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All Journal Jurnal Transformatika Journal of Information System JURPIKAT (Jurnal Pengabdian Kepada Masyarakat)
Yohana Tri Widayati
Universitas AKI
Computer Science & IT Dentistry Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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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.
Pelatihan Peningkatan Kualitas Layanan bagi Komunitas UMKM GIK di Kawasan Kota Lama Semarang untuk Mendorong Kepuasan Konsumen Erawati Kartika; Rahmat Budi Santoso; Yohana Tri Widayati; Yani Prihati; Ita Noviana
JURPIKAT Vol 5 No 4 (2024): Vol 5 No 4
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v5i4.3111

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kualitas layanan pelaku UMKM di kawasan Kota Lama Semarang melalui pelatihan service excellence. Permasalahan utama yang dihadapi mitra adalah rendahnya pemahaman mengenai kualitas layanan, belum adanya standar operasional pelayanan, serta keterbatasan keterampilan komunikasi dengan pelanggan. Metode yang digunakan adalah pendekatan partisipatif melalui pelatihan, simulasi, studi kasus, dan pendampingan. Hasil kegiatan menunjukkan bahwa lebih dari 85% peserta mengalami peningkatan pemahaman dan keterampilan dalam memberikan layanan kepada pelanggan. Selain itu, terjadi peningkatan kepuasan pelanggan sebesar 20% setelah pelatihan. Kegiatan ini memberikan dampak positif dalam meningkatkan profesionalisme pelaku UMKM serta memperkuat daya saing usaha di sektor ekonomi kreatif.
ANALISIS DAN KOMPARASI ALGORITMA NA VE BAYES DAN C4.5 UNTUK KLASIFIKASI LOYALITAS PELANGGAN MNC PLAY KOTA SEMARANG Yohana Tri Widayati; Yani Prihati; Stephanus Widjaja
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.
Implementasi Twitter Bootstrap dalam Pengembangan Aplikasi Web E-Commerce (Studi Kasus Toko Putra Reban Kendal) Yohana Tri Widayati; Yani Prihati; Stephanus Widjaja; Satrio Agung Prakoso; Angeline Renita Notobudojo
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 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 Adityo Putro Wicaksono Angeline Renita Notobudojo Christine Cecillia Putri Dhegih Sandeas Endah Ambar Risti Ita noviana Jutono Gondohanindijo Kartika, Erawati Mohamad Fajarianditya Nugroho Rahmat Budi Santoso Satrio Agung Prakoso Widjaja, Stephanus Yani Prihati