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Bakhtiyar Hadi Prakoso
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BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer
Published by Sinergis Asa Professional
ISSN : -     EISSN : 27220850     DOI : https://doi.org/10.37148/bios
Core Subject : Science,
Computer Science & IT
BIOS: Jurnal Teknologi Informasi dan Rekayasa Komputer (e-ISSN. 2722-0850) is a scientific journal in the field of information technology and computer engineering managed by the Asa Professional Research & Development Center (PUSLITBANG), Jember, East Java, Indonesia. This journal is managed by lecturers and practitioners who come from various university backgrounds in Indonesia, especially Jember, East Java.The BIOS journal is published 2 (two) times a year, namely every March and September. The BIOS journal published in each edition consists of 5-10 articles per volume. The focus and scope of this journal are in the field of Information Technology and others that are still knowledge related, including: Databases System Data Mining / Web Mining Data Warehouse Artificial Intelligence Business Intelligence Cloud & Grid Computing Decision Support System Human-Computer Interaction Mobile Computing & Application E-System Machine Learning Deep Learning Information Retrieval (IR) Computer Network Multimedia System Information System Geographic Information System (GIS) Accounting information system Database Security System & Network Security Cryptography Fuzzy Logic Expert System Image Processing Computer Graphic Computer Vision Semantic Web e-Health and others related to Information Technology and Computer Engineering.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 13 Documents
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Search results for , issue "vol 7 no 2 (2026): september" : 13 Documents clear
Perbandingan Algoritma Decision Tree dan K-Nearest Neighbor untuk Klasifikasi Penyakit ISPA Marchell William Putra Pakpahan; Bayu Angga Wijaya; Marsaulina Lumbantoruan; Ambarsius Samosir; Mikhael Rafael
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.215

Abstract

Acute Respiratory Infection (ARI) is one of the most common respiratory diseases with diverse and overlapping clinical symptoms, making initial identification challenging and necessitating a systematic, data-driven classification approach. This study aims to compare the performance of the Decision Tree and K-Nearest Neighbor (KNN) algorithms in classifying ARI-related disease categories. The novelty of this research lies in the specific construction of ARI labels into five distinct categories from the Pediatric Respiratory Infections dataset, coupled with a rigorous feature selection process to handle mixed data types and address class imbalance using weighted evaluation metrics. The dataset consisted of 801 patient records with 91 initial attributes. The classification label was constructed from the Main diagnostic column and grouped into five categories: Asthma/Bronchospasm/Wheezing, Pneumonia/Pneumopathy, Bronchiolitis, Laryngeal/Upper Respiratory, and Other. After feature selection to remove noise and redundancy, 54 features were used, consisting of 24 numerical and 30 categorical features. The research stages included preprocessing, label construction, missing value handling, categorical encoding, KNN normalization, 80:20 train-test splitting, and model evaluation. The results show that Decision Tree achieved higher performance with 67.08% accuracy and 69.12% weighted F1-score, while KNN achieved 65.84% accuracy and 64.18% weighted F1-score. Thus, Decision Tree demonstrates superior performance and interpretability for this specific dataset.
Analisis Kesiapan Penerapan Rekam Medis Elektronik dengan Metode DOQ-IT di Puskesmas Kendit Situbondo Sabran Sabran; Nabila Agustina; Maya Weka Santi; Gamasiano Alfiansyah
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.209

Abstract

Kendit Public Health Center currently uses paper-based medical records and has only recently begun implementing electronic medical records (EMR) in several service areas. However, this implementation faces numerous challenges, including data duplication, file damage, and the accumulation of 9,424 physical records. This situation highlights the importance of accelerating the comprehensive implementation of Electronic Medical Records (EMR) to enhance the efficiency of patient data management. This study aims to analyze the readiness for EMR implementation using the DOQ-IT method. This descriptive research involved 53 respondents, with data collected through questionnaires. The results showed that organizational alignment readiness was in the “very ready” category with a score of 31.72 out of a maximum score range of 45. The subvariables included culture (mean: 3.56), leadership (mean: 3.53), and strategy (mean: 3.47) on a 1 – 4 scale. Meanwhile, organizational capacity readiness was in the “moderately ready” category with a score of 59.77 out of a maximum score range of 100. The subvariables included information management (mean: 3.11), clinical and administrative staff (mean: 3.07), training (mean: 3.42), workflow process (mean: 2.92), accountability (mean: 2.75), budgeting (mean: 3.12), patient involvement (mean: 2.58), IT management (mean: 3.06), and IT infrastructure (mean: 2.80) on a 1 – 4 scale. Improvements are needed in organizational capacity, particularly in patient involvement, accountability, and IT infrastructure.
Analisis Prediksi Permintaan Produk FMCG menggunakan Model LSTM dan DES Untuk Optimalisasi Operasional Gudang Distribusi Tanti Cahya Herdiyani; Taswanda Taryo; Kahfi Heryandi Suradiradja; Zafira Salsabilah
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.213

