Claim Missing Document
Check
Articles

Found 4 Documents
Search

IMPLIKATUR PERCAKAPAN PADA HUMOR DEWASA (SHIMONETA) DALAM SERIAL ANIME “SEITOKAI YAKUINDOMO” Prabowo, Dimas Aditya; Aibonotika, Arza; Rahayu, Nana
Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Vol 9, No 1 (2022): EDISI 1 JANUARI-JUNI 2022
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan

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

Abstract

Abstract: This study aims to determine the forms of conversational implicatures andviolations of the maxim of cooperation in humorous dialogues contained in the SeitokaiYakuindomo anime series. The research data contained in this study are humorousdialogues posed by the characters in the Seitokai Yakuindomo anime series and theresearchers found that there are two forms of conversational implicatures used in theadult humor dialogues, namely conventional implicatures and special conversationalimplicatures and there are forms of violation of maxims. The cooperation in the humordialogue includes the violation of the maxim of relevance and the violation of the maximof qualityKey Words: Adult Jokes (Shimoneta), Implication of Conversation, CooperativePrinciple
An Examination of the Impact of Using Marketplaces to Promote the Growth of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia Prabowo, Dimas Aditya; Tariazela, Chloe; Birgithri, Andzelika
Startupreneur Business Digital (SABDA Journal) Vol. 3 No. 1 (2024): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v3i1.483

Abstract

Marketplaces have become a critical component in the development of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. The availability of a marketplace platform has a substantial impact on MSMEs' growth. The purpose of this study is to assess the impact of marketplaces on the growth of MSMEs by taking into account the elements that influence their integration into the digital ecosystem. The quantitative methodology was utilized to collect data from MSME traders who used the marketplace to market their items. The marketplace's presence has greatly enhanced sales and had a favorable impact on their business operations. Market access is open from Sabang to Merauke thanks to the information technology network. This data is evaluated statistically to determine the association between market presence and MSME business growth. The findings of this study can help MSMEs gain a better understanding of how to use marketplaces to boost exposure, sales, and overall growth. The practical ramifications of this research are supposed to assist MSME owners in developing marketing strategies for their products and services via marketplace platforms. This research will also contribute to scholarly literature on the development of MSMEs in the digital era.
Foundations for AI Driven Communication Models Qualitative Analysis of Indonesian Language Adaptation E-Commerce Sunarya, Po Abas; Prabowo, Dimas Aditya; Angel, Mary; Fitriawati, Nora; Fernando, Erick; Susetyono, Eko; Madani, Muchlishina
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.798

Abstract

In the rapidly evolving digital economy, effective communication between sellers and customers on e-commerce platforms plays a pivotal role in shaping user experience and satisfaction. This study explores the adaptation of the Indonesian language within these interactions, focusing on the linguistic styles, usage patterns, and communication challenges faced by sellers and customers. Employing a qualitative descriptive approach, data were collected from direct conversations and product descriptions on leading Indonesian e-commerce platforms. Findings reveal a dominant use of semi-formal and informal language styles, enhanced by abbreviations, emojis, and popular digital jargon, which collectively foster a sense of familiarity and responsiveness. However, balancing language standardization with the demands for fast and engaging communication remains a significant challenge. The results underline the critical need for communication models that can adapt to the dynamic nature of digital discourse while maintaining clarity and politeness. This research lays the groundwork for developing intelligent communication systems powered by artificial intelligence, which can effectively interpret and generate contextually appropriate language in e-commerce settings. The insights gained here offer valuable foundations for future work in creating AI-driven tools aimed at enhancing digital customer engagement and satisfaction through culturally and linguistically aware communication strategies.
Mechanical Properties Analysis of Aluminum Alloy with Heat Treatment Variation Prabowo, Dimas Aditya; Dewanti, Rina Kusuma
RESWARA: Jurnal Riset Ilmu Teknik Vol. 3 No. 3 (2025): RESWARA: Jurnal Riset Ilmu Teknik, July 2025
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v3i3.448

Abstract

Heat treatment plays a critical role in controlling the mechanical performance of aluminum alloys used in structural, automotive, and aerospace applications. Variations in solution treatment, aging temperature, holding time, and cooling rate significantly influence strength, hardness, and ductility. This study aims to analyze the mechanical properties of aluminum alloys under different heat treatment conditions through a systematic synthesis of experimental findings reported in recent peer reviewed literature. The research applies a qualitative comparative method by examining tensile strength, hardness, fatigue resistance, and microstructural evolution across multiple aluminum alloy series, including 6xxx, 7xxx, and Al-Si based alloys. The results indicate that optimized heat treatment parameters consistently enhance mechanical properties, with tensile strength improvements ranging from 20 percent to over 50 percent depending on alloy composition and treatment route. Excessive aging or improper quenching, however, leads to strength degradation and reduced ductility. Comparative analysis confirms that precipitation hardening and controlled grain refinement are the dominant mechanisms governing performance improvement. This study provides a consolidated technical reference for selecting heat treatment parameters to achieve targeted mechanical properties in aluminum alloys and supports process optimization in industrial manufacturing.