cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Fristi Riandari
Contact Email
hengkitamando26@gmail.com
Phone
+6281381251442
Journal Mail Official
hengkitamando26@gmail.com
Editorial Address
Romeby Lestari Housing Complex Blok C Number C14, North Sumatra, Indonesia
Location
Unknown,
Unknown
INDONESIA
Jurnal Mandiri IT
Published by Institute of Computer Science
ISSN : 23018984     EISSN : 28091884     DOI : https://doi.org/10.35335/mandiri
Core Subject : Science, Education,
Computer Science & IT Library & Information Science Mathematics
The Jurnal Mandiri IT is intended as a publication media to publish articles reporting the results of Computer Science and related research.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 19 Documents
 1   2 
Search results for , issue "Vol. 14 No. 3 (2026): Jan: Computer Science and Field" : 19 Documents clear
Mapping monthly consumer purchasing patterns at the UNHAN RI Cooperative using time series analysis and LSTM Sigalingging, Miranda Bintang Maharani; Prabukusumo, M. Azhar Prabukusumo; Manurung, Jonson
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.488

Abstract

This study investigated the monthly purchasing patterns of consumers at Koperasi Unhan RI and developed forecasting models to support data-driven inventory and procurement planning. Historical cooperative sales data from 2020–2024 were analyzed using time series decomposition, autocorrelation analysis, ARIMA modeling, and a Long Short-Term Memory (LSTM) neural network. The analysis revealed a clear upward trend and strong annual seasonality, with consistent demand peaks occurring in December. The ARIMA model achieved significantly lower prediction errors than the LSTM model and successfully captured both trend and seasonal components. A 12-month forecast for 2025 was then generated to support operational decision-making. The forecasting results provide practical managerial insights for cooperative management, particularly in optimizing inventory levels, scheduling procurement, and anticipating seasonal demand fluctuations. The novelty of this study lies in the comparative application of classical time-series and deep learning approaches within a cooperative context using limited historical data, demonstrating that ARIMA remains a robust and interpretable solution for small to medium-sized cooperative environments. This research concludes that time series analysis combined with ARIMA forecasting effectively mapped consumer purchasing patterns and produced actionable demand predictions for the subsequent year.
Automated news monitoring and sentiment analysis system using web scraping and large language models Naibaho, Zerusealtin David; Saragih, Hondor
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.492

Abstract

Organizations increasingly require efficient systems to monitor and analyze vast online news data for timely and informed decision making. Manual monitoring is inadequate due to information overload and the time sensitive nature of digital content. This study presents the design, development, and evaluation of an automated web based news monitoring and sentiment analysis system integrating web scraping and artificial intelligence. The system was implemented using the Django web framework with a PostgreSQL database, Playwright browser automation for dynamic content extraction, and Google’s Gemini API for contextual sentiment classification. Three main functions were developed: automated data collection based on keywords and date ranges, AI driven sentiment analysis producing positive, negative, or neutral labels with contextual understanding, and automated reporting with interactive visualizations exportable to XLSX and CSV formats. Functional black box testing confirmed 100% success across 28 test cases, verifying reliability in authentication, data acquisition, sentiment analysis, and visualization. Performance evaluation showed that the system could collect 50–200 articles within 2–4 minutes and process sentiment analysis at 1–2 seconds per article. The proposed system effectively transforms manual workflows into fully automated operations, enabling systematic media monitoring, sentiment tracking, and data driven decision support.
AI-based cyber patrol system for media sentiment analysis on online news regarding the Indonesian Air Force Setyawan, Muhammad Iqbal; Mardamsyah, Adam; Anindito, Anindito; Budiman, Dwi Cahyo
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.497

