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Jurnal Teknik Informatika dan Teknologi Informasi
Published by Lembaga Pengembangan Kinerja Dosen
ISSN : 28279379     EISSN : 28279387     DOI : 10.55606
Core Subject : Science,
Computer Science & IT
Jurnal Teknik Informatika dan Teknik Informasi (JUTITI) adalah jurnal ilmiah peer review yang diterbitkan oleh Politeknik Pratama. Jurnal Teknik Informatika dan Teknik Informasi (JUTITI) terbit dalam tiga edisi dalam setahun, yaitu edisi Februari, Juni dan Oktober. Kontributor Jurnal Teknik Informatika dan Teknik Informasi (JUTITI) berasal dari peneliti, akademisi (dosen dan mahasiswa) di bidang Teknik Informatika dan Teknik Informasi. Jurnal Teknik Informatika dan Teknik Informasi. memiliki fokus dan ruang lingkup yang terdiri dari: Computer Architecture Parallel and Distributed Computer Pervasive Computing Computer Network Embedded System Human—Computer Interaction Virtual/Augmented Reality Computer Security Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods) Programming (Programming Methodology and Paradigm) Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data) Network Traffic Modeling
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 197 Documents
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Klasifikasi Dokumen Publik Berbasis NLP: Otomatisasi Proses Informasi Menuju Keterbukaan Data yang Adaptif dan Transparan Retnowati Retnowati; Veronica Lusiana; Eko Nur Wahyudi
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5693

Abstract

In the era of public information disclosure, digital documents have become strategic assets in supporting transparent, accountable, and participatory governance. Effective management of these documents is essential to ensure that public information services are responsive and accessible. However, document classification tasks carried out by Public Information and Documentation Officers (PPID) still rely heavily on manual processes, which are time-consuming, inefficient, and prone to human error. To address this challenge, this study aims to develop an intelligent classification model for public documents using Artificial Intelligence (AI) and Natural Language Processing (NLP), integrated within the Data Lifecycle Management (DLM) framework. The proposed solution was designed using the Design Science Research (DSR) methodology and implemented through Agile development practices. Evaluation was conducted in a simulated laboratory environment that mirrors real-world PPID operations.The developed model leverages transformer-based architectures, particularly BERT (Bidirectional Encoder Representations from Transformers), and is compared against traditional algorithms such as Naive Bayes and K-Nearest Neighbors (KNN). Experimental results show that the BERT model achieves superior performance, with an accuracy of 89%, precision of 0.88, recall of 0.89, and F1-score of 0.88. These metrics confirm that Transformer-based models are highly effective for classifying public documents into categories of information accessibility: available at all times, periodic, immediate, and exempted from disclosure.This research highlights the potential of AI-powered classification to streamline public information services, reduce workload, and enhance compliance with information disclosure laws. The findings support national development priorities such as RPJMN 2025 by contributing to digital transformation in the public sector. The study also provides a replicable framework for other government agencies aiming to implement adaptive and transparent document classification systems.
Perancangan Sistem Informasi Jadwal Pertandingan Bola Basket Berbasis Web pada Perbasi Kabupaten Serang Rimasya Ayu Jaeningsih; Selly Septiani; Ananda Saskira
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5719

Abstract

The development of information technology has significantly impacted various sectors of life, including sports. In Serang Regency, basketball is a popular sport and frequently hosts competitive tournaments. However, the management and publication of match schedules is still done manually. This manual process is considered ineffective because it takes longer, has the potential to lead to misinformation, and makes it difficult for organizers and participants to obtain schedule data quickly and accurately. Based on these issues, this research aims to design and build a web-based basketball match schedule information system that is easily accessible to all parties involved, including organizers, participants, and the general public. This system is expected to make match schedule management more efficient, structured, and transparent. The research methodology included direct observation of the schedule management process, interviews with organizers, literature review related to sports information systems, and system development using the Waterfall model. This model encompasses the stages of systems engineering, requirements analysis, system design, coding, testing, and maintenance. The system was built using the PHP programming language and a MySQL database, enabling it to store, manage, and display match schedule information in real time. The system can be accessed through any internet-connected device, such as a computer, laptop, or smartphone. The research results are a web-based application that facilitates organizers in managing match schedules effectively and minimizes the risk of misinformation. Furthermore, this research is expected to contribute to the development of information systems in the field of sports, particularly basketball, and serve as a reference for similar research in the future.
Sistem Informasi Manajemen Rusunawa Politeknik Negeri Bengkalis Menggunakan Metode Scrum Sofia Randa; Muhammad Asep Subandri
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5723

