Lutfan Lazuardi
Departemen Kebijakan dan Manajemen Kesehatan, Fakultas Kedokteran, Kesehatan Masyarakat, dan Keperawatan, Universitas Gadjah Mada

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Analisis spasial temporal faktor lingkungan fisik dengan kejadian malaria di kabupaten Banjarnegara Rizki Wahistina; Lutfan Lazuardi; Sitti Rahmah Umniyati
Berita Kedokteran Masyarakat (BKM) Vol 34, No 4 (2018)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2014.343 KB) | DOI: 10.22146/bkm.27505

Abstract

Spatial-temporal distribution of physical environmental factors of malaria cases in Banjarnegara of Central JavaPurposeThe study aimed to describe physical environmental factors (temperature, humidity, wind velocity and rainfall) statistically, using graphs/time trends and spatial analysis and to analyze its effect on malaria incidence.MethodThis study used the design of ecological studies with spatial-temporal approach. The data were time series data of months of malaria incident and physical environment factors in Banjarnegara period 2011-2015. Poisson and binomial negative regression models were used to analyze the influence of physical environmental factors with the incidence of malaria.ResultsStatistical, graph/time trend, and spatial analysis indicate that there were correlations between temperature, humidity, wind velocity and rainfall with malaria incidence. Negative binomial regression model was the best. It showed that the temperature in the same year (lag 0), the temperature in the previous two months (lag 2 ) and rainfall on the previous month (lag 1) affected the incidence of malaria.ConclusionThe local government of Banjarnegara needs to consider the physical environment factors in implementing the prevention program.
Mengenal DHIS2: platform integrasi data Niko Tesni Saputro; Lutfan Lazuardi
Berita Kedokteran Masyarakat (BKM) Vol 35, No 4 (2019): Proceedings the 5th UGM Public Health Symposium
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1125.885 KB) | DOI: 10.22146/bkm.44833

Abstract

Latar Belakang: Disintegrasi data kesehatan terjadi tidak hanya di tingkat pusat, melainkan juga provinsi hingga kabupaten/kota. Hal tersebut bisa berdampak terhadap kualitas kebijakan kesehatan yang dihasilkan, maka perlu dilakukan integrasi data. WHO menyerukan penggunaan data repository untuk integrasi data. DHIS2 hadir sebagai platform data repository yang dapat memenuhi kebutuhan pusat dan daerah.Tujuan: Mengenal DHIS2 sebagai platform data repository untuk integrasi data.Konten: DHIS2 merupakan alat generik dengan basisdata pra-konfigurasi, model metadata terbuka dan desain antarmuka yang fleksibel, sehingga memungkinkan pengguna untuk merancang konten dari sistem informasi tertentu tanpa memerlukan pemrograman. DHIS2 sangat fleksibel sehingga orang yang melakukan kustomisasi dapat dengan mudah mengubah proses bisnis dalam sistem tersebut sesuai kebutuhan. DHIS2 mempunyai struktur what, where dan when, yang dalam aplikasi, what ditunjukkan dengan data element, where ditunjukkan dengan organisation unit dan when ditunjukkan dengan periods. DHIS2 memungkinkan pengguna untuk menentukan indikator, menggabungkan data element ke dalam formula, laporan, tabel dan grafik untuk dianalisis. DHIS2 juga dapat menghasilkan dashboard data terintegrasi sehingga membantu pembuatan kebijakan kesehatan.Hasil: DHIS2 telah diterapkan di beberapa negara, seperti Ethiopia, Uganda, Botswana, Iran, Kenya, Zanzibar, dan negara lainnya. Secara umum, DHIS2 mampu mengintegrasikan berbagai sumber data kesehatan potensial untuk berbagai program kesehatan dengan berbagai metode pencatatan dan pelaporan, baik berbasis web, Excel maupun kertas. Selain itu, data dapat diakses lebih mudah, mencakup semua kebutuhan indikator kesehatan dan dapat dipantau serta dianalisis sampai tingkat komunitas (puskesmas). Sebagai upaya mengatasi disintegrasi data kesehatan, Kementerian Kesehatan berusaha menerapkan Aplikasi Satu Data Kesehatan (ASDK), menggunakan platform DHIS2. Kementerian Kesehatan telah mengadopsi DHIS2 sejak tahun 2016. Melalui penerapan ASDK, maka seluruh kabupaten/kota di Indonesia menggunakan DHIS2. Kementerian Kesehatan melaksanakan roll-out penerapan ASDK untuk 50 kabupaten/kota di seluruh Indonesia.Kesimpulan: DHIS2 merupakan platform data repository yang dapat digunakan untuk integrasi data baik di tingkat pusat maupun daerah. Keywords: DHIS2, data repository, integrasi.
Metode term frequencies untuk penelitian kesehatan di twitter: studi pada tweet berbahasa Indonesia terkait obesitas Felix Fridom Mailoa; Lutfan Lazuardi
Berita Kedokteran Masyarakat (BKM) Vol 35, No 4 (2019): Proceedings the 5th UGM Public Health Symposium
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1205.193 KB) | DOI: 10.22146/bkm.44884

