cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Moch. Syahrir
Contact Email
muhammadsyahriralfath@gmail.com
Phone
+62361-701981
Journal Mail Official
matrix@pnb.ac.id
Editorial Address
Unit Publikasi Ilmiah, Pusat Penelitian dan Pengabdian Masyarakat, Politeknik Negeri Bali, Kampus Jimbaran, Badung, Bali, Indonesia
Location
Kab. badung,
Bali
INDONESIA
MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA
Published by Politeknik Negeri Bali
ISSN : 25805630     EISSN : 25805630     DOI : http://dx.doi.org/10.31940/matrix.v13i2.52-67
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Managing the rapid changes in information technology Emerging advances in electrical and electronics and new applications Implications of digital convergence and growth of electronics technology Project management in electrical, mechanical, or civil engineering
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 121 Documents
 3   4   5   6   7 
Identification of top influence users in disseminating information on the 2024 Indonesian National Election Neny Sulistianingsih; Galih Hendro Martono
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 1 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

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

Abstract

Social media has a vital role in general elections in Indonesia because social media is one of the platforms used by presidential candidates for campaigns to gain public support. General elections in Indonesia occur every five years. Many tweets talk about presidential candidates approaching the national election period. Not least, some buzzers deliberately use Twitter to carry out propaganda against a candidate or to bring down other presidential candidates with their opinions because information can spread widely and quickly on Twitter. Based on this, it is necessary to identify influential users in disseminating information related to the 2024 National Election, especially on Twitter. Various centrality methods were used in this study to identify influence users in sharing information about the 2024 National Election such us Degree Centrality, Closeness Centrality, Harmonic Centrality, Eigenvector Centrality, and Load Centrality. For the evaluation in this study, the results of each method were compared to one another to measure the similarity and correlation between the ranking lists of users who were influential in disseminating information about the 2024 National Election.
Geolocation data incorporation in Mapbox for comprehensive mapping of tourism areas on Lombok Island Rifqi Hammad; Pahrul Irfan; M Thoric Panca Mukti
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 1 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

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

Abstract

Lombok Island is one of the islands that has many tourist areas. With so many tourist areas spread to various regions on the island of Lombok, an accurate and comprehensive tourist area mapping system is needed. The problem faced is that the existing mapping is still constrained regarding accuracy and data persistence. The solution offered in this research is the incorporation of geolocation data on the Mapbox platform to improve the accuracy and detail of data in mapping tourism areas on the island of Lombok. In this research, there are several stages carried out starting from data collection to testing. This research results in a tourist area mapping information system that applies geolocation data incorporation on Mapbox. The test results show an increase in accuracy of 8% from the previous mapping and a usability test score of 81 which means that the system developed is acceptable or feasible by users.
Voltage drop comparison in Lead-acid and Lithium-ion batteries on electric scooters Anak Agung Ngurah Gde Sapteka; Anak Agung Ngurah Made Narottama; Komang Agus Widyatmika
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 1 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

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

Abstract

This article compares the voltage drop on Lead-acid and Lithium-ion batteries used as an energy source for electric scooters. An experiment was conducted with five electric scooter users weighing 60.25 Kg, 70.60 Kg, 83.20 Kg, 95.40 Kg, and 103.75 kg to obtain data on voltage drop. Each user of this electric scooter carried out three experiments by circling about 1.07 Km at the Politeknik Negeri Bali area. This study proves that the voltage drop on the Lead-acid and Lithium-Ion batteries has a linear relationship to the weight of an electric scooter user with a 36V 400-watt BLDC motor load. The linear equation has an intercept value of -1.36766 and a slope value of 0.04791 for the Lead-acid battery. In contrast, the linear equation has an intercept value of -2.47064 and a slope value of 0.05417 for Lithium ion batteries. The average voltage drop across lead acid is 25% higher than that across Lithium-ion
Laravel framework and native PHP: Comparison in the crea-tion of rest API Ariyanto, Yuri; Rachmad, Mochamad Farhan Fitrahtur; Puspitasari , Dwi
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 2 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i2.66-73