Abstract

This study presents the development of an adaptive cyber patrol system designed to assist the Indonesian Air Force in monitoring the rapidly changing dynamics of public information. The system aims to detect issues that may influence strategic perception and operational readiness by automatically tracking online news sources across Indonesia. The integrated framework automates the collection, Analysis, and reporting process ranging from identifying viral phrases and performing sentiment Analysis to generating tactical reports for Download. Artificial intelligence techniques are employed to expand keyword coverage, ensure the timeliness of information, and assess the relevance and coherence of collected content. Evaluation results indicate that the system operates reliably and produces well-structured outputs. Overall, this research offers a modular integration of AI, information Analysis, and automated reporting that can be further developed toward predictive and multi-tenant analytics in the future.
A location-based application for public facility damage reporting in Manado City Palilingan, Kenneth; Joshua, Salaki Reynaldo; Lengkong, Salvius
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.502

Abstract

This study presents the design and development of a Location Based Service (LBS)-based public facility damage reporting application for Manado City to address limitations in conventional public reporting mechanisms. The novelty of this research lies in the integration of real-time spatial reporting with the Rapid Application Development (RAD) method, enabling iterative and user-centered prototype development tailored to local government public service workflows. The RAD approach was implemented through iterative stages of requirement analysis, system design, prototyping, and evaluation involving user participation. The developed prototype enables users to submit damage reports with automatic GPS-based location detection, photographic evidence, and report status tracking. Functional evaluation using black box testing showed that all core user-side features operated successfully according to the defined requirements. Scenario-based testing involving six respondents indicated that report submission, location detection, and information display functions executed correctly under normal operating conditions. The results demonstrate that the proposed prototype improves the accuracy of reported locations and simplifies the public reporting process. Overall, this study highlights the potential of integrating LBS technology with the RAD approach to support responsive digital public service management and strengthen community participation in urban infrastructure monitoring within the local context of Manado City.
Minimize shipping costs from multi-warehouse to multi-outlet with VAM and MODI Riandari, Fristi; Zain, Ruri Hartika
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.506

Abstract

Distribution costs are a dominant component in logistics operations, especially in multi-warehouse to multi-outlet delivery schemes involving variations in supply capacity, demand, and route costs. This study aims to minimize shipping costs by modeling the problem as a Transportation Problem (TP), generating an initial solution using Vogel's Approximation Method (VAM), and ensuring an optimal solution using the Modified Distribution Method (MODI). The case study was conducted in one planning period with input data in the form of a matrix of shipping costs per unit, supply capacity per warehouse, and demand per outlet (balanced condition). The results show that the baseline distribution cost is 4,898 (thousand IDR), while the initial VAM solution reduces the cost to 3,777 (thousand IDR). After optimality testing and improvements using MODI, the minimum cost is 3,605 (thousand IDR), with an additional improvement of 172 (thousand IDR) from the VAM solution. Compared to the baseline, the optimal solution provides savings of 1,293 (thousand IDR) or 26.40%, without violating the supply-demand constraint. These findings confirm that the VAM-MODI flow is effective as a fast, audit-friendly, and applicable end-to-end procedure for the preparation of minimum cost delivery plans in logistics companies.
Development of the Kamar Sandi letter agenda information system application in the Pamsisinfosan Pusdatin Kemhan RI Zhafirah, Findi; Prabukusumo, M Azhar; Heikhmakhtiar, Aulia Khamas; Lediwara, Nadiza; Mayuni, Angga Ferdian
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.496

