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Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Published by Institut Teknologi Pagar Alam
ISSN : 23391871     EISSN : 27157369     DOI : https://doi.org/10.36050/betrik.v10i03
Core Subject : Science,
Computer Science & IT
Besemah Teknologi Informasi dan Komputer (BETRIK) is a national journal published by Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M), Institut Teknologi Pagar Alam (ITPA). This scientific work was published in 3 editions, with topics related to Computers, Technology, and Science. Topics related to this field can be information systems, informatics, computer science, IT business, IT Governance, enterprise architecture planning, software engineering, modeling and simulation, Data Mining, Artificial Neural Network, Digital Image Processing, Algorithm and Programming, Internet of Things (IoT), artificial intelligence, information security, social networking, cloud computing, science, engineering and related topics. The Scientific Journal BETRIK is a peer journal -National review dedicated to the exchange of high-quality research results in all aspects of education and teaching. This journal publishes the latest works in basic theory, experiments and simulations, as well as applications, with systematically proposed methods, adequate reviews of previous works, extended discussions and conclusions. As our commitment to the advancement of education and teaching, the BETRIK Journal follows an open access policy that allows published articles to be available online for free without subscribing.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 239 Documents
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Implementasi Metode SMARTER (Simple Multi Attribute Rating Technique Exploiting Rank) Penentuan Calon Pendonor Darah Muhammad Ali; Dian Megah Sari; Muh. Rafly Rasyid
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/xj5w7q82

Abstract

Limited blood supply and increasing demand for transfusions require an accurate and objective selection process for potential blood donors. Determining donor eligibility is still done manually, which can potentially lead to inaccurate decisions. This study was conducted with the aim of applying the SMARTER method in developing a decision support system for determining the eligibility of potential blood donors at the Indonesian Red Cross (PMI) in Majene. The SMARTER method was used because it can accommodate various criteria with Rank Order Centroid (ROC) weighting based on their level of importance. The criteria used include blood pressure, hemoglobin level, body weight, medication consumption, age, length of last sleep, and medical history. Data was obtained through observation, interviews with PMI officers, and literature review. The calculation results show that the SMARTER method is capable of producing an objective ranking of alternatives. Of the five prospective donors tested, alternatives A1 and A3 obtained the highest preference value of 0.6314 and were declared eligible as blood donors. Thus, the SMARTER-based decision support system can help improve the effectiveness and accuracy of the blood donor selection process.
Pengembangan Dashboard Interaktif Indeks Desa Membangun(IDM) Berbasis Web Provinsi Sumatera Selatan Dwi Novanni, Windri; Nasir, Muhammad
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/ymbd5p91

Abstract

The Village Development Index (IDM) is an important instrument for assessing the level of development and independence of villages in Indonesia. Therefore, data covering social, economic, and environmental aspects need to be presented visually and informatively for easy understanding by various stakeholders. The system development used the Waterfall method, which includes sequential stages of needs analysis, design, implementation, testing, and maintenance. A dashboard was built to present data in the form of tables, graphs, and interactive maps. In addition, this dashboard is intended to be integrated and displayed on the "Bumi Sriwijaya Village" website owned by the Statistics Indonesia (BPS) of South Sumatra Province. The results of system testing using the Black Box Testing technique showed that all system functions run according to predetermined specifications without any functional errors. Thus, the developed dashboard is declared suitable for use as a tool in data-based village development planning, evaluation, and policy-making.
Pendekatan Model TF-IDF dan Cosine Similarity Pada Rekomendasi Dosen Pembimbing Skripsi Heki Aprianto
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/bzdpf251

