METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi

IMPLEMENTASI PROTOTYPE PADA SISTEM APLIKASI PERSURATAN KELURAHAN KEDUNGWUNI BARAT (SIPRAKAT) BERBASIS ANDROID

2024-02-12T13:08:57+07:00

Every agency needs letters, especially the Village Office, because many people need them for purposes such as moving, getting married, giving birth, etc. West Kedungwuni is one of the sub-districts in Kedungwuni District, Pekalongan Regency, Central Java. Prototyping is used when developing systems. This model produces software prototypes that allow users and developers to interact during the information system development process. After completing all research stages, the system created can meet the needs stated in the problem formulation and can assist in managing incoming and outgoing mail in West Kedungwuni District by integrating the database with the Mobile application. Results: 1. Can help in managing incoming and outgoing mail in West Kedungwuni District. 2. Process of distributing incoming and outgoing letters in West Kedungwuni District

EVALUASI TATA KELOLA TEKNOLOGI INFORMASI PADA PERUSAHAAN MENGGUNAKAN FRAMEWORK COBIT

2023-10-12T11:23:48+07:00

Teknologi informasi memegang peranan penting dalam sebuah perusahaan atau instansi lainnya, namun untuk melihat kesesuaian teknologi dengan kebutuhan perusahaan diperlukan evaluasi tata kelola teknologi informasi. Pada penelitian yang dilakukan, fokus evaluasi meliputi divisi Data Management PT Telkom Gaharu dengan menggunakan kerangka kerja COBIT 2019 dengan domain EDM04 (Ensure Resources Optimization), MEA01 (Managed Performance and Conformance Monitoring) dan DSS03 (Managed Problems) yang berfokus pada sistem informasi yaitu Unified Inventory Management. Penelitian ini menggunakan teknik pengumpulan data studi literatur, observasi, wawancara dan kuesioner yang dikelola menggunakan pengukuran skala Guttman dengan bantuan perhitungan Microsoft Excel. Evaluasi yang dilakukan berfokus pada nilai Capability Level dan Gap Analysis yang disajikan dalam bentuk Tabel dan Grafik Radar. Nilai Capability Level dari domain EDM04 sebesar 92% (Fully Achieved) dengan Gap Analysis 0.97 maka dapat dikatakan bahwa proses tata kelola teknologi informasi untuk domain EDM04 sepenuhnya sudah tercapai. Nilai Capability Level domain MEA01 sebesar 94% (Fully Achieved) dengan Gap Analysis 1.33 maka dapat dikatakan bahwa proses tata kelola teknologi informasi untuk domain MEA01 sepenuhnya sudah tercapai. Nilai Capability Level domain DSS03 sebesar 81% (Largely Achieved) dengan Gap Analysis 0.25 maka dapat dikatakan bahwa proses tata kelola teknologi informasi untuk domain DSS03 sepenuhnya sudah tercapai.

IMPLEMENTASI CLUSTERISASI UNTUK PENGELOMPOKKAN GAYA BELAJAR MAHASISWA DENGAN METODE K MODES

2024-02-13T13:49:30+07:00

One of the keys to success in learning is determining student learning styles. Learning styles are grouped into 3, grouping learning styles based on the characteristics of students. Sample data used for 3 classes in the artificial intelligence course with total data of 83 students who answered 36 questions. To be able to carry out student mapping using the k modes method for clustering. The K modes method is used because the data used is categorical. K modes can be used for multi-dimensional clustering and shorter computing times. With the clustering application for grouping student learning styles with a sample of 83 students by answering 36 questions to be divided into 3 groups, the results were 37 students for the visual group, 31 students for the auditory group and 15 students for kinesthetics. At the testing stage, black box testing is used. By knowing learning style groups, students can easily learn and absorb information

ANALISIS & PERANCANGAN SISTEM INFORMASI UKM BERBASIS WEB UNIVERSITAS NASIONAL KARANGTURI

2024-03-21T21:12:03+07:00

The UKM (Student Activity Unit) information system is one of the supporting factors for the progress of a university, especially for Unkartur (Karangturi National University) which currently requires online UKM data management. This research aims to analyze and design a web-based UKM information system for Unkartur. The author hopes that the interface design resulting from this research will help Unkartur in solving problems regarding the need for online SME data management. The methods used in this research are UML (Unified Modeling Language) and ERD (Entity Relationship Diagram).

