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All Journal Jurnal Ilmiah Teknik Industri Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika
Ananda, Ridho
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Computer Science & IT Industrial & Manufacturing Engineering

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SILHOUETTE DENSITY CANOPY K-MEANS FOR MAPPING THE QUALITY OF EDUCATION BASED ON THE RESULTS OF THE 2019 NATIONAL EXAM IN BANYUMAS REGENCY Ananda, Ridho
Khazanah Informatika Vol. 5 No. 2 December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v5i2.8375

Abstract

Mapping the quality of education units is needed by stakeholders in education. To do this, clustering is considered as one of the methods that can be applied. K-means is a popular algorithm in the clustering method. In its process, K-means requires initial centroids randomly. Some scientists have proposed algorithms to determine the number of initial centroids and their location, one of which is density canopy (DC) algorithm. In the process, DC forms centroids based on the number of neighbors. This study proposes additional Silhouette criteria for DC algorithm. The development of DC is called Silhouette Density Canopy (SDC). SDC K-means (SDCKM) is applied to map the quality of education units and is compared with DC K-means (DCKM) and K-means (KM). The data used in this study originated from the 2019 senior high school national examination dataset of natural science, social science, and language programs in the Banyumas Regency. The results of the study revealed that clustering through SDKCM was better than DCKM and KM, but it took more time in the process. Mapping the quality of education with SDKCM formed three clusters for social science and natural science datasets and two clusters for language program dataset. Schools included in cluster 2 had a better quality of education compared to other schools.
Analysis of Postponement Practice in Cement Supply Chain: A Case Study Romadlon, Fauzan; Kurniawan, Hadi; Ananda, Ridho
Jurnal Ilmiah Teknik Industri Vol. 19, No. 02, December 2020
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v19i2.11343

Abstract

This research focuses on assessing implementing postponement in a cement industry especially for OPC (Ordinary Portland Cement) in Indonesia. The company offers three postponement points; Ciawi and Kampung Rambutan, and Jatiwarna. This research has been done with observational method to map customer condition. Moreover, implementing linear programming model is used to gain optimal solution for allocated truck. The results are, highest proportion of OPC customer is in Jakarta, followed Karawang, and Bogor. The result from linear programming model simulation, Ciawi point is assigned to serve Jakarta and Bogor’ customers, Kampung Rambutan point is assigned for Jakarta and Kawarang’ customers, and Jatiwarna point is prepared for Jakarta, Karawang, Bekasi, Lampung, Pekalongan, Tangerang, and Serang’ customers. So, implementing postponement can increase customer satisfaction without adding higher cost such as investment cost. The cement industry encounter effectiveness and responsiveness even tough, some problem shall be taken such as double administration process (manual and computerized).
Co-Authors Fauzan Romadlon Hadi Kurniawan, Hadi