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All Journal Jurnal Mangifera Edu Jurnal Pengabdian Masyarakat Indonesia (JPMI) Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA) Saqbe : Jurnal Sains dan Pembelajarannya
Meili Yanti
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Education Environmental Science Library & Information Science 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
Analysis of Computer-Based Teaching Materials in Biology Learning Using Bibliometric Tools (Application of the SLNA Method) Hizqiyah, Ida Yayu Nurul; Mia Nurkanti; Armansyah Putra; Nurul Syifa; Meili Yanti; Nia Nurdiani
Jurnal Mangifera Edu Vol 7 No 2 (2023): Jurnal Mangifera Edu
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mangiferaedu.v7i2.156

Abstract

Penelitian ini termasuk ke dalam penelitian kualitatif deskriptif dengan menggunakan metode SLNA yang bertujuan untuk mengetahui hasil analisis bahan ajar berbasis komputer pada pembelajaran bioteknologi. Bahan ajar berbasis komputer berisikan materi-materi ajar dengan menggunakan komputer sebagai media pembelajaran efektif. Subjek penelitian ini yaitu bahan ajar komputer pada pembelajaran bioteknologi itu sendiri. Pada penelitian ini juga peneliti melakukan analisis sebanyak 25 artikel yang telah difiltrasi berdasarkan topik bahan ajar komputer. Analisis tersebut dimuat dalam beberapa komponen seperti judul, tahun, doi, author, metode, hasil analisis, dan kesimpulan. Penelitian ini menggunakan Bibliometrix tools (Aplikasi metode SLNA) sebagai media yang digunakan dalam menganalisis artikel-artikel tersebut. Dari penelitian ini maka diperoleh kesimpulan penggunaan bahan ajar komputer menghasilkan pengaruh positif yang hasilkan yaitu bersifat efektif dan fleksibel dalam pembelajaran bioteknologi karena dapat memvisualisasikan materi ajar kedalam bentuk gambar, video, suara sehingga memberi kesan yang tidak membosankan saat kegiatan pembelajaran berlangsung.
Apis Mellifera Animal Study in a Role Perspective Using the Bibliometrix Tools (SLNA Method Application) Hizqiyah, Ida Yayu Nurul; Armansyah Putra; Meili Yanti; Unayah; Mia Nurkanti; Nia Nurdiani
Jurnal Mangifera Edu Vol 7 No 2 (2023): Jurnal Mangifera Edu
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mangiferaedu.v7i2.159

Abstract

There is no research on the study of Apis mellifera using bibliometrix tools. This study aims to determine the results of the study of Apis mellifera in a role perspective using Bibliometrix Tools. This study uses an approach that uses the Systematic Literature Network Analysis (SLNA) method assisted by bibliometrix tools in the form of four applications OpenRefine, VOSviewer, Bibliometrix, and Tableau Public. The data source used is the Scopus database. This study uses a confirmability test. Journals that publish many articles about Apis mellifera include Apidologie, Insects, and Scientific Reports. Authors who publish a lot of articles about Apis mellifera include Neumann P number 32, Chen Y and Le Conte Y number 20. The years that published a lot of articles about Apis mellifera are 2021 and 2020. The theme network consists of 5 clusters the farther the distance between topics it means that people rarely research about the topic/theme. Apis mellifera is the dominant pollinating insect that helps in the process of pollinating many plants such as blueberries and other roles, namely as medicine, from propolis to honey bee cocoons. Meanwhile, the detrimental role caused by Apis mellifera honey bees and other pollinating insects is as a vector of diseases that causes the carrying of bad bacteria that can attack plants which of course will reduce production yields.
Identifikasi Materi Fisika pada Asesmen Literasi Sains Internasional Citra Amalia; Niken Yuni Astiti; Meili Yanti
Saqbe: Jurnal Sains dan Pembelajarannya Vol 1 No 1 (2024): Saqbe : Sains dan Pembelalajarannya (Maret 2024)
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artikel ini bertujuan untuk memetakan soal – soal PISA 2015. PISA adalah sebuah program berkelanjutan jangka panjang yang mengarah pada sekumpulan informasi untuk memantau tren pengetahuan dan keterampilan siswa diberbagai negara. Penilaian dari PISA fokus pada beberapa mata pelajaran inti seperti sains, membaca dan matematika. Pengumpulan informasi pada artikel ini menggunakan teknik kajian studi pustaka, dimana sumber inti yang digunakan adalah draft soal PISA tahun 2015. Setelah dikaji, konten materi fisika terdiri dari enam tema yaitu (1) Bahan bakar, (2) Erupsi vulkanik, (3) Air tanah dan gempa bumi, (4) Pembangkit listrik (5) Adjustable glasses dan (6) energi efisien. Keenam materi tersebut dianalisis dengan menggunakan silabus SMP kurikulum 2013. Sebagai kesimpulan, dalam pembuatan soal PISA menggabungkan beberapa kompetensi dasar dan bersifat lebih aplikatif.
Co-Authors Armansyah Putra Citra Amalia Fachry Abda El Rahman Ida Yayu Nurul Hizqiyah Mia Nurkanti Nia Nurdiani Niken Yuni Astiti Nurul Syifa Open Darnius Sitti Sapiah Unayah