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All Journal Jurnal Riset Informatika SKANIKA: Sistem Komputer dan Teknik Informatika
Suherman Achmad
Universitas Budi Luhur
Computer Science & IT Control & Systems Engineering Engineering

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PROTOTIPE SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN GURU TELADAN PADA SMK ERA INFORMATIKA Suherman Achmad; Achmad Solichin
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 1 No 2 (2018): Jurnal SKANIKA Mei 2018
Publisher : Fakultas Teknologi Informasi, Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (546.236 KB)

Abstract

Dalam implementasi Kurikulum 2013 di Sekolah Menengah Kejuruan, pihak sekolah sering menghadapi beberapa kendala terkait dengan mutu pembelajaran yang menitikberatkan pada bidang keahlian dan ketrampilan peserta didik. Dalam hal ini guru selaku pembina dan pembimbing peserta didik sangat berperan dalam menata dan menciptakan pembelajaran yang nyaman, tepat sasaran, bermutu serta memiliki nilai pendidikan bertaraf internasional sebagaimana sesuai dengan harapan peserta didik. Namun di SMK Era Informatika saat ini tenaga pendidik atau guru perlu untuk ditata dan ditinjau standar kriteria guru yang bermutu. Oleh karena itu, program guru teladan perlu dilakukan agar guru terpacu untuk selalu meningkatkan mutunya. Dalam penetapan guru teladan, pihak sekolah masih mengalami beberapa kendala terkait dengan kriteria dari masing-masing guru. Untuk mengatasi kendala tersebut serta meminimalisir terjadinya kesalahan dibutuhkan sebuah Sistem Pendukung Keputusan untuk menentukan guru teladan. Pada penelitian ini, dibuat sebuah Sistem Pendukung Keputusan dengan menerapkan metode Simple Additive Weighting (SAW). Metode SAW menghitung kompetensi tiap individu berdasarkan kriteria yang diberikan. Metode SAW membutuhkan proses normalisasi matriks keputusan (x) ke suatu skala yang dapat diperbandingkan dengan semua alternatif yang ada. Sistem pendukung keputusan penetapan guru teladan ini dikembangkan dengan bahasa pemrograman PHP dan database MySQL. Hasil penelitian ini berupa aplikasi SPK yang menyajikan rekomendasi guru teladan berdasarkan data masukan yang diberikan.
Mobile Based Student Presence System Using Haar Cascade and Eigenface Facial Recognition Methods Suherman Achmad; Nazori AZ; Achmad Solichin
Jurnal Riset Informatika Vol 5 No 2 (2023): Priode of March 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i2.340

Abstract

Using biometric technology for recording attendance in the school environment is still not widely done by researchers. In this study, a solution was proposed to the problems that occurred in the school environment where parents/guardians could not monitor the presence of their children in school. The solution offered is a student attendance recording system based on facial recognition algorithms (face recognition). The built system can record the presence of students when entering the classroom and when returning home or out of class. Proposed methods for identifying student attendance are the Haar Cascade and Eigenface algorithms. The system can also provide notice of attendance or absence of students in real time to parents/guardians via email that has been registered. The method can provide accurate and fast facial recognition results based on the test results. The presence system developed based on mobile can recognize faces up to a distance of 200-300 cm with low and moderate light intensity.
Mobile Based Student Presence System Using Haar Cascade and Eigenface Facial Recognition Methods Suherman Achmad; Nazori AZ; Achmad Solichin
Jurnal Riset Informatika Vol. 5 No. 2 (2023): March 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i2.213

Abstract

Using biometric technology for recording attendance in the school environment is still not widely done by researchers. In this study, a solution was proposed to the problems that occurred in the school environment where parents/guardians could not monitor the presence of their children in school. The solution offered is a student attendance recording system based on facial recognition algorithms (face recognition). The built system can record the presence of students when entering the classroom and when returning home or out of class. Proposed methods for identifying student attendance are the Haar Cascade and Eigenface algorithms. The system can also provide notice of attendance or absence of students in real time to parents/guardians via email that has been registered. Based on the test results, the method can provide accurate and fast facial recognition results. The presence system developed based on mobile can recognize faces up to a distance of 200-300 cm with low and moderate light intensity.
Co-Authors Achmad Solichin Nazori AZ