cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Dewi Ratnaningsih
Contact Email
dewi.ratnaningsih@umko.ac.id
Phone
+6281997112904
Journal Mail Official
jurnal@umko.ac.id
Editorial Address
-
Location
Kab. lampung utara,
Lampung
INDONESIA
SIENNA
Published by Universitas Muhammadiyah Kotabumi
ISSN : 2745987X     EISSN : 27459861     DOI : https://doi.org/10.47637/sienna.v1i2
Core Subject : Science, Engineering,
Computer Science & IT Engineering
The Journal of Information Systems and Technology (SIENNA) has been published by the Faculty of Engineering and Computer Science (FTIK), University of Muhammadiyah Kotabumi (UMKO) since July 2020. SIENNA contains manuscripts of research results in the fields of Information Systems, Information Technology, and Computer Science. SIENNA is committed to publishing quality articles in Indonesian so that they can become the main reference for researchers in the fields of Information Systems, Information Technology and Computer Science.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 85 Documents
 5   6   7   8   9 
Optimasi Hyperparameter Bi-Directional Long Short Term Memory Menggunakan Particle Swarm Optimization Untuk Prediksi Saham BBRI Made Arya Adi Yoga; Andreas Perdana
Sienna Vol 7 No 1 (2026): Sienna Volume 7 Nomor 1 Juli 2026
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v7i1.2320

Abstract

Pasar modal, khususnya saham sektor perbankan seperti PT Bank Rakyat Indonesia (Persero) Tbk. (BBRI), sering kali menunjukkan volatilitas tinggi, sehingga membuat prediksi harga saham menggunakan metode konvensional menjadi sangat menantang. Tujuan penelitian ini adalah untuk meningkatkan keakuratan prediksi harga saham BBRI dengan mengintegrasikan arsitektur BiDirectional Long Short-Term Memory (Bi-LSTM) dan algoritma Particle Swarm Optimization (PSO). Salah satu tantangan utama dalam penerapan deep learning adalah penentuan kombinasi hyperparameter yang tepat. Oleh karena itu, PSO digunakan untuk mencari nilai optimal bagi parameter seperti ukuran tersembunyi, kecepatan pembelajaran, dan tingkat putus sekolah. Hasil penelitian menunjukkan bahwa PSO berhasil mengidentifikasi parameter optimal dengan learning rate sebesar 0.01000 danhidden size 96, yang memungkinkan model mencapai konvergensi pada epoch ke-29. Performa model yang dihasilkan menunjukkan akurasi yang baik dengan nilai Mean Absolute Percentage Error (MAPE) sebesar 1,32% dan Root Mean Squared Error (RMSE) sebesar 68,44. Kesimpulan dari penelitian ini menunjukkan bahwa penggunaan PSO dalam optimasi memberikan hasil yang cukup signifikan meningkatkan kemampuan Bi-LSTM dalam memodelkan Menggambarkan pola data waktu yang rumit, model ini bisa menjadi bantuan yang baik bagi investor dalam membuat keputusan investasi di pasar modal.
Analisis Sentimen Masyarakat terhadap Kebijakan Penggunaan BBM Campuran Etanol di X (Twitter) Menggunakan Transformers (IndoBERT) Arraffy Abbyu Arrasyid; Andreas Perdana
Sienna Vol 7 No 1 (2026): Sienna Volume 7 Nomor 1 Juli 2026
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v7i1.2321

