scholarly journals DESAIN POLA ISTIRAHAT PEKERJA SESING DENGAN PENDEKATAN FISIOLOGIS UNTUK MENINGKATKAN PRODUKTIVITAS

2021 ◽  
Vol 16 (1) ◽  
pp. 10-20
Author(s):  
Zainal Fanani Rosyada ◽  
Heru Prastawa ◽  
Monita Febriani Hidayah ◽  
Enny Purwati Nurlaili

Penelitian ini dilakukan di PT X yang memproduksi olahan kayu. Kelelahan dan kejenuhan pekerja terjadi pada bagian sesing. Karyawan bekerja selama 8 jam per shift. Tingkat kelelahan pekerja diperkirakan menjadi salah satu penyebab kelelahan dan kejenuhan. Penelitian ini bertujuan mengetahui tingkat beban kerja fisik dan konsumsi energi yang membutuhkan adanya waktu istirahat pendek tambahan. Waktu istirahat pendek ini untuk meringankan beban kerja dan menggantikan energi yang keluar selama bekerja, sehingga pekerja bisa bekerja secara optimal. Beban kerja fisik berdasarkan cardiovasculairload (%CVL) yang diukur melalui denyut nadi menggunakan smart band. Konsumsi energi dikonversikan kepada kebutuhan waktu istirahat menggunakan persamaan Murrel. Pengukuran dilakukan pada dua perlakuan, bekerja sebelum rekomendasi (kondisi awal) dan bekerja sesuai rekomendasi (kondisi intervensi). Rekomendasi pola istirahat kerja berupa penerapan istirahat pendek dan pemberian asupan energi yang diberikan pada pukul 09.30 selama 15 menit dan pada pukul 14.00 selama 10 menit. Hasil penelitian menunjukkan rata-rata denyut nadi kerja pada saat kondisi awal 107,35 denyut/ menit; saat kondisi intervensi 104,13 denyut/ menit. Terjadi penurunan sebesar 3%. Rata-rata %CVL pada kondisi awal 29,97%, sedangkan kondisi intervensi 26,99%. Terjadi penurunan sebesar 9.94%. Rata-rata konsumsi energi pada kondisi awal 3.19 kkal/ menit, sedangkan kondisi intervensi 2.87 kkal/ menit. Terjadi penurunan sebesar 10.03%. Dapat disimpulkan bahwa penerapan rekomendasi dapat meningkatkan produktifitas kerja dan menurunkan beban kerja. Abstract[Design of Rest Break of Sesing Workers Using Physiological Approaches to Improve Productivity]This research was conducted at PT X which produced processed wood. Fatigue and workers' saturation occur in the sesang section. Employees work for 8 hours per shift. Workers' fatigue rates are estimated to be one of the causes of fatigue and saturation. This study aims to determine the level of physical workload and energy consumption that need additional short rest periods. The physical workload level and energy consumption are studied to determine the length of additional short breaks. This short break time is to ease the workload and replace the energy that comes out during work, so workers can work optimally. Physical workload based on cardiovasculaIirlload (% CVL) which is measured by pulse using a smart band. Energy consumption is converted to the need for rest time using the Murrel equation. Measurements are carried out on two treatments, work before recommendations (initial conditions) and work according to the recommendation (intervention conditions). Recommended work break patterns in the form of the application of short breaks and the provision of energy intake given at 09.30 for 15 minutes and at 2:00 p.m. for 10 minutes. The results showed the average pulse of work when kondisi awal 107.35 beats/ minute; When kondisi intervensi 104.13 beat/ minute. Decreased by 3%. The average% CVL on initial conditions is 29.97%,  while intervention conditions 26.99%. Decreased by 9.94%. The average energy consumption on kondisi awal 3.19 kcal/ minute, while kondisi intervensi 2.87 kcal/ minute. A decrease of 10.03%. It can be concluded that the application of recommendations can increase work productivity and reduce workload.Keywords: Physical Workload; Heart Rate; Short Rest Time; Energy Intake

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 442
Author(s):  
Xiaoyue Zhu ◽  
Bo Gao ◽  
Xudong Yang ◽  
Zhong Yu ◽  
Ji Ni

