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Sistem Aplikasi Air Bersih Berbasis Web: Studi Kasus BUMDes Karya Mandiri Desa Cijeungjing Al Ghifari*, muhammadMuhammad Alvin; Firmansyah, Esa; Helmiawan, Muhammad Agreindra
Jurnal Informatika, Multimedia dan Teknik Vol 1 No 2 (2025): Januari-Juni 2025
Publisher : Yayasan Pendidikan Tanggui Baimbaian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71456/jimt.v1i2.1143

Abstract

Perkembangan teknologi digital telah menjadi kebutuhan dalam sektor layanan publik, termasuk pengelolaan air bersih di Desa Cijeungjing, sistem pengelolaan air bersih masih manual, sehingga tidak efisien dan rentan kesalahan. Badan Usaha Milik Desa Karya Mandiri, yang mengelola layanan air di desa tersebut, membutuhkan modernisasi sistem pembayaran. Penelitian ini bertujuan merancang sistem aplikasi manajemen air bersih berbasis. Sistem ini memungkinkan pencatatan transaksi secara real-time dan mempermudah masyarakat melakukan pembayaran. Proses pengembangan sistem melibatkan pengumpulan kebutuhan, pembangunan prototype, evaluasi, pengkodean, pengujian, dan implementasi. Sistem ini diharapkan mampu meningkatkan efisiensi, akurasi pencatatan, serta kemudahan untuk pengoprasionalan Badan Usaha Milik Desa. Dengan fokus pada kebutuhan lokal, aplikasi ini tidak melibatkan pembayaran online, tetapi tetap memberikan manfaat besar bagi operasional Badan Usaha Milik Desa dan masyarakat.
Perancangan UI Website SDN Cijambe 1 Menggunakan Metode User Centered Design (UCD) Setiawan, Hilal Naufal; Helmiawan, Muhammad Agreindra; Firmansyah, Esa
Jurnal Informatika, Multimedia dan Teknik Vol 1 No 2 (2025): Januari-Juni 2025
Publisher : Yayasan Pendidikan Tanggui Baimbaian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71456/jimt.v1i2.1148

Abstract

Penelitian ini berfokus pada perancangan User Interface Web Profil SDN Cijambe 1 menggunakan metode User Centered Design (UCD). Website ini bertujuan untuk memberikan informasi kepada siswa, wali murid, maupun calon siswa. Metode UCD membantu meminimalkan risiko kesalahan desain karena didasarkan pada kebutuhan nyata pengguna. Perancangan UI Web Profil Sekolah Dasar Negeri Cijambe 1 telah berhasil dirancang mengikuti tahapan perancangan metode User Centered Design sehingga menghasilkan aplikasi yang mudah digunakan oleh pengguna.
Analisi Perbandingan Kinerja Algoritma AES-128 GCM dan AES-256 GCM Pada Protokol TLS 1.2 Di Server Ngnix Muhammad Arifin Ilham; Dody Herdiana; M.Agreindra Helmiawan; Asep Saeppani
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.743

Abstract

While TLS 1.3 is the latest standard, TLS 1.2 remains widely implemented in many cloud infrastructures. The selection of cipher suites in TLS 1.2, particularly between AES-128-GCM and AES-256-GCM, presents a trade-off between cryptographic strength and system performance. This research aims to analyze the performance comparison of these two algorithms on an Nginx server to determine the optimal configuration for cloud storage services. The study uses a quantitative experimental method by benchmarking two scenarios: (A) Strict (AES-256-GCM), and (B) Balanced (AES-128-GCM). Performance metrics measured include Requests Per Second (RPS), Latency, and Throughput. The results show that handshake performance (RPS and Latency) is nearly identical across all scenarios. However, in large file transfer tests, the AES-128-GCM algorithm (Scenario B) achieved a throughput of 32.4 MB/s, which is 12.5% faster than AES-256-GCM (28.8 MB/s). This study concludes that AES-128-GCM provides the best balance of security and efficiency for data-intensive environments.
Analisi Perbandingan Kinerja Algoritma AES-128 GCM dan AES-256 GCM Pada Protokol TLS 1.2 Di Server Ngnix Muhammad Arifin Ilham; Dody Herdiana; M.Agreindra Helmiawan; Asep Saeppani
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.743

