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IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Published by Universitas Kristen Satya Wacana
ISSN : 28287940     EISSN : 28291727     DOI : https://doi.org/10.24246/itexplore.v1i1.2022
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi merupakan jurnal ilmiah tentang penelitian penerapan Teknologi Informasi dalam berbagai bidang, terbit tiga kali dalam setahun, yaitu pada bulan Januari, Mei, dan September untuk masing-masing volumenya. IT-Explore menerima artikel ilmiah hasil-hasil penelitian di bidang penerapan Teknologi Informasi, yang harus didasarkan pada hasil penelitian yang mengetengahkan urgensi, manfaat dan tujuan penelitian. Ruang Lingkup artikel ilmiah yang dapat diterbitkan di IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi mencakup, namun tidak terbatas pada Teknologi Informasi, Sistem Informasi, Bisnis Digital, Komunikasi Visual, Teknologi Komunikasi, Pendidikan Teknologi Informasi, Multimedia, Sains Informasi, dan Penerapan TI dalam berbagai bidang.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 94 Documents
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Implementasi algoritma random walk untuk menghasilkan procedural map pada game scrollbearer Prayoga, Yosafat Rendi; Martyas Edi, Sri Winarso
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 4 No 3 (2025): IT-Explore Oktober 2025
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v4i3.2025.pp352-364

Abstract

The rapid growth of the gaming industry demands innovation in map design to maintain dynamic and non-repetitive gameplay experiences. This study aims to implement the Random Walk algorithm to generate procedural maps for Scrollbearer, a roguelike game developed using C# in Unity. The algorithm constructs random corridors and rooms from a starting point, integrated with dead end handling and Corridor First mechanics to ensure map connectivity. The research applies a Research and Development (R&D) approach with quantitative evaluation through Likert-scale questionnaires. Test results demonstrate that procedural maps significantly enhance replayability, with 79.5% of players preferring this mode due to unique layout variations and higher challenge levels (score 4.07/5). Exploration satisfaction in the procedural mode also outperformed the static mode (score 4.34/5). These findings validate the effectiveness of the Random Walk algorithm in creating dynamic maps for roguelike games, while providing a foundation for future enhancements such as biome diversity and random events.
Sistem pengambilan keputusan untuk pemilihan lokasi usaha menggunakan metode electre berbasis website Da Silva, Graciela; Lobo Soares, Jaime da Costa
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 4 No 3 (2025): IT-Explore Oktober 2025
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v4i3.2025.pp323-333

Abstract

Choosing a strategic business location is a key factor in building a successful enterprise, especially in Lautem Municipality, Timor-Leste. This area presents various opportunities for businesses such as grocery shops, small restaurants, repair workshops, and agricultural ventures. However, entrepreneurs often face challenges like poor road infrastructure, limited purchasing power, and inadequate transport access. This study developed a web-based Decision Support System (DSS) using the ELECTRE method to help business owners select the most suitable location. The system evaluates multiple location options based on important criteria such as population density, transportation access, and economic activity. By using this approach, entrepreneurs can reduce the risk of choosing an unprofitable location and improve their chances of success. The results show that implementing the ELECTRE method in a DSS is effective for identifying optimal business sites. These findings are expected to serve as a practical reference for entrepreneurs in Lospalos and nearby areas, while also supporting local economic development in the region.
Implementasi metode promethee dalam sistem pendukung keputusan penilaian kinerja dosen da Costa Fátima, Manuela Rosa; Lobo Soares, Jaime da Costa
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 4 No 3 (2025): IT-Explore Oktober 2025
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v4i3.2025.pp365-377

Abstract

Lecturers are a key element in improving the quality of education in higher education. Effective assessment of lecturer performance is essential for evaluation and improvement of education quality. Instituito Profissional de Canossa (IPDC) evaluates lecturer performance through manual methods involving students, this process often produces inaccurate data and slows down decision making. For this reason, a decision support system is needed that can accommodate all the criteria needed in decision making using the promethee method to assess lecturer performance. Promethee was chosen in this research because of its ability to consider data characteristics and provide more accurate results. This DSS will consider three assessment criteria, including education, community service and research. The results of the DSS implementation with the Promethee method can provide recommendations for lecturer performance rankings that help the quality assurance team in identifying outstanding lecturers.
Analisis sentimen program makan bergizi gratis menggunakan bidirectional gated recurrent unit Krisnawan; Zufar Abdullah Rabbani; Trimono; Mohammad Idhom
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 4 No 3 (2025): IT-Explore Oktober 2025
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v4i3.2025.pp282-294

