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Journal : Jurnal Transformatika

Analysis of Cyber Infinity Game User Interface Design Widayati, Yohana Tri; Prakoso, Satrio Agung; Widjaja, Stephanus; Wicaksono, Adityo Putro; Risti, Endah Ambar
Jurnal Transformatika Vol 21, No 1 (2023): July 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v21i2.6955

Abstract

The development of video games in Indonesia has grown rapidly since 2015, providing quite a large opportunity for the local game industry to compete in the video game market in Indonesia. Video games developed by local developers have not met players' expectations. Video game development needs to be done so that developers from abroad do not completely control the video game market in Indonesia. Game Cyber Infinity is one of the video games developed to answer the local market's needs. It was developed using the Design Thinking method with five stages: Empathize, Define, Ideate, Prototype, and Test. This research produced a Cyber Infinity game prototype with testing using the Black Box testing method.
Decision Tree Implementation in IT Job Recommendation System Widayati, Yohana Tri; Widjaja, Stephanus; Wicaksono, Adityo Putro; Gondohanindijo, Jutono; Putri, Christine Cecillia
Jurnal Transformatika Vol. 21 No. 2 (2024): Januari 2024
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v21i2.8328

Abstract

Employment is the primary activity that humans engage in to generate income. With the advancement of technology and research, there are many new job opportunities leading to confusion in choosing a job path. This leads to individual confusion in making job choices. Ignorance of one's own talents and personality, as well as ignorance of the various options available, can be the source of this ignorance. This research aims to develop a Decision Tree model to assist users in determining the appropriate IT field. The system uses AI Project Cycle and data processing tools such as Google Collaboratory, which is based on Python programming language. The results show that the Decision Tree algorithm can be applied to recommend jobs in the IT field to help users find suitable fields in the IT field.
Sistem Rekomendasi Pemilihan Smartphone Android Dengan Dana Terbatas Menggunakan Modified Simple Additive Weighting (M-SAW) Wicaksono, Adityo Putro
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1561

Abstract

With the development of communication technology today, the smartphone is one of the choices on communication tools that many users have now. Even now, smartphones have various types and prices that reach user needs, so that with limited funds, they can adjust it to their needs. By creating a smartphone selection recommendation systems, it can make it easier for people in determining smartphone purchases based on available funds, with features, brands, and advantages that are already sophisticated today. The recommendation system is made using a combined method called Modified Simple Additive Weighting (M-SAW), where Simple Additive Weighting (SAW) is used for weighting and normalization process, meanwhile Weighted Product (WP) is used for fixing the weight of criteria, determinating vector S, and ranking process. The result for best recommendation using this method is Oppo F5 Youth with score 0,444. With this recommendation results, makes the user make their decision for smartphone recommendation using this system.