bluuebunny/crossref_metadata_2025_split huggingface dataset:
The KUB chicken farming technologies for the household in West Nusa Tenggara
Authors: Astiti LGS , Widiastuti E , Sudarmayanti BA , Adnyana IPCP , Yasin M , Triguna Y , Agustini N 
Published: February 2021

Abstract
In Indonesia, there are various serious efforts have been conducted by the government to fight against the poverty until recently. One of the leading projects recommended by the Indonesian Agricultural Development Research Agency was the assisted KUB chicken farming packages that has been carried out through the 2018-2019 BEKERJA Program. The KUB chicken was recommended because it has various advantages such as being able to be harvested at the age of 70 days and high egg production (180 eggs/year). Meanwhile, to assess the effectiveness of the program, especially in behavior and perceptions of poor households (participant of the program) involved towards farming of KUB chicken, an in-depth study was conducted in two sub-districts in Central Lombok district. There are 200 respondents randomly selected from 20 villages. The required data was gathered with structured questionnaire. It uses 13 indicators of KUB chicken farming technology as an instrument. Furthermore, the data, then analyzed using of descriptive analysis, regression and t-test with SPSS software. The result shows that gender, age, education and experience of respondents did not have a significant effect (P> 0.05) on their perception about KUB chicken farming technology. In contrary, the knowledge that taught through technical assistance has significant impact (P<0.05) on it. Amongst 13 components of technology that has disseminated and known by respondents, 38% of it has been applied. Moreover, the total score of respondent’s perception on farming of KUB chicken was 3.57. It means that the poor household involved in the program has accepted the technology for farming of KUB chicken that has been disseminated.
Rapid classification based on image using residual neural networks
Authors: Setiawan H , Millinath R 
Published: February 2021

Abstract
Every human being is created with a certain gender, female or male. Gender differences provide opportunities for mating and producing offspring for regeneration. With the development of the world of information technology, the recognition of gender based on digital photos can be done for the needs of biodata, permission to access public toilets and others. The process of sex classification based on photographs with the use of residual neural networks has been carried out in this study. The process consists of several stages, namely the learning process of the features of each image that has been classified in a male or female class. The next process was carried out by resnet classification of 3,354 pictures (jpg) of men (1414 files) and women (1940 files). The data divided into 2 parts, 80% for training, 20% for testing data. The results of total images of 588 from total available data obtained an accuracy rate of 89.49%.
The investigation on cowrie honeypot logs in establishing rule signature snort
Authors: Satria E , Huda T P S , Iqbal M , Sarjana F W 
Published: February 2021

Abstract
The attack of brute force is still one of the popular attacks used to hack into your account unauthorized by a computer system. Brute force is also the most crucial attack and has a high risk of the system being taken over. Investigating brute force attacks is useful for building strong computer network defense systems. In this study, Snort acts as an intrusion prevention system and Cowrie Honeypot as a tool to investigate anomalous behavior that occurs when a brute force attack happened. The aim of this research is to improve Snort's rule signature performance from brute force attacks by relying on the results of the Cowrie Honeypot log investigation. The results obtained, namely Snort rule signature successfully improved detection capabilities with performance in matching the same packet only requires a short processing time, respectively: 3.5 microsecs in Hydra attacks, 3.8 microsecs in Medusa attacks and 2.3 microsecs in Ncrack attacks.
Agriculture environment monitoring: rapid soil fertility evaluation by means of near infrared spectroscopy
Authors: Munawar A A , Yunus Y , Devianti D , Satriyo P 
Published: February 2021

