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All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL RISET AKUNTANSI JAMBI Jurnal PADI (Pengabdian mAsyarakat Dosen Indonesia)
Corry Sormin
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Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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PELATIHAN ANALISIS REGRESI DENGAN SOFTWARE STATISTIK UNTUK MENINGKATKAN KUALITAS PENELITIAN DOSEN POLITEKNIK KESEHATAN JAMBI gusmi kholijah; Niken Rarasati; Corry Sormin; Gusmanely Z; Jevi Perdana
JURNAL PADI (Pengabdian mAsyarakat Dosen Indonesia) Vol 6 No 1 (2023): Jurnal PADI (Pengabdian mAsyarakat Dosen Indonesia) Vol. 6 No. 1
Publisher : STKIP PGRI Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51836/jpadi.v6i1.585

Abstract

Lecturer is a profession that has the obligations of the Tridharma of Higher Education. Tridharma includes teaching, research and community service. Each tridharma element must be properly measured as the performance of a lecturer. Lecturer performance in research can be assessed from the quality of the output. The outputs of lecturer research activities are required to be published so that they can be known and become a public reference. Thus, published research results must be properly presented. Problems were found in analyzing the data by the lecturers of the Health Polytechnic of the Jambi Ministry of Health when carrying out the research. So far, data analysis has been limited to analysis of variance (ANOVA). The drawback in using analysis of variance alone in research is that errors will appear in drawing conclusions. Therefore, to overcome these problems, regression analysis training was held to improve the quality of lecturer research at the Jambi Ministry of Health Polytechnic as a form of dedication by lecturers from Jambi University. The activities carried out were in the form of workshops and practice of regression analysis for health cases using Minitab and SPSS software, besides that, interpretation of the results was also carried out. The community service activities carried out were carried out according to the plan, then this activity received a good response from the lecturers at the Jambi Health Polytechnic. This training activity also provides opportunities for communication and collaboration between lecturers from different fields and agencies. Keywords: Regression Analysis, Minitab, Community Service, SPSS
Implementasi Metode Exponensial Smooting dalam Memprediksi Harga Logam Mulia Emas Optimasi Abadi (Eoa Gold) Gusmanely.Z; Gusmanley; Corry Sormin
JURNAL RISET AKUNTANSI JAMBI Vol. 6 No. 1 (2023): JURNAL RISET AKUNTANSI JAMBI
Publisher : LPPM Universitas Adiwangsa Jambi

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Abstract

Precious metals are one of the best investment choices and are currently still the prima donna in people's lives. The development of the times has caused precious metals, especially bars, to appear with various brands, one of which is Eoa Gold, which has advantages over other LMs. The price of precious metals always changes from time to time and the demand for it in Indonesia is increasing, so one solution is needed, namely forecasting Gold prices in Indonesia. This aims to find out the price of precious metals that will come. The forecasting method in this study uses the Single Exponential Smoothing method which can perfect a forecasting result by smoothing past values which function to produce forecasting values. The data used is time series data from January 1 2022 to December 31 2022 for 12 months. Then, in this study, the SES analysis uses the parameters dan ,, then evaluates the error value of the forecasting results with the Mean Absolute Percentage Error (MAPE). The lowest MAPE results obtained were when the parameter for all Eoa Gold sizes with values of 0,44%, 0,43%, 3,74% and 0,51%. Based on the MAPE value criteria, it is concluded that the Single exponential smoothing method is very accurate in forecasting the price of Eoa Gold.
Fuzzy Time Series Model Lee Dalam Memprediksi Nilai Ekspor di Indonesia Nanda, Yulanda Rahmadiyah; Syamsyida Rozi; Corry Sormin; Yuliana Safitri
Jurnal PROCESSOR Vol 19 No 2 (2024): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2024.19.2.1794

Abstract

− Exports are an important indicator in the Indonesian economy. In April 2022, the Central Bureau of Statistics (BPS) reported that Indonesia's export value reached USD 27.32 billion, an increase of 47.76% compared to the previous month. Unstable export values are influenced by exchange rate fluctuations, changes in market demand, and other external factors, making business planning and trade between countries difficult. This study aims to predict the value of Indonesian exports using Lee's Fuzzy Time Series method and measure its accuracy with Mean Absolute Percentage Error (MAPE). The data used is secondary data from BPS, covering export values from January 2021 to February 2024. The steps in this method include determining the universe set, interval formation, fuzzy set, fuzzification of data, determination of Fuzzy Logic Relationship (FLR), formation of Fuzzy Logic Relationship Group (FLRG), defuzzification, and prediction results. the results showed that prediction with Fuzzy Time Series Lee has an error rate of 5.1568% (MAPE), which is in the excellent category. The predicted value of Indonesia's exports for March 2024 is US$ 21,850.69 million.
Co-Authors Gusmanely Z Gusmanely.Z Gusmanley Gusmi Kholijah Jevi Perdana Nanda, Yulanda Rahmadiyah Niken Rarasati Syamsyida Rozi Yuliana Safitri