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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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Designing a Web-Based Light Novel Application with an LLM-Powered Chatbot Recommendation System Using Scrum Methodology Christian, Yefta; Siahaan, Mangapul; Hansvirgo
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp174-186

Abstract

In the era of the internet’s exponential growth, readers are often overwhelmed by the plethora of books available, particularly in the genre of light novels. This research aims to address this issue by developing a recommendation system for light novels, utilizing a chatbot interface. The methodology employed follows the Borg and Gall model, with a focus on research, information collection, planning, and development stages. The research stage involved the use of questionnaires to gather data and analyze the parameters to be used in the recommendation system. The development stage was carried out using the Scrum methodology and the Retrieval Augmented Generation (RAG) approach for the chatbot’s functionality. The outcome of this study is a web-based online light novel application and featuring a chatbot conversational recommender system. Through this system, users can access and read light novels online, while also utilizing the chatbot to request novel recommendations. The research findings demonstrate the successful integration of Large Language Model (LLM) technology into the web-based light novel application. The Scrum development approach facilitated efficient system creation, and the RAG-based chatbots are seen as successful in producing recommendations that match user queries based on existing knowledge. Recommendation results are obtained from semantic search and from the ranking vector with the highest score.
Pengujian Antarmuka, Beban dan Kinerja, serta Keamanan Aplikasi pada Platform Belajar Online Myskill Azkiya, Churun Ain Azkal; Sari, Putri Dwi Mita; Balafif, Nufan
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp199-205

Abstract

Information system testing is a crucial step in software development. With the increasing number of users and the complexity of features on the MySkill platform, testing the information system is very important to ensure quality and usability. This research focuses on interface testing, load and performance testing, and vulnerability testing with a qualitative approach. The flow of research methods is preliminary studies, scenario design, installation, testing, data analysis and conclusions. Interface testing with Selenium IDE tools showed positive results, but there were problems with the bootcamp registration process. Load and performance testing using Apache Jmeter shows that MySkill has a consistent response time, with an average response time of about 2 seconds and a standard deviation of about 1.5 seconds. Vulnerability testing using OWASP ZAP shows that MySkill has 15 alerts with categories of high, medium, low and informative.
Analisis Tingkat Kepuasan Mahasiswa dalam Kegiatan UKM di Stikom CKI Menggunakan Algoritma Naive Bayes Arvianto, Ramdani; Tundo, Tundo; Tresia, Eflin; Januarsyah, Firly
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp206-214

Abstract

The main problem in increasing the level of student satisfaction in UKM activities at STIKOM CKI is caused by various factors, including the rare frequency of meetings and the multiplication of material without significant development. This dissatisfaction can reduce students' interest in actively participating in UKM activities, which should be a source of positive experiences and skills development. Well-managed SME activities can be an important means of developing soft skills such as leadership, team collaboration and communication skills. However, when these activities are not managed well, the results can be counterproductive, causing frustration and dissatisfaction among students. Based on these problems, an application of the Naive Bayes algorithm will be carried out to determine the satisfaction level of STIKOM CKI students with 80 training data and 6 test data. After calculating, an accuracy rate of 83.33%, recall of 33.33%, and precision are obtained. 100%. Therefore, it is important to manage student satisfaction levels to avoid being counterproductive. One of the appropriate data mining algorithms to solve the case above is to use the Naive Bayes algorithm.
Penerapan Data Mining Menggunakan Algoritma Apriori pada Brand Milenials Cafe Gunawan, Hadi; Tundo, Tundo; Ramadhani, Devika Azahra; Waloeya, Farhan Adriansyah
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp215-221

Abstract

Millennials Café is a cafe that just opened in March 2024, in an effort to stay relevant and competitive in this field, Millennials Café needs to continue to innovate and adjust to customer preferences. One way is to utilize data mining technology. The Apriori algorithm is one of the data mining technologies that can be used. The application of the apriori algorithm to the Milenials Café transaction data aims to find association rules to be able to generate frequencies and relationships between one or more items in the transaction data in the Milenials Café. This research produces 33 association rules that can help the sales strategy at Milenials Café. The following are the association rules with the highest confidence value, namely the Thai Tea menu, Milo Dinasourus, 100% Millennials Pizza, Hezelnut Chocolate, Oreo Cookies and Cream Shake 97%. Millennials Pizza, Fried Potatoes 96%. The 33 rules that already exist can be used as a reference for the owner of Millennials Café to create a sales strategy that can increase cafe revenue.
Pengembangan Sistem Point of Sale Berbasis Web pada Toko Faafoo Menggunakan Framework Laravel Rahmadhani, Dimas Ibnu; Maryam, Maryam
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp241-249

Abstract

The industrialized world has undergone significant changes thanks to technological developments. One example of the utilization of technological advances is in the buying and selling system. In the operation of the Faafoo shop, the seller still uses a manual system in transactions, namely by using a calculator as a payment calculation. The transaction process can be done quickly and accurately to save time and reduce the risk of errors by using a Point of Sale (POS) system. The POS system is built using the Laravel framework and implements Customer Relationship Management (CRM) to build and maintain mutually beneficial relationships with customers. POS system development uses the Agile Method which has the advantage of being adaptable and flexible to changing user needs and uses Black Box Testing and Usability Testing with the System Usability Scale (SUS) method for system testing. The results of blackbox testing show that the system is able to meet all the requirements set and function correctly. In addition, the results of the SUS (System Usability Scale) test which obtained a final score of 75.5 showed that the system received an "acceptable" category, further confirming that the system has been designed and runs as expected. These two test results together provide strong support for the view that the system has been well developed and implemented.
Klasifikasi Berisiko Stunting pada Balita: Perbandingan K-Nearest Neighbor, Naïve Bayes, Support Vector Machine Ramadya Wahyu Dwinanto; Arif Setia Sandi A; Rian Ardianto
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp264-273

