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All Journal INDONESIAN JOURNAL OF APPLIED PHYSICS CogITo Smart Journal Journal of Regional and Rural Development Planning Elipsoida : Jurnal Geodesi dan Geomatika Action Research Literate (ARL) Jurnal Teknik : Majalah Ilmiah Fakultas Teknik Unpak Jurnal Ilmiah Geomatika Bulletin of Geology GeoEco Jurnal Geosaintek
APRIYANTI, DESSY
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Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Social Sciences Transportation

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Analisis Suhu Permukaan Daratan pada Masa Pandemi Menggunakan Platform Google Earth Engine (GEE) di DKI Jakarta Layali, Ilfa; Azzahra, Fitriana; Anggraeni, Agnes Risma; Apriyanti, Dessy
Jurnal Ilmiah Geomatika Vol. 4 No. 1 (2024): April Jurnal Ilmiah Geomatika
Publisher : Program Studi Teknik Geomatika Fakultas Teknologi Mineral Universitas Pembangunan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/imagi.v4i1.12212

Abstract

Tingginya kasus Covid-19 di Indonesia membuat pemerintah perlu membuat serangkaian kebijakan untuk mencegah penyebaran dan penularan virus Covid-19. Kebijakan tersebut antara lain Pembatasan Sosial Berskala Besar (PSBB) dan Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM).
ORTHOREKTIFIKASI CITRA SATELIT RESOLUSI TINGGI MENGGUNAKAN SOFTWARE PIXEL FACTORY DENGAN KOORDINAT ORTHOSISTEMATIK DI WILAYAH BANGKA APRIYANTI, DESSY
Jurnal Teknik | Majalah Ilmiah Fakultas Teknik UNPAK Vol 18, No 1 (2017): Jurnal Teknik : Majalah Ilmiah Fakultas Teknik UNPAK
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/teknik.v18i1.1536

Abstract

Badan Informasi Geospasial merupakan lembaga pemerintahan yang bertugas untuk menyediakan Informasi Geospasial di Indonesia, salah satu produk dari Informasi Geospasial ini adalah Peta Rupabumi atau Peta Dasar yang di jadikan sebagai acuan dalam keperluan pemetaan, baik untuk kepentingan nasional maupun swasta. Pembuatan peta rupabumi memiliki Standar Oprational Procedure di setiap pengerjaannya. Peta rupabumi yang di buat oleh BIG menggunakan Citra haruslah melalui tahap orthorektifikasi. Orthorektifikasi dilakukan dalam upaya untuk menghilangkan distorsi salah satunya adalah kesalahan geometrik pada citra. Bangka Belitung merupakan salah satu dari Wilayah di Indonesia yang belum memiliki Peta Dasar untuk keperluan pemetaan skala besar. Oleh karena itu, penulis melakukan pekerjaan Orthorektifikasi Citra Satelit Resolusi Tinggi Menggunakan Software Pixel Factory dengan Koordinat Orthosistematik di Wilayah Bangka” ini dalam rangka mendukung ketersediaan data Peta Dasar di Wilayah tersebut. Adapun tujuan dari penelitian ini adalah mengetahui tahapan pengoprasian software Pixel Factory untuk keperluan Orthorektifikasi serta mengetahui nilai ketelitian Uji Akurasi dari orthorektifikasi Citra Tegak Resolusi Tinggi menggunakan koordinat orthosistematik. Kesimpulan dari penelitian ini yaitu, Dari hasil uji akurasi CE90 didapatkan ketelitian 9 meter. Data hasil orthorektifikasi dapat digunakan untuk pemetaan dengan skala paling besar 1:25.000 di kelas 3. Hasil orthorektifikasi CSRT menggunakan banyak scene citra dan menggunakan koordinat orthosistematik sebagai parameter pengganti GCP belum mencapai target yang di inginkan yaitu 2,5 meter.Kata kunci : Bangka, Orthorektifikasi, Citra Satelit, Pixel Factory
Application of Photosynthetic Bacteria and Chitosan on the Growth of Banana Lase (Musa acuminata L.) Srilestari, Rina; Wijayani, Ari; Apriyanti, Dessy
Action Research Literate Vol. 10 No. 2 (2026): Action Research Literate
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/arl.v10i2.3063

