bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Strength Stiffness and Modes for Bus Body Frame
Authors: Yao Chunge , Yang Mengjie 
Published: January 2021

Abstract
In this paper, the bus body frame is made as a research object. The finite element model of bus body frame is built in Hypermesh software. The static strength and stiffness of bus body frame under four typical working conditions are calculated by Nastran solver. Modal analysis is carried out by Lanczos method, low natural frequency and vibration mode are obtained. The analysis of results show that the strength and stiffness of bus body frame must meet design requirement, and the modal frequency is also within the design range. According to finite element analysis, the development cycle of new product is reduced, and theoretical basis for later model improvement and optimal design is provided.
The Sufficient Conditions of The C*-Module C*m to become a C-Subcomodule
Authors: Puspita N P , Wijayanti I E , Surodjo B 
Published: January 2021

Abstract
Let R be a commutative ring with identity and M be a comodule over R-coalgebra C. It was already well-known that any C-comodule M is a module over dual algebra C* where C* is the set of all R-module homomorphisms from C to R. Furthermore, the category of comodule is a subcategory of the category of C*-module. Hence, any C-subcomodule of M is a C*-submodule of M, and the conversely is not true. For any non zero element m in M, C*m is a C*-submodule of M. In general, C*m is not to become a C-subcomodule of M. By using the theory of exact sequences in modules and the theory of categories, we give a condition such that C*m to be a C-subcomodule of M.
Solution Formula of the Compressible Fluid Motion in Three Dimension Euclidean Space using Fourier Transform
Authors: Alif A H , Maryani S , Nurshiami S R 
Published: January 2021

Abstract
We derive a detailed determination of the solution formula for the compressible viscous fluid flow in three dimensional Euclidean space using Fourier transform. For the further research, we can not only generalized the model problem to the N-dimensional Euclidean space (N>3) but also we can estimate the solution operator families of the model problem.
The Locating Chromatic Number for Split Graph of Cycle
Authors: Prawinasti K , Ansori M , Asmiati  , Notiragayu  , G N Rofi AR 
Published: January 2021

Abstract
The minimum number of colors in a locating coloring of G is called the locating chromatic number of graph G, denoted by χL
(G). Split graph of cycle with a set of vertices {υ
1, υ
2, υ
3, …, υ
n} is graph obtained by adding on vertex υi
as many new k vertices

υ

i

1

,

υ

i

2

,

υ

i

3

,

…

,

υ

i

k

, so that each vertices

υ

i

1

,

υ

i

2

,

υ

i

3

,

…

,

υ

i

k

neighbouring with each vertex that is neighbouring to vertex vi
in the cycle graph. Split graph of cycle, denoted by spl(Cn
) In this paper will be discussed about the locating chromatic number for split graph of cycle.
Application of Vector Error Correction Model (VECM) and Impulse Response Function for Daily Stock Prices
Authors: Winarno S. , Usman M. , Warsono  , Kurniasari D. , Widiarti  
Published: January 2021

Abstract
Vector Error Correction Model is a cointegrated VAR model. This idea of Vector Error Correction Model (VECM), which consists of a VAR model of the order p - 1 on the differences of the variables, and an error-correction term derived from the known (estimated) cointegrating relationship. Intuitively, and using the stock market example, a VECM model establishes a short-term relationship between the stock prices, while correcting with the deviation from the long-term comovement of prices. An Impulse Response Function traces the incremental effect of a 1 unit (or one standard deviation) shock in one of the variables on the future values of the other endogenous variables. Impulse Response Functions trace the incremental effect of the marketing action reflected in the shock. The data used in this analysis are 4 (four) daily plantation stocks prices in Indonesia with time period of January to July in three years which are 2018, 2019, and 2020. The objective of this study is to determine the relationship among 4 (four) stocks prices with VECM and to know the behaviour of each stocks prices with Impulse Response.
Quantitative Method For Analysis of Non-Performing Financing Return: A Case Study on Assets of PT. BSM
Authors: Nurvazly D E , Muharramah U , Zakaria L , Chasanah S L , Ferdias P 
Published: January 2021

