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All Journal TEKNIK Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Teknik PWK Geoplanning : Journal of Geomatics and Planning The Indonesian Journal of Planning and Development Geo-Image Journal Journal of Architectural Design and Urbanism Jurnal Litbang: Media Informasi Penelitian, Pengembangan dan IPTEK Jurnal Riset Informatika Jurnal Penginderaan Jauh Indonesia Jurnal Penginderaan Jauh Indonesia
Sejati, Anang Wahyu
Department Of Urban And Regional Planning, Faculty Of Engineering, Universitas Diponegoro
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Social Sciences

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Mapping the Epidemic: Did Population Density and Mobility Affect the Number of Covid-19 Cases? Evidence from Yogyakarta City and Its Surrounding Areas Muzaki, Ahmad Jihan; Sejati, Anang Wahyu
The Indonesian Journal of Planning and Development Vol 8, No 1 (2023): February 2023
Publisher : Department of Urban and Regional Planning, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijpd.8.1.%p

Abstract

Mobility reduction is believed to effectively reduce the spread of Covid-19 disease by lowering the SARS-COV-2 transmission in the population. A big data platform consists of a big scale of anonymized smartphone location data collected by Citydash.ai and presented as mobility data during the pandemic time to help humanity control the spreading of Covid-19 in Indonesia. This research aims to find the relation between mobility and population density to the spread of Covid-19 in Yogyakarta City and its surrounding areas, Indonesia, by using GIS to visualize the mobility, population density and Covid-19. This research also used a simple correlation method by making a cross-tabulation of the data to verify the relation between variables. This research found that mobility into Yogyakarta City and its surrounding area relates to its Covid-19 spread. At the same time, this research also found that mobility inside the area, mobility out of the area, and population density did not relate to the expansion of Covid-19 in Yogyakarta City and its surrounding areas. This anomaly should be considered in the Covid-19 mitigation or similar diseases to help public health, data-driven decision-making, and improving community response to Covid-19.
Smart Disaster Governance in Reducing Flood Disaster Risk in Pati Regency based on Geospatial Analysis Arsynindia, Luthfia Diah; Sejati, Anang Wahyu
The Indonesian Journal of Planning and Development Vol 9, No 2 (2024): October 2024
Publisher : Department of Urban and Regional Planning, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijpd.9.2.%p

Abstract

Hydrometeorological disasters are disasters that often occur in Indonesia and the frequency of these disasters has increased and has an impact on human safety. So, the need for disaster management that can assist in disaster risk reduction. The existence of a smart city concept can help in changing disaster governance to be smart and can help in increasing community resilience to disasters. One of the districts that often experience disasters and has implemented the smart city concept is Pati Regency. Disaster events in Pati Regency in 2016-2020 experienced an increase of approximately 148 incidents. Judging from the increase in disaster events, there is a need for clear disaster management in reducing risk at each stage (pre, during and after the disaster). The application of the smart city concept in Pati Regency is expected to help with this. So far, there has been no previous research related to smart disaster management in Pati Regency. So, this research needs to be done because in disaster risk reduction it is necessary to have intelligent disaster management. The purpose of this study was to determine the parameters of smart disaster management and priority locations in reducing the risk of flood disasters in Pati Regency. This study uses quantitative methods with scoring techniques to obtain intelligent disaster management parameters.
Utilization of GIS for Ecosystem-Based Adaptation with Community Participation in Flood Disaster Management in Pati Regency Wijaya, Muhammad Indra Hadi; Sejati, Anang Wahyu; Arsynindia, Lutfia Diah; Junjungan, Reinhart Christopher; Kardiman, Maman Eka
Jurnal Litbang: Media Informasi Penelitian, Pengembangan dan IPTEK Vol 21, No 1 (2025): Juni
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah (BAPPERIDA) Kabupaten Pati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33658/jl.v0i0.465