Abstract
In agricultural practices, the development of environmental controlling programs is essential in maintaining soil fertility. It should be monitored constantly in real time situation by predicting soil properties such as nutrients and mineral contents. The main purpose of this presented paper is employ the near infrared spectroscopy (NIRS) technique in determining nitrogen (N) and magnesium (Mg) content of agricultural soil rapidly and simultaneously. Near infrared spectra data of soil samples were obtained by acquiring absorbance data in wavelength range from 1000 to 2500 nm using a portable sensing device NIR with a photodiode array detector. Spectra data were enhanced using mean normalization approach to improve prediction accuracy. Further, prediction models were developed by means of partial least square regression (PLSR) followed by cross validation. The results showed that both soil fertility properties (N and Mg) can be predicted by NIRS with maximum correlation coefficient (r) were 0.93 and 0.91 for N and Mg respectively. It may conclude that NIRS technique was able to be used in agriculture environment monitoring especialy to predict soil fertility properties.
Thermal vision of oil palm fruits under difference ripeness quality
Authors: Fauziah WK , Makky M , Santosa  , Cherie D 
Published: February 2021

Abstract
Indonesia is the primary producer of palm oil. The edible oil in the palm fruits mesocarp obtained through mechanical extraction, where the quantity and quality of oil regulated by the fruit ripeness upon harvest. When oil forms and accumulate in the mesocarp, it replaces the moisture until the optimum ripeness reached before oil started to deteriorate. However, due to its nature, harvesting the fruits at optimum ripeness is challenging. Since water and oil have different thermal properties, in this study, we developed a Thermal-Vision system to observe the thermal properties of the fruits before harvest. Five harvest windows selected, namely 110-130, 131-150, 151-170, 171-190, and 191-200 days after anthesis (DAA). The recorded images then processed to determine the surface temperature of each fruit. The oil obtained from fruits as quality parameter evaluated. Additionally, Moisture Content (MC) of fruits mesocarp measured. Models were developed using the Multilayer Perceptron Artificial Neural Network algorithm to correlate fruits' thermal properties with measured parameters (Oil Content). The coefficient determination (R2) of FFB ripeness with the OC of 0.9058 and OC with temperature of 0.8039.The models successfully predict with R2 upon calibration was 0.7818 with SEC of 0.0831. While upon validation R2 value was 0.9535 and SEP of 0.0003.
Development of a low-cost modular VIS/NIR spectroscopy for predicting soluble solid content of banana
Authors: Pahlawan M F R , Wati R K , Masithoh R E 
Published: February 2021

Abstract
Soluble solids content (SSC) is one of the most important parameters of banana associated with taste and consumer acceptance. NIR spectroscopy has been applied for nondestructive determination of SSC, but limited studies were conducted for a low-cost and modular VIS/NIR spectroscopy. This study was conducted to develop a calibration model to predict SSC in bananas using a modular type of VIS/NIR spectroscopy in the range of 350-1000 nm by varying distances of fiber optic probe to samples. Two varieties of bananas, namely Musa acuminata × balbisiana and Musa acuminata ‘Lady Finger’ were used. Partial least square regression (PLSR) was used to build a calibration model and to predict SSC of bananas. Normalization, baseline correction, standard normal variate (SNV), and multiple scattered (MSC) correlation were used for spectra preprocessing. The research showed that using 2 cm probe-sample distance and SNV method resulted in the best model with the coefficient correlation of calibration

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and prediction

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of 0.95 and 0.87, respectively. This study proved that probe-sample distances affected the efficiency of the model for VIS/NIR spectroscopy. This work concluded that the low-cost modular VIS/NIR spectroscopy is a promising tool for SSC measurement.
Novel utilization of coffee processing by-products: kombucha cascara originated from ‘Gayo-Arabica’
Authors: Muzaifa M , Andini R , Sulaiman M I , Abubakar Y , Rahmi F , Nurzainura  
Published: February 2021

