Article Per Year (5 Year)
p-Index From 2021 - 2026
6.143
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Semantik Jurnal Buana Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SemanTIK : Teknik Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Sains dan Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Technomedia Journal Jiko (Jurnal Informatika dan komputer) Indonesian Journal of Computing and Modeling International Journal of Natural Science and Engineering JURTEKSI Jurnal Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JUSIM (Jurnal Sistem Informasi Musirawas) Building of Informatics, Technology and Science Progresif: Jurnal Ilmiah Komputer Journal of Information Systems and Informatics JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Aiti: Jurnal Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknik Informatika (JUTIF) Journal of Information Technology Ampera Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi International Journal Software Engineering and Computer Science (IJSECS) INOVTEK Polbeng - Seri Informatika
Indrastanti Ratna Widiasari
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Other

Published : 52 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 52 Documents
Search

 2   3   4   5   6 
Early Warning System for Potential Fires in the Dry Season Based on the Internet of Things Maitimu, Excel Barthel; Widiasari, Indrastanti Ratna
International Journal of Natural Science and Engineering Vol. 6 No. 2 (2022): Juli
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (385.937 KB) | DOI: 10.23887/ijnse.v6i2.38266

Abstract

Almost every year, forest and land fires occur in Indonesia, the impact of which is felt by the surrounding community and neighboring countries. Such as the recent fires in East Kotawaringin and Katingan, Central Kalimantan. The land affected by the fire is believed to be a concession belonging to a Malaysian company. According to the Ministry of Environment and Forestry, the area of forest and land fires is calculated based on an analysis of Landsat 8 OLI/TIRS satellite imagery, which is compared (overlay) with data on the distribution of hotspots. In this research, the Internet of Things (IoT) can be useful in preventing forest fires that usually occur on the slopes of Merbabu during the dry season. IoT sensor technology can detect air humidity, temperature, and wind speed parameters for fires in the dry season. This study aims to warn of potential forest and land fires in Mount Merbabu by providing notifications from IoT sensors. From the sensor testing that has been done, it can be seen that the sensor can provide information accurately and in real-time. The tests were carried out in three places: at the foot of Mount Merbabu, the SWCU FTI Peak, and the rice fields. The different results in three places with different vegetation indices indicate that the design of a fire potential warning system based on the Internet of Things in the dry season (July – September) can be used in areas with a low vegetation index on the slopes of Mount Merbabu, the majority of which are dry and easy grasslands burnt.
Analysis of WAN Network Reliability Based on Response Time and Downtime at the Faculty of Information Technology UKSW Kevin; Indrastanti R. Widiasari
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/7bdz0a54

Abstract

Wide Area Network reliability is crucial in supporting academic and administrative activities in higher education institutions. This study aims to evaluate the reliability of the WAN network at the Faculty of Information Technology, UKSW, using response time and Downtime as the main indicators. The research employed a quantitative descriptive approach by utilizing PRTG Network Monitor, Ping, and Zabbix to measure network performance. The results showed that the average response time was 104.31 ms, with a maximum response time of 614.0 ms. The total Downtime recorded was 22 hours and 42 minutes, with a network uptime percentage of 80.16%. These findings indicate that while the network remains operational, optimization is needed to reduce latency fluctuations and minimize Downtime. Recommendations include enhancing network infrastructure and implementing proactive monitoring strategies.
Implementasi Proxy dan Snort Sebagai Gateway Antivirus Sebayang, Andreas; Widiasari, Indrastanti Ratna
MEANS (Media Informasi Analisa dan Sistem) Volume 6 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (781.27 KB) | DOI: 10.54367/means.v6i1.1232

Abstract

Technology and internet networks are two things that are always related, because in today's era the internet has become a much-needed medium for learning, communicating, exchanging data, and even playing. With the activity of using the internet network, a problem will arise, namely network security. Network security is a very important aspect as a defense in a network, to minimize the risk of data theft and unwanted access in an internet network. The purpose of this study is to implement the control and security of internet use in an agency with minimal costs. namely using the Linux operating system Ubuntu Server 18.04, Proxy Server, and Snort. The result of the system that has been created has a function to perform caching so that it can save bandwidth and can function as filtering content to minimize unwanted things on the network. In addition, the system created is very helpful for network admins to monitor the network in real-time, even can also enforce rules to protect the network.
PERFORMANCE TESTING OF ACADEMIC WEBSITE USING LOAD TESTING METHOD SUPPORTED BY APACHE JMETERTM AT XYZ UNIVERSITY Raweyai, Soni Sampari; Widiasari, Indrastanti Ratna
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.3.1796

