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All Journal Media Statistika Journal of Public Health for Tropical and Coastal Region Jurnal Pengabdian Masyarakat Bangsa Jurnal Meteorologi dan Geofisika Emerging Statistics and Data Science Journal
Cahyoko, Fajar Dwi
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Identification Of Infant Mortality Rate Factors Using Spatial Autoregressive Moving Average Cahyoko, Fajar Dwi; Subratha, Hesteria Friska Armynia
Journal of Public Health for Tropical and Coastal Region Vol 7, No 3 (2024): Journal of Public Health for Tropical and Coastal Region
Publisher : Faculty of Public Health, Universitas Diponegoro, Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jphtcr.v7i3.24856

Abstract

Introduction: Infant mortality rate (IMR) is one of the indicator of the success for maternal and child health programs. Infant mortality rates affected by biological, environmental, socioeconomic factors and quality of healthcare services. This study aimed to analyze the factors affecting infant mortality rates in the East Java Province using a spatial regression model.Methods: The research units were all 38 districts and cities in East Java Province. Secondary data from the 2023’ Health Profile of East Java Province was used in this study, which included the number of infant deaths and the biological, environmental, socioeconomic factors, the availability and quality of health services. In this study, spatial modelling was conducted using an area approach and spatial influence using the Spatial Autoregressive Moving Average (SARMA) method with Queen Contiguity spatial weights.Results: Based on R2 and AIC values, the Spatial Autoregressive model was preferable to Ordinary Least Squares. The obtained model showed that low birth weight and the percentage of the population that can access good sanitation were the significant factors influencing infant mortality in this study. The other factors: percentage of deliveries by health workers, obstetric complications handled, percentage of poor people, infants receiving vitamin A, and infants receiving exclusive breastfeeding had no significant effect on Infant Mortality Rates.Conclusion: Factors that had significant effect on infant mortality rates in this study were low birth weight and percentage of residents who had access to proper sanitation.
Analisis Hotspot Pada Kasus Angka Kematian Bayi Di Provinsi Jawa Timur Tahun 2023 : Analisis Hotspot Pada Kasus Angka Kematian Bayi Di Provinsi Jawa Timur Tahun 2023 Cahyoko, Fajar Dwi; Kurniawati, Lucky Anggi; Nurmaulid, Mitha Safira; Aditya, Nanda Oktarina; Darusasi, Restutita
Emerging Statistics and Data Science Journal Vol. 3 No. 2 (2025): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol3.iss.2.art9

Abstract

Angka kematian bayi merupakan indikator penting dalam menilai tingkat kesehatan masyarakat suatu wilayah. Meskipun angka kematian bayi di Jawa Timur mengalami penurunan dari tahun 2020 hingga 2022, pada tahun 2023 kembali meningkat menjadi 7,40 per 1.000 kelahiran hidup. Untuk memahami pola distribusi kematian bayi, diperlukan analisis spasial guna mengidentifikasi wilayah yang berisiko tinggi. Penelitian ini menggunakan metode Statistics Getis-Ord Gi* untuk menentukan hotspot dan coldspot yang menjadi titik epicentrum pada angka kematian bayi di Jawa Timur. Metode ini merupakan komplementer dari Indeks Moran’s setelah mengetahui adanya pola distribusi angka kematian bayi secara umum. Data yang digunakan merupakan data sekunder dari Profil Kesehatan Provinsi Jawa Timur tahun 2023, yang mencakup 38 kabupaten/kota. Studi ini menggunakan pendekatan ekologis retrospektif dengan analisis data berupa statistik deskriptif, uji autokorelasi spasial Global Moran’s I, serta pemetaan hotspot menggunakan Getis-Ord Gi*. Hasil penelitian menunjukkan adanya klaster wilayah dengan angka kematian bayi tinggi, terutama di Kabupaten Bondowoso, Jember, dan Situbondo. Faktor-faktor seperti berat bayi lahir rendah, akses terhadap sanitasi yang layak, serta kondisi sosial-ekonomi memiliki hubungan dengan angka kematian bayi, meskipun dengan tingkat korelasi yang bervariasi antar daerah. Penelitian ini menegaskan pentingnya analisis spasial dalam perencanaan kebijakan kesehatan. Dengan memahami pola distribusi kematian bayi, intervensi yang lebih efektif dapat diterapkan untuk menurunkan angka kematian bayi di Jawa Timur. Hasil penelitian ini diharapkan dapat mendukung pencapaian target Sustainable Development Goals (SDGs) dalam menekan angka kematian anak pada tahun 2030
Peningkatan Pemahaman Remaja tentang Kesehatan Reproduksi dan Pernikahan Dini sebagai Upaya Mendukung Bonus Demografi Nurmaulid , Mitha Safira; Darusasi, Restutita Darusasi; Aditya, Nanda Oktarina; Riefky, Muhammad; Kurniawati, Lucky Anggi; Nikmah, Annisatul; Nisa, Choirun; Aisy, Umniyah Rihadatul; Renggani, Puspa; Cahyoko, Fajar Dwi
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 6 (2025): Agustus
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i6.2831

