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Sistem Pengukuran Tingkat Kekeruhan Air (Turbidity) Dengan Metode Spektrofotometri Astuti, Erviana Widia; Izzatul Hasanah; Albertini Magdalena Sitorus; Nurul Fatma Hidayati
Journal of Electronics and Instrumentation Vol. 1 No. 2 (2024)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i2.684

Abstract

Understanding water turbidity is crucial for water supply, aquatic ecosystems, and water resource management. Poor water quality can harm human health and the environment. Testing water turbidity in water treatment is important. Turbidity reflects the optical properties of water influenced by suspended solids. Conventional methods, such as turbidimeters, are considered expensive for large-scale measurements. The development of a simple method using spectrophotometry is important as it can measure turbidity using light absorbed and emitted by substances in water. This research aims to determine the relationship between variations in illumination angles and turbidity values of each solution to light intensity and resistance. Spectrophotometry is an experimental method to measure water turbidity based on light passing through a solution with varied illumination angles (0^0, 45^0, 90^0). This study was conducted with three samples of mixed water solutions (50 ml) and soil treated with turbidity variations (10 g, 20 g, 30 g of soil). Turbidity values were calculated based on the sensitivity equation of the SEN0198 sensor. Linear regression analysis was performed to analyze the relationship between solution scattering angles and turbidity with the ratio of initial to final light intensity (I/I_0) and the resulting resistance. The obtained results are the turbidity of solutions 1, 2, and 3, respectively, are 59.590 NTU; 116.879 NTU, and 157.432 NTU. The light intensity ratio (I/I_0) of solution 1 at angles (0^0, 45^0, 90^0) is 0.147; 0.121; and 0.031, and the resistances are 20.8; 24.5; and 58.6 KΩ. The light intensity ratio (I/I_0) of solution 2 at the same angles is 0.147; 0.076; and 0.045, and the resistances are 22.5; 38.4; and 43.2 KΩ. Solution 3 has I/I_0 at the same angles successively 0.040; 0.027; and 0.022, and resistances of 54.2; 62; 63 KΩ. Therefore, the variation in illumination angles is inversely proportional to I/I_0 but directly proportional to resistance in each solution. Additionally, the turbidity values of the solution are inversely proportional to I/I_0 but directly proportional to resistance. The influence of the spectrophotometry measurement system is more significant at a 45^0 illumination angle and in solution 2 with turbidity 116.879 NTU.
Klasifikasi Produktivitas Padi di Kabupaten Jember Menggunakan Indeks Vegetasi NDVI Tahun 2023 Safhira Aulia Nurazizah; Muhammad Haesya Hakim Altajuddin; Muhammad Iqbal Mukhlis; Paulinus Dwi Cahyo Puspito; Albertini Magdalena Sitorus
Journal of Electronics and Instrumentation Vol. 1 No. 3 (2024)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i3.1047

Abstract

Produktivitas lahan merupakan indikator penting dalam menentukan potensi agrikultur suatu wilayah. Penelitian ini dilakukan di Kabupaten Jember dengan memanfaatkan teknologi penginderaan jauh, khususnya Normalized Difference Vegetation Index (NDVI), untuk mengukur produktivitas lahan secara efisien. NDVI dihitung dari citra satelit yang mencerminkan kondisi vegetasi dan kesehatan tanaman. Tujuan penelitian ini adalah mengklasifikasikan produktivitas lahan di Kabupaten Jember pada tahun 2023, menganalisis faktor-faktor yang memengaruhi variasi NDVI, serta menyediakan peta distribusi produktivitas lahan. Penelitian ini menggunakan citra satelit multispektral Landsat 8 yang diperoleh dari USGS Earth Explorer, serta data lapangan terkait produktivitas pertanian. NDVI dihitung dengan menggunakan dua pita spektral, yaitu near-infrared (NIR) dan red. Nilai NDVI ini digunakan untuk mengklasifikasikan produktivitas lahan, di mana wilayah dengan NDVI tinggi dianggap memiliki produktivitas tinggi, dan sebaliknya. Klasifikasi dilakukan berdasarkan fase pertumbuhan padi, yaitu fase air, vegetatif, dan generatif, yang masing-masing memiliki rentang NDVI tertentu. Model produktivitas dikembangkan dengan menganalisis intensitas NDVI pada saat tanaman mencapai kehijauan maksimum, menggunakan metode Ordinary Least Square (OLS). Hasil akhir penelitian ini berupa peta klasifikasi produktivitas lahan yang dapat dimanfaatkan oleh pemerintah daerah, petani, dan pemangku kepentingan lainnya dalam perencanaan dan pengelolaan pertanian yang lebih efisien dan berkelanjutan di Kabupaten Jember.