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Pemodelan Spasial untuk Prediksi Perubahan Penggunaan Lahan di Kabupaten Kendal, Provinsi Jawa Tengah Nugroho, Albertus Erico Jerry Krisna; Mahdi, Imam; Utami, Siska Dwi; Wijayanti, Pipit; Noviani, Rita
Jurnal Pembangunan Wilayah dan Kota Vol 21, No 2 (2025): JPWK Volume 21 No. 2 June 2025
Publisher : Universitas Diponegoro Publishing Group, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/pwk.v21i2.70203

Dinamika perubahan penggunaan lahan akibat perkembangan wilayah di Kabupaten Kendal menimbulkan tantangan serius terhadap perencanaan tata ruang dan keberlanjutan lingkungan. Penelitian ini bertujuan untuk menganalisis perubahan penggunaan lahan pada periode 2019 hingga 2024 serta memprediksi distribusi penggunaan lahan pada tahun 2039 melalui pendekatan pemodelan spasial. Metode yang digunakan adalah Sistem Informasi Geografis dan model Cellular Automata–Markov Chain untuk mengklasifikasikan serta memproyeksikan transisi penggunaan lahan. Klasifikasi dilakukan dengan metode supervised classification berbasis maximum likelihood, dan evaluasi akurasi dilakukan menggunakan overall accuracy dan koefisien kappa. Model prediksi menunjukkan tingkat akurasi yang tinggi dengan nilai kappa sebesar 0,83. Hasil analisis menunjukkan adanya peningkatan signifikan pada lahan terbangun yang diproyeksikan mencapai 39% dari total luas wilayah pada tahun 2039, sedangkan lahan produktif seperti sawah dan tambak diperkirakan mengalami penurunan. Temuan ini membuktikan efektivitas pemodelan spasial dalam memberikan informasi berbasis data untuk mengantisipasi tren penggunaan lahan di masa depan. Penelitian ini memberikan dasar ilmiah bagi perumusan kebijakan pengelolaan lahan yang berkelanjutan di wilayah dengan pertumbuhan menengah seperti Kabupaten Kendal.

Tracker Software Assisted Guided Inquiry Learning Model to Improve High School Students' Graphical Representation Ability Aprilia, Ananda; Wijayanti, Pipit; Wilujeng, Insih; Aryono, Ichwan; Dwandaru, Wipsar
Jurnal Pendidikan Fisika Indonesia Vol. 21 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpfi.v21i1.3364

This research aimed to improve students' graphical representation using the guided inquiry learning model assisted by the Tracker software. The method used in this research was a pre-experimental study with a one-group pretest-posttest design. The data collection techniques used were observation, interview, and tests. The sample for this research was students of science class X at Public Senior High School. The analysis techniques were carried out using Wilcoxon and N-Gain test calculations. The results of the research showed that the Wilcoxon test produced a significance, which means that there were differences in the guided inquiry learning model assisted by Tracker software to improve the graphical representation abilities of high school students on the Work and Energy topic. The N-Gain test indicated that more than half of the students achieved a high category, while only a small number obtained the low category. Moreover, the N-Gain results for the two-question item indicators showed that most students were in the medium and high categories. Thus, students' graphical representation abilities can be improved using the guided inquiry learning model assisted by the Tracker software.

Peningkatan Resolusi Spasial Suhu Permukaan Daratan (Lst) Menggunakan Fusi Data Sentinel-2 dan Landsat di Surakarta Tiara Rahmi, Ardia; Wijayanti, Pipit; Dhani Pratiwi, Imasti
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i12.63477