Abstract

Abstrak The transition toward sustainable energy has become a strategic priority for Indonesia, particularly through the implementation of bioethanol-blended fuel policies. However, public perception toward this policy remains diverse and dynamic, especially as expressed on social media platforms. This study aims to analyze public sentiment regarding the implementation of bioethanol-blended fuel (E10) policies on X (Twitter) and to compare the performance of traditional machine learning and Transformer-based models in sentiment classification. This research adopts a quantitative experimental approach using Natural Language Processing (NLP) techniques. A total of 2,501 tweets were collected through web crawling and processed using a Dual Pipeline Preprocessing approach. Sentiment labeling was conducted using the VADER method with manual validation. Two classification models were implemented, namely Support Vector Machine (SVM) as the baseline model and IndoBERT as the Transformer-based model. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the IndoBERT model outperforms SVM, achieving an accuracy of 81.64% and an F1-score of 81.39%, compared to SVM with an accuracy of 72.46% and an F1-score of 72.02%. The performance improvement of 9.18% demonstrates the superiority of Transformer-based models in capturing contextual semantics in unstructured social media text. In addition, sentiment analysis results reveal that public opinion is predominantly positive toward the policy, although concerns regarding technical and economic aspects remain. This study contributes by providing empirical insights into public perception of energy policy and demonstrating the effectiveness of Transformer-based models for sentiment analysis in the Indonesian language context
Perancangan dan Implementasi Sistem Informasi E-Office Berbasis Web untuk Manajemen Administrasi Surat pada BNN Kota Metro Clara Audri Cahyaningrat; Randi Estian Pambudi
Sienna Vol 7 No 1 (2026): Sienna Volume 7 Nomor 1 Juli 2026
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v7i1.2366

Abstract

Kemajuan teknologi informasi mendorong lembaga pemerintahan untuk meningkatkan efisiensi dalam pengelolaan administrasi, terutama dalam pengolahan surat yang masuk dan surat yang keluar. Di Badan Narkotika Nasional (BNN) Kota Metro, proses administrasi surat masih berjalan secara semi-manual yang dapat menimbulkan masalah seperti keterlambatan dalam pencarian arsip, duplikasi data, dan rendahnya efektivitas dalam pengelolaan dokumen. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi E-Office berbasis web yang dapat mendukung pengelolaan administrasi surat secara terintegrasi. Metode pengembangan sistem yang diterapkan adalah Agile, yang memungkinkan proses pengembangan berlangsung secara iteratif dan responsif terhadap kebutuhan pengguna. Sistem ini dibuat dengan bahasa pemrograman PHP yang dipadukan dengan framework CodeIgniter serta memanfaatkan database MySQL. Fitur utama yang dikembangkan mencakup pengelolaan surat masuk, surat keluar, disposisi surat, dan pencarian arsip dengan cepat dan tepat. Pengujian sistem dilaksanakan dengan metode Black Box Testing guna memastikan setiap fungsi beroperasi sesuai dengan kebutuhan pengguna. Temuan penelitian menunjukkan bahwa sistem yang dikembangkan dapat meningkatkan efisiensi dalam pengelolaan administrasi surat, memudahkan proses pengarsipan, dan mempercepat pencarian dokumen secara elektronik. Dengan demikian, penerapan sistem E-Office ini diharapkan mampu mendukung kinerja administrasi yang lebih efisien dan efektif di lingkungan BNN Kota Metro
Development of a Hybrid LSTM and Isolation Forest Architecture for Realtime SQLi, Brute-Force, and Data Exfiltration Attack Detection on MariaDB Khusnul Khotimah; Hartono; Rama Apriando; Faris
Sienna Vol 7 No 1 (2026): Sienna Volume 7 Nomor 1 Juli 2026
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v7i1.2368

Abstract

This research is in the field of cybersecurity and artificial intelligence, focusing on developing a real-time attack detection system for MariaDB databases. The research was motivated by the increasing threats of SQL injection (SQLi), brute-force attacks, and data exfiltration, which are increasingly difficult to detect using conventional rule-based methods. The objective of the research was to develop a hybrid architecture based on Long Short-Term Memory (LSTM) and Isolation Forest to improve detection accuracy while reducing false positives in modern database environments. The research method employed a Research and Development (R&D) approach through three main modules. The first module applies a bidirectional LSTM to detect SQLi based on query sequence analysis. The second module uses Isolation Forest and Rotated Isolation Forest to detect brute-force attacks through access behavior analysis. The third module applies Isolation Forest to detect data exfiltration based on traffic patterns and data transfer behavior. The entire dataset underwent preprocessing, feature engineering, tokenization, normalization, and performance evaluation using confusion matrices, precision, recall, F1-score, and AUC. The results show that the Bi-LSTM model achieved 99.99% accuracy in detecting SQLi. In brute-force detection, the standard Isolation Forest provided the best performance with a recall of 99.94% and an F1-score of 99.61%. Meanwhile, the data exfiltration module achieved a 100% detection rate on simulated exfiltration traffic with a combined accuracy of 94.92%. This study proves that the hybrid LSTM–Isolation Forest architecture is capable of providing accurate, adaptive detection and is feasible to be implemented as a next-generation MariaDB database security system.
Blockchain-Based Preservation Framework for Network Forensic Evidence Integrity Mirza Sutrisno; Sunardi; Rusydi Umar
Sienna Vol 7 No 1 (2026): Sienna Volume 7 Nomor 1 Juli 2026
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v7i1.2377