Abstract

The selection of a thesis supervisor is recommended based on the alignment between the student's research topic and the supervisor's academic expertise. Currently, the supervisor selection process often relies on manual methods based on subjective preferences or supervisor availability, which risks creating a mismatch between the supervisor's competencies and the research topic. This study aims to implement machine learning model Term Frequency–Inverse Document Frequency (TF-IDF) and Cosine similarity approach for recommending thesis supervisors to enhance the objectivity and efficiency of the academic process. The methodology involved collecting a dataset of research titles and abstracts from lecturers in the Health Administration study program at STIKes Budi Mulia Sriwijaya. This was followed by text preprocessing stages, including case folding, tokenization, stopword removal, and stemming. Subsequently, term weighting was calculated using the TF-IDF algorithm, and the semantic similarity between documents was measured using Cosine Similarity. The analysis results indicate a highest TF-IDF score of 95.81, signifying a high degree of topic focus. Meanwhile, the highest Cosine similarity score was 0.77. The visualization of results in a heatmap illustrates the clustering of relationships between titles based on their level of topical similarity
Prediksi Cryptocurrency Berbasis LSTM Menggunakan Multi Modal Indikator Trading(Studi: Ethereum dan Solana) Arya; Yogi Isro' Mukti; Alfis Arif; -, Sigit Candra Setya
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/83kqq228

Abstract

The dynamic development of the cryptocurrency market causes digital asset prices to experience high volatility, making it difficult for investors to accurately predict price movements. Therefore, an analytical method is needed to model price movement patterns in time series data. This study aims to develop a cryptocurrency price prediction model for Ethereum and Solana using the Long Short-Term Memory (LSTM) method with a multi-modal trading indicator approach. The dataset used consists of historical price data including open, high, low, close, trading volume, and technical indicators such as Exponential Moving Average (EMA), Relative Strength Index (RSI), and Bollinger Bands. The research process follows the CRISP-DM methodology, which includes business understanding, data understanding, data preparation, modelling, evaluation, and deployment stages. The data were processed through normalization and time series windowing, with a training and testing data split of 80:20. The evaluation results using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) indicate that the model has good predictive performance. The Ethereum model produced an RMSE value of 129.08 and a MAPE of 3.26%, while the Solana model produced an RMSE of 8.30 and a MAPE of 3.63%. The developed model was also implemented in a Streamlit-based dashboard to visualize prediction results interactively, helping users monitor and analyze cryptocurrency price movements.
Implementasi Framework CodeIgniter pada Pengembangan Sistem Layanan Akademik Terintegrasi di Politeknik Negeri Sriwijaya Prambayun, Arif; Amin, Muhammad Miftakul; Gahara, Muhammad Husain; Shakti, Jurni Pradi Mulya
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/d2gckq77

Abstract

The digitalization of academic services has become an urgent necessity for higher education institutions to enhance efficiency, transparency, and user satisfaction. Politeknik Negeri Sriwijaya still faces challenges in managing academic services such as warning letters, stop-out requests, and active study certificates, which are currently handled manually. This study aims to implement the CodeIgniter framework in developing an integrated web-based academic service system that can improve process efficiency and reduce administrative errors. The research employs the Software Development Life Cycle (SDLC) using the Waterfall model, consisting of the stages of requirements analysis, system design, implementation, testing, and evaluation. The developed system includes three main academic service modules, supported by a MySQL database and a Model-View-Controller (MVC) architecture. Functional testing results show that all features operate according to user requirements with a functional test pass rate of 98.6%              . Therefore, the implementation of CodeIgniter is proven effective in producing a structured, easily manageable, and adaptive system that meets the needs of vocational higher education institutions
Pengembangan E-Modul Etnomatematika Menggunakan Metode Aglile Scrum Hartono, Rudy; Kamiksius, Okta; Nolly Pialewi; Herji
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/c17es615

