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All Journal Japanese Literature Nusantara of Engineering (NOE) Research Horizon
Ade Kurniadi, Ade
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Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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ADVERBIA YANG TERBENTUK DARI X + PAR-NI DALAM KALIMAT BAHASA JEPANG Kurniadi, Ade; rosliana, lina; Ratna, Maharani
Japanese Literature Vol 2, No 1 (2016): Volume 2, Nomor 1, Tahun 2016
Publisher : Program Studi Sastra Jepang, Fakultas Ilmu Budaya, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (420.064 KB)

Abstract

The succession of this thesis is firstly collecting the reference and analyzing thedata. The data’s source of this thesis was gotten by EJJE.WEBLIO.JP,ALC.CO.JP and the other sources that has relation with adverb. The matter thatis discussed in this research is about the structure of adverb formed by adjectivana and noun followed by particle ni.Descriptive method is used in this research. The example of the adverb’s structureformed by noun that followed by particle ni such as, ima ni, ichido ni,isshioukenmei ni and the example of the adverb’s structure formed by adjective nathat followed by particle ni such as jouzu ni, kantan ni, shizuka ni.
Green Banking Strategy to Support Business Sustainability in Banking Sector: A Literature Review Kurniadi, Ade; Rahman, Andi Halim; Indriani, Farida
Research Horizon Vol. 4 No. 4 (2024): Research Horizon - August 2024 (Thematic Issue)
Publisher : LifeSciFi

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Public concern and awareness of climate change has made many business sectors start to think about implementing sustainability strategies in their business activities. Of course, this is related to accommodating the market for people who are already aware of environmental issues. In the banking world, this can mean using strategies to protect the environment, such as using digital technology to reduce paper use and reduce face-to-face meetings, which will indirectly have an impact on reducing carbon emissions in transportation modes. However, it turns out that excessive use of digital technology actually creates digital waste which has an equally negative impact on the environment. There is a need for a thorough understanding of the issue of digitalization which can be a double-edged sword for environmental sustainability. This research wants to see to what extent the banking sector in Indonesia has responded to this issue so that they can maintain their business while preserving the environment. This research uses a literature review method to search for broader information and filter it in order to see a bigger picture regarding banking sustainability strategies, Green Banking, throughout the world. Green banking implemented by banks can channel funds, especially on credit, to the community by implementing an eco-friendly environmental system.
ANALISIS HASIL KLASIFIKASI KUALITAS CABAI RAWIT MENGGUNAKAN METODE SUPPORT VECTOR MACHINE kurniadi, Ade; Kasih, Patmi; Farida, Intan Nur
Nusantara of Engineering (NOE) Vol 7 No 2 (2024): Volume 7 Nomor 2 - 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i2.22167

Abstract

This research aims to implement the Support Vector Machine (SVM) method in classifying cayenne pepper images based on their quality. A total of 800 images of cayenne pepper were collected and grouped into four quality classes, namely rotten, greenish, dry and ripe. The classification process using SVM involves a preprocessing stage, image segmentation with Canny edge detection, and model performance evaluation. Implementation is carried out through the development of a web application with several worksheets, including model training worksheets, classification process, classification results, evaluation and export. System testing involves alpha and beta functional testing. Alpha functional testing includes homepage display and navigation tests, model training process, image classification process, classification results, classification evaluation, and export of classification results. Beta functional testing is carried out by involving users who provide feedback through questionnaires. The test results show that the application succeeded in classifying the image of cayenne pepper with high accuracy and received a positive assessment from users. The results of the F1-Score calculation for SVM classification show good model performance, with F1-Score values ​​for each quality class of cayenne pepper as follows: Rotten (0.973), Greenish (0.979), Dry (1.0), and Ripe (0.972). Thus, this research contributes to the application of SVM for image classification of cayenne peppers with satisfactory results, as well as presenting a reliable application in supporting the quality analysis of cayenne peppers.
Co-Authors Farida Indriani Intan Nur Farida Lina Rosliana Maharani Ratna, Maharani Patmi Kasih Rahman, Andi Halim