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Journal of Informatics Management and Information Technology
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27744744     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Informatics Management and Information Technology, memiliki kajian pada bidang: 1. Manajemen Informatika, 2. Sistem Informasi, dan 3. Teknologi Informasi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 138 Documents
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Kombinasi Metode ARAS dan ENTROPY dalam Pemilihan Peserta Lomba Cerdas Cermat Tingkat Kabupaten Lira Arum Kusumaning Thyas; Intan Meutia Sari
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.693

Abstract

Decision Support System (SPK) is one of the systems that can help someone in making an accurate decision and can be right on target. Many problems can be solved using SPK. Decision Support Systems (DSS) are usually used to support a problem or for an opportunity. Decision Support System applications are usually used in making a decision. The additive ratio assessment method (ARAS) is a method used for ranking criteria, and entropy is a method that can be used in finding weights.
Design and Development of a Student Assessment Application Based on Android Using the Waterfall Model Muhammad Zulfikar Sachori Putra
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.694

Abstract

SD Negeri Samudra Jaya 01 in Kramat Village, Tarumajaya Subdistrict, Bekasi, implements the 2013 curriculum and currently assesses students using Excel. However, manual data processing and no integrated system slow the process and increase errors. Motivated by these limitations, this research developed an Android?based student assessment application with Java and XML in Android Studio. It employs a MySQL database on Serv00.com with PHP?APIs and JSON. UML diagrams ensured a structured system architecture, while development followed the Waterfall methodology and the interview method with the school principal and teachers. Functionality was validated with BlackBox testing, achieving a 99.8% data accuracy rate, API response times under two seconds, and 92% teacher satisfaction during User Acceptance Testing. AES encryption secures both data at rest and in transit, ensuring enhanced security and compliance with the 2013 curriculum. Compared to the previous spreadsheet?based system, the app reduced administrative workload by 40%, enabling teachers to input grades, calculate scores, generate automated reports, and share results via smartphones before report card distribution. Stakeholders now enjoy instant digital access to student progress. The app also provides dynamic reporting dashboards and mobile notifications, filling gaps in existing systems that lack real?time reporting and mobile integration. Data collection involved literature review, observation, and staff interviews. Overall, the application streamlines grading processes, ensures real?time updates, and significantly improves accuracy and efficiency.
Penerapan VLAN pada VAP Menggunakan Mikrotik CAPsMAN untuk Manajemen Bandwidth Berbasis PCQ Satria, Devit; Desyanti
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.696

Abstract

This study uses the Network Development Life Cycle (NDLC) method to design and test a Mikrotik-based wireless network system in a fast-food restaurant environment. The system integrates CAPsMAN, Virtual Local Area Network (VLAN), Virtual Access Point (VAP), and Per Connection Queue (PCQ) technologies to create a centrally managed and efficient network. Two separate SSIDs are configured for internal Employee and external Consumer users, each allocated 7 Mbps and 13 Mbps of bandwidth out of a total of 20 Mbps. Test results show that the system is able to divide bandwidth fairly, assign IP addresses according to VLAN segments, and implement a time-based hotspot login for 1 hour. Connection success reached 100% without IP conflicts or traffic dominance. These results prove that the combination of CAPsMAN, VLAN, VAP, and PCQ is effective in dense user environments with temporary access needs.
Rancangan Sistem Informasi Berbasis Web dengan Metode Rapid Application Development (RAD) Pada Perpustakaan Sekolah Menengah Kejuruan Bachtiar, Yusuf
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.697

