Jurnal PROCESSOR

Analisis Perbandingan Quality of Service dengan Standarisasi Tiphon: Metode Simple Queue dan Per Connection Queue

2025-02-19T07:17:59+08:00

Penggunaan layanan internet terus meningkat dari tahun ke tahun khususnya di Indonesia dengan jumlah pengguna internet mencapai 5,53 miliar jiwa. Internet mempunyai peranan penting dalam berbagai bidang, seperti pendidikan, bisnis dan hiburan. Di sektor pendidikan, internet digunakan untuk menunjang kegiatan akademik, penelitian dan administrasi. Oleh karena itu diperlukan layanan internet yang optimal dan stabil. Namun permasalahan yang sering dihadapi adalah jaringan yang lambat dan alokasi bandwidth yang tidak merata sehingga menghambat kegiatan akademik dalam mengakses informasi dan data. Manajemen bandwidth merupakan solusi yang dapat diimplementasikan untuk mengendalikan dan mengelola alokasi bandwidth secara efektif. Penelitian ini bertujuan untuk membandingkan dua metode antrian yaitu Simple Queue dan per connection queue (PCQ) dalam manajemen bandwidth. Selain itu penelitian ini juga menambahkan batasan pada layanan YouTube untuk meningkatkan kualitas jaringan. Metode penelitian yang digunakan adalah Action Research (AR), dengan tahapan meliputi diagnosis, rencana tindakan, tindakan, evaluasi dan Pembelajaran. Hasil penelitian menunjukkan bahwa metode Simple Queue lebih unggul hampir di semua kondisi dibandingkan dengan metode PCQ. Namun metode PCQ memiliki kelebihan yaitu dapat membagi bandwidth secara lebih merata tanpa adanya monopoli bandwidth.

Learning Automata Based-AODV Routing Protocol for Inter-vehicle Communication: A Simulation Approach

2025-04-12T16:08:12+08:00

The Ad-hoc On-Demand Distance Vector (AODV) routing protocol is a Mobile Ad-hoc Network (MANET) routing protocol that is experimentally used in Vehicular Ad-hoc Networks (VANETs) to support Vehicle-to-Vehicle (V2V) communication. Unfortunately, the standard AODV can lead to degraded responsiveness due to excessive information flow in the VANET environment. The research proposed a Learning Automata-based AODV (LA-AODV) that integrates reinforcement learning for enhanced relay node selection and communication responsiveness in VANET. By considering real-time vehicle parameters during relay node selection, LA-AODV optimizes Quality of Service (QoS) and indirectly reduces road incidents. Simulation results using Network Simulator 3 (NS-3) in a grid traffic scenario demonstrate and validate that LA-AODV outperforms AODV regarding Packet Delivery Ratio (PDR), average end-to-end delay, throughput, and communication overhead. Using Learning Automata for relay node selection in LA-AODV improves the QoS of V2V communication, making it suitable for applications in smart transportation and intelligent vehicle networks supported with V2V communication in each vehicle. This research contributes to the field by improving the AODV protocol for V2V communication, especially in VANET research

Analisis Penerimaan Sistem Digitalisasi Museum Bali Berbasis VT360° Menggunakan Metode MDLC & TAM

2025-01-04T15:39:48+08:00

Central Statistics Agency (BPS). Museum Bali has also experienced a decline in visits, especially from local tourists, the management has tried to stimulate public interest through making events that are expected to be able to introduce the museum to the public, but these efforts have not resulted in an increase in visits, on the contrary, the number of visits has decreased. The impact of the decline in visits to Museum Bali is very pronounced, it is not uncommon for not even a single domestic tourist to come in a day. The design of this application aims to bring Museum Bali closer to the younger generation through a virtual tour based on interactive multimedia applications. The research method used in the development of the application being built is the Multimedia Development Life Cycle (MDLC) method using the Technology Acceptance Model (TAM) in analysing the acceptance of the application. In developing this 360° virtual tour application. This study uses 80 data samples obtained from calculations using the Solvin formula. The results showed that 80% of respondents were satisfied and accepted the application that had been designed. The results of convergent validity testing have an average value of 0.79, with an AVE value above 0.50. Composite reliability and Cronbach's Alpha were found to be greater than 0.7 so that the TAM testing of this application falls into the strong category.

