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INDONESIA
Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
ISSN : 30318904     EISSN : 30318912     DOI : 10.61132
Core Subject : Science,
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika memuat naskah hasil-hasil penelitian di bidang Sistem Informasi dan Teknik Informatika
Articles 297 Documents
Transformasi Manajemen Media Massa dalam Lanskap Komunikasi Modern Ade Anggelina Fauziah; Fitria Nur Ahmad; Afwan Syahril Manurung
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.890

Abstract

The development of information and communication technology has led to major disruption in the mass media industry. Digitalization has not only changed the way information is produced and distributed, but also influenced the organizational structure, business model, and overall media management strategy. This study aims to analyze the forms of mass media management transformation in responding to changes in the modern communication landscape. Using a qualitative approach and case study method in two mass media in Indonesia, data was obtained through literature studies and observations. The results of the study indicate that the mass media are restructuring their organizations by forming digital divisions, implementing revenue diversification strategies, and utilizing digital technology in content production and distribution. In addition, it was also found that the media faces serious challenges such as the digital competency gap, algorithmic pressure, and ethical dilemmas related to journalistic professionalism. This transformation requires media management to be adaptive, data-based, and to maintain the principles of journalistic ethics in the decision-making process. This study contributes to the development of media management theory and offers practical recommendations for industry players in facing the increasingly complex digital communication ecosystem.
Perancangan Sistem Informasi Manajemen Karyawan Berbasis Web Menggunakan Model Extreme Programming pada PT Volar Mekanikal Teknologi X Luminous Creation Suthansa Gading Prasetyo; Arya Ramandanu Roy Carol Rais; Khairil Yusuf; Wasis Haryono
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.896

Abstract

The advancement of information technology has encouraged companies to enhance operational efficiency through computerized systems, particularly in human resource management. PT Volar Mekanikal Teknologi x Luminous Creation faces challenges in manual attendance recording, unsystematic leave management, and a payroll system that lacks integration. Therefore, this study aims to design and implement a web-based Employee Management Information System using the Extreme Programming (XP) methodology. The system focuses on three main features: attendance tracking using GPS and selfie verification, online leave applications, and automated payroll calculation integrated with attendance data. The system development process includes planning, design using Unified Modeling Language (UML), coding with the Laravel framework and MySQL database, and testing through the Black-Box method. The implementation results show that the system effectively improves efficiency and accuracy in employee management, while also supporting the company’s operational activities in a more professional and structured manner.
Penerapan Business Process Model and Notation dalam Meningkatkan Efisiensi Proses Bisnis Aplikasi PLN Mobile Yan Pandra; Imamulhakim Syahid Putra
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.926

Abstract

This study aims to improve business process efficiency in the PLN Mobile application through the implementation of Business Process Model and Notation (BPMN). PLN Mobile is a digital innovation by PT PLN (Persero) that allows customers to access services such as bill payment, outage reporting, and service requests. However, various challenges remain, including slow processing times, lack of system integration, and inefficient workflows. The research was conducted at PT PLN (Persero) UP2D S2JB using observation, interviews, and literature review. The results indicate that modeling business processes using BPMN effectively maps workflows, identifies bottlenecks, and offers digital-based solutions. The application of BPMN has been shown to increase transparency, reduce input errors, and accelerate customer service processes. This study recommends ongoing optimization through enhanced analytics features, system security, and regular training for operational staff.
Evaluasi Kepuasan Pengguna Aplikasi Inspekta di PT. PLN UP2D S2JB Menggunakan Metode Pieces Aditya Revaldo; Imamulhakim Syahid Putra
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.927

Abstract

This study aims to evaluate user satisfaction with the Inspekta Application at PT PLN UP2D S2JB using the PIECES Framework approach, which covers six key aspects: Performance, Information, Economy, Control, Efficiency, and Service. Data was collected through questionnaires distributed to 30 respondents who are active users of the application. The analysis results show that all PIECES indicators scored in the "satisfied" category, with the highest score in the efficiency aspect (4.14) and the lowest in the economic aspect (3.80). Although the Inspekta application has generally had a positive impact on operational efficiency and reporting processes, improvements are still needed in data security and technical support. This study offers strategic recommendations to enhance application quality and support the organization’s overall performance.
Analisis Efektivitas Konsep Polimorfisme dalam Menyederhanakan Desain Perangkat Lunak Atikah Nurpadhilah, Naurah; Aliya Dwi Ardiyanti; M. Aufa Rafiqi; Nur Ayu Siti Hardianti; Mufid Faruq Aziz
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.928

Abstract

Object-Oriented Programming (OOP) is a programming paradigm that emphasizes the use of objects and classes to build modular and maintainable software. One of the fundamental concepts in OOP is polymorphism, which is the ability of objects from different classes to respond to the same method in different ways. This study aims to analyze the effectiveness of the polymorphism concept in directing software design in terms of code structure, development utility, and maintenance efficiency. The research method used is a literature study and program code simulation using a procedural approach compared to an object-oriented approach that applies runtime polymorphism. The results of the analysis show that the use of polymorphism can significantly reduce the number of lines of code, logical structure traffic, and facilitate feature expansion without the need to change existing code. Thus, polymorphism has proven effective in improving readability, reusability, and scalability of software design.
Implementasi Network Automation untuk Backup Konfigurasi Perangkat Jaringan Melanie Putria; Agustinus Marcello Soebiantoro; Harry Aprianto; Wasis Haryono
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.929

