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All Journal Elkom: Jurnal Elektronika dan Komputer Jurnal Kedokteran Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Biologi Tropis Jurnal Pengabdian Magister Pendidikan IPA Jurnal Ilmu Pemerintahan Widya Praja TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Jurnal Informatika dan Rekayasa Elektronik Jatilima : Jurnal Multimedia Dan Teknologi Informasi Journal of Applied Microcontroller and Autonomous System Jurnal Ilmiah Wahana Pendidikan Hang Tuah Medical Journal Jurnal Ilmiah Teknik Informatika dan Komunikasi Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan Gudang Jurnal Multidisiplin Ilmu MULTIPLE: Journal of Global and Multidisciplinary Jurnal 7 Samudra Politeknik Pelayaran Surabaya Telkatika: Jurnal Telekomunikasi Elektro Komputasi & Informatika Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Manajemen Kewirausahaan dan Teknologi Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika International Journal of Economics, Science, and Education (IJESE)
Basuki Rahmat
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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): Agustus: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.249

Abstract

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 using Grid Search did not result in an accuracy improvement. However, there was an improvement in the recall value for the non-clickbait class from 76% to 80%. The best parameter found was an alpha of 0.15. Therefore, the Multinomial Naive Bayes algorithm can be effectively used to address the problem of classifying clickbait news headlines, with the potential to contribute to clickbait prevention efforts in the future.
Analisis Kinerja Pegawai Di Badan Kesatuan Bangsa Dan Politik Kabupaten Tasikmalaya Mariyani; Adi Kurnia; Basuki Rahmat
Gudang Jurnal Multidisiplin Ilmu Vol. 2 No. 7 (2024): GJMI - JULI
Publisher : PT. Gudang Pustaka Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/gjmi.v2i7.741

Abstract

Penelitian ini bertujuan untuk menganlisis faktor-faktor yang memengaruhi kinerja pegawai dalam konteks Badan Kesatuan Bangsa dan Politik. Metode penelitian kualitatif digunakan untuk mengumpulkan dan menganalisis data yang bersifat deskriptif, dengan fokus pada pemahaman mendalam tentang perilaku dan persepsi pegawai terkait dengan kinerjanya. Teknik pengumpulan data yang diterapkan mencakup wawancara, observasi, dan analisis dokumen. Hasil penelitian menunjukkan bahwa kinerja pegawai di Badan Kesatuan Bangsa dan Politik Kabupaten Tasikmalaya dinilai memadai dan mencerminkan komitmen terhadap kualitas, ketepatan waktu, inisiatif, kemampuan, dan komunikasi yang baik. Pegawai menunjukkan kepatuhan terhadap standar dan prosedur kerja, tingkat akurasi yang tinggi, efisiensi, dan inovasi dalam pekerjaan, disamping telah memiliki manajemen waktu yang baik, konsistensi dalam memenuhi tenggat waktu, serta respons yang cepat terhadap tenggat waktu yang mendesak. Selain itu telah memiliki kemampuan teknis yang relevan, fleksibilitas dalam belajar dan beradaptasi, serta keterampilan komunikasi yang baik. Secara keseluruhan, kinerja pegawai tersebut dianggap penting untuk menjalankan tugas dan mencapai tujuan organisasi.
Peranan Kepemimpinan Dalam Meningkatkan Kepuasan Kerja Aparatur Sipil Negara Di Kantor Kelurahan Ciherang Kecamatan Cibeureum Kota Tasikmalaya Febrie Triyanto Rhizal; Basuki Rahmat; Dian Herlina
Gudang Jurnal Multidisiplin Ilmu Vol. 2 No. 7 (2024): GJMI - JULI
Publisher : PT. Gudang Pustaka Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/gjmi.v2i7.755

