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Jurnal Informatika Terpadu
Published by STT Terpadu Nurul Fikri
ISSN : -     EISSN : 24608998     DOI : -
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Education
Jurnal Informatika Terpadu memuat jurnal ilmiah di bidang Ilmu Komputer, Sistem Informasi dan Teknik Informatika. Jurnal Informatika Terpadu diterbitkan oleh LPPM STT Nurul Fikri dengan periode dua kali dalam setahun, yakni pada bulan Maret dan September.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 164 Documents
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Implementasi Sistem Pemesanan Hotel Menggunakan Algoritma Haversine untuk Optimalisasi Rekomendasi Lokasi Adhani, Hamka Lukmanul Hakim; Bianto, Mufti Ari; Pratama, Alif Nanda; Hidayah, Septina Alfiani
Jurnal Informatika Terpadu Vol 11 No 2 (2025): September, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i2.2030

Abstract

A location-based lodging recommendation system helps users find nearby hotels efficiently through a web-based platform. The system utilizes the Haversine algorithm to calculate the distance between the user's location and the hotel by automatically retrieving coordinates via the Geolocation API. Calculated distances are compared with hotel data stored in a MySQL database, and the results are displayed on a web interface integrated with the Google Maps API. Testing was conducted on six hotels with distances ranging from 6.73 km to 23.97 km, and results were compared with Google Maps estimates. The system achieved an average distance difference of 0.0183 km, with an accuracy rate of 99.83%. These findings indicate that the Haversine algorithm provides highly accurate distance estimations and is reliable for location-based hotel recommendation systems.
Penerapan Metode Multi-Factor Evaluation Process dalam Keputusan Pemilihan Hewan Pemeliharaan untuk Anak Ghufriyyah, Shinta; Adelia, Tsania Shidqi; Muzid, Syafiul
Jurnal Informatika Terpadu Vol 11 No 2 (2025): September, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i2.1865

Abstract

The selection of suitable pets for children requires consideration of several criteria, including gentle temperament, care needs, safety, and social interaction. This study applies the Multi-Factor Evaluation Process (MFEP) method to recommend the most appropriate pets for children based on predefined criteria. MFEP is a decision-making technique that determines preference values by weighting each criterion and evaluating performance scores. A quantitative approach was employed with five pet alternatives and five evaluation criteria: safety, interaction level, care cost, ease of maintenance, and allergy potential. The evaluation results show that ornamental fish achieved the highest preference score of 0.92, followed by turtles with 0.87, indicating their suitability as ideal pets for children. These findings demonstrate that the MFEP method supports structured and objective decision-making in pet selection. Future studies are recommended to include additional criteria tailored to children’s specific needs, such as allergies or physical limitations.
Analisis Sentimen Ulasan Aplikasi Gojek Menggunakan Support Vector Machine Dan Random Forest Aditya, Azka Bima; Samsudin, Syafri; Rizki, Winahyu Pandu; Mahendra, Mahir; Setiawan, Arif
Jurnal Informatika Terpadu Vol 11 No 2 (2025): September, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i2.1884

Abstract

The rapid development of digital transportation, such as Gojek, requires a deep understanding of user satisfaction. This study analyzes the sentiment of Gojek application reviews to evaluate public opinion and compare the performance of the Support Vector Machine (SVM) and Random Forest models. A quantitative experimental method was applied to 30,055 user reviews for versions "4" and "5" from the Google Play Store. The data underwent comprehensive text preprocessing, automatic sentiment labeling using VADER enriched with an Indonesian lexicon, and TF-IDF feature extraction. The training data imbalance was addressed using SMOTE before the data was split for training and testing. The results show that user sentiment was dominated by positive (38.9%) and neutral (38.2%) categories. In the performance evaluation, the SVM model demonstrated superior performance with 96% accuracy and an F1-score of 0.96, outperforming the Random Forest model, which achieved 93% accuracy and an F1-score of 0.93. In conclusion, SVM is a more effective model for sentiment classification of Gojek reviews. Future research is recommended to refine the lexicon and implement aspect-based analysis to obtain more detailed insights.
Perancangan Prototype Sistem Monitoring Ternak Ruminansia dengan Metode Human Centered Design Putriana, Rena; Pradini, Risqy Siwi; Haris, M. Syauqi
Jurnal Informatika Terpadu Vol 11 No 2 (2025): September, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i2.2553

