bluuebunny/crossref_metadata_2025_split huggingface dataset:
Build Website-Based Equipment Inventory Information System in Pesantren Al Ma’soem
Authors: Nurrohmah S F , Nugraha M F 
Published: April 2021

Abstract
Pesantren Siswa Al Ma’soem (PSAM) is an educational institution that has more than 500 equipment’s used to support operational activities. But in the management of equipment inventory is still done semi-computerized, namely using Microsoft excel. Thus, causing problems such as officers’ difficulty in performing physical checks of equipment with existing data, difficulty knowing the information of equipment in the PSAM, limited working hours to access equipment information and allow data loss and duplication of data. The purpose of this research is to overcome problems arising from the current system. The purpose of this research is to facilitate officers in performing physical checks of equipment with existing data, make it easier to know the information of equipment located in branch offices, equipment information can be accessed without limited working hours during the internet network and minimize the occurrence of data loss and duplication of data. The analysis carried out in this study includes analysis of the current system and analysis of the proposed system. The system design used is by approaching the OOAD (Object Oriented Analysis and Design) method with the Unified Modeling Language (UML) language. The design of this information system is expected to facilitate officers in conducting equipment inventory, presenting necessary equipment information anywhere and anytime, and minimizing the occurrence of data loss and duplication of data.
Design of website-based library information systems at SMK Pasundan Jatinangor
Authors: Yani T I , Hamdani F 
Published: April 2021

AbstractSMK Pasundan Jatinangor is a private vocational high school located in Jatinangor District. Currently the system in effect in the place under study is semi-computerized based, when a book is borrowed in the library the data is inputted in Ms. Excel, as well as member data, book data, date of borrowing and date of return are inputted manually which resulted in the calculation of fines being calculated manually. So that some significant obstacles are found, including 1.can be lost because the book does not automatically update 2. When there is a loan, there is an error recording book data and member data 3.Lower handling of services in the library 4. A error in late fines for returning books 5. requires a long process of inputting books, members and borrowing. In this study, the authors use a system development tool using UML (Unified Modeling Language) which consists of: Use Case Diagrams, Activity Diagrams and Class Diagrams. With the design of this library information system, it is hoped that it can make it easier for officers / librarians to monitor the availability of books, add books, borrow and return books, so that they can assist in library services and management.
IoT based Two Levels Feeding System for Koi Fish Pond
Authors: Lekswina F , Widjaja D 
Published: April 2021

Abstract
Raising fish in a pond at home can be a hobby and add to the aesthetic value of the owner’s residence. Sometimes people doesn’t aware with the routine of feeding due to busy life that takes up a lot of time. The system that is designed in this work will help people who raise fish to monitor and control feeding activity and the number of pellets to be given remotely. The App Inventor is used to control and monitor an Internet of Things (IoT) based system. The system can display the pellets weight from the load cell sensor measurements on the container. The system is able to send notification if the feed weight is less than 300 grams. Users can choose four feeding settings, namely: S size, M size, L size, and customize. The servo motor will open the valve on the feeder and container containing pellets. The results of this work indicate that the two level feeding system for koi fish is working well. Sending and receiving data from and the webserver works well. The weight that is read by the load cell is displayed correctly.
Mixed Truncated Spline and Kernel Nonparametric Regression Model on Population Growth Rate in West Nusa Tenggara Province
Authors: Fitriyani N , Hadijati M , Harsyiah L , Sauri M S 
Published: April 2021

AbstractThis study was conducted by considering the data pattern that differs from each independent variable to the dependent variable. If only one estimator is used to estimate the nonparametric regression curve, the resulting estimator does not match the data pattern, less precise, and tends to produce large errors. Therefore, this study aimed to model the mixed truncated spline and kernel nonparametric regression on data and predict the population growth rate in West Nusa Tenggara Province by considering the Mean Absolute Percentage Error (MAPE). Based on the study conducted, relationships generated byx1,x2,x7,x8formed specific patterns and were indicated to follow the spline approach’s characteristics. In contrast, the pattern generated byx3,x4,x5,x6,x9showed the data distribution with no specific pattern and were addressed to follow the kernel approach’s characteristics. The best model was obtained with the optimal bandwidth for each variable and 3 points of optimal knots. The mixed truncated spline and kernel nonparametric regression model was suitable for modeling and predicting population growth rate data in West Nusa Tenggara Province with a relatively high proportion and a high degree of accuracy.
The Effect of Human Development Index on Poverty Model in Indonesia using Penalized Basis Spline Nonparametric Regression.
Authors: Hasanah N , Bahri S , Fitriyani N 
Published: April 2021

