bluuebunny/crossref_metadata_2025_split huggingface dataset:
Edible coating development to extend shelf life of mangoes (Mangivera indica L.)
Authors: Handojo L A , Shofinita D , Evelina G , Nasution A N 
Published: February 2022

Abstract
Mango is one of the most favored tropical fruits which potentially as an export commodity in Indonesia. However, this fruit is easily damaged and has a short shelf life. One way to extend the shelf life of fruits is to use edible coatings. This study aimed to determine the effect of storage temperature and edible coatings on the shelf life of mangoes. Using 6.4% beeswax and a composite of 10% Arabic gum and 1% chitosan as edible coatings, these results were compared to control. Several parameters were used to evaluate the effectiveness of edible coatings, specifically weight loss, pH, fruit skin color, fruit flesh color, hardness, decay incidence (DI), and soluble solids concentration (SSC). Mangoes were stored in a variety of storage conditions, namely room temperature (26.5°C), showcase (10.2°C), and wine cooler (12.4°C). Experimental results indicated that applicating edible coatings and storing fruits at lower temperatures generally could reduce weight loss above 20% and DI by 85%, slowing changes in SSC, pH, and color of the fruits’ skin and flesh, as well as maintaining hardness. Moreover, 6.4% beeswax was more effective than the composite of 10% Arabic gum and 1% chitosan in extending the shelf life of mangoes.
Organoleptic and chemical properties test on cookies made from Mocaf and oyster mushroom flour
Authors: Kurnianto M F , Wijaya R , Handayani A M , Hariono B , Brilliantina A 
Published: February 2022

Abstract
The purpose of our study was to characterize the quality of oyster mushroom flour dried using the hybrid fluidized bad dryer with a UV lamp. Making cookies was implemented by oyster mushroom flour and modified starch flour called mocaf. Methods in our study using Completely Randomized Design with comparision modified starch flour (mocaf) and oyster mushroom flour (100% of mocaf flour; 95% of mocaf flour and 5% of oyster mushroom flour; 90% of mocaf flour and 10% of oyster mushroom flour; 85% of mocaf flour and 15% of oyster mushroom flour; 80% of mocaf flour and 20% of oyster mushroom flour; 75% of mocaf flour and 25% of oyster mushroom flour. Water content, fat content and fiber content were analyzed as chemical properties of cookies. Organoleptic test was designed by 25 panelists using hedonic test to characterize sensory properties. The results showed that chemical properties consist of water content about 3.3 - 7.1%, fat content about 20.65 – 28.9%, fiber content about 3.03 – 6.55%. Observations on aspects of physical properties carried out by organoleptic tests on the parameters of taste, color and aroma through the Kruskal Wallis test showed no effect. In the texture parameter of cookies products, the variation in the amount of mocaf flour and oyster mushroom flour treatment has an effect.
Risk analysis of Musculoskeletal Disorder (MSDs) on corn noodles production
Authors: Indriati A , Mayasti N K I , Rahman T , Litaay C , Anggara C E W , Astro H M , Surahman D N , Novianti F , Andriana Y 
Published: February 2022

Abstract
Corn noodles are one of the non-wheat food diversification products to reduce dependence on wheat flour. In making corn noodles, it is suspected that there is a risk of Musculoskeletal Disorders (MSDs). This study aimed to identify the level of risk of MSDs in workers while making corn noodles. Data were collected using questionnaires, interviews, and observations to determine the risk level of MSDs using the Rapid Entire Body Assessment (REBA) method. The results showed that when workers did the corn noodle-making process, several work activities showed the risk of MSDs. Activities that pose a high risk of MSDs are when using an extruder; medium risk during mixing and steaming, while weighing ingredients and drying noodles had a low risk of MSDs. Work postures that cause complaints include bending over, looking down, and when lifting. The MSDs complaints were in the neck, shoulders, back, waist, arms, and fingers.
Rapid and non-labelling detection method in food safety and adulteration
Authors: Andriana B B , Paramitha P N , Zakaria R , Parikesit P , Hashimoto K , Sato H 
Published: February 2022