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Pola pencarian informasi perilaku penurunan berat tubuh di indonesia menggunakan google trends Ira Dewi Ramadhani; Lutfan Lazuardi; Leny Latifah
Berita Kedokteran Masyarakat (BKM) Vol 35, No 4 (2019): Proceedings the 5th UGM Public Health Symposium
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (15.722 KB) | DOI: 10.22146/bkm.45171

Abstract

ANALISIS SPASIAL DAN FAKTOR LINGKUNGAN YANG MEMPENGARUHI KEJADIAN DEMAM BERDARAH DENGUE (DBD) DI KECAMATAN LIMBOTO KABUPATEN GORONTALO Ririn Pakaya; Lutfan Lazuardi; Hera Nirwati
Berita Kedokteran Masyarakat (BKM) Vol 35, No 9 (2019)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.50492

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Background: Dengue Hemorrhagic Fever (DHF) is diseases caused by dengue virus. DHF transmitted by mosquito bites from Aedes genus Aedes, mainly Aedes aegypti or Aedes albopictus. DHF is emerging over the year and attacking all of age groups.  It related to environmental condition and community behaviour. Incidence Rate (IR) of DHF from 1968 till now tend to showed improvement. Incidence rate of it showed extremely reduction from 2010 to 2011 and rising from 2012 to 2013 (41,25 per 100.000 person). DHF in Gorontalo has been endemic diseases every years and reported deaths of patient in this cases. Based on data of Districts Health Office Gorontalo, showed incidence of DHF has raised during last six years on 2010-2015. The extreme improvement DHF incidence on 2010 amounts 167 cases (3 person died) and the lowest reduction of DHF incidence on 2011 amounts 4 cases (1 person died). Objective: Identifying spatial distribution of DHF Incidence ana analyzing environment againts incidence of DHF in Limboto, Gorontalo.Method: Type of study was observational used cross sectional study design supported by Geographic information System (GIS) to collected spatial information.Result: Main result by poisson regression test showed association between physical environment variable such as precipitation (in same, previous, and previous two months), temperature (in same, previous, and previous two months), humidity (in same, previous, and previous two months), wind velocity (in same, previous, and previous two months). Variable of precipitation, humidity, and wind velocity in previous two months showed weak coefficient correlation and negative.Conclusion: Pattern of Dengue hemorrhagic fever (DHF) incidence following fluctuation of physical environment. Precipitation in previous two mounts, humidity, and wind velocity in same monts. The results show that the need for the District Health Office Gorontalo may considered physical environment factors on DHF’s prevention program. 
PEMETAAN SISTEM INFORMASI BERDASARKAN SUMBER DAN KEBUTUHAN UNTUK PEMBUATAN KEPUTUSAN DI DINAS KESEHATAN Al Wafi Rahmaputri Ardianingrum; Lutfan Lazuardi
Journal of Health Service Management Vol 24 No 03 (2021)
Publisher : Departemen Kebijakan dan Manajemen Kesehatan, Fakultas Kedokteran, Kesehatan Masyarakat, dan Keperawatan, Universitas Gadjah Mada, Yogyakarta Jl. Farmako Sekip Utara Yogyakarta 55281 Telp 0274-547490

