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EDUKASI IBU HAMIL UNTUK PENCEGAHAN STUNTING DI DESA YAMANSARI, KABUPATEN TEGAL
Jurnal Abdimas Bhakti Indonesia
Vol 5
, No 2
(2024)
Stunting adalah masalah gizi kronis yang berdampak buruk pada pertumbuhan fisik dan perkembangan kognitif anak. Angka stunting di Kabupaten Tegal cukup tinggi, khususnya di Desa Yamansari. Edukasi ibu hamil tentang pencegahan stunting menjadi salah satu upaya strategis untuk mengurangi angka stunting. Program ini bertujuan meningkatkan pengetahuan ibu hamil tentang pentingnya gizi, pola hidup sehat, dan peran kesehatan lingkungan. Artikel ini memaparkan hasil kegiatan pengabdian masyarakat yang...
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TINGKAT KEPATUHAN K3 PADA PEKERJA KETINGGIAN DI PROJECT PT X PEKALONGAN BERDASARKAN PERMENAKER NOMOR 9 TAHUN 2016
Bhamada Occupational Health and Safety Environment Journal (BOHSEJ)
Vol 2
, No 2
(2024)
Penelitian ini bertujuan untuk mengevaluasi tingkat kepatuhan pekerja terhadap prosedur keselamatan kerja pada ketinggian di Proyek PT X Pekalongan sesuai dengan Permenaker Nomor 9 Tahun 2016. Menggunakan metode deskriptif dengan teknik purposive sampling, penelitian ini melibatkan seluruh populasi pekerja sebanyak 50 orang. Hasil penelitian menunjukkan bahwa 52% pekerja mematuhi prosedur keselamatan, sedangkan 48% lainnya tidak. Sebagian besar pekerja berusia muda (≤ 30 tahun) dan memiliki masa...
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General Elections and Technology: Realising Transparency and Integrity in Elections
Wacana Hukum
Vol 30
, No 2
(2024)
This project aims to enhance the utilisation of technology, particularly digital technology, in the execution of elections in a democratic nation such as Indonesia. The 2024 General Election is expected to encounter numerous problems, necessitating the digitalization of democracy to streamline the implementation of future General Elections. The usage of digital technology, particularly social media, is essential for the execution of future General Elections to streamline the electoral process an...
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PENCEGAHAN ANEMIA PADA IBU HAMIL TRIMESTER III MELALUI MEDIA CETAK (BOOKLET) DI DESA KALISAPU KECAMATAN SLAWI KABUPATEN TEGAL
Jurnal Abdimas Bhakti Indonesia
Vol 5
, No 2
(2024)
Anemia adalah suatu kondisi medis dimana jumlah sel darah merah (hemoglobin) kurang dari normal. Kadar hemoglobin normal untuk pria sebesar 13,5 gram/dl dan pada wanita yaitu 12,0 gram/dl. Pada wanita usia produktif, kadar Hb<12,0 g/dl dikatakan anemia, sedangkan pada ibu hamil dikatakan anemia bila Hb<11,0 g/dl. Fisiologis Anemia dalam kehamilan yaitu terjadinya hemodilusi sebagai proses peningkatan kadar cairan plasma selama kehamilan sehingga darah mengalami pengenceran. Anemia kehamila...
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Identifikasi Letak Buku di Perpustakaan Universitas Prima Indonesia Menggunakan Metode FP-Growth
JURNAL ILMIAH KOMPUTER GRAFIS
Vol 17
, No 2
(2024)
This research uses the FP-Growth method to identify the location of books in the Prima Indonesia University library with the following steps: (1) conducting research, (2) solving the problem, (3) studying the literature, (4) inputting data, (5) analyzing high frequency patterns, determining associative rules, and making conclusions. This research aims to apply the FP-Growth method to arrange book layouts according to needs. This research aims to: (1) apply the FP-Growth method to arrange the lay...
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Analisa Penjualan Sparepart Pada PT Astra International Bmw Semarang Dengan Menggunakan Algoritma Eclat
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
PT Astra International BMW Semarang is a company operating in the automotive sector with 3 supporting pillars, namely Sales, Aftersales and Spare Parts for BMW car units. The availability of spare parts is one of the determining factors for consumer satisfaction with the company because if the spare parts stock is empty it will cause consumer disappointment with the company. By using spare parts sales transaction data for the period January 2019 – June 2023, totaling 52,162, it will be utilized...
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Penerapan Algoritma Klasifikasi Naïve Bayes Untuk Analisis Sentimen Tentang Pemilu 2024
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
The news about the proposal of the government of the Republic of Indonesia regarding the postponement of the 2024 elections is certainly an interesting discussion. In this research, sentiment analysis will be carried out on the issue of postponing the election. In this study, a dataset obtained using the crawling technique was obtained in the amount of 1280 tweet data about the postponement of the 2024 election. Data labeling in this study uses lexicon-based techniques with Indonesian dictionari...
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2 Sitasi
Pengukuran Tingkat Kapabilitas Tata Kelola E-Learning Menggunakan COBIT 5.0 Pada SMK TI Bali Global Jimbaran
I Wayan Gede, Narayana
; I Wayan Gede, Narayana
; M Samsudin
; I W Bandem W.P.N
; Komang Eka Andra Tri Dharma
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
E-Learning becomes a platform which supports technology-based learning on many aspects. The usage of E-Learning becomes the main choice especially in education world. SMK TI Bali Global Jimbaran, which is a middle level vocational school, utilizes this platform in its learning process. In its implementation process, there needs to be a precise and thorough supervision to ensure that the system runs according to business goals. This mapping is conducted to know the process used for measurements....
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Analisis Sentimen Ulasan iPhone di Amazon Menggunakan Model Deep Learning BERT Berbasis Transformer
Arif Fitra Setyawan
; Arif Fitra Setyawan
; Amelia Devi Putri Ariyanto
; Fari Katul Fikriah
; Rozaq Isnaini Nugraha
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
This study aims to analyze the sentiment of iPhone product reviews fromAmazon using the BERT (Bidirectional Encoder Representations from Transformers) model to classify reviews as either positive or negative. The dataset, sourced from Kaggle, includes text reviews and star ratings, where high ratings indicate positive sentiment and low ratings indicate negative sentiment. After text preprocessing steps, including data cleaning, tokenization, and sentiment labeling, the BERT model was fine-tuned...
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3 Sitasi
Prediksi Stok Tanaman Hidroponik dengan Artificial Intelligence: Ensemble Learning dengan Optimasi Evolusioner
Putu Bagus Adidyana Anugrah Putra
; Septian Geges
; Oktaviani Enjela Putri
; I Made Bayu Artha Pratama
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
Hydroponic plant cultivation is booming, but stock and sales are hard to predict. Poor prediction can cause farmers to overstock and lose money. This study suggests a framework that uses several machine learning models, including Linear Regression (LR), Random Forest (RF), Decision Tree (DT), and Extreme Gradient Boosting. "Ensemble Learning," which combines these models, should yield more accurate and generalizable results than a single model. This framework is assessed using historical hydropo...
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