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METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi
Published by Universitas Methodist Indonesia
ISSN : 25988565     EISSN : 26204339     DOI : 10.46880
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
Sistem Informasi Sistem Informasi Manajemen Sistem Informasi Akuntansi Manajemen Basis Data Pengembangan Aplikasi Web dan Mobile Sistem Pendukung Keputusan Desain Grafis dan Multimedia Audit Sistem Informasi Topik-topik lain yang Relevan dengan bidang ilmu Manajemen Informatika Topik-topik lain yang Relevan dengan bidang ilmu Kompuerisasi Akuntansi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 350 Documents
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Implementation of Scrum Method in ERP-Based Employee Performance Evaluation System Chandra, Darren Denisson; Tobing, Fenina Adline Twince; Kusnadi, Adhi; Nainggolan, Rena; Hassolthine, Cian Ramadhona
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp201-209

Abstract

Human capital is a key factor in realizing an organization’s vision and mission. To ensure optimal performance, employee output must be evaluated consistently through a well-organized appraisal process. Although PT Kompas Media Nusantara has adopted such evaluations, they are still carried out using traditional methods, such as distributing physical documents. To address these inefficiencies, an ERP-based Employee Performance Evaluation System has been designed to streamline workflows, enhance accessibility, and support a more standardized and systematic assessment process. This system utilizes Key Performance Indicators (KPIs) aligned with individual job responsibilities to measure performance. The development process adopts the Scrum methodology, while system validation is carried out through Black Box Testing. The test results reveal that the system performs reliably, achieving a 100% accuracy rate in matching inputs and expected outputs. To assess user satisfaction, the End User Computing Satisfaction (EUCS) framework combined with a Likert scale was employed. The evaluation produced high satisfaction scores across various dimensions: content (89.12%), accuracy (87.02%), layout and design (88.07%), user-friendliness (89.12%), and timeliness (86.84%). These findings indicate strong user acceptance of the ERP-based system, reinforced by consistently positive user feedback regarding its effectiveness and ease of use
Perancangan Smart Stick untuk Mobilitas Penyandang Tunanetra Berbasis Mikrokontroler Prayoga, Estu; Sandi A, Arif Setia; Nisa, Khoirun
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp210-219

Abstract

The development of assistive technology for visually impaired individuals is essential to enhance their mobility and safety. This research successfully designed and developed a Smart Stick based on a microcontroller, equipped with ultrasonic and water level sensors to detect obstacles and water puddles in real-time. The system provides immediate warnings through a speaker, allowing users to navigate their environment more effectively. The testing phase demonstrated that the ultrasonic sensor accurately detects obstacles within a range of 50–150 cm, while the water level sensor activates an alarm when the water reaches 40 mm. The results indicate that the Smart Stick is reliable in detecting obstacles and providing early warnings, improving the independence and security of visually impaired users. Future improvements may include IoT integration, Bluetooth headset compatibility, and enhanced sensor accuracy to optimize its functionality.
Efisiensi Pemesanan Makanan dengan Aplikasi Android Berbasis Metode Rapid Application Development Sumantri, Raden Bagus Bambang; Fadli Anadrea; Lina Endarwati; Evan Irmansyah W.
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp226-237

Abstract

Technological advancements have provided efficient solutions for various activities, including those in the culinary business sector. With the growing use of smartphones, especially Android-based devices, there is a rising demand for a practical and fast food ordering system. This study aims to design and develop an Android-based food delivery application to address the limitations of manual ordering methods in restaurants, such as miscommunication and long queues. The development process adopts the Rapid Application Development (RAD) method, involving stages such as business modeling, data modeling, and application generation. Data were collected through observation, interviews, and literature review, and analyzed using qualitative methods. The implementation results show that the “PESANMAKAN” application improves the ordering process by providing complete menu information, order tracking, and transaction history features. Testing using the black-box method confirmed that all application functions operate as intended. In conclusion, this application effectively enhances restaurant operational efficiency and customer satisfaction, serving as a relevant digital solution for modern food ordering needs.
Business Intellegenge untuk Perencanaan Strategi Pemasaran pada UMKM Sarung dengan Manajemen Dashboard Setianto, Wahyu; Sugianti, Devi; Wibowo, Ari Putra; Risqiati, Risqiati; Darmawan, Arief Soma
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp220-225

