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Menampilkan 1–10 dari 58 artikel
Klasifikasi Jenis Bunga Menggunakan Algoritma Convolutional Neural Network (CNN)
Ade Irgi Firdaus
; Ade Irgi Firdaus
; Dwi Okta Djoas
; Riefaldi Diofano Saputra
; Indry Anggraeny
; Hilda Apriliya Ningsih
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
This research aims to develop a multiclass flower image classification system using the Convolutional Neural Network (CNN) algorithm with the EfficientNet architecture. The main problem addressed is the difficulty of manual identification of flower species that share high visual similarity. The research stages include collecting 17,299 flower images across 19 classes, performing data preprocessing such as image resizing, pixel normalization, and augmentation, followed by model training using the...
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Nilai Edukatif dan Kearifan Lokal dalam Puisi Lampung untuk Pembentukan Karakter Peserta Didik SD
Andi Widiono
; Muhamad Alfarisi
; Ade Gunawan
; Adya Rosa Prasasti
; Fikriana Fikriana
; Titin Sarwendah
; Lutfi Guntur Eka Putra
; Aminuddin Maharani Abdullah
Inspirasi Dunia: Jurnal Riset Pendidikan dan Bahasa
Vol 4
, No 4
(2025)
Learning Indonesian language and literature in elementary schools plays an important role in shaping students' character through the integration of literary works based on local culture. Lampung poetry as a representation of local wisdom contains educational values, such as religiosity, respect for parents, polite language, mutual cooperation, and environmental awareness. This study aims to describe the educational values and local wisdom in Lampung poetry and their relevance to the character...
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ANALISIS KEBUTUHAN AIR BERSIH PAMSIMAS “SENDANG LUMINTU” DESA SENDANGKULON KECAMATAN KANGKUNG KABUPATEN KENDAL MENGGUNAKAN EPANET 2.0
Journal of Civil Engineering and Technology Sciences
Vol 4
, No 1
(2025)
Air bersih merupakan kebutuhan pokok yang sangat penting bagi kehidupan manusia. Seiring dengan pertambahan dan perkembangan penduduk kebutuhan akan air bersih juga semakin meningkat, untuk itu perlu dilakukan analisis terhadap sistem jaringan perpipaan eksisting. Penelitian ini dilakukan dengan bantuan Pamsimas Sendang Lumintu Desa Sendangkulon Kecamatan Kangkung yang bertujuan untuk mengetahui kondisi eksisting sistem jaringan perpipaan Pamsimas Sendang Lumintu untuk tahun 2024 , mengetahui be...
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CHILD ABUSE EFFECT ON MAIN CHARACTER’S MENTAL HEALTH IN MOVIE "JOKER" : Bahasa Indonesia
English Research Journal : Journal of Education, Language, Literature, Arts and Culture
Vol 9
, No 2
(2025)
This research describes how Joker movie's portrayal of main character’s mental health was affected by child abuse. Descriptive qualitative method was employed in this study. It concentrated on the effects of child abuse. The Joker movie and its script were used as the research data. The researcher obtained well-structured, conveniently analyzed research data by note-taking, documentation the investigation, and acquired still photos from movies. The psychoanalysis theory of Sigmund Freud (1960) p...
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AN ANALYSIS OF INDIRECT SPEECH ACT IN BLACK PANTHER : WAKANDA FOREVER MOVIE
English Research Journal : Journal of Education, Language, Literature, Arts and Culture
Vol 9
, No 1
(2025)
This research was conducted to analyze and find out the speech act that occured in Black Panther : Wakanda Forever’s movie. In this research, the objectives of the research are as follows (1) To analyze the types of indirect speech act uttered by characters in Black Panther : Wakanda Forever Movie. (2) To analyze the illocutionary act of indirect speech act from each utterance that implied in Black Panther : Wakanda Forever Movie.
The researcher conducted this research in the library of Slamet R...
