bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental evaluation of isentropic efficiency in turbocharger twin-entry turbines
Authors: Usai Vittorio , Cordalonga Carla , Marelli Silvia 
Published: December 2022

Abstract
Turbocharging plays a fundamental role not only in improving the performance of automotive engines, but also in reducing the fuel consumption and exhaust emissions of spark-ignited biofuel, diesel, liquid, and gaseous engines. Dedicated experimental investigations on turbochargers are therefore needed to evaluate a better understanding of its performance. The availability of experimental information on the steady flow performance of the turbocharger is an essential requirement to optimize the matching calculation. It is interesting to know the isentropic efficiency of the turbine in order to improve the coupling with the engine, in particular it is difficult to identify the definition of the turbine efficiency through a direct evaluation. In a radial turbine, the isentropic efficiency, evaluated directly starting from the measurement of the thermodynamic quantities at the inlet and outlet sections, can be affected by significant errors. This inaccuracy is mainly related to the incorrect evaluation of the turbine outlet temperature, due to the non-uniform distribution of the flow field in the measurement section. For this purpose, a flow conditioner was installed downstream the turbine. Tests were performed at different values of the rotational speed, and in quasi-adiabatic conditions. The flow field downstream the de-coupler was analysed through a hand-made three-hole probe with an exposed junction thermocouple inserted in the pipe with different protrusions. Thanks to this experimental campaign, it was possible to measure pressure, velocity, mass flow and temperature profiles necessary to examine the homogeneity of the flow field. As the turbocharger is fitted with a twin entry turbine, the thermodynamic quantities have been properly taken into account referring to each sector.
Optimal Quadratic Regulator PID for Motor DC
Authors: Pratama G N P , Setiawan N , Saputra S A , Pambudi L , Umam A D N , Hermansah M N P 
Published: December 2022

Abstract
There are various methods for optimizing the parameters of PID, such as Genetic Algorithm, Flower Pollination Algorithm, and many more. Those metaheuristics methods can be used on various applications. Nevertheless, the computational costs are quite expensive. In this paper, we design a PID controller based on the optimal regulator for a DC motor. It provides such an optimal solution that does not require highly computational resources. We simulate the responses of the closed-loop system using MATLAB. The results verify that the optimal regulated (PID-QR) has better response than Ziegler-Nichols based PID. It has no overshoot and smaller error tracking than the controller based on Ziegler-Nichols.
Batik Industrial Waste Monitoring and Control System Based on The Internet of Things
Authors: Ali M , Firdaus M F 
Published: December 2022

Abstract
The aims of this research are to (1) Design and build a Batik Industrial Waste Monitoring and Control System Based on the Internet of Things (BIWMCS -IoT); (2) Test the performance of the BIWMCS-IoT system. The design and implementation of the BIWMCS-IoT system consist of five stages, namely: (1) Needs analysis, (2) Design, consisting of electronic planning, hardware, and software; (3) Development, including hardware and software development; (4) Testing, and (5) implementation. The BIWMCS-IoT system consists of a sensor unit to measure the parameters of water turbidity, temperature, Power of Hydrogen (pH), and the flow velocity of the wastewater then obtained by the microcontroller and the results are sent to the Wi-Fi module to adjust the solenoid valve opening and closing. Based on the testing of the system, has been shown that the BIWMCS-IoT system can work well according to the standards in the Minister of Indonesian Environment Regulation Number 05 of 2014. The reading accuracy of the batik waste monitoring system reaches 96.6% with the delivery time to the smartphone less than 30 seconds. This shows that this system can work well to monitor and control the liquid waste produced by the batik industry.
Corn Leaf Disease Classification Using Local Binary Patterns (LBP) Feature Extraction
Authors: Rachmad Aeri , Syarief Mohammad , Rifka Silfia , Sonata Fifin , Setiawan Wahyudi , Rochman Eka Mala Sari 
Published: December 2022