Abstract
There are several ways to describe data mathematically. Likewise with the computing tool. As a computational aid, Mathematica® is designed to make it easier for users to carry out the calculation process symbolically or numerically. This article will discuss the use of Mathematica® to describe banking data through quantitative methods. A case study that discussed in this article is the results of the analysis of the influence of Non-Performing Financing (NPF) against the financial performance of PT. Bank Syariah Mandiri (BSM) through indicators of Return on Asset (ROA). Research conducted using a quantitative approach to the data of the financial statements of PT BSM. The sampling technique used was purposive sampling criteria the Public Sharia Banks publish annual financial statements in the period 2009-2018 with > 75 trillion rupiahs in assets. Based on quantitative method using Mathematica® programming, the research data has a normal distribution and no deviation from the rules of classical assumptions. In addition, the diversity of the data being used can explain the regression models constructed by the NPF variable towards the ROA variable, and the hypothesis testing results show that the variables of NPF have a significant, negative effect on ROA.
Sub-Exact Sequence On Hilbert Space
Authors: Utami B H S , Fitriani  , Usman M , Warsono  , Daoud J I 
Published: January 2021

Abstract
The notion of the sub-exact sequence is the generalization of exact sequence in algebra especially on a module. A module over a ring R is a generalization of the notion of vector space over a field F. Refers to a special vector space over field F when we have a complete inner product space, it is called a Hilbert space. A space is complete if every Cauchy sequence converges. Now, we introduce the sub-exact sequence on Hilbert space which can later be useful in statistics. This paper aims to investigate the properties of the sub-exact sequence and their relation to direct summand on Hilbert space. As the result, we get two properties of isometric isomorphism sub-exact sequence on Hilbert space.
The Formula to Count The Number of Vertices Labeled Order Six Connected Graphs with Maximum Thirty Edges without Loops
Authors: Puri F C , Wamiliana  , Usman M , Amanto  , Ansori M , Antoni Y 
Published: January 2021

Abstract
If for every pair of vertices in a graph G(V,E) there exist minimum one path joining them, then G is called connected, otherwise the graph is called disconnected. If n vertices and m edges are given then numerous graphs are able to be created. The graphs created might be disconnected or connected, and also maybe simple or not. A simple graph is a graph whose no paralled edges nor loops. A loop is an edges that connects the same vertex while paralled edges are edges that connecting the same pair of vertices. In this research we will discuss the formula to count the number of connected vertex labeled order six graph containing at most thirty edges and may contain fifteen parallel edges without loops.
Modeling Autoregressive Integrated Moving Average (ARIMA) and Forecasting of PT Unilever Indonesia Tbk Share Prices During the COVID-19 Pandemic Period
Authors: Putri R N , Usman M , Warsono  , Widiarti  , Virginia E 
Published: January 2021

Abstract
ARIMA method is one method that can be used in predicting the movement of company shares. This study aims to obtain a time series model with the ARIMA method and predict stock price data of PT Unilever Indonesia Tbk from January 2020 to June 2020. The best model that fits the data based on the MSE value is the ARIMA(1,1,1) model. The ARIMA model (1,1,1) shows a match between real data and the predicted value. This model is then used for forecasting the next 14 days. Data on UNVR stock price from January 2020 to June 2020 are below 8000, this seems to correlate with the current conditions, namely the Covid-19 pandemic. Forecasting for the next 14 days (two weeks) from July 1, 2020 to July 14, 2020, the forecast values have a trend decrease, the trend of PT. Unilever Indonesia Tbk has been going down since January 2020. This seems to have occurred as an implication of the Covid-19 pandemic from January 2020 to the present.
Web GIS based assessment using SAW methods to identify high risk areas of tuberculosis transmission and incidence in Bandar Lampung City
Authors: Hijriani A , Cahyani A 
Published: January 2021

Abstract
Tuberculosis (TB) is still a major problem in the public health sector, even in 2016 Indonesia was included in the five countries with the highest TB case burden in the world. In 2017, the number of TB cases in Lampung Province was 7,040 cases and one of the obstacles faced was the tendency for TB sufferers to be difficult to open so that many cases were not detected. Based on these facts, a Geographical Information System (GIS) is proposed which can process data into maps to see high risk areas where TB disease was found in Bandar Lampung. It will make it easier for health agencies to make policies in handling or preventing TB disease in Bandar Lampung. In this study, a decision-making system with Simple Additive Weighting (SAW) method was also proposed to produce a map of the area with the level of TB risk factors. The criteria used to summarize the weights are TB cases, population density, mortality, healthy and clean behavior, and health facilities. The result of data processing is presented in a color polygon map that has 4 levels of risk factors, namely very high, high, medium, and low.
Implementation of K-Means Algorithm for Clustering Corn Planting Feasibility Area in South Lampung Regency
Authors: Aldino A A , Darwis D , Prastowo A T , Sujana C 
Published: January 2021

