bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decision support system for selection technique using MOORA method
Authors: Siregar Victor Marudut Mulia , Tampubolon Mega Romauly , Parapat Eka Pratiwi Septania , Malau Eve Ida , Hutagalung Debora Silvia 
Published: February 2021

Abstract
This study aims to solve the problem of selecting the best students as recipients of the Academic Achievement Improvement scholarship at Sekolah Tinggi Akuntansi dan Manajemen Indonesia (STAMI). The scholarship data processing process carried out by STAMI is currently still using a manual process and only uses the GPA criteria only in determining scholarship recipients. This problem is resolved using a Decision Support System with the Multi-Objective Optimization based on Ratio Analysis (MOORA) method. The criteria used in this Decision Support System consist of: parents’ income, parents’ dependents, semester, and GPA. Alternative data used in this study consisted of 7 alternative STAMI students. The best ranking results from selecting the best students to obtain scholarships using the MOORA method are students with the STAMI_Student02 alternative with a ranking value of 0.2345.
Integration of GIS for Mapping Distributed Online Learning
Authors: Ohliati Jenny , Sukmandhani Arief Agus , Yossy Emny Harna 
Published: February 2021

Abstract
This study was carried out to overcome one of the main obstacles encountered, namely the lack of information on the location of student residences in private universities that provide online learning system. Quantum GIS can display the distribution of students in all regions of Indonesia. The method used in this study is the descriptive analysis method. The results of this study are presented in the form of a distribution map of online learning students across Indonesia, which shows information about student data based on a regional boundary map.
Data mining techniques with machine learning algorithm to predict patients of heart disease
Authors: Mulyawan  , Bahtiar Agus , Dwilestari Githera , Basysyar Fadhil Muhammad , Suarna Nana 
Published: February 2021

Abstract
Data mining is a way of searching for information from large amounts of data for the purposes of various applications. Several techniques in data mining can be used for association, classification, clustering, prediction, and sequential modeling. Machine learning is used in medical science to help medical teams find out the condition of patients with heart disease. A lot of machine learning still has limited predictive capabilities, and is incompatible. This study uses different machine learning techniques, namely PSO-based SVM, Neural Network, Decision Tree, Naïve Bayes and SVM to assist in building, understanding and interpreting different models of heart disease diagnosis. The use of the pso-based svm algorithm in the prediction of heart disease shows a 100% greatest accuracy than the Decision Tree, only 88.68% and Naïve Bayes of 82.15%, Neural Network with an accuracy of. 95.71%, SVM with an accuracy of 99.71%. The results of this study are expected to be beneficial for the world of health and for researchers who use machine learning techniques.
Genre e-sport gaming tournament classification using machine learning technique based on decision tree, Naïve Bayes, and random forest algorithm
Authors: Dikananda Arif Rinaldi , Ali Irfan , Fathurrohman  , Ade Rinaldi Rizki , Iin  
Published: February 2021

Abstract
The development of the game industry in this global era no longer presents entertaining games but also provides competitive games. With the recent competitive game, it can be categorized into a sport called e-Sport. Various game developers have also created e-Sport facilities and created a tournament to advance the industry. The increasing number of tournaments that are held in the field of sports from various types of games, it requires a classification for the types of games that are actively holding tournaments from the last few years. The classification used is Naive Bayes, decision tree and random forest algorithm. Naïve Bayes has become one of the algorithms for data. Naïve Bayes is a classification system based on the theorem of Bayes. Naïve Bayes is a classification system based on the theorem of Bayes. It’s also recognized that the Naïve Bayes Classifier is greater than certain other classification methods. As first, the main aspect of Naïve Bayes is a very good (naive) presumption of freedom from any situation or case. It’s also recognized that the Naïve Bayes Classifier is greater than certain other classification methods. As first, the main aspect of Naïve Bayes is a very good (naive) presumption of freedom from any situation or case. Decision trees are also well machine learning algorithms used to solve complex classification problems. Decision Tree is a classification method for data mining that aims to predict the behavior of the database. The result from this research is Random forest accuration 60%.
Competency test clustering through the application of Principal Component Analysis (PCA) and the K-Means algorithm
Authors: Dana Raditya Danar , Soilihudin Dodi , Silalahi Ryan Hamonangan , Kurnia D.A , Hayati Umi 
Published: February 2021

