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ALAT BANTU AKTIVITAS DISABILITAS PADA PENGISIAN AIR MINUM Putra Pratama, Saga Eka; Ritzkal, Ritzkal; Afrianto, Yuggo
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 3 (2024): JATI Vol. 8 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i3.9746

Abstract

Penyandang disabilitas menghadapi keterbatasan dalam aktivitas fisik, mental, atau sensorik, mempengaruhi mobilitas dalam kehidupan sehari-hari, Khususnya dalam aktivitas harian yang melibatkan pergerakan, seperti pengisian air minum untuk memenuhi kebutuhan manusia sehari-hari, mobilitas memiliki peran krusial. Penelitian ini berfokus pada mengembangkan prototype alat pendukung aktivitas untuk penyandang disabilitas fisik menggunakan teknologi Arduino Uno. Alat ini menggunakan sensor ultrasonik untuk mendeteksi gelas khusus dan mengatur aliran air secara otomatis, memulai pengisian saat air mencapai 0 cm dan menghentikan saat mencapai 5 cm. Notifikasi pengisian dikirim melalui Ethernet Shield ke aplikasi Telegram. Modul Bluetooth HC-05 digunakan untuk menghubungkan alat dengan aplikasi Bluetooth RC Controller, memungkinkan pengendalian perangkat via smartphone. Penelitian ini mengintegrasikan teknologi untuk meningkatkan partisipasi penyandang disabilitas fisik dalam aktivitas sehari-hari, khususnya dalam mengambil air minum. Prototype berhasil beroperasi efektif, mengisi air secara otomatis dan mengantar gelas khusus, berkat penggunaan Arduino sebagai pengendali yang mengolah data dari sensor
Implementasi Sistem Load Balancing Pada Web Server Berbasis Raspberry Pi Dengan Metode Long Short-Term Memory Halimatusyadiah, Halimatusyadiah; Afrianto, Yuggo; Prakosa, Bayu Adhi
Jurnal Pendidikan dan Teknologi Indonesia Vol 4 No 11 (2024): JPTI - November 2024
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.477

Abstract

Peningkatan jumlah pengguna internet telah berhasil meningkatkan beban pada web server, mengakibatkan risiko overload dan penurunan kinerja layanan. Sistem load balancing menjadi solusi penting untuk mendistribusikan permintaan layanan secara merata. Penelitian ini mengembangkan sistem load balancing berbasis metode Long Short-Term Memory (LSTM) pada server web dengan menggunakan Raspberry Pi sebagai platform komputasi. Metode ini dijalankan untuk memprediksi beban CPU berdasarkan data time series, memungkinkan distribusi beban yang lebih akurat dan dioptimalkan. Hasil pengujian menunjukkan peningkatan total permintaan sebesar 4%, penurunan waktu respons rata-rata sebesar 9%, pengurangan tingkat error sebesar 32%, dan peningkatan throughput sebesar 12%. Penelitian ini memberikan kontribusi penting pada pengembangan sistem load balancing berbasis prediksi yang lebih disesuaikan terhadap pola lalu lintas dinamis, sekaligus menawarkan solusi hemat biaya untuk implementasi pada skala kecil.
Implementasi Sistem Load Balancing Web Server Menggunakan Metode Auto Regressive Integrated Moving Average (ARIMA) Sulaikandi, Brisman Armansyah; Afrianto, Yuggo; Prakosa, Bayu Adhi
Jurnal Pendidikan dan Teknologi Indonesia Vol 4 No 12 (2024): JPTI - Desember 2024
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.512

