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Sosialisasi Kesehatan Tentang Bahaya Hipertensi dan Pendekatan Terapi dengan Bahan Alam di Kelurahan Kandri
Rita Dwi Ratnani
; Achmad Quraisy Aljufri
; Tarrisa Istiqomah
; Ati Wasiatul Fikri
; Egi Dia Sapitri
; Anggita Kurniawati Wardani
; Mayfika Yusrina Miftahurrizqi
; Mika Andriani Fernanda
; Rizkya Ananda Ayu
; Vicky Putra Novadiansyah
; Ardi Tio Ageng Nugroho
; Azzahra Nurulalifa
; Sri Mulyo Bondan Respati
Palawa: Jurnal Pengabdian Kepada Masyarakat
Vol 4
, No 1
(2025)
Hipertensi adalah suatu kondisi dimana terjadi peningkatan tekanan darah secara kronis (dalam jangka waktu yang lama) yang dapat menyebabkan rasa sakit pada seseorang dan bahkan dapat menyebabkan kematian. Hipertensi merupakan masalah kesehatan masyarakat yang cukup besar di dunia, termasuk di Indonesia. Berdasarkan profil kesehatan kota Semarang (2023), jumlah penderita hipertensi usia ≥ 15 tahun di Kecamatan Gunungpati mencapai 9.231 kasus pada laki-laki dan 9.427 kasus pada perempuan. Oleh ka...
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Analisis Pemetaan Spasial Berbasis Sistem Informasi Geografis pada Komoditas Padi di Kabupaten Sidoarjo
Dinamik
Vol 30
, No 2
(2025)
Produksi padi di Indonesia, termasuk Kabupaten Sidoarjo, menghadapi berbagai tantangan seperti alih fungsi lahan, perubahan iklim, dan keterbatasan infrastruktur. Penelitian ini bertujuan untuk memetakan potensi produksi padi secara spasial di Kabupaten Sidoarjo dengan memanfaatkan pendekatan Sistem Informasi Geografis (SIG). Metode yang digunakan meliputi analisis spasial untuk menggambarkan sebaran luas baku sawah, tanam, panen, irigasi, dan produktivitas di tingkat kecamatan, serta analisis d...
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Analisa Komparasi dengan Algoritma K-Nearest Neighbor (KNN) dan Support Vector Machine (SVM) untuk Prediksi Penyakit Jantung
Nainggolan, Johannes Kristian
; Sinaga, Ferdinand
; Sitorus, Andriani M.
; Khairia, Anisa
; Wijaya, Bayu Angga
Dinamik
Vol 30
, No 2
(2025)
Tingkat keberhasilan deteksi penyakit jantung sangat bergantung pada akurasi model klasifikasi yang digunakan. Penelitian ini bertujuan membandingkan kinerja dua algoritma klasifikasi, yaitu K-Nearest Neighbor (KNN) dan Support Vector Machine (SVM), dalam mendeteksi penyakit jantung menggunakan dataset berjumlah 1025 sampel dengan dua kelas target, yakni sehat dan penyakit jantung. Proses pra-pemrosesan data meliputi pembersihan dan normalisasi fitur medis seperti usia, tekanan darah, serta kada...
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Implementasi Metode Linear Congruential Generator (LCG) Dalam Game Puzzle Fosil Berbasis Hand Tracking (Studi Kasus: Museum Purba Unit Bukuran)
Jurnal Ilmiah Sinus
Vol 23
, No 2
(2025)
In the digital era, the use of interactive technology is increasingly widespread, including in the fields of education and entertainment. This study aims to develop a fossil Puzzle Game based on Hand Tracking at the Museum Purba Unit Bukuran using the Linear Congruential Generator (LCG) method to generate varied and random challenges. The implementation of LCG in this Game is expected to enhance the variation and randomization of Puzzle pieces, providing a more engaging and immersive learning ex...
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Pengalaman Pengguna Pada Platform Magang : Pengembangan Dan Evaluasi Melalui Pengujian Berbasis UEQ
Jurnal Ilmiah Sinus
Vol 23
, No 2
(2025)
This study investigates the development and evaluation of the User Experience (UX) of a web-based internship platform aimed at enhancing communication and collaboration between students and campus staff. The platform was developed using a User-Centered Design (UCD) approach, incorporating user feedback at each stage of the design process. Prior to system development, interviews were conducted with both students and campus staff to identify existing challenges. The findings revealed that 80% of s...
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Faktor-Faktor Yang Mempengaruhi Kepatuhan Pajak Di Kabupaten Sleman
KOMPAK : Jurnal Ilmiah Komputerisasi Akuntansi
Vol 18
, No 1
(2025)
Since tax revenues are declining annually, it is evident that Indonesian taxpayer compliance is still at a low level. The declining number of taxpayers in KPP Pratama Sleman Regency each year is another indicator of taxpayer compliance and the negative attitude of private taxpayers. The goal of this study is to determine the relative importance of tax penalties, taxpayer knowledge, taxpayer awareness, and taxpayer attitudes. Quantitative approaches are used in this study. The sample in this stud...
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Shareloc: An Analysis of Isekai Elements Across Different Genre and Cinematic Cultures
Cahyaningtyas, Ardelia Elvina
; Safitri, Ardita Wahyu
; Saputri, Andriani Ika
; Yuliana, Siti Komsiyah
RADIANT: Journal of Applied, Social, and Education Studies
Vol 6
, No 2
(2025)
The Isekai genre stories where characters are transported from their familiar world to a fantastical or parallel reality has gained significant popularity across various media. However, its presence in films from different cultural contexts has received less scholarly attention. The objective of this research is to explore the Isekai elements found in ‘Along with the Gods: The Two Worlds’, ‘Saranjana Kota Ghaib’, ‘Spirited Away’, and ‘Jumanji: Welcome to the Jungle’. This study aims to analyze h...
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An Analysis of Students' Grammatical Errors with AI Assistance in Writing Descriptive Texts
Scripta : English Department Journal
Vol 12
, No 1
(2025)
This study aims to analyze grammatical errors made by tenth-grade students of SMK Ma'arif NU 1 Bener in writing descriptive texts, particularly with the assistance of artificial intelligence (AI) tools. Employing a descriptive qualitative method, the study identifies and categorizes grammatical errors based on the taxonomy: omission, addition, misformation, misordering, and capitalization. The data were collected from students' written texts and analyzed using qualitative data analysis procedure...
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Klasifikasi Kanker Paru pada Citra CT Scan menggunakan Extreme Learning Machine dan Histogram Equalization
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 1
(2025)
Lung cancer is one of the deadliest types of cancer worldwide, making early detection crucial to improving patient survival rates. One of the primary methods for detecting lung cancer is through Computed Tomography (CT) scan images. However, automated analysis of these images faces challenges due to image quality being affected by noise and low contrast. This study aims to develop a lung cancer classification model from CT scan images using the Extreme Learning Machine (ELM) algorithm and Gray L...
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PENGARUH KUALITAS PELAYANAN DAN PROMOSI TERHADAP KEPUASAN PELANGGAN PADA ALFAMART DI KABUPATEN SEMARANG
Jurnal Manajemen Sosial Ekonomi
Vol 5
, No 1
(2025)
This research aims to identify the impact of service quality and promotion on customer satisfaction at Alfamart in Semarang Regency. The research entity group includes residents in the West Ungaran area of Semarang Regency. The participant selection method uses a non-probability approach, specifically a directed selective method. Participants include West Ungaran residents who have passed the age threshold of 17 years and have previously conducted transactions at Alfamart in Semarang Regency. Th...
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