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Journal : TECHNOMEDIA : Informatics and Computer Science

ANALISIS USABILITY APLIKASI VISIT PEMALANG MENGGUNAKAN METODE HEART METRICS Ahmad Rozikin; Asnawi, Muhamad Fuat
Tekompedia : Jurnal Ilmiah Ilmu Komputer Vol 1 No 1 (2024): Januari
Publisher : CV Nature Creative Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/technomedia.v1i1.74

Abstract

This research aims to provide valuable insights for researchers and developers of the Visit Pemalang application, focusing on enhancing usability and user experience quality. To achieve this goal, several improvements are suggested, such as presenting appealing content and increasing user satisfaction to make the Visit Pemalang app more effective in meeting visitor needs and enhancing tourism experiences in Kabupaten Pemalang. The HEART Metrics method is utilized to measure user experience quality in the application, encompassing dimensions like Happiness, Engagement, Adoption, Retention, and Task Success. Data is collected through user observation and questionnaires tailored to the HEART Metrics dimensions. The analysis results indicate excellent performance in various HEART Metrics dimensions, particularly in Task Success, Engagement, and Happiness. Users can effectively complete tasks and feel content with their application experience. By implementing the findings from this study, developers can improve the usability and user experience quality of the Visit Pemalang application, elevate user satisfaction, and provide a superior tourism experience in Kabupaten Pemalang..
SISTEM PENDUKUNG KEPUTUSAN KINERJA DOSEN MENGGUNAKAN SISTEM KECERDASAN BUATAN BERBASIS ALGORITMA K-MEANS CLUSTERING Asnawi, Muhamad Fuat; Nur Fitriyanto; M. Agoeng Pamoengkas
Tekompedia : Jurnal Ilmiah Ilmu Komputer Vol 1 No 2 (2024): Juli
Publisher : CV Nature Creative Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/technomedia.v1i2.99

Abstract

This study aims to analyze the teaching performance quality of lecturers in the Faculty of Engineering and Computer Science at Universitas Sains Al-Qur'an using an artificial intelligence system based on the K-Means Clustering algorithm. Evaluating lecturer performance is a crucial step in ensuring the effectiveness and efficiency of the teaching process which includes pedagogical, professional, personality, and social indicators. Conventional approaches are often complex and ineffective in identifying in-depth performance patterns. The K-Means Clustering algorithm enables the grouping of evaluation data into clusters based on feature similarities, thus revealing patterns that are difficult to discern manually. The data used in this study comes from lecturer evaluation questionnaires completed by students during the even semester of the 2022/2023 academic year. The results showed that the clustering process yielded good separation with a Silhouette Score of 0.593 and a Davies-Bouldin Index of 0.606. These findings indicate that the data within the clusters are more similar to each other than to data in different clusters, suggesting effective clustering. The insights gained from this study are expected to be valuable for the management and development of teaching quality and to promote the use of artificial intelligence technology in higher education evaluations. The findings of this study are also expected to be adaptable by other educational institutions to improve academic excellence standards and produce high-quality graduates.
SISTEM INFORMASI JASA PENGIRIMAN BARANG BERBASIS WEBSITE DI KABUPATEN WONOSOBO Khafik Rozak; Muslim Hidayat; Asnawi, Muhamad Fuat; Nur Hasanah; Nulngafan
Tekompedia : Jurnal Ilmiah Ilmu Komputer Vol 1 No 2 (2024): Juli
Publisher : CV Nature Creative Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/technomedia.v1i2.101

Abstract

Small and Medium Enterprises (SMEs) in the villages of Wonosobo are the backbone of the local economy, but they face significant challenges such as market accessibility, infrastructure, and limited human resources. One of the main obstacles is the difficulty in shipping goods, with reliance on local motorcycle taxis that are not always available and have limited capacity, leading to increased costs and delays. This challenge is globally relevant with the rise of electronic commerce and the demand for fast delivery. Understanding the local difficulties in shipping goods is key to designing the right solutions. The author proposes developing a web-based shipping information system in Wonosobo Regency, utilizing Village-Owned Enterprises (BUMDes) in each village as agents. Data collection methods include observation, interviews, and literature study. The development method used is the Waterfall method, with alpha and beta testing to ensure system reliability and usability before market launch. This system aims to enhance the efficiency and effectiveness of goods delivery through digitalization.