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Change Detection of Topographic Features using Iteratively Reweighted Multivariate Alteration Detection and Random Forest Classification for Partial Updating of Indonesian Topographic Map Purwati, Endang; Harintaka
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.6364

Abstract

The current demand for geospatial information is increasingly urgent across various sectors, making the provision of base maps a top priority that is currently being accelerated. However, a major challenges faced today is the outdated nature of the Indonesian Topographic Map (Peta Rupabumi Indonesia/RBI), many of which were produced several years ago and are now considered obsolete. Updating the data is essential to ensure the validity of geospatial information in accordance with current conditions. At present, the detection of change in topographic feature is still largely conducted manually, thereby necessitating the exploration of methods to accelerate partial map updating processes. This study implements a change detection approach using Iteratively Reweighted Multivariate Alteration Detection (iMAD) method, in combination with Random Forest (RF) and Rule-based Classification. The iMAD technique is relatively insensitive to radiometric differences between acquisition times and simultaneously considers all spectral bands. Its iterative process improves accuracy, making it suitable for change detection in partial mas updates. Random Forest Classification supports the interpretation of iMAD results by providing information on changes in land cover types. The iMAD results indicate that the majority of detected changes fall under the ambiguous category (49,18%), followed by unchanged pixels (24,78%), significant changes (20,91%), and agricultural changes (5,13%). Overall accuracy of Random Forest Classification reached 90,45 % in 2019 and 93,20 % in 2023. The Kappa coefficient was 0,8920 and 0,8936 for 2019 and 2023, respectively. The final change detection results, after applying rule-based classification show that 19,70% of the study area experienced change, while 80,30% remained unchanged. Therefore, this approach presents an effective and efficient alternative for conducting partial updates of the Indonesian Topographic Map (RBI).
Swiftlet Bird's Nest (Collocalia fuciphaga) from West Sumatra as a Functional Food and Its Nutritional Content Putra, Aditya Willy; Purwati, Endang; Marlina
Andalasian Livestock Vol. 1 No. 1 (2024): ALive
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/alive.v1.n1.p9-17.2024

Abstract

Functional foods contain biologically active components and compounds that have physiological effects on the human body, such as promoting health and decreasing the risk of sickness. The swiftlet, which belongs to the Collocalini family, is an insect-eating bird that migrates across the Indian Ocean, Southeast Asia, and northern Australia to the Pacific Ocean. Swiftlet bird's nests (SBN) contain protein, fats, carbohydrates, iron, calcium, phosphorus, inorganic salts, fiber, and water. The objective of this study is to determine the nutritional content of swiftlet bird nests in different regions of West Sumatra. Samples of swiftlet bird's nests (SBN) were collected from Padang City (PD), Bukittinggi City (BK), and Pesisir Selatan Regency (PS). Nutritional content was analyzed using proximate methods, including moisture, protein, and fat, and the nitrite concentration was measured using UV-Vis spectrophotometry. The study found that SBN in West Sumatra contains 47.65–50.55% protein, 1.48–2.47% fat, 21.77–22.77% water, and 24.75–32.72 ppm nitrite. The results indicate that the nutritional content varies among the samples, and the protein content found in SBN is higher, making it suitable for use as a functional food. Additionally, SBN has many health benefits and biological activities, such as mitogenic response and cell growth, enhanced immunity, and improved bone strength.
TINGKAT PAPARAN KEBISINGAN AKTIVITAS PENERBANGAN PESAWAT UDARA PADA KAWASAN PEMUKIMAN PENDUDUK KELURAHAN TAFURE DAN TARAU KECAMATAN TERNATE UTARA Rachman, Nurdiani; Robo, Tamrin; Adjam, Syarifuddin; Purwati, Endang
Jurnal GeoCivic Vol 6, No 1 (2023): Edisi April
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/geocivic.v6i1.6193

Abstract

The settlements in the Tafure sub-district and the Tarau sub-district are residential areas that are right around Sultan Babullah Airport with a residential distance from the airport of only about 1 (one) meter, this makes the people living in these areas always exposed to noise. This study aims to determine the noise level of aircraft activities in residential areas of Tafure and Tarau sub-districts, and to determine the role of environmental factors in the distribution of noise. The method used is descriptive quantitative where the data obtained is analyzed to determine the equivalent value of noise using the Leq (Equivalent Continous Noise Level) formula to see a comparison of noise levels from aircraft flight activities and make a percentage diagram. The results showed that the noise level in the Tafure sub-district during landing was 63.7 dB-75.3 dB and during take-off was 62.7 dB-74.1 dB. Whereas in the kelurahan, the noise level when the plane is landing is 63.8 dB-72.9 dB and during take-off is 65.9 dB-71.1 dB. The noise level in the two kelurahans has exceeded the noise threshold value set by KMLH No.48 of 2002, namely 55 dB for residential and residential areas. Factors that affect the noise level in the Tafure and Tarau sub-districts are caused by very minimal vegetation because the residential areas are already very dense and the wind speed in the two kelurahans is 0.98-1.31 m/s and for a temperature level of 71 .6% where the wind speed has no effect on the noise level.
Implementasi Active Learning dengan Metode Think Pair Share untuk Meningkatkan Hasil Belajar Siswa Kelas XI IPS 2 SMAN 5 Kota Ternate Gailea, Reka; Purwati, Endang; Aryuni, Vrita Tri
Pangea : Wahana Informasi Pengembangan Profesi dan Ilmu Geografi Vol 5, No 1 (2023): Pangea: Wahana Informasi Pengembangan Profesi dan Ilmu Geografi
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/pangea.v5i1.6759

