Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : International Journal of Engineering and Emerging Technology

Implementation of Data Mining To Predict Period of Students Study Using Naive Bayes Algorithm Ida Bagus Adisimakrisna Peling; I Nyoman Arnawan; I Putu Arich Arthawan; I Gusti Ngurah Janardana
International Journal of Engineering and Emerging Technology Vol 2 No 1 (2017): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The quality of universities, especially study programs in Indonesia is measured based on accreditation conducted by BAN PT. According to BAN PT the quality is measured based on 7 main standards, one of them is Student and Graduate. One of the problems that still be the subject of discussion related to student failure is about the students who graduated not on time. Students graduating not on time are students who can not complete their studies in accordance with the provisions of time given. The existence of a graduate student is not timely of course cause problems and potentially drop out that affect the quality of education and accreditation. A system that predicts students' graduation is required by evaluating their learning outcomes. The timeliness of graduating students can be done with data mining techniques to find graduation patterns of students who have graduated which then used as a basis to predict students' graduation in the next year. This study showed that Naïve Bayes was able to classify the correct data testing on average by 86.16% and 13.84% error. In addition, other information obtained from the data testing used that the students who entered from the PMDK Pass graduated on time as much as 40%, other paths graduated on time by 26.7%, and pass filter exam on time 13.3%.
STMIK Primakara Academic Data Audit Based on DAF (Data Audit Framework) Ananta Wijaya; Adisimakrisna Peling; Ida Bagus Alit Swamardika
International Journal of Engineering and Emerging Technology Vol 1 No 1 (2016): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This time the development of a large amount of data occurs in various sectors, one of them is education sector. Although addition of data occurs every day, college does not yet have a formal strategy to perform collection, observation, and maintenance of the data. This condition is experienced by STMIK Primakara. The audit framework is required to mapping the existing data in higher education. Joint Information Systems Committee (JISC) develop Data Audit Framework that contains the stages of structured work to audit the academic data. The implementation of DAF on the academic data STMIK Primakara produce SWOT analysis which represent data asset condition.
Design Model of Subak Smart Irrigation Ananta Wijaya; Adisimakrisna Peling; I Gusti Ngurah Janardana
International Journal of Engineering and Emerging Technology Vol 1 No 1 (2016): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Water has  many benefits for human life. One of the benefits lies on the agricultural  sector. However,  as the water source is decreasing, the needs of water for agricultural  sector is increasing. Subak is therefore one of the solutions in agricultural  field. Meanwhile,  the existence of subak also rises  some problems. In terms  of water source management, subak can be very effective. Unfortunately, subak is not that efficient in the water use. Smart  irrigation with fuzzy logic used becomes a solution  which has  been offered to manage the water use  based on the needs the paddy.  This system uses solar panel  and battery.  In addition,  it is completed by the weather censor and humidity. This system works during rice planting period.  The findings show that the water irrigation on subak rice field becomes more effective,  efficient and optimizing the harvest.