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"Stunting merupakan salah satu masalah kesehatan masyarakat global yang sampai saat ini masih perlu memperoleh perhatian penting terutama di negara-negara berkembang. Indonesia perlu menurunkan prevalensi stunting menjadi 14% pada tahun 2024. Sebanyak 108 kabupaten/kota di Provinsi Banten, Jawa Barat, jawa Tengah dan Jawa Timur termasuk lokasi fokus intervensi percepatan penurunan stunting terintegrasi tahun 2023 dengan skema percepatan khusus. Penelitian ini bertujuan untuk mengetahui visualisasi dashboard data wilayah berisiko stunting dikaitkan dengan pola asuh, faktor lingkungan, faktor akses pelayanan kesehatan, penyakit infeksi dan BBLR di Provinsi Banten, Jawa Barat, Jawa Tengah dan Jawa Timur tahun 2021. Penelitian ini merupakan studi ekologi dengan unit analisis di tingkat kabupaten/kota dan menggunakan data sekunder berupa data agregat hasil Studi Status Gizi Indonesia (SSGI) Tahun 2021 yang diperoleh dari BKPK Kemenkes RI. Hasilnya dashboard yang dibuat dapat menyajikan data pemetaan sebaran risiko stunting dikaitkan dengan pola asuh, faktor lingkungan, faktor pelayanan kesehatan, penyakit infeksi dan BBLR. Selain itu juga menyajikan data dan grafik variabel di tingkat kabupaten/kota yang interaktif, serta menyajikan simulasi prevalensi stunting yang dihubungkan dengan variabel yang signifikan berhubungan dengan stunting pada penelitian ini.

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Stunting is one of the global public health problems that still needs important attention, especially in developing countries. Indonesia needs to reduce the prevalence of stunting to 14% by 2024. A total of 108 districts/cities in the provinces of Banten, West Java, Central Java and East Java are included in the focus locations of the integrated stunting reduction acceleration intervention in 2023 with a special acceleration scheme. This study aims to describe the dashboard visualization of data on areas at risk of stunting associated with parenting, environmental factors, health service access factors, infectious diseases and LBW in Banten, West Java, Central Java and East Java Provinces in 2021. This research is an ecological study with a unit of analysis at the district / city level and used secondary aggregated data of the 2021 Indonesian Nutrition Status Study (SSGI) obtained from the BKPK Kemenkes RI. As a result, the dashboard created can present data mapping the distribution of stunting risk associated with parenting, environmental factors, health service factors, infectious diseases and LBW. In addition, it also presented data and graphs of variables at the interactive district / city level, and presented a simulation of the prevalence of stunting associated with variables that were significantly associated with stunting in this study."

