bluuebunny/crossref_metadata_2025_split huggingface dataset:
Monitoring System for Early Detection of Fire in Wetlands based Internet of Things (IoT) using Fuzzy Methods
Authors: Zulkarnain A F , Sari Y , Rakhmadani R 
Published: April 2021

Abstract
In Indonesia, especially the province of South Kalimantan is a province with a high frequency of forest and wetland fires. These fires seem to be a routine annual natural disaster. BNPB (National Disaster Management Agency) and BPBD (Regional Disaster Management Agency) Central Kalimantan recorded that during 2014 to early 2019, the largest area of forest and wetlands fires in Central Kalimantan occurred in 2015 with a total burned area of 583,833.44 ha. The fire early detection monitoring system that will be made based on Arduino Uno uses the MQ-2, DHT-22 sensor, and flame detector sensor and is integrated with the Thingspeak IoT, which functions to receive data sent from the Arduino Uno microcontroller using the ESP8266 module, then Thingspeak will send the data to an Android smartphone in the form of a real-time display and also a pop-up notification when a potential fire is detected. Finally, the fuzzy method is also added so that later the reading data from the MQ-2, DHT-22, and flame detector sensors will be more accurate before being sent to Thingspeak. The level of accuracy obtained from the readings of the three sensors against the tests that have been carried out is 90%.
Effect of Connected Non-Linear Household Appliances on the Disturbance at Frequency Range of 9-150 kHz in the On- Grid Photovoltaic System
Authors: Faizal  , Sudiarto B 
Published: April 2021

Abstract
Nowadays, the usage of power electronic circuit which is called inverter is increasing especially in household appliances. This inverter technology is the technology that can convert alternating current (AC) to direct current (DC), and this technology may produce disturbance at frequency range 9-150 kHz. In the residential area, a house can be built one of on-grid photovoltaic (PV) system, and the usage of household appliances inside the house system can be connected together at same time and operated simultaneously. This research is focused on investigating the effect of connected household appliances, such as induction cooker. The result shows that the connected two types of induction cooker in same system may either increase or decrease the disturbance value in the system. The connected appliances affect the disturbance through by the power consumption.
Analysis of temporal change in land use and impact of water resource in Delta’s Jeneberang Makassar, South Sulawesi
Authors: Massinai M F I , Khatimah K , Razin T , Arifuddin N S , Rahman M N A , Dzaky M A F 
Published: April 2021

Abstract
Twelve groundwater samples were collected in the delta Jeneberang River to study the possible impact of municipal solid waste (MSW) cause by land use cover change. The groundwater samples were collected for assessment in terms of physicochemical parameters such as pH and turbidity. A statistical analysis has been done with the calculation of the correlation coefficient and the water quality index (WQI) was used to analyze the groundwater quality of the study area. The study has revealed that the correlation between these parameters is about -0.476155325. Further, the WQI at the first location has a rating scale of C known as a poor water quality with an index value of 61.5 and the worst is at the 12th location has an index value of 90.58, or with a D rating as very poor water quality.
Implementing Cloud Computing Technology on Restaurant’s Expenses Monitoring System
Authors: Hasanah F N , Renaldi F , Umbara F R 
Published: April 2021

Abstract
Cloud computing offers the advantage to increase business productivity because it combines computer technology and internet-based development that is currently needed in various fields, including the restaurant industry. The application of cloud computing in the restaurant industry that has been carried out includes building payment transaction systems, restaurant reservation systems, and customer satisfaction systems. Although there have been many studies on cloud computing applications in the restaurant industry, there is still minimal research that discusses the consolidation of many restaurant branches’ expenses. Business activities in the restaurant industry require payments that need to be monitored appropriately to avoid waste, providing information on the cost-efficiency of costs quickly and accurately, allowing easy observation of expenditure data movement. The method used is by collecting expenditure data from all restaurant branches then processing it by comparing the income data obtained to produce output in the form of the level of efficiency achieved by each store. For three months, the sample data were obtained from the Cekeran Midun restaurant, which has seven branches in Bandung and Cimahi, Indonesia. The user acceptance test results show that all functions work well and have an overall acceptance rate of 83.33%, with most comments on the improvement being on the convenience of use and the system’s layout. Further research combines the calculation of costs in a restaurant. It allows the development of a platform that provides cloud computing-based online services that can be used collectively by various restaurants (software as a service).
Image Processing Technology for Edge Detection Based on Vision and Raspberry Pi
Authors: Patria L , Sambas A 
Published: April 2021

