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ANALISIS KESESUAIAN PENGGUNAAN LAHAN TAHUN 2022 TERHADAP RENCANA TATA RUANG WILAYAH KABUPATEN BOYOLALI Saifuddin, Muhammad; Danardono, Danardono
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 1 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.1.7

Abstract

Land use is defined as human intervention in natural and human-made resources with the aim of fulfilling spiritual and material needs. Land use is inseparable from the phenomenon of land use change. Boyolali District is certainly not exempt from the phenomenon of land use change. Land use conversion has an impact on the inconsistency between land use and its designated plan. This study aimed to analyze land use changes from 2011 to 2022 and assess the suitability of land use in 2022 with the spatial plan of Boyolali District. This study applied survey and spatial analysis methods. The overlay technique produces maps of land use changes and the suitability of land use in 2022 with the Rencana Tata Ruang Wilayah (RTRW = Regional Spatial Planning) of Boyolali District. The results of the research showed that Kabupaten Boyolali experienced a land use conversion of 210.74 km2. Kecamatan Juwangi had the largest change in land use, covering an area of 30.37 km2, while Kecamatan Banyudono had the smallest change of 1.05 km2. The suitability of land use in 2022 with the Rencana Tata Ruang Wilayah (RTRW = Regional Spatial Planning) of Boyolali District indicates a suitable class covering an area of 797.24 km2, while an unsuitable class covers an area of 297.15 km2.
Pendampingan Drone Mapping Untuk Membantu Mitigasi Bahaya Banjir Rob di Kawasan Pesisir Kabupaten Tegal, Jawa Tengah Saputra, Aditya; Danardono, Danardono; Wibowo, Afif Ari; Surachman, Dedi; Altair, Garin Rachmad; Al-Ghowazi, Sholakhuddin Akhmad; Natsir, Muhammad
Abdi Geomedisains Vol. 5, No. 1, June 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/abdigeomedisains.v5i1.3374

Abstract

The phenomenon of tidal flood in the northern coastal areas of Java Island, which frequently occurs nowadays, is likely a consequence of rising sea levels due to global warming. The phenomena of urbanization and industrialization in the northern coastal areas of Tegal Regency can also contribute to the increase in built-up areas, adding pressure to the land surface in the coastal regions. Additionally, intensive groundwater extraction is occurring in densely populated coastal areas due to various activities. The high concentration of industrial and residential zones along the coast of Tegal Regency, coupled with extensive land subsidence due to intensive water abstraction, can lead to subsidence phenomena. The combination of rising sea levels and land subsidence can exacerbate the impact of tidal floods, making them more widespread and severe. The coastal areas of Tegal Regency are among those frequently affected by tidal floods. Analyzing tidal floods is crucial for integrated coastal management to support regional development. Assistance in developing a tidal flood mitigation plan in this coastal area is instrumental for local governments in planning and spatial arrangement in Tegal Regency. Support has been provided to local authorities, including BAPPEDA and Litbang Tegal Regency, to plan spatial arrangements in the northern coastal areas of Tegal Regency. The assistance activities include drone photography in the most severely affected areas, such as Kramat District. Additionally, the team periodically measures elevation to help local governments identify the potential occurrence of land subsidence. Furthermore, a Forum Group Discussion has been conducted to formulate the most suitable mitigation plan considering the conditions in Tegal Regency.
Perbandingan Iuran Normal Pensiun Metode Entry Age Normal dan Projected Unit Credit dengan Suku Bunga CIR (Cox Ingersoll Ross) Marwinda, Tyas Dwi Nurta; Danardono, Danardono
JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Vol 10, No 2 (2024)
Publisher : Fakultas Keguruan dan Ilmu pendidikan (FKIP) Universitas Labuhan Batu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpms.v10i2.5881