Abstract

PT Multipolar Technology Tbk is a leading information technology (IT) solutions provider in Indonesia, specializing in system integration, IT consulting, and outsourcing services. As part of the Lippo Group business ecosystem, the company plays a pivotal role in driving digital transformation across various industries, including banking, retail, telecommunications, and government sectors. Through strategic partnerships with global technology leaders such as IBM, Oracle, Cisco, and Microsoft, Multipolar Technology delivers comprehensive solutions encompassing hardware, software, cloud services, and data center infrastructure. Additionally, through its subsidiary PT Visionet Data Internasional (VisioNet), the company offers large-scale managed services. Its commitment to service excellence and technological advancement positions Multipolar Technology as a trusted partner in the digital journey of organizations throughout Indonesia.
Analisis Sentimen Masyarakat terhadap Program Makan Siang Gratis di Indonesia Tahun 2024 Menggunakan Long Short-Term Memory (LSTM) Silvia Amara; Novriyenni, Novriyenni; Muammar Khadapi
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.930

Abstract

The free lunch program is a goverment initiative aimed at addressing the issue of stunting in Indonesia. This program focuses on toddlers, school-age children and pregnant women. Various opinions have emerged from the public regarding this initiative, especially through sosial media platform X (Twitter) and news portals. In this research, sentiment analysis was conducted to understand public responses to the program, whether they are positive, neutral or negative. To evaluate the accuracy of the sentiment analysis perfomed, a deep learning approach was applied using the Long Short-Term Memory (LSTM) algorithm. The results show that public sentiment varies responses, on social media X tend to be negative, while those on news portals tend to be positive toward the free lunch program in Indonesia. Through LSTM-based testing, sentiment analysis on tweet data achieved an accuracy of 88.6%, with a precision of 84.6%, recall of 88.6% and an F1-Score of 86.3%. Meanwhile, sentiment analysis on news portal data reached an accuracy of 89%, with a precision of 81.7%, recall of 89% and an F1-Score of 85.1%.
Analisis Kepuasan Pengguna Jaringan WiFi di Badan Pusat Statistika Lombok Tengah dengan Metode Servqual Rial Husne; Sofiansyah Fadli
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.931

Abstract

Reliable internet connectivity is a crucial element in supporting work effectiveness at the Central Bureau of Statistics (BPS) in Central Lombok. However, users of the internal WiFi network have reported various issues, including inconsistent speed and weak signal stability. This study aims to analyze user satisfaction with the WiFi network services using the Servqual method, which assesses service quality based on five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. A quantitative approach was employed by distributing questionnaires to employees and staff who utilize the network. Data analysis was conducted by measuring the gap between users’ expectations and their perceptions of the service quality. The results show that most dimensions experienced a negative gap, particularly responsiveness (-0.47) and tangibles (-0.40), indicating inadequate response speed and suboptimal infrastructure conditions. Conversely, assurance (+0.40) and empathy (+0.27) showed positive gaps, reflecting users’ trust in the competence of IT staff and their perceived attentiveness. These findings highlight the need for technical evaluations, infrastructure improvements, and capacity building of human resources through regular training. This research contributes to the understanding of information technology service quality in the public sector and provides a foundation for strategic decision-making to enhance digital services. Moreover, the study encourages further research using mixed methods to gain a more comprehensive understanding of user satisfaction with WiFi services in government institutions.
Implementasi Metode Optical Character Recognition (OCR) untuk Deteksi Karakter pada Citra Plat Nomor Kendaraan Bermotor Mohammad Ridwan Bayu Pratama; Asrorul Faradis; Soffiana Agustin
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.938

Abstract

Manual collection of vehicle license plates is often inefficient and prone to errors, so an automatic identification system is needed. This research aims to implement and evaluate the performance of a license plate character detection system, focusing on the accuracy comparison between black and white base plates in Indonesia. The method used is Optical Character Recognition (OCR) with image preprocessing workflow including Grayscale, Gaussian Blur, and edge detection implemented in Google Colab. The system was tested using 100 primary data samples consisting of 50 black base plates and 50 white base plates. The findings showed that the system achieved a combined average accuracy of 84.36%. Specifically, it was found that the accuracy on the black base plate (85.40%) was slightly superior to that on the white base plate (83.32%). The implication of this study is that the change in license plate standards has a measurable technical impact on the ANPR system, where the findings can serve as a foundation for developers to calibrate the system to be reliable on both plate types during the transition period.
Penerapan Metode K-Means Clustering dalam Menentukan Strategi Operasi P2tl Berdasarkan Data Pelanggaran Pelanggan: (Studi Kasus : PT. PLN (Persero) UP3 Binjai) Indah Permata Sari; Hotler Manurung; Suci Ramadani
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.940

Abstract

PT. PLN (Persero) UP3 Binjai faces challenges in handling electricity usage violations that increase every year. Lack of utilization of data violations that can be utilized to produce useful information in supporting strategic decision making by PLN, especially in the implementation of Electricity Usage Control (P2TL) activities. This study aims to identify customer violation patterns based on rayon, power, and type of violation with data mining methods using the K-Means Clustering algorithm. The results of the study show that the 3rd cluster represents the most violation-prone area, namely in the West Binjai Rayon, with a power of 450 VA and the most frequent type of P2 violation. The results of the study show that the K-Means algorithm with the Elbow method is able to systematically group data violations based on certain characteristics. The results of this study can provide recommendations to PLN UP3 Binjai to improve the effectiveness of monitoring and enforcement strategies through a more targeted approach.  

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