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Implementation helpdesk system using information technology infrastructure library framework on software company

IOP Conference Series: Materials science and Engineering 2018年第1期420卷

作者： Abba Suganda Girsang Yohan Kuncoro Melva Hermayanty Saragih Ahmad Nurul Fajar Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia 11480 Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480

As a company which relates its customer service, a software company (this case is PT Boon Software) is induced to give the good service to its customer. The existing information technology (IT) system service is made by patchwork. It brings some problems in service catalog, problem managment, change management, and service level agreement (SLA). The purpose of this research is to implement helpdesk system to software company with Information Technology Infrastructure Library (ITIL) framework as a standard reference to solve various problem related information technology service on a company. This research starts by investigation all stakeholders of the company with some questionnares. Implementation ITIL is strated by finding the gap between the current condition and the standard base line in ITIL. After implementation IT service using ITIL, the stakeholders are asked the same questionnares. The result shows that there is significant different before and after implementing system service using ITIL.

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Mobile Expert System Using Fuzzy Tsukamoto for Diagnosing Cattle Disease

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Procedia computer science 2017年 116卷 27-36页

作者： Suharjito Diana Yulyanto Ariadi Nugroho Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jl kebon jeruk RayaNo 27 Jakarta 11480 Indonesia Computer Science Department School of Computer Science - Bina Nusantara University Jl KH Syahdan 9 Jakarta 11480 Indonesia

Handling reproductive disorders in the cattle farming businesses is still ineffective due to a lack of information about the treatment of cattle, which has led to a significant decline in meat production. To reduce the impact of reproductive disease, it is necessary to perform detection and early treatment to prevent significant losses and a wider spread of the disease. This article explains the application of an expert system that provides a means of consultation imitating the reasoning process of an expert in solving complex problems concerning the health of cows reproduction. We will apply Fuzzy Tsukamoto method to help diagnose the level of risk of disease in cattle based on six clinical symptoms. The result of this research is a mobile expert system that will conclude the level of risk of endometritis disease in cattle. This mobile application is developed based on android, for ease of use, and can be used by farmers in making the diagnosis by themselves. The validation results of this expert system show that the system is able to determine the level of risk of endometritis for cow’s reproduction disease.

关键词： Expert system fuzzy logic tsukamoto cattle disease

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The data warehouse for down payment administration in the Constitutional Court of Republic of Indonesia

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IOP Conference Series: Materials science and Engineering 2018年第1期420卷

作者： Abba Suganda Girsang Sani Muhamad Isa Nanda Adytiansya Oei Kurniawan Utomo Janner Simarmata Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Universitas Negeri Medan Medan Indonesia

The Constitutional Court of The Republic of Indonesia is an institution which has authority to judge and examine constitutions. In this institution, each component has responsibility to manage their own finance and budgeting. Based on this case, they need a solution to summarize the amount and absorption of the budget in every component. This paper proposes a solution to design a data warehouse model to process and analyse the down payment administration data. The nine steps design methodology for developing data warehouse is implemented in this work. This paper aims to bring some benefit for The Constitutional Court, especially in form of information about down payment absorption for every component each year. The result is presented in form of pdf report and informative dashboard using data warehouse tools.

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Fuzzy eco-DSM for treating medical waste

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IOP Conference Series: Earth and Environmental science 2018年第1期195卷

作者： Ditdit Nugeraha Utama Eri Rustamaji Amelia Fauziyah Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Information System UIN Syarif Hidayatullah Jakarta Indonesia

Decision support model (DSM) is familiarly applied in a lot of areas and issues. The model is commonly benefited by decision maker to solve semi / unstructured problems. One of them should be used to treat medical waste by considering six selected parameters and three decision alternatives. In this study, environmental issue is main concerned aspect that the constructed model consequently becomes ecological DSM (eco-DSM). Three main methods are operated to construct the model; they are fuzzy logic, Euclidean distance, and full-factorial optimization methods. The model is analysed and designed via object oriented method. Lastly, the study shows simulation results based on empirical data of medical waste from one class 'A' state hospital in Jakarta, Indonesia.

