bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Ergonomic Factor Measurement for Transjakarta Bus Drivers
Authors: Liawdy J , Hartanto I , Sahroni T R 
Published: April 2024

Abstract
Transjakarta transportation accidents have increased from year to year. Transjakarta buses having an accident can result in the driver not feeling comfortable while driving so that the driver experiences a lack of concentration. Therefore, the authors conducted a study that aimed to investigate the ergonomic factors experienced by Transjakarta bus drivers. The author uses the Rapid Upper Limb Assessment (RULA) method by taking 30 Transjakarta bus driver data and by using the Nordic Body Map (NBM) method by taking 30 driver data using a questionnaire. The results of the RULA method have been used to test the correlation using the Minitab software. The results of the RULA on reaching the steering wheel activity were 3-4 which means that further investigation was needed and may require changes to improve. And for the average time to reach the button was 5-6 which means the need for immediate investigation and change. NBM results show that most of them experience pain in the waist so that it is necessary to improve the position of the waist. Correlation Test Results The activity of reaching the button and the activity of reaching the steering wheel is -0.209 and the P-Value is 0.268 so that the results of an inverse relationship between the activity of reaching the steering wheel and reaching the button are found. The greater the activity reaches the wheel, the smaller the activity reaches the button. The correlation found has a very weak relationship between variables.
Occupational safety & health risk analysis in formwork in high-rise building projects
Authors: Arumsari Putri , Satriya Pramuda Arya , Wibawa Eri Dwi , Putri Annisa Dewanti 
Published: April 2024

Abstract
The implementation of Occupational Health and Safety Management systems remains a significant concern, particularly in the context of multi-storey building construction projects. Within the realm of these complex endeavors, the management of work-related accidents during formwork operations is of paramount importance. This research employs a rigorous methodology involving questionnaire distribution and interviews, complemented by advanced analytical tools such as the Frequency Adjusted Importance Index (FAII) and Bow Tie Analysis. The study focuses on the Indonesian Development University’s high-rise building project, systematically assessing potential hazards associated with formwork activities. Furthermore, this research evaluates the inherent risk levels and proposes comprehensive control measures to mitigate these hazards effectively. By shedding light on the intricate interplay between safety management and high-rise construction, this study contributes to the enhancement of occupational safety and health practices in the construction industry, ultimately promoting safer and more efficient work environments.
Transformation of National Housing’s Layout Design in PERUMNAS Sarijadi Bandung
Authors: Kirana Dini Cinda , Ramadina Savitri Putri , Kusumawardhani Seruni , Radhitanti Asri , Christina  
Published: April 2024

Abstract
PERUMNAS (“Perumahan Nasional”/National Housing) was established in 1974 to provide decent housing for the lower middle class in Indonesia by the government. One of their projects was done in Sarijadi area, Bandung in 1976-1978. The typical PERUMNAS house in Sarijadi was based on Type 36, named after the building area which was around 36 m2. As time changed, the people’s needs, and behaviour also evolved, and it also affected the contemporary PERUMNAS layout. As such, Type 36 house may be evolved into a growing house, in a sense that it is able to be developed, usually vertically, by stages based on standard housing minimum cost to accommodate the evolving needs of the occupants. This paper will analyse one such growing type 36 PERUMNAS house case, which is located in PERUMNAS Sarijadi, Bandung, West Java. The house was initially built in 1976-1978, and several renovations were done in 1994, 2007, and 2017 as the family grew. By observing the layout transformation, the results showed that the occupants adapted to the original layout by developing the building vertically to add private areas and utilizing the front and the backyard to make new service areas. In the future, homeowners can adapt to shifts in activity by carrying out sustainable transformations in the form of additional functions which then result in different zoning.
Analysis of the effectiveness of using EPS sandwich panel versus lightweight bricks at residential project: Case study at residential houses in Jakarta
Authors: Wangidjaja W 
Published: April 2024

