p-Index From 2021 - 2026
8.686
P-Index
This Author published in this journals
All Journal International Journal of Advances in Applied Sciences Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Pendidikan Teknologi dan Kejuruan Jupiter Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) JUITA : Jurnal Informatika CESS (Journal of Computer Engineering, System and Science) Syntax Literate: Jurnal Ilmiah Indonesia Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Eksplora Informatika PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer SINTECH (Science and Information Technology) Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal RESISTOR (Rekayasa Sistem Komputer) International Journal of Community Service Learning Jurnal EDUTECH Undiksha KOMPUTA : Jurnal Ilmiah Komputer dan Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Ilmiah Sinus JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Teknologi Informasi dan Pendidikan Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) INTI Nusa Mandiri Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informasi dan Teknologi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) JUKI : Jurnal Komputer dan Informatika Jurnal Computer Science and Information Technology (CoSciTech) INSERT: Information System and Emerging Technology Journal Komatika: Jurnal Pengabdian Kepada Masyarakat Jurnal Penjaminan Mutu Journal of Artificial Intelligence and Digital Business Bulletin of Network Engineer and Informatics (BUFNETS) SmartComp Da'watuna: Journal of Communication and Islamic Broadcasting Jurnal SUTASOMA TECHNOVATE Galaksi JIS Siwirabuda (Jurnal Ilmiah Sains Sosial, Kewirausahaan dan Kebudayaan) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Claim Missing Document
Check
Articles

Weighted ANOVA and Mutual Information for Enhanced Intrusion Detection System I Gede Teguh Satya Dharma; I Wayan Rizky Wijaya; I Made Agus Oka Gunawan; Made Pradnyana Ambara
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 1, February 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i1.2448

Abstract

The rapid escalation in the sophistication of network attacks has exposed the limitations of traditional Intrusion Detection Systems (IDS). While machine learning has shown great promise in enhancing IDS performance, its success often hinges on the effectiveness of feature selection. Standard feature selection techniques, however, struggle in cybersecurity applications due to the highly imbalanced nature of network traffic datasets. In such settings, minority attack classes, though critical, are often overshadowed by majority classes, leading to reduced detection of rare intrusions. To address this challenge, we propose a hybrid feature selection framework that integrates Analysis of Variance (ANOVA) and Mutual Information (MI) with a novel class-frequency weighting mechanism. This weighting scheme adjusts the relevance score of each feature according to the distribution of classes, ensuring that features associated with rare attacks are more strongly emphasized during the selection process. We evaluate our method on the UNSW-NB15 dataset using a Support Vector Machine classifier. The results show that our approach achieves substantial gains in recall for underrepresented classes while simultaneously reducing feature dimensionality and maintaining efficiency. By improving the visibility of features tied to minority attacks, the proposed framework provides a more balanced and reliable solution for modern IDS. This contribution advances the detection of rare but impactful threats and highlights a scalable pathway for building more resilient cybersecurity defenses.
Evaluasi Fresto Learning System SMAN 5 Denpasar Menggunakan Metode System Usability Scale (SUS) dan User Experience Questionnaire (UEQ) Arie Samana, I Putu Cerizta; Arya Candra, I Putu Septian; Suwarini, Putu Anik; Gunawan, I Made Agus Oka; Indrawan, Gede
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 16, No 2 (2025): Desember
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jsit.v16i2.3987