In China, a surging urbanization highlights the significance of building energy conservation. However, most building energy-saving schemes are designed solely in compliance with prescriptive codes and lack consideration of the local situations, resulting in an unsatisfactory effect and a waste of funds. Moreover, the actual effect of the design has yet to be thoroughly verified through field tests. In this study, a method of modifying conventional building energy-saving design based on research into the local climate and residents’ living habits was proposed, and residential buildings in Panzhihua, China were selected for trial. Further, the modification scheme was implemented in an actual project with its effect verified by field tests. Research grasps the precise climate features of Panzhihua, which was previously not provided, and concludes that Panzhihua is a hot summer and warm winter zone. Accordingly, the original internal insulation was canceled, and the shading performance of the windows was strengthened instead. Test results suggest that the consequent change of SET* does not exceed 0.5 °C, whereas variations in the energy consumption depend on the room orientation. For rooms receiving less solar radiation, the average energy consumption increased by approximately 20%, whereas for rooms with a severe western exposure, the average energy consumption decreased by approximately 11%. On the other hand, the cost savings of removing the insulation layer are estimated at 177 million RMB (1 USD ≈ 6.5 RMB) per year. In conclusion, the research-based modification method proposed in this study can be an effective tool for improving building energy efficiency adapted to local conditions.


Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7823
Author(s):  
Hyunchong Cho ◽  
Seungmin Oh ◽  
Yongje Shin ◽  
Euisin Lee

In WSNs, multipath is well-known as a method to improve the reliability of packet delivery by making multiple routes from a source node to a destination node. To improve reliability and load-balancing, it is important to ensure that disjoint characteristics of multipath do not use same nodes during path generation. However, when multipath studies encounter a hole area from which is hard to transmit data packets, they have a problem with breaking the disjoint features of multipath. Although existing studies propose various strategies to bypass hole areas, they have side effects that significantly accelerate energy consumption and packet transmission delay. Therefore, to retain the disjoint feature of multipath, we propose a new scheme that can reduce delay and energy consumption for a node near a hole area using two approaches—global joint avoidance and local avoidance. This scheme uses global joint avoidance to generate a new path centered on a hole area and effectively bypasses the hole area. This scheme also uses local joint avoidance that does not select the same nodes during new path generation using a marking process. In simulations, the proposed scheme has an average 30% improvement in terms of average energy consumption and delay time compared to other studies.


2021 ◽  
Vol 905 (1) ◽  
pp. 012077
Author(s):  
A D P M Larasati ◽  
Darsono ◽  
S Marwanti

Abstract Ngawi is the sixth paddy producer in Indonesia and certainly has an influence on the food security of paddy farm households. This study aimed to analyze the proportion of food expenditure (PFE), energy and protein consumption, the relationship between food expenditure and energy consumption, and the condition of food security. The basic method used descriptive analytic. The number of respondents based on the slovin formula was 87 households. The sample selection used stratified random sampling. The data analysis method used correlation with SPSS 22 and cross indicator between PFE and energy consumption level. The results showed that the average of PFE was 58.81%. The average energy consumption was 4,272.2 kcal/household/day with an energy consumption level of 81.93% while the average protein consumption was 122.1 grams/household/day lower than the average household RDA consumption. Food expenditure had a significant relationship to energy consumption with a correlation coefficient of 0.925 including a very strong and unidirectional relationship. The contribution of household food security conditions were 28.7% secure; 32.2% vulnerable; 10.3% less secure; 28.8% insecure.


Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 467 ◽  
Author(s):  
Canek Portillo ◽  
Jorge Martinez-Bauset ◽  
Vicent Pla ◽  
Vicente Casares-Giner

Wireless Sensor Networks (WSN) have experienced an important revitalization, particularly with the arrival of Internet of Things applications. In a general sense, a WSN can be composed of different classes of nodes, having different characteristics or requirements (heterogeneity). Duty-cycling is a popular technique used in WSN, that allows nodes to sleep and wake up periodically in order to save energy. We believe that the modeling and performance evaluation of heterogeneous WSN with priorities operating in duty-cycling, being of capital importance for their correct design and successful deployment, have not been sufficiently explored. The present work presents a performance evaluation study of a WSN with these features. For a scenario with two classes of nodes composing the network, each with a different channel access priority, an approximate analytical model is developed with a pair of two-dimensional discrete-time Markov chains. Note that the same modeling approach can be used to analyze networks with a larger number of classes. Performance parameters such as average packet delay, throughput and average energy consumption are obtained. Analytical results are validated by simulation, showing accurate results. Furthermore, a new procedure to determine the energy consumption of nodes is proposed that significantly improves the accuracy of previous proposals. We provide quantitative evidence showing that the energy consumption accuracy improvement can be up to two orders of magnitude.