Abstract

This study focuses on the development of a multiplatform management information system for Rusunawa (student dormitory) at Politeknik Negeri Bengkalis to address inefficiencies in the current manual system, which relies on Google Forms for registration and Microsoft Excel for resident data management. The existing approach presents several limitations, including slow data processing, difficulties in tracking and monitoring rental payments, and limited transparency in administrative processes. These issues often lead to delays, errors, and reduced satisfaction among both residents and administrators. To overcome these challenges, the proposed system was developed using the Scrum methodology, an agile software development framework known for its iterative, adaptive, and user-centered approach. The Scrum process allowed continuous feedback from stakeholders and regular refinement of system features to align with evolving needs. Key functionalities integrated into the system include resident registration, room rental management, centralized resident data storage, online payment processing, facility complaint submissions, and an automated notification system for both administrators and residents.and evaluation of the system demonstrate significant improvements in operational efficiency. The digital platform enables faster and more accurate processing of resident registrations and room rentals, as well as real-time tracking of payments. The online payment feature reduces manual transaction errors and facilitates timely payment confirmation. The facility complaint module ensures better communication between residents and management, while the notification system provides timely updates to all parties. Overall, the implementation of this information system enhances transparency, minimizes administrative workload, and improves service quality. Students benefit from an easier, faster, and more accessible process for renting rooms and making payments, while administrators gain a structured and efficient tool for data management and operational monitoring. This study highlights the potential of agile-based digital solutions to transform traditional administrative systems in higher education housing management.
Analisis Kebutuhan dan Perancangan Sistem Informasi Seleksi Perangkat Desa : Studi Kasus : Desa Kaleng Kec. Puring, Kab. Kebumen Imam Tri Suryadin; Aang Anwarudin; Lazuardi Fatahilah Hamdi
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5728

Abstract

This research focuses on the analysis and development of a web-based information system designed to support the selection process of village officials in Kaleng Village, Puring District, Kebumen Regency. The study aims to create a system that ensures transparency, accountability, and efficiency in the recruitment process, which has traditionally been conducted manually and prone to errors. The system development method follows the Waterfall model, consisting of four main stages: requirement analysis, system design, implementation, and testing. Data for system requirements were collected through interviews with stakeholders, direct observations of the existing manual process, and document studies of administrative procedures and regulations. The system developed provides several core modules to support the recruitment process, including user registration, administrative selection, written test stages, and final announcement features. Each module is designed to align with the operational needs of the village government while also incorporating mechanisms to reduce potential bias and increase accountability. The registration module simplifies the submission of applicant data, while the administrative selection module verifies eligibility criteria. The written test stage allows standardized evaluation of candidates, and the announcement module ensures that results are communicated transparently and fairly to all participants. The implications of the research indicate that the system can significantly reduce manual errors, minimize administrative inefficiencies, and strengthen public trust in the recruitment process at the village level. Furthermore, the web-based design enables accessibility for both applicants and administrators, ensuring that information is easily available and verifiable. This study concludes that the implementation of a web-based information system for village official selection represents a strategic step toward modernizing local governance processes, fostering transparency, and promoting accountability in rural administration.
Penerapan Metode Extreme Programming (XP) Dalam Membangun Aplikasi Penjualan Produk BUMDES Teluk Latak Berbasis Mobile Bella Kurnia Amellia; Muhammad Asep Subandri
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5730

Abstract

Village-Owned Enterprises (BUMDes) are a crucial instrument in village economic development, serving as a vehicle for managing local potential and driving the independence of village communities. However, in practice, many BUMDes still face challenges, particularly in terms of marketing management and transaction recording, which are still carried out manually. This condition also occurs in the Teluk Latak BUMDes, where the limitations of the manual system result in inefficient marketing processes, poorly documented transaction recording, and limited market reach. In response to these challenges, this study aims to design and build a mobile-based BUMDes product sales application that can support business activities in a more modern and integrated manner. The system development method used is Extreme Programming (XP), a software engineering approach oriented towards rapid iteration, close collaboration with users, and continuous testing. The stages in the XP method, such as planning, design, coding, and testing, are systematically applied to ensure the developed application meets user needs. The resulting application is equipped with product management features, online ordering, digital payments, and real-time transaction notifications. System testing was conducted using the Black Box Testing method, which showed that all application functions ran according to requirements and no errors were found during the trial. With this mobile-based sales application, BUMDes is expected to improve transaction management efficiency, expand market access through digital services, and strengthen the competitiveness of local products. Furthermore, the application's implementation has the potential to support sustainable village economic development through the use of information technology.
Analisis Sentimen Terhadap Opini Publik Tentang Kebijakan Regulasi Kripto Di Indonesia Menggunakan Metode Regresi Logistik Nazka yasidi; Rendra Gustriansyah; Lastri Widya Astuti
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5733