Abstract
Rice (Oryza sativa L) is the main food crop in Indonesia because most of Indonesia’s population consumes rice as a staple food. In this paper, we present a system that functions to detect weeds in rice plants using imaging analysis with a camera device and a Raspberry Pi. The Raspberry Pi got a picture of the field from camera that connected through USB connection and send it to the IoT server. The method used in the analysis is to combine the vertical projection method and the linear scanning method. The results showed that our system was very effective in detecting edges in rice plants.
Performance Analysis of Hydraulic Machines Using Impellers Made from Conventional Steel and 3D Printing Co-polymer
Authors: Sitte D , Sutanto H 
Published: April 2021

Abstract
The research on hydraulic machines in industries is appropriate for many reasons. This paper deals with the creation of 3D prototypes of impellers of hydraulic machines printed from ABS plastic and verification of operating characteristics compared to conventional steel impellers of pump and also in turbine mode. The work includes properties, composition and verification of mechanical properties of ABS for different printing methods. Practical measurements of the specific geometry of the different 3D variants of the radial one-stage centrifugal impeller from ABS compared to metal wheels in the real hydraulic circuit are described. The results of the development of experiments demonstrate that the performance characteristics of the printed impellers of all variants have very similar functional values and very identical trends of functional curves of mechanical power and overall mechanical efficiency. At the same optimal speed, the highest performance and efficiency also as the metal wheels have been produced. It is clear from the results of work that prototypes produced by 3D printing achieve optimal performance parameter values in hydraulic testing and it is possible to successfully use this advanced technology in the verification of newly developed pumps, turbines and pumps turbines.
Study of SEM, XRD, TGA, and DSC of Cassava Bioplastics Catalyzed by Ethanol
Authors: Sangian H F , Maneking E , Tongkukut S H J , Mosey H I R , Suoth V , Kolibu H , Tanauma A , Pasau G , As’ari A , Masinambow V A J , Sadjab B A , Sangi M M , Rondonuwu S B 
Published: April 2021

AbstractThis study aims at preparing and characterizing of bioplastics that utilized cassava biomass which was available abundantly in Indonesia. The bioplastic synthesis was conducted with two variations of the reactant, namely cassava + starch + glycerol + water + acetic acid (vinegar) and cassava + starch + glycerol + water + acetic acid + ethanol. Bioplastic obtained was characterized by employing scanning electron microscopic (SEM), X-Ray diffraction (XRD), Fourier transform infra-red (FTIR), thermogravimetric analysis (TGA), and differential scanning calorimetric (DSC). The results show that bioplastics with the second combination have a high degree of degradation, whereby they were consistent with XRD analysis, appearing a low crystallinity value. The functional groups have shown IR spectra presented the existence of C-H alkanes, C = O esters, and C-H alkene groups. While the surface morphology displayed a flat surface, which was relatively comparable to both samples and the reduction of sample mass during heating was at 2.32 mg.
RSEM Modelling for Eruption Precursors Investigation on Lokon Volcano
Authors: Kaendung V , Pandara D P , Pasau G , Ferdy  , Bobanto M , Telleng R 
Published: April 2021

Abstract
Acceleration of volcanic activity can be detected from changes in the amplitude and energy of the seismic signals recorded around the volcano. The acceleration can be described from RSEM modelling. RSEM is useful for determining eruption precursors on volcanoes. In this study, the calculation of the cumulative RSEM value on Lokon Volcano used a very powerful software, namely ObsPy. Based on the RSEM model, the eruption of Mount Lokon on 12 September 2014 was different in character from the eruption on 20 May 2015. One was dominated by hybrid earthquakes and the other was triggered by volcanic earthquakes. These result showed that RSEM modelling can be used to investigate precursor of eruption.
Plastic Waste Conversion Reinforced with Rice Husk Ash and Red Stone Powder as Partial Sand Replacement for Paving Blocks Production
Authors: Sastrawidana I D K 
Published: April 2021

