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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 184 Documents
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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: Neptunus: 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: Neptunus: 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: Neptunus: 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: Neptunus: 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: Neptunus: 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.
Implementasi Metode Multinomial Naive Bayes dalam Klasifikasi Judul Berita Clickbait Dicky Satria Mahendra; Basuki Rahmat; Retno Mumpuni
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus: Neptunus: 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.v2i3.249

Abstract

This research aims to classify news headlines into clickbait and non-clickbait using the Multinomial Naive Bayes method. The data used comes from the dataset CLICK-ID: A Novel Dataset for Indonesian Clickbait Headlines. The research process involves stages of data collection, preprocessing, feature extraction, model training, model evaluation, and result analysis. The test results show that the Multinomial Naive Bayes algorithm consistently produces an accuracy rate of around 78%. Optimization using Grid Search did not result in an accuracy improvement. However, there was an improvement in the recall value for the non-clickbait class from 76% to 80%. The best parameter found was an alpha of 0.15. Therefore, the Multinomial Naive Bayes algorithm can be effectively used to address the problem of classifying clickbait news headlines, with the potential to contribute to clickbait prevention efforts in the future.
Media Pembelajaran Interaktiv Aksara Jawa Berbasis Multimedia dengan Animasi 2D Wulan Cahyaningrum; Sri Widiyanti; Lilik Sugiarto
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus: Neptunus: 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.v2i3.250

Abstract

Javanese language is local content for levels from elementary to high school, the aim of learning Javanese is an effort to preserve Javanese culture. Therefore, to achieve these learning objectives, interactive learning media is needed according to students' needs. The researcher developed material introducing Javanese script, using animation media which was created with the aim of achieving the expected goals in the learning process. The results of this research are audio and video based which students can use in learning media. With this media, students can easily learn about the Javanese script presented by the teacher, this speeds up understanding of the material presented by the teacher.
Analisa Komparasi Algoritma Machine Learning dan Deep Learning Dalam Klasifikasi Citra Ras Kucing Royan Fajar Sultoni; Achmad Junaidi; Eva Yulia Puspaningrum
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus: Neptunus: 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.v2i3.251

Abstract

Cats (Felis catus) are a type of carnivorous mammal from the Felidae family that was domesticated and has been one of the animals that has mingled with humans since time immemorial. Domestic cats are broadly divided into 2 types, namely village cats and purebred cats. Purebred cats have quite a varied number of types. Therefore, confusion often occurs in determining the type or breed of cat. Meanwhile, in practice, each race does not have the same treatment (especially in the aspect of care). In digital image processing, Machine Learning and Deep Learning are the main aspects in the process of applying technology that can overcome this problem, so research related to this problem was designed. This research was conducted to add insight for further research in a more sophisticated and effective image recognition process. In the experiments carried out in this research, the SVM, KNN, and CNN methods were tested with the Xception and EfficientNet-B1 architectures. Based on the final results obtained from this test, the CNN method with the Xception architecture is the best model. By using fine-tuning and a learning-rate of 1e-5, this method produces a micro average value of 0.974, on a cat breed image dataset of 13 classes and 7800 images. Meanwhile, the method that produces the fastest ETA Training and Testing is obtained by the KNN method, with an ETA Training time of 0.194 seconds, and an ETA Testing time of 1.782 seconds.
Pengaruh Teknologi Digital terhadap Perkembangan Bisnis Modern Timoty Agustian Berutu; Dina Lorena Rea Sigalingging; Gaby Kasih Valentine Simanjuntak; Friska Siburian
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus: Neptunus: 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.v2i3.258

Abstract

In today's digital era, technology and information are developing very rapidly. The role of technology has brought benefits to humans in all aspects of the field, namely education, economics, social and culture, transportation, etc. With increasingly advanced technology, it is hoped that it will make human work easier in the future. Digital technology has changed the way we work, interact and do business. In today's digital era, old systems and processes must be rethought, and new technologies must be implemented so that businesses remain competitive and grow. High global competition places demands on business actors to continue to improve product innovation by utilizing existing technology to face this global challenge. Utilization of technology such as Increasing Operational Efficiency and Global Business can also help in understanding the changes that occur in the digital business ecosystem. The aim of this research is to determine the influence of digital technology on the development of modern business.
Penggunaan Metode Agile Scrum Pada Perancangan Sistem Informasi Surat Izin Penelitian di BAKESBANGPOL Lombok Tengah Nico Abrarsyah Atallah; Mardi Mardi
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus: Neptunus: 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.v2i3.276

Abstract

This research method examines the application of the Agile Scrum method in designing the research permit information system at Bakesbangpol Central Lombok. The Agile method was chosen because of its ability to accommodate rapid change and increase collaboration between the development team and stakeholders. This research uses a qualitative descriptive approach with data collection techniques through observation, interviews and literature study. The system development process starts from needs analysis, design using Unified Modeling Language (UML), to implementation and testing. The research results show that the Agile Scrum method is effective in increasing the efficiency and quality of the information system being developed. The implementation of this web-based information system is expected to speed up the process of issuing research permits and improve services at Bakesbangpol Central Lombo

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