cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Muhammad Wali
Contact Email
muhammadwali@amikindonesia.ac.id
Phone
+6285277777449
Journal Mail Official
ijsecs@lembagakita.org
Editorial Address
Jl. Teuku Nyak Arief No. 7b 23112, Kota Banda Aceh, Banda Aceh, Provinsi Aceh
Location
,
INDONESIA
International Journal Software Engineering and Computer Science (IJSECS)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : 27764869     EISSN : 27763242     DOI : https://doi.org/10.35870/ijsecs
Core Subject : Science,
Computer Science & IT
IJSECS is committed to bridge the theory and practice of information technology and computer science. From innovative ideas to specific algorithms and full system implementations, IJSECS publishes original, peer-reviewed, and high quality articles in the areas of information technology and computer science. IJSECS is a well-indexed scholarly journal and is indispensable reading and references for people working at the cutting edge of information technology and computer science applications..
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 284 Documents
 24   25   26   27   28 
Hands-Free Video Player: Enhancing Accessibility with Voice-Controlled Navigation Karthika, V.; Siva Ganesh, A.
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4100

Abstract

The research develops a technology-driven solution to enhance Over-The-Top (OTT) services for Smart TVs by leveraging advanced speech recognition, video analysis, and natural language processing technologies. The system incorporates TransNetV2 for AI-based scene boundary detection, Porcupine for hotword detection, and cutting-edge Automatic Speech Recognition (ASR) engines including Vosk, Whisper, and DeepSpeech for real-time speech-to-text conversion. Natural Language Processing (NLP) employs BERT and spaCy to interpret user intent and temporal commands from spoken instructions. Video content undergoes processing through FFmpeg and OpenCV for frame manipulation and visualization, while implementing intelligent content classification and scene understanding via YOLO and ResNet. The platform architecture combines Flutter for cross-platform deployment across Smart devices with a Python Flask backend ensuring seamless module integration and operational functionality. Testing results demonstrate the system's capability to execute real-time, hands-free media control while delivering an intuitive and accessible user experience for contemporary OTT applications.
Performance Analysis of NoSQL Databases: MongoDB Document Store and Redis Key-Value Store in Microservices-Based Applications Using Flask Andali, Dava Ataya Shafi; Susetyo, Yeremia Alfa
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4206

Abstract

The research examines performance characteristics between two NoSQL database architectures: MongoDB as a document-oriented system and Redis as an in-memory key-value store, implemented within microservices applications developed using Flask framework. Growing enterprise requirements for scalable, high-performance systems drive increased adoption of NoSQL databases paired with microservices architectures. The investigation assesses database performance through systematic CRUD and aggregation operations executed on nested data structures that mirror real-world public transportation datasets. Redis demonstrates superior operational efficiency in real-time scenarios, attributed to its memory-resident architecture. Empirical findings reveal Redis maintains consistently reduced response latencies compared to MongoDB across virtually all tested operations. Read operations show Redis achieving 0.00037-second average execution times, representing a 60.22% performance improvement over MongoDB's 0.00093-second baseline. Read-by-ID queries exhibit more pronounced differences, with Redis completing operations in 0.00105 seconds against MongoDB's 0.00873 seconds—an 87.96% performance differential. Update and delete operations demonstrate Redis execution times of 0.00026 and 0.00028 seconds respectively, compared to MongoDB's 0.00088 and 0.00087 seconds, yielding approximately 70% and 68% performance advantages. Delete-all operations reveal substantial disparities: Redis completes bulk deletions in 0.083 seconds while MongoDB requires 0.27 seconds, representing a 69.26% performance penalty. Aggregation functions including summation, minimum, and maximum value calculations follow similar performance patterns, with Redis executing operations more efficiently across all test scenarios. Performance evaluations were conducted on Windows 10 Pro 64-bit (Build 19045) equipped with 15.8 GB memory and an 11th Generation Intel® Core™ i5-11400H processor featuring 6 cores and 12 threads. Testing utilized MongoDB version 1.45.4 and Redis version 2.66, with hardware specifications directly influencing benchmark outcomes. Results indicate Redis optimization for applications demanding high-performance real-time data access, while MongoDB serves applications requiring flexible document storage capabilities and complex data structure management.
Digital Transformation of Toko Susu Bahagia: Implementing an E-Commerce System Using the Waterfall Method Putri, Tiara Ariyanto; Fadlurohman, Rizky; Zahir, Rafi Hilal; Valenza, Ihsan Lana; Nasir, Muhammad; Wicaksono, Aditya
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4263