Abstract
Poverty is an issue of special concern to various countries in the world, including Indonesia. One factor that can affect poverty is the Human Development Index (HDI). The aim of this study is to model of the problem of poverty based on HDI. Using nonparametric spline regression was used with the penalized basis spline (PB-Spline) approach, which can overcome the problem of selecting many knot points and the location of knots in spline regression. This study was obtained three models, i.e. model with one knot point, model with two knot points, and model with three knot points. Based on indicators of the value of Generalized Cross Validation (GCV) and the value of Mean Square Error (MSE), the best model was a model with three knots, with smoothing parameter value of 1000, 11.26236 value of GCV and 11.08420 value of MSE.
Intervention Model of IDX Finance Stock for the Period May 2010 - May 2020 Due to the Effects of the Corona Virus
Authors: Utami R , Hadijati M , Wardhana I G A W 
Published: April 2021

AbstractThis study aim to model IDX Finance data that was intervened by the corona virus. With the increasing spread of the corona virus, the consequence is that it is necessary to anticipate to prevent further losses. To model time series data that is intervened by an event, it is necessary to carry out intervention analysis to describe the changes that have occurred in the data and forecasting can be done for some future data. By looking at changes in patterns in IDX Finance data since January 2020 which are immediately felt and are prolonged in nature, it can be concluded that IDX Finance’s stock closing price data has a permanent abrupt response pattern and intervention order b = 0, s = 0, r = 0. However, the final model that is produced does not have significant parameters that are generated by the maximum likelihood estimation method. Because there are several possibilities that the data does not contain intervention or data is used too little to identify the order of intervention.
Grain Shape Analysis of the Volcanic Ash Particle from Soputan Volcano to Investigate Eruption Type
Authors: Tampenawas D , Bobanto M , Pandara D , Ferdy  , Pasau G , GAbidjulu  , Kaendung V 
Published: April 2021

Abstract
Volcanic ash showcases a diverse spectrum of shapes, each with different physical properties and behaviours.Those properties and behaviours are often linked with fragmentation process of the magma inside the volcano. Analyzing the shape of a volcanic ash can give us valuable information behind the magma formation and the eruption style of a volcano. This research are conducted in hope to find implication between volcanic ash grain size and the eruption style of Mount Soputan. Sample from Soputan volcano eruption are choosed because of the danger the mountain holds to the populated area that surrounds it. Samples from three different eruption date are collected and being examined by ImageJ to determine the shape parameters needed in order to find the eruption type. Manual observation are also conducted to support the result from software analysis.
Modeling Spatial Variation of Money Laundering Crime in Indonesia Using Geographically Weighted Multinomial Logistic Regression
Authors: Yulia A , Astutikand U Sa’adah S 
Published: April 2021

Abstract
This document presents the mapping of crime in Indonesia. Crime is a real threat that needs to be optimally handled which increases significantly and it is very detrimental to the country’s economy. The crime that occurred created another more serious crime, namely Money Laundering Crime. The impact of Money Laundering Crime is the flow of illicit fund through the payment system to financial service providers as well as providers of goods and services. The perpetrator of Money Laundering crime is a player who is shrewd and familiar with the state financial system, so that the flow of funds does not involve a region but will expand to other areas in a country. This study analyses the spatial variations in the factors causing the Money Laundering crime in Indonesia by using a Geographically Weighted Multinomial Logistic Regression (GWMLR) technique. In this document, the GWMLR method is used to model the Money Laundering Crime and its explanatory variables by considering the effect of geographic location using the Adaptive Kernel weighting function. The response variables were divided into four categories with nominal scales by combining the general criminal case and money laundering crime.
COVID-19 Mathematical Epidemic Model for Impact Analysis of Large Scale Social Restriction: The Case Study of Indonesia
Authors: Rifanti U M , Dewi A R , Nurlaili  , Hapsari S T 
Published: April 2021