Abstract

The Fast-Moving Consumer Goods (FMCG) sector is characterized by rapid product turnover and short shelf lives, requiring effective inventory management. Companies such as PT Macrosentra Niagaboga face challenges in maintaining stock availability. Although the inventory system has been integrated, stock verification is still conducted manually, requiring adaptive management to minimize the risk of overstock and stockout. Therefore, this study aims to develop a demand forecasting model using the Long Short-Term Memory (LSTM) algorithm integrated with Discrete-Event Simulation (DES) to optimize inventory management. The study utilized historical shipment data from May 2025 to January 2026. Preprocessing included data cleansing, date validation, and aggregation into daily and weekly data. Forecasting results were subsequently used as inputs for the DES simulations to determine optimal inventory policies. The results demonstrated that weekly LSTM aggregation was more accurate and stable than daily aggregation, as evidenced by a reduction in WAPE from 49.9% to 16.94% for high-demand products. Furthermore, integration with DES reduced stock levels by more than 30% using a safety stock ratio of 0.7 without compromising service levels. Finally, the proposed model was implemented in a web-based dashboard serving as a decision support system for monitoring forecasting and inventory policy recommendations.
Sistem Sistem Informasi Akreditasi Online Multi-LAM untuk Manajemen Dokumen Program Studi Eko Wahyu Wibowo; M. Iman Wahyudi; Angga Kurnia Putra
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.214

Abstract

Study-program accreditation requires supporting evidence to be organised in a valid, current, and traceable manner. This need becomes more complex when study programs within one faculty are evaluated by different independent accreditation agencies, such as LAMSAMA and LAM INFOKOM. This study develops a web-based multi-accreditation-agency information system for managing accreditation documents at a Faculty of Science and Technology. The system was developed using the System Development Life Cycle, which consists of requirements analysis, design, coding, testing, and maintenance. The results show that the system supports three user roles, document mapping by study program, accreditation agency, and criteria, as well as upload, download, validation, revision, and monitoring functions. Black-box testing indicates that the main functional scenarios run as expected. The proposed system contributes an adaptive document management model that can be updated when accreditation criteria or agency schemes change.
Model HOT-FIT dalam Menilai Keberhasilan Implementasi Aplikasi Gemini serta Dampaknya pada Kepuasan Pengguna Dewi Lusiana; Aji Brahma Nugroho
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.218

Abstract

The rapid development of Artificial Intelligence (AI) has increased the use of the Gemini application to support information retrieval, task completion, and work productivity. This study aims to analyze the factors influencing the successful use of the Gemini application using the Human-Organization-Technology Fit (HOT-FIT) model. The variables examined include Service Quality, User Satisfaction, Organizational Structure, and Net Benefit. A quantitative approach with purposive sampling was employed. Data were collected from 100 respondents, consisting of students, lecturers, and employees, and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The results indicate that all constructs meet the validity and reliability requirements. The R-Square values of 0,588 for User Satisfaction and 0,676 for Net Benefit demonstrate satisfactory explanatory power. Hypothesis testing shows that Service Quality has a positive and significant effect on User Satisfaction (β=0.767; p<0.001), User Satisfaction has a positive and significant effect on Net Benefit (β=0.274; p=0.023), and Organizational Structure has a positive and significant effect on Net Benefit (β=0.599; p<0.001). These findings indicate that the HOT-FIT model effectively explains the success of the Gemini application, highlighting the importance of service quality and organizational support in maximizing its benefits.
Analisis Klasifikasi Stadium Kanker Payudara Menggunakan Algoritma Naïve Bayes Berdasarkan Data Rekam Medis Mudafiq Riyan Pratama; Sefia Ayu Maharani; Mochammad Choirur Roziqin; Dony Setiawan Hendyca Putra
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.243

Abstract

Breast cancer is one of the leading causes of cancer-related mortality among women, highlighting the need for faster and more accurate approaches to support disease staging. The utilisation of electronic medical records through data mining techniques provides an alternative approach for breast cancer stage classification. This study aimed to analyse breast cancer stage classification using the Naïve Bayes algorithm based on electronic medical record data from patients at Baladhika Husada Level III Hospital, Jember. A quantitative approach was employed using secondary data consisting of 476 breast cancer medical records selected from a total of 1,082 records. The research stages included data selection, data cleaning, categorical encoding, model development using the Naïve Bayes algorithm, and model evaluation using a Confusion Matrix based on accuracy, precision, and recall. Model performance was evaluated using nine training-testing split scenarios ranging from 10:90 to 90:10. The experimental results showed that the 90:10 split scenario achieved the best performance, with an accuracy of 87.50%, precision of 86.36%, and recall of 86.36%. These findings indicate that the Naïve Bayes algorithm is capable of classifying breast cancer stages effectively based on patients' clinical characteristics recorded in electronic medical records. The proposed approach demonstrates the potential of integrating electronic medical records and the Naïve Bayes algorithm to support the development of clinical decision support systems for breast cancer stage classification.
Klasifikasi Perilaku Keuangan UMKM Medan dengan Machine Learning dan SHAP Saliman Saliman; Rivaldi Lubis; Sunaryo Winardi; Mustika Ulina
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.224

