Undang Syaripudin, Undang
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Comparison of search algorithms in Javanese-Indonesian dictionary application Yana Aditia Gerhana; Nur Lukman; Arief Fatchul Huda; Cecep Nurul Alam; Undang Syaripudin; Devi Novitasari
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 5: October 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i5.14882

Abstract

This study aims to compare the performance of Boyer-Moore, Knuth morris pratt, and Horspool algorithms in searching for the meaning of words in the Java-Indonesian dictionary search application in terms of accuracy and processing time. Performance Testing is used to test the performance of algorithm implementations in applications. The test results show that the Boyer Moore and Knuth Morris Pratt algorithms have an accuracy rate of 100%, and the Horspool algorithm 85.3%. While the processing time, Knuth Morris Pratt algorithm has the highest average speed level of 25ms, Horspool 39.9 ms, while the average speed of the Boyer Moore algorithm is 44.2 ms. While the complexity test results, the Boyer Moore algorithm has an overall number of n 26n2, Knuth Morris Pratt and Horspool 20n2 each.
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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Abstract

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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Abstract

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.
Decision Support System for Employee Recruitment Using El Chinix Traduisant La Realite (Electre) And Weighted Product (WP) Mohamad Irfan; Undang Syaripudin; Cecep Nurul Alam; Muhammad Hamdani
JOIN (Jurnal Online Informatika) Vol 5 No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.606

Abstract

Management of human resources (HR) is important to achieve company goals. One of the activities in HR management is recruitment, selection, and training. Recruitment and selection are usually done not using a system so that the calculations are still done manually. But by processing data using the system can produce a decision in recommending prospective employees that can have a positive impact on the company. The company selection process is carried out through two stages: administrative selection and final selection in the form of psychological test assessment, interviews, ability tests and communication. The use of the Elimination Et Choix Traduisant La Realite (ELECTRE) method in the administrative selection stage and the Weighted Product (WP) method in the final selection stage is a new discovery made to get the best decision in accordance with the required criteria. By using this method the final results will be obtained namely the recommendation of several prospective employees who are fit to work in the company. The performance results of this system reach one hundred percent, the data from the system is in accordance with the expected calculation.