Abstract

Fresto Learning System SMA Negeri 5 Denpasar berperan penting dalam peningkatan pelayanan pihak sekolah kepada siswa. Evaluasi berfungsi untuk mengetahui penilaian pengguna terhadap sistem ini. Tujuan dari penelitian ini yaitu untuk mengevaluasi dan mengukur pengalaman pengguna dalam menggunakan Fresto Learning System menggunakan metode System Usability Scale (SUS) dan User experience questionnaire (UEQ) dimana nantinya akan diketahui seberapa baik pengalaman pengguna saat mengunakan sistem informasi ini, sehingga hasil dari evaluasi ini dapat dijadikan sebuah acuan atau rekomendasi oleh pihak sekolah dalam melakukan pengembangan sistem untuk meningkatkan kualitas dan kegunaan dari sistem informasi Fresto Learning System ini. Hasil SUS menunjukkan tingkat usability sistem kurang baik dengan skor rata-rata 50,31. Skor ini menempatkan Sistem Informasi Fresto SMA Negeri 5 Denpasar dalam kategori "Not Acceptable" dengan grade F dan tingkat adjective rating "Poor", serta termasuk dalam kategori "Detraktor" pada Net Promoter Score. Berdasarkan hasil benchmark UEQ, Fresto Learning System SMA Negeri 5 Denpasar memperoleh kategori Bad pada variabel Daya Tarik, Kejelasan, Efisiensi, dan ketepatan. Sedangkan variabel Stimulasi dan Kebaruan memperoleh Below Average.
Evaluasi Kepuasan Pengguna Pada Website SMK Wira Harapan Menggunakan System Usability Scale Gunawan, I Made Agus Oka; Hariyanti, Hariyanti
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 11, No 4 (2022): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v11i4.4247

Abstract

Website SMK Wira Harapan belum pernah dilakukan analisis secara menyeluruh, terutama dalam aspek usabilitynya, Evaluasi usability memiliki banyak teknik dan tahapan untuk dapat menghasilkan rekomendasi perbaikan yang valid. Sehingga, langkah awal yang dapat dilakukan adalah meninjau tingkat kepuasan penggunaan website SMK Wira Harapan sebelum melakukan evaluasi lanjutan. Evaluasi berbasis kuesioner dengan menggunakan system usability scale digunakan dalam penelitian ini. Pada kuesioner ini terdapat 10 butir pernyataan yang mengandung aspek positif dan negatif dalam menilai website. Penelitian ini menggunakan 10 orang peserta didik dan 10 orang tenaga pendidik/kependidikan sebagai responden. Hasil analisis menunjukkan bahwa responden peserta didik menghasilkan nilai kepuasan sebesar 55,5 dan responden tenaga pendidik/kependidikan sebesar 74,25. Berdasarkan nilai yang dihasilkan, dapat dilihat bahwa responden peserta didik masih belum puas dalam menggunakan website dengan nilai yang dihasilkan berada di bawah 68 yang merupakan standar nilai SUS. Sehingga perlu dilakukan evaluasi lanjutan dengan prioritas pada responden peserta didik
Benchmarking User Experience on Mobile Banking Applications in Indonesia: A Comparative Study Using the User Experience Questionnaire Kadek Yunita Dewi; I Dewa Ayu Indah Saraswati; Yulia Mariasmi Kiuk; Gede Rasben Dantes; Gede Indrawan; I Made Agus Oka Gunawan
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1087

Abstract

Intense competition in digital banking services demands the optimization of User Experience (UX); however, the UX quality across mobile banking applications has not yet been comprehensively mapped. This study conducts a comparative analysis of mobile banking applications in Indonesia through a preliminary observation using a purposive sampling technique. The evaluation was carried out using the User Experience Questionnaire (UEQ) to measure six UX dimensions, with reliability testing confirming that the instrument was reliable. The results show all applications achieved positive scores across the six UEQ dimensions. BRImo (BRI) ranked highest overall, particularly in the efficiency (2.225) and dependability (2.188) dimensions, BNI Mobile Banking excelled in the novelty dimension, with the highest score (2.088). In addition, BNI Mobile Banking recorded higher efficiency (2.113) and dependability (1.913) scores compared to Livin’ by Mandiri and BCA Mobile. Meanwhile, BCA Mobile outperformed Livin’ by Mandiri in the perspicuity (1.988) and stimulation (1.925) dimensions, whereas Livin’ by Mandiri only surpassed BNI Mobile Banking and BCA Mobile in the attractiveness dimension (1.900). However, the results of the Kruskal–Wallis test indicate that the differences in scores among the applications were not statistically significant. Based on the global UEQ benchmark, all four applications demonstrate very good UX quality, predominantly in the excellent category. BRImo is the only application that achieved the excellent category across all dimensions, while Livin’ by Mandiri obtained two dimensions in the good category, followed by BNI Mobile Banking and BCA Mobile, each with one dimension in the good category.
Classification Brain Tumor in HyperparameterOptimization of VGG-16 Model and Data Augmentation Analysis Ayu, Putu Desiana Wulaning; Dharma, I Gede Teguh Satya; Wijaya, I Wayan Rizky; Gunawan, Made Agus Oka; Apriyanthi, Ni Putu Eka; Dhewanty, Civica Moehaimin
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 1, March 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

