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INDONESIA
JURNAL SISTEM INFORMASI BISNIS
Published by Universitas Diponegoro
ISSN : 20883587     EISSN : 25022377     DOI : -
Core Subject : Economy, Science,
JSINBIS merupakan jurnal ilmiah dalam bidang Sistem Informasi bisnis fokus pada Business Intelligence. Sistem informasi bisnis didefinisikan sebagai suatu sistem yang mengintegrasikan teknologi informasi, orang dan bisnis. SINBIS membawa fungsi bisnis bersama informasi untuk membangun saluran komunikasi yang efektif dan berguna untuk membuat keputusan yang tepat waktu dan akurat. Business intelligence sebagai dasar pengembangan dan aplikasi SINBIS menjadi kerangka kerja teknologi informasi yang sangat penting untuk membuat agar organisasi dapat mengelola, mengembangkan dan mengkomunikasikan aset dalam bentuk informasi dan pengetahuan. Dengan demikian SINBIS merupakan kerangka dasar dalam pengembangan perekonomian berbasis pengetahuan.
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Articles 14 Documents
Search results for , issue "Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018" : 14 Documents clear
SISTEM PENGENDALI INVENTORI SUPPLY CHAIN DENGAN PENDEKATAN PROBABILITAS PADA INDUSTRI PAKAIAN ., Mustafid; Sabila, Alzena Dona; ., Suryono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.827 KB) | DOI: 10.21456/vol8iss1pp17-24

Abstract

Inventory control systems have an important role in supply chain management to control process of production, inventory and distribution of products in accordance with rapidly changing consumer demand. The research aims to develop inventory control system on supply chain that can manage the number of production and supply of products based on variables of consumer demand and lead time. Supply chain inventory control systems are designed using model of supply chain inventory control within the information system framework. Model of inventory control using variable of demand lead time is designed by  probability approach. Input to the system are data of demand and lead time sent by retail. The results of research provide theory of supply chain inventory control system with probability approach, especially on developing the theory of probability distribution for combined variables from  two random variables of normal distributed.  Inventory control system used to determine safety stock and reorder point as the basis for determining  the replenishment stock. Furthermore by the system, supply chain management can manage the estimation of production number, and manage inventory and stock number of products in warehouse, supplier and retail in accordance with the consumer demand.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SISWA BERPRESTASI BERBASIS WEBSITE DENGAN METODE SIMPLE ADDITIVE WEIGHTING Pradana, Razqa Lathif; Purwanti, Dwi; Arfriandi, Arif
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (27.161 KB) | DOI: 10.21456/vol8iss1pp34-41

Abstract

Generally, the selection of outstanding students in every school still uses the report value as the reference and it is done manually. It is required a system that may select the outstanding students accordance with the criteria and done automatically. In this study, it was developed an automatic system for selecting outstanding students by using Simple Additive Weighting (SAW) concept. The criteria set by the school in the selection of outstanding students are the average of the first and the second semester score, the achievements on district, city, and national level, liveliness in the organization and extracurricular, and credit point of attitude. Method of investigation used in this study is R & D, including introduction study, the development of system consisting of the application of SAW method and designing waterfall method, and testing of system which done by testing the comparison of the result and respond of users. The result of black box testing showed that all functionality in the system run well and appropriate; while for the white box showed that all paths run in accordance with SAW method. For the result of the comparison testing showed that the validation level was 100%. The result of the users respond revealed that the average of teacher responds was 90% and the students respond was 80, 34%. Therefore it can be concluded that decision support system by using SAW method can determine the outstading students.
PENJADWALAN TENAGA KEBIDANAN MENGGUNAKAN ALGORITMA MEMETIKA Dodu, A. Y. Erwin; Nugraha, Deny Wiria; Putra, Subkhan Dinda
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (573.225 KB) | DOI: 10.21456/vol8iss1pp99-106

Abstract

The problem of midwife scheduling is one of the most frequent problems in hospitals. Midwife should be available 24 hours a day for a full week to meet the needs of the patient. Therefore, good or bad midwife scheduling result will have an impact on the quality of care on the patient and the health of the midwife on duty. The midwife scheduling process requires a lot of time, effort and good cooperation between some parties to solve this problem that is often faced by the Regional Public Hospital Undata Palu Central Sulawesi Province. This research aimed to apply Memetics algorithm to make scheduling system of midwifery staff at Regional Public Hospital Undata Palu Central Sulawesi Province that can facilitate the process of midwifery scheduling as well as to produce optimal schedule. The scheduling system created will follow the rules and policies applicable in the hospital and will also pay attention to the midwife's preferences on how to schedule them according to their habits and needs. Memetics algorithm is an optimization algorithm that combines Evolution Algorithm  and Local Search method. Evolution Algorithm in Memetics Algorithm generally refers to Genetic Algorithm so that the characteristics of Memetics Algotihm are identical with  Genetic Algorithm characteristics with the addition of Local Search methods. Local Search in Memetic Algorithm aims to improve the quality of an individual so it is expected to accelerate the time to get a solution.
DETEKSI DAN PENGGOLONGAN KENDARAAN DENGAN KALMAN FILTER DAN MODEL GAUSSIAN DI JALAN TOL Waliulu, Raditya Faisal
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.907 KB) | DOI: 10.21456/vol8iss1pp1-8