Abstract

Kepemimpinan merupakan salah satu faktor penting dalam menjalankan roda pemerintahan. Setiap pemimpin dituntut untuk memiliki kemampuan berfikir kedepan. Oleh karenanya harus memiliki kejelasan visi serta memahami fungsi bagi organisasi yang dipimpinnya Untuk membangun suatu organisasi yang baik, ada hal mendasar yang harus diperhatikan oleh institusi – institusi terkait yaitu hal yang menyangkut eksistensi kepemimpinan seorang pemimpin, baik dalam memimpin suatu organisasi maupun memimpin suatu institusi. Jika dilihat dari tingkatannya kepemimpinan pemerintah di indonesia, kepala daerah (Gubernur, Bupati, Walikota) berada di posisi kepemimpinan tingkat mieniengah, di atasnya tierdapat kiepiemimpinan yang dijalankan olieh Priesidien biersierta piembantunya, dan di bawahnya tierdapat kiepiemimpinan yang dijalankan olieh (Camat dan Kiepala Diesa/Lurah) Dalam mienyielienggarakan piemierintahan yang baik, sangat miemierlukan aparatur piemierintahan yang bierkualitas tinggi dan sadar akan tanggung jawabnya siebagai abdi niegara dan abdi masyarakat, siehingga mampu mielaksanakan tugas umum piemierintahan dan piembangunan diengan siebaik- baiknya. Kiepuasan mierupakan pierasaan yang ada pada diri piegawai yang didasarkan atas apa yang ditierima piegawai dalam biekierja. Siesuatu yang ditierima yaitu baik fisik dan non fisik siepierti balas jasa, sikap pimpinan, lingkungan kierja, komunikasi diengan atasan dan bawahan Diengan diemikian piegawai akan biekierja diengan rasa sienang dan yang liebih pienting kiepuasan yang tinggi akan miempierbiesar kiemungkinan tiercapainya produktivitas dalam biekierjaDalam pienielitian ini mienggunakan mietodie dieskriptif diengan piendiekatan kualitatif. Dalam pienielitian kualitatif tidak mienggunakan istilah populasi tietap tietapi olieh Spardliey dinamakan” Social situation” yang tierdiri dari tiga ieliemien yaitu tiempat (placie), pielaku (actor), dan aktivitas (activity) yang bierintieraksi siecara siniergi, tieknik piengumpulan data mienggunakan obsiervasi, wawancara dan dokumientasi. tieknik analisis data mienggunakan tieori milies dan Hubierman yaitu mierieduksi data, mienyajikan data dan mienyimpulkan data. Bierdasarkan hasil piembahasan miengienai ’’pieranan kiepiemimpinan dalam mieningkatkan kiepuasan kierja aparatur sipil niegara di kantor kielurahan cihierang kiecamatan cibieurieum kota tasikmalaya’’ tielah tierlaksana diengan baik dan siepienuhnya bierjalan optimal. Olieh kariena itu tingkat kiepuasan kierja di kielurahan cihierang sudah tierlaksana siecara iefiektif.
Rancang Bangun Sistem Pembaruan Firmware Over-the-Air (OTA) untuk Perangkat ESP32 Berbasis Layanan Cloud Faris Munir; Basuki Rahmat; Fawwaz Ali Akbar
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 2 (2025): Juli: Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i2.1180

Abstract

The rapid development of Internet of Things (IoT) technology has driven the need for efficient, secure, and reliable firmware update systems. Firmware plays a vital role in maintaining the performance, security, and functionality of IoT devices, including those based on the ESP32, which is widely used due to its cost-effectiveness and connectivity capabilities. However, conventional firmware update methods that require physical connections are inefficient for managing large-scale, distributed devices. Over-the-Air (OTA) technology offers a more relevant solution by enabling wireless firmware updates without manual intervention. This study aims to design and implement a cloud-based OTA firmware update system for ESP32 devices. In this approach, the ESP32 acts as a client that automatically downloads the latest firmware from a cloud server, eliminating the need for a local server infrastructure. The expected outcome is a system capable of efficiently distributing firmware, ensuring the integrity and authenticity of update files, and supporting large-scale IoT device management in a more practical and sustainable manner.
Implementasi Arsitektur Inception V3 Dengan Optimasi Adam, SGD dan RMSP Pada Klasifikasi Penyakit Malaria Eren Dio Sefrila; Basuki Rahmat; Andreas Nugroho Sihananto
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 2 (2024): Mei: Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i2.62