"Provinsi DKI Jakarta masih memiliki angka kejadian diare yang tinggi dibandingkan provinsi lain, dimana angka perkiraan diare di fasilitas kesehatan mencapai 280.104 kasus dan diare ditangani sebanyak 250.234 kasus. Diare juga merupakan salah satu penyakit yang masuk ke dalam kategori 10 penyakit terbanyak rawat jalan di puskesmas provinsi DKI Jakarta tahun 2020. Penelitian ini bertujuan untuk mengetahui analisis spasial proporsi kejadian penyakit diare dengan kepadatan penduduk, pendidikan rendah, depot air minum, tempat pengelolaan pangan, fasilitas kesehatan (puskesmas), dan tenaga kesehatan (dokter, perawat, bidan) di DKI Jakarta tahun 2019. Penelitian ini menggunakan jenis penelitian observasional karena penelitian dilakukan menggunakan data sekunder yang tersedia di website akses bebas yang meliputi variabel jumlah kejadian diare tahun 2019 untuk setiap kecamatan yang terdiri dari 36 kecamatan, kepadatan penduduk, pendidikan rendah, sumber air minum, tempat pengelolaan pangan, tenaga kesehatan (dokter, perawat, bidan), dan fasilitas kesehatan (puskesmas). Berdasarkan hasil analisis diketahui nilai Sig. (2-tailed) antara variabel dependen dengan variabel independen adalah sebesar p-value > 0.05, yang berarti tidak terdapat korelasi yang signifikan antara variabel dependen dengan variabel independen. Namun demikian, variabel independen yang memiliki nilai p-value mendekati 0.05 adalah variabel tempat pengelolaan pangan dengan p-value 0.114, variabel dokter dengan p-value 0.266, dan variabel bidan dengan p-value 0.330. Kemudian hasil analisis nilai pearson correlation juga tidak ada yang > r table 0.329, yang berarti tidak ada korelasi antara variabel dependen dan independen. Namun demikian, variabel independen yang memiliki nilai r mendekati r tabel 0.329 adalah variabel tempat pengelolaan pangan sehat dengan r sebesar 0.268, dokter sebesar -0.190, dan bidan sebesar -0.167. Untuk wilayah dengan tingkat kerawanan tinggi terjadinya diare diharapkan adanya suatu manajemen dan intervensi berbasis wilayah dari dinas kesehatan dan kesehatan lingkungan setempat dengan cara memberikan penyuluhan tentang menjaga dan memelihara fasilitas sanitasi yang telah tersedia. Untuk Dinas Kesehatan setempat, diharapkan dapat pengembangan indikator penting yang memungkinkan menjadi faktor risiko penyakit menular untuk bisa diambil informasinya secara rutin dan dilakukan tindakan preventif. Selain itu, pihak dinas kesehatan juga bisa membuat pemetaan kasus dan hasil pemeriksaan sanitasi.

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DKI Jakarta Province still has a high incidence of diarrhea compared to other provinces, where the estimated number of diarrheas in health facilities reaches 280,104 cases and diarrhea is handled as many as 250,234 cases. Diarrhea is also one of the diseases that fall into the category of the 10 most outpatient diseases at the DKI Jakarta provincial health center in 2020. This study aims to determine the spatial analysis of the proportion of diarrheal diseases with population density, low education, drinking water depots, food management facilities, health facilities (puskesmas), and health workers (doctors, nurses, midwives) in DKI Jakarta in 2019. This study uses an observational type of research because the study was conducted using secondary data available on the free access website which includes the variable number of diarrhea events in 2019 for each sub-districts consisting of 36 sub-districts, population density, low education, drinking water sources, food management facilities, health workers (doctors, nurses, midwives), and health facilities (puskesmas). Based on the results of the analysis, it is known that the value of Sig. (2-tailed) between the dependent variable and the independent variable is p-value > 0.05, which means that there is no significant correlation between the dependent variable and the independent variable. However, the independent variables that have a p-value close to 0.05 are the variable where food is managed with a p-value of 0.114, a doctor's variable with a p-value of 0.266, and a midwife variable with a p-value of 0.330. Then the results of the analysis of the Pearson correlation value are also not > r table 0.329, which means there is no correlation between the dependent and independent variables. However, the independent variable which has an r value close to r table 0.329 is the variable where healthy food is managed with an r of 0.268, doctors of -0.190, and midwives of -0.167. For areas with a high level of vulnerability to diarrhea, it is expected that there will be an area-based management and intervention from the local health and environmental health office by providing counseling about maintaining and maintaining existing sanitation facilities. For the local Health Office, it is hoped that important indicators can be developed that may become risk factors for infectious diseases so that information can be taken regularly, and preventive actions can be taken. In addition, the health office can also make case mapping and sanitation inspection results"