Abstract
The conversion of plastic waste into economically valuable materials is an innovative way to reduce plastic waste in the environment. At the present study aimed to assess the compressive strength and water absorption capacity of paving blocks from plastic waste combined with rice hausk ash as sand partial replacement and red stone powder as its natural colorant. The speciment were casted in a 6 x 6 x 6 cm mold and pressed with a load of 6 tons using a mechanical pressing machine. The compressive strength and water absorption of paving block at different content of plastic powder and rice husk ash were investigated. The study revealed that paving blocks made by replacing sand with 40% of plastic powder and 5% of rice husk ash pigmented with red stone at the ages of 28 days have compressive strengths of 12.7 MPa with water absorption value of 3.75%. We recommend this paving block was suitable for non-traffic areas such as pedestrians, landscapes, and public walkways.
Study on Generalized Prefer-Opposite (GPO) Algorithm for Constructing the De Bruijn Binary Sequence
Authors: Setiawan A N , Astuti M , Mayasari Z M 
Published: April 2021

Abstract
De Bruijn binary sequence Sn of order n is a string of bits si ∈ {0,1} = {s1, …, s2
n}, so that each string with length n, {a
1, …, a

n
} ∈ {0,1}n appears exactly once. De Bruijn binary sequence can be built using the Generalized Prefer-Opposite (GPO) algorithm. The GPO algorithm is based on the Feedback Shift Register (FSR), which is a clock-regulated circuit with n sequential storage units. In running the algorithm, we need input consisting of the feedback function f(x
0,x
1, …, x

n−1) and initial state
b
=b
0,b
1, …, b

n−1
. There are many combinations of feedback functions and initial states that can be used, then grouped into three families namely family one, family two and family three. The purpose of this research is studying the GPO algorithm which use the feedback function from family two

f
(

x
0

,
..
,

x

n
−
1

)
=
1
+

∏

i
=
t

n
−
1

x
i

,
0
<
t
<
n
,
t
=
2
,
n
=
4

and initial state
b
=1100 in constructing the de Bruijn binary sequence. The result of this study indicate that the GPO algorithm with the feedback function and the initial state from the family two construct a de Bruijn binary sequence.
Absorption of Remazol Red dye from textile waste using activated carbon from coconut shell
Authors: Saraswati N L P A , Sastrawidana I D K 
Published: April 2021

Abstract
The use of dyes in textile industry has great potential in polluting the environment, particularly due to the remaining dyes in wastewater are very difficult to decompose naturally. This pollution can be reduced by conducting special treatment on textile waste to decrease the dyes level. One of the most popular is the adsorption method. The purpose of this research was to study the adsorption of Remazol Red dye in textile waste by activated carbon synthesized from coconut shell. Activated carbon was given two different treatments: without activation and with activation at 900 °C. The results showed that the activated carbon synthesized had water content of 22.52% (without activation) and 9.49% (with activation). The adsorption of these activated carbons against Remazol Red dye took place optimally at the contact time of 30 minutes by following the Langmuir adsorption isotherm model. The adsorption process occurs homogeneously with the formation of monolayer with a qm value (maximum monolayer capacity) of 226.2 mg/g (without activation) and 250 mg/g (with activation).
Phytochemical Screening and Antioxidant Activity of Hippobroma longiflora Extracts
Authors: Martiningsih N W , Mudianta I W , Suryanti I A P 
Published: April 2021

Abstract
This study aims to identify the secondary metabolite compounds and to test the antioxidant activity of ethanol extract, n-hexane fraction, and chloroform fraction of Hippobroma longiflora leaves. Extraction was carried out by the maceration method using ethanol. The resulting crude ethanol extract was then partitioned with n-hexane and chloroform. Each extract and fraction was then tested by phytochemical screening. Antioxidant activity testing was carried out using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) method. The phytochemical screening test showed that the ethanol extract contained flavonoids, saponins, triterpenoids, and alkaloids; the n-hexane fraction contained steroids, and alkaloids; and the chloroform fraction contained flavonoids, steroids, and alkaloids. Analysis of the antioxidant activity revealed the following Inhibitory Concentration (IC50 values): 9.57 ppm of ethanol extract, 99.59 ppm of n-hexane fraction, 48.54 ppm of chloroform fraction, and 4.30 ppm of ascorbic acid. Based on these results, the antioxidant activity of the ethanol extract was more potential than the n-hexane and chloroform fractions, but smaller than ascorbic acid.
Activity recognition (AR) to detect dementia using wi-fi based wireless sensor network with receive signal srength indicator (RSSI) method
Authors: Rubiani H , Samsoleh E , Fitri S 
Published: April 2021

