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JURNAL SISTEM INFORMASI BISNIS

jsinbis
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Published by Universitas Diponegoro

ISSN : 20883587 EISSN : 25022377 DOI : -

Core Subject : Economy, Science,

Computer Science & IT Economics, Econometrics & Finance

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.

Arjuna Subject : -

Articles 290 Documents

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Sistem Informasi Kinerja Layanan Laboratorium Medis dengan Metode Six Sigma Dewi, Anindita Kusumastuti; Widiyanto, Ibnu
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Universitas Diponegoro

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.Â 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.Â

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

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.

Implementasi Model CCR Data Envelopment Analysis (DEA) Pada Pengukuran Efisiensi Keuangan Daerah Israwan, LM Fajar; Surarso, Bayu; Frikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Regional budget control system is implemented through an audit and evaluation to ensure that its implementation is in accordance with the plan that it can be efficiently and effectively used. Regional budget efficiency measurement then aims to measure the efficienty of budget use of each Regional Work Unit (SKPD) and to optimalize its use. The efficiency of Regional Work Unit is measured using CCR Data Envelopment Analysis (DEA) model with one input variable and eight output variables, in which this CCR DEA applies Linear Programming approach and evaluates relative efficiency of Decision Making Units (DMUs). The sample was in a total of sixteen DMUs. The result revealed that seven DMUs were efficient, in which their reference set was then used to optimalize the input and output variables of other inefficient DMUs. This result was validated through paired sample t-test, proving to meet the hypothesis of Ho -2,042 â‰¤ tcount â‰¤ 2,042 showing that CCR DEA can be used as a method to measure regional budget efficiency with accurate results.

Rancang Bangun Tata Kelola Kinerja Perguruan Tinggi Menggunakan IT Balanced Scorecard Solechan, Achmad; Prasandy, Teguh
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Budgeting most colleges are not based on good governance and conceptual, but based on short-term needs in each college. Other problems are related to the use of information technology in both hardware, software and brain ware (user) in the management of information technology is still not well-thought in its development. This research aims to design a wake-up governance by using the Information Technology IT Balanced Scorecard framework is a system of management, measurement and control quickly, accurately and comprehensively can provide insight to the Leadership of the portrait and the development of information technology in institution. Information system development using SDLC (system development life cycle). College performance measurement method using IT balanced scorecard framework. The results showed that the use of information systems governance college performance using IT Balanced Scorecard help the efficiency and effectiveness in making an evaluation report IT governance, helping the presentation of information and error reduction calculations, the transaction data maintained intact his security, was able to complete the reporting process with fast, speed up the calculation process and the conclusion of the assessment of the performance of the college.Â

Implementasi Metode Dempster Shafer Analytic Hierarchy Process Untuk Pemilihan Program Studi Calon Mahasiswa Pangestika, Menur Wahyu; Nurhayati, Oky Dwi; Suryono, Suryono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Methods Dempster Shafer Analytic Hierarchy Process is used to rank or sort information based on a number of criteria. DS/AHP advantage of Pairwise Comparison, Consistency Ratio, and Dempster Rule's of Combination, which is used to generate information systems in the form of a sequence of courses as consideration for the selection of majors for prospective students. The sample used in this study were 29 students of five faculty at the University of Diponegoro. The data used is the standard minimum value of each faculty and the average value of the semester report card 1-5 Mathematics, Indonesian, English, Biology, Chemistry, and Physics. Results of this study was the software selection study program that gives students the value of trust in each department. Testing the validity of the value of the accuracy of the system is done by comparing the majors were chosen with the recommendation majors produced by the system, resulting accuracy of 79.33%.

Penerapan Algoritma Minimax Pada Game Macan-macanan Santoso, Kartika Imam; Yunita, Farida; Kusumo, Nafi Projo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Lots of traditional games, but now the game is becoming obsolete. Many games were replaced with the modern game technology products. Modern games are becoming more practical because it did not require the terrain and many friends. Quite alone in front of the screen was a person may engage in an exciting game. One of the efforts to preserve and disseminate traditional games one of which is macan-macanan is to adapt the game into a computer game. This study aims to apply artificial intelligence using minimax algorithms and programming language ActionScript 3 in the game with a macan-macanan research methods are prototyping. The design used in this study is an artificial intelligence approach for representing the state, science, human computer interaction for designing the user experience, as well as the UML for object-based design. Results from this study is that in order to determine the value of the evaluation algorithm minimax for the end node / terminal state in the game macan-macanan, required the calculation of the total step is valid for each piece, as well as to pawn macan, necessary calculations springboard to a higher value and the weight difference the appropriate type of pawns.

