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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 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017" : 10 Documents clear
IMPLEMENTASI SIMPLE ADDITIVE WEIGHTING UNTUK MONITORING AKTIVITAS PERKULIAHAN DENGAN MENGGUNAKAN RADIO FREQUENCY IDENTIFICATION Darmawan, Ashari
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1033.061 KB) | DOI: 10.21456/vol7iss1pp48-58

Abstract

Monitoring of learning activities has a very important role to improve the quality of education in University. The research  aims to develop a monitoring system of learning activities in real time by using simple additive weighting and radio frequency identification technology.A simple additive weighting method is used to determine the weighting of each criterion involved in the system, while radio frequency identification technology is used electronically to identify and store learning activity information. Monitoring system built using learning activities data in the room and lecturer activities using radio frequency identification tag in real time. The results of the system include the recording of monitoring data of lecturing activities that produce lecturer attendance reports on each class in real  time, thus making efficient the time, effort and cost. The system also produces a ranking of lecturer discipline on each of the criteria that gives the difference of outcomes among the consistent lecturers present on schedule with inconsistent lecturers present on schedule. The results of monitoring of lecture activities can be used for university leaders as a decision-making material quickly based on actual data in real time to improve the quality of the learning process.
PERANCANGAN MODEL DATA FLOW DIAGRAM UNTUK MENGUKUR KUALITAS WEBSITE MENGGUNAKAN WEBQUAL 4.0 Hapsari, Karina; Priyadi, Yudi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (398.62 KB) | DOI: 10.21456/vol7iss1pp66-72

Abstract

The more competition the e-commerce company and the development of technology company in Indonesia, website of Zalora Indonesia traffic rank declining. Measuring the quality of website by using WebQual 4.0 will help manage the web to be able to adjust the quality of the web with user perception.  The research aims to make design of Data Flow Diagram model to measure website quality using WebQual 4.0 based on user satisfaction variable. A case study was conducted on the Zalora Indonesia website. Data Flow model is used to make design of system model recommendation, while WebQual 4.0 method is used to measure website quality to user satisfaction. The research data using primary data in the form of questionnaires involving 384 respondents in the city of Bandung who had transacted on the website Zalora Indonesia. Data analysis technique applies descriptive analysis. Based on the research result on the quality of the website Zalora Indonesia, simultaneous positive and significant impact on user satisfaction Zalora Indonesia website. t test result showed that three variables partially have a posotive impact on user satisfaction Zalora Indonesia website is usability quality, information quality and service interaction quality, with Information quality variable has largest impact. Therefore, the modeling system using the Context Diagram-Data Flow Diagram focused on information quality variable. 
SISTEM EVALUASI JAMUNAN MUTU MENGGUNAKAN RULE BASED SYSTEM UNTUK MONITORING MUTU PERGURUAN TINGGI Hartono, Sri
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (697.515 KB) | DOI: 10.21456/vol7iss1pp24-31

Abstract

The needs for continuous quality improvement resulting in the more complex. The research aims to develop system of quality assurance evaluation using rule based system to monitor the quality of higher education. This process of the research begins by documenting the daily activity of study program which consists of lecturer data, research data, service data, staff data, student data, and infrastructure data into a database. The data were evaluated by using rule based system  by adopting rules on quality standards of study program of National Accreditation Board for Higher Education as the knowledge base. Evaluation process was carried out by using the forward chaining methods by matching the existing data to the knowledge base to determine the quality status of each quality standard. While the reccomendation process was carried out by using the backward chaining methods by matching the results of quality status to the desired projection of quality status to determine the nearest target which can be achieved. The result of the research is system of quality assurance evaluation with rule based system that is capable of producing an output system in the form of internal evaluation report and recommendation system that can be used to monitor the quality of higher education. 
PENERAPAN METODE ECONOMICAL ORDER QUANTITY UNTUK SISTEM STOK BARANG PENGGUDANGAN DENGAN MENGGUNAKAN TEKNOLOGI RADIO FREQUENCY IDENTIFICATION Istanto, Teddy
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.279 KB) | DOI: 10.21456/vol7iss1pp59-65

