cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
NInuk Wiliani
Contact Email
ninuk.wiliani@univpancasila.ac.id
Phone
+6285218111574
Journal Mail Official
jiac@univpancasila.ac.id
Editorial Address
Jalan Srengseng Sawah, Kec. Jagakarsa, Kota Jakarta Selatan, Jakarta Selatan - 12640. Email: jiac@univpancasila.ac.id
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
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 9 Documents
 1 
Search results for , issue "Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC)" : 9 Documents clear
Perbandingan Metode Decision Tree dan Naive Bayes untuk Memprediksi Thyroid Cancer Recurrence Fidya Hafizd; Dian Rizky Julyani; Hasna Yuliza; Emely Nemy Agustine; Kessya Immanuella Surbakti; Iman Paryudi
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Teknik Informatika Universitas Pancasila

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

Abstract

Abstract – This study aims to predict thyroid cancer recurrence by comparing two data mining methods, namely Decision Tree and Naive Bayes. The data used is classification data that has gone through preprocessing and modeling processes, then tested using test and score tests on analysis software called Orange. By using Orange as an analysis tool, experiments were conducted to determine which method gave the best accuracy. The results show that the two methods have different accuracy comparisons in predicting thyroid cancer recurrence. This research is expected to help in identifying symptoms that are at high risk of causing thyroid cancer recurrence and provide valuable insights in data analysis.
Implementasi Failover Router MikroTik Untuk Meningkatkan Ketersediaan Jaringan Pada Fakultas Teknik Universitas Pancasila Husein Zidan; Zahra Jane Arnecia; Leni Oktaviani; Gina Anisa; Bambang Riono Arsad
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Teknik Informatika Universitas Pancasila

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

Abstract

Technology can help manage connectivity that can support data exchange in the network. Using a well-designed topology can improve network performance optimally. The use of computer networks in agencies can enable data exchange via hardware and software that are connected to each other in a network. Topology implementation can be adjusted to user needs. In this research, the author used the Informatics Engineering Study Program building at Pancasila University as an object. Please be aware that the network can experience problems, such as stopping system performance which can hinder the data exchange process that is taking place. The solution provided can be in the form of implementing failover using a MikroTik router. MikroTik routers can be used as backup routers in server infrastructure and failover is an automatic or manual process for switching from a system or component that is failing to a backup system or component that is functioning properly. This can be a strategy and factor in increasing network availability in the Pancasila University engineering faculty building. The final result of the analysis carried out is a MikroTik failover design that will be used in the Pancasila University Faculty of Engineering building.
Sistem Informasi Manajemen Inventori Berbasis Website Untuk Proses Operasional PT Bumi Bara Sakti Faeqal Hafidh Muhammad Asfian; Desti Fitriati
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Teknik Informatika Universitas Pancasila

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

Abstract

Inventory plays a crucial role in the operational management of companies, ensuring smooth supply chains and business continuity. Bumi Bara Sakti (BBS), a coal trading company, relies on accurate inventory management. But, BBS faces difficulties in managing inventory data due to a high volume of transactions, leading to heavy workloads and information delays. Additionally, limited Excel proficiency among BBS executives and employees deepens these issues. This study aims to create a web-based Inventory Management Information System using the waterfall method, MySQL for database management, and CodeIgniter4 as the framework. The research mainly focuses on recording coal sales and purchases, total stock, and truck movements to stockpiles based on data obtained from BBS. The system is expected to facilitate real-time recording of purchases, sales, and stock updates while maintaining information accuracy. Furthermore, it provides data visualization and easily understandable reports. Evaluation results indicate that the Inventory Management Information System simplifies inventory data management and data interpretation for BBS executives and employees.
Perbandingan Metode Decision Tree dan Naive Bayes untuk Memprediksi Thyroid Cancer Recurrence Hafizd, Fidya; Julyani, Dian Rizky; Yuliza, Hasna; Agustine, Emely Nemy; Surbakti, Kessya Immanuella; Paryudi, Iman
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i1.7198

Abstract

Abstract – This study aims to predict thyroid cancer recurrence by comparing two data mining methods, namely Decision Tree and Naive Bayes. The data used is classification data that has gone through preprocessing and modeling processes, then tested using test and score tests on analysis software called Orange. By using Orange as an analysis tool, experiments were conducted to determine which method gave the best accuracy. The results show that the two methods have different accuracy comparisons in predicting thyroid cancer recurrence. This research is expected to help in identifying symptoms that are at high risk of causing thyroid cancer recurrence and provide valuable insights in data analysis.
Implementasi Failover Router MikroTik Untuk Meningkatkan Ketersediaan Jaringan Pada Fakultas Teknik Universitas Pancasila Zidan, Husein; Arnecia, Zahra Jane; Oktaviani, Leni; Anisa, Gina; Arsad, Bambang Riono
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i1.7271

Abstract

Technology can help manage connectivity that can support data exchange in the network. Using a well-designed topology can improve network performance optimally. The use of computer networks in agencies can enable data exchange via hardware and software that are connected to each other in a network. Topology implementation can be adjusted to user needs. In this research, the author used the Informatics Engineering Study Program building at Pancasila University as an object. Please be aware that the network can experience problems, such as stopping system performance which can hinder the data exchange process that is taking place. The solution provided can be in the form of implementing failover using a MikroTik router. MikroTik routers can be used as backup routers in server infrastructure and failover is an automatic or manual process for switching from a system or component that is failing to a backup system or component that is functioning properly. This can be a strategy and factor in increasing network availability in the Pancasila University engineering faculty building. The final result of the analysis carried out is a MikroTik failover design that will be used in the Pancasila University Faculty of Engineering building.
Sistem Informasi Manajemen Inventori Berbasis Website Untuk Proses Operasional PT Bumi Bara Sakti: Bahasa Indonesia Asfian, Faeqal Hafidh Muhammad; Desti Fitriati
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i1.7291

