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Improving Student’s Motivation and Learning Outcomes through Canva in English Learning at Middle Schools Pratama, Ferdian Rizki; Hikmat, Mauly Halwat
Journal of English Language Teaching and Linguistics Journal of English Language Teaching and Linguistics, 9(3), December 2024
Publisher : Yayasan Visi Intan Permata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21462/jeltl.v9i3.1381

Abstract

Increasing student motivation and learning outcomes can be done by utilizing technology in the learning process. The objective of this study was to describe students' perspectives on the use of the Canva in English class. The type of research was descriptive qualitative. The subjects of the study were students of class VIII of SMP Muhammadiyah 7 Surakarta. The sampling method used purposive sampling. Data collection techniques used questionnaires, observations, and interviews. Before the instrument was used, validation was carried out by experts (supervisors), and the collected data was validated using source triangulation and triangulation of data collection methods. Data analysis used qualitative analysis. The results of the study were: (1) Teachers use Canva in English classes for three reasons. First, to display learning materials interactively. Second, to create interesting worksheets. Third, for students to do assignments with Canva; (2) Students' perspectives on Canva as a mediua in English classes showed good results. Students agreed and gave positive responses regarding Canva as a media in learning English. Students agreed that Canva is a good mediua to use in learning English. The conclusion is that the use of Canva as a learning media can increase students' learning motivation and learning outcomes. The implication of the results of this study is that teachers can use the Canva application as a learning medium.
Sosialisasi pengolahan diverifikasi garam pangan (yodium dan fortifikasi ikan pepetek) untuk meningkatkan nilai jual garam di Desa Pesanggrahan-Madura Salsabila, Marwa; Sultoni, Zahri Adelina; Samad, Novi Wandari; Kartika, Yemima Anindya; Ilhami, Salju Qolbi; Santoso, Moch. Bachtiar Eka; Riqin, Mohammad Haris; Septiana, Dita; Putra, Martha Anugrah Panca; Cahyono, Andree; Pangestuti, Sukma Ayundya; Ali, Abdul Warits Riyadi; Maulana, Aqil; Arifin, Samsul; Pratama, Ferdian Rizki; Asih, Eka Nurrahema Ning
Penamas: Journal of Community Service Vol. 4 No. 2 (2024): Penamas: Journal of Community Service
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/penamas.v4i2.1160

Abstract

Intensive salt production using tunnels by salt farmers in Pesanggrahan Village is not optimal and is inversely related to the low selling price of salt in the village. The purpose of this socialization effort is to introduce the use of filters in salt ponds to improve the quality of kerosok salt production in tunnels and to provide guidance on verifying the types of iodine-enriched salt and fortified salt produced from tunnel salt. This activity involved five partners: three salt farmer groups (Makmur, Al-Islah, and Melati), the PKK women's group, and the Pesanggrahan Village Youth Organization. The community service activities included socialization and counseling on producing iodized and fortified salt in Pesanggrahan Village. The Likert scale survey results conducted after the socialization showed that 87% of participants understood the importance of using filters in the tunnels, while 13% did not. Additionally, 90% of participants understood how to make food-grade salt, while 10% still lacked this understanding.
PREDIKSI HARGA SAHAM PT TELKOM MENGGUNAKAN METODE CNN-LSTM Pratama, Ferdian Rizki; Santoso, Budi; Kacung, Slamet
Journal of Information System Management (JOISM) Vol. 7 No. 1 (2025): Juni
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2025v7i1.2087

Abstract

PT Telkom sebagai perusahaan informasi dan komunikasi terbesar di Indonesia, memiliki harga saham yang menarik minat investor. Penelitian ini bertujuan untuk mengembangkan aplikasi yang mampu memprediksi harga saham PT Telkom menggunakan metode CNN-LSTM. Tantangan dalam memprediksi harga saham meliputi volatilitas pasar, keterbatasan data historis, dan kompleksitas faktor-faktor yang mempengaruhi harga. Metode CNN digunakan untuk mengenali pola spasial dalam data, sementara LSTM mengatasi masalah vanishing gradient dan menangkap dependensi jangka panjang. Model CNN-LSTM diuji dengan berbagai kombinasi hyperparameter, termasuk learning rate (0.001, 0.0001, dan 0.0005), kernel size (3, 5, dan 7), dan jumlah epoch (30, 50, dan 100). Hasil terbaik diperoleh dengan konfigurasi learning rate 0.0005, kernel size 7, dan 100 epoch, yang menghasilkan nilai Mean Absolute Error (MAE) sebesar 56.13, Root Mean Squared Error (RMSE) sebesar 75.75, dan koefisien determinasi (R²) sebesar 0.973. Hasil ini menunjukkan kemampuan prediksi yang baik dari model. Penelitian ini diharapkan dapat memberikan solusi bagi investor dalam memprediksi harga saham PT Telkom dan membantu pengambilan keputusan investasi.