PENGEMBANGAN SISTEM INFORMASI SURVEILANS INFEKSI TERKAIT PELAYANAN KESEHATAN DENGAN METODE WATERFALL

2024-03-31T20:43:07+07:00

Healthcare-associated infections (HAIs) are infections that occur when patients receive healthcare in a hospital or another healthcare facility. These infections can jeopardize patient safety, induce illness, and potentially lead to fatal outcomes. Prevention of HAIs involves the implementation of robust healthcare-associated infection surveillance practices and infection prevention and control measures. Surveillance activities, encompassing manual recording, daily monitoring, and manual reporting, may consume nursing time and pose a potential risk of inaccuracies. Therefore, we have undertaken the design of a healthcare-associated infection surveillance information system using the waterfall methodology. The information system has been developed using PHP language and a MySQL database. The deployment of this system aims to streamline and enhance the precision of record-keeping. The analytical insights derived from its reports can be harnessed to mitigate the incidence of healthcare-associated infections.

ANALISIS SENTIMEN TERHADAP APLIKASI LINKAJA MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER

2024-01-15T16:48:36+07:00

Electronic money is increasing, causing more and more service innovations to emerge. People carry out online transactions using electronic technology, or Fintech. The fintechs widely used today are e-wallets or digital wallets such as Dana, Ovo, LinkAja, etc. In this research, LinkAja as a fintech application will be analyzed using 100 review data samples and summarized into two classes: positive and negative. This research was carried out using the Naïve Bayes Classifier classification method. Sentiment analysis of reviews on the LinkAja application obtained results of 75% accuracy, 83% Precision, 75% Recall, and 73% F1_score.

PENERAPAN DEEP LEARNING YOLO UNTUK PENGUKURAN JARAK OBJEK MENGGUNAKAN MONO KAMERA

2024-04-04T11:55:26+07:00

Mobile robots are a type of robot that can move from one place to another. Therefore, this type of robot has been given the ability to detect objects and measure estimated distances to objects around it to then carry out actions to turn left and right, forward, backward or even stop to avoid collisions. In general, to measure the distance of objects on mobile robots, ultrasonic sensors such as the HC-SR04 are used and some also use cameras, although they can be used to measure distances, but the use of these sensors has disadvantages, such as the maximum distance that can be measured is 4 meters. Given this deficiency, the research that will be carried out will try a YOLO deep learning method that can detect objects and then measure the distance of objects around them. From the results of the tests that have been carried out, it is known that the distance to the object that can be measured is 31,400 mm with the actual object height being 1750 mm.

ANALISIS KUALITAS LAYANAN TERHADAP TINGKAT KEPUASAN PENGGUNA INDRIVE DI KOTA PALEMBANG

2024-03-31T22:09:29+07:00

User satisfaction will encourage them to use InDrive services, the results of the exploration with users reveal several problems such as server down and the application map display is not as intended to cause customer dissatisfaction with InDrive services. From this, it is hoped that this research will be a solution to the problem. To analyze the InDrive application, two kinds of methods are used, the ServQual and EUCS methods. The total number of respondents distributed was 100 people. The results of the analysis of the service quality level of the InDrive application in Palembang are Positive (+), with the results of the gap test between user perceptions and user expectations as a whole showing a value of 1.310, indicating that the InDrive application in Palembang has met user expectations. In the EUCS method, the results of the analysis of the Content Variable 4.08, Accuracy 4, Format 4.04, Ease of Use 3.96, and Timeliness 3.99 obtained the results of the analysis at the "Satisfied" satisfaction level. In hypothesis testing h0 and h1, h0 is concluded to have no effect on user satisfaction and h1 is concluded to have no effect on service quality.

