bluuebunny/crossref_metadata_2025_split huggingface dataset:
Yield ability and grain quality of upland rice in Sukabumi and Lampung
Authors: Hermanasari R , Lestari A P , Yullianida  , Hairmansis A , Santoso  , Nasution A 
Published: April 2021

Abstract
Efforts to increase rice food production in the future are faced with increasing climate uncertainty due to global climate change. One of the impacts is changes in strains or biotypes of pests and diseases, which are increasingly rapid. To minimize the impact of climate change on national rice production. The purpose of this study was to produce upland rice lines that resistant to blast disease and had good rice quality. The research carried at Lampung and Sukabumi of 2018. A total of 17 lines and three comparison varieties tested using a randomized block design with four replications. Observations made on the agronomic character, yield components and quality of rice. The results showed that the average plant height in the two locations ranged from 90 to 136 cm. The number of productive tillers at two locations it’s the average of 11 panicles. The mean flowering age did not differ from the harvest age between the lines tested at the two locations. The length of panicle lines tested at two locations averaged 25.5 cm. The average weight of 1000 grains at both locations is 26.1 grams. Grain yield in Lampung averaged 4.7 t ha−1, higher than in Sukabumi 3.6 t ha−1. Five lines had no significant difference with Limboto both at the Lampung location and in Sukabumi. Among all the lines tested, there are three lines with the medium of chalkiness or LMM size. The results of testing in the greenhouse against blast disease obtained one line resistant to three blast races.
Development of functional beverages from herbs: aspect of nutrition, processing and safety
Authors: Pamela V Y , Kusumasari S , Meindrawan B 
Published: April 2021

Abstract
Indonesia has various herbal plants which potentially developed as functional food. Herbal plants such as ginger, lemongrass and pandan leaves can be processed into functional beverages as immune system booster. Functional beverages must fulfill two main functions, first having nutritional content and second, providing acceptable sensory functions such as good taste and texture. The processing of herbal plants into functional beverages requires knowledge of the bioactive compounds content, the ability of these compounds to boost the immune system and the safety of the resulting products. The safety of functional drinks products can be analyzed through the determination of the critical point (Critical Control Point) for the functional drinks processing.
Quality of red tuna (Yellowfin tuna) fishball, white oyster mushroom (Pleurotus ostreatus) on different types of packaging and storage time
Authors: Budaraga I K , Saibuma V , Hermalena L 
Published: April 2021

Abstract
This study aims to determine the effect of packaging type and storage time on the quality of red tuna (Yellowfin tuna) white oyster mushroom (Pleurotus ostreatus) meatball. This research was conducted at the Laboratory of Agricultural Product Technology, Ekasakti University, Padang, Laboratory of Instrumentation and Laboratory of Microbiology, Faculty of Agricultural Technology, Andalas University. The study was conducted for 2 months, from April to May 2019, using a Factorial Completely Randomized Design (CRD) consisting of 2 factors with 3 replications. The first factor is the type of packaging (without packaging, styrofoam packaging, wrap packaging), and the second factor is the storage time (0 hours, 12 hours, 24 hours). Observation data were analyzed using ANOVA with the F test followed by the Duncan Multiple Range Test (DMRT) at the 5% real level. The results showed that the type of packaging with storage time had a very significant effect on moisture content and protein content and had no significant effect on ash content. The type of packaging and storage time for the best white oyster mushroom tuna red tetelan meatball based on water content, ash content, protein content, ALT, Salmonella sp and Organoleptic bacterial contamination is the best use of Wrap packaging with a storage time of 12 hours.
Ethnopharmacological Properties of Essential Oils from Natural Forests in Northern Sumatra
Authors: Aswandi A , Kholibrina C R 
Published: April 2021

