Ditemukan 12 dokumen yang sesuai dengan query :: Simpan CSV
Sinar Kesehatan, edisi Mei /II/2008, hal: 23-24
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Indeks Artikel Jurnal-Majalah Pusat Informasi Kesehatan Masyarakat
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Farhan; Pembimbing: Afriansyah, Eddy
M-1550
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D3 - Laporan Magang Pusat Informasi Kesehatan Masyarakat
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Farhan; Pembimbing: Hafizurrachman; Penguji: Amila Megraini, Yudha W. Waspada
S-4251
Depok : FKM UI, 2005
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Farhan Adrian; Pembimbing: Ririn Arminsih Wulandari; Penguji: Al Asyary, Didik Supriyono
Abstrak:
Demam berdarah dengue (DBD) adalah penyakit yang seringkali melanda Indonesia dan disebabkan oleh virus dengue dari nyamuk Aedes aegypti yang terinfeksi. Iklim merupakan salah satu faktor yang diketahui dapat mempengaruhi kejadian DBD. Selama tahun 2014-2020, Kabupaten Bogor menjadi wilayah dengan jumlah kasus meninggal akibat DBD tertinggi di Jawa Barat. Penelitian ini bertujuan untuk menganalisis faktor-faktor iklim dengan kejadian DBD di Kabupaten Bogor pada tahun 2017-2021 dengan desain studi ekologi. Hasil penelitian dengan uji korelasi Spearman menunjukkan bahwa faktor kelembaban (r=0,351; p=0,006) dan curah hujan (r=0,258; p=0,046) memiliki hubungan berkekuatan sedang dengan kejadian DBD, sedangkan suhu tidak memiliki hubungan yang signifikan dengan kejadian DBD (p>0,05).
Dengue haemorrhagic fever (DHF) is a disease that frequently affects Indonesia and caused by the dengue virus from infected Aedes aegypti mosquitoes. Climatic factors are known to affect DHF incidence. In 2014-2020, Bogor Regency became the region with the highest DHF deaths in West Java. This study aims to analyze several climatic factors with DHF incidence in Bogor Regency in 2017-2021 using an ecological study design. Using Spearman?s rank correlation coefficient, the results indicate that humidity (r=0,351; p=0,006) and rainfall (r=0,258; p=0,046) have a moderate effect on DHF incidence, while temperature has no effect on DHF incidence (p>0,05).
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Dengue haemorrhagic fever (DHF) is a disease that frequently affects Indonesia and caused by the dengue virus from infected Aedes aegypti mosquitoes. Climatic factors are known to affect DHF incidence. In 2014-2020, Bogor Regency became the region with the highest DHF deaths in West Java. This study aims to analyze several climatic factors with DHF incidence in Bogor Regency in 2017-2021 using an ecological study design. Using Spearman?s rank correlation coefficient, the results indicate that humidity (r=0,351; p=0,006) and rainfall (r=0,258; p=0,046) have a moderate effect on DHF incidence, while temperature has no effect on DHF incidence (p>0,05).
S-11130
Depok : FKM-UI, 2022
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Muhammad Farhan Dwi Yulianto; Pembimbing: Helda; Penguji: Tri Yunis Miko Wahyono, Rindu Rachmiaty
Abstrak:
Stroke merupakan salah satu penyakit tidak menular yang menjadi masalah kesehatan masyarakat di dunia termasuk di Indonesia. Sekumpulan faktor risiko yang dapat berinteraksi bersama yang terdiri dari obesitas sentral, kadar trigliserida tinggi, kadar kolesterol HDL rendah, kadar GDP tinggi, dan hipertensi dikenal dengan istilah sindrom metabolik (IDF, 2006). Seseorang yang mengalami sindrom metabolik mempunyai peluang 3 kali untuk mengalami serangan jantung dan stroke (IDF, 2006). Sementara, menurut IDF (2006) diestimasi bahwa 20-25% penduduk dewasa di dunia mengalami sindrom metabolik. Penelitian ini bertujuan untuk mengetahui hubungan antara sindrom metabolik dengan kejadian stroke pada penduduk berusia ≥ 15 tahun di Indonesia setelah dikontrol oleh variabel kovariat. Desain studi penelitian yaitu potong lintang (cross sectional) dengan menggunakan data Riskesdas 2018. Sampel penelitian yang memenuhi kriteria inklusi dan eksklusi diperoleh sebesar 24.451 responden. Berdasarkan hasil analisis, diperoleh proporsi stroke berdasarkan diagnosis dokter sebesar 1,2%. Proporsi sindrom metabolik diperoleh sebesar 24,4%. Terdapat hubungan yang signifikan antara sindrom metabolik dengan kejadian stroke dengan nilai p sebesar 0,001 dengan POR sebesar 2,370 (95% CI: 1,872-3,001), artinya responden yang mengalami sindrom metabolik mempunyai odds atau peluang 2,370 kali lebih tinggi untuk mengalami stroke dibandingkan responden yang tidak mengalami sindrom metabolik. Hasil analisis multivariat diperoleh hubungan yang signifikan antara sindrom metabolik dengan kejadian stroke (nilai p = 0,000) dengan aPOR sebesar 2,415 (95% CI: 1,883-3,099) dan diperoleh adanya variabel confounding yaitu variabel jenis kelamin dan usia. Sindrom metabolik dapat menjadi faktor yang penting untuk diperhatikan dalam upaya pencegahan dan pengendalian stroke di Indonesia.
