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All Journal Jurnal Komputer Terapan Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Innovation Information Technology and Application (JINITA) Jurnal Pengabdian Masyarakat Multidisiplin Unri Conference Series: Community Engagement Literasi: Jurnal Pengabdian Masyarakat dan Inovasi
Sugeng Purwantoro E.S.G.S
Politeknik Caltex Riau
Aerospace Engineering Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Pengukuran Kinerja Kubernetes Cluster pada Nested Virtualization Berbasi KVM Sugeng Purwantoro Edy Suranta G.S; Widya Tri Wulan Sari; Muhammad Arif Fadhly Ridha
Jurnal Komputer Terapan Vol. 9 No. 1 (2023): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v9i1.5606

Abstract

Kubernetes is an open-source container orchestration system that can be implemented in both physical and visualized infrastructure. In the implementation of virtualization, there are remaining resources that are not utilized optimally. One way to solve this problem is to implement Nested Virtualization. This study measures performance to analyze the resource usage (CPU, memory, disk, and network) of the Kubernetes cluster on KVM-based nested virtualization technology. The results of using standby and busy Kubernetes cluster memory in nested virtualization are higher, reaching 42% compared to only the Kubernetes cluster, which is 30%. CPU usage in standby and busy conditions in a Kubernetes cluster is higher at 65% compared to a Kubernetes cluster in Nested Virtualization, which is 36%. The high latency result is 237 ms on a Kubernetes cluster compared to a Kubernetes cluster on Nested Virtualization which is 40 ms. The disk read and write speeds of Kubernetes cluster technology are 410 MB/sec and 397 Mb/sec, while the Kubernetes cluster in Nested Virtualization is 116 MB/sec and 597 MB/sec. The network speed for downloading and uploading in a Kubernetes cluster is higher, namely, 39.1 Mbit/s and 53/94 Mbit/s, while the Kubernetes cluster in Nested Virtualization is 35.54 Mbit/s and 53.58 Mbit/s.
Implementasi Automation Deployment pada Google Cloud Compute VM menggunakan Terraform Debi Gustian; Yuli Fitrisia; Wenda Novayani; Sugeng Purwantoro E.S.G.S
Jurnal Inovtek Polbeng Seri Informatika Vol 8, No 1 (2023)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v8i1.3095

Abstract

Penelitian ini menyajikan implementasi penerapan otomatis menggunakan Terraform pada Google Cloud Compute VM. Tujuannya adalah untuk merampingkan proses penerapan dan meningkatkan efisiensi dalam penerapan. Penelitian ini melibatkan penyiapan lingkungan cloud di Google Cloud, mengonfigurasi kode Terraform untuk menerapkan sumber daya yang diperlukan, dan mengotomatiskan proses penerapan. Hasil penelitian menunjukkan bahwa menggunakan Terraform untuk otomatisasi penerapan di Google Cloud Compute VM secara signifikan mengurangi waktu dan upaya penerapan. Implementasi penerapan otomatisasi juga memberikan manfaat seperti peningkatan konsistensi, peningkatan produktivitas, dan pengurangan kesalahan dalam proses penerapan. Dari hasil pengujian yang telah dilakukan penulis dapat membuat 4 VMinstance (server) yang ada di google cloud dalam satu waktu dengan code yang telah dikonfigurasikan, untuk jumlah VM dapat diatur sebanyak yang dibutuhkan dengan speksifikasi yang bisa di atur sesuai kebutuhan, juga dapat menghapus semua VM yang telah dibuat dalam satu waktu.
Monitoring System for Hazardous Gas in Landfill Site Based on Internet of Things Sugeng Purwantoro E.S.G.S; Wenda Novayani; Raviqa Sandra Putri
Journal of Innovation Information Technology and Application (JINITA) Vol 5 No 1 (2023): JINITA, June 2023
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v5i1.1740