Abstract
One of the goals from The United Nations’ 17 Sustainable Development Goals (SDGs) is good health and well-being has, directly and indirectly, absolutely has relation with the safety and fraud of food. In the field of food sciences, the availability of analyzing tools for both safety and fraud of food is a must for producing the sustainable of good health and well-being of consumers, as well as a need early detection of contaminants in the food supply that be able to be serious to certify the safe food. Raman spectroscopy is one of the unconventional techniques that can detect and indicate those problems classes rapidly, sensitively, noninvasively, and relatively inexpensive method. The quantitative analysis and modeling of biomaterials based on empirical data are useful for connecting molecular biology to new areas, particularly in Industry 4.0 era, such as computational of food science. Raman spectroscopy is considered one of the possible methods by which we can observe the biological sample in rapid and non- labeling methods. This could improve to check up the quality and safety of food in the field of food science rapidly and safety. Furthermore, it will largely contribute to society in the future. The present article introduces some preliminary techniques based on Raman spectroscopy and evaluates their applications in intact food ingredients, such as lipid and Stingless Bees Honey.
Interaction of parasitoids associated with fruit flies attacking star fruit (Averrhoa carambolae) in Denpasar City, Bali Province, Indonesia
Authors: Yuliadhi K A , Susila I W , Supartha I W , Sultan A , Yudha I K W , Utama I W E K , Wiradana P A 
Published: February 2022

Abstract
Star fruit (Averrhoa carambola) is a fruit plant that has a high consumption rate, especially in the Central/South America and Asia-Pacific regions including Indonesia. The fruit fly, Bactrocera spp. become a major pest on star fruit commodities in Indonesia which can harm quantity and quality which in turn hampers export activities. The aims of this study was to identify the type of pest, the level of attack, and the type of parasitoid associated with star fruit flies in the Denpasar City area. Fruit samples were collected using a purposive sampling method, namely collecting symptomatic fruit planted in four sub-districts in Denpasar City. Identification was carried out on the types of fruit flies and parasitoids that emerged after the rearing period. The percentage of fruit damage and the degree of parasitization was also determined. The fruit flies identified were Bactrocera carambolae and B. dorsalis and two parasitoids, namely Fopius arisanus and Diachasmimorpha longicaudata. The percentage (%) of fruit damage was 83.10%. The interaction that occurs between the fruit fly population and the level of damage is also very close. In all observation sites in Denpasar City, the parasitization rate of F. arisanus was higher than that of D. longicaudata. Our findings indicate that fruit flies are one of the main causes of star fruit damage in Denpasar City and should be integrated into a more comprehensive Integrated Pest Management (IPM) program by the relevant authorities.
Effect of Soilless Media with Alternate Wetting-Drying (AWD) as Basic Irrigation on the Growth of Two Varieties of Rice
Authors: Damanhuri  , Widodo T W , Muhklisin I 
Published: February 2022

Abstract
The decreasing area of agricultural land and declining water sources are forcing rice farmers to adopt various farming technology. Soil-less farming and alternate wetting-drying (AWD) irrigation can alternatively fix the problems (water substitutes soil as a proper growing media, while in AWD irrigation systems water can be saved), especially in the urban area. This study aimed to observe the growth of two rice varieties grown under soil-less media with AWD irrigation systems. The study was conducted in Sumberjeruk village, Jember city of Indonesia, from June-September 2021. A completely randomized design (CRD) within two factors and three replications was used in the experiment. The first factor was growing media, namely control (soil) + non AWD, water media + rice husk + non AWD, water media + non AWD, and water media + 1 day (once) AWD. The second factor was rice variety specifically Mapan 05 and Ciherang. The result showed that water media + rice husk gave the highest performance at plant height (73,88 cm), the number of the stem (35,25 stems), and the number of leaves (108,92 leaves). Moreover, there was a significant difference in stem diameter number between Mapan 05 and Ciherang (6,95 mm and 5,80 mm respectively).
Critical factors in local food development policies, farming, and coping mechanisms mothers with stunting children in Jember
Authors: Muksin  , Perwiraningrum D A , Amareta D I , Purwoko D 
Published: February 2022

