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MULTINETICS
Published by Politeknik Negeri Jakarta
ISSN : 24432245     EISSN : 24432334     DOI : -
Core Subject : Science,
Computer Science & IT
Multinetics is a peer-reviewed journal is published twice a year (May and November). Multinetics aims to provide a forum exchange and an interface between researchers and practitioners in any computer and informatics engineering related field. Scopes this journal are Content-Based Multimedia Retrieval, Multimedia Application, Mobile Computing & Applications, The Internet of Things, Information Systems and Technologies, E- Learning & Distance Learning, Infrastructure Systems and Services, E-Business & E-Commerce, Artificial Intelligence, Embedded System, Network & Data Communication, Big Data and Data Mining, Software Engineering, Computer Network and Architecture, Soft Computing and Intelligent System and Networks and Telecommunication Systems
Arjuna Subject : -
Articles 324 Documents
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Implementasi Sistem Pendukung Keputusan Geografis untuk Penempatan Cabang Dealer dengan Simple Additive Weighting Astria Hijriani; Claudia Cindy Owen; Anie Rose Irawati
MULTINETICS Vol. 12 No. 1 (2026): MULTINETICS Mei (2026)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v12i1.8537

Abstract

Determining a new dealer branch location is a strategic decision that requires careful consideration of spatial, demographic, competitive, and operational factors. PT Tunas Dwipa Matra, as an official Honda motorcycle main dealer in Bandar Lampung, needs a decision support system that can assist management in evaluating and ranking alternative branch locations objectively. This study develops a web-based geographic decision support system by applying the Simple Additive Weighting method to calculate the preference value of each candidate location. The assessment uses seven criteria, namely rental cost, number of nearby workshops, number of nearby showrooms, road type, distance from the nearest Honda dealer, number of markets, and population. These criteria are processed through weighting, normalization, and ranking stages to produce the best location recommendation. Spatial information is presented through a Web-GIS interface, while survey data are collected using an Android application connected to the database through a web service. The system development process includes requirement analysis, manual calculation, system design, implementation, and testing. Functional testing using equivalence partitioning shows that the main system features operate according to user requirements. Decision testing also indicates that the system can generate structured recommendations and support managers in comparing alternative locations more transparently, systematically, and efficiently.
PENGEMBANGAN SISTEM PEMESANAN MAKANAN MENGGUNAKAN RASPBERRY PI BERBASIS INTERNET OF THINGS (IOT) DI LINGKUNGAN KANTIN PNJ Nurul Aulia Dewi; Ayu Rosyida Zain
MULTINETICS Vol. 12 No. 1 (2026): MULTINETICS Mei (2026)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v12i1.7800

Abstract

This research aims to design and develop a food ordering system based on the Internet of Things (IoT) in the Spirit Canteen of PNJ, utilizing a Raspberry Pi 3 Model B+, QR code scanner, thermal printer, and integrated buzzer. The primary issue addressed is the absence of an efficient digital system for food ordering directly from the customer’s table, leading to long queues, ordering errors, and limited transparency in order tracking. The system includes a web-based ordering and monitoring platform connected to the IoT devices, enabling a real-time ordering experience. The development follows a software engineering approach using prototyping methodology. Testing was conducted through blackbox testing, load testing using k6, and user satisfaction evaluation via the System Usability Scale (SUS). Results showed the system operated reliably under a load of 10 simultaneous users without failures. The SUS scores obtained were 81 from buyers and 76.25 from sellers, which are classified as grade A and B respectively on the Sauro-Lewis curved grading scale, indicating high user satisfaction. In addition, the response times of the buzzer and thermal printer averaged around 3 seconds. The system provides benefits such as improved efficiency in ordering and payment processes, enhanced order transparency, and overall better canteen service operations. Future enhancements are recommended, including the implementation of data security features, order completion time estimation, transaction reporting dashboards, and system testing under a larger user scale to ensure readiness for full-scale deployment.
Analisis Kebutuhan dan Perancangan ERP untuk Optimalisasi Proses Penjualan dan Inventory pada Industri Otomotif Batam: Pendekatan SDLC–BPR Zulkarnain; Austin Nobby; Hendi Sama
MULTINETICS Vol. 12 No. 1 (2026): MULTINETICS Mei (2026)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract - This study aims to analyze the sales and inventory business processes in an automotive showroom and to design an integrated Enterprise Resource Planning (ERP) system blueprint. The research employs a descriptive qualitative method using the System Development Life Cycle (SDLC) approach at the planning, analysis, and design stages, combined with Business Process Reengineering (BPR) to redesign business processes. Data were collected through observation, interviews, and documentation studies in an automotive showroom in Batam. The results indicate that business processes are still dominated by manual recording and are not yet integrated across divisions, resulting in data inconsistency, delayed reporting, and potential duplication of records. Through system requirements analysis, a proposed business process model (To-Be) was developed that integrates sales and inventory modules in real time within a centralized database. The resulting ERP system blueprint is considered capable of improving operational efficiency, information accuracy, and supporting managerial decision-making. This study contributes theoretically to ERP design studies in the automotive showroom sector and practically as a reference for developing integrated information systems in similar companies.
RESTful API dengan Laravel untuk Aplikasi Sistem Kredit Prestasi di Fasilkom UNSIKA Muhammad Reynaldo Aulia Rachman; Oman Komarudin; Carudin
MULTINETICS Vol. 12 No. 1 (2026): MULTINETICS Mei (2026)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v12i1.8494

Abstract

The Achievement Credit System (SKP) at the Faculty of Computer Science, Universitas Singaperbangsa Karawang has been digitalized through a website-based system that is currently still in the staging phase of development. However, the system is built using a monolithic architecture that combines the frontend and backend layers into a single unit, making SKP data only accessible through a web browser and unable to be consumed by other platforms such as mobile applications. This research aims to design, develop, and test a RESTful API service using the Laravel framework as an independent backend infrastructure capable of serving data requests from various client platforms flexibly. The Research and Development (R&D) method adapted from Sugiyono's model with six stages was employed: potential and problems, data collection, product design, design validation, design revision, and product testing. Design validation by two validators yielded a feasibility percentage of 79%, categorized as Feasible. Functional testing using the Black Box Testing method with Postman resulted in all 31 test scenarios declared PASS, proving that all 16 endpoints function according to the designed specifications. Performance testing using Apache JMeter on three representative endpoints across three load scenarios showed that the server successfully processed all requests without a single failure (Error % = 0.00%) across all nine tested scenarios, with the highest CPU usage reaching 88% in the high load scenario and memory usage remaining within safe limits with a peak value of 41.0% of the total 1 GB server memory capacity. The resulting RESTful API service consists of 16 endpoints protected by a stateless authentication mechanism based on Personal Access Token (PAT) using Laravel Sanctum and Role-Based Access Control (RBAC), and is integrated with the Google Drive API for centralized certificate file storage in cloud services.

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