Abstract
South Lampung is a regency with the capital of Kalianda which has an area of 2,007.01 km2 that dominates the agricultural area. Based on the data of corn crops in the South Lampung Regency Agriculture Office through BPS (Central Bureau of Statistics), showing several areas with corn crops that vary in number. Therefore, a grouping of potential corn-producing regions is required to know which areas produce large or small amounts of corn. The distribution of crops is usually done based on the name of the corn-producing sub-district. The K-Means clustering method is one of the data mining methods that is non-hierarchical clustering that groups data in the form of one or more clusters. Data that have the same characteristics are grouped in one cluster and the remaining is grouped into another cluster so that the data that is in one cluster has a small degree of variation. So the authors tried to apply the K-Means clustering method from the corn crop data of the last 2 years to produce feasibility information from each sub-district.
Comparison of Least Significant Bit, Pixel Value Differencing, and Modulus Function on Steganography to Measure Image Quality, Storage Capacity, and Robustness
Authors: Darwis D , Pamungkas N B , Wamiliana  
Published: January 2021

Abstract
Information security is an important aspect of information. The importance of the value of information in every aspect can result in attempts to transfer access or theft of data and information by unauthorized parties. One technique for securing data and information is by applying the digital image steganography technique. Many methods can be used in steganography, some of which are Least Significant Bit (LSB), Pixel Value Differencing (PVD), and Modulus Function (MF). Good steganography must produce a stego-image with an image quality that is not different from the original image or what is called a cover image and has the storage capacity to store confidential data and is resistant to robustness. The purpose of this study was to compare the LSB, MF, and PVD methods to serve as alternatives to the use of steganography techniques. The results of this study indicate that the LSB method has the best image quality compared to the MF and PVD methods. For storage capacity, the PVD algorithm has a better capacity than the LSB and MF methods. Meanwhile, the robustness of the LSB, PVD, and MF methods has resistance to cropping with a percentage of 10% at the bottom of the stego-image.
Implementation of Various Artificial Intelligence Approach for Prediction and Recommendation of Personality Disorder Patient
Authors: Sulistiani H , Muludi K , Syarif A 
Published: January 2021

Abstract
Personality disorder is known as chronic psychological disorders. It is a serious problem of the individual character and behavior that affect work, family and social life of a person. In many cases, the possibility of people do not realize that they have a personality disorder as a way of thinking and behaving seems natural to the patient, and the patient may blame others. To diagnose a personality disorder early, it is necessary to develop a system that is able to predict personality disorders and recommendation type of therapy patients should undergo. Artificial Intelligence is a technique that is very popular today. Various kinds of approaches and algorithms can be applied in the world of health, such as expert systems, neural networks and fuzzy logic. The aim of this study is to assess the artificial intelligence approach in predicting and recommending the type of therapy for patients with personality disorders.
Implementation of Fuzzy-based Model for Prediction of Prostate Cancer
Authors: Rusliyawati  , Muludi Kurnia , Syarif Admi , Wantoro Agus 
Published: January 2021

Abstract
Cancer is one of the leading causes of death worldwide. One type of cancer that causes death in the male population is prostate cancer. This disease occurs only in men because in women they do not have a prostate appearance. The aim of this study was to compare the accuracy of the model with the predictions of prostate cancer specialists. Prediction is made based on prostate specific antigen data, age, and patient prostate volume. The independent variables in this study were prostate specific antigen, age, and prostate volume. The dependent variable is the risk of prostate cancer using a fuzzy model. The novelty of this study is that the model has a low, moderate, high, and very high prostate cancer risk level output. In the previous article only PCR values were produced. The results show that the proposed fuzzy model provides a PCR value that is within the PCR interval predicted by a specialist doctor can be used properly to help diagnose and analyze the possibility of prostate cancer and is one of the considerations for doctors to decide whether or not a biopsy is needed for these patients.
Cytotoxic activity of methanol extraction of Avicennia marina and taurin in the HeLa cancer cells
Authors: Andriani S , Widiastuti E L , Nurcahyani N , rosa E , Busman H 
Published: January 2021