Abstract

This study aims to evaluate the performance quality of the academic website of University XYZ through load testing using the Load Testing Method supported by Apache JMeterTM. The main issue addressed is how the website's performance can be measured and assessed in the context of normal, peak, and stress usage. The research methodology involves a qualitative approach to understand the meaning, interpretation, and context of the phenomenon, coupled with a quantitative approach to measure, analyze, and organize data in numerical or statistical forms. The research findings indicate that in the basic testing scenario, the website successfully met the test criteria with an average response time of approximately 0.855 seconds for GET requests, below the established maximum limit. POST requests required an average time of around 0.273 seconds with no response failures. In the peak testing scenario simulating high traffic conditions, the website remained optimal with average response times for both GET and POST requests below the 3-second limit, without response failures. Stress testing scenarios demonstrated the efficient operation of the website, even though the average response time for GET requests increased to approximately 2.564 seconds.The test results affirm that the University XYZ website functions well under various service usage conditions, including heavy loads. The overall average response time for GET requests across all scenarios is approximately 1.558 seconds, while POST requests have an average response time of around 0.355 seconds. Special attention is given to the impact of the number of threads or users and the number of students on the website's performance.
Perancangan Aplikasi Obyek Wisata Berbasis Mobile di Likupang Minahasa Utara Najoan, Patrick; Widiasari, Indrastanti
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 4 No. 1 (2024): EduTIK : Februari 2024
Publisher : Jurusan PTIK Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/edutik.v4i1.9401

Abstract

ABSTRAK Penelitian ini bertujuan untuk merancang aplikasi mobile yang menyediakan panduan komprehensif tentang destinasi wisata di Likupang, Minahasa Utara, yang telah diakui sebagai salah satu dari lima destinasi super prioritas di Indonesia oleh Kementerian Pariwisata dan Ekonomi Kreatif. Aplikasi ini bertujuan untuk memberikan informasi akurat dan berguna mengenai objek wisata teratas di Likupang, termasuk ulasan, peringkat pengunjung, dan navigasi terintegrasi melalui peta interaktif yang terhubung dengan Google Maps. Penelitian ini menggunakan metode waterfall yang meliputi tahap analisis kebutuhan, perancangan, implementasi, dan pengujian. Hasil penelitian menunjukkan bahwa aplikasi yang dirancang mampu memberikan kemudahan bagi wisatawan dalam merencanakan perjalanan mereka, meningkatkan pengalaman wisata, serta berpotensi memberikan dampak positif bagi perekonomian lokal dan kelestarian lingkungan. Kajian terhadap penelitian terdahulu menunjukkan pentingnya penggunaan teknologi digital dalam memaksimalkan potensi pariwisata dan mengoptimalkan pengalaman pengguna. Hasil penelitian menunjukan bahwa pengguna menyatakan puas terhadap aplikasi “Manjo ke Likupang” dengan skor skala likert sebesar 4.01. Penelitian ini membuktikan bahwa masyarakat Indonesia membutuhkan aplikasi untuk melihat rating destinasi wisata yang ingin dituju. ABSTRACT This study aims to design a mobile application that provides a comprehensive guide to tourist destinations in Likupang, North Minahasa, which has been recognized as one of the five super-priority destinations in Indonesia by the Ministry of Tourism and Creative Economy. The application aims to provide accurate and useful information about the top tourist attractions in Likupang, including reviews, visitor ratings, and integrated navigation through interactive maps connected to Google Maps. This study employs the waterfall method, which includes the stages of requirement analysis, design, implementation, and testing. The results indicate that the designed application can facilitate tourists in planning their trips, enhance their travel experience, and potentially have a positive impact on the local economy and environmental sustainability. A review of previous studies highlights the importance of digital technology in maximizing tourism potential and optimizing user experience. The study's findings show that users are satisfied with the "Manjo ke Likupang" application, with a Likert scale score of 4.01. This research demonstrates that Indonesians need an application to view ratings of the tourist destinations they intend to visit.
IOT BASED SMART HOME SIMULATION (INTERNET OF THINGS) Ardianto, Yeheskiel Hency; Widiasari, Indrastanti Ratna
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 4 (2024): September 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i4.3361

