e-Journal Universitas Indraprasta PGRI (Persatuan Guru Republik Indonesia)
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Pengaruh Persepsi Atas Media Pembelajaran dan Motivasi Kerja Terhadap Keterampilan Literasi Digital
Tujuan yang ingin dicapai dalam penelitian ini adalah untuk mengetahui 1). Pengaruh persepsi Atas Media Pembelajaran dan motivasi kerja secara bersama-sama terhadap Keterampilan Literasi Digital; 2). Pengaruh persepsi Atas Media Pembelajaran terhadap Keterampilan Literasi Digital; 3). Pengaruh motivasi kerja terhadap Keterampilan Literasi Digital. Penelitian menggunakan pendekatan kuantitatif dengan analisis regresi ganda. Penelitian dilaksanakan pada guru SMP Negeri di kota Balikpapan, Kalimantan Timur pada tahun pelajaran 2021/2022. Sampel dalam penelitian ini berjumlah 101 orang guru sebagai sampel penelitian menggunakan teknik simple random sampling dengan regresi linier berganda. Analisa data diolah menggunakan SPSS 26. Instrumen yang digunakan dalam bentuk angket. Berdasarkan hasil hipotesis dan analisa data dapat disimpulkan sebagai berikut : 1). Terdapat pengaruh yang signifikan persepsi atas media pembelajaran dan motivasi kerja terhadap keterampilan literasi digital. 2). Terdapat pengaruh yang signifikan persepsi atas media pembelajaran terhadap keterampilan literasi digital. 3). Terdapat pengaruh yang signifikan motivasi kerja terhadap keterampilan literasi digital
PENGARUH PENGETAHUAN LINGKUNGAN HIDUP DAN ETIKA LINGKUNGAN TERHADAP PELESTARIAN LINGKUNGAN SEKOLAH (Studi pada SMA Negeri di Kabupaten Bekasi)
PENGARUH PERHATIAN ORANG TUA DAN KEDISIPLINAN BELAJAR TERHADAP PRESTASI BELAJAR MATEMATIKA
Penerapan Metode Convolution Neural Network (CNN) Dalam Proses Pengolahan Citra Untuk Mendeteksi Cacat Produksi Pada Produk Masker
A mask manufacturer in Indonesia with a production of 4 million masks per day for various types of masks. However, in the production process there are still many defective and unsalable masks that enter the stock of goods to be sent, this is due to the quality control process that is still manual. So that to reduce product defects, it is necessary to mitigate by creating a system that can detect defective products, to facilitate the quality control process, an intelligent computing system is needed so that it is expected to reduce mask production defects to build this computational model will be carried out in several stages. The first stage will be a field study to obtain samples of defective and perfect products. The second stage builds a computational model, this model is built based on the Convolution Neural Network (CNN) method and the third stage builds a system that suits the needs in the field and tests the system against the company's needs. The purpose of this research is to produce a good and perfect defective product detection system so that it can be useful for reducing defective products that pass the quality control stage. From this research, if the process is run by entering existing data, it produces an accuracy percentage of 99% of the 750 data tested. While in real time testing, a percentage of 96.4% was obtained using 28 data
Representation of a Dystopian Society in the novel The City of Ember by Jeanne DuPrau
This study uses a qualitative descriptive method to describe the representation of a dystopian society and its structure in the novel The City of Ember by Jeanne DuPrau. The aims of this study are (1) to describe a dystopian society that has to adapt to living underground city in the novel The City of Ember by Jeanne DuPrau and (2) to describe the social structure of a dystopian society in the novel The City of Ember. The Structuralism approach is used as the theory approach by focusing on three aspects from Tzvetan Todorov: syntactic aspect, semantic aspect, and verbal aspect. The first data is taken from the novel The City of Ember and the second sources are taken from other supporting books, journals, and articles