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All Journal P2M STKIP Siliwangi Journal of Applied Data Sciences Journal of Information System and Technology (JOINT)
Yoputra, Keaton
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education

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Development of a Responsive Portfolio Website and Online Ordering System for CV Putra Pahala Tua Yoputra, Keaton; Suwarno
Journal of Information System and Technology (JOINT) Vol. 5 No. 2 (2024): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v5i2.9492

Abstract

The importance of a portfolio website cannot be ignored, especially for micro, small, and medium enterprises (MSMEs) who want to increase their business visibility and credibility. Therefore, this website development project is expected to provide MSMEs like CV Putra Pahala Tua an effective tool to compete in an increasingly digitized market. The entire portfolio website and its complementary systems (online ordering system and admin panel) development process uses the Scrum framework guided by Agile principles. The website was developed using the PHP programming language with the CodeIgniter framework. The features developed included: home page, news page, catalog page, login page, as well as an online ordering system for customers to make order requests and an admin panel for company employees to manage front-page content and order requests from customers. Once developed, the website went through black box testing, and was ultimately deployed on the internet through shared hosting, before being handed over to the MSME for management. The website was rated positively by the MSME and is expected to help in enhancing its reputation and provide sustaining benefits.
PENGARUH PUZZLE GAME TERHADAP PERSEPSI BELAJAR MATEMATIKA DI KOTA BATAM Yoputra, Keaton; Anthony, Anthony; Utomo, Kevin Saputra; Evans, Felix; Mandala, Ivan Octovia
P2M STKIP Siliwangi Vol 10 No 2 (2023): Volume 10 Nomor 2: November 2023
Publisher : IKIP Siliwangi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/p2m.v10i2.3911

Abstract

Initially regarded for entertainment purposes only, games have now evolved as a medium for learning. This research’s purpose is to investigate the effects of playing puzzle games towards leaning mathematics. This research uses the quantitative method through distributing questionnaires with senior high school and university students from Batam City as the target population. Linear regression technique is used for analyzing data. Results from this research indicate the variable challenge, engagement, and skill significantly affect the perceived learning of mathematics. This research concludes that puzzle games need to be challenging, fun, and interesting to increase the perceived learning of mathematics effectively. Skill in playing puzzle games could also improve the perceived learning in mathematics. Hence the players will increase their intuition and logical problem-solving ability.
Exploring Machine Learning to Support Software Managers' Insights on Software Developer Productivity Suwarno, Suwarno; Christian, Yefta; Yoputra, Keaton; Estrada, Yuki
Journal of Applied Data Sciences Vol 6, No 3: September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i3.661

Abstract

Software developer productivity is a complex issue with no single, universally accepted definition or measurement. Emerging technologies like machine learning offer a promising opportunity for more accurate productivity measurement. Semi-structured interviews were conducted to gain qualitative insights into software managers’ perception of developer productivity to identify issues and inform the development of applied machine learning solutions. It was discovered that digital distractions significantly hinder developer productivity and conventional methods to monitor developer activity were often inefficient. Therefore, machine learning models were developed to monitor developer activity by classifying screenshots captured during activity, along with the URL and text content scraped from accessed URLs. Train and test data were obtained from a cooperating software house, supplemented with online sources. For screenshot classification, transfer learning using EfficientNetV2B0 outperformed InceptionV3, Resnet50V2, and VGG16, reaching 99.6% accuracy. This was achieved without fine-tuning, which resulted in the fastest training and lowest resource consumption. For content classification, SVC hyperparameter-tuned using grid search outperformed six other classifiers, reaching 88.5% accuracy. The design concept for a web application that utilizes the developed models to help managers measure developer productivity was well-received by the managers interviewed.
Development of a Responsive Portfolio Website and Online Ordering System for CV Putra Pahala Tua Yoputra, Keaton; Suwarno
Journal of Information System and Technology (JOINT) Vol. 5 No. 2 (2024): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v5i2.9492

Abstract

The importance of a portfolio website cannot be ignored, especially for micro, small, and medium enterprises (MSMEs) who want to increase their business visibility and credibility. Therefore, this website development project is expected to provide MSMEs like CV Putra Pahala Tua an effective tool to compete in an increasingly digitized market. The entire portfolio website and its complementary systems (online ordering system and admin panel) development process uses the Scrum framework guided by Agile principles. The website was developed using the PHP programming language with the CodeIgniter framework. The features developed included: home page, news page, catalog page, login page, as well as an online ordering system for customers to make order requests and an admin panel for company employees to manage front-page content and order requests from customers. Once developed, the website went through black box testing, and was ultimately deployed on the internet through shared hosting, before being handed over to the MSME for management. The website was rated positively by the MSME and is expected to help in enhancing its reputation and provide sustaining benefits.
Co-Authors Anthony Anthony Christian, Yefta Estrada, Yuki Evans, Felix Mandala, Ivan Octovia Suwarno Suwarno Suwarno Utomo, Kevin Saputra