"[ABSTRAKPM2,5 dapat masuk ke alveoli dan menjadi pemicu terjadinya inflamasi sehingga menyebabkan penurunan fungsi paru. Tujuan dari penelitian ini adalah untuk menganalisis secara spasial hubungan antara konsentrasi PM2,5 udara dalam rumah dengan penurunan fungsi paru pada ibu rumah tangga sekitar industri Desa Sukadanau, Kecamatan Cikarang Barat, Kabupaten Bekasi tahun 2015. Desain penelitian cross sectional modifikasi geographical epidemiology pada 125 ibu rumah tangga berusia 20-45 tahun yang akan diperiksa fungsi parunyamenggunakan spirometri serta 125 sampel PM2,5 udara dalam rumah. Hasil penelitian menunjukkan bahwa terdapat 58,4% ibu rumah tangga yang mengalami penurunan fungsi paru. Hasil analisis multivariat dapat disimpulkan bahwa ibu rumah tangga berusia 20-45 tahun yang tinggal di rumah dengan konsentrasi PM2,5 tidak memenuhi syarat berisiko 2,4 kali lebih besar mengalami penurunan fungsi paru dibandingkan ibu rumah tangga yang tinggal di dalam rumah dengankonsentrasi PM2,5 memenuhi syarat setelah dikontrol variabel ventilasi dan pajanan asap rokok. Analisis spasial menunjukkan RW 5 dan RW 8 Desa Sukadanau, Kecamatan Cikarang Barat merupakan wilayah RW dengan zona prioritas untuk dilakukan intervensi kesehatan.

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ABSTRACTFine particles more dangerous because they penetrate more deeply into the lung and may reach the alveolar region and reduce lung function. The aim of this study was to analys spatially association between indoor fine particles and lung function levels among housewife around steel industry. A cross sectional design study combine with geographical epidemiology of 125 houses that the unit analysis were 125 housewives from 20 to 45 years. The results showed that there were 58,4% housewives had decline lung function. Multivariate analysis concluded that housewives aged 20-45 years with indoor fine particles (PM2,5) inadequate 2.4 times risk higher to reduced lung function than adequate indoor fine particles after controlled by ventilation and tobacco smoke exposure. Spatial analysis concluded that RW 5 and RW 8 Sukadanau, West Cikarang were in priority zone with very high risk area.;Fine particles more dangerous because they penetrate more deeply into the lungand may reach the alveolar region and reduce lung function. The aim of this studywas to analys spatially association between indoor fine particles and lung functionlevels among housewife around steel industry. A cross sectional design studycombine with geographical epidemiology of 125 houses that the unit analysiswere 125 housewives from 20 to 45 years. The results showed that there were58,4% housewives had decline lung function. Multivariate analysis concluded thathousewives aged 20-45 years with indoor fine particles (PM2,5) inadequate 2.4times risk higher to reduced lung function than adequate indoor fine particles aftercontrolled by ventilation and tobacco smoke exposure. Spatial analysis concludedthat RW 5 and RW 8 Sukadanau, West Cikarang were in priority zone with veryhigh risk area.;Fine particles more dangerous because they penetrate more deeply into the lungand may reach the alveolar region and reduce lung function. The aim of this studywas to analys spatially association between indoor fine particles and lung functionlevels among housewife around steel industry. A cross sectional design studycombine with geographical epidemiology of 125 houses that the unit analysiswere 125 housewives from 20 to 45 years. The results showed that there were58,4% housewives had decline lung function. Multivariate analysis concluded thathousewives aged 20-45 years with indoor fine particles (PM2,5) inadequate 2.4times risk higher to reduced lung function than adequate indoor fine particles aftercontrolled by ventilation and tobacco smoke exposure. Spatial analysis concludedthat RW 5 and RW 8 Sukadanau, West Cikarang were in priority zone with veryhigh risk area.;Fine particles more dangerous because they penetrate more deeply into the lungand may reach the alveolar region and reduce lung function. The aim of this studywas to analys spatially association between indoor fine particles and lung functionlevels among housewife around steel industry. A cross sectional design studycombine with geographical epidemiology of 125 houses that the unit analysiswere 125 housewives from 20 to 45 years. The results showed that there were58,4% housewives had decline lung function. Multivariate analysis concluded thathousewives aged 20-45 years with indoor fine particles (PM2,5) inadequate 2.4times risk higher to reduced lung function than adequate indoor fine particles aftercontrolled by ventilation and tobacco smoke exposure. Spatial analysis concludedthat RW 5 and RW 8 Sukadanau, West Cikarang were in priority zone with veryhigh risk area., Fine particles more dangerous because they penetrate more deeply into the lungand may reach the alveolar region and reduce lung function. The aim of this studywas to analys spatially association between indoor fine particles and lung functionlevels among housewife around steel industry. A cross sectional design studycombine with geographical epidemiology of 125 houses that the unit analysiswere 125 housewives from 20 to 45 years. The results showed that there were58,4% housewives had decline lung function. Multivariate analysis concluded thathousewives aged 20-45 years with indoor fine particles (PM2,5) inadequate 2.4times risk higher to reduced lung function than adequate indoor fine particles aftercontrolled by ventilation and tobacco smoke exposure. Spatial analysis concludedthat RW 5 and RW 8 Sukadanau, West Cikarang were in priority zone with veryhigh risk area.]"

