scholarly journals Generation Z Awareness on Food Waste Issues (a Study in Tangerang, Indonesia)

2021 ◽  
Vol 6 (2) ◽  
pp. 329
Author(s):  
Diena Mutiara Lemy ◽  
Audrey Rahardja ◽  
Cynthia Swastika Kilya
Keyword(s):  
United Nations ◽  
Data Processing ◽  
Food Waste ◽  
Next Generation ◽  
Environmental Preservation ◽  
Food Loss ◽  
Generation Z ◽  
Surrounding Areas ◽  
United Nations Food ◽  
Waste Food

With resources becoming scarcer, waste of food is something to be avoided. Food waste must be minimized by using various ways to avoid waste in terms of food loss and food waste. In Indonesia itself, without realizing it, the issue of leftover food becomes very big. According to the Head of Representative of the United Nations Food Agency (FAO), Mark Smulders, of the approximately 1.3 trillion tons of food that was lost or wasted, Indonesia contributed around 13 million tons of food waste (food loss and food waste). This study will explore Generation Z's level of awareness of leftover food in Indonesia, especially in the Tangerang and surrounding areas. This research is exploratory in nature. The method is used to research something (which attracts attention) that is not yet known, not understood, or not well recognized. The date is collected using questionnaire that were distributed to respondents, namely Generation Z in Tangerang and its surrounding areas. From the results of data processing and tests carried out in this study, it can be concluded that the current awareness of Generation Z on the issue of leftover food must be raised, because the issue of leftover food itself is one of the issues of environmental preservation. The level of awareness of the issue of leftover food from Generation Z as the next generation must be increased, because only less than half of respondents are aware of this issue of leftovers.

Food losses and food waste: The Industry 4.0 opportunity for the sustainability challenge

2020 ◽  
pp. 159-177
Author(s):  
Roberto Ruggieri ◽  
Giuliana Vinci ◽  
Marco Ruggeri ◽  
Henry Sardaryan
Keyword(s):  
United Nations ◽  
Environmental Impacts ◽  
Food Waste ◽  
Industry 4.0 ◽  
Eating Habits ◽  
Negative Effects ◽  
Food Loss ◽  
Food And Agriculture ◽  
Food Losses ◽  
Global Food

United Nations in 2011 estimated every year worldwide around 1.3 billion tons of food is lost or wasted. According to a 2018 analysis by the Boston Consulting Group, this figure will reach 2.1 billion tons in 2050. FAO is trying to quantify food waste again, and according to his report "The state of Food and Agriculture 2019", 14% of production global food is lost or wasted even before it is sold. Food loss and waste are therefore unsustainable and no longer acceptable issues and reduc-ing them is becoming a priority. The negative effects of these problems are con-nected to the scarce availability and consumption of food, but also to sustainabil-ity and environmental impacts. In this regard, it will be necessary to change our eating habits. Industry 4.0 innovations can provide opportunities to reduce food waste and loss, as well as to adopt a healthier and more sustainable lifestyle.

scholarly journals Food loss in a hungry world, a problem?

2014 ◽  
Vol 32 (2) ◽  
pp. 283-293 ◽  
Author(s):  
Natalia Martínez Z. ◽  
Zoila Menacho P. ◽  
Fabio Pachón-Ariza
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Food Waste ◽  
Developed Countries ◽  
Industrialized Countries ◽  
Food Supply Chain ◽  
Food Loss ◽  
The World ◽  
Waste Food ◽  
Food Wastage

Mainly in developing countries, food loss and waste is a problem that is difficult to measure. Investigations have been conducted in industrialized countries; however, consistent evidence of how much is really being depleted is limited. The accessible data give the illusion of evidence, but are supported by very restricted facts. In recent years, food waste and loss have gained importance because more than 35% of food is wasted. Nevertheless, with this percentage of food, most of the 800 million people that go hungry every day in the world could be fed. This reflection paper aims to describe the different approaches and meanings of food waste, food loss and food wastage. Similarly, this article identifies the phases of the food supply chain where food is being lost and wasted. Based on the available data, developed and developing countries are compared. It was concluded that, in developed countries, the most important losses are in the consumption phase; in developing countries, the losses take place in the growing and harvesting phase. Changing consumption habits as well as the improvement of cropping and harvesting processes could be an option for reducing this problem, especially in developing countries.

