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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Journal of Applied Engineering and Technological Science (JAETS) JR : Jurnal Responsive Teknik Informatika
Sarjon Defit
UPI YPTK Padang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

 1 
Identifikasi Anggota dalam Penempatan pada Struktur Organisasi menggunakan Metode Profile Matching Ahmadi Ahmadi; Sarjon Defit; Jufriadif Na’am
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.767 KB) | DOI: 10.29207/resti.v2i2.358

Abstract

The organization of a political party is one organization that must have an organizational structure. Each cadre who sits in the structure must have skills that match his field. The goal is for the organization to grow better. For each cadre to occupy the appropriate structure, identification must be performed. The method used to identify is Profile Matching on the data of each prospective member. Based on the test results obtained cadre with a special aspect of 60% and the general aspect of 40% is the right one. Then this method is suiTabel to be used in identifying cadres who will occupy positions in organizational structure.
Prediksi Hasil Ujian Kompetensi Mahasiswa Program Profesi Dokter (UKMPPD) dengan Pendekatan ANFIS Fajri Marindra Siregar; Gunadi Widi Nurcahyo; Sarjon Defit
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (925.046 KB) | DOI: 10.29207/resti.v2i2.388

Abstract

The main objective of this study was to predict the outcome of student's competency exam of the medical profession (UKMPPD) using Adaptive Neuro-Fuzzy Inference System (ANFIS). Data obtained from the Faculty of Medicine Universitas Riau’s student database in 2015 which amounted to 170 data. Input variables were membership status, length of study, and grade point average. Furthermore, the data were analyzed using MATLAB software by setting the number of membership function 2 2 2 and Gbell membership function. The results showed that the method is able to predict the outcome of UKMPPD with Mean Average Percentage Error (MAPE) 0.07%, minimum 0.00%, and maximum 0.44%.
Co-Authors Ahmadi Ahmadi Fajri Marindra Siregar Ghea Paulina Suri Gunadi Widi Nurcahyo Jufriadif Na`am, Jufriadif MUHAMMAD TAJUDDIN Sintia Sintia Sumijan Susandri, Susandri