Abstract
The implementation of the Competency Test at the LSP institution in higher education is an effort to ensure that students have abilities in certain fields according to predetermined competency standards. Education providers are required to always strive to improve the quality and quality of education with the aim that the student’s academic performance will always improve. From the results of observations made in the research location, it was found a problem with the high number of failures in the implementation of the competency test. This study aims to conduct cluster analysis of the data from the implementation of competency tests using Machine Learning techniques through the application of Principal Component Analysis (PCA) and K-Means Algorithm, through several stages in the form of data collection, data cleaning, data transformation, data modeling and experimentation. This study resulted in grouping the results of competency tests which were divided into 3 clusters, namely cluster 1 as much as 38%, cluster 2 as much as 32% and cluster 3 as much as 30%.
Comparative study of tyre ash and palm kernel oil cake as back-filling agents for effective grounding
Authors: Kulor Frank , Dzah Christian , Markus Elisha D. , Apprey Michael W. , Kagbetor Patrick 
Published: February 2021

Abstract
A simple method for analyzing electrical earthing system is presented. The idea behind this research is to furnish the general public particularly in Ghana to understand the effectiveness of using low resistive materials to provide low resistance values for their earthing frameworks to protect lives and guarantee hardware security. Right now, proficiency of materials accessible for free, to be specific, Palm Kernel Oil Cake (PKOC) and Tyre ash, as conductive inlay material for decreasing earth terminal resistance was assessed. Earth mat 20-cm length and 10cm breath were covered with each refilling material with their exhibition contrasted with reference to the earth mat additionally covered at a similar location with raw sand, specifically, sandy gravel at a specific area in Ghana. The outcomes show that tyre ash gives a steady earth resistance in both dry and wet climate conditions and improves it significantly as compared to PKOC. The main purpose of evaluating these two local materials as a backfilling agent is to reduce the earth resistivity which in this study was achieved successfully after 3 months of monitoring.
Implementation of Traveling salesman problem Algorithm for Scheduling and Shortest Distance Optimization
Authors: Ginting Novita Br , Inawan Erik , Afrianto Yuggo , Muliawati Fithri 
Published: February 2021

Abstract
PD Mitra Makmur Perkasa is a company that distributes bottled drinking water. The decline in service levels in the timeliness of delivery is one of the problems experienced by the company. Based on the analysis conducted, the cause is due to irregular and unsystematic scheduling. To overcome this problem, we need a system that can manage systematic scheduling and provide optimal mileage recommendations to streamline delivery times and maximize the number of deliveries. These papers aim to build a web-based information system for scheduling the delivery of bottled drinking water using the waterfall system development method and the heuristic TSP (travelling salesman problem) method. TSP used to determine travel routes and produce recommendations for the shortest distance to be traversed and to maximize the amount of drinking water that can be delivered optimally. The results TSP method can be applied to a web-based scheduling information system for the delivery of bottled drinking water. It will have an impact on increasing service and maintaining, as well as increasing the number of customers. The resulting testing with the structural and functional BlackBox test results declared appropriate and functional.
Design and implementation of automatic autoclave temperature and pressure data recording system
Authors: Safitri Meilia , Pranaditya Afif , Handoko Brama , Anggoro Sotya 
Published: February 2021

Abstract
Sterilization data history is needed to maintain and examine an autoclave performance to minimize the risk of sterilization failure. This study aimed to develop a sterilization data recording system for an autoclave with external data storage using an SD card. The TFT LCD is used as the user interface to make it easier for users to monitor temperature and pressure during the sterilization process. The MAX 31865 temperature sensor and the MPX 5700 AP pressure sensor are used to monitor the temperature and pressure in real-time during the sterilization process. The entire sterilization process of the developed system is controlled using The ATMega 2560 microcontroller. Three testings have been carried out to determine the designed temperature, and the pressure data recording system has been a success, Temperature data recording, Pressure data recording, and Process data recording. Based on the conducting test results, the designed recording system gives an excellent performance to record the temperature, pressure level, and data sterilization process with a success rate of 100%.
The Effect of the use of Gypsum Waste as a Filler Substitution on Stone Matrix Asphalt Coarse
Authors: Alpius Kezia Sri Wahyuni Soean , Mangontan Robert 
Published: February 2021

