Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan dan Pembelajaran Journal of Artificial Intelligence in Architecture
Heri Pramono
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Education

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PENINGKATAN KETERAMPILAN BERBICARA PADA PEMBELAJARAN BAHASA INDONESIA MENGGUNAKAN MEDIA AUDIO Pramono, Heri; ., Zainuddin; ., Suryani
Jurnal Pendidikan dan Pembelajaran Khatulistiwa Vol 2, No 9 (2013): September 2013
Publisher : Jurnal Pendidikan dan Pembelajaran Khatulistiwa

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

Abstract

Abstrak: Permasalahan pada penelitian ini adalah usaha untuk meningkatkan keterampilan berbicara peserta didik menggunakan media audio pada pembelajaran Bahasa Indonesia di Kelas IV sekolah dasar negeri 24 Simpang Hulu. Metode penelitian ini adalah metode deskriptif, bentuknya Penelitian Tindakan Kelas, dan sifat penelitian bersifat kolaboratif. Subjek penelitian guru, dan peserta didik Kelas IV Sekolah Dasar Negeri 24 Simpang Hulu yang berjumlah 15 orang. Teknik yang digunakan dalam penelitian ini adalah teknik observasi langsung dan alat pengumpul data yang digunakan adalah pedoman observasi. Hasil penelitian berdasarkan dari observasi dengan menggunakan media audio dalam pembelajaran Bahasa Indonesia dapat meningkatkan keterampilan berbicara. Berdasarkan uraian tersebut, secara umum penggunaan media audio dapat meningkatkan keterampilan berbicara peserta didik kelas IV SDN 24 Simpang Hulu. Dengan demikian media audio dapat digunakan saat proses pembelajaran Bahasa Indonesia untuk meningkatkan keterampilan berbicara. Kata kunci : Keterampilan Berbicara, Media Audio, Pembelajaran Bahasa Indonesia Abstract: The problem in this research is an attempt to improve the speaking skills of learners using audio media on learning Indonesian in Class IV primary schools 24 Simpang Hulu. This research method is descriptive, in a form of Classroom Action Research, and the nature of the research is collaborative research. The researchs subjects were teachers, and learners Elementary School Fourth Grade 24 Simpang Hulu, amounting to 15 people. The technique used in this study was the technique of direct observation and data collection tool was used as the observation guidelines. The results of research based on the observation by using audio media in learning Indonesian can improve speaking skills. Based on these descriptions, in general the use of audio media to enhance speaking skills of the fourth grade students of SDN 24 Simpang Hulu. Thus audio media can be used during the learning process to improve Indonesian speaking skills. Key Words: Speaking Skills, Media Audio, Indonesian Language
Application of Artificial Intelligence in Digital Architecture to Identify Traditional Javanese Buildings Sri Winiarti; Heri Pramono; Andri Pranolo
Journal of Artificial Intelligence in Architecture Vol. 1 No. 1 (2022): Artificial Intelligence for Enhancing Architectural Design
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v1i1.4916

Abstract

Traditional buildings have a cultural philosophy and characterize the culture of an area. The occurrence of environmental changes, population growth, and the growth of modern buildings impact traditional buildings. Therefore, preserving those traditional buildings is needed to avoid extinction and make as cultural assets. The research aims to develop an application to help architects quantitatively measure the content of traditional architectural styles in their designs. This study uses the Artificial Intelligence (AI) method to identify buildings' similarities, acquiring traditional building data in roofs and ornaments images as a dataset totaling 650 images of roofs and 7,180 ornaments. Data processing was carried out by making architectural models, training, testing accuracy, and creating application interfaces. The algorithm used to identify similarities between building types was the Convolutional Naural Network (CNN) and the Support Vector Machine (SVM). The results of the accuracy-test using the Confusion matrix method reached an accuracy value of 99.5% in identifying building similarities and 85% in classifying building types.
Co-Authors Andri Pranolo Sri Winiarti Suryani . Zainuddin .