bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of Apriori Algorithm for Analysis of Consumer Purchase Patterns
Authors: Panjaitan Suprianto , Sulindawaty  , Amin Muhammad , Lindawati Sri , Watrianthos Ronal , Sihotang Hengki Tamando , Sinaga Bosker 
Published: September 2019

Abstract
Consumer purchasing patterns are a form of purchases made by consumers, whether someone or a lot of people to get the desired item by making a purchase transaction. One characteristic of the purchase pattern is the existence of acquiring something through exchanging money. This study aims to create an application that is used in determining consumer purchasing patterns by applying a priori algorithms and using Visual Basic 2010 as a tool for determining consumer purchase patterns. This application uses a priori algorithm calculation method where the sample consumer purchase data will be sorted and calculated by providing the value of the minium support and configuration parameters and based on the results of confidence the largest number of conclusions such as: can be used as information for determining sales, the application of a priori algorithms can provide information pattern combination item set from consumer purchase data that is with support above 15% and confidence above 50% on item set.
Implementation of MD Heuristic Method for Classifying Numerical Data In Data Preprocessing
Authors: Wahyuni Sri , Zarlis Muhammad , Solikhun  , Jollyta Deny , Safii M. , Sulistianingsih Indri 
Published: September 2019

Abstract
Implementation of Data Mining with various methods will generate new knowledge and information in the form of rule which is very useful, but in implementation of data mining experience some weakness in data processing process. One weakness is that not all variable data can be easily processed, if the data is processed has a numerical value or data in the form of numbers then the division of classification is very difficult to do. If the classification of data is so many variables then the branch on the decision tree is also very much and result in less accurate results of rules or knowledge generated. MD Heuristic method can be used to classify numerical data or numbers that have a large range of data. By implementing the MD Heuristic Method in classifying the data in numerical form it can easily classify the data to make the data classification more precise and accurate, by calculating and averaging between the upper and lower bounds of the large data set. The use of MD Heuristic can facilitate preprocessing data with decision tree algorithm C4.5. The result of this research is detainee data at Labuhan Deli Detention Center, that is the data of age of detainee can be classified with more accurate to facilitate in process of data and more shorten rule or knowledge in result of decision tree image.
Application of Mamdani and Sugeno Fuzzy Toward Ready-Mix Concrete Quality Control
Authors: Batubara Supina , Hariyanto Eko , Wahyuni Sri , Sulistianingsih Indri , Mayasari Nova 
Published: September 2019

Abstract
The value of concrete compressive strength based on several methods of acceptance requirements of concrete in Indonesia to obtain a more economical concrete quality is recommended using SNI 03-2847-2002 rules as a reference in the evaluation and quality control of concrete. Fuzzy logic is different from ordinary digital logic, where the usual digital logic only recognizes two condition that is “yes” or “no”. While Fuzzy logic imitate the way of human thinking by using the concept of the pseudonym of a value. the Mamdani type and Sugeno type is resulted in the same decision, although there was a difference in the calculation of the final result but still within the same range of manual calculations with the calculation with the help of MATLAB. Both fuzzy can be applied in determining the quality of concrete because it produces the same decision. Although both fuzzy method can be used in determining the quality but the more recommended is the Mamdani type because Mamdani type result of calculation is closer to the actual result, and while there is input change is entered then the end result will change but Sugeno type while input change value is not too big the change then the end result also there will be no change.
Application of the Perlin Noise Algorithm as a Track Generator in the Endless Runner Genre Game
Authors: Ginting Anirma Kandida , Sari Kartika , Fadhilah Cut , Yusra Rahmad Nurhadi , Hartama Dedy , Zarlis Muhammad 
Published: September 2019