Abstract
This research is intended to test the use of gypsum waste as a cement filler substitution in a mixture of coarse stone matrix asphalt (SMA). The methodology in this research is to conduct a series of tests for the characteristics of coarse, fine, and filler aggregates, then design the composition of the coarse Stone Matrix Asphalt (SMA) mixture as well as Marshall immersion testing to obtain the remaining Marshall Stability. The results of research conducted at the Road and Asphalt Laboratory of the Faculty of Engineering, Department of Civil, Indonesian Christian University, Paulus Makassar, through the Marshall immersion test obtained a mixture of rough Stone Matrix Asphalt (SMA) with the proportion of gypsum waste as cement filler substitution, namely 100%: 0%, 75%: 25%, 50%: 50%, 25%: 75%, 0%: 100% meets the requirements issued by the Directorate General of Highways of the Ministry of Public Works of the Republic of Indonesia, General Specifications 2018. Test results for Marshall Immersion mixture of Stone Matrix Asphalt (SMA) coarse in all proportions of gypsum waste to obtain Marshall Stability Time meet the limit requirements, namely ≥ 90% so that the mixture is resistant to immersion in water.
The effect of square submerged breakwater on wave transmission in the coastal area
Authors: Bungin Erni Rante 
Published: February 2021

Abstract
A transmission wave is a transmission wave that passes through an obstacle where its parameter can be expressed as the ratio of the transmitted wave height (Ht) to the incident wave height (Hi). Waves can occur due to wind, tides, artificial disturbances such as ship movements and earthquakes. To reduce wave energy coming from the high seas, a breakwater can be installed. The breakwater is a building that functions to break the waves of sea water, thereby reducing the energy in sea water waves. The aim of this research is to understand the wave transmission with an asymmetrical sinking structure with a square shape which is varied with respect to the length of the model. This research was conducted with a sinking square-shaped breakwater model. The results of this study indicate that the size of the transmission coefficient is influenced by the length of the model and the water depth of the sinking breakwater model. The longer the model arrangement installed, the greater the transmission coefficient, as if the water depth increases, the transmission coefficient will also increase.
Identification of Construction Failures Due to Landslide Using Resistivity Methods on Kayulangi - Tarengge Km 531 + 600 Road
Authors: Apriyani Ika , Salle Lasty Dinulfy Kaimuddin 
Published: February 2021

Abstract
Landslides are one of the natural indication of equilibrium their morphological forms, mass transfer in landslide countermeasures. Various research methods can be carried out both in general and detail. causes of landslides. The purpose of conducting the research is to identify the behavior of landslides in terms of soil / rock layers and groundwater availability with the aim of identifying potential indication of construction failure. Based on the results of the research, the landslide on the north side of KM 531 + 600 based on the results of the field identification shows that the landslide material is in the form of sandy clay with the type of landslide is creeping with a maximum landslide depth of 3m and a slope length of 30m. Recommended treatment is the construction of a retaining wall with a distance of at least 3m from the shoulder of the road combined with the arrangement of surface water flow drainage on slopes. The retaining wall is equipped with a pipe to drain groundwater with a pipe diameter of at least 2 inches and a maximum space between the pipes of 1m, and on the KM 531 + 600 drainage channel it is necessary to carry out construction rehabilitation and equipped with a sediment pond and channel construction designed to reduce flow speed Surface water.
Heart Rate Variability (HRV) during anger emotion stimulation: features for affective
Authors: Rumpa Lantana Dioren , Toding Apriana , Jefriyanto Wilson , Sapulette Rossa O. 
Published: February 2021

Abstract
Recent studies have revealed the relationship between human Emotion and health. Researchers are trying to find the best features to distinguish human Emotion through its psychophysiology signals in the Affective Computing study. Humans have six basic emotions, such as Anger, Sadness, Happy, Surprise, Fear, and Disgust. Emotions affect human ANS (Autonomous Nervous System). The heart is one of the human inner organs affected by the ANS (working under ANS). Heart rate is one of the Psychophysiological signals that changed depends on human Emotion. This study tried to analyze the difference between human heart rate during Anger and Normal Emotion Stimulation. Video Stimuli were used to Evoke Emotion. 15 Participant’s heartbeats were recorded using an ECG sensor from E-Health Sensor Platform v2.0. We used HRV (Heart Rate Variability) MeanRR feature as a comparison. Some studies said that experiencing long-term Anger Emotions can cause serious illness to the human body. There are some differences in the MeanRR feature between ANGER State and NORMAL State. The findings of this investigation complement those of earlier studies about HRVi. This research supports the idea that HRV can be used as a feature to detect human affect state.
Transportation model as distance measurement location from Perumnas Antang to Makassar City
Authors: Elizabeth  
Published: February 2021

Abstract
The generation of transportation for residents of Perumnas Antang to the market location occurs as a result of transportation actors carrying out movements or activities at the same time to the market location to meet their food and clothing needs. The purpose of this study is to analyze the characteristics of the transportation modes of the Perumnas Antang population to the market location and to model the movement of the Perumnas Antang population to the market location. This research was conducted at the location of Perumnas Antang on Street Antang Raya, Manggala Village, Manggala District, Makassar. The sample in this study was taken from the Perumnas Antang location. Data collection methods are carried out in interviews and questionnaires. The data were analyzed using multiple linear regression analysis methods. The results of this study indicate that the generation at Perumnas Antang to the market location is influenced by travel time, distance traveled, the mode used, age, and type of work.
The potential for flooding in Koro Bakara watershed area, East Luwu due to the land conversion
Authors: Fitrian Eltrit Bima , Boro Wona Grace 
Published: February 2021