Abstract

Abstract: The development of Internet of Things (IoT) technology has significantly impacted life, particularly in creating more efficient and secure smart homes. Smart homes integrate various electronic devices to enhance comfort and energy efficiency. However, cost, integration complexity, and security issues remain. This study will simulate an IoT-based smart home system to analyse and evaluate device performance before real-world implementation. The simulation method involves testing connectivity and evaluating delay and packet loss using the ping method on each device. Results show the highest delay on CCTV devices at 41.8 ms and the lowest on motion detector 2 at 32.8 ms, with 0% packet loss. According to TIPHON standards, the network is rated excellent with an index of 4. The designed smart home system demonstrates optimal performance and is feasible for implementation but requires further development in configuration using AI and machine learning technologies.            Keywords: internet of things; simulation; smart home; testing  Abstrak: Perkembangan teknologi Internet of Things (IoT) telah membawa perubahan signifikan dalam kehidupan, terutama dalam pengembangan rumah pintar (smart home) yang lebih efisien dan aman. Smart home mengintegrasikan berbagai perangkat elektronik untuk meningkatkan kenyamanan dan efisiensi energi. Meskipun demikian, tantangan seperti biaya, kompleksitas integrasi, dan isu keamanan masih ada. Penelitian ini bertujuan untuk mensimulasikan sistem smart home berbasis IoT guna menganalisis dan mengevaluasi kinerja perangkat sebelum implementasi nyata. Metode simulasi yang digunakan melibatkan pengujian konektivitas dan evaluasi delay serta packet loss dengan metode ping pada setiap perangkat. Hasil menunjukkan delay tertinggi pada perangkat CCTV sebesar 41.8 ms dan terendah pada motion detector 2 sebesar 32.8 ms, dengan packet loss 0%. Berdasarkan standar TIPHON, jaringan dinilai sangat baik dengan indeks 4. Sistem smart home yang dirancang menunjukkan kinerja optimal dan layak diimplementasikan, namun masih memerlukan pengembangan lebih lanjut dalam konfigurasi menggunakan teknologi AI dan machine learning.  Keywords: internet of things; pengujian; simulasi; smart home
The Use of PFSense and Suricata as a Network Security Attack Detection and Prevention Tool on Web servers Sufardy, Devander Benaryanta; Widiasari, Indrastanti Ratna
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/shxy2045

Abstract

This research explores the effectiveness of PFSense and Suricata integration in detecting and preventing network security attacks on web servers. The experimental method was conducted by testing the performance of these two open-source tools in the face of four types of attacks: Ping of Death, SYN Flood, SQL Injection, and Brute Force Attack on SSH. The tests were conducted in an environment with hardware specifications such as [specify specifications, e.g. CPU, RAM, and device type], and software including [specify operating system and version of PFSense and Suricata]. The results showed that Suricata was able to detect threats with an accuracy rate of 92% and successfully blocked 85% of the attacks. The average response time of the system to detect attacks was 250 ms. The integration between PFSense and Suricata proved effective in identifying attack patterns and preventing further potential damage. With proper configuration, this combination not only keeps the web server network secure, but also provides a quick response to complex cyber threats. This research contributes to the development of more reliable network security solutions by demonstrating how the integration of PFSense and Suricata can be effectively used to protect web servers. The findings provide practical guidance for practitioners and academics in implementing more innovative approaches to enhance network security in the digital era.
Implementation of an IoT Based Billing System to Optimize Management of Billiard Table Usage Rezky Kristian Bangun; Indrastanti Ratna Widiasari
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/v0kqfm37

Abstract

This research develops an IoT-based billing system for managing billiard table usage, aimed at addressing various issues arising from the use of manual systems. Currently, many billiard table rental businesses still rely on manual methods for transaction recording and lamp control, which increases the risk of rate manipulation, inaccurate transaction reports, and inefficient resource management. The manual process also adds to the workload of operators, especially when billiard tables are located far apart. The developed system utilizes Bluetooth sensors and a web app to automatically control the billiard table lamps, thereby reducing manipulation and improving operational efficiency. Testing shows that the system accurately calculates the usage fees and controls the lamp status based on commands from the web server. As a result, the system not only enhances the accuracy of cost calculation and the reliability of billiard table management but also provides a better user experience. Thus, the implementation of this IoT-based billing system offers significant benefits in optimizing billiard center management.
Design and Implementation of Load Balancing for Quality of Service Improvement Widiasari, Indrastanti Ratna; Efendi, Rissal
Jurnal Buana Informatika Vol. 15 No. 2 (2024): Jurnal Buana Informatika, Volume 15, Nomor 02, Oktober 2024
Publisher : Universitas Atma Jaya Yogyakarta