AbstractCorn is a plant that is widely grown in developing countries such as Indonesia. To increase maize yields, researchers are always innovating on the current state of technology for classifying maize plant diseases. Three kinds of diseases attack corn leaves, namely Gray leaf Spot, Blight, and Common Rush. The amount of data that we use is 3500 data consisting of 500 Gray Leaf Spots, 1000 Blights, 1000 Common Rushes, and 1000 healthy leaves. This study aims to develop an artificial intelligence model. The artificial intelligence model that we developed uses LBP feature extraction combined with k-NN for the classifier. In addition to using the k-NN method, our tests were carried out using several classification methods such as Naïve Bayes and Adaboost. The result of our test is that the k-NN method has the highest value compared to the Naïve Bayes and Adaboost methods. The results of the performance using k-NN with k=5 resulted in a value of 81.1%, the AUC value of 94.1%, the F1-Score of 80.9%, Precision of 81.8%, and Recall of 81.1%.
New readout electronics for ATLAS ZDC detector
Authors: Korcyl K. 
Published: December 2022

Abstract
The ATLAS ZDC detectors located in the LHC tunnel detect far-forward neutrons emerging from interactions during proton-proton or lead-lead collisions. PMT signals are transferred over the 200 m long fast air-core cable to the electronics room. A new ZDC-LUCROD readout module is a 9U VME board capable of processing signals from 8 channels with the FADC sampling rate of 320 MHz. The primary modification w.r.t. the LUCID-LUCROD is the full integration with the ATLAS TDAQ and digital triggering based on the pipelined calculation of the signal second derivative with further processing using a programmable set of thresholds.
Pl@ntNet Crops: merging citizen science observations and structured survey data to improve crop recognition for agri-food-environment applications
Authors: van der Velde M , Goeau H , Bonnet P , d’Andrimont R , Yordanov M , Affouard A , Claverie M , Czucz B , Elvekjaer N , Martinez-Sanchez L , Rotllan-Puig X , Sima A , Verhegghen A , Joly A 
Published: December 2022

Abstract
We present a new application to recognize 218 species of cultivated crops on geo-tagged photos, ‘Pl@ntNet Crops’. The application and underlying algorithms are developed using more than 750k photos voluntarily collected by Pl@ntNet users. The app is then enriched by data and photos coming from the European Union’s (EU) Land Use and Coverage Area frame Survey (LUCAS). During five tri-annual LUCAS campaigns from 2006 to 2018, 242 476 close-up ‘cover’ photos of crops were collected. The survey protocol for these photos specified that ‘the picture should be taken at a close distance, so that the structure of leaves can be clearly seen, as well as flowers or fruits’. This unique labelled data provides an opportunity to further generalize the Pl@ntNet computer vision algorithms to recognize crops and enlarge their geographic representivity across the EU. To include LUCAS cover photos, we semantically match Pl@ntNet species and LUCAS legends, predict the species on LUCAS cover photos with the existing Pl@ntNet algorithm, and consider the accuracy of the classification and the number of species enriched by the photos. By setting a threshold of

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0.5 on the Pl@ntNet prediction probabilities, 70 170 LUCAS photos representing 101 species classified with an accuracy of 0.9 were added to the ‘Crops’ app. The thematic accuracy of the legacy LUCAS data was improved by distinguishing 218 species, opposed to the original 36 LUCAS levels. Official and publicly financed LUCAS datastreams can now be improved because of Pl@ntNet citizen science, photo collection, and deep learning model development. Further use of the app and policy-relevant workflows in the agri-food-environment domain are discussed.
Valuing ecosystem services provided by land commons in India: implications for research and policy
Authors: Sandhu Harpinder , Zhang Wei , Meinzen-Dick Ruth , ElDidi Hagar , Perveen Saiqa , Sharma Janvi , Kaur Japneet , Priyadarshini Pratiti 
Published: December 2022