Abstract
Jember Regency has the potential of local food diversity that has not been optimally utilized in stunting recovery. Local institutions have also not fully contributed optimal roles in rural mothers with stunting children. The research aims to determine key policy factors for local food development, farming, and coping mechanisms in mothers with stunting children. Adequate policies, especially in utilizing cheap and easily obtain nutritious local food sources, are expected to facilitate effective stunting recovery efforts. This research method uses quantitative and qualitative approaches. Description of local food sources and their processing, demographics, and maternal behavior, is carried out through focus group discussion activities involving key stakeholders. Furthermore, modeling is carried out based on key factors or elements with interpretative structural modeling methods. The study’s findings suggest that increasing maternal knowledge of local food and nutritional content and health aspects is a crucial policy factor. Systematically these key factors need to be supported by strengthening maternal health in decision-making in the household, handling maternal health detection, maternal skills to process food, and maternal skills to choose food according to family needs. Policy implementation requires formal and informal institutional support that exists in the countryside.
Modeling the Potential of Cereal Crops with a Smart Village-Based GIS Approach to Support Food Security
Authors: Utomo Denny Trias , Etikasari Bety , Jumiatun  
Published: February 2022

Abstract
Since 2015, government projects related to national food security have been implemented so far. This article will write a study that uses the GIS method to model the potential of food crops. The GIS web application development method uses the prototyping method with input in the form of spatial and non-spatial data which includes data on potential rice, corn, and soybeans in the Jember district, where the data was obtained from a survey at the Jember Regency Agriculture Service in the period January - August 2021 and data statistics from the book Jember in Figures 2020 and the official website of the Jember Regency BPS.
Automatic Security System Architecture for Smart Greenhouse Using Face Recognition Approach
Authors: Anwar S , Riskiawan H Y , Hariono B , Setyohadi D P S , Yogiswara  , Kurniasari A A , Hakim M R 
Published: February 2022

Abstract
Automation has taken over nearly all domains of operation due to the rapid progress of technology. Over the years, the evolution of human-computer interaction has sped up. With regards to technology improvements, Smart Greenhouse has come a long way. As such, it is critical to have a dependable security system in place to safeguard Greenhouse assets and employee privacy. To access Greenhouse using the conventional security system, an individual must utilize a key. However, the current security mechanism contains numerous flaws regardless of how it is cast or taken. By using face recognition, this study seeks to assist users in enhancing the door security of the Smart Greenhouse. The suggested system comprises several subsystems, including picture capture, face recognition, and automatic door access management. Face Recognition is supported by OpenCV because it uses Eigenfaces and scales down face photos without sacrificing essential features. The Doorlock Selenoid will function as the key. One relay will serve as both an active and passive solenoid. Thus, the images captured from the webcam will be compared to the stored features, and if a match is found, access will be provided to the authorized person. Otherwise, the door is not accessible.
Oyster mushroom house conditions classification using K-Nearest Neighbor
Authors: Wiryawan I G , Mulyadi E , Choirunnisa S , Destarianto P , Agustianto K 
Published: February 2022

Abstract
Internet of Things devices that were implemented to support condition monitoring and control systems in mushroom houses get a lot of temperature and humidity data from mushroom houses. The large number of temperature and humidity data can be used as the variables or indicators that affect mushroom production. Temperature and humidity data can be classified based on the production of mushrooms produced in one house or mushroom houses. This study aims to determine the classification of temperature and humidity data in mushroom houses based on mushroom production. The method used is a data mining approach based on the K-Nearest Neighbor. This research begins with determining the variables from training data or training data, taking testing data, then the testing data is reprocessed based on the K-Nearest Neighbor method with training data. Finally, evaluation of the method used was carried out by calculating the accuracy value. As a result, the accuracy of the K- Nearest Neighbor method was about 89%. These results are expected to be used to forecast the yield of mushroom production for future research. The forecast can be seen from the pattern of temperature and humidity data that is formed based on a certain period of time.
RETRACTED: Surface Modeling Vehicle for Shrimp Ponds using Artificial Neural Network
Authors: Destarianto P , Agustianto K , Rosdiana E , Wiryawan I G , Mulyadi E 
Published: February 2022

