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Pelatihan Microsoft Word Dalam Meningkatkan SoftSkill Pada Siswa/i SMK AL-Ma'Mun Education Center (AMEC) Maulana Eka Prasetyo Maksum; Guruh Guniawan; Bayu Adi Prasetia; Muhamad Ihsan Daulay; Bayu Setiawan; Rafael Muhmad Gibran; Aida Fithrotun Nisa; Dian Tiara Devi; Raihana Mutiarawati; Syifa Khoirunnisa
Abdi Jurnal Publikasi Vol. 1 No. 3 (2023): Januari
Publisher : Abdi Jurnal Publikasi

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Abstract

Microsoft Office applications are very important to use in digital documenting, whether in the form of text, numbers and presentations. With the use that is increasingly in demand by various groups, both the office sector and the world of education. The development of Microsoft Office applications every year makes it difficult for students to follow its development. For this reason, training activities were made in the context of community service, which aims to increase knowledge and understanding of school students, especially vocational high schools (SMK) in using Microsoft Office, especially Microsoft Word which can be used or implemented in learning activities. With the training conducted they can use computers or laptops to do school work properly, such as writing papers or reports. Students gave a very positive response to the activities carried out and considered this activity very useful for the future.
The Penggunaan Sistem Pakar Dalam Mendiagnosis Penyakit Tanaman Padi Menggunakan Metode Fuzzy Logic Ridwan Al Husyairi; Bayu Setiawan; Rafael Muhamad Gibran fahrezi; Muhamad Aldi Septian; Perani Rosyani
TEKNOBIS : Jurnal Teknologi, Bisnis dan Pendidikan Vol. 1 No. 1 (2023): TEKNOBIS : Jurnal Teknologi, Bisnis dan Pendidikan
Publisher : Shofanah Media Berkah

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Abstract

This study describes the use of an expert system with the fuzzy logic method as a potential approach in diagnosing rice plant diseases. The aim is to improve the health and productivity of rice plants, as well as provide effective and efficient solutions for farmers. The basic concept of an expert system, the Fuzzy Logic method, and the implementation of an expert system in diagnosing diseases in rice plants are described in this study. Fuzzy methods are used to overcome complexity and ambiguity in the problem domain, model expert knowledge, and handle uncertain, incomplete, and ambiguous data. This expert system is expected to help rice farmers and related parties in identifying and treating diseases in rice plants, as well as increasing efficiency and service quality. The use of an expert system in diagnosing rice plant diseases with the Fuzzy Logic method can make a positive contribution in agriculture. This research is a valuable source of information for farmers, agricultural experts, and researchers interested in developing expert systems to support better growth and production of rice plants.