CLASS-BASED MACHINE LEARNING FOR NEXT GENERATION WELLBORE DATA PROCESSING AND INTERPRETATION

2019 ◽  
Author(s):  
Vikas Jain ◽  
Po-Yen Wu ◽  
Ridvan Akkurt ◽  
Brook Hodenfield ◽  
Tianmin Jiang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Processing ◽  
Next Generation

Food waste and dynamic complex systems: The case of Peru and a solution model proposal Part 1: Peruvian Anchoveta (Engraulis ringens)

2020 ◽  
Author(s):  
Carlos A Almenara
Keyword(s):  
United Nations ◽  
Complex Systems ◽  
Revenue Management ◽  
Food Waste ◽  
Intelligent Systems ◽  
Solution Model ◽  
Food And Agriculture ◽  
Food And Agriculture Organization ◽  
Engraulis Ringens ◽  
The United Nations

[THE MANUSCRIPT IS A DRAFT] According to the Food and Agriculture Organization of the United Nations (FAO, 2020), food waste and losses comprises nearly 1.3 billion tonnes every year, which equates to around US$ 990 billion worldwide. Ironically, over 820 million people do not have enough food to eat (FAO, 2020). This gap production-consumption puts in evidence the need to reformulate certain practices such as the controversial monocropping (i.e., growing a single crop on the same land on a yearly basis), as well as to improve others such as revenue management through intelligent systems. In this first part of a series of articles, the focus is on the Peruvian anchoveta fish (Engraulis ringens).

scholarly journals Impact of Hotel Guests’ Trends to Recycle Food Waste to Obtain Bioenergy

2021 ◽  
Vol 13 (6) ◽  
pp. 3094
Author(s):  
Wagih Salama ◽  
Essam Abdelsalam
Keyword(s):  
Food Waste ◽  
Alternative Energy ◽  
Waste Recycling ◽  
Environmental Preservation ◽  
Alternative Energy Sources ◽  
Effective Role ◽  
Food Waste Recycling ◽  
Intentions To Participate ◽  
Hotel Managers ◽  
The Impact

Hotels face many issues related to food waste management, which is considered a serious environmental and socioeconomic issue in the 21st century. The improper disposal of food waste causes greenhouse gases emissions, consequently badly affecting the environment. This research aims to measure the impact of customer trends in changing the pattern of food waste disposal and recycling into bioenergy relating to hotel purposes and contributing to reducing hotel energy costs in Egypt. Two survey questionnaires were designed for hotel managers and guests, with 25 and 300 forms, respectively. The results indicated that hotel managers are highly willing to recycle food waste to produce bioenergy and hence play an effective role in environmental preservation. Such alternative energy sources are less expensive than conventional ones. This study revealed guests’ intentions to participate in the process of preserving the surrounding environment, as well as their preferences to stay in hotels that are practicing food waste recycling operations. Limitations can be seen in the lack of advertising for such hotels as well the high cost of staying in green and ecological hotels.

Addressing food loss and waste prevention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Burcu Kör ◽  
Adriana Krawczyk ◽  
Ingrid Wakkee
Keyword(s):  
The Netherlands ◽  
Food Waste ◽  
Household Consumption ◽  
Resource Scarcity ◽  
Advanced Technology ◽  
Waste Prevention ◽  
Structured Interviews ◽  
Content Type ◽  
Food Loss