Abstract

The Free Nutritious Meals (MBG) program launched by the Indonesian government aims to address the problem of malnutrition in children and students. However, the acceptance of this program in the community still requires in-depth evaluation because there are many negative sentiments that dominate on social media. This study aims to analyze the sentiment of the Indonesian community regarding the Free Nutritious Meals program on social media X (Twitter) using the Bidirectional Gated Recurrent Unit (BiGRU) model. Of the 1,405 tweet data obtained, 57% were negative opinions and 43% were positive opinions. The evaluation results show that the BiGRU model with FastText support to handle potential overfitting, is able to classify sentiment effectively, with an accuracy of 80%. Sentiment analysis shows that the majority of public responses to the Free Nutritious Meals (MBG) program tend to be negative, with 798 negative tweets and 607 positive. This reflects public dissatisfaction with the implementation of the program and highlights the need for evaluation and improvements so that the benefits can be more widely felt by the community.
Analisis sentimen masyarakat terhadap putusan Mahkamah Konstitusi tentang batasan usia calon Presiden dan Wakil Presiden di media sosial Twitter Noviolen Jehovan Dieksa; Pakereng, Ineke
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 5 No 1 (2026): IT-Explore Februari 2026
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v5i1.2026.pp1-10

Abstract

This study evaluates public sentiment toward Constitutional Court Decision No. 90/PUU-XXI/2023 regarding the age limit for presidential and vice-presidential candidates, a controversial issue closely related to Indonesia’s democratic dynamics. Understanding public opinion on Twitter, as a major platform for political expression, is essential for informing electoral policy formulation. Data were collected using Tweet Harvest through Google Colab and analyzed using the Naïve Bayes algorithm as the primary sentiment classification method, with RapidMiner employed to support and streamline the analytical process. The analysis process included data cleaning, text normalization, stopword removal, manual labeling of 80 tweets as training data, and automatic sentiment classification to identify positive and negative sentiments. From a total of 151 analyzed tweets, 84 (55.63%) were classified as negative and 67 (44.37%) as positive, with the model achieving an accuracy of 66.67%. These findings suggest a tendency toward public opposition to the decision, reflecting dissatisfaction among Twitter users. The study demonstrates that Naïve Bayes is reasonably effective for sentiment classification with limited datasets and provides insights for policymakers in understanding public responses to election-related regulations.
Sistem pendukung keputusan pemilihan lulusan terbaik untuk jurusan teknik informatik di Instituto Profissional de Canossa (IPDC) menggunakan metode multi attribute utility theory Rai Lira Dos Santos Rego, Jose Ian
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 5 No 1 (2026): IT-Explore Februari 2026
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v5i1.2026.pp65-74

Abstract

Best graduate selection is crucial for academic achievement and contributes to the accreditation value of the institution. Instituto Profissional de Canossa (IPDC) is a higher education institution founded by the Canossian Sisters in Timor-Leste. To improve the effectiveness of assessment and decision-making processes, an information system is needed to assist in selecting the best graduates based on multiple criteria. This research develops a web-based Decision Support System (DSS) using the Multi-Attribute Utility Theory (MAUT) method. MAUT is a multi-criteria decision-making method that evaluates alternatives based on their utility scores across several criteria. The study uses four main criteria: attendance, academic performance, ethics, and discipline. The system is implemented as a web application for universal access. The MAUT calculation results provide valid and accurate recommendations for the best graduates. System testing showed that the application successfully ranked candidates based on defined weights and criteria, providing objective and consistent selection results.
Perancangan sistem manajemen session real-time menggunakan firestore, python, dan javascript Richard Alvin Munandar; Pratyaksa Ocsa Nugraha Saian
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 5 No 1 (2026): IT-Explore Februari 2026
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v5i1.2026.pp50-64