Abstract

The post-acclimatization stage is a critical period for Lase banana (Musa acuminata L.) plants derived from tissue culture, as they must adapt to open-field environmental conditions. The application of photosynthetic bacteria (PSB) and chitosan has the potential to enhance plant growth and development, as well as improve the tolerance of banana plants during the post-acclimatization stage. The primary objective of this study was to obtain Lase banana seedlings from tissue culture with optimal field growth through the application of PSB and chitosan. The experiment was conducted using a split-plot design in a field setting, with the main plots representing PSB concentrations (10, 20, and 30 mL/L) and the subplots representing chitosan concentrations (10, 15, and 20 mL/L). Data were analyzed using ANOVA at the 5% significance level and further tested using Duncan’s Multiple Range Test (DMRT) at the 5% level. The results showed a significant interaction between PSB at 20 mL/L and chitosan at 15 mL/L for several parameters, including root number and length, plant fresh weight, and total chlorophyll content of Lase banana plants.
Estimate The Focal Mechanism of Earthquake in Indonesia By Using 1-D Convolutional Neural Network (CNN) Palupi, Indriati Retno; Raharjo, Wiji; Alfiani, Oktavia Dewi; Apriyanti, Dessy; Wahyuningrum, Dwi
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 15, No 2 (2025): October
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v15i2.84593

Abstract

Indonesia is located between three collisions of active plate tectonics (Pacific, Eurasia, and Australia), resulting in a high seismicity zone, especially along the subduction zone. Besides the subduction zone, there are also many faults as a result of these collisions. As the earthquake source, both are controlled by focal mechanisms. Focal mechanism is the geometry of fault movements. Unfortunately, Indonesia's earthquake catalog data is not complete. There is missing information in some focal mechanism data, especially the data with more than 6 Magnitudes between January 1st, 1973, and February 1st, 2023. To complete the focal mechanism data, 1-D Convolutional Neural Network (CNN) is applied as the common and powerful method of Machine Learning. Started by grouping the earthquake catalog data with clear focal mechanism information as the training data with its training label and otherwise as the test data with the unknown label, then applied these training and label data to convolutional layer with some neurons, CNN can estimate focal mechanism (label) of the test data. This process is done iteratively, and a good model is observed with little loss value in the L curve.
DETERMINING TRANS JOGJA BUS STOP LOCATIONS USING A COMBINATION OF SPATIAL ANALYSIS AND FUZZY LOGIC Yudinugroho, Maulana; Apriyanti, Dessy; Lidyani, Lia
GeoEco Vol 9, No 2 (2023): GeoEco July 2023
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v9i2.72638

Abstract

The increase in population from migration coupled with natural growth resulted in a high population density in Yogyakarta City, with a negative impact of traffic congestion due to the number of vehicles that were not proportional to road capacity. One of the efforts to lessen congestion was through efficient public transportation. Trans Jogja can be one of the solutions to this problem. However, despite having up to 90 stops in Yogyakarta City, the existing stop locations are not evenly distributed. Thus, in order to propose appropriate bus stop locations, this study aimed to utilize the weighting and utilization of GIS, based on a number of factors usithe ng fuzzy logic method. The result showed that the weight of eh parameter also influenced locations with a high suitability. Values with a high match were pixel values ranging from 6.824 to 9.49. The location of high suitability was close to the road around the location with a high level of crowds, such as office areas, shopping centers, hotels, educational facilities, and tourism. This study proved that fuzzy logic could be used as a tool in spatial analysis to obtain criteria for a location by considering the probability of correctness of each selected parameter.
Co-Authors A Wijayani Alfiani, Oktavia Dewi Anggraeni, Agnes Risma Arif, Riyas Syamsul Azzahra, Fitriana Bashit, Nurhadi Dani Mardiati, S.T., M.Eng. Dewi Alfiani, Oktavia Dwi Wahyuningrum Ediyanto Fadillah, Ma'ruf Arief Fathurohman, Cahya Riski Gomareuzzaman, Muhammar Harpudiansyah, Fauzan Iqbal Hasanuddin, Fuad Helik Susilo Ihsanudin, Taufiq Indriati Retno Palupi, Indriati Retno Joko Hartadi, Joko Kartika, Jessica Astrid Layali, Ilfa Lidyani, Lia Martasari, Rial Dwi NOVA WAHYU PRATIWI, NOVA WAHYU Peter Pratistha Utama Prabowo, Hanang Putri, Dinda Pratiwi Dwi Rahmawati, Salsabila Diyah Ramadhan, Ariq Naufal Rico Waskito Putro Shofiyatul Qoyimah, Shofiyatul Srilestari, Rina Srinarbito, Adhiyatma Wiji Raharjo Yudinugroho, Maulana