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I Gede Pasek Suta Wijaya
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Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram Jl. Majapahit 62, Mataram, Lombok, NTB
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INDONESIA
Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA )
Published by Universitas Mataram
ISSN : -     EISSN : 26570327     DOI : https://doi.org/10.29303/jtika
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering
Jurnal Teknologi Informasi, Komputer dan Aplikasinya disingkat dengan JTIKA diterbitkan oleh Program Studi Teknik Informatika Fakultas Teknik Universitas Mataram sebagai wadah publikasi hasil penelitian original dalam di bidang teknologi informasi, ilmu komputer dan aplikasinya. JTIKA adalah open access jurnal dengan online ISSN 2657-0327 dan proses review secara blind dan peer-review yang dilakukan oleh sekurang-kurangnya 2 orang reviewer. JTIKA memiliki Jumlah terbitan sebanyak 2 kali dalam setahun yaitu pada bulan Maret dan September. Tujuan utama JTIKA adalah sebagai media untuk mempublikasikan artikel hasil penelitian, inovasi aplikasi, studi perbandingan yang berkualitas baik dan mengikuti perkembangan dan tren teknologi baru dibidang Teknologi informasi, Komputer adan Aplikasinya. Artikel yang dipublikasikan pada JTIKA dapat ditulis dalam bahasa Indonesia maupun bahasa Inggris.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 209 Documents
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PERBANDINGAN SUMBER DAYA HONEYPOT BERBASIS COWRIE DAN OPENCANARY TERHADAP SERANGAN SSH BRUTE-FORCE DAN PORT-SCANNING Pramana, Yoga; Huwae, Raphael Bianco; Jatmika, Andy Hidayat
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.541

Abstract

The rapid advancement of information technology demands good security. One approach that can be taken and is considered effective for identifying and analyzing cyberattacks is to implement a honeypot security layer. In a comparative study of two types of honeypots, namely Opencanary and Cowrie, which examined the form of honeypot response and the main focus of resource requirements to attacks along with the use of two methods of brute-force and port-scanning attacks. The attack was carried out virtually with the self-attack method, with the aim of comparing each honeypot in terms of resource requirements. The results show that in brute-force attacks, Opencanary has lower resource requirements with the highest CPU/RAM requirements of only 14% / 1.3%, while Cowrie requires more resources with the highest CPU/RAM requirements of 17% / 1.3%. While port-scanning attacks have lower resource requirements with the highest CPU requirements in Opencanary at 3% and Cowrie at 2% and similar RAM requirements at 1.28%. This study is expected to be a benchmark in selecting a honeypot that is tailored to the existing resource requirements.
SISTEM DETEKSI BERITA PALSU DUA BAHASA MENGGUNAKAN TF-IDF DAN MULTINOMIAL NAIVE BAYES Septianto, Rheno; Rianto, Yan
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.550

Abstract

The rapid spread of misinformation poses a major threat to public trust and digital literacy. This study develops a bilingual fake news detection system capable of analyzing news content in English and Indonesian. The system uses two separate monolingual models trained independently on the WELFake dataset (English) and the Berita Hoax 2023 dataset (Indonesian). Each model applies text preprocessing techniques such as tokenization, stopword removal, and normalization before transforming the text using TF-IDF. The classification process utilizes the Multinomial Naïve Bayes algorithm, chosen for its efficiency in handling high-dimensional text data. The bilingual system integrates an automatic language detection module that selects the appropriate model based on the detected language. Evaluation results show that the English model achieves an accuracy of 86%, while the Indonesian model achieves an accuracy of 93%. These results indicate that the two-model bilingual approach provides reliable performance for multilingual fake news detection. This study contributes to practical solutions for misinformation mitigation, especially in multilingual environments like Indonesia.
PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA K-MEANS UNTUK ANALISIS DATA BELANJA ONLINE MAHASISWA Marjuki, Deiva Verlyn; Safitri, Mutyara; Rosyid, Harun Al
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.553

