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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
PELATIHAN PEMBUATAN PERANGKAT AJAR INTERAKTIF MENGGUNAKAN MENTIMETER Yuli Fitrisia; Mardhiah Fadhli; Dini Nurmalasari; Wenda Novayani; Sugeng Purwantoro ESGS
Jurnal Pengabdian Masyarakat Multidisiplin Vol 5 No 3 (2022): Juni
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v5i3.2388

Abstract

Currently, the whole world is struggling to deal with the COVID-19 pandemic. During the pandemic, many things were affected and changed the habits of all mankind in the world, including the field of Education which changed drastically. Previously, the teaching and learning process was mostly done face-to-face in the same place or location, but now it has to be done online. During the online learning process, many problems arise from both the teacher and student. One of them is that students get bored quickly, lack of student involvement and participation in the teaching and learning process. This is a challenge for teachers how to create an interesting and interactive learning atmosphere. However, the obstacle faced by teachers is that not all teachers understand and know what media can be used to make the learning process interesting and interactive. Based on these problems, in this Pengabdian kepada Masyarakat activity, training activities for making teaching devices using a Mentimeter have been carried out for teachers of SMK Taruna Persada Dumai which was held on September 25, 2021 with a total of 16 participants. The purpose of this activity is to prepare an interesting and interactive teaching and learning process to increase student involvement and participation when the teaching and learning process is carried out online and to help partners have basic understanding and skills in using interactive learning applications. The result of this activity is an evaluation of activities that have been carried out through a questionnaire, it is found that the material presented can add insight to the teacher, in accordance with the expected competencies so that later it can be applied to the teaching and learning process. In addition, participants felt comfortable following the training because of the positive interaction between participants and presenters and the way the material was presented in an interesting way. Based on the results of the questionnaire, recommendations were also obtained for the next activity in the form of training in making learning videos and using other learning media to support the teaching and learning process.
IMPLEMENTASI SCL UNTUK MENAMBAH KOMPETENSI SISWA SMK DALAM MEMONITOR PROYEK IOT MELALUI PLATFORM BLYNK: SCL IMPLEMENTATION TO ADD VOCATIONAL SCHOOL STUDENT COMPETENCE IN MONITORING IOT PROJECTS THROUGH THE BLYNK PLATFORM Yoanda Alim Syahbana; Sugeng Purwantoro E.S.G.S; Memen Akbar; Wenda Novayani; Mardhiah Fadhli
Jurnal Pengabdian Masyarakat Multidisiplin Vol 6 No 3 (2023): Juni
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v6i3.3192

Abstract

SMK Taruna Persada Dumai is one of the vocational schools that participate in the SMK Center of Excellence program. This program focuses on developing specific skill competencies for SMK students. Competency development is prioritized on competencies that are aligned with the business world, industrial world, and world of work. Based on the evaluation of the previous year's Community service activities, the SMK Taruna Persada Dumai asked to continue the activity to increase its students’ competencies. The competency that will be taught in the 2022 Community service PSTRK is an introduction to the field of IoT which is currently developing. PSTRK implements Student-Centered Learning (SCL) to increase the competency of SMK students in monitoring IoT projects through the Blynk platform. Community service was held on September 6, 2022, from 9.00 am to 14.00 pm. This activity was attended by 20 students from the Department of Computer Network Engineering, SMKS Taruna Persada Dumai City. The given SCL module consists of 5 parts. The first part focuses on the small group discussion learning model in the introduction of processors, actuators, and sensors. Then, in the second part, the students simulated the LED and ESP32 circuits using the wokwi.com simulator. The third part is followed by a case study model of the LED series and NodeMCU 8266. Students’ enthusiasm for independent learning makes this third part take a long time. So, the fourth part in the form of colorful light control role-plays in the form of LED control via Blynk, and the fifth part in the form of a discovery learning model for reading DHT11 sensor data did not have time to work on it. As a solution, the Community service team left two sets of learning modules for students to work on independently later. At the end of the lesson, feedback from students was collected and the results showed their satisfaction with the material provided, the way it was presented, the quality of the modules, and the suitability of the material. The students also hope to be included in other Community service programs with different materials.