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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 163 Documents
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Penerapan Metode Prototyping pada Pengembangan Aplikasi “We Listen We Don’t Judge” untuk Analisis Tautan dan Pemberian Saran Otomatis Berbasis Web Bagus Ageng Alfahri; Alfani Azhar; Legiman Samosir; Khalil Gibran
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): 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.v3i3.899

Abstract

This research aims to design and build a web-based application calledWe Listen We Don’t Judgewhich is able to analyze links entered by users, whether from social media or other websites. The system will automatically assess the content of the link, then provide neutral and constructive suggestions or input to users. The system development uses an approachSystem Development Life Cycle(SDLC) prototyping model to obtain a system that meets user needs. The prototype is tested iteratively to obtain feedback before entering the final implementation stage. The final result of this research is an interactive information system that is able to perform link content analysis and provide suggestions with a simple and user-friendly interface.
Perancangan Sistem Informasi Penjadwalan Appointment pada Soraaya Studio Anniwarni Nazara; Serniman Lahagu; Jesika Vinatalia Dachi; Wasis Haryono
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): 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.v3i3.909

Abstract

The rapid development of information and communication technology has opened up significant opportunities to enhance service efficiency in various fields, including the beauty industry. Soraaya Studio, which offers a range of beauty services, currently still manages appointment scheduling manually. This manual system leads to several challenges, such as difficulties in efficient schedule management, data duplication, recording errors, and disorganization in the service reservation process. Furthermore, communication with customers regarding schedule confirmation becomes less effective. With the increasing number of customers, this manual scheduling system is no longer able to meet the growing complexity of operational needs.To address these issues, a web-based appointment scheduling system has been designed, which is integrated and user-friendly. This system is built using the PHP programming language with a MySQL database and features a responsive interface, making it easily accessible from various devices, including desktops and mobiles. Key functionalities provided include real-time creation, modification, and cancellation of appointments, management of service availability, and automated notifications via email or text messages to customers and studio staff. The implementation of this system aims to improve the accuracy and speed of the scheduling process, reduce manual errors, and facilitate schedule monitoring by management and staff, thereby enabling Soraaya Studio to provide a more professional and satisfying service to its customers.
Sistem Pendukung Keputusan Penerimaan Siswa Baru di SMK Fajar Bogor menggunakan Metode SAW Muhammad Faiz Burhanuddin; Abdurahman Abdurahman; Ek Ajeng Rahmi Pinahayu
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): 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.v3i3.935

Abstract

The problem of decision making for admitting new students at SMK Fajar Bogor is that they still use Microsoft Excel so they experience several obstacles and a lack of systematicity in decision making regarding new students at SMK Fajar Bogor. This research aims to design an application to make the processing of prospective new students' grades easier and to design a more systematic decision-making application regarding the admission of new students to SMK Fajar Bogor. This research identifies the criteria for diploma grades, test scores, psychological test scores and zoning. The Simple Additive Weighting (SAW) method was used to design, develop and test a decision support system at the SMK Fajar Bogor school. This system is designed using the PHP programming language and MYSQL database. The results of the research are that the process of processing the grades of prospective new students becomes easier, decision making regarding the acceptance of new students at SMK Fajar Bogor becomes more systematic.
Sistem Manajemen Bengkel Berbasis Web Menggunakan Metode Waterfall (Studi Kasus: Fam Auto) Haekal Aqila, Haekal Aqila; Firda Salsabila Putri; Wasis Haryono
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): 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.v3i3.937

Abstract

Motor vehicle workshops need an information system that can help in managing services, customers, and spare parts stock. This study designs a web-based workshop management system with a case study at the Fam Auto workshop, which aims to improve operational efficiency and data transparency. The methodology used is the waterfall system development model with stages of analysis, design, implementation, and testing. The results of this study are a web-based application that is able to record service transactions, manage customer data, monitor inventory, and generate reports. This system is expected to replace the manual process that has been used at Fam Auto and make it easier for workshop owners to monitor operational activities in real-time.
Pengaruh dan Efektivitas Penggunaan Media Digital LMS dalam Proses Pembelajaran Andri Sahata Sitanggang; Bangkit Yofanka Manalu; Muhammad Anwar; Muhamad Bagas Nursoleh; Dwi Faiz Azhar Restiadi
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): 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.v3i3.945

