bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of qualitative and quantitative characters of the hybridized chili (Capsicum sp) genotype C10 × C2
Authors: Hafsah S , Bakhtiar  , Rahmawati M , Nura  , Firdaus  
Published: February 2021

Abstract
This study aims to determine the diversity of qualitative and quantitative characters of hybridized chili plants The research was carried out at the Screen House of the Faculty of Agriculture, Syiah Kuala University, Banda Aceh from April to December 2019. The genotypes used in this research were hybridized chili (IPB C2, IPB C10, F1 C10×C2, BCP1 (C10×C2)×C10, BCP2 (C10×C2)×C2, F2(C10×C2). The Completely Randomized Non Factorial Design was used only for the placement of plant in the field. Data analysis was performed by calculating the average value, variance, and standard deviation. The results showed that the quantitative characters that could be made as selection characters were plant height, and number of fruit per plant. There is diversity in the qualitative character, the shape of lancet leaves are dominant to the shape of oval leaves. This can be seen in IPB C2, F1 (C10 × C2), BCP1 (C10 × C2) × C10 has the shape of a lancet leaf. On IPB C10 has an oval leaf shape then for BCP2 (C10 × C2) × C2 dan F2 (C10 × C2) have the same shape as oval and lancet leaves. Diversity is also seen in the position of flowers there are three types, namely upright, semi-erect and dangling, but all genotypes have the shape of elongate fruit. The result of this research showed the quantitative characters that can be used as selection characters were plant height and fruit number per plant.
Non-linear equity model for measuring patchouli oil at various levels
Authors: Juanda  , Sutiarso L , Maksum M , Ismoyowati D 
Published: February 2021

Abstract
Indonesian patchouli agroindustry involving many actors is one of the sectors that should be developed because it supplies most of the global patchouli oil. One thing that should be considered in the agroindustry development is the inequity of benefits among actors involved. The inequity is assumed to have made producers (farmers/distillers), as very decisive parties in the fulfillment of global market demands, i.e. the stability of supply and quality assurance of oil, unable to fulfill it. The main objective of this research is to develop a non-linear equity model to measure patchouli oil sales price at various transaction levels in order to ensure that all local value chain actors, especially farmers, distillers, and middlemen, get an equivalent ratio of benefits over their expenses. The return on investment (ROI) was chosen as an indicator because with the same ROI it can explain that each type of business in the patchouli value chain has the same attractiveness for investment, and all actors will get an equal ratio benefit (net profit) over their expenses (costs). The research was done in Gayo Lues District, Indonesia. Research findings recommend that to produce equal benefit among the actors, sales price per kg oil must be about IDR 536,718.55 for farmers; IDR 565,360.71for distillers and medium middlemen and IDR 595,565.95 for middlemen.
Irrigation control system design for paddy field by means of internet of things
Authors: Khairuman  , Satria E , Anugreni F , Asmaidi  , Rusnanda R , Barus E S , Yuna A , Arifa M 
Published: February 2021

Abstract
During this time the control of the water level that is done is still using manual tools in the form of floodgates placed between rice fields and irrigation. Given the importance of controlling and monitoring the level of irrigation water in rice fields, the authors get the idea to create a control system to close the irrigation floodgates on rice fields for farmers. In addition to notification in the form of a SMS (Short Message Service) reply to the telegram application, the open and close irrigation door system in paddy fields is a major alternative that is very useful for farmers to prevent crop failures if the water in the paddy fields exceeds the limit. In this system utilizing the work of ultrasonic sensors to measure any changes in water level in the paddy fields, then the data will be received and processed in the nodemcu and water level notifications will be sent to the telegram, to drive the irrigation door on the paddy using a servo motor that will open and close the irrigation door on rice fields automatically according to the conditions specified. if the water level is <2 cm, the irrigation door will open, the buzzer will not sound. And if the water level below> 2 cm, the irrigation door will be closed, the buzzer will sound as a sign that the water needs in the field are sufficient. While the notification in the form of an sms will be sent to the telegram.
The effect of mixing two herbicides pendimethalin and sulfentrazone on characteristics of soybean yield
Authors: Hasanuddin  , Hafsah S , Marliah A , Jumini  , Wansurianika  , Idawanni  , Aryani D S 
Published: February 2021

