Garuda - Garba Rujukan Digital

Rima Liana Gema

Universitas Putra Indonesia “YPTK” Padang

Author-ID : 4217168

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Veterinary Other

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Articles

1

COMPARATIVE ANALYSIS OF PRODUCTION PREDICTION OF SILUNGKANG SONGKET AND PANDAI SIKEK SONGKET WITH MAMDANI FUZZY INFERENCE SYSTEM (FIS) METHOD Devia Kartika; Rima Liana Gema
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Fuzzy logic is widely applied in various fields, such as industry, communications, etc. Fuzzy logicwas developed to solve an obscure problem. The problem that arises in the production at MSMEsSongket Silungkang and Songket Pandai Sikek at this time is that there is no system used as areference in determining the amount of production in the future. Where this method can utilizedemand and supply data in the past which is then processed with fuzzy stages so as to produceproduction figures. The government has prioritized the development of the Silungkang songkethandicraft business, which is a regional specialty, in order to enter the export market. In the earlystages, the priority of the regional government was to increase the production of craftsmen byfacilitating coaching for micro, small and medium enterprises (MSMEs), especially those engaged insongket crafts, to continue to be developed by increasing quality and creativity. By applying theFuzzy Inference System method in predicting the production of Songket Silungkang KotaSawahlunto and Songket Pandai Sikek Kota Agam can help several parties such as the government,micro, small and medium enterprises in making efforts to handle and make good decisions towardsincreasing the production of Songket MSMEs in each region. and can provide a comparison of thepredicted results of production for the coming period so that it can produce the optimal number ofsongket based on market demand.

COMPARATIVE ANALYSIS OF PRODUCTION PREDICTION OF SILUNGKANG SONGKET AND PANDAI SIKEK SONGKET WITH MAMDANI FUZZY INFERENCE SYSTEM (FIS) METHOD Devia Kartika; Rima Liana Gema
Jurnal Ipteks Terapan Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Fuzzy logic is widely applied in various fields, such as industry, communications, etc. Fuzzy logicwas developed to solve an obscure problem. The problem that arises in the production at MSMEsSongket Silungkang and Songket Pandai Sikek at this time is that there is no system used as areference in determining the amount of production in the future. Where this method can utilizedemand and supply data in the past which is then processed with fuzzy stages so as to produceproduction figures. The government has prioritized the development of the Silungkang songkethandicraft business, which is a regional specialty, in order to enter the export market. In the earlystages, the priority of the regional government was to increase the production of craftsmen byfacilitating coaching for micro, small and medium enterprises (MSMEs), especially those engaged insongket crafts, to continue to be developed by increasing quality and creativity. By applying theFuzzy Inference System method in predicting the production of Songket Silungkang KotaSawahlunto and Songket Pandai Sikek Kota Agam can help several parties such as the government,micro, small and medium enterprises in making efforts to handle and make good decisions towardsincreasing the production of Songket MSMEs in each region. and can provide a comparison of thepredicted results of production for the coming period so that it can produce the optimal number ofsongket based on market demand.

MEASUREMENT OF INLIS APPLICATION QUALITY USING MCCALL METHOD Silfia Andini; Hari Marfalino; Rima Liana Gema
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 2 (2021): Vol. 15 No. 2 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

The Inlis application at the Archives and Library Office of West Sumatra Province is used to manage the lending and book return process carried out by each library member. With the library system, it can help the librarians to know the flow of books in and out of the delay in returning the library members to determine the fines to be paid by the members. Based on this the authors will measure the quality of the Library Information System because in this system the quality of the system is unknown, thus identifying the accuracy, completeness and quality of the software in the Inlis Application. The measurement method in this study is the McCall Method. The results based on the McCall Method show that the quality of the Inlis Application is good with a percentage value of 73%, with the best indicator value, namely reliability with a yield of 73% and the worst indicator value, ie with a result of 51%

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