Abstract
The rapid development of technology has made the game as one of the popular entertainment media ranging from children to adults. Endless Runner games can be interpreted into two things, namely player characters that cannot stop or the game track that continues to run. The Perlin Noise algorithm will generate a Track Generator that continues to run randomly. Procedurally track generators can produce Pseudo-endless tracks, which are commonly used in Endless Runner games. Each track is generated by combining a series of blocks installed with each other, where each block experiences a deformation change in front of it. So that the next block that will be made in accordance with the one behind it thus repeating the process will result in unlimited tracks. Making this Track Generator uses C Sharp programming language (C #) using the Unity 5.5 game engine.
Testing Real-Time Applications on Windows 10 IOT Using the Nyquist Theory
Authors: Syahputa Zulfahmi , Zarlis M. , Nasution Beny B. 
Published: September 2019

Abstract
Raspberry Pi is a mini-computer that is provided to carry out activities quickly and precisely, but Raspberry Pi was created to not be able to do the real-time system with the support of Windows 10 IoT operating system, so the real-time system can be done on Raspberry Pi. The real-time applied in the application needs to be tested with the Nyquist theory. The purpose of this study was to get real-time system measurements available on Windows 10 IoT. This test is done using the Nyquist theory by calculating the results of measurements on mp3 streaming performed on Windows 10 IoT.
Analysis of Decision Tree and Smooth Support Vector Machine Methods on Data Mining
Authors: Sitepu Natalina Br , Sawaluddin  , Zarlis M , Efendi Syahril , Dhany Hanna Willa 
Published: September 2019

Abstract
This research is about smooth support vector machine (SSVM) and Decision Tree in data mining. Many researchers conduct and develop methods to improve the accuracy and classification of data on good results. This research was conducted by conducting an experiment on STMIK Neumann Medan student data. In this study, it was concluded that Decision Tree performance is better than SSVM, Decision Tree gets very good results that promise to help find the best students to get scholarships. This study is better than SSVM. The training process has a difference of 11.04% and the testing process is 10.08% with each Accuracy.
Application of Classification Algorithm C4.5 in Recommendations for Natural Tourism Development in District Simalungun
Authors: Irawan Eka , Sumarno  , Gunawan Indra , Tambunan Heru Satria , Qurniawan Hendri 
Published: September 2019

Abstract
A tour of human activities to relieve fatigue after a week or a month in carrying out daily activities both as a worker or employee. This activity is carried out to entertain every human being and relax the mind. Besides that, tourism can also help people around the location of tourism objects as a livelihood to meet the needs of life. Simalungun Regency has several natural attractions scattered in several sub-districts which can attract the attention of visitors to travel, but there are still many that have not been well managed by the government or the private sector. To develop the tourism industry in Simalungun Regency, many obstacles faced by the management start from the location, transportation, costs and facilities available and this is also faced by visitors to visit a tourist attraction. In this study, we will choose a location that can be developed based on a questionnaire from several communities / tourists to assess a tourist site that is more supportive to develop. From the results of the election using the C4.5 Algorithm. Then it has been found that the Nature Tourism object can be developed with a level of accuracy that reaches 90% and a recall of 83.33%.
Integrated Rural Decision Support System Model Based on Android
Authors: Taufiq  , Mawenkang Herman , Zarlis M. , Suwilo Saib 
Published: September 2019

Abstract
The village needs to develop the independence and welfare of the community by increasing knowledge, attitudes, skills, behaviors, abilities, awareness, and utilizing resources through the establishment of policies, programs, activities and mentoring in accordance with the essence of the problems and priorities of the needs of the village community, related to the implementation of The Village Law Number 6 of 2014, one of which is about an integrated village-based village potential information system to open information on the implementation of village governance to the public, with the opening of public information the citizens can be more active together with the government to build the village. Information that needs to be known, among others:, Village administration potential, population administration, Village profile administration. The object of research was Juli Tambotanjong Village, Alue Buya Term Village, Abeuk Budi Village with different Village characteristics, so that the formation of an integrated Android-based Village Database utilizing Cloud Computing and Mobile Computing, which made it easier for users (communities) to access information in making decisions. -that. And the purpose of the Integrated Rural Decision Support Information System Model Based on Android.
The Effect of Self Efficacy on Statistics Learning Achievement at Students’ of STIKOM Tunas Bangsa Pematangsiantar
Authors: Kirana Ika Okta , Nasution Zulaini Masruro , Gunawan Indra 
Published: September 2019

