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Analisa Data Mining Menggunakan Algoritma Apriori Dan Algoritma Eclat Di PT Astra International BMW Semarang
Jurnal Elektronika dan Komputer
Vol 17
, No 1
(2024)
PT Astra International BMW Semarang operates in the automotive sector, focusing on sales, aftersales, and spare parts for BMW cars. The availability of spare parts is crucial for customer satisfaction, as stock shortages can lead to disappointment. Using data from 52,162 spare parts sales transactions from January 2019 to June 2023, the study applies data mining techniques with the a priori and eclat algorithms to identify consumer purchasing patterns and prevent stock shortages. The research ai...
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ANALISIS RASIO KEUANGAN SEBAGAI ALAT MENGUKUR KINERJA KEUANGAN PADA PT. SEMEN BATURAJA (PERSERO)
Innovation, Theory & Practice Management Journal
Vol 3
, No 1
(2024)
Abstract :The financial performance of PT Semen Baturaja (Persero) for the period 2020-2022 needs to be evaluated to determine the effectiveness of management in managing the company's finances. The purpose of the study is to measure the financial performance of PT Semen Baturaja (Persero) through financial statement analysis over the period 2020, 2021, and 2022. This study uses various types of financial ratios such as Liquidity, Solvency, and Profitability. The research method used is qualitat...
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Analisis Adat Kematian Suku Toraja Menggunakan Teori Roman Jackobson Di Manado
Putri Roganda Pane
; Naia Rencani Suci
; Enggis Br Siagian
; Melani Limbong
; Shelomita Adinda Putri Komaling
; Surya Masniari Hutagalung
Inspirasi Dunia: Jurnal Riset Pendidikan dan Bahasa
Vol 3
, No 2
(2024)
This study analyzes Toraja death customs using Roman Jakobson's theory of language functions. The study highlights how language functions (emotive, conative, referential, metalinguistic, phatic, and poetic) are applied in death rituals, which reflect the cultural and social values of the Toraja people. The research findings show that these death customs serve as complex communication tools, strengthen community identity, and connect the present with the past through symbolism and traditional pra...
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Bahasa Non Baku Dalam Media Sosial: Dampak Terhadap Pemahaman Dan Komunikasi
Irmawaty Tambunan
; Naia Rencani Suci
; Enggis Br Siagian
; Elfretty Br Sitanggang
; Yuni Melati Simare-mare
; Onyx Nifty
; Malan Lubis
Inspirasi Dunia: Jurnal Riset Pendidikan dan Bahasa
Vol 3
, No 2
(2024)
This study examines the impact of standardized language use in social media on users' understanding and communication. With the increasing dominance of social media as a communication platform, the use of appropriate language is important to ensure messages are well received and understood. This study used survey method to collect data from various age groups and educational backgrounds. The results show that the use of standardized language tends to increase clarity and politeness in communicat...
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Kegiatan Pengabdian Masyarakat Terhadap Deteksi Dini Gangguan Perilaku, Emosional, Dan Psikososial Di Sekolah Dasar Negeri 02 Ciherang
Fransisca Iriani R Dewi
; Divyas Bharath
; Dany Setiawan
; Nathanael Gumarus
; Arya Dwi Saputra
; Kacen Kacen
; Yuri Prisiani
; Alexander Halim Santoso
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Vol 3
, No 1
(2024)
Children and young people often face significant mental health challenges, which impact their emotional well-being and behavior. Our study aims to detect early signs of this problem in elementary school children using the Pediatric Symptom Checklist (PSC-17) questionnaire. It is hoped that it can increase the understanding of students and students to prevent the negative impacts of behavioral, emotional and psychosocial disorders.
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PENYULUHAN PERTOLONGAN PERTAMA DALAM MENINGKATKAN PENGETAHUAN PENANGANAN LUKA BAKAR PADA REMAJA
Wahyu Putri Lestari
; Sri Sundari
; Yully Kurniawati
; Zulfa Aulia Rahma
; Bagas Biyanzah Drajad Pamukhti
Empowerment Journal
Vol 4
, No 1
(2024)
Luka bakar adalah cedera pada kulit atau jaringan yang disebabkan oleh panas, listrik, gesekan, atau kontak dengan bahan kimia. Ini adalah jenis trauma dengan morbiditas (kecatatan) dan mortalitas (kematian) yang tinggi. Kebiasaan masyarakat yang kurang tepat akibat kurangnya informasi dan pengetahuan, banyak orang memberikan pertolongan pertama pada luka bakar dengan mengoleskan pasta gigi, mentega, kecap, dan minyak pada area yang terluka. Tujuan dari program ini yaitu untuk meningkatkan penge...
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UPAYA PENCEGAHAN STROKE PADA LANSIA MELALUI PENYULUHAN KESEHATAN DAN SENAM ANTI STROKE DI POSYANDU LANSIA DAHLIA GODANGREJO KARANGANYAR
Muhammad Imroni, Maulida Nur Istanti
; Sadimin, Lailatul Salsabela
; Puryatno, Meilinda putri maharani
; Ngadino, Lativa Rahmawati
; Bagas Biyanzah Drajad Pamukhti
Empowerment Journal
Vol 4
, No 1
(2024)
Stroke merupakan cerebrovaskuler disease yaitu gangguan fungsi otak yang berhubungan dengan penyakit pembuluh darah yang mensuplai darah ke otak dan selalu terjadi secara tiba-tiba dengan gejala yang beragam seperti badan yang lumpuh separo dan/atau disertai dengan penurunan kesadaran. Tujuan program ini adalah untuk mengetahui pengaruh senam anti stroke terhadap tekanan darah penderita hirpertensi dan untuk mengetahui tingkat pengetahuan masyarakat terhadap penyakit Stroke. Pengabdian masyarak...
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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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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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A Juridical Review of the Open Proportional System in the 2024 General Election
AMNESTI : Jurnal Hukum
Vol 6
, No 1
(2024)
The emergence of the petition for judicial review of Case Number 114/PUU-XX/2022 against Law Number 7 of 2007 concerning General Elections has raised the political temperature of the country. The petitioners argued that the open proportional system was contrary to the 1945 Constitution and should therefore be replaced with a closed proportional system. The petitioners, who are political party officials, feel that the open proportional system has harmed their constitutional rights. This study aim...
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