Abstract

Network forensic investigations rely heavily on the integrity and traceability of Packet Capture (PCAP) files as primary digital evidence. Digital Forensic Research Workshop (DFRWS) implementations commonly employ centralized preservation mechanisms that remain vulnerable to unauthorized modification and provide limited provenance transparency. To address these limitations, this study proposes a blockchain-based preservation framework integrated into the preservation phase of the DFRWS model. The framework combines SHA-256 cryptographic hashing for integrity verification, blockchain-based provenance logging, and distributed ledger validation while maintaining off-chain evidence storage. Unlike many existing blockchain-based forensic frameworks that primarily emphasize provenance recording and chain-of-custody management, this study evaluates evidence preservation through an integrated validation approach consisting of controlled tampering simulation, cryptographic sensitivity analysis, and preservation latency measurement. Experimental evaluation using PCAP datasets representing attack and baseline traffic conditions demonstrated that unauthorized evidence modification was successfully detected through hash inconsistencies. Avalanche Effect analysis produced a value of 50.39%, confirming the strong cryptographic sensitivity of the SHA-256 mechanism to minimal data alteration. While SHA-256 enables reliable tampering detection, the integrated blockchain architecture provides tamper-resistant provenance recording, chain-of-custody traceability, and distributed verification of evidence integrity. The framework achieved an average preservation latency of 2.057 seconds within the experimental environment, providing preliminary evidence of feasibility for blockchain-assisted forensic logging under controlled conditions. Although no direct comparison with alternative preservation approaches was conducted, the findings provide a proof-of-concept validation and contribute empirical evidence regarding the potential of blockchain-supported provenance management to enhance trustworthiness and integrity assurance in network forensic workflows.
Rancang Bangun Sistem Informasi Pengelolaan Administrasi Berbasis Web Pada MTS Darussholihin Hujung Untuk Peningkatan Efisiensi Tata Usaha Nur Aini; Wasilah
Sienna Vol 7 No 1 (2026): Sienna Volume 7 Nomor 1 Juli 2026
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v7i1.2358