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

Abstract

At the Information Technology Faculty, Satya Wacana Christian University, load balancing systems are implemented where the web server serves 500 users. This is to prevent server overload or downtime during simultaneous access to the web server. Test results indicate significant differences in CPU usage, request time, and bandwidth between load balancing and single servers. The use of load balancing is more effective than relying on a single server, as evidenced by test results. The CPU usage with load balancing is significantly lower, with a difference of up to 45% compared to a single server. The request time with load balancing is also slightly better, with only 21.5ms compared to 42ms for a single server. However, the difference in bandwidth between load balancing and a single server is not very significant. The highest bandwidth recorded on a single server is 182kb/s, while with load balancing it reaches 165kb/s.
Optimizing a Hybrid Deep Learning Model for DDoS Detection Using DBSCAN and PSO Widiasari, Indrastanti Ratna; Efendi, Rissal
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 6 (2025): December 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i6.6383

Abstract

This study proposes a hybrid deep learning approach that combines Gated Recurrent Units (GRUs) and Convolutional Neural Networks (CNNs) for Distributed Denial of Service (DDoS) cyberattack detection. The model, called DBSCAN–GRU–CNN, uses density-based clustering (DBSCAN) to select relevant features and reduce execution time. The dataset for this study was obtained from live penetration testing, where a series of simulated attacks was performed on a monitored network. To evaluate the performance of the proposed model, several comparison models were used, including DBSCAN–GRU–CNN (Single Hidden Layer), DBSCAN–GRU–CNN (Double Hidden Layers), DBSCAN–GRU–CNN (With Regularization), DBSCAN–GRU–CNN–PSO, GRU–CNN, GRU–CNN (With Hyperparameter Tuning), and Random Forest (Tuned Model). Variations of the model tested were made by adding hidden layers, regularization, optimization with Particle Swarm Optimization (PSO), and hyperparameter tuning. Experimental results show that the DBSCAN–GRU–CNN–PSO model provided optimal performance with a 99.3% accuracy, a 99% precision, a 98.9% recall, and a 99% F1-score, while the model with hyperparameter tuning achieved a 99% accuracy. By adding PSO, the model achieved optimized weights, better generalization, and excellent accuracy in DDoS detection.
Co-Authors Aditya Indra Cahya Amanda Angreyni Regal Ardianto, Yeheskiel Hency Arnando, Kelvin Arya Pradana Bagus Pramono Bayu Edhi Setyawan Billy Hamsen Cahyaningrum, Yuliana Cahyaningtyas, Christian Christopher, William Cristianto, Denil Dian W Chandra Fra Arsandy Kusuma Sejati Fransiskus Simson Irwan Sembiring Jonathan Liando Kendek Allo, Alvin Kevin Lala, Zefanya Loudewieq Gabriel Maay, Buyung Herfandy Maitimu, Excel Barthel Manuputty, Yandri Y Marpaung, Kristian Vieri Merryana Lestari Najoan, Patrick Nikolaus Toni Prahara, Imanuel Noval Amanda Prasetia, Rega Dhiwastu Rapawuli Eko Putro Raweyai, Soni Sampari Rezky Kristian Bangun Rissal Efendi Rissal Efendi Rissal Effendi Riyanto, Muhamad Rizal Dwi Pratomo safry pasau tangdisosang Sebayang, Andreas Setiawan, Muhamad Avif Simarmata, Hotman Samuel Sufardy, Devander Benaryanta Suwijo Danu Prasetyo T. Arie Setiawan Prasida Teguh Wahyono Theopillus J. H. Wellem Theovan Gracia Stefana Putra Ulfa Septilia Permatasari Wibowo, Gading Haryono Wisnu Widi Anggoro Yessica Nataliani Yoel Chandra Eka Paksi Yonatan Surya Kristama