Penentuan Prioritas Perbaikan Jalan Berbasis Metode Analytic Network Process Sebagai Komponen Menuju Kota Cerdas Wahyul Amien Syafei; Kusnadi Kusnadi; Bayu Surarso
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

Smart city become a demand for people to live in more comfort and easier. Knowledge is needed in every decision support system in smart city. This paper presents a research in determining the priority order of road handling based on level of service by using Analytic Network Process which is implemented into decision support systems as a component toward smart city. Variables used refers to the Highway Capacity Manual Indonesia based on the volume of traffic and the road characteristic data. Analytic Network Process is used because of its advantages in conducting multi-criteria assessment on the basis of the subjective judgment of decision makers and can combine quantitative and qualitative data. From the results of the validation test between the system output and outcome data field issued by Dishubinkom Cirebon, the accuracy of the test results of 10 streets in the city of Cirebon with validation test Spearman Rank correlation is equal to 0.867. The results showed Analytic Network Process can be implemented and an appropriate solution in determining the road handling priority.

Support Vector Machine Untuk Klasifikasi Citra Jenis Daging Berdasarkan Tekstur Menggunakan Ekstraksi Ciri Gray Level Co-Occurrence Matrices (GLCM) Neneng, Neneng; Adi, Kusworo; Isnanto, Rizal
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Texture is one of the most important features for image analysis, which provides informations such as the composition of texture on the surface structure, changes of the intensity, or brightness. Gray level co-occurence matrix (GLCM) is a method that can be used for statistical texture analysis. GLCM has proven to be the most powerful texture descriptors used in image analysis. This study uses the four-way GLCM 0o, 45o, 90o, and 135o. Support vector machine (SVM) is a machine learning that can be used for image classification. SVM has a high generalization capability without any requirement of additional knowledge, even with the high dimension of the input space. The data used in this study are the image of goat meat, buffalo meat, horse meat, and beef with shooting distance 20 cm, 30 cm and 40 cm. The result of this study shows that the best recognition rate of 87.5% was taken at a distance of 20 cm with neighboring pixels distance d = 2 in the direction GLCM 135o.

Model Servqual Rule Base Asean University Network untuk Penilaian Kualitas Program Studi Wijayanti, Esti; Farikhin, Farikhin; Gernowo, Rachmat
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

As well known that AUN (Asean University Network.AUN) and ABET (Accreditation Boardb for Enginnering and Technology) are non-profit organitatinon which have. AUN (Asean University Network) were using variable with refer to AUNâ€™s criteriaâ€™s there consist of fifteen which are: Expected Learning Outcomes, Programme Specification, Programme Structure and Content, Teaching and Learning Strategy, Student Assessment, Academic Staff Quality, Support Staff Quality, Student Quality, Student Advice and Support, Facilities and Infrastructure, Quality Assurance of Teaching/Learning Process, Staff Development Activities, Stakeholders Feedback, Output, Stakeholders Satisfaction,and adopted score's scale 7. In there here, we discuss the fifteen AUNâ€™s of AUN in the criterias. There servqual of as can be into five dimensions, assurance, empathy, responsive, reliability and facilty in order to make the assessment's process easier. This research outcome indicated that this proposed method can be used to evaluate an education program. The validation result by using AUN's data and the analysis of servqual rule base Asean University Network almost have the same pattern with correlation value is 0,985 and this is can be accepted because its validity have reach 97%.

Jaringan Syaraf Tiruan Perambatan Balik Untuk Pengenalan Wajah Saubari, Nahdi; Isnanto, Rizal; Adi, Kusworo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

This research discusses about face detection and face recognition in an image. Face detection has only two classifications, i.e face and not face. Face recognition is compatible with some classifications of a number individuals who want to be recognized. Face detection and face recognition in thi study using Haar-Like Feature method and Artificial Neural Network Backpropagation. A method Haar-Like Feature used for detection and extraction in an image, because the clasification on this method showed success at used to detect image of the face. Artificial Neural Network Backpropagation is a training algorithm that is used to do training simulated on facial image data training stored in a database. This study uses Ms. Excel 2007 as database with 10 individual sample image, every image in each individuals having three distance with every range has four defferent light intensities, so that the data training stored in the database reached 120 data training. The results shows that the face detection and face recognition which is developed can recognize a face image with an average accuracy rate reaches 80,8% for each distance.

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