Abstract

Perhitungan iuran normal pensiun dengan menggunakan metode Entry Age Normal (EAN) dan Projected Unit Credit (PUC) dengan mempertimbangkan fluktuasi suku bunga yang digambarkan oleh model Cox Ingersoll Ross (CIR). Model CIR adalah model matematika yang dirancang untuk memproyeksikan suku bunga di masa depan dengan mempertimbangkan sifat mean reversion dan non-negativity. Model ini memberikan dasar yang lebih baik untuk menghitung iuran normal pensiun, karena memungkinkan perhitungan yang lebih akurat tentang tingkat pengembalian yang diharapkan pada dana pensiun di masa depan. Metode EAN digunakan untuk mencari nilai sekarang manfaat pensiun sesuai dengan iuran normal saat mulai masuk kepesertaan. Sebaliknya, metode PUC membagi total manfaat pensiun pada usia pensiun normal dengan keseluruhan masa kerja untuk menghasilkan satuan unit manfaat pensiun, yang kemudian dialokasikan ke setiap tahun masa kerja yang telah dijalani. Parameter model CIR akan dihitung dengan menggunakan teknik estimasi kuadrat terkecil bersyarat.  
Criteria For Limiting Perpetrators And Victims In Pornography Crime Danardono, Danardono; Agustanti, Rosalia Dika
DE LEGA LATA: JURNAL ILMU HUKUM Vol 10, No 1 (2025): Januari-Juni
Publisher : Universitas Muhammadiyah Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/dll.v10i1.22694

Abstract

The development of information and communication technology has had a positive impact on people's lives, but over time the forms of criminal acts have become increasingly diverse, from traditional to modern, one of which is the Crime of Pornography. The problem is how the factors influence the crime of pornography and what are the criteria for perpetrators and victims in the crime of pornography. This study uses a normative legal method with a statutory and conceptual approach. The result is that there are criteria for limiting perpetrators and victims in the crime of pornography, which can be said to be a perpetrator if everyone has been proven to produce, make, reproduce, duplicate, distribute, broadcast, import, export, offer, trade, rent and distribute pornography as regulated in the Pornography Law. Furthermore, it can be said to be a victim if someone becomes the object of a crime of Pornography, in addition, the victim is a person who experiences physical, mental, and/or economic suffering caused by a crime. A victim can also be said to be a perpetrator if he gives consent to the occurrence of a crime of pornography related to him. Therefore, there needs to be an update, especially in the Pornography Law which regulates the criteria for limiting perpetrators and victims, such as a victim can become a perpetrator if he/she agrees to commit a pornographic crime in addition to the perpetrator committing the crime as in Article 4 paragraph (1) of the Pornography Law. Thus, there needs to be a change in the Pornography Law to emphasize the role and limitations of perpetrators and victims so that this can provide legal certainty and benefits to perpetrators and victims of pornographic crimes
Utilizing Open Access Spatial Data for Flood Risk Mapping: A Case Study in the Upper Solo Watershed Jumadi, J; Danardono, Danardono; Priyono, Kuswaji Dwi; Roziaty, Efri; Masruroh, Heni; Rohman, Arif; Amin, Choirul; Hadibasyir, Hamim Zaky; Fikriyah, Vidya N.; Nawaz, Muhammad; Sattar, Farha; Lotfata, Aynaz
Geoplanning: Journal of Geomatics and Planning Vol 11, No 2 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.2.189-204