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

Abstract

This Advancements in computational technology have driven the development of Deep Learning, particularly Convolutional Neural Networks (CNN), in the classification and recognition of digital images. This research focuses on the classification of MRI brain tumor images using the VGG-16 architecture. The primary challenges include gradient vanishing and overfitting due to a small dataset. The objective of the study is to evaluate the performance of the model with various data augmentation techniques and to assess the impact of different dataset compositions (90:10 and 70:30) for training and testing. Two model configurations are used: Model A with 4096 neurons and Model B with 128 and 64 neurons in the first two Dense layers, respectively. The tested augmentation techniques include rotation, flip, Zoom , and their combinations. The results indicate that rotation and Zoom augmentations provide the best performance for both models and dataset compositions. Model A (90:10) achieved an accuracy of 96% with rotation and 92% with Zoom, while Model B (90:10) achieved 94% with rotation and 98% with Zoom. For the 70:30 composition, Model A achieved 94% (rotation) and 90% (Zoom ), while Model B achieved 95% (rotation) and 96% (Zoom ). This research provides valuable insights into optimizing VGG-16 architecture for brain tumor classification using limited datasets.
Comparative Analysis of User Experience between Teachers and Students on Vocational School E-learning using UEQ+ Pringgadhana, I Made Lanang Putra; Putra, Rian Permana Yatmika; Putera, Hagi Semara; Dantes, Gede Rasben; Indrawan, Gede; Gunawan, I Made Agus Oka
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 02 (2026): MAY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i02.2599

