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Menampilkan 1–5 dari 5 artikel
IoT-Based Home Electricity Monitoring and Consumption Forecasting using k-NN Regression for Efficient Energy Management
Journal of Computing Theories and Applications
Vol 3
, No 1
(2025)
Electricity has emerged as an essential requirement in modern life. As demand escalates, electricity costs rise, making wastefulness a drain on financial resources. Consequently, forecasting electricity usage can enhance our management of consumption. This study presents an IoT-based monitoring and forecasting system for electricity consumption. The system comprises two NodeMCU micro-controllers, a PZEM-004T sensor for collecting real-time power data, and three relays that regulate the current f...
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Psychological First Aid (Pfa) Services For Child Victims At Uptd Ppa Surakarta City
Jurnal Pengabdian Teknologi Tepat Guna
Vol 6
, No 2
(2025)
Abstrak: Kekerasan dalam rumah tangga (KDRT) merupakan masalah sosial yang serius di Indonesia. Kekerasan Dalam Rumah Tangga (KDRT) bisa terjadi pada siapa saja, termasuk perempuan, laki-laki dan anak-anak. Kekerasan yang disebut Kejahatan Tersembunyi ini telah memakan banyak korban. Dari sekian banyak korban kekerasan dalam rumah tangga, anaklah yang paling sering menjadi korban kekerasan dalam rumah tangga. Anak berhak memperoleh perlindungan, perhatian, kasih sayang dan pendidikan demi keseja...
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Sentiment Analysis for Political Debates on YouTube Comments using BERT Labeling, Random Oversampling, and Multinomial Naïve Bayes
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
The 2024 Indonesian Presidential Election marked the fifth general election in the country, aimed at electing a new President and Vice President for the 2024–2029 term. Candidates competed to succeed the outgoing president, who had served two constitutional terms. A key aspect of this election was the candidate debates, where each candidate presented their vision, allowing the public to assess their policies. These debates were broadcast on platforms like YouTube, giving the public a space to co...
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Penerapan Data Mining dengan Metode Clustering untuk menentukan Strategi Peningkatan Penjualan Berdasarkan Data Transaksi
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Improving marketing strategies in mini markets by applying the clustering method as the basis of the approach. By using the K-Means cluster algorithm on data on the number of transactions and total sales, this research aims to identify groups of customers who have similar purchasing patterns. This clustering is the basis for formulating a more targeted and efficient marketing strategy. The K-Means approach is used to group customers into segments that have similarities in transaction behavior. T...
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Pendampingan Pembaruan Packaging dan Optimalisasi Branding UMKM Masyarakat di Kelurahan Kepatihan, Kecamatan Kaliwates, Kabupaten Jember
Ajeng Khusnul Samudra Pertiwi
; Moh Khoiril Mustofa
; Nida Kamila Hanifah Bastian
; Cahyaningtyas Tetta Riandy
; Novia Nur Chasanah
; Putri Aulia Nadiyatul Jannah
; Grace Winata
; Daud Angga Yudha
; Adam Naufalianto
; Shavira Yuansa
; Afifah Balqis Iftinan
; Agung Rhaka Oktavianto
; Hesti Ayu Verawati
; Laili Rohmah Romadhoni
; Sefi Ika Candra
; Nurshadrina Kartika Sari
Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri
Vol 2
, No 4
(2023)
Collaborative KKN is a service activity by students consisting of several universities. Our KKN location is in Kepatihan Village, Kaliwates District, Jember Regency. The main work program carried out by KKN Collaboration 229 students is to help Kepatihan Village MSMEs in the field of packaging and branding. Through the PANACOTTA work program, the KKN 229 group carries the theme of entrepreneurial development, entitled "Packaging Update and Branding Optimization". The purpose of this research is...
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