Abstract

Penelitian ini bertujuan untuk mengetahui peningkatan hasil belajar siswa kelas XI IPS 2 dengan menerapkan model active learning metode think pair share di SMA Negeri 5 Kota Ternate semester genap 2023-2024. Subyek penelitian berjumlah 20 orang siswa. Penelitian ini dilaksanakan berkolaborasi antara peneliti dengan guru kelas untuk melihat peningkatan hasil belajar siswa pada mata pelajaran Geografi. Metode penelitian yang digunakan adalah penelitian tindakan kelas (PTK) dengan teknik pengumpulan data menggunakan metode observasi untuk penilaian proses pembelajaran dan tes pada penilaian akhir pembelajaran. Teknik analisis data menggunakan persentase untuk menilai tingkat penerapan model pembelajaran dan hasil belajar siswa. Perolehan persentase peningkatan hasil belajar siswa dari penerapan model pembelajaran pada siklus I sebesar 65% dan siklus II sebesar 85%. Berdasarkan hasil penelitian dapat disimpulkan bahwa dengan implementasi model active learning metode think pair share dapat meningkatkan hasil belajar siswa kelas XI IPS 2. Rekomendasi dari hasil penelitian tindakan ini bahwa guru Geografi dapat menerapkan model Active Learning dengan metode Think Phair Share untuk membuat proses pembelajaran lebih dinamis, siswa lebih partisipatif dan menyenangkan.
Upaya Bertahan Hidup Nelayan Tangkap di Kelurahan Lelewi Kecamatan Pulau Batang Dua Kota Ternate Baruka, Marselina; Amelia, Risky Nuri; Safitri, Yuni Andriyani; Purwati, Endang; Sufia, Rohana
Pangea : Wahana Informasi Pengembangan Profesi dan Ilmu Geografi Vol 5, No 2 (2023): Pangea: Wahana Informasi Pengembangan Profesi dan Ilmu Geografi
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/pangea.v5i2.7231

Abstract

Umumnya matapencaharian masyarakat di Kelurahan Lelewi Kecamatan Pulau Batang Dua bergantung pada sumberdaya alam, salah satunya adalah sebagai nelayan. Akan tetapi matapencaharian sebagai nelayan memiliki resiko yang cukup tinggi ditengah pergeseran musim dan anomaly iklim seperti sekarang ini. Alat tangkap yang digunakan nelayan setempat masih tradisional, sehingga hambatan melaut sulit diminimalisir. Alhasil ekonomi rumah tangga menjadi sangat tidak stabil sehingga penting untuk mengetahui upaya bertahan hidup para nelayan di lokasi tersebut. Jenis penelitian ini menggunakan penelitian deskriptif dengan pendekatan kualitatif. Teknik penelitian menggunakan wawancara dengan peryataan terbuka kepada 13 orang masyarakat nelayan aktif yang dipilih sesuai dengan kriteria yang diterapkan. Analisis data menggunakan empat tahap yaitu, pengumpulan data, reduksi data, display data, dan kesimpulan data. Berdasarkan hasil penelitian, ditemukan bahwa upaya bertahan hidup masyarakat nelayan tangkap di Kelurahan Lelewi dengan memanfaatkan sumberdaya pesisir berupa ikan,bekel dan udang laut. Kemudian memanfaatkan sumber daya manusia dalam rumah tangga nelayan yaitu dengan optimalisasi tenaga kerja rumah tangga, pola nafkah ganda tani-nelayan, pola nafkah ganda jasa pengangkutan. 
POLYCLONAL ANTIBODY UTILIZATION FOR DETECTION OF JEMBRANA ANTIGEN AT BALI CATTLE IN WEST SUMATRA PROVINCE Helmi, Helmi; Purwati, Endang; Rahmadani, Ibnu; Subekti, Didik Tulus
Jurnal Kedokteran Hewan Vol 14, No 1 (2020): March
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21157/j.ked.hewan.v14i1.15014

Abstract

The aims of this study were to detect Jembrana antigen with polyclonal antibody and to describe antigen distribution in the Bali cattle organ that positively infected with Jembrana disease. Spleens, lungs, and livers were harvested from 10 naturally infected Bali cattle whose infection was confirmed through positive Polymerase Chain Reaction (PCR) result for Jembrana virus. Immunohistochemistry test was performed using polyclonal antibodies produced in rabbits. The results showed that cells infected by Jembrana viruses displayed positive reaction with a reddish brown color. Immunohistochemistry methods using polyclonal antibodies can detect Jembrana antigens in the spleen, liver, and lung with the highest average detection score (P0.05) was found in spleen, followed by liver and lungs. There was significant difference in the distribution of Jembrana antigens between the spleen, liver, and lungs with spleen having the highest antigen density.