cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Andri Nofiar
Contact Email
garuda@apji.org
Phone
+6285885852706
Journal Mail Official
febri@apji.org
Editorial Address
Perum Cluster G11 Nomor 17 Jl. Plamongan Indah, Kadungwringin, Pedurungan, Semarang, Provinsi Jawa Tengah, 50195
Location
Kota semarang,
Jawa tengah
INDONESIA
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 183 Documents
 11   12   13   14   15 
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.
Penerapan Sistem Informasi Penjualan Dessert Berbasis Web dengan Pendekatan POAC Danu Abilsyah Aimar; Tantry Hidayati Sinaga
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.v3i3.989

Abstract

The development of digital technology has driven transformation across various sectors, including the food and beverage industry. Dessert businesses face challenges in improving operational efficiency and competitiveness in the digital market. One possible solution is the use of websites as marketing and sales platforms. However, without proper management methods, the utilization of this technology will not be optimal. Therefore, this study applies the POAC (Planning, Organizing, Actuating, Controlling) method to develop a website- based dessert sales system aimed at enhancing business efficiency and customer satisfaction. This study employs a descriptive approach with the POAC method in website-based marketing strategies. The planningphase involves designing e-commerce features, such as product catalogs, an online ordering system, and digital payments. The organizing phase focuses on resource management and technology integration, while actuating includes implementing the system using MySQL, PHP, and CodeIgniter. The controlling phase is conducted through system testing using the Blackbox Testing method to evaluate application performance. The study results indicate that implementing the POAC method in a website- based system enhances the operational efficiency of dessert businesses. Transaction records become more accurate, customers can easily access product information, and the digital payment system improves transaction convenience. Furthermore, the website enables businesses to reach a broader market without geographical limitations. The implementation of the POAC method in website-based business management has proven to improve marketing and sales effectiveness. With a more structured system, businesses can better adapt to market changes and enhance customer interactions. This digital-based strategy also opens new opportunities for developing the culinary business in the modern era.
Pengelompokkan Penyakit Tuberkulosis Paru Berdasarkan Penyebabnya Menggunakan Metode Clustering: Studi Kasus : UPT Puskesmas Selesai Cinta Apriliza; Relita Buaton; Hermansyah Sembiring
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.v3i3.995

Abstract

Pulmonary tuberculosis remains a pressing public health problem, particularly in the work area of the Duduk Health Center (UPT Puskesmas). Effective management of this disease requires a thorough understanding of the characteristics of the causes of pulmonary TB in patients. This study aims to classify pulmonary TB cases based on the main causes such as diabetes mellitus, irritant factors, pleural effusion, and family environmental conditions. The research method used is a clustering technique with the K-Means algorithm. The data used are data on pulmonary TB patients in 2020–2025 with variables of age, gender, and causative factors collected from medical records. The analysis process was carried out using MATLAB R2014b software. The clustering model was carried out in 3, 4, and 5 clusters to compare the level of segmentation efficiency. Based on the calculation results, the model with 5 clusters showed the lowest cluster variance value of 0.4889 compared to the 3-cluster model (0.7333) and 4-cluster models (0.6151), which indicates that the division into 5 clusters produces the most compact and representative data group. Each cluster shows a different combination of characteristics of pulmonary TB patients, for example: (1) elderly male patients with comorbid diabetes; (2) adolescent females with the negative influence of environmental factors; (3) adult males exposed to irritants; (4) patients with pleural effusion; and (5) groups with multiple factors. The results of this study can provide strategic input for the Finished Community Health Center UPT in formulating more targeted and targeted intervention policies in order to prevent, control, and handle pulmonary tuberculosis cases in a sustainable and effective manner.  
Peran Chatbot Artificial Intelligence (AI) sebagai Teman Virtual: Literature Review Andri Sahata Sitanggang; Irsan Ahmad Syawali; Sulthan Firman Hafizh; Fauzan Zaki Sholih; Muhammad Alwizard; Albertus Aris Nauw
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.v3i3.992