Abstract
The purpose of this study was to analyze the effect of self-efficacy on statistical learning outcomes. The research method by using the survey way. Collecting data by random sampling 50 students’ second semester Academic Year 2017/2018 STIKOM Tunas Bangsa. Technique data collection by using questionnaire and tests. The data analysis technique by using a simple linear regression analysis with SPSS 25. Meanwhile, hypothesis testing using t-test to indicate that self-efficacy influences learning outcomes statistics. The results of this study obtained t count value of 7.452 while, t table value with a significance level of 0.05 is 2.011 because the value of tcount > ttable and a significant value of 0.000 <0.05, self-efficacy (X) partially has an effect is significant to the dependent variable namely learning outcomes (Y).
Groundwater temperature anomalies in central Europe
Authors: Tissen Carolin , Benz Susanne A , Menberg Kathrin , Bayer Peter , Blum Philipp 
Published: September 2019

Abstract
As groundwater is competitively used for drinking, irrigation, industrial and geothermal applications, the focus on elevated groundwater temperature (GWT) affecting the sustainable use of this resource increases. Hence, in this study GWT anomalies and their heat sources are identified. The anthropogenic heat intensity (AHI), defined as the difference between GWT at the well location and the median of surrounding rural background GWTs, is evaluated in over 10 000 wells in ten European countries. Wells within the upper three percentiles of the AHI are investigated for each of the three major land cover classes (natural, agricultural and artificial). Extreme GWTs ranging between 25 °C and 47 °C are attributed to natural hot springs. In contrast, AHIs from 3 to 10 K for both natural and agricultural surfaces are due to anthropogenic sources such as landfills, wastewater treatment plants or mining. Two-thirds of all anomalies beneath artificial surfaces have an AHI > 6 K and are related to underground car parks, heated basements and district heating systems. In some wells, the GWT exceeds current threshold values for open geothermal systems. Consequently, a holistic management of groundwater, addressing a multitude of different heat sources, is required to balance the conflict between groundwater quality for drinking and groundwater as an energy source or storage media for geothermal systems.
Development of potato (Solanum Tuberosum L.) haulm cutter
Authors: Titiwa K P , Gavino H F , Gavino R B , Malamug V U 
Published: September 2019

AbstractManual haulm cutting using bolo is a practice of potato farmers in the Philippines prior to digging the potato tubers. The operation requires about 40 man-hours per hectare and with the current practice, the workers are exposed to risk of injuring themselves or their coworkers during the operation. This study was then conducted to develop a potato haulm cutter for potato farmers. The device was designed and fabricated using locally available materials. The working performance of the machine was evaluated using the following cutter speed: 833 rpm, 1115 rpm and 1392 rpm with three replications at an engine speed of 2526 rpm. Results revealed that the cutter speed of 1392 rpm gave the highest cutting capacity of about 0.15 ha/hr with field efficiency of 98 .64% and cutting efficiency of 88.33%. The machine capacity of 1457m2/hr was five times higher than manual cutting capacity of 287 m2/hr. Cost analysis of using the machine indicated a break-even point of 3.87 ha/yr. Cost analysis also indicated an expected income of ₱ 101, 772.00 per annum and a payback period of 5.4 months for the haulm cutter cost. Finally, the machine was perceived acceptable and beneficial to the potato growers.
A study of stalk shape for designing the operational mechanism of gripping equipment for cassava tuber cut preparation process
Authors: Singhpoo T , Wongpichet S , Saengprachatanarug K , Posom J , Watyotha C , Yangyuen S 
Published: September 2019

