bluuebunny/crossref_metadata_2025_split huggingface dataset:
AI-driven safety checks for ladders used on construction sites
Authors: Hire S , Ranjan A , Ruikar K , Sandbhor S 
Published: December 2022

Abstract
Construction plays an integral part in the social and economic development of countries worldwide. Construction site safety is a crucial concern in both developed and developing countries. Because the preponderance of safety practices is mitigation-oriented rather than prevention-oriented, the construction industry has poor safety and health conditions. Falls are the primary cause of accidents involving roof and ladder falls on site. With the ability of Artificial Intelligence (AI) based techniques, the safety of ladders can be effectively managed, and the rate of accidents can be reduced. This study presents the AI-driven safety checking for a ladder in the pre-use stage. The checks are performed in Python programming language and various libraries such as math, Numpy, and Opencv. The AI-driven safety checking can decide for ‘fitness for the use of the ladder in terms of its structural rigidity before use. Compared to conventional safety practice, this process is less time-consuming, an inspection can be done throughout the project lifecycle, data can be stored and shared virtually, and needless to say, the ladder-related hazards can be reduced.
Impact Assessment Model for Low Cost (Shoestring) Digitalisation in Small Construction Organizations
Authors: Yilmaz Gokcen , Mukherjee Anandarup , Aguayo Jaime Macias , McFarlane Duncan 
Published: December 2022

Abstract
Adopting low-cost (shoestring) digital solutions in organisations should be followed by assessing the business and digitalisation impact. Evaluating the impact of low-cost (shoestring) digital solutions on improving business and digitisation benefits becomes essential for small organisations. This paper introduces an impact assessment model for digital shoestring solutions developed through the digital shoestring program. The proposed model assesses the impact of the low-cost digital solutions on 1) the business and 2) the digitalisation benefits after their installation. The model’s suitability is tested through a single exploratory case study performed with a small construction supplier. The case study highlighted that some digital solutions in the digital shoestring solutions catalogue affect only a part of the business benefits. The case study results also showed that the digitalisation benefits are not comprehensive enough to assess the digitalisation level achieved. Motivated by the case study results and inputs from literature, we propose an updated and novel impact assessment model that can be used uniformly across industries and adheres to multiple commonly accepted IoT reference architectures. This model will output the levels of digitalisation achieved and provides a comparative score of the achieved business impact for the digital solutions deployed at small organisations.
Climate risk perception among women farmers in Kwara North, Nigeria
Authors: Aliyu H K A , Sheriffdeen M 
Published: December 2022

Abstract
Past academic debates have identified the need to mainstream indigenous knowledge and gender perspectives in relation to climate risk analysis, perceptions of vulnerability, experiences, and coping mechanisms. The justification for this is that gender often dictates who gains and who loses in environmental disasters and because women make up almost 80% of the agricultural workforce in the tropics and are increasingly vulnerable to climate change, they have learned to adapt to climate variability and their adaptation over time has been through indigenous knowledge practices. Through questionnaires, Focus Group Discussions and observations, this study attempts to understand how women farmers perceive climate risk in rural parts of Nigeria. The women farmers’ perception of climate change was viewed from different angles, ranging from causes, weather events, rainfall to temperature. Our result indicates that the women farmers’ understanding of local forcing of climate change (i.e. local actions that contribute to climate variability) is low and it varies across the five Local Government Areas (LGAs) in the study area. Women farmers perceive climate change as a problem that could have a long-lasting effect on their livelihood systems.
Citizen science: Realizing a participatory rain data management for flood disasters early warning systems and building disaster awareness from a very young age
Authors: Nugroho H Y S H , Savitri E , Wahyuningrum N , Sudiana N , Indrajaya Y , Christanto N 
Published: December 2022

Abstract
According to official data from the National Disaster Management Agency (BNPB), in 2021, flooding was Indonesia’s most frequent and destructive disaster. Thus, better disaster management, including early warning systems (EWS) and disaster mitigation based on accurate rainfall data, is essential. This paper was written based on preliminary research on the development of citizen science in Wonosobo and Banjarnegara regencies, Central Java, which aims to develop a very early warning system (VEWS) and community-based rainfall data management. Modified rain gauges are installed in elementary schools in the upstream Serayu watershed. Students, in turn, do data recording. This effort ensures continuity of observation, the introduction of science and technology, and increased literacy about floods and landslides and their mitigation. From the initial research, it can be stated that the integration of the citizen science model into compulsory subjects for elementary school children is very prospective for accelerating students’ understanding of subjects related to natural sciences. A citizen science approach that is carried out correctly is able to produce accurate rainfall data continuously. These two things are enabling factors for the effective and efficient implementation of the VEWS flood disaster in the upstream watershed.
Geophytes cultivation dilemma in Indonesia: Climate change disaster mitigation, investment, and impact on the environment
Authors: Pieter L A G , Utomo M M B , Sudomo A , Siagian C M 
Published: December 2022