AbstractThe Covid-19 pandemic has raised global awareness for boosting the body’s immune system through organic product utilization and complementary therapies. This condition encourages re-disclosure of local wisdom in herbal medicine applications which involves essential oils in disease prevention and treatment. This paper describes the local wisdom of various forest essential oils utilization, to identify the phytopharmaceutical content and potential for herbal medicine. The research was carried out through exploration and in-depth interviews with 30 local community respondents who applied essential oils in traditional medicine in Humbang Hasundutan, North Sumatra; and Singkil, Aceh in 2019. This review also explored various literature regarding phytopharmaceutical content and safety issues of various plants used in traditional medicine. The study results identified at least 17 essential oils as the main therapeutic agent, including Sumatran camphor(Dryobalanops aromatica),benzoin(Styrax sumatrana),nutmeg(Myristica fragrans),andaliman(Zanthoxylum acanthopodium),and lemo(Litsea cubeba).The essential oils are extracted from leaves, fruit, flowers, bark, stems, roots, and resin in various ways. Some of the main compounds identified include a-pinene, camphene, limonene, 1,8-cineole, and p-cymene. In aromatherapy applications, essential oils aroma has a relaxing effect and offers relief to a congested respiratory system. The essential oils can also relieve inflammation, irritation, insect bites, itching, rashes, sprains, and muscle aches in topical application. Local wisdom reveals essential oils utilization to treat indigestion, headaches, and insomnia. The compound 1,8 cineole is potential as anti-viral, anti-bacterial, and antifungal, expectorant boosts the immune system and prospective for respiratory and blood vessels treatment.
Gender Adaptation Strategy to The Impact of Forest and Land Fire in Kelampangan Village Peatland, Sebangau, Central Kalimantan
Authors: Marlina S , Lautt B S , Usup A , Sunaryati R 
Published: April 2021

AbstractClimate change that occurs in Central Kalimantan mostly caused by forest and land fire has led to season shifting and gender life order changing. Thus, it resulted in a poor impact on gender life sustainability that was difficult to be recovered in a short time. This research aims to identify and evaluate the adaptation of women to forest and land fires in Palangkaraya and to express solutions that can improve gender equality. The research was conducted in Kalampangan, Sebangau. This research applied an interview method with a purposive sampling technique and conducted a descriptive analysis that emphasized climate change conditions in recent years. Climate change caused land changing due to forest and land fire. Therefore, it was also able to change gender roles (women) to take responsibility to support family economic conditions. This condition created a double burden carried by women, so this condition required a choice of adaptation for women in dealing with it. The intended strategic choices were (1) surviving with these conditions and utilizing modest agricultural products; (2) changing land, using a traditional system while the restoration of burned land was processed; (3) forming post- fire farmer groups by gradually changing their mindset.
Numerical Analysis of Inertance Pulse Tube Refrigerator
Authors: Choudhari Mahmadrafik S. , Gawali B. S. , Malwe Prateek 
Published: April 2021

Abstract
The inertance type pulse tube refrigerator (IPTR) has been extensively used in industries due to its small size and efficiency. The physical phenomena of oscillating flow in IPTR is complex and it can be examined by using a commercial computational fluid dynamics (CFD) software. Researchers are not so much interested in the 3D analysis of IPTR due to high computational time but for better visualization, it is very beneficial. A two-dimensional axis-symmetric model and 3D model is considered for simulation. The temperature at the cold heat exchanger (CHX) and phase difference between pressure and mass flow rate at CHX is demonstrated. In this paper, CFD analysis of IPTR has been done and various issues involved in the simulation are presented for the betterment in the desired solution.
A review on laser beam machining process modeling and optimization
Authors: Magdum V B , Kittur J K 
Published: April 2021

Abstract
Machining of advanced materials by conventional methods consequences in increased high cutting temperature, high cutting force magnitudes, tool wear, lesser tool life and meagre machined surface. Machining of these materials by conventional methods are originate to be uneconomic. Researches are attracted towards laser beam machining (LBM) between the various nonconventional machining methods. This paper focuses the probable usage of LBM for various materials machining, current progress, benefits and challenges in machining, process parameters and performance characteristics, modeling and optimization. There is need to agreeably designed process parameters which is appropriate to LBM. It is resolute that investigational based modeling and optimization methods are essential to generate model that gives very good fitting with experiments, while determining the effects of several process parameters.
Simulation Driven Approach For Deriving The PID Parameters For The Control Of An Electric Resistance Furnace (ERF)
Authors: Dev Prabhat , Jain Sidharth , Kumar Harish 
Published: April 2021