Abstract

ENGLISHWatersheds are unified landscapes vulnerable to hazards like floods, often exacerbated by factors such as land-use changes and reactive disaster management. This study analyzes land cover changes and their spatial relationship to flood-prone areas using an Ecosystem-based Adaptation (EbA) approach. It integrates remote sensing with participatory methods to enhance disaster risk reduction.The research adopted a mixed-methods design, combining spatial analysis of Landsat 8 imagery (2000–2023) with qualitative data from focus group discussions (FGDs), participatory mapping, and interviews involving local communities and government stakeholders. Key variables analyzed included land cover types, spatial extent of change, proximity to rivers, elevation, and delineated flood hazard zones. The study focused on the Silugonggo River Basin in Pati Regency, Indonesia, a high-risk flood area. Results reveal a significant increase in built-up areas (to 17.18%) and a reduction in vegetation cover (forest area decreased to 7.57%), particularly in the midstream, contributing to increased runoff and flood risk. Community engagement was crucial in identifying localized flood causes and proposing adaptive strategies such as reforestation, riparian buffer zones, and improved drainage. These findings emphasize the importance of integrating EbA and community participation into disaster risk reduction planning. INDONESIADaerah aliran sungai (DAS) merupakan bentang alam yang menyatu dan rentan terhadap bahaya seperti banjir, yang sering diperparah oleh faktor-faktor seperti perubahan tata guna lahan dan penanggulangan bencana yang reaktif. Penelitian ini menganalisis perubahan tutupan lahan dan hubungan spasialnya dengan daerah rawan banjir menggunakan pendekatan Adaptasi Berbasis Ekosistem (EbA). Pendekatan ini mengintegrasikan penginderaan jauh dengan metode partisipatif untuk meningkatkan pengurangan risiko bencana. Penelitian ini mengadopsi desain metode campuran, menggabungkan analisis spasial citra Landsat 8 (2000–2023) dengan data kualitatif dari diskusi kelompok terfokus (FGD), pemetaan partisipatif, dan wawancara yang melibatkan masyarakat lokal dan pemangku kepentingan pemerintah. Variabel-variabel utama yang dianalisis meliputi jenis tutupan lahan, luas spasial perubahan, kedekatan dengan sungai, elevasi, dan zona bahaya banjir yang telah dipetakan. Studi ini berfokus pada DAS Silugonggo di Kabupaten Pati, Indonesia, sebuah daerah dengan risiko banjir tinggi. Hasil penelitian menunjukkan peningkatan signifikan pada area terbangun (menjadi 17,18%) dan penurunan tutupan vegetasi (luas hutan berkurang menjadi 7,57%), terutama di bagian tengah DAS, yang berkontribusi pada peningkatan limpasan dan risiko banjir. Keterlibatan masyarakat sangat penting dalam mengidentifikasi penyebab banjir lokal dan mengusulkan strategi adaptasi seperti reboisasi, zona penyangga riparian, dan sistem drainase yang lebih baik. Temuan ini menekankan pentingnya mengintegrasikan EbA dan partisipasi masyarakat ke dalam perencanaan pengurangan risiko bencana.
Pengaruh Perubahan Tutupan Lahan Terhadap Emisi GRK pada Wilayah Cepat Tumbuh di Kota Semarang Dewa, Dimas Danar; Sejati, Anang Wahyu
Jurnal Penginderaan Jauh Indonesia Vol 1 No 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jpji.v1i1.254

Abstract

Artikel ini bertujuan menyampaikan hasil studi yang berupa perhitungan emisi gas rumah kaca (GRK) dari faktor perubahan tutupan lahan. Metode yang digunakan adalah spatio-temporal dengan penginderaan jauh yang didukung teknik klasifikasi Support Vector Machine dari Deztsaka Tools. Hasil yang diperoleh adalah perubahan tutupan lahan paling signifikan terjadi pada kelas tutupan lahan hutan dimana mengalami penurunan sebesar 1515,29 Ha (21%). Cadangan karbon pada kawasan cepat tumbuh mengalami penurunan sebesar 90.741,06 ton (68,58%) dan sebesar 22% kawasan melepaskan emisi GRK dengan jumlah lebih dari 1000 ton. Fenomea ini membutuhkan perhatian serius karena perubahan tutupan lahan sangat signifikan berpengaruh, sehingga upaya pengendalian melalui kebijakan penataan ruang mutlak diperlukan.
Co-Authors A'yun, Husnul Karimah Qurrata Adi Febrianto, Adi Agung Budi Sardjono Agung Sugiri Anik Sarminingsih, Anik Arsynindia, Lutfia Diah Arsynindia, Luthfia Diah atik suprapti Bayu Purwanto Bitta Pigawati Danar Dewa, Dimas Dewa, Dimas Danar Edward E. Pandelaki, Edward E. Henny Juliani, Henny Huwaida, Nurma Mediasri Imam Buchori Junjungan, Reinhart Christopher Jurike Winarendri Kardiman, Maman Eka Margarena, Candra Maryono Maryono Mochamad Arief Budihardjo Muzaki, Ahmad Jihan Pamungkas, Muhamad Rizal Fernandita Pramitasari, Angrenggani Sani, Muhammad Thariq SRI RAHAYU Sri Rahayu Syafrudin Syafrudin Syamsul Arifin Wati, Hessy Rahma Wijaya, Muhammad Indra Hadi Yudi Basuki