Rudy Herteno

Rudy Herteno
Universitas Lambung Mangkurat | UNLAM · Faculty of Mathematics and Natural Sciences

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37
Publications
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43
Citations

Publications

Publications (37)
Article
In the realm of modern healthcare, continuous monitoring can leverage the affordable wearable devices available on the market to manage costs. However, these devices face several limitations, such as restricted access for other parties, including nurses and doctors, and the need for redevelopment to integrate new devices for data accessibility. Thi...
Article
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In software defect prediction, noisy attributes and high-dimensional data remain to be a critical challenge. This paper introduces a novel approach known as multi correlation-based feature selection (MCFS), which seeks to address these challenges. MCFS integrates two feature selection techniques, namely correlation-based feature selection (CFS) and...
Article
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Detecting software defects early on is critical for avoiding significant financial losses. However, building accurate software defect prediction models can be challenging due to class imbalance, where the data for defective modules is much less than for standard modules. This research addresses this issue using the imbalanced dataset NASA MDP. To a...
Article
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Software defect prediction (SDP) is used to identify defects in software modules that can be a challenge in software development. This research focuses on the problems that occur in Particle Swarm Optimization (PSO), such as the problem of noisy attributes, high-dimensional data, and premature convergence. So this research focuses on improving PSO...
Article
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Software defect prediction is necessary for desktop and mobile applications. Random Forest defect prediction performance can be significantly increased with the parameter optimization process compared to the default parameter. However, the parameter tuning step is commonly neglected. Random Forest has numerous parameters that can be tuned, as a res...
Article
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Penyakit jantung menjadi salah satu penyebab utama kematian bersama dengan penyakit lainnya. Dalam bidang teknologi, data mining dapat digunakan untuk mendiagnosa suatu penyakit yang bersumber dari data rekam medis pasien. Pada klasifikasi dataset medis, Naive Bayes merupakan salah satu metode terbaik yang digunakan. Tujuan dari penelitian ini adal...
Conference Paper
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A system for person identification has been simulated utilizing electrocardiogram (ECG) signals as biometric identifiers. To automate ECG signal-based biometric recognition, machine learning algorithms are employed. Generally, the feature extraction stage is utilized to obtain the desired features from the ECG signal before it is processed by a mac...
Conference Paper
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Health services entail face-to-face interactions between patients and physicians, whereby the patient reports the symptoms they are experiencing, and the doctor examines the patient's vital signs. In Indonesia, a doctor consultation system is presently accessible to the public. However, a vital sign monitoring system, which is linked to medical dev...
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Telemedicine applications enable online health consultation services, but they have limitations: there is no vital sign examination as in offline consultation. Furthermore, vital sign examinations for patients treated outside hospitals, such as outpatients and home care patients, are not as routine as for inpatients. Although patient monitors can b...
Article
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Penyakit jantung koroner (PJK) terjadi akibat penyumbatan atau penyempitan pada pembuluh darah jantung karena adanya endapan lemak dan kolesterol sehingga mengakibatkan suplai darah ke jantung menjadi terganggu. PJK masih merupakan masalah kesehatan yang penting dan berdampak secara sosioekonomi karena biaya obat-obatan yang cukup mahal dan lamanya...
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Breast cancer is a prevalent form of cancer that afflicts women across all nations globally. One of the ways that can be done as a prevention to reduce elevated fatality due to breast cancer is with a detection system that can determine whether a cancer is benign or malignant. Logistic Regression and Support Vector Machine (SVM) classification algo...