Abstract

Web server adalah perangkat lunak yang menyediakan layanan berbasis data dan merespons permintaan dari web browser, Akan tetapi masalah umum yang dihadapi oleh server web, seperti lalu lintas tinggi, waktu henti, beban yang tidak merata, dan pemilihan server yang tidak tepat dapat mengurangi kinerja dan efiensi sistem, masalah tersebut juga dapat diatasi secara efektif melalui berbagai teknik Load Balance. Teknik load balancing adalah proses mendistribusikan beban kerja di berbagai sumber daya komputasi untuk mengoptimalkan waktu respon dan meningkatkan kinerja sistem. Penelitian ini bertujuan untuk meningkatkan kinerja web server melalui implementasi sistem load balancing berbasis metode Auto Regressive Integrated Moving Average (ARIMA). Teknik ini diterapkan untuk memprediksi penggunaan Central Processing Unit/Processor (CPU) dan mengarahkan lalu lintas ke server dengan beban paling ringan. Hasil menunjukkan peningkatan throughput dan total request pada server sebesar 27% dan 58%, serta penurunan waktu respon rata-rata dan persentase error sekitar 18% dan 46%. Metode ini memberikan kontribusi signifikan terhadap optimasi kinerja sistem dan manajemen sumber daya komputasi, serta dapat mengatasi masalah beban yang tidak merata dan pemilihan server yang tidak tepat secara efektif.
Live Migration Performance Test on Linux-based Mail Server Service Triansyah, Muhammad Bugi; Hendrawan, Ade Hendri; Afrianto, Yuggo; Kurniawan, Ridwan; Ritzkal, Ritzkal
Moneter: Jurnal Keuangan dan Perbankan Vol. 12 No. 2 (2024): JULI
Publisher : Universitas Ibn Khladun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this study is to assess the performance of live migration of Linux-based email server services using Proxmox virtualization technology. The server usedemail that electronic mail serveris Squaremail, an open-source program running on the Ubuntu operating system.is Squaremail, an open-source program running on the Ubuntu operating system. The live migration process transfers Squaremail data and the Ubuntu operating system from one physical host to another without affecting running services.transfers Squaremail data and the Ubuntu operating system from one physical host to another without affecting running services.The migration is performed by utilizing Proxmox's live migration feature, utilizing which allows the transfer of virtual hosts without downtime. Proxmox's live migration feature, which allows the transfer of virtual hosts without downtime. migration process, the mail server was monitored to monitor the impact of live migration on service performance. study report on the results of downtime during the migration process without interruption and analyze the cost of using Proxmox to perform live migration on the Squaremail mail server.
PURWARUPA SISTEM MONITORING KENDALI PAKAN IKAN BERBASIS WEB DAN RASPBERRY PI Komarudin; Yuggo Afrianto; Prakosa, Bayu Adhi; Hendrawan, Ade Hendri
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 8 No 2 (2022): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v8i2.1334

Abstract

The hobby is an activity that is usually done by humans, keeping fish in an aquarium, for example. However, busyness or activities that have become routine often become obstacles when distributing these hobbies. For example, when someone has to travel far but still has to maintain his hobby of keeping fish to condition his pets and provide appropriate feed. Therefore, this research makes a prototype tool that can make it easier for hobbyists by monitoring fish and feeding them directly. This study uses several stages of research, including the analysis stage, the design stage, the implementation stage, and the testing stage. The results of this study are monitoring of fish conditions can be seen directly via the web by streaming. The results of testing the control of fish feeding are where the feed reservoir volume is 100 grams optimally when adjusting the feed opening and closing using a servo motor setting shifted 10 degrees and open for 4 seconds to produce feed—weighing 4 grams that fell into the aquarium
LAYANAN PEMERIKSAAN DAN PENGUMPULAN DATA KESEHATAN SISWA-SISWI KELAS VI BERBASIS SISTEM INFORMASI MENGGUNAKAN METODE FUZZY TSUKAMOTO Jejen Jaenudin; Yuggo Afrianto; Yoga Hardi Firdaus
SINKRON: Jurnal Pengabdian Masyarakat UIKA Jaya Vol. 1 No. 3 (2023): SEMUA ARTIKEL TERBIT SECARA ONLINE
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jpmuj.v1i3.1914