Kata Kunci: Sindrom Metabolik, Stroke, Riskesdas 2018
Stroke is a non-communicable disease that becomes one of public health problems in the world, including in Indonesia. A group of risk factors that can be interacted together including central obesity, high triglyceride levels, low HDL levels, high GDP levels, and hypertension are known as metabolic metabolism (IDF, 2006). The person who has metabolic syndrome has a chance 3 times to have heart attacks and strokes (IDF, 2006). Meanwhile, according to IDF (2006) it is estimated that 20-25% of the adult population in the world having metabolic syndrome. This research aims to study the relationship between metabolic syndrome and stroke event in population aged ≥ 15 years old in Indonesia after being controlled by covariate variables. The design study of this research is cross sectional using data from Riskesdas 2018. The sample of this research that met the inclusion and exclusion criteria was 24,451 respondents. Based on the result of the analysis, the proportion of strokes based on the doctor's diagnosis is 1.2%. The proportion of metabolic syndrome obtained is 24.4%. There is a significant relationship between metabolic syndrome and the stroke event with a p value of 0.001 with a POR of 2.370 (95% CI: 1.8872,001), which means that respondents with metabolic syndrome has a chance or odds 2.370 times higher for stroke compared to respondents without metabolic syndrome. The results of multivariate analysis obtained a significant relationship between metabolic syndrome and stroke event (p = 0,000) with aPOR of 2,415 (95% CI: 1,883- 3,099) and obtained confounding variables such as gender and age. Metabolic syndrome can be an important factor to consider in efforts to prevent and control stroke event in Indonesia.
Keywords: Metabolic Syndrome, Stroke, Riskesdas 2018
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Kata Kunci: Sindrom Metabolik, Stroke, Riskesdas 2018
Stroke is a non-communicable disease that becomes one of public health problems in the world, including in Indonesia. A group of risk factors that can be interacted together including central obesity, high triglyceride levels, low HDL levels, high GDP levels, and hypertension are known as metabolic metabolism (IDF, 2006). The person who has metabolic syndrome has a chance 3 times to have heart attacks and strokes (IDF, 2006). Meanwhile, according to IDF (2006) it is estimated that 20-25% of the adult population in the world having metabolic syndrome. This research aims to study the relationship between metabolic syndrome and stroke event in population aged ≥ 15 years old in Indonesia after being controlled by covariate variables. The design study of this research is cross sectional using data from Riskesdas 2018. The sample of this research that met the inclusion and exclusion criteria was 24,451 respondents. Based on the result of the analysis, the proportion of strokes based on the doctor's diagnosis is 1.2%. The proportion of metabolic syndrome obtained is 24.4%. There is a significant relationship between metabolic syndrome and the stroke event with a p value of 0.001 with a POR of 2.370 (95% CI: 1.8872,001), which means that respondents with metabolic syndrome has a chance or odds 2.370 times higher for stroke compared to respondents without metabolic syndrome. The results of multivariate analysis obtained a significant relationship between metabolic syndrome and stroke event (p = 0,000) with aPOR of 2,415 (95% CI: 1,883- 3,099) and obtained confounding variables such as gender and age. Metabolic syndrome can be an important factor to consider in efforts to prevent and control stroke event in Indonesia.
