Claim Missing Document
Check
Articles

Found 3 Documents
Search

Perancangan Sistem Pendukung Keputusan untuk Menyeleksi Siswa Magang ke Jepang Menggunakan Metode Simple Multi Attribute Rating Technique (SMART) Berbasis Web Fadilla Eka Putri; Nugraha Rahmansyah; Vicky Ariandi
Majalah Ilmiah UPI YPTK Vol. 25 (2018) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v25i1.32

Abstract

Salah satu metode komputasi yang cukup berkembang saat ini adalah sistem pengambilan keputusan. Suatu sistem pendukung keputusan dituntut agar dapat mempunyai kemampuan proses yang cepat, tepat sasaran, dan dapat dipertanggung jawabkan dalam menghasilkan keputusan. Dalam sebuah lembaga terdapat struktural organisasi, dan sebuah lembaga pendidikan yang didirikan khusus untuk mempersiapkan siswanya agar siap bekerja di luar negri khususnya dalam pembelajaran bahasa Jepang agar lulus seleksi magang ke Jepang. Penentuan seleksi magang ke Jepang dibutuhkan sistem pengambilan keputusan yang cepat dan akurat. Untuk membantu pengambilan keputusan salah satu metode yang digunakan yaitu metode Simple Multi Attribute Rating Technique (SMART) berbasis Web, dimana metode ini memilih alternatif kriteria yang mempunyai nilai dan bobot dan telah ditentukan untuk mendapatkan hasil seleksi siswa magang ke Jepang. Berdasarkan hasil pengujian sistem didapatkan kesimpulan bahwa metode Simple Multi Attribute Rating Technique (SMART) cukup efektif untuk diterapkan dalam menentukan seleksi siswa magang ke Jepang pada LPK Hinomaru Padang
Sistem Informasi Pemesanan Jasa Wedding Organizer pada Youzhie Penganten dengan Menggunakan Bahasa Pemograman PHP Dan MySQL Vicky Ariandi
Majalah Ilmiah UPI YPTK Vol. 26 (2019) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v26i1.48

Abstract

Web design Ordering Wedding Organizer Services at Youzhie Bride aims to make it easier for the public to obtain information on ordering wedding services (online) that were previously known from the mouth of the mouth so that they can save time, here I make it easier for people to order online so they can be efficient and effective . This final project can help in building an online ordering system. The design system in making websites Ordering Wedding Organizer Services at Youzhie The bride was developed using several software namely xampp, Notepad ++, Server which is a combination of Web Server, PHP and MySQL
Optimization artificial neural network classification analysis model diagnosis Gingivitis disease Vicky Ariandi; Musli Yanto; Annisak Izzaty Jamhur; Firdaus Firdaus; Riandana Afira
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 3: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i3.pp1648-1656

Abstract

Gingivitis is a disease that can be caused by the buildup of bacteria and plaque caused by leftover food. This disease can attack anyone, especially children who are not aware of maintaining dental and oral health. This study aims to build and optimize the classification analysis model for the diagnosis of Gingivitis. The classification analysis model was built using the artificial neural network (ANN) method which was optimized using fuzzy logic and the multiple linear regression (MRL) method. Optimization with fuzzy aims to develop a pattern of rules in the detection. The MRL method is also used as a process of measuring analysis patterns to ensure the analytical model presents maximum results. The results study indicate that the optimization of fuzzy and MRL methods provides excellent output. These results are based on the fuzzy output which can provide a pattern of 40 rules. The MRL method is can present the level of correlation of each analysis variable with a significant output having an average value of 94.2%. Based on the results of this study, the analysis model that is optimized with the fuzzy logic method and MRL contributes to maximizing the process of diagnosing Gingivitis.