Abstract

This study investigates public sentiment toward cryptocurrency regulation policies in Indonesia by employing a logistic regression approach on social media data. A total of 300 Indonesian-language tweets were collected from platform X between January 2022 and April 2025 through a web scraping method using targeted keywords related to cryptocurrency payment regulations. Data preprocessing included text cleaning, case folding, stemming with the Sastrawi library, stopword removal, and tokenization, followed by feature extraction using TF-IDF. Sentiment labels were manually assigned in collaboration with legal experts to ensure classification accuracy. The logistic regression model achieved strong predictive performance, with 91.67% accuracy on the test set and stable results across K-Fold Cross Validation, yielding an average accuracy of 92–93%. The sentiment analysis revealed that the majority of public opinion expressed positive sentiment (85%), while negative sentiment represented only 15%. Positive sentiment was primarily associated with terms such as “protect,” “regulate,” “benefit,” and “legality,” highlighting public support for regulatory measures that enhance investor protection and provide legal certainty. Conversely, negative sentiment featured terms including “forbidden,” “restrict,” and “obstruct,” which reflected concerns regarding regulatory barriers and religious considerations surrounding cryptocurrency usage. The findings demonstrate that Indonesian society generally perceives cryptocurrency regulation as a constructive initiative toward building a secure and trustworthy digital asset ecosystem. Furthermore, the empirical evidence contributes to the growing literature on public perception of financial technology regulations in developing countries. For policymakers, the results emphasize the importance of transparent communication and balanced regulatory frameworks to maintain public trust while addressing potential risks. Overall, this research provides valuable insights into how sentiment analysis can inform the design of more effective regulatory strategies in the evolving landscape of digital finance.
Sertifikasi Halal Mempengaruhi Peningkatan Daya Saing UMKM di Jakarta Fajar Julian Azhari; Novianti Rachmayani; Irwan Aufi
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5739

Abstract

This study aims to analyze the impact of the mandatory halal certification policy on improving the competitiveness of Micro, Small, and Medium Enterprises (MSMEs) in the Jakarta area. This study was conducted using a qualitative approach through a literature review of various scientific publications relevant to the topic. The scope of the study includes regulatory aspects related to halal certification, the level of readiness of MSMEs to meet the established requirements, and its impact on market accessibility and consumer trust. The findings of this study indicate that the implementation of mandatory halal certification has positively contributed to strengthening product image, expanding the market, and increasing the added value of MSME products, particularly those operating in the food, beverage, and cosmetics sectors. Halal certification not only provides assurance for Muslim consumers but can also be attractive to international markets that require similar standards. This indirectly encourages MSMEs to improve the quality of their production and business governance. However, the implementation of this policy still faces several obstacles. Some MSMEs do not yet understand the urgency and benefits of halal certification. Furthermore, the lack of tangible consequences for businesses that have not yet obtained certification leads to low compliance. High certification costs and complicated administrative procedures are also major obstacles, particularly for MSMEs with limited resources. Based on the analysis, it can be concluded that the mandatory halal certification policy has significant potential to boost MSME competitiveness, all supported by a sustainable training strategy, adequate technical assistance, digitalization of the certification process, and affirmative action policies that favor the small and micro business sector. Therefore, synergy between the government, certification bodies, and MSMEs is key to optimizing the implementation of this policy.
Tren dan Perkembagan Supervised versus Unsupervised Learning Muhammad Naufal Ammr Dzakwan; Fadillah Dani Prawoto; Ahmad Nur Ihsan Purwanto
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5742

