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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Bangkit Indonesia Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Saputra, Aggry
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Social Sciences Other

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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.
Peningkatan keterampilan digital melalui aplikasi perkantoran dalam mewujudkan kemandirian ekonomi Saidah, Muthiah As; Huda, Dwi Nurul; Zulkipli; Saputra, Aggry; Zufachmi
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 8 No 3 (2025)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v8i3.24133

Abstract

Pelatihan keterampilan digital menjadi upaya strategis untuk meningkatkan kapasitas remaja dalam menghadapi tantangan sosial ekonomi. Program ini bertujuan membekali peserta Forum Remaja PKBI Kepulauan Riau dengan keterampilan administrasi perkantoran berbasis aplikasi digital, khususnya Microsoft Office dan Canva. Metode pelaksanaan mencakup sosialisasi, pelatihan, pendampingan, penerapan teknologi, serta evaluasi melalui pre-test, post-test, dan kuesioner kepuasan. Hasil pre-test dan post-test menunjukkan peningkatan signifikan pada seluruh indikator capaian. Peningkatan keterampilan tercatat pada pelatihan dasar-dasar komputer dari skor sebelumnya 39 menjadi 92, penggunaan aplikasi Microsoft Word dari sebelumnya 32 menjadi 91, penggunaan Microsoft Excel dan Word sebelumnya 24 menjadi 90, serta desain CV dan surat lamaran profesional dengan Canva sebelumnya 38 menjadi 93. Nilai akhir rata-rata untuk seluruh materi melampaui target 90, dengan peningkatan tertinggi pada materi mail merge di Microsoft Word. Selain itu, kepuasan peserta terhadap materi, metode, dan fasilitas pelatihan mencapai 92%. Temuan ini menegaskan efektivitas pelatihan aplikasi perkantoran dalam mendorong kemandirian ekonomi remaja. Program diharapkan berlanjut melalui pendampingan berkesinambungan dan keterlibatan aktif mitra, sehingga peserta mampu menjadi agen pengetahuan di komunitasnya.
Optimalisasi Pengelolaan Inventaris Melalui Aplikasi Berbasis Website pada SMK Negeri 1 Bintan Timur Saputra, Aggry; Saidah, Muthiah As; Setiawan, Hendi
Prosiding Vol 6 (2024): SNISTEK
Publisher : LPPM Universitas Putera Batam

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

Abstract

SMK Negeri 1 Bintan Timur is a vocational high school under the auspices of the Bintan District Education Office. The process of recording inventory items for facilities, infrastructure, and books at SMK Negeri 1 Bintan Timur is done manually by recording them in books. This manual recording process has resulted in several problems, such as lengthy inventory data retrieval processes and the risk of lost records. The system proposed in this study can record the borrowing and returning of inventory items for facilities, infrastructure, and books in the library. This system can assist in the inventory data recording process to minimize the risk of recording errors and data loss
Analisis Komparasi Cybercrime Web Defacement dan Darknet Exposure di Indonesia (Studi Kasus : Lanskap Keamanan Siber di Indonesia Tahun 2022 dan Tahun 2023) Saidah, Muthiah As; Saputra, Aggry; Setiawan, Hendi
Prosiding Vol 6 (2024): SNISTEK
Publisher : LPPM Universitas Putera Batam

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

Abstract

This study aims to analyze the comparison of cyber incidents involving Web Defacement and Darknet Exposure in Indonesia for the years 2022 and 2023, and to evaluate the effectiveness of the mitigation recommendations provided. The method used in this study is the Wilcoxon statistical test to determine significant differences between the incident rates in those two years. The Wilcoxon test results indicate that the Asymp. Sig. (2-tailed) value is 0.008, which, in the case of a one-tailed test, results in a probability of 0.004. This value indicates a significant difference between the Darknet Exposure incident rates in 2022 and 2023. The analysis also suggests that the mitigation recommendations implemented in 2022 were not effective in reducing Darknet Exposure incidents in 2023, as evidenced by an increase in the number of cases. Conversely, for Web Defacement incidents, the Wilcoxon test results show the same Asymp. Sig. (2-tailed) value of 0.008, resulting in a probability of 0.004. This indicates a significant difference between the Web Defacement incident rates in 2022 and 2023. Based on the test results, the mitigation recommendations proved effective in reducing Web Defacement incidents, with a decrease in the number of cases in 2023. From these findings, it can be concluded that cyber incident handling strategies need to be adjusted and strengthened, especially in dealing with Darknet Exposure incidents. Continuous monitoring and evaluation are also crucial for improving the effectiveness of cyber incident management in Indonesia.
Co-Authors AS SAIDAH, MUTHIAH Dwi Nurul Huda Puji Rahayu Rahayu, Vita Rahim, Normala Rizhan, Wan Rohmaini, Rohmaini Saidah, Muthiah As Setiawan, Hendi Stefanni, Stefanni Zufachmi Zulfachmi, Zulfachmi Zulfachmi, Zulfachmi Zulkipli Zulkipli Zulkipli Zulkipli