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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Indonesian Journal of Artificial Intelligence and Data Mining JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Statistika dan Matematika (Statmat) Tematik : Jurnal Teknologi Informasi Komunikasi
I Wayan Wiprayoga Wisesa
Institut Teknologi Sumatera
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics Other

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Journal : Indonesian Journal of Artificial Intelligence and Data Mining

 1 
An Optimization Model for Teaching Assignment based on Lecturer’s Capability using Linear Programming Imam Eko Wicaksono; I Wayan Wiprayoga Wisesa
Indonesian Journal of Artificial Intelligence and Data Mining Vol 3, No 2 (2020): Spetember 2020
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v3i2.9705

Abstract

In the campus, the arrangement of teaching assignment for the lecturers have been the porblem encounterd by the management on the beginning of each semester. This process including assigning a class with suitable lecturer while adjusting the appropriate load for the lecturer. Such problem is non-trivial and can be considered as a linear system model. In this article, we try to solve the problem of teaching assignment using optimization model. We tried to maximize the capability of lecturers on particular subject while also considering their loads. Using branch and bound algorithm, the optimal solution were found and the problem are well solved.
IoT-based Architecture for Automatic Detection of Fall Incident using Accelerometer Data I Wayan Wiprayoga Wisesa; Genggam Mahardika
Indonesian Journal of Artificial Intelligence and Data Mining Vol 3, No 2 (2020): Spetember 2020
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v3i2.9686

Abstract

Fall is an unintentional incident that could happened in our daily life. For the elderly, fatal fall incident might increase the risk of death. There is a need to quickly do the first aid after fall incident occur. IoT based architecture made it possible to monitor fall incident remotely. The monitoring device records the activity and object movement using tri-axial accelerometer sensor attached to user’s waist. The system implemented simple thresholding technique based on total acceleration recorded over time. Various scenarios were performed in order to test the system including normal daily activities and fall incident. Using sensitivity and specificity measurement to evaluate the system, the proposed system achieved the value of 98% and 96% respectively.
Co-Authors Amrulloh, Iqbal Ekowicaksono, Imam Fitriani, Vita Genggam Mahardika Imam Eko Wicaksono Imam Ekowicaksono Martin Clinton Tosima Manullang, Martin Clinton Tosima Novaldi, Fahri Rajif Agung Yunmar