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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 10 Documents
Search results for , issue " Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015" : 10 Documents clear
Analisis Sentimen Berbasis Ontologi di Level Kalimat untuk Mengukur Persepsi Produk Akbar, Agus Subhan; Sediyono, Eko; Nurhayati, Oky Dwi
JURNAL SISTEM INFORMASI BISNIS Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1207.424 KB) | DOI: 10.21456/vol5iss2pp84-97

Abstract

The purpose of this research is to do sentiment analysis on tweets data retrieved using ontology framework and using naïve bayes classifier algorithm for classification process. This study is based on the habits of twitter users who frequently writes opinion, expression, or sentiment on a specific product, especially smartphones. These tweets can be used as a basis for sentiment analysis on a particular product. The method used in this study include the use of ontology framework for tweets retrieval that match the domain of the discussion and the use of naïve bayes classification algorithm for data classification. Classification process carried past the 3 pieces of layer classification to fine tune the final result of classification. Three layers of classification used include buzz/promo classification (classifying tweets into buzz and not-buzz tweets), subjectivity classification (classifying not-buzz tweets into subjective and objective tweets), and sentiment classification (classifying subjective tweets into positive, negative, or neutral tweets). The resulted software can classify tweets with high accuracy. This software was trained and tested with the composition of 25:75, 50:50, 75:25 from sample data and tested 10 times for each composition. Average accuracy of the system reached 84.16%, 86.15%, and 87.54% for each composition. The result showed that by employing this system, product marketing stakeholders can determine the level of user sentiment expressed in the form of tweets. The method used in this study could be developed to improve the accuracy of classification systems. Keywords: Sentence Level Sentiment Analysis; Ontology; Naïve Bayes, Classification
Pendekatan Clustering untuk Ekstraksi Pengetahuan pada Pembangunan Sistem Manajemen Pengetahuan Pulukadang, Dwinta Rahmallah; Mustafid, Mustafid; Farikhin, Farikhin
JURNAL SISTEM INFORMASI BISNIS Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.231 KB) | DOI: 10.21456/vol5iss2pp79-83

Abstract

The importance of knowledge management in any organization encourages the development of a knowledge management system with features that can facilitate knowledge management processes such as storing, organizing, filtering, searching, and most important is the transfer of knowledge. The purpose of this researchis to develop a knowledge management system with a clustering approach for knowledge extraction by using a knowledge of publication writing. This study uses clustering k-means method which is used for cluster knowledge feature where at the same time can help the process of organizing, filtering, browsing and searching knowledge. The results of this research showed that the clustering k-means can be used for knowledge management system with the best value of purity= 0,8454 which is found by using k = 20. Clustering approach in the system again can help the process for knowledge searching based on knowledge cluster. This can be proved by carried out 15 times experiments which result in average level of accuracy (precision) about 89.13% and the average rate of completeness (recall)about 85.73 %.   Keywords : Knowledge Management System; Extraction; K-means; Clustering
Studi Implementasi Adaptive Neuro Fuzzy Inference System Untuk Menentukan Normalitas Kehamilan Rusdiana, Lili; Sediyono, Eko; Surarso, Bayu
JURNAL SISTEM INFORMASI BISNIS Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1004.245 KB) | DOI: 10.21456/vol5iss2pp98-108

Abstract

Early detection of normality pregnancy is one of the ways to prevent more serious disorders in pregnancy. This thesis study the implementation of Adaptive Neuro Fuzzy Inference System (ANFIS) to determine the normality of pregnancy. The period of pregnancy and complaints during pregnancy are used as inputs and the normality of pregnancy as output. Data were analyzed using ANFIS method and using Sugeno FIS rules. The program simulation results show that the performance of ANFIS can be implemented to determine the normality of pregnancy. The learning results on different training with the highest level of accuracy of 77,5% can recognize the symptoms and 97.5% could identify the diagnosis to determine the normality of pregnancy. The system can provide the necessary information about the normality of pregnancy. The results show that ANFIS can be used to determine the normality of pregnancy.   Keywords: ANFIS; Normality of PregnancyEarly detection of normality pregnancy is one of the ways to prevent more serious disorders in pregnancy. This thesis study the implementation of Adaptive Neuro Fuzzy Inference System (ANFIS) to determine the normality of pregnancy. The period of pregnancy and complaints during pregnancy are used as inputs and the normality of pregnancy as output. Data were analyzed using ANFIS method and using Sugeno FIS rules. The program simulation results show that the performance of ANFIS can be implemented to determine the normality of pregnancy. The learning results on different training with the highest level of accuracy of 77,5% can recognize the symptoms and 97.5% could identify the diagnosis to determine the normality of pregnancy. The system can provide the necessary information about the normality of pregnancy. The results show that ANFIS can be used to determine the normality of pregnancy.   Keywords: ANFIS; Normality of Pregnancy
Penerapan ANP-TOPSIS untuk Pengukuran Kinerja Human ResourcesProcurement Section Kaluku, Moh Ramdhan Arif; Mustafid, Mustafid; Jie, Ferry
JURNAL SISTEM INFORMASI BISNIS Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.795 KB) | DOI: 10.21456/vol5iss2pp119-127