Abstract
One of the current significant environmental challenges that have to be dealt with the majority of farmer in Indonesia, especially those on Gayo highlands - is the absence of an optimal utilization of coffee by-products or waste, which is deliberately produced in a great amount during the coffee processing. The Gayo highlands are located in the middle regions of Aceh province and widely known as the most extensive arabica coffee plantation all over Indonesia, with a total area 101,473 hectares. The aim of this research was to optimally utilize the by-products or the exfoliated cherry-pulp into the so called kombucha cascara bearing great economical potential. However, further information in terms of its optimum processing condition (the length of fermentation duration, concentration of kombucha starter) from the cherry pulp into kombucha cascara has been much unexplored. In order to reveal that, we were trying to apply the effects of wo determinants, namely: i) fermentation duration (8,12 days); ii) starter concentration applied (3%, 5%, and 7%) on kombucha cascara’s chemical parameters [pH, total phenolic amount, antioxidant activity] and sensory in the form of hedonic test. Such test enabled us in describing consumers’ preference based on its ‘pronounced’ the taste. Results showed that pH was ranged from 2.63 until 3.10, meanwhile, a relatively high antioxidant activity ranging from 25.78 and 51.69% noted with a total phenolic compound between 64.00 - 105.20 mg GAE (Galic Acid Equivalent)/ml were measured. This can be inferred that quality was shown to be deliberately affected both by the length of fermentation and starter’s concentration, albeit the first one was to be more affecting. The longer the fermentation period, the lower the acidity value, and interestingly, significant decreases by total phenolic compound and antioxidant activity were also measured. It is also concluded that 12-days fermentation process added with 5% started received the highest score for sensory test.
Database application based on quick response method in Subulussalam Aceh
Authors: Putra D S , Fardiansyah  , Febrianti D H , GS A D 
Published: February 2021

Abstract
Customers are a very important part of the sustainability of a company. The PT. PLN (Persero) is a state electricity company in Indonesia. It has many customers in the Subulussalam district. This study aims to design a customer data management system for PT. PLN (Persero) using the QR code scanner. The method used in this system uses a use case diagram and waterfall model. The database design uses the Entity Relationship Diagram (ERD) model. The system implementation uses PHP as the system interface and MySQL as its database. By scanning the QR code on the customer's meter so the officer can find out the customer's identity number and data. The system test results show that field officers can access customer data in realtime so that the information obtained becomes faster and more accurate.
Chemical and microbiology assessment of salted fish (anchovy and catfish) product in Banda Aceh District as a parameter of food safety
Authors: Lubis Y M , Zaidiyah  , Yusriana  , Dinti S S 
Published: February 2021

Abstract
The process of salted fish which tends to neglect the elements of sanitation and hygiene and the use of formaldehyde provides a potential hazard if consumed by the community. This study aims to determine the chemical quality parameters of catfish and anchovy salted fish products circulating in Banda Aceh District Market. The analysis carried out are the analysis of moisture content, salt content, acid insoluble ash content, total plate count and formalin qualitative test. The results showed that 3 out of 5 local markets meet the SNI (Indonesian National Standard) requirements (8273: 2016) for moisture content. Salt content for both of salted fish in 5 local market meet the SNI. On the other hand, acid insoluble ash content and total plate count find higher than SNI requirement. The test results showed that catfish and anchovies in all the selected market are positive containing formaldehyde.
Study of mineral properties in granite rocks Ujung Karang village, South Aceh
Authors: Iman B B D , Sihombing A R , Jalil Z , Amri A , Putra D S 
Published: February 2021

Abstract
Granite rock is a non-metallic rock, one of which is located in Ujung Karang Village, South Aceh Regency, this rock has a high commercial value, but depends on the type and color that is owned. So to find out need to do a basic study of these rocks. The purpose of this study was to obtain preliminary information on the constituent minerals and dominant colors that appeared in the granite rocks of Ujung Karang Village. This research method uses X-ray fluorescence (XRF) and Scanning Electron Microscopy (SEM) techniques. The test results showed that 17 dominant mineral phases were identified, while others were minor phases. The largest mineral phase is in the SiO2 compound at 63.6%, while the smallest mineral phase is in the ZnO compound at 0.01%. While the surface morphological observations obtained 46.49wt% O elemental bases, then 28.60wt% Si elemental bases, and 09.57wt% basic element Al, besides these elements, there are also other elements namely 05.65wt% O basic elements, 04.68wt% Na basic elements %, the element Fe is as broad as 03.72wt%, and Mg is as basic as 01.71wt%. The surface morphology in these rock samples is irregular with varying grain sizes. Visually visible colors are dark and white, and it can be assumed that the elements contained in the granite are predominantly Si or Silica elements.
A Method of Reliability Weight Distribution of Wind Turbines
Authors: Li Xin , Wang Ying , Zhang Lele , Zhao Jingshen , Liang Sheng 
Published: February 2021

