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Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30318998     EISSN : 3031898X     DOI : 10.61132
Core Subject : Science,
Computer Science & IT
hasil-hasil penelitian di bidang Ilmu Komputer Dan Teknologi Informasi. Neptunus : Jurnal Ilmu Komputer Dan Teknologi Informasi berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama para peneliti dalam bidang Ilmu Komputer Dan Teknologi Informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 156 Documents
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Analisis Dampak Penggunaan Internet Terhadap Minat Belajar Mahasiswa : Studi Kasus : Institut Teknologi Del Melisa Septiani Togatorop; Mariana Simanjuntak
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.212

Abstract

Institut Teknologi Del (IT Del) is a technological-focused institution of higher education located in Sitoluama, North Sumatra. Emphasizing innovation in technology, IT Del is an ideal setting to explore the impact of internet usage on the learning process. This study aims to examine the influence of internet usage on student learning interest at IT Del. Using the Theory of Reasoned Action (TRA) as a theoretical framework, the research investigates the relationship between attitudes toward internet usage and social influence on learning interest. Data were collected through an online survey from 50 IT Del students. Multiple regression analysis indicates that both attitudes toward internet usage and social influence have a significant positive impact on student learning interest. The research findings reveal that 44.2% of the variation in learning interest can be explained by these independent variables. These findings underscore the importance of integrating internet technology in educational strategies and the significant role of academic social environments in enhancing student learning interest. This study provides valuable insights for IT Del and other higher education institutions in designing effective learning policies and practices in the digital era.
Rancang Bangun Sistem Informasi Perpustakaan SMA Negeri 1 Sreseh Sampang Berbasis Website Dengan Metode Rad Fais Irwanda; Agussalim Agussalim; Abdul Rezha Efrat Najaf
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.214

Abstract

Currently, the development of information technology has advanced in all sectors, one of which is the education sector which plays an important role in optimizing library functions and services in educational institutions. SMA Negeri 1 Sreseh Sampang developed a library information system to increase effectiveness and accessibility in managing libraries. System development was carried out using a RAD approach, including workshops on requirements planning, design and implementation. During implementation, the system utilizes a web platform compiled with the Laravel framework and MySQL database. The results of this research show that the library information system of SMA Negeri 1 Sreseh Sampang can cover all library business needs and can be used by all library members and employees, so that information can be presented more quickly and efficiently.
Peningkatan Kualitas Pembelajaran Pengolahan Citra Digital Pada Program Studi Teknik Informatika Menggunakan Model Problem Based Learning Mila Nurjanah; Yovi Litanianda
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.219

Abstract

This research explores the application of the Problem-Based Learning (PBL) model to improve the quality of digital image processing learning in the Informatics Engineering Study Program. Through in-depth interviews, observations, and document analysis, this research shows that PBL has a positive impact on students' conceptual understanding, technical skills, and involvement in the learning process. Nevertheless, challenges such as planning relevant learning problems and evaluating the learning process were also identified. Support and training are needed for lecturers to overcome these challenges. These findings provide valuable insights for the development of problem-based teaching practices in the context of digital image processing.
Sistem Pendukung Keputusan Pemilihan Perguruan Tinggi di Surakarta Menggunakan Metode AHP Illa Dwi Pratiwi; Ananda Argianto; Rangga Galih Wardani; Benaya Chessa Sarmanela; Manase Rezata Purba; Ririn Aprilia
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.220

Abstract

Choosing a university is a critical decision for prospective students, impacting their future education and career trajectory. To aid in this decision-making process, a Decision Support System (DSS) can assist students in selecting a university that aligns with their specific criteria and preferences. This study developed a decision support system using the Analytical Hierarchy Process (AHP) method for university selection in Surakarta. The AHP method was selected for its capability to handle multi-criteria problems by systematically comparing each criterion pair and evaluating their relative importance. The criteria considered in this research encompass academic excellence, facilities, location, expenses, and reputation. This system aims to offer more objective and precise recommendations to prospective students seeking universities in Surakarta.
Sistem Informasi Inventory Barang Pada Toko Agen Umi Berbasis Web Menggunakan Metode Prototype Dhea Amalia Putri; Chrisantus Tristianto
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.223

Abstract

In an era where information technology and communication continue to advance, competition in the business world is becoming increasingly intense. Companies must strive and employ strategies to sustain their businesses. Success is closely related to a company's ability to manage inventory effectively to meet customer demand maximally. This research aims to develop a web-based inventory management information system for Toko Agen Umi to facilitate the management of stock data and transactions. The development approach adopted is Prototype. The anticipated outcome of implementing this system analysis is to streamline the creation of Purchase Orders, Delivery Orders, and inventory reports with a user-friendly interface. The application aims to organize inventory management in a more structured, systematic, and computerized manner to prevent calculation errors. It is advised not to adhere strictly to one system to allow for continual learning and development in the process.
Sistem Pendeteksi Penyakit Kanker Kulit Menggunakan Convolutional Neural Network Arsitektur YOLOv8 Berbasis Website Egga Naufal Daffa Tanadi; Dhian Satria Yudha Kartika; Abdul Rezha Efrat Najaf
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.224