Abstract
The aim of study was to determine any anticancer potential from Avicennia marina leaf extract compare to taurine on cytotoxic and anti-proliferation activities against HeLa cervical cancer cell line by using the MTT method (3-(4, 5-dimethylthiazol-2-yl))-2, 5-diphenyltetrazolium bromide). The results indicated that methanol extraction of A. marina leaf as well as taurine did have cytotoxic and anti-proliferation effects on HeLa cell line with IC50 values of 321 ppm and 603 ppm 1000 ppm. While the doubling time value for anti-proliferation of A. marina leaf methanol extraction and taurine showed higher values than the control group (72.19 hours).
Inhibitory Study Of Cassava Leather Ethanol Extract As Natural Antimicrobial In Reducing Salmonella Sp. And Escherichia Coli On Contamination Chicken Meat (Gallus Domesticus)
Authors: Sartika D , Astuti S , Iswandari R 
Published: January 2021

Abstract
Chicken meat is a food product that is damaged easily and it’s a good medium for microbial growth. Therefore, it is needed a way to reduce the contamination of microbial pathogens. Cassava leather is a byproduct that contains an active compounds and it has a natural antimicrobial function to reduce pathogenic microbe contaminant. This study to determine the presence of natural antimicrobial activity against Escherichia coli and Salmonella sp. in chicken meat. The research was conducted using single factor with 7 treatment in Completely Randomized Block Design as many as 5 replications. Seven treatments of this research one positive control treatment (amoxicillin), and one treatment as control (96% ethanol). The results is cassava ethanol extract able to inhibit of Escherichia coli with the inhibitory diameter of 10.08 mm and Salmonella sp. with an inhibitory diameter diameter of 9.17 mm at a concentration extract of 100%, by extract concentrations of 80%, 60%, 40%, and 20%, with each inhibitory diameter 8.98 mm, 8.67 mm, 8.62 mm, 8.45 mm against Escherichia coli and 8.58 mm, 8.22 mm, 7.73 mm, 7.56 mm against Salmonella sp. The best concentration of cassava ethanol extract as a natural antimicrobial in chicken meat was 100% with total decrease to Escherichia coli 5.8 × 107cfu / g (69.05%) and total decrease of Salmonella sp by 4.0 × 107 cfu / g (41.17%).
The Potential of Temephos as Larvacide for Malaria Vector Control in Katibung Subdistrict, South Lampung
Authors: Setyaningrum E , Santoso B , Rouf A , Suryaningkunti J A 
Published: January 2021

Abstract
Lampung is one of provinces in Indonesia which still has malaria endemic areas in several subdistricts, including South Lampung District. In this subdistrict, the API recorded 0,212 in 2018 while in 2019 it decreased to 0,103. However, the potential of transmission still occurs due to the presence of extensive lagoons, swamps and puddle along the coast which support the proliferation of malaria vector in that area, one of which is Rangai Tri Tunggal Village, Katibung Subdistrict South Lampung. The purpose of this research is to find out the potential of temephos as a larvacide towards Anopheles sp. Mosquito larvae in Rangai Tri Tunggal Village, Katibung Subdistrict South Lampung District. The research used a quasi-experimental design by giving 1g/10 L of temephos to Anopheles sp. larvae at 10 breeding points of Anopheles sp. in Rangai Tri Tunggal Village, Katibung Subdistrict South Lampung started from August to September 2019. Larva density observations were carried out before and after the administration of temephos (day 21). The data analysis was administrated by using paired T-test. The result of the research showed that there is a significant difference (P<0,01) in the density of larvae before (23,8 heads/scoop) and after giving temephos (2,5 heads/scoop). The temperature at the sampling location ranged about 26-28°C with salinity 20 ppt, the types of aquatic plants are kale, mangroves, and water hyacinths and types of aquatic animals are fish, dragonflies and small snails. The conclusion is that temephos is worth to be considered as a larvacide for malaria vector control at Katibung Subdistrict South Lampung.
Identification of Virus Infection on Native Orchids in Liwa Botanical Garden
Authors: Mahfut  , Shafira H , Wahyuningsih S , Handayani T T , Sukimin  
Published: January 2021