Abstract

Tingginya angka pernikahan dini di kalangan remaja menjadi tantangan serius dalam memaksimalkan potensi bonus demografi di Indonesia. Di Kota Surakarta, tercatat 67 dari 72 permohonan dispensasi nikah anak dikabulkan oleh Pengadilan Tinggi Agama Jawa Tengah pada tahun 2024. Salah satu upaya strategis dalam menekan angka pernikahan dini yaitu dengan mengadakan edukasi kesehatan reproduksi untuk remaja. Maka, melalui kegiatan pengabdian bertujuan untuk meningkatkan pemahaman remaja terkait kesehatan reproduksi dan risiko pernikahan dini melalui edukasi di SMPN 16 Surakarta. Edukasi dilakukan melalui penyuluhan, Focus Group Discussion (FGD), serta media leaflet dan poster. Pengukuran pengetahuan dilakukan sebelum dan sesudah edukasi menggunakan kuesioner yang mencakup topik kesehatan reproduksi dan bahaya pernikahan dini. Hasil menunjukkan peningkatan pemahaman siswa secara signifikan, dengan uji tanda (sign test) menghasilkan p-value sebesar 0,001 (p<0,05). Hal ini mengindikasikan adanya peningkatan pemahaman peserta terkait materi kesehatan reproduksi dan pernikahan dini. Kegiatan ini diharapkan dapat meningkatkan kesadaran remaja mengenai pentingnya menjaga kesehatan reproduksi dan menunda usia pernikahan, serta mendukung upaya pemerintah Kota Surakarta dalam mewujudkan menjadi Kota Layak Anak Dunia tahun 2025 dan mempersiapkan generasi emas 2045.
Affordability Assessment of Community Health Centre Services in Klaten Regency Cahyoko, Fajar Dwi; Aditya, Nanda Oktarina; Darusasi, Restutita; Kurniawati, Lucky Anggi; Nurmaulid, Mitha Safira
Journal of Public Health for Tropical and Coastal Region Vol 8, No 2 (2025): Journal of Public Health for Tropical and Coastal Region
Publisher : Faculty of Public Health, Universitas Diponegoro, Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jphtcr.v8i2.27504