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Defects that occur in software products are a universal occurrence. Software defect prediction is usually carried out to determine the performance, accuracy, precision and performance of the prediction model or method used in research, using various kinds of datasets. Software defect prediction is one of the Software Engineering studies that is of...
Article
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Gender classification by computer is essential for applications in many domains, such as human-computer interaction or biometric system applications. Generally, gender classification by computer can be done by using a face photo, fingerprint, or voice. However, researchers have demonstrated the potential of the electrocardiogram (ECG) as a biometri...
Conference Paper
Full-text available
Social media has a crucial role as the most generally accessed source of information by the public for obtaining information on various topics, such as COVID-19 and natural disasters. Using Twitter messages can be beneficial in tasks like detecting symptoms of COVID-19. The results of COVID-19 symptom detection can be used as a benchmark by relevan...
Conference Paper
Full-text available
Home care is a service that can be used to monitor and assist patients treated at home, such as self-isolation patients during the COVID-19 pandemic. These patients need to be intensively monitored, but currently, there is no affordable vital sign monitoring system. The focus of the problem in this study is exploiting cheap commercial BT/BLE smartw...
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Berdasarkan analisis data GLOBOCAN pada tahun 2020, kanker hati primer dinyatakan menduduki peringkat ke-6 sebagai kanker yang paling banyak didiagnosis dan peringkat ke-3 sebagai penyebab kematian akibat kanker utama di dunia. Mayoritas kanker hati primer muncul dari sel-sel hati dan disebut Karsinoma Hepatoseluler (KHS). Salah satu upaya yang dap...
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Penyakit jantung koroner adalah tersumbatnya suplai darah jantung. Penyakit jantung adalah penyebab utama kematian di seluruh dunia. Berbagai faktor risiko berkontribusi terhadap penyakit jantung, termasuk merokok, gaya hidup tidak sehat, kolesterol tinggi, dan hipertensi. Dengan demikian, prediksi penyakit dapat dilakukan untuk mengidentifikasi in...
Article
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The research aimed to compare the classification performance of arrhythmia classification from the ECG signal dataset from the Massachusetts Institute of Technology–Beth Israel Hospital (MIT-BIH) database. Shallow learning methods that were used in this study are Support Vector Machine, Naïve Bayes, and Random Forest. 1D Convolutional Neural Networ...
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Kankergmerupakan istilah umum untuk sekelompokgbesar penyakit yang dapatgmenyerang bagian tubuhgmanagpun. Salah satu kanker yang berbahaya adalah Kankerspayudara. Pencegahanskanker payudarasdapatsdilakukansdengan salah satu cara yaitu skrining atau diagnosa dini. Pendiagnosaan dapat menggunakan Machine learning dengan beberapa algoritma contohnya K...
Article
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Prediksi keberlangsungan hidup pasien gagal jantung telah dilakukan pada penelitian untuk mencari tahu tentang kinerja, akurasi, presisi dan performa dari model prediksi ataupun metode yang digunakan dalam penelitian, dengan menggunakan dataset heart failure clinical records. Namun dataset ini memiliki permasalahan yaitu bersifat tidak seimbang yan...
Article
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Aritmia merupakan salah satu penyakit kelainan pada irama jantung dan beberapa pasien yang menderita aritmia tidak merasakan gejala apapun, maka perlu adanya otomatisasi deteksi dini untuk aritmia dengan menggunakan elektrokardiogram. Penelitian yang ada telah melakukan klasifikasi dengan beberapa metode data mining. Pada penelitian ini transformas...
Book
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Microsoft Word memiliki fitur-fitur untuk membantu otomatisasi dalam pengolahan kata. Buku ini memberikan langkah-langkah penerapannya dalam mengerjakan tugas kuliah dan kantor seperti membuat surat resmi, laporan kegiatan, sertifikat, laporan tugas akhir, penulisan jurnal, dan mengelola pustaka dengan Mendeley dan Zotero. Setiap pembahasan diberik...
Article
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Prediksi cacat software adalah salah satu studi pada bidang Rekayasa Perangkat Lunak yang telah diteliti oleh banyak peneliti. Tujuan dari studi ini adalah untuk mencari tahu algoritma yang dapat memberikan kinerja prediksi cacat software yang lebih baik. Salah satu penelitian yang telah dilakukan adalah melakukan prediksi cacat software dengan men...