Abstract
Mixing two or more herbicides is one of efforts to increase herbicide efficacy in controlling weeds, where this weed control is needed to improve soybean yield. The purpose of this study was to determine the effective dose of mixing herbicides pendimethalin and sulfentrazone and to evaluate its effect to weeds and soybean yield. This study was conducted in June to September 2019, using Randomized Completely Block Design (RCBD) with 8 treatments. Variables observed were weed dry weight, phytotoxicity, number of pods per plant, number of seeds per plant, seed weight per plant, weight of 100 seeds and dry seed yield. The results revealed that the application of mixed herbicides pendimethalin and sulfentrazone gave an effect to weed dry weight, phytotoxity, seed weight per plant, weight of 100 seeds and dry seed yield. The application of 1 kg b.a ha−1 pendimethalin and 0.5 kg b.a ha−1 has decreased the weed dry weight and phytotoxicity. However, it has also increased the seed weight per plant, weight of 100 seeds and dry seed yield.
Determining rice production and distribution in Aceh province
Authors: Bahri T S , Hakim D B , Juanda B , Sahara  
Published: February 2021

Abstract
Attention to the capacity of Rice Milling Companies is very important because this company is the main business actor that creates added value. However, there is currently no knowledge of the relationship between the capacity of rice millers and business performance Comprehensive information about the value chain also provides a direction for investment options/opportunities, where this can be found in high value added activities. This investment opportunity is apparently not being taken advantage of by business actors in the Province, the obstacles they face need to be investigated, whether it is related to financing or regulations that may not yet support the development of the business. Based on value chain analysis, it can be concluded that. Pidie regency is the area with the greatest added value and Aceh Utara Regency is the region with the smallest added value because more of its rice production is sold outside the Regency, considering that in this region the rice processing industry has not yet developed. Rice milling provides the greatest added value in the rice value chain
Ash content of candlenut shell charcoal produced by candlenut shell carbonization tool using a vertical multi chambers
Authors: Amri A , Lindawati L , Fitriani F 
Published: February 2021

Abstract
Candlenut shell, as one of biomass that has not optimally utilized, can be converted into charcoal which potentially increase its value. Candlenut shell carbonization tool using a vertical multi chambers is a tool that designed to convert candlenut shell into charcoal. The quality of the resulted charcoal remains unknown. This research aims to identify one of the quality variable of the charcoal which is ash content. The method used in the research was Gravimetric Analysis. Three samples from each carbonization chamber were taken to be analysed. As the tool has three carbonization chambers, the samples are 9 in total. The result showed that every chambers has different amount of ash content which are 2.167 % in CCI, 1.020 % in CC II and 4.687 % in CC III. In average, the ash content in candlenut charcoal resulted from Candlenut shell carbonization tool using a vertical multi chambers is 2.624 %. Hence, the tool managed to meet the SNI charcoal quality requirement in term of ash content which may not exceed 6 %.
Comparison of radical scavenging activity of commercial Arabica and Robusta coffee based on roasting method and brewing condition
Authors: Hasni D , Safriani N , Nilda C , Rahmad D , Aneiza R 
Published: February 2021

