bluuebunny/crossref_metadata_2025 huggingface dataset:
Automatic License Plate Recognition Using Optical Character Recognition
Authors: Salimah U , Maharani V , Nursyanti R
Published: April 2021

Automatic plate recognition is useful for everyday life, for example for law enforcement, traffic control, access to restricted areas, E-Tolls, or for checking in parking areas. The police number plate or TNKB is the main identity of a motorized vehicle that is roadworthy or operating on the highway. Thus, we can use the license plate to identify the vehicle owner. This study aims to recognize vehicle number plates using an Android smartphone. Using a camera on a handphone to scan the plate image, and it is processed to find out the vehicle owner’s information from the numbered plate being scanned. This study also uses Optical Character Recognition in processing images scanned by the camera where the steps taken are image acquisition, pre-processing, segmentation, normalization, feature extraction and recognition. The results show that the camera on an Android smartphone can be used to read and display information on number plate owners and also show that vehicle plate recognition using Optical Character Recognition based on the tests conducted shows the percentage of successful character recognition on motorized vehicle plates by 75% while the characters are equal to 97.36%.
Modeling with Mixed Kernel, Spline Truncated and Fourier Series on Human Development Index in East Java
Authors: Adrianingsih N Y , Budiantara I N , Purnomo J D T
Published: April 2021

The pattern of the relationship between the response variable and the unknown predictor can be determined using a nonparametric regression approach. Nonparametric regression allows it to be used for response variables following different curves between one variable and another. In this regression, there are several types of approaches including the kernel, spline, and Fourier series. In its use, there is not only one type of approach, but can be in the form of a mixture, such as a mixture of a spline and Fourier series, a kernel and a Fourier series, and so on. In this study, in modeling the HDI cases in East Java Province, nonparametric regression mixed kernels, Spline Truncated, and Fourier series were used. The results of research that have been applied to HDI in East Java with the predictor variables for APM SMA, Morbidity, and GRDP per Capita are using the mixed kernel, Spline Truncated, and Fourier series nonparametric regression approach with three-knot points and three oscillations. Good because the coefficient of determination of the estimator is 75.1041%.
Professional Engineering and World Class Perspectives of Industrial Engineering and Digital Transformation
Authors: Soebandrija K E N
Published: April 2021

This paper conveys the theoretical discourses of Industrial Engineering and Digital Transformation. It proposes perspectives of Professional Engineering and World Class’ Industrial implementation by combining Indonesian Local Wisdom and Global Benchmark Settings. The objective of this paper is to intertwine both theoretical and industrial implementation among Academician, Business and Government (ABG). Precisely, this harmonized industrial implementation is deemed indispensable by considering several pillars. First pillar constitutes the prior trigger of Industry 4.0 (IR 4.0), as one of Global Benchmark Settings. Subsequently, second pillar refers to the Indonesian Local Wisdom, in term of Making Indonesia 4.0 (MI 4.0). Ultimately, third pillars are pertaining global benchmark settings, in term of Industry X.0, Society 5.0, Hallyu 2.0. The research methodology in this paper refers to the quantitative method that enables the achievement of the objective of this paper. The discussion of this paper elaborates the methods and methodology to achieve the objective of this paper. Subsequently, the mentioned discussion proceeds to the necessity to have a holistic industrial implementation among ABG. The result of this paper is expected to equip current professional engineers and future generations. They are expected to be able to cope with new norm of new paradigm in the future.
Preparation of Polypropylene/PVDF Composite Membrane by Dip-Coating Method
Authors: Aryanti P T P , Trilaksono G , Hotmaida A , Afifah M A , Pratiwi F P , Udini N , Nugroho F A
Published: April 2021

