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Settlement suitability mapping based on the salinity index in the Banda Aceh City Muhammad Rusdi; Muhammad Irham; Sugianto Sugianto; Ruhizal Roosli; Mohd Sanusi S Ahamad; Yudi Haditiar
Depik Vol 10, No 1 (2021): April 2021
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (518.406 KB) | DOI: 10.13170/depik.10.1.18413

Abstract

The availability of accurate land data is useful in planning, policymaking, regional development, and preserving the environment. Banda Aceh is the center of education and development in Aceh, Indonesia, which is located in the coastal area. The tsunami has had a significant impact on development and settlements in Banda Aceh. Currently, settlements in Banda Aceh rapidly grow also the need for land and water resources. Therefore, mapping the potential for residential land in Banda Aceh is required. This study examines land suitability in Banda Aceh based on the FAO salinity criteria and spatial data analysis by remote sensing methods. Based on the results, it is known that Banda Aceh has land suitable for settlement of around 85% or 2975 hectares. These areas are generally located close to watersheds and receive sufficient freshwater input. Meanwhile, areas far from rivers and close to the coast have brackish salinity. This area is not suitable as a residential area. There are about three sub-districts in Banda Aceh which are not suitable for settlement.Keywords:KrigingRemote sensingSettlementSalinity mappingCoastalBanda Aceh
Settlement suitability mapping based on the salinity index in the Banda Aceh City Muhammad Rusdi; Muhammad Irham; Sugianto Sugianto; Ruhizal Roosli; Mohd Sanusi S Ahamad; Yudi Haditiar
Depik Vol 10, No 1 (2021): April 2021
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.10.1.18413

Abstract

The availability of accurate land data is useful in planning, policymaking, regional development, and preserving the environment. Banda Aceh is the center of education and development in Aceh, Indonesia, which is located in the coastal area. The tsunami has had a significant impact on development and settlements in Banda Aceh. Currently, settlements in Banda Aceh rapidly grow also the need for land and water resources. Therefore, mapping the potential for residential land in Banda Aceh is required. This study examines land suitability in Banda Aceh based on the FAO salinity criteria and spatial data analysis by remote sensing methods. Based on the results, it is known that Banda Aceh has land suitable for settlement of around 85% or 2975 hectares. These areas are generally located close to watersheds and receive sufficient freshwater input. Meanwhile, areas far from rivers and close to the coast have brackish salinity. This area is not suitable as a residential area. There are about three sub-districts in Banda Aceh which are not suitable for settlement.Keywords:KrigingRemote sensingSettlementSalinity mappingCoastalBanda Aceh
Settlement suitability mapping based on the salinity index in the Banda Aceh City Muhammad Rusdi; Muhammad Irham; Sugianto Sugianto; Ruhizal Roosli; Mohd Sanusi S Ahamad; Yudi Haditiar
Depik Vol 10, No 1 (2021): April 2021
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.10.1.18413

Abstract

The availability of accurate land data is useful in planning, policymaking, regional development, and preserving the environment. Banda Aceh is the center of education and development in Aceh, Indonesia, which is located in the coastal area. The tsunami has had a significant impact on development and settlements in Banda Aceh. Currently, settlements in Banda Aceh rapidly grow also the need for land and water resources. Therefore, mapping the potential for residential land in Banda Aceh is required. This study examines land suitability in Banda Aceh based on the FAO salinity criteria and spatial data analysis by remote sensing methods. Based on the results, it is known that Banda Aceh has land suitable for settlement of around 85% or 2975 hectares. These areas are generally located close to watersheds and receive sufficient freshwater input. Meanwhile, areas far from rivers and close to the coast have brackish salinity. This area is not suitable as a residential area. There are about three sub-districts in Banda Aceh which are not suitable for settlement.Keywords:KrigingRemote sensingSettlementSalinity mappingCoastalBanda Aceh
Trends in Formulation of Night Cream Containing Essential Oil Isnaini, Nadia; Faradhila, Jihan; Maysarah, Hilda; Prajaputra, Vicky; Harnelly, Essy; Zulkarnain, Zulkarnain; Maryam, Siti; Muhammad, Syaifullah; Haditiar, Yudi; Desiyana, Lydia Septa; Sari, Febia
Journal of Patchouli and Essential Oil Products JOURNAL OF PATCHOULI AND ESSENTIAL OIL PRODUCT : VOLUME 2, ISSUE 2 (DECEMBER 2023)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jpeop.v2i2.36090