Abstract

Stunting in children under five is a significant health problem that impacts child development. This study aims to develop a classification model to predict stunting risk using SVM, KNN, and Naïve Bayes algorithms. Data from the Jatilawang Health Center included 523 under-fives with variables such as age, weight, length, arm circumference, z-score, parental education, and maternal health history. Following the CRISP-DM steps, the data was processed through handling missing data, feature selection, and dividing the data into training and testing sets with a ratio of 80:20. Results showed SVM had the highest accuracy of 90%, followed by KNN 89%, and Naïve Bayes 85%. This research produces a stunting risk prediction model that is implemented in a simple website, supporting early intervention and decision-making in stunting prevention efforts.
Digitalisasi Proses Survei Badan Litbang dan Diklat Kementerian Agama Republik Indonesia Melalui Pembuatan Aplikasi E-Survey Berbasis Web Husbi, Fazhli Ridwan; Ichwani, Arief
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp222-233

Abstract

In the era of globalization with rapid technological advancements, government agencies must actively keep up with these developments. Badan Litbang dan Diklat Kementerian Agama Republik Indonesia (RI) faces challenges in the survey data collection process, which is still conducted manually. This manual method leads to delays in data collection, potential data input errors, risk of data loss, and difficulties in efficient data management. This research aims to design and implement a web-based e-survey application using Laravel technology to assist the Badan Litbang dan Diklat Kementerian Agama RI in collecting survey data more efficiently and accurately. The application is expected to build a better survey system, enhance operational efficiency, and facilitate analysis and decision-making based on the collected survey data. The development of this application uses the Extreme Programming (XP) methodology, which allows the development team to quickly adapt to changing requirements, improve software quality, and ensure active stakeholder involvement. The results of this research are expected to help the Badan Litbang dan Diklat Kementerian Agama RI improve data collection efficiency, reduce recording errors, and provide quick access to survey results. Consequently, this agency can optimize their survey data collection processes more effectively
Klasifikasi Status Gizi Balita Menggunakan Algoritma Support Vector Machine dengan Optimasi Grid Search Cross-Validation Nadroh, Azkiyatun; Triwibowo, Deny Nugroho; Sumantri, R. Bagus Bambang
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp250-257

Abstract

Toddlers are children aged 0 to 59 months who experience rapid growth and development and require a higher intake of nutrients. This study aims to classify the nutritional status of toddlers using the Support Vector Machine (SVM) algorithm with Grid Search optimization. The quality of a toddler's nutrition significantly affects their growth and development, and malnutrition is a major issue in Indonesia. Data were obtained from Posyandu Desa Jagalempeni, comprising a total of 512 toddler data entries. After undergoing pre-processing and feature engineering, the data were classified using SVM. The initial results showed an accuracy of 80%. Following the application of Grid Search optimization with the Radial Basis Function (RBF) kernel, accuracy increased to 86.17%. These results indicate that Grid Search is effective in optimizing SVM model parameters and improving classification performance.
Implementasi Metode Yolo pada Deteksi Objek Manusia Herdianto, Herdianto; Hafni, Hafni; Nasution, Darmeli; Ramadhan, Syahrul
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp234-240

Abstract

Until now, the problem of theft of motorbikes and livestock in North Sumatra is still quite high.  Locations for motorbike theft can occur in many places such as schools, homes, parking lots, offices and so on, while for livestock it can occur on pastures and in pens during the day or night and the perpetrators are men. To make this theft a success, various modes are used in varying human positions, from sitting, squatting to standing. To help overcome this, several object detection methods have been developed such as Background Subtraction, Template Matching, Histogram Oriented Gradient (HOG), Deformable Part-based Model (DPM) and Viola Jones (VJ).   Of the many methods that have been used, there are still shortcomings, namely in terms of time, accuracy and various human positions.  For this reason, research was carried out with the aim of improving the time and level of accuracy in detecting human objects using the YOLO method. The research stages carried out in this research include literature study, collecting data, determining training and test data, creating programs, training, and testing. From the trials carried out, it is known that YOLO can detect humans in various positions with a mAP value of 0.99 and an average detection time of 810.01 ms.
Implementasi Sistem Informasi Akuntansi Penjualan dan Pembelian Menggunakan Metode Extreme Programming (Studi Kasus Toko Sumber Sayur) Patunisa, Riva Nursari; Sudrajat, Ari
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.pp1-11

Abstract

Sales and purchasing are the main activities of companies, especially trading companies. One of the techniques needed by trading companies to support business activities is the use of an appropriate accounting information system. Accounting information is closely related to business activities, because with accounting information the company can see the condition of the company's development so that it can be used as a source for decision making so that the company's goals can be achieved. The simple process of recording sales and purchase transactions using book media can cause various problems in reporting sales and purchase transactions and is ineffective. The Sumber Sayur Store in running its business still uses a conventional sales and purchase transaction recording system, namely recording using books. This is very detrimental and inefficient. The system was built using the Extreme Programming software development method. Based on the results of research and system testing, it can be concluded that this system can help overcome problems in sales and purchase transactions effectively with the results of system testing using the User Acceptance Test of 87,33%.

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