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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 6 Documents
 1 
Search results for , issue "Vol 3 No 2 (2018): INFORMAL - Informatics Journal" : 6 Documents clear
Sistem Pakar Untuk Menentukan Status Pertumbuhan Pada Anak Menggunakan Inferensi Fuzzy (Sugeno) Emi Agustina; Agus Sidiq Purnomo
INFORMAL: Informatics Journal Vol 3 No 2 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v3i2.9991

Abstract

The detection of child growth should be done as early and as accurately as possible, so that if there is a deviation of child growth can be known earlier and can be found a solution to the deviation. In the examination of children who performed in pharmacies depok sleman pengelolahan data inspection done manually so that data is not well recorded, it causes the data is lost and not clear. For that we need a system capable of data menguin so as to minimize the things that are not desirable. In this study, the researchers aimed to create an expert system that gives an idea of the growth in children with fuzzy logic motede which requires several variables, namely age, height, gender and weight which will be taken z-score weight and z- Score height. Based on the test result which has been done with 85 examination data of children, it can be concluded that the implementation of fuzzy sugeno method can be used as a determination of the status of the child's growth with total accuracy of 81.18%.
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INFORMAL: Informatics Journal Vol 3 No 2 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perbandingan Metode Analytical Hierarchy Process (AHP) dan Himpunan Keanggotaan Fuzzy pada Penilaian Kinerja Dosen Noni Namida Oliviani; Haris Rafi; Mochammad Febri Hariyadi; Nova El Maidah
INFORMAL: Informatics Journal Vol 3 No 2 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v3i2.9985

Abstract

Utilization of artificial intelligence has been imposed into many things, one of them on the assessment of lecturer's performance, one of them on the lecturer's performance assessment. Artificial intelligence can help and facilitate a person to solve a particular problem. In general, the purpose of lecturer performance assessment is to determine the best lecturer's order through predetermined criteria. Decision Making Method (AHP) and Function Membership Fuzzy is a method often used to determine lecturer performance assessment. There is a method that is a form of calculation whose output is the value of several lecturers who entered the assessment list. The purpose of the comparison is to know which artificial intelligence method is best applied to the lecturer's performance assessment. The method used to test the artificial intelligence applied to the lecturer's performance assessment is to use a comparison scenario. Based on the analysis that has been done, the result that artificial intelligence using AHP method and Membership Sets Fuzzy have balanced result. Based on the document can be concluded that in this study AHP method is a superior method in terms of accuracy, while the Fuzzy method is superior in terms of effectiveness.
Penerapan Metode Steepest Ascent Hill Climb pada Permainan Puzzle Hairul Anam; Feby Sabilhul Hanafi; Ahmad Fauzal Adifia; Ahmad Firdaus Ababil; Saiful Bukhori
INFORMAL: Informatics Journal Vol 3 No 2 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v3i2.9987

Abstract

Puzzle is one example of the application of artificial intelligence, in the process of completion there are many search algorithms that can be applied. The 8 puzzle solution will be faster obtained if the array principle is used with a variation of the Steepest-Ascent Hill Climbing (Hill Climbing algorithm by choosing the sharpest / steepest slope) with the correct heuristic parameters and distance heuristics and combined with LogList as the storage state ever passed to overcome the problems in the hill climbing algorithm itself and avoid the looping state that has been passed. Steepest Ascent Hill Climbing is an algorithm method that is widely used for optimization problems. The application of the SAHC (Steepest Ascent Hill Climbing) Algorithm to the puzzle is needed so that the game is completed with optimal time.
Traitor Tracing Schemes: a Review Antonius Cahya Prihandoko
INFORMAL: Informatics Journal Vol 3 No 2 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v3i2.9988

Abstract

This paper provides a review on traitor tracing schemes that are developed to counter piracy strategies. The review starts with a formal definition of the traitor tracing schemes. The paper is then outlined based on two main strategies which may taken by digital content pirates. Mostly the pirates have strategy to make use leaked decryption key or leaked decrypted content. For each piracy strategy, we presents traitor tracing schemes that can be used to counter the piracy. We also analysis strength and weakness of each group of the schemes. At the end of this paper, we propose to combine some schemes for better protection.
Sistem Prediksi Jumlah Permintaan Produk Darah Menggunakan Metode Least Square Regression Line (Studi Kasus : Utd Pmi Kabupaten Jombang) Dzurrotun Nasyika; Slamin Slamin; Priza Pandunata
INFORMAL: Informatics Journal Vol 3 No 2 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v3i2.9989

Abstract

Blood Transfusion Unit (UTD) as the provider of blood supply is required to fulfill blood demand. However in reality, the blood stock does not always meet the demand for blood. The amount of blood group stock in UTD depends on blood donors who voluntarily donate blood. Red blood cells only have a life span of 35 days since they were donated, if they have passed that time the blood cannot be used for transfusion. Based on these problems, the authors applied the Lesat Square Regression Line method to predict the number of requests for blood products in the coming month. The calculation results obtained prediction of demand with the smallest MAPE value that is blood product of PRC blood type A with a value of 14.40%. The biggest MAPE value obtained is 180.66% for WB blood type AB. Factors or parameters that affect the amount of blood product demand, that is the environment, disease outbreaks and differences in body resistance of each blood group. In addition, the types of blood products also have a number of different requests depending on the level of blood needs for health.

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