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All Journal Antivirus : Jurnal Ilmiah Teknik Informatika Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi)
Aulia Akhrian Syahidi
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Computer Science & IT

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PENGENALAN POLA DAN TINGKATAN MOTIVASI PLAYER DALAM PENGGUNAAN GHOST TRADITIONAL GAME BERDASARKAN ANALISIS LOG DATA Aulia Akhrian Syahidi; Subandi Subandi; Yehezkiel Mulia Hutahayan
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 14 No 1 (2020): Mei 2020
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v14i1.1027

Abstract

Dalam bermain sebuah game, faktor motivasi dalam bermain game sangat memiliki peran penting terhadap keberlangsungan dari misi game tersebut untuk diselesaikan. Penelitian ini bertujuan untuk melaporkan hasil pengenalan pola player dan tingkatan motivasi player pada game yang telah dibangun bernama Ghost Traditional Game. Game tersebut menanamkan unsur Artificial Intelligence (AI) dengan jenis Decision Tree dan Finite State Machine berbasis desktop, terdiri dari sepuluh level dengan kategori kemudahan dan kesulitan yang telah diatur sedemikian rupa pada tahapan Game Design. Metode yang digunakan adalah matching player pattern detection yang direkam melalui log data dan motivation questionnaire technique. Sejumlah 30 orang player mengujicoba game ini, dengan tingkat usia yang berbeda-beda antara 12-22 tahun. Hasilnya adalah untuk pengenalan pola player terhadap iterasi masing-masing level yang digunakan pada saat game testing cenderung lebih cocok sama dengan prediksi pola pada game design, untuk motivasi player dalam menyelesaikan misi game dengan kategori sangat setuju, dan rata-rata waktu yang dibutuhkan oleh player untuk menyelesaikan misi game adalah 60 menit.
Smart Crime Prevention in Smart City Tinjauan Pemetaan dan Rekomendasi Penerapan Sistem untuk Mendukung Smart Living di Banjarmasin Smart City Saberan; Subandi; Aulia Akhrian Syahidi
Prosiding SISFOTEK Vol 7 No 1 (2023): SISFOTEK VII 2023
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Crime in Indonesia, especially in Banjarmasin City, shows a decline between 2020-2022. However, the government must still be vigilant and maintain the safety of citizens from crime, especially in the context of its commitment to realizing a Smart City. Technological advances in Smart Cities also bring new challenges such as increased crime and security risks. This research aims to carry out mapping related to Smart Crime Prevention in the Smart City context to recommend a Smart Crime Prevention system that supports the Smart Living program in Banjarmasin Smart City. The method used is Mapping Review, which involves stages including determining research questions, selecting relevant reference sources, identifying appropriate keywords, carrying out filtering based on inclusion and exclusion criteria, and extracting and synthesizing relevant data. The results of this mapping show that the technology used in Smart Crime Prevention includes Computer Vision, Digital Image Processing, Internet of Things, Closed Circuit Television, Global Positioning System, Embedded Systems, Cloud Computing, Sensors, Big Data, Data Mining, and Artificial Intelligence. Its application includes urban environments, homes, roads, traffic, women’s safety against sexual harassment, and fire hazards and other threats. We recommend that Banjarmasin as a city that is realizing a Smart City must utilize these technologies and appropriate algorithms to minimize crime and keep citizens safe. This is important in supporting the Smart Living program in Banjarmasin City.
Co-Authors Ida Ayu Putu Sri Widnyani Saberan Subandi Subandi Yehezkiel Mulia Hutahayan