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All Journal Jurnal Pengabdian Masyarakat Indonesia (JPMI) Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA)
Meili Yanti
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Mathematics Social Sciences Other

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Workshop Pembuatan E-Modul berbasis Canva Haryanti Putri Rizal; Sitti Sapiah; Meili Yanti
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 2 No. 3 (2023): Oktober : Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpmi.v2i3.2555

Abstract

Teachers are currently required to be able to develop students' skills to face the challenges of the 21st century. Teaching materials are one of the important learning support elements that need to be continuously developed, in the form of books, modules, videos and infographics. Community service with the title workshop on making Canva-based E-Modules at SDN 49 Pasanggarahan, Majene district was appointed as an effort to increase teacher competence in making E-Modules that are more interesting and interactive than if they were made in Ms Word. In the process of making it, teachers are also expected to be more adept at sorting essential material and according to the cognitive stages of elementary school students. The method used is the training method, namely providing material presentation accompanied by training for teachers regarding creating E-Modules using the Canva application. The results of this activity showed that overall the activity was in line with participants' expectations (71%) and participants strongly agreed that the workshop held could improve participants' abilities regarding creating Canva-based e-modules (79%).
Penaksiran Parameter Pada Distribusi Erlang Berdasarkan Metode Maksimum Likelihood Dengan Menggunakan Algoritma Newton Raphson Dan Fisher Scoring Meili Yanti; Open Darnius
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 2 No. 1 (2023): April : Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v2i1.720

Abstract

The Erlang distribution is a special case of the Gamma distribution with the k shape parameter and the λ rate parameter. In this study, the parameter estimation of the Erlang distribution was carried out using the Maximum Likelihood method. In maximizing the function, an implicit and non-linear form is obtained, then it is solved using the Newton Raphson algorithm. Apart from Newton Raphon, the estimation of parameters was also carried out using the Fisher Scoring algorithm. The Fisher Scoring algorithm is similar to the Newton Raphson algorithm, the difference is that Fisher Scoring uses an matrix information. The result of parameter estimation in Erlang distribution using Newton Raphson algorithm which is applied to outgoing telephone call data that generated by Matlab R2010a software cannot be done simultaneously. Therefore, the parameter assessment is carried out on the k parameter first, then followed by the λ parameter estimation and the parameter and = 0.6886812 are obtained. Meanwhile, the parameter estimation using the Fisher Scoring algorithm produces an equation that is not different from the Newton Raphson algorithm
Co-Authors Haryanti Putri Rizal Open Darnius Sitti Sapiah