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Analisis Perubahan Tutupan Lahan Menggunakan Algoritma CART untuk Evaluasi Kesesuaian Lahan Terhadap RTRW Kabupaten Tangerang Ramadhan, Gheo Damai; Nugroho, Hary
Rekayasa Hijau : Jurnal Teknologi Ramah Lingkungan Vol 9, No 1 (2025)
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/jrh.v9i1.44-57

Abstract

ABSTRAKKabupaten Tangerang mengalami pertumbuhan penduduk pesat yang mendorong perubahan tutupan lahan. Rencana Tata Ruang Wilayah (RTRW) 2020 digunakan sebagai panduan pemanfaatan lahan, dengan klasifikasi utama: lahan terbangun, badan air, vegetasi, dan lahan terbuka. Penelitian ini menganalisis perubahan tutupan lahan menggunakan algoritma Classification and Regression Trees (CART) pada citra Sentinel-2A tahun 2019 dan 2023 di Google Earth Engine. Hasil menunjukkan peningkatan luas bangunan dan lahan terbuka masing-masing 19,866 km² dan 17,877 km², sementara vegetasi dan badan air menurun 33,446 km² dan 4,297 km². Akurasi klasifikasi mendapatkan 89,36% (2019) dan 90,29% (2023). Selain itu, kesesuaian tutupan lahan dengan RTRW meningkat 36,71 km² atau 4%. Hasil ini menunjukkan efektivitas metode CART dalam memantau perubahan tutupan lahan serta relevansinya dengan kebijakan tata ruang di Kabupaten Tangerang.Kata Kunci : Tutupan lahan; Rencana Tata Ruang Wilayah (RTRW), Google Earth Engine (GEE),Classification and Regression Trees (CART), Penginderaan jauh.ABSTRACTTangerang Regency is experiencing rapid population growth that is driving land cover change. The 2020 Regional Spatial Plan (RTRW) is used as a guide for land use, with the main classifications: built-up land, water bodies, vegetation, and open land. This study analyzed land cover change using the Classification and Regression Trees (CART) algorithm on 2019 and 2023 Sentinel-2A images in Google Earth Engine. The results showed an increase in building area and open land of 19.866 km² and 17.877 km² respectively, while vegetation and water bodies decreased by 33.446 km² and 4.297 km². The classification accuracy was 89.36% (2019) and 90.29% (2023). In addition, land cover conformity with the RTRW increased by 36.71 km² or 4%. These results demonstrate the effectiveness of the CART method in monitoring land cover change and its relevance to spatial policy in Tangerang District.Keywords: Land cover, Regional Spatial Plan (RTRW), Supervised Classification, Google Earth Engine (GEE), Classification and Regression Trees (CART), Remote sensing
Analisis Kerentanan Tanah Longsor Menggunakan Metode Frequency Ratio di Kabupaten Bandung Barat, Jawa Barat Nugroho, Danang Dwi; Nugroho, Hary
GEOID Vol. 16 No. 1 (2020)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v16i1.1663

Abstract

Kabupaten Bandung Barat adalah salah satu kabupaten di Provinsi Jawa Barat dengan potensi gerakan tanah yang tinggi, sehingga sangat rentan terhadap kejadian tanah longsor. Hal ini dipicu oleh kondisi topografi yang beragam dan memungkinkan kejadian ini akan terus terjadi di masa depan. Salah satu metode yang sering digunakan dalam pemetaan kerentanan tanah longsor adalah frequency ratio. Metode ini bertujuan untuk mengidentifikasi wilayah rentan tanah longsor berdasarkan data kejadian longsor di masa lalu yang pada gilirannya dapat dijadikan parameter untuk mitigasi bencana longsor. Metode ini diaplikasikan menggunakan aplikasi GIS dengan data-data sekunder seperti DEM, peta tutupan lahan, data curah hujan, peta geologi, dan peta klasifikasi tanah. Data tersebut merepresentasikan faktor-faktor yang memengaruhi tanah longsor yaitu kemiringan lereng, elevasi, arah kemiringan lereng, tutupan lahan, curah hujan, jenis tanah, jarak sesar, dan batuan geologi. Faktor-faktor tersebut ditumpangtindihkan menjadi peta raster (20 m) dan menghasilkan nilai frequency ratio. Nilai tersebut diklasifikasikan menjadi 5 zona kerentanan longsor yaitu tidak rentan, sedikit rentan, cukup rentan, rentan, dan sangat rentan. Hasil penelitian ini menunjukkan terdapat 7 faktor pengkondisi tanah longsor yang memengaruhi kerentanan tanah longsor. Hasil uji akurasi ini menghasilkan peta kerentanan tanah longsor dengan nilai akurasi sebesar 79,7% sehingga dapat diterapkan dalam upaya mitigasi tanah longsor. West Bandung regency is one of the districts in West Java Province with high potential for land movement, making it very vulnerable to landslide events. This is triggered by diverse topographic conditions and allows these events to continue to occur in the future. One of the methods often used in mapping landslide vulnerabilities is frequency ratio. This method aims to identify landslide-prone areas based on data on past landslide events that in turn can be used as parameters for landslide disaster mitigation. This method is applied using GIS application with secondary data such as DEM, land cover map, rainfall data, geological map, and land classification map. The data represents factors that affect landslides, namely slope, elevation, slope direction, land cover, rainfall, soil type, fault distance, and geological rocks. These factors are overlayed into raster maps (20 m) and produce frequency ratio values. These values are classified into 5 landslide vulnerability zones that are not vulnerable, slightly vulnerable, vulnerable enough, vulnerable, and highly vulnerable. The results of this study showed there are 7 factors of landslide conditioning that affect the vulnerability of landslides. This accuracy test resulted in a landslide vulnerability map with an accuracy value of 79.7% so that it could be applied in landslide mitigation efforts.
Assessing the impact of training samples overlap and density in random forest for landslide susceptibility mapping: Implications for degraded land management in Bandung Regency, Indonesia Nugroho, Hary; Sari, Dewi Kania; Safitri, Sitarani; Azmi, Naufal
Journal of Degraded and Mining Lands Management Vol. 12 No. 5 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.125.8933

