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Kab. jember,
Jawa timur
INDONESIA
INFORMAL: Informatics Journal
Published by Universitas Jember
ISSN : 2503250X     EISSN : -     DOI : -
Core Subject : Science,
Arjuna Subject : -
Articles 219 Documents
Penerapan Metode Peramalan untuk Identifikasi Permintaan Konsumen Karina Auliasari; Mariza Kertaningtyas; Mawan Kriswantono
INFORMAL: Informatics Journal Vol 4 No 3 (2019): 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.v4i3.14615

Abstract

The forecast model is done using data from several years before, with the involvement of time parameters in the forecast process is usable for the company to made an effective and efficient planning. Forecasting has an important role because the company requires short-term, medium-term and long-term estimates for each management. For short-term estimates, a company requires personnel, production and transportation scheduling, which is part of the process of scheduling and estimating consumer demand. In this study the results of three forecasting methods were compared, there is simple average, naïve and seasonal naive on demand data of PT SUPER SUKSES NIAGA to be further these three method measured its forecast accuracy using the value of MASE (Mean Absolute Square Error). From the results of data pre-processing consumers whose high value of demand are PT. DIESELINDO, PT. DUTA, PT. HEXINDO and PT. PANATAMA. The results of forecasting shown that the method that has the smallest MASE value is the simple moving average method.
Perencanaan Arsitektur Enterprise Dengan Kerangka Kerja TOGAF (The Open Group Architecture Framework) Pada PT. Puma Logistics Indonesia Latjuba Sofyana STT
INFORMAL: Informatics Journal Vol 2 No 1 (2017): INFORMAL: INFORMATICS JOURNAL
Publisher : Faculty of Computer Science, University of Jember

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Abstract

PT Puma Logistic Indonesia is a company which dwelled in freight forwarder services. In carrying out its business activities, the company still use manual processes, Manual data management will present a lot of risks, including simple errors in recording or data input. Therefore, PT Puma Logistics Indonesia requires need information technology and system that could support and manage the company’s business process well. Based on these problems, the PT Puma Logistics Indonesia requires enterprise architecture planning. The results in this study indicate enterprise architecture planning using TOGAF ADM can produce models of enterprise architecture (blueprint) that can be used as a guide in the procurement and development of IS / IT at PT. Puma Logistics Indonesia. The blueprint includes 13 business functions in a business process architecture, 27 new entities in the architecture of the data, four application modules at the application architecture and the provision and upgrading of hardware and software in the PT. Puma Logistics Indonesia in architectural technology.
Sistem Pakar Untuk Mendeteksi Tingkat Resiko Penyakit Jantung Dengan Fuzzy Inferensi (Mamdani) Dany Suktiawan Irman Fiano; Agus Sidiq Purnomo
INFORMAL: Informatics Journal Vol 2 No 2 (2017): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

The development of information technology is needed to help and support in all areas one of the health field. Use of information technology in the field of health to reduce problems in clinical and non-clinical action. One of the problems encountered in the field of health is heart disease. The heart is one of the vital organs for humans. Because of the importance of this heart role, heart health must be maintained in order to function properly. Cardiac examination can be done in the hospital by handled by an internist. However, due to limited access and time for consultation with a medical specialist, it has to wait a relatively long time to find out the results of the examination. So it is necessary media to be able to help detect the risk of heart disease more easily and quickly. In this study will be designed an expert system to detect the risk of heart disease by implementing fuzzy inference (mamdani). Where this system will provide information about the level of risk of heart disease based on risk variables of heart disease that is blood pressure, blood sugar, cholesterol, Body Mass Index (BMI) and history of heart disease family. So it can help people in anticipating the risk of heart disease. Based on 20 data that have been tested against experts and systems, for patients detected having a small risk of heart disease have a percentage of 30%, for a moderate risk level has a percentage of 50%, for a large risk level has a percentage of 20%. As for the level of compliance based on the validation results of experts (doctors) and the system, obtained a percentage of 80% of the appropriate test data, and 20% of the test data is not appropriate.
Sistem Informasi Distribusi Cabai Dengan Metode Distribution Requirements Planning (DRP) di Provinsi Jawa Timur Nur Kholis Mansur; Saiful Bukhori; Oktalia Juwita
INFORMAL: Informatics Journal Vol 4 No 1 (2019): 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.v4i1.12288

Abstract

Chili production in East Java in 2016 reached nearly 2 million tons with details of 1 million tons of chili and large chili 939 thousand tons. The abundant amount of chili production is still the cause of inflation. The inflation factor is caused by several factors, one of which is the abundant amount of chili production but occurs in certain months or other causes are uneven distribution. The chili production center in East Java is still experiencing problems with distribution activities in meeting the demands of chili every city. Shipments carried out in East Java also do not have an optimal value to meet the number of requests. The poor delivery plan also caused errors in arranging inventory to make deliveries. The East Java government needs a way to analyze the distribution of chili by planning scheduling to improve the ability to fulfill chili demand using the Distribution Requirement Planning (DRP) method. Planning using this DRP method can produce an analysis of the gross needs and needs of chili in each city with the level of service used in the safety stock is 90%, with a normal distribution table that is equal to 1.28.
Evaluasi Kesuksesan Web Desa Pada Kecamatan Maesan Menggunakan Information System Success Model (ISSM) Oktalia Juwita; Vian Elfada; Priza Pandunata
INFORMAL: Informatics Journal Vol 4 No 2 (2019): 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.v4i2.11284

