cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
magisterkomputer@unpam.ac.id
Phone
+6281316281847
Journal Mail Official
dosen02680@unpam.ac.id
Editorial Address
Universitas Pamulang Viktor, Lt. 3, Jl. Raya Puspitek, Buaran, Kec. Pamulang, Tangerang Selatan, Provinsi Banten
Location
Kota tangerang selatan,
Banten
INDONESIA
Jurnal Ilmu Komputer
Published by Universitas Pamulang
ISSN : -     EISSN : 3031125X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Jurnal Ilmu Komputer merupakan jurnal ilmiah dalam bidang Ilmu Komputer, Informatika, IoT, Network Security dan Digital Forensics yang diterbitkan secara konsisten oleh Program Studi Teknik Informatika S-2, Program Pascasarjana, Universitas Pamulang, Indonesia. Tujuan penerbitannya adalah untuk memberikan informasi terkini dan berkualitas kepada para pembaca yang memiliki ketertarikan terhadap perkembangan ilmu pengetahuan dan teknologi di bidang-bidang tersebut. Setiap artikel yang dimuat dalam Jurnal Ilmu Kompute merupakan hasil kegiatan penelitian, tinjauan pustaka, dan best-practice. Jurnal Ilmu Komputer terbit dua kali dalam setahun, tepatnya pada bulan Juni dan Desember. Jumlah artikel untuk setiap terbitan adalah 10 artikel.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 14 Documents
 1   2 
Search results for , issue "Vol 2 No 2 (2024): Jurnal Ilmu Komputer (Edisi Desember 2024)" : 14 Documents clear
Analis Data Penjualan Tiket Pesawat Ke Jepang Menggunakan Classic Machine Learning Pada PT. TTD Syarifuddin
Jurnal Ilmu Komputer Vol 2 No 2 (2024): Jurnal Ilmu Komputer (Edisi Desember 2024)
Publisher : Universitas Pamulang

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

Abstract

Airline ticket sales to Japan is an important topic in the ever-evolving travel industry. The unpredictable demand for airline tickets is a common challenge in the aviation industry due to many complex and variable factors. This research analyzes the data on airline ticket sales to Japan using classic machine learning approaches. The data used for the research are the airline ticket sales to Japan in 2022 and 2023 for Japan Airlines and All Nippon Airways. Classical methods such as classification were applied to identify factors influencing the ticket sales patterns. The collected data was cleaned and organized to obtain a dataset for use in Machine Learning with the K-Nearest Neighbors, Naïve Bayes, and Decision Tree algorithms. After evaluating the models created using these three algorithms, the evaluation results with prediction models, model test & score, and confusion matrix, showed that the K-Nearest Neighbor algorithm achieved the highest values compared to the Naïve Bayes and Decision Tree algorithms with an accuracy of 99.5% (model predictions evaluation) & 98.9% (model test & score evaluation). The majority of ticket sales to Japan were for JAL flights, economy class tickets, and spring season being the most popular choices. The conclusion from this data is that Japan Airlines holds a strong market share in ticket sales to Japan
Analisis Kuantitatif Dampak Endorsement Politik Terhadap Tingkat Elektabilitas Pada Pilkada Serentak 2024 Fristiyanto, Doni; Makhsun
Jurnal Ilmu Komputer Vol 2 No 2 (2024): Jurnal Ilmu Komputer (Edisi Desember 2024)
Publisher : Universitas Pamulang

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

Abstract

 Simultaneous Regional Head Elections (Pilkada) in Indonesia took place on November 27 2024, covering 545 regions, including 37 provinces, 415 districts and 93 cities. Voter turnout reached an average of 71% nationally, reflecting public enthusiasm for the political process. This research also highlights the phenomenon of political endorsements from national figures which have proven effective in increasing candidate electability. To explore the phenomenon of political endorsement, this research uses Google News as a tool to collect and analyze relevant online news. The results of the analysis show that there is a significant correlation between the candidate's level of popularity and electability level, with a correlation value of 0.757. Apart from that, the level of positive sentiment towards candidate pairs also shows a strong correlation (0.74) with electability, indicating that candidates with high popularity and positive sentiment tend to have better electability. However, this research found that the number of political endorsements had a stronger influence on candidate electability, with a correlation value of 0.758. This shows that political endorsement can be a more significant determining factor in increasing electability compared to just relying on popularity or positive sentiment. This research provides important insights into the role of political endorsements as an effective strategy in increasing voter support for certain candidates.
Tinjauan Literatur Sistematis Pemodelan ER Untuk Sistem Informasi Bonie Wijaya; Muhammad Fahrizal; Amaliza Afifah Labib
Jurnal Ilmu Komputer Vol 2 No 2 (2024): Jurnal Ilmu Komputer (Edisi Desember 2024)
Publisher : Universitas Pamulang

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

Abstract

Entity-Relationship (ER) Modeling is a fundamental approach in the design and development of databases for information systems. ER Modeling has long been recognized as an effective conceptual tool for database design. However, with advancements in technology and changing modern data processing needs, several limitations or gaps have emerged in its application, particularly when it comes to handling complex and heterogeneous data. This research presents a systematic literature review using the PRISMA framework to evaluate the development methodologies of ER Modeling in a modern context, including its challenges and opportunities. The main focus includes the adaptation of ER Modeling to technologies such as big data, NoSQL, and cloud computing. Key research issues related to ER Modeling include limitations in handling big data, challenges in representing semi-structured and unstructured data, a lack of support for dynamic data and schema evolution, limitations in integration with modern technologies, and deficiencies in representing complex relationships. The main findings reveal the traditional ER Modeling's limitations in managing complex, semi-structured, and distributed data, as well as the need for integration with modern technologies such as IoT and machine learning. This research contributes by offering insights into the development of more flexible and adaptive ER Modeling for current data needs.
Sistem Informasi Install Driver Dan Troubleshooting Produk Berbasis Web Di PT. Axis Media Nilovar Asyiah
Jurnal Ilmu Komputer Vol 2 No 2 (2024): Jurnal Ilmu Komputer (Edisi Desember 2024)
Publisher : Universitas Pamulang

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

Abstract

Every product, especially new hardware, before use must require special procedures in advance in order to be operated.To be able to connect the computer with the hardware in need of a software so that later the hardware is operated easily. Within a certain period of hardware there is usually a problem and product damage that often arises. In order to overcome these obstacles or damage in need of knowledge or correct procedures for hardware that can be repaired and reusable. because of the large number of products it requires a lot of software drivers, and stock software is on the Compact Disk or CD that takes time to look for it and for troubleshooting product problems, often the support team in response to complaints from customers difficulties finding solutions spontaneously because of problems product improvements are usually handled by technicians, so sometimes the support team find out on the internet first or ask with a technician directly. The purpose of this study is the search for drivers, how to install drivers and troubleshooting articles can easily be in, because there is already a container so that drivers live to download without having to search first. As for the procedure of installing the driver or how to solve the troubleshooting of the product just do the title problem and then the article will appear, so in answering questions from customers quickly and assist technicians in completing the repair hardware.

Page 2 of 2 | Total Record : 14

 1   2 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025) Vol 2 No 2 (2024): Jurnal Ilmu Komputer (Edisi Desember 2024) Vol 2 No 1 (2024): Jurnal Ilmu Komputer (Edisi Juli 2024) Vol 1 No 2 (2023): Jurnal Ilmu Komputer (Edisi Desember 2023) Vol 1 No 1 (2023): Jurnal Ilmu Komputer (Edisi Juni 2023)