2019 ◽  
Vol 11 (2) ◽  
pp. 154-164 ◽  
Author(s):  
Siamak Hoseinzadeh

Objective: This study investigated the optimization of thermal energy consumption using electrochromic components with a new nanocomposite layer (WO3+Ag) in a larger size (window) for a room with an educational application for five cities with different climatic conditions in Iran (Yazd, Tehran, Bandar Abbas, Tabriz, and Sari). Materials & Methods: For this simulation platform, the software was implemented in Energy Plus. This feasibility study was modeled by DesignBuilder software which reported reduced thermal energy consumption across all climates in Iran (hot and dry, warm and semi-humid, warm and wet, moderate and dry, and mild and humid.). Four strategies were considered for better comparison. The first strategy used for common double-glazed windows, while the second to fourth strategies involved the use of the electrochromic window in three different modes; bleached mode (Off), colored mode (On), and switchable mode (controlled below comfort conditions). Results: The third and fourth strategies indicated a reduction in thermal energy consumption in different climates from 25 to 45% relative to typical windows. The best result of cooling energy consumption was observed in Tehran. Conclusion: For this climate, the average energy consumption dropped to 34% for the warm months of the year and even 42% for the warmest month of the year (August).


2021 ◽  
Author(s):  
Negin Babaei ◽  
Alireza Hedayati

Abstract Internet of things is one of the most important technologies in the last century which covers various domains such as wireless sensor networks. Wireless sensor networks consist of a large number of sensor nodes that are scattered in an environment and collect information from the surrounding environment and send it to a central station. One of the most important problems in these networks is saving energy consumption of nodes and consequently increasing lifetime of networks. Work has been done in various fields to achieve this goal, one of which is clustering and the use of sleep timing mechanisms in wireless sensor networks. Therefore, in this article, we have examined the existing protocols in this field, especially LEACH-based clustering protocols. The proposed method tries to optimize the energy consumption of nodes by using genetic-based clustering as well as a sleep scheduling mechanism based on the colonial competition algorithm. The results of this simulation show that our proposed method has improved network life (by 18%) and average energy consumption (by 11%) and reduced latency in these networks (by 17%).


2021 ◽  
Vol 2061 (1) ◽  
pp. 012010
Author(s):  
R N Latyshev ◽  
E Y Abramov ◽  
L I Tolstobrova

Abstract In this article, it is proposed to use energy storage devices as a part of charging stations to reduce the powerful load for the power system during the hours of the greatest energy consumption. This is due to the analysis results for the growth trends of the electric vehicles. By the example of the city Novosibirsk, according to the forecasts of analytical companies about the trend of increasing the number of electric cars (ECs) in Russia, the average energy consumption per day for charging ECs has been calculated. Based on the calculation results, the influence of charging stations on the daily schedule of the active load for the industrial power grid is shown and the capacity lack problem is identified. The experimental measurements results at traction substation No. 29 in Novosibirsk are presented.


2019 ◽  
Vol 23 (2) ◽  
pp. 231-242
Author(s):  
Jessica M Perkins ◽  
Suman Chakrabarti ◽  
William Joe ◽  
Hwa-Young Lee ◽  
Jongho Heo ◽  
...  

AbstractObjective:To assess whether disparities in energy consumption and insufficient energy intake in India have changed over time across socio-economic status (SES).Design:This cross-sectional, population-based survey study examines the relationship between several SES indicators (i.e. wealth, education, caste, occupation) and energy consumption in India at two time points almost 20 years apart. Household food intake in the last 30 d was assessed in 1993–94 and in 2011–12. Average dietary energy intake per person in the household (e.g. kilocalories) and whether the household consumed less than 80 % of the recommended energy intake (i.e. insufficient energy intake) were calculated. Linear and relative risk regression models were used to estimate the relationship between SES and average energy consumed per day per person and the relative risk of consuming an insufficient amount of energy.Setting:Rural and urban areas across India.Participants:A nationally representative sample of households.Results:Among rural households, there was a positive association between SES and energy intake across all four SES indicators during both survey years. Similar results were seen for energy insufficiency vis-à-vis recommended energy intake levels. Among urban households, wealth was associated with energy intake and insufficiency at both time points, but there was no educational patterning of energy insufficiency in 2011–12.Conclusions:Results suggest little overall change in the SES patterning of energy consumption and percentage of households with insufficient energy intake from 1993–94 to 2011–12 in India. Policies in India need to improve energy intake among low-SES households, particularly in rural areas.


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