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All Journal Batara Wisnu : Indonesian Journal of Community Services Jurnal Teknoif Teknik Informatika Institut Teknologi Padang
Fikri Zain Hidayatullah
STMIK YMI Tegal
Computer Science & IT Control & Systems Engineering Education

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Pelatihan Pembuatan Kemasan (Packaging) untuk Meningkatkan Pemasaran Produk UMKM di Kota Tegal Nugroho Adhi Santoso; Zainul Arif; Gunawan Gunawan; Anik Mutaqin; Fikri Zain Hidayatullah
Batara Wisnu : Indonesian Journal of Community Services Vol. 2 No. 2 (2022): Batara Wisnu | Mei - Agustus 2022
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/bw.v2i2.104

Abstract

In order to realize the characteristics of STMIK YMI TEGAL as a place for the formation of independent Bachelors and Bachelors and to realize the Vision and Mission of STMIK YMI TEGAL in terms of Independence and Entrepreneurship, the Center for Entrepreneurship, Independence and Incubator Institute for Research and Community Service (LPPM) synergizes the LPPM Entrepreneurship Development Program with various parties, including: Micro, Small and Medium Enterprises (UMKM) Tegal City. As a form of synergy, LPPM STMIK YMI TEGAL in collaboration with the National Madani Capital (PNM) held Product Packaging Design Training, in order to provide skills for the community through Tegal City SMEs
Penerapan Metode Association Rule Dan Algoritma Apriori Untuk Analisis Pola Frekuensi Tinggi Prediksi Curah Hujan Di Kota Tegal Gunawan; Wresti Andriani; Fikri Zain Hidayatullah
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 11 No 2 (2023): TEKNOIF OKTOBER 2023
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2023.V11.2.45-53

Abstract

Rainfall is a very important factor in daily life, especially in agriculture and water resources management. Accurate rainfall forecasts are essential to mitigate the impact of floods, droughts, and water shortages. This study aimed to predict rainfall in Tegal City using data on rainfall, temperature, humidity, and barometric pressure. Explore association rules to define relationships between elements to predict weather. Then, the data is processed using a priori algorithms to find patterns of relationships between variables in the data. The results showed that a priori algorithms can be used to find ways of association that can be used to predict rainfall in Tegal City. Based on the research results and discussions that have been carried out, it can be concluded that the Association Rule method using a priori algorithm can be applied quite well in rainfall forecasting simulations in Tegal City. Based on the analysis, it was found that some association rules have a lift ratio value greater than 1, thus indicating that these rules have a significant level of strength and can be relied upon as a guideline in forecasting rainfall in Tegal City. This method can help predict weather conditions and provide useful information for the public and authorities to decide on outdoor activities.
Co-Authors Anik Mutaqin Gunawan Gunawan Gunawan Nugroho Adhi Santoso Wresti Andriani Zainul Arif