Keywords: Metabolic Syndrome, Stroke, Riskesdas 2018
S-10417
Depok : FKM UI, 2020
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Irsyad Farhan Africky; Pembimbing: Laila Fitria; Penguji: Budi Hartono, Didik Supriyono
Abstrak:
Penelitian ini bertujuan untuk menganalisis faktor-faktor yang berhubungan dengan kejadian pneumonia pada balita di Kabupaten Bogor pada tahun 2015-2019, seperti cakupan rumah sehat, jumlah penduduk, kepadatan penduduk, suhu, kelembaban, dan curah hujan baik secara statistic dan juga spasial. Penelitian ini menggunakan desain studi ekologi kombinasi atau mix design yang terdiri atas analisis time trend dan juga analisis spasial dengan populasi pada penelitian ini adalah seluruh kecamatan yang berada di wilayah Kabupaten Bogor yang berjumlah 40 kecamatan.
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S-10621
Depok : FKM UI, 2021
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Deo Farhan; Pembimbing: Vetty Yulianty Permanasari; Penguji: Pujiyanto, Wilda Alvernia Lumban Gaol
Abstrak:
Sejak awal pelaksanaan Jaminan Kesehatan Nasional, banyak sekali permasalahan yang timbul. Permasalah yang banyak menyita perhatian beberapa pihak terkait penyelenggaraan JKN adalah mengenai sistem tarif INA-CBGs. Sistem INA-CBGs diterapkan agar ada standar pengelompokan tarif RS yang akan dibayarkan oleh BPJS Kesehatan dan mendorong efisiensi tanpa mengurangi mutu pelayanan. Terjadinya selisih negatif di beberapa kasus pada penggunaan sistem INA-CBGs membuat RS harus lebih pintar dalam mengelola biaya. Maka guna mencapai standar pengelompokan biaya dalam sistem INA-CBGs yang sesuai, ada beberapa faktor yang harus dikaji ulang dalam pembuatan sistem tersebut, seperti lama perawatan, tingkat perawatan, pemakaian obat, diagnosa maupun jenis RS. Tujuan penelitian ini adalah mengetahui analisa perbedaan biaya riil dengan INA-CBGs pada perawatan pasien rumah sakit di Indonesia. Penelitian ini menggunakan metode literature review yang menggunakan data sekunder dari pencarian online yaitu google scholar, Neliti, dan GARUDA. Hasil pencarian literatur yang masuk dalam karakteristik inklusi berjumlah 8 artikel dari tahun 2013-2021 yang membahas perbandingan tarif riil RS dengan INA-CBGs yang didalamnya terdapat faktor-faktor pemungkin adanya selilih tarif. Hasil Penelitian didapatkan faktor kelas perawatan, lama perawatan, tingkat perawatan, diagnosa, jenis perawatan, pemakaian obat, clinical pathway, dan jenis RS. Kesimpulan yang didapatkan adalah beberapa faktor menunjukan signifikan berpengaruh, lama perawatan dan clinical pathway menjadi masalah utama meningkatnya biaya dan mengakibatkan adanya selisih negatif yang merugikan RS. Rekomendasi yang diberikan adalah dengan memperbaiki clinical pathway yang berjalan di RS dan juga mengkaji ulang pembentukan tarif INA-CBGs dilihat dari rata-rata lama perawatan di RS, sehingga INA-CBGs tidak lagi dibawah tarif RS.
Since the beginning of the implementation of the National Health Insurance, many problems have arisen. The problem that has attracted the attention of several parties regarding the implementation of JKN is the INA-CBGs tariff system. The INA-CBGs system is implemented so that there is a standard for classifying hospital rates to be paid by BPJS Health and to encourage efficiency without reducing service quality. The occurrence of negative differences in several cases in the use of the INA-CBGs system makes hospitals have to be smarter in managing costs. So in order to achieve the standard cost grouping in the appropriate INA-CBGs system, there are several factors that must be reviewed in the manufacture of the system, such as length of treatment, level of care, drug use, diagnosis and type of hospital. The purpose of this study was to determine the analysis of the difference in real costs with INA-CBGs in hospital patient care in Indonesia. This study uses a literature review method that uses secondary data from online searches, namely Google Scholar, Neliti, and GARUDA. The results of the literature search that are included in the inclusion characteristics are 8 articles from 2013-2021 which discuss the comparison of real hospital rates with INA-CBGs in which there are factors that allow for tariff differences. The results of the study obtained factors of treatment class, length of treatment, level of care, diagnosis, type of treatment, drug use, clinical pathway, and type of hospital. The conclusion obtained is that several factors show a significant effect, length of treatment and clinical pathways are the main problems increasing costs and resulting in a negative difference that is detrimental to the hospital. The recommendations given are to improve the clinical pathways that run in hospitals and also review the formation of INA-CBGs rates in terms of the average length of stay in hospitals, so that INA-CBGs are no longer below hospital rates.