Abstract
Coffee is a pleasurable beverage which worls widely consumed. Commercial coffee Commercial coffee comes from two species of coffee plant which is Arabica and Robusta coffee. Currently antioxidant activity in coffee is a popular topic which is obtained from drinking coffee that has passed through the complex stages of processes. In Banda Aceh, coffee drinking habits is obtained from coffee shops scattered throughout the nine districts, while drinking coffee considered as a necessity and tradition that has been handed down over the centuries. Each traditional coffee shop has a coffee featured with unique roasting and brewing methods. This study aims to identify the antioxidant activity in commercial Arabica and Robusta grounded coffee based on roasting method (torrefacto and conventional) and brewing (manual and cooked) condition. This research was conducted using Factorial Random Block Design with 3 replications, then it continued with Least Significance Difference (LSD). The analysis of variance (ANOVA) showed coffee varieties and the brewing condition and interaction within three variables have very significant influence (P≤0,01) while roasting methods significantly influenced (P≤0,05) the total phenolic content of coffee drinks. The study also showed that brewed coffee drink has higher total phenolic content and antioxidant activity compared to cooked coffee drink. Commercial Arabica coffee, which is torrefacto roasted and manually brewed has 127.58 phenol GAE / ml total phenol, antioxidant activity 46.89% and IC50 value of 254.89 ppm. On the other hand, commercial Robusta coffee which accepted similar treatment is slightly higher, 141.10 GAE / ml total phenol and the antioxidant activity of 50.88%. To sum up in this research, commercial robusta coffee, which is torrefacto roasted and manually brewed has higher antioxidant activity than other variety.
Effect of the compost mixer machine on the quality of compost made from shredded oil palm fronds (OPF)
Authors: Bulan R , Sitorus A , Ruslan  
Published: February 2021

Abstract
In general, the composting process made from oil palm fronds (OPF) is to reduce their size, mixing, and fermentation. One of the essential factors composting process is a mixed uniform between shredded OPF with other raw materials. In this paper, we discuss the quality of compost, which is stirred using a compost mixer machine (drum rotary double helix type). Composting methods chosen are natural inoculum and bokashi inoculum. Rotational speed of the mixer is applied at the levels of 100 rpm, 300 rpm, and 500 rpm. Parameters such as compost mass and temperature are recorded every five days for 60 days of composting duration. The N, P, K content, and C/N ratio were analyzed for 30 days and 60 days of composting duration. A total of 5 kg of mixed raw material was composted. Maximum temperatures recorded during the composting process of natural inoculum and bokashi methods were 35°C, 40°C, respectively. Mass loss of the two composting methods is 75%. A composting method, rotation speed, and composting duration do not significantly affect to achieve the Indonesian National Standard (SNI) quality of composting. Therefore, the use of various types of composting methods, low rotational speed compost mixer machine, and short composting duration can be applied to making compost using this machine.
Cutting sugarcane stumps with serrated cylindrical blades on ratoon cane
Authors: Syafriandi  , Putra B S , Fachruddin  , Fitra A 
Published: February 2021

Abstract
Cutting the sugarcane stump is one of the important activities in the ratoon sugarcane cultivation. Cutting the remaining sugarcane stump is done after harvest to grow new shoots. Cutting the sugarcane stump is usually done lower than the ground level. Cutting can be done manually or mechanically. The low productivity of ratoon cane can be caused by, among others, a lot of stumps that break, the time of cutting, shallow roots in the plants, and the lack of care in the plants. The cutting machine or stubble shaver used in sugar cane plantations have several disadvantages including inprecise blade design and the result of many stumps being broken so that productivity is low. The purpose of this study was to test the Serrated Cylindrical blades that rotate vertically to cut sugarcane stumps. As for the observations made the mound cutting profile, the percentage of stumps that broke, and the shoots productivity. The highest result of unbroken sugarcane stump in the second mound was 85.19%, then the first mound was 79.63% and then the third mound was 75.93%. The results of the growth of the number of shoots at 7 days after cutting in the first mound was 46 shoots, then the second mound was 43 shoots, and then the third mound was 34 shoots.
Optimization of Machining Parameters in Blisk Processing Based on Tool Reliability
Authors: Zhang N , Wu D W , Jiang G J 
Published: February 2021