Abstract

The landfill is a place where waste reaches the last stage in its management since it began to arise in the source, collection, transportation, processing, and disposal. Muara Fajar landfill is one of the landfills in Pekanbaru City whose garbage increase exceeds the capacity of waste storage land so that it can produce 800 tons of garbage per day in dry weather and 1000 tons per day in rainy weather. The problem caused by the management of the Muara Fajar landfill is air pollution due to the process of decomposing organic matter anaerobically which has the potential to cause unpleasant odors and health problems. With this problem, a system was built to monitor and detect hazardous gases in landfill, namely H2S gas using MQ-136 sensors, CH4 gas by MQ-4 sensors, and CO2 and NH3 gases using MQ-135 sensors. This system is implemented with the IoT protocol, MQTT Broker to receive and send monitoring data to the Website with notifications from the telegram web application. Based on testing the value of ppm in CO2 Gas with a danger status of 1000-4000 ppm, H2S Gas is 10-400 ppm, NH3 is included in the status of be careful which is 0.03 ppm, and CH4 with normal status because the value of ppm levels is below 10000 ppm
Perancangan Sistem Informasi Geografis Pariwisata Pasaman Barat Berbasis Android Menggunakan Metode Haversine Sugeng Purwantoro Edy Suranta G.S
Jurnal Komputer Terapan Vol. 7 No. 2 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (404.839 KB) | DOI: 10.35143/jkt.v7i2.4876

Abstract

Tourism is an activity that is mostly carried out by the community today which aims to find a new atmosphere outside of daily routine activities. There are quite a lot of tourist destinations in Sumatra and one of them is a tourist location in West Pasaman Regency. However, many tourist objects are not known by visiting tourists, due to the lack of available tourist attraction information. Geographic Information System (GIS) can provide location information of a place, which can be used to display the location of tourist objects needed by tourists. The design of this system provides distance estimation calculations and recommendations for the closest distance locations using the Haversine method which functions to calculate the distance between two points. The system is designed on the android platform, MySQL database and PHP programming language. Tests using White Box, Black Box, and comparison testing with Google Maps Distance. In the White Box testing on the Haversine Formula program code and the tourist display program code, the results obtained are Cyclomatic Complexity 1 and 2 values, it is concluded that the program code has a simple risk level and without much risk so that it is easy to maintain and test the program flow. Black Box testing concluded that the functionality of the system is running well, in the analysis of the comparison test obtained an accuracy value of 100% and it is concluded that the calculation results are the same as Google Maps Distance
Design and Implementation of Intelligent Traffic Lights for One-Way Open and Close Roads Based on Reinforcement Learning Yoanda Alim Syahbana; Sugeng Purwantoro E.S.G.S; Muhammad Wahyudi; Muhammad Imam Akbar; Ibnu Zachri Baihaqi
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 2 (2025): JINITA, December 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i2.2691

Abstract

This study aims to design and implement an intelligent traffic light system for one-way open and close road conditions, commonly encountered during road repair projects. These situations often cause congestion due to alternating vehicle flow in a single lane. To address this issue, the system utilizes a Reinforcement Learning (RL) algorithm to dynamically adjust the traffic light timing based on real-time traffic conditions. The research was conducted in three main stages: (1) designing the network topology and IoT devices using Raspberry Pi, ESP modules, and Access Points (APs), (2) implementing the intelligent traffic light system, and (3) conducting a functional evaluation. A key performance metric evaluated was the response time of the system. Experimental results showed that the traffic light system achieved an average response time of 0.51 seconds, indicating that it is responsive and suitable for real-time operation. The successful integration of RL and MQTT-based communication also demonstrates the feasibility of deploying this system in dynamic traffic environments. Further research is recommended for field testing with additional sensor integration and advanced RL models to enhance system accuracy and efficiency
Co-Authors Akbar, Memen Debi Gustian Ibnu Zachri Baihaqi Kartina Diah K. W. Mardhiah Fadhli, Mardhiah Melisa Adhari Mochamad Susantok Muhammad Arif Fadhly Ridha Muhammad Imam Akbar Muhammad Ismu Haji Muhammad Wahyudi Nadya Tri Ayunestina Nurmalasari, Dini Raviqa Sandra Putri Rochman Widyatmoko Satria Perdana Arifin Wenda Novayani Widya Tri Wulan Sari Yoanda Alim Syahbana Yuli Fitrisia Yuli Fitrisia