AbstractModelling plays a major role in predicting the behaviour of any system. It is also one of the crucial parts in the design of the control system and tuning of the controller. Tuning parameters are developed based on the transfer function obtained from the modelling process. The primary goal of this paper is to model and simulate a research grade Electric Resistance Furnace (ERF) under transient conditions and derive the transfer function using simulation data. Using this transfer function the gain parameters (PID, Proportional, Integral and Derivative) of the controller will be derived using conventional tuning approaches. The secondary goal is to provide an optimized model for future development of a Neural Network based controller for the furnace. The controller will be equipped with an auto tuning algorithm based on Model Predictive Control (MPC) which will have a Recurrent Neural Network (RNN) as a system model. The training data set for the RNN will be obtained by using the PID parameters derived in this paper. This would enable precise control of the furnace with lower rise and settling time, reduced or no overshoot, maximum stability and ramp hold ability.
Characterization of dissimilar friction stir welded joints of aluminium alloys by simulation and experimentation
Authors: Kumar R , Kumar A , Chattopadhyaya S , Kumar U , Gope D 
Published: April 2021

AbstractThe present work “Characterization of dissimilar friction stir welded joints of aluminium alloys by simulation and experimentation” is a combination of simulation and experimental work. In first part of the work friction stir welding (FSW) process is simulated in abacus software and then second part is based on the experimental work of friction stir welded joints of dissimilar aluminium alloys. In abacus, FSW process is well simulated. In this part heat generation profile during FSW is obtained in work-piece as well as in tool. In second part two alloys i.e. AA 5083 and AA 6061 is welded with friction stir welding process. Three process parameters were selected for welding. Three tool rotational speed is selected i.e. 500 rpm, 710 rpm and 900 rpm and one welding speed i.e. 25 mm/min. All the three welded samples were properly machined and different testing samples were prepared. Mechanical and micro-structural properties were studied on the variation of process parameters. From tensile test it can be concluded that with increase in tool rotational speed tensile strength increases. In all cases brittle fracture was observed. From microstructure study fine grains are observed in weld nugget zone.
Effects of Modulus of Elasticity on airflow in Human Respiratory airway
Authors: Shukla Rakesh Kumar , Tiwari Sandeep , Kumar Ashutosh 
Published: April 2021

Abstract
In this work, Computational analysis of air flow in human respiratory tract model is done by the use of CFD technique. Fluid Structure Interaction (FSI) method is used on the third-to-sixth generation simplified respiratory tract model for computational study. The modulus of Elasticity is varied in a range of 1 to 5 MPa and its effect on flow-physics is captured inside human airway model. The variation of velocity and its effect on deformation has been captured for both rigid and flexible model and its analysis is carried out. The result from simulation shows that as the Modulus of elasticity increases, wall deformation decreases.
Experimental Investigation of WE54 magnesium rare earth metal alloys by ageing treatment
Authors: Sachendra  , Singh Shailesh Kumar , Ujjwal  , Kumar Satyajeet , Singh Kuldeep 
Published: April 2021

Abstract
Magnesium alloys have potential applications in the automotive, aerospace, aircraft, and electronic industries. Strength of these alloys is due to solid-state precipitates, produced by age-hardening process. The current study deals with the precipitation and hardening behaviour of a commercial quality of magnesium rare earth WE54 alloy to provide a comprehensive report on precipitation and hardening. The Solid Solution treatment of the three samples alloys were performed at a temperature of 525°C and duration of 8 hours. Whereas the ageing treatment was performed at three levels of temperature 170°C,250°C and 300°C corresponding the time duration of 16 hours,4 hours and 4 hours. Mechanical properties of the WE54 rare earth alloy has been analysed along with the microstructure of the age treated specimens. The precipitation sequence and hardening response in the alloy due to ageing and the effects of precipitate shapes on strengthening along with the effect on precipitate behaviour on mechanical properties.
Applications of solar Photovoltaic’s to power stand-alone area and street lighting
Authors: Prakash Om , Kumar Satyajeet , Kumar Pramod 
Published: April 2021