Abstract
Changes in land use in protected forest areas to pepper plantations are one of the serious problems that occur around the Koro Bakara watershed in East Luwu. This study aims to determine (1) irregularities in land use in the Koro Bakara watershed at East Luwu, (2) The level of flood vulnerability in the Bakara East Luwu watershed as a result of land use mismatch. This research was carried out in the East Luwu Koro Bakara watershed area with a total watershed area of 14,010 ha, administratively located in the Sorowako area, Towuti District, East Luwu Regency. The method used was the SWAT Method (Soil and Water Assessment Tool) by using ArcSwat software. This research is included in non-experimental research, namely by using direct observation in the field. Input data in the SWAT Model are slopes, land cover, climate, and soil types. The research shows that the total area of forest area that is in accordance with the pattern of space is only 15.92% for protected forest areas and 6.04% for limited production forest areas. In the Koro Bakara watershed based on the results of the wetness index analysis, there were 71.24% of the watershed area included in the category of no potential, 1.03% of the watershed area included in the category of medium potential, 27.72% of the watershed included in the category of high potential flooding.
Embracing industrial revolution 4.0 in universities
Authors: Halili Siti Hajar , Sulaiman Shukri , Sulaiman Hamidah , Razak Rafiza 
Published: February 2021

Abstract
Embracing education 4.0 in universities in the Malaysian perspective has been limited to date and still considered at the early stages of implementation. This paper aims to analyze the literature highlighting the important elements of education 4.0 in universities as a means to position them strategically for the future. This is to provide new insight into the exploration of the idea in education through the perspective of how universities could embrace education 4.0 in the future. Since industrial revolution 4.0 (IR4.0) brings a huge impact on education, this paper helps universities policymakers to embrace their works on developing industrial revolution 4.0 education transformation and put more initiatives for the positive learning experience. This literature analysis reviews the following relevant areas: academic program 4.0, technological advancement 4.0 in teaching and learning, and 21st-century pedagogy. Hence, this study is significant in serving as a guideline to academicians and policymakers in embracing the IR4.0 in higher education. This paper may have some direct implications towards the industrial 4.0 (IR4.0) movements in Malaysia which able to help the ministry to extend their works on developing IR 4.0 education transformation in line with Malaysia Education Blueprint 2013-2025.
Prevalence of microvascular angina among patients with stable symptoms in the absence of obstructive coronary artery disease: a systematic review
Authors: Aribas Elif , Roeters van Lennep Jeanine E , Elias-Smale Suzette E , Piek Jan J , Roos Maurits , Ahmadizar Fariba , Arshi Banafsheh , Duncker Dirk J , Appelman Yolande , Kavousi Maryam 
Published: February 2021

Abstract
Our purpose was to perform a systematic review to assess the prevalence of microvascular angina (MVA) among patients with stable symptoms in the absence of obstructive coronary artery disease (CAD). We performed a systematic review of the literature to group the prevalence of MVA, based on diagnostic pathways and modalities. We defined MVA using three definitions: (i) suspected MVA using non-invasive ischaemia tests; proportion of patients with non-obstructive CAD among patients with symptoms and a positive non-invasive ischaemia test result, (ii) suspected MVA using specific modalities for MVA; proportion of patients with evidence of impaired microvascular function among patients with symptoms and non-obstructive CAD, and (iii) definitive MVA; proportion of patients with positive ischaemia test results among patients with an objectified impaired microvascular dysfunction. We further examined the ratio of women-to-men for the different groups. Of the 4547 abstracts, 20 studies reported data on MVA prevalence. The median prevalence was 43% for suspected MVA using non-invasive ischaemia test, 28% for suspected MVA using specific modalities for MVA, and 30% for definitive MVA. Overall, more women were included in the studies reporting sex-specific data. The women-to-men ratio for included participants was 1.29. However, the average women-to-men ratio for the MVA cases was 2.50. In patients with stable symptoms of ischaemia in the absence of CAD, the prevalences of suspected and definitive MVA are substantial. The results of this study should warrant cardiologists to support, promote and facilitate the comprehensive evaluation of the coronary microcirculation for all patients with symptoms and non-obstructive CAD.