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All Journal Journal of Informatics and Computer Science (JINACS) Modem : Jurnal Informatika dan Sains Teknologi Journal of Emerging Information Systems and Business Intelligence (JEISBI) Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
ARIES DWI INDRIYANTI, ARIES
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Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Library & Information Science

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Rancang Bangun Sistem Keputusan Penerimaan Siswa Baru MTsN 9 Jombang Dengan Metode Topsis Hartono, Sherly; Dwi Indriyanti, Aries; Bagus Pratama Putra, Dharma
Inovate Vol 6 No 2 (2022): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v6i2.3176

Abstract

This research was conducted to build a system.that facilitates the teacher and the student to registrants. The purpose of this research. is to design a new student decision support system which is based on the website to facilitate the acceptance of new students to be faster, efficient and effective and also obtain rapid results. In this research researchers use the method TOPSIS (Tecchnique For order preference by similarity to ideal solution). The TOPSIS is method provides ideal solution for the selection of alternatives with several criteria the TOPSIS method is also widely use to resolve problem on decision making practically completion of Multicriteria decision making, in the TOPSIS method there is a calculation of the distance between the ideal positive solution and the ideal negative solution so that it is increasingly supportive to get the calculation with good results.The results. of the study are. obtain a degree of accuracy calculations of the hundred percent. Keywords: Decision support system, TOPSIS, screening
PENERAPAN FUZZY TIME SERIES-MARKOV CHAIN UNTUK PENJADWALAN TANAM PADI BERDASARKAN PERAMALAN CURAH HUJAN DI MEGALUH Umi Rahmawati, Evis; Dwi Indriyanti, Aries; Heru Mujianto, Ahmad; Kistofer , Terdy
Inovate Vol 9 No 2 (2025): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i2.8871

Abstract

Extreme climate change poses a significant challenge for the agricultural sector, especially in determining the ideal rice yield. This research develops a web-based information system to optimize rice planting scheduling using the Fuzzy Time Series - Markov Chain method with human judgment. A case study was conducted in Megaluh, Jombang Regency, where the majority of participants are farmers. The developed system successfully provides rainfall predictions with a Mean Absolute Percentage Error (MAPE) of around 90.74% and recommends planting schedules that can reduce the risk of crop failure. The survey results conducted in January 2023 showed a rainfall of 507.21 mm, which falls into the high rainfall category. The aim of this research is to develop a web-based information system that can optimize rice planting scheduling using the Fuzzy Time Series - Markov Chain method, through the implementation of rainfall data in Megaluh District, Jombang Regency. The research methodology includes problem identification, literature review, data collection, system requirements analysis, system penetration, coding, and testing. Rainfall data from 2018 to 2022 is used to predict rainfall for the next two years, which is then used to recommend the ideal planting time for farmers. This research not only helps practitioners reduce the risk of crop failure due to weather uncertainty, but also introduces new concepts in information technology. Additionally, this system has the potential to be further developed and applied to other case studies for more accurate and optimal results. Keywords: Scheduling, Fuzzy Time series, Forecasting.
Co-Authors Aisha, Dita ANITA ANDRIANI, ANITA Bagus Pratama Putra, Dharma Bastian Nursyahputra, Andhika Chasanah, Nidhaul Faizah, Arbiati Hartono, Sherly Indana Lazulfa, Indana Irfanto, Feri Kistofer , Terdy Lailiyah, Ami mahmudi, imam Mujianto, Ahmad Heru Puspitasari, Refandah Rendy Harenza, Aderio Umi Rahmawati, Evis Uswatun Khasanah, Siti Valen Zidana Erlita Wiratsongko, Radityo