Abstract

Indonesia is experiencing a rise in natural disasters due to its geographical position within a tropical region, with the Upper Solo River watershed exhibiting a heightened risk of flooding. This region has already suffered numerous floods due to excessive precipitation and insufficient drainage. Susceptibility, hazard, and risk studies have been conducted to investigate this phenomenon but have been limited to specific regions within the catchment area. This study aims to construct a GIS-based flood risk model using Open-Access Spatial Data (OASD) based on diverse physical characteristics, urbanization levels, and population. We used several OASD, including SRTM, Sentinel 2 MSI, GPM v6, NASA-USDA Enhanced SMAP Global Soil Moisture Data, GHS-SMOD R2023A - Global Human Settlement Layers, and GHSL: Global Population Surfaces 1975-2030 (P2023A). The model integrates the risk parameters to identify flood risk using a weighted overlay in ArcGIS. The results demonstrate spatial heterogeneity in flood risk throughout the watershed. The result also reveals that Surakarta City, with a high proportion of its area in the 'High' (57.3%) and 'Very High' (29.54%) risk categories, is at the highest risk of flooding within the watershed. The study enhances understanding of this topic by comprehensively evaluating flood hazards, vulnerabilities, and risks. It highlights the significance of utilizing low-cost OASD to improve flood preparedness and response strategies.
Analysis of Spatial Distribution and Factors Influencing the Location of Tofu and Tempe Traders in the Periphery Area Market of Surakarta City in Supporting the Achievement of the SDGs Sunariya, M Iqbal Taufiqurrahman; Danardono, Danardono; Fikriyah, Vidya Nahdhiyatul; Arini, Maya Intan; Sulistyoningsih, Putri; Faridah, Rahma Afifah Nur; Ditasari, Sinta Rahma; Salsabilla, Tiara Zahra; Ardana, Viennara Zahwa Gladies
International Journal for Disaster and Development Interface Vol. 4 No. 2 (2024): October 2024
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53824/ijddi.v4i2.89

Abstract

Peripheral areas are areas on the outskirts of a city that usually have the structure and characteristics of a combination of village and city, both socially, physically, economically, and culturally. The outskirts of Surakarta City include the surrounding regency i.e., Sukoharjo, Boyolali, Karanganyar, Wonogiri, Klaten, and Sragen Regency. These areas have potential tofu and tempeh industry. This research was conducted to determine the spatial distribution patterns and factors influencing the location of tofu and tempeh traders. Data was collected using a questionnaire and analyzed using the average nearest-neighbor pattern. The results show that the spatial distribution pattern is dispersed. Dispersed means that each area is evenly distributed and far from other areas. This happens because the ANN (Average Nearest Neighbor) value is >1. The influencing factor for the location of tofu and tempeh traders in the markets is the location chosen relatively close to where tofu and tempeh traders live so that the distance is not too far. The location was chosen because it has been running a business for generations. The location has good facilities and cleanliness, making it comfortable to carry out buying and selling transactions. This place is busy with buyers from various regions
PENDAMPINGAN PENYUSUNAN PETA DESA PAGERANDONG, KECAMATAN KALIGONDANG, KABUPATEN PURBALINGGA Saputra, Aditya Saputra; Danardono, Danardono; Sunariya, M Iqbal Taufiqurrahman; Hussein, Stevie; Setiawan, Ilyas Nur; Farida, Rahma Afifah Nur
Abdi Geomedisains Vol. 5, No. 2, December 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/abdigeomedisains.v5i2.7089

Abstract

Since the emergence of the Minister of Villages, Development of Disadvantaged Regions and Transmigration Regulation Number 4 of 2015 concerning the establishment, management, management and dissolution of Village-Owned Enterprises (BUMDES), villages have been indirectly given full authority to manage and develop their potential to become a successful village. independent with a high level of original village income. Each village will be allocated a certain amount of funds from the central government to be managed through BUMDES. Careful planning is needed to manage the potential and funds mandated by the central government. One of the first steps in planning is to map village boundaries. Many villages do not understand how to map village boundaries. Thus, assistance is needed, including outreach regarding village boundaries. Assistance in preparing the village map supports the preparation of the village master plan in the next process. The hope is that with this activity the village will be able to carry out village mapping and identify potential as a first step in preparing a master plan. The location chosen as the place of service is Pagerandong Village, Kaligondang District, Purbalingga Regency. Pagerandong Village has potential agricultural land that needs to be integrated into a thorough planning in the form of a master plan. Based on the results of the study and accompanying village maps, it is known that there are three main activities that have the potential to be developed, namely, agriculture with solar pump irrigation.
Peningkatan Ketrampilan Siswa dalam Menghadapi Perkembangan Keilmuan Geografi Era 4.0 Melalui Pengenalan Drone Mapping Danardono, Danardono; Sunariya, M. Iqbal T.; Fikriyah, Vidya Nahdiyatul
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 5 No 1 (2021): Februari
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v5i1.4356

