Claim Missing Document
Check
Articles

Found 2 Documents
Search

Analisis Pemetaan Ruang Terbuka Hijau dari Hasil Citra Landsat 8 Menggunakan Metode NDVI di Kota Malang ERLINDA DWITA NURLAILY; Lis Diana Mustafa; Putri Elfa Masudia
Jurnal Jaringan Telekomunikasi Vol 10 No 3 (2020): Vol 10 No 03 (2020) : September 2020
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v10i3.5

Abstract

This study utilizes Landsat 8 satellite imagery using image processing techniques ranging from radiometric correction, image band merging, and image cutting to obtain the area to be analyzed, namely Malang City. To obtain green open space data in the research area, the NDVI method was chosen as the method. The vegetation density is divided into several classes. The image processing results are compared with the results of field tests using google street view to determine whether the results of the analysis are accurate. The results of the analysis obtained were then made a Decision Support System with the SAW method. This study's output was the creation of an android application containing information systems about green open space in Malang City and recommendations for actions for the benefit of green open space management in Malang City. The system created based on the 2020 image analysis resulted in adding green open space needed in 3 sub-districts, namely Klojen District, Sukun District, and Blimbing District. Meanwhile, the data's accuracy in this study amounted to 86% of the overall data analyzed. In 2016 the total area of ??green open space was 17.81%, in 2017, the area of ??green open space was 15.57%, in 2018, there was a significant increase in the area of ??green open space by 27.92%, in 2019 the area of ??green open space was 17.43%, and in 2020, the area of ??green open space is 17.18% of the total area of ??Malang City.
HUBUNGAN ANTARA JENIS TAG NFC (NEAR FIELD COMMUNICATION) DENGAN JARAK BACA READER PADA APLIKASI ABSENSI MAHASISWA Mila Kusumawardani; Agum Sabda Ilhamy; Putri Elfa Masudia
SENTIA 2016 Vol 8, No 2 (2016)
Publisher : SENTIA 2016

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1031.539 KB)

Abstract

NXP Semiconductor mengeluarkan beberapa varian tag NFC, diantaranya adalah NTAG 203, NTAG 213, dan NTAG 216. Artikel berikut membahas keterkaitan antara jenis tag dengan jarak pembacaan reader. Studi kasus dilakukan pada aplikasi absensi mahasiswa. Program apikasi berbasis android ditanamkan pada 2 jenis smartphone yang memiliki fitur NFC. Dengan demikian, smartphone bekerja sebagai reader. Tag NFC berada pada kartu tanda mahasiswa yang sekaligus menjadi bukti kehadiran mahasiswa pada tiap perkuliahan. Pengujian dilakukan dengan jarak baca antara 1 cm sampai 5 cm dengan kenaikan jarak tiap percobaan adalah 0,5 cm. NTAG203 menunjukkan kepekaan pembacaan  paling rendah; ditunjukkan dengan jarak bacanya maksimal yaitu 2,5cm untuk smartphone pertama dan 2 cm untuk smartphoine kedua. NTAG 213 dan NTAG 216 menunjukkan kemampuan baca pada jarak yang relatif sama untuk kedua smartphone yaitu 3 cm.