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All Journal Jurnal Teknologi Terapan Applied Technology and Computing Science Journal Infotekmesin Jurnal E-Komtek Journal of Innovation Information Technology and Application (JINITA) Madani : Indonesian Journal of Civil Society
Nur Wahyu Rahadi
Politeknik Negeri Cilacap
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mechanical Engineering Social Sciences

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Journal : Infotekmesin

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Sistem Informasi Industri Kecil Menengah Berbasis Sentra Menggunakan Metode Rapid Application Development Annas Setiawan Prabowo; Nur Wahyu Rahadi
Infotekmesin Vol 11, No 1 (2020): Infotekmesin: Januari 2020
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v11i1.100

Abstract

Domestic economic growth in Indonesia has increased by 5% per year in the four year period of the implementation of the RPJMN (2015-2018). The Department of Manpower and Industry of Cilacap district has had IKM data that have been recorded manually using books. The problem that occurs is the agency difficulty in finding data as well as difficulties in monitoring the development of turnover, production capacity, assets, as well as the number of workers that change very quickly. Based on these problems, it is necessary to create a center-based small and medium industry information system to manage small-based center industries. This research uses the Rapid Application Development (RAD) method. The results of this study are the existence of an information system that is able to manage data of small and medium industries based on centers, the ability to find data quickly, and the ability to monitor developments in terms of turnover, assets, production capacity and number of employees.
Metode Fuzzy Time Series Markov Chain Untuk Peramalan Curah Hujan Harian Laura Sari; Annisa Romadloni; Rostika Listyaningrum; Fadhilla Hazrina; Nur Wahyu Rahadi
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.2182

Abstract

Cilacap Regency has diverse topography and geographical conditions which cause this region to have rainfall that varies spatially and temporally; therefore, a forecasting method to overcome these uncertainties and fluctuations is needed. Fuzzy Time Series Markov Chain utilizes Fuzzy logic which provides flexibility in handling uncertain and unstructured data. Moreover, the addition of Markov chain elements that utilize Fuzzy logic concepts provides flexibility in handling data allowing the model to capture inter-time relationships and changes in system state that depend on previous states. Therefore, the research aims to see the suitability of the Fuzzy Time Series Markov Chain for predicting daily rainfall in Cilacap Regency. The method is suitable for predicting rainfall data for Cilacap Regency. The accuracy value in this study can be seen from the RMSE and SMAPE values ​​on the training data (in-sample), respectively, which are 58.76469 and 0.7227493. Meanwhile, the testing data (out sample) was 56.01818 and 0.7055117.
Co-Authors Andesita Prihantara Annas Setiawan Prabowo Annisa Romadloni Antonius Agung Hartono Aris Tjahyanto Cahya Vikasari Fadhilla Hazrina Isa Bahroni, Isa Laura Sari Linda Perdana Wanti Muhammad Nur Faiz Nur Wachid Adi Prasetya Prih Diantono Abda`u Qonita Fildzah Riyadi Purwanto Rostika Listyaningrum Wily Riezkiadi