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All Journal Proceeding SENDI_U Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi
Rudi Hariyanto, Rudi
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Library & Information Science

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IMPLEMENTASI METODE AHP DALAM PEMILIHAN BIBIT PADI UNGGUL Hadikurniawati, Wiwien; Hariyanto, Rudi; Cahyono, Taufiq Dwi
Proceeding SENDI_U 2020: SEMINAR NASIONAL MULTI DISIPLIN ILMU DAN CALL FOR PAPERS
Publisher : Proceeding SENDI_U

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Abstract

Bidang pertanian semakin berkembang dengan banyaknya varietas padi yang bermunculan. Adanyabanyak pilihan ini membuat petani harus lebih pintar dan hati-hati dalam memilih jenis varietas padi yang sesuaidengan struktur tanah dan kondisi iklim lingkungan pertanian. Perlu dikembangkan sistem yang dapat membantupetani dalam memilih jenis varietas padi unggul sehingga kegagalan panen dapat diminimalisir. MetodeAnalytical Herarchy Process (AHP) diusulkan dalam penelitian ini untuk menentukan kriteria-kriteria pentingpada bermacam-macam varietas padi dan alternatif yang cocok dengan kondisi lingkungan lahan pertanian.Sistem Pendukung Keputusan ini dibuat untuk menyelesaikan permasalahan tersebut secara efektif dan efisien.Ada lima kriteria yang digunakan untuk menentukan rangking dari lima alternatif jenis varietas padi yangditawarkan
OPTIMIZING K-MEASN ALGORITHM USING PARTICLE SWARM OPTIMIZATION TO GROUP STUDENT LEARNING PROCESSES Hariyanto, Rudi; Sarwani, Mohammad Zoqi
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 6 No. 1 (2021)
Publisher : Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1208.578 KB) | DOI: 10.25139/inform.v6i1.3459

Abstract

In the implementation of learning, several factors affect the student learning process, including internal factors, external factors, and learning approach factors. For example, the physical and spiritual condition of students. Physiological aspects (body, eyes and ears and talents of students, student interests). External factors, for example, environmental conditions around students, family, teachers, community, friends) Thus, learning achievement is significant because educational institutions' success can be seen from how many students learning achievement. This research's first focus is to do student clustering based on their learning process using 11 parameters. Second, using the PSO algorithm to get maximum clustering results. The research data were obtained from vocational secondary education institutions in the city of Pasuruan. The data is obtained from the results of school reports and questionnaires as much as 100 student data. Data attributes include environmental features, social features, and related school features to group student data for learning data processing. From the classification results using the PSO method, the silhouette value is 0.97140754, very close. These results indicate that the PSO method can improve the K-Means clustering method's performance in the classification process of student learning interest. 
Co-Authors Mohammad Zoqi Sarwani, Mohammad Zoqi Taufiq Dwi Cahyono Wiwien Hadikurniawati