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TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Published by Universitas Methodist Indonesia
ISSN : -     EISSN : 28281276     DOI : https://doi.org/10.46880/tamika
Core Subject : Economy, Science,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi merupakan Jurnal Penelitian Bidang Manajemen Informatika dan Komputerisasi Akuntansi yang dikelola ole Program Studi Manajemen Informatika dan Komputerisasi Akuntansi dan diterbitkan oleh Universitas Methodist Indonesia. TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi terbit per semester di bulan Juni dan Desember setiap tahun.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 361 Documents
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Implementasi Metode Certainty Factor dan Bayesian dalam Sistem Pakar Diagnosa Inkontinensia Urine Lansia Putri Taqwa Prasetyaningrum; Mutaqin Akbar; Agus Sidiq Purnomo; Irfan Pratama; Imam Suharjo
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp191-199

Abstract

Urinary incontinence is a medical condition commonly experienced by the elderly, requiring prompt and accurate diagnosis for effective treatment. This study aims to develop and compare the performance of two methods in expert systems for diagnosing urinary incontinence in the elderly: Certainty Factor and Bayesian. The developed expert system is web-based and utilizes a symptom dataset collected from the Santa Monika Boro Nursing Home. The findings reveal that the Certainty Factor method excels in diagnostic processing speed, while the Bayesian method offers higher accuracy in diagnostic predictions. This comparison provides valuable insights into selecting appropriate approaches for expert system applications in medical settings.
Application of Decision Tree Algorithm Method to Analyze Traffic Accident Patterns Rusmin Saragih; Marto Sihombing; Anton Sihombing; Rivalri Kristianto Hondro
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp200-202

Abstract

Traffic accidents are complex problems that involve many variables such as weather conditions, vehicle type, location, and driver behavior. With the development of data processing technology, it is possible to analyze accident data in more depth to find significant hidden patterns. The Decision Tree algorithm is applied to predict the likelihood of an accident occurring and identify the factors that contribute most to the accident. The data used consists of accident records collected from various sources, including official reports and traffic statistics. The Decision Tree algorithm was chosen due to its ability to handle both categorical and numerical data, as well as the ease of interpretation of the analysis results. The results of this study show that factors such as vehicle speed, time of occurrence, and road conditions have a significant influence on the probability of an accident occurring. The results of news extraction are analyzed by creating decision rules to determine the pattern of accidents that occur. This decision rule is in the form of a decision tree with a dataset that uses data with the highest fatalities with the imputation feature mode by concept as a method of handling missing values and toll roads as attributes, resulting in an f1-score value of 60.00% and an accuracy value of 70.40%.
Perancangan Sistem Informasi Pengaduan Mahasiswa Universitas Methodist Indonesia Berbasis Web Rini Inriani Katarina Sitanggang; Jamaluddin Jamaluddin; Roni Jhonson Simamora
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp136-142

Abstract

Universitas Methodist Indonesia (UMI) faces various limitations in handling student complaints, which hinder the effectiveness of problem resolution. This research aims to build a web-based student complaint information system that can accommodate and manage student complaints quickly and efficiently. The observation method is used to observe the ongoing complaint process and interactions between students and the existing complaint system. Implementation of this system begins with the creation of a database designed to store and manage complaint data, user information and other important data. The system backend was developed using PHP to handle business logic, including complaint processing, user management, and interaction with the database. As a result, this system changes the complaint management process from previously manual to more efficient and computerized, so that students can easily submit complaints, monitor status, and view complaint history. This system also allows the campus to respond to complaints more quickly and effectively.
Perancangan Aplikasi Survey Kepuasan Pada Program Studi D-lll Manajemen Informartika dan Komputerisasi Akuntansi Universitas Methodist Indonesia Berbasis Web Eriska Hottriani Sinurat; Jamaluddin Jamaluddin; Eva Julia G. Harianja
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp184-190

Abstract

Currently, study program services to students are considered as one of the tools to achieve the competitive advantage of study programs. The purpose of this research is to design a web-based application that can measure student satisfaction in the D-III Management Informatics and Computerized Accounting Study Program at Methodist University of Indonesia. So far, the satisfaction survey has been carried out in a conventional way through Google Form and to recap the incoming data using Ms.Excel. The application design is carried out with a modeling language using UML and the programming used is PHP using the MySQL database. This application is designed to collect data on student satisfaction with academic services, learning processes, student services and facilities and infrastructure. The results of this survey will provide recommendations to the head of the study program on indices that need to be improved and support the study program accreditation process. 
Comparison of SVM, KNN, And Naïve Bayes Algorithms in Monkeypox Disease Classification Kelvin Leonardi Kohsasih
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp168-174

Abstract

Advances in medical technology have enabled the application of machine learning for disease classification, including monkeypox. Monkeypox is a zoonotic disease caused by the monkeypox virus and can be detected through patient data. This study aims to compare the performance of Support Vector Machine (SVM), k-Nearest Neighbors (KNN), and Naïve Bayes algorithms in building a monkeypox classification model. The dataset used consists of 25,000 patient records. The results show that the SVM model with a linear kernel achieved the best accuracy compared to KNN and Naïve Bayes. These findings demonstrate that the SVM model with a linear kernel is highly effective in classifying monkeypox, offering great potential for further medical applications.
Implemntasi K-Means Clustering Untuk Menentukan Tingkat Bencana Rawan Banjir di Wilayah Sumatera Utara Reimer Fernando Purba; Astri Agnes Panjaitan; Labora Triasi Butar-Butar; John Franz E.D.L. Sitorus; Rosanti Rumapea; Indra M. Sarkis S.
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp210-215