Abstract

This study was conducted to analyze the online shopping behavior of college students using the K-Means algorithm as a clustering technique in data mining. This study was motivated by the lack of systematic segmentation of student shopping behavior, which limits the understanding of purchasing characteristics within this consumer group. Unlike previous studies that mostly examine general retail customers or broad e-commerce users, this study specifically focuses on university students by integrating demographic and behavioral attributes. The originality of this study is reflected in the simultaneous use of six variables, namely gender, shopping time, product type, expenditure level, payment method, and purchase decision factors. Data were collected through an online survey involving 200 active college students. The research stages consisted of data cleaning, data category transformation using One-Hot Encoding, clustering model construction using the K-Means algorithm, and cluster evaluation using the Silhouette method. The evaluation results showed that the optimal number of clusters was k = 3, achieving the of 0.0913. Three distinct segments of college students' online shopping behavior were identified, providing insights that can support more targeted marketing strategies and student-oriented e-commerce services.
ANALISIS KESESUAIAN PENGUKURAN KALORI SMARTWATCH DENGAN PERHITUNGAN MET PADA AKTIVITAS OLAHRAGA Raihan, Rafli Assiddiqie; Paputungan, Irving Vitra; Setiawan, Mukhammad Andri
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.555

Abstract

This study aims to evaluate the agreement between calorie estimations generated by smartwatches and manual calculations based on the Metabolic Equivalent of Task (MET) during physical activity. Three participants with different physiological characteristics and activity intensities completed 15 training sessions using the Xiaomi Smart Band 8 and 10. Calorie estimates from the devices were compared with MET-based calculations using the paired sample t-test. The results indicate that, for moderate to high intensity activities such as jogging and running, no significant differences (p > 0.05) were observed between the two estimation methods, suggesting a good level of agreement. Conversely, low-intensity walking showed significant differences (p < 0.05), reflecting a tendency for overestimation by the smartwatch. Overall, the agreement improved when heart rate rhythm and movement patterns were more stable, consistent with physiological principles relating oxygen consumption and MET values. As a preliminary case-series, this study highlights the importance of activity intensity when interpreting smartwatch-based energy estimates and provides insight into the practical use of wearable devices for daily exercise monitoring.
PYTHON WEB SYSTEM TO RESTORE SQL SERVER DATABASE TO DRC WITH ADVANCED INFORMATION RETRIEVAL Rabertra, Devis; Saputra, Irwansyah
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.559

Abstract

Disaster Recovery Centers (DRC) play a crucial role in ensuring the availability and continuity of database operations in enterprise environments. The process of restoring databases from production servers to DRCs is often performed manually, which can lead to errors such as selecting incorrect backups, corrupted files, and lengthy search times. The complexity increases with the growing number of databases and the variety of daily backup types.This study develops an automated system based on a Python Web Interface integrated with Advanced Information Retrieval (IR) to improve the accuracy and speed of finding relevant backups before restoration. The system employs Natural Language Processing (NLP) and multi-criteria relevance scoring, evaluating backup suitability based on fuzzy matching of database names, recency, semantic similarity, backup type, and file size.Testing was conducted using 28 backup records from 5 different databases. Results show that Advanced IR can accelerate backup searches in under 2 seconds, with relevance ranking ranging from 38% to 67%. Additionally, the automated restore process via Python achieved an average execution time of 7.49 seconds with a 100% success rate.
VISUALISASI KEBAYA BALI BERBASIS AUGMENTED REALITY UNTUK PENINGKATAN PROMOSI UMKM Aristamy, I Gusti Ayu Agung Mas; Iswardani, Putu Risanti; Meinarni, Ni Putu Suci
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.572

Abstract

Penjualan produk kebaya Bali pada UMKM HitaFelicite masih menggunakan media promosi konvensional berupa foto katalog dan media sosial dua dimensi sehingga konsumen belum dapat melihat bentuk produk secara detail dan interaktif. Keterbatasan tersebut menyebabkan pengalaman pengguna dalam mengeksplorasi produk menjadi kurang optimal. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan aplikasi katalog produk kebaya Bali berbasis Augmented Reality (AR) sebagai media visualisasi produk yang lebih interaktif. Metode pengembangan aplikasi menggunakan tahapan pemodelan sistem, pembuatan aset 3D, serta implementasi teknologi AR berbasis perangkat mobile. Pengujian sistem dilakukan menggunakan Black Box Testing, pengujian spesifikasi perangkat (device compatibility), dan User Experience Questionnaire (UEQ) untuk mengetahui tingkat keberhasilan fungsi aplikasi dan pengalaman pengguna. Evaluasi pengalaman pengguna menggunakan User Experience Questionnaire (UEQ) terhadap 20 responden menghasilkan penilaian positif, dengan aspek Efisiensi berada pada kategori Excellent, sementara Daya Tarik, Kejelasan, dan Ketepatan pada kategori Good. Dengan demikian, aplikasi AR yang dikembangkan dapat menjadi media promosi digital yang lebih interaktif bagi UMKM HitaFelicite Kebaya.
PERBANDINGAN MODEL DEEP LEARNING UNTUK PENERJEMAHAN BAHASA ISYARAT SIBI BERBASIS MOBILE Indrawan, I Putu Yoga; Yati, Christina Purnama; Rahayu, Ni Luh Wiwik Sri
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.573