Suhu Permukaan Daratan (LST) merupakan parameter biofisik esensial yang krusial untuk berbagai aplikasi dalam ilmu bumi, termasuk studi iklim mikro, hidrologi, dan ekologi perkotaan. Di Kota Surakarta, sebagai salah satu pusat perkotaan yang berkembang di Jawa Tengah, pemahaman tentang distribusi LST resolusi tinggi sangat vital untuk mitigasi efek pulau panas perkotaan (UHI) dan perencanaan kota yang berkelanjutan. Meskipun data LST dari satelit seperti Landsat TIRS telah tersedia, resolusi spasial 30 meter atau 100 meter seringkali tidak memadai untuk analisis detail pada skala lokal yang heterogen seperti lingkungan perkotaan Surakarta. Penelitian ini mengembangkan metode downscaling LST menjadi resolusi spasial 10 meter menggunakan pendekatan berbasis pembelajaran mesin dengan algoritma Random Forest, diimplementasikan dalam platform komputasi awan Google Earth Engine(GEE). Data Landsat LST digunakan sebagai variabel dependen (label), sementara fitur-fitur prediktor diekstraksi dari citra multispektral Sentinel-2 (band spektral dan indeks turunan) dan data ketinggian Digital Elevation Model (DEM) dari SRTM. Proses pemilihan fitur dilakukan secara cermat berdasarkan koefisien determinasi (R^2) individual terhadap LST dan analisis matriks korelasi antar fitur untuk meminimalkan redundansi. Model dilatih menggunakan tiga fitur terpilih: B8 (Near-Infrared) dari Sentinel-2, serta variabel dryness dan greenness yang diturunkan, yang terbukti memiliki kepentingan relatif yang seimbang dalam menghasilkan metrik kinerja model. Hasil validasi model internal menunjukkan kinerja yang kuat dengan koefisien determinasi (R^2) sebesar 0.6187 dan Mean Absolute Error (MAE) sebesar 0.8312 Celcius. Untuk validasi eksternal, pengukuran suhu permukaan lapangan dilakukan di 60 titik sampel di Kota Surakarta pada periode yang sama. Perbandingan data LST prediksi model dengan data lapangan menunjukkan Root Mean Square Error (RMSE) sebesar 1.05 Celcius, MAE 0.88 Celcius, dan R^20.75, yang mengkonfirmasi akurasi dan presisi model. Peta LST 10 meter yang dihasilkan berhasil menggambarkan variasi spasial suhu permukaan dengan detail signifikan di Kota Surakarta, memungkinkan identifikasi fenomena termal mikro seperti pulau panas perkotaan pada skala yang sebelumnya sulit dicapai. Penelitian ini berkontribusi substansial pada penyediaan data LST beresolusi tinggi yang akurat untuk mendukung analisis lingkungan yang lebih mendalam dan pengambilan keputusan yang lebih tepat di Kota Surakarta.

Landslide Hazard Mapping using Weight Overlay Based-GIS with Multi-criteria Evaluation Techniques in Tawangmangu District, Indonesia Wijayanti, Pipit; Sholeh, Sofyan; Muzaqi, Fathi
Geosfera Indonesia Vol. 10 No. 1 (2025): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v10i1.44539

Landslides are natural events that can be worsened by human activities, leading to significant destruction of life and property. In Tawangmangu District, situated on the slopes of Mount Lawu, the landslide risk is amplified due to factors such as volcanic soil, steep terrain, and high rainfall. This research seeks to map landslide hazards in the area by utilizing a Geographic Information System (GIS) and the Analytical Hierarchy Process (AHP), combining both static and dynamic factors contributing to landslide occurrences. The study considers seven critical factors: slope, distance from roads, geology, land use, soil type, rainfall, and proximity to geological faults. Expert opinions are used to assign weights to these factors, which are then integrated into a GIS model to assess susceptibility to landslides. The area is classified into five risk zones. The results show that 21.97% of the region faces high and very high risks, while 39.57% is moderately vulnerable. The highest-risk areas are those with steep slopes and significant human activity, such as road construction and land-use changes for tourism. Model validation, comparing the predicted landslide zones with actual landslide locations, shows that over 75% of landslides occurred in high and very high-risk areas, confirming the model's accuracy. This study underscores the importance of sustainable land use planning, effective infrastructure management, and vegetation preservation in reducing landslide risks. Future mitigation efforts should focus on monitoring land use changes, strengthening vulnerable infrastructure, and enhancing early warning systems to minimize further landslide damage in the region.