Abstract

The rapid development of artificial intelligence (AI) in the last decade has driven the widespread adoption of machine learning in various sectors, from healthcare and finance to manufacturing and education. Two main approaches dominate: supervised and unsupervised learning. Supervised learning leverages labeled data to build predictive models with high accuracy and strong generalization capabilities, but its application is often hampered by the need for expensive, time-consuming, and error-prone labeling processes. In contrast, unsupervised learning operates on unlabeled data to identify latent patterns, clustering, and novel data representations. This approach excels in large-data scale and exploration efficiency, but faces challenges in interpreting results, validating performance, and implementing them in real-world systems. This article presents a recent literature review (2020–2024) based on searches in Scopus, IEEE Xplore, and Google Scholar using the keywords “supervised learning,” “unsupervised learning,” “machine learning trends,” and “hybrid approaches.” The results show a significant trend toward integrating hybrid approaches such as semi-supervised learning, self-supervised learning, and a combination of transfer learning approaches, aiming to overcome the limitations of each paradigm. Furthermore, research gaps were identified regarding the need for robust evaluation methods for unsupervised learning, the development of adaptive models for dynamic data, and increased transparency in the learning process. Critically, this article highlights the importance of an interdisciplinary approach in designing hybrid algorithms that are not only efficient and accurate, but also interpretive and reliable for data-driven decision-making. Recommendations for future research directions focus on the creation of a standardized evaluation framework, the integration of AI with edge computing technology, and the exploration of the potential of hybrid learning in the context of real-time data.  
Sistem Pendukung Keputusan Pemilihan (SPK) Jurusan pada Perguruan Tinggi Menggunakan Metode Simple Additive Weighting (SAW) Dela Novita; Lidya Wati
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5750

Abstract

Choosing a college major is a crucial decision that significantly impacts a student's future. This decision not only affects the academic path they will take but also their career and life in the future. A wrong choice of major can lead to a mismatch between a student's abilities and interests with the selected program, resulting in academic difficulties and financial waste. Therefore, it is essential for students to choose a major that aligns with their interests, talents, and other criteria such as tuition fees, accreditation, and career prospects after graduation. This study aims to assist students in the college major selection process by developing a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method. The SAW method was chosen for its ability to rank alternatives based on the relevant criteria's weights, thus helping students make objective and efficient decisions. The research was conducted using the Rapid Application Development (RAD) approach, which includes four main stages: planning, design, coding, and testing. In the planning stage, system requirements were identified through interviews with students and document analysis. The design stage involved developing the SAW algorithm to provide recommendations for majors based on the weights of the selected criteria. The criteria used included tuition fees, program accreditation, career prospects, and alignment with the student's interests. After that, the coding stage implemented the system using an appropriate programming language. In the testing stage, the system was tested to ensure the recommendations provided were accurate and met expectations. The results showed that the system was effective in providing appropriate major recommendations through the ranking of relevant criteria. With this system, students can make their college major decision more objectively, quickly, and efficiently, thus reducing the risk of making wrong decisions.
Perancangan Prototipe Media Konsultasi Berbasis Artificial Intelegence dalam Meningkatkan Efektifitas Magang Internasional di Sektor Hospitality Ida Ayu Wintari Dewi; Made Budiarsa; Putu Herny Susanti
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5770

Abstract

The research entitled "Designing an Artificial Intelligence-Based Consultation Media Prototype to Increase the Effectiveness of International Internships in the Hospitality Sector" aims to produce a consultation media prototype that utilizes artificial intelligence technology as a means of mentoring for internship candidates. This research uses a descriptive qualitative method with a case study approach at PT. Ama Kodya, where data is obtained through observations of 200 prospective participants, interviews with two expert sources representing the fields of information technology and graphic design, and documentation. In its design, the research combines Natural Language Processing (NLP) theory to develop the ability of artificial intelligence to understand and respond to human language, with User Experience (UX) theory that focuses on designing user interfaces to be easier, more comfortable, and more interactive. The results show that an NLP-based chatbot is the most suitable form of AI to meet the needs of this consultation media, because the chatbot is able to convey information, directions, and guidance in an interactive, contextual manner, and adapts its communication style to the user's condition. The chatbot can only be accessed through the official website of PT. Ama Kodya so that its security is guaranteed and can be controlled according to company standards. The research findings also formulated a systematic design model that can be used as a guideline in developing similar digital consultation media in the future. Based on the study results, it was concluded that an AI-based chatbot with an NLP and UX approach was proven to be able to improve participant readiness in participating in international internship programs, provide a personalized and adaptive consultation experience, and can support the creation of an effective, efficient, and user-friendly consultation service program, thereby strengthening the quality of internship programs in the hospitality sector as a whole.

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