Abstract

Munculnya era baru revolusi industri 4.0, menuntut tiap bidang keilmuan memiliki perkembangan teknologi yang tinggi, mutakhir, mudah diakses, dan berbasis internet. Tuntutan era baru ini juga mengharuskan bidang keilmuan geografi semakin berkembang menyesuaikan zaman. Perkembangan teknologi di bidang geografi yang saat ini berkembang sebagai bentuk tuntutan era revolusi 4.0 yaitu teknologi drone. Teknologi drone atau yang dikenal dengan pesawat tanpa awak dapat dimanfaatkan untuk pengambilan data dasar dalam kajian-kajian geografi. Di sisi lain, perkembangan teknologi ini belum terintegrasikan dengan silabus pendidikan pada tingkat pendidikan menegah sehingga pembelajaran geografi di tingkat ini cenderung masih bersifat teoretis dan kurang aplikatif. Padahal tuntutan kebutuhan seorang pembelajar geografi harus paham dan mengerti mengenai perkembangan teknologi ini. Adanya kegiatan sosialisasi dan pelatihan mengenai perkembangan teknologi di bidang geografi utama teknologi drone dapat menginisiasi diintegrasikannya pengetahuan mengenai perkembangan teknologi utamanya drone dalam pembelajaran di tingkat menengah. Hal ini nantinya dapat digunakan untuk memicu perubahan sistem pembelajaran geografi di tingkat menengah yang bersifat teoretis menjadi lebih aplikatif. Selain itu, lulusan atau produk dari tingkat menengah dapat memiliki kompetensi dan ketrampilan yang sesuai dengan tuntutan era revolusi industri 4.0 utamanya pada bidang kajian geografi.Kata Kunci: geografi; teknologi drone; pembelajaran; revolusi 4.0. Improving Student Skills in Facing Geographic Scientific Development in Era 4.0 through the Introduction of Drone Mapping ABSTRACT The emergence of a new era of the industrial revolution 4.0 requires each scientific field to have high technological development, easily accessible, and internet-based. The demand of this new era also requires that the field of geographic science developed according to the times. The development of technology in the field of geography which is currently developing as a form of the demands of the revolution era 4.0 is the drone technology. Drone technology, known as drone aircraft, can be used to collect basic data in geography studies. On the other hand, the development of this technology has not been integrated with the syllabus of education at the mid-level education so that geography learning at this level tends to be theoretical and less applicable. Though the demands of the needs of a geography learner must understand and understand about this technological development. The existence of socialization activities and training on technological developments in the main geographic fields of drone technology can initiate the integration of knowledge about the development of technology, especially drones in learning at the secondary level. This can later be used to trigger changes in geographic learning systems at the secondary level that are theoretical to be more applicable. In addition, graduates or products from the middle level can have competencies and skills that are in accordance with the demands of the industrial revolution era 4.0, especially in the field of geography studies.Keywords: drone mapping; geography; learning system; revolution 4.0.
Pemanfaatan Penginderaan Jauh untuk Monitoring Dinamika Spasiotemporal Kesehatan Ekosistem Mangrove di Segara Anakan, Cilacap, Jawa Tengah Danardono, Danardono; Mulyani, Nurul Fauzia; Wibowo, Afif Ari; Arijuddin, Basyar Ihsan
Jurnal Ilmu Lingkungan Vol 23, No 4 (2025): July 2025
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.23.4.923-936