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Since the beginning of the implementation of the National Health Insurance, many problems have arisen. The problem that has attracted the attention of several parties regarding the implementation of JKN is the INA-CBGs tariff system. The INA-CBGs system is implemented so that there is a standard for classifying hospital rates to be paid by BPJS Health and to encourage efficiency without reducing service quality. The occurrence of negative differences in several cases in the use of the INA-CBGs system makes hospitals have to be smarter in managing costs. So in order to achieve the standard cost grouping in the appropriate INA-CBGs system, there are several factors that must be reviewed in the manufacture of the system, such as length of treatment, level of care, drug use, diagnosis and type of hospital. The purpose of this study was to determine the analysis of the difference in real costs with INA-CBGs in hospital patient care in Indonesia. This study uses a literature review method that uses secondary data from online searches, namely Google Scholar, Neliti, and GARUDA. The results of the literature search that are included in the inclusion characteristics are 8 articles from 2013-2021 which discuss the comparison of real hospital rates with INA-CBGs in which there are factors that allow for tariff differences. The results of the study obtained factors of treatment class, length of treatment, level of care, diagnosis, type of treatment, drug use, clinical pathway, and type of hospital. The conclusion obtained is that several factors show a significant effect, length of treatment and clinical pathways are the main problems increasing costs and resulting in a negative difference that is detrimental to the hospital. The recommendations given are to improve the clinical pathways that run in hospitals and also review the formation of INA-CBGs rates in terms of the average length of stay in hospitals, so that INA-CBGs are no longer below hospital rates.
S-11560
Depok : FKM-UI, 2022
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Farhan Aulia Rahman; Pembimbing: Artha Prabawa; Penguji: Martya Rahmaniati Makful, Inti Wikanestri
Abstrak:
Analisis spasial dilakukan untuk melihat sebaran serta korelasi antara faktor determinan dengan angka cakupan vitamin A. Penelitian ini merupakan penelitian kuantitatif yang penggunakan pendekatan analisis spasial dan korelasi. Data yang digunakan adalah data sekunder dari Badan Pusat Statistika dan Dinas Kesehatan Provinsi Papua tahun 2019.
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S-10835
Depok : FKMUI, 2022
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Farhan Kurniawan; Pembimbing: Vetty Yulianty Permanasari; Penguji: Mardiati Nadjib, Erfan Chandra Nugraha
Abstrak:
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Bayi prematur dan bayi dengan berat badan lahir rendah (BBLR) merupakan masalah kesehatan masyarakat yang berkontribusi besar terhadap kematian neonatal dan memberikan beban ekonomi dalam sistem Jaminan Kesehatan Nasional (JKN). Penelitian ini bertujuan untuk menganalisis determinan lama hari rawat dan biaya perawatan bayi prematur dan BBLR pada peserta JKN. Penelitian ini menggunakan kohort retrospektif dengan Data Sampel BPJS Kesehatan tahun 2022–2024. Sebanyak 2.119 pasangan ibu dan anak dianalisis. Hasil menunjukkan 73,77% bayi dirawat di tingkat RITL dengan median lama rawat 4 hari. Median biaya RJTL per individu mencapai Rp195.850,00, sementara RITL mencapai Rp7.453.400,00. Faktor usia ibu, usia bayi, kelompok diagnosis bayi, komplikasi neonatal, dan tipe FKRTL secara signifikan memengaruhi lama hari rawat serta biaya perawatan RJTL maupun RITL. Status kelengkapan ANC hanya memengaruhi biaya perawatan RITL secara signifikan. Sementara segmentasi kepesertaan JKN dan regionalisasi tarif INA-CBGs hanya secara signifikan memengaruhi biaya perawatan RJTL maupun RITL. Usia bayi menjadi faktor dominan yang memengaruhi lama hari rawat dan biaya perawatan bayi prematur dan BBLR pada peserta JKN tahun 2022–2023. Dengan demikian, strategi pengendalian biaya dan peningkatan efisiensi perawatan perlu difokuskan pada usia bayi dengan tetap memperhatikan aspek klinis dan karakteristik fasilitas kesehatan yang bekerja sama dalam skema JKN.