Abstract

The application of Economical Order Quantity method to stock warehouse system by using Radio Frequency Identification technology can provide information that can minimize stock availability in real time.  The research aims to develop the stock system using the methods of Economical Order Quantity, Reorder Point and Radio Frequency Identification technology. Computation of Economical Order Quantity is used per month with variables covering amount of raw material, ordering cost and storage cost. Reorder Point computation using lead time variable, raw material usage and safety stock. Safety stock is used if there is a delay in delivery of goods from suppliers, so it does not run out of raw materials and the company can still operate. The inventory data is obtained from transactions of incoming and outgoing goods which are recorded automatically when passing through Radio Frequency Identification reader. The computation of Economical Order Quantity, Reorder Point produces safety stock as output stock system. With the stock of goods in accordance with the fulfillment of Safety stock, then there is no delay in the delivery of goods from suppliers, so it does not run out of raw materials, after determination of the value of re-ordering.
IMPLEMENTASI METODE FUZZY TIME SERIES CHENG UNTUK PREDIKSI KOSENTRASI GAS NO2 DI UDARA Fathoni, M Yoka
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1298.327 KB) | DOI: 10.21456/vol7iss1pp17-23

Abstract

The forecasting process is essential for determining air quality to monitor NO2 gas in the air. The research aims to develop prediction information system of NO2 gas in air. The method used is Fuzzy Time Series Cheng method. The process of acquiring NO2 gas data is integrated with Multichannel-Multistasion. The data acquisition process uses Wireless Sensor Network technology via broadband internet that is sent and stored in an online database form on the web server. Recorded data is used as material for prediction. Acquisition result of  NO2 gas data is obtained from the sensor which is sent to the web server in the data base in the network by on line, then for futher it is predicted using fuzzy time series Cheng applying re-divide to the results of intervals the first partition of the value of the universe of discourse by historical data fuzzification to determine Fuzzy Logical Relationship dan Fuzzy Logical Relationship Group, so that is obtained result value prediction of NO2 gas concentration. By using 36 sample data of NO2 gas, it is obtained that the value of root of mean squared error of 2.08%. This result indicates that the method of Fuzzy Time Series Cheng is good enough to be used in predicting the NO2 gas.
RANCANG BANGUN SISTEM INFORMASI REMUNERASI JASA PELAYANAN RSUD KEPAHIANG BENGKULU MENGGUNAKAN METODE FAST Hendryani, Atika
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.401 KB) | DOI: 10.21456/vol7iss1pp9-16

Abstract

The good remuneration information system services can provide useful information for hospital administrators to evaluate employee performance. The aim of this research is to develop a remuneration system services to support employee performance evaluation Kepahiang Hospital. System development methods using FAST (Framework for the Application of Systems Thinking) / Framework for Application of Systems Thinking. Evaluation results of employee performance become the basis of government decision-makers to make improvements and reward. Data used in the research is the data of performance of employees and the amount of revenues from services. Remuneration information system services to produce output tables and graphs to support employee performance evaluation in hospitals Kepahiang for various levels of management. The quality of the information system of the proposed system is better than the old information system.
RULE BASED REASONING UNTUK MONITORING DISTRIBUSI BAHAN BAKAR MINYAK SECARA ONLINE DAN REALTIME MENGGUNAKAN RADIO FREQUENCY IDENTIFICATION Mustofa, Mokhamad Iklil
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (697.515 KB) | DOI: 10.21456/vol7iss1pp39-47

Abstract

The scarcity of fuel oil in Indonesia often occurs due to delays in delivery caused by natural factors or transportation constraints. Theaim of this  research is to develop systems of fuel distribution monitoring online and realtime using rule base reasoning method and radio frequency identification technology. The rule-based reasoning method is used as a rule-based reasoning model used for monitoring distribution and determine rule-based safety stock. The monitoring system program is run with a web-based computer application. Radio frequency identification technology is used by utilizing radio waves as an media identification. This technology is used as a system of tracking and gathering information from objects automatically. The research data uses data of delayed distribution of fuel from fuel terminal to consumer. The monitoring technique uses the time of departure, the estimated time to arrive, the route / route passed by a fuel tanker attached to the radio frequency Identification tag. This monitoring system is carried out by the radio frequency identification reader connected online at any gas station or specified position that has been designed with study case in Semarang. The results of the research covering  the status of rule based reasoning that sends status, that is timely and appropriate paths, timely and truncated pathways, late and on track, late and cut off, and tank lost. The monitoring system is also used in determining the safety stock warehouse, with the safety stock value determined based on the condition of the stock warehouse rules.
SISTEM OPTIMASI INVENTORY BERBASIS LAYANAN WEB DI PT PELITA BIRU Bakti, Cristeddy Asa
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (766.745 KB) | DOI: 10.21456/vol7iss1pp1-8