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (128.775 KB) | DOI: 10.22146/jmpk.v24i03.4131

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Background: Ngawi Regent Regulation Number 39 of 2008 concerning Duties, Functions, and Authorities of the Ngawi Regency Office, the function is to formulate technical policies in the health sector. According to Government Regulation Number 36 of 2014 concerning Health Information Systems, it is written that every health facility is required to record and report. Therefore, research required mapping information systems based on sources and availability for decision making at the Ngawi District Health Office. Objective: To identify the information systems and decisions made by the Ngawi District Health Office. Methods: This research is a type of qualitative descriptive research that uses a case study design. The research subjects are stakeholders who understand and are responsible for health programs and policymakers within the Ngawi District Health Office. Data analysis used thematic analysis. Results: The Ngawi District Health Office uses 31 active applications for daily activities. The infrastructure used to support minimal activities is laptops, applications, and internet networks. Data collection starts with the primary health care, health office, and health ministry. The decisions contained in the Ngawi District Health Office are programmed and non-programmed decisions. In 2020, non-programmed decisions were decisions related to the Covid-19 pandemic. Information system mapping has been carried out with an overview of the applications used by each sector in the health office and the data sources used. Conclusion: The Ngawi District Health Office has 31 active applications. The six applications have been integrated, 18 have not been integrated, and 12 applications can be integrated without having to enter the same data twice. There is no standard operating procedure in the public health department at the health office.
HAMBATAN PEMANGKU KEBIJAKAN DALAM MENGGUNAKAN DATA RUTIN KESEHATAN IBU DAN ANAK UNTUK PERENCANAAN DAN PENGANGGARAN Brian Sahar Afifah; Lutfan Lazuardi; Tiara Marthias
Journal of Health Service Management Vol 24 No 04 (2021)
Publisher : Departemen Kebijakan dan Manajemen Kesehatan, Fakultas Kedokteran, Kesehatan Masyarakat, dan Keperawatan, Universitas Gadjah Mada, Yogyakarta Jl. Farmako Sekip Utara Yogyakarta 55281 Telp 0274-547490

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (624.636 KB) | DOI: 10.22146/jmpk.v24i04.4165

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Background: In Indonesia, policy stakeholders’ use of routine health data is still limited because the data are incomplete, not of good quality, and timeliness is still constrained. In MCH (Maternal and Child Health), the use of routine data contributes to the quality of services, MMR (Maternal Mortality Rate) and IMR (Infant Mortality Rate), including in the Special Region of Yogyakarta (DIY). The current pandemic situation has a negative impact on the availability of routine data and the achievements of the MCH program. Thus, it is essential to understand the factors that influence the use of routine data to improve the MCH program during the pandemic. Objective: This study aimed to explore the use of MCH data in the planning and budgeting process for MCH programs and the fac tors that need to be improved in the utilization of MCH data in DIY Province during the COVID-19 pandemic. Methods: This research is descriptive qualitative research that explores barriers to policy stakeholders’ used data in the planning and budgeting process of the MCH program. Research is located in two regencies, Sleman and Gunung Kidul Regencies, DIY Province. Determination of subjects by purposive sampling method, with criteria for stakeholders involved in the planning and budgeting process for the MCH program at the primary health care and health offices. Data analysis using content analysis techniques. Results: The study results found obstacles to using routine MCH data by policymakers, such as low quality of MCH data, Human Resources (HR) quality, an unintegrated MCH information system, internet network, and political interests. In addition, researchers also found lower quality of MCH data during the pandemic. Conclusion: The government needs to increase the use of data in planning and budgeting by using an integrated and simple electronic-based information system to meet MCH information needs. Furthermore, the government needs to make regulations on the integration of MCH information and special SOPs for MCH, improve the quality of human resources for users of information systems, increase HR motivation in respecting MCH information, and need to review PMK policy No. 7 regarding the preparation of MCH planning and budget regarding the timeline for submitting plans. and program budgets.