Abstract

Health is an asset given by humans, therefore health is a very expensive value. Students who are facing the final exam as a condition of graduation, are expected to have a health condition to be able to take the exam and tutoring school National Examination. Therefore the results of observations in community service activities found the need for a system that is able to predict student health by collecting data on the health of any student included in the category of healthy, less healthy, and unhealthy by examining it. The method used in predicting uses Fuzy Tsukamoto's method and the client and server system development method. The test results obtained by examining 78 students and able to predict 60 people in the healthy category and 18 people sick.
IMPLEMENTASI MERDEKA BELAJAR MELALUI PROGRAM KAMPUS MENGAJAR DALAM MENINGKATKAN KOMPETENSI LITERASI DAN NUMERASI Putri, Azzahra Safira Sekar; Putri, Adriani Rianita; Muchtar, Kaisha Az Zahra; Ilma, Neng; Sonia, Neng; Mahpulah, Siti Ainun; Afrianto, Yuggo
SINKRON: Jurnal Pengabdian Masyarakat UIKA Jaya Vol. 2 No. 3 (2024): SEMUA ARTIKEL TERBIT SECARA ONLINE
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jpmuj.v2i3.2283

Abstract

The Teaching Campus Program Batch 2 is one of the programs from the Merdeka Campus (MBKM) which is a teaching assistant to empower students from all over Indonesia in helping the learning process, creating creativity to improve the quality of learning in elementary schools throughout Indonesia, especially those in the 3T area and accreditation C. The objectives of the Teaching Campus include increasing the ability or competence of students, especially in terms of literacy and numeracy, assisting in technology adaptation, school administration, as well as improving student character and increasing interest in learning during the COVID-19 pandemic. The results show that this program is proven to have a positive impact on students such as interest in learning, literacy skills, and numeracy. In addition, the adaptation of technology and school administration is also going well, this is proven by changes for the better during the activities.
Performance assessment of time series forecasting models for simple network management protocol-based hypervisor data Afrianto, Yuggo; Munadi, Rendy; Setyorini, Setyorini; Widyanto, Toto
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i2.pp1150-1163

Abstract

Time series forecasting is vital for predicting trends based on historical data, enabling businesses to optimize decisions and operations. This paper evaluates forecasting models for predicting trends in simple network management protocol (SNMP)-based hypervisor data, essential for resource allocation in cloud data centers. Addressing non-stationary data and dynamic workloads, we use PyCaret to compare classical models like autoregressive integrated moving average (ARIMA) with advanced methods such as auto ARIMA. We assess 30 models on metrics including CPU utilization, memory usage, and disk reads, using synthetic and real-time datasets. Results show the naive forecaster model excels in CPU and disk read predictions, achieving low root mean squared errors (RMSE) of 0.71 and 869,403.35 for monthly and daily datasets. For memory usage predictions, gradient boosting with conditional deseasonalisation and detrending outperforms others, recording the lowest RMSE of 679,917.6 and mean absolute scaled error (MASE) of 4.46 on weekly datasets. Gradient boosting consistently improves accuracy across metrics and datasets, especially for complex patterns with seasonality and trends. These findings suggest integrating gradient boosting and naive forecaster models into cloud system architectures can enhance service quality and operational efficiency through improved predictive accuracy and resource management.
PERANCANGAN SISTEM INFORMASI PEMESANAN JASA BERBASIS DESKTOP VISUAL BASIC.NET DI CV. SURYA GEMILANG STEEL Afrianto, Yuggo; Jaenudin, Jejen
Computer Based Information System Journal Vol. 8 No. 2 (2020): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v8i2.1957

Abstract

Perkembangan sistem informasi mampu menjadi solusi diberbagai bidang, salah satunya adalah wirausaha. Perusahaan Surya Gemilang Steel merupakan perusahaan yang bergerak di bidang penjualan produk jasa pembuatan tralis, kanopi, ralling balkon, ralling tangga, pagar.  Namun dalam pengolahan data masih menggunakan secara manual dan pengolahan dalam transaksi uang muka hanya dicatat dan kemudian diketik dalam bentuk word untuk dikirim ke konsumen. Oleh sebab itu, dalam penelitian ini perlu membangun sistem informasi pemesanan jasa berbasis desktop, sehingga dapat mempermudah pihak manajemen dalam melakukan pekerjaan dan dapat meningkatkan efektivitas dan efisien dari penggunanya. Metode pengembangan sistem yang digunakan adalah model ADDIE (Analisis, Desain, Development, Implementasi dan Evaluasi) menggunakan bahasa pemrograman visual basic .net. Hasil dari penelitian ini adalah aplikasi desktop sistem informasi pemesanan jasa telah dibuat dan dapat diimplementasikan berdasarkan hasil pengujian fungsional setiap menu telah sesuai dan memenui kebutuhan dari pengguna CV. SURYA GEMILANG STEEL.
Implementasi Sistem Kontrol Manajemen Energi Hibrid Berbasis Mikrokontroller Muliawati, Fithri; Riyadi, Slamet; Annisa, Sarah Chairul; Afrianto, Yuggo; Ginting, Novita Br
PROtek : Jurnal Ilmiah Teknik Elektro Vol 9, No 2 (2022): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v9i2.4117

