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All Journal Paradigma Jurnal Sistem Informasi Kaputama (JSIK)
Yessi Hartiwi
Universitas Dinamika Bangsa Jambi
Computer Science & IT

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Eksperimen Pengenalan Wajah dengan fitur Indoor Positioning System menggunakan Algoritma CNN Yessi Hartiwi; Errissya Rasywir; Yovi Pratama; Pareza Alam Jusia
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.118 KB) | DOI: 10.31294/p.v22i2.8906

Abstract

Facial recognition work combined with the facial owner's position estimation feature can be utilized in various everyday applications such as face attendance with position detection. Based on this, this study offers a system testing experiment that can be run with facial recognition features and an Indoor Positioning System (IPS) to automatically check the location of the owner of the face. Recently, deep learning algorithms are the most popular method in the world of artificial intelligence. Currently, the Deep Learning algorithm toolbox has provided various programming language platforms. Departing from research findings related to deep learning, this study utilizes this method to perform facial recognition. The system we offer is also capable of checking the position or whereabouts of objects using Indoor Positioning System (IPS) technology. Facial recognition evaluation using CNN obtained a maximum value = 92.89% and an accuracy error value of 7.11%. Meanwhile, the average accuracy obtained is 91.86%. In the evaluation of the estimated position tested using DNN, the highest value of r2 score is 0.934, the lowest is 0.930 and an average is 0.932 and the highest value is MSE is 4.578, the lowest is 4.366 and the average is 4.475. This shows that the facial recognition process that is tested is able to produce good values but not the position estimation process. Keywords: Face Recognition, IPS, CNN, MSE, Accuraccy.
SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA GURU YAYASAN MENGGUNAKAN METODE FUZZY AHP Nurhayati; Manja Purnasari; Yessi Hartiwi
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 7 No. 2 (2023): Volume 7, Nomor 2, Juli 2023
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v7i2.80

Abstract

Kualitas sistem Pendidikan sangat dipengaruhi oleh kualitas sumber daya manusia, dalam hal ini adalah guru. Dalam menentukan kualitas guru maka penilaian kinerja menjadi satu hal yang penting dalam sebuah instansi Pendidikan. SMK Dharma Bhakti 1 Jambi terus melakukan eveluasi terhadap kinerja guru, hal ini bertujuan untuk melihat sejauh mana tanggungjawab masing-masing guru sudah dilaksanakan. Dalam meningkatkan kinerja guru pada SMK Dharma Bhakti 1 Jambi masih bersifat subjektif yaitu dengan cara mengevaluasi penilaian masing-masing guru terhadap guru lainnya. Berdasarkan permasalahan yang terjadi pada SMK Dharma Bhakti 1 Jambi tersebut maka dibutuhkan suatu sistem pendukung keputusan kinerja guru berdasarkan kriteria yang ada. Penelitian ini menggunakan metode Fuzzy Analytical Hierarchy Process (AHP) yaitu metode penilaian kinerja yang menyeluruh atau komprehensif. Dan hasil akhir dari penelitian ini adalah sebuah rancangan sistem pendukung keputusan untuk penilaian kinerja guru pada SMK Dharma Bhakti 1 Jambi menggunakan Fuzzy AHP.
Co-Authors Errissya Rasywir Manja Purnasari Nurhayati Nurhayati Pareza Alam Jusia Yovi Pratama