Abstract

Landslide susceptibility mapping is essential for disaster mitigation and land management in degraded mountainous regions. Machine learning algorithms, particularly Random Forest (RF), have been increasingly applied due to their robustness in handling complex, non-linear relationships. However, classification performance is often affected by the quality of training samples, especially when landslide and non-landslide points exhibit spatial overlap. This study investigated how varying densities of fully overlapping samples influence RF performance in Bandung Regency, West Java, Indonesia, an area characterised by steep slopes, rapid land-use change, and post-mining degradation. Balanced datasets ranging from 50 to 700 samples per class were evaluated with hyperparameter tuning. The highest validation accuracy (89%) was achieved with 500 samples at a max_depth of 2, while training accuracy was approximately 10% lower, indicating the algorithm’s difficulty in separating overlapping classes. A more stable trade-off was obtained with 300 samples and a max_depth of 4, suggesting that moderate densities enhance generalisation. To translate these findings into practice, we propose an ensemble zoning and uncertainty mapping framework that integrates multiple model outputs to identify consensus zones for slope stabilisation, vegetation restoration, and adaptive spatial planning. This approach improves the reliability of susceptibility maps and provides actionable insights for managing degraded and landslide-prone landscapes.
Modification Of Impact Testing Tools For Research Of Aluminum Alloys Energy Absorption Profile Riyanta, Bambang; Nugroho, Hary; Rahman, Budi Nur
JMPM (Jurnal Material dan Proses Manufaktur) Vol. 8 No. 1 (2024): June
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.v8i1.21883

Abstract

One of the most popular materials used in industry is aluminum and its alloys. The aluminum manufacturing process is likely to undergo a welding process. Aluminum can be welded by gas or arc welding, but arc welding is more satisfactory. The welding process on aluminum alloys has the potential to present a situation similar to Age hardening. This research was conducted to dig deeper into the impact of welding on the second phase strengthening mechanism in several series of aluminum alloys using impact test equipment with the addition of a modified digital instrumentation device. Modifications were made to the GOTECH impact test equipment model Charpy impact test 0027 by changing the pendulum and adding a plate to the holder to conform to the ASTM E23-02a standard and adding digital instrumentation tools, including load cells, amplifiers, data acquisition, and power supply. The specimens used were aluminum 5052 and 6061 with variations of base metal and TIG welded V 60°. The results of the modified impact test equipment can display a graph of the impact energy absorption of each specimen. Comparison between the manual calculation of absorbed impact energy and digital calculation of 5052 base metal aluminum specimens has an average deviation of 11,716 J, 5052 welded specimens have an average deviation of 1.341 J, 6061 base metal specimens have an average deviation of 0.729 J, and 6061 welded specimens has a mean of 0.845 J.
Karakteristik Perlukaan Akibat Kekerasan Tumpul Dan Kekerasan Tajam Pada Kasus Kematian Di Instalasi Forensik Abdoel Wahab Sjahranie Samarinda Tahun 2019-2022 Vinna Dwi Hapsari; Nugroho, Hary; Putro, Heryadi Bawono
Jurnal Medika : Karya Ilmiah Kesehatan Vol 11 No 1 (2026): Jurnal Medika Karya Ilmiah Kesehatan
Publisher : ITKES Wiyata Husada Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35728/jmkik.v11i1.1642

Abstract

Samarinda, the capital of East Kalimantan, has the highest incidence of crimes against life, as reported by the Central Bureau of Statistics. This study seeks to delineate the attributes of blunt force and sharp force injuries in mortality cases at the forensic unit of Abdoel Wahab Sjahranie Regional Public Hospital, Samarinda, from 2019 to 2022, utilizing data from VeR reports. This is a retrospective descriptive study employing a total sampling technique, comprising 94 samples. Findings indicate that blunt force injuries accounted for the majority of fatalities. In blunt force cases, the majority were adults aged 26-45 years, predominantly male, with lacerations, primarily situated on the head and face. In cases of sharp force injuries, all victims were adults aged 26 to 45 years, comprising both males and females, and exhibited chop wounds, predominantly located on the head, face, neck, chest, and back. The majority of victims in incidents of death resulting from blunt and sharp force trauma were adult males aged 26-45 years, comprising of the total, with all victims being male. Lacerations constituted the predominant injury type, predominantly situated on the head and face. The study concludes that the predominant cases involved blunt force trauma, leading to wounds of the head and face, with male victims in the adult demographic being the most impacted. Keywords: Death cases, blunt force injuries, sharp force injuries