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Fuzzy eco-DSM for road traffic engineering

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IOP Conference Series: Earth and Environmental science 2018年第1期195卷

作者： Ditdit Nugeraha Utama Sofie Nurlatifani Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Information System UIN Syarif Hidayatullah Jakarta Indonesia

Numerous efforts have been reasonably done to eliminate the road traffic congestion, however it occurs every working day, particularly in metropolitan. This study positively proposed a model which is not only able to show the effect of road traffic congestion ecologically, but also can recommend the strategy for road traffic engineering with methodically elaborating the environmental attributes as a dominant aspects considered. It is called as ecological decision support model (eco-DSM). To construct the model, two main methods were operated and combined: fuzzy logic and water flow algorithm (WFA). The method fuzzy logic exploited to exterminate the bias facet on parameters, and the WFA utilised to model the road traffic congestion and vehicle flow and to optimize its velocity based on emission calculation. The constructed model itself was designed thru the method object oriented, and the empirical road traffic congestion data of the Juanda Street in Tangerang Selatan city were functioned. Finally, the model showed the simulation result for suggesting the best decision alternative for road traffic engineering.

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The implementation of computer based instruction model on Gost Algorithm Cryptography Learning 2

The implementation of computer based instruction model on Go...

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2nd Nommensen International Conference on Technology and Engineering, NICTE 2018

作者： Limbong, Tonni Simarmata, Janner Tambunan, A.R.S. Siagian, Parulian Panjaitan, Joel Siagian, Lestina Sitorus, Erbin Sakti Hutabarat, Marvin Frans Girsang, Abba Suganda Lumbanbatu, Katen Universitas Katolik Santo Thomas Jalan Setia Budi No. 479 F Tanjung Sari Tj. Sari Medan Selayang Medan20132 Indonesia Universitas Negeri Medan Jalan Willem Iskandar Pasar V Medan20221 Indonesia Universitas HKBP Nommensen Jalan Sutomo No.4A Perintis Medan Timur Medan20235 Indonesia Akademi Teknik Deli Serdang Jl. Sultan Hasanuddin Tj. Garbus Satu Lubuk Pakam Deli Serdang20518 Indonesia Institut Sains Dan Teknologi TD Pardede Jl. Dokter TD Pardede No. 21 Medan Baru Medan20152 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia STMIK Kaputama Jl. Veteran No. 4A - 9A Tangsi Binjai20714 Indonesia

The objective of this study is to develop learning media by using the computer Based Instruction (CBI) model for GOST algorithm cryptographic material (Gosudarstvennyi Standard). Besides, the study serves to present learning using computer media, especially in the Informatics Engineering study program. The method used in this study uses the Research and Development (R & D) method. The results of this development research are learning media products in the form of tutorial CDs with the contents of the material: GOST Cryptographic Theory, Encryption Process and Decryption process using alphabet text data. Based on the results of the application and testing of the program, it can be concluded that this application is easy to use. Learning the Gost algorithm in the encoding method utilizing the computer Based Instructions (CBI) method helps to understand the material and facilitate the learning process. © Published under licence by IOP Publishing Ltd.

关键词： Cryptography

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Crowdsourcing annotation system of object counting dataset for deep learning algorithm

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IOP Conference Series: Earth and Environmental science 2018年第1期195卷

作者： Tjeng Wawan Cenggoro Fidelson Tanzil Ayu Hidayah Aslamiah Ettikan Kandasamy Karuppiah Bens Pardamean Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 NVIDIA Corporation Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia 11480

Deep Learning is currently the state-of-the-art technique for various computer Vision tasks, including object counting. Despite of its high performance, Deep Learning requires a gigantic amount of training data to show its best result. Getting this massive data in reasonable time requires a proper strategy such as crowdsourcing. However, in case of object counting, we found no crowdsourcing system able to effectively collect necessary data. To tackle this problem, we develop a crowdsourcing system to annotate image for object counting dataset. This system is also equipped with validation system to ensure the quality of collected dataset.

