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Journal of Informatics and Advanced Computing
Published by Universitas Pancasila
ISSN : -     EISSN : 27220346     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Informatics and Advanced Computing is a leading scientific publication platform that presents the latest and innovative research in the field of informatics and computing. This journal highlights the latest developments, practical applications, and significant impacts of computing technology across various disciplines. We invite researchers, academics, and practitioners to share their findings that contribute to the advancement of science and technology. The Journal of Informatics and Advanced Computing is committed to publishing research that is relevant to real-world challenges. This journal presents innovative computational-based solutions for problems faced by society, industry, and government. We strive to be the primary reference for practitioners who want to apply the latest technology in their work.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 16 Documents
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Search results for , issue "Vol 5 No 2 (2024): Journal of Informatics and Advanced Computing" : 16 Documents clear
Penerapan Metode Iteratif dan Analisis Pieces dalam Pengembangan Sistem Kepegawaian PT XYZ Hasan, Adhitya; Dafid; Farisi, Ahmad
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 2 (2024): Journal of Informatics and Advanced Computing
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i2.7919

Abstract

Efficient and effective employee data management is key to assessing individual performance within a company. This study identifies that the manual methods currently used by PT XYZ are time-consuming and inefficient, potentially leading to damage, loss, or lack of information. Therefore, this study aims to develop a web-based personnel information system using an iterative method and data collection through interviews. The system is built using the React JS framework and MySQL for data storage. Available features include the management of attendance data, leave, transfers, promotions, assignments, rewards, and penalties. The final results of the study show that this system functions well and can enhance the company's performance through more efficient data processing.
Implementasi Metode Rational Unified Process dalam Rancang Bangun Sistem Kepegawaian Berbasis Web PT ABC Julianti, Revicha Sri Aren; Dafid; Farisi, Ahmad
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 2 (2024): Journal of Informatics and Advanced Computing
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i2.7921

Abstract

The employee information system is a collection of interconnected subsystems related to employee data within a company, aimed at providing information on planning, organizing, operations, and decision-making. With technological advancements, this system is designed to manage the collection, processing, storage, and reporting of employee data and can be implemented in various organizations. This research designs a web-based employee information system for PT ABC, a logistics company with 25 employees that currently manages its workforce manually. The system handles recruitment, attendance, leave, and resignation processes, improving data integrity and facilitating management. With differentiated access rights for administrators, directors, and employees, as well as specific features for prospective employees, the system is expected to enhance the company’s operational efficiency.
Perancangan Aplikasi Pengelolaan Keuangan dengan Menggunakan Android Studio Salshavira, Najwabilla
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 2 (2024): Journal of Informatics and Advanced Computing
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i2.8078

Abstract

Financial management is an important aspect of everyday life, but it is often challenging for many individuals and families. This article discusses the development of an Android-based financial management application using Android Studio, which aims to improve financial literacy and financial management efficiency. This application offers transaction recording, report generation, bill reminders, and visual analysis features to facilitate understanding of financial patterns. By utilizing modern technology, this application is expected to help users make better financial decisions and improve the financial well-being of the community. The development of this application uses the use case and class diagram design methods to ensure optimal system design.
Pengujian Basis Path Dengan Metode White Box Pada Portal Rosalia Indah Kelfin Antonius; Naufal Rafif; Sri Rezeki Candra Nursari
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 2 (2024): Journal of Informatics and Advanced Computing
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i2.8085

Abstract

Dalam pembuatan perangkat lunak, pengembangan tidak dapat dilakukan begitu saja tanpa dilakukan pengujian oleh pengembang aplikasi. Pengujian pada perangkat lunak adalah salah satu cara mengidentifikasi bug dan error. Terdapat dua metode pengujian yang berbeda yaitu black box dan white box. Studi ini bertujuan untuk menguji portal Rosalia Indah pada fungsi masuk (login) dan fungsi pendaftaran. Pengujian ini dilakukan dengan teknik basis path yang termasuk dalam metode pengujian white box, pengujian akan memeriksa kemungkinan kesalahan yang terdapat pada portal Rosalia Indah. Untuk melakukan pengujian dengan teknik basis path, perlu dilakukan analisis dari alur program, lalu membuat flowchart, flowgraph, perhitungan cyclometic complexity, dan pembuatan tabel test case. Kesimpulan dari studi ini adalah fungsi masuk(login) dan fungsi pendaftaran berjalan sesuai yang diharapkan atau berhasil, artinya pengguna dapat dengan mudah mendaftar akun serta login ke akun tersebut untuk memesan tiket bis secara online tanpa adanya kendala pada website Rosalia Indah.
Pengujian Grap Based Dengan Menggunakan Metode Black Box Pada LinkedIn Sogen, Sarah Thesalonica; Suhasti, Zion; Fazdian, Muhammad Daffa; Nursari, Sri Rezeki Candra
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 2 (2024): Journal of Informatics and Advanced Computing
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i2.8161

Abstract

LinkedIn, sebagai platform profesional terbesar, menghadapi tantangan dalam memastikan kualitas fitur-fitur utamanya untuk mendukung pengalaman pengguna yang optimal. Penelitian ini mengimplementasikan metode Black Box Testing untuk menguji kualitas perangkat lunak pada berbagai fitur utama LinkedIn, termasuk login, pendaftaran, lowongan kerja, pesan, profil, koneksi, beranda, dan notifikasi. Dengan menggunakan teknik pengujian berbasis grafik (graph-based), penelitian ini berfokus pada pengujian hubungan antar entitas serta validasi alur fungsi yang ada. Hasil pengujian menunjukkan bahwa pendekatan ini mampu mendeteksi kesalahan fungsi secara efektif, memastikan fitur berjalan sesuai spesifikasi, dan meningkatkan pengalaman pengguna. Meskipun terdapat tantangan dalam menangani perubahan dinamis pada sistem, pengujian Black Box berbasis grafik terbukti relevan dan bermanfaat dalam pengembangan perangkat lunak modern.
Perbandingan Optimizer Dalam Klasifikasi Gambar Tas Hitam dan Putih Menggunakan Deep Learning Zion Suhasti
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 2 (2024): Journal of Informatics and Advanced Computing
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i2.8167

Abstract

Perbandingan berbagai optimizer dalam klasifikasi gambar tas hitam dan putih menggunakan teknik deep learning. Dengan meningkatnya penggunaan teknologi deep learning dalam pengenalan pola, penting untuk mengevaluasi kinerja berbagai optimizer untuk meningkatkan akurasi klasifikasi. Dalam studi ini, model convolutional neural network (CNN) diterapkan dan diuji dengan optimizer seperti Stochastic Gradient Descent (SGD), Adam, dan RMSprop. Hasil menunjukkan bahwa penggunaan optimizer tertentu dapat memberikan peningkatan signifikan dalam akurasi klasifikasi. Kata kunci—Klasifikasi Gambar,Optimizer,CNN,Tas

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