Abstract
Effectiveness in material selection in construction projects has a major impact on the use of costs incurred during the construction period. The quality used must also be in accordance with standards based on building functions and have national standard quality. The implementation time on residential project construction projects that require work to be completed quickly in accordance with good results and in accordance with those stated in the contract must be carefully designed and planned. Data collected from literature and catalogues, and recorded from site will be analysed and discussed Therefore, the purpose of this study is to find out and choose the use of effective non-structural material as a wall for residential projects.
Effect of the output of heritage designation on visitors’ motivation to visit the historic Kompleks Pasar Baru, Jakarta
Authors: Patria T A , Irena F , Phungpumkaew H 
Published: April 2024

Abstract
This study examined the relationship between the output of heritage designation on visitors’ motivation to visit the historic Kompleks Pasar Baru in Jakarta. The output of the heritage designation in this study was focused on the tourism products, which included attraction, accessibility, and amenities. Thus, it used a quantitative approach to investigate the relationship between the two variables. The survey involved 150 respondents who filled out questionnaires, which consisted of 28 statements reflecting indicators in the tourism products variable and 13 in the visitors’ motivation variable. A 5-scale Likert was used, ranging from 1 to represent Highly Disagree through 5 Highly Agree. The data obtained was processed using SPSS, which included validity, reliability, classic assumption, simple linear regression analysis, and hypothesis tests. Findings showed there is a strong effect of the provision of tourism products as a consequence of heritage designation at Pasar Baru on visitors’ motivation to the area for as many as 91.1%. This study contributes to the heritage tourism knowledge, particularly related to heritage designation and visitors’ motivation as a consequence of the designation. Further study can be conducted, such as an exploration of the 8.9% of the remaining unknown factor.
Cost and Duration Analysis on the Variation of Soil Improvement Method on Port Development at West Java
Authors: Suhardjo G A , Setyandito O , Andryan  , Farell  , Syahputra M Y 
Published: April 2024

Abstract
Several port facilities, including a container terminal, was built in a port reclamation project in Subang Regency, West Java. The soil improvement method employed in most reclamation projects usually involves prefabricated vertical drains, deep cement mixing (DCM), pile method, etc. This study aims to analyze the varying soil improvement methods, specifically deep cement mixing method and the pile method using bamboo piles and compare them for work efficiency based on time and cost. The methodology used in this study included literature studies, and qualitative analysis based on keyword. Based on the analysis results on the aspect of duration, the preparation, installation/design, and installation of barriers with geotextile reinforcement, backfilling, and pavement for the DCM and pile method required 743.15 days and 763 days respectively. The cost review, which referred to the unit price of Minister of Public Works and Housing Regulation No. 1 year 2022, found that the DCM method requires higher costs than piles. The analysis results also shown that the DCM method is more efficient due to the process in the DCM method has a fast installation duration, does not require many human resources on one job, and the materials used are environmentally friendly and more durable in water.
Identifying children’s perception of interior space to the earthquake disaster: A case study of elementary school students in Jakarta
Authors: Chadijah Siti , Hanjani Tika , Abdullah Nazilah , Kumoratih Dewi 
Published: April 2024

Abstract
Earthquake disasters affected several physical damages and left traumatic experiences to sensitive groups, especially children. This kind of damage results in after-effect risks from the earthquake. Associated with this condition, the United Nation has published that the number of countries with disaster risk reduction strategies starting in 2015 should be increased. This research is aimed to identify children’s perceptions after the earthquake disaster through virtual settings. The framework used a literature review and a simulation of 3D virtual model testing on a group of elementary school students in Jakarta using a certain model type of room and aperture (window). Colour and window size are the main parameters for data showing the children’s preferences. Potential parameters are expected to be produced as guidance and recommendations on the post-disaster (earthquake-specific) in the future design decision. The parameters are aimed to help decision makers and designers to reach disaster risk reduction, in relation with SDGs on social aspect for the future sustainable development of resilient infrastructure, communities, and cities.
Improvement and analysis of aircraft maintenance flow process using lean manufacturing, PDCA, PICA, and VSM for sustainable operation system
Authors: Khair Fauzi , Putra Muhammad Alif Sofyansyah , Rizkia Irma 
Published: April 2024