In this research, a composite membrane was prepared by dipping a hollow fiber polypropylene (PP) membrane in a polyvinylidene fluoride (PVDF) solution. A small concentration of volatile solvent (acetone and tetrahydrofuran/THF) was added to the PVDF solution to form a tight structure in the membrane surface. The influence of PVDF concentration, type of volatile solvents (acetone and THF), and the dip-coating cycle on membrane characteristics, including porosity, swelling degree, and contact angle, were investigated. The flux and rejection of the membranes were also investigated during the filtration of hexane/oil solution. The experimental results showed that low membrane porosity (3%), low swelling degree (0.1%), and high water contact angle (140°) were obtained when 8%wt PVDF was blended with 10%wt acetone and then coated on PP hollow fiber membrane surface with 3 (three) dip-coating cycles. The oil rejection was 68% after 45 minutes of filtration time with a permeate flux of 20 L.m−2.h−1. Higher membrane porosity and permeate flux can be obtained by reducing the dip-coating cycle; however, a lower oil rejection was achieved.
Dominant Local Metric Dimension of Wheel Related Graphs
Authors: Umilasari R , Susilowati L , Slamin
Published: April 2021

Dominant local metric dimension is consist of two interesting topic in graph theory, they are dominating and metric dimension which be expanded as local metric dimension. A graph G is said having dominant local metric dimension if G be a connected graph and there is an ordered subset W

l
= {W
1, W
2 …, W

n
}⊆V(G) where W

l
is a local resolving set as well as a dominating set of G. Minimum cardinality of dominant local resolving set of G is called the dominant local basis of G. Then, cardinality of the dominant local basis of G is called the dominant local metric dimension of G which denoted by Ddim

l
(G). In this paper, we determine the dominant local metric dimension of wheel related graphs. That are Wheel, Jahangir, Friendship and Helm graph. Furthermore, we characterize the dominant local metric dimension of those graphs.
Implementation transmittal solutions at capital project to increase the effectiveness
Authors: Herdiansah A , Nurnaningsih D , Sugiyani Y , Handayani
Published: April 2021

The capital project is a construction project which has a large scale of documentation. Transmittal solutions as part of Enterprise Document Management Solution (EDMS) could be offered as the solution of document management inefficiency in the capital projects. EDMS processed the document content in a more detail way and had simple integration with another internal system. EDMS used for the implementation of the transmittal process during document distribution in every tier to improve the system performance to be faster based on the design configuration. This study focused on the implementation of transmittal solutions in capital projects.
Slaughterhouse Wastewater Treatment by Electrocoagulation Process
Authors: Nugroho F A , Arif A Z , Sabila G Z M , Aryanti P T P
Published: April 2021

Slaughterhouse wastewater contains a high concentration of colloids, organic compounds, and suspended solids, which cannot be directly discharged to the environment. In this research, the electrocoagulation process was used to treat slaughterhouse wastewater. The pH of the solution was neutralized by adding Ca(OH)2. The influence of current density (933 mA/dm2 and 1400 mA/dm2) and electrode configuration (3 anodes 3 (three) cathodes and 4 (four) anodes 2 (two) cathodes) was investigated. The experimental results showed that the treated wastewater at a current density of 1400 mA/dm2 produced a lower contaminant concentration than the current density of 933 mA/dm2. The current density of 1400 mA/dm2 and electrode configuration of 4 anodes-2 cathodes reduced BOD by 56.4%, TDS by 20.25%, and TSS by 99.47%.
Hoshin Kanri’s Strategic Planning Methodology through Dijkstra Algorithm within Industrial Engineering and Stakeholder Perspectives
Authors: Ho H C , Soebandrija K E N
Published: April 2021

Hoshin Kanri is defined as strategic planning methodology to reinforce strategic work. This paper elaborates Hoshin Kanri’s strategic planning methodology through Dijkstra algorithm within industrial Engineering and stakeholder perspectives. Dijkstra’s algorithm is categorized as the single source shortest path algorithm. This algorithm is beneficial to measure the shortest distance on a directed and undirected path within delivery optimization. This paper objective is to evaluate strategic planning in term of delivery optimization and scheduling. Subsequently, by implementing the strategic planning, it is expected to improve existing distribution process in supply chain. Other than that, it is expected to reduce and optimize delivery’s cost within its scheduling process through lens of industrial engineering and stakeholder priority. The research methodology in this paper refers to the quantitative approaches. These approaches are within sales performance’s data collection in modern market and its customer address. Furthermore, the data analysis proceeds to purchasing power of each customer. Ultimately, the mentioned analysis scheduling method through routing planning is using Dijkstra’s Algorithm. The mentioned Dijkstra Algorithm’s delivery optimization and scheduling is through lens of industrial engineering and Stakeholder. The result and discussion of this paper elaborates analysis and its decision making toward strategic planning in order to accommodate stakeholder perspectives.
Implementing Online Analytical Processing in Hotel Customer Relationship Management
Authors: Taufik M , Renaldi F , Umbara F R
Published: April 2021