"Urbanisasi merupakan suatu fenomena negara berkembang yang perlu dikaji mendalam karena mempunyai dampak yang bervariasi antara lain peningkatan konsumsi energi. Konsumsi energi perlu dikendalikan agar terdapat keseimbangan antara penyediaan dan permintaan energi disetiap provinsi. Dalam penelitian ini, Intensitas energi akan digunakan sebagai alat ukur dari konsumsi energi serta unsur kewilayahan digunakan untuk menangkap keanekaragaman kondisi setiap provinsi. Tujuan dari penelitian ini adalah untuk 1) Apakah terdapat korelasi spasial dalam intensitas energi di Indonesia; dan 2) Bagaimanakah dampak spasial (langsung, tidak langsung dan total) urbanisasi terhadap intensitas energi pada wilayah Indonesia, Kawasan Indonesia Timur (KTI), dan Kawasan Indonesia Barat (KBI). Metode penelitian yang digunakan adalah analisis spasial menggunakan Moran Test, Spatial Durbin Model dan analisis dekomposisi lanjut pada spatial spillover effect. Hasilnya adalah adanya korelasi spasial terhadap intensitas energi yang terjadi di masing-masing provinsi. Urbanisasi menunjukkan dampak signifikan negatif terhadap intensitas energi pada efek langsung di KTI dan KBI dan juga pada efek tidak langsung dan efek total di wilayah Indonesia dan KBI.

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Urbanization is a phenomenon on developing countries that needs to be studied in depth because it has various impacts, including an increase in energy consumption. Energy consumption needs to be controlled in order to balancing energy supply and demand in each province. In this study, energy intensity will be used as a measurement of energy consumption and regional elements are used to capture the diversity of characteristics in each provinces. The purpose of this study is to 1) Is there a spatial correlation in energy intensity in Indonesia; and 2) What is the spatial (direct, indirect and total) impact of urbanization on energy intensity in the Indonesian region, Eastern Indonesia Region (KTI), and Western Indonesia Region (KBI). The research method used is spatial analysis using Moran Test, Spatial Durbin Model and advanced decomposition analysis on the spatial spillover effect. The result is a spatial correlation to the energy intensity that occurs in each province. Urbanization shows a significant negative impact on energy intensity on the direct effect on KTI and KBI and also on the indirect effect and the total effect in the territory of Indonesia and KBI."

"Di Indonesia angka insidens demam berdarah dengue (DBD) selalu menunjukkan peningkatan dan berpotensi untuk terjadinya kejadian luar biasa; tahun 2005 ? 43,42, tahun 2006 meningkat 52,48 dan tahun 2007 meningkat kembali 71,78. Tujuan penelitian ini adalah diketahuinya gambaran penyakit DBD di area makam dan faktor risiko lainnya berbasis Sistem Informasi Geografis (SIG). Rancangan penelitian ini adalah studi ekologi dengan analisis spasial dan uji hipotesis. Hasil penelitian berdasarkan analisis spasial menunjukkan keberadaan makam pada suatu wilayah kelurahan berkaitan dengan tingginya sebaran kasus DBD di wilayah tersebut. Begitu juga untuk kepadatan penduduk yang tinggi, banyaknya jumlah bangunan, angka bebas jentik (ABJ) yang rendah, terlihat juga memiliki sebaran kasus DBD yang tinggi. Secara statistik faktor resiko yang berhubungan signifikans dengan DBD adalah ABJ (p=0,00), suhu udara (p=0,05) dan kelembaban udara (p=0,05). Sedangkan curah hujan tidak ditemukan hubungan yang signifikans (p=0,96).

