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Menampilkan 1–10 dari 163 artikel
Predictive Analysis of Dengue Outbreak Trends Using RapidMiner-Based Machine Learning Models
Dinamik
Vol 31
, No 1
(2026)
Demam berdarah dengue merupakan tantangan kesehatan masyarakat yang terus berulang di wilayah tropis, termasuk Indonesia. Penelitian ini bertujuan untuk memprediksi jumlah kasus tahunan dengan memanfaatkan lima algoritma pembelajaran mesin, yaitu Regresi Linier, Decision Tree, Random Forest, Support Vector Machine (SVM), dan Neural Network. Data historis tahun 2017–2024 diolah menggunakan teknik windowing deret waktu untuk menghasilkan fitur lag yang sesuai bagi pembelajaran terawasi. Evaluasi k...
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Pemodelan Tren Kasus Hiv dan Klasterisasi Wilayah menggunakan Algoritma K-Means dan Decision Tree - Studi Kasus di Kabupaten Bogor
Dinamik
Vol 31
, No 1
(2026)
Infectious diseases remain a dynamic and evolving public health threat, requiring data-driven approaches for early detection and targeted policy planning. This study aims to model spatio-temporal trends and clustering patterns of HIV transmission in Bogor Regency during the period 2020–2023 by utilizing a combination of unsupervised and supervised machine learning techniques. The dataset was obtained from the Bogor Regency Health Office and includes annual data on the number of HIV cases across...
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Strengthening strategies for renewable energy resources (RES) through educational analysis, participation, services, and regulation based on mixed methods
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
Indonesia has extraordinary resources and potential in developing renewable energy sources (RES), but various obstacles must be overcome in implementing RES. The purpose of this study is to analyze the gap in the application of RES. This gap includes energy knowledge, community participation, battery waste management, service quality, regulation, and legal policy. This study uses a mixed-methods approach, by conducting a structured questionnaire in quantitative data collection, while qualitative...
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Rancang bangun sistem presensi berbasis artificial intelligence menggunakan microservice pada flask
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 4
, No 3
(2025)
Conventional attendance systems often face various problems such as inefficiency, inaccuracies in attendance logging, and limitations in recapitulation processes. Manual systems are prone to human error and time-consuming, while fingerprint-based systems may fail when the sensor is affected by dirty, wet, or damaged fingers. This study aims to develop an attendance system based on Artificial Intelligence (AI) by utilizing the face_recognition function in Python and implementing a microservice ar...
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Optimalisasi Agroindustri Durian dalam Meningkatkan Daya Saing UMKM Karangrau Banyumas
Ernawati, Lia
; Triwibowo, Rony Nur
; Kumala Swandari, Mika Tri
; Sudarmaji, Arief
; Saparso, Saparso
; Priswanto, Priswanto
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 9
, No 2
(2025)
Desa Karangrau di Kecamatan Banyumas memiliki lahan subur yang sebagian besar ditanami durian hasil persilangan lokal dan Musangking. Pertanian, terutama budidaya durian, menjadi mata pencaharian utama warga. Para petani tergabung dalam Gapoktan Sumber Makmur dan KWT Setia Tani yang berperan dalam pengelolaan hasil panen. Namun, terdapat beberapa kendala seperti keterbatasan pengetahuan teknik budidaya modern, perawatan tradisional tanpa dukungan teknologi, serta sistem irigasi yang belum optima...
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RANCANG BANGUN SISTEM PEMANTAUAN KADAR OKSIGEN DAN BERAT BADAN BAYI PADA INCUBATOR BAYI MENGGUNAKAN BLYNK IOT DAN NODEMCU
Aushaaf, Muhammad Hisyam
; Wibowo, Kusnanto Mukti
; Ishartom, Farid
; Latif, Abdul
; Romadhona , Gema
Teknika
Vol 10
, No 2
(2025)
Inkubator bayi merupakan alat vital dalam perawatan bayi prematur untuk menjaga suhu tubuh, kelembapan, kadar oksigen, dan memantau berat badan secara stabil. Namun, sistem pemantauan konvensional sering kali belum mampu memberikan data secara real-time maupun terintegrasi dengan sistem peringatan dini. Penelitian ini bertujuan merancang dan membangun sistem pemantauan kadar oksigen dan berat badan bayi pada inkubator menggunakan teknologi Internet of Things (IoT). Sistem ini dibangun dengan sen...
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THE USE OF SUBTITLED VIDEO TO ENHANCE STUDENTS’ READING COMPREHENSION: A CLASSROOM ACTION RESEARCH AT EIGHTH GRADE OF SMPN 18 SURAKARTA IN 2023/2024 ACADEMIC YEAR
English Research Journal : Journal of Education, Language, Literature, Arts and Culture
Vol 10
, No 1
(2025)
This research was aimed at: (1) Describing what happen when subtitled video is implemented in teaching reading in recount text at eight grades of SMP N 18 Surakarta in the Academic Year of 2023/2024. and (2) Identifying whether the use of subtitled video improve students' reading comprehension in recount texts at eight grades of SMP N 18 Surakarta in the 2023/2024 Academic Year. This research employed Classroom Action Research, conducted in three cycles during May of the 2023/2024 academic year...
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Analysis Of MSME District In Cileungsi District-Bogor Regency Using K-Means Cluster
Jurnal Ilmiah Serat Acitya
Vol 14
, No 2
(2025)
The purpose of this research is for MSME actors and the local government to provide solutions for limited capital, limited professional human resources, and limited access to information in order to measure market opportunities for both the government of Bogor Regency and MSME actors in Cileungsi District, Bogor Regency. The quantitative data used is secondary data, namely MSME actors in Cileungsi District, Bogor Regency and data obtained from the Office of Cooperatives and Small and Medium Ente...
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Prediksi Harga Mobil Bekas Berdasarkan Tipe Penjual dan Jenis Kendaraan Menggunakan Regresi Linier
Jurnal Elektronika dan Komputer
Vol 18
, No 1
(2025)
The growing demand for affordable transportation has significantly expanded the used car market. This study aims to develop optimal sales strategies by analyzing seller types and vehicle categories through exploratory data analysis and linear regression techniques. Using a cleaned public dataset of over 150,000 used car listings in Germany, key variables such as registration year, mileage, vehicle type, and seller type were examined. Results indicate that individual sellers dominate the market,...
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RFM Analysis Application for Customer Loyalty Identification in Bodywork PT. Bengawan Karya Sakti
Dinamik
Vol 30
, No 2
(2025)
The bodywork industry in Indonesia is under high competitive pressure, requiring companies to be more adaptive in understanding customer behavior in order to maintain business continuity. PT. Bengawan Karya Sakti as one of the national bodywork companies, has not optimally utilized historical transaction data to assess customer loyalty. This study aims to identify customer loyalty segmentation through the application of the RFM (Recency, Frequency, Monetary) method, which is used to analyze sale...
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