Abstract
Commons provide many ecosystem services that support the livelihoods of billions around the world. However, their contribution to people and the economy are rarely estimated in economic terms. Here, we estimate the economic contribution of the land-based commons in India, which cover 66.5 million hectares. We conducted a systematic literature review of publications between 1990 and 2020 and selected 161 peer-reviewed studies to develop an ecosystem services valuation database for India. We identified 34 ecosystem services from this database. We estimate that forest commons provide ecosystem services worth $2108 ha−1 yr−1. Culturable wastelands and permanent pastures, and other grazing lands provide $861 ha−1 yr−1 each, and barren and unculturable lands provide $196 ha−1 yr−1. Using the value transfer method, the average value of ecosystem services provided by land commons in India is estimated at $90.5 billion yr−1 (range $24–192 billion). This broad range reflects the status and condition of those commons. Based on the trends in the decline of land-based commons, we estimate the value of ecosystem services will decline to $68 billion by 2050: $750 million worth of ecosystem services can be lost each year over the next 30 years. This will have devastating implications for rural populations that depend on the commons for livelihoods and the delivery of critical ecosystem services. We highlight the need to use ecosystem services valuation in decision-making and policy to protect and sustainably manage commons in India.
Life Cycle Sustainability Assessment Review: Decision Making Category in Electrical-Vehicle Type
Authors: Islami Salsa Bila Dian , Azzahra Faradhina , Sari Diana Puspita 
Published: December 2022

Abstract
The use of electric vehicles (EV) has begun to be widely used and is predicted to continue to increase. It has a positive impact on some aspects of the economy and society. Still, it has negative impacts, especially on the environmental aspect, such as hazardous and toxic waste, a huge water footprint, and exploitation of material for the production process, which cause damage to ecosystems. This study aims to figure out the advantages and disadvantages of EV types and provide recommendations on which one is the best EV for use. This study was done by the systematic review method that used the LCSA method, a combination of LCA, LCC, and S-LCA. This study assessed several types of electric vehicles: ICV, HEV, PHEV, and BEV. From an environmental aspect, ICV dominated the worst score than other types. From a social aspect, no specific EV contributed to a higher impact, but HEV had the highest reduction potential on human health. From an economic aspect, HEV were considered less profitable than the others. In the end, PHEV type was more potentially used due to giving a lower impact than the other types. Furthermore, this study could help public society decide the types of EV batteries based on their need.
Creating Peatland Restoration Policy for Supporting in Indonesian Economic in a Sustainable Way
Authors: Pratama Irfandi , Purnomo Eko Priyono , Mutiaran Dyah , Adrian Maisarah Mitra , Sundari Cici 
Published: December 2022

Abstract
As large tracts of degraded peatlands are caused by conversion and fires, peat restoration is carried out to restore peat ecosystems to their natural condition and support the socioeconomics of communities around peatlands that are affected because they depend on the resources provided by peatlands as livelihoods. This study aims to see the implementation of peat restoration in the Rewetting, Revegetation, and Revitalization (3R) approach in Jambi Province. The research focuses on the economic revitalization of people’s livelihoods. This research method is exploratory qualitative, while data collection is through interviews, observations, documentation, and literature: data analysis techniques, data reduction, data presentation, and conclusion drawing. The results of research on the implementation of peat restoration in Jambi Province have been carried out since 2018; the implementation of the 3R has not been optimal, which is still far from the target set. In particular, assistance for the economic revitalization of people’s livelihoods lacks help, so the program’s sustainability is stopped halfway. In addition, the collaboration and coordination of the Regional Peat Restoration Team (TRGD) agencies did not go well.
Decoding Spatial Configuration: Resiliency in the Periphery (Case Study: Sedati Sidoarjo)
Authors: Mutia Fairuz , Safeyah Muchlisiniyati , Susanti Wiwik Dwi 
Published: December 2022

Abstract
Rural and urban communities merge. Sedati’s districts are vulnerable due to a lack of infrastructure, dispersed populations, disaster management capacities, and subsistence. A city is resilient if its citizens can survive and recover from a disaster. These relationships allow for implementing programs that promote urban and rural resilience. How do urban spatial patterns affect resilience determinants? This research examines the typo-morphological urban layout of Sedati District to discover the periphery’s resilience and current situation. By using typo – morphological analysis and space syntax analysis researcher seeks the configuration of typology and morphology of the area. The results show that global connectivity and integration exist only in the center of Sedati District (HH3). Disconnecting two nodes won’t stop the network if there are multiple pathways. Sedati’s axial lines cease in space. Decreases road strength. Controlling expansion and using land efficiently, fostering urban and peri-urban agriculture, and making urban hubs inaccessible to nature are local solutions. Sedati lacks mixed-use clusters and pedestrian mobility. Urban livelihood, activity, and total life resilience reflect a ‘center-periphery’ spatial structure with expanding and declining gradients. Looping spatial syntactic configurations are needed for a robust urban fabric. Mixed-use land helps urban clusters’ peripheries.
Spatial Study of Oil Palm Plant Health Using Sentinel 2 Imagery at PTPN VIII Cikasungka Plantation, Bogor, West Java
Authors: Akmal Zakiy , Wibowo Adi , Hernina Revi , Pin Tjiong Giok 
Published: December 2022