Abstract

The ruminant livestock sector, such as sheep and cattle, makes a significant contribution to food security and the national economy. However, livestock data management, which is still carried out manually, remains a major challenge in improving operational efficiency, as seen in the Sarwa Adem Mulya (SAM) Cooperative. This study aims to design a prototype of a mobile-based livestock monitoring system called Ruminant Watch, using the Human-Centered Design (HCD) approach to align with the needs and limitations of field users. The research was conducted through five main stages: literature review, specification of the usage context, identification of user needs, design solution development using Figma, and usability evaluation through the System Usability Scale (SUS) questionnaire. The testing results showed an average SUS score of 87, which falls into the “Excellent” category. This indicates that the developed prototype system is not only easy to use but also relevant and effective in supporting livestock monitoring activities. This design is expected to serve as an initial step toward the digitalization of ruminant farming that is more efficient and adaptive to users’ capabilities.
Pendekatan Agile Software Development dalam Sistem Informasi Berbasis Web untuk Optimalisasi Manajemen Data Iklan Herawati, Afni Kurnia; Putri, Dwi Ismiyana
Jurnal Informatika Terpadu Vol 11 No 2 (2025): September, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i2.2572

Abstract

Advertising data management in Emtek Digital's Open Marketplace (OMP) division continues to face such as fragmented documentation, the risk of data duplication, and limited transparency in real-time ad performance tracking. These issues reduce strategic effectiveness and slow down the decision-making process. This study aims to develop an integrated information system that can improve efficiency, accuracy, and transparency in advertising data management. Using the Agile Software Development method, a web-based system was designed to be adaptive to changing user needs and equipped with data automation, report validation, and user and partner management features. Testing was conducted using the Blackbox and User Acceptance Test (UAT) methods, obtaining an average score of 83.3% in the “Very Good” category. These results indicate that the developed system is feasible for implementation and capable of supporting fast and accurate data-driven decision-making. Unlike the previous non-integrated system, this research introduces innovations in integration and reporting process automation, thereby improving the efficiency and transparency of advertising data management.
Implementasi Strategi Instagram Marketing Berbasis Model AIDA untuk Optimalisasi Konten UMKM Kuliner Bayanussabil, Muhammad Syahid; Pramudiawardani, Shelly; Rusmanto, Rusmanto
Jurnal Informatika Terpadu Vol 11 No 2 (2025): September, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i2.2689

Abstract

This study aims to design and implement an Instagram marketing strategy using the AIDA model (Attention, Interest, Desire, Action) to enhance consumer purchase interest for Mie Ayam Bakso Mas Dava, a micro, small, and medium enterprise (MSME). The research employs a qualitative descriptive method, collecting data through interviews, observations, and analysis of Instagram Insights. Data were analyzed using NVivo to identify themes aligned with the AIDA model, which was validated through triangulation. The results show that the strategy was successfully designed using AIDA-based Reels, Stories, and Feed content, achieving 5,171 views, 222 interactions, and 27 Linktree clicks, as recorded in Instagram Insights from April to May 2025. Reels were the most effective format, followed by Stories and Feed. The implementation increased purchase interest through aesthetic visuals and a clear call-to-action (CTA). However, limitations such as a low follower count (53) and geographical constraints suggest the need for increased Reels frequency and Instagram Ads. This study contributes to the development of digital marketing strategies for MSMEs.
Pengembangan Antarmuka Web Analitik Log Deteksi Intrusi Jaringan Berbasis Suricata Menggunakan Dash Berniawan, Nikita Putri; Saptono, Henry; Zaida, Efrizal
Jurnal Informatika Terpadu Vol 11 No 2 (2025): September, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid growth of internet usage correlates with an increasing risk of network security threats. Attacks on network traffic may result in confidential data breaches and system disruptions. Suricata, a powerful Intrusion Detection System (IDS) tool, is used to generate rich detection logs. However, raw log data in JSON format remains difficult to analyze and interpret directly due to its complexity and large volume. This study proposes the development of a web-based application using the Dash framework to visualize intrusion detection results from Suricata. Dash is capable of presenting data in an interactive and informative manner through various components such as histograms, line charts, tables, and filter features. The purpose of this research is to assess Dash’s effectiveness in presenting intrusion data in a format that is accessible and easily interpreted by users. Evaluation results show that the Dash framework successfully visualized 24,526 alerts out of a total of 4,247,464 logs accurately. The application was also able to display all information components comprehensively and interactively. Thus, this application can contribute to improving both network security and operational efficiency.
Pengaruh Strategi Digital Marketing Tiktok Terhadap Peningkatan Penjualan Produk Yamara Fashion Santosa, Fadila Adelia Putri; Janah, Nurul; Mentari, Laisa Nurin
Jurnal Informatika Terpadu Vol 11 No 2 (2025): September, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i2.2699