Abstract
The aircraft maintenance process plays a crucial role in ensuring the safety and reliability of air travel. However, this process often encounters inefficiencies and waste, reducing productivity. This study aims to analyze the flow of the aircraft maintenance process and identify areas for improvement using Lean Manufacturing, Plan-Do-Check-Act (PDCA), Problem Identification and Corrective Action (PICA), and Value Stream Mapping (VSM) methods within a sustainability system. This study demonstrates how non-value-adding (NVA) and necessary but non-value-adding activities (NNVA) contribute to maintenance process delays, waste generation, and decreased process efficiency. It also underscores the impact of waste on process performance and proposes potential time savings through focused improvements. The result revealed that inventory wastage was the most prevalent issue, accounting for 9 out of 26 activities, followed by waiting for wastage with seven activities and defects with 5 activities. These wasteful activities are primarily concentrated in phases 3, 4, and 5, encompassing inspection, repair, and installation phases. Consequently, there is a pressing need to enhance efficiency in all phases, particularly phases 3, 4, and 5, by targeting non-value-added activities. Implementing these improvements can reduce the total process time from 18,229 minutes to 15,170.2 minutes, offering a detailed roadmap for enhancing the aircraft maintenance process. Thus, this study is an alternative consideration for the aircraft maintenance industry to ensure a continuous improvement process in facing the challenges of global industry innovation as the category of Sustainable Development Goals (SDGs).
Promoting Water Sustainability through Degradation of 4-Nitrophenols by Spirodela polyrrhiza and Rhodococcus sp. Strain PKR-1 Association
Authors: Kristanti Risky Ayu , Wijayanti Yureana 
Published: April 2024

Abstract
The removal of chemicals from water sources that are harmful to humans and the environment can contribute to improving water quality. Biological treatment methods, such as bioaugmentation are an environmentally sustainable approach for pollutant removal. The 4-nitrophenol is the most hazardous nitrophenol chemical pollutant. In this study, a laboratory investigation was conducted on a flask scale to evaluate the rhizoaugmentation of 4-nitrophenol-polluted water. This was achieved by employing Rhodococcus sp. strain PKR-1, which was reintroduced into the roots of Spirodela polyrhiza. The selected strains were inoculated into the root at the rate of 104 to 106 colony-forming units (CFU) per plant. At high levels exhibited stability across five consecutive two-day degradation cycles, and full elimination of 4-nitrophenol was accomplished within these five repeated cycles. Therefore, the introduction of degraders into the root systems of aquatic plants has proven to be a successful method for treating effluents or aquatic resources contaminated with 4-nitrophenol.
The Effect of Curdlan Hydrocolloid on The Characteristics and Sensory of Non-Gluten Noodles
Authors: Angelina Emily , Waspodo Priyo 
Published: April 2024

Abstract
This study aims to determine the effect of the addition of curdlan hydrocolloid on the texture of non-gluten noodles. This research was conducted with 10 treatments (sorghum flour + 0.1% curdlan, sorghum flour + 0.3% curdlan, sorghum flour + 0.6% curdlan, mocaf flour + 0.1% curdlan, mocaf flour + 0.3% curdlan, mocaf flour + 0.6% curdlan, purple taro flour + 0.1% curdlan, purple taro flour + 0.3% curdlan, purple taro flour + 0.6% curdlan, wheat flour + 0% curdlan). Observational data were processed using Two-Way ANOVA, One-Way ANOVA, and Independent T-test. The results showed that the addition of curdlan hydrocolloid and type of flour used had an effect on elongation, rehydration capacity, water holding capacity, carbohydrate content, protein, fiber, and organoleptic results in taste, aroma, color, texture, and overall panelist acceptance with the best formula being purple taro flour + 0.6% curdlan.
Comparison of different methods for evaluating the antioxidant activity of instant Torbangun (Coleus amboinicus L.) drinks
Authors: Rusandi F S , Sadek N F 
Published: April 2024

