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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Teknik Komputer AMIK BSI JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) JURNAL MITRA PRIMA Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Paradigma INOVTEK Polbeng - Seri Informatika
Yonata Laia
Universitas Prima Indoensia
Aerospace Engineering Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Veterinary

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Implementation of a Real-Time Dashboard for Monitoring Backflow Detection in IoT-Based IV Lines Albert Wijaya; Geraldy Asad Arslan Pinem; Novi Enjeli; Yonata Laia
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 2 (2026): May
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/d0k49b45

Abstract

Continuous monitoring of patients receiving intravenous therapy is crucial to prevent blood from flowing back into the IV line (reflux), which can endanger patient safety. This study aims to design and develop an Internet of Things (IoT)-based monitoring device capable of detecting blood backflow in the IV line and presenting data in real-time via a web-based dashboard. The system utilizes a TCS3200 color sensor to detect specific color changes in the infusion fluid when blood enters the line. Data obtained from the sensor is processed by an ESP8266 microcontroller and transmitted to a Flask-based server via the HTTP protocol, then visualized on a Dash-based web dashboard. Experimental testing was conducted through 50 trials under various ambient light conditions. The test results show that the system achieved a 100% accuracy rate in differentiating clear infusion fluid from blood backflow. Furthermore, the system demonstrated a rapid data transmission response with an average latency of 1.5 to 2.2 seconds to trigger notifications on the medical staff's dashboard. This device successfully minimizes the risk of blood coagulation and is expected to improve healthcare efficiency and patient safety in medical facilities.  
Improving Population Services With Application of Genetic Algorithm Yonata Laia; Naomi Br Hutagalung; Imanuel Purba; Juli Rostianita Sitopu
Paradigma - Jurnal Komputer dan Informatika Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/paradigma.v24i2.1252

Abstract

Abstrak - Sistem komputerisasi saat ini sudah lah menjadi alat biasa di gunakan perusahaan, perkantoran seperti dalam pengurusan pengajuan kk, aktalahir, ktp. Dalam hal ini masalah yang sering tejadi pada kator lurah atu kantor camat adalah lamnya antrian dalam pelayanan setiap masyarakat yang akan mengurus pengajuan pembuat berkas-berkas mereka, maka dengan itu perlu ada sebua sistem yang akan membantu setiap pegawai dan lebih meminimalisir kinerja dari penanggung jawab pengurusan berkas. Pada peneltiian ini akan menggunakan metotode penjadwalan dengan algoritma genetika. Hasil dari penelitin berhasil meminimalisir waktu tunggu oleh masyarakat yang akan mengajukan berkas.
Analysis Forecasting Sales With Single Exponential Smoothing Method Abraham Manalu; Dewi Roito; Eika Rizkiadina; Yonata Laia
Paradigma - Jurnal Komputer dan Informatika Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/paradigma.v24i2.1255

Abstract

Currently, as we know, with the use of computer-based systems, almost everyone's activities depend on computer-based systems. One of the now very acceptable uses of the application is the sales system. In this research, the problem faced is the difficulty of determining the amount of inventory stock each month. The reason is the number of types of goods that are not small. This is what the researcher wants to solve the problem with the single exponential smoothing method. Because the method used can do fortune-telling in the short term, for example, one month ahead. The results of this study succeeded in predicting the amount of inventory in stock every month.
Co-Authors -, Amalia Abraham Manalu Agusman Halim Albert Tantowi Albert Wijaya Amalia Amalia Amir Mahmud Husein, Mawaddah Harahap, Amir Andi Saputra Annisa Maulida Asido, Elpri Asima Putri Bangun, Pilipus Abiyana Banjarnahor, Jepri Barasa, Randy Aldany Barus, Ertina Sabarita Butar-Butar, Josepin Romiansyah Carvirindo Fenaldi Chai, Darwin Chandra Wijaya Delima Sitanggang, Delima Devi Susanti Dao Dewi Roito Eika Rizkiadina Elfrin Hulu Eli Suriadi Simatupang Elly Romy Erick Erick Fahmi, Mohammad Irfan Fahmi Felix Felix Frankie Frankie Friska Claudia Pasaribu Gajah, Umar Geraldy Asad Arslan Pinem Ginting, Alwi Halim, Agusman Haposan Lumbantoruan Hendrik K. Laoli Hery H Hulu, Dedy Ristanto Hulu, Ricky Kristian Arifin Hutabarat, Novita Karolina Hutahaean, Pani Rosalita Imanuel Purba Indra, Evta Jegedis Pri Jennifer Priscilla Jerry, Jerry Johannes Bastira Ginting Juli Rostianita Sitopu Keliat, Ribka Amelia Yunita Lumban Gaol, Marulitua Luvi Anggelia Pane M Afifuddin Alwy Nasution Manusun Silitonga Marlince NK Nababan Meliany Sondang Sumantri Naomi Br Hutagalung Naomita Sihombing Napitupulu, Lilis Handayani Natasia, Sri Rahayu Novi Enjeli Oloan Sihombing Oloan Sihombing, Oloan Ompusunggu, Elvis Sastra Pelawi, Predho Pranata, Billy Putera, Ihsan Rinaldi, Ekik Jazmin Sagala, Yessy Phalentina br Salim, Stanley Samosir, Roman Saut Parsaoran Tamba Siahaan, Mikael Sibarani, Tri Dedi Silalahi, Andreas Brehme Silvia Erika Zega Simanjuntak, Adolf Mulia Simarmata, Egi Meilan Sinaga, Wilson Sitepu, Ricky Andrean Siti Aisyah Sitio, Bram Gideon Sutrisno - Tandian, Charles Tanzil, Alferedo Tedy Wijaya Tessalonika Siahaan Tomi Darmawan Bangun Tri Suci Vickash Prasadh Victor Wijaya Vincent Leonardy Wandry Sitorus Wati, Emma Nor Kholida Willy Wijaya Winata, Jaspin Yennimar Yuliani C. Simanjorang