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Computer Based Information System Journal
Published by Universitas Putera Batam
ISSN : 23378794     EISSN : 26215292     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Library & Information Science
CBIS Journal diterbitkan dua kali setahun, pada bulan maret dan september. Bidang penelitian yang diterbitkan meliputi data mining, text mining, data warehouse, online analytical processing, artificial intelligence, decision support system, Mobile Application, Software engineering, Software Testing, dll.
Arjuna Subject : -
Articles 6 Documents
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Search results for , issue "Vol. 12 No. 2 (2024): CBIS Journal" : 6 Documents clear
SISTEM PENGENAL JENIS TUMBUHAN MELALUI DAUN MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK Muhammad Hafidz Nur Rachman; Harfa Sabri Ubaid; Virgiawan Sanria
Computer Based Information System Journal Vol. 12 No. 2 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini mengembangkan sebuah sistem pengenal jenis tumbuhan melalui analisis gambar daun dengan memanfaatkan algoritma Convolutional Neural Network (CNN). Sistem ini dirancang untuk mengenali dua jenis tumbuhan, yaitu pepaya dan sirih, menggunakan dataset yang terdiri dari 700 gambar daun (350 gambar daun pepaya dan 350 gambar daun sirih). Proses penelitian meliputi pengumpulan data gambar daun, preprocessing data untuk menyesuaikan ukuran dan format gambar, serta pelatihan model CNN untuk klasifikasi jenis daun. Hasil eksperimen menunjukkan bahwa model CNN yang dikembangkan memiliki tingkat akurasi yang tinggi dalam membedakan antara daun pepaya dan daun sirih. Sistem ini diharapkan dapat berkontribusi dalam bidang botani dan pertanian dengan memberikan alat yang efisien untuk identifikasi tumbuhan berdasarkan karakteristik morfologi daun.
IDENTIFIKASI KESEGARAN DAGING AYAM MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK Zuhdi, Muflih Roid; Setiawan, Riezky Fauji; Saputro, Bintang Ilhan Harjo
Computer Based Information System Journal Vol. 12 No. 2 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v12i2.8843

Abstract

Penelitian ini bertujuan untuk mengidentifikasi kesegaran daging ayam berdasarkan citra menggunakan Convolutional Neural Network (CNN). Dalam industri pangan, penentuan kesegaran daging ayam secara cepat dan akurat sangat penting untuk memastikan kualitas produk dan keamanan konsumen. Metode CNN digunakan karena kemampuannya yang tinggi dalam ekstraksi fitur dan klasifikasi citra. Dataset citra daging ayam dikumpulkan dan diproses untuk melatih model CNN. Kami mengevaluasi performa model klasifikasi biner menggunakan kurva Receiver Operating Characteristic (ROC) dan nilai Area Under the Curve (AUC). Hasil menunjukkan nilai AUC sebesar 0,47, mengindikasikan performa klasifikasi yang kurang baik. Namun, evaluasi menggunakan F1-Score menunjukkan hasil yang sangat positif, dengan nilai F1-Score pelatihan sebesar 0,87 dan validasi sebesar 0,99. Ini mengindikasikan kemampuan prediksi yang kuat dan generalisasi yang baik dari model terhadap data yang tidak terlihat selama pelatihan. Hasil ini menunjukkan potensi penggunaan CNN dalam mengidentifikasi kesegaran daging ayam, meskipun diperlukan perbaikan lebih lanjut untuk meningkatkan performa klasifikasi biner yang diindikasikan oleh nilai AUC.
SISTEM PENDUKUNG KEPUTUSAN KENAIKAN GAJI KARYAWAN MENGGUNAKAN METODE TOPSIS BERBASIS WEB Syaputra, Wendy; Harman, Rika
Computer Based Information System Journal Vol. 12 No. 2 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v12i2.9050

Abstract

This research, titled “Decision Support System for Employee Salary Increase Using the TOPSIS Method Based on Web” addresse the issues of non-transparency and subjectivity in determining employee salary increases at Bintang Moro. Fair and objective salary adjustmentsare crucial for retaining and motivating employees, as well as ensuring the company’s sustainability and growth. Decicion support system (DSS) designed in this study uses the TOPSIS method, implemented as a web based application. TOPSIS method was selected for its ability to rank alternatives based ontheir proximity to an ideal solution, ensuring objective decision making.the research involved collecting data on employee performance and salary increases over thepast three months at Bintang Moro. This data was processed using the TOPSIS method and intergrated into a web-based system developed with PHP and Mysql. Finding indicate that the TOPSIS-based DSS provides more objective and transparent recommendations for salary increases. Web-based system also facilitates management in monitoring and evaluating employee performancemore efficiently. The system implementation leads to more equtable salary decisions, fostering a positive work environment. The research contributes to the field by offering a practical solution for decision support in employee salary management. It can serve as a refrence for developing similar system in other organizarional contexrs
EVALUASI DAN PERANCANGAN USER EXPERIENCE PADA APLIKASI COVE MENGGUNAKAN UX HONEYCOMB Sejati, Wiyar Wilujengning; Sibagariang, Efifania; Setiawan, Hermawan
Computer Based Information System Journal Vol. 12 No. 2 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v12i2.9200

