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Human Action Recognition in Military Obstacle Crossing Using HOG and Region-Based Descriptors
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
Human action recognition involves recognizing and classifying actions performed by humans. It has many applications, including sports, healthcare, and surveillance. Challenges such as a limited number of classes of activities and variations within inter and intra-class groups lead to high misclassification rates in some of the intelligent systems developed. Existing studies focused mainly on using public datasets with little focus on real-life action datasets, with limited research on HAR for mi...
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EDUKASI KESEHATAN JIWA PONDOK PESANTREN MELALUI PENDEKATAN MANAJEMEN STRES
Alfianto, Ahmad
; Illahi Adi Putra, M.Arizki
; Ayu Novi ambarwati, Arista Ayu
; Azriel Hadianto, Jefri
JURNAL KEPERAWATAN SISTHANA
Vol 10
, No 1
(2025)
This study emphasizes the importance of mental health among students in Islamic boarding schools (pondok pesantren), who often face various academic and social pressures. According to the World Health Organization (WHO), mental health is defined as a state in which individuals feel happy and healthy, are capable of facing life's challenges, and maintain a positive attitude towards themselves and others. The objective of this research is to evaluate the effectiveness of stress management-based ed...
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Hubungan Self Management Dengan Tingkat Kecemasan Pasien Diabetes Melitus Yang Menjalani Diet di Wilayah Kerja Puskesmas Jampang Tengah Kabupaten Sukabumi
Jurnal Ventilator: Jurnal riset ilmu kesehatan dan Keperawatan
Vol 3
, No 1
(2025)
Diabetes Mellitus is a condition that continues to worsen and requires adjustments to one's way of life, especially regarding diet. This adjustment can cause anxiety for the individual who experiences it, so self-management is needed in the diabetes treatment process. Objective: To determine the relationship between self-management and the anxiety level of diabetes mellitus patients who are on a diet at the Jampangtengah Community Health Center, Sukabumi. Method: Cross-sectional research with 79...
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Pengaruh Tax Planning, Nilai Perusahaan, Dan Leverage Terhadap Manajemen Laba Padaperusahaan Manufaktur Sub Sektor Makanan Dan Minuman Yang Terdaftar Di Bursa Efek Indonesia (BEI) Tahun 2016-2019
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 28
, No 1
(2025)
This study aims to examine the effect of the variables of Tax Planning, Firm Value and Leverage on Earnings Management. In this study, the population is the number of manufacturing companies in the food and beverage sub-sector listed on the Indonesia Stock Exchange from 2016-2019 which amounted to 28 companies with sampling carried out using a non-probability sampling approach with a sampling technique using purposive sampling. Purposive sampling is a sampling technique with certain consideratio...
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Pengaruh Terapi Kompres Jahe terhadap Tingkat Nyeri Sendi Lansia di Wilayah Puskesmas Jampang Tengah Kabupaten Sukabumi
Jurnal Ventilator: Jurnal riset ilmu kesehatan dan Keperawatan
Vol 3
, No 1
(2025)
High uric acid which causes joint pain is a disease where there is a buildup of purine which causes the joints to become inflamed to the point of swelling. Gout which occurs in people of course when they have a disease that causes gout they will undergo medical treatment to reduce uric acid levels and the pain that occurs in the elderly due to high levels. And most people assume that by taking medication they assume that the pain will disappear, according to Ilham (2019) that to reduce joint pai...
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Analisis perbandingan machine learning untuk prediksi kelayakan kredit perbankan pada Bank BRI Tegal
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 4
, No 1
(2025)
Predicting credit worthiness is an important step for banks to reduce the risk of bad credit. This research compares the performance of four classification algorithms, namely SVM, Naïve Bayes, Random Forest and Decision Tree using simulated datasets. The results obtained on the metrics of accuracy, precision, recall, F1 score, and AUC-ROC, show that Decision Tree has the best performance with 42.5% accuracy, 48.3% precision, 47.5% recall, 47.5% F1 score, and AUC 0.60, indicating its ability to i...
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Penggunaan Rasio Keuangan untuk Menilai Kinerja Keuangan pada PT Mitra Keluarga Karya Sehat Periode Tahun 2018-2021
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 30
, No 2
(2025)
This study aims to analyze the financial performance of PT Mitra Keluarga Karyasehat Tbk before and during the COVID-19 pandemic, where healthcare facilities were among the most crucial and highly needed aspects for recovery from the contagious COVID-19 outbreak. The method used in this research is a quantitative approach. The type of data utilized is secondary data obtained from the Indonesia Stock Exchange or the official website of PT Mitra Keluarga Karyasehat Tbk. The data consists of financ...
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Perancangan WebAR sebagai media hybrid-education mengenai tujuan ke-13 dari SDGS
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 4
, No 1
(2025)
The compulsive impact of human-caused climate change is now considered more of an environmental issue than a national security threat. The latest 2030 Agenda, the Sustainable Development Goals (SDGs), has a transformational vision to achieve universal literacy worldwide, including Indonesia. Addressing climate change is Goal 13 of 17 SDGs. This study uses a qualitative research method with a linear research strategy to develop hybrid-education media in the form of printed pamphlet media with Aug...
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Penerapan algoritma K-Nearest Neighbors (KNN) untuk klasifikasi citra medis
Ujianto, Nur Tulus
; Gunawan
; Fadillah, Haris
; Fanti, Azizah Permata
; Saputra, Aryan Dandi
; Ramadhan, Ilham Gema
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 4
, No 1
(2025)
This study aims to optimize the implementation of the K-Nearest Neighbors (K-NN) algorithm for medical image classification by focusing on selecting the optimal KKK parameter and applying dimensionality reduction techniques to improve accuracy and efficiency. The data used was sourced from public medical image repositories such as The Cancer Imaging Archive (TCIA) and Medical Image Analysis datasets, covering various diseases, including brain tumors, lung cancer, and kidney lesions. The research...
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Implementasi port knocking dinamis berbasis waktu pada router untuk pengamanan akses SSH
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 4
, No 1
(2025)
This research proposes a time-based dynamic port knocking technique on Mikrotik routers to enhance SSH access security. The system uses an algorithm for port calculation that changes according to the server’s time, requiring a different knocking sequence for each access session. The technique involves three consecutive knocking stages, where each stage must be passed in order for SSH access to be granted. The results show that this method is effective as a two-factor authentication mechanism, li...
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