Abstract

While TLS 1.3 is the latest standard, TLS 1.2 remains widely implemented in many cloud infrastructures. The selection of cipher suites in TLS 1.2, particularly between AES-128-GCM and AES-256-GCM, presents a trade-off between cryptographic strength and system performance. This research aims to analyze the performance comparison of these two algorithms on an Nginx server to determine the optimal configuration for cloud storage services. The study uses a quantitative experimental method by benchmarking two scenarios: (A) Strict (AES-256-GCM), and (B) Balanced (AES-128-GCM). Performance metrics measured include Requests Per Second (RPS), Latency, and Throughput. The results show that handshake performance (RPS and Latency) is nearly identical across all scenarios. However, in large file transfer tests, the AES-128-GCM algorithm (Scenario B) achieved a throughput of 32.4 MB/s, which is 12.5% faster than AES-256-GCM (28.8 MB/s). This study concludes that AES-128-GCM provides the best balance of security and efficiency for data-intensive environments.
Analisis Biomekanik Teknik Smash Sepak Takraw Menggunakan Analisis Gerak Berbasis Video Dadang Budi Hermawan; Muhammad Agreindra Helmaiwan; Yanyan Sofiyan
Indonesian Journal of Physical Education and Sport Science Vol 6 No 2 (2026): June: Indonesian Journal of Physical Education and Sport Science
Publisher : Indonesian Journal of Physical Education and Sport Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52188/ijpess.v6i2.1958

Abstract

Study Purpose. The smash technique is one of the most important offensive skills in sepak takraw and plays a decisive role in scoring points. Effective smash execution requires optimal coordination of the lower limbs and trunk, which can be examined through biomechanical analysis. This study aimed to analyse the biomechanical characteristics of the sepak takraw smash technique using video-based motion analysis. Material and Methods. This study employed a descriptive quantitative research design. The participants were 15 male students from the Physical Education, Health, and Recreation (PJKR) study program, aged 18–22 years, who actively participated in sepak takraw training. Smash movements were recorded with a smartphone camera that supports slow motion. Video-based motion analysis software was used to measure biomechanical variables, including knee, hip, and ankle joint angles; kicking-leg swing velocity; ball contact height; and trunk inclination angle. Descriptive statistics were used to calculate means and standard deviations for each variable. Result. The results showed that participants performed the smash technique with a mean knee angle of 158.4° ± 5.2° and a hip angle of 142.1° ± 6.3° at the moment of ball contact. The kicking-leg swing velocity reached an average of 18.6 ± 2.4 m/s, while the ball contact height was recorded at a mean of 2.15 ± 0.12 meters. Additionally, the trunk inclination angle showed an average of 12.5° ± 3.1°, demonstrating a forward body posture that contributes to balance. Conclusion. Video-based motion analysis is an effective and practical method for evaluating the biomechanical characteristics of the sepak takraw smash technique. The findings provide useful information for coaches to improve smash performance and develop training programs based on biomechanical principles.
Public Sentiment Toward Rupiah Redenomination on Social Media X Agung Febrian; Dody Herdiana; M. Agreindra Helmiawan
JASMINE: Journal of Intelligent Systems and Machine Learning Vol. 1 No. 1 (2026)
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jasmine.v1i1.10121

Abstract

This study examines public sentiment toward the proposed Indonesian Rupiah redenomination policy using data collected from Social Media X. The research applies a structured computational sentiment analysis pipeline, beginning with automatic sentiment labeling using a transformer-based language model, followed by classification using a Support Vector Machine with Term Frequency–Inverse Document Frequency feature representation. The dataset was collected over a one-day period from 7 November 2025 to 8 November 2025 to capture immediate public reactions to the policy discourse. Experimental results show that the classification model achieved an accuracy of 0.68 with balanced classification performance. Rather than aiming to optimize predictive accuracy, this study focuses on identifying general sentiment tendencies and patterns of public opinion regarding currency redenomination. The findings indicate that negative sentiment dominates the discourse, reflecting public concern and hesitation toward the policy, while a substantial proportion of neutral sentiment suggests ongoing evaluation and uncertainty among users. These results highlight the complexity of public responses to monetary policy communication and demonstrate the potential of social media analysis to provide an indicative overview of public sentiment in the digital public sphere. The study also acknowledges limitations related to automatic labeling and the inherent ambiguity of social media language, emphasizing that the findings should be interpreted as exploratory insights rather than definitive conclusions.
Evaluation of Machine Learning Algorithms for Predicting Phishing Attacks in Higher Education Environments: An Experimental Framework for Enhancing Cybersecurity in Academic Institutions Akmal Muhammad Poetra; Dody Herdiana; Muhammad Agreindra Helmiawan
JASMINE: Journal of Intelligent Systems and Machine Learning 2026: Articles in Press
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jasmine.vi.10178