Online Analytical Processing (OLAP) is increasingly being used by applying technology concepts that use a multidimensional view of grouping data to provide quick access to strategic information for analysis purposes. In the tourism industry, especially hospitality, this is very useful, especially in processing hotel operational data. Although OLAP technology has been widely applied in the hotel industry in reporting business sales, marketing, and reporting management analysis, there is still little research that discusses customer activity analysis. This study develops an OLAP-based analytical CRM system to analyze customer data and classify it into two main segments: geographically and demographically. Transactional data for hotels that have existed for the last three years are converted into a data warehouse, including the ETL process from the original database to a star schema database. It has a fact table and dimensions. Furthermore, OLAP cube operations are performed and generate customer reports. Testing in this study was carried out by calculating the total data’s access speed and accuracy from 100 to 5000 customers, and the estimated value was 45.50 to 80 milliseconds in 30 experiments. For further research, it can be developed by integrating data from the hotel transactional system so that the analytical process can run in real-time.
Industry X.0 and Strategic Ambidextrous Trilogy of Professional Engineering, Industrial Engineering and Business Engineering
Authors: Soebandrija K E N
Published: April 2021

Industry X.0 colligates agile, nimble and breakthrough smart technologies in digital transformation of industry era. In this paper, the mentioned Industry X.0 synergizes strategic ambidextrous trilogy of professional engineering, industrial engineering and business engineering. The objective of this paper is to enhance the theoretical perspectives within industrial and managerial implementation in Indonesia and Global Situation. The enhancement is intended to accelerate corporate operational efficiency and corporate wide growth. The research methodology in this paper refers to quantitative strategic ambidextrous approach that requires exploration and exploitation trilogy. This trilogy enhances every single advantage from unison of professional engineering, industrial engineering and business engineering. The result and discussion of this paper refers to 4 indispensable corporate transformations through both exploration and exploitation within unison of incremental and radical innovation, known as ambidexterity. Those 4 corporate transformations are characterized by the strategic ambidextrous trilogy toward: a. manufacturing and production; b. design and product engineering; c. innovation and growth; d. support and services. Ultimately both Industry X.0 and Strategic Ambidextrous Trilogy synergize into sustainable transformation to enhance theoretical perspective within industrial and managerial implementation through several benchmarks. Those benchmarks refer to Industry 4.0 (IR 4.0), Making Indonesia 4.0 (MI 4.0), Society 5.0, and Hallyu 2.0.
A Research to Design, Develop and Implementation of Android Application System for Waste Bank Sharia Community at Kampung Hijau Kemuning
Authors: Destriana R , Handayani N , Husain S M , Siswanto A T P
Published: April 2021

The problem of garbage is a behavioral problem, therefore the need for a change in public behavior to discipline throwing garbage in place, and the problem of garbage becomes one of the problems in major cities and other metropolitan cities, including in Tangerang area. Household waste is one type of garbage that can cause increasing problems facing the government in dealing with it. Kampung Hijau Kemuning is one of the residential settlements in Binong Village, Curug Sub-District that manages sharia-based waste banks aimed at encouraging environmental rescue to be green, clean, reduce waste and become an additional source of income for the residents of Kampung Hijau Kemuning. In the process of waste bank management requires the development of either the use of computer applications based on android or in the process of financial management that is clean and free from usury in accordance with islamic (sharia) rules. The purpose of this research is to build an Android-based Sharia Waste Bank application with a user-friendly view using the Waterfall method. The waterfall model provides a sequential or sequenced approach to software life flow. The results of this research will help the process of managing innovative waste bank activities and become input to increase the empowerment of micro-business communities in an activity, especially in Tangerang area.
Parameter Estimation and Hypothesis Testing of Geographically Weighted Bivariate Zero Inflated Poisson Inverse Gaussian Regression Models
Authors: Nur M S , Purhadi  , Choiruddin A
Published: April 2021

