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All Journal Optimal: Jurnal Ekonomi dan Manajemen Jurnal Sains Student Research Jurnal Intelek Dan Cendikiawan Nusantara
Ari Ardiansyah
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Other

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Analisis Kinerja Keuangan Setelah Implementasi Pola Pengelolaan Keuangan Badan Layanan Umum Daerah (PPK-BLUD) Ari Ardiansyah
OPTIMAL Jurnal Ekonomi dan Manajemen Vol. 3 No. 3 (2023): September : Jurnal Ekonomi dan Manajemen
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/optimal.v3i3.1819

Abstract

The purpose of this study is to understand the financial activities of the Melata Health Center after the implementation of the BLUD (2020-2022). The background of the problem is that people's welfare needs to be improved through improving the performance of government organizations, for example in the establishment of BLU/D. Health Center is one example of community organization. The organization places more emphasis on providing services to society than making a profit. Research is one type of research. Data obtained through the creation of documentation. Techniques for analyzing desktop quantitative information for the purpose of determining employment rates based on currency exchange rates. The research findings show that the financial activities of the Melata Health Center in 2020, 2021 and 2022 will be carried out using various indicators of the PNBP ratio on operational costs, inventory turnover, equity returns, fixed asset returns, fixed asset turnover, receivables collection period, current ratio, and cash ratio based on Director General of Treasury Regulation No. PER-36/PB/2016.
ANALISIS FAKTOR YANG MEMPENGARUHI INFLASI DI PROVINSI LAMPUNG PADA TAHUN 2021-2023 Izhar Tanca Bani Arif; Sulistia Wati; Muhammad Gunanto; Ari Ardiansyah; Anas Malik
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 1 No. 5 (2024): OKTOBER-NOVEMBER 2024
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Inflasi adalah fenomena ekonomi yang penting untuk dipelajari karena dapat memengaruhi daya beli masyarakat, stabilitas ekonomi, dan kebijakan moneter di suatu wilayah. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang memengaruhi inflasi di Provinsi Lampung pada periode 2021 hingga 2023. Metode yang digunakan adalah pendekatan kuantitatif dengan analisis data sekunder yang mencakup inflasi, indeks harga konsumen (IHK), nilai tukar rupiah, harga bahan bakar minyak (BBM), serta faktor-faktor lain yang mempengaruhi perubahan harga barang dan jasa di daerah tersebut. Temuan dari penelitian ini menunjukkan bahwa beberapa faktor yang berpengaruh terhadap inflasi di Provinsi Lampung selama periode yang diteliti, antara lain fluktuasi harga pangan, kebijakan fiskal dan moneter, serta perubahan nilai tukar rupiah terhadap mata uang asing. Selain itu, faktor eksternal seperti harga komoditas global juga memainkan peran penting dalam memengaruhi tingkat inflasi. Hasil penelitian ini diharapkan dapat memberikan informasi berharga bagi pembuat kebijakan di Lampung untuk merumuskan kebijakan ekonomi yang efektif guna menstabilkan inflasi dan menjaga daya beli masyarakat, terutama di tengah ketidakpastian ekonomi global dan tantangan domestic.    
Identifikasi Pola Perubahan Tutupan Lahan (Land Cover) Akibat Penggunaan Lahan (Land Use) Menggunakan Algoritma Random Forest Di Kabupaten Bangka Tengah Ari Ardiansyah; Yudistira Bagus Pratama; Zikri Wahyuzi; Arvi Pramudyantoro; Andesta Granitio Irwan
JOURNAL SAINS STUDENT RESEARCH Vol. 3 No. 6 (2025): Jurnal Sains Student Research (JSSR) Desember
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v3i6.7072

Abstract

Central Bangka Regency has been facing growing environmental pressures resulting from the expansion of oil palm plantations, mining operations, and accelerated urban development. These activities have caused considerable changes in land cover, posing a threat to the sustainability of local ecosystems. This study aims to examine land cover dynamics between 2019 and 2022 and to forecast future conditions for 2030 as a basis for sustainable spatial planning. Sentinel-2A satellite imagery was processed using the Google Earth Engine(GEE) platform, employing the Random Forest(RF) algorithm to classify land cover into five categories: forest, water, built-up, oil palm plantations, and barren. Model validation through the Overall Accuracy metric demonstrated strong classification performance, reaching 0.90297 in 2019 and 0.90849 in 2022. The analysis showed a 21.63% reduction in forest area, alongside significant increases in oil palm and built-up land. The projection for 2030 suggests that forest cover may decline to just 3.35% of the total area, with oil palm plantations and built-up land becoming dominant. These results emphasize the necessity of implementing sustainable land-use management strategies to maintain a balance between economic growth and environmental conservation in Central Bangka Regency.
Co-Authors Anas Malik Andesta Granitio Irwan Arvi Pramudyantoro Izhar Tanca Bani Arif Muhammad Gunanto Sulistia Wati Yudistira Bagus Pratama Zikri Wahyuzi