Abstract
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2. There have been 218,382 confirmed cases of COVID-19, including 8,723 deaths in Indonesia till September 15, 2020. To fight Covid-19, the Indonesian Government modified the lockdown policy to become a large-scale social restriction (LSSR) according to the pandemic level in each region. The LSSR was implemented in DKI Jakarta on April 10, 2020, the epicenter of the Covid-19 outbreak in Indonesia. In this article, we propose the Susceptible-Infected-Hospitalized-Recovered (SIHR) epidemic model for impact analysis of LSSR on epidemic conditions and predict the long-term dynamic COVID-19 in Indonesia. This study extends the SIR model by adding a hospitalized compartment. Finally, we analyze the results of our mathematical model, estimate the model of essential parameters, and predict the disease by considering the real Indonesian cases from March 2 to September 6, 2020. Based on the result, LSSR has a good enough impact on solving the pandemic in Indonesia. One of the factors is because there is a significant difference in transmission rate (β) values. The new normal transmission rate is 75% higher than the LSSR’s.
Empirical Attenuation Model for Predicting Peak Ground Acceleration in North Arm Sulawesi, Indonesia
Authors: Pasau G , Tamuntuan G H , Tanauma A , Pandara D P , Ferdy F , As’ari A , Maramis C 
Published: April 2021

Abstract
The North Arm of Sulawesi is one of the areas that has very active tectonic conditions. The earthquake source in this area comes from the activity of several tectonic plates such as the North Sulawesi Subduction, the Molluca Sea Collision, the Philippine Sea Plate, the Pacific Plate and several local faults such as the Palu Koro Fault, Gorontalo Fault, Bolmong Fault and Manado Fault. The purpose of this study was to determine the peak ground acceleration value using several empirical attenuation models such as the Fukushima-Tanaka, Donovan, McGuire, Campbell, and Crouse. The peak ground acceleration is the value of the greatest acceleration a place has ever occurred which describes the strength of the tremor or shock of an earthquake. Geographically, this research area is located at 1180E to 1270E and 0.50S to 40N. The data used are data from the ISC-EHB and USGS catalog during the observation interval 1964-2020. Data processing includes the uniformity of the magnitude scale into the Surface Magnitude (Ms) scale, determining the main shock, sorting earthquake data with a magnitude greater than M6.0 and a depth of less than 100 km, creating a grid measuring 0.05 x 0.05 degree. Next step, determine the peak ground acceleration using an empirical attenuation relationships. The analysis results show that the peak ground acceleration in the North Arm Sulawesi is as follows: McGuire Method 0.4295g, Fukushima-Tanaka 0.3595g method, Crouse method 0.314g, Donovan method 0.3149g, and Campbell method 0.2550g.
Utilization of Virgin Coconut Oil that has been Extracted in Phenolic Compounds as Resource of Diethanolamide
Authors: Mandei J H , Assah Y F , Edam M , Kumolontang N P 
Published: April 2021

Abstract
One of the vegetable oils that can be used as a surfactant is extracts of phenolic compounds from virgin coconut oil (VCO) or VCO residue.The purpose of this study was to make surfactants from VCO residue and to obtain the correct ratio of reactants and the appropriate concentration of NaOH catalyst to produce diethanolamide surfactant.The materials used are methyl ester from VCO residue and dietanolamine with NaOH catalyst. The amidation process uses a mole ratio of dietanolamine and methyl ester (1:1, 1.25: 1, 1.5: 1, 1.75: 1 and 2: 1) at a temperature of 160 ° C for 3 hours, and a NaOH catalyst with a concentration of 0.25, 0.5, and 0.75%.The results showed that the treatment of the ratio of methyl ester and diethanolamine and the concentration of NaOH catalyst produced DEA surfactant with the same consistency, namely a semi-solid viscous liquid with a clear yellow color.The higher the concentration of catalyst, the yield tends to increase.. All DEA surfactant products have a pH of 10, with viscosities ranging from 252.47 - 509.89 cP, soaping numbers ranging from 35.22 - 52.95 mg KOH / g, and glycerol levels from 0.08 to 29%.
Molecular Docking Studies of (2E)-1(1-Methyl-1H-Indol-3-yl)-3-Phenyl-Prop-2-en-one) as Antimalarial and Its Synthesis using Dimethylsulfate
Authors: Mustikasari K , Harap J E , Susilo T B 
Published: April 2021