Abstract
Aiming at solving the reliability weight distribution problems of SL1500 wind turbines from Sinovel Wind Group Co., Ltd, an integrated method of historical fault maintenance data-based, improved fuzzy hierarchy analysis process and entropy weight method is proposed to achieve the weight distribution of each subsystem of wind turbine. The method takes both maintenance data and expert knowledge into consideration, which can well avoid one-sided problem from the view of considering only subjective or objective factors. The modified weight distribution algorithm is more practical for further reliability evaluation of wind turbine.
An Improved High-Moment Method for Reliability Analysis Based on Polynomial Chaos Expansion
Authors: Zhao Jianyu , Guo Jianbin , Wang Jingyan , Xu Hao 
Published: February 2021

Abstract
For structural reliability analysis, the moment method provides a relatively effective way to estimate the failure probability only using the moment information of a given model. However, it may introduce extra computation costs to obtain the required moments of the model output accurately, especially for some high moment methods like the third-moment method and the fourth-moment method. This study improves the traditional high-moment method based on the polynomial chaos expansion (PCE). The proposed method firstly derives the PCE-based high order moment algorithm by multiplying the orthogonal polynomials of PCE itself. Then, the integration between the PCE and the high-moment method are proposed for failure probability calculation. Besides, different input distributions as well as correlations among input variables are also taken into consideration to expand the scope of suitability. Compared with the existing methods, the proposed method is more efficient and accurate for structural reliability analysis by an engineering example.
Study on the Reduced Reliability of A Certain Amplifier Caused by Electrostatic Discharge (ESD)
Authors: Zhu Guixia , Lan Jian , Li Diliang , Qian Yugang , Zhou Tianmi , Hu Yuying 
Published: February 2021

Abstract
This paper introduces and analyzes the single-channel tripping accident of a reactor as a result of false triggering of a certain amplifier caused by electrostatic discharge (ESD). In response to this problem, a simulated operational amplifier circuit platform is built in practice to verify the analysis results, and a solution is proposed at last. In addition, further analysis is made to the existing preventive maintenance plans, and cable shielding is found to be problematic; therefore, the principle and analysis of cable shielding are given here.
Software Reliability Index Determination Based On Mission Profile
Authors: Ding J Y , He W , Xue J K , Shen X M , Han X Y 
Published: February 2021

Abstract
The reliability parameter selection scheme and reliability index determination method of embedded software are always the focus and difficulty of research. Based on the analysis of the existing technology and the actual situation of the software, this paper proposes a method to determine the software reliability index based on the task profile. This method firstly analyzes and selects the software reliability parameters combined with the characteristics of embedded software, then generates the task sequence according to the task characteristics and failure characteristics of embedded software and establishes the task profile. Finally, the parameters are selected according to the reliability parameter selection principle and the reliability index is determined according to the software characteristics.
Simulation Analysis of Complex Aluminium Alloy Structural Component of High-Speed Train
Authors: Qian Wenxue , Zeng Xianhai , Huang Shuanghui , Yin Xiaowei 
Published: February 2021