Abstract
Climate change affects farming activities, leading to a greater impact on food security. Indonesia has the potential for a wide variety of geophytes that can be utilized for food security. However, geophytes are underutilized crops, and our staple food is still dominated by rice. This study aims to explore the potential and obstacles in geophytes development for strengthening food resilience in Indonesia. The methods used in this research were surveying and interviewing 30 “porang” and “beneng” taro farmers between January 2022 to April 2022 to determine the potential of tuber development and its market regarding climate change. The research was carried out in Ciamis and Tasikmalaya Regency, West Java, Indonesia. The result shows that geophytes are low maintenance which helps in reducing GHG emissions. Unlike grains, geophytes are commonly shade-tolerant, more tolerant to drought stress, and resilient on marginal land. However, the difficulties in the geophytes crops development are the unstable prices, and the market sometimes is still very segmented and obscure. Meanwhile, to start planting geophytes on a large scale has an environmental problem and a significant investment risk for farmers, especially farmers with limited land and capital. Therefore, enrichment of geophytes planting under the state land stands may be an option for mitigating climate change and overcoming food security.
Mapping of Scientific Tourism Objects and Attractions in Bogor City
Authors: Ilhami W T , Arifin H S , Pramudya B , Kosmaryandi N 
Published: December 2022

Abstract
Bogor City is one of the popular urban tourism destinations in West Java Province, Indonesia. This city has a history that is closely related to the development of science and technology, especially the life sciences. Bogor City is a habitat for the growth of various centers of knowledge. The development of science in Bogor city is the starting point for the development of scientific institutions, both research and education, especially in the field of agriculture in a broad sense. Until now, it is not known how significant the potential of Bogor City as a scientific tourism destination is. This paper aims to publish the results of mapping scientific tourism objects and attractions in Bogor City. The research method used is descriptive quantitative questionnaires and spatial mapping through Geographic Information Systems (GIS). The results showed that the potential for scientific tourism in Bogor City could be divided into five classifications, i.e., historical and cultural tourism, educational tourism, research tourism, scientific adventure tourism, and Meeting, Incentive, Conference, and Exhibition (MICE) tourism. The diversity of scientific tourism potential can become a new tourism concept trend to be developed in the city of Bogor in particular and other areas in Indonesia in the future.
Variable sustainability of domestic wastewater management in informal self-help housing, Case Study Bogor City
Authors: Darmastuti L , Rustiadi E , Fauzi A , Purwanto YJ 
Published: December 2022

AbstractThe purpose of this study is to identify sustainability variables in domestic wastewater management in informal self-help housing in Bogor City. The analysis tool used is MICMAC analysis, which can identify variables of influences and dependences, mapped in a graph to explain the relationships between variables, and know the causal chain of a system. The identified variables are derived from books, journals, regulations issued by the government, field observations, in-depth interviews with stakeholders, focuss group discussion. The result of the MICMAC analysis is 1) very influential variables as key variables include: variables of the role of government and social capital; 2) relay variables or variables that are influential but highly dependent, including variables of community participation and empowerment, knowledge and education, sharing community resources, financial assistance, non-financial assistance, provision/ construction of facilities and infrastructure, operation and maintenance of facilities and infrastructure, community institutions, management collaboration, policy reform, budget support, regulations for providing incentives/disincentives and rewards/sanctions that are implemented; 3) depending variables or result variables are variable of spatial and building planning; 4) excluded variables or variables whose influence is relatively small on the system are variables of culture and customs, alternative financing, land provision and legal aspects of land, partnerships between government, private, community and volunteer organizations and asset security.
Management strategy for marine tourism in Bunaken National Park North Sulawesi Province
Authors: Kamagi J W A , Sitorus S R P , Arifin H S , Hardjomidjojo H 
Published: December 2022

Abstract
Bunaken National Park is well-known as one of the special interest tourist destinations with diving activities as its main attraction. Bunaken National Park is also famous for its unique underwater landscape in the form of coral reef walls. Some of the marine tourism attractions in Bunaken National Park are diving, snorkeling, underwater photography, Bottom Glass Boat (catamaran), dolphin watching, and dugong watching. In its management, Bunaken Park has several problems, such as the potential for tourist attractions that are not optimal, mass tourism, litter and the illegal capture of protected marine animals. This study aims to obtain a marine tourism management strategy and its priorities. The analysis method used is interpretative structural modeling using experts as data sources. The experts used as data sources are 2 people from academics and 1 person from the former manager of the Bunaken National Park (DPTNB). The strategies obtained are visitor management strategies, environmental quality improvement strategies and community empowerment strategies. To realize this strategy, program implementation is strengthening regulations and permits, Waste Management, Destination development, community empowerment and stakeholder cooperation.
The development of environmental case handling policy in Indonesian court
Authors: Syahr Z H A , Putra S G M S R 
Published: December 2022