Abstract
Machining parameters are essential factors affecting the machining efficiency and tool life. Tool reliability varies with the process. Tool reliability affects the life of the tool, and then impacts the processing quality and manufacturing cost. Therefore, machining parameters optimization considering tool reliability is essential and scientific. In this paper, firstly the reliability model of tool life was solved by Markov Chain Monte Carlo (MCMC) method. Then taking the average tool life as the constrain condition, a multi-objective optimization algorithm that integrates the gray correlation analysis (GRA), radial basis neural network(RBF) and particle swarm optimization(PSO) algorithm (GRA-RBF-PSO) was used to search for optimal machining parameters of blisk-tunnel processing. At last, experiments were carried out to validate optimized results. The experimental results indicated that the reliability-based optimization of machining parameters can effectively improve the tool life and as well as ensure smaller cutting force and larger material removal rate during blisk-tunnel processing.
A Survey on Software Reliability Demonstration
Authors: He Wei , Ding Jianyang , Shen Xiaomei , Han Xinyu , Tang Longli 
Published: February 2021

Abstract
Software reliability demonstration is the process of making scientific decisions on the development and management of software through logical reasoning with sufficient evidence and rigorous methodology. It is the first and foremost task in software reliability engineering. There is much literature on various aspects that aim to facilitate software reliability demonstration. In this paper, we provide an overview of the related concepts, principles, activities, standards and techniques. Besides, we discuss key issues that are pertinent to software reliability demonstration and presents directions for future research.
Identifying Safety Performance Indicators for Risk Assessment in Civil Aviation
Authors: Chen M , Chen Y , Ma S 
Published: February 2021

Abstract
Safety is particularly important for civil aviation because civil aviation accident will result in serious casualties and property losses. As a core element of safety management system, safety performance management plays a more and more important role in improving safety management efficiency of service providers. A systematic establishment process of safety performance indicator system is presented. A novel risk assessment model of a department is proposed based on four types of safety performance indicators identified by system and job analysis, event tree analysis, fault tree analysis, bow-tie, and so on. A case study of risk assessment using the proposed model is presented for two departments in an airport which implements safety performance management. The results illustrate the operation risk of different departments can be assessed based on safety performance indicator system.
Research and Analysis of Software Defect Measurement Elements Based on Analytic Hierarchy Process
Authors: Xu Z W , Wu L J , He R Y , Han X Y , Tang L L 
Published: February 2021

Abstract
It is not convenient for the general software quality evaluation system to be directly and quickly applied to the software quality evaluation to be tested. Therefore, this paper proposes a method suitable for the analysis of factors affecting software quality based on analytic hierarchy process. The analytic hierarchy process is used as the main framework, the distribution of the software’s own properties and accumulated test findings as input,the constructed defect weight ratio is used as the judgment matrix, Then do the hierarchical analysis. Through the analytic hierarchy process to analyse the weight of the factors of the software itself, test organizations can quickly make a fuzzy assessment of software quality, and provides the reference basis for the reasonable allocation of test resources.
Fault prediction method of analog circuits based on MLSTM
Authors: Fan Hui , Hu Weiwei , Si Tianyu , Sun Yufeng 
Published: February 2021

Abstract
According to statistics, most of the electronic equipment fault cases are related to the analog circuit, which may lead to the failure of the whole system due to the drift or performance degradation of the parameters of an electronic component in the analog circuit. However, because of the continuity of the parameters of each component, the lack of test nodes and the nonlinearity problems, the analog circuit becomes more difficult to prognose. The fluctuation and inconspicuousness of the degradation trend in analog circuits lead to the difficulty in extracting characteristic parameters and low accuracy of fault prediction. Therefore, a fault prediction method for analog circuits based on Multi-scale and Long-Short Term Memory (MLSTM) is proposed in this paper. Multi-scale feature learning method can divide the original data into different scales to improve the learning accuracy of small sample data. LSTM can well identify the temporal sequence of the widely separated events in the noise input stream. In this paper, the multi-scale feature learning method is combined with LSTM to improve the accuracy of fault prediction. Finally, the DC-DC switching power supply is taken as a case for verification, and the proposed method is compared with other algorithms to verify its accuracy and applicability.
Research on Availability Model of Two-dimensional Warranty Products Based on Incomplete Maintenance
Authors: Wang Rongcai , Cheng Zhonghua , Wang Qian 
Published: February 2021