Abstract

In the current era of technological advancement, deep learning has become a widely discussed and utilized topic, particularly in image classification, object detection, and natural language processing. A significant development in deep learning is the Convolutional Neural Network (CNN), which is enhanced with various optimizations such as Adam, RMSProp, and SGD. This thesis implements the Inception v3 architecture for the deep learning model, utilizing these three optimization methods to classify malaria disease. The study aims to evaluate performance and determine the best optimization based on classification accuracy. The results indicate that the SGD optimization with a learning rate of 0.001 achieved an accuracy of 94%, RMSProp with learning rates of 0.001 and 0.0001 achieved an accuracy of 96%, and Adam with learning rates of 0.001 and 0.0001 achieved an accuracy of 95%.
Algoritma Hibrid untuk Menentukan Produksi Listrik Pembangkit Listrik Tenaga Sampah Di Semarang Safira Fegi Nisrina; Basuki Rahmat
Elkom: Jurnal Elektronika dan Komputer Vol. 15 No. 1 (2022): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i1.798

Abstract

Peningkatan pertumbuhan penduduk di Semarang berbanding lurus dengan peningkatan kebutuhan sampah dan listrik. Persoalannya, sampah hanya berpindah dari tempat pembuangan sampah ke tempat pembuangan akhir. Hal ini menyebabkan munculnya dampak buruk terhadap lingkungan kota yang kotor. Di sisi lain, permintaan kebutuhan listrik yang tinggi setiap tahunnya meningkat. Untuk mengatasi masalah ini adalah pemborosan telah dimanfaatkan bahan pembangkit listrik. Dua parameter telah diusulkan untuk memprediksi potensi pembangkit listrik tenaga sampah di kota Semarang seperti populasi dan sampah. Algoritma backpropagation dari JST telah digunakan untuk memprediksi pembangkit listrik tenaga sampah untuk tahun 2020 hingga 2022. Variabel yang digunakan dalam peramalan meliputi ukuran populasi dan volume sampah. Hasil penelitian menunjukkan bahwa produksi listrik WPP adalah 8,8 MWH untuk peramalan 3 tahun. sedangkan pertumbuhan orang ditunjukkan sebagai 1,7 juta selama 3 tahun. Potensi pembangkit listrik sampah PLN telah diberikan 0,29% dari total kebutuhan listrik di Jawa Tengah.
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): Juni: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/uranus.v1i2.110

Abstract

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 the diagnostic methods. With technological advancements, intelligent systems in image processing for image classification have been extensively used and have become a popular field due to their ability to replicate human visual capabilities. Image classification is performed using various supervised learning machine learning algorithms based on the shape, texture, and color of the images. This study employs two Convolutional Neural Network (CNN) architectures, ResNet50 and GoogLeNet, to compare the performance of these models in classifying MRI scans of patients with Alzheimer's and Parkinson's diseases. The results show that the ResNet50 model outperforms the GoogLeNet model, with parameters set to 100 epochs, a batch size of 128, a learning rate of 0.0001, and the Adam optimizer, achieving an accuracy rate of 90%.
Pulmonary Function Test of Compressor Divers in Sekotong Subdistrict, West Lombok, West Nusa Tenggara Widiastuti, Ida Ayu Eka; Yoga Pamungkas Susani; Putu Suwita Sari; Basuki Rahmat
Jurnal Biologi Tropis Vol. 25 No. 4b (2025): Special Issue
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4b.10591

Abstract

Diving activities using tire compressors, as practiced by some traditional fisherman-divers along the coast of Lombok Island when hunting fish and other marine products can cause lung dysfunction. The purpose of this study was to evaluate lung function in traditional divers who use tire compressors in Sekotong District, West Lombok, and to identify possible respiratory disorders arising from such diving activities. This research was an observational analytic study with a cross-sectional design. The data collected consisted of pulmonary function test results obtained through spirometry examination, including Forced Vital Capacity (FVC), Forced Expiratory Volume in 1 second (FEV₁), and the FEV₁/FVC ratio. Descriptive analysis consists of FVC, FEV₁, and FEV₁/FVC ratio values and their interpretations.  The results showed that the FVC value was 25.6% lower than the predicted value, while the FEV₁ value was 21.2% lower than the expected value. Most of the subjects (18 people) experienced restrictive-type pulmonary disorders (60%), which was higher than the proportion of subjects with normal pulmonary function (36.7%), while 3.3% experienced obstructive-type pulmonary disorders. Traditional divers who use tire compressors are at risk of reduced vital capacity and forced expiratory volume in one second.
Implementation of FaceNet for Facial Search Function in Reverse Image Search System Muhammad Rayhan Rachmansyah; Basuki Rahmat; Henni Endah
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 04 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i04.1880