Abstract
The objective of this research was to study the geometry of cassava plants such as number of stalks and branches, which will be useful for designing stalk gripping equipment which is a part of cassava tuber cutting process. Eight fields of cassavas planted with Kasetsart 50 variety, which is the most popular variety in Khon Kaen, were used to obtain samples for this study. The results indicated that cassavas can be clearly and easily categorized by number of stalks and branches. Moreover, they can be grouped into 6 types which are S11, S12, S13, S2, S3 and X. The number of samples of each type in each field were unequal with the maximum number of samples S11, S12, S13, S2, S3, and X type in fields were 3, 5, 5, 6, 2, and 7, and with percentage of 36, 75, 11, 42, 26 and 22, respectively. According to results above, gripping part can be designed by following plier shape concept.
Determination of field capacity for the sugarcane harvester using GNSS data
Authors: Kaewkabthong A , Udompetaikul V 
Published: September 2019

Abstract
Harvesting is an important activity in the sugar production industry. Due to the labor shortage and time limitation during harvesting season, farmers have adopted cane harvesters to substitute the farm workers in this restless period. Cane harvesters are huge and expensive machines with high field capacity. Because of inappropriate working conditions in Thailand, the actual field capacity is much lower than that in its specification. The objective of this research is to study the factors affecting the field capacity of the sugarcane harvester. A GNSS logging system was used to record the machine’s position and traveling speed during operation. Crop yield for each field was also collected. Field dimension and other working parameters such as working time and the number of turns were derived from the GNSS data. A field capacity prediction model was developed. The study shows that the optimal working speed, crop yield, and the number of turns per field area were significant factors to predict the harvester’s field capacity. The coefficient of determination (R2 value) of the model was 0.625. It was suggested to include more machine and field variation for further robust model development and uses in the optimization of field operation performance.
Influence of temperature dependence of viscosity on thermal process establishment using CMC-based liquid food model
Authors: Chuenchumsap B , Asavasanti S , Tangduangdee C 
Published: September 2019

Abstract
Since determination of the slowest heating zone (SHZ) is a tedious task in thermal process establishment, mathematical simulation has been introduced. In this research, a numerical study on 2-dimensional natural convection in a cylindrical can during sterilization of liquid food (1% Carboxy-methyl cellulose, CMC) was performed to simulate the flow pattern and temperature distribution. SHZ and sterilizing value (F
0) were also determined. Temperature dependent viscosity and density were assumed, while heat capacity and thermal conductivity were kept constant. To represent the actual mechanisms of heating in an overpressure retort, nonisothermal boundary condition (B.C.) was applied; the results were compared with isothermal B.C. The non-isothermal B.C. resulted in a slower heating rate and the simulated temperature profiles that agreed well with the experimental data (2.6% RMSE). Simulated SHZ was forced to move downwards from the geometric centre to the bottom of the can and stayed at about 10% of the can height from the bottom. SHZ moved closer to the wall (at r = R/2) as a result of the secondary flow due to natural convection. An increase in viscosity and thermal conductivity and a decrease in specific heat and density of higher than 5% resulted in a significantly lower F
0-value.
Precision test for scanning of soil in durian orchard using near-infrared spectroscopy
Authors: Phanomsophon T , Sirisomboon P 
Published: September 2019

Abstract
Near infrared (NIR) spectroscopy is a rapid technique for non destructive testing. Durian is popular fruit in Thailand. Growing durian is not easy. It needs to provide proper nutrients. Therefore, this paper aims to test the repeatability and reproducibility of NIR scanning before conducting the feasibility test of creating the equation to predict the N P K value in the soil for the durian trees. Results showed that the repeatability of FT-NIR spectrometer and Micro-NIR spectrometer for fresh soil were 0.064 and 0.075, respectively and for soil powder, they were 0.039 and 0.048, respectively. The reproducibility of FT-NIR spectrometer and Micro-NIR spectrometer for fresh soil were 0.048 and 0.051, respectively and for soil powder were 0.051 and 0.046, respectively.
Towards the definition of a nZEB cost spreadsheet as a support tool for the design
Authors: Pernetti R , Garzia F , Paoletti G , Weiss T 
Published: September 2019

