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A Literature Review of Chatbot Utilization in Digital Education
Dewi, Kirana Isna
; Falasifa, Ima Muhimmah
; Nafasya, Faren Tresandra
; Dewi, Kirana Isna
; Falasifa, Ima Muhimmah
; Nafasya, Faren Tresandra
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Perkembangan teknologi kecerdasan buatan telah memberikan dampak signifikan pada berbagai sektor, termasuk sektor pendidikan. Salah satu implementasi kecerdasan buatan yang banyak digunakan adalah chatbot, program perangkat lunak yang dirancang untuk mensimulasikan percakapan melalui teks atau suara. Dalam pendidikan, chatbot berfungsi sebagai jembatan komunikasi antara manusia dan sistem digital, yang sangat populer berkat kemajuan dalam kecerdasan buatan, pembelajaran mesin, jaringan saraf, da...
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Analisis Performansi Pendekatan Machine Learning Pada Deteksi Penyakit Daun Tanaman Kopi
Purnomo, Rosyana Fitria
; Purnomo, Rosyana Fitria
; Yodhi Yuniarthe
; Hilda Dwi Yunita
; Fatimah Fahurian
; Ahmad Ikhwan
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This articl...
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Analisis Pengaruh Tiktok Shop Terhadap Kecendrungan Perilaku Konsumtif Mahasiswa: Studi Kasus Mahasiswa MBS FAI UMSU
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
This study aims to analyze the influence of TikTok Shop usage on the tendency of consumptive behavior among students of the Sharia Business Management Study Program, Faculty of Islamic Studies, University Muhammadiyah North Sumatra. This research employs a descriptive qualitative method with data collection conducted through interviews using Google Forms. Respondents were selected using purposive sampling techniques, focusing on active students who frequently use TikTok Shop in their shopping ac...
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Flood Mitigation in East Coast Semarang City: Hydrological and Hydraulic Analysis for Polder System Optimization
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Flooding is a recurring hazard across Indonesia, particularly in urban regions such as Semarang City, where high-intensity rainfall, tidal surges, land subsidence, and changes in land use contribute to frequent inundation. This study investigates the effectiveness of the Sringin Polder system in mitigating flood risks through an integrated hydrological and hydraulic analysis. The hydrological component involved calculating design rainfall values for various return periods, with a peak intensity...
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Strategi Manajemen Operasional, Pemasaran, dan Evaluasi Keuangan UMKM Bolu Kambu Daeng Rosi Dalam Meningkatkan Daya Saing Produk Tradisional di Kabupaten Barru
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2026)
This study aims to analyze the operational and marketing strategies of UMKM Bolu Kambu Daeng Rosi in enhancing the competitiveness of traditional food products in Barru Regency, South Sulawesi. The research uses a descriptive qualitative approach with a case study method, through guided observation, semi-structured interviews, and documentation. The findings show that the enterprise's strengths lie in its culturallybased product differentiation and strong customer loyalty. However, the business...
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Implementation of Case-Based Learning to Improve Critical Thinking Skills in Static Fluids among High School Students
Lontar Physics Today
Vol 5
, No 1
(2026)
This study aimed to examine the effectiveness of implementing the Case-Based Learning (CBL) model in enhancing students' critical thinking skills in static fluid learning, as well as to analyse differences in critical thinking outcomes between classes using CBL and those employing conventional teaching methods. The research adopted a quasi-experimental design with a pretest–posttest control group. Samples were selected based on simple random sampling. After the data was analysed, the average sco...
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Edukasi Kesehatan Kognitif dan Senam Otak Lansia Menuju Lansia Mandiri dan Bahagia pada Ibu-Ibu Penggerak PKK Desa Mliwis, Boyolali, Jawa Tengah
Rahmawati, Juwita
; Yulianti, Tri
; Putri, Annisa Nur Lathifah Amanda
; Windarti, Septiana
; Fadhilah, Arini Fadhilah
; Wahyuni, Arifah Sri
; Sukmawati, Anita
; Indrayudha, Peni
; Setyadi, Gunawan
; Wulandari, Febri
; Imanto, Teguh
; Santhyami, Santhyami
Abdi Geomedisains
Vol 6
, No 2
(2026)
A prevalent issue among the elderly is cognitive deterioration. Modifications in behavior and the adoption of a healthy lifestyle have been demonstrated to mitigate cognitive decline in the elderly. The objective of community service initiatives is to disseminate knowledge regarding cognitive health in the elderly and to offer brain workouts to the community, particularly targeting women who are PKK activists in Mliwis Village. This community service initiative employs an instructional methodolo...
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Sistem Informasi Komunitas Anime Music Video (Amv) Editing Berbasis Web (Studi Kasus : Komunitas Fly Studio)
Jurnal Ilmiah Sinus
Vol 24
, No 1
(2026)
This web-based AMV community information system was developed to support collaboration, recruitment, and project management among AMV editors. Evaluation using the User Acceptance Test (UAT) yielded an average score of 4.216 (Very Good), indicating strong user satisfaction in functionality and usability. The system was built using the waterfall method, involving requirement analysis, design, implementation, and testing stages. Core features include team management, collaboration content, editing...
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Implementation of Machine Learning for Credit Card Fraud Detection using Logistic Regression and Gradient Boosting
Dinamik
Vol 31
, No 1
(2026)
Credit card fraud is a critical issue in digital financial transactions. This study aims to develop and evaluate fraud detection models using Logistic Regression and Gradient Boosting on an imbalanced dataset, where fraudulent transactions constitute only a small portion of the data. To address this imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied during preprocessing. Logistic Regression, used as a baseline model, achieved 95% accuracy, 78.6% precision, 55.9% recall...
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Analisis Deteksi Komunitas Louvain, Infomap, dan Walktrap pada Konstruksi Social Network Analysis Jaringan Undang-Undang Republik Indonesia 2014-2024
Al Amin, Imam Husni
; Wibisono, Setyawan
; Hadikurniawati, Wiwien
; Lestariningsih, Endang
; Eniyati, Sri
Dinamik
Vol 31
, No 1
(2026)
Penelitian ini mengevaluasi performa tiga algoritma deteksi komunitas Louvain, Infomap, dan Walktrap dalam konteks social network analysis pada jaringan undang-undang Republik Indonesia periode 2014–2024. Jaringan dibangun dari hubungan kutipan antar undang-undang Republik Indonesia pada rentang waktu antara tahun 2014 sampai dengan tahun 2024. Kutipan antar undang-undang diperoleh pada bagian “Mengingat” pada setiap undang-undang, menghasilkan sebuah konstruksi struktur graf berarah dan tak ber...
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