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All Journal Journal Zetroem Jurnal Ilmiah Teknik Informatika dan Komunikasi JOSAR (Journal of Students Academic Research)
Rizki Dwi Romadhona
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Prototype of a Warehouse Shoe Lamp Automation System Using Motion Sensors Based on the Internet of Things (IoT) Pandu Mardya Wijaya; Abdi Pandu Kusuma; Rizki Dwi Romadhona
JOSAR (Journal of Students Academic Research) Vol 9 No 2 (2024): September
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/josar.v9i2.3888

Abstract

This research presents the design and development of a monitoring and control system for warehouse lighting using the SR501 passive infrared (PIR) motion sensor, which is based on the Internet of Things (IoT). The goal of this research is to improve the comfort, efficiency, and security of the Jeensneakers Shoe Warehouse in Kedawung, Nglegok, Blitar. By introducing IoT-based automatic lights accessed through a smartphone, users can monitor and control the lights remotely, making lighting usage more effective and efficient. The research employs a prototype design using ESP32 and PIR sensors, conducted through survey methods, observations, and interviews. The testing results show that the automatic lights can be controlled remotely using a smartphone, and the motion sensor can function as a security feature for the Jeensneakers shoe warehouse. The evaluation of the IoT-based automatic lighting system was considered feasible, with an 80% acceptance rate from experts, indicating a sufficient level of feasibility.
Implementasi IP Forwarding Dengan Menggunakan IP Public Pada Alita Komputer Kota Blitar Alviansyah, Alif; Sri Lestanti; Rizki Dwi Romadhona
ZETROEM Vol 6 No 1 (2024): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v6i1.3163

Abstract

Abstract - Alita Computer in Blitar is a company that specializes in computer service. According to a survey, the desired monitoring system for the company has not been realized because the data collection process and the format of reports processed by the administrators are not globally accessible. Therefore, customers are unable to view the status of processes via mobile devices on the internet.Thisresearch offers a solution to address this issue by establishing an online information web server accessible to customers through an external network. This web server will provide integrated monitoring with computer service data. The service provided involves utilizing IP forwarding with a public IP address, allowing the web server, which previously operated within a local network, to be accessed from external networks. In MikroTik devices, port forwarding is employed as a method to redirect data traffic from specific IP addresses and ports to other destination IP addresses and ports. Port forwarding using MikroTik is utilized to access servers or services in a local network from the internet.As a result of testing, the web server, initially located at IP address 192.168.100.100, was inaccessible to the public. However, after implementing IP forwarding with the public IP address 36.8.12.138, the web server became accessible even through external networks.
Perbandingan Performa Algoritma Support Vector Machine dan K-Nearest Neighbors terhadap Analisis Sentimen Aplikasi Perpustakaan Digital Ramadhan Bagus Adi Nugroho; Mukh Taofik Chulkamdi; Rizki Dwi Romadhona
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 3 (2025): November: Jurnal Ilmiah Teknik Informatika dan Komunikasi 
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i3.1522

Abstract

The increasing use of digital library applications in the era of information technology necessitates a systematic evaluation of user experience. Online user reviews contain valuable information that can be analyzed to measure service effectiveness. This study aims to identify user perceptions through sentiment analysis and compare the performance of the Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) classification algorithms. This applied research collects 6,000 reviews via web scraping from the Google Play Store, focusing on two applications: iPusnas and Gramedia Digital. The data processing begins with text preprocessing to clean the text data, followed by feature extraction using Term Frequency-Inverse Document Frequency (TF-IDF) to identify relevant features before classification with both algorithms. The performance of the algorithms is evaluated using a confusion matrix to measure accuracy based on the number of correct and incorrect predictions. The results show that the SVM algorithm achieves higher accuracy, with 77.78% for iPusnas and 79.34% for Gramedia Digital. In contrast, KNN only achieves 40.06% accuracy for iPusnas and 60.54% for Gramedia Digital. From these results, it can be concluded that SVM outperforms KNN in processing digital library application user reviews. This indicates that SVM is more effective in handling large and complex review data. Based on these findings, it is recommended that digital library application developers utilize SVM in sentiment analysis systems to enhance service quality and user experience. Future research may consider aspect-based approaches or a combination of algorithms to achieve more optimal results in sentiment analysis.
Co-Authors Abdi Pandu Kusuma Alviansyah, Alif Mukh Taofik Chulkamdi Pandu Mardya Wijaya Ramadhan Bagus Adi Nugroho Sri Lestanti