Abstract
Malaria is a disease with high prevalence in tropical and subtropical areas. The case of parasite resistance to proguanil, an antimalarial drug, has prompted the discovery of new drug candidates through molecular docking studies. In this study, we used the derivative of chalcone (2E)-1-(1-methyl-1H-indol-3-yl)-3-phenyl-prop-2-en-1-one as a test ligand and some comparison ligands to see its interaction with Plasmodium falciparum dihydrofolate reductase - thymidylate synthase (PfDHFR-TS) enzyme. Furthermore, the compound (2E)-1-(1-methyl-1H-indol-3-yl)-3-phenyl prop-2-en-1-one was synthesized by reacting (2E)-1-(1H-indol-3-yl)-3-phenyl prop-2-en-1-one and dimethyl sulfate through an N-alkylation reaction. The (2E)-1-(1-methyl-1H-indol-3-yl)-3-phenyl-prop-2-en-1-one has the higher ΔG
bind (-7.53 kcal/mole) than native ligan WR99210(-8.83 kcal/mole), but has the lower than proguanil (-6.75 kcal/mole) and (E)-3-(3,4-dimethoxy phenyl)-1-(2-hydroxy-4-methoxy-5-(prenyl)phenyl)-prop-2-en-1-one (-7.29 kcal/mole). However, there was only pi interaction of amino acid residue of the PfDHFR-TS ligand complexes (PHE58, ILE112, LEU119, ALA16, ILE14), in contrast to the WR99210 and proguanil complexes. This is similar to the interaction of the (E)-3-(3,4-dimethoxyphenyl)-1-(2-hydroxy-4-methoxy-5-(prenyl)phenyl)-prop-2-en-1-one-PfDHFR-TS complex which is active as an antimalarial in vitro, so that the test ligand still has a chance to be used as an antimalarial candidate. The compound (2E)-1-(1-methyl-1H-indol-3-yl)-3-phenyl prop-2-en-1-one was successfully synthesized with 41.55% yield.
The Effectiveness of the Absorption of CO, CH4, CO2, H2S and Pb Gasess by a Mixture of Sansiviera and Coffee Powder
Authors: Oviantari M V , Gunamantha I M , Deviana Pratiwi I A P A 
Published: April 2021

Abstract
This study aims to analyze the effectiveness of the absorption of CO, CH4, CO2, H2S and Pb Gasses by a mixture of Sansiviera and Coffe Powder. Gas measurements were carried out using a Multitec 250 gas detector, while Pb levels were analyzed using AAS. The results showed that the mixture of Sansevieria and coffee powder effectively absorbed CH4, CO2, H2S and Pb gases with the highest effectiveness, respectively 87.5%, 71.06%, 55.5% and 59% with the composition of sansiviera: coffee in the sample respectively 50:50; 50: 0; 30:20; 40:10. Meanwhile, the mixture of sansiviera and coffee was slightly effective in absorbing CO gas with the highest effectiveness of 15.65% at the composition of 50: 0.
Synthesis of Chitosan-Alginate Beads and Its Application for Alkyl Benzene Sulfonates (ABS) Adsorption
Authors: Ayuni N P S , Sukarta I N , Wulandari P A 
Published: April 2021

Abstract
ABS is the largest group of anionic surfactants. Anionic surfactants (AS), especially ABS are used extensively due to their impacts on ecosystems and are usually disposed of after their usein the environment. Therefore, they represent one of the main causes of water pollution. Methods have been proposed to remove surfactants such as adsorption with beads. This study aims to analyze the results of the synthesis and characterization of chitosan-alginate beads and determine the efficiency adsorption of ABS. The synthesized beads were characterized by swelling tests. To find out the maximum efficiency of ABS, ABS adsorption with chitosan-alginate beads was carried out by varying pH (5, 6, 7, 8, and 9), time (15, 30, 45, 60, 75, and 90 minutes) and ABS concentration (10, 20, 30, 40, and 50 mg/L). The results of the adsorption solution were measured by a UV-Vis spectrophotometer.Theresults of theswelling test onbeadsfor 24 hoursreachedanaverage of 148.18%.The maximum efficiency adsorption of chitosan alginate beads was determined to be 46.46% with an initial ABS concentration of 30 mg/L at pH 6 in 60 minutes.
Citrus Farmers Institutional Support on Technology Adoption of Integrated Management of Healthy Citrus Orchard in Garut Regency
Authors: Indrasti R , Rawung J B M , Roufiq N , Sudolar N R 
Published: April 2021