Abstract

Night creams play a pivotal role in skincare routines by safeguarding against nocturnal moisture loss and promoting a smooth, wrinkle-free complexion. However, conventional formulations of night creams often incorporate synthetic active substances, potentially leading to adverse effects over prolonged use. Addressing this concern involves substituting these synthetic compounds with natural ingredients, particularly essential oils, renowned for their diverse skincare benefits encompassing anti-acne, anti-aging, anti-wrinkle, and moisturizing properties. A systematic review was conducted to establish a foundation for future investigations, focusing on the integration of essential oils in night cream formulations. The outcomes revealed that various night cream formulations, enriched with essential oils derived from natural ingredients such as rosemary oil, camellia oil, clove oil, geranium oil, lemongrass oil, rosehip oil, and sandalwood oil, demonstrate remarkable efficacy in preserving skin moisture. The versatility of essential oils has been showcased in the development of night creams, boasting diverse beneficial effects across skincare concerns. This systematic investigation highlights the potential of essential oil-based night creams, which have recently gained traction in the global market. The burgeoning introduction of these products signifies an escalating demand for such skincare solutions and points towards promising prospects for future advancements in essential oil-based night creams.Keywords: essential oils, formulation, natural product chemistry, night cream, patchouli oil, skincare
Implemantasi Mask R-CNN pada Perhitungan Tinggi dan Lebar Karang untuk Memantau Pertumbuhan Transplantasi Karang Alkhalis, Naufal; Husaini, Husaini; Haekal Azief Haridhi; Maretna, Cut Nadilla; Nur Fadli; Haditiar, Yudi; Nanda, Muhammad; Ulfah, Maria; Kris Handoko; Intan Malayana; Arsa Cindy Safitri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 3: Juni 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.938374

Abstract

Indonesia merupakan negara kepulauan dengan terumbu karang yang tinggi dan keanekaragaman hayati laut yang kompleks. Namun, setidaknya 45% dari terumbu karang di Indonesia dalam kondisi terancam disebabkan oleh beberapa faktor seperti ulah manusia, perubahan iklim, lingkungan sekitar, lambatnya laju pertumbuhan dan lain sebagainya. Transplantasi karang telah menjadi salah satu pendekatan yang dilakukan untuk konservasi. Penelitian ini mengimplementasikan algoritma Mask Region-based Convolutional Neural Network (Mask R-CNN) dengan Pustaka Detectron2 dalam deteksi dan segmentasi objek untuk menghitung tinggi dan lebar karang transplantasi melalui citra. Metode penelitian melibatkan pengumpulan dataset, pembagian dataset, anotasi dataset, implementasi model, evaluasi model, dan mengitung laju pertumbuhan karang. Implementasi model melibatkan 7 backbone segmentasi instance dengan jadwal laju pembelajaran sebesar 3 kali. Hasil penelitian menunjukkan bahwa dari ketujuh backbone yang diuji X101-FPN dan R101-DC5 menghasilkan presisi dan recall yang lebih baik. Selisih Average Presision (AP) antara kedua model terbaik tersebut untuk segmentasi mask pada Intersection over Union (IoU) maksimum sebesar 2,2% sedangkan untuk deteksi box sebesar 5,8%. Sedangkan selisih Average Recall (AR) untuk segmentasi mask sebesar 8,3% dan deteksi box sebesar 5,2%. Hasil segmentasi X101-FPN dipilih untuk mengukur tinggi dan lebar karang yang telah di transplantasi, sehingga dapat digunakan untuk memantau laju pertumbuhan dari transplantasi karang.