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Kab. jember,
Jawa timur
INDONESIA
INFORMAL: Informatics Journal
Published by Universitas Jember
ISSN : 2503250X     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 7 Documents
 1 
Search results for , issue "Vol 1 No 2 (2016): INFORMAL : Informatics Journal" : 7 Documents clear
Klasifikasi Pengidap Diabetes Pada Perempuan Menggunakan Penggabungan Metode Support Vector Machine dan K-Nearest Neighbour januar adi putra; afrizal laksita akbar
INFORMAL: Informatics Journal Vol 1 No 2 (2016): INFORMAL : Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

Diabetes Mellitus is a metabolic disease with characteristics of hyperglycemia that occurs due to abnormalities in insulin secretion, insulin action or both. The detection of diabetes mellitus disease  using the dataset Pima Indians had been done by various methods, one of which implementation methods is K-Neaarest Neighbor (KNN). One drawback of the KNN method is the determination of the optimal parameters k. Value of k that are too high will reduce the effect of noise on the classification, but makes the boundaries between each classification is becoming increasingly blurred, while the value of k that is too low will result in sample taking values ​​for the less and lead to reduced accuracy. For this study proposes the use of Support Vector Machine (SVM) as the optimal solution of k determination. In this study, we will implement the hybrid SVM-KNN method to be used as a method of classification of people with diabetes using the dataset "Pima indian". Experiments done by varying the parameter values ​​and the kernel used to see the value of the accuracy of the hybrid SVM-KNN method. Parameters that influence the value of C, tolerance, sigma, bias and the value of k on KNN. The highest average value of the accuracy obtained by using SVM-KNN is 92.00% and proved to be better than traditional SVM method average of the accuracy only 77.60% and KNN is 91%.
Preliminary Pages Antonius Cahya Prihandoko
INFORMAL: Informatics Journal Vol 1 No 2 (2016): INFORMAL : Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

Analisis Keterkaitan Penyakit Pasien pada Puskesmas Menggunakan Metode Association Rule karina auliasari; Yuli Susanti
INFORMAL: Informatics Journal Vol 1 No 2 (2016): INFORMAL : Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

The need for vigilance against the disease is an effort to reduce morbidity and prevalence of complications in diseases. Medical records of hospitalized patients in the many and varied Puskesmas can then be processed to analyze the pattern of disease that often affects people in the area around Puskesmas. Implementation of association rule method is expected to generate linkages between the rule of item combinations of diseaseThe data used in this research is an inpatient medical records of patients Brang Rea Puskesmas from January to June 2015. The system was developed using the programming language Visual Basic and Microsoft SQL Server 2008 as the database. Tests on the analysis modules generate output system of rules "if" "then" or "if" "it", rule or rule illness taken from the rules that exceed the value or the minimum support and minimum confidence. From the results of system testing conducted seen that the rules that can be used by the health center for analysis Brang Rea inpatients disease is a rule that has a value of minimum support and minimum confidence-value equals or exceeds the value specified by the administrator.
Rear Cover Antonius Cahya Prihandoko
INFORMAL: Informatics Journal Vol 1 No 2 (2016): INFORMAL : Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

Sistem Informasi Pengawasan Taman Kota Pada Dinas Pasar, Kebersihan Dan Pertamanan Kabupaten Aceh Utara Rozzi Kesuma Dinata
INFORMAL: Informatics Journal Vol 1 No 2 (2016): INFORMAL : Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

Penggunaan Teknologi Informasi di Dinas Pasar, Kebersihan dan Pertamanan Kabupaten Aceh Utara, memberikan dampak positif bagi kemajuan dinas tersebut.  Sistem komputerasi menciptakan suatu bagian yang sangat terpenting dari kemajuan teknologi dan kemudahaan komunikasi saat ini. Untuk itu penulis ingin mengembangkan kecanggihan sistem komputer yang dapat meringankan kerja dari Dinas Pasar, Kebersihan dan Pertamanan. Penulis merancang dan membuat sistem informasi pengawasan taman kota pada Dinas Pasar, Kebersihan dan Pertamanan Kabupaten Aceh Utara sesuai dengan kebutuhan yang diharapkan oleh dinas tersebut. Hasil yang diperoleh dari sistem ini sangat membantu dan mempermudah kinerja dari pegawai di dinas tersebut dalam memantau kondisi pasar dan kebersihan taman kota di Kabupaten Aceh Utara.  
A Fuzzy Control System for Temperature and Humidity Warehouse Control Nova El Maidah; Agfianto Eko Putra; Reza Pulungan
INFORMAL: Informatics Journal Vol 1 No 2 (2016): INFORMAL : Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

A control system is designed to control certain parameters in the system. The desired state maintained is called a steady state. Control actions however may perform something that makes the system experiences a state of overshoot before reaching the steady state. A fuzzy control system can be used to control the system to reach the steady state without overshoot. In this paper, a model of Mamdani's fuzzy inference process is proposed as the basis for this control. MIN operator is used for inference process if there is only one active rule, while MAX operator is used for composition of inferences if there are more than one active rule. A prototype of the fuzzy controller for temperature and humidity achieves an accuracy of 83.33% for temperature controller and an accuracy of 63.33% for humidity controller.
Kajian Penerapan Semi-Automated Evaluation Based on Similarity pada Investigasi Digital Image Forensics Astrid Lestari Tungadi; Erick Alfons Lisangan
INFORMAL: Informatics Journal Vol 1 No 2 (2016): INFORMAL : Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

Along with the development of information technology, is now widely available for image processing applications are easy to use. It has an impact on the process of manipulation and modification of the image to be more easily so it is quite difficult to determine the authenticity of an image. Image evaluation methods have been developed automatically. The weaknesses are irrelevant parts of the image will be processed so as not efficient in terms of processing time. User Role (semi-automatic) for assessing the relevance of an image section can be helpful in the evaluation method. Similarity-based approach, one of them using the Euclidean distance, either automatic or semi-automatic allows forensic computer analysis process becomes faster. Preparation of the ranking of the data that has similarities allows users to investigate the authenticity of the picture. In this paper tried to assess the implementation of semi-automatic evaluation of similarity based on a forensic image. In the method of analysis, there are two stages, namely the conduct of the evaluation results ranking image block that requires verification of the user so that the second stage is only relevant image blocks are analyzed automatically. The results showed that the use of semi-automatic evaluation methods based on computer forensic similarity not only be done on the data string but also the image data.

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