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All Journal Faktor Exacta Jurnal Sisfokom (Sistem Informasi dan Komputer) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Journal of Computer Networks, Architecture and High Performance Computing KLIK: Kajian Ilmiah Informatika dan Komputer Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan SIGMA: Information Technology Journal Journal of Practical Computer Science (JPCS) Jurnal Informatika Teknologi dan Sains (Jinteks) VIDHEAS: Jurnal Nasional Abdimas Multidisiplin SAINTEK
Wiyanto Wiyanto
Universitas Pelita Bangsa
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics

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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): Maret 2020
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.076 KB) | DOI: 10.37366/pelitatekno.v15i1.243

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.
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): September 2019
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v14i2.237

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.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN DEPARTEMEN TERBAIK DALAM PROGRAM 5R MENGGUNAKAN METODE AHP Wiyanto W
Jurnal Pelita Teknologi Vol 14 No 1 (2019): Maret 2019
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (555.97 KB) | DOI: 10.37366/pelitatekno.v14i1.221

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): Maret 2021
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.526 KB) | DOI: 10.37366/pelitatekno.v16i1.667

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.
Implementasi Sistem Pendukung Keputusan Untuk Pemilihan Objek Wisata Di Majalengka Menggunakan Metode Naive Bayes Wiyanto Wiyanto; Aida Ratnasari
Jurnal SIGMA Vol 9 No 4 (2019): Juni 2019
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (340.645 KB)

Abstract

This study aims to assist tourists in choosing tourist objects, one of the famous tourist objects in Indonesia is in Majalengka. There are 3 famous objects in Majalengka, namely Paragliding, Tirta Indah, and Muara Jaya Waterfall. To determine the right choice, three criteria are used, namely: distance from the city center, visitor rates, and visitor convenience facilities. To determine the right choice, the approach is to use a decision support system through the Naïve Bayes Algorithm method which is one of the applications of the Bayes theorem in classification, Naive Bayes is based on a simplifying assumption that attribute values ​​are conditional independent of each other if an output value is given. To make it easier for visitors to make the right choice, a simple application was made using the PHP and My SQL programming languages ​​from the results of data processing using the Naïve Bayes method. The results of the classification of distance, rates and visitor convenience, the underarm typed one of the tourist attractions in Majalengka, namely Tirta Indah tourism, "far" city center distance, "cheap" tourist rates, and "comfortable" facilities with a decision result of 0.024321 (Quite satisfied). Keywords : Decision Support System, Tourism Objects, Naive Bayes, PHP programming language and My SQL as Database
Penerapan Algoritma C4.5 Untuk Klasifikasi Kepuasan Pelanggan Jasa Vidio Shotting Garasi Potret Purbalingga Wiyanto Wiyanto; Anggit Prasetyo Utomo
Jurnal SIGMA Vol 9 No 4 (2019): Juni 2019
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (253.259 KB)

Abstract

At present there are many companies that set up businesses in the field of video shooting, one of which is the Purbalingga Portrait Garage. The increasingly fierce competition in today's business world requires employers to be quick and responsive in making decisions so that established companies can survive amid such situations and conditions. One method that can be used for this is the data mining algorithm C4.5 method. The advantages of using this decision tree classification model are that the results of the tree are simple and easy to understand. The learning and classification process is simple and fast. In general, the decision tree algorithm classification model has a high degree of accuracy. From the calculation of customer satisfaction data training data with C4.5 algorithm using training data with confusion matrix has a value that is accuracy of 90.00%, precision 86.98%, and recall 96.98% and ROC curve optimistic with excellent classification accuracy of 0.980. This shows that the results of this prediction can be used for new quality test data. From the analysis of training data obtained a decision tree that has 20 rule models that can be used as a reference in making satisfaction in portrait garage customers. Keywords : Satisfaction, Service, C4.5 Algorithm, Data mining, Decision Tree
Penerapan Algoritma C4.5 Untuk Klasifikasi Kepuasan Pelanggan Jasa Vidio Shotting Garasi Potret Purbalingga Wiyanto Wiyanto; Anggit Prasetyo Utomo
Jurnal SIGMA Vol 8 No 2 (2018): Maret 2018
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.527 KB)

Abstract

Abstrak Saat ini sudah banyak perusahaan yang merintis usaha di bidang pembuatan video salah satunya adalah Purbalingga Portrait Garage. Persaingan yang semakin ketat dalam dunia bisnis saat ini menuntut pengusaha untuk cepat dan tanggap dalam mengambil keputusan sehingga perusahaan yang sudah mapan dapat bertahan di tengah situasi dan kondisi yang demikian. Salah satu metode yang dapat digunakan untuk ini adalah metode algoritma data mining C4.5. Keuntungan menggunakan model klasifikasi pohon keputusan ini adalah hasil pohonnya sederhana dan mudah dipahami. Proses pembelajaran dan klasifikasi sederhana dan cepat. Secara umum model klasifikasi algoritma pohon keputusan memiliki tingkat akurasi yang tinggi. Dari hasil perhitungan data latih data kepuasan pelanggan dengan algoritma C4.5 menggunakan data latih dengan matriks konfusi memiliki nilai akurasi sebesar 90,00%, presisi 86,98%, dan recall 96,98% serta kurva KOP optimis dengan akurasi klasifikasi sangat baik sebesar 0,980. Hal ini menunjukkan bahwa hasil prediksi ini dapat digunakan untuk data uji kualitas baru. Dari hasil analisis data pelatihan diperoleh pohon keputusan yang memiliki 20 model rule yang dapat dijadikan acuan dalam melakukan pemenuhan kepuasan pada pelanggan bengkel portrait. Kata Kunci: Kepuasan, Layanan, Algoritma C4.5, Data mining, Pohon Keputusan
Perbandingan Algoritma Analytic Hierarchy Process Dan Algoritma Simple Additive Weighting Untuk Pemilihan Penerima Beasiswa Kepada Pelajar Yang Berprestasi Wiyanto Wiyanto; Irpan Aprian
Jurnal SIGMA Vol 9 No 1 (2018): September 2018
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.732 KB)

