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All Journal Jurnal Penelitian Rumpun Ilmu Teknik Journal of Engineering Science and Technology Management
Adri Yanto
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Analisis Dan Implementasi Perban Analisis Dan Implementasi Perbandingan Protokol VRRP Dan HSRP Pada Jaringan Topologi Star Ramdhani Syahputra; Romi Mulyadi; Muhamad Yusuf; Yogi Pratama; Adri Yanto
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 1 (2024): Februari : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i1.3397

Abstract

The development of information and communication technologies forms more stringent requirements for indicators of reliability and availability of modern communication network services, which are expected to be available 24 hours a day throughout the year so that it is possible to use applications and services running on them at any time. To support network reliability and availability, routing protocols and redundancy are needed to handle failures in a network. A solution to increase network availability and reliability is using the First Hop Redundancy Protocol (FHRP), which consists of the Hot Standby Router Protocol (HSRP) and Virtual Router Redundancy Protocol (VRRP). The results of the tests show that the delay difference between VRRP and HSRP is 0.16ms with a combination of EIGRP routing. In terms of packet loss parameters, when the primary network route is disconnected, there is an increase in packet loss of 1.01% on VRRP, 3.05% on HSRP combined with EIGRP routing, and 0.2% on VRRP, 0.4% on HSRP. Although delay and packet loss increased, the results obtained in this study met the standards set by ITU-T. The difference between VRRP and HSRP is 0.305 bit/ms in the throughput parameter. Meanwhile, the convergence time in VRRP is 5.14 seconds, HSRP 5.07 seconds, and the downtime parameter in VRRP is 12.6 S, 17.1 in HSRP.
Sistem Informasi Pelayanan Kamar Asrama LPMP Sumatera Barat Berbasis Web Adri Yanto
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 1 (2024): Februari : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i1.3505

Abstract

The Dormitory Room Data processing system at LPMP West Sumatra still uses the method of filling in data with a piece of paper for reception of guests at LPMP West Sumatra and there is no automatic processing using a particular system, therefore the author conducted research at the Education Quality Assurance Institute in Sumatra Province West by collecting information and data that will be processed to create an information system for the West Sumatra LPMP Dormitory Room Service which consists of data input, data processing and report preparation. This information system can produce Guest Data Recap reports, Financial Data Recap reports, Room Availability Data Reports and Guest Order Data recap reports. This information system was designed and adapted to the needs of the West Sumatra Province Education Quality Assurance Institute (LPMP) to make it more effective and efficient, and it is hoped that the West Sumatra LPMP Dormitory Room Service Data processing can be optimized.
Perancangan Aplikasi Dokumen Elektronik Terintegrasi dalam Pengelolaan Dokumen Klaim BPJS Kesehatan pada Era SEP Elektronik Heru Rahmat Wibawa Putra; Adri Yanto
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 1 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i1.4756

Abstract

Digital transformation in the health sector drives the need for efficiency in document management, especially for BPJS Kesehatan claims. Manual processes often cause delays and the risk of losing documents. Therefore, this study aims to design an integrated electronic document application to overcome these problems. This study uses the SDLC Waterfall approach which includes the stages of gathering needs, design, implementation, testing, and maintenance. Data were collected through interviews, observations, and needs analysis at the Ibnu Sina Islamic Hospital, Payakumbuh. The designed application successfully integrates various BPJS Kesehatan claim documents, such as Individual Patient Sheets (LIP), Participant Eligibility Letters (SEP), and laboratory results, into one PDF format automatically. The designed system can help the digital transformation of hospitals and simplify the claim verification process. The integrated electronic document application improves the efficiency and accuracy of BPJS Kesehatan claim document management.
Mortality Rate Analysis Covid-19 Patients Based on Condition Comorbidities with Approach K-Means Clustering Yanto, Adri; Margi Astuti, Epu; Mustika, Aai
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 1 (2025): Maret 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i1.240

Abstract

The COVID-19 pandemic, which emerged in China in late 2019, rapidly spread to over 200 countries, including Indonesia. In response, various preventive measures were implemented to mitigate the increasing number of infections. West Sumatra Province ranked 11th out of 34 provinces in terms of confirmed COVID-19 cases. Patients infected with COVID-19 in this region often presented with comorbidities such as hypertension, diabetes mellitus, chronic obstructive pulmonary disease (COPD), cardiovascular disease (CVD), liver disorders, obesity, renal disease, and malignancies conditions known to contribute significantly to COVID-19-related mortality. This study aims to identify the mortality risk associated with comorbidities in COVID-19 patients using clustering analysis. A total of 91 patient records from a hospital in Padang City were analyzed. The data included age, primary and secondary diagnoses, all classified using the International Classification of Diseases (ICD-10). The K-Means Clustering algorithm was employed to categorize comorbidities into high, medium, and low-risk groups. Data processing was conducted using RapidMiner software, and accuracy was evaluated using mathematical calculations. The results indicated that Cluster 1 (high-risk) consisted of 5 comorbid diseases, Cluster 2 (medium-risk) included 9 diseases, and Cluster 3 (low-risk) encompassed 35 comorbid diseases. These findings demonstrate that clustering analysis is effective in classifying mortality risk based on comorbid conditions and can be utilized to support clinical prioritization and resource allocation during pandemic management.
Co-Authors Heru Rahmat Wibawa Putra Margi Astuti, Epu Muhamad Yusuf Mustika, Aai Romi Mulyadi Syahputra, Ramdhani Yogi Pratama