Abstract

Various types of LPG sold, requiring a precise inventory management, especially the facts on the ground are often encountered uncertainties include uncertainty of demand and the performance cycle. The aim of this research  is to develop  decision making system to optimize inventory by the Economic Order Quantity method based on the Bowersox formula by using the combining of variables for demand uncertainty and performance cycle. The system uses the web service media method for easy access and maintenance with centralized data on the server and users only use the existing browser. The method of categorizing goods uses the category ABC by dividing the type of goods into categories A (very important), B (important) and C (not important). The results provide safe inventory value calculations based on variables of  uncertainty and performance cycles. With the optimization resulting from this system, the company can maintain the availability of the goods by making appropriate arrangements, priorities, and the amount so as to minimize the occurrence of the possibility of excess and lack of stock.
IMPLEMENTASI RULE BASED EXPERT SYSTEMS UNTUK REALTIME MONITORING PENYELESAIAN PERKARA PIDANA MENGGUNAKAN TEKNOLOGI RADIO FREQUENCY IDENTIFICATION Fuah, Mar
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1664 KB) | DOI: 10.21456/vol7iss1pp73-79

Abstract

One of the problems in the criminal case completions is that the difficulty of making decision to estimate when the settlement of the case file will be fulfilled. It is caused by the number of case files handled and detention time changing. Therefore, the fast and accurate information is needed. The research aims to develop a monitoring system tracking and tracking of scheduling rules using Rule Based Expert Systems method with 17 rules, and supported by Radio Frequency Identification technology (RFID) in the form of computer applications. Based on the output of the system, an analysis is performed in the criminal case settlement process with a set of IF-THEN rules. The RFID reader read the data of case files through radio wave signals emitted by the antenna toward active-Tag attached in the criminal case file. The system is designed to monitor the tracking and tracing of RFID-based scheduling rules in realtime way that was built in the form of computer application in accordance with the system design. This study results in no failure in reading active tags by the RFID reader to detect criminal case files that had been examined. There were many case files handled in three different location, they were the constabulary, prosecutor, and judges of district court and RFID was able to identify them simultaneously. So, RFID supports the implementation of Rule Based Expert Systems very much for realtime monitoring in criminal case accomplishment.
VERIFIKASI SUARA MENGGUNAKAN JARINGAN SYARAF TIRUAN DAN EKSTRAKSI CIRI MEL FREQUENCY CEPSTRAL COEFFICIENT Kurniawan, Andi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (811.82 KB) | DOI: 10.21456/vol7iss1pp32-38

Abstract

Voice recording is an important part of the evidence for the suspect, so it is necessary to verify the voice suspects to prove the allegations of the suspect. The research aims to develop a voice verification system using artificial neural networks and extraction characteristics mel frequency cepstral coefficient. As the input data analyzed is the data of the unrecognized voice recorder of the owner and the recorded data of the sound that the owner has known as the comparison data. Data input is processed by feature extraction consisting of framing, windowing, fast Fourier transform, mel frequency wrapping, discrete cosine transform resulting in mel-frequency wrapping coefficient. The mel frequency wrapping coefficient of each frame in each input voice, is used as input on pattern recognition using artificial neural networks. The results of artificial neural networks are analyzed using decision logic to get a decision whether these two voices are the same or not. The output of the system is a decision that the tested sound is the same as or not with a voice comparison. Based on the level of compatibility of the test data produces a voice verification system with mel-frequency wrapping and artificial neural networks have a rate of 96% accuracy. The accuracy of the voice verification system can be an option to help resolve the issues in verification of voice recordings.

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