Abstract

Perkembangan teknologi informasi mendorong lembaga pendidikan untuk meningkatkan kualitas pengelolaan administrasi secara efektif, efisien, dan terintegrasi. Salah satu aspek penting dalam administrasi sekolah adalah pengelolaan surat masuk, surat keluar, serta pengarsipan dokumen yang meliputi arsip aktif, arsip retensi, dan arsip inaktif. Pada MTs Darussholihin Hujung, proses pengelolaan administrasi masih dilakukan secara manual menggunakan pencatatan buku agenda dan penyimpanan dokumen fisik, sehingga berpotensi menimbulkan berbagai permasalahan seperti keterlambatan pencarian dokumen, risiko kehilangan arsip, duplikasi data, serta rendahnya efisiensi kerja tata usaha. Oleh karena itu, diperlukan suatu sistem informasi berbasis web yang mampu mendukung pengelolaan administrasi secara terkomputerisasi dan terstruktur. Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Pengelolaan Administrasi Berbasis Web pada MTs Darussholihin Hujung guna meningkatkan efisiensi tata usaha dalam pengelolaan surat dan arsip. Metode pengembangan sistem yang digunakan adalah metode Waterfall yang terdiri dari tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Sistem ini dikembangkan menggunakan framework CodeIgniter dengan bahasa pemrograman PHP dan basis data MySQL. Fitur utama sistem meliputi pengelolaan data surat masuk, surat keluar, arsip retensi, dan arsip inaktif yang terintegrasi dalam satu sistem informasi berbasis web. Pengujian sistem dilakukan menggunakan metode Blackbox Testing untuk memastikan bahwa seluruh fungsi sistem berjalan sesuai dengan kebutuhan pengguna. Hasil penelitian ini berupa sistem informasi administrasi berbasis web yang menyediakan menu dashboard, surat masuk, surat keluar, arsip retensi, dan arsip inaktif. Sistem ini mempermudah pencatatan, pencarian, dan pengelolaan dokumen, mengurangi kesalahan serta risiko kehilangan arsip, sehingga meningkatkan efisiensi, keamanan, dan kerapihan administrasi tata usaha.
Optimasi Klasifikasi Risiko Ibu Hamil Menggunakan Support Vector Machine (SVM) Berbasis Particle Swarm Optimization (PSO) Fely Prasetya; Prilian Ayu Minarni; Sonianto
Sienna Vol 6 No 2 (2025): Sienna Volume 6 Nomor 2 Desember 2025
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v6i2.2192

Abstract

Accurate classification of pregnancy risk is crucial for early detection of complications and reducing maternal and infant mortality rates. However, existing classification models still face challenges in terms of accuracy, particularly in distinguishing between high and very high-risk classes. This study aims to improve the accuracy of pregnancy risk classification models by optimizing Support Vector Machine (SVM) using Particle Swarm Optimization (PSO) algorithm. The study utilizes the "Maternal Health Risk Data" dataset available on Kaggle, which contains information on maternal health. The data is analyzed using two models: standard SVM and SVM optimized with PSO. Evaluation is conducted by comparing the accuracy, precision, recall, and F1-score of both models. The application of SVM without PSO resulted in an accuracy of 77.72%, whereas after optimization with PSO, the accuracy increased to 89.92%. Significant improvements were also observed in precision (from 79.37% to 89.49%) and recall (from 78.81% to 89.55%). The F1-score of the PSO-based SVM model reached 89.52%, demonstrating a good balance between precision and recall.
Pengembangan Agenda & Scheduling Meeting Administration and Reporting Application (ASMARA) Di Kantor BPS Lampung Utara Faris Faris; Maryana Maryana; Dina Anwar; Imam Abrori Hanifan; Khusnul Khotimah
Sienna Vol 6 No 2 (2025): Sienna Volume 6 Nomor 2 Desember 2025
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v6i2.2218

Abstract

The inefficiency of manual meeting scheduling at the North Lampung Regency Central Statistics Agency (BPS) has led to frequent data conflicts and communication delays. Conventional calendar applications often fail to accommodate the specific bureaucratic requirement for hierarchical approval before an agenda is publicized. This study aims to develop the Agenda & Scheduling Meeting Administration and Reporting Application (ASMARA) to streamline the scheduling process. The research employs a qualitative applied approach using the Waterfall development method, encompassing requirements analysis, system design, implementation, and testing. The system is built using the Laravel framework and Vue.js, integrated with a Node.js-based WhatsApp Gateway service. The result is a web-based application featuring a role-based approval workflow, where meeting agendas created by staff must be validated by the Head of Office or Sub-division Head. Once approved, the system automatically triggers real-time WhatsApp notifications to all participants. Testing results indicate that ASMARA effectively eliminates scheduling conflicts, ensures administrative accountability through digital approval tracking, and significantly improves information dissemination speed among BPS employees
Model Implementasi Telemedicine Berbasis Teknologi Informasi di Puskesmas Kotabumi Ilir Yulina; Servita Qodoria; Fazar Pratama
Sienna Vol 6 No 2 (2025): Sienna Volume 6 Nomor 2 Desember 2025
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v6i2.2237

