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All Journal METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Rengga Asmara
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Religion Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences

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OPTIMASI MESIN PENCARI BUKU FIKSI BERDASARKAN PADA SEMANTIK IMPRESI Bimantara, Varidh; Rengga Asmara; Nur Rasyid Mubtada’i
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 5 No. 1 (2019): Maret 2019
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v5i1.415

Abstract

Fiction books are one of the most popular books in Indonesia. There are five most popular genres in fiction books, namely fantasy, mystery, romance, sci-fi, and thriller. Each genre gives a different impression and its own fans for the reader. It is common practice when people choose fiction books based on the title, author, or publisher of the book. However, this does not provide precise search results. In this final project, an application system was developed to find out fiction books based on the semantic impressions contained on the cover of the fiction book. The impression on each book cover is obtained through a survey of fiction book lovers in Indonesia. To get the results of the proximity between the user search and the impression survey data obtained through text mining, as well as the cosine similarity algorithm to calculate the most precise proximity value to the impression expected by the user. The results of this system display fiction books that have the most precise proximity value to the impression expected by the user.
Pembuatan Sistem Dashboard Pemantau Penerangan Jalan Umum (PJU) Terintegrasi di Daerah Keputih Surabaya Weny Mistarika Rahmawati; Ahmad Syauqi Ahsan; Rengga Asmara; Desy Intan Permatasari; Entin Martiana Kusumaningtyas; Mu'arifin; Yuliana Setiowati; Nur Rosyid Mubtada’i; Fitri Setyorini; Bayu Hadi Leksana; Khanza Fadila Azhara
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 5 No. 3 (2025): Mei 2025 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v5i3.701

Abstract

Sistem Dashboard Pemantau Penerangan Jalan Umum (PJU) Terintegrasi di Keputih, Surabaya, dikembangkan sebagai solusi inovatif untuk meningkatkan efisiensi pengelolaan PJU berbasis teknologi Internet of Things (IoT). Sistem ini bertujuan memantau kondisi lampu PJU, cuaca, dan kualitas udara secara real-time dengan integrasi sensor dan teknologi digital. Metode yang digunakan meliputi perancangan sistem, implementasi sensor, pengembangan dashboard berbasis web, serta pengujian dan evaluasi sistem. Hasil menunjukkan bahwa dashboard dapat menampilkan data kondisi lampu, suhu, kelembapan, curah hujan, dan kualitas udara secara akurat dalam satu platform yang mudah diakses. Selain itu, fitur seperti Live CCTV, Chatbot Service, dan kontrol lampu manual/otomatis berhasil diimplementasikan. Dengan adanya sistem ini, pengelolaan PJU menjadi lebih responsif, efisien, dan berbasis data, sehingga dapat meningkatkan keselamatan pengguna jalan dan mendukung pengambilan keputusan yang lebih baik.
Co-Authors Ahmad Syauqi Ahsan Bayu Hadi Leksana Bimantara, Varidh Desy Intan Permatasari Entin Martiana Kusumaningtyas Fitri Setyorini Khanza Fadila Azhara Mu'arifin Nur Rasyid Mubtada’i Nur Rosyid Mubtada’i Weny Mistarika Rahmawati Yuliana Setiowati