Article
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Liver disease is a disorder of liver function caused by infection with viruses, bacteria or other toxic substances so that the liver cannot function properly. This liver disease needs to be diagnosed early using a classification algorithm. By using the Indian liver patient dataset, predictions can be made using a classification algorithm to determi...
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Guru sebagai individu tenaga pendidik dan profesional khususnya guru Pegawai Negeri Sipil (PNS) diharapkan dapat peningkatan pangkat dan jabatannya. Untuk meningkatkan pangkat dan jabatan tersebut perlu memiliki syarat, yaitu salah satunya karya ilmiah. Karya ilmiah yang memenuhi syarat adalah karya ilmiah yang diterbitkan oleh penerbit dimana haru...
Article
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Researchers have collected Twitter data to study a wide range of topics, one of which is a natural disaster. A social network sensor was developed in existing research to filter natural disaster information from direct eyewitnesses, none eyewitnesses, and non-natural disaster information. It can be used as a tool for early warning or monitoring whe...
Article
p> Intrusion Detection System merupakan suatu sistem yang dikembangkan untuk memantau dan memfilter aktivitas jaringan dengan mengidentifikasi serangan. Karena jumlah data yang perlu diperiksa oleh IDS sangat besar dan banyaknya fitur-fitur asing yang dapat membuat proses analisis menjadi sulit untuk mendeteksi pola perilaku yang mencurigakan, maka...
Article
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Nowadays, software is very influential on various sectors of life, both to solve business needs, as well as personal needs. To have a Software with high quality, testing is needed to avoid software defect. Research on software defects involving Machine Learning is currently being carried out by many researchers. This method contains one important s...
Article
Defects can cause significant software rework, delays, and high costs, to prevent disability it must be predictable the possibility of defects. To predict the disability the metrics software dataset is used. NASA MDP is one of the popular software metrics used to predict software defects by having 13 datasets and is generally unbalanced. The reward...
Article
Decision making is one of problem that we often find in society, as well as choosing the fabric of the motif of Sasirangan Banjar that currently there are many kinds of it. So, to find out the ideal solution need the various of considerations that will make hesitation. And it will influence in time of accuracy of decision-making. Multi Atribut Deci...
Article
Prediksi cacat software memiliki peran penting pada kualitas software. Penelitian ini menggunakan 12 dataset D”dari NASA MDP yang selanjutnya dilakukan seleksi fitur terhadap kategori metrik software. Seleksi fitur dilakukan untuk mengetahui metrik software mana yang berpengaruh dalam melakukan prediksi cacat software. Setelah dilakukan seleksi fit...
Article
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The level of internet usage continues to increase until now. information exchange requires security that cannot be predicted by others. one technique for securing information is steganography. Steganography techniques are the science and art of hiding information. This technique can hide the content of information in media that cannot be guessed by...
Article
Pothole is one of the problems that can cause harm to a person or a lot of people and can even cost lives. So a lot of research has been done to detect potholes, especially image-based. This research uses Unmanned Aerial Vehicle (UAV) to get aerial video dataset and train Convolutional Neural Network (CNN) with the dataset. However, instead of doin...
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div class="WordSection1"> The rapid development of technology, the increase in web-based systems and development of microcontroller device, have an impact on the ability of web servers to respond in serving client requests. This study aims to analyze load balancing methods algoritma round robin and tuning that significant influence for the response...
Conference Paper
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Sebuah aplikasi yang baik harus selalu berkembang dan di perbarui, terutama jika ditemukan masalah selama sistem berjalan. Hal ini dilakukan agar sebuah sistem dapat memenuhi kebutuhan pengguna dalam membantu pelayanan dan meminimalisir kesalahan yang di lakukan oleh pengguna. Salah satu upaya dalam memperbaiki sistem adalah dengan melakukan Requir...

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