Abstract
Liwa Botanical Garden is one of the regional botanical gardens in Indonesia with the theme “Indonesian Ornamental Plants”. At the present, disease infections are still a major obstacle in efforts to preserve and develop the potential natural orchids. Based on previous research, it is known that some individual orchids exhibit symptoms of viral disease infections, namely mosaic, chlorotic, streak, and necrosis. This research was conducted to determine the identification of against virus infections in Liwa Botanical Garden through a collection of samples that showed symptoms of infection, analysis of disease symptoms, and analysis of the level of disease resistance. The results showed the response of native orchids in Liwa Botanical Garden to viral infections showed symptoms in the form of necrotic black and chlorotic patches, yellowing leaves on orchids Coelogyne sp., Flickingeria sp., Calanthe sp., Trixspermum centipeda, Bulbophyllum sp. The type of orchid that shows the most symptoms is Flickingeria sp. a total of 8 samples. The type of natural orchid in the Liwa Botanical Garden which is most vulnerable to being infected with a virus is Flickingeria sp. with a disease intensity of 42%, while the type of orchid most infected virus is Coelogyne sp. with an intensity of 15%. The results of this activity are expected to be basic information in efforts to protect plants against diseases to support the application of conservation of natural orchids in the Liwa Botanical Garden.
Application of Xylanolitic Fungi Inoculum of Aspergillus Tubingensis R. Mossery in Bamboo (Bambusa Sp.) Litter Composting
Authors: Irawan B , Putri L F , Farisi S , Suratman  
Published: January 2021

Abstract
Bamboo is a plant that is easily found in various regions in Indonesia. Bamboo leaves are abundant and usually difficult to decompose naturally, so they are usually only burned. In fact, bamboo leaves can be a good source of organic material if processed properly. One way that can be used to overcome these problems is composting. The purpose of this study was to determine the effect of Aspergillus tubingensis (xylanolytic Fungi) inoculum with corn medium on the bamboo litter composting process. This research was conducted in a Completely Randomized Design (CRD) with 4 treatments consisting of Control (bamboo litter only), T1 (bamboo litter + 1% inoculum), T2 (bamboo litter + 1.5% inoculum), and T3 (bamboo litter + 2% inoculum) with 3 replications in each treatment. Chemical analysis is carried out at the 4th, 8th, and 12th weeks of composting. The result indicates that application of xylanolytic fungi inoculum of A. tubingensis gives dynamic results to C, N, P, and C / N ratio of bamboo litter compost during weeks 4, 8 and 12.
Nonrelativistic one-hadron-exchange k−p interaction model
Authors: Fadhlurahman H , Salam A , Fachruddin I 
Published: January 2021

Abstract
We have derived a nonrelativistic K−p interaction model as one-hadron-exchanges. The exchanged particles are the scalar meson σ, the vector mesons ω, ρ, the hyperons Λ, Σ, and the resonances Λ* (1600), Σ*(1385). Parameters in this model are determined by fitting to experimental data of spin-averaged differential cross section for kaon laboratory energy range of 51.27 MeV up to 900.64 MeV. The K-p scattering is calculated using a 3D technique without partial wave expansion.
Design of modulated infrared laser as a radiation source of portable photoacoustic spectroscopy
Authors: Apriyanto D K , Pauzi G A , Ayu H R 
Published: January 2021

Abstract
Photoacoustic spectroscopy can appl in various fields including in the fields of biology (measuring trachea volume and observing insect breathing patterns), medicine (a measurement of internal disease biomarkers through respiratory gases), environment (measuring NO2 gas in the environment near roads), and agriculture (measurement ethylene gas in postharvest fruit). The existing photoacoustic spectroscopy still has a large size and high operating costs, so it is necessary to design photoacoustic spectroscopy that is portable and low operating costs. In this research, designing an infrared diode laser that can be modulated using software using Visual Studio. There are two tests to see the characteristics of the devices made in this study, namely Arduino testing and testing of the software programs created. Arduino testing resulted in a calibration factor of fo
= 0.9068fi
+ 109.33. Meanwhile, software testing resulted in a calibration factor of fo
= 0.7343fi
+ 462.74. The two tests that have been carried out have different output results. The software output that is created has a smaller calibration factor than the direct output of the Arduino program.