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All Journal TONGKONAN: Jurnal Pengabdian Masyarakat Mathematical Journal of Modelling and Forecasting
Mada, Grandianus
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Workshop Penggunaan Microsoft Excel dalam Pembuatan Aplikasi E-Rapor bagi Guru-guru di Wilayah Insana Tengah Mada, Grandianus; Sikas, Oktovianus R.; Luan, Faustianus
TONGKONAN: JURNAL PENGABDIAN MASYARAKAT Vol 2 No 1 (2023): Tongkonan: Jurnal Pengabdian Masyarakat
Publisher : FKIP UKI TORAJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (307.897 KB) | DOI: 10.47178/tongkonan.v2i1.2021

Abstract

Pengabdian ini dilaksanakan di Laboratorium Komputer SMA Negeri Insana Tengah, Kabupaten Timor Tengah Utara. Tujuan pelaksanaan pengabdian ini adalah untuk mengajarkan para guru tentang dasar-dasar operasi Microsoft Excel dan penerapannya dalam perancangan e-rapor siswa. Metode yang digunakan dalam kegiatan ini adalah workshop dan pendampingan berkelanjutan. Hasilnya para guru lebih memahami fungsi-fungsi pada Microsoft Excel yang bermanfaat dalam proses pengisian rapor siswa, setiap guru berhasil membuat e-rapor mereka masing-masing, mereka setuju bahwa e-rapor dengan Microsoft Excel lebih efisien dan efektif daripada pengisian rapor secara manual (konvensional) serta akan menggunakan e-rapor di sekolah mereka masing-masing.
The Comparison of Parameter Estimation in Exponential Distribution using Maximum Likelihood Method and Bayesian Method Mada, Grandianus; Salsinha, Cecilia Noviyanti; Mun, Beatrix Farena
Mathematical Journal of Modelling and Forecasting Vol. 1 No. 1 (2023): June 2023
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v1i1.2

Abstract

This study aims to compare the parameter estimation process on the exponential distribution using the maximum likelihood method and the Bayesian method on service data at Bank BRI Atambua Branch. The result of processing data on 100 service time data obtained parameter values for the maximum likelihood method = 0,050942 and the Bayesian = 1,0008. By using the Akaike Information Criterion (AIC) feasibility test for these parameters, the AIC value for the maximum likelihood method was 797,4122 and the AIC value for the Bayesian method was 3.931,1002 so it can be concluded that the maximum likelihood method is better used to estimate parameters than Bayesian method.
Co-Authors Luan, Faustianus Mun, Beatrix Farena Salsinha, Cecilia Noviyanti Sikas, Oktovianus R.