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All Journal World Chemical Engineering Journal Teknika: Jurnal Sains dan Teknologi
Oktarisa, Yuvita
Universitas Sultan Ageng Tirtayasa
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Hierarchical clustering algorithm-dendogram using Euclidean and Manhattan distance Mukhtar, Mukhtar; Majahar Ali, Majid Khan; Arina, Faula; Wicaksono, Agung Satrio; Ikhsan, Aulia; Budiaji, Weksi; Abdullah, Syarif; Pertiwi, Dinda Dwi Anugrah; Zidny, Robby; Oktarisa, Yuvita; Sukarna, Royan Habibie
Jurnal Teknika Vol 20, No 1 (2024): Available Online in June 2024
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjst.v20i1.23187

Abstract

This paper presents the outcomes of a research experiment on the drying process of seaweed. There are numerous approaches to clustering data, such as partitioning and the Hierarchical Clustering Algorithm (HCA). The HCA has been implemented in binary tree structures to visualize data clustering. We conducted a comparative analysis of the four primary methodologies utilized in HCA, namely: 1) single linkage, 2) complete linkage, 3) average linkage, and 4) Ward's linkage. Clustering validation is widely recognized as a crucial issue that significantly impacts the effectiveness of clustering algorithms. Clustering validation can be identified, such as internal and external validation. Internal clustering validation, in particular, holds significant importance in the realm of data science. With this article, the main goal is to do an empirical evaluation of the traits that a representative set of internal clustering validation indices, namely Connectivity, Dunn, and Silhouette, show. In this paper, the HCA applies two distance functions between Euclidean and Manhattan distances to analyze the entanglement function and internal validity.
Sensors and Mini Photocatalytic Reactor as a Tool for Measure CO2 Gas from the Degradation of the Detergent Active Compound Maryani, Yeyen; Ruhiat, Yayat; Oktarisa, Yuvita
World Chemical Engineering Journal VOLUME 5 NO. 2 DECEMBER 2021
Publisher : Chemical Engineering Department, Engineering Faculty, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/wcej.v5i2.12289

Abstract

This study aims to test the performance and feasibility of new tools and methods for analysis of detergent based on the photocatalytic degradation of LAS and ABS, which is a detergent active compound. Testing is done by measuring the CO2 gas formed from the degradation at every one-hour for five hours of reaction. The results of the determination of analytical parameters are as follows, sensitivity: 0.394 to 0.460, the limit of detection: 0.16 mg/L, accuracy: 0.94% to 12.88% and punctilio: 0.12% to 0.14%, the range of linearity: 0.4 mg/L to 2 mg/L. Results of calibration using standard solutions obtained regression equation y = 1.033 x - 77.713 with R2 = 0.988, indicating that the instrument has been calibrated and fit for use for the analysis of LAS and ABS with concentrations above or equal to 25 mg/L. The test results showed that the developed method is practical, effective and efficient.
Co-Authors Arina, Faula Budiaji, Weksi Ikhsan, Aulia Majahar Ali, Majid Khan Maryani, Yeyen Mukhtar, Mukhtar Pertiwi, Dinda Dwi Anugrah Robby Zidny Ruhiat, Yayat Sukarna, Royan Habibie Syarif Abdullah Wicaksono, Agung Satrio