Abstract

This research evaluates the Cove residential rental application using the Honeycomb UX model to improve user experience. Cove provides a residential rental service application in the form of boarding houses. Although the Cove app is available on various platforms, user ratings show some shortcomings. Through a literature review and UX assessment with 15 respondents, this study identified problems in seven important aspects of UX: useful, usable, findable, credible, accessible, desirable, and valuable. After design improvements that included the direct booking feature, user account system, property recommendation, chatbot feature, property rating system, and price transparency, the evaluation results showed a significant increase in user satisfaction, with the average UX score increasing from 3.63 to 4.56. These findings confirm that design improvements based on Honeycomb's UX model can improve overall user satisfaction and experience.
PENGEMBANGAN APLIKASI HUMAN RESOURCE INFORMATION SYSTEM (HRIS) PADA PT. XYZ Suwarno, Suwarno; Jesselyn, Jesselyn
Computer Based Information System Journal Vol. 12 No. 2 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v12i2.9392

Abstract

Dalam era digital ini, pengelolaan sumber daya manusia (SDM) menjadi semakin penting seiring dengan transformasi teknologi yang terus berkembang. Dalam menghadapi tantangan pengelolaan SDM di era digital yang terus berubah, pengembangan aplikasi Human Resource Information System (HRIS) menjadi krusial untuk meningkatkan efisiensi dan keterampilan administratif dalam pengelolaan data karyawan. Penelitian ini dilakukan untuk mengeksplorasi pengembangan aplikasi HRIS berbasis website menggunakan teknologi React.Js dan berbasis mobile menggunakan teknologi React Native dengan metode Agile Scrum pada sebuah perusahaan. Tujuan dari penelitian adalah dengan aplikasi HRIS ini diharapkan dapat meningkatkan efisiensi pengelolaan data karyawan dan mempermudah tugas administratif Human Resource (HR), sejalan dengan kebutuhan akan penyesuaian dengan lingkungan kerja yang semakin dinamis dan kompleks. Metode penelitian melibatkan pembentukan scrum team dengan peran yang jelas, pembentukan product backlog, sprint planning, serta evaluasi berkala melalui pertemuan daily scrum, sprint review, dan sprint retrospective. Hasil dari penelitian ini adalah menghasilkan aplikasi HRIS dengan beberapa modul dan fitur yang sesuai kebutuhan perusahaan. Penelitian ini menunjukkan bahwa penggunaan Agile Scrum dalam pengembangan HRIS dapat memberikan solusi yang efektif dalam mengatasi tantangan pengelolaan SDM di era digital yang terus berubah.
RANCANG BANGUN UI/UX APLIKASI E-COMMERCE BERBASIS FRAMEWORK CODEIGNITER MENGGUNAKAN MODEL LEAN USER EXPERIENCE Tukino, Tukino
Computer Based Information System Journal Vol. 12 No. 2 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v12i2.9393

Abstract

In today's era, some people require more specialized marketplaces for selling items such as driving equipment or automotive-related products. Individuals need consignment services to sell their driving gear like helmets, driving jackets, and other related items. Many people face difficulties in finding suitable and secure storage spaces for their belongings. This study explores the rapid expansion of internet usage, which has spurred the emergence of new business models, notably online marketplaces for buying and selling goods. The research focuses on developing a simple yet effective online store platform, particularly tailored for sellers at the Indonesian Helmet Shop. Employing the prototype method, this research constructs the application through various modeling techniques including use case diagrams, class diagrams, activity diagrams, and sequence diagrams. The primary objective is to create a lightweight, web-based marketplace application that enhances the transaction process between consignment providers and consumers. Preliminary findings suggest that the application facilitates efficient user interactions and transactions. However, further development is required in the areas of user interface (UI) and user experience (UX) to ensure greater consumer satisfaction and engagement. This study underscores the potential of tailored digital solutions in optimizing e-commerce platforms, particularly in specialized market sectors.

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