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All Journal Desimal: Jurnal Matematika Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Mushliha
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Humanities Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Analisa Kualitas Aplikasi Absensi Mobile Greatday untuk Mengukur Kepuasan Pengguna Mengunakan Metode Webqual 4.0: Penelitian Imam Budiawan; Fahrizal; Martua HamiSiregar; Mushliha; Hani Harafani; Ade Setiawan
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 3 No. 4 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 3 Nomor 4 (April 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v3i4.1447

Abstract

The online attendance application has now become one of the systems that is starting to be widely used by companies to support ease of work in carrying out attendance activities. Starting from daily absences, permit applications, leave applications, employee overtime data to attendance recaps which can be accessed easily to present a management report. The problem that occurs is that the information service often has errors, namely the Greatday mobile application still does not receive good service or is still less responsive to users who need good attendance information services. To measure user satisfaction of the Greatday mobile attendance application, accurate and appropriate methods and measuring tools are needed, such as Webqual 4.0. Based on the test results for the coefficient of determination (R Square), the figure 0.666, the coefficient of determination is equal to 66.6%. This figure means that usability (X1), information quality (X2) and interaction quality (X3) influence consumer satisfaction (Y). Meanwhile, the remaining 100% − 66.6% = 33.4% is influenced by other variables outside the variables that were not examined.
Uncovering the potential of mining stocks: Analysis of price prediction and fundamental performance using double exponential smoothing and discounted cash flow Kamila, Isti; Mushliha; Indrawan; Azka, Muhammad; Sembiring, Brema
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202528611

Abstract

The purpose of this research was to forecast the stock prices of the mining sector using the Double Exponential Smoothing method and to determine the intrinsic value of stocks using the Discounted Cash Flow method as a recommendation for investment decisions in stocks. The data used was secondary data consisting of closing prices and financial reports from 2022 to 2024 for 10 mining stocks listed on the Main Board of the Energy sector on the IDX website. Based on the results of determining the intrinsic value of the stocks using the DCF method, seven mining stock issuers were categorized as undervalued, namely ABMM, BUMI, BYAN, DEWA, GEMS, HRUM, and INDY, while three other stock issuers were categorized as overvalued, namely ADRO, DSSA, and ITMG. Based on the forecasting results using the Double Exponential Smoothing method, from the seven issuers in the undervalued category, there were two issuers, BYAN and DEWA, that have the potential to experience a price increase. The results of the stock price forecasting evaluation using MAPE show that it was categorized as very accurate with a MAPE value range of 0.6% to 3.5%.
Co-Authors Ade Setiawan Azka, Muhammad FAHRIZAL Hani Harafani Imam Budiawan Indrawan Isti Kamila Martua HamiSiregar Sembiring, Brema