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Journal : SMATIKA

Sistem Informasi Analisa Kelulusan Mahasiswa Asia Menggunakan Exponential Smoothing Brown-Additive Warna Agung Cahyono; Sri Anggraini Kusuma Dewi
SMATIKA JURNAL Vol 10 No 01 (2020): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v10i01.441

Abstract

C4.5, K-Nearest Neighbours (KNN), Naive Bayes, and SVM algorithm can be used to estimate whether a student passes or not. However, the method cannot estimate the remaining shortcomings of the credits taken by students. The author proposes using a comparison of single exponential smoothing and brown-additive exponential smoothing to analyze students’ graduation for the estimated credit they will take. Data series in the form of total credits graduated in the semester achievement index by taking into account the data confirmed students have graduated. The use of exponential smoothing with the additive tren model shows better results than the single model. The tren model was tested on 759 students who had graduated from 2010 to 2015. The best testing uses MAE occurred in the ES tren model with an alpha parameter of 0.75 and a beta parameter of 0.5 with an inaccurate difference in the estimation of the next semester's credit as many as 0,36 credits.
Pengembangan Aplikasi M-Learning Berbasis Android Sebagai Sarana Penunjang Pembelajaran Dalam Kelas Budi Santoso; Bambang Tri Wahyo Utomo; Sri Anggraini Kusuma Dewi
SMATIKA JURNAL Vol 10 No 01 (2020): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v10i01.444

Abstract

The use of learning management software is increasingly widespread in the era of industry 4.0, but most of the software was developed in the time when the use of smartphones has not been widespread, so that the interface is designed for use on desktop computers. Although e-learning allows users to access lecture material remotely through web applications, user mobility is still limited because it depends on the position of the desktop where he works. Accesing the application using a smartphone is also not enjoyable due to poor performance and the screen is too cluttered with the menu, which is don’t fit with the small screen of the smartphone. This lead to less optimal use of the e-learning facilities by students. To overcome the above obstacles, this research designed an e-learning application interface with native applications on mobile devices. This e-learning mobile application consists of a backend that runs on the server and a frontend application on a smartphone device. As a backend to servers, chamilo-based online learning management software is used. Chamilo is an opensource online learning management software developed with php programming language. The mobile software was developed natively for android devices using the react native framework, a programing framework based on javascript programming language. Access to the database using SOAP-based webservice and RESTFUL API. It is expected that with this software students can access the lecture material more frequently due the simple and more intuitive interface without being hindered by complex menus, so that the level of absorption of learning material is higher.