PurposeFood waste is one of the most challenging issues humanity is currently facing. Therefore, there has been a growing interest in the prevention of food waste because of world hunger, environmental impacts, resource scarcity and economic costs. The purpose of the study is to investigate the factors that influence food waste and the role of technology in tackling food waste in India and the Netherlands.Design/methodology/approachIn order to explore differences in food loss and waste further this study will examine a number of practices on both the production and the consumer side, in a developing country and a developed country with different culture/economic backgrounds: India and the Netherlands. The factors that influence food waste were examined with a preliminary qualitative study, which consists of semi-structured interviews, and quantitative research that comprises a survey. Semi-structured interviews were conducted in both India and the Netherlands, which consists of five interviews. The survey data was collected from 78 individuals from India and 115 individuals from the Netherlands.FindingsOne of the main findings of the research is food waste is divided into waste within agricultural production (i.e. food loss) and final household consumption (i.e. food waste). Different factors influence food loss in different stages in the supply chain. Some of these factors include wastage during processing, storage, transportation and at the market-place. New technologies can utilize food loss for new purposes, so food loss is reduced to the minimum. Food waste is mainly influenced by food passing expiry date, food that is left too long in the fridge and consumers buying too much food. In final household consumption, technologies such as digital platforms enable individuals or organizations to share and donate their food, thereby creating awareness on food waste prevention and the environmental and ethical benefits.Originality/valueThe authors examine to what extent and in which ways supporting consumers to minimize food waste can be achieved via three stages: (1) understanding and evaluating food loss and waste, (2) identifying the factors that influence food loss and waste, (3) understanding consumer behaviors to encourage food waste reduction and (4) identifying the technological impact that would reduce food waste. As such, this paper contributes to ongoing debates about food waste by looking at the role of context and culture and by exploring differences between developed and developing countries. Also, the authors advance the debate by exploring both the role of advanced technology such as blockchain and drones in both preventing loss and waste as well as non-technological mechanisms.

METEOROLOGICAL GNSS APPLICATION FOR HEAVY RAIN ON DECEMBER 31, 2019 IN THE JAKARTA AND SURROUNDING AREAS

2021 ◽  
pp. 273
Author(s):  
Syachrul Arief ◽  
Ihsan Muhamad Muafiry
Keyword(s):  
Water Vapor ◽  
Data Processing ◽  
Average Distance ◽  
Heavy Rain ◽  
Research Area ◽  
High Rainfall ◽  
Interesting Pattern ◽  
Surrounding Areas ◽  
Gnss Data ◽  
Second Peak

This study aims to utilize GNSS for meteorology in Indonesia. With the "goGPS" software, the zenith troposphere delay (ZTD) value is estimated. Calculations in rainy conditions, the ZTD value is converted into a water vapor value (PWV). The research area for the phenomenon of heavy rain occurred at the end of 2019 in Jakarta and its surroundings, which caused flooding on January 1, 2020. According to the Geophysical Meteorology and Climatology Agency (BMKG), the flood's primary cause was high rainfall. Meanwhile, the rainfall at Taman Mini and Jatiasih stations was 335 mm/day and 260 mm/day, respectively. We get an interesting pattern of PWV values for this rain phenomenon. GNSS data processing, the PWV value at five GNSS stations around Jakarta, shows the same pattern even though the average distance between GNSS stations is ~ 30 km. The PWV value appears to increase at noon on December 30, 2019, and the peak occurs in the early hours of December 31, 2019. The PWV value suddenly decreases at noon on January 1, 2020. Next, the PWV value increases again but not as high as at the previous peak. Since January 2, 2020, the PWV value has decreased and remained almost constant until January 4, 2020. In that period, there were two events that the PWV value increased. The PWV value at the first peak is ~ 70 mm, and at the second peak ~ 65 mm. The most significant increase in PWV value was recorded at CJKT stations.

Big Data Processing and Mining for Next Generation Intelligent Transportation Systems

2013 ◽  
Vol 63 (3) ◽  
Author(s):  
Jelena Fiosina ◽  
Maxims Fiosins, Jörg P. Müller
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Real World ◽  
Intelligent Transportation Systems ◽  
Social Impact ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Optimization Techniques ◽  
Next Generation ◽  
Big Data Processing

The deployment of future Internet and communication technologies (ICT) provide intelligent transportation systems (ITS) with huge volumes of real-time data (Big Data) that need to be managed, communicated, interpreted, aggregated and analysed. These technologies considerably enhance the effectiveness and user friendliness of ITS, providing considerable economic and social impact. Real-world application scenarios are needed to derive requirements for software architecture and novel features of ITS in the context of the Internet of Things (IoT) and cloud technologies. In this study, we contend that future service- and cloud-based ITS can largely benefit from sophisticated data processing capabilities. Therefore, new Big Data processing and mining (BDPM) as well as optimization techniques need to be developed and applied to support decision-making capabilities. This study presents real-world scenarios of ITS applications, and demonstrates the need for next-generation Big Data analysis and optimization strategies. Decentralised cooperative BDPM methods are reviewed and their effectiveness is evaluated using real-world data models of the city of Hannover, Germany. We point out and discuss future work directions and opportunities in the area of the development of BDPM methods in ITS.

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