Abstract
The 2010 Energy Performance of Buildings Directive (EPBD recast) [1] established that all new buildings have to reach, by the end of 2020, the nearly-Zero Energy (nZEB) target as set by the Member States. In order to achieve the nZEB standards, while keeping investments sustainable, it is strategic to focus more on the operational phase and to guide the decision-support with a lifetime perspective. In this regard, a crucial step is to adopt a shared methodology for evaluating the Life-Cycle Cost (LCC), in order to minimize the effect of uncertainties, the impact of calculation approach and the variability of the boundaries at EU level. The H2020 CRAVEzero project developed a LCC spreadsheet, aimed at calculating a set of relevant indicators for assessing the cost during the investment phase (design, labour and material costs) as well as during the operational phase of a building (energy and maintenance costs). The LCC spreadsheet implements an approach for normalising the results according to the main relevant boundaries that can affect the comparability at EU level (e.g. energy prices, the national construction costs, the climatic conditions, etc.). Moreover, it introduces a sensitivity analysis that aims to provide the impact that the boundary conditions can have on the results, reducing the uncertainties in the LCC calculations due to a long-term perspective (http://www.cravezero.eu/lcc spreadsheet/). This paper presents the structure of the LCC calculation approach defined within the project, the structure of the spreadsheet and the main indicators as evaluated for a set of relevant nZEB case studies across Europe.
Life cycle environmental impact of refurbishment of social housing
Authors: Van de moortel E , Allacker K , De Troyer F , Stijnen L , Schoofs E 
Published: September 2019

Abstract
The current focus on climate change mitigation is reflected in policy goals to reduce the energy use of buildings. However, buildings are not only responsible for a large share of energy use and corresponding GHG emissions, they moreover require a lot of resources, produce a lot of waste, and emit harmful substances. In this paper, an approach is developed to investigate the most preferred renovation strategies for social housing, considering various parameters such as efficiency of the current and future heating system, service life of the heating system and insulation level of the building envelope. Moreover the reduction in life cycle environmental impact due to the replacement of heating systems by systems with increased efficiency is studied. The results show that for non-insulated buildings an increase of the thermal resistance of the building envelope is more effective than replacing the heating system while for, even poorly, insulated buildings the efficiency of the heating system is more important. A holistic Life Cycle Assessment approach is preferred to assess renovation scenarios as focussing on energy reduction might lead to an increase of the life cycle environmental impact of the building. Although this paper focuses on social housing, the approach is broadly applicable.
Massive timber building vs. conventional masonry building. A comparative life cycle assessment of an Italian case study
Authors: Pittau F , Dotelli G , Arrigoni A , Habert G , Iannaccone G 
Published: September 2019

Abstract
This work aims to investigate the environmental friendliness of building materials, and in particular the benefit of using biogenic products as replacement of conventional materials. The sustainability of wood as a construction material is a complex issue since the environmental impacts are strongly related to forest management, service life and, finally, to end-of-life scenarios and waste treatment processes. In this study, a Life Cycle Assessment (LCA) comparison was carried out between a semi-detached house out of cross-laminated timber (CLT) and a conventional building with similar geometric characteristics and equal thermal performance (U-value), out of light-clay bricks with a reinforced concrete structure. Particularly, the environmental impacts from raw materials supply, transportation and product processing (cradle to gate) were investigated and the Recipe mid-point method was adopted for the impact assessment to compare the environmental burdens of the two equivalent buildings. The positive environmental values resulted in the massive timber building are mainly connected to the replacement of the reinforced concrete mass used in the structure. The outcome, in terms of global warming potential, show that the use of wood as a building material instead of conventional materials results in a reduction of greenhouse gas emissions of roughly 25%. This material replacement, if extended on a large scale, could give a valid contribution on achieving the community goals of reducing emissions from the construction sector.