Abstract

This study evaluates the performance of several machine learning algorithms Logistic Regression, Support Vector Machine, Random Forest, and XGBoost in predicting phishing attacks within higher education environments. Due to the limited availability of anonymized institutional datasets, the research employs a conceptual experiment design and simulation-based approach that mirrors the characteristics of phishing incidents commonly encountered by academic users. The simulated dataset includes URL-based indicators, HTML features, email text elements, and behavioral metadata. The experimental protocol covers synthetic data generation, domain-specific feature engineering, stratified k-fold cross-validation, hyperparameter tuning via grid search, and performance evaluation using accuracy, precision, recall, F1-score, and ROC/AUC. The simulation results indicate that ensemble-based models (Random Forest and XGBoost) outperform linear and kernel-based models, especially in scenarios with class imbalance typical of campus environments. The discussion highlights implications for real-world campus cybersecurity operations, limitations of conceptual simulations, and future research needs such as real-world validation and the integration of user behavior features. The main contribution is a complete experimental framework that can be executed with real institutional datasets, providing guidance for model selection and deployment in higher education cybersecurity systems.
Analisis Sentimen Ulasan Google Play pada Aplikasi Tahu Sumedang Menggunakan Lexicon-Based Khairil Sidik; Dody Herdiana; M. Agreindra Helmiawan; Asep Saeppani
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No2.pp356-361

Abstract

This study examines user perceptions of the Tahu Sumedang application based on reviews submitted on the Google Play Store. The purpose of this research is to identify user sentiment and understand the aspects that influence positive and negative evaluations of the application. The lexicon-based sentiment analysis method is used to classify each review into sentiment categories through a dictionary of words with positive and negative polarity. The results show variations in user sentiment that reflect satisfaction with certain features and concerns about technical performance, navigation, and application stability. The findings highlight several aspects that require improvement to optimize the quality of digital public services. The conclusion of this study emphasizes the importance of user feedback as an evaluation basis for developing more responsive and efficient public service applications.
Quantitative Analysis of the Key Factors Driving Cybersecurity Awareness Among Information Systems Users Helmiawan, Muhammad Agreindra; Firmansyah, Esa; Herdiana, Dody; Akbar, Yopi Hidayatul; Subiyakto, A’ang; Rahman, Titik Khawa Abdul
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4861

Abstract

Cybersecurity threats are increasingly complex and widespread, posing significant risks to individuals and organizations. However, many studies tend to address the technological or behavioral aspects separately. The study uses a survey-based quantitative approach using PLS-SEM to analyze key factors that influence cybersecurity awareness, including demographics, training, psychological bias, and organizational culture. The findings suggest that several constructs-such as threat awareness, perceived risk, and education-significantly predict cybersecurity awareness and behaviour. Notably, the model yields an R² value of up to 0.703 with a strong path significance (p < 0.05), which underscores the robustness of the relationship. This study offers an integrated perspective on cybersecurity by bridging the psychological, educational, and organizational dimensions. It highlights cybersecurity awareness as a mediating construct that links upstream factors to secure user behavior-a relational structure that has not been explored in previous research.
Pengembangan Kampung Wisata Sentra Madu Berbasis Konservasi Lingkungan untuk Pemberdayaan KTH Benteng Muda Mandiri Sumedang Rony Hidayat Sutisna; Dadang Budi Hermawan; Muhammad Agreindra Helmiawan; Muhammad Luthfi Al Ghaazi; Nendi Mardiansyah; xMuhammad Andi Firmansyah
Kreasi: Jurnal Inovasi dan Pengabdian kepada Masyarakat Vol. 6 No. 1 (2026): April
Publisher : BALE LITERASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58218/kreasi.v6i1.2208

Abstract

Program pengabdian masyarakat ini bertujuan untuk memberdayakan Kelompok Tani Hutan (KTH) Benteng Muda Mandiri di Dusun Pasirbenteng, Desa Nagarawangi, Sumedang, melalui pengembangan Kampung Wisata Sentra Madu (KAWEMA) berbasis konservasi lingkungan. Meskipun memiliki potensi besar sebagai sentra madu Trigona, KTH menghadapi masalah utama, yaitu keterbatasan koloni produktif, manajemen usaha yang belum optimal, produk tanpa merek/label, dan kurangnya pengetahuan tentang pengelolaan wisata edukasi. Kegiatan dilaksanakan melalui pelatihan, penyuluhan, pengadaan teknologi, dan pendampingan, dengan fokus pada aspek produksi, manajemen usaha (pemasaran), dan konservasi lingkungan. Solusi yang ditawarkan meliputi penambahan koloni lebah Trigona itama , pengadaan teknologi panen dan pengemasan madu , serta pembinaan lingkungan untuk mewujudkan desa wisata edukasi. Target program mencakup peningkatan produksi madu sebesar 50% dan peningkatan pendapatan anggota KTH sebesar 25%. Penerapan teknologi tepat guna dan penguatan kelembagaan ini diharapkan mampu meningkatkan keberdayaan mitra dari status madya menjadi status utama