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MODEL PEMBERDAYAAN PENGRAJIN KAYU DALAM PEMBUATAN EDUCATION TOYS
Kegiatan IbM yang diusulkan bertujuan membentuk dan mengembangkan masyarakat yang mandiri secara ekonomi dan meningkatkan kesejahteraan masyarakat dengan memanfaatkan limbah kayu menjadi produk kreatif yang bernilai ekonomis tinggi. Permasalahan prioritas yang akan ditangani dalam kegiatan IbM ini adalah: bagaimana membentuk system pemberdayaan pengrajin kayu sehingga dapat mengolah limbah menjadi produk bernilai ekonomi. Target khusus dari kegiatan IbM ini adalah : 1) Kesadaran dan motivasi mit...
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PELATIHAN DAN PENDAMPINGAN BUDIDAYA SAYURAN ORGANIK DI PEKARANGAN
Kegiatan pengabdian kepada masyarakat ini bertujuan untuk (1) meningkatkan pemahaman tentang pekarangan, sayuran organik dan teknik budidayanya; serta (2) meningkatkan keterampilan teknik membudidayakan sayuran secara organik. Sedangkan target khusus yang ingin dicapai adalah PKK Rt 05/RW 08 dapat memproduksi sendiri berbagai sayuran organik sehingga mnereka dapat merasakan manfaat dari nutrisi sayur yang belum memudar, rasanya yang masih segar, serta menghemat pengeluaran rumah tangga. Kegiatan...
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IbM KARANG TARUNA DAN PKK DESA KOHOD PAKUHAJI MELALUI PENINGKATAN NILAI TAMBAH DALAM PENGOLAHAN LIMBAH KELAPA SEBAGAI UPAYA PENINGKATAN PENDAPATAN MASYARAKAT
The main objective of the community service activity is to provide the partners skills on coconut waste processing technology to transform coconut waste into products with economic value. Through this transfer of technology activity, it is expected that new entrepreneurs will emerge. In addition, it is hoped that the targeted partners will be able to transfer their newly-gained skills to the neighboring communities, particularly to the Family Welfare Program (PKK) members and coconut farmer grou...
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The Effectiveness of Physical Exercise on Level of Symptom and Quality of Life in Primary Dysmenorrhea in Adolescent in Denpasar
Gaster
Vol 22
, No 1
(2024)
Background: young women often experience various problems including pain during menstruation. Menstrual pain which is called dysmenorrhea is pain in the stomach or uterus, pain that occurs together with the onset of menstruation which occurs several hours to days. The incidence of primary dysmenorrhea will influence and have a major impact on the quality of life of these adolescents.
Purpose: This study aims to prove the effectiveness of physical exercises in the form of abdominal stretching and...
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Evaluation of the Quality of Pharmaceutical Services in Private Hospitals in Sukoharjo in 2023
Gaster
Vol 22
, No 1
(2024)
Introductory: Minimum Service Standards are very important because they are a benchmark for the performance of health services provided in hospitals. Objective:This study aims to evaluate the quality of pharmaceutical services at the Private Hospitals in Sukoharjo based on indicators of waiting time for ready-made and compounded medicine services, customer satisfaction, and writing prescriptions according to the formulary. Method:This research is non-experimental research with observational rese...
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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
Identification of Social Media Posts Containing Self-reported COVID-19 Symptoms using Triple Word Embeddings and Long Short-Term Memory
Amalia, Raisa
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Universitas Lambung Mangkurat
; Indriani, Fatma
; Universitas Lambung Mangkurat
; Budiman, Irwan
; Universitas Lambung Mangkurat
; Mazdadi, Muhammad Itqan
; Universitas Lambung Mangkurat
; Abadi, Friska
; Universitas Lambung Mangkurat
; Mafazy, Muhammad Meftah
; Institut Teknologi Sepuluh Nopember
Telematika
Vol 17
, No 1
(2024)
The COVID-19 pandemic has permeated the global sphere and influenced nearly all nations and regions. Common symptoms of this pandemic include fever, cough, fatigue, and loss of sense of smell. The impact of COVID-19 on public health and the economy has made it a significant global concern. It has caused economic contraction in Indonesia, particularly in face-to-face interaction and mobility sectors, such as transportation, warehousing, construction, and food and beverages. Since the pandemic beg...
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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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