ANALISIS SISTEM INFORMASI GEOGRAFIS PARIWISATA DI KABUPATEN SEMARANG

2024-04-23T09:39:30+07:00

As time goes by, technology is also developing, especially in the field of Geographic Information Systems (GIS). Geographic Information Systems (GIS) have become an important tool in analyzing, managing, and designing. In various fields and sectors. Semarang Regency is a region located in the province of Central Java which has many very diverse tourist destinations. Tourist destinations in Semarang Regency are relatively low in visitors compared to other regions. Therefore, the aim of this research is to design an application that functions to introduce tourist destinations in Semarang Regency to the wider community by adopting Geographic Information System (GIS) technology. This application makes it easier for visitors to find out tourist locations, see locations virtually using images, see place ratings based on public assessments, looking at the costs required to access tourist areas, etc. This design method uses qualitative methods and system design using UML (Unified Modeling Language)

ANALISIS USER EXPERIENCE PADA APLIKASI VOTING BERBASIS FLUTTER_: STUDI EVALUASI MENGGUNAKAN UEQ+

2024-05-06T14:14:25+07:00

This study aims to analyze user experience (UX) on the Muhammadiyah Paguyangan Voting Application Based on Flutter (EVoMu) to support electronic voting in selecting new leadership in the Muhammadiyah Paguyangan organization. This evaluative study employs the User Experience Questionnaire Plus (UEQ+) method, covering four main dimensions: Efficiency, Intuitive Use, Visual Aesthetic, and Trust. The author gathered data from 120 users who participated as voters in this election process. The research yielded a positive response to the EVoMu application, as evidenced by the overall scale average score exceeding 0.8. Additionally, data diversity across all scales was noted to be at a very good and acceptable level. Measurement results indicate high reliability across all scales. Trust level in the application emerges as the most influential factor in its implementation, with a mean importance rating of 2.68.

EVALUASI PENGALAMAN PENGGUNA FLEXIBLE LEARNING UKSW MENGGUNAKAN METODE USER EXPERIENCE QUESTIONNAIRE PADA PROSES PEMBELAJARAN

2024-05-09T17:40:40+07:00

Advances in the world of technology today are very rapid, especially in the world of education. Universities and schools definitely need a platform or moodle in the academic learning process, especially at Satya Wacana Christian University. Satya Wacana Christian University is one of the well-known universities and is much sought after by students in Central Java Province and outside Java Island. This campus uses Moodle in its learning process, namely Flexible Learning. Flexible Learning is used to simplify the teaching and learning process. However, Moodle learning, namely Flexible Learning, has not been proven to satisfy users. This journal was formed to test the experiences of using Flexible Learning among SWCU students. This research uses user experience with a questionnaire to determine satisfaction with using Flexible Learning among UKSW students. The research will be carried out using the method of determining the scope of research, literature review, problem analysis, research instruments, determining respondents, measuring UEQ, analyzing test results, and conclusions. The test results in this research involved a total of 50 students as respondents. The evaluation obtained from the research, namely the 6 aspects of the UEQ, can convey the results of measuring user experience and conclude the results of the UEQ.

PREDIKSI HARGA KELAPA SAWIT MENGGUNAKAN METODE REGRESI LINEAR BERGANDA

2024-05-06T15:18:27+07:00

Indonesia's plantation sector, especially palm oil, has a high selling value and its attractiveness continues to increase. The price of palm oil is strongly influenced by external factors, especially the price of crude oil (CPO) and palm oil production globally. Unstable price fluctuations have become a challenge for companies such as PT Bakrie Sumatera Plantations, Tbk. in planning harvest time and optimizing profits. To overcome this uncertainty, this study proposes the use of the Multiple Linear Regression method to predict palm oil prices. Price and production data from 2021 to 2023 are the main basis for developing the prediction model. In this study, 4 independent variables were used, namely year, month, oil price and total production. The amount of data used in this study is 33 data. In testing the Multiple Linear Regression method has an RMSE value of 0.24 and the predicted value of palm oil prices from January to December 2024 is the price of palm oil with the highest value in January 2024 of Rp. 2,276.931 / kg and with the lowest value in December 2024 of Rp. 1,474.75 / kg.