Abstract

Inventory plays a crucial role in the operational management of companies, ensuring smooth supply chains and business continuity. Bumi Bara Sakti (BBS), a coal trading company, relies on accurate inventory management. But, BBS faces difficulties in managing inventory data due to a high volume of transactions, leading to heavy workloads and information delays. Additionally, limited Excel proficiency among BBS executives and employees deepens these issues. This study aims to create a web-based Inventory Management Information System using the waterfall method, MySQL for database management, and CodeIgniter4 as the framework. The research mainly focuses on recording coal sales and purchases, total stock, and truck movements to stockpiles based on data obtained from BBS. The system is expected to facilitate real-time recording of purchases, sales, and stock updates while maintaining information accuracy. Furthermore, it provides data visualization and easily understandable reports. Evaluation results indicate that the Inventory Management Information System simplifies inventory data management and data interpretation for BBS executives and employees.
English English: English Muhammad Rafly
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i1.7404

Abstract

Scholarship is an assistance program in the form of educational funding in the form of being given to assist students in obtaining proper education. SMA Negeri 8 Bogor City as an educational unit that organizes formal education, participates in providing scholarships for its students. The scholarship program at SMA Negeri 8 Bogor City has not used an effective and efficient method in determining the eligibility of students to receive scholarships so that errors often occur such as scholarships that are not on target. To overcome this, a website-based scholarship prediction application was created to predict the eligibility status of students to receive scholarships. Prediction is done using the classification method with the Support Vector Machine model. The results in the composition of 70% training data and 30% testing data get the highest evaluation results with Accuracy 89%, Precision 91%, Recall 95%.
Strategi Pengolahan Stok Berbasis Analisis Cluster Kepopuleran Produk Fahrian, Anjar; Muhammad Naufal Fauzi; Shabrina Putri Ramadhani; Iman Paryudi
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i1.8213

Abstract

Improving customer service in terms of stock availability remains a challenge. Supermarkets often face issues such as stock shortages and overstocking, leading to customer dissatisfaction. To address these challenges, research was conducted on stock management based on cluster analysis of product popularity, aiming to optimize marketing strategies related to product availability. This study employed the K-means clustering algorithm using Google Colaboratory tools. The clustering results revealed that Cluster 1 represents popular products, characterized by a higher average number of products sold and relatively higher customer satisfaction levels compared to Clusters 0 and 2. Cluster 0 represents moderately popular products, while Cluster 2 encompasses less popular products. Based on the visualization, it was observed that product popularity in each city varies: electronic products are most popular in Mandalay and Naypyidaw, while health and beauty products are less popular or fall under Cluster 2 in Naypyidaw. However, health and beauty products are highly popular and record the highest sales in Yangon.
Pemilihan Promosi Perawatan Kecantikan Berdasarkan Pola Pemesanan Pelanggan dengan Menggunakan Algoritma FP-Growth Faradilla, Zyhan; veritawati, ionia
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i1.8319

Abstract

Klinik perawatan kecantikan di Indonesia seperti Impressions Clinic yang menyediakan berbagai jenis perawatan memiliki permasalahan pada persaingan bisnis dan dalam menjalankan promosi masih menggunakan cara manual dengan langsung memilih jenis perawatan yang ada sehingga kurang efektif dalam strategi pemasarannya. Hal tersebut menyebabkan penurunan pendapatan karena berkurangnya pelanggan lama yang kembali ke Impressions Clinic. Untuk mempertahankan pelanggan, diperlukan strategi pemasaran yang lebih efektif, dengan melakukan promosi yang diambil dari jenis perawatan yang sering dipilih pelanggan menjadi satu paket perawatan. Algoritma FP-Growth digunakan untuk menentukan jenis perawatan yang sering dipilih pelanggan dengan mengatur nilai confidence minimum 75%, dan support minimum 2%, untuk mendapatkan hasil terbaik menggunakan aplikasi berbasis web. Hasil penelitian yang diperoleh yaitu jenis perawatan Thread Lift Mono 3O, Filler Treatment, Laneu Gold Mask, Laneu Glowing V Shape Mask, Botolinum toxin, Infusion Whitening dan PDO Thread Lift yang dapat dijadikan acuan dalam promosi jenis perawatan sebagai paket perawatan di Impressions Clinic.

Page 1 of 1 | Total Record : 9

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol 6 No 1 (2025): Journal of Informatics and Advanced Computing Vol 5 No 2 (2024): Journal of Informatics and Advanced Computing Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC) Vol 4 No 2 (2023): Journal of Informatics and Advanced Computing (JIAC) Vol 4 No 1 (2023): Journal of Informatics and Advanced Computing (JIAC) Vol 3 No 2 (2022): Journal of Informatics and Advanced Computing (JIAC) Vol 3 No 1 (2022): Journal of Informatics and Advanced Computing Vol 2 No 2 (2021): Journal of Informatics and Advanced Computing Vol 2 No 1 (2021): Journal of Informatics and Advanced Computing Vol 1 No 1 (2020): Journal of Informatics and Advanced Computing (JIAC)