Abstract
The lawsuit of the environmental dispute has long been discussed along with the phenomenon of environmental destruction. The actions that have an impact on environmental damage must be accounted for through a strict legal process. The Supreme Court issued a policy in 2011 related to the certification of environmental judges. This policy has been implemented for a long time and is in line with the development of issues of environmental change. Therefore, the objective of this research is to evaluate the certification policy of environmental judges so that they have competence in the development of environmental issues in the community. The research method used is qualitative with a normative approach. Data collection is carried out by reviewing laws and regulations and also collecting data on environmental cases that register in court over the last three years. Then analyzed descriptively to describe what policies need to be made to support the resolution of the current environmental issues. The result obtained is that the environmental judge certification policy must be supported by a renewal of the curriculum and training model. Then, there is the potential for having an environmental court due to the various types of violations against environmental management and preservation.
Cloud-free mosaic for high-resolution satellite to support natural resources and disaster monitoring
Authors: Brahmantara R P , Ulfa K , Rahayu M I , Prabowo Y , Hestrio Y F , Sartika  , Kustiyo  , Candra D S , Novresiandi D A 
Published: December 2022

Abstract
High-resolution satellite imageries have been widely used for many applications, including monitoring natural resources and disasters. Unfortunately, the existence of the cloud interferes with these activities. The small coverage of high-resolution satellite imageries is also needed to be extended to a larger coverage for monitoring large areas. A method for generating the cloud-free tile-based mosaic for high-resolution satellite images is proposed in this paper to address the issues, namely Mosaic Tile-Based (MTB). The basic idea of this method is to take advantage of the cloud cover information from multi-temporal high-resolution satellite images to select the best image with the minimum cloud cover. SPOT-6 and SPOT-7 pan-sharpened images are used to test the method’s reliability. First, each image is re-shaped becomes tiles and keeps the information of its acquisition date. Each tile image is then calculated and assessed based on its cloud cover. Tile image selection is conducted in the next step to select the best tile with the lowest percentage of the cloud cover. In the last step, a mosaic of each best tile is conducted to produce a cloud-free mosaic. As a result, the mosaic product has a minimum cloud cover and larger coverage. The proposed method has beneficial as it keeps the original acquisition date on each tile and is faster for image processing activities. Thus, this method can be used as an alternative method for generating cloud-free mosaic for high-resolution satellite images to support natural resources and disaster monitoring.
Shallow water habitats monitoring using simulated PRISMA hyperspectral data and Depth Invariant Index – the case of coral reef in Maldives
Authors: Chan Jonathan Cheung-Wai 
Published: December 2022

Abstract
Environmental crises have negative impact to marine ecosystems. Coral reefs which offer great wealth of habitats are considered one of the most vulnerable. Remote sensing approaches can be utilized for monitoring, but scattering and absorption under water pose serious challenges to passive sensors. While hyperspectral data are often considered more effective than multispectral data, they are often unavailable. In this study, we describe preliminary effort to combine depth invariant index (DII) and simulated hyperspectral data for habitat classification in shallow water. Initial observations suggest incorporating DII in classification generate more homogenous patches in similar estimated depths, which potentially improves classification accuracies. Pre-processing procedure and the generation of DII are implemented using Sen2Coral Toolbox in SNAP, which are useful. Further studies with groundtruth measurement are needed to establish more conclusive discussions.
Estimating soil moisture condition of paddy fields by using optical remote sensing imagery
Authors: Sholihah Rizqi I’anatus , Karyati Nur Etika , Trisasongko Bambang H , Panuju Dyah R , Iman La Ode S , Nadalia Desi 
Published: December 2022

Abstract
Soil moisture is essential in monitoring agricultural lands, particularly in Jember, East Java which serves as one of Indonesian rice-producing regions. Scarcity of information related to the environment crucial to rice planting is evident. This includes detailed growth phase and soil moisture, where their estimation could be done through exploiting remote sensing data. This study aims to estimate soil moisture condition on paddy fields in selected study areas by applying Landsat 8 OLI/TIRS data, acquired in 2021. Thermal band of Landsat 8 was utilized to derive the Soil Moisture Index (SMI). This study also investigated the variation of vegetation index (studied using NDVI) and land surface temperature (LST) as parameters related to soil moisture conditions. Paddy fields in the study area were dominated by moderate soil moisture levels, with average SMI of 0.47, NDVI=0.45, and about 22°C temperature. The SMI ranged from 0.21 to 0.65. The low SMI values indicate low vegetation density and high surface temperature in paddy lands. This research suggested that SMI from Landsat 8 could serve as an efficient approach in monitoring soil moisture condition and understanding its correlation to surface temperature and vegetation condition in agricultural areas, particularly paddy fields.
Innovation of Electromagnetic Power Generator as Energy Sources for Sustainable Citronella Oil Processing
Authors: Iswahyudi  , Kusmana C , Karlinasari L , Pertiwi S , Mulatsih S 
Published: December 2022