Abstract

Digital transformation in the world of education has encouraged the use of digital media, particularly Learning Management Systems (LMS), in the learning process. This study aims to analyze the influence and effectiveness of LMS use on improving learning quality, learning motivation, and student engagement. The method used in this study is a Systematic Literature Review (SLR), analyzing ten relevant national scientific articles published within the past five years. The findings indicate that the use of LMS such as Google Classroom, Moodle, and Schoology generally contributes positively to supporting more interactive, flexible, and structured learning. LMS has also proven to enhance learning independence and facilitate learning management by educators. However, its effectiveness is influenced by human resource readiness, digital competencies, and the availability of technological infrastructure. Therefore, continuous training for educators, the selection of LMS tailored to specific needs, and infrastructure support are necessary to achieve effective and sustainable digital learning.
Tantangan dan Peluang Implementasi Smart Governance di Indonesia: Tinjauan Komparatif Literatur untuk Konteks Pekanbaru Alif Addarisalam; Annisa Supriana; Bambang Setia Budi; Raihan Ardyansyah
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): 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.v3i3.946

Abstract

The concept of smart governance has become increasingly crucial in supporting public sector reform through digital transformation. This study aims to identify the major challenges and opportunities in implementing smart governance in Indonesia by conducting a comparative review of academic journal literature and contextualizing the findings to the case of Pekanbaru. The analysis reveals three critical challenges: uneven digital infrastructure, low digital literacy among civil servants, and fragmented regulations and inter-agency coordination. On the other hand, the review also identifies opportunities in improving service quality and expanding citizen participation through digital platforms. Contextual discussion highlights how these findings reflect the actual conditions in Pekanbaru, which, despite its ambition to become a smart city, still struggles with systemic barriers. The study concludes with practical recommendations for the Pekanbaru city government, emphasizing the importance of capacity building, system integration, and inclusive public engagement. This review also serves as a foundation for future empirical research to validate the findings and enrich local digital governance strategies.
Implementasi Sistem Keamanan Kendaraan dengan Sensor Fingerprint Faizal Abdul Aziz; Hendri Setyawan; Bagus Esti Tomo
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): 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.v3i3.968

Abstract

In the modern era, the need for sophisticated vehicle security systems is increasing along with the high rate of motor vehicle theft. This research designs and implements a fingerprint sensor-based vehicle security system using an Arduino Uno microcontroller. This system aims to improve security by utilizing biometric technology that can only be accessed by verified users. The fingerprint sensor is used to recognize the user's fingerprint, then activate the system through a relay instead of a conventional key. System testing shows a fast response time with an estimated rise time of about 0.5 seconds and settling time of about 2 seconds, without any misidentification (false positive or false negative). Thus, the system is proven to provide higher security, good authentication speed, and ease of use compared to conventional security systems. These results show that the implementation of biometric technology in vehicles has the potential to be widely applied.
Jaringan Saraf Tiruan dalam Mengidentifikasi Faktor-Faktor Penentu Kesiapan Belajar Anak pada Transisi ke Sekolah Dasar Seri Arihta Br Sitepu; Novriyenni Novriyenni; Ratih Puspadini
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): 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.v3i3.990

