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Menampilkan 5711–5720 dari 14781 artikel
Dysmenorrhea and Practice of Menstrual Hygiene in Adolescent Females
Lilik Ariyanti
; Warih Anjari Dyah Kusumaningayu
; Fatchurrohmah Ines Prabandari
; Alinda Nur Ramadhani
Gaster
Vol 22
, No 1
(2024)
Background: Adolescence is a relatively fast period of physical change experienced by adolescents when puberty is marked by the first menstruation (menarche). Menstruation and menstrual habits continue to encounter numerous social, cultural, and religious barriers, which make it extremely difficult to maintain good hygiene during the menstrual cycle. Objective: Analyzing menstruation practices and the prevalence of dysmenorrhea in adolescent female is the goal of this study. Method: The cross-...
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1 Sitasi
Comparative Analysis of Classification Methods in Sentiment Analysis: The Impact of Feature Selection and Ensemble Techniques Optimization
Defit, Sarjon
; Universitas Putra Indonesia “YPTK” Padang
; Windarto, Agus Perdana
; STIKOM Tunas Bangsa
; Alkhairi, Putrama
; STIKOM Tunas Bangsa
Telematika
Vol 17
, No 1
(2024)
Optimizing classification methods (forward selection, backward elimination, and optimized selection) and ensemble techniques (AdaBoost and Bagging) are essential for accurate sentiment analysis, particularly in political contexts on social media. This research compares advanced classification models with standard ones (Decision Tree, Random Tree, Naive Bayes, Random Forest, K-NN, Neural Network, and Generalized Linear Model), analyzing 1,200 tweets from December 10-11, 2023, focusing on "Indones...
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14 Sitasi
Optuna Based Hyperparameter Tuning for Improving the Performance Prediction Mortality and Hospital Length of Stay for Stroke Patients
Tikaningsih, Ades
; Universitas Amikom Purwokerto
; Lestari, Puji
; Universitas Amikom Purwokerto
; Nurhopipah, Ade
; Universitas Amikom Purwokerto
; Tahyudin, Imam
; (Scopus ID: 56764427700, Universitas Amikom Purwokerto)
; Winarto, Eko
; RSUD Banyumas Polyclinic Neural
; Hassa, Nazwan
; RSUD Banyumas Polyclinic Neural
Telematika
Vol 17
, No 1
(2024)
Cardiovascular disease (CVD) stands as the foremost contributor to worldwide mortality, with strokes as part of significant CVD. Research on potential mortality risks and hospitalizations for stroke patients became crucial as a basis for evaluation to improve the quality and control of stroke patient services. Although machine learning technology has been widely used in health data analysis, understanding the relative performance and characteristics of machine learning (ML) models is still limit...
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Deep Learning for Histopathological Image Analysis: A Convolutional Neural Network Approach to Colon Cancer Classification
Telematika
Vol 17
, No 1
(2024)
Colon cancer is a type of cancer that attacks the last part of the human digestive tract. Factors such as an unhealthy diet, low fiber consumption, and high animal protein and fat intake can increase the risk of developing this disease. Diagnosis of colon cancer requires sophisticated diagnostic procedures such as CT scan, MRI, PET scan, ultrasound, or biopsy, which are often time-consuming and require particular expertise. This study aims to classify colon cancer based on histopathological imag...
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Dataset Analysis and Feature Characteristics to Predict Rice Production based on eXtreme Gradient Boosting
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Rice plays a vital role as the main food source for almost half of the global population, contributing more than 21% of the total calories humans need. Production predictions are important for determining import-export policies. This research proposes the XGBoost method to predict rice harvests globally using FAO and World Bank datasets. Feature analysis, removal of duplicate data, and parameter tuning were carried out to support the performance of the XGBoost method. The results showed excellen...
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33 Sitasi
Pengaruh Ketinggian Lokasi Penanaman Terhadap Sifat Kimia dan Sensori Citarasa Kopi Robusta (Coffea canephora L)
Jurnal Agrifoodtech
Vol 2
, No 2
(2024)
The chemical characteristics and sensory attributes of Robusta coffee are influenced by the environment of the coffee plant grows, one of the influencing factors is the altitude plantation locations. The aim of the research was to determine the effect of the land altitude of plantation location on the physicalchemical properties and sensory taste of Robusta coffee. This research used a Completely Randomized Design (CRD) with four (4) treatments based on altitude of the Robusta coffee plant...
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1 Sitasi
Identifikasi Uji Mutu Dan Sensori Kopi Bubuk
Jurnal Agrifoodtech
Vol 2
, No 2
(2024)
Coffe is one the plantation commodities that has high economic value and plays an important role as a source of foreign exchange for the country. The purpose of this study was to examine the quality test, tp determine whether there was a difference and to determine the content of water content, ash, alkalinity of the ash, coffee extract, caffeine and mineral Zinc (Zn) as well as the sensory test on ground coffe that met the requirements based on SNI 01-3542-2004. This research consisted of two r...
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Profil Kondisi Fisik Atlet Putra Porprov Cabang Hockey Lapangan Kabupaten Kendal Tahun 2023
Journal of Education and Sport Science
Vol 5
, No 1
(2024)
Tujuan dari penelitian ini adalah untuk mengetahui profil kondisi fisik atlet PORPROV hockey di Kabupaten Kendal tahun 2023. Metode penelitian yang telah dilakukan adalah metode survei serta menggunakan teknik analisis data tes dan pengukuran. Instrumen yang telah digunakan adalah 7 item tes kondisi fisik antara lain adalah : daya tahan, kekuatan, fleksibilitas atau kelentukan, kelincahan, daya ledak dan kecepatan. Populasi dalam penelitian ini sebanyak 12 atlet. Sampel dalam penelitian ini seba...
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FAKTOR-FAKTOR YANG MEMPENGARUHI KEJADIAN KETUBAN PECAH DINI DI RUMAH SAKIT AGHISNA KROYA TAHUN 2022
Jurnal Bina Cipta Husda: Jurnal Kesehatan dan Science
Vol 20
, No 1
(2024)
Angka kematian ibu yang disebabkan ketuban pecah dini (KPD) di Indonesia berkisar 4,5% sampai 7,6% dari seluruh kehamilan. Faktor penyebab terjadinya KPD belum diketahui dengan pasti. Penelitian Deskriptif analitik yang merupakan case control study dimana subyek penelitian merupakan semua ibu bersalin dengan KPD sebanyak 143 orang dan ibu bersalin normal sebagai kelompok kontrolnya sebanyak 143 orang. Analisis yang digunakan pada penelitian ini adalah dengan distribusi frekuensi pada analisa uni...
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Pelatihan Teknik Sampling Dan Survey Untuk Meningkatkan Kinerja Karyawan PT Mustika Jaya Lestari Semarang
Yulianto, Safaat
; Khikmah, Laelatul
; Ambarwati, Atika Nurani
; Wijayaningrum, Taswati Nova
; Sulistijanti, Wellie
Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Vol 4
, No 1
(2024)
Survey is a very important step in supporting decision making in various fields. In conducting surveys, surveyors are required to collect data that must be approached by statistical methods. To be able to understand and conduct surveys correctly, an understanding of statistical analysis is needed, especially on quantitative data. The low understanding and analysis of data and the use of statistical methods make survey results with quantitative data cannot be completed correctly. To be able to co...
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