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Peranan Aisyiyah Cabang Sebangau di Lahan Gambut Kota Palangka Raya dalam Ketahanan Pangan: The Role of Aisyiyah Sebangau Branch in Peatland of Palangka Raya City on Food Security Sanawiah, Sanawiah; Rahmaniati, Rita; Marlina, Sari
Anterior Jurnal Vol. 23 No. 3 (2024): Anterior Jurnal
Publisher : ​Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/anterior.v23i3.3073

Abstract

Aisyiyah is an Islamic women's movement organization formed by Muhammadiyah, this organization since its inception until now, even more, and more various efforts have been made, including in the fields of religion, education, social and economics, which have benefited the Indonesian people in general and Muslims in particular. One of the 'Aisyiyah movements in the social field is the establishment of Posbakum Aisyiyah in collaboration with the Indonesian Ministry of Law and Human Rights, from the Central Leadership of 'Aisyiyah to the regions. The existence of 'Aisyiyah reached the Regional Leader of 'Aisyiyah Central Kalimantan, at the time of the current Covid-19 Pandemic, the role of women has become more increased in domestic roles as well as in fulfilling the economic needs of the family at this time. This study aims to describe the role and form of the role of 'Aisyiyah Kalampangan Branch in Peatlands to Women in increasing family food security. This research was conducted at 'Aisyiyah Kalampangan Branch, Palangka Raya City, Jalan Mahir Mahar Trans Kalimantan Palangka Raya using observation methods (field and participation), interviews (in-depth interviews, taking notes, recording, listening, observing, and capturing using a camera) and literature studies. Data analysis used a simple tabulation to describe the conditions and characteristics of the research site. The processed data is displayed in a table. The targeted finding in this research is the obtaining of a role description by 'Aisyiyah Kalampangan Branch in Peatlands of Palangka Raya City.
Analisis Risiko K3 Menggunakan Metode Hazard Identification Risk Assement dan Risk Control Pada Proyek Pembangunan Bundaran Kota Palangka Raya Azzahra, Lutfia Nur Azizah; Marlina, Sari; Putro, Dhymas Sulistyono
Jurnal Teknologi Berkelanjutan Vol 13 No 2 (2024): Vol 13 No. 02
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtb.v13i2.287

Abstract

This research is needed to prevent and reduce the number of work accidents that occur in the scope of work for the construction and renovation of the Palangka Raya City Grand Roundabout because it aims to identify potential hazards, risk assessment, and K3 control in the work environment. This requires that a proper K3 system be implemented to reduce the number of work accidents so that work productivity runs optimally. Based on the results of this analysis, there are 2 dominant hazards in the Big Roundabout construction project, and there are 4 dominant risks of work accidents. Some ways to control risks are by installing counterweights on tower faucets or car faucets, installing horizontal and vertical safety nets, K3 signs, using body harnesses when working at heights, preparing SOPs based on K3 aspects, supervising workers at each work location, and use PPE based on existing hazards and risks.
FOREST FIRE DETECTION BASED ON GOOGLE EARTH ENGINE SEBANGAU NATIONAL PARK Dwi Wulandari, Afifah Kiki; Iskandar, Beni; Marlina, Sari
Jurnal Belantara Vol 8 No 2 (2025)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v8i2.1143

Abstract

Sebangau National Park, a peatland conservation area, is particularly vulnerable to forest fires. These conflagrations are most prevalent during the dry season. The objective of this research is to detect and analyze burned areas in Sebangau National Park using the Google Earth Engine (GEE) platform. The analysis will utilize Landsat 8 satellite imagery from 2015. The methods employed for detecting areas that have undergone combustion include the utilization of Normalized Burn Ratio (NBR) and Normalized Difference Vegetation Index (NDVI) indices. The analysis reveals that the burned area, as determined by the NBR index, encompasses 27,567.92 hectares. When assessed using NDVI, the burned area increases to 35,163.44 hectares. The accuracy assessment reveals that the NDVI index exhibits an Overall Accuracy (OA) value of 97.71% and Kappa Accuracy (KA) of 81.46%, which exceeds the NBR by 0.07% and 1.24%, respectively. This finding highlights the enhanced precision of NDVI in detecting vegetation changes resulting from fire events. Consequently, NDVI can serve as a crucial reference point in post-fire mitigation and rehabilitation efforts within peat conservation areas.