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All Journal Jurnal Transformatika Journal of Information System Jurnal Informatika dan Rekayasa Perangkat Lunak
Adityo Putro Wicaksono
Universitas Aki
Computer Science & IT

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Pengembangan UI/UX Sistem Pengelolaan Inventori Menggunakan Metode Design Thinking Stephanus Widjaja; Adityo Putro Wicaksono; Yohana Tri Widayati; Mohamad Fajarianditya Nugroho; Dhegih Sandeas
JOINS (Journal of Information System) Vol 9 No 1 (2024): Edisi Mei 2024
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v9i1.10311

Abstract

System development requires an interface design that suits the user, this is so that the system can be used fully without reducing or ignoring its main functions. Dwi Jaya Store which operates in the wholesale and retail product sales sector faces challenges such as managing suppliers which may be more than one supplier, managing product orders to suppliers based on inventory levels, managing product returns to suppliers if there are defects or damage, managing the traffic of goods from main warehouse to shops and report management. Dwi Jaya Store requires an inventory system that is easy to use but does not reduce the performance and function of the system. This research aims to produce a prototype inventory system that users use easily. This research uses the design thinking method, usability testing method, and Figma as a design tool. This research produced a prototype with a usability testing value of 78.4% which was included in the Good Application category.
Development of the UI/UX for the Madrasah Adaptation E-Module Using the Design Thinking Method Stephanus Widjaja; Adityo Putro Wicaksono; Abdul Rozacky; Farrell Feodora Nikolaus Putra; Chanif Musoffa
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 8 No. 1 (2026): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

Technological developments have brought major changes in the world of education, especially in the development of digital learning media. This study aims to design a user interface and user experience on a mobile-based habituation e-module application at MA Taqwiyatul Wathon as a solution to the limitations of physical modules that have been used in students' daily habituation activities. The method used is Design Thinking which consists of five stages, namely Empathize, Define, Ideate, Prototype, and Test. The research process involved three groups of users, namely students, teachers, and admins through observation, interviews, and direct testing of the High-Fidelity Prototype (Hi-fi) using the In-Person Usability Testing method based on a Likert scale (1–5). The test results showed a Usability Score of 91.7 for students, 97.2 for teachers, and 90 for admins, with the category "Excellent". These results indicate that the designed application is easy to use, has a clear display, and is efficient in navigation. Thus, the habituation e-module application is worthy of further development to support digital learning and habituation activities in the madrasa environment.
Sistem Rekomendasi Pemilihan Smartphone Android Dengan Dana Terbatas Menggunakan Modified Simple Additive Weighting (M-SAW) Adityo Putro Wicaksono
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.
Analysis of Cyber Infinity Game User Interface Design Yohana Tri Widayati; Satrio Agung Prakoso; Stephanus Widjaja; Adityo Putro Wicaksono; Endah Ambar Risti
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 Yohana Tri Widayati; Stephanus Widjaja; Adityo Putro Wicaksono; Jutono Gondohanindijo; Christine Cecillia Putri
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.
Co-Authors Abdul Rozacky Chanif Musoffa Christine Cecillia Putri Dhegih Sandeas Endah Ambar Risti Farrell Feodora Nikolaus Putra Jutono Gondohanindijo Mohamad Fajarianditya Nugroho Satrio Agung Prakoso Widjaja, Stephanus Yohana Tri Widayati