Abstract

The acceleration of information technology advancement necessitates digital system adoption among SMEs to maintain market competitiveness. Toko Susu Bahagia faced operational inefficiencies in inventory management and transaction documentation through manual processes. This research developed a customized e-commerce solution implementing the Waterfall methodology, progressing systematically through requirement analysis, design, implementation, and verification phases. The system architecture utilized PHP (Laravel) framework with MySQL database integration, incorporating essential functionalities: inventory control, order status monitoring, product expiration notifications, and sales analytics. Verification through Black Box Testing yielded a 98% functionality success rate, validating system dependability. Technical obstacles encountered during development included insufficient data validation protocols and limited digital proficiency among users, which were addressed through simplified interface design and enhanced validation mechanisms. The research establishes the practical effectiveness of user-oriented system architecture for small retail enterprises. Operational performance improved through error reduction in manual processes, instantaneous inventory visibility, and expanded market access. The implementation indicates sustained advantages for business growth capacity and technological preparedness. Subsequent research directions may investigate payment gateway integration, language localization capabilities, and responsive design optimization to enhance system versatility.
Application of the Waterfall Methodology in the Development of the Emcotoys System Yeza, Mia Putri; Alfrida, Marsya Halya; Saputra, Fauzi Adi; Susanto, Capriandika Putra; Ramdani, Anka Luffi; Wicaksono, Aditya; Mindara, Gema Parasti
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4270

Abstract

Internet technology evolution has catalyzed transformative shifts across industries, reshaping digital business operations. This research examines EmcoToys, a hypothetical toy industry case, demonstrating web application development for market expansion and product promotion enhancement. The study applied the Waterfall methodology to design and construct a website through sequential phases: requirements gathering, system design, implementation, verification, and maintenance planning. Requirements analysis distinguished between functional and non-functional specifications, while the design phase utilized Entity Relationship Diagrams and use case modeling alongside low-fidelity interface prototypes. The implementation phase leveraged Laravel and Bootstrap frameworks for front-end architecture, with SQL managing database operations. Verification procedures through black box testing validated all system functionalities with complete success rates. The maintenance strategy prioritized content management accessibility and sustainable technical architecture through contemporary frameworks. This research advances existing literature by applying the Waterfall model specifically to toy industry e-commerce development, addressing a notable research gap. The resulting system delivers measurable advantages to EmcoToys: streamlined operational workflows, expanded product market visibility, and optimized user interactions. From a practical standpoint, this work provides a structured framework for companies undertaking similar digital initiatives. Theoretically, the findings affirm the continued applicability of the Waterfall methodology for projects with well-defined parameters and moderate complexity. The project addressed inherent challenges, including restricted user input during initial development stages and database structural inconsistencies, through systematic design refinements and collaborative testing protocols. These strategic adjustments facilitated the delivery of a robust, accessible, and sustainable system aligned with organizational requirements.
The Correlation Between Topographic Characteristics and the Thickness, Elemental Accumulation of Ni, Fe, and MgO, as well as the Distribution Pattern of Laterite Deposits: Using the 2D Inverse Distance Weighting (IDW) Method in Wolo District, Kolaka Regency, Southeast Sulawesi Province Langkoke, Rohaya; Alimuddin, Ilham; Thamrin, Meinarni; Suad, Muhammad Mozart
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4282