Abstract
Torbangun (Coleus amboinicus L.) is a natural breast milk stimulant with antioxidant activity. This study aimed to compare the antioxidant activity of instant Torbangun drinks (ITD) ethanolic extract using DPPH (2,2-diphenyl-1-picrylhydrazil), ABTS (2,2-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid), and FRAP (Ferric Reducing Antioxidant Power) methods. Ethanolic extract of commercial Torbangun tea (CTT) and lactation booster milk (CLM) was also included in all analyses as a product reference. At the same time, vitamin C was used as an antioxidant standard. The antioxidant activity was expressed as EC50 value. Among breastmilk booster drinks, the sample with the highest antioxidant activity obtained from ABTS and FRAP methods was ITD (EC50 18.26 mg/mL) and CLM (EC50 0.187 mg/mL), respectively. Assessing with the DPPH method, the activity of ITD and CLM was not significantly different (EC50 35.200 mg/mL and 33.035 mg/mL, respectively), and those were higher than that of CTT (EC50 52.22 mg/mL). However, the antioxidant activity of all products was significantly lower than vitamin C in all analysis methods (EC50 < 0.05 mg/mL). This finding was proposed due to different antioxidant compounds and antioxidant mechanisms among breast milk booster products. This study also revealed that ABTS and FRAP were the most suitable methods for determining antioxidant properties in all samples.
Smart irrigation system: an IoT based approach prototype
Authors: Mapakama Ellis Pax , Astriani Maria Seraphina 
Published: April 2024

Abstract
Agriculture, especially crop cultivation, is one of the most important economic activities that contributes to the growth of most developing countries. Mostly practiced in African countries crop cultivation depends on irrigation and improvements in irrigation methods can improve yields. The use of IoT, cloud technologies and microprocessors like Raspberry Pi can be used to create better irrigation solutions. This research takes advantage of these technologies to create a smart irrigation system prototype that would improve irrigation methods for farmers. This system uses a Raspberry Pi, sensors for soil moisture, pH, temperature and humidity, a web application, and a cloud-based database. The smart irrigation system assesses environmental conditions by analyzing data from the sensors and comparing it to the values stored in the database which determine the conditions needed to cultivate the crop. Results from testing the system show that irrigation actions were successful after analyzing soil moisture; when moisture is low, pH range; higher or lower and temperature; higher than required, while no irrigation was triggered when all conditions were in required bounds according to the values saved in the database for the maize crop. Unfortunately, humidity sensor yielded erroneous readings that could not be used to decide whether irrigating the field was required.
Effect of aging on the mechanical properties of woven fabric-reinforced calcined diatomite substituted cement-based composites
Authors: Bozkurt Ercan , Türkel Selçuk , Felekoğlu Burak , Korkmaz Mehmet 
Published: April 2024

Abstract
The mechanical characteristics of polyester and flax woven fabric-reinforced, diatomite-substituted, cement-based composites have been examined at different ages within the scope of this study. The use of calcined diatomite in combination with a cement-based matrix aims to improve the mechanical performance within the composite as well as reduce carbon emissions. The consistency of cement-based and diatomite-substituted matrices with water-to-binder proportions of 0.28 and 0.45 was maintained at a fixed flow diameter of 235 mm with the adjusted use of a superplasticizer. The stress–strain graphs of the composites were obtained using an axial tensile testing machine and Linear Variable Differential Transformers (LVDT). The tensile strength, ductility, toughness development, and multi-crack performance of WFRC were obtained as a function of fabric type and aging. The effects of aging on tensile properties are discussed separately for each fabric type. Polyester woven fabric-reinforced composites were found to be superior to flax WFRC in terms of several mechanical properties at all ages. The substitution of diatomite further improved the tensile performance of the polyester woven fabric-reinforced composites. The fabric-matrix interface densification role of diatomite was determined by SEM/EDS line analysis. Evidence of a pozzolanic reaction between portlandite and diatomite was obtained through microstructure studies. Carbon emission analysis revealed that equivalent CO2 emissions could be reduced using diatomite in woven fabric reinforced composites. However, diatomite substitution caused a cost increasing effect.
Predicting short- to medium-term care home admission risk in older adults: a systematic review of externally validated models
Authors: Ho Leonard , Pugh Carys , Seth Sohan , Arakelyan Stella , Lone Nazir I , Lyall Marcus J , Anand Atul , Fleuriot Jacques D , Galdi Paola , Guthrie Bruce 
Published: April 2024

Abstract

Introduction
Predicting risk of care home admission could identify older adults for early intervention to support independent living but require external validation in a different dataset before clinical use. We systematically reviewed external validations of care home admission risk prediction models in older adults.