Abstract

The transition of children from early childhood education to elementary school (SD) is a critical phase in their psychological and academic development. During this phase, children face significant challenges, including changes to a more structured learning environment and increasing academic demands. At SDN 055991 in Langkat Regency, this phenomenon is reflected in the difficulties experienced by some students, particularly with basic skills such as reading, writing, and arithmetic, as well as with socializing with peers. These difficulties can impact children's long-term academic and social development. This study aims to identify the key factors influencing children's learning readiness during this transition period, utilizing artificial intelligence (AI) technology. Specifically, this study uses Artificial Neural Networks (ANN) and Decision Trees as tools to analyze the data obtained. The use of this data-driven approach allows for a more in-depth analysis of the complex patterns and relationships between various variables that influence children's learning readiness, such as family factors, social environment, and students' basic skills. This study also references various previous studies demonstrating the effectiveness of backpropagation and Deep Learning algorithms in the context of education and student performance prediction. This approach is expected to provide more precise solutions for understanding children's learning readiness and provide a more accurate picture of the factors contributing to difficulties experienced by students in the transition to elementary school. The results of this study are expected to provide relevant recommendations for parents, educators, and education policymakers to support children's learning readiness and strengthen basic education policies that are adaptive to the needs of students in this digital era.
Analisis Perbandingan Performa Model ConvLSTM dan LRCN dalam Pengenalan Aktivitas Gerak Manusia Amir Hamzah; Jamilatul Badriyah
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): 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.v3i3.991

Abstract

This study compares the performance of two deep learning models, namely Convolutional Long Short-Term Memory (ConvLSTM) and Long-term Recurrent Convolutional Network (LRCN), in the task of recognizing human activity from videos. Human activity recognition is an important field in computer vision with many applications, such as security monitoring, human-computer interaction, and social media-based video analysis. ConvLSTM is a model that combines convolution operations with long-term memory LSTM, thus capable of capturing spatial and temporal information simultaneously. This approach is ideal for processing video data sequences that have spatial and temporal dimensions. On the other hand, LRCN combines the power of spatial feature extraction from Convolutional Neural Network (CNN) and temporal sequence modeling through Recurrent Neural Network (RNN), specifically LSTM, to understand movement patterns in videos. The study used the UCF50 dataset consisting of 50 activity classes, but was limited to five classes for the focus of the experiment. The dataset was divided into 80% for training and 20% for testing, and the model was drilled for 50 epochs using early stopping to prevent overfitting. The results show that both models have high training performance. ConvLSTM achieved a training accuracy of around 98% and a validation accuracy of 90%, while LRCN achieved a training accuracy of 99.5% and a validation accuracy of 88%. Although ConvLSTM demonstrated good stability on the validation data, further testing using TikTok videos as real-world data showed that LRCN had a higher confidence level in recognizing activities, with most predictions achieving confidence scores above 80%. This difference in performance indicates that while ConvLSTM excels in generalizing on training data, LRCN is more robust to real-world data variations.
Metode MOORA Diterapkan untuk Menentukan Promosi Karyawan PTPN 4, dengan Analisis Keputusan Berbasis Kriteria Objektif Ade Haikal; Al-Khowarizmi
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): 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.v3i3.994

Abstract

The application of the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method in employee promotion decisions at PTPN 4 aims to enhance efficiency and objectivity in decision-making. This method allows managers to evaluate employees based on multiple criteria simultaneously, such as performance, experience, contributions, and other relevant factors. By considering these various aspects, MOORA helps make promotion decisions more transparent and fair. One of the primary advantages of applying the MOORA method is its ability to reduce bias that may occur during the promotion process. Bias can arise from subjectivity or imbalance in employee assessments, which are often based on individual judgments or personal perceptions. By using MOORA, promotion decisions are based on more objective and measurable data, making the process more systematic and structured. The MOORA method can also increase employee motivation. A transparent promotion process based on clear criteria provides employees with a strong incentive to continuously improve their performance. When employees know that promotions are based on fair evaluation, they are more motivated to work harder. This, in turn, will increase overall productivity and performance at PTPN 4. The implementation of MOORA at PTPN 4 also provides advantages in better human resource management. With the MOORA-based decision support system, managers can easily identify employees who have the best potential for promotion. This process involves several steps, such as data normalization, determining criteria weights, and calculating final values that reflect overall employee performance. The end result is the selection of employees who meet the qualifications and have outstanding performance for promotion, supporting the sustainable development of the organization.

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