Abstract

The development of digital technology has brought about significant changes in the way humans communicate and live their daily lives. One important innovation is Artificial Intelligence (AI), one tangible manifestation of which is the chatbot as a virtual friend. This study aims to examine the role of chatbots as virtual friends through a literature review approach. The results of the study indicate that chatbots can serve as a potential, easily accessible tool for providing emotional support. Chatbots are able to create a safe space for users, especially Generation Z, to express themselves and overcome loneliness. However, the relationship between humans and chatbots is complex. Chatbots can mimic supportive responses, but as algorithmic systems, their ability to experience true empathy is very limited. Users' awareness that responses are coming from a machine also influences perceptions of trustworthiness and the quality of the interaction. On the other hand, the use of chatbots also raises serious ethical challenges, such as data privacy issues, the potential for over-dependence, and increased loneliness if chatbots are used as a substitute for real social interaction. Therefore, the development and use of chatbots as virtual friends must be carried out with a critical understanding and ethical approach. Technology design oriented towards humanitarian values is needed so that the presence of chatbots does not diminish the essence of human relationships but instead becomes a psychosocially beneficial complement.
Perancangan SPBU Mandiri dengan Sistem Pembayaran Elektronik untuk Masyarakat Penerima BBM Bersubsidi Berbasis Arduino Mega 2560 R3 Habib Akhyari; Emil Naf'an; Nanda Tommy W
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.v3i3.1001

Abstract

Public Fuel Filling Stations (SPBU) are important facilities that provide various types of fuel such as gasoline, diesel, and Pertamax to meet the needs of motorized vehicles. The existence of SPBU greatly helps the public in obtaining fuel at a more economical price compared to purchasing retail. However, the transaction system at SPBU generally still uses conventional methods, such as cash payments or the use of debit/credit cards that have not been fully integrated with an efficient digital system. The use of RFID (Radio Frequency Identification) technology has been implemented as a non-cash transaction method at several SPBUs, but this system still has various weaknesses, such as limited device compatibility and delays in transaction processing. This prompted the author to develop the concept of an independent SPBU based on modern technology that is more efficient and secure. The proposed innovation includes the use of contactless smart cards and coin acceptors for the payment system, allowing users to make self-service transactions without operator involvement. In addition, the author also added several supporting components such as proximity sensors, which function to detect the presence of vehicles or people around the SPBU area. These sensors can help in saving electrical energy by activating the system only when needed. Another component is a vibration sensor, which plays a crucial role in detecting excessive vibrations that could potentially cause leaks. If excessive vibration is detected, the system automatically closes the solenoid on the pump to prevent the risk of fire or damage. By integrating this technology, the autonomous gas station system is expected to improve operational efficiency, user convenience, and safety during the automatic refueling process. This development is expected to be an innovative solution for modernizing the gas station system in Indonesia.
Analisis Sentimen Ulasan pada Google Review di Sebuah Penginapan Menggunakan Algoritma Naïve Bayes: Studi Kasus: Grand Jatra Hotel Pekanbaru Muhammad Azlan; Elvi Rahmi
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.v3i3.1003

Abstract

This study aims to analyze the sentiment of customer reviews of the Grand Jatra Hotel Pekanbaru on the Google Review platform using the Naïve Bayes algorithm. Social media and online review platforms are increasingly becoming the primary source of information for potential customers in making purchasing decisions, particularly in the hospitality sector. Therefore, sentiment analysis of customer reviews is crucial for understanding consumer perceptions and providing strategic input for hotels in improving service quality. The research data was collected using web scraping techniques to obtain publicly available customer reviews. The obtained data was then processed through text preprocessing stages including case folding, tokenizing, normalization, stopword removal, and stemming. The Term Frequency-Inverse Document Frequency (TF-IDF) method was then used to weight each word, so that more relevant words have a greater influence in the classification process. The sentiment classification process was carried out into two main categories, namely positive and negative. The Naïve Bayes model was trained using training data and then tested with test data to measure the algorithm's performance in classifying sentiment. The evaluation results show that the model built is able to achieve an accuracy level of 98%, with a precision value of 97% and a recall of 100% in the positive class, and 92% in the negative class. These findings confirm that the Naïve Bayes algorithm can be effectively used in analyzing customer sentiment towards hotel services and facilities. Practically, the results of this study are expected to provide insight for the management of Grand Jatra Hotel Pekanbaru in understanding customer perceptions, identifying service strengths and weaknesses, and formulating more targeted marketing strategies. In addition, this study can also be a reference for the development of similar studies in the hotel industry and other service sectors.

Page 13 of 19 | Total Record : 183

 11   12   13   14   15 

Filter by Year

2023 2026


Reset
Filter By Issues
All Issue Vol. 4 No. 3 (2026): Agustus: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 4 No. 2 (2026): Mei: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 4 No. 1 (2026): Februari: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 4 (2025): November: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): Agustus: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 2 (2025): Mei: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 1 (2025): Februari: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 4 (2024): November: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 2 (2024): Mei: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 1 (2024): Februari: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 1 No. 4 (2023): November: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 1 No. 1 (2023): Februari: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi More Issue