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Research ArticleOpen accessEvery word in the titleDecision Support Model for Employee Selection Based on Data Mining and Fuzzy LogicClarissa Elfira Amos Pah, Ditdit Nugeraha UtamaThis paper explains the use of data mining and fuzzy logic in optimizing decision making for employee recruitment, especially in IT Consultant company. This method addresses the company's need to recruit employees with more objective and accurate by utilizing historical data to find patterns of potential employees for the company. First, classification will be carried out using data mining to … …Journal of Computer Science, Vol. 16, Issue 5 · 4 Jun 2020 · 7,667 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFactors Influencing Livestock Investment Decisions in West Sumatra: A Social Capital in Business Scheme Known as SeduaanFitrimawati, JafrinurThis study aimed to analyze the effect of social capital on investment decision making in the business of smallholder cattle breeding with the same system. The data of this research were gathered through surveys and interviews with farmers and investors in Cow business in the province of West Sumatra. Data collected is in the form of latent constructs analyzed through … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 2 · 21 May 2020 · 6,817 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in IndonesiaDitdit Nugeraha Utama, Alvali Zaqi Taufan, Al Ghifari Hartzani et al.Indonesia has an incredibly wide area for agriculture. The agriculture area in Indonesia has specific characteristic for each area (e.g., water capacity, land porosity, land height, etc.,). Furthermore, food crop is the most plant planted in Indonesia; rice, corn, red bean, green bean are some important food crops. The study aims to create a Decision Support Model based on fuzzy … …Journal of Computer Science, Vol. 16, Issue 4 · 29 Apr 2020 · 7,504 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDecalin Dissolving Method for Recover of Styrene –Butadiene Rubber from Scrap TiresAeppa M.T. Sultan, Fawzi Habeeb JabrailDecalin, a hydrocarbon industrial solvent was used for the recovery of Styrene- Butadiene Rubber (SBR) from grind scrap truck tires using chemical dissolving method. The applied technique is easy, simple and depends on available materials. The method depends mainly on steeping the scrap tires grind into decalin at 50C for one month. Then the process was followed by boiling of … …American Journal of Environmental Sciences, Vol. 15, Issue 4 · 11 Oct 2019 · 8,070 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleClassifying and Predicting Students’ Performance using Improved Decision Tree C4.5 in Higher Education InstitutesMohammed Hikmat Sadiq, Nawzat Sadiq AhmedStudents’ information in higher education institutions increases yearly. It is hard for them to extract meaningful information from the huge amount of data manually. Such information can support academic staff to stop students from dropping out at the end of courses. This can be done by evaluating the students’ performance for the course and also by predicting their performance in … …Journal of Computer Science, Vol. 15, Issue 9 · 12 Sep 2019 · 9,168 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDistributed and Parallel Decision Forest for Human Activities Prediction: Experimental Analysis on HAR-Smartphones DatasetBudi Padmaja, Venkata Rama Prasad Vaddella, Kota Venkata Naga SunithaSensor-based human motion detection requires the subtle amount of knowledge about various human activities from fitted sensor observations and readings. The prevalent pattern recognition methodologies have made immense progress over recent years. Nonetheless, these kind of methods usually rely on the particular heuristic variable extraction, which could inhibit generalization realization. This paper presents a distributed and parallel decision forest approach … …Journal of Computer Science, Vol. 15, Issue 5 · 11 May 2019 · 7,392 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGroup Decision Support System to Determine Regional Development Priority Using the Item-Based Clustering Hybrid MethodSri Setiyowati, Sumiati, Sutarti et al.Determination of regional development priorities is usually influenced by two factors, firstly the policy-making subjectivity (regional head) second to the results of the development data analysis. But both often do not go hand in hand because in fact subjectivity is more dominant than combining the two. The development of computational technology, especially in the area of decision support, provides space … …Journal of Computer Science, Vol. 15, Issue 4 · 19 Apr 2019 · 7,824 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleObesity Level Estimation Software based on Decision TreesEduardo De-La-Hoz-Correa, Fabio E. Mendoza-Palechor, Alexis De-La-Hoz-Manotas et al.Obesity has become a global epidemic that has doubled since 1980, with serious consequences for health in children, teenagers and adults. Obesity is a problem has been growing steadily and that is why every day appear new studies involving children obesity, especially those looking for influence factors and how to predict emergence of the condition under these factors. In this … …Journal of Computer Science, Vol. 15, Issue 1 · 8 Jan 2019 · 14,100 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSimulated Annealing Decoder for Linear Block CodesLahcen Niharmine, Hicham Bouzkraoui, Ahmed Azouaoui, Youssef HadiIn this study, we introduce a novel soft decoder, the first of its kind, for linear block codes, based on Simulated Annealing algorithm (SA). The main enhancement in our contribution which let our decoder over performs with large gain (about 3 dB at 710-4) the classical SA approach, is to take the most reliable information set of the received codeword … …Journal of Computer Science, Vol. 14, Issue 8 · 4 Sep 2018 · 7,810 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredicting Students’ Academic Performance in the University Using Meta Decision Tree ClassifiersShanthini A., G. Vinodhini, R.M. ChandrasekaranStudent performance prediction is an area of concern for educational institutions. At the University level learning system, the method or rule adopted to identify the candidates who pass or fail differs depending on various factors such as the course, the department of study and so on. Predicting the result of a student in a course is an issue that has … …Journal of Computer Science, Vol. 14, Issue 5 · 28 Feb 2018 · 9,194 accessesView PDFCite