Abstract

One practice is important in a companys performance is in the process of procurement. Performance of human resources in a company shows a measure of the quality of work and is used as a measure to observe the performance levels of employees in a company. The level of underperformance will have an impact on the quality of jobs that will be performed that could have a serious impact on the company. It is necessary to develop a human resources performance measurement using ANP method and TOPSIS, the procurement section of the company. This study aims to assist in the decision making process and seek alternative solutions to address the issues in order to measure the level of performance of each employee. In this study, the method used to obtain the ANP normal weight that will be used for calculations on TOPSIS method. The input parameters in the weighting process ANP is also very affecting for ranking process to be performed on TOPSIS. The input parameter is the ratio of any existing KPI indicators on procurement section. The results showed that the proposed method can be used to build a predictive performance measurement on procurement human resources section. From the research the highest performance values ​​obtained on procurement section is 0.6936 while the lowest value was 0.3584. Keywords: ANP; TOPSIS; KPI; Human Resources; Procurement Section
Implementasi Metode AHP Dan Promethee Untuk Pemilihan Supplier Chamid, Ahmad Abdul; Surarso, Bayu; Farikhin, Farikhin
JURNAL SISTEM INFORMASI BISNIS Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.087 KB) | DOI: 10.21456/vol5iss2pp128-136

Abstract

Selection of suppliers is one of the most important things to meet the needs of the company consistently and at an acceptable cost, decision support system used to select suppliers by identifying suppliers with the highest potential. The object of this study is the drug suppliers. In this study we use four criterias to select suppliers of drugs: drug completeness, price, time delivery, payment or loan term. AHP method is used to calculate the weight of each criterion based on the pharmacist assessment. The weight criterias of the AHP process result is used for the calculation of the alternatives rank. PROMETHEE method used to alternatives calculation analysis that produce alternatives rankings. Keywords: Supplier; Decision Support Systems; AHP and PROMETHEE.
Metode Quality Function Deployment Dan Fuzzy Topsis Untuk Sistem Pendukung Keputusan Pemilihan Perusahaan Penyedia Jasa Internet Prasongko, Novianto Dwi; Gernowo, Rachmat
JURNAL SISTEM INFORMASI BISNIS Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (670.716 KB) | DOI: 10.21456/vol5iss2pp137-144

Abstract

Internet Service Provider (ISP) is a company or business organization that provides access to intenet and services related for individual consumer or companies. There are many ISP in Indonesia recently, and they have almost the same product to offered. This problem makes internet service provider selection become a major issue. Decision support system can be used to recommend the best ISP company based on need. The aim of this research is to used Quality Function Deployment with Fuzzy TOPSIS sequentially to select the best ISP company as needed, and implemented in decision support system for internet service provider selection. Quality Function Deployment and Fuzzy TOPSIS methods used to evaluate, and then recommend the ISP company by ranked. Quality Function Deployment method used to find out customers requirements about internet network, the weighting of the criteria and the assessment of each ISP company. Fuzzy TOPSIS used to rank ISP company. These two methods produce consistent ratings when sensitivity analysis is performed for fuzzy and crisp value. These two methods make decision support system result can be trusted. Keywords : Quality Function Deployment; Fuzzy TOPSIS; Sensitivity Analysis
Implementasi Metode Promethee Dan Borda Dalam Sistem Pendukung Keputusan Pemilihan Lokasi Pembukaan Cabang Baru Bank Apriliani, Dyah; Adi, Kusworo; Gernowo, Rachmat
JURNAL SISTEM INFORMASI BISNIS Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (710.309 KB) | DOI: 10.21456/vol5iss2pp145-150