Abstract

PT. XYZ is one of the largest retail companies in Indonesia. PT. XYZ has a website-based application that functions to help employees who work in IT Support to handle operational problems. However, this website has not implemented a session management system which can affect the level of security. Therefore, a system design was created for real-time session management using Firestore, Python, and Javascript. Firestore is used as a database to store sessions and Firestore has a feature called the Firestore snapshot listener which functions to detect changes in real-time. The research method includes identifying needs, initial prototype design, prototype creation, prototype evaluation, prototype refinement, and system implementation. Black Box Testing is used as a method for testing this system, where the results are in accordance with the needs and interviews are conducted with the admin of this website to test the session management system and find out the admin's response regarding the designed session management system. The results obtained are satisfactory because security can be further improved, user experience is improved, and the company's needs can be achieved.
Analisis UI/UX website Guesthouse Gethsemane Salatiga menggunakan metode heuristic Wines Kurnia Sendy; Adi Nugroho
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 5 No 1 (2026): IT-Explore Februari 2026
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v5i1.2026.pp26-36

Abstract

Gethsemane Salatiga website using Jakob Nielsen’s heuristic evaluation method combined with a triangulation approach. The evaluation involved 20 respondents, consisting of 7 UI/UX experts and 13 general users and guests, who assessed the website based on Nielsen’s ten heuristic principles, including visibility of system status, match between system and the real world, user control and freedom, consistency and standards, error prevention, recognition rather than recall, flexibility and efficiency of use, aesthetic and minimalist design, error recovery, and help and documentation. To minimize potential bias, the study integrated heuristic evaluation with user context analysis and empirical validation through usability testing, thereby providing a more comprehensive assessment. The results indicate that the overall UI/UX quality of the website is relatively good, with average scores ranging from 3 to 4 on a 5-point scale. Most identified issues fall within minor to moderate severity levels, with no critical problems affecting core functionalities. Consistency and standards received the highest average score (4.0), while alignment with user expectations and visual comfort still need improvement. Recommendations include enhancing system feedback, strengthening error prevention mechanisms, and improving help and documentation features. The differences in assessments between expert and non-expert respondents highlight the importance of professional evaluation in identifying usability issues. This study contributes to the refinement of a more reliable and contextually relevant UI/UX evaluation framework, particularly within the hospitality and tourism sector.
Segmentasi pelanggan pada penjualan perusahaan air minum XYZ dengan analisis RFM dan K-Means clustering Dwi, Geizka Wasito Adi; Wowor, Alz Danny
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 5 No 1 (2026): IT-Explore Februari 2026
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v5i1.2026.pp75-85

Abstract

A suitable and targeted marketing plan is required because of the intense competition in the retail drinking water sector. Customer segmentation using RFM (Recency, Frequency, and Monetary) analysis is one of the techniques employed. Additionally, K-Means clustering, a clustering technique based on machine learning, is employed. This study's goal is to present the findings in the form of graphs that can be used to examine consumer trends according to their attributes. With a value of 10286, the Calinski Harabaz index is a suitable metric to move on to the segmentation step in this study, which also tests three metrics using the clustering method. An ideal cluster is created for every cluster evaluation by dividing the Calinski Harabaz index into three more manageable clusters. This contrasts with other evaluation metrics that only yield two clusters. For instance, when XYZ drinking water sales transaction data was distributed, it was discovered that, out of the total drinking water sales, woodsale had 422 customers, diamond had 1061 customers, and star diamond had 2005 customers. The management of the XYZ drinking water company and other marketing fields are expected to encounter more intense competition as a result of the study's findings.
Penerapan load balancing web server berbasis K-NN dengan open vSwitch dalam Jaringan software defined network Cristhian Abimayu Wibowo; Dian W. Chandra
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 5 No 1 (2026): IT-Explore Februari 2026
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v5i1.2026.pp98-108

Abstract

Software Defined Network is a popular computer network concept today because of the ease of managing network traffic with the control plane. Massive internet usage makes web server services on SDN networks overloaded. There are many load balancing concepts to overcome this problem, one of which is implementing the K-NN algorithm. This study aims to maximize the performance of the K-NN algorithm on SDN networks by optimizing the K value using Grid Search Cross Validation, and adding server status selection logic based on the smallest disk if the server status calculated by K-NN has the same. All implementations of the load balancing concept in this study were created virtually using Open vSwitch and virtualbox. Testing was carried out using CPU, MEMORY, and DISK parameters sent by the server with the help of the psutils component. JMeter software was used for testing by sending data using the POST method. The data type is text/plain with a data size of 1MB, testing was carried out in stages with threads 100, 200, 300, 400. The test results showed that the performance of the K-NN algorithm was running optimally. There was no significant difference in the distribution of the load to the server, this made the optimization and addition of logic successful.

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