Abstract

The research area is administratively located within the PIT Z area of PT. Ceria Nugraha Indotama's mining permit (IUP) in Wolo District, Kolaka Regency, Southeast Sulawesi Province. This study examines the correlation between topographic features and laterite deposit characteristics in the study region. The research methodology incorporated fieldwork, data processing using ArcMap 10.8 and Surpac 6.3 software, and laboratory analyses including petrographic and geochemical examinations. Analysis revealed two primary topographic features in the research area: steep hills and undulating hills. Steep hill topography exhibited high concentrations of MgO compounds and relatively thin laterite deposits. Conversely, undulating hill topography demonstrated optimal laterite deposits characterized by thicker laterite horizons and elevated Fe and Ni content. The distribution pattern of laterite deposits throughout the study area indicates that slope gradient significantly influences water drainage, which serves as the principal medium for the lateritization process, thereby establishing a direct relationship between topographic features and laterite deposit profiles.
Usability Evaluation of the Railfood Feature in the Access by KAI Application Using System Usability Scale Method and Factor Analysis Nisa, Farah Aulia; Khudori, Ahsanun Naseh; Kusuma, Wahyu Teja
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4361

Abstract

This study assesses the Railfood feature in the Access by KAI application through System Usability Scale (SUS) methodology and factor analysis. Railfood allows train passengers to order meals online during travel, representing PT Kereta Api Indonesia's move toward digital service integration. Quantitative data from 400 users who accessed the feature within three years revealed a SUS score of 73.5 (Grade C), indicating moderate performance. Satisfaction ranked highest among measured factors, suggesting users found the interface approachable, while efficiency scored lowest due to the initial learning requirements. The gap between these factors points to specific improvement areas: simplifying navigation paths, adding visual cues, and implementing brief tutorials. Such adjustments would likely reduce user adaptation time while maintaining the satisfaction already achieved. The research offers practical value for mobile service development in transportation settings where users operate under time constraints and varying connectivity conditions. Results demonstrate how targeted usability evaluation can identify actionable refinements in transit-based digital services.
An Analysis of Digital Queuing Systems in Indonesian Banking Services: A Systematic Literature Review Tesa, Carrina A.; Haris, M. Syauqi; Kusuma, Wahyu Teja
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4379

Abstract

Queue systems play pivotal roles in banking services, affecting both operational effectiveness and client satisfaction. The issue of long waiting times and unequal distribution of services across all regions of Indonesia remains a significant issue. Using the PRISMA methodology to perform a systematic literature review (SLR), this research investigates the last 5 years of 25 digital queue management academic works. The selection process to narrow this down began with the Sinta and Garuda databases, although more from Scopus were used to validate the research. The research indicates that identified technologies, such as online queue systems, self-service kiosks, and reservation systems, can improve customer satisfaction and experience by greatly decreasing waiting times. However, the majority of the observations are based on theoretical models or narrow case studies, leading to doubts regarding the generalizability of their findings. The effectiveness of the solutions proposed is highly dependent on the region's infrastructure as well as the users' capacity to utilize the available technology. The integration of queue theory and process simulation provides a foundational approach to the design of systems with improved efficiency. However, there are still significant obstacles to overcome: deficient digital infrastructure, low levels of technological literacy, and poorly integrated systems. Sufficient, systematic responses are required to these issues, as well as more localized systematic studies, to improve queue management systems in the context of the Indonesian banking sector.
Student Data Visualization of Metro City Using Google Looker Studio Pamungkas, Galih Putra; Saprudin, Usep
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4396

Abstract

Metro City educational landscape encompasses over 50,000 students across multiple institutional levels, yet systematic enrollment pattern analysis remains underdeveloped. Gender disparities and uneven institutional distribution challenge educational planners seeking evidence-based policy solutions. Our research examined student enrollment data from Metro City Education Department for the 2025/2026 academic year, focusing on gender balance and institutional representation across KB, TK, SD, SMP, SMA, SMK, and SLB schools. Using descriptive quantitative methodology, we processed secondary data through spreadsheet applications before implementing Google Looker Studio visualization. The platform transformed numerical datasets into interactive dashboards featuring bar charts, pie diagrams, and filterable tables accessible to non-technical stakeholders. Analysis revealed unexpected findings challenging conventional gender imbalance assumptions. Rather than anticipated male dominance, data showed near-equal gender distribution (55% male, 45% female) across 64 institutions serving 14,298 students. However, enrollment concentration became apparent when SMP Muhammadiyah Ahmad Dahlan Metro accounted for 50% of total student population, potentially skewing statistical interpretation. Educational staff demographics differed significantly, with female educators outnumbering males 2:1, suggesting professional preference rather than access barriers. Google Looker Studio demonstrated practical effectiveness for real-time data processing, enabling rapid information retrieval and policy formulation support. Research limitations include single-year scope without longitudinal analysis or socio-economic variables. Future investigations should incorporate historical perspectives and predictive modeling. The visualization platform successfully addressed research objectives, providing Metro City education leadership with actionable insights for policy development and resource allocation strategies.
Evaluation of the Effectiveness of P-SIGN Digital Signature Application Using Technology Acceptance Model (TAM) Approach at PT Pertamina Patra Niaga Regional South Sumatra Juwita, Ratna; Syazili, Ahmad
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4403

