Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Zona Laut : Jurnal Inovasi Sains dan Teknologi Kelautan
Rahimah, Fariha
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Energy Engineering Transportation Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Distribusi Biomassa Pada Vegetasi Mangrove Menggunakan Metode Spatial Interpolation Di Nusa Lembongan, Bali Rahimah, Fariha; La Ode Alam Minsaris; Widiyanto, Kukuh
Zona Laut : Jurnal Inovasi Sains Dan Teknologi Kelautan Volume 6, Number 1, March 2025 Edition
Publisher : Departemen Teknik Kelautan Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62012/zl.v6i1.42637

Abstract

Mangroves are coastal ecosystems that have an important role in maintaining the balance of the coastal environment and are effective carbon absorbers which have an important role in climate regulation. The effects of global warming can be reduced through the absorption of organic carbon from photosynthesis and stored in woody biomass, such as standing mangrove trees. Biomass distribution analysis in mangrove vegetation is needed to understand the condition and distribution of mangrove vegetation in more depth and to reflect the productivity and health of the ecosystem. Nusa Lembongan Bali has the potential and utilization of mangrove ecosystems which have potential flora and fauna that need to be preserved. Method spatial interpolation is an effective approach in analyzing biomass distribution because it is able to overcome the limitations of sample data in large forest areas using deterministic techniques Inverse Distance Weighted (IDW). This research aims to analyze the distribution of mangrove vegetation biomass and assess the level of accuracy of the method spatial interpolation in producing a distribution map of mangrove biomass in Nusa Lembongan, Bali. There are 4 types of mangroves found in Nusa Lembongan that are affordable for research, including: Rhizophora apiculata, Xylocarpus granatum, Bruguiera gymnorrhiza And Sonneratia alba, with 90% having a sandy mud substrate. Nusa Lembongan has good biomass distribution as shown by the mangrove vegetation biomass distribution map which shows a dominant color of green to yellow with an average biomass value of 200 Mg/ha to 300 Mg/ha. The results of the correlation calculation have a significant correlation accuracy value with a value of rCount 0.997 > rTable 0.273 which is shown through the results of correlation calculations that support the results of biomass distribution in mangrove vegetation on Nusa Lembongan Island, Bali.
ANALISIS TINGKAT KONSUMSI IKAN PERKAPITA BERDASARKAN DATA IKAN AIR LAUT MENGGUNAKAN ALGORITMA REGRESI NON LINEAR DI PROVINSI JAWA BARAT Aprilia, Fayzah; Rahimah, Fariha; Ed-har, Izra Aliyya; Huwaida, Nisrina
Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Vol 9, No 2 (2023): Agustus
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/rmsi.v9i2.23675

Abstract

Indonesia sebagai negara kepulauan menyimpan ekosistem perairan tropis yang memiliki sumberdaya perairan yang kaya akan bermacam ikan, Namun demikian, konsumsi ikan Indonesia masih relatif rendah dibandingkan potensi sumber daya ikannya. Penelitian ini bertujuan untuk mengetahui jenis ikan apa yang banyak dikonsumsi dan untuk mengetahui daerah dengan tingkat konsumsi ikan tertinggi di Provinsi Jawa Barat. Metode penelitian yang digunakan yaitu studi literatur serta algoritma data mining regresi non linear untuk melakukan pengolahan data. Dari hasil penelitian didapatkan bahwa ikan kembung menjadi jenis ikan yang banyak dikonsumsi dari tahun 2018 sampai tahun 2020, dan Bekasi menjadi daerah di Provinsi Jawa Barat dengan tingkat konsumsi ikan tertinggi selama tiga tahun berturut-turut dari tahun 2018 hingga 2020. Kesimpulannya ialah dapat diprediksi untuk beberapa tahun kedepan kota atau kabupaten yang mengkonsumsi ikan tertinggi akan diraih oleh Bekasi. Sedangkan jenis ikan yang akan menempati posisi pertama sebagai jenis ikan yang banyak dikonsumsi adalah ikan tuna, tongkol, cakalang dan kembung
Co-Authors Aprilia, Fayzah Ed-har, Izra Aliyya Huwaida, Nisrina Kukuh Widiyanto Minsaris, La Ode Alam