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Journal : Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan

A IMPLEMENTASI TERM FREQUENCY – INVERSE DOCUMENT FREQUENCY (TF-IDF) DAN VECTOR SPACE MODEL (VSM) UNTUK PENCARIAN BERITA BAHASA INDONESIA Wiyanto W; Wowon Priatna; Jumi Saroh Hidayat
Jurnal Pelita Teknologi Vol 14 No 2 (2019): Pelita Teknologi: Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

A search engine that already exists and widely used today can be provide the result of information very much, so it takes time to sort through the information in need. The research with the title "The “implementation term frequency-inverse document frequency (TF-IDF) and vector space model (VSM) to search a news of Indonesian language” have a purpose to develop the method of quick search uses TF-IDF method and vector space model. There are two main processes in the search system of news that are indexing and retrieval. The process of indexing is a process to give assessment to the words on document, the method of assessment in this research uses an assessment of method TF-IDF. The process of retrieval is a process of calculating the slope of the query against the document, the calculation of the similarity using concept vector space model by finding the value of cosine similarity. Based on the analysis and implementation in the build of search system in the news. The quick method of search can be built using vector space model. The system build by this method of vector is able to display a results of search that relevant accordance with the query in the user input. Keywords: term frequency - inverse document frequency, vector space model, search a news of Indonesian language, indexing, retrieval.
ANALISA TINGKAT KEPUASAN PELANGGAN TERHADAP PELAYANAN PERUSAHAAN OTOBUS XYZ MENGGUNAKAN METODE NAÏVE BAYES Wiyanto W; Tri Ngudi; Asep Saefulloh
Jurnal Pelita Teknologi Vol 15 No 1 (2020): Pelita Teknologi: Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

The inter-city public transport competition between provinces encourages otobus companies to require maximum service quality for customer satisfaction. PO. XYZ is one of the otobus companies that is interested in the people of Central Java and East Java in general to the capital city of Jakarta and surrounding areas, but the level of customer satisfaction for the services provided has not been well predicted. Therefore we need an analysis of the level of satisfaction with the services provided. From these considerations, the authors use the Naïve Bayes method to analyze customer satisfaction with customer satisfaction PO. XYZ. The test uses Rapidminer 9.1, and is implemented into a web-based system to make it easier to determine the level of customer satisfaction. Based on the results of the analysis obtained in the research conducted applying the Naïve Bayes method for prediction of customer satisfaction with services from PO. XYZ It can be concluded that, the Naïve Bayes Method is used by using training data to obtain the probability of each criterion for different classes, then the values ​​of these criteria can be optimized to predict new customer satisfaction, namely by testing the data. From the results of tests that have been done, get a high level of accuracy that is equal to 94.00%. Keywords: Customer Satisfaction, Data Mining, Naïve Bayes, Data Training, Data Testing, Rapidminer.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN DEPARTEMEN TERBAIK DALAM PROGRAM 5R MENGGUNAKAN METODE AHP Wiyanto W
Jurnal Pelita Teknologi Vol 14 No 1 (2019): Pelita Teknologi: Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

The implementation of a quality management system is inseparable from the work culture of the company concerned. The better the work culture of the organization, the more effective the ISO 9001 quality management system is implemented. As with the health and safety management system or commonly called OHSAS 18001 K3 management, and the ISO 14001 environmental management system it cannot be separated from the application of work culture 5R. If the implementation of the 5R culture goes well, the quality management system, K3 system and environmental management system will certainly have a good effect on its implementation. PT. Kayu Permata has a 5R program which is held regularly every Friday of the week. In the process of determining the best department, it can also be done using a decision support system by calculating the Analytical Hierarchy Process (AHP) method so that selection can be done quickly, precisely and accurately. Keywords: 5R Program,K3 System, AHP Method, ISO.
Penerapan Sistem Pakar Berbasis Android Dengan Metode Decision Tree Untuk Memprediksi Postpartum Haemorrhage Pada Wanita Hamil Wiyanto W; Mutiara Ihdina Maulida; Sifa Fauziah
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Pelita Teknologi: Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Postpartum haemorrhage factor is a contributor to the Maternal Mortality Rate (MMR) 19.7% in the range 12.9 - 28.9 with 480,000 deaths worldwide and 479,000 from developing countries such as Indonesia. In Indonesia the MMR is 305/100,000 Live Births (LB) of the Millennium Development Goals (MDGs) target of only 102/100,000 LB. To achieve the MDGs target, the MMR needs to be lowered, then formulated the problem of how to make an Android-based expert system using the decision tree method so that it can predict Postpartum Haemorrhage from an early age. With the aim of being able to produce an Android-based expert system to predict Postpartum Haemorrhage, so that cases of death caused by Postpartum Haemorrhage receive medical attention from an early age. The expert system makes predictions from logic in an Android-based program using the SDLC structured design system design method and a parallel development model. This logic has gone through the process of classifying a dataset using the Decision Tree method manually and using Rapid Miner. The Decision Tree logic produces three statements of PPH, NO PPH and Potential PPH which are entered using the Java programming language on Android to become an expert system. Pregnant women with predicted PPH and Potential PPH from the expert system can consult a doctor to get the medical personnel they need early to prevent maternal death caused by Postpartum Haemorrhage.