Article Per Year (5 Year)
p-Index From 2019 - 2024
1.376
P-Index
This Author published in this journals
All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Ilmiah Mahasiswa Ekonomi Pembangunan Jurnal Perempuan Jurnal Perempuan Jurnal Bidang Ilmu Kesehatan Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas) Jurnal Untuk Masyarakat Sehat (JUKMAS)
Fitria Sari
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

 1 
Aplikasi Model Adative Neuro Fuzzy Inference System Untuk Peramalan Pasang Surut Di Air Laut (Studi Kasus Pelabuhan Tanjung Buton Siak) Sari, Fitria; Hendri, Andy; Suprayogi, Imam
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 2, No 1 (2015): Wisuda Februari Tahun 2015
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Previous researchers have much success using the model Adaptive Neuro Fuzzy Inference System (ANFIS) as a forecasting model for hydrological analysis. Reliability of ANFIS models need to be tested, especially to farecast of the tidal. In this research, ANFIS models which built using data tidal observations in Tanjung Buton (2004). The result of tidal forecasting by using ANFIS models show excellent results with value the test statistic parameters of the correlation coefficient (R) more than 0.87 that is in category of very strong correlation, statistic parameters of RMSE (root mean square error) 0.445 m, and the test parameters of the average valuation relative error by 11,8%. In comparison the tidal forcasting results used ANFIS models with tidal forcasting results used the Admiralty method, values of the parameter test by mean relative error used ANFIS model is smaller with value of 11.8%, while values of the parameter test by mean relative error used Admiralty method is larger that is 22.4%. Keywords: hydrological analysis, tidal forecasting, softcomputing, ANFIS.
Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Dengan Metode Weighted Product Fitria Sari; Noveri Lysbetti Marpaung
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 2 Juli s/d Desember 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

School is one of the facilities that used for studying. All of teachers in that school do an assessment for students, this assessment has the function for measuring the extent of student achievement f or one semester in teaching and learning process at SMP Smart Indonesia Pekanbaru. The aspects that assessed are Academic and Non Academic Aspects. Academic Aspects which is include of Main Subjects and Muatan Lokal Subjects, then Non-Academic aspects which is includes of students’ Creativity, Students’Attitudes, and Students’ Absent. The selection of students’ achievement at SMP Smart Indonesia is still done manually and relatively take a long time. So far the selection of students’ achievement has only been determined by based on the Academic Assessment Aspects. So that in selecting of students’ acievement can be done quickly, precisely, fairly and able to combine about Academic and Non-Academic Apects, the researchers built a Decision Support System for Student Achievement Selection with the Weighted Product Method. Weighted Product Method is a decision making method that uses multiplication to link attribute ratings, where the rating of each attribute must be raised first with the weight of the attribute in question. By using this system, it can be easier for the school to select students’ achievement. To create a system that aims to select high-achieving students, the researchers took a data collection process that included do an observation with the SMP Smart Indonesia directly, interviews with the Principal, and gave a questionnaire to the teachers in the SMP Smart Indonesia. The calculation results obtained from the system built, which compared with the manual calculation results Weighted Product Method has a value of 100% conformity calculation calculation. Testing the use of this system was also carried out by the school with the results of the assessment percentage of 93.74%, obtained from the accumulation of observations, interviews and questionnaires given to six respondents. These respondents consisted of all teachers at SMP Smart Indonesia. So, it can be concluded that the Achievement Student Support Decision Support System with the Weighted Product Method is feasible to be used in the SMP Smart Indonesia Pekanbaru environment Keywords : Decision Support System, Student Achievement, Weighted Product, SMP Smart Indonesia..
Co-Authors Andy Hendri, Andy Asyifa Robiatul A Endang Siti M Firdaus Yusrizal Imam Suprayogi kusmayra Ambarwati Lula Winona Mariaty Ibrahim Maulidi Maulidi Miftahul Jannah Noveri Lysbetti Marpaung Nurhajati Ansori Mattjik Rini Susana Taufiq C Dawood