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Blowfish algorithm and Huffman compression for data security application

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IOP Conference Series: Materials science and Engineering 2018年第1期453卷

作者： Yaya Sudarya Triana Astari Retnowardhani Faculty of Computer Science Universitas Mercu Buana Jakarta Indonesia Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University

In its development, information technology has become an important in people's everyday lives. Security and confidentiality of the data on computer networks today become a very important issue and continues to grow. Some of the cases relating to computer network security today become a job that requires handling fee and security has been tremendous. Vital systems, such as the defense system, the banking system, the hospital system, and other systems, requires such a high level of security. This is mainly due to the advancement of the field of computer networks with the concept of open system so that anyone, anywhere and at any time, have the opportunity to access these vital areas. To maintain the security and confidentiality of messages, data, or information in a computer network would require some encryption to create messages, data, or information that is not read or understood by any person, except for eligible recipients.

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The prediction of scholarship recipients in higher education using k-Nearest neighbor algorithm

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IOP Conference Series: Materials science and Engineering 2018年第1期434卷

作者： D Kurniadi E Abdurachman H L H S Warnars W Suparta Department of Informatics Sekolah Tinggi Teknologi Garut Jalan Mayor Syamsu 1 Garut 44151 Indonesia Department of Computer Science Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta 11480 Indonesia

This article aims to implement the algorithm model of k-Nearest Neighbor (k-NN) in analyzing, predicting, and classifying students who have potentials to get scholarships in universities. The k-NN algorithm works by making a prediction based on the closest data points between the old data history as training data and the new data as testing data. The data collected totals 1018 students with 24 scholarship receiver candidate students are used as the dataset for the test purposes. The attributes used in the prediction process are a semester, parents' income, number of family dependents, and Cumulative Grade Point Average. The distance calculation of the value from testing attribute to each training attribute uses Euclidean Distance equation, while the test of the model accuracy value is calculated using Confusion Matrix. The results of the simulation of the prediction model show that the determining factor of training data from both the number and the variation of different values can improve the performance of the k-NN algorithm with the best accuracy rate of 95.83 percent in predicting students who have the greatest chance of getting the scholarship.

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Genetic variation of somaclonal mutants from the 8th generation of Pekalongan accession rodent tuber (typhonium flagelliforme lodd.) based on RAPD-PCR analysis

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IOP Conference Series: Earth and Environmental science 2018年第1期195卷

作者： Ragapadmi Purnamaningsih Nesti Fronika Sianipar Khoirunnisa Assidqi Harco Leslie Hendric Spits Warnars Indonesia Center for Agricultural Biotechnology and Genetic Resources Research and Development (BB-Biogen) Bogor 16111 Indonesia Food Technology Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Research Interest Group Food Biotechnology Bina Nusantara University Jakarta 11480 Indonesia Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta 11480 Indonesia

Rodent tuber is a potential plant which can be developed as an anticancer drug. The rodent tuber plant has a low anticancer compound which does not have an economic value to be utilized on an industrial scale, particularly to explore as an anticancer drug. The material plant was used 30 clones of Rodent Tuber Pekalongan to increase its bioactive compounds using a combination of in vitro culture with gamma-ray irradiation. The selection process has been done until the 8th generation and obtained 14 somaclonal mutants that have higher bioactive compounds than control plant (non-mutant). This study aimed to analyze the genetic variation of 14 somaclonal mutants of rodent tuber using RAPD with 14 primers. The results were produced 513 total bands with the size of 200-5000 bp and 380 polymorphic bands between somaclonal mutants. OPB-18 primer produced the most polymorphic bands and five specific polymorphic bands of 1336 bp, 1070 bp, 901 bp, 861 bp and 728 bp in the somaclonal mutant M23 (20-4-2-1-1-1). OPD-20 primer produced seven specific polymorphic bands of 1574 bp, 1557 bp, 1501 bp, 1496 bp, 1234 bp, 1229 bp and 1086 bp in the M23 somaclonal mutant. The phylogenetic analysis showed that there were two main groups with the coefficient similarity between 0.77 and 0.83. The highest genetic variation obtained was found in the M23 somaclonal mutant with a genetic difference of 23% compared with control. There are five somaclonal mutants (M24, M22, M21, M16, M14) that have a genetic variation of up to 22% over the control. This study shows that OPB-18 and OPD-20 primers were efficient in detecting somaclonal mutant variants.

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