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Solar Sonic Repeller : Inovasi Portabel Pengendali Hama Tikus Berbasis Energi Terbarukan
Safira Fegi Nisrina
; Nisrina, Safira Fegi
; Mulyono Mulyono
; Basuki Rahmat
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
The problems in rice fields are complex and varied, depending on geographic location, rice variety, and growing season. Pests often cause serious economic losses. The Solar Sonic Repeller is an innovative portable pest control device designed to address pest problems by utilizing renewable energy, specifically solar energy. This product aims to offer an environmentally friendly and efficient solution. It works by emitting ultrasonic sound waves with a frequency of 30,000–40,000 Hz. The device's...
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Perancangan Sistem Pakar Diagnosa Penyakit Hipertensi dengan Metode Certainty Factor dan Dempster Shafer berbasis Website: Studi Kasus Puskesmas Brambang, Diwek, Jombang
Basuki Rahmat
; Agung Mustika Rizki
; Muchammad Fadzillah Zain
Switch : Jurnal Sains dan Teknologi Informasi
Vol 3
, No 4
(2025)
Hypertension is a common disease in society and can lead to serious complications if not properly managed. This study aims to design a web-based expert system to assist in diagnosing hypertension using the Certainty Factor and Dempster Shafer methods. The Certainty Factor method is used to measure the confidence level of reported symptoms, while the Dempster Shafer method combines information from various sources to generate more accurate decisions. The system is designed with a user-friendly in...
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Implementasi Metode Multinomial Naive Bayes dalam Klasifikasi Judul Berita Clickbait
Dicky Satria Mahendra
; Basuki Rahmat
; Retno Mumpuni
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 2
, No 3
(2024)
This research aims to classify news headlines into clickbait and non-clickbait using the Multinomial Naive Bayes method. The data used comes from the dataset CLICK-ID: A Novel Dataset for Indonesian Clickbait Headlines. The research process involves stages of data collection, preprocessing, feature extraction, model training, model evaluation, and result analysis. The test results show that the Multinomial Naive Bayes algorithm consistently produces an accuracy rate of around 78%. Optimization u...
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Perbandingan Algoritma Deep Q-Network dan Local Outlier Factor Untuk Deteksi Anomali Konsumsi Air Minum Pelanggan PUDAM Kabupaten Banyuwangi
Andhika Ahnaf Daniswara
; Basuki Rahmat
; Eva Yulia Puspaningrum
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 2
, No 4
(2024)
Adequate provision of drinking water in quantity, quality, and continuity is needed to realize a healthy and productive society. A well-managed Drinking Water Supply System (SPAM) is essential to meet this need. Based on Government Regulation Number 122 of 2015, the implementation of SPAM involves the development and management of drinking water which is the responsibility of the local government and PUDAM as the implementer. The main challenges faced by PUDAM include the high level of water los...
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Analisis Klaster dan Klasifikasi Emosi Dalam Musik K-Pop dengan K-Means dan Algoritma C 4.5
Reyhan Jarsi Yoga
; Basuki Rahmat
; Eka Prakarsa Mandyartha
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 2
, No 3
(2024)
The main objectives are to identify emotion patterns hidden in K-Pop music based on audio features extracted from the Spotify API and to build an emotion classification model that can predict the emotions of K-Pop songs.In this approach, the K-Means algorithm is used to cluster K-Pop songs based on audio features such as energy, valence, tempo, danceability, and speechiness. The clustering results reveal several main groups that represent variations in musical characteristics and emotions. Next,...
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Implementasi Metode CNN Dan K-Nearest Neighbor Untuk Klasifikasi Tingkat Kematangan Tanaman Cabai Rawit
Muhammad Rifki Bahrul Ulum
; Basuki Rahmat
; Made Hanindia Prami Swari
Modem : Jurnal Informatika dan Sains Teknologi
Vol 2
, No 3
(2024)
The process of identifying the ripeness level of cayenne peppers is an important step in cultivation and post-harvest handling. Dependence on the quality factors of farmers, such as visual diversity and differences in ripeness perception, results in subjective harvest outcomes. This manual process is also prone to inconsistent results, as humans have time limitations, fatigue, and sometimes lack concentration when sorting for long periods. To minimize these issues, technological intervention is...
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Deteksi Ikan Molly menggunakan Metode BLOB dan HSV pada Peternakan Ikan CSA Sidoarjo
Manfish: Jurnal Ilmiah Perikanan dan Peternakan
Vol 2
, No 2
(2024)
Penelitian ini menyoroti tantangan dalam perhitungan panen ikan molly secara manual, yang menghambat efisiensi dan profitabilitas peternakan ikan. Kurangnya penelitian komprehensif tentang penerapan teknologi pemrosesan citra digital di Indonesia mendorong eksplorasi algoritma BLOB dan filter HSV. Hasil pengujian menunjukkan tingkat akurasi yang memuaskan hingga 98,14%, meskipun dengan tantangan terkait identifikasi objek yang bertumpuk. Diperlukan penyesuaian parameter yang cermat untuk meningk...
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Implementasi Algoritma K-Means dan Knearest Neighbors (KNN) Untuk Identifikasi Penyakit Tuberkulosis Pada Paru-Paru
Rachmadhany Iman
; Basuki Rahmat
; Achmad Junaidi
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 2
, No 3
(2024)
In Indonesia, tuberculosis is ranked third in terms of prevalence among countries with the highest tuberculosis burden. Radiological examination, such as X-rays or X-rays, is a method generally used to detect tuberculosis. Chest X-ray examination is one method used to detect tuberculosis. To achieve these goals, the research will combine two powerful data processing techniques. First, the K-Means algorithm will be used to group x-ray image data based on similar characteristics, making it easier...
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Klasifikasi Suara Instrumen Musik Tiup Menggunakan Metode Convolutional Neural Network
Royan Hisyam Rafliansyah
; Basuki Rahmat
; Chrystia Aji Putra
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Vol 2
, No 4
(2024)
This research explores the classification of brass instrument sounds using Convolutional Neural Network (CNN) combined with Mel-Frequency Cepstrum Coefficient (MFCC) feature extraction. This research aims to improve the accuracy of brass instrument sound recognition by utilizing CNN's ability to process audio data. Through experiments conducted with different audio durations and variations in CNN model architecture, this study evaluates the impact of dataset separation and model design on classi...
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Perbandingan Kinerja Arsitektur Resnet-50 Dan Googlenet Pada Klasifikasi Penyakit Alzheimer Dan Parkinson Berbasis Data MRI
Shawn Hafizh Adefrid Pietersz
; Basuki Rahmat
; Eva Yulia Puspaningrum
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Vol 2
, No 2
(2024)
Alzheimer's and Parkinson's diseases are neurodegenerative conditions that affect the brain, with Alzheimer's causing cognitive and behavioral decline, while Parkinson's leads to motor and non-motor impairments. Both diseases have significant impacts on the health and quality of life of patients, with prevalence increasing in recent years. Although the exact causes of these diseases are still unknown, MRI (Magnetic Resonance Imaging) is widely used to detect brain activity and serves as one of t...
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