Abstract

MSMEs are the backbone of the national economy, the government is trying to recover the economy after the Covid-19 pandemic by making a new breakthrough with digitalization. Digitalization helps MSMEs to process and analyze data for decision making. The data stored in the company is increasing, so it requires Business Intelligence to make it easier for companies to present information. MSME Abitex experienced problems in planning sales strategies by looking at interest in each city. The stages of research carried out were problem identification, data collection, design, manufacture, testing results. In identifying problems, problems were found in monitoring sales to create sales strategies, in data collection from 2021 to 2023. The number of transactions was 807 sales with 3 types of sarongs, a total of 14 sarongs produced. In designing using a star schema obtained from the sales fact table, time dim, customer dim, goods dim. Business intelligence can display data visualization by grouping by product, customer and by time, and can see interest in products in each city
Analisis Pengaruh Variasi Nilai P Pada Metode Minkowski Distance dalam Menentukan Kemiripan Abstrak Skripsi Simanullang, Harlen Gilbert; Silalahi, Arina Prima; Duha, Nadyarni Natalis Caesarin
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp255-263

Abstract

The Computer Science Study Program of Universitas Methodist Indonesia is faced with the challenge of verifying the authenticity of student theses, which is still done manually. This study applies the Minkowski Distance method to analyze the level of similarity of thesis abstracts using one hundred samples. The preprocessing stage is carried out through five systematic steps: cleansing to remove non-alphabetic characters, case folding for letter standardization, tokenizing for text splitting, filtering for stopword elimination, and stemming to obtain root words, resulting in word vectors that are analyzed. The Minkowski Distance method is implemented with three parameter variations P = 3, P = 5, and P = 7, where the selection of parameters is based on differences in sensitivity to vector dimensions, the higher the P value, the greater the emphasis on significant differences between dimensions. The test results show that the parameter P = 7 provides the most optimal similarity measurement with the smallest distance of 3.84 for documents with the highest similarity. These findings contribute to the development of a more effective similarity detection system to maintain academic integrity.
Perancangan E-Sukerti (Surat Keterangan Elektronik) Desa Baturiti Berbasis Web Berbasis Black Box Testing Sanjaya, I Gede Wahyu; Kartika, Luh Gede Surya; Utama, Putu Kussa Laksmana
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp264-274

Abstract

The digital transformation of village administration is a strategic step in enhancing the efficiency and transparency of public services. This study aims to design and develop the E-SUKERTI (Electronic Certificate) system for Baturiti Village, a web-based platform to facilitate the creation and management of electronic certificates. The system development follows a web-based system design approach, with system testing conducted using the Black Box Testing method. Testing was performed with 16 test cases focusing on system functionality to ensure compliance with user requirements. The results indicate that all system features function correctly, achieving a 100% success rate, demonstrating that the system meets its functional requirements. The implementation of E-SUKERTI is expected to improve the speed, accuracy, and transparency of village administrative services for the community.
Analisis Manajemen Risiko Aset Teknologi Informasi pada Perusahaan Sistem Integrator dengan Menggunakan Metode Octave Allegro Indriani, Amelia Dwi; Yunitasari, Tristyanti
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp238-254

Abstract

The Utilization of Information Technology frequently carries significant security risks, both from external threats such as cyber attacks (viruses, malware, phishing, ransomware) and from internal factors such as human error. This research aims to identify, assess, and mitigate the risks of information technology assets in an Indonesian system integrator company using the OCTAVE Allegro method. This method was chosen because it focuses on critical information assets and provides a structured approach through eight steps in four phases of analysis. The results of the study show that there are four critical assets in the company's information technology, namely hardware, software, data and information, as well as access rights and credentials. Based on the risk assessment matrix, data and information assets have the highest risk score with an average of 38.8, followed by access rights and credentials (38), software (37.42), and hardware (36.33). All risk categories are in POOL 1, which means they require immediate mitigation measures. Consistent implementation of risk management is expected to strengthen the company's resilience to information security threats and also enhance its reputation and competitiveness in the technology industry.
Perbandingan Convolutional Neural Network dan Algoritma Machine Learning Konvensional untuk Klasifikasi Kemiskinan Multidimensional di Indonesia Sarwanti, Ruth Tika; Umaidah, Yuyun
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp275-281