Abstract

Skin cancer has high incidence and fatality rates, making accurate and rapid detection crucial. This study developed a web-based skin cancer detection system using YOLOv8. The model detects seven types of skin cancer using a dataset of 3500 annotated images. Methods included data collection, pre-processing, augmentation, model training, and performance evaluation using precision, recall, and mean Average Precision (mAP). Results show that the YOLOv8 model achieved a precision of 0.975 and a recall of 0.969. Evaluation with a confusion matrix demonstrated strong detection capabilities. A web interface was developed to allow users to upload images and view detection results in real-time. The YOLOv8-based skin cancer detection system provides accurate results and can be used as a tool for early diagnosis.
Rancang Bangun Sistem Absensi Berbasis Web Di Madrasah Ibtidaiyah Syamsul Huda Kecamatan Jagakarsa Dede Handayani; Muhammad AlFathir Shaumi; Hasbi Pandiani; M Berlian Wahyu S
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.227

Abstract

In the digital era, the use of information technology in various fields, including education, is essential. Madrasah Ibtidaiyah Syamsul Huda in Jagakarsa District, South Jakarta, faces challenges in recording teacher attendance, which is still done manually, leading to issues such as data inaccuracy and difficulty in recapitulation. This research aims to design and develop a web-based attendance system using PHP, Bootstrap, CSS, HTML, and MySQL. The system is expected to improve the efficiency and accuracy of attendance recording, as well as facilitate real-time access and processing of attendance data. The research methodology includes needs analysis, system design, implementation, testing, and maintenance. The results indicate that the web-based attendance system can provide an effective solution to enhance teacher attendance management at Madrasah Ibtidaiyah Syamsul Huda.
Analisis Klaster dan Klasifikasi Emosi Dalam Musik K-Pop dengan K-Means dan Algoritma C 4.5 Reyhan Jarsi Yoga; Basuki Rahmat; Eka Prakarsa Mandyartha
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.228

Abstract

The main objectives are to identify emotion patterns hidden in K-Pop music based on audio features extracted from the Spotify API and to build an emotion classification model that can predict the emotions of K-Pop songs.In this approach, the K-Means algorithm is used to cluster K-Pop songs based on audio features such as energy, valence, tempo, danceability, and speechiness. The clustering results reveal several main groups that represent variations in musical characteristics and emotions. Next, the C4.5 algorithm was used to build an emotion classification model based on the clustering results. The C4.5 model showed high performance with accuracy reaching 99.48% on a 90:10 dataset split, 99.21% on an 80:20 split, and 98.95% on a 70:30 split.The Streamlit application was developed to visualize emotion predictions from K-Pop songs with a web-based user interface. In addition, Ngrok was used to provide remote access to this application, allowing users to test and use the application remotely.The results of this study show that the combination of K-Means and C4.5 can effectively cluster and classify emotions in K-Pop music, providing valuable insights into the musical characteristics that influence emotions. This application has the potential to be used in further analysis, development of intelligent features in music applications, and improvement of user experience in listening to K-Pop music.
Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Dengan Metode SAW ( Studi Kasus SDN Kedunglumbu) Andhika Dias F; Dandi Riski Saputra; Fajar Bagus Saputra; Naufaldi Rizqi Eka P; Rahmat Nur Shidi
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.232

Abstract

This study develops a Decision Support System (DSS) for selecting outstanding students at SDN Kedunglumbu using the Simple Additive Weighting (SAW) method. The main goal of this DSS is to help the school determine outstanding students more objectively and efficiently. The SAW method was chosen for its ability to provide weighted sums of relevant criteria, ensuring accurate and fair decisions. The system development follows a waterfall approach, with structured stages from planning to implementation. The evaluation criteria include PPKN, Indonesian Language, Science, Social Studies, and Mathematics, with seven students as the evaluated alternatives. The implementation of the DSS successfully displays information about outstanding students clearly, with Natasha Cahya Putri Ayu selected as the outstanding student with the highest preference score of 0.786. System testing using the blackbox testing method confirms that the system operates as expected, and calculations using the SAW method are consistent with manual calculations. Overall, the developed DSS successfully facilitates the selection process of outstanding students efficiently and objectively, while the SAW method proves effective in providing reliable results and supporting better decision-making in the educational environment.
Penerapan Metode Time Series Dalam Forecasting Penjualan Pada “Nasi Goreng Bacot” Bagas Adil Putrajaya; Agung Brastama Putra; Rizka Hadiwiyanti
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.244

Abstract

The restaurant industry in Indonesia has experienced significant growth, driving the need for data-driven strategies to remain competitive. This study aims to apply and compare time series methods in forecasting sales at "Nasi Goreng Bacot" restaurant. The methods used are Simple Moving Average (SMA), Weighted Moving Average (WMA), and Single Exponential Smoothing (SES), with a focus on sales data from the year 2023.The research results indicate that SMA provides the most accurate predictions, with a Mean Absolute Error (MAE) value of 296.67, Mean Squared Error (MSE) of 129055.6, and Mean Absolute Percentage Error (MAPE) of 3.02%. WMA and SES, although useful in certain data conditions, show higher error rates in this case. This study confirms the effectiveness of SMA in the context of stable and less fluctuating restaurant sales data. With these results, restaurants can plan their inventory of raw materials and workforce more efficiently, reduce waste, and improve customer satisfaction.

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