Abstract
This paper is an introduction to the topics of photovoltaic solar energy conversion and with the help of solar illuminations; street lightings are employed in the surroundings of NIT JALANDHAR. The paper presents the Energy problem in the world: Growing consumption of energy. Solar radiation is described as a main source of renewable energy as well as possible applications of this energy by means of thermal conversion and photovoltaic conversion. The functionality of stand alone solar system is completely different than hybrid kind of solar system. Photovoltaic effect in the p-n junction and physical processes in the photovoltaic structures of solar cells are presented. The performance of each solar panel has been co-related through current and voltage (I-V) curve. The panel size and battery required to operate a better functionality is the key idea of solar photovoltaic system design and its smooth operation. The required number of batteries should be inline such a way that it does fulfil the requirement of power output.
Comparative Study of Electrical Discharge Machining, Electrical Discharge Drilling and Electrical Discharge Diamond Drilling of Nimonic 75
Authors: Kumar Rajeev , Chattopadhyaya Somnath , Kumar Sanjeev , Singh G.K. , Vates U.K. 
Published: April 2021

Abstract
Due to wide range of applicability of hard and difficult-to-machine materials like super-alloys (Ti-alloys, Inconel, and Haste-alloy etc), advanced ceramics, composite materials, and high technical characteristics of above-mentioned materials, suitable advanced machining processes are conducted. EDM is one of the most popular advanced machining processes. But the EDM process has low metal removal rate (MRR) so EDD is another machining process as it has relatively higher MRR as compared to EDM. Here electric discharge diamond drilling (EDDD), a hybrid-EDM process comes into the picture in order to improve the machining performance characteristics. The present research aimed to compare the process performance in electrical discharge cutting, drilling and diamond abrasive drilling. The effects of process parameters such as peak current (I), pulse-on time (Ton), and pulse-off time (Toff) were studied on metal removal rate (MRR) and tool wear rate (TWR) in electrical discharge diamond drilling of Nimonic 75.
Adaptive Control and Multi-variables Projective Synchronization of Hyperchaotic Finance System
Authors: Onma O S , Heryanto  , Foster B , Subiyanto  
Published: April 2021

Abstract
This paper introduces a new hyperchaotic finance system and show that it is a self-excited hyperchaotic attractor with the coexistence of double attractor with difference initial conditions for the same set of parameter values. Nonlinear feedback control function u

i
(t), (i= 1,2,3,4) via adaptive control laws are design for the control and synchronization of the 4D-hyperchaotic finance system with the multiple values of the economics scaling factor αi
, (i = 1,2,3,4), a special case of projective synchronization. The proposed schemes are able to stabilize as well as globally synchronize the two identical finance systems evolving from different initial conditions with uncertain parameter for the different values of α
i
(i = 1,2,3,4) . The analytical results were verified through numerical simulation.
Android-Based Intangible Cultural Heritage Expert System In Banten Province Using Backward Chaining Method
Authors: Purwanto I , Fauziah H Y , Subali M , Andriansyah M , Saptono D , Sukowati A I , Hanifah H 
Published: April 2021