Methods
We searched Medline, Embase and Cochrane Library until 14 August 2023 for external validations of prediction models for care home admission risk in adults aged ≥65 years with up to 3 years of follow-up. We extracted and narratively synthesised data on study design, model characteristics, and model discrimination and calibration (accuracy of predictions). We assessed risk of bias and applicability using Prediction model Risk Of Bias Assessment Tool.

Results
Five studies reporting validations of nine unique models were included. Model applicability was fair but risk of bias was mostly high due to not reporting model calibration. Morbidities were used as predictors in four models, most commonly neurological or psychiatric diseases. Physical function was also included in four models. For 1-year prediction, three of the six models had acceptable discrimination (area under the receiver operating characteristic curve (AUC)/c statistic 0.70–0.79) and the remaining three had poor discrimination (AUC &lt; 0.70). No model accounted for competing mortality risk. The only study examining model calibration (but ignoring competing mortality) concluded that it was excellent.

Conclusions
The reporting of models was incomplete. Model discrimination was at best acceptable, and calibration was rarely examined (and ignored competing mortality risk when examined). There is a need to derive better models that account for competing mortality risk and report calibration as well as discrimination.
Deep IDA: a deep learning approach for integrative discriminant analysis of multi-omics data with feature ranking—an application to COVID-19
Authors: Wang Jiuzhou , Safo Sandra E 
Published: April 2024

Abstract

Motivation
Many diseases are complex heterogeneous conditions that affect multiple organs in the body and depend on the interplay between several factors that include molecular and environmental factors, requiring a holistic approach to better understand disease pathobiology. Most existing methods for integrating data from multiple sources and classifying individuals into one of multiple classes or disease groups have mainly focused on linear relationships despite the complexity of these relationships. On the other hand, methods for nonlinear association and classification studies are limited in their ability to identify variables to aid in our understanding of the complexity of the disease or can be applied to only two data types.

Results
We propose Deep Integrative Discriminant Analysis (IDA), a deep learning method to learn complex nonlinear transformations of two or more views such that resulting projections have maximum association and maximum separation. Further, we propose a feature ranking approach based on ensemble learning for interpretable results. We test Deep IDA on both simulated data and two large real-world datasets, including RNA sequencing, metabolomics, and proteomics data pertaining to COVID-19 severity. We identified signatures that better discriminated COVID-19 patient groups, and related to neurological conditions, cancer, and metabolic diseases, corroborating current research findings and heightening the need to study the post sequelae effects of COVID-19 to devise effective treatments and to improve patient care.

Availability and implementation
Our algorithms are implemented in PyTorch and available at: https://github.com/JiuzhouW/DeepIDA
Large-scale structure-informed multiple sequence alignment of proteins with SIMSApiper
Authors: Crauwels Charlotte , Heidig Sophie-Luise , Díaz Adrián , Vranken Wim F 
Published: April 2024

Abstract

Summary
SIMSApiper is a Nextflow pipeline that creates reliable, structure-informed MSAs of thousands of protein sequences faster than standard structure-based alignment methods. Structural information can be provided by the user or collected by the pipeline from online resources. Parallelization with sequence identity-based subsets can be activated to significantly speed up the alignment process. Finally, the number of gaps in the final alignment can be reduced by leveraging the position of conserved secondary structure elements.

Availability and implementation
The pipeline is implemented using Nextflow, Python3, and Bash. It is publicly available on github.com/Bio2Byte/simsapiper.