Garuda - Garba Rujukan Digital

Pengembangan Aplikasi Katalog Perpustakaan Terintegrasi Menggunakan Metode RESTful pada Perpustakaan Kota Semarang dan Perpustakaan Daerah Jawa Tengah Egia Rosi Subhiyakto; Yani Parti Astuti; Novita Kurnia Ningrum
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 2 (2018): JPIT, Mei 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i2.834

Development of technology allows access to information becomes an easy thing to do. Along the way, the majority of agencies, both private and government, have an adequate source of information in the form of website applications. The use of website applications is growing in terms of access to information. It is not unusual that access to the current library catalog more uses an information system. The problem arises when the number of library catalogs that can be accessed but still separate, in the sense of having to move from one website to another website to access the catalog. The existence of web service technology is a solution to connect access one website application with another website. In this research, the library catalog access is integrated. The library is a case study of the library of Semarang City and Central Java Regional Library. The method used in this research is a light RESTful method in resource consumption so that it can be more efficient. The catalog integration application has been successfully built using the PHP programming language and MySQL database. Evaluation results show the application has been built, have a satisfactory performance, easy to use, useful and the majority of users are satisfied to use the application.

Pendampingan Penggunaan Media Pembelajaran Game Edukasi "Code.org" bagi Siswa SMP Ibu Kartini Semarang Yani Parti Astuti; Egia Rosi Subhiyakto; Liya Umaroh; Totok Sutojo; Catur Supriyanto
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 1 (2024): JANUARI 2024
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v7i1.1799

Transformasi pendidikan lewat kebijakan merdeka belajar adalah perwujudan demi mewujudkan SDM Unggul Indonesia yang memiliki Profil Pelajar Pancasila. Merdeka belajar ditujukan untuk jenjang pendidikan dasar dan pendidikan menengah seperti SMP/SMA/SMK/Sederajat. Jenjang SMP yang pada kurikulum 2013 tidak ada mata pelajaran TIK, tapi pada saat akan masuk SMA dituntut untuk bisa materi TIK secara dasar. Untuk itu tim pengabdian Udinus menawarkan adanya suatu kerja sama yang intinya memberi pelatihan dan pendampingan kepada siswa – siswa SMP Ibu Kartini belajar materi tentang TIK. Agar materi yang akan diberikan tidak membosankan, maka materi tersebut akan diambil tema game edukasi. Banyak geme edukasi yang tersebar di dunia teknologi saat ini, maka tim pengabdi memilih metode yang sesuai dengan siswa SMP dan bisa menjadi bekal siswa – siswa tersebut dalam menghadapi program merdeka belajar saat SMA nanti. Metode yang akan diambil adalah metode pemahaman logika dalam pemrograman computer yang ada pada game edukasi code.org. Dalam game tersebut siswa bisa mengerjakan 20 game yang tingkat kesulitannya berdasarkan logika pemrograman computer yang nantinya akan dipelajari di SMA. Dengan pelatihan game edukasi ini, siswa bisa benar – benar mengerti tentang logika pemrograman. Pada akhir pelatihan ini, siswa akan mendapatkan sertifikat dari code.org bila bisa menyelesaikan 20 game dengan benar.

Penerapan Metode Naïve Bayes Classifier Untuk Klasifikasi Sentimen Pada Judul Berita Yani Parti Astuti; Alrico Rizki Wibowo; Etika Kartikadarma; Egia Rosi Subhiyakto; Nurul Anisa Sri Winarsih; Muhammad Syaifur Rohman
LogicLink Vol. 1 No. 1, June 2024
Publisher : UIN K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v1i1.7684

News has a major role as a source of information to convey reports on opinions, events, and the latest findings in various aspects of life. News headlines, as an important component, can be a determinant of news content. The sentiment contained in news headlines can be classified using sentiment analysts, as is the case in the online media platform Kompas.TV. News headlines are retrieved using an automated program that utilises the HTML body with the help of NodeJs as the technology for program creation. This research is focused on the application of Naïve Bayes Classifier method to classify sentiment on Kompas.TV news headlines in Semarang City. The results showed an accuracy rate of 91.04%, with a ratio of training data and test data of 90:10. The conclusion of this study is that the Naïve Bayes Classifier method is effective in identifying news headlines with negative sentiment on Kompas.TV, with a precision of 89% and recall of 94%. This finding makes a positive contribution to the understanding of sentiment analysis on news headlines in online media, especially in the context of Kompas.TV news in Semarang City.

