Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Profit: Jurnal Manajemen, Bisnis dan Akuntansi Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Nuris Sayyidatul Fatimah
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Klasifikasi Lahan Perkebunan Kelapa Sawit Pada Citra Foto Udara Menggunakan Metode Local Binary Pattern dan Klasifikasi SVM Triyunita Nur Hayati; Nuris Sayyidatul Fatimah; Lailatul Fitria; Soffiana Agustin
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 2 No. 3 (2024): Juli : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v1i3.1399

Abstract

Land classification for oil palm plantations is an important topic in agricultural and plantation development. In this research, the local binary pattern (LBP) method and support vector machine (SVM) classification were used to identify oil palm plantations from aerial photography images. The main challenge in this process is accurately distinguishing oil palm fields and forests that have similar patterns and colors in satellite images. The LBP method is used to extract important texture features from images, while SVM is used to build a classification model based on these features. The test results show that using this method provides an accuracy value of 83.33% in the classification of oil palm land images. The development of oil palm plantations in Indonesia is becoming increasingly important as investment prospects strengthen. This research helps develop image classification technology to support the agricultural industry.
Prediksi Persediaan Galon dan Gas Pada Toko Mu’afah Menggunakan Metode Weighted Moving Average Lailatul Fitria; Nuris Sayyidatul Fatimah; Triyunita Nur Hayati; Soffiana Agustin
Profit: Jurnal Manajemen, Bisnis dan Akuntansi Vol. 3 No. 3 (2024): Agustus : Profit: Jurnal Manajemen, Bisnis dan Akuntansi
Publisher : UNIVERSITAS MARITIM AMNI SEMARANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/profit.v3i3.2171

Abstract

Indonesian people are very dependent on bottled mineral water resources (gallons) and LPG gas for their daily needs. The dependence on these two resources provides a great opportunity for business people to sell gallons and LPG gas. Mu’afah shop is a basic food store that provides all household needs for daily use, one of the needs sold is gallons and lpg gas. Sales of gallons and lpg gas are erratic in this store, sometimes in a day the sales are very high but it can also be that in a day there is no single sale. This makes the seller unable to ensure the right time to restock goods. This research is qualitative using the weight moving average method with mu’afah shops as research material. Based on the test results using the Weighted Moving Average method, it shows that the method runs well as expected. This can be proven by the calculation of MAD of 1.195 (gallons) and 0.792 (gas), MSE of 0.72 (gallons) and 0.34 (gas), and MAPE of 37.08 (gallons) and 33.2 (gas). So that the accuracy of test results can also be considered quite good.
Co-Authors LAILATUL FITRIA Soffiana Agustin, Soffiana Triyunita Nur Hayati