Keywords: MDLC; TAM; Museum; Virtual Tour; Tourism;

V2V Communication QoS Comparison of Reactive and Proactive Protocols: A Simulation-Based Evaluation in Urban and Highway Scenarios

2025-03-25T15:06:27+08:00

Vehicular Ad-hoc Networks (VANETs) are crucial for modern intelligent transportation systems and can significantly enhance road safety and traffic efficiency through reliable vehicle-to-vehicle (V2V) communication. This research focuses on improving road safety and addresses the challenges of maintaining stable communication in dynamic environments. We evaluate the performance of three routing protocols: Ad hoc On-Demand Distance Vector (AODV), Learning Automata-enhanced AODV (LA-AODV), and Destination-Sequenced Distance Vector (DSDV) under various traffic scenarios. We use NS-3 for simulation to analyze real-world urban and highway traffic models with differing vehicle densities and mobility patterns. Essential Quality of Service (QoS) metrics, including packet delivery ratio, packet loss ratio, throughput, end-to-end delay, and jitter, help identify the most effective protocol. Our findings show that LA-AODV consistently outperforms AODV and DSDV, especially in highway settings, achieving a throughput of 40.538 Kbps and a packet loss ratio of 73.67%. However, further optimization is needed to lower the end-to-end delay for time-sensitive applications. These results are not just academic findings, but practical tools for the development of more efficient and reliable VANET routing protocols. They provide actionable insights that can inform and prepare you for enhancing communication in intelligent transportation systems.

Integrasi Google OAuth dan Payment Gateway Midtrans dalam KosConnect

2025-03-13T17:15:22+08:00

KosConnect is an innovative application that facilitates boarding house search, booking, and payment by integrating modern technologies to enhance user experience. As the demand for boarding houses increases and access to reliable information remains a challenge, KosConnect leverages Google OAuth for Single Sign-On (SSO) authentication, providing a more efficient and secure login process, while Midtrans serves as a payment gateway to enable fast and secure digital transactions. Developed using the Go programming language and MongoDB database, the application ensures optimal performance in data management while also offering personalization features to help users find accommodations that match their preferences. This project aims to streamline the login, registration, and payment processes by providing an integrated service that covers all stages from searching for boarding houses to completing transactions. The development results show that KosConnect effectively addresses the limitations of previous boarding house information systems, such as authentication that relies solely on email and password without SSO, bank transfers requiring manual proof uploads, and the lack of personalization features.

Penerapan Algoritma K-Means Clustering untuk Pengelompokkan Penyebaran Diare di Kabupaten Brebes

2025-03-04T11:52:36+08:00

Diarrhea is one of the leading causes of child mortality globally, including in Brebes Regency, Indonesia. This study aims to analyze the pattern of diarrhea spread in Brebes Regency using the K-Means algorithm based on the Knowledge Discovery in Databases (KDD) approach. The data used include the number of diarrhea cases and the area of subdistricts in 2021. The research process includes stages of data Selection, Preprocessing, Transformation, Data Mining and Evaluation of Clustering results using the Davies Bouldin Index (DBI). The analysis was conducted with RapidMiner to group regions into three clusters based on the level of diarrhea spread: high, medium and low. The results showed that the high cluster included Bantarkawung Subdistrict with 4,125 cases, while the medium and low clusters covered other subdistricts with varying case numbers. The evaluation showed a DBI value of -0.318, indicating that the clustering quality needs improvement. This study provides insights into the distribution of diarrhea in Brebes Regency, which can assist local governments in designing more effective handling strategies. Further research is recommended to improve data structure, use additional analytical methods, and consider broader data to enhance result accuracy.

Implementation of React Vite in Airplane Ticket Booking System Interface Development Using Scrum Method

2025-03-20T17:09:39+08:00

This research discusses the development of an airline ticket booking information system interface. The Scrum methodology was employed in the interface development process. Scrum was chosen for its ability to divide the development process into several sprints. At the end of each sprint, suggestions and evaluations for subsequent development are produced, thereby continuously enhancing the effectiveness of each development process. The system, developed using React Vite as the main technology, accelerates the development process and improves user experience through React's Single Page Application architecture, which enables smoother and more efficient navigation throughout the website. Another objective of this research was to reduce paper usage by providing a feature to download tickets in digital format using React PDF technology. Beyond this digital ticket feature, the system incorporates several core functionalities, including ticket booking, payment processing, order history tracking, and notification services. The result of this research is documentation of the interface development process based on the Scrum methodology, demonstrating that all developed features are functioning optimally.

