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All Journal IZUMI Jurnal Fisika Unand Media Ilmu Keolahragaan Indonesia
Dewi Anggraeni
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Earth & Planetary Sciences Electrical & Electronics Engineering Energy Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Physics Other

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Hidden Facts and The Representation of Indonesia within Mamiya Mosuke’s “Kichi no Seikatsu” Dewi Anggraeni
IZUMI Vol 10, No 2 (2021)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/izumi.10.2.278-291

Abstract

Despite witnessing modernization in Indonesia, nanpōchōyōsakka (South-dispatched writers) depicted Indonesians as people who remain undeveloped because of Western colonialism. This article argues that there must be “hidden facts” behind the representation of Indonesia within the writers’ works due to a mission of disseminating the idea of the Greater East Asia Co-prosperity Sphere. Using Mamiya Mosuke’s military essay “Kichi no Seikatsu” as the object of study, this article seeks to explain what kind of “Indonesia” Mamiya represents and the impact of such representation on “Indonesia” as a spatial concept by illuminating “hidden facts” behind his expressions. This article employs the concept of contact zone (Mary Louise Pratt) to view Indonesia as a social space already shaped by Dutch colonialism and uses sakuhinron method to analyze Mamiya’s expressions in representing Indonesia. Through analysis, Mamiya portrays Indonesians as reliant people and blames such conditions on the Dutch colonial policy while leaving local intellectuals and nationalist movements out of his narrative. This article concludes that Mamiya justifies the notion of the Greater East Asia Co-prosperity Sphere by denying Indonesian agency, gives an impression that Indonesians need Japanese guidance to stand on their own.  Keywords: Contact Zone; Kichi no Seikatsu; Mamiya Mosuke; Nanpōchōyōsakka; Representation   
Development of Pencak Silat Learning Media Based on Android Applications for Students Mujiburrahman; Yudhi Teguh Pambudi; Arfin Deri Listiandi; Rifqi Festiawan; Dewi Anggraeni
Media Ilmu Keolahragaan Indonesia Vol. 15 No. 2 (2025): December 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/miki.v15i2.10304

Abstract

Abstract Physical Education, Sports and Health still uses conventional approaches, such as lectures, discussions and assignments, but teachers have not used technology to improve their learning. The aim of this research is to create pencak silat learning media that students can use via an Android application. Research and development (R&D) is carried out using the ADDIE model, which consists of several stages: 1) Analysis (Analysis), 2) Design (Designing), 3) Development (Development), 4) Implementation (Application), and 5) Evaluation (Evaluation). This research used a sample of students from Madrasah Aliyah Negeri 3 Cilacap and Ma'arif NU 1 Kemranjen High School. Quantitative descriptive analysis was used to analyze the data. Based on the assessments of several experts—material, media, and language—it can be concluded that the learning media created is very suitable for use. The media expert's score was 87% with "very feasible" criteria, the material expert's assessment was 94% with "very feasible" criteria, the language expert's score was 100% with "very feasible" criteria, and the small and large scales test score was 91% with "very feasible" criteria.
Development of an Integrated Artificial Intelligence Model for Bottle Inspection Using Geometric Feature Extraction and ROI-Based Statistical Analysis Dewi Anggraeni; Santoso, Rikho Adi; Naba, Agus; Sakti, Setyawan Purnomo; Rianto, Sugeng
Jurnal Fisika Unand Vol 15 No 2 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.2.147-154.2026

Abstract

In the era of Industry 4.0, the demand for manufacturing systems that are fast, precise, and efficient has become increasingly urgent. This drives the adoption of artificial intelligence (AI) technologies as a promising solution, including in the field of automatic bottle sorting. However, many industries still use manual bottle sorting systems, which often have significant drawbacks. This study presents an integrated artificial intelligence (AI)-based inspection model for automated bottle inspection in the context of smart manufacturing. The proposed approach integrates geometric feature extraction with region-of-interest (ROI)-based statistical image analysis to improve classification accuracy and robustness. Geometric features extracted from bottle contours are combined with optimized ROI selection to enhance feature relevance prior to classification using a Random Forest algorithm. The dataset consists of four bottle types: plastic, glass, cans, and cardboard, captured under controlled imaging conditions. Experimental results show that the proposed integrated method achieves classification accuracy ranging from 96% to 97.72%. The findings confirm that ROI optimization significantly influences statistical feature characteristics and improves overall model performance. This integrated framework is suitable for implementation in automated visual inspection systems supporting Industry 4.0 applications.
Co-Authors Abdul Fadhil Agus Naba Ahmad ` Hakam Amaliyah Amaliyah Andy Hadiyanto Festiawan, Rifqi Listiandi, Arfin Deri Mujiburrahman Santoso, Rikho Adi Setyawan Purnomo Sakti Sugeng Rianto Yudhi Teguh Pambudi