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All Journal Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Putra Pandu Adikara
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Peningkatan Kompetensi Keilmuan IOT Melalui Pelatihan Pengontrolan Perangkat IOT dengan Menggunakan Smartphone untuk Siswa SMK dan SMA di Kota Malang Dahnial Syauqy; Yuita Arum Sari; Putra Pandu Adikara; Muhammad Aminul Akbar; Hurriyatul Fitriyah
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 3 (2020): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v4i3.3785

Abstract

The internet has encouraged the emergence of a new paradigm in the use of computing, marked by the emergence of devices that are connected to each other or known as the Internet of Things (IoT). One of the factors that contributed to the rapid emergence of "things" in the IoT network was the rapid development of chip technology and also increasingly varied wireless communication technology. With the emergence of the phenomenon of the development of IoT, especially those involving entrepreneurial opportunities in related fields, it is considered important to be introduced early on to students of vocational-high school equivalents in Indonesia. The activity was held in September 2019 at Filkom UB involving 41 participants from 6 schools of vocational-high school or equivalent. The activity succeeded in increasing the participant's understanding of the theory and also the practice of IoT where the participants' pre-test and post-test scores increased from an average of 61.6 to 92.9. The implementation of the activity was also declared successful from the results of the questionnaire. From a total of 425 answers, there were 17 STS answers, 39 TS answers, 205 S answers and 164 SS answers. Taking into account the positive and negative components, a recapitulation of 415 answers (98%) was found to be satisfied with the implementation of the activities.
Analisis Perbandingan Efisiensi State Management GetX dan MobX pada Aplikasi Berbasis Flutter (Studi Kasus: Aplikasi Berita) Alwan, Muhammad Fajrul; Agi Putra Kharisma; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 10 No 2 (2026): Februari 2026
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Adopsi Flutter sebagai framework aplikasi mobile terus meningkat, didukung oleh berbagai state management library seperti GetX dan MobX yang menerapkan konsep reaktif. Namun, meskipun pendekatan keduanya sama, terdapat perbedaan mekanisme dan implementasi sehingga mampu memengaruhi responsivitas dan efisensi aplikasi. Pemilihan state management berpotensi memengaruhi performa aplikasi dan pengalaman pengguna, sejalan dengan aspek performance efficiency pada standar ISO/IEC 25010. Penelitian ini membandingkan performa GetX dan MobX berdasarkan lima indikator, yaitu penggunaan CPU, konsumsi memori, waktu eksekusi, frame rate, dan konsumsi daya. Pengujian dilakukan secara eksperimen menggunakan prototipe aplikasi berita melalui tiga skenario penggunaan yang masing-masing dijalankan sebanyak 30 kali. Hasil penelitian menunjukkan bahwa perbedaan performa bervariasi pada seluruh indikator. GetX lebih efisien pada penggunaan CPU pada fitur Melihat Daftar Berita, sedangkan MobX lebih efisien pada konsumsi memori pada fitur Mencari Berita. Tidak ditemukan perbedaan signifikan pada waktu eksekusi. Pada frame rate, MobX unggul pada fitur Melihat Detail Berita. Selain itu, MobX menunjukkan konsumsi daya lebih rendah pada Melihat Daftar Berita dan Mencari Berita, sementara skenario terakhir menunjukkan performa yang setara.
An Expert System for Early Risk Diagnosis of Breast Cancer Using Fuzzy Mamdani and Case-Based Reasoning Rumahorbo, Cicilia Angelica; Arief Andy Soebroto; Putra Pandu Adikara; Diah Prabawati Retnani
Journal of Information Technology and Computer Science Vol. 10 No. 3: Desember 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025103854

Abstract

Breast cancer remains one of the leading causes of morbidity and mortality among women worldwide, making early detection essential to improve treatment outcomes. However, early-stage breast cancer symptoms are often subjective and non-specific, which complicates initial risk assessment. This study proposes an expert system for early breast cancer risk diagnosis by integrating Fuzzy Mamdani and Case-Based Reasoning (CBR). The Fuzzy Mamdani method is employed as the primary inference mechanism to model uncertainty in symptoms and risk factors using linguistic rules, while CBR is utilized as a decision support component by leveraging similarities with previously validated clinical cases. The dataset consists of 150 patient records, of which 123 cases are used as the case base and 27 cases are employed for system evaluation. Experimental results show that the proposed system achieves an accuracy of 92.59% compared to expert judgments. These findings indicate that the integration of Fuzzy Mamdani and Case-Based Reasoning provides an interpretable and adaptive approach for early breast cancer risk assessment and has potential as a screening support tool.  
Analisis Sentimen Publik Terhadap Magang Berdampak 2025 di Platform X/Twitter Menggunakan Model Indobert Brigitta Mery Rosarie Eufra Nilapaksi; Tirana Noor Fatyanosa; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 10 No 4 (2026): April 2026
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Media sosial menjadi sarana diskursus publik bagi masyarakat untuk menyampaikan pandangan terhadap berbagai kebijakan, termasuk pendidikan tinggi. Program Magang Berdampak 2025 sebagai kelanjutan kebijakan Merdeka Belajar Kampus Merdeka menimbulkan beragam respons di platform X, sehingga diperlukan analisis sentimen untuk memahami persepsi publik secara sistematis. Penelitian ini ditujukan dlam rangka menganalisis sentimen publik terhadap Program Magang Berdampak 2025 menggunakan model IndoBERT serta mengevaluasi pengaruh konfigurasi hyperparameter terhadap performa klasifikasi. Data penelitian berupa unggahan berbahasa Indonesia dari platform X yang dikelompokkan dalam klasifikasi sentimen positif, negatif, dan netral. Perolehan pengujian mengindikasikan, model terbaik diperoleh pada epoch ke-6 dengan konfigurasi learning rate 2e-5 dan batch size 32, menghasilkan accuracy 0,7481, precision 0,7720, recall 0,7481, dan f1-score 0,7562. Temuan analisis memperlihatkan dominasi sentimen netral, diikuti negatif dan positif, yang mengindikasikan diskursus bersifat informatif disertai kritik terhadap implementasi program. Temuan ini menegaskan pentingnya pemilihan hyperparameter serta tantangan analisis sentimen pada data media sosial yang tidak seimbang dan kontekstual
Co-Authors Agi Putra Kharisma Akbar, Muhammad Aminul Alwan, Muhammad Fajrul Arief Andy Soebroto Brigitta Mery Rosarie Eufra Nilapaksi Dahnial Syauqy Hurriyatul Fitriyah Retnani, Diah Prabawati Rumahorbo, Cicilia Angelica Tirana Noor Fatyanosa Yuita Arum Sari