Abstract
The worldwide frozen shrimp trade market in 2018 was recorded at the US $ 17.2 billion or around Rp.232.2 trillion. Indonesia is one of the principal exporters of frozen shrimp in the worldwide market. In light of this information, shrimp cultivating is a promising area, yet shrimp cultivating is particularly controlled by water quality. Water quality in shrimp cultivating consistently changes. Many variables impact changes in water quality (shrimp biomass, PH, and temperature). These components in the water should be inside the standard limit rank. Thusly, to accomplish the creation effectiveness of the shrimp business, it is important to robotize water quality control. This study aims to develop Surface Modeling Vehicles (SMV) for Shrimp Ponds utilizing an Artificial Neural Network. The test outcomes show an exactness pace of 94%, the expectation is that the instruments created by the exploration will want to acknowledge exact Vename Shrimp cultivating, so creation proficiency and expanded shrimp creation can be accomplished.
RETRACTED: Adaptive Temperature And Humidity Control System on Kumbung Mushroom using Fuzzy Neural Network Algorithm
Authors: Hartadi D R , Agustianto K , Destarianto P , Wardana R , Kustiari T , Wiryawan I G , Mulyadi E 
Published: February 2022

Abstract
National mushroom production in 2018, 2017, 2016, and 2015 were: 31052, 3702, 40915 and 33485 tons. Mushroom cultivation, especially oyster mushrooms, has the potential to be developed more widely in Indonesia because it has economic value and is environmentally friendly. However, the cultivation of oyster mushrooms has challenges. The challenge that arises in the cultivation of oyster mushrooms is to grow well at a temperature of 16 – 30 °C and a relative humidity of 80 – 95%. Environmental conditioning carried out by farmers on average through spraying water in mushroom kumbung manually. The use of manual methods requires high human resources, besides that it is not effective and efficient. This study aims to develop an Adaptive Temperature and Humidity Control System on Kumbung using Backpropagation Neural Network, where to determine the temperature and humidity the system will evaluate the readings of several sensors at once. The system developed is an adaptive system with an accuracy of 97%, so it is can be used to increase the precision of mushroom cultivation, so that production efficiency and increase in mushroom production can be achieved.
Preface
Authors: Tang Wenzhe 
Published: February 2022

Abstract
EEEP (International Conference on Energy Engineering and Environmental Protection) is an annually held conference for all researchers home and abroad since 2016, aiming to provide a good platform for scholars and researchers in the field of energy and environmental protection to discuss the latest developments and achievements, work out good solutions, and make contributions.
The Sixth International Conference on Energy Engineering and Environmental Protection (EEEP2021) was planned to be held in Sanya, China on November 16-18, 2021. Due to the epidemic of COVID-19, the event had to be changed from onsite to online during November 16-17, 2021 for academic exchanges & discussions.
List of Technical Program Committee, Special Session on Intelligent Integrated Energy Systems are availbale in this pdf.
Demand response strategy for TCLs considering consumer utility
Authors: Shen Li , Wang Feng , Shi Heqing , Gao Qiong , Wu Qiong , Yao Yu 
Published: February 2022

Abstract
With the higher share of renewable energy, the flexibility of the power system needs to be improved. In recent years, the loads on the demand side can provide flexibility with the development of demand response technology. Thermostatically controlled loads (TCLs), as a kind of large-scale flexible load, have been a significant demand response resource. In this paper, a demand response strategy for TCLs considering consumer utility function is proposed. Firstly, a utility function is modeled to estimate the utility of TCLs. Then a model for estimating the potential of TCLs is built. On this foundation, the power system operators (PSOs) sort TCLs by consumer utility. TCLs with lower consumer utility will be called first. The study case adopts realistic data of an eastern city in China, which verifies the effectiveness of the proposed strategy.
An economic assessment method for flexibility enhancement technologies of thermal power plants
Authors: Wang Jianbo , He Xiangdong , Jia Haibing , Le Ying , Sun Xiaocong , Guo Chao , Xu Kangxuan 
Published: February 2022