Abstract

Currently, world researchers are competing to find the most effective and efficient way to use renewable energy sources, namely energy from sunlight and solar and wind heat or it can be called hybrid energy. The use of this hybrid energy technology can certainly save conventional fuel and reduce the risk of ecosystem damage caused. This study aims to see the energy value resulting from the implementation of a hybrid energy management control system that has been created based on a microcontroller. With the experimental method, the results were obtained that the solar cell voltage value was highest at 11 pm with 28.87 Vdc, then for the voltage of the wind energy was the highest at 27.85 at the 3rd minute at 4 pm. For energy testing of batteries, the results were obtained that if there is only one energy source to charge the battery, it takes 9 hours while if it is a hybrid energy source, it only takes 2.5 hours. This proves that hybrid energy is very effective rather than relying solely on one of the energy sources.
Co-Authors .S.T., M.Kom., Suhadi Acep Ansor Afif Rafyan Agus Rohimat Ajmilah, Wika Alhadi, Ade Andes Andes Angelina, Putri Anggra Triawan Annisa, Sarah Chairul Arief Goeritno Arif Sulistio Aris Kurniawan Yusuf Asep Ramdan Sopyan Nurdin Asep Syaepudin Dahlia Widhyaestoeti Dedi Supriadi Desmy Riani Dewi, Kalih Puspita Didik Setiyadi Ebim Fatur Rohman EKO WAHYUDI Enomi Muhamad Giri Salako Fahrezi, Muhamad Rizky Falma, Nuru Fauzan, Ilham Rizq Fety Fatimah Firdaus, Fadhillah Fithri Muliawati Fitria Rachmawati Gibhta Fitri Laxmi Gibtha Fitri Laxmi Hadi, Eko Halimatusyadiah, Halimatusyadiah Hannisa Rahmaniar Hasnin Hendra Ginanjar Hendrawan, A. Hendri Heru Sukoco Ibnu Hanafi Setiadi Ilma, Neng Indriyawati Indriyawati, Indriyawati Ivanna Chaisar Putra Jejen Jaenudin Jejen Jaenudin Komarudin Kurnia, Annisa Desri Leny Tritanto Ningrum M. Imam Sundarta Mahpulah, Siti Ainun Maswan, Maswan Maulana, Fachry Rizky Muchtar, Kaisha Az Zahra Ningrum, Almyanti Ningrum, Leny Tritanto Novita Br Ginting Nurhayati, Immas Nurzaelani, Mohammad Muhyidin Permana, Arisandi Anwar Prakosa, Bayu Adhi Puspa Eosina Putra Pratama, Saga Eka Putri, Adriani Rianita Putri, Azzahra Safira Sekar Putria, Chairunnisa Melani Rendy Munadi Renea Shinta Aminda Ridhan Anggihadi Prayudha Ridwan Kurniawan Ritzkal, Ritzkal Rizky Amalia Sa'diah, Maemunah Sa'diyah, Maemunah Sajaratul Aini Sarah Chairul Annisa Setyorini Setyorini Setyorini Slamet Riyadi Slamet Riyadi Sonia, Neng Sulaikandi, Brisman Armansyah Suratun Suratun Suratun Suratun Syafrial Syafrial Syaiful . Tri Hartono, Tjahjo Triansyah, Muhammad Bugi Wahjuni, Sri Widyanto, Toto Wulandari, Berlina Yashintya Nelawati Yoga Hardi Firdaus Yoga Permana Yunita Yunita