Abstract
High-speed trains are now the most important medium- and long-distance mode of transport in many countries, and green economy is one of the important directions of high-speed train design. Aluminum alloy material is widely used in various structural parts of high-speed trains due to its advantages of high strength and low density, etc. As the speed of high-speed trains is getting faster and faster, the load on the car body structure is getting bigger and bigger, the safety, reliability and longevity of aluminum alloy structure has received wide attention. In this paper, the stress distribution, maximum stress value and maximum stress point position of aluminum alloy structural members of high-speed trains are analyzed in detail based on the real load situation, and the influence of stress level on train operation is analysed. The above work has certain reference significance for the design of high-speed train.
Performance Degradation Modeling and Reliability Analysis of Aviation Connectors in Marine Environment
Authors: Wang Ge , Zhou Jian-Qi , Zhao Yong-Tao , Feng Jing , Sun Quan 
Published: February 2021

Abstract
The influence of marine environment on the reliability of a certain type of aviation connectors is studied. Firstly, the step-stress accelerated degradation test which simulates marine environment in South China Sea is designed. And the performance parameter data of four material types of aviation connectors: stainless steel, composite cadmium plating, titanium alloy and aluminum alloy cadmium plating are collected. And then, in order to study the degradation of performance parameters, the mixed effect model is adopted. At last, the reliability lifetime of four material types of aviation connectors are evaluated by means of reliability modeling and analysis. This research provides an effective path for reliability evaluation of aviation connectors, meanwhile it also gives a reference for aviation connectors’ selection.
Maintenance decision of meta-action unit based on Grey-BWM
Authors: Li Xinlong , Ran Yan , Yu Hui , Chen Yifan , Zhang Genbao 
Published: February 2021

Abstract
In order to reduce the maintenance cost, improve the availability, reliability, safety and product quality of the equipment, it is necessary to maintain the equipment. The choice of maintenance strategy is not only related to economic interests, and even endanger personal safety. Traditional maintenance decision-making often takes parts or the whole system as the decision object. Taking components or systems as decision-making objects, too large grains are easy to lead to wrong maintenance decisions, resulting in over repair or under repair; taking parts as decision-making objects, the analysis and decision-making of the system is too complicated. In this paper, the meta-action unit is taken as the research carrier, and the grey weight of each criteria is obtained by combining the grey system theory with the best worst method (BWM). The comprehensive grey value of the evaluation is calculated by the grey number algorithm and its comparison method, and the best maintenance scheme is obtained by comparison. The example analysis proves the effectiveness of the method.
Reliability Analysis of Dependent Systems using Copula Bayesian Networks: A Case Study
Authors: Xie Guofeng , Xing Liudong , Khan Faisal , He Liping 
Published: February 2021

Abstract
The Bayesian Network (BN) is a technique that utilizes updating, adapting and discrete-time-based analysis properties for system reliability analysis. Although the BN is a powerful technique, it still faces the challenge of modelling non-linear complex correlations of process components. This paper presents a Copula Bayesian Network (CBN) model to address challenge of modeling non-linear relationships. The superiority of the CBN model lies in integrating the advantage of Copula functions in modelling complex dependent structures with the cause-effect relationship reasoning of process variables using BN. Application of the CBN model is illustrated through a detailed reliability analysis of an example mud pump system. The results reveal the influence of different types of Copula functions and different parameters on the system reliability.
Reliability analysis of k-out-of-n Phased-Mission systems with Phase-AND requirement
Authors: Hu Y , Wang C , Xing L 
Published: February 2021

Abstract
In this paper, the reliability of a non-repairable phased-mission system (PMS) with k-out-of-n structure and phase-AND requirements is modeled and analyzed, where the required number of working components k and available components n may vary in different phases. The phase-AND requirement implies that the mission fails only when it fails in all the phases. In other words, the success in any one phase would lead to the successful execution of the entire mission. A new multi-valued decision diagram (MDD)-based method is suggested for reliability analysis of the considered PMS. Different from the existing methods that generate the PMS reliability model phase by phase, the proposed MDD method encompasses a fast model generation procedure that considers behaviors of all the mission phases together. The proposed MDD-based method is combinatorial and thus applicable to any types of component time-to-failure distributions. The application and advantage of the proposed method are demonstrated using an example.