Abstract

As technology evolves, the need for data communication grows. One technology facilitating this communication between applications and databases is the REST API, widely used by companies to provide access to their data and services. REST APIs can be developed using PHP, known as PHP Native. However, PHP Native faces performance issues and a monotonous, repetitive code structure, making maintenance and scalability challenging. Consequently, developers have created PHP frameworks like Laravel. This research compares the Laravel framework with PHP Native in REST API development, evaluating aspects such as processing speed, code efficiency, URL routing structure, and architectural models. The analysis reveals four key points: REST API processing speed, code efficiency, URL routing structure, and project architectural models. In terms of processing speed, PHP Native is slightly superior to Laravel, with speeds of 18.3 ms compared to 344.52 ms, due to additional processes in Laravel like routes, controllers, and models. For code efficiency, Laravel excels due to its ORM feature, unlike PHP Native, which requires manual SQL query writing. In URL routing, Laravel is superior with a structured routing feature, whereas PHP Native requires process file inclusion in route calls. Lastly, Laravel’s architectural model, which implements MVC, is superior to PHP Native, which lacks a standardized architectural model, leading developers to create their own.
Internet of Things (IoT) design based on smart farming with solar panels in an agriculture laboratory Nugraha, Made Dika; Mahabojana, Kadek Agus; Pratama, Gede Agus Surya
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 2 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i2.98-106

Abstract

The implementation of smart farming still uses AC electricity resources which is estimated to be less effective in its implementation due to wasted electricity costs. As well as the lack of a crop monitoring system by farmers, crop yields are not optimal.  This research aims to produce a smart farming system that is used for hydroponic plants to monitor plant conditions periodically and the automatic watering process and nutrient measurements are more efficient, online to the network with the IoT concept, and saves energy by utilizing solar panels. This research is quantitative research with experimental methods. The stages in this system include flowcharts and block diagrams to make it easier to read the workflow that will be created and tested. The results of this research are that the monitoring system with the Blynk Smartphone application turns on if the pH sensor gets a result of 7.2 causing it to open and the pH solution drops in the solenoid which will make nutrients flow into the water container. The solenoid will experience a closed condition because the sensor gets results in the range of 6.2 to 7.2 in pH units. The water level gets an average height of 18.5 to 19.5 cm with the sensor, nutrients are filled into the water container when the solenoid is triggered and turns off when it gets to the maximum value limit. Solar panels as an energy source for detecting acid bases in pH units and hydroponic nutrients are proven to be able to operate all devices within 24 hours during the period of growth.
Analysis and visualization of digital advertising data using EDA on payment point online bank applications Putra, Wisnu Buana; Ayu, Kurnia Gusti
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 2 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i2.74-83

Abstract

This research explores the effectiveness of digital advertising within Payment Point Online Bank (PPOB) applications using Exploratory Data Analysis (EDA) and data visualization techniques. With the rapid growth of internet users and online transactions in Indonesia, businesses face challenges in optimizing digital marketing strategies. By analyzing data from various digital ad campaigns, the study develops a comprehensive advertising dashboard to enhance decision-making and report generation. Key metrics such as cost, impressions, clicks, app installs, registrations, and purchases are examined to assess campaign performance. The dataset comprises advertising data, which includes campaign data (Region, Network, Device) and demographic data (Age and Gender) stored in spreadsheets. The total campaign dataset contains 20,151 rows, while the demographic dataset comprises 125 rows, collected from March to May 2023. Findings indicate that the majority of users (90%) access the application through mobile phones, while 10% utilize tablets. Regarding cost-effectiveness, the UAC_AppInstall campaign demonstrates the lowest Cost per App Install (CPI) at 3141 Rupiah, while the UAC_AppRegistration campaign has the most efficient Cost per Registration (CPR) at 8892 Rupiah and the UAC_AppRetention campaign boasts the most efficient Cost per Purchase (CPP) at 235 Rupiah. Moreover, regional analysis shows that areas like West Java, Jakarta, East Java, and Central Java have the highest acquisition rates, while the eastern regions of Indonesia face challenges due to lower internet accessibility and digital literacy. The study provides valuable insights for marketing teams to optimize their strategies, enhance targeting approaches, and improve the overall effectiveness of digital advertising campaigns.
The development of a web-based internship information sys-tem at DLHK-DIY using the waterfall method Akbar, Fahmi Malik Namus
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 2 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i2.84-97

Abstract

The Department of Environment and Forestry of the Special Region of Yogyakarta (DLHK-DIY) encounters a significant challenge related to the insufficient integration of information services for the admission of internship and research programs. This has resulted in difficulties for applicants who seek up-to-date information from the offices or departments within DLHK-DIY, as well as challenges in the inefficient management of data by the institution. This research aims to resolve these challenges through the development of a web-based platform designed to optimize the processes of information and data management. As a result, the deployment of this platform will allow applicants to access information with greater ease and efficiency, while simultaneously improving the institution's ability to manage applicant data. The development methodology for this platform employs the Waterfall approach, encompassing phases such as Needs Analysis, System Design, Implementation, and Testing. The results of this study are projected to enhance the efficiency and effectiveness of the internship and research program implementation at DLHK-DIY. The progress of information technology in the realm of public services, as exemplified by this initiative, is expected to significantly influence service enhancement and data management within the institution.
Monitoring and temperature control system for fish farming in an IOT-based bucket using an android application Yazid, Abdul; Kusumawati, Weny Indah; Harianto; Susanto, Pauladie
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 2 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i2.50-65