Abstract

Mangrove Segara Anakan merupakan salah satu ekosistem mangrove terluas di Pulau Jawa yang memiliki manfaat secara ekologi dan ekonomi. Pemanfaaatan ekosistem mangrove mendorong meningkatnya aktifitas manusia yang menyebabkan terjadinya penurunan luas ekosistem mangrove. Adanya aktivitas manusia dan perubahan lingkungan alami dapat menyebabkan degradasi yang pada akhirnya akan mempengaruhi kondisi kesehatan ekosistem mangrove. Tujuan dari penelitian ini yakni memetakan perubahan sebaran keberadaan dan kesehatan ekosistem mangrove di Segara Anakan, Kabupaten Cilacap pada tahun 2018 dan 2023. Sebaran ekosistem mangrove dimodelkan dengan metode klasifikasi Support Vector Machine (SVM). Uji akurasi dengan metode confussion matrix dilakukan pada hasil model SVM. Kesehatan ekosistem mangrove didekati dengan metode Mangrove Health Index (MHI) menggunakan empat indeks vegetasi yakni NBR, GCI, SIPI, dan ARVI. Hasil penelitian menunjukkan luasan ekosistem mangrove mengalami penurunan 883,28 Ha pada rentang tahun 2018-2023. Penurunan disebabkan karena adanya sedimentasi sungai dan perubahan lahan mangrove menjadi tambak. Kondisi kesehatan ekosistem mangrove tahun 2018 dan 2023 didominasi oleh kondisi kesehatan hutan mangrove sedang  dengan luas 6.765,52 Ha pada tahun 2018 dan 5.058,36 Ha tahun 2023. Perubahan kesehatan ekosistem mangrove menjadi sangat baik banyak terjadi pada wilayah dekat Kota Cilacap dimana terdapat aktivitas konservasi dan rehabilitasi yang dilakukan oleh komunitas bersinergi dengan perusahaan dan pemerintah setempat.
Optimization hybrid weighted switching filtering (OHWSF) using SVD and SVD++ for addressing data sparsity Muhammad, Malim; Gunardi, Gunardi; Danardono, Danardono; Rosadi, Dedi
International Journal of Advances in Intelligent Informatics Vol 11, No 3 (2025): August 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v11i3.1796

Abstract

Recommender systems are crucial for filtering vast amounts of digital content and providing personalized recommendations; however, their effectiveness is often hindered by data sparsity, where limited user-item interactions lead to reduced prediction accuracy. This study introduces a novel hybrid model, Optimization Hybrid Weighted Switching Filtering (OHWSF), to overcome this challenge by integrating two complementary strategies: Hybrid Weighted Filtering (HWF), which linearly combines predictions from SVD and SVD++ using a weighting parameter (α), and Hybrid Switching Filtering (HSF), which dynamically selects predictions based on a threshold rating (θ). The OHWSF framework introduces a tunable optimization mechanism governed by the parameter σ₁ to adaptively balance weighting and switching decisions based on actual rating deviations. Unlike existing static or manually tuned hybrid methods, the proposed model combines dynamic switching with weight optimization to minimize prediction error effectively. Extensive experiments on four benchmark datasets (ML-100K, ML-1M, Amazon Cell Phones Reviews, and GoodBooks-10K) demonstrate that OHWSF consistently outperforms traditional collaborative filtering (UBCF, IBCF), matrix factorization techniques (SVD, SVD++), and standalone hybrid models across all evaluation metrics (MAE, MSE, RMSE). The model achieves optimal performance within the range of α = 0.6–0.9 and θ = 1.0–1.5, demonstrating robustness across varying sparsity levels. Notably, OHWSF achieves up to 742.16% MAE improvement over the UBCF model, with significantly reduced training time compared to SVD++. These findings confirm that OHWSF significantly improves prediction accuracy, scalability, and adaptability in sparse data environments. This research contributes a flexible, interpretable, and efficient hybrid recommendation framework suitable for real-world applications.