Abstract

Multidimensional poverty in Indonesia is a complex phenomenon involving various interconnected social, economic, and structural aspects. Conventional approaches to poverty classification often fail to capture non-linear interaction patterns and spatial dependencies inherent in multidimensional socio-economic data. This research aims to compare the performance of Convolutional Neural Networks (CNN) with conventional machine learning algorithms such as Random Forest and XGBoost in classifying multidimensional poverty in Indonesia. The research method employs a comparative quantitative approach using data from the 2023 National Socio-Economic Survey (Susenas) by BPS, covering 8.000 household observations. The target variable is multidimensional poverty status based on the Multidimensional Poverty Index (MPI) with a 1/3 cutoff. Data was split 70:30 for training and testing, with preprocessing including missing value imputation, one-hot encoding, and Min-Max scaler normalization. The CNN model was designed with a two-convolutional layer architecture, while Random Forest used 200 decision trees and XGBoost with 200 estimators. Research results demonstrate that CNN provides the best performance with 82.4% accuracy, outperforming Random Forest (80.1%) and XGBoost (81.2%). Important variable analysis reveals that housing infrastructure conditions, household head education level, and sanitation access are key factors in determining multidimensional poverty, providing strategic input for formulating more targeted poverty alleviation policies.
Analisis Multi-Kriteria dengan Pendekatan Analytical Hierarchy Process Untuk Strategi Mitigasi dan Adaptasi Bencana Banjir di Distrik Nabire Kabupaten Nabire Husain, Husain; Siallagan, Johnson; Manalu, Janviter; Walukow, Auldry F.; Rumahorbo, Basa T.
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp282-291

Abstract

Nabire Regency, Central Papua Province, has a high vulnerability to flooding due to significant rainfall intensity. Risk analysis was conducted using the Analytical Hierarchy Process (AHP) method to determine the priority of factors causing flooding, including hydrological aspects, land use, infrastructure, and socio-economic impacts in a systematic manner. The results of this study indicate that the analysis of public perception of flooding disasters was conducted by modeling data using a Likert scale, which was processed computationally to generate patterns of public perception. The Analytical Hierarchy Process (AHP) method was used to determine the priority of data-based mitigation strategies. The results confirm that BPBD plays a dominant role in flood risk management through the integration of adaptive and sustainable environmental information systems.
Analisis Sentimen Orang Tua Murid Baru Terhadap SMPN 40 Samarinda pada SPMB 2025 Menggunakan Algoritma Naïve Bayes Putra, Resifa Ananta; Heny Pratiwi; Ahmad Abul Khair
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp292-299

Abstract

The New Student Admission Selection (SPMB) plays an essential role in ensuring equal educational access in Indonesia. However, during SPMB 2025 at SMPN 40 Samarinda, many candidates living nearby did not choose the school as their first preference, suggesting that perceptions and school image significantly influenced their choices. This study aims to analyze new student parents sentiments toward SMPN 40 Samarinda using the Naïve Bayes algorithm combined with the Term Frequency–Inverse Document Frequency (TF-IDF) technique. Data were collected from 42 respondents and categorized into positive, neutral, and negative sentiments. The model achieved an accuracy of 86%, precision of 56%, and recall of 63%, showing that Naïve Bayes performs effectively on limited data, though less sensitive to minority classes. The analysis revealed that most parents expressed positive perceptions, indicating growing trust that SMPN 40 Samarinda can support students’ character development. These findings emphasize the importance of strengthening school image and service quality while highlighting the potential of machine learning–based sentiment analysis as a data-driven approach to understanding educational perceptions.

Page 24 of 35 | Total Record : 350

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