Abstract

This study seeks to create and implement an Internet of Things (IoT)-based system for monitoring and controlling temperature in fish farming within a bucket (Budikdamber) using temperature sensors. The main focus is to set the optimal temperature range for catfish farming in the Budikdamber, ensuring environmental conditions that suit the needs of catfish. Automatic controls are integrated to keep the water temperature in the bucket within the desired range. The system is also capable of automatically activating or deactivating devices such as the Peltier, lights, filling pump, and draining pump to achieve the appropriate temperature. In the test using a 50-litre bucket, a thorough evaluation and testing showed that the DS18B20 temperature sensor had an error rate of 0.8826%, while the Ultrasonic sensor had an error rate of 0.737%. Nonetheless, the other components in the device operate optimally with performance levels reaching 100%, according to their functions. Testing of the Android App on this device achieved an accuracy rate of 100%, indicating that this device can be effectively monitored and controlled remotely through the Android App. The conclusion of this research provides insight into the performance of temperature sensors, system optimization, and the effectiveness of remote control using Android Apps in the context of fish farming.  
Predicting financial default risks: A machine learning approach using smartphone data Shinta Palupi; Gunawan; Ririn Kusdyawati; Richki Hardi; Rana Zabrina
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i3.107-118

Abstract

This study leverages machine learning (ML) techniques to predict financial default risks using smartphone data, providing a novel approach to financial risk assessment. Data were collected from 1,000 individuals who had taken personal loans, focusing on key behavioral parameters such as app usage frequency, GPS location data, and communication patterns over a six-month period prior to loan application. The analysis employed Logistic Regression, Decision Trees, and Random Forest models to determine correlations between these parameters and default risks. The Random Forest model demonstrated superior performance, achieving 85% accuracy. Key findings show that high usage of financial apps was associated with lower default risks, while irregular communication patterns and erratic mobility were significant indicators of higher risk. These results suggest that smartphone-derived behavioral data can significantly enhance traditional credit scoring methods. The study not only contributes to predictive analytics in financial risk management but also raises ethical considerations around privacy and data security.
Design and implementation of IoT-based motorcycle keyless ignition and starter using RFID and Blynk Budiada, I Made; Ida Bagus Irawan Purnama; Putri Alit Widyastuti Santiary; I Ketut Swardika; I Nyoman Kusuma Wardana
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i3.119-127

Abstract

Motorcycles are one of the most widely used means of transportation in the community. However, this widespread usage has led to an increase in thefts, especially when motorcycles are not equipped with adequate security systems. Statistical data shows that motorcycles have the highest theft rate compared to other vehicles. To address this issue, an enhanced security system is necessary. This study proposes the use of Radio Frequency Identification (RFID) sensor and the Blynk application to provide additional security for motorcycles. The RFID system will only be accessible using the motorcycle owner's e-KTP (electronic Indonesian Identity Card) or other registered cards to start the vehicle. Additionally, the Blynk mobile application allows for vehicle control (ON and OFF) via Wi-Fi and provides real-time monitoring of the vehicle's status. This application enables motorcycle activation remotely via Wi-Fi, with a range of approximately 10 meters. Meanwhile, there is a 4-second delay to start the motor starter using e-KTP. Test results indicate that this IoT-based keyless ignition and starter system is effective in enhancing motorcycle security. With this system, motorcycles have a dual-layer security mechanism to minimize theft attempts.

Page 5 of 13 | Total Record : 121

 3   4   5   6   7 

Filter by Year

2021 2025


Reset
Filter By Issues
All Issue Vol. 15 No. 3 (2025): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 15 No. 2 (2025): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 15 No. 1 (2025): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 2 (2024): Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 2 (2024): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 1 (2024): Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 1 (2024): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 3 (2023): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 3 (2023): Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 2 (2023): Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 2 (2023): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 1 (2023): Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 1 (2023): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 3 (2022): Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 3 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 2 (2022): Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 2 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 1 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 1 (2022): Jurnal Manajemen Teknologi dan Informatika Vol. 11 No. 3 (2021): Jurnal Manajemen Teknologi dan Informatika Vol. 11 No. 3 (2021): Matrix: Jurnal Manajemen Teknologi dan Informatika More Issue