Analisis Forensik Keamanan Data Pribadi pada Mode Privasi Browser Menggunakan Metode National Institute of Standards and Technology (NIST)

2025-02-03T15:41:12+08:00

User privacy while browsing the internet has become a major concern, especially with the presence of the private mode feature in browsers, which is claimed to protect personal data. This study analyzes the extent to which private mode in Google Chrome and Mozilla Firefox browsers can safeguard personal data using the standard approach from the National Institute of Standards and Technology (NIST). Four simulation scenarios were conducted to evaluate the effectiveness of private mode in preventing user information from being stored. The research findings indicate that although private mode successfully prevents the storage of browsing history and user data on the hard disk, sensitive information such as accounts and passwords can still be accessed in memory (RAM) under certain conditions. These findings suggest that private mode is not entirely secure in protecting user privacy, particularly against attacks that exploit temporary data in RAM. The implications of this study highlight the need for further development in private mode security, both by browser developers and users who seek to enhance their personal data protection. This study also recommends additional strategies to be implemented more effectively in order to reduce the risk of data leakage when using private mode.

Optimalisasi Distribusi Barang dengan Algoritma Apriori: Studi Kasus PT. Satria Teknik Indonesia

2025-04-16T10:59:58+08:00

In an increasingly competitive business environment, companies are required to make more precise strategic decisions to enhance operational efficiency. The shift in customer demand trends has become a major challenge faced by PT Satria Teknik Indonesia, a goods distribution company. To address this challenge, the company can leverage transaction data to analyze customer purchasing patterns. By utilizing the results of this analysis, PT Satria Teknik Indonesia can improve the accuracy of customer demand predictions, accelerate data-driven decision-making, and optimize inventory management. One effective method for this analysis is the Apriori algorithm. The data used were obtained from the company's transaction recording system during the period from January 2023 to October 2024 and were analyzed to discover association rules in large datasets and identify relationships between products that are frequently purchased together. The results of this study reveal two items that are prioritized for ordering: Back Support and Safety Shoes Cheetah. If customers purchase Back Support, they are highly likely to also purchase Safety Shoes Cheetah, with a support value of 20.22% and a confidence level of 100%. Conversely, if customers purchase Safety Shoes Cheetah, they tend to also buy Back Support, with a support value of 20% and a confidence level of 94.74%. This study identifies a strong purchasing association pattern between Back Support products and Safety Shoes Cheetah, providing empirical evidence of the benefits of implementing data mining techniques to improve inventory management effectiveness and better respond to customer needs

UI/UX Design of a Document Management System Using the Design Thinking Method

2025-03-10T15:21:20+08:00

An efficient and digitized document management system is urgently needed in higher education administration to improve document management effectiveness. This study aims to design the user interface (UI) and user experience (UX) of a web-based document management system using the Design Thinking method. This method is used to understand user needs, design intuitive solutions, and develop interfaces that simplify interaction in document management. The design process includes the Empathize, Define, Ideate, Prototype, and Test stages. The results show that the generated UI/UX design improves ease of use and workflow efficiency, with a user satisfaction rate of 85%. The system's implementation has the potential to optimize digital correspondence, reduce administrative errors, and improve transparency. However, further development is needed to enhance accessibility, scalability, and integration with other administrative systems. This development will support a more efficient and transparent digital transformation in the operational processes of higher education institutions.

Klasifikasi Pemilihan Siswa untuk Rekomendasi Beasiswa Menggunakan Algoritma C4.5 di MA Tahfidh Annuqayah

2025-03-07T22:32:40+08:00

Sebagai instansi sekolah yang berbeda dilingkungan pondok pesantren Annuqayah, MA Tahfidh Annuqayah mengedepankan Pendidikan Kitab dan Hafalan Al-qur’annya. MA Tahfidh Annuqayah ikut andil sebagai instansi sekolah yang merekomendasikan berbagai model beasiswa berupa bantuan biaya pendidikan maupun siswa yang berprestasi. Beasiswa yang di rekomendasikan ada dibawah naungan Kementrian Agama Republik Indonesia. Salah satunya adalah beasiswa full di Al-Azar Kairo Mesir. Banyaknya calon siswa yang akan diklasifikasi sebagai calon penerima rekomendasi beasiswa menjadikan proses seleksi memakan waktu yang lama, sehigga diperlukan system dalam rekomendasinya.Sistem yang dirancang ini akan menerapkan algoritma klasifikasi data mining C4.5 terhadap data yang telah ada pada proses seleksi dan rekomendasi penerima beasiswa. Algoritma C4.5 ini dipilih karena menghasilkan pohon keputusan berdasarkan nilai dari tiap-tiap atribut yang telah ditentukan berdasarkan persyaratan beasiswa. Sistem yang dirancang menggunakan 6 atribut yaitu nilai raport, prestasi, nilai ujian test, baca kitab, hafalan Al-Qur’an dan bahasa arab. Pemrosesan data training menghasilkan pohon keputusan klasifikasi yang bisa dipakai sebagai bahan rekomendasi .Evaluasi yang dilakukan dalam pengujian ini didapatkan nilai akurasi sebesar 97,5 %.