Abstract
The existence of an increase in human life is the main goal of the growing development of information technology. There are several technologies in the field of Wireless Sensor Network (WSN) which are the main features, one of which is activity recognition. Using AR allows understanding human behavior when carrying out an activity. We have entered a period of population aging, namely an increase in life expectancy which increases with increasing old age. The elderly is susceptible to a disease called dementia. One of the symptoms of dementia is repetition of simple activities such as wandering. These symptoms can be detected by the AR system by classifying the current activity patterns of the elderly and comparing them with previously stored patterns to show early symptoms such as wandering. In efficient AR location research and Wi-Fi based detection methods using the Receive Signal Strength Indicator (RSSI) method and location detection algorithms with K-NN modeling with k = 1. With cross validation showing k = 1 yields an accuracy of 75.73% and distance The minimum average error is 0.298 meters which is better than k = 2 to k = 10.To see the pattern of object movement, in this case, the 85 year old elderly applies the Random Way Point (RWP) model as a model to infer or conclude dementia with calculating the value of the Atotal based on the location of the object and the time it was observed for 24 hours, and the result is that the amount of 3.139 exceeds the limit of normal conditions of 1.81.
Synthesis of Ag3PO4/HAp from Red Snapper Bone (Lutjanus spp.) For Photodegradation of Methylene Blue
Authors: Lairah V P J , Wuntu A D , Aritonang H F 
Published: April 2021

Abstract
Fish bone is one part of the fish body that is often not used in the fish processing industry, so it needs to be used as HAp. For the composite material to be used in the study of the photodegradation kinetics model of methylene blue, it must go through synthesis. This research went through a calcination process to obtain fish bone powder at a temperature of 600°C. The purpose of this study was to determine the kinetics model of the photodegradation of methylene blue by Ag3PO4/HAp composites from 600°C calcined fish bones with a ratio of Ag;HAp = 5:1 and 2.5:1. The synthesis was carried out by reacting HAp with acid and AgNO3 and then characterized by the X-Ray Diffraction (XRD) method. The results showed that the composite formed was Ag3PO4/HAp and at the peak of the 2θ samples diffraction patterns with standard diffraction patterns were very similar. The determination of this kinetics model resulted in the highest R2 value in the second order kinetics model with a mole ratio of Ag:HAp = 2.5:1, namely 0.001 so that the photodegradation of methylene blue took place following the second order kinetics model.
Comparison of Spatial Weights in Modeling Inflation and Money Supply Using the Spatial Vector Autoregressive Model with Calendar Variations
Authors: Sumarminingsih E , Setiawan  , Suharsono A , Ruchjana B N 
Published: April 2021

Abstract
In modeling inflation and the money supply simultaneously using SpVAR with calendar variations, it is necessary to have the appropriate spatial weight. There are several spatial weights that can be used, including uniform weight, inverse distance weight and weight based on normalization of cross correlation. This study aims to compare the three spatial weights for modeling inflation and the money supply simultaneously using the SpVAR model with calendar variations. The results of this study indicate that the weight based on normalization of cross correlation is the best spatial weight for modeling inflation and the money supply simultaneously using the SpVAR model with calendar variations because it produces the model with the smallest Mean Square Error (MSE)..
Prediction of the mechanical properties of Polypropylene reinforced with Snail Shell Powder with a Deep Neural Network Model and the Finite Element Method
Authors: Moumen Aziz , Laabid Zineb , Lakhdar Abdelghani , Mansouri Khalifa 
Published: April 2021