Abstract

This study describes the development of a web based correspondence information application for managing incoming and outgoing letters in the Kamar Sandi unit (Pamsisinfosan Division, Pusdatin Kemhan RI), replacing a legacy Visual Basic desktop system with unreliable database access, single host limitation, no scheduled backups, and a non intuitive interface. This research employs the Rapid Application Development (RAD) method to facilitate iterative prototyping and rapid adaptation to operational requirements. Using a modular Laravel/Livewire + MySQL stack, the application centralizes letter metadata and master data (origin/destination, security degree, communication channel, cryptographic system) and provides automated agenda numbering, role-based access control (Admin, Pimpinan, Petugas), and a secure flow for classified letters via PIN validation and hashed identifiers. Supporting modules include a notification center, activity/audit logs, Excel/PDF export, and scheduled backup–restore with PIN gated downloads. Evaluation results indicate a significant increase in operational efficiency, evidenced by a ~60% reduction in mail recording time and a decrease in data retrieval duration from over 10 minutes to under 5 seconds, with a 100% success rate in eliminating agenda duplication errors. The application operationalizes these findings through granular authorization, input & CSRF validation, gated secret document access, indexed search with multi criteria filtering, and integrated backup–restore enhancing accessibility, retrieval efficiency, and auditability while lowering operational risk. Key contributions are: (1) translating migration pain points into an iterative implementation, (2) embedding security and preservation features at design time, and (3) presenting an evidence aligned functional model for government records management. Future enhancement can add retention policy automation and secure inter agency integration.
Digital archiving using AES-256 encryption and role-based access control to strengthen data security at Pusdatin Fikri, Muhammad Naufal Arits; Sarwoko, Nisrina Labiba; Bimorogo, Sembada Denrineksa; Lediwara, Nadiza; Heikhmakhtiar, Aulia Khamas
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.499

Abstract

The rapid development of digital technology requires organizations, particularly government agencies, to implement robust and reliable data security systems. Data security is critical as the information managed is not only operationally valuable but also strategic and sensitive. The Center for Data and Information (Pusdatin) of the Ministry of Defense of the Republic of Indonesia plays a key role in managing and safeguarding defense-related data used for strategic decision-making. Based on observations and interviews, the existing data security system is considered adequate; however, several technical weaknesses remain, particularly in file management mechanisms and unstructured user access controls, which may lead to risks of data leakage and misuse. Therefore, this study aims to enhance data and file security through the implementation of Advanced Encryption Standard (AES-256) encryption and Role-Based Access Control (RBAC). This research employs the Waterfall method for system development, including analysis, design, implementation, and testing stages. System evaluation is conducted using functional testing and access control validation to assess the effectiveness of the implemented security mechanisms. The results indicate that AES-256 successfully ensures data confidentiality and integrity, while RBAC effectively restricts user access according to predefined roles, thereby reducing unauthorized access risks. The proposed system demonstrates improved data security and management efficiency, supporting a secure, efficient, and sustainable defense information system at Pusdatin The rapid development of digital technology requires organizations, particularly government agencies, to implement robust and reliable data security systems. Data security is critical as the information managed is not only operationally valuable but also strategic and sensitive. The Center for Data and Information (Pusdatin) of the Ministry of Defense of the Republic of Indonesia plays a key role in managing and safeguarding defense-related data used for strategic decision-making. Based on observations and interviews, the existing data security system is considered adequate; however, several technical weaknesses remain, particularly in file management mechanisms and unstructured user access controls, which may lead to risks of data leakage and misuse. Therefore, this study aims to enhance data and file security through the implementation of Advanced Encryption Standard (AES-256) encryption and Role-Based Access Control (RBAC). This research employs the Waterfall method for system development, including analysis, design, implementation, and testing stages. System evaluation is conducted using functional testing and access control validation to assess the effectiveness of the implemented security mechanisms. The results indicate that AES-256 successfully ensures data confidentiality and integrity, while RBAC effectively restricts user access according to predefined roles, thereby reducing unauthorized access risks. The proposed system demonstrates improved data security and management efficiency, supporting a secure, efficient, and sustainable defense information system at Pusdatin
No-code workflow automation for meeting minutes generation using scrum Syafika Zalfanissa Dila; Tundjungsari, Vitri
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.500

