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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Bangkit Indonesia
Saputra, Aggry
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Enhanced Data Security Using 5x5 Hill Cipher with Modular 53 As Saidah, Muthiah; Saputra, Aggry; Zulkipli, Zulkipli
Jurnal Bangkit Indonesia Vol 13 No 2 (2024): Bulan Oktober 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i2.323

Abstract

This research presents an optimized approach to the Hill Cipher encryption and decryption algorithm using a 5x5 matrix and modular 53 arithmetic. The traditional Hill Cipher, a well-known symmetric key algorithm, typically utilizes smaller matrices and modular arithmetic, which may not provide sufficient security for contemporary applications. By expanding the key matrix to a 5x5 structure and adopting a larger modulus of 53, the complexity and security of the cipher are significantly enhanced. The study details the methodology for constructing and implementing the 5x5 key matrix, as well as the processes for encryption and decryption under the modular 53 system. The computational efficiency and security improvements achieved through this optimization are analyzed. Comparative assessments with the conventional Hill Cipher demonstrate that the enhanced approach offers superior resistance against cryptographic attacks while maintaining manageable computational requirements. The results of this research indicate that the proposed optimized Hill Cipher can serve as a robust encryption method suitable for securing sensitive data in various modern applications. This study contributes to the field of cryptography by providing a more secure and efficient variant of the classical Hill Cipher algorithm
Analisis Kepuasan Pengguna Pada SINTAK STT Indonesia Tanjung Pinang Menggunakan Pieces Framework Rohmaini, Rohmaini; Zulfachmi, Zulfachmi; As Saidah, Muthiah; Saputra, Aggry
Jurnal Bangkit Indonesia Vol 14 No 1 (2025): Bulan Maret 2025
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v14i1.433

Abstract

The SINTAK Reporting Information System at STT Indonesia Tanjung Pinang is a system used to record students' academic activity transcripts, which serve as a mandatory requirement for the final examination process, with a minimum score of 60 points. However, in its implementation, SINTAK still has several features that can be further developed to enhance user convenience. Additionally, an analysis of user satisfaction with this system has been conducted using the Pieces Framework. This study aims to analyze user satisfaction levels regarding SINTAK and identify features that need improvement. The research employs a qualitative approach with descriptive analysis and an inductive method. Data collection methods include observation, interviews, literature review, and questionnaire distribution using a purposive sampling technique involving 87 respondents who are system users. The results indicate that the six variables in the Pieces Framework received average scores reflecting user satisfaction: performance (3.75, SATISFIED category), information & data (3.67, SATISFIED category), economic (3.51, SATISFIED category), control & security (3.71, SATISFIED category), efficiency (3.87, SATISFIED category), and service (3.79, SATISFIED category). These findings suggest that while SINTAK has met user needs, there are opportunities for further development to improve the system's effectiveness and efficiency.
Analisis Sentimen Pengguna X Terhadap Kebocoran Data Pribadi Menggunakan Algoritma Naïve Bayes Classifier Stefanni, Stefanni; Zulfachmi, Zulfachmi; Zulkipli, Zulkipli; Saputra, Aggry
Jurnal Bangkit Indonesia Vol 14 No 1 (2025): Bulan Maret 2025
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v14i1.434

Abstract

Personal data breaches in Indonesia have become increasingly prevalent, posing significant risks to both individuals and businesses. With the rapid advancement of information technology, this issue has sparked intense discussions on social media, particularly on the X (Twitter) platform. This study aims to analyze user sentiment on X regarding personal data breaches by classifying opinions into positive, negative, and neutral sentiment categories. Additionally, this research evaluates the performance of the classification model using a confusion matrix to measure accuracy, precision, recall, and f1-score. The method used in this study is the Naïve Bayes Classifier, with 70% training data (433 data points) and 30% testing data (186 data points). The data was obtained through web crawling and preprocessed before performing sentiment classification. The results indicate that negative sentiment dominates with 43.54%, followed by positive sentiment at 28.50%, and neutral sentiment at 27.96%. Model evaluation achieved an accuracy of 98.92%, with negative precision 100%, neutral precision 100%, and positive precision 96.30%. Meanwhile, recall for both positive and negative sentiment reached 100%, while recall for neutral sentiment was 96.23%. The f1-score for negative, neutral, and positive sentiment was 1.0, 0.988, and 0.981, respectively. These findings demonstrate that the Naïve Bayes Classifier performs exceptionally well in classifying sentiment related to personal data breaches. The dominance of negative sentiment in the classification results reflects high public concern over this issue, highlighting the urgent need for enhanced data security measures and privacy protection in Indonesia.
Development of IoT-based Automatic Water Drainage System on Fishing Boat to Improve Operational Efficiency Zulfachmi, Zulfachmi; Zulkipli, Zulkipli; Rahayu, Vita; Saputra, Aggry; As Saidah, Muthiah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6222

Abstract

The profession of fishermen requires a reliable system to remove stagnant water from fishing boats, as manual drainage is time-consuming and inefficient. This study proposes an IoT-based automatic water drainage system without using an inverter or ultrasonic sensor, offering a cost-effective alternative. The system utilizes a water level sensor and a DC water pump, controlled via a smartphone application. The research model used is the Research and Development (R&D) model, through several stages, namely potential and problems, initial data needs, prototype creation, prototype validation, prototype revision, validation, implementation. Problems occur at the prototype stage, problems that must be revised include aspects of wiring, Power Suitability, Water Level Sensor Test, and the configuration of the relay used. The IOT-based automatic water drainage system can function based on the results of white-box testing including Hardware Implementation, Software Implementation, Implementation of Application Usage, and Automatic Drainage System Testing. This is indicated by the results of the Liquid Water Level Sensor Functionality test, DC Water Pump Functionality Test, Solar Panel and Battery Functionality Test, and IOT Functionality Test. IOT-based automatic water discharge systems on fishing boats are more efficient and cost-effective in the long run, although diesel engines offer more reliability under adverse weather conditions or in places with limited access to sunlight.
Systematic literature review of learning model using augmented reality for generation Z in higher education Zulfachmi, Zulfachmi; Rahim, Normala; Rizhan, Wan; Rahayu, Puji; Saputra, Aggry
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp1109-1120

Abstract

Higher education is evolving with innovations aimed at enhancing the quality of learning, and one prominent innovation is the integration of augmented reality (AR) technology into the learning process. AR merges real-world and virtual elements in real-time, creating interactive and immersive educational experiences. This technology supports the display and interaction with virtual objects, enhancing engagement and comprehension among students. However, effective integration of AR in higher education faces challenges such as limited technological infrastructure, the need for skilled lecturers, and the adaptation of teaching methods to suit generation Z's learning preferences. Despite their technological proficiency, many educational institutions struggle to optimally implement innovations like AR. This systematic literature review aims to explore and identify an AR-based learning model suitable for generation Z in higher education. Findings suggest that AR technology can significantly enhance learning by offering engaging visualizations and interactive experiences, aligning well with generation Z's characteristics and learning styles. Effective AR implementation requires suitable platforms, such as mobile, desktop, wearable, and projection platforms, each offering unique benefits. By designing AR learning models that cater to generation Z, educational institutions can improve learning outcomes and experiences.
Co-Authors AS SAIDAH, MUTHIAH Puji Rahayu Rahayu, Vita Rahim, Normala Rizhan, Wan Rohmaini, Rohmaini Stefanni, Stefanni Zulfachmi, Zulfachmi Zulfachmi, Zulfachmi Zulkipli Zulkipli