Abstract

Monitoring systems are widely implemented in various sectors aimed at improving the security and productivity aspects. The research aims to detect moving objects in the form of video file tipefile (* .avi) 640x480 resolution and image class according to pixel area. Moving objects are given in the Region of Interest path for easy detection. Detection on moving objects using methods of Kalman filter and gaussian mixture model. There are two types of distribution, the distribution of Background and Foreground. The form of the Foreground distribution is filtered using Bit Large Object segmentation to obtain the dimensions of the vehicle and morphological operations. The feature extraction results from the vehicle are used for vehicle classification based on pixel dimension. Segmentation results are used by Kalman Filter to calculate the tracking of moving object positions. If the Bit Large Object segmentation is not found moving object, then it is continued on the next frame. The final results of system detection are calculated using Positive True validation, True Negative, False Positive, and False Negative by looking for the sensitivity and specificity of each morning, day and night conditions
IDENTIFIKASI HURUF KAPITAL TULISAN TANGAN MENGGUNAKAN LINEAR DISCRIMINANT ANALYSIS DAN EUCLIDEAN DISTANCE Cahyani, Septa; Wiryasaputra, Rita; Gustriansyah, Rendra
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (766.518 KB) | DOI: 10.21456/vol8iss1pp57-67

Abstract

The human ability to recognize a variety of objects, however complex the object, is the special ability that humans possess. Any normal human will have no difficulty in recognizing handwriting objects between an author and another author. With the rapid development of digital technology, the human ability to recognize handwriting objects has been applied in a program known as Computer Vision. This study aims to create identification system different types of handwriting capital letters that have different sizes, thickness, shape, and tilt (distinctive features in handwriting) using Linear Discriminant Analysis (LDA) and Euclidean Distance methods. LDA is used to obtain characteristic characteristics of the image and provide the distance between the classes becomes larger, while the distance between training data in one class becomes smaller, so that the introduction time of digital image of handwritten capital letter using Euclidean Distance becomes faster computation time (by searching closest distance between training data and data testing). The results of testing the sample data showed that the image resolution of 50x50 pixels is the exact image resolution used for data as much as 1560 handwritten capital letter data compared to image resolution 25x25 pixels and 40x40 pixels. While the test data and training data testing using the method of 10-fold cross validation where 1404 for training data and 156 for data testing showed identification of digital image handwriting capital letter has an average effectiveness of the accuracy rate of 75.39% with the average time computing of 0.4199 seconds.
KLASIFIKASI OPINI MASYARAKAT TERHADAP JASA EKSPEDISI JNE DENGAN NAïVE BAYES Jumeilah, Fithri Selva
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (658.869 KB) | DOI: 10.21456/vol8iss1pp92-98

Abstract

The large number of online sales transactions has increased the number of service users. One of the companies engaged in the delivery service in Indonesia is Tiki Nugraha Ekakurir or more known JNE. Currently, JNE service users reach 14.000.000 per month. JNE has used many media communications with its customers one of them with Twitter. The number of followers of JNECare is 108,000 and the number of tweets is 375,000. The number of comments for people who can be used to see what they think of JNE is an inseparable comment is a negative, positive or neutral category. To simplify the grouping of comments, the data will be classified using the Naïve Bayes method present in Rstudio. The amount data used on the internet is 1725 tweets. The data will be divided into allegations of 70% data training as much as 1208 data and 30% data testing or as many as 517 data. Before the data is classified the previous data must go through the process of preprocessing that is changing all the letters into lowercase and other letters other than letters and spaces (case folding), tokenizing words, and the removal of the word common (stopword remove). After the data is cleared the data will be labeled manually one by one and new data can be used for the training process to get the probability model for each category. Probailitas obtained by using Naïve bayes algorithm. Models obtained from the training will be used using data testing. The categories obtained from the test will be used to process the data used by using the confusion matrix and will calculate the accuracy, precision and recall. From the results of the classification of JNE comments obtained that Naïve Bayes was able to classify the data well. This is evidenced by the average percentage accuracy of 85%, 78% precision and 67% recall.
SISTEM AUTO RECOMMENDATION OBJEK WISATA MENGGUNAKAN METODE SAW Murti, Alif Catur; Chamid, Ahmad Abdul
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.406 KB) | DOI: 10.21456/vol8iss1pp9-16

