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Perancangan Pintu Otomatis Berbasis Arduino Menggunakan Sensor Pir
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
Traditional doors usually consist of a housing or padlock and a flip key to open it. Usually found on office or mall doors, doors can be made more practical. The door will open automatically if there is physical energy (stimulus) that moves it. For example, when someone wants to enter the room, the door will automatically open. Doors like this are designed using automatic control using embedded system equipment. This automatic door system can be designed using automatic control combined with PIR...
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Rancang Bangun Alat Pembuatan VCO Otomatis Menggunakan Mikrokontroler Arduino Uno
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
This paper presents the design and implementation of an automatic Virgin Coconut Oil (VCO) making device using an Arduino Uno microcontroller. Virgin Coconut Oil has gained popularity due to its health benefits and versatile uses in various industries. The traditional process of making VCO involves manual effort and precise timing, which can be tedious and inconsistent. The proposed automated system aims to streamline the VCO production process by integrating sensors, actuators, and a microcontr...
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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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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
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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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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