Abstract

Good financial behavior is an important factor in sustaining micro, small, and medium enterprises (MSMEs), particularly in financial recording, debt management, and investment planning. Previous research using Structural Equation Modeling Partial Least Squares (SEM-PLS) identified financial attitude as the dominant factor influencing MSMEs’ financial behavior in Medan City. Based on these findings, this study develops a complementary machine learning-based approach to classify MSMEs’ financial behavior at the individual level and evaluate its consistency with SEM results through SHAP-based Explainable Artificial Intelligence (XAI). The dataset consists of 100 MSME respondents with seven main features, including three financial constructs and four demographic variables. Three ensemble algorithms, namely CatBoost, XGBoost, and Random Forest, were evaluated using hold-out and Stratified 5-Fold Cross-Validation. The results show that CatBoost achieved the best performance with 80.00% accuracy and 82.46% F1-score. SHAP analysis confirmed the dominance of attitude score and revealed the significant predictive contribution of demographic variables. Integrating machine learning and SHAP is an effective complementary approach to extend the understanding of MSMEs’ financial behavior comprehensively.
Arsitektur API Gateway pada Hybrid Cloud Berbasis Zero Trust untuk Perbankan Digital B. Junedi Hutagaol; Riama Santy Sitorus; Nadya Allia Putri
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.226

Abstract

The rapid adoption of digital banking services has increased the reliance on Application Programming Interfaces (APIs) to support integration, service delivery, and collaboration with external partners. However, the growing exposure of APIs has also introduced significant security risks, while financial institutions must simultaneously address scalability demands and regulatory compliance requirements. This study aims to design a Hybrid Cloud API Gateway Architecture integrated with Zero Trust Security principles for digital banking systems. The research employs a qualitative approach using the Design Science Research (DSR) methodology, consisting of literature review, requirements analysis, architecture design, expert validation, and architecture evaluation. The proposed architecture integrates API Gateway capabilities, Hybrid Cloud Architecture, and Zero Trust mechanisms to provide secure, scalable, and resilient banking services. Critical workloads and sensitive data are maintained within private cloud environments, while scalable services are deployed in the public cloud to improve flexibility and resource utilization. Evaluation results indicate that the proposed architecture aligns with NIST SP 800-207 Zero Trust Architecture principles, addresses major risks identified in the OWASP API Security Top 10, and supports compliance with PCI DSS and ISO/IEC 27001 standards. The proposed framework provides a practical reference for developing secure, scalable, and compliant digital banking infrastructures.
Perancangan Antarmuka Sistem Pengajuan Surat Keterangan Medis Berbasis Web di RSUP Dr. Sardjito Yogyakarta Upit Uswatun Hasanah; Veronika Vestine; Sabran Sabran; Erna Nurul Wahyuningrum
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.232

Abstract

The issuance of Medical Certificates (Surat Keterangan Medis/SKM) at Dr. Sardjito General Hospital, Yogyakarta, is still conducted manually, requiring applicants to visit the hospital in person. In addition, the application requirements are not well communicated, reporting is recorded manually in Excel, and completed documents often accumulate because they remain unclaimed. This study aimed to design an online SKM application interface using the prototyping method, which included user needs identification, design, and evaluation. Data were collected through interviews, observations, and documentation involving medical record officers responsible for SKM services. The results of the study consisted of functional and non-functional requirements, a context diagram (DFD Level 0) and DFD Level 1, a process flowchart, and interface designs for both applicants and officers. The proposed features included application submission, document upload, requirement and payment verification, status tracking, and automated reporting. Two stages of black-box testing showed that all core functions operated as expected and were accepted by the officers after minor revisions. The proposed design is feasible for further development and integration with SIMETRISS to improve accessibility, document completeness, process efficiency, and reporting validity.
Penerapan Fitur PBL E-CRM untuk Meningkatkan User Engagement di Aditya Kursus Putri Oktaviya Siregar; Nasrun Marpaung; Cecep Maulana
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 7 No 2 (2026): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v7i2.242

Abstract

Advancements in information technology have driven the adoption of digital systems across various sectors including non-formal education to support service management and participant relations. This study aims to design and develop a web-based Electronic Customer Relationship Management (E-CRM) system for Aditya Kursus, capable of integrating participant management and service delivery in a more structured manner. A qualitative approach was employed, utilizing data collection methods such as observation, interviews, and literature reviews, while analysis involved interpreting information from diverse sources to determine system requirements and design specifications. The developed system integrates various activities, including participant registration, program and class management, scheduling, assignments, quizzes, attendance tracking, assessment, payment processing, and information dissemination based on user access rights. Additionally, the system incorporates gamification features specifically Points, Badges, and Leaderboards (PBL) where Points are awarded for participant activities, Badges for specific achievements, and Leaderboards based on accumulated Points. The PBL mechanism is designed to provide recognition, feedback, and progress updates, thereby encouraging participants to interact more actively with the system. Black Box Testing demonstrated that the E-CRM's core functions and the PBL mechanism operate according to the designed scenarios. However, this study did not conduct a quantitative user evaluation to measure changes in user engagement. Consequently, the findings indicate that the E-CRM and PBL were successfully implemented to support service management and participant activities, although the effectiveness of PBL in measurably enhancing user engagement requires further evaluation.

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