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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Ta´dib JURNAL ISTEK SMATIKA JOIN (Jurnal Online Informatika) ISTEK
Undang Syaripudin, Undang
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering

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Journal : JURNAL ISTEK

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PERANGKAT LUNAK BANTU PENGANALISAAN PENURUNAN MUTU AIR MELALUI TEKNIK CHLORINASI MENGGUNAKAN METODE LVQ (Studi Kasus PDAM Kabupaten Bekasi) Undang Syaripudin; Yogi Saputra
JURNAL ISTEK Vol 10, No 2 (2017): ISTEK
Publisher : JURNAL ISTEK

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Penelelitian bertujuan untuk mengetahui tingkat penurunan mutu air melalui teknnik chlorinasi yang menggunakan metode LVQ. Metode penelitian yang digunakan adalah metode survey. Subjek penelitian ini adalah sebuah capture air yang sudah melalui proses chlorinasi di PDAM. Hasil penelitian menunjukan baik ditinjau dari faktor internal maupun faktor eksternal, penganalisaan penurunan kualitas mutu air melalui 4 unsur mutu air CO (Na dan Mn), DO, COD, dan BOD, melalui teknik chlorinasi, dengan rerata nilai koofisien korelasi dengan mengambil 15 data uji citra air yaitu sebesar 73 % sistem berhasil menampilkan informasi yang benar.
STUDI KOMPARATIF PENERAPAN METODE HIERARCHICAL, K-MEANS DAN SELF ORGANIZING MAPS (SOM) CLUSTERING PADA BASIS DATA Undang Syaripudin; Ijang Badruzaman; Erwan Yani; Dede K; M. Ramdhani
JURNAL ISTEK Vol 7, No 1 (2013): ISTEK
Publisher : JURNAL ISTEK

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This study identifies the results of some test results clustering methods. The data set used in this test method Clustering. The third method of clustering based on these factors than the size of the data set and the extent of the cluster. The test results showed that the SOM algorithm produces better accuracy in classifying objects into matching groups. K-means algorithm is very good when using large data sets and compared with Hierarchical SOM algorithm. Hierarchical grouping and SOM showed good results when using small data sets compared to using k-means algorithm.
Co-Authors ALAWIYAH, RIZKA Anwar, Muhammad Afian Arief Fatchul Huda Ayu Puji Rahayu Cecep Nurul Alam Cecep Nurul Alam, Cecep Nurul Cepy Slamet Dede K Deden Suparman, Deden Devi Novitasari Erwan Yani Erwin Setiawan, Erwin Heryanto, Rafi Rai Ijang Badruzaman M. Ramdhani Mintarsih, Mimin Mohamad Erihadiana, Mohamad Mohamad Irfan Mohamad Irfan, Mohamad Muhammad Hamdani Muhammad Hamdani, Muhammad Nur Lukman Suhendar, Hilman Yana Aditia Gerhana, Yana Aditia Yogi Saputra