Count data is data that can be counted within a certain range of time. The count data itself can be accommodated in the Poisson distribution which is always positive value. Poisson regression is often used to model count data, but Poisson regression requires equality in means and variance (equidispersion). The count data often contains many zero values and is unable to meet the equidipersion assumption. Zero Inflated Poisson Inverse Gaussian Regression (ZIPIGR) is a mix poisson regression that can accommodate under/overdispersion and also the number of zero values in the data. ZIPIGR is global regression model, so the interpretation of the model obtained is global in all observational data. The ZIPIGR method that accommodate the location factor is the Geographically Weighted ZIPIGR (GWZIPIGR). Bivariate GWZIPIGR (GWBZIPIGR) can be used when there are two response variables that correlate each other. This paper will discuss parameter estimation of GWBZIPIGR using Maximum Likelihood Estimation (MLE) and numerical iteration of Berndt Hall Hall Hausman (BHHH) is used when the result of estimation equation does not close form, Meanwhile Maximum Likelihood Ratio Test (MLRT) is used to test the parameters where simultaneous hypothesis testing used the G2
test statistic at large sample with X2
distribution.
Vulnerability Analysis of Internet Devices from Indonesia Based on Exposure Data in Shodan
Authors: Novianto B , Suryanto Y , Ramli K
Published: April 2021

The growth of internet-enabled devices has increased interest in cybersecurity. In 2014, Project SHINE (SHodan INtelligence Extraction) published a report of large-scale security assessments for devices connected to the Internet. However, the number of IP addresses harvested from Indonesia in 2014 is very small. There were 7.182 IP address from Indonesia. It was about 0,0032% from the total 2.186.971 IP addresses. In this paper, we propose an initiative to gather all information for all Autonomous System Number (AS Number) from Indonesia in Shodan. We have gathered a dataset about all information of AS Numbers in Indonesia such as 12.787 unique ports, 79 unique operating systems, 409 unique products, 3.634 unique domains, 145.543 unique IP addresses, and 790 unique organizations. We use the K-Means algorithm to cluster all AS Numbers into several classes according to the exposure level in shodan. Based on the result, we have 4 classes of AS Numbers. There are 1.075 AS Numbers in class:0 (no information in Shodan yet), 614 AS Numbers in class:1 (exposure level = low), 9 AS Numbers in class:2 (exposure level = medium), and 1 AS Number in class:3 (exposure level = high). This information can be used to warn the organizations that manage AS Numbers in Indonesia to be aware of the security and the threats to their systems.
Build Website-Based Equipment Inventory Information System in Pesantren Al Ma’soem
Authors: Nurrohmah S F , Nugraha M F
Published: April 2021

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

SMK 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

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

This 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

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

This 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

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

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

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

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

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

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

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

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

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

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

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

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.
Study on mechanical properties of mortars containing steel shot and sea sand as fine aggregate replacement
Authors: Cabrera H , Daza C , Pacheco-Bustos C , Murillo M
Published: April 2021

In this study, the use of solid waste known in the metallurgical market as steel shot that is generated in the production of metallic elements has been analyzed. Normally the destination of this solid waste is the sanitary landfills of the cities or the security cells since it is classified as hazardous waste. In addition, the use of materials with high availability and that were not previously used in the construction industry, such as sea sand was used in the manufacture of mortar cubes as a fine aggregate. A granulometric analysis of each of the filling materials followed by the casting of 63 mortar cubes with four different fine aggregate replacement ratios (0%, 30%, 70% and 100%) were carried out. After the curing period, the compressive strength and the weight of the resulting mortars have been determined. The results from this study indicated that by completely replacing the fine aggregate with the steel shot waste the density and the compressive strength of the resulting mortars were increased, which indicates that this new material can be used in the construction industry.
ABC recombination model for quantum dot laser
Authors: Karomi Ivan B. , Zakar Ammar T. , Al-Ghamdi Mohammed S.
Published: April 2021