Analysis of Urban Form Dynamics in The Suburbs of Surakarta City 2013-2023 Marfu'ah, Istiyanti Nur; Novani, Rita; Wijayanti, Pipit; Susilawati, Siti Azizah
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.44499

Urban Form has become necessary for city planning management to see the sustainability of a city. A better understanding of different urban forms is imperative to facilitate the evolution of cities towards a more sustainable urban development trajectory in the future. The study aims to analyze the dynamics of urban form and the changes in land cover within the peri-urban area of Surakarta City, which is directly influenced by the development of Surakarta City. The analysis was conducted from a landscape ecology perspective, employing a spatial metrics approach at the landscape level to assess the dynamics of urban form using quantitative descriptive, including a spatial approach. A similar approach was adopted at the class level in order to examine the dynamics of land cover changes. The results of the image analysis were validated using the Kappa index, yielding an image accuracy level of 0.86 (86%). The results of this study show that the urban form in the peri-urban area of Surakarta City tends to move towards a compact urban form. Meanwhile, each land cover, vegetation, and water body become increasingly fragmented, with areas becoming narrower as time passes. Built-up and agricultural land are becoming more compact and concentrated along with development. In conclusion, the dynamics of urban form in the peri-urban area of Surakarta City tends to lead to compact urban form.

Landslide Hazard Mapping using Weight Overlay Based-GIS with Multi-criteria Evaluation Techniques in Tawangmangu District, Indonesia Wijayanti, Pipit; Sholeh, Sofyan; Muzaqi, Fathi
Geosfera Indonesia Vol. 10 No. 1 (2025): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v10i1.44539

Landslides are natural events that can be worsened by human activities, leading to significant destruction of life and property. In Tawangmangu District, situated on the slopes of Mount Lawu, the landslide risk is amplified due to factors such as volcanic soil, steep terrain, and high rainfall. This research seeks to map landslide hazards in the area by utilizing a Geographic Information System (GIS) and the Analytical Hierarchy Process (AHP), combining both static and dynamic factors contributing to landslide occurrences. The study considers seven critical factors: slope, distance from roads, geology, land use, soil type, rainfall, and proximity to geological faults. Expert opinions are used to assign weights to these factors, which are then integrated into a GIS model to assess susceptibility to landslides. The area is classified into five risk zones. The results show that 21.97% of the region faces high and very high risks, while 39.57% is moderately vulnerable. The highest-risk areas are those with steep slopes and significant human activity, such as road construction and land-use changes for tourism. Model validation, comparing the predicted landslide zones with actual landslide locations, shows that over 75% of landslides occurred in high and very high-risk areas, confirming the model's accuracy. This study underscores the importance of sustainable land use planning, effective infrastructure management, and vegetation preservation in reducing landslide risks. Future mitigation efforts should focus on monitoring land use changes, strengthening vulnerable infrastructure, and enhancing early warning systems to minimize further landslide damage in the region.

Study Of Implementation Of Flood Risk Management (FRM) To Minimize The Impact Of Damage Caused By Flood Disaster Risk In A Region: Literature Review Ni’matussyahara, Dannis; Muryani, Chatarina; Wijayanti, Pipit
Social, Humanities, and Educational Studies (SHES): Conference Series Vol 5, No 4 (2022): Social, Humanities, and Educational Studies (SHEs): Conference Series
Publisher : Universitas Sebelas Maret

Banjir merupakan sebuah fenomena yang sering melanda hampir seluruh negara di dunia. Sebanyak 313 bencana alam besar (tidak termasuk penyakit epidemi) terjadi di seluruh dunia pada tahun 2020 yang melanda 123 negara. Di antara total 313 bencana ini sebanyak 193 kasus disebabkan oleh banjir. Penyebabnya beranekaragam berupa klasifikasi faktor alam dan juga faktor antropogenik. Metode atau pendekatan yang digunakan pada artikel ini berupa study pustaka dari beberapa literatur jurnal international. Berdasarkan data yang diperoleh, bencana banjir memberikan dampak yang sangat besar di bidang sosial, ekonomi, dan lingkungan pada wilayah terdampak. Untuk mengurangi dampak kerusakan dan kerugian akibat banjir tersebut beberapa negara di dunia menerapkan teknik mitigasi berupa Flood Risk Management (FRM). Hasil penelitian ini adalah Flood Risk Management sangat efektif dalam meminimalisir dampak banjir dengan langkah-langkah struktural dan non-strukturalnya. Pengetahuan mengenai tindakan Flood Risk Management ini perlu diketahui masing-masing pihak dan juga masyarakat agar dampak banjir dapat dikendalikan bersama.

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