AbstractExpert system is a system used to assist decision making that works by using the knowledge and analysis methods that have been defined by the expert. Intangible cultural heritage is a living cultural heritage that is recognized by some communities, groups or individuals. Banten Province has an intangible cultural heritage, but many people do not know there is many kinds of intangible cultural heritage that exist in Banten Province. The purpose of this paper is to make an Android-Based Intangible Cultural Heritage Expert System in Banten Province Using the Backward Chaining which is useful as a medium for the introduction of intangible cultural heritage that can be accessed easily. The software used is the Android Studio IDE which is installed with the Android SDK. The process of making an intangible cultural heritage expert system uses several stages, namely analysis, design, coding, implementation, and testing. The output of this research is that the application can be installed on an Android smartphone and data can be accessed offline.
Development of Electromyography Signal Function to Control Robot Arm Working Adaptively in the Reverse Direction of the Human Arm Movement
Authors: Siregar B , Sitompul O S , Zarlis M , Fahmi  
Published: April 2021

Abstract
Malfunctioning conditions in one arm can be experienced by humans due to congenital defects, accidents, or side effects of experienced health problems. This has an impact on reducing the effectiveness of work because in normal conditions humans often need a pair of arms that are able to function actively. This situation was tried to be overcome by utilizing a mechanical robotic arm controlled by an Arduino microcontroller and Myo Armband as a sensor for orientation and an electromyography signal from one of the user’s normal arms. The results of sensing from the user’s arm that have been successfully read are then processed using an algorithm that is built to provide a decision in the form of what action the robot arm should take. The test results obtained show that the robot arm responds real-time to input from the orientation of the user’s arm, although it is also found that sometimes the robot arm does not respond to input from the electromyography signal.
Bernoulli Fractional Differential Equation Solution Using Adomian Decomposition Method
Authors: Johansyah M D , Supriatna A K , Rusyaman E , Saputra J 
Published: April 2021

Abstract
Fractional calculus relates with derivatives, integrals, and differential equations of order not integers. The Bernoulli Differential Equation is a form of the first-order ordinary differential equation. This paper aims to solve the Bernoulli Differential Equation with α fractional-order using the Adomian Decomposition Method, where 0 < α ≤ 1. The fractional derivative used in this paper is the fractional derivative of Caputo. Based on several numerical examples presented in this paper, the results show that the Adomian Decomposition Method is easy and very effective to use for solving Bernoulli Differential Equations with fractional order α.
Design and Development of Fuzzy Logic Application Mamdani Method in Predicting The Number of Covid-19 Positive Cases in West Java
Authors: Yogachi E F , Nasution V M , Prakarsa G 
Published: April 2021

Abstract
The increase in covid-19 positive patients is unpredictable which results in being unprepared in dealing with Covid-19 cases. People in monitoring and patients under supervision are the category that is breastfeed to be covid-19 positive patients after passing the incubation period for 14 days. Artificial intelligence used to predict the increase in cases of covid-19 positive patients is fuzzy logic. The fuzzy logic method used in this study is the mamdani method. The enter variables used are the increase in ODP, PDP, and Covid-19 positive with 3 sets of low, medium, and high respectively. While the output variable is a positive prediction 14 days later. The curve used for fuzzification needs is a linear curve. The method of composition of the rules used is the MAX function and defuzzification using Centroid.
Disaster Tweets Classification in Disaster Response using Bidirectional Encoder Representations from Transformer (BERT)
Authors: Ningsih A K , Hadiana A I 
Published: April 2021

Abstract
The omnipresence of smartphones helps people to declare an emergency in realtime. In times of crisis, Twitter has become a big communication platform. As a result, more organizations are interested in tracking Twitter programmatically. Although governments and emergency management agencies work together through their respective national system for response to disasters, the sentiments of the people affected during and after the catastrophe decide the effectiveness of the disaster response and the recovery process. In recent years, sentiment analysis via Twitter-based machine learning has become a common subject. However, the detection of such tweets was often difficult due to the tweets’ language structure’s uncertainty. Thus, it is not always apparent if the words of a person announce a catastrophe. BERT (Bidirectional Encoder Representations by Transformers) is a profound learning model developed by Google. Since Google opened it, several scientists and companies have embraced it and have applied it to many text classification tasks. Therefore, we use BERT in this paper to some dataset disaster tweets. This research will help rescue and emergency responders establish effective knowledge management techniques for a rapidly evolving disaster environment.