JURNAL REKAYASA INFORMASI

PEMODELAN RANCANGAN WEBSITE ‘MITRA UTAMA TEKNIK’ MENGGUNAKAN STRUKTUR NAVIGASI DAN UML

Suharni - — 2025-07-16

Mitra Utama Teknik is a business engaged in AC service. The service ordering system at Mitra Utama Teknik still uses WhatsApp (WA) or telephone, so the Administration Section for ordering services at Mitra Utama Teknik has difficulty in managing AC service order data. Sometimes the data is missed, some are not recorded, and the order of incoming data is not regular with the service order. In addition, by using WhatsApp media, customers are limited to the community on WA. Mitra Utama Teknik hopes to be able to fix the problems in the administration section of AC service regularly and that its service information can reach a wider range of customers. The initial step to achieve the goals and expectations, the researcher wants to help by creating a website design model. The models that will be used to create the Mitra Teknik Utama website are Navigation Structure and UML (Unified Modeling Language) with diagrams consisting of Usecase diagrams, activity diagrams, and class diagrams. The results of the Navigation and UML structure design can be used as a reference by system developers to be implemented into a website that can help the Mitra Teknik Utama AC service business activities in achieving their goals.

IMPLEMENTASI METODE DDD-E PADA PENGEMBANGAN APLIKASI MEDIA PEMBELAJARAN INTERAKTIF IPAS MATERI LAPISAN BUMI

Riyan Abdul Aziz — 2025-07-16

Interactive learning media can be one solution for teachers to improve student learning outcomes in certain subjects. One of the subjects that requires visualization in the form of images or videos is the material on the layers of the Earth in the fields of natural sciences. This study aims to identify the problems experienced in developing interactive learning media applications for the material on the layers of the Earth in the fields of science and natural sciences. The development method used to create interactive learning media applications for the material on the layers of the earth in the fields of science and natural sciences is DDD-E (Decide, Design, Develop, Evaluate). Interactive learning media has been successfully created, with four main menus: the competency menu, material menu, practice question menu, and game menu. The results of the media expert test using black box testing showed that all menus, features, and buttons functioned properly. The posttest results showed that seventeen students passed above the KKM, the average class score increased to 83 from the previous 56.3.

KARAKTERISTIK RESPONDEN DALAM MENGISI KUESIONER TENTANG HAMBATAN PENGGUNAAN E-LEARNING

Siti Nurmiati — 2025-07-16

This study aims to identify the characteristics of respondents who have participated in answering the questionnaire about the barriers to the use of e-learning in Higher Education, located in the Bekasi area, West Java. After the data was collected, processed and analyzed using SPSS ver 29 software, it can be seen that the characteristics of respondents who participated in answering the questionnaire about the barriers to the use of e-learning can be grouped into several (can be seen in Figure 2 - Figure 13) namely Age characteristics ranging from 18-24 years as many as 265 (76.8%), Male Gender characteristics as many as 191 (55.4%), Bachelor's Education characteristics as many as 345 (100%), Information Systems Study Program characteristics as many as 250 (72.5%), Device characteristics used Laptops and Smartphones as many as 248 (71.9%), Daily Frequency of Use characteristics as many as 306 (88.7%), Year of Using Devices 1-3 years as many as 109 (31.6%), Internet Access Place characteristics Home, Campus and Public Places as many as 166 (48.1%). Characteristics of Internet Usage Years more than 8 years as many as 190 (55.1%), characteristics of e-learning Platform used, namely Custom e-learning as many as 175 (50.7%), characteristics of Daily Frequency of Use of e-learning as many as 172 (49.9%), characteristics of Years Using E-learning 1-3 years as many as 208 (60.3%). While the results of significant testing between two variables, namely Study Programs with Internet Access Places with p-value = 0.026 is smaller than 0.05 so that there is a significant relationship between the two variables tested (can be seen in Figure 18).