Abstract
Oil palm (Elaeis guineensis Jacq.) is a plantation commodity that is the highest producer and exporter in Indonesia and has high economic value. Increasing oil palm productivity requires several factors, one of which is plant health. Therefore, detecting the health condition of oil palm plants requires research with spatial analysis and a remote sensing method that can monitor plantation data collection strategies efficiently and effectively. One of them is Sentinel-2 using the NDVI algorithm. The algorithm can estimate the relationship between vegetation and health conditions. This study resulted in very healthy plants having NDVI values ranging from 0.80-0.85, healthy plants having NDVI values ranging from 0.76-0.80, critical plants having NDVI values ranging from 0.72-0.76, and unhealthy plants having NDVI values ranging from 0.68-0.72. The distribution of the NDVI value at the PTPN VIII Cikasungka Plantation in January 2022 has a high NDVI value and is spread over every area of the district.
Diagenesis of Subang Formation in Cibeet River, Bogor, West Java
Authors: Nasution R S , Luthfiyyah A , Aditiyo Rezky , Septyandy M R 
Published: December 2022

Abstract
Subang Formation is one of many turbidite flow-induced sediment that built Bogor Trough, Java. Despite its marine origin, the exposure to the meteoric environment and burial process caused this formation to go under diagenesis, thus altering its primary characteristics. Intensive cementation by equant calcite, feldspar alteration, and grain dissolution indicates diagenesis in a meteoric environment. The cementation process filled primary and secondary pores, decreasing the primary porosity. On the other hand, the dissolution of the grain formed new secondary porosities. The presence of stylolites and fractured fragments indicated the formation had experienced burial. Although compaction often decreases rock’s porosity, the fracturing of the rocks due to compaction leads to fracture porosity formation, increasing rock’s porosity. Analyzing the compaction signs that destroyed the cementation and dissolution features in the rock samples, it is assumed that the diagenesis had occurred in the meteoric environment before it occurred in the burial environment. This study showed that the heterogeneity of the Subang Formation in the Cibeet River resulted from all these diagenesis processes mentioned above. Furthermore, the diagenesis study of the Subang Formation can be implemented as a preliminary stage to determine the quality of the petroleum reservoir. Diagenesis of Subang Formation in Cibeet River, Bogor, West Java.
Environmental Impact Assessment on Plastic Waste Recycling Business in Bengkulu City, Indonesia
Authors: Puspita Sisilia Dwi , Sodri Ahyahudin , Utomo Suyud Warno 
Published: December 2022

Abstract
In Indonesia, small-scale plastic recycling businesses dominate the plastic waste recycling business. The practice of plastic waste recycling in developing countries also does not pay attention to the Environment and is not energy and material efficient during the process. Andusti Simpari company in Bengkulu City is one of the small-scale plastic waste recycling companies that face common problems such as the use of human labor, inefficient energy, and lack of liquid waste management, which has the potential to cause eutrophication and produce greenhouse gases in the form of CO2 which can contribute to global warming. This study aims to assess the environmental impact of eutrophication and the global warming potential (GWP) of businesses using the Life Cycle Assessment (LCA) method. Cradle to grave LCA is applied to small-scale plastic waste recycling, with 1000kg of shredded plastic/day production capacity. From the LCA analysis, it is known that to produce 1 kg of shredded plastic can produce as much as 0.97363 KgCO2eq of pollutants that contribute to the Global Warming Potential (GWP) and eutrophication of 0.01492 kg PO4.
Processing Efforts and Resource Efficiency in Achieving Green Campus at the State University of Surabaya, Indonesia
Authors: Rahaju Tjitik , Megawati Suci , Meirinawati  , Prabawati Indah , Fanida Eva Hany , Arianto Kurniawan Fery , Salsabila Faza Saila 
Published: December 2022