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In Indonesia, the incidence rate of dengue hemorrhagic fever (DHF) has always shown an increase and the potential for the occurrence of outbreak; in 2005 - 42.43, in 2006 increased by 52.48 and in 2007 increased again 71.78. The purpose of this research is to describe of the DHF in the area of the tomb and other risk factors based on Geographic Information System (GIS). The design of this research is ecological study with spatial analysis and hypothesis testing.

The results showed the existence of spatial analysis on the tomb in a village area due to the high distribution of DHF cases in the region. Others variable are the high population density, large number of buildings, number of free larvae (ABJ) low spatial also have a high distribution of DHF cases. Other risk factors statistically associated with DHF are ABJ significance (p=0.00), air temperature (p=0.05), humidity (p=0.05). Meanwhile, precipitation factor was not significance (p= 0.96)."

"Selama tiga tahun terakhir, seluruh kelumhan di Kota Cirebon dinyatakan sebagai kelurahan endemis DBD. Kejadian penyakit DBD Kota Cirebon setiap tabun selalu meningkat dan mencapai puncaknya pada tahun 2006 sebanyak 507 kasus. Meakipun prosentase angka kematian DBD Kota Cirebon dari tahun ke tahun mengalami penurunan akan letapi masih diatas angka nasional (1%). Tujuan pene1itian ini adalah untuk mengetahui gambaran kejadian penyalcit DBD dan po1a hubungan secara spasial antara faktor risiko lingkungan iklirn (saku udara, kelembaban, curah hujan), faktor kependudukan (kepadatan penduduk, kepadntan permukirnan, peududuk usia kurang dari 15 tahun) dan Angka Bebas Jentik (ABJ) terhadap kejadian DBD di Kota Cirebon dari tahun 2005 - 2007. Hasil analisis spasial memperlihalkan bahwa kasus DBD (2005-2007) banyak menyebar di wilayah padat permukiman. Hasil uji statistik menunjukkan bahwa variabel yang berhubungan dengan DBD adalah: kelembaban (p=0,043) dan penduduk usia kurang dari 15 tahun (p=0,027) terjadi ditahun 2005. Tahun 2007 variabel yang berhubungan dengan DBD adalah curah hujan (p=0,008), sedangkan tahun 2006 tidak ada variabel yang berhubungan. Distribusi yang hampir merata disemua variabel memberikan hasil tidak berhubungan.

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During the last three years, all sub-districs at Cirebon Clty finding expression as endemics area of dengue fever. The incident rate of dengue fever at Cirebon City is always increasing every years and reaches the top in 2006 with 507 cases. Although the death rate percentage at Cirebon City are decreasing every year but still above the national rate). Objectives of research to find out the image of the incident rate of dengue fever and model of relationships spatialy between environmental risk factor of climate (temperature, humidity. and rainfall), demographics factors (population density. residences density, population of age lowest than 15 years) and Larva Free Rate (LFR) ofDHF incident at Cirebon City from year2005 to 2007. Design of the study used ecology design of time trend studies. The incident rate of dengue fever for look according to the time diffusion every years per sub-districs as analysis unit with making the secondary data. The analysis data is variable with dengue fever is rainfall {p""'0,008). whereas in 2006 years no associate variable with dengue fever."

