Istri Sulistyowati
Universitas Widya Dharma

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Korelasi Nilai UAN, IP Tahun Pertama Terhadap Masa Studi Dengan Backpropagation Mariana Windarti; Istri Sulistyowati

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (623.055 KB) | DOI: 10.30700/jst.v9i2.430


Pada pendidikan tinggi prestasi akademik dapat dilihat dari nilai Indeks Prestasi Kumulatif (IPK) dan masa studi sedangkan pada pendidikan sekolah menengah ditunjukkan dengan nilai Ujian Akhir Nasional (UAN) atau Ujian Nasional (UN). Hubungan beberapa variabel seperti nilai UAN, IP dan masa studi dapat dinyatakan dengan mengukur tingkat korelasi menggunakan sejumlah data mahasiswa. Data yang digunakan dalam penelitian ini adalah data alumni program studi Teknik Informatika Universitas Widya Dharma Klaten dengan tahun lulus 2013-2017. Tujuan penelitian untuk mengukur tingkat korelasi antara atribut nilai UAN dan IP tahun pertama terhadap masa studi mahasiswa menggunakan metode jaringan syaraf tiruan backpropagation yang diterapkan pada perangkat lunak Matlab r2013a. Pada proses pelatihan jaringan, penelitian ini menghasilkan nilai MSE (Mean Square Error) sebesar 0.0051721 dan koefisien korelasi (R=0.56563). Sedang pada proses pengujian nilai MSE = 0.025073 dan R = -0.031142. Selain itu hasil ini membuktikan bahwa nilai UAN dan IPK tahun pertama memiliki korelasi negatif terhadap masa studi mahasiswa.Kata kunci — korelasi , data mining,  masa studi, backpropagation
Journal of Computer Science and Technology Vol 2 No 1 (2022): Mei 2022
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (699.189 KB) | DOI: 10.54840/jcstech.v2i1.32


Diabetes is a disease that causes death which is quite high in the world, even in Indonesia, this is indicated by the position of Indonesia with the highest number of diabetic patients, which is 7th out of 10 countries. Diabetes Mellitus is also a chronic disease that is a public health problem in Indonesia. By 2020, the number of diabetes attacks will reach 18 million. The increasing use of computer technology causes the rapid flow of information and communication from one place to another. One application of technology is an expert system. This expert system is used for early detection of the type of disease suffered by the patient based on the symptoms caused without having to go to the doctor. In this study, an expert system for diagnosing diabetes mellitus will be designed. The method used is the forward chaining inference method and Microsoft Visual FoxPro 9.0 software. The forward chaining method works by analyzing the facts obtained from the input based on the rules stored in the database to get a conclusion. This expert system for diagnosing diabetes mellitus is used by the community as a tool for early detection without having to consult directly with a doctor. The conclusion or solution obtained from this expert system is that the user is predicted to have diabetes or does not have mild or secondary diabetes along with the results of the diagnosis according to the solution provided by the system
A APLIKASI SISTEM PARKIR UNIVERSITAS WIDYA DHARMA KLATEN Hendro Joko Prasetyo; Mariana Windarti; Agustinus Suradi; Istri Sulistyowati
Journal of Computer Science and Technology Vol 2 No 2 (2022): November 2022
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54840/jcstech.v2i2.4


The parking management information system at Widya Dharma University Klaten is a form of parking information system to collect data and parking arrangements whose application plans will be used at Widya Dharma University Klaten. The purpose of this study is to create a parking system application that can later be used as a parking system aid which is computerized so that it is expected to be more efficient and have efficiency values ​​that can improve service quality and increase income. The research method uses direct observation, while also reading the literature or literature. In this study, namely the implementation of parking management with computerized data collection of vehicle numbers. Research materials and materials include data on parking locations, population of parking vehicles which include cars or motorbikes in the Widya Dharma University area. This design software uses Microsoft Visual Foxpro 9.0 application software, for database design using SQL Server 2000, Microsoft Office 2007 (Word, Excel, Powerpoint, Visio). The results of this study are a computerized Parking System Application which can later be used by Widya University Dharma Klaten so that it is expected to be able to produce information quickly, save time and also for prevention efforts against vehicle theft in the Widya Dharma Klaten University campus. In addition, it can be used to calculate how much rupiah is generated, if there is an activity such as a graduation ceremony, so that the distribution of results can be evenly distributed and there is no mutual suspicion between parking officers (security guards). Keywords: Parking Information System, Microsoft Visual Foxpro 9.0, SQL Server 2000