Abstract

The increasing frequency of online meetings has intensified the need for efficient and consistent meeting documentation. However, the preparation of meeting minutes is still commonly performed manually, resulting in delayed documentation, inconsistent formats, and increased workload. This study aimed to develop and evaluate a no-code workflow automation system for meeting minutes generation using the Scrum framework. The proposed system integrated a no-code automation platform with an AI-based text summarization service to automatically process meeting transcripts and generate structured meeting minutes consisting of key discussion points, decisions made, and action items. The system was developed using an iterative Scrum-based approach, allowing continuous feedback and refinement throughout the development process. System evaluation focused on efficiency and usability by comparing the automated process with manual documentation. The results showed that the proposed system reduced the meeting minutes preparation time from approximately 30–45 minutes per meeting (manual process) to 2–5 minutes per meeting (automated workflow), while improving consistency and clarity of the output. In addition, the no-code approach enabled non-technical users to operate and maintain the system without requiring programming skills This study demonstrated that combining no-code workflow automation, AI-based text summarization, and agile development practices can provide an effective and practical solution for automating meeting documentation in organizational environments.
Website-Based laboratory management system of UNHAN RI Chemical Laboratory Karomah, Sufi Naylil; Bimorogo, Sembada Denrineksa; Kurniadi, Tedi; Sigalingging, Miranda B.M; Diadra, M. Fadhil; Nasyira, M. Sulthan; Brata, Daffa Mahdy; Ma’ruf, Azzam Amar
Jurnal Mandiri IT Vol. 14 No. 3 (2026): Jan: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i3.503

Abstract

Effective laboratory management plays a crucial role in supporting academic and research activities in higher education; however, many university laboratories still rely on manual recording systems that lead to data inconsistencies, weak inventory control, and limited monitoring of material and equipment usage. These challenges are particularly critical in chemistry laboratories with high-intensity utilization and strict governance requirements, such as those in defense-oriented institutions. This study aims to develop and implement a web-based Laboratory Management System, namely LABUNICA, to improve the efficiency, accuracy, and accountability of laboratory operations in the Chemical Laboratory of Universitas Pertahanan Republik Indonesia. The system was developed using the Rapid Application Development (RAD) method, emphasizing iterative prototyping, direct user involvement, and continuous refinement based on operational feedback. System analysis and design were conducted through interviews, observations, and UML-based modeling, followed by front-end and back-end development and black-box testing. The results indicate that LABUNICA successfully streamlines laboratory workflows, reduces redundancy in usage recording, enhances real-time inventory monitoring, and supports role-based access control for users and administrators. The implementation of LABUNICA improves documentation accuracy, system usability, and operational transparency compared to previous manual practices. This study contributes to the laboratory information system literature by demonstrating the effectiveness of a user-centered, web-based management system tailored to the operational characteristics of a defense university chemistry laboratory, with practical implications for digital laboratory governance in higher education institutions.

Page 2 of 2 | Total Record : 19

 1   2 

Filter by Year

2026 2026


Reset
Filter By Issues
All Issue Vol. 14 No. 3 (2026): Jan: Computer Science and Field Vol. 14 No. 2 (2025): October: Computer Science and Field Vol. 14 No. 2 (2025): Computer Science and Field Vol. 14 No. 1 (2025): July: Computer Science and Field. Vol. 13 No. 4 (2025): April: Computer Science and Field. Vol. 13 No. 3 (2025): January: Computer Science and Field. Vol. 13 No. 2 (2024): CALL FOR PAPER !!! Scope Computer Science Vol. 13 No. 1 (2024): July: Computer Science and Field Vol. 12 No. 4 (2024): April: Computer Science and Field. Vol. 12 No. 3 (2024): January: Computer Science and Field. Vol. 12 No. 2 (2023): October: Computer Science and Field. Vol. 12 No. 1 (2023): July: Computer Science and Field. Vol. 11 No. 4 (2023): April : Computer Science and Field. Vol. 11 No. 3 (2023): January: Computer Science and Field. Vol. 11 No. 2 (2022): October: Computer Science and Field. Vol. 11 No. 1 (2022): July: Computer Science and Field. Vol. 10 No. 2 (2022): January: Computer Science and Field. Vol. 10 No. 1 (2021): July: Computer Science and Field. Vol. 9 No. 2 (2021): January: Computer Science and Field. Vol. 9 No. 1 (2020): July: Computer Science and related. Vol. 8 No. 2 (2020): January: Coputer Science and related. More Issue