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All Journal JGE (Jurnal Geofisika Eksplorasi) Jurnal Tekno Insentif Journal of Engineering and Scientific Research (JESR)
Armijon Armijon
Universitas Lampung
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Engineering Industrial & Manufacturing Engineering

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IDENTIFICATION OF DEGRADED LAND FOR DETERMINATION OF CONSERVATION AREAS BASED ON GIS IN REGION-1 LAMPUNG SELATAN DISTRICT Armijon Armijon
Jurnal Geofisika Eksplorasi Vol 6, No 3 (2020)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v6i3.100

Abstract

Based on a field survey at the beginning of 2019, it shows that the growth and development of land use in the South Lampung Regency area leads to uncontrolled conditions, causing disruption of land function both in the area itself and the area below. This condition can be overcome by making efforts to determine land conservation areas. One of the study documents to determine conservation areas in an area is the distribution of degraded land, so a study of degraded land is absolutely necessary. GIS technology can be used to answer the challenge of determining critical land through the superimpose method using several map layers with weighting techniques. The superimpose study requires data on thematic maps and the distribution of existing land cover. Remote sensing technology is utilized to produce existing land cover maps through classification and image interpretation techniques. Thematic map data supporting other analyzes utilize spatial data from the RTRW of the research area. The largest distribution of degraded land is in Merbau Mataram and Katibung districts which require immediate action to be implemented by the Conservation program. Conservation areas that have been defined in RTRW must be maintained, it is necessary to establish additional protected areas on the Sutet border area. As a disaster mitigation effort, all disaster areas need to be designated as conservation areas.
ANALISA LUASAN TERUMBU KARANG DI PERAIRAN PULAU TEGAL LAMPUNG DENGAN TEKNOLOGI PENGINDERAAN JAUH Faris Muhtar; Armijon Armijon; Fauzan Murdapa; Romi Fadly
Jurnal Geofisika Eksplorasi Vol 5, No 2 (2019)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v5i2.29

Abstract

Damage to coral reefs on Tegal Island has an impact on reducing coral reef habitats, so monitoring needs to be done. Monitoring is done by analyzing the extent and changes by utilizing remote sensing technology to map the existing conditions. The data used are Landsat imagery in 1998, 2008, 2015 and 2018. Digital image processing is done starting from image correction, lyzenga algorithm calculation, image interpretation and field validation, and accuracy testing of coral reef habitats using a confusion matrix. The results showed that there was a change in the area of coral reefs from 1998 to 2018. The coral reef class experienced a reduction of 11.22 ha. Coral classes that changed into sand classes were 9.13 ha (29.49%) and seagrasses were 4.38 ha (14.15%). The class of sand that turned into coral reefs was 2.08 ha (13.52%) and seagrass classes that turned into coral reefs were 0.21 ha (0.25%). The biggest change is the change in the coral reef to sand covering an area of 9.13 ha (29.49%), while the smallest change is the change in seagrass into a coral reef covering an area of 0.21 ha (0.25%). In the other classes, the biggest change in area was seagrass change into sand covering an area of 5.76 ha (6.96%), while the smallest change was the change in the sand to seagrass covering an area of 2.67 ha (17.35%).
Pemetaan Distribusi Hutan Mangrove Menggunakan Algoritma Machine Learning di Kawasan Hutan Mangrove Petengoran Anggun Tridawati; Armijon Armijon; Fajri Yanto; Tika Christy Novianti
Jurnal Tekno Insentif Vol 17 No 2 (2023): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36787/jti.v17i2.1101

Abstract

Abstrak Hutan mangrove Petengoran adalah ekowisata mangrove di Provinsi Lampung yang terancam punah karna meningkatnya aktivitas pengunjung. Sehingga, informasi persebaran mangrove sangat diperlukan untuk tujuan konservasi. Dewasa ini, banyak peneliti memanfaatkan teknologi pengindraan jauh untuk pemetaan mangrove menggunakan algoritma machine learning. Penelitian ini bertujuan untuk membandingkan algoritma support vector machine (SVM) dan random forest (RF) untuk pemetaan mangrove menggunakan komposit RGB dan NDVI pada citra Sentinel 2A. Hasil penelitian menunjukkan bahwa algoritma RF memberikan akurasi yang lebih tinggi dibandingkan dengan SVM dibuktikan dengan nilai akurasi keseluruhan dan indeks kappa RF sebesar 92,68% dan 0,88, sedangkan pada SVM sebesar 91,86% dan 0,87. Meski demikian, terdapat kesalahan klasifikasi hutan mangrove di kedua algoritma. Hal tersebut disebabkan oleh kemiripan spektral jenis tanaman dan tidak adanya efek topografi. Sehingga, penelitian selanjutnya diharapkan dapat menambahkan efek topografi untuk mendapatkan akurasi yang lebih baik. Abstract The Petengoran is mangrove ecotourism in Lampung Province which is threatened with extinction due to increased community activity. Thus, information on the distribution of the Petengoran mangroves is needed for conservation. Many researchers use remote sensing technology to map mangroves using machine learning algorithms. This study aims to compare SVM and random forest RF algorithms for mapping mangroves using RGB and NDVI composites on Sentinel 2A imagery. The results showed that the RF algorithm provides higher accuracy compared to SVM. This is evidenced by the overall accuracy value and RF kappa index of 92.68% and 0.88, while the SVM is 91.86% and 0.87. However, there is a misclassification of mangrove forests in both algorithms. This is due to the spectral similarity of vegetation and no topographical effect. Thus, future research is expected to add topographical effects to obtain higher accuracy.
BIVARIATE MAPPING BASED ON STUDENTS SPATIAL PREFERENCES IN THE SELECTION OF STUDENTS DORMITORY IN BANDAR LAMPUNG CITY Rachmawati Fitri Oktaviani; Mochamad Firman Ghazali; Armijon Armijon
Journal of Engineering and Scientific Research Vol. 5 No. 1 (2023)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jesr.v5i1.106

Abstract

Boarding houses or better known as boarding houses are one of the choices of residence for overseas students from outside the island or outside the city who are studying at a university. Most students who choose a boarding house as a place to live, consider cost savings and flexible rental times. The need for boarding houses is very necessary for students. The purpose of this study is to determine the strategic location of the boarding house to be inhabited based on its main preferences. In this study, the data collection technique was in the form of distributing questionnaires, in which the distribution of this questionnaire was allowed to fill in unila students. And this research uses Geoda to generate LISA maps and uses Qgis to generate bivariate maps. The results of this study are that Kampung Baru and Kampung Baru Raya are the places where most students choose boarding houses based on the distance factor and also the rental price factor for boarding houses per year. There are 25 students who choose the location of the boarding house with the campus and the price is relatively cheaper
Co-Authors Anggun Tridawati Fajri Yanto Faris Muhtar Fauzan Murdapa Mochamad Firman Ghazali Rachmawati Fitri Oktaviani Romi Fadly Tika Christy Novianti