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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Jurnal Ilmu Komputer dan Informasi Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Knowledge Engineering and Data Science JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) EPIC : Journal of Electrical Power, Instrumentation and Control Jurnal Karinov Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal INOVTEKSeri Elektro Belantika Pendidikan Letters in Information Technology Education (LITE) Jurnal Graha Pengabdian SinarFe7 Prosiding Seminar Nasional Pengabdian Kepada Masyarakat JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Jurnal Inovasi Teknologi dan Edukasi Teknik Prosiding Seminar Nasional Pengabdian kepada Masyarakat (SINAPMAS) Journal of Engineering and Science Application
Slamet Wibawanto
Universitas Negeri Malang
Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Belantika Pendidikan

 1 
Implementasi Model MPI untuk Pengembangan Modul Mata Kuliah Analisis dan Desain Sistem Informasi di S1 Pendidikan Teknik Informatika UM Muhammad Aditya; Slamet Wibawanto; Gunawan Gunawan
Belantika Pendidikan Vol 3, No 2 (2020)
Publisher : Kayon Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47213/bp.v3i2.93

Abstract

Penelitian ini bertujuan untuk mengembangkan bahan ajar modul cetak pada mata kuliah ADSI di S1 Pendidikan Teknik Informatika UM dengan menerapkan kompetensi berdasarkan kurikulum Pendidikan Teknik Informatika UM tahun 2019. Pengembangan bahan ajar modul cetak dirasa tepat karena sesuai dengan karakterisik mahasiswa yang akan mengambil mata kuliah ADSI. Model penelitian dan pengembangan yang diterapkan adalah Model Pengembangan Instruksional (MPI). Model ini dipilih karena langkah pengembangannya lengkap namun fokus untuk mengembangkan bahan ajar hingga siap digunakan. Selain itu, model ini dipilih karena menyediakan rancangan urutan kegiatan pembelajaran yang sesuai dengan karakteristik mata kuliah ADSI. Teknik analisis  data  dilakukan  dengan  menggunakan teknik deskriptif  kuantitatif. Hasil menunjukkan secara keseluruhan produk bahan ajar modul cetak yang dikembangkan mendapatkan persentase 88,15%, yang berarti sangat valid, atau sudah dapat digunakan
Analisis ChatGPT dan Perplexity pada Mata Pelajaran Dasar Program Keahlian dengan Jaccard Similarity Kirana, Kartika Candra; Prasetya, Januari Adi; Wibawanto, Slamet
Belantika Pendidikan Vol 6, No 1 (2023)
Publisher : Kayon Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47213/bp.v6i1.315

Abstract

ChatGPT and Perplexity are two applications that can be utilized to develop learning materials. However, no research has measured the completeness of material produced by artificial intelligence. Thus, this research aims to analyze ChatGPT and Perplexity as the material collection tool. The material completeness is measured using Jaccard Similarity which compares objects with intersection. Assuming that material completeness can be measured through the intersection of the same material, Jaccard Similarity is proposed with three material search trials using core competencies, basic competencies, and core materials. It was implemented in the Electrical Power Installation Engineering learning material. Then, Jaccard Similarity is analyzed with teacher validation. The result shows that ChatGPT and Perplexity achieved the highest assessment in core material searching, reaching similarity up to 72.40â„… and 47.67% respectively. Both validations reached 80% and 70% respectively. It was concluded that ChatGPT was superior to Perplexity and the best keywords based on the core material.
Co-Authors A.N. Afandi A.N. Afandi Achmad Hamdan Achmad Safi Ahmad Hamdan Amalia Beladinna Arifa Andri Nugroho Anik Nur Handayani Anjar Afif Afandi Aripriharta - Asfani, Khoirudin Azhar Ahmad Smaragdina Aziz Prapta Dira Aziz Prapta Dira Cahyono, Gigih Prasetyo Chusna, Chufadatul Eris Dewi Septiawan Rizal Faidzin, Ilham Faiz Syaikhoni Faiz Syaikhoni Aziz Faiz Syaikhoni Aziz Faiz Syaikhoni Aziz, Falah, Moh. Zainul Filsafalasafi, Alfi Gigih Prasetyo Cahyono Gigih Prasetyo Cahyono Gunawan Gunawan Gushardana, Raffi Taufiq Haidir Ahmad Hakkun Elmunsyah Hani Ramadhan Hari Putranto Heru Wahyu Herwanto I Made Wirawan Ira Kumalasari Kartika Candra Kirana Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo M Rodhi Faiz M. Rodhi Faiz Mardji Mardji Milenia, Herpri Mohamad Rodhi Faiz Muhammad Aditya Nia Arlika Nidhom, Ahmad Mursyidun Ningrum, Gres Dyah Kusuma Nur Hidayah Nur Hidayat, Wahyu Prasetya, Januari Adi Prasetya, Luhur Adi Rachmawati Rachmawati Rachmawati, Nur Sita Yunia Raffi Taufiq Gushardana Riza Ahmad Zakaria Rizka Rahmania Ameilia Septyawan, Eggy Catur Setiadi Cahyono Putro Shofiea, Maulida Siti Zumaroh Sujito Sujito Sujito Sujito Susilo, Suhiro Wongso Syaad Patmanthara Syah, Abdullah Iskandar Thoriq Bachtiar Yusuf Ekananda Wahyu Sakti Gunawan Irianto Yogi Dwi Mahandi Yuni Rahmawati Yusuf Ekananda, Thoriq Bachtiar Zory Satrio Nugroho