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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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Rancang Bangun Aplikasi Pemetaan Pelanggan Indibiz Berbasis Web Pada PT. Telkom Indonesia TBK Cabang Kota Prabumulih
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
Current technological advances have made the need for information technology very necessary. With the existence of web-based geographic information system technology, it can help PT. Telkom Indonesia Tbk Prabumulih City Branch to digitize every Indibiz customer and target area for Indibiz products. The aim of this research is to create a web-based Indibiz customer mapping information system and to improve technician performance in matters concerning Indibiz. The research method used is descripti...
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Pengembangan Aplikasi Pengelolaan Pusat Layanan Pada Palang Merah Indonesia (PMI) Wilayah Jakarta Timur
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
The management of service centers at the Indonesian Rede Cross (PMI) in East Jakarta is still conducted manually, which slows down service processes and increases the likelihood of data processing erorrs. This research aims to design a Java-based application to automate patient registration, admission, handling, emergency services, available ambulance data, and the preparation of reports as quickly as possible. The application was developed using the Java programming language with a prototype mo...
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2 Sitasi
Analisa Pengaruh Desain Motor Induksi “6 Fasa 2 Lapis Tak Simetris” Terhadap Torsi Dan Kecepatan Motor Induksi 3 Fasa Menggunakan Metode Elemen Hingga
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
Induction motors are components that convert electrical energy into mechanical energy and are very much in demand among industries, with low prices, sturdy construction and easy maintenance making these induction motors used for heavy industrial applications. However, the 3-phase induction motor at this time chooses a low torque and speed so that it affects the efficiency of the induction motor performance, which will decrease. This study examines the effect of unsymmetrical 2-layer 6-phas...
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Analisis Pengaruh Desain "6-Fasa Tak Simetris" 2 Lapis Kumparan Terhadap Efisiensi Motor Induksi 3-Fasa Dengan Menggunakan Metode Elemen Hingga
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
This study examines the role of Artificial Intelligence (AI) in marketing strategy through a Systematic Literature Review (SLR) approach. AI has shown a transformative impact by outperforming traditional methods, especially in optimizing big data-based marketing strategies. With the ability to analyze consumer behavior in depth, AI enables businesses to personalize marketing efforts and improve user experiences more efficiently and responsively. However, challenges such as data privacy, high ini...
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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
Perancangan Pengkonversian Bahan Bakar Dari Gasoline Menjadi Hho Untuk Menghidupkan Genset
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
This research aims to design and test a genset fuel conversion system from gasoline to HHO gas (brown gas) as a more environmentally friendly alternative. Conventional fossil-fueled generators face challenges in theform of limited resources and the impact of environmental pollution. In this study, HHO gas is produced through a water electrolysis process using an HHO generator that separates water molecules into hydrogen and oxygen using electric current. The test results show that increasing the...
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Pengaruh Penggunaan Boost Konverter Sebagai Pengatur Tegangan Terhadap Daya Keluaran Sistem Plts 1.5 Kw
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
Utilization of new renewable energy is a solution to meet the increasing electricity demand, one of which is solar power generation technology. Solar panels are a renewable power generator that is environmentally friendly. The relatively low and unstable output voltage of PV is affected by solar irradiation, which becomes a constraint. Therefore, by utilizing a boost converter, the solar panel system is able to work 25% more optimally compared to without using a boost converter. The perfo...
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Sistem Monitoring Dan Pendeteksi Kebersihan Udara Pada Kandang Peternakan Sapi Berbasis Internet Of Things (IoT)
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
Milk consumption and the need for beef cattle for food purposes or sacrificial purposes continue to increase from year to year. This increase is in line with the increasing level of the economy and awareness of the need for nutritious food. However, the increase in demand still faces many production constraints due to the difficulties faced by farmers, the decline in cattle production from year to year in Indonesia. This causes Indonesia to have to import beef for 35.95% of the total national be...
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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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