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Sistem Informasi Vaksinasi Pada Balita Menggunakan Metode Waterfall Kurniawan, Rudy; Artha, Emilya Ully; Wibowo, Fahrudin Mukti
Jurnal Komtika (Komputasi dan Informatika) Vol 3 No 1 (2019)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v3i1.3468

Abstract

Mertoyudan Health Center is one of the public health service units located in Magelang Regency, Central Java Province. Data processing and vaccination scheduling for children under five years old at this Health Center are still not optimal. The developments in information technology have caused Mertoyudan Health Center start to develop information services using information technology. One of them is using a web-based information system. This research is conducted for building a web based data processing system and vaccination scheduling for children by implementing the Waterfall method. The results of black box testing on users can be obtained that the system which being built has fulfilled the needs of the Mertoyudan Health Center. The needs that has been met are toddlers data processing, scheduling and immunization for toddlers data reports. This system has become a solution for the availability of valid and transparent information for the immunization officers and The Head of this section at Mertoyudan Health Center.
Analisis Kepuasan Pengguna Aplikasi Wisata Brebes Dengan Metode Technology Acceptance Model (TAM) Stefany, Bagus Aji; Wibowo, Fahrudin Mukti; Wiguna, Citra
Journal of Information System and Informatics Vol 3 No 1 (2021): Journal of Information Systems and Informatics
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v3i1.107

Abstract

Smartphone sebagai perangkat yang sangat dibutuhkan oleh sebagian besar masyarakat saat ini, membuat semakin pesatnya aplikasi berbasis android mendorong masyarakat beralih dan menggunakan. Sistem informasi pariwisata berbasis android Wisata Brebes yang merupakan salah satu alternatif tepat dan bermanfaat untuk sarana mempermudah pengguna dalam melakukan pencarian wisata di Kabupaten Brebes secara instan. Masalah yang terjadi apakah pengguna aplikasi merasa aplikasi wisata Brebes dapat mempermudah pencarian informasi wisata Brebes. Tujuan dari penelitian ini adalah menganalisis kepuasan pengguna dalam menggunakan aplikasi Wisata Brebes menggunakan Technology Acceptance Model (TAM) dan dengan teknik pengambilan sampel yang digunakan adalah simple random sampling. Hasil pengujian analisis kepuasan pengguna menggunakan responden lokal (Brebes) maupun non lokal (luar kota) dan dianalisis dengan TAM, dalam TAM terdapat 2 pengujian uji t (partial) dan uji f (simultan), pada pengujian partial hanya variabel behavioral intention (variabel independen) yang mempunyai pengaruh terhadap variabel attitude toward using (variabel dependen) menghasilkan nilai signifikansi sebesar 0.005 < 0.05 dan nilai t-hitung 2.893 > 1.992, selanjutnya pada pengujian simultan semua variabel independen pada penelitian berpengaruh terhadap variabel dependen menghasilkan nilai signifikansi adalah 0.000 < 0.05 dan nilai f-hitung 8.343 > 2.49. Berdasarkan hasil tersebut menunjukan bahwa sistem informasi pariwisata ini memiliki pengaruh dalam membantu wisatawan mengetahui wisata yang ada dengan lebih mudah, cepat, dan efisien
Adaptive Integration of Distributed Deep Q-Networks for Enhancing OLSR Routing in Dynamic Mobile Ad-Hoc Networks Tirta Segara, Alon Jala; Bahtiar, Arief Rais; Firmansyah, Muhammad Raafi'u; Wibowo, Fahrudin Mukti
Indonesian Journal of Information Systems Vol. 8 No. 2 (2026): February 2026
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v8i2.11760

Abstract

Adaptive routing in Mobile Ad-Hoc Networks (MANETs) poses considerable difficulty owing to the network's dynamic characteristics, lack of stable infrastructure, and swift topology alterations. The Optimized Link State Routing (OLSR) protocol provides a proactive routing mechanism via topology dissemination and MultiPoint Relay (MPR) selection. Nevertheless, it exhibits diminished responsiveness to real-time topology alterations, as it depends on periodic updates and does not explicitly account for link quality. This paper suggests the incorporation of the Deep Q-Network (DQN) methodology into OLSR as a reinforcement learning strategy to improve routing adaptability and efficiency. The DQN model employs network metrics like latency, ETX, buffer occupancy, and neighbor count as state inputs, with actions determined by Q-values obtained via environmental interactions. Simulations conducted with NS-3 and PyTorch demonstrate that OLSR-DQN enhances Packet Delivery Ratio (PDR) by as much as 20%, decreases delay by 15–25%, and markedly boosts throughput in dynamic MANET situations. Keywords: MANET, OLSR, Deep Q-Network, adaptive routing, reinforcement learning