Abstract

The library information system plays a crucial role in supporting academic activities and literacy in educational institutions, including SMK Negeri 1 Babelan. Efficient management of member data, books, borrowing, and returns poses a major challenge when a manual system is still used, as is the case in this school library. This situation slows down the library's workflow and reduces student interest in visiting the library due to the perceived slow performance. The difficulty in locating books on the shelves, the availability of necessary books, and so on often lead to situations where students find that their needs cannot be met when they arrive. The role of information systems in various aspects, including libraries, gives them a competitive advantage. This research develops a desktop library application to facilitate data management from borrowing, returning, book searching, to member administration, aiming to improve operational efficiency and assist staff in daily tasks. The Rapid Application Development (RAD) method was chosen for its quick and iterative development, involving users at every stage. It begins with needs analysis, prototype creation, followed by testing and continuous refinement. This research also aims to simplify the library operating system, which has so far been done manually. The results of Blackbox testing and the outcomes of the program testing show that all functionalities of the buttons and menus on the website are functioning well with an average score of 4.55 from both validators, which falls into the 'very good' category.
Rancang Bangun Aplikasi Pembukuan Koperasi Simpan Pinjam Berbasis Web Menggunakan Metode Extreme Programming I Komang Yoga Gangga Putra; I Nyoman Yudi Anggara Wijaya; Anak Agung Gede Adi Mega Putra
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.698

Abstract

The development of digital technology has significantly impacted the efficiency of financial management, including in savings and loan cooperatives. However, the Bali Provincial Health Department Cooperative still faces challenges such as manual bookkeeping, which is prone to errors, delays in data processing, and difficulties in presenting accurate financial reports. This study aims to design and implement a web-based accounting application using the Laravel framework and MySQL database to automate loan calculations, data storage, and real-time report generation. The system development adopts the Extreme Programming (XP) methodology, which emphasizes short iterations, intensive user communication, continuous testing, and the application of simple design principles to ensure software quality. Testing results indicate that the application can reduce bookkeeping errors, accelerate report generation, and provide cooperative members with quick and accurate access to financial information. The contribution of this study is to offer a digital solution that enhances accuracy, efficiency, and transparency in cooperative financial management, while also supporting the development of local microenterprises.
Pemodelan dan Prediksi Tingkat Pengangguran Menggunakan Pendekatan Hibrida GARCH dan BSTS Priyatna, Ade; Eva Zuraidah; Besus Maula Sulthon; Oky Kurniawan
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.699

Abstract

This study aims to understand and predict the unemployment rate patterns based on educational background in Indonesia between 1986 and 2024, with a focus on university graduates. The data, which was initially complex, was successfully processed into a format ready for time series analysis, and the GARCH (Generalized Autoregressive Conditional Heteroskedasticity) model was applied to measure the volatility of unemployment. The evaluation results show that the GARCH model's assumption regarding the stability of the average unemployment rate is inaccurate, as evidenced by the large error values (RMSE 283209.26 and MAE 246252.37), indicating that this model does not fully capture the fluctuations in unemployment. The average coefficient (mu) is 436.50, and the log-likelihood is -284.05, with conditional volatility forecast values ranging from approximately 1.91e+11 to 2.79e+11. The Bayesian Structural Time Series (BSTS) model was also applied to decompose the data into long-term trend components and seasonal patterns, providing a clearer picture of unemployment movement. However, technical constraints in the implementation of BSTS using TensorFlow Probability resulted in predictions not being completed. Nevertheless, this analysis shows that the unemployment rate of university graduates is highly volatile, and improvements in the GARCH model, as well as resolution of the technical constraints in the BSTS model, are crucial for generating more accurate and reliable predictions.
Sistem Pendukung Keputusan Pemilihan Media Chatting Terbaik Menggunakan Metode MAUT Mochamad Dedy Subekti Rahardjo
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.706

Abstract

The development of technology is increasingly widespread so that it can make it easier for us to carry out all activities / activities. For example, such as communicating even though they are far away. By using media which is now very rapidly developing, the media are Whattsap, Instagram, Facebook and so on, but in the selection of chat media there is often confusion because there are too many features contained in the chat media. so in this study there are 5 criteria including Storage Media, Security, Application Features, Appearance / Interface, and Network Data Usage. So that in solving this problem, a decision support system is needed with the help of a method to get a fast and accurate final result. So in this study, with the title of selecting the best chat media, the best ranking results were found in A2, the name of the media Instagram with a total value of 0.1623.
Evaluasi Teknis Performa Linux Mint dan Windows dalam Pengelolaan Sistem IT Damaryudha, Yudhistira; Dimas Febriawan
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.709

