bluuebunny/crossref_metadata_2025_split huggingface dataset:
Designing Souvenir Products Berastagi Clothes with Kansei Engineering Method
Authors: Sembiring N , Febrilliandika B , Oktaviani H , Siregar L S , Azmi N N 
Published: April 2021

Abstract
Consumer desire is something that is very vital to be criticized in product design. Clothing products are also known as the time changing industry, which is an industry that must continue to innovate to meet consumer desires. Berastagi clothing products are one of the typical souvenirs of the Berastagi tourism area. Based on a preliminary survey conducted on 84 tourists, 70.24 percent stated that the dress design was not attractive. As many as 70 percent of the tourists state that the design of these clothes is outdated. Therefore it is necessary to design new clothes designs. The method used in this study is kansei engineering to identify the kansei, items, and product categories that are consumer’s preferences. In this study, four questionnaires were used. The first questionnaire is an open questionnaire that is used to analyze the product word kansei. The results are obtained in the form of nineteen kansei words which will be used as input to the second questionnaire. Each kansei word was assessed by the respondent using a semantic differential scale. The results of the data adequacy test for the second questionnaire obtained N ‘value of 91 while the number of samples was 93 so that the data was sufficient. The results of the validity test state that all kansei words are valid. The reliability test yields a value of 0.907 or greater than 0.60 so that the data is considered reliable. MSA and KMO test results obtained all valid data. Questionnaire III was used to determine product stimulus. The results of the second questionnaire were analyzed for conjoint analysis in order to obtain 8 product stimuli. Questionnaire IV is used to find out the models used to fulfill each customer’s kansei words. In addition, an analysis of the main preferences of customers was also carried out. The final result is that the model with the highest utility which is the customer’s preference is clothing with cotton materials, ikat motif, cardigan models, white color, and long sleeves.
Breast Cancer Lesion Detection and Classification in mammograms using Deep Neural
Authors: Silalahi A R J 
Published: April 2021

Abstract
A method to automatically detect and classify a lesion into either malignant or non-malignant is presented in this work. The dataset used is obtained from INbreast database and are in format of full-field digital mammography (FFDM). Some of the key challenges in detecting cancerous lesion in mammography are the low contrast between cancerous lesion and its surrounding tissues, apparent contrast similarities between lesion and pectoral muscle, presence of calcifications that may disrupt the detection process, and some level of morphological similarities between the lesion and some normal tissues. The work here consists of two main parts. The first part is the image processing section that aims to sample the lesion with intended lesion-to-surrounding ratio (0.4-0.6) and to avoid sampling from unintended regions such as pectoral muscle. Another key challenge is that the database is relatively small while machine learning requires a relatively large dataset. To improve size of samples, eighty fixed-size images (250 pixels x 250 pixels) are randomly cropped out of each of the previously processed image. The second part is to build the machine learning application based on deep neural network framework to classify samples into two classes, malignant and non-malignant. In present work we apply two different frameworks known as Plain and Residual Net (ResNet). Our calculations show that both models can detect a single lesion with more than 90% accuracy and area under ROC curve >0.94.
Optimal Knots Point and Bandwidth Selection in Modeling Mixed Estimator Nonparametric Regression
Authors: Dani A T R , Ratnasari V , Budiantara I N 
Published: April 2021

Abstract
The nonparametric regression model that is currently developing is limited to only one estimator form that is used. This happens, due to the assumption from the researcher that each of these predictors has the same data pattern. However, when we model the predictor variable with the response variable, what happens is that each predictor may have a different pattern, so it is necessary to develop a mixed estimator. The mixed estimator used in this study is the truncated spline and the Gaussian Kernel. Furthermore, it becomes a separate problem, when combining the truncated spline with the Gaussian Kernel, so it must determine the optimal knot point and bandwidth. Determine the optimal knot point and bandwidth is very important. The methods used are Cross-Validation (CV), Generalized Cross-Validation (GCV), and Unbiased Risk (UBR). In this study, the nonparametric regression model was applied to the data on the percentage of poor people in Districts/Cities on Borneo Island in 2019. Based on analysis, the modeling of the nonparametric regression approach with a mixed estimator of the truncated spline and the Gaussian Kernel uses the GCV method which gives the best results. This is supported by the coefficient of determination obtained by 90.52% and the MSE value of 1.10. This means that the nonparametric regression model built can explain the effect of the predictor variable on the response variable, namely the percentage of poor people by 90.52%.
Determination of Aquifer Layer Using Geoelectric Resistivity Method in Lappae, Bone Regency, South Sulawesi, Indonesia
Authors: Massinai M A , Massinai M F I , Syamsuddin E , Baso AH , Cottang H 
Published: April 2021

Abstract
This research was carried out in Lappae, Bone Regency, an area that was supposedly having difficulty with water sources, remarkably in the dry season. This research aims to determine the water source location and the type of aquifer layer using the Geoelectric resistivity method with the Wenner-Schlumberger configuration. The results showed that the aquifer zone, which was thought to be a sandstone layer, was located at various depths ranging from 25-60 meters with a resistivity value of 25-150 Ωm. Meanwhile, bedrock layers are limestone with a resistivity value of 300 - 1200 Ω m. Based on the type of aquifer layer in the area, namely sandstone and limestone, the aquifer can be classified as a free aquifer because it only has a waterproof layer underneath
Automatic License Plate Recognition Using Optical Character Recognition
Authors: Salimah U , Maharani V , Nursyanti R 
Published: April 2021

Abstract
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

AbstractThe 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

AbstractHoshin 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.