Abstract

This study analyzes how employees at PT Pertamina Patra Niaga Sumbagsel accept and use the P-SIGN digital signature platform through Technology Acceptance Model (TAM) analysis. Results show that P-SIGN usage aligns with Pertamina's digital transformation goals while supporting environmental initiatives by decreasing paper and ink consumption. Validity testing across variables X1, X2, X3, and Y1 confirmed all items as valid, with calculated r-values surpassing the table r-value (0.273). Reliability assessment yielded a Cronbach's Alpha of 0.821, demonstrating strong measurement consistency. The normality test produced an L-value of 0.220, exceeding the 0.05 significance threshold, verifying normal data distribution. While users generally responded favorably to P-SIGN, insufficient training created knowledge gaps about application features among certain staff members, potentially affecting their perception of usability. The study suggests strengthening internal education programs to maximize technology adoption rates across the organization
Digital Campaign Performance Analysis: A Case Study of TikTok Channel Addition and Influencer Utilization for Cafes in Malang City Erawati, Mourryn Galuh; Haris, M. Syauqi; Khudori, Ahsanun N.
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4459

Abstract

The digital revolution has transformed how brands connect with their audiences, making social media platforms essential tools for building strong relationships. Instagram and TikTok play crucial roles in boosting user engagement, particularly among active users who have integrated these platforms into their daily lives for both information seeking and entertainment purposes. Our study examines how digital strategies can drive engagement rate improvements across social media channels, focusing on creative content usage and channel selection that matches target audience characteristics. We employed quantitative methodology through direct observation of interaction indicators including views, likes, comments, shares, and saves. Performance analysis compared social media metrics before and after digital strategy implementation. As a case study, we analyzed Kogu Cafe, a culinary business that began implementing visual content strategies, expanding distribution channels through TikTok, and establishing collaborations with local influencers. Results demonstrate substantial engagement rate increases. On Instagram, user involvement grew from approximately 1.5% to over 5% within three months. Meanwhile, TikTok achieved peak performance in April with an engagement rate of 5.42%. Influencer collaborations with Khuril and Bibilcu also generated positive impacts, producing engagement levels of 7.20% and 5.79% respectively. These findings indicate that well-structured digital strategies adapted to audience behavior patterns can deliver measurable impacts on social media performance.

Page 26 of 29 | Total Record : 284

 24   25   26   27   28 

Filter by Year

2021 2025


Reset
Filter By Issues
All Issue Vol. 5 No. 3 (2025): DECEMBER 2025 Vol. 5 No. 2 (2025): AUGUST 2025 Vol. 5 No. 1 (2025): APRIL 2025 Vol. 4 No. 3 (2024): DECEMBER 2024 Vol. 4 No. 2 (2024): AUGUST 2024 Vol. 4 No. 1 (2024): APRIL 2024 Vol. 3 No. 3 (2023): DECEMBER 2023 Vol. 3 No. 2 (2023): AUGUST 2023 Vol. 3 No. 1 (2023): APRIL 2023 Vol. 2 No. 2 (2022): OCTOBER 2022 Vol. 2 No. 1 (2022): MAY 2022 Vol. 1 No. 2 (2021): AUGUST 2021 Vol. 1 No. 1 (2021): APRIL 2021 More Issue