"Tanah longsor yang terjadi di Kulon Progo telah menjadi ancaman bencana bagi penduduk dan aktivitas perekonomiannya, yang terindikasi dari kejadian 342 kejadian selama tahun 2016 dan merupakan kabupaten dengan lokasi longsor terbanyak di Daerah Istimewa Yogyakarta. Pemetaan wilayah potensi longsor menggunakan metode Stability Index Mapping (SINMAP) dan Slope Morphology (SMORPH) yang dikaitkan dengan landform merupakan tujuan dari penelitian ini. Identifikasi potensi longsor dilakukan pada 32 lokasi longsor yang penentuannya berdasarkan pada teknik stratified random sampling. Analisis spasial dilakukan dengan menggunakan teknik overlay peta antara kedua wilayah potensi yang dikaitkan dengan landform. Hasil analisis menunjukkan bahwa pola wilayah potensi longsor antara metode SINMAP dan SMORPH memiliki beberapa kesamaan seperti persebaran wilayah potensi pada kelas tinggi dan sedang yang berada di bagian Barat Daya sampai dengan Timur Laut Kabupaten Kulon Progo. Wilayah Potensi longsor Metode SINMAP didominasi oleh kelas potensi yang sedang sedangkan pada SMORPH didominasi kelas rendah. Wilayah dengan kelas potensi longsor yang sama antara kedua metode berada pada landform dengan relief yang berbukit.

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The landslide that occurred in Kulon Progo has become a disaster threat for the population and economic activity, indicated by 342 incidents during 2016. Kulon Progo is the district with the most landslide location in Yogyakarta. Mapping of potential landslide areas using Stability Index Mapping SINMAP and Slope Morphology SMORPH methods associated with landform is the aim of this study. The identification of potential landslide areas with 32 landslide locations is based on stratified random sampling technique. Spatial analysis is performed using overlay map techniques between the two potential areas associated with the landform.

The result shows that the pattern of potential landslide area between SINMAP and SMORPH methods has some similarities such as the distribution of potential areas from high and middle class located in the Southwest to North East Kulon Progo. Potential Landslide Areas from SINMAP method is dominated by a moderate potential class whereas in SMORPH is dominated by low grade. Areas with the same landslide potential class between the two methods are on landforms with hilly reliefs. This paper showed that the difference of two methods variables such as rainfall and soil type affect the detection of landslides in the region."

"Penelitian mengenai tingkat inovasi pada level regional telah banyak dilakukan di beberapa negara, namun untuk kasus Indonesia penelitian serupa masih sangat jarang untuk ditemui. Penelitian ini menganalisis bagaimana persebaran inovasi di Indonesia serta ingin mengetahui apakah terjadi spilover inovasi atau tidak. Selain itu penelitian ini juga melihat faktor apa saja yang membuat suatu provinsi cenderung memiliki tingkat inovasi yang lebih tinggi dibanding dengan provinsi lainnya di Indonesia. Tingkat inovasi dalam penelitian ini diukur dengan menggunakan jumlah paten yang terdaftar. Dengan Data paten 33 provinsi dari tahun 2005 hingga 2015 yang dianalisis menggunakan Moran's I test dan spatial durbin model didapati bahwa inovasi di Indonesia terpusat di Pulau Jawa dan cenderung mengelompok. Provinsi yang memiliki tingkat inovasi yang tinggi cenderung berkelompok dengan provinsi yang memiliki tingkat inovasi tinggi dan sebaliknya. Selain itu penelitian ini juga menemukan bahwa terdapat Spilover inovasi yang terjadi baik secara lokal maupun global. Penelitian ini juga menemukan bahwa tingkat inovasi di suatu provinsi dipengaruhi oleh input inovasi, adanya aglomerasi, akumulasi human capital, adanya industri yang memiliki skill intensive, infrastruktur, akses informasi serta mobilitas penduduk.

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Research about level of innovation at the regional has been widely practiced in some countries, but in Indonesia the case of similar research is still very rare to find. This study analyzes how the distribution of innovation in Indonesia and want to know does Spillovers Innovation occur or not. In addition, this study also looks at what factors make a province tend to have a higher level of innovation compared to other provinces in Indonesia.

The level of innovation in this study was measured using the number of registered patents. With 33 provincial patent data from 2005 to 2015 analyzed using Moran 39 s I test and spatial durbin model it was found that innovation in Indonesia was centered on Java and tended to clustering.

The Provinces with high level of innovation tend to group with provinces with high levels of innovation and vice versa. In addition, this study also found that Spillovers innovation occurs both locally and globally. The study also found that the level of innovation in a province is influenced by innovation input, agglomeration, accumulation of human capital, the existence of skill intensive industry, infrastructure, access of information and population mobility."