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All Journal Dinamik Techno.Com: Jurnal Teknologi Informasi Jurnal Transformatika Journal of Information System E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi Jurnal Tekno Kompak Jurnal Ilmu Komputer dan Bisnis INSERT: Information System and Emerging Technology Journal Jurnal Pengabdian dan Pengembangan Masyarakat Indonesia Science Technology and Management Journal (STMJ) Computing and Information System Journal
Widjaja, Stephanus
STIMIK AKI
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences

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Journal : Jurnal Transformatika

 1 
Implementasi Twitter Bootstrap dalam Pengembangan Aplikasi Web E-Commerce (Studi Kasus Toko Putra Reban Kendal) Widayati, Yohana Tri; Prihati, Yani; Widjaja, Stephanus; Prakoso, Satrio Agung; Notobudojo, Angeline Renita
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3541

Abstract

This study aims to apply twitter bootstrap in an e-commerce web so that the web display becomes more responsive, that is, it can provide a display according to the device used to access the web. The object of this research is the Putra Reban Store in Kendal which markets local art equipment and supplies, especially masks.The system development method used in this research is the Scrum method with stages including product backlog, sprint backlog, sprint and working increment. This method was chosen because it can save system development time and can transform a business that is difficult to measure into one that is easy to develop. The system is designed with 2 actors, namely admin and customer. Admin has access rights to manage product data, customer data, and order data, while customers have the right to access product data and make order transactions.With this developed system, it is easier for Putra Reban Stores to market their products because product descriptions and product availability stocks can be informed more easily and accurately. With complete and accurate product information, it will also be easier for customers to make transactions.
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.
ANALISIS DAN KOMPARASI ALGORITMA NA VE BAYES DAN C4.5 UNTUK KLASIFIKASI LOYALITAS PELANGGAN MNC PLAY KOTA SEMARANG Widayati, Yohana Tri; Prihati, Yani; Widjaja, Stephanus
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2541

Abstract

Customer loyalty is an important factor to the survival of a company. The problem facting today is related to the descreasing number of customer loyalty that happened to PT MNC Play. If this is allowed   to continue it is not impossible this will endanger the continuity of the company s business.Keep in mind the factors that cause customers to have loyal and disloyal status, data mining classification techniques can be used to classify loyal and disloyal customers. Many data mining classification algorithms can be used, so it needs to be comparative to know the accuracy of each algorithm, the algorithem used is C4.5 and Na ve Bayes. The data used were 28,899MNC Play customer of Semarang City.The results of the classification   process were evaluated using cross validation, confusion matrix, ROC Curve to find the more accurate data mining classification algorithm to determine loyal and disloyal customers.Keywords: Classification, Customers Loyalty, Na ve Bayes, C4.5.
Co-Authors Adiwijaya, Aurelio Akeno Agung Prakoso, Satrio Edwin Prayoga Hadiwidjaja Jutono Gondohanindijo, Jutono Kartika, Erawati Listyawati, Ika Nikolas Dwi Prasojo Nitalia M, Deny Notobudojo, Angeline Renita Nugroho, Mohamad Fajarianditya Prakoso, Satrio Agung Prihati, Yani Priscilla Putri, Christina Putri, Christina Priscilla Putri, Christine Cecillia Putro Wicaksono, Adityo Rafael Ercole Hermanto Risti, Endah Ambar Saguruk, Thepanus Sandeas, Dhegih Tri Widayati, Yohana Wahyu Binabar, Sattriedi Wahyuni, Ana Wibisono, Leo Agung Wicaksono, Adityo Putro Widayati, Yohana Tri