Abstract
The study was aimed to identify factors that influence institutional success, to analyze the potential of farmers institutional, and to identify the dissemination level of Integrated Management of Healthy Citrus Orchard (IMHCO). The data were obtained by interviewing 25 citrus farmers in Garut Regency which randomly selected as respondents in 2017. The data taken were primary and secondary data. The data were complemented with the information on the institutional role of farmers and the role of IMHCO. The data were analyzed descriptively and non-parametrically. The results showed that the farmers institutional were considered very important but their human resources (farmers, farmer group and Extension) have not focused on this sustainability. Institutional aspects that required to be considered and implemented were input, production and marketing. The role of IMHCO was very relevant to increase citrus production, but the support of human resources was unreliable. Therefore, it is required a strategy to improve the adoption level of IMHCO technology in Garut Regency.
Penalized Logistic Regression Model to Predict a Results of RT-PCR by Using Blood Laboratory Test
Authors: Dwinata A , Notodiputro K A , Sartono B 
Published: April 2021

Abstract
Statistical modelling to determine the effect of several predictor variables on the binary response variable is known as multiple logistic regression model. The addition of a penalty function to the model is done to improve prediction accuracy. Penalized logistic regression shrinks the regression coefficient to zero. This penalized logistic regression model will be used to predict a result of RT-PCR by using the features of blood laboratory tests. This research uses LASSO and elastic net penalties function. This study aims to determine the prediction performance of the RT-PCR test using logistic regression with LASSO and elastic net penalties. The data from the RT-PCR test were used as the binary response variable. Patient age quantile and 27 features of laboratory blood test were used as predictor variables. The results of this research showed that prediction performance of a RT-PCR test using LASSO logistic regression was better than elastic net logistic regression. The LASSO logistic regression model had a good performance for predicting the RT-PCR test with 88% accuracy and 93% AUC. Based on the result of LASSO logistic regression model, the features of laboratory blood tests that affect a RT-PCR test were leukocytes, basophils, RDW and C-reactive protein.
A study on group lasso for grouped variable selection in regression model
Authors: Sunandi E , Notodoputro K A , Sartono B 
Published: April 2021

Abstract
Estimation of regression parameters using the Least Squares (LS) method could not be performed when the number of explanatory variables exceeds the number of observations. An approach that can solve the problem is the LASSO (Least Absolute Shrinkage and Selection Operator) method. This method produces a stable model but with slight bias as the trade-off. Yuan and Lin [6] introduced the Group LASSO method which can be used when there are grouped structure in the variables. This current paper provided a study of the performance of the Group LASSO method through a simulation with several different scenarios. Furthermore, the Group LASSO method was applied to the Human Development Index (HDI) data of Bengkulu Province in 2019. The simulation yieled that the Group LASSO analysis was better than LASSO in term of its Mean Squared Error of Prediction (MSEP), False Negative Rate (FNR) and R-Squared. In the application of the approach to the HDI data, our result was in line with the simulation results that the analysis of Group LASSO was better than LASSO with MSEP Group LASSO of 0.25 and R-Squared of 98%.
Comparative analysis of the compressive strength of concrete under different curing methods
Authors: Murillo M , Abudinen D , Río M del , Serrato N , Patrón L , Ramírez J 
Published: April 2021

Abstract
Concrete is the most widely used material in construction, which possesses different characteristics and possible manufacturing methods. Concrete is, also, characterized by its high resistance to compression and durability, factors that could have been directly influenced by the curing method in early ages. The objective of this research is to demonstrate the importance of the concrete curing process, as well as to analyze the influence of the chosen curing method on the compression resistance. 48 concrete test samples were manufactured, by the standard requirements. Subsequently, the samples were divided into eight batches, subjected to different types of curing: immersion curing, twice a day; outdoor curing; total immersion curing in different waters, application of commercial curing agent; with polyethylene foil coating and without curing. Performing compression testing at 7 and 28 days. Among the results obtained, the batch that underwent the method of curing with polyethylene coating presented a more efficient effect in terms of resistance to compression; followed by the techniques of immersion in water.