Abstract
High-level renewable energy integration imposes significant uncertainties into power systems. The negative peak load regulation (NPLR) and frequency regulation (FR) are needed for the security of the system’s operation. Thermal power plants are urgent to carry out flexibility enhancement to provide NPLR and FR. However, there are diverse flexibility enhancement technologies to be chosen. This paper proposed an economic assessment method of flexibility enhancement technologies to conduct thermal power plants to choose the best scheme. Firstly, the framework for the economic evaluation is proposed. The various flexibility enhancement technologies are classified based on the revenue model. Then, the revenue function of NPLR and FR are formulated under the ancillary service market. Finally, the economic indexes, such as, the internal rate of return (IRR), net present value (NPV), and payback period are calculated. The proposed methods are validated using a 200 MW power unit with a condensing steam turbine. The results demonstrated the effectiveness of the proposed framework.
Regulation capacity evaluation for air conditioners considering operating status and occupant comfort
Authors: Yang Xuan , Xu Xianghai , Yin Jianbing , Liu Jian , Wei Wei , Zhang Zhipeng , Chen Zhiyuan , Lu Haibo , Qi Taoyi , Xie Kang 
Published: February 2022

Abstract
In recent years, the load peak-valley difference is increasing rapidly and needs more regulation capacity to reduce it. However, traditional generating units are phasing out for low carbon goal and cannot provide enough regulation capacity for the power system. Besides, Air conditioners (ACs) account for about 40% of the electricity consumption of the power system during peak period in summer. Due to the thermal inertia of rooms, indoor temperature will not be greatly affected, when ACs are controlled temporarily to provide regulation capacity. To fully realize the regulation potential, it is of significantly importance to accurately evaluate the regulation capacity of ACs, where the real-time operating status and occupant comfort are two key factors. Therefore, this paper proposes a regulation capacity evaluation method for ACs considering operating status and occupant comfort. The equivalent thermal parameter (ETP) model based on the AC operating characteristics is developed firstly. On this basis, the regulation capacity for the individual AC is evaluated considering operating status and user comfort, and the regulation capacity of aggregated ACs can be obtained by summing. Finally, the effectiveness of the proposed method is proved by cases.
Performance and economy analysis of distributed small-scale pumped storage power station
Authors: Liao Wanting , Zhang Yanchi , Ding Tian , Fang Jun , Ju Pengfei , Xie Da , Zhao Wenbo 
Published: February 2022

Abstract
The installed capacity of clean energy represented by solar and wind power has increased by 77.5 times in the past 20 years. In 2019, it reached 1437GW, accounting for 35% of the total installed power generation capacity [1]. With large quantities of fluctuating renewable and new energy integrated, the power system has insufficient absorption capacity and needs more adjustable power sources. In this paper, the location limitation of centralized large-scale pumped storage power station (PSPS) is broken through and a distributed small-scale PSPS which can be widely constructed in load centers such as the east coast of China is proposed. Furthermore, the distributed small-scale PSPS is compared with large-scale PSPS and other kinds of energy storage technology in terms of installed capacity, discharge time, energy density, power density, life cycle, and per kilowatt hour (kWh) cost. The calculated results show that the energy density of distributed small-scale PSPS is about 10 times higher than that of large-scale PSPS, while the per kWh cost of the two kinds of PSPS is close. In addition, the expected life cycle of distributed small-scale PSPS is higher than that of most energy storage technologies. For example, its life cycle is 4 times longer than that of battery-type storage. In conclusion, the performance and economy of distributed small-scale PSPS are both in the good level, so it has the potential to solve the problem of new energy consumption in China.