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All Journal Jurnal Pendidikan Terbuka Dan Jarak Jauh Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika International Journal of Quantitative Research and Modeling SAGA: Journal of Technology and Information Systems Journal of Blockchain, Nfts and Metaverse Technology
Lintang Patria
Universitas Terbuka
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Physics

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Fuzzy Time Series Application in Predicting the Number of Confirmation Cases of Covid-19 Patients in Indonesia Lintang Patria
International Journal of Quantitative Research and Modeling Vol 2, No 4 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v2i4.194

Abstract

Forecasting is a statistical method that can use historical data patterns to predict future events. This article discusses the prediction of the number of new confirmed cases of Covid-19 patients in Indonesia. The data used is from January 1, 2021 to August 7, 2021. The methods used are Fuzzy Time Series (FTS) Chen (2014) and Cheng et al. (2008). FTS is a forecasting method that uses rules and logic on fuzzy sets. The level of prediction accuracy is then calculated based on the Mean Absolute Percentage Error (MAPE) value. The MAPE values of these two methods are then compared to know which method is more suitable in this case study. The results showed that FTS Chen produced an accuracy of 12.75% and FTS Cheng produced an accuracy of 14.27%. The results of this study indicate that FTS Chen and FTS Cheng produce good accuracy and can be used to predict new confirmed cases of Covid 19 sufferers in Indonesia.
Forecasting of the Cases of Covid-19 Patients in Indonesia using Fuzzy Time Series Lintang Patria
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.5446

Abstract

The main objective of this study is forecasting of the cases of covid-19 patients in indonesia using fuzzy time series. The data used is from February 1, 2022 to February 28, 2022. The methods used are Fuzzy Time Series (FTS) Chen and FTS Cheng, using first order and second order. FTS is a forecasting method that uses rules and logic on fuzzy sets. The level of prediction accuracy is then calculated based on the Mean Absolute Percentage Error (MAPE) value. The MAPE values of these two methods are then compared to know which method is more suitable in this case study. The results showed that Fisrt Order FTS Chen produced an accuracy of 4,21% and Fisrt Order FTS Cheng produced an accuracy of 4,22%. Second Order FTS Chen and Second Order FTS Chen produced/1the same MAPE, 1,23%./1The results of this study indicate that Second Order FTS Chen and FTS Cheng produce good accuracy and can be used to predict new confirmed cases of Covid 19 sufferers in Indonesia.
Faktor-Faktor yang Mempengaruhi Resistensi Mahasiswa Fakultas Sains dan Teknologi Universitas Terbuka Lintang Patria; Sri Utami; Deddy A Suhardi; Heny Kurniawati; Dian Nursantika
Jurnal Pendidikan Terbuka Dan Jarak Jauh Vol. 23 No. 2 (2022)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/ptjj.v23i2.3944.2022

Abstract

Pandemi Covid-19 berdampak signifikan terhadap pembelajaran mahasiswa di perguruan tinggi. Adanya Covid-19 yang berdampak pada berbagai bidang kehidupan dapat mempengaruhi ketahanan mahasiswa untuk kuliah di UT. Selama ini strategi pembelajaran, faktor sosiodemografi, layanan tutorial, kemampuan akademik dan kepuasan mahasiswa terhadap layanan UT telah mempengaruhi resiliensi mahasiswa. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi daya tahan mahasiswa Universitas Terbuka selama masa pandemi COVID-19. Analisis data dilakukan dengan menggunakan Confirmatory Factor Analysis (CFA). Hasil penelitian ini menyatakan bahwa kondisi sosial ekonomi pada masa pandemi Covid 19 dan strategi pembelajaran berpengaruh signifikan terhadap resistensi registrasi mahasiswa. Tingkat resistensi (mahasiswa registrasi ulang) dipengaruhi oleh kemampuan mengatasi kendala sosial ekonomi pada masa pandemi (Sosvid, 0,49), kemampuan akademik (0,38), kondisi layanan UT (-0,16), layanan tutorial-praktikum (-0,20), dan strategi pembelajaran (-0,44). Keluaran dari penelitian ini adalah rekomendasi perbaikan dan inovasi layanan FST UT selama pandemi.
Determining the Best Web Designer Using the SMARTER Method (Case Study: Website Development Service Provider) Patria, Lintang; Sitompul, Bernad J. D.; Marbun, Nasib
SAGA: Journal of Technology and Information System Vol. 2 No. 3 (2024): August 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i3.286

Abstract

This research aims to solve the problem of determining the best Web Designer objectively for website development service business activists. In this research, the author offers SMARTER as a decision support system method to produce a ranking of the best Web Designer alternatives to be selected by decision makers. The alternatives selected as the best Web Designer in this study consist of 5 candidates (AX1, AX2, AX3, AX4, and AX5). The criteria used in the process of determining the best Web Designer in this study are communication, ability to design websites, discipline, and loyalty. The results of the application of the SMARTER method in this study recommend alternative AX3 to the decision maker to be selected as the best web designer who is entitled to a reward
Selection of Digital Investment Instruments Applying the Multi-Objective Optimization by Ratio Analysis Method Patria, Lintang; Marbun, Nasib; Sitompul, Bernad J. D.; Simangunsong, Pandi Barita Nauli
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 1 No. 1 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v1i1.187

Abstract

Choosing a digital investment instrument to make digital investments is not easy because behind the expected profits are also accompanied by balanced risks. Therefore, not a few novice investors are confused to determine the choice of digital investment instruments that are most appropriate for use in the long term. In this study the authors applied the decision support system method (Multi-Objective Optimization by Ratio Analysis) to facilitate the decision-making process in choosing digital investments for novice investors. The results of this study indicate that Alternative A4 (Trading) with a value of 0.17097 has the highest value compared to other alternatives, so Alternative A4 (Trading) is the most recommended digital investment instrument for use by novice investors.
Co-Authors Deddy Ahmad Suhardi Dian Nursantika Heny Kurniawati Nasib Marbun Simangunsong, Pandi Barita Nauli Sitompul, Bernad J. D. Sri Utami