Abstract

This study focuses on identifying flood-prone areas in North Sumatra, one of the provinces in Indonesia that is very vulnerable to natural disasters such as floods. The impact of floods often results in significant material losses and fatalities. Therefore, it is important to identify high-risk areas so that prevention and mitigation strategies can be implemented effectively. This study uses the K-Means clustering method and Rapid Miner software to determine the area’s most vulnerable to flooding. The results of the analysis show that areas with high flood risk are included in cluster 1, which includes areas with high potential flood vulnerability based on historical data and flood risk indicators that have been analyzed. These findings can be used to design strategies that are implemented and provide greater contributions to the region.
Perancangan Sistem Informasi E-Surat pada Dinas Penanaman Modal Pelayanan Terpadu Satu Pintu dan Ketenagakerjaan Berbasis Web Giben Frautama Manik; Marlyna Infryanty Hutapea; Gortap Lumbantoruan
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp203-209

Abstract

This research aims to design a web-based e-letter information system for the One-Stop Investment and Integrated Service Agency and Manpower (DPMPTSPK). The system is designed to facilitate the management of incoming and outgoing letters, as well as to improve efficiency in office administration. The issues faced by the related agency include a manual letter archiving process that is slow and prone to human error, which hinders service delivery. This research employs a system development method using the System Development Life Cycle (SDLC) approach, which includes stages of needs analysis, system design, implementation, and testing. The technology used is web-based programming, with PHP as the programming language and MySQL as the database for data management. This system enables integration of electronic letters, status tracking of letters, and easy archive searches. The results of the research indicate that the designed e-letter system is capable of accelerating the letter management process, reducing the risk of document loss, and enhancing transparency and accountability within the organization. With this system in place, it is hoped that DPMPTSPK can provide more effective and efficient services to the public.
Sistem Pendukung Keputusan Perangkingan Penjualan Produk Terlaris pada PT. Garuda Mitra Kimia Menggunakan Metode Aras Berbasis Android Yogi Nanda Gunawan; Mutiara Sovina
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 6 No 1 (2026): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol6No1.pp71-80

Abstract

PT. Garuda Mitra Kimia is a company that distributes or sells chemicals and also distributes its products. Chemical inventory in the company is the most important thing for the company. The company must be ready to provide chemicals that are often needed by customers. A problem that often occurs at PT. Garuda Mitra Kimia is difficulty in determining the best-selling products so that product inventory is not structured according to the best-selling products. Often there are errors in inputting sales data so that the stock in the warehouse is not appropriate, which can complicate product inventory management so that sales reports for the best-selling products have not been properly systematized. To overcome these problems, PT. Garuda Mitra Kimia requires a system for product sales so that PT. Garuda Mitra Kimia can determine product inventory stock for best-selling products. The result of this study is an Android-based system by implementing a decision support system to determine the sales of best-selling products at PT. Garuda Mitra Kimia using the ARAS method, which aims to make it easier for companies to obtain sales reports for best-selling products with appropriate and well-systematized management data.
Pendekatan Regresi Linear Berganda untuk Estimasi Pengeluaran per Kapita di Desa dan Kota untuk Wilayah Sumatera Utara Agnes Tri Abiya Perangin-angin; Elsa Adella Siburian; Geri Juna Putra Orando Purba; Jeffry Delay Silaban; Raisa Delvina Br. Pakpahan; Theodora Risma Naftali; Indra M. Sarkis S.
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp220-226

Abstract

The level of community welfare can be seen from economic factors. To find out the economic welfare of the community requires the calculation of per capita expenditure. Identifying per capita expenditure estimates can be a reference for the government and a company to find out the economic dynamics of the community. The expenditure data is per capita expenditure in villages and cities for the North Sumatra region, this data is taken from the BPS website. In estimating using the Multiple Linear Regression method and to analyze its accuracy using MAPE analysis. The results of estimation with multiple linear regression on per capita expenditure in villages and cities in North Sumatra for 2024 are 11,182, and the value obtained from the calculation with MAPE is 0.933% which means the accuracy level is 99.067%.
Analisis Pengaruh Jumlah Pengangguran Terhadap Tingkat Kemiskinan Menggunakan Metode Regresi Linear Sederhana Fransisco Julius Marpaung; Johan Siregar; Crisvan Simamora; Gilbert Surbakti; Valdiona Ginting; Indra M. Sarkis S.
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp249-253

Abstract

Unemployment and poverty are problems that many people in the region experience, one of which is the city of Medan. Unemployment is one of the main causes of poverty in the community because there are not enough jobs to meet the needs of life. This study aims to analyze the influence of the unemployed on the poverty rate in Medan City using a simple linear regression method. The data came from the Central Statistics Agency of Medan City during the last five years. The analysis results showed a positive relationship between the number of unemployed and the poverty rate, with the regression coefficient showing that every 1% increase in the unemployment rate would increase the poverty rate by 1,147,853,639. The analysis results using the simple linear regression method show that the value of a= constant is 176,1392505, which means that if there is no unemployment (X), the poverty number (Y) is 176,139250. As for the b = regression coefficient, the value is 1,147853639. This means that by adding 1% to the unemployment rate (X), the number of people living in poverty (Y) will increase by 1,147853639. This research is expected to contribute to designing effective policies to reduce unemployment and poverty in Medan City.

Page 35 of 37 | Total Record : 361

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