Abstract

The rapid digital transformation in the Industry 4.0 era has increased the adoption of e-learning systems in vocational education, making user experience (UX) evaluation essential. Previous studies have mainly focused on student’s perspectives, while teachers UX remain underexplored. This study aims to compare the UX perceptions of teachers and students toward the e-learning system at SMK TI Bali Global Jimbaran using the User Experience Questionnaire Plus (UEQ+). A quantitative approach was employed involving 74 students and 17 teachers who had used the system for at least one year. Seven UEQ+ dimensions were analyzed, and differences were tested using the Wilcoxon Signed Rank Test. The result show that teachers rated attractiveness, intuitive use, visual aesthetics, content quality and content trustworthiness positively (mean scores >1.0). Efficiency was rated moderately (M=0.21), while social interaction received a very low score (M=-1.34). Students rated most dimensions as fair to good (mean scores around 0.5-1.0), whereas efficiency and visual aesthetics were considered acceptable but requiring improvement. Social interaction was evaluated as neutral to slightly negative. These findings demonstrate significant difference in UX perceptions and highlight the need for improved interaction features and system performance in vocational e-learning systems.
Co-Authors Ade Surya Indrawan Adiputra, I Gst. Ngr. Surya Aditya, Eka Agung Siaomitri, Gusti Ayu Agus Ariwanta, I Putu Yesha Agustini, Ni Wayan Eva Anak Agung Candra Widyaningsih Arditaloka, I Wayan Angga Ariawan, Wayan Eka Arie Samana, I Putu Cerizta Arie Suari, Ni Luh Arimbawa, Gusti Putu Arya Artayasa, I Kadek Dwi Artha Pradana, Pande Wayan Artha, I Gede Mony Arya Candra, I Putu Septian Aryana Suta, Putu Gde Aryani, Wayan Aryawan, I Komang Budi Mas Astawa, I Gede Karya Ayu Indah Saraswati, I Dewa Civica Moehaimin Dhewanty Damayanthi, Kadek Laksmi Dea Sillviari, Ni Putu Dede Desnantha Putra Dewa, I Dewa Gede Budiastawa Dewi, Ni Made Ayu Krisna Dharmawan, Made Gede Wawan Dika Anggara, I Made Dirgantoro, Guruh Putro Edy Winarno Erawan, Marchia Easti Putri Erna Supriathi, Ni Kadek Evi Yuliana, Evi Gede Indrawan Gede Indrawan Gede Indrawan Gede Rasben Dantes Gemara Adhiyasa Parahita Nugraha Guntar, Elsita Lisnawati Gusti Komang Tri Wismana Hakimi, Musawer Hariyanti Hariyanti Hariyanti Hariyanti Hendra Trinium Jaya, I Komang Hidayat, Acep Taufik I Dewa Ayu Indah Saraswati I Dewa Gede Riswana Agung I Gede Jana Adi Putra I Gede Teguh Satya Dharma I Gede Tiar Eka Saputra I Gusti Agung Istri Pradnya Prameswari I Gusti Ayu Komang Anom Arnita I Kadek Wihendradinata I Komang Adyanata I Komang Deny Supanji I Made Agus Widiana Putra I Made Wahyu Dwi Wismayana I Nyoman Saputra I Nyoman Suarka I Nyoman Triadi Wiguna I Putu Bagus Ambara Yasa I Putu Buda Suyasa I Putu Dody Suarnatha I Putu Dody Suarnatha I Putu Eka Putra I Putu Gede Abdi Sudiatmika I Putu Prima Ananda I Putu Yesha Agus Ariwanta I Wayan Adi Wiratama I Wayan Aditya Wiguna I Wayan Ady Juliantara I Wayan Dodi Putra Artawan I Wayan Rizky Wijaya I Wayan Yudik Pradnyana Ida Ayu Oka Purnami Ida Ayu Putu Ayunda Aprilia Sugiantari Indrawan, Gede Juliantara. KW, Pande Putu Ode Juniastra, Made Gde Kadek Laksmi Damayanthi Kadek Teguh Wahyu Dewantara Kadek Yunita Dewi Ketut Nila Arta Kraugusteeliana Kusuma Wardana, Kadek Laksmi, Ida Ayu Nyoman Limbong, Kevin Gary Luh Joni Erawati Dewi M.T. S.T. I Wayan Sutaya . Made Agus Panji Sujaya Made Pradnyana Ambara, Made Pradnyana Made Santo Gitakarma Made Yuda Sadewa Mahendra, Dewa Gede Agung Mentayani, Ni Putu Anik Muhammad Alwan Nursuhaida Ni Gusti Ayu Putu Raka Elyfiani Wardani Ni Luh Ayu Widiasih Ni Made Nadiya Aryadivani Ni Made Rai Arini Permatasari Ni Putu Eka Apriyanthi Ni Putu Erni Asih Ni Putu Ria Anggreni Parahita Nugraha, Gemara Adhiyasa Pradnyani, Kadek Dian Pramadewi, Pande Made Mahendri Pranata, Putu Ade Pringgadhana, I Made Lanang Putra Putera, Hagi Semara Putra, I Gusti Putu Agung Arka Putra, I Made Agus Widiana Putra, Rian Permana Yatmika Putu Desiana Wulaning Ayu Putu Dian Karmana Riyanti, Apriani Rony Sandra Yofa Zebua Sandhiyasa, I Made Subrata Sandi Wiarsana, I Gede Saraswati, I Dewa Ayu Indah Saraswati, I Dewa Ayu Indah Sariyasa . Sasmita, I Made Adi Sudestra, I Made Ardi Sukla Mandika, Ketut Gde Sumarno, I Wayan Supanji, I Komang Deny Suparsa, I Made Susena, I Gede Ardika Suwarini, Putu Anik T, Taryana Terttiaavini Utami, Ni Luh Putu Sri Wayan Andre Pratama Wiarsana, I Gede Sandi Widya Dharma Sidi Wijaya, I Wayan Rizky Wijaya, Putu Agung Ananta Wikanta, I Made Indra Adhi Williandari, Kadek Aryani Winardana, Made Winarini, Ni Luh Yulia Mariasmi Kiuk