Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi

IMPLEMENTASI K-NEAREST NEIGHBORD PADA RAPIDMINER UNTUK PREDIKSI KELULUSAN MAHASISWA Sumarlin, Sumarlin; Anggraini, Dewi
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no1.p35-41

Abstract

Data on graduate students is an important part in determining the quality of a private and public university. Graduate data is included in important assessments in the accreditation process. Data from Uyelindo Kupang STIKOM graduates every year will continue to grow and accumulate like neglected data because it is rarely used. To maximize student data into information that can be used by universities, the data must be processed in this case used as training data in a study using data mining to obtain information in the form of predictions of graduation from Kupang Uyelindo STIKOM students. The method used in this study is K-Nearest Neighbor using rapidminer software to measure K-Nearest Neighbor's accuracy against student graduate data. The criteria used were in the form of student names, gender, cumulative achievement index (GPA) from semester 1 to 6. In applying the K-Nearest Neighbor algorithm can be used to produce predictions of student graduation. To measure the performance of the k-nearest neighbor algorithm, the Cross Validation, Confusion Matrix and ROC Curves methods are used, in this study using a 5-fold cross validation to predict student graduation. From 100 student dataset records Uyelindo Kupang STIKOM graduates obtained accuracy rate reached 82% and included a very good classification because it has an AUC value between 0.90-1.00, which is 0.971, so it can be concluded that the accuracy of testing of student graduation models using K-Nearest Neighbor (K-NN) algorithm is influenced by the number of data clusters. Accuracy and the highest AUC value of 5-fold validation is to cluster data k = 4 with the accuracy value of 90%.
IMPLEMENTASI DAN EFEKTIFITAS PENGGUNAAN MOBILE LEARNING TERHADAP HASIL BELAJAR MAHASISWA PROGRAM STUDI SISTEM INFORMASI STIKOM UYELINDO KUPANG Sumarlin, Sumarlin; Malahina, Edwin A. U.
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 11 No. 1 (2020): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol11no1.p39-45

Abstract

This research was made aiming to implement and improve the effectiveness of learning media through mobile-based mobile learning for all courses in Uyelindo Kupang STIKOM information system students. The research target to be achieved is an additional learning media that is interesting and easy to use so that it can increase student interest and student achievement. This research will discuss how to design, develop and evaluate the effectiveness of using Mobile Learning applications. This application is made so that students can easily access a course material using the Mobile Learning application by Smartphone and also to increase the effectiveness of conducting online lectures at the Uyelindo Kupang STIKOM information system study program. To measure the effectiveness of the use of mobile learning it is necessary to test among them, from the results of the Kolmogorov-Smirnov test using SPSS 16 it is found that the research subjects are normally distributed and based on the results of the Paired Samples Test t-test it is known that the significant value is 0,000> 0,05. While t-count = -11,142 and for t-table at a significant level ? = 5% (0.05) with degrees of freedom (df) n-1 or 50-1 = 49. Two-sided testing (significance = 0.025) results are obtained for t-table = 2 , 00958 with a significant level of 0.025. In the result t-count < t-table (-11.142 <2, 00958) then H0 is rejected and Ha is accepted. So that the use of mobile learning media can improve student learning outcomes at the Uyelindo Kupang STIKOM information system.
APLIKASI PENCARIAN LOKASI DAN INFORMASI TAMAN PENDIDIKAN AL-QUR’AN KOTA KUPANG BERBASIS ANDROID Hariyanto, Rudi; Malahina, Edwin A. U.; Sumarlin, Sumarlin
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 11 No. 2 (2020): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol11no2.p81-89

Abstract

Kupang city is one of the cities in Indonesia that has a high level of religious tolerance, this is supported by the Peace Gong archipelago, but this is inversely proportional to religious education in the city of Kupang, especially the Islamic religious education because of lack of religious instruction in formal education institutions . The Qur'an Educational Park is an institution that plays an important role in providing religious education, the procedure of reading and understanding al-quran. But the lack of community knowledge about the location of the Quranic Education Park has left the public confused to find and choose the right religious education institutions to give their children education about religion. For that, there need to be built an application that can display the location and information about the Qur'an Educational Park located in the city of Kupang. With Android-based development, it will simplify the community because Android smartphone users are quite a lot and ensure the accuracy of user location data. In addition to showing the location, the application will also provide information about the Qur'an Educational Park in Kupang City that has been marked on google maps.