Abstract
Neural networks have led to the evolution of the processing methodology of computational sciences. The problems like bio composites modeling and prediction are difficult to model with classical mathematical and statistical tools because of the data inherent noise. NN’s processing capability in the forecasting, recognition, modeling, system analysis and control can give fast characterization, modeling and prediction of bio composites properties, provided as long as datasets are available. Using Matlab®, a neural network model was evaluated to characterize the optimal properties of the ANS reinforced the Polypropylene. The feed forward multilayer model provided best results in comparison with the finite element method and the experimental tensile tests. The trained neural network is able to provide a best prediction of such bio composite based on natural particles having more advantages to the environment, economy and the sustainable development.
Dynamic mechanical behavior of unfilled and graphite filled carbon epoxy composites
Authors: SudarshanRao K 
Published: April 2021

Abstract
In the present study, the viscoelastic behavior of graphite filled and unfilled carbon epoxy composite is investigated through dynamic mechanical analysis. The investigation has been conducted using a three-point bend test (flexure mode) in the range of temperature from 30 to 200° C at one Hz frequency at arate of heating of 2° C/min.The viscoelastic characteristics including loss-modulus, storage modulus, damping factor, and composite glass transition temperature have been determined. It was found that the dynamic mechanical characteristics of the carbon fabric reinforced epoxy are highly dependent on the presence of graphite particulate composites. The storage modulus, glass-transition temperature, and loss modulus of filled graphite composites were higher than the unfilled ones. However, combining a graphite filler with carbon epoxy composite limits polymer molecules movement that leads to a decrease in tan δ.
Optimization of Parameters for Nitronic-60 on Wire-Cut Electrical Discharge Machining using Zinc-Coated Wire
Authors: Srinivasa Reddy V. , Gopinath V. , Haritha M. , Marimuthu P , Chandrasekaran K. , Kalyan Chakravarthy N S 
Published: April 2021

Abstract
The objectives of this work are to research the effective parameters of pulse ON time; pulse OFF time; voltage & wire feed whereas machined on Nitronic-60 exploitation wire-cut discharge machining exploitation zinc-coated wire. During this work, metal removal rate, surface roughness, and kerfwidth are taken as output parameters. The experimental results planned an optimum combination of parameters that provide the utmost material removal rate, minimum surface roughness, and kerf dimension. Finally, confirmation experiments were disbursed to spot the effectiveness of the planned technique. Multivariate analysis and ANOVA are performed exploitation Response Surface Linear Model.
Surfactant free synthesis and characterization of α-MoO3 nanoplates: A feasibility study to remove methylene blue from aqueous medium
Authors: Jain V M , Shah D V , Patel K K , Doshi Y 
Published: April 2021

Abstract
Orthorhombic a-MoO3 nanoplates have been synthesized by surfactant free chemical method. The prepared samples were analysed by various characterization techniques viz. X-ray diffraction (XRD), Scanning electron microscopy (SEM), Energy dispersive analysis of X-ray (EDAX), Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy and Diffused reflectance spectroscopy (DRS). The XRD profile revealed the orthorhombic phase of the prepared material and obtained structural parameter confirms the formation of α-MoO3. EDAX depicts the prepared material’s compositional proportion and has no traces of the foreign elements as well. The topographic images of SEM indicate formation of nanoplate shaped MoO3 having a thickness in range of 200 to 300 nm. FTIR and Raman, on the basis of vibrational behaviour of chemical bonds present in the material, confirm the formation of orthorhombic MoO3. DRS study shows the band gap is about 2.95 eV. Further, the study of adsorption of methylene blue (MB) by synthesized MoO3 shows its potential application in the waste water treatment.
Hot Compression and Processing maps of Magnesium reinforced with Boron Nitride Nano-composites
Authors: Vara Prasad Kaviti R , Jeyasimman D. , Narayanasamy R , Gupta Manoj , Bharath V G 
Published: April 2021

Abstract
Hot compression analysis of Magnesium/Boron nitride nanocomposites were investigated with the help of UTM attached with Furnace having a capacity of 100 KN. The tests were conducted from 0.001-1 s–1 strain rate and 200–450°C temperature with an interval of 50°C. The Dynamic Material Model (DMM) is used to obtain the flow curves and processing maps and optimum hot-working conditions. The optical and scanning electron microscopes are used to analyse the microstructure of the materials. The results illustrated in relation to the material damage and structural change of the s amples are varied according to the environments. It was demonstrated that the correct microstructure is also associated with the microstructure observed.