In this paper, we applied the ABC model in quantum dot (QD) semiconductor laser for the first time. We used a 1000μm cavity length InAsP/GaAs quantum dot laser emitting at 761nm, which was improved at Cardiff University. The ABC model is used to estimate the carrier losses that are caused by spontaneous emission and Auger recombination in semiconductor materials. It is shown that the ABC model is applicable in such lasers. The results show that the Shockley-Read-Hall (A) is 2.03 ×l09 sec−1. The radiative coefficient (B) is 2.28 ×l0−14 cm−3 .sec−1 and the Auger recombination (C) is around 8 ×l0−37 cm−6 .sec−1. The results are very close to the actual findings as measured by several different methods. Moreover, the measurement method is feasible, which can pave the path for the use of this procedure to determine the losses mechanism in semiconductor lasers.
Study on mechanical and wear properties of hypereutectic Al-18Si-3.6Cu-0.34Ce alloy
Authors: Gangal Krishnaraddi , Devendra K , Kaggalagowdra Chandrashakar
Published: April 2021

In the present study an effort was made to find the mechanical and wear properties of a heat treatable hyper eutectic aluminium-silicon alloy. The alloy was prepared by conventional casting method in the form of ingots, and then chemical compositions of the alloy analysis are made by spectro spark emission spectrometer. The as cast alloy test samples are T6 heat treated by solutionizing at 500°C for 1h followed by water quenching and isothermal ageing treatment at 210°C for different aging time was achieved. The tensile test was carried out for as cast and cast aged conditions of different aging time of 1h, 3h, 5h and 7h. It was observed from tensile test the ultimate tensile strength of 1h (193.83Mpa) and 3h (168.68Mpa) aged (T6 treated) samples improved the UTS by 22% and 7% respectively as compared to as cast sample (158Mpa). Dry sliding Wear test was conducted at constant sliding speed of 1m/s, 2m/s, 3m/s and 4m/s. with varying load 10-40N. From the dry sliding wear study confirmed that wear rate and coefficient of friction are load dominant, In spite at higher sliding speed and load lower friction was noticed.
Recycled PVC with chicken feathers as bio-load
Authors: Lakhdar Abdelghani , Moumen Aziz , Mansouri Khalifa
Published: April 2021

The poultry industry is responsible for a significant amount of waste. This bio-load is generally transformed into food with low nutritional value, or else incinerated. Not only are these options unsustainable, but it is also a missed opportunity to contribute to the circular economy. In this article, we try to contribute to the development of methods and strategies necessary to transform poultry feathers from waste for disposal into valuable raw materials. The chicken feathers are collected and washed several times, after drying in an oven, and finally crushed to obtain a flour which will be a bio-filler for the PVC used in this flexible article. Different percentages are used to find the one that most improves the mechanical characteristics of recycled PVC. The tensile test is carried out on test specimens made of recycled PVC without additives and recycled PVC reinforced with 5, 10 and 15% chicken feathers. It is deduced from the test results that the value of 10% was the most adequate to improve the mechanical characteristics of recycled PVC.
Towards the Numerical Implementation of Neural Network to Predict the Mechanical Characteristics of Bio Composites
Authors: Laabid Zineb , Moumen Aziz , Lakhdar Abdelghani , Mansouri Khalifa
Published: April 2021

Bio composites are a new category of materials using natural based components in their constituents. The study and simulation of the behavior of these innovative materials occupies an important place in the field of scientific research. Discovering and using new methods has always been the goal of researchers. In recent years, artificial intelligence has been very successful and is used in several fields. it represents a big part of today’s industrial revolution. Smart solutions are more and more favored over conventional solutions as they give more precise results in a short time. We can find them in different sectors, such as banking, commerce, transport and industry, especially in materials science.The intersection of the artificial intelligence with materials engineering, gives extraordinary results. This smart method was able to boost the discovery of new materials, and to solve the most complex problems encountered when determining the mechanical properties of bio composites. What characterizes theEco-composites is their light in weight, their sustainable development, and that they are environmentally friendly. However, the determination of their mechanical properties is not obvious. Certainly, solutions based on homogenization methods or even on the finite element method have given good results, but the complexity of the microstructure of these materials limits the determination of their characteristics. In our paper, we hilight the use of Deep Learning that is an artificial intelligence machine learning method that relies on neural networks to predict the mechanical behavior of a polypropylen bioloaded by the natural fibers.