Abstract

Abstraksi Disetiap lembaga pendidikan tentunya banyak sekali beasiswa yang ditunjukan kepada para pelajar yang berprestasi, Didalam melakukan sebuah seleksi beasiswa pastinya akan mengalami kesulitan apabila tidak menggunakan suatu metode tertentu dalam penelitian ini penulis membandingan antara algoritma Analytic Hierarchy Process (AHP) dan Simple Additive Weighting (SAW) sehingga dapat di ketahui algoritma mana yang dapat memberikan akurasi yang paling tinggi, Dari penerapan kedua metode yang diterapkan yaitu metode AHP dan SAW dapat diketahui bahwa metode SAW lebih baik kinerjanya dibandingkan dengan metode AHP dalam penilaian pemberian beasiswa kepada pelajar yang berprestasi dimana nilai akhir mendekati nilai 1, dan setiap nilai pelajar akan berpengaruh terhadap penilaian, oleh karena itu penulis menyarankan agar melkukan penilaian pemberian beasiswa dengan menggunakan metode SAW. Kata kunci : beasiswa, Analytic Hierarchy Process, Simple Additive Weighting
IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN UNTUK MEMPREDIKSI KARYAWAN TELADAN MENGGUNAKAN METODE NAIVE BAYES Wiyanto Wiyanto; Fazri Muharam Anwar
Jurnal SIGMA Vol 10 No 1 (2019): Maret 2019
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.365 KB) | DOI: 10.37366/sigma.v10i1.480

Abstract

Every company always makes an assessment of its employees, but in this company it is still subjective in assessing it so that research is carried out aimed at predicting exemplary employees by implementing a decision support system to obtain objective predictions of exemplary employees with the Naive Bayes method using the absent, skill, kaizen assessment parameters teamwork and this parameter to get the criteria for exemplary employee status, good employees and poor employees. In this study using 100 training data and a test data was made with the criteria for absent value, skill, kaizen, teamwork by producing a prediction of the status of exemplary employees because it has the highest value with a value of 0.013 while for good employees 0 and poor employees is 0. Support system the decision to predict this exemplary employee using the Naive Bayes algorithm method can make it easier to obtain predictions of exemplary employees. Keywords: Decision Support System, Naive Bayes Method, Web Based
Implementasi Sistem Rekam Medis Pasien Menggunakan Pendekatan Customer Relationship Management (CRM) Wiyanto Wiyanto; Fajar Butsianto; Karsito Karsito
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 7, No 2 (2018): September
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (893.01 KB) | DOI: 10.32736/sisfokom.v7i2.558

Abstract

Information technology is rapidly developed in this century that impact to various aspects of the organization really need information technology to support the performance and everyday business processes. In health services, information technology is required to process and storage the patient medical records, so that the patient's medical record is well preserved, and competitive advantage can be obtained between patient and polyclinic. The application of Customer Relationship Management (CRM) approach can be developed by implementing information system of medical record history to get new patient and retain existing patient, improving relationship with patient and maintaining patient loyalty as well as supporting the company/organization to provide excellent service to customers in real time through the advantage of information technology. The aims of this research are to understand patient medical record by CRM approach and Unified Modeling Language (UML) for system design, system validation using Forum Group Discussion (FGD), and using software testing Model ISO 9126. The result of this research are Medical Record History Information System and the result of system validation with FGD is 100% accepted, the result of system test using Model ISO 9126 is good with success rate 82,86%, so it can give contribution to polyclinic.
Co-Authors Abdul Halim Anshor Agung Nugroho Ahmad Turmudi Zy Aida Ratnasari Alinda Nur Ismayani Anggit Prasetyo Utomo Annisa Saraswati Arif Siswandi Arif Tri Widiyatmoko Asep Saefulloh Butsianto, Sufajar Dicky Hermawan Edora Edora Fajar Butsianto Fazri Muharam Anwar Ida Abdul Gopar Irpan Aprian Jumi Saroh Hidayat Karsito Karsito Muhamad Adhi Mukti Muhammad Najmuddin Dwi Miharja Mutiara Ihdina Maulida Nawangsih, Ismasari Nurhidayanti, Nisa Priatna , Wowon Romli Salsa Fadhilah Sifa Fauziah Sugeng Budi Rahardjo Sulistyohati, Aprilia Toto Andri Gunawan Tri Ngudi Tri Ngudi Wiyatno Umilhuda U Winda Yulianti Zulita Setyaningsih