini mengidentifikasi faktor seperti umur, gender, indeks massa tubuh, aktivitas fisik, dan denyut nadi sebagai prediktor utama hipertensi. Analisis menggunakan regresi panel multivariable dengan model fixed effect dan random effect menentukan variabel signifikan dalam variabilitas tekanan darah. Model Markov Multi Status digunakan untuk menghitung probabilitas perubahan status tekanan darah. Hasil menunjukkan bahwa model machine learning dengan algoritma regresi logistik efektif dalam mengklasifikasi hipertensi di Indonesia, ditunjukkan dengan nilai Area Under Curve (0.751 untuk pria dan 0.794 untuk wanita) dan Complete Accuracy yang tinggi (0.780 untuk pria dan 0.798 untuk wanita).. Model ini menggunakan prediktor non-invasif yang mudah diukur, dan algoritma regresi linier menunjukkan kinerja yang baik untuk data kontinu. Studi ini juga mengungkapkan probabilitas transisi tekanan darah dari normal ke hipertensi, pre hipertensi menjadi normal atau hipertensi, dan kemungkinan individu hipertensi untuk tetap dalam kondisi tersebut atau berubah status.Kesimpulan dari penelitian adalah metode deteksi ini efisien untuk lingkungan dengan sumber daya terbatas dan dapat diintegrasikan dalam program kesehatan masyarakat. Faktor sosiodemografi dan antropometri efektif sebagai estimator dalam prediksi status hipertensi.
This study focuses on early detection of hypertension to reduce cardiovascular disease risks. Utilizing data from the Indonesia Family Life Survey, it identifies key predictors of hypertension such as age, gender, body mass index, physical activity, and pulse rate. Multivariable panel regression analysis employing both fixed effect and random effect models was conducted to determine significant variables influencing blood pressure variability. A Markov Multi Status model was used to calculate the probabilities of transitioning between different blood pressure statuses. The results demonstrate that the machine learning model, employing logistic regression algorithms, is effective in classifying hypertension in Indonesia, evidenced by high Area Under Curve and Complete Accuracy values. This model utilizes easily measurable, non-invasive predictors. Moreover, the linear regression algorithm showed superior performance for continuous data. The study also reveals the probabilities of transitioning from normal to hypertensive states, from pre-hypertension to normal or hypertension, and the likelihood of individuals with hypertension maintaining or changing their status. In conclusion, this detection method is efficient for resource-limited environments and can be integrated into broader public health programs. Socio-demographic and anthropometric factors are effective as estimators in predicting hypertension status.
D-495
Depok : FKM-UI, 2024
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Adenan; Promotor: Zulkifli Djunaidi; Kopromotor: Fatma Lestari, Sutanto Priyo Hastono; Penguji: Budi Hartono, L. Meily Kurniawidjaja, Herlina J. EL- Matury, Kusnendi Soehardjo, Suparni
Abstrak:
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Keselamatan kerja pada jalur hauling di industri pertambangan batubara merupakan aspek penting yang memerlukan perhatian serius, mengingat tingginya risiko kecelakaan kerja pada aktivitas pengangkutan material. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi kecelakaan kerja dan menyusun model pencegahan berbasis Human Factor Analysis and Classification System for Mining Industry (HFACS-MI) serta metode investigasi Australian Transport Safety Bureau (ATSB). Pendekatan campuran digunakan dalam penelitian ini, dengan data kuantitatif diperoleh melalui survei terhadap 420 operator dump truck di tiga perusahaan tambang terbuka di Kalimantan, serta data kualitatif dari wawancara mendalam, Focus Group Discussion (FGD), dan observasi langsung di lapangan. Analisis regresi linier berganda digunakan untuk menguji pengaruh enam variabel independen faktor eksternal, pengaruh organisasi, kepemimpinan tidak berkeselamatan, pengendalian risiko, kondisi lingkungan, dan tindakan individu terhadap kecelakaan. Hasil penelitian menunjukkan bahwa seluruh variabel memiliki pengaruh signifikan, dengan kepemimpinan tidak berkeselamatan dan kondisi lingkungan sebagai faktor dominan penyebab kecelakaan. Temuan ini mengindikasikan perlunya penguatan pengawasan, perbaikan perilaku kerja operator, serta peningkatan kualitas jalur hauling. Model pencegahan yang diusulkan menitikberatkan pada penguatan kepemimpinan, pengendalian risiko, dan perawatan infrastruktur hauling secara berkelanjutan untuk menurunkan angka kecelakaan kerja di sektor pertambangan.
Occupational safety in hauling roads within the coal mining industry is a critical aspect that requires serious attention, considering the high risk of work accidents during material transportation activities. This study aims to analyze the factors influencing occupational accidents and to develop a preventive model based on the Human Factor Analysis and Classification System for Mining Industry (HFACS-MI) and the Australian Transport Safety Bureau (ATSB) investigation method. A mixed-method approach was used, with quantitative data collected through a survey of 420 dump truck operators across three open-pit mining companies in Kalimantan, and qualitative data gathered from in-depth interviews, focus group discussions (FGDs), and direct field observations. Multiple linear regression analysis was employed to assess the influence of six independent variables external factors, organizational influence, unsafe leadership, risk control, environmental conditions, and individual actions on work accidents. The results indicated that all variables had a significant effect, with unsafe leadership and environmental conditions emerging as the dominant contributing factors. These findings highlight the need to strengthen supervision, improve operator behavior, and enhance the quality of hauling road infrastructure. The proposed accident prevention model emphasizes the reinforcement of leadership roles, risk control management, and continuous improvement of hauling infrastructure to reduce the incidence of occupational accidents in the mining sector.
D-589
Depok : FKM-UI, 2025
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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Dewita Restati; Pembimbing: Amal Chalik Syaaf, Purnawan Junadi, Laksono Trisnantoro; Penguji: Hasbullah Thabrany, Adang Bachtiar, Hendrik M. Taurany, Agus Suwandono, Suprijanto Rijadi
D-109
Depok : FKM-UI, 2005
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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