Abstract

The selection of a new branch bank location is crucial to the success of the bank in the future. The object of this research is BMT Muamalat. PROMETHEE method is used to manage individual decision of each decision makers, while Borda method is used to manage group decisions of PROMETHEE method in ranking the results. The use of these two methods is one solution to produce a more objective group decision. Ranked of alternative location have appropriated with the opening rules of the new branches of BMT Muamalat. As for the variables in this study are criminality, facilities and infrastructures, per capita income, economic growth, population, and the number of competitors around the alternative location of a new branch. The results of this research is Banyuputih as the best alternative location.   Keywords: Decision Support Systems, Choice of location of the bank, PROMETHEE, Borda
Sistem Gesture Accelerometer dengan Metode Fast Dynamic Time Warping (FastDTW) Chaerul Haviana, Sam Farisa
JURNAL SISTEM INFORMASI BISNIS Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (858.138 KB) | DOI: 10.21456/vol5iss2pp151-160

Abstract

In the modern environment, the interaction between humans and computers require a more natural form of interaction. Therefore, it is important to be able to build a system that can meet these demands, such as by building a hand gesture recognition system or gesture to create a more natural form of interaction. This study aims to design a smartphone’s accelerometer gesture system as human computer interaction interfaces using FastDTW (Fast Dynamic Time Warping).The result of this study is form of gesture interaction which implemented in a system that can make the process of recognition of the human hand movements based on a smartphone accelerometer which generates a command to run the media player application functions as a case study. FastDTW as the development of Dynamic Time Warping method (DTW) is able to compute faster than DTW and have an accuracy approaching DTW. From the test results, FastDTW show a fairly high degree of accuracy reached 86% and showed a better computing speed compared to DTW   Keywords: Human and Computer Interaction, Accelerometer-based gesture, FastDTW, Media player application function
Sistem Informasi Untuk Supply Chain Berkelanjutan Berbasis Pengetahuan Mustafid, Mustafid
JURNAL SISTEM INFORMASI BISNIS Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.582 KB) | DOI: 10.21456/vol5iss2pp109-118

Abstract

Information systems and supply chain has a strategic role to manage, measure and improve business performance with a sustainable competitive advantage. This paper aims to design the basic theoretical concepts of information systems for a enterprise knowledge-based sustainable supply chain. These systems in the form of a sustainable supply chain information system designed based enterprise resource knowledge and directed in accordance with the objectives and indicators of business performance in a sustainable by taking into account environmental, economic and society. Concepts theoretical basic of this system can be used as a basic for research development and application in the field of information systems and supply chain sustainability. The application of this system can be used to help management in managing and optimizing enterprise knowledge resources in accordance with the potential of the enterprise in order to improve  business performance overall  and sustainability. Keywords: sustainable supply chain information systems, knowledge resources, knowledge management, green supply chain.
Sistem Informasi Kinerja Layanan Laboratorium Medis dengan Metode Six Sigma Dewi, Anindita Kusumastuti; Widiyanto, Ibnu
JURNAL SISTEM INFORMASI BISNIS Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Magister Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (842.299 KB) | DOI: 10.21456/vol5iss2pp161-170

Abstract

Medical Laboratory currently holds a very important role in medicine. Evaluation of laboratory quality plays a very important to maintain accurate laboratory results. This study aims to design an information system performance based on the same perception of medical laboratory services from customers using Six Sigma methods and frameworks using ServQual questionnaire. Selection of Six Sigma itself is based on this method can measure the extent to which each process deviates from its purpose as well as to reduce the variation of each of the attributes.  Six Sigma DMAIC namely (Define, Measure, Analyze, Improve, Control) preferred because the end result will not yield new products, but only improvements on existing processes. The results of this calculation will be presented in the form of a dashboard for easier management in understanding the results of the evaluation. From the system can be obtained an average value of consumer perceptions terhdap performance today is 2,883, consumer expectations on the performance of 3.3768, the gap between the perceptions and expectations of consumers is -0.4936, customer satisfaction will be the performance of the current 85.37%, the value of 423 360 DPMO and sigma value there at the 2.07664 level.   Keywords: Laboratory Performance; Six Sigma; Servqual; Dashboard

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