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All Journal Prosiding Seminar Nasional Teknoka METIK JURNAL Journal of Basication (JOB) : Jurnal Pendidikan Dasar
Elsa Apriani
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering

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PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK BERBASIS PROJECT BASED LEARNING PADA PEMBELAJARAN IPA DI KELAS V Elsa Apriani; Amiruddin B.; Hikmawati
Journal of Basication (JOB) : Jurnal Pendidikan Dasar Vol. 7 No. 3 (2023): Journal of Basication (JOB) : Jurnal Pendidikan Dasar
Publisher : Jurusan PGSD FKIP Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36709/jobpgsd.v7i3.46

Abstract

Latar belakang penelitian ini adalah upaya mewujudkan pembelajaran mandiri bagi peserta didik. Belum dikembangkannya LKPD berbasis PjBL untuk melatih keterampilan interpersonal dan kemampuan bekerja sama peserta didik. Penelitian ini bertujuan untuk menghasilkan lembar kerja peserta didik berbasis Project Based Learning, mengetahui kelayakan lembar kerja peserta didik berbasis Project Based Learning yang telah dikembangkan. Penelitian yang dilakukan merupakan penelitian pengembangan (R&D) dengan model pengembangan ADDIE yang terdiri dari lima tahap, yakni Analyze, Design, Development, Implementation, dan Evaluation. Pada penelitian pengembangan ini, peneliti membatasi tahap pengembangan sampai pada tahap Development. Pengumpulan data dilakukan dengan pemberian lembar validasi kepada dosen ahli dan guru kelas V untuk menilai kelayakan produk yang telah dikembangkan dan angket respon kepada peserta didik untuk mengetahui respon peserta didik terhadap produk yang dikembangkan. Data yang diperoleh dianalisis secara deskriptif dengan teknik persentase. Hasil penelitian menunjukkan bahwa telah dihasilkan LKPD berbasis PjBL yang layak digunakan dalam pembelajaran IPA, ditinjau dari penilaian kelayakan oleh dosen ahli dan guru kelas V yang memperoleh persentase sebesar 88,28% dengan kriteria sangat layak dan LKPD berbasis PjBL mendapat respon positif dari peserta didik yang memperoleh persentase sebesar 99,21% dengan kriteria sangat baik.
Rancang Bangun Game Edukasi Ular Tangga Pajak (ARTAJAK) sebagai Media Interaktif untuk Menarik Kesadaran Pajak Anak Sekolah Dasar Elsa Apriani; Rahmi Imanda; Hafizh Dhery Al Assyam; Atsna Virayani Yusriy Widarey
Prosiding Seminar Nasional Teknoka Vol 8 (2023): Proceeding of TEKNOKA National Seminar - 8
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

In this era of the 4.0 industrial revolution, there are still many people who lack understanding about taxes. Due to this situation, early tax education is highly necessary. Because of the limited comprehension among children regarding the significance of the role of taxes, it greatly influences national development. Therefore, the objective of this research is to educate elementary school children through the creation of a snake-and-ladder game accompanied by quizzes about basic tax concepts. The development of this game employs the prototype research method as it helps developers work with users to effectively define system requirements, thereby minimizing system errors from the outset. The results of creating this game indicate that the developed game is able to enhance users' insights into tax knowledge and has been field-tested by 5 elementary school students to assess the success of the created ARTAJAK game.
Perancangan Sistem Pengenalan Tulisan Tangan pada Jawaban Esai Menggunakan Metode CNN-LSTM Berbasis Android Elsa Apriani; Pratiwi, Nunik
METIK JURNAL (AKREDITASI SINTA 3) Vol. 9 No. 2 (2025): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/wn518489

Abstract

Technological developments drive educational innovation, one of which is a handwriting recognition system to accelerate essay answer assessment. This study designs an Android application that recognizes students' handwriting using the Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) methods. The system was developed using a prototyping approach through the stages of identifying needs, designing interfaces, implementing features, and testing. The evaluation results showed an accuracy of 60.37%, Character Error Rate (CER) of 16.84%, and Word Error Rate (WER) of 78.41%. Although the WER is still high, character accuracy is good enough for the early stages of development and provides a promising basis for future system improvements. Testing using Black Box Testing ensures that all features run according to their functions. This system is expected to make it easier for teachers to correct essay answers more efficiently, quickly, and consistently, as well as support the digitalization of assessment in the educational environment.
Co-Authors Amiruddin B. Atsna Virayani Yusriy Widarey Hafizh Dhery Al Assyam Hikmawati Pratiwi, Nunik Rahmi Imanda