Abstract

The development of information technology is driving the transformation of health services through the use of telemedicine, particularly in community health centers (Puskesmas) as first-level health facilities that play a strategic role in improving access and quality of public health services. However, its implementation still faces technical, organizational, and environmental challenges, necessitating a study on the readiness and implementation model of telemedicine at the Sindang Sari Community Health Center in Kotabumi. The urgency of this research lies in the need to map the actual readiness of community health centers in adopting telemedicine sustainably and formulate a contextual implementation model according to the characteristics of primary health care. The novelty of this research is demonstrated through the use of the Technology–Organization–Environment (TOE) Framework to analyze the implementation of telemedicine in an integrated manner using a case study approach. The problem formulation focuses on the level of readiness for telemedicine implementation, the technological, organizational, and environmental factors that influence it, and an effective implementation model. This study aims to analyze community health center readiness, identify determinants of implementation, and develop an applicable implementation model. The research method employed a qualitative approach through in-depth interviews, observation, and documentation, with thematic data analysis based on the TOE Framework. The results indicated that readiness was in the moderately prepared category, with the technology dimension dominating, while the organizational and environmental dimensions still needed strengthening. The conclusion confirms that successful telemedicine implementation requires the ongoing integration of technological readiness, organizational capacity, and environmental support.
Perancangan Game Edukasi Alat Musik Interaktif Piano, Saron dan Drum Berbasis Web Ryan Aji Wijaya; M. Abu Jihad Plaza R; Yulina
Sienna Vol 6 No 2 (2025): Sienna Volume 6 Nomor 2 Desember 2025
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v6i2.2238

Abstract

In an era of rapidly evolving technology, the advancement of online applications has become a powerful method for enhancing children's imagination and abilities across various fields, including music. This research focuses on the design and implementation of an electronic smart music game for three instruments: piano, saron, and drums, based on a web platform. The primary objective of this application is to attract children's interest in learning instruments through engaging and easily accessible online media. The development technique employed is the Software Development Life Cycle (SDLC) using the Waterfall model, which integrates the phases of requirements analysis, planning, implementation, and testing. Use case diagrams, activity diagrams, and sequence diagrams were utilized during the planning stage to define the system framework using Unified Modeling Language (UML). The implementation was completed using Visual Studio Code and programming languages including HTML, CSS, and JavaScript. The results of this design indicate that this music game application can effectively and enjoyably assist children in learning musical instruments. Furthermore, the application fosters children's interest in music while supporting their cognitive and emotional development. With its simple and accessible features, this application is expected to become a significant asset for music and social education in Indonesia, while helping to build awareness and enthusiasm for both traditional and modern music.

Page 8 of 9 | Total Record : 85

 5   6   7   8   9 

Filter by Year

2020 2026


Reset
Filter By Issues
All Issue Vol 7 No 1 (2026): Sienna Volume 7 Nomor 1 Juli 2026 Vol 6 No 2 (2025): Sienna Volume 6 Nomor 2 Desember 2025 Vol 6 No 1 (2025): Sienna Volume 6 Nomor 1 Juli 2025 Vol 5 No 2 (2024): Sienna Volume 5 Nomor 2 Desember 2024 Vol 5 No 1 (2024): Sienna Volume 5 Nomor 1 Juli 2024 Vol 4 No 2 (2023): Sienna Volume 4 Nomor 2 Desember 2023 Vol 4 No 1 (2023): Sienna Volume 4 Nomor 1 Juli 2023 Vol 3 No 2 (2022): Sienna Volume 3 Nomor 2 Desember 2022 Vol 3 No 1 (2022): Sienna Volume 3 Nomor 1 Juli 2022 Vol 2 No 2 (2021): SIENNA Volume 2 Nomor 2 Desember 2021 Vol 2 No 1 (2021): SIENNA Volume 2 Nomor 1 Juli 2021 Vol 1 No 2 (2020): SIENNA Volume 1 Nomor 2 Desember 2020 Vol 1 No 1 (2020): SIENNA Volume 1 Nomor 1 Juli 2020 More Issue