Analisis Keamanan Website LPPM ISTN Melalui Pengujian Penetrasi Berbasis ZAP dan Nessus

Riadi Marta Dinata — 2025-07-16

The high dependence of educational institutions on online information systems makes web security a crucial issue that cannot be ignored. This research addresses security issues on the LPPM ISTN website, aiming to identify and thoroughly evaluate its potential vulnerabilities. The approach combines two main tools: OWASP ZAP for analyzing web application vulnerabilities and Nessus for IP scanning on the LPPM ISTN Web. Additionally, Metasploit, Hydra, and OpenSSL are utilized as exploitation and validation tools. The test results revealed several significant vulnerabilities, including DNS Amplification DDoS, Clickjacking loopholes, and the absence of CSRF tokens. While some exploits failed, this confirmed the effectiveness of certain security configurations already in place. Findings also indicated that many weaknesses stemmed from the use of legacy technologies and suboptimal header settings. Post-audit evaluations showed improvements on the part of developers, confirming the important role of penetration testing as an evaluative and preventative tool. This research recommends the implementation of layered defenses, periodic system updates, and intensive collaboration between development and security teams to build the institution's digital resilience.

Analisis Komprehensif Kinerja Model Klasifikasi Sentimen: Evaluasi Lintas Metrik pada Dataset Tweet Film Bahasa Indonesia

Riadi Marta Dinata — 2025-07-16

Evaluating the performance of text classification models cannot rely solely on accuracy, particularly when dealing with imbalanced datasets or evaluation goals that are sensitive to specific types of errors. This study investigates the performance of five classification algorithms—K-Nearest Neighbor, Support Vector Machine, Random Forest, Logistic Regression, and Naive Bayes—on an Indonesian-language film review sentiment dataset. Each model is assessed across four key metrics: accuracy, precision, recall, and F1-score, using a 10-fold holdout strategy to observe consistency and generalization. Results reveal that SVM outperforms other algorithms with the highest average accuracy of 85.5%, followed by Naive Bayes (83.0%) and Logistic Regression (82.3%). Although Random Forest shows strong precision (85.6%), its lower recall (65.3%) reflects an imbalance in performance across metrics. Evaluation based on target-specific criteria—including false negative sensitivity and probabilistic distribution analysis—confirms the importance of multi-metric validation. In conclusion, SVM emerges as the most reliable choice for sentiment classification in Bahasa Indonesia, offering the best balance across performance indicators, while Random Forest demonstrates vulnerability under complex data splits.
Keywords: Sentiment Classification, Model Evaluation, Text Mining, Supervised Learning Algorithms, Indonesian Language

Implementasi Disaster Recovery Center (DRC) di Rumah Sakit XYZ dengan Menggunakan Carbonite Availability

Riadi Marta Dinata — 2025-07-16

Disaster Recovery Center (DRC) is a terminology widely recognized by organizations that rely on information technology as their operational foundation, particularly those requiring high availability systems. Hospital institutions that have implemented Hospital Management Information Systems (HMIS) in their administration face significant risks to healthcare service continuity when system disruptions occur. This research aims to analyze the implementation of DRC at XYZ Hospital using Carbonite Availability technology to ensure operational continuity of hospital information systems. The research methodology adapts Hossam's data center recovery model consisting of three phases: Disaster Recovery Assessment Plan, Disaster Recovery Action, and System/Application Testing & Analysis. Carbonite Availability is an application with block device storage replication technology between servers that enables real-time data synchronization. Test results show that the system can achieve Recovery Time Objective (RTO) of less than 15 minutes and Recovery Point Objective (RPO) approaching zero with 100% failover success rate. DRC implementation proves effective in ensuring hospital information system service continuity with minimal operational disruption and maintaining data integrity during disaster recovery processes.

Keywords: disaster recovery center, hospital information system, carbonite availability, business continuity, high availability.

PENGARUH CORPORATE SOCIAL RESPONSIBILITY, UKURAN PERUSAHAAN DAN PERTUMBUHAN PENJUALAN TERHADAP NILAI PERUSAHAAN

Dipateruna Teruna Awaludin — 2025-07-16

ABSTRACT

This research aims to analyze whether there is an influence of corporate social responsibility, company size, and sales growth on the value of the company. The population in this study is a manufacturing company in the consumer goods industry sector listed on the Indonesia Stock Exchange. The sampling technique in this study uses purposive sampling and the sample used consists of 155 companies observation period conducted 2016-2020. The type of data in this study is secondary data that uses data from financial statements. The technical data analysis used in this study is multiple linear regression analysis and the data is processed using the SPSS program version 23.0. The results of this study showed that corporate social responsibility had no effect on the value of the company, and sales growth had no effect on the value of the company. While the size of the company positively affects the value of the company..

Keywords :

Corporate Social Responsibility, Company Size, Sales Growth.