Preterm and low birth weight (LBW) infants represent a significant public health concern, contributing substantially to neonatal mortality and imposing an economic burden on Indonesia’s National Health Insurance (JKN) system. This study aims to analyze the determinants of length of stay and treatment cost for preterm and LBW infants covered by JKN. A retrospective cohort design was employed using the Data Sampel BPJS Kesehatan 2022–2024, involving 2,119 mother-infant pairs. Results show that 73.77% of infants received care at advanced inpatient facilities (RITL), with a median length of stay of 4 days. The median outpatient (RJTL) and inpatient (RITL) care costs per individual were Rp195,850 and Rp7,453,400, respectively. Maternal age, infant age, diagnosis group, neonatal complications, and type of referral hospital significantly influenced both the length of stay and healthcare costs in RJTL and RITL settings. Completeness of antenatal care (ANC) visits was significantly associated only with the RITL costs, while JKN membership segmentation and INA-CBGs tariff regionalization significantly affected healthcare costs. Infant age emerged as the most dominant factor in influencing length of stay and treatment cost. These findings highlight the need for cost-control strategies and care efficiency improvements that prioritize infant age, clinical conditions, and facility characteristics within the JKN.
S-11875
Depok : FKM-UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Muhammad Farhan Ramadhan; Pembimbing: Syahrizal Syarif; Penguji: Trisari Anggondowati, Kamaluddin Latief
Abstrak:
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Peningkatan prevalensi diabetes melitus melitus tipe 2 (DMT2) yang disertai dengan peningkatan angka kematian akibat komplikasi menjadi tantangan besar bagi kesehatan masyarakat di berbagai negara termasuk di Indonesia dalam beberapa dekade terakhir. Kondisi DMT2 tidak terkendali meningkatkan risiko komplikasi pada penderita DMT2. Penelitian terdahulu di Indonesia menunjukkan proporsi DMT2 tidak terkendali sebesar 67%. Penelitian ini bertujuan untuk mengetahui faktor risiko DMT2 tidak terkendali di Indonesia. Penelitian ini menggunakan desain studi potong lintang dengan jumlah sampel sebanyak 553 orang. Penelitian menggunakan data sekunder hasil Survei Kesehatan Indonesia (SKI) 2023. Hasil penelitian ini menunjukkan proporsi DMT2 tidak terkendali sebesar 77,8%. Kurang aktivitas fisik (PR 1,24; 95% CI 1,00-1,53), konsumsi makanan tinggi gula (PR 1,44; 95% CI 1,10-1,89), dan konsumsi makanan tinggi lemak (PR 1,49; 95% CI 1,10-2,00) berhubungan dengan meningkatnya risiko DMT2 tidak terkendali. Penelitian ini menunjukkan bahwa DMT2 tidak terkendali merupakan masalah yang perlu ditangani lebih lanjut. Modifikasi gaya hidup seperti meningkatkan aktivitas fisik dan diet rendah gula serta lemak perlu dilakukan dalam upaya menurunkan angka DMT2 tidak terkendali.
The increasing prevalence of type 2 diabetes mellitus (T2DM) accompanied by an increase in the number of deaths due to complications has become a major challenge for public health in various countries including Indonesia in recent decades. Uncontrolled T2DM increases the risk of complications in people with T2DM. Previous research in Indonesia has shown that the proportion of uncontrolled T2DM is 67%. This study aims to determine the risk factors for uncontrolled T2DM in Indonesia. This study used a cross-sectional study design with a sample size of 553 people. The study used secondary data from the 2023 Indonesian Health Survey (SKI). The results of this study showed that the proportion of uncontrolled T2DM was 77.8%. Lack of physical activity (PR 1.24; 95% CI 1.00-1.53), consumption of high-sugar foods (PR 1.44; 95% CI 1.10-1.89), and consumption of high-fat foods (PR 1.49; 95% CI 1.10-2.00) were associated with increasing uncontrolled T2DM. This study shows that uncontrolled T2DM is a problem that needs to be addressed further. Lifestyle modifications such as increasing physical activity and a low-sugar and low-fat diet need to be done in an effort to reduce the number of uncontrolled DMT2.
T-7350
Depok : FKM-UI, 2025
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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