Abstract

One of the primary objectives of mathematics education in schools is to enhance students’ thinking skills. In the context of deep learning-based instruction, teachers are required to deliver learning materials contextually, particularly in ethnomathematics, by connecting mathematical concepts with local cultural practices and utilizing technology as a supporting learning medium. This study aims to develop a web-based ethnomathematics e-module as an alternative instructional resource that is more contextual, interactive, and flexible. The research employs a Research and Development (R&D) approach, with system development carried out using the Agile Scrum methodology. The development process involves the preparation of a Product Backlog and the implementation of Scrum Events through multiple iterative sprints. The system is developed using the Laravel framework, supported by MySQL as the database, and Bootstrap to ensure a responsive user interface. System testing is conducted using the Black Box Testing method, involving teachers and 28 students as users. The results indicate that all system features function properly in accordance with user requirements. Furthermore, the developed system supports a more interactive learning process, facilitates teachers in delivering contextualized materials, and enhances students’ understanding through evaluation features equipped with immediate feedback.
Analisis Komparatif Performa Algoritma AES Dan RSA Dalam Keamanan Data Digital Berbasis Python Habib Nurfaizal; Abdul Choliq; Fahrul Roji; Ayu Permatasari
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/wdhsc889

Abstract

Data security is a crucial aspect of digital information exchange. System developers are often faced with the choice between the symmetric algorithm Advanced Encryption Standard (AES), which is fast but has challenges in key distribution, and the asymmetric algorithm Rivest–Shamir–Adleman (RSA), which provides more secure key distribution but incurs higher computational overhead. In addition, studies examining the performance efficiency of these two algorithms across various file sizes and types remain limited. This study aims to analyze the performance comparison between AES and RSA based on encryption and decryption time as well as computational efficiency. The method used is an experimental approach through simulation using the Python programming language with a graphical user interface (GUI). Testing was conducted on various file types and sizes, namely .txt (1 KB, 2 KB), .doc (48 KB), .pdf (97 KB), .png (122 KB), and .jpg (359 KB). The experimental results show that AES tends to be more efficient and faster for medium to large-sized files, while RSA demonstrates more stable performance on small file sizes but is less efficient for larger files due to its computational complexity. Therefore, AES is more recommended for primary data encryption, while RSA is effectively used for secure key distribution mechanisms.
Analisis Dan Perencanaan Strategi Sistem Informasi Pada LLDIKTI Wilayah II Palembang Zidan, Abi; Dicky Pratama
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/hkp8s454

Abstract

The advancement of Information Systems and Information Technology (IS/IT) requires organizations to improve service quality effectively and efficiently. The Higher Education Service Institution (LLDIKTI) Region II Palembang, as an institution responsible for supervising private universities, requires integrated information systems. However, current conditions indicate that IS/IT utilization is not fully optimized, as shown by limited system integration, lack of real-time data management, and the absence of structured IS/IT strategic planning. This study aims to develop IS/IT strategic planning aligned with organizational needs using the Ward and Peppard approach. The analysis employs Value Chain, PEST, SWOT, and Critical Success Factors (CSF) to evaluate internal and external environments. The results include IS strategy, IT strategy, and IS/IT management strategy, along with application portfolio recommendations and a development roadmap. These outcomes are expected to enhance service performance, support data-driven decision-making, and accelerate digital transformation within LLDIKTI Region II Palembang.
SPK Penilaian Kinerja Karyawan Menggunakan Metode SMART Pada PT Bintang Beton Mandala Natasya Herdiana; Mulyati
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/vk82rg02

Abstract

Manual employee performance evaluation processes often lead to issues such as subjectivity, inconsistency, and time inefficiency. This study aims to develop a web-based decision support system for employee performance evaluation using the Simple Multi Attribute Rating Technique (SMART) method. The SMART method is applied to determine criteria weights, calculate utility values, and generate final scores and rankings based on several aspects, namely planning and performance, competence, and integrity. The system is developed using the Laravel framework with Filament as the admin panel and MySQL as the database. System testing is conducted by comparing manual calculation results with system-generated results using data from four employees as the research sample. In addition, system testing is performed to ensure that the calculations are consistent and reliable. The results show that the system produces the same values as manual calculations with a difference of 0, indicating that the implementation of the SMART method is accurate. Furthermore, the system is able to automate the evaluation process, thereby improving efficiency and reducing potential errors compared to manual methods.

Page 24 of 24 | Total Record : 239

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