Garuda - Garba Rujukan Digital

Yennimar, Yennimar

Unknown Affiliation

Author-ID : 1218790

Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

Published : 3 Documents Claim Missing Document

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Articles

Decision Support System for Determining Land Priority for Housing Development Using Fuzzy Analytical Process (Fuzzy-AHP) Method Simarmata, Allwin M; Yennimar, Yennimar
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

The National Housing Development Public Corporation (Perumnas) was established as a government solution in providing adequate housing for the middle to lower classes, to realize this, Perumnas set a target of building 100,000 houses / year. The aspect of development is to ensure that all communities occupy decent homes in a healthy environment, an increase in the number of residents in the city, especially the city of Medan, causes settlement problems because the area of land is a fixed factor, while the population is always growing, thus requiring a system that can help decision in determining the priority of land for housing development. In this study an analysis of patterns related to applicable criteria or rules is implemented by applying the Fuzzy Analytical Hierarchy Process (Fuzzy-AHP) method, to produce accurate and effective information for making priority decisions on the location of the best residential development land. The analysis framework uses a data collection approach sourced from Public Relations, then an analysis is carried out to determine the criteria, rules and standards used, then a system is built by implementing the Fuzzy-AHP method to produce optimal alternatives that can be used as information. Alternative results will be evaluated by quantitative and qualitative analysis compared to the existing system. The developed system is expected to be used as a tool in decision making in the Regional Sumatra Regional Public Corporation I company that is optimal according to the criteria, rules or standards used. Data collection using the method of literature study, observation, interviews, and sampling. This research is expected to be one of the references in the application of decision support systems in a real scope and contribute to building a constructive community culture based on logical and scientific values.

Comparison of Machine Learning Classification Algorithms in Sentiment Analysis Product Review of North Padang Lawas Regency Yennimar, Yennimar; Rizal, Reyhan Achmad
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

The growth of SMEs in Indonesia, which has increased by 6% every year, is driven by continued growth by many parties, including the government and private institutions that often conduct business coaching and assistance. Problems that are often encountered are the lack of willingness of MSME business practitioners to apply information technology and the internet, besides that most of them live in rural areas with very limited internet access and many are not yet digital-literate, adequate digital technology utilization capabilities and the will of business people For SMEs to understand customer needs, a service that is consistent with standard service procedures will give a good impression and pay attention to customer feedback. This research was conducted by collecting data on MSME products obtained from the North Padang Lawas District Trade Industry Office followed by the development of a Paluta Market website as a marketplace for media promotion and marketing of MSME products in North Padang Lawas by applying a sentiment analysis approach using machine learning classification algorithm to produce product rating values based on public opinion of MSME products contained on the website, in addition the system is able to classify consumer comment data on MSME products from various sources from the umkm web, so that it becomes useful information for MSME businesses especially in North Padang Lawas Regency and the community at large. The results of the application of sentiment analysis of a product on the Paluta Market website can be used as a reference in improving service and product quality, so as to create a variety of new opportunities that are profitable for MSME businesses.

Implementation Of Extreme Learning Machine Method With GVF Snake For Character Recognition: Implementation Of Extreme Learning Machine Method With GVF Snake For Character Recognition Yusna, Pradana; Yennimar, Yennimar
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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In everyday life, sometimes it is necessary to change the contents of the printouts of certain documents, but the digital files from the printed documents have been lost. Retype the document manually will certainly spend a lot of time making it inefficient. To solve this problem, the printed document can be scanned into a digital image file and a character recognition system is implemented to recognize the characters contained therein. In this study, the Gradient Vector Flow Snake (GVF Snake) method is used to determine the boundaries of an object based on the computed vector gradient in the form of binary or gray-level values ??obtained from an image with several frameworks. After that, the Extreme Learning Machine (ELM) method will be used to predict the characters that have been broken up by the GVF Snake method. The results of this study are software that applies the GVF Snake and ELM methods to perform the character recognition process of an image printed by a document.

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