Abstract

TikTok has emerged as a dominant platform in digital marketing strategies, driven by its engaging short-form video content and algorithmic distribution tailored to user preferences. In Indonesia, TikTok reached 157.6 million users by July 2024, establishing itself as the fastest-growing social media platform in Southeast Asia and offering high potential for enhancing product visibility and sales, particularly for fashion businesses. Toko Yamara, a local enterprise specializing in fashion since 2020, actively utilizes TikTok for marketing; however, sales fluctuations observed from April to August 2024 highlight inconsistencies in its marketing approach. This study examines the impact of TikTok-based digital marketing strategies on sales performance at Toko Yamara, focusing on four key dimensions: accessibility, interactivity, entertainment, and informativeness, alongside engagement metrics—including likes, comments, shares, and saves—that reflect audience interaction. Employing an explanatory quantitative approach, the research involved 116 consumers exposed to Toko Yamara’s TikTok content, selected through purposive sampling. Data were collected using a Likert-scale questionnaire and analyzed through validity and reliability tests, simple linear regression, t-tests, and coefficient of determination. Results indicate a statistically significant influence of TikTok digital marketing on sales growth, with a coefficient of determination (R²) of 49.6%. These findings underscore the importance of optimizing informative and engaging content for small businesses to strengthen social media-based marketing efforts and provide empirical backing for consumer purchase decisions.
Perancangan dan Pengembangan Sistem Informasi Permintaan ATK untuk PT. Wilmar Bioenergi Indonesia Renaldi, Yopy; Wahidin, Ahmad Jurnaidi; Budiman, Yusuf Unggul; Prayudhi, Risa
Jurnal Informatika Terpadu Vol 12 No 1 (2026): Maret, 2026 (On Going)
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v12i1.2602

Abstract

The research problem addressed in this study is the manual process of requesting and recording office stationery (ATK) at PT. Wilmar Bioenergi Indonesia, which leads to process delays, data inaccuracies, and difficulties in reporting. This study aims to design and implement a web-based ATK request information system to support more effective and efficient administrative management. The prototype method was employed, with data collected through observation, interviews, and literature review. The system was developed using PHP, MySQL, and the Bootstrap framework, and evaluated using Black Box Testing. The results indicate that the system supports integrated ATK request submission, approval, and reporting processes, with all main features functioning as expected. The contribution of this study lies in providing a web-based ATK request information system model that enhances internal administrative effectiveness and can serve as a reference for developing ATK request management systems in similar organizations.
Analisis Sentimen Kontaminasi Radioaktif di Kawasan Industri Cikande Menggunakan Algoritma Support Vector Machine Alfiansyah, Taufik Ramlan; Hidayat, Audy Abdillah; Pratama, Alfarezi Hidayat; Mahenda, Agil Aqshol; Rafly, Muhammad
Jurnal Informatika Terpadu Vol 12 No 1 (2026): Maret, 2026 (On Going)
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v12i1.2694

Abstract

The suspicion of radioactive contamination in the Cikande industrial area has prompted a strong public reaction, as shown by the many comments on TikTok. This research aims to understand how people feel about this issue and to measure how well the Support Vector Machine (SVM) algorithm classifies opinions. The data used comes from 3,160 comments collected via web scraping, then processed through several steps, including cleaning text, normalizing, separating words, deleting common words, and summarizing words, before using the TF-IDF method for representation. Comments were then labelled using a lexicon-based method, which showed that 70.79% were negative and 29.21% were positive. Modelling was carried out using SVM on training and test data in an 80:20 ratio. The results show that the model achieved an accuracy of 89% and recognized both sentiment types well. In general, negative comments expressed greater concern about health and environmental impacts, and a lack of confidence in how waste is managed, while positive comments emphasized the importance of scientific verification and official monitoring. These findings indicate the need for clearer, more consistent, and data-based communication about risks to reduce public concerns and increase public trust.

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