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GRAMMATICAL CHALLENGES IN TRANSLATING WAYANG ORANG SCRIPTS: A CASE STUDY ON OMISSION AND MISFORMATION ERRORS
English Research Journal : Journal of Education, Language, Literature, Arts and Culture
Vol 9
, No 1
(2025)
This study examines grammatical errors in the translated scripts of Wayang Orang Sriwedari by MBKM Matching Fund students at Universitas Slamet Riyadi Surakarta. Using Dulay et al.’s (1982) Surface Strategy Taxonomy, the analysis focuses on Omission and Misformation errors, which frequently occur in the texts. Omission errors (54 cases) involve missing auxiliary verbs and prepositions, while Misformation errors (52 instances) result from incorrect verb forms and article usage, affecting readabil...
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Inovasi Gizi Berbasis Pangan Lokal Melalui Integrasi Budi Daya Ikan dalam Galon (Budikdamlon) dan Hidroponik dalam Pencegahan Stunting
Daffina, Fabian
; Ghazali, Fabian Daffina
; Salsabil, Shafa Rizki
; Regista, Diofania
; Erlangga, Ferdian
; Karim, Choirul Abdul
; Maharani, Yashinta Intan
; Wijanarko, Clara Nur Steviyani
; Ananda, Okta Azrul
; Awalin, Lintang Daystinaya
; Kuncoro, Theopillus Nathanael
; Indreswary, Nadya Mesayu
; Nugroho, Ferdiantoro Asa
; Ruyaya, Ika Aftunifi
The Community
Vol 2
, No 1
(2025)
Stunting merupakan salah satu masalah gizi kronis yang berdampak serius terhadap kualitas sumber daya manusia di masa depan. Kondisi ini tidak hanya menghambat pertumbuhan fisik anak, tetapi juga memengaruhi perkembangan kognitif, produktivitas, dan kesejahteraan sosial ekonomi. Berdasarkan data tahun 2025, di Desa Ngabeyan, Kecamatan Karanganom, Kabupaten Klaten, tercatat 16 dari 109 balita mengalami stunting. Sebagai upaya pencegahan, mahasiswa KKN-PPM Universitas Slamet Riyadi (UNISRI) Kelomp...
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Function and Effectiveness of Knife Sharpness for Food Preparation
An International Journal Tourism and Community Review
Vol 2
, No 2
(2025)
Knife, knife is an important tool for cooks and even head chefs. There are various types and materials of knives, each knife has the same function but with different effectiveness for cutting certain ingredients. For example, 'Chef knife' This chef knife is most commonly used in the f&b world or at home, the second is 'Cleaver' cleaver or often called machete is most often used in China, and if in Indonesia it is most often used to cut poultry, and to chop various meats, the third is 'Bread...
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Integrating Hybrid Statistical and Unsupervised LSTM-Guided Feature Extraction for Breast Cancer Detection
Setiadi, De Rosal Ignatius Moses
; Ojugo, Arnold Adimabua
; Pribadi, Octara
; Kartikadarma , Etika
; Setyoko, Bimo Haryo
; Widiono, Suyud
; Robet, Robet
; Aghaunor, Tabitha Chukwudi
; Ugbotu, Eferhire Valentine
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Breast cancer is the most prevalent cancer among women worldwide, requiring early and accurate diagnosis to reduce mortality. This study proposes a hybrid classification pipeline that integrates Hybrid Statistical Feature Selection (HSFS) with unsupervised LSTM-guided feature extraction for breast cancer detection using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. Initially, 20 features were selected using HSFS based on Mutual Information, Chi-square, and Pearson Correlation. To addres...
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A Comparative Analysis of an Enhanced Hybrid Model for Predicting Dollar Against Naira Exchange Rate Using Deep Learning and Statistical Methods
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
In today’s global economy, accurately predicting foreign exchange rates or estimating their trends correctly is crucial for informed investment decisions. Despite the success of standalone models like ARIMA and deep learning models like LSTM, challenges persist in capturing both linear and nonlinear dynamics in highly volatile exchange rate environments. Motivated by the limitations of these individual models and the need for more robust forecasting tools, this study proposes a hybrid ARIMA-LSTM...
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