Abstract

This study presents the implementation of the FaceNet deep convolutional neural network model as a facial search function for a reverse image search system. The research addresses the growing need for fast and accurate face recognition in digital applications, focusing on embedding-based similarity search rather than traditional classification methods. The system employs MTCNN for face detection and alignment, followed by the FaceNet model to generate 128-dimensional facial embeddings whose distances represent the similarity between identities. The methodology includes data preprocessing, embedding extraction, distance-based matching, and system evaluation using images with identical and non-identical identities. Experimental results show that the average embedding distance for identical faces is 0.47, while non-identical faces exhibit an average distance of 0.62. The proposed system achieves an accuracy of 94% on a test set of 100 images, demonstrating its effectiveness in distinguishing facial similarities. These findings confirm that embedding-based representation using FaceNet provides a reliable foundation for facial retrieval tasks in reverse image search applications, offering high discriminative capability and operational efficiency.
Solar Sonic Repeller : Inovasi Portabel Pengendali Hama Tikus Berbasis Energi Terbarukan Safira Fegi Nisrina; Nisrina, Safira Fegi; Mulyono Mulyono; Basuki Rahmat
Elkom: Jurnal Elektronika dan Komputer Vol. 18 No. 2 (2025): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v18i2.3262

Abstract

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 advantages lie in its portability and energy independence, thanks to the use of a charging module powered by an integrated photovoltaic (PV) panel with automatic battery charging during the day. The first test measured the output frequency using an oscilloscope to verify that the oscillator circuit produced waves at the specified frequency. The second test measured the device's effectiveness by examining the pest response to the device at various distances. This test was effective within a maximum radius of approximately 14 m from the center point, covering a rice field area of ​​250 m2.
Co-Authors A.A.S.M. Meiswaryasti Putra Achmad Junaidi Adi Kurnia Agung Mustika Rizki Agus Fatah Hidayat Aidil Aidil Akbar, Fawwaz Ali Alfons Letelay Andhika Ahnaf Daniswara Andreas Nugroho Sihananto Arfianto, Afif Zuhri Ari Ramdani Arifah Rosmajudi Astri Siti Fatimah Dedi Zafar Mutaqin Dian Herlina Dicky Satria Mahendra Dimas Pristovani Riananda Eka Prakarsa Mandyartha Eren Dio Sefrila Esther Esther Eva Yulia Puspaningrum Faris Munir Febrie Triyanto Rhizal Feri Ahmadi Hasin, Muhammad Khoirul Henni Endah Heroe Wijanto I Putu Arya Primananda Ida Ayu Eka Widiastuti Ika Dharmayanti Imam Sutrisno Inayatuddiniyah Inayatuddiniyah Ishak Kusnandar Ivan Dicksan Kadek Adi Sagita Reka Baya KETUT ANGGA ADITYA PUTRA PRAMANA Kiki Hartati Made Hanindia Prami Swari Mariyani Moch Firman hidayat Mohammad Firmansyah Muchammad Fadzillah Zain MUHAMMAD NIAL ALANUS SHOLAH Muhammad Rayhan Rachmansyah Muhammad Rifki Bahrul Ulum Mulyono Mulyono Muyasaroh Nigel, Mortekiano Nisrina, Safira Fegi Pinki Rizki Agustin Prayogi, Denis Putu Suwita Sari Rachmadhany Iman Retno Mumpuni Reyhan Jarsi Yoga Romi Ermawan, Romi Safira Fegi Nisrina Sebastian Edric Ardo Seto Priyambodo Shawn Hafizh Adefrid Pietersz Sony Sumaryo Suryansyah Suryansyah Suryo Novantara Tities Puspita yanna indrayana Yoga Pamungkas Susani Yusra Pintaningrum Zahra Zahra