Abstract
By planting citronella, the community has historically and culturally promoted citronella oil production for decades (Cymbopogon nardus L). The most common energy sources for distillation are distillation waste and firewood. The completion energy distillation of citronella oil is becoming more challenging as it becomes more difficult to obtain firewood and the price increases. This limitation renders citronella oil production untenable. For the distillation process, alternative energy sources with the attributes of Consolidated, Continue, Controllable, Clean, and Affordable are introduced, in this case, an electromagnetic power generator energy source. The research was carried out at Sirna Jaya Village, Gunung Halu District, West Bandung Province. The Electromagnetic Power Generator consists of three major components: 1. Starter for beginning rotation; 2. Electromagnet Guider for controlling the repulsion force between comparable magnetic poles, which is subsequently transferred to kinetic energy; and 3. Generator for producing electrical energy. It has been demonstrated that the power generator innovation can create 1500 watts of electrical energy and be scaled up. It has been demonstrated that the Electromagnetic Power Generator is a valuable energy source for processing citronella oil.
Cadmium (Cd) Heavy Metal Content in Central Java Shallot Production Center
Authors: Zu’amah H , Handayani C O , Dewi T 
Published: December 2022

AbstractCentral Java is one of the centers of shallot production in Indonesia. The number of anthropogenic activities in the area causes the accumulation of heavy metal contamination in the soil. This study aimed to determine the heavy metal content of Cadmium (Cd) in three regencies of shallot production centers in Central Java. The study was conducted in three regencies of shallot production centers in Central Java: Pati, Demak, and Brebes Regency. Soil samples were taken by the purposive sampling method. The highest Cd content was found in Brebes Regency at 3.53 mg kg-1, and the lowest was in Pati Regency with a value of 1.10 mg kg-1. The value of the geoaccumulation index shows the presence of Cd contamination from anthropogenic activities. In Pati and Demak Recency contaminated with Cd with moderate to heavy status, Brebes Regency showed Cd contamination as serious. The high content of Cd in the Brebes Regency with severe contamination status is thought to be due to the intensity of cultivation and the increased use of agrochemicals, fertilizers, and pesticides.
Changes in soil chemical properties due to the application of young coconut waste biochar and goat manure fertilizer on tomato (Solanum lycopersicum l.) cultivation land
Authors: Warzukni W , Zaitun Z , Jauharlina J 
Published: December 2022

Abstract
This study aims to determine the effect of young coconut waste biochar and goat manure application on the chemical properties of the entisol. The Biochar Research Station, Universitas Syiah Kuala, conducted the research. This study used a factorial randomized block design consisting of two factors. The first factor was the dose of young coconut waste biochar (0, 5, and 10 t ha-1), and the second was the dose of goat manure (0, 5, 10, and 15 t ha-1). Parameters observed in this study were soil chemical properties analysis of entisol (pH, organic C, total N, available P, and exchangeable K). The results showed that the young coconut waste biochar application could affect the soil’s chemical properties, especially the soil exchangeable K. Young coconut waste biochar application can increase the exchangeable soil K in tomato cultivation land. The application of goat manure did not affect the soil’s chemical properties in tomato cultivation land.
Biodiversity catastrophic: Overexploitation of the endemic fauna in East Nusa Tenggara, Indonesia
Authors: Hidayat O , Pramatana F 
Published: December 2022

Abstract
As the southernmost province, East Nusa Tenggara (NTT) encompasses the eastern part of the Lesser Sunda Archipelago. It has a unique landscape with more than 500 small islands providing habitat for many endemic species. Local communities depend significantly on natural resources. Due to uncontrolled poaching, the population of several native faunas has drastically decreased, such as the Yellow-crested cockatoo (Cacatua sulphurea), Sumba cockatoo (Cacatua citrinocristata), and Roti Island snake-necked turtle (Chelodina mccordi). All those species were common in the past. Cockatoos are even considered a pest for local crops like corn and sorghum. Roti Island snake-necked turtle is often found in the village’s paddy fields or irrigation canals. Unfortunately, they are listed on the red list International Union for Conservation of Nature (IUCN) Red List as critically endangered. We reviewed and compiled data from scientific papers, technical reports, unpublished reports, birding reports, and online sources. We also collected data on opportunistic surveys for searching the species from 2010 to 2021. The study showed that the yellow-crested cockatoo could not be found in many areas. The Sumba cockatoo population is now scattered in fragmented forests, and the Roti Island snake-necked turtle is highly likely to be extinct in the wild.