Abstract
Efforts to reduce global warming based on green campuses are still not widely realized. A green campus is one of the concepts to build a sustainable campus that is environmentally friendly in higher education institutions. A long-term strategy is needed to create a green campus. This study aims to describe efforts to manage and utilize resources to create a green campus area and promote it as an alternative to sustainable campus management at the State University of Surabaya (Unesa). This research is descriptive. The data collection technique was carried out using a literature study approach, collecting, classifying, analyzing, visualizing, validating data, and drawing conclusions. This study found that in realizing a green campus in universities, management actions and resource utilization were needed to initiate the presence of Unesa’s green campus, namely an eco-campus with efficient governance. The management and efficiency of resources at the State University of Surabaya have not only succeeded in bringing about efforts to manage a green campus at the institutional level but also proved that a green campus can have implications for the concept of sustainable development. This study has limitations on the sources of data obtained by the author. However, this limitation opens up opportunities for other researchers to fill it. Realizing a green campus can be an alternative solution amid global efforts to achieve SDGs goals.
The Management Concept of Mountain-Based Destination through Carrying Capacity Analysis
Authors: Rahmafitria Fitri , Nurazizah Ghoitsa Rohmah 
Published: December 2022

Abstract
The increasing number of tourists and the intensive development of infrastructure can lead to the decline of the carrying capacity, especially if ignoring the concept of sustainable management. The preservation aspect embellishes the focal concern in mountainous areas, while the increasing number of tourists has become the main reason to gain financial benefits. The research aims to assess the carrying capacity level in Situ Patengang Nature Park, Bandung. The study was carried out using a descriptive-explanatory approach with three different analytic methods: 1) GIS analysis to map the carrying capacity zones, 2) Important-Performance comparison analysis to assess the management performance, and 3) Triangulation analysis to arrange the tourism development concept. The results show that most Situ Patengang Nature Park areas have low carrying capacity, medium quality of the environment, high tolerance of natural resources, less dispersion of tourist activities, fewer benefits of natural resources, and low environmental management. The development concept of Situ Patengang Nature Park should apply the five principles of ecotourism which lead to ecologically, financially, and socially sustainable activities. For the zonation, the management should bind the core zone in high carrying capacity zones, a service zone in the medium carrying capacity zone, and a buffer zone in the low carrying capacity zone.
Self-Reported Pharmaceutical Storage, Use, and Improper Disposal to The Environment Among Urban Parents in Indonesia
Authors: Nastiti Anindrya , Riyanto Arlieza Raudhah , Supriatin Ade , Roosmini Dwina , Kusumah Siska WD , Milhan Rumaisha , Geerling Gertjan 
Published: December 2022

Abstract
Pharmaceuticals are increasingly used to treat and prevent disease globally. However, this trend has the potential to increase pharmaceutical discharge into the environment, especially from households. Pharmaceuticals released into the environment can harm human health, e.g., antimicrobial resistance. Thus, it is important to understand the drivers of pharmaceutical use, storage, and disposal among the community. The main objectives of this study are twofold: (1) to identify the commonly stored and used pharmaceuticals based on its classification; and (2) to identify the disposal method of unused pharmaceuticals at home. In October 2018, an exploratory online survey was conducted on 262 urban parents in the Jabodetabek area and Bandung with children ≤5 years old. This online survey revealed that the most stored medicine at home was acetaminophen. Irrational use of medicines was more common in the treatment-seeking behavior of parents rather than children. Doctor’s prescription is the most factor affecting buying decisions of pharmaceuticals at home, whether for themselves or their children. In most cases, pharmaceutical waste was treated as domestic waste, which was improper disposal. To reduce improper use and disposal, we suggest a targeted campaign to raise awareness of pharmaceutical waste’s unintended health and environmental impacts.