Abstract

Komunikasi antara penyandang tunarungu dan masyarakat umum di Indonesia masih terbatas akibat rendahnya pemahaman terhadap Sistem Bahasa Isyarat Indonesia (SIBI) yang secara resmi diakui oleh pemerintah. Penelitian ini bertujuan untuk mengevaluasi performa tiga model deteksi objek berbasis deep learning MobileNetV2-SSD, MobileNetV2-RetinaNet, dan YOLOv11 dalam mendeteksi bahasa isyarat SIBI, serta merekomendasikan model terbaik untuk implementasi di perangkat Android. Sistem dirancang dengan fokus pada efisiensi agar dapat digunakan secara optimal di perangkat mobile. Hasil evaluasi menunjukkan bahwa MobileNetV2-SSD memberikan performa terbaik dengan mean Average Precision (mAP) sebesar 99,7% dan kecepatan 9 frame per second (FPS). YOLOv11 memperoleh mAP sebesar 89,8% dan 5 FPS, meskipun mengalami fluktuasi pada validation loss. Sementara itu, MobileNetV2-RetinaNet awalnya mencatat mAP sebesar 38,8%, namun meningkat hingga 87,69% pada rasio dataset 70:15:15. Meskipun akurasinya membaik, model ini tetap kurang ideal karena kecepatan inferensi hanya mencapai 2 FPS.Penelitian ini diharapkan dapat menjadi kontribusi awal dalam pengembangan teknologi penerjemah bahasa isyarat yang inklusif dan efisien, guna meningkatkan aksesibilitas komunikasi bagi penyandang tunarungu di Indonesia.
PENGGUNAAN ALGORITMA TEXTRANK UNTUK PERINGKASAN OTOMATIS BERITA BAHASA INDONESIA Artha, I Putu Mahesa Kama; Dewi, Ni Wayan Jeri Kusuma; Rahayu, Ni Luh Wiwik Sri
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.574

Abstract

Situs berita sering menyajikan paragraf atau kalimat yang panjang, disertai dengan berbagai detail tambahan yang tidak selalu relevan dengan kebutuhan informasi pembaca. Oleh karena itu, diperlukan metode seperti Textrank untuk melakukan peringkasan otomatis. Penelitian ini membahas penerapan algoritma Textrank dalam peringkasan otomatis berita berbahasa Indonesia. Hasil evaluasi menunjukkan nilai ROUGE-1 dengan Precision 0.7708, Recall 0.6930, dan F1-Score 0.7216. ROUGE-2 dengan Precision 0.6936, Recall 0.6212, dan F1-Score 0.6480, serta ROUGE-L dengan Precision 0.7210, Recall 0.6465, dan F1-Score 0.6741. Hasil rata-rata matriks evaluasi ROUGE akhir sebesar 0.6812 mengindikasikan bahwa sistem memiliki performa yang baik dalam menghasilkan ringkasan.
DESIGN AND DEVELOPMENT OF A POSTCARD-INTEGRATED AUGMENTED REALITY APPLICATION FOR EDUCATIONAL EXPLORATION OF LOMBOK ISLAND TOURIST ATTRACTIONS Rassy, Regania Pasca; Amarta Putra, Lalu Romy Rahmad; Rustanto, Muhammad Rifkyandryan; Imkani, Nazila; Audiarrahman Charisma, Risfanda; Tri Lusiana, Zahra
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.578

Abstract

Indonesia possesses diverse tourism destinations, including Lombok Island, known for its natural landscapes and cultural heritage. However, the introduction of local tourism knowledge to elementary school students remains limited, as textbooks and two-dimensional images predominate, which are less engaging for digital-age learners. This study aims to design and develop an augmented reality-based mobile application to support the educational exploration of tourist attractions on Lombok Island. The development process adopted the Multimedia Development Life Cycle model, which comprises the concept, design, material collection, assembly, testing, and distribution stages. The application visualizes prominent destinations such as Mount Rinjani, Gili Trawangan, and Sade Village through interactive three-dimensional objects accompanied by concise educational information. Functional testing results indicate that the application operates effectively on mobile devices and provides an interactive learning experience. The findings suggest that integrating Augmented Reality technology into local geography and cultural education enhances student engagement and understanding. The application can serve as an innovative digital learning medium to promote awareness and appreciation of regional heritage among elementary school students.

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