Clustering Lokasi Pengujian Kualitas Air PT Air Minum Giri Menang (Perseroda) Sebagai Bentuk Evaluasi Perusahaan Menggunakan Self Organizing Maps (SOM)

Farady, M. Difa (2024) Clustering Lokasi Pengujian Kualitas Air PT Air Minum Giri Menang (Perseroda) Sebagai Bentuk Evaluasi Perusahaan Menggunakan Self Organizing Maps (SOM). Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5003201002-Undergraduate_Thesis .pdf - Accepted Version Restricted to Repository staff only until 1 October 2026. Download (2MB) | Request a copy

Abstract

Terjadi penurunan sampel yang MSAM dari pengawasan internal pada tahun 2022 dan 2021. Maka dari itu, dilakukan clustering berdasarkan lokasi pengujian kualitas air PT Air Minum Giri Menang (Perseroda) menggunakan Self Organizing Maps (SOM). Data kualitas air yang digunakan melibatkan lima parameter, yaitu kekeruhan, pH, besi, nitrit, dan suhu yang diambil dari 60 lokasi pengujian. Karakteristik data hasil pengujian di 60 lokasi menunjukkan kualitas air yang sangat baik. Sebelum melakukan clustering, terdeteksi beberapa outlier dan outlier yang paling ekstrim adalah lokasi Ireng yang berada di kelurahan/desa Jatisela. Lokasi tersebut outlier paling ektrim karena memiliki kekeruhan dan pH yang mendekati batas spesifikasi, yaitu kekeruhan sebesar 4,95 NTU dan pH 8, 41. Hasil clustering terbaik adalah dengan menghapus satu outlier dan membentuk dua klaster dengan hasil evaluasi nilai silhouette coefficient 0,668 dengan kategori klaster layak atau sesuai. Dilakukan pengujian multivariat normal yang menghasilkan sampel tidak berdistribusi normal multivariat, sehingga dilakukan pengujian nonparametrik Kruskal-Wallis. Berdasarkan hasil pengujian Kruskal- Wallis diperoleh hasil terdapat perbedaan yang signifikan antara klaster 1 dan klaster 2, serta variabel yang berbeda signifikan antara klaster 1 dan klaster 2 adalah kekeruhan dan besi. Klaster 2 cenderung memiliki kualitas yang lebih baik dibanding klaster 1. Tingkat kekeruhan dan kandungan besi di klaster 1 cenderung lebih tinggi dibanding klaster 2, namun masih dalam batas spesifikasi yang aman. Perusahaan perlu meningkatkan pemantauan dan pengendalian kualitas di lokasi-lokasi dengan nilai di beberapa parameter mendekati batas spesifikasi agar dapat mempertahankan dan terus meningkatkan kualitas air yang diberikan pada masyarakat.
==============================================================================================================================
There was a decline in MSAM samples from internal monitoring in 2022 and 2021. Therefore, clustering was performed based on the water quality testing locations of PT Air Minum Giri Menang (Perseroda) using Self Organizing Maps (SOM). The water quality data used involved five parameters: turbidity, pH, iron, nitrite, and temperature, taken from 60 testing locations. The data characteristics from the 60 locations showed very good water quality. Before clustering, several outliers were detected, with the most extreme outlier being the Ireng location in the village of Jatisela. This location is the most extreme outlier because it has turbidity and pH levels close to the specification limits, with turbidity at 4.95 NTU and pH at 8.41. The best clustering result was obtained by removing one outlier and forming two clusters, with the evaluation result showing a silhouette coefficient of 0.668, indicating the clusters were acceptable or appropriate. A multivariate normality test was conducted, showing that the samples were not normally distributed multivariately, thus a nonparametric Kruskal- Wallis test was performed. Based on the Kruskal-Wallis test results, it was found that there was a significant difference between cluster 1 and cluster 2, and the variables that differed significantly between the clusters were turbidity and iron. Cluster 2 tends to have better quality compared to cluster 1. The turbidity and iron content in cluster 1 are generally higher than in cluster 2 but still within safe specification limits. The company needs to enhance monitoring and quality control at locations with parameter values approaching specification limits to maintain and continuously improve the water quality provided to the public.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Clustering, Kualitas Air, PT Air Minum Giri Menang, Self Organizing Maps, Water Quality
Subjects:	Q Science > QA Mathematics > QA278.55 Cluster analysis
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	FARADY M. DIFA
Date Deposited:	19 Aug 2024 05:29
Last Modified:	19 Aug 2024 05:29
URI:	http://repository.its.ac.id/id/eprint/115009

Actions (login required)

View Item