Abstract:Abstract: Gross Regional Domestic Product (GRDP) is one of the most important socio-economic indicators. In order to gain a more comprehensive understanding of the current economic situation and regional differences, estimating…
imating GRDP using integration of satellite imagery and official statistics data can provide valuable information. This research estimates the GRDP value in 2022 by using data in 2019 to 2021 related to two aspects, agriculture and non-agriculture. Soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), and land cover (LC) used as agriculture aspect, while nighttime light (NTL), human settlement index (HSI), land area, and population per regency/city used as non-agriculture aspect. GRDP estimation are produced with machine learning approach using support vector machine (SVM) and random forest (RF) method. Correlation test on each variable shows only land area that does not have a significant correlation with GRDP. RF model then chosen as the best model with RMSE, MSE, MAE, and R2 value of 0.2549; 0.5049; 0.7727; and 0.2543, respectively. The estimated values acquired in several regencies/cities have rather near, some even very close to the official statistics values.
Keywords: GRDP; satellite imagery; machine learning; random forest; support vector machine
Abstrak: Produk Domestik Regional Bruto (PDRB) merupakan salah satu indikator sosio-ekonomi yang penting. Penghitungan nilai PDRB dengan pendekatan yang melibatkan kombinasi data citra satelit dan statistik resmi dapat memberikan informasi serta pemahaman yang lebih komprehensif. Penelitian ini melakukan estimasi nilai PDRB pada tahun 2022 menggunakan data tahun 2019 hingga 2021 dengan melibatkan dua aspek, agrikultur dan non-agrikultur. Data soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), dan tutupan lahan (land cover/LC) digunakan sebagai aspek agrikultur, sementara data citra cahaya malam (NTL), human settlement indeks (HSI), luas wilayah kabupaten/kota, dan jumlah populasi per kabupaten/kota digunakan sebagai aspek non-agrikultur. Estimasi PDRB dihasilkan dengan menggunakan pendekatan machine learning berupa support vector machine (SVM) dan random forest (RF). Pengecekan korelasi antarvariabel menunjukkan bahwa hanya variabel luas wilayah tidak berpengaruh signifikan terhadap nilai PDRB. Model random forest kemudian dipilih sebagai model terbaik dengan nilai evaluasi RMSE, MSE, MAE, dan berturut-turut sebesar 0.2549, 0.5049, 0.7727, dan 0.2543. Nilai estimasi yang diperoleh di beberapa kabupaten/kota cukup mendekati, bahkan ada yang sangat dekat dengan nilai statistik resmi.
Kata kunci: PDRB; citra satelit; machine learning; random forest; support vector machine
Abstract:Tiakur City, the capital of Southwest Maluku Regency, has undergone significant physical development between 2015 and 2025, driven by population growth and economic activities. This study employs a quantitative approach…
using remote sensing technology with PlanetScope satellite imagery to analyze land cover changes. The analysis reveals an increase in built-up land area from 171.29 hectares (7.31%) in 2015 to 395.66 hectares (16.89%) in 2025, while non-built-up land experienced a decline. These findings indicate a rapid development rate and highlight the importance of sustainable spatial planning. In conclusion, understanding the patterns and intensity of land cover changes in Tiakur City is crucial for evaluating spatial planning policies and improving infrastructure development planning for the future.
Abstract:This study aims to analyze land surface temperature changes in Sorong City, Indonesia using Landsat 8 satellite image data and Google Earth Engine cloud computing platform. With rapid urbanization, understanding the dynamics…
mics of surface temperature is important. Through satellite imagery and cloud computing technology, this analysis provides accurate monitoring of temperature change, supports climate change mitigation strategies, and designs more sustainable cities.
Abstract:The Paguyaman watershed in Gorontalo is crucial for life, but it faces land degradation and erosion. This study evaluates land conditions using satellite imagery and spatial data. Results indicate that 58.73% of the area…
is in moderate condition, while 27.4% is in poor or very poor condition. Recommendations include reforestation with local species and integrated farming systems to improve soil fertility. Regular monitoring using remote sensing technology is proposed for the early detection of vegetation changes. Collaboration between the government, community, and researchers is essential to achieving sustainable watershed management.