Abstract

This study aims to evaluate and compare the technical performance of the Linux Mint 21.3 operating system with Windows 11 in the context of desktop use at PT Tatalogam Lestari. The research method used is a quantitative approach with a comparative experimental design. Measured parameters include CPU usage, RAM, boot time, and software compatibility. Results show Linux Mint is more efficient in resource use and boot speed, while Windows 11 excels in business software compatibility. In-depth interviews revealed that Linux Mint is well accepted by users although it requires an adaptation period. In conclusion, Linux Mint can be an efficient solution for specific divisions that do not depend on Windows-only software, provided that training and technical assistance are available.
Pemanfaatan Algoritma K-Means Clustering Pada Sistem Rental Mobil Maesaroh, Sri Wulandari; Diansyah, T.M; Liza, Risko; Lubis, Yessi Fitri Annisa
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.391

Abstract

PT. Station Armada Indonesia is one of the companies engaged in the car rental service sector. With the many types of car choices offered, it is not uncommon for many customers to feel confused in choosing what type of car suits their needs. This problem is often experienced by customers who are confused by the many choices of car types available. In this study, the k-means algorithm was used to group cars based on several attributes. The k-means algorithm can be used to group car type data to help provide recommendations for choosing a car type. The purpose of this study is to make it easier for customers to choose the type of car that is most in demand and as material for PT. Station Armada Indonesia to respond better to market changes and achieve better results. Grouping car rental fleets based on rental prices and mileage by utilizing the k-means algorithm can help PT. Station Armada Indonesia group car types. From the grouping results, two cluster groups were obtained with the character of the first cluster being less in demand by customers and the second cluster group being the most in demand by customers. So that the company can easily prepare the type of fleet that is most in demand. In the application of data mining methods using k-means is very helpful and makes it easier for PT. Station Armada Indonesia to develop more effective marketing and offering strategies. By grouping car types with the implementation of k-means can facilitate customer knowledge in choosing car types based on customer needs.
Analisis Sentimen Terhadap Data Komentar Publik Mengenai Isu UU Pilkada 2024 Menggunakan Metode Naïve Bayes dan K-Nearest Neighbor Sebastianus Adi Santoso Mola; Yulianto Triwahyuadi Polly; Atok, Yosefa Carela
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.514

Abstract

The 2024 Regional Head Election Law (UU Pilkada) has become an important issue widely discussed in Indonesia, especially on the social media platform X. Various public comments related to this issue contain positive, negative, and neutral sentiments, reflecting public perceptions. This study aims to analyze the sentiment of public comments on the 2024 UU Pilkada using two machine learning methods: Naïve Bayes and K-Nearest Neighbor (K-NN). The dataset consists of 3864 comments divided into three sentiment classes: 1477 negative comments, 1385 neutral comments, and 1002 positive comments, all of which have undergone text preprocessing. Evaluation was conducted using k-fold cross-validation (k=10). The test results show that the Naïve Bayes method achieves the highest accuracy of 63.47%, while K-NN reaches 56.73%. The precision for negative sentiment is 56.84%, meaning that about 43% of the comments predicted as negative by the model are actually not negative. The recall for negative sentiment is 45.45%, indicating that the model only captures less than half of the actual negative comments. For neutral sentiment, the precision of 60.71% and recall of 66.23% suggest that the model performs fairly well in recognizing neutral comments, although there is still a 39.29% error. For positive sentiment, the precision of 55.55% and recall of 57.63% indicate errors in classifying positive comments. Overall, while the model can correctly classify a portion of the data, there is potential to improve accuracy for both the negative and positive classes.

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