Pengembangan Aplikasi Telemedicine Carevul Sebagai Optimalisasi Pelayanan Kesehatan Berbasis Cloud Nurul Ismawati; Egia Rosi Subhiyakto
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.2150

Telemedicine is a healthcare service that utilizes information and communication technology to offer virtual medical services, eliminating the need for the physical presence of patients and medical professionals in a single location. The development of telemedicine enhances the accessibility of healthcare services, helps overcome constraints of time and resources, and can reduce healthcare service costs. Consultation services at UPT Puskesmas Tirto Kota Pekalongan are still manual and have not fully optimized the use of technology. The process of meeting the needs for consultations with doctors requires a direct visit to the health center, resulting in a significant use of time and resources. Therefore, a website-based system is needed as a platform to provide easy and practical online telemedicine consultation services. This research employs the prototyping development method, allowing users to participate by evaluating and providing feedback during the development process. System testing using Blackbox and User Acceptance Test (UAT) shows a user satisfaction percentage of 89.6%, indicating that the majority of users strongly agree with the developed website. The development of this website is expected to facilitate users and medical personnel in conducting online consultations anywhere and anytime without the need to visit the health center.

User-Centered Design Approaches to Enhance Employee Attendance Applications Wahyu Maulana Prawiro; Egia Rosi Subhiyakto
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.798

In the current digital era, Human Resource Management (HRM) has undergone significant transformation with the advent of technology, including employee attendance applications. These applications replace inefficient and error-prone manual methods, facilitating effective attendance, leave, and monitoring of working hours. This study aims to apply a user-centered design (UCD) approach to developing an employee attendance application to enhance user experience (UX). Evaluation using the System Usability Scale (SUS) revealed a usability score of 86.37, classified as "Excellent." This score reflects positive user reception and underscores the importance of user-focused approaches in development. This research shows how user-tailored features can improve attendance management efficiency and effectiveness by aligning the application with user workflows. Despite the positive results of this study, recommended to continue periodic design iterations with regular user feedback to improve usability and satisfaction.

Implementing Long Short Term Memory (LSTM) in Chatbots for Multi Usaha Raya Ilham Dwi Raharjo; Egia Rosi Subhiyakto
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.934

The furniture industry is an important sector in Indonesia that supports the economy and provides quality furniture. An in-depth understanding of the furniture business is essential for industry players to improve operational efficiency and customer satisfaction. This research aims to develop a chatbot for Multi Usaha Raya furniture company to improve customer service and operational efficiency. In its development, the Machine Learning Model Development Life Cycle (MDLC) and deep learning approach using the Flask platform are employed. LSTM, a type of recurrent neural network (RNN) architecture capable of handling long-term dependencies, is utilized in this chatbot model. The model training results show an accuracy of 99%, validation accuracy of 96%, loss of 0.1%, and validation loss of 0.2% after 200 epochs, demonstrating the effectiveness of the LSTM algorithm for developing a chatbot in this company.

User-Centered Design Approaches to Enhance Employee Attendance Applications Wahyu Maulana Prawiro; Egia Rosi Subhiyakto
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.798

In the current digital era, Human Resource Management (HRM) has undergone significant transformation with the advent of technology, including employee attendance applications. These applications replace inefficient and error-prone manual methods, facilitating effective attendance, leave, and monitoring of working hours. This study aims to apply a user-centered design (UCD) approach to developing an employee attendance application to enhance user experience (UX). Evaluation using the System Usability Scale (SUS) revealed a usability score of 86.37, classified as "Excellent." This score reflects positive user reception and underscores the importance of user-focused approaches in development. This research shows how user-tailored features can improve attendance management efficiency and effectiveness by aligning the application with user workflows. Despite the positive results of this study, recommended to continue periodic design iterations with regular user feedback to improve usability and satisfaction.

Implementing Long Short Term Memory (LSTM) in Chatbots for Multi Usaha Raya Ilham Dwi Raharjo; Egia Rosi Subhiyakto
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.934

The furniture industry is an important sector in Indonesia that supports the economy and provides quality furniture. An in-depth understanding of the furniture business is essential for industry players to improve operational efficiency and customer satisfaction. This research aims to develop a chatbot for Multi Usaha Raya furniture company to improve customer service and operational efficiency. In its development, the Machine Learning Model Development Life Cycle (MDLC) and deep learning approach using the Flask platform are employed. LSTM, a type of recurrent neural network (RNN) architecture capable of handling long-term dependencies, is utilized in this chatbot model. The model training results show an accuracy of 99%, validation accuracy of 96%, loss of 0.1%, and validation loss of 0.2% after 200 epochs, demonstrating the effectiveness of the LSTM algorithm for developing a chatbot in this company.

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