Abstract:An English folksong entitled The Wellerman became popular in Indonesia recently. Therefore, the accuracy and acceptability in folksong were important to be investigated. This paper reported the accuracy and acceptability…
of English into Indonesian translation in a folksong entitled The Wellerman. This research applied descriptive qualitative method. In addition, this research combined with purposive sampling technique. Nababan translation quality assessment framework was used to investigate the accuracy and acceptability of the folksong. The whole The Wellerman’s lyrics consist of 28 lines which was then assessed by the raters in terms of its accuracy and acceptability. The raters were 2 translators and 1 writer. The raters were purposely chosen to conduct reliable results of the accuracy and acceptability. This study found the average score of the accuracy was 2. 35 with 198 total scores and the average score of the acceptability was 2.48 with 209 total scores. The result indicates that the translation was relatively accurate and acceptable for the raters. However, it needs further improvement to maintain the context of the source text (ST) in the target text (TT) to reach an accuracy and acceptability in The Wellerman folksong. This study implied that it is crucial to maintain the imagery, narration, and the context of folksong translation.
Abstract:Pendahuluan: Mahasiswa menjalankan pendidikannya pada pergurun tinggi, pada proses penyusunan skripsi terdapat tandangan yang menjadi faktor terjadinya stress, dengan itu cara untuk mengurangi tingkat stress dengan memberikan…
rikan intervensi Terapi Imajinasi Terbimbing (guided imagery) terapi untuk mengurangi tingkat strees dengan memanfaatkan imajinasi. Tujuan: Mengetahui pengaruh terapi imajinasi terbimbing (guided imagery) terhadap tingkat strees pada mahasiswa tingkat akhir dalam menyelesaikan skripsi di Universitas Yatsi Madani 2024 Desain Penelitian : Penelitian kuantitatif menggunakan metode desain Quasy Eksperimental dengan pre-post test control group design. Teknik sampel : Teknik yang digunakan ialah nonprobability sampling dengan teknik proposive sampling. Jumlah sampel : Sampel berjumlah 22 responden Analisa data : Menggunakan analisis univariat, bivariat dan menggunakan uji paired sampel T-test. Hasil penelitian : Hasil penelitian yang dilaksanakan di Universitas Yatsi Madani, bahwa ada pengaruh terapi imajinasi terbimbing (guided imagery) terhadap tingkat stress mahasiswa tingkat akhir dalam menyelesaikan skripsi dengan p-value sebesar ( 0,001 ) Kesimpulan : Terapi imajinasi terbimbing (guided imagery) efektif terhadap tingkat stress pada mahasiswa tingkat akhir dalam menyelesaikan skripsi. Saran : Perlu adanya dukungan dari pihak keluarga dan kampus agar dapat mengatasi stress pada mahasiswa tingkat akhir secara tepat.
Abstract:Latar belakang : terapi Guided imagery merupakan suatu teknik untuk mengalihkan pikirannya terhadap sesuatu yang indah sesuai dengan instruksi. Sedangkan kunyit adalah salah satu tumbuhan yang mudah ditemukan dan bermanfaat…
aat dalam menagani nyeri pada gastritis. Tujuan : memberikan terapi untuk menurunkan rasa nyeri gastritis pada keluarga dengan tahap perkembangan Dewasa khususnya ibu I untuk membantu menurunkan nyeri. Metode : studi kasus dilakukan dengan terapi Guided Imagery selama 3 kali pertemuan dengan waktu 10-20 menit dan pemberian perasan air kunyit selama 2x sehari di pagi dan sore hari, intervensi perawatan penerapan terapi Guided Imagery, pemberian perasan air kunyit dan edukasi mengenai gastritis. Hasil : post terapi Guided Imagery Ibu I mengalami penurunan tingkat nyeri dari skala 5 (nyeri sedang) menjadi 1 (nyeri ringan). Kesimpulan : bahwa selama memberikan intervensi, tingkat nyeri yang dirasakan oleh Ibu I mengalami penurunan sebanyak 4 tingkat.