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Setyono, R. Puji, Sarno, R..  2018.  Vendor Track Record Selection Using Best Worst Method. 2018 International Seminar on Application for Technology of Information and Communication. :41–48.
Every company will largely depend on other companies. This will help unite a large business process. Risks that arise from other companies will affect the business performance of a company. Because of this, the right choice for suppliers is crucial. Each vendor has different characteristics. Everything is not always suitable basically the selection process is quite complex and risky. This has led to a new case study which has been studied for years by researchers known as Supplier Selection Problems. Selection of vendors with multi-criteria decision making has been widely studied over years ago. The Best Worst Method is a new science in Multi-Criteria Decision Making (MCDM) determination. In this research, taking case study at XYZ company is in Indonesia which is engaged in mining and industry. The research utilized the transaction data that have been recorded by the XYZ company and analyzed vendor valuation. The weighting of Best Worst Method is calculated based on vendor assessment result. The results show that XYZ company still focuses on Price as its key criteria.
Mutiarachim, A., Pranata, S. Felix, Ansor, B., Shidik, G. Faiar, Fanani, A. Zainul, Soeleman, A., Pramunendar, R. Anggi.  2018.  Bit Localization in Least Significant Bit Using Fuzzy C-Means. 2018 International Seminar on Application for Technology of Information and Communication. :290-294.

Least Significant Bit (LSB) as one of steganography methods that already exist today is really mainstream because easy to use, but has weakness that is too easy to decode the hidden message. It is because in LSB the message embedded evenly to all pixels of an image. This paper introduce a method of steganography that combine LSB with clustering method that is Fuzzy C-Means (FCM). It is abbreviated with LSB\_FCM, then compare the stegano result with LSB method. Each image will divided into two cluster, then the biggest cluster capacity will be choosen, finally save the cluster coordinate key as place for embedded message. The key as a reference when decode the message. Each image has their own cluster capacity key. LSB\_FCM has disadvantage that is limited place to embedded message, but it also has advantages compare with LSB that is LSB\_FCM have more difficulty level when decrypted the message than LSB method, because in LSB\_FCM the messages embedded randomly in the best cluster pixel of an image, so to decrypted people must have the cluster coordinate key of the image. Evaluation result show that the MSE and PSNR value of LSB\_FCM some similiar with the pure LSB, it means that LSB\_FCM can give imperceptible image as good as the pure LSB, but have better security from the embedding place.

Utama, K. D. B., Al-Ghazali, Q. M. R., Mahendra, L. I. B., Shidik, G. F..  2017.  Digital signature using MAC address based AES-128 and SHA-2 256-bit. 2017 International Seminar on Application for Technology of Information and Communication (iSemantic). :72–78.

Digital signatures now become a crucial requirement in communication and digital messaging. Digital messaging is information that is very vulnerable to be manipulated by irresponsible people. Digital signatures seek to maintain the two security aspects that cryptography aims, such as integrity and non-repudiation. This research aims to applied MAC address with AES-128 and SHA-2 256 bit for digital signature. The use of MAC address in AES-128 could improve the security of the digital signature because of its uniqueness in every computer which could randomize the traditional processes of AES. SHA-2 256-bit will provides real unique randomized strings with reasonable speed. As result the proposed digital signature able to implement and work perfectly in many platforms.

Idayanti, N., Dedi, Nanang, T. K., Sudrajat, Septiani, A., Mulyadi, D., Irasari, P..  2016.  The implementation of hybrid bonded permanent magnet on permanent magnet generator for renewable energy power plants. 2016 International Seminar on Intelligent Technology and Its Applications (ISITIA). :557–560.

{This paper describes application of permanent magnet on permanent magnet generator (PMG) for renewable energy power plants. Permanent magnet used are bonded hybrid magnet that was a mixture of barium ferrite magnetic powders 50 wt % and NdFeB magnetic powders 50 wt % with 15 wt % of adhesive polymer as a binder. Preparation of bonded hybrid magnets by hot press method at a pressure of 2 tons and temperature of 200°C for 15 minutes. The magnetic properties obtained were remanence induction (Br) =1.54 kG, coercivity (Hc) = 1.290 kOe, product energy maximum (BHmax) = 0.28 MGOe, surface remanence induction (Br) = 1200 gauss