Abstract
In view of the problem that the availability of two-dimensional warranty products is difficult to meet the actual needs of users during the warranty period, on the basis of incomplete preventive maintenance, this paper uses the accelerated failure time (AFT) model to describe the failure rate form of products, constructs the two-dimensional warranty product availability model and gives an effective solution. On this basis, taking the maximum availability of two-dimensional warranty products as the optimization objective, the optimal preventive maintenance interval and warranty period optimization scheme are calculated. Finally, the validity and accuracy of the model are verified by an example, which provides a scientific basis for manufacturers to formulate two-dimensional product warranty strategy.
Overview of Laser-Based Inspection Technology
Authors: Wang Qun , Pan Juan , Gao Guilong , Yao Dong 
Published: February 2021

Abstract
High-precision detection of structural state information and long-term monitoring of its operation process are the basic tasks that support the assessment of safety and reliability. Compared with methods such as sampling and testing, nondestructive testing does not damage the structural integrity, which has been the focus of research in recent years. Based on the demand for structural condition monitoring in the engineering field, this article has combed traditional non-contact monitoring technologies such as air-coupled ultrasound, and analyzed its working mode, technical characteristics, and application characteristics; around the non-contact characteristics of laser ultrasound technology, its excitation effect, Feedback picking, etc. were discussed. Finally, combing the technical characteristics and application basics, some suggestions for follow-up key research are put forward.
Research on the application of on-line monitoring technology for bolt axial force of wind turbine
Authors: Cao Linlin , Liu Kai , Zhang Zhongwei , Sun Wendong , Chen Weiliang 
Published: February 2021

Abstract
During wind turbine operation, hub and pitch bearing connection bolts are constantly subject to alternating loads. The axial force of the bolts is an important factor affecting the normal operation of the wind operation. Real-time monitoring of residual axial force can timely feedback the operation of the wind turbine and then the health assessment of the fan structure can be realized. This paper introduces a monitoring system of axial force based on ultrasonic method for measuring bolt axial force. The system can realize the data acquisition of multiple bolts and multiple measuring points in the period. Then, we introduce the engineering application of the system and the corresponding data management system. Through the analysis of the monitoring data, scientific and accurate maintenance of the connection structure is realized, which reduces the operation cost and quality cost. This paper also tests the adaptability of the system to verify its accuracy and reliability at different temperatures.
Prediction of magnitude data of multi-channel vibration on a vehicle platform environment
Authors: Zhu Yu-Qin , Wang Cheng-Zhang , He Jian-Xin , Li Jia-Meng , Wu Shuai , Li Di-Fan 
Published: February 2021

Abstract
The vibration prediction model of the key vibration source points of a vehicle platform is studied. Starting from the analysis of the factors affecting the vibration response and the correlation analysis, the key factors affecting the vibration response of the same vehicle structure are sorted out. The vibration prediction model of the key vibration source points is established by using neural network, and using the measured data to verify the accuracy of the vibration prediction model of the cabin section I, cabin II and cabin III of the platform. The results show that in the frequency range of 1∼500Hz, the maximum error of root mean square of cabin I is 2.75dB, that of cabin II is 2.3dB, and that of cabin II is 2.97dB.
Influences of cutting parameters on surface roughness of SiCp/Al composites
Authors: Wang J L , Huang S T , Pang B , Li H B 
Published: February 2021

Abstract
Poor surface roughness may reduce the safety and the stability of the parts, to analyse the relationship between cutting parameters and surface roughness is significative to increase the machining quality of SiCp/Al composites. In this paper, the influences of tool rake angle, cutting speed and cutting depth on the surface roughness of SiCp/Al composites were studied by the two dimension cutting experiments. The Ra values were measured by using type TR200 roughness machine. The results indicate that tool rake angle and cutting depth are the main parameters which affect the surface roughness while cutting speed has no significant effects on the surface roughness.