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All Journal Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Reyka Luna Karalo
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering

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Implementasi Metode Regresi Linear Dalam Prediksi Harga Cabai Keriting Di Kota Samarinda Lidya Sari; Novia Hidayati Ramadhani; Reyka Luna Karalo; Wawan Joko Pranoto
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 2 No. 1 (2024): Januari : 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.v2i1.682

Abstract

Chili is a popular vegetable in Indonesia, often used as a spice in various local dishes. The surge in demand before major celebrations, coupled with unpredictable weather, can impact chili production and lead to price fluctuations. Predicting prices becomes crucial to anticipate market changes and maintain economic stability in Indonesia. This study aims to predict the prices of curly red chili in Samarinda City in 2024 using the Linear Regression method. The data, sourced from the last three years (January 2021 to November 2023) via Lamin Etam's website, underwent processing with RapidMiner. Analysis using Root Mean Squared Error (RMSE) indicates an accuracy level of 240.487+/-, signifying a relatively large margin of error. These results underscore the importance of adding data attributes to enhance the accuracy of curly red chili price predictions in Samarinda City.
Analisis Sistem Pendukung Keputusan Menggunakan Algoritma AHP Dan Topsis Untuk Menentukan Mahasiswa Lulusan Terbaik Mukminatul Munawaroh; Hamada Zein; Fajri Harits Muzaki; Febri Ananda Chairi; Lidya Sari; Bobi Zinaidin Zidan; Muhammad Aditya Pratama; Novia Hidayati Ramadhani; Reyka Luna Karalo; Ririn Wahyuni
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 1 (2024): Januari : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i1.37

Abstract

This research examines the application of the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods in determining the best graduate students in the Ners Professional Study Program at Muhammadiyah University of East Kalimantan. The third step of the AHP method involves converting the values in the pairwise comparison matrix to decimal form, which is then normalized to calculate the priority weight of each criterion and sub-criteria. Next, checking the logic of the criteria and designing AHP-TOPSIS for ranking were carried out. The analysis showed that AHP resulted in 5 ranking changes with a percentage change of 4.4%, while TOPSIS resulted in 3 ranking changes with a percentage change of 3.9%. From these results, the AHP-TOPSIS method proved to have an accuracy of 83.00%. This article also presents a comparison between AHP, TOPSIS, and AHP-TOPSIS methods, where the best student selected is Dinda Ayu Framaisella. This research provides practical guidance for decision makers in solving multi-criteria problems and contributes to the selection of the best graduate students with a comprehensive and accurate approach.
Co-Authors Bobi Zinaidin Zidan Fajri Harits Muzaki Febri Ananda Chairi Hamada Zein Lidya Sari Muhammad Aditya Pratama Mukminatul Munawaroh Novia Hidayati Ramadhani Ririn Wahyuni Wawan Joko Pranoto