Abstract

The tourism sector is a complex multidimensional sector, which has an influence over the interrelation of other sectors in tourism activities and now the tourism sector is concerned by the government. Every tourist who will visit the tourist sites must have some consideration. The fact that today is happening is a lot of tourists who are disappointed because the destination is not in accordance with what they want. Seeing that the media campaign that is currently done is still not efficient, so Auto Recommendation System is needed which is capable to do visualized in digital mapping, and the system built can show the automatic recommendation of tourist destinations in accordance with the wishes of tourists. Auto Recommendation System is a system that implements Simple Additive Weighting (SAW) method. The results of this research factors other than the value of weight given by tourists, is the value factor owned by each alternative for each criteria, because the higher the value owned by the higher the higher the value of the final ranking obtained by the alternative. The end result of the SAW method is in the form of alternative ranking of existing tourism objects. Based on the results of these rankings the system also produces output in the form of location maps along with detailed information of the tourism object. Religious tourism Sunan Kudus and Sunan Muria became the recommended tourist attraction with first and second priority.
PENGUKURAN KEBERHASILAN E-LEARNING DENGAN MENGADOPSI MODEL DELONE & MCLEAN ., Deny; Andry, Johanes Fernandes
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.234 KB) | DOI: 10.21456/vol8iss1pp68-75

Abstract

Investment resources, time and cost in the implementation of information systems are not small, making measuring the success of information systems becomes very important to do. Meanwhile, the university as an educational institution today has been rampant to implement e-learning as an information system that provides added value for students. A University in North Jakarta has implemented e-learning integrated with information portal of students and lecturers since 2009. But until now has not been measured the success of the information system. So this research is done with one of the goals to measure the success of e-learning adopted by the University. In addition, this research would like to test the success model of DeLone and McLean's updated information system (2003) in the case of e-learning. The analysis was performed using SEM with the help of Lisrel 8.7 which tested 7 hypotheses. From this research found that DeLone and McLean model can not be used to explain the cause of success of e-learning system that its use is required, but need further research to get better level of generalization.
ANALISIS DAN PENGUKURAN KUALITAS INFORMASI PADA WEBSITE MENGGUNAKAN PENDEKATAN SIX SIGMA Faisal, Bagus; Candiwan, Candiwan; Priyadi, Yudi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (214.837 KB) | DOI: 10.21456/vol8iss1pp84-91

Abstract

Information held by a company is one of the important factors for its success. Nowadays with rapid development of usage of internet and social media, bad information can also have a significantly negative impact on every element / level that exists in the company or in the community. Sometimes it can lead to public unrest. Bad or good information has correlation with the quality of information. The aim of this research  is to assest and analyze  the quality of information using Six Sigma approach and we choose Kaskus website as a case study. Kaskus is the largest community online in Indonesia. It provided various kinds of information to its user. By using its approach, this research consists of 5 stages, they are ?define?, ?measure?, ?analysis?, ?improve?, and ?control?. Each phase/stage using different tools to assess the current Information Quality, such as questionnaires for define phase, ?Expert Choice?(Analytic Hierarchy Process) for measure phase, and quality function deployment (QFD) for analysis stage. Questionnaires used for defining customer specifications and identify information quality problem, meanwhile software ?Expert Choice? used to measure the importance each quality information dimensions and then to validate/analyzise the problem of the data. And lastly, QFD used to determine the mutual relationships of information quality dimensions and critical to Information Quality factors. Output of ?Analyze? stage shows that Accuracy, Relevancy, and Objectivity dimension on Kaskus website need to be improved immediately because it reaches unacceptable point.
PENERAPAN MODEL PROMOSI BERBASIS WEB CAPTIVE PORTAL HOTSPOT DENGAN MANAJEMEN TERPUSAT Yutanto, Hariadi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.49 KB) | DOI: 10.21456/vol8iss1pp49-56

Abstract

The current technological developments so rapidly with speed and supported the ease of internet services. The Internet has also become one of the main needs of everyday human life activities. Internet advertising media innovation is one of the key media promotion in following the development of technology. Web-based portal advertising hotspot media for internet connection services is the most widely used today, as almost all agencies, offices, hotels, restaurants, schools / internet service providers (ISPs) use this technology. Hotspot network management techniques on mikrotik router captive portal can be used as a web-based promotion media and can be used as a centralized and dynamic media settings. Advertising media can be determined by location by combining 2 methods ie eoip and bridge for lan network while eoip, vpn and bridge on wan network. The results of this research has been working optimally and implemented in the network lan STIE Perbanas Surabaya while for wan network has been tested using the internet network in several locations civitas house.

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