Abstract

Introduction: The existence and affordability of community health centers play a crucial role in supporting the achievement of health development goals. Klaten Regency as one of the regions in Central Java Province has various geographical characteristics and population densities, which resulted in inequality in access to health. This study aimed to assess the affordability of community health center distribution in the Klaten Regency by 2025.Methods: This study was conducted descriptively. Secondary data were obtained from the Klaten Regency Health Profile 2023 for distribution by sub-district and Google Earth for geographic coordinates. Spatial analysis was conducted using Nearest Neighbor Analysis (NNA) to determine distribution patterns, and buffer analysis to assess service coverage. Results: The NNA produced a T-ratio of 1.54, indicating a dispersed distribution of community health centers. Buffer analysis with a 3,000-meter service radius showed that many residential areas remain outside the reach of existing facilities.Conclusion: The Klaten Regency Government should prioritize accessibility to health services through strategic mapping of health workers and facilities, providing incentives for staff in underserved areas, and optimizing health technology to improve service coverage.
PER CAPITA CONSUMPTION ESTIMATION IN SURABAYA USING ENSEMBLE MODEL APPROACH Sutikno, Sutikno; Purnomo, Jerry Dwi Trijoyo; Harfianto, Unggul; Irfandi, Yoga Prastya; Anisa, Kartika Nur; Cahyoko, Fajar Dwi
MEDIA STATISTIKA Vol 16, No 2 (2023): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.16.2.170-181

Abstract

The categorization of the Low-Income Community category is based on the poverty indicators in the Multidimensional Poverty Index, including the dimensions of health, education, and living standards. The Proxy Means Test (PMT) can estimate household income or consumption by taking into account household conditions that are readily observable and cannot be manipulated. This method offers the advantage of being capable of determining both the poverty level of a household and the household's characteristics based on asset ownership and socio-demographic conditions. This study aims to estimate per capita consumption using OLS, Robust, Quantile, LASSO, and Ensemble methods. The application of these methods is intended to address various issues, including the presence of outlier data, multicollinearity, and uncertainties. The results indicate that none of the four methods used achieved the highest accuracy based on the MSE, MAE, and sMAPE criteria. Consequently, employing an ensemble model becomes essential to accommodate the element of uncertainty present in these four models. The application of the ensemble method is not only as a comparison between the models, but also as a means to capture the uncertainty contained in each model
Calibration Indonesian-Numerical Weather Prediction using Geostatistical Output Perturbation Sutikno, Sutikno; Cahyoko, Fajar Dwi; Putra, Fernaldy Wananda; Makmur, Erwin Eka Syahputra; Hanggoro, Wido; Taufik, Muhamad Rifki; Aza, Vestiana
Jurnal Meteorologi dan Geofisika Vol. 24 No. 2 (2023)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v24i2.1037

Abstract

Indonesian-Numerical Weather Prediction (INA-NWP) is a numerical-based weather forecast method that has been developed by the Meteorology, Climatology and Geophysics Agency. However, the forecast is still unable to produce accurate weather forecasts. Geostatistical Output Perturbation (GOP) is a weather forecast method derived from only one deterministic output. GOP takes into consideration the spatial correlation among multiple locations simultaneously. GOP is capable to identify spatial dependency patterns that are associated with error models. This study aims to obtain calibrated forecasts for daily maximum and minimum temperature variables using GOP at 10 meteorological stations in Surabaya and surrounding areas. The stages in performing temperature forecasts using GOP are obtaining regression coefficient estimators, then calculating empirical semivariograms and estimating spatial parameters. Based on several weather forecast indicators, such as RMSE and CRPS, GOP is better than INA-NWP in terms of precision and accuracy.
Co-Authors Aditya, Nanda Oktarina Aisy, Umniyah Rihadatul Aza, Vestiana CHOIRUN NISA Darusasi, Restutita Darusasi Harfianto, Unggul Hesteria Friska Armynia Subratha Irfandi, Yoga Prastya Jerry Dwi Trijoyo Purnomo Kartika Nur Anisa Kurniawati, Lucky Anggi Makmur, Erwin Eka Syahputra Nikmah, Annisatul Nurmaulid , Mitha Safira Nurmaulid, Mitha Safira Putra, Fernaldy Wananda Renggani, Puspa Restutita Darusasi Riefky, Muhammad Sutikno Sutikno Taufik, Muhamad Rifki Wido Hanggoro