Abstract

Web Desa adalah situs berbasis online yang di dalamnya terdapat informasi seputar desa yang dioperasikan oleh PPID (Petugas Pengelola Informasi Desa). Saat ini PPID di Kecamatan Maesan jarang melakukan update informasi setiap harinya. Hal itu disebabkan karena PPID kebanyakan belum bisa untuk melakukan posting dan kesulitan untuk membuat beritanya. Penelitian ini akan mengevaluasi Web Desa dengan menggunakan metode Information System Success Model (ISSM). Tujuan dari penelitian ini adalah untuk mengetahui faktor-faktor yang mendukung dan menghambat kesuksesan dari Web Desa. Data yang digunakan yaitu 61 responden yang terdiri dari PPID dari setiap desa. Penelitian ini menggunakan aplikasi GeSCA untuk uji hipotesisnya dan SPSS untuk uji validitas dan reliabelitasnya. Hasil dari penelitian ini menunjukkan jika variabel Use berpengaruh positif dan signifikan terhadap variabel Net Benefits dan Net Benefits berpengaruh positif dan signifikan terhadap Use.
Rear Cover Oktalia Juwita
INFORMAL: Informatics Journal Vol 4 No 3 (2019): 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.v4i3.16004

Abstract

Rear cover INFORMAL Vol.4 No.3 Desember 2019
Identifikasi Isen-Isen Batik Menggunakan Backpropagation Dan Alihragam Wavelet Rosalia Arum Kumalasanti
INFORMAL: Informatics Journal Vol 2 No 1 (2017): INFORMAL: INFORMATICS JOURNAL
Publisher : Faculty of Computer Science, University of Jember

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Abstract

Indonesian state has a valuable cultural heritage art form of batik. Batik has received recognition from the United Nations through UNESCO as a heritage of Indonesia since October 2, 2009. Motif consists of the main components form the principal ornament and isen. Isen generally has a simple shape and has a relatively small size. Isen used to embellish the principal ornament that can add charm, but batik lovers in general do not have enough knowledge on this cultural heritage. Isen batik samples used in this study include cecek pitu, hereangan, sisik melik, ukel, sisik, cecek, and galaran. Batik lovers in general less know the name isen batik cloth they wear. It is very unfortunate when batik lovers just wearing batik cloth without knowing the deeper will be the uniqueness of this batik. The lack of information about batik especially isen be one factor identification system built isen batik. The system will be built by using Artificial Neural Networks Backpropagation and wavelet transformation. The system will recognize the pattern of Isen-sen each to be taken characteristics and is then ready to be identified. The target to be achieved in this research is to provide accurate information about batik decoration isen especially in the detection of appropriate naming. The lack of information about isen batik has become one of the factors their ideas in the form of identification isen batik using Backpropagation Neural Network and Wavelet transformation. The system is designed to search for understanding patterns of isen as an object, and then after the obtained characteristics of the pattern, then the system will identify isen accordance with related names. This research involves two main parts: training and testing. Training begins by scanning the image of isen manually using a scanner to produce digital images. Digital image subjected to the initial process is preprocessing which includes, threshold, wavelet transformation, normalization, and after that the data is ready to be trained using back propagation neural network. In the form of weight training results will be stored in a data store as a trained image. The testing phase also involves preprocessing, as well as training and after normalization, the test images will be compared with the data already stored in the training data store. These test results in the form of ID is correlated with the name of isen related. It is hoped the system provides optimal accuracy and can be one source of information for batik in particular in identifying the name Isen Isen.
Tourism, Art, and Unique Using Culture Products Promotion with Android-Based Applications Priza Pandunata
INFORMAL: Informatics Journal Vol 2 No 2 (2017): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

The Government of Banyuwangi is actively promoting tourism, one of the most intensively promoted and most desirable is tourism and the unique art of Using where the Using (or Osing) tribe is known as the indigenous people of Banyuwangi. Some of Osing's popular cultural and artistic products that are often promoted include several dance performances, traditional rituals and traditional villages. One of the potential promotional media that can be used is the use of mobile devices, due to the large number of mobile device users. Therefore, to support the promotion of tourism, art and cultural products of Osing and to help the tourists in obtaining tourism information in Banyuwangi, then an application based on Android tourism is made. To develop an Android-based application is done through a series of stages: Requirement Analysis, Literature review, Data Collection and Data Processing, Application Design and code, and Testing and Evaluation.
OPTIMASI PERSEDIAAN MATERIAL TRANSFORMATOR MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN DAN ANT COLONY OPTIMIZATION DI PT. PLN (PERSERO) AREA JEMBER Rizki Herdatullah; Syaiful Bukhori; Windi Eka Yulia Retnani
INFORMAL: Informatics Journal Vol 4 No 1 (2019): 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.v4i1.12892

Abstract

Optimization comes from basic words optimal which mean the best, highest, most beneficial, make the best, and do optimizing (make the best, highest, etc.). Forecasting is an attempt to predict the future. Prediction can be done by studying the pattern of historical data to find a model that can show future data. This methoed is called time series data forecasting. One of many algorithm that can builds model from historical data is Artificial Neural Networks (ANN). The algoritm mimics the human neuron system so that is can solve non-linear problems, such as the forecasting of transformator demand. In the process of modeling, ANN will always update the connection weights to find the optimum weights. In this final project ANN will be trained by Ant Colony Optimization (ACO). Based on the results can be seen that ANN with ACO as learning methods can predict transformator demand with good result.
Rear Cover
INFORMAL: Informatics Journal Vol 4 No 2 (2019): 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.v4i2.14568

Abstract

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