ANALISIS SKALABILITAS APLIKASI SMART PARKING MELALUI PENERAPAN CLEAN ARCHITECTURE

2024-05-09T17:47:51+07:00

This research aims to enhance the capabilities of smart parking applications with a focus on scalability, organized structure, and ease of maintenance. We adopt the principles of Clean Architecture to separate functional layers and ensure clear isolation between business logic and specific implementations. The implementation of Clean Architecture in smart parking demonstrates a structured approach with high cohesion and component independence. Tools such as freezed, Dio, and Bloc pattern contribute to the development that is maintainable and extensible. This study provides practical insights into the application of Clean Architecture in real-life scenarios, emphasizing structured features' core and efficient state management with the Bloc pattern. This approach illustrates how Clean Architecture can be effectively applied to achieve scalability, good organization, and ease of maintenance in developing smart parking applications.

PENERAPAN ALGORITMA DECISION TREE, SVM, NAÏVE BAYES DALAM DETEKSI STUNTING PADA BALITA

2024-05-09T17:49:48+07:00

Stunting is a toddler's body condition that is short according to body length according to age (PB/U), ≤ 2 Standard Deviations (SD), with a z-score between -3 standard deviations (SD). Where checking the stunting status of toddlers takes quite a long time because it is done manually and is also prone to errors. Therefore, it is hoped that a system can classify toddler examination data quickly and accurately to predict children's stunting status. Building a system that uses an algorithm to classify the stunting status of toddlers usingdecision tree, naïve bayes, andSVM. With what level of accuracy is the best of the 3 algorithms? Results from testing with 30% testing data and 70% training data using an algorithmdecision tree, naïve bayes, and SVM. Accuracy level test resultsdecision tree by 99%,naïve bayes of 48%, and SVM of 95%. So, the algorithm with the highest level of accuracy isdecision tree amounts to 99%. Wallet hiredecision tree better for detecting stunting in toddlers

PREDICTION OF FUTURE FLIGHT DELAYS BASED ON CURRENT DATA ANALYSIS USING MACHINE LEARNING

2024-05-09T17:54:51+07:00

Airplane transportation has many advantages compared to other means of transportation, where this means of transportation is able to cover long distances in a short time. Besides having advantages, of course, air transportation often experiences flight delays which can be caused by several things, including delayed flights due to late arrival (Arrival Delay), delays of the airline itself (Carrier Delay), previously late arrivals (Late Aircraft Delay), air traffic congestion (Nas Delay), security issues (Security Delay) and weather conditions (Weather Delay)

The tests carried out were 101,315 US flight delay data from 2017 to 2022. By using the Machine Learning method, the results obtained were that the largest flight delays were caused by late arrivals, namely 386,124,672, where the largest flight delays were by airlines. The airline, namely Southwest Airlines, is 61,474,379 of the total airlines, which is 20, and the biggest departure delay is at Chicago O'Hare International airport, which is in the city of Chicago, IL province, which is 20,912,928 of the total airport, which is 596. This research aims to predict future flights by analyzing current flight data, so that future flights can be better by overcoming or avoiding previous flight delay problems

PENERAPAN ALGORITMA K-MEANS DALAM PENGKATEGORIAN INSOMNIA

2024-04-23T09:53:29+07:00

Complaints of sleep disorders or insomnia are usually typified by trouble falling asleep and staying asleep, unwillingness to go back to sleep after waking, and sleep that is poor in quantity and quality. When sleep is of a high caliber, the body’s metabolism will be balanced, and vice versa. The state of the body will be affected if the sleep is of low quality, as well as affecting human emotions and the body's metabolic system. Several factors are considered to cause insomnia, including female gender, age, marital status, income, and education level. Due to the numerous variables that may considered as causes of insomnia, it is necessary to group categories in determining whether insomnia is categorized or not using a klastering technique, namely the K-Means Method. By using the K-Means method, it was found that based on the 452 data used, the result was that there were 204 data, or 45.13% belonging to the Insomnia klaster and 248 data or 54.87% belonging to the Not Insomnia klaster.

KLASIFIKASI TINGKAT KEPUASAN MAHASISWA TERHADAP FASILITAS KAMPUS MENGGUNAKAN METODE ID3

2024-03-02T21:48:46+07:00

This research explores the level of student satisfaction with campus facilities using the ID3 (Iterative Dichotomiser 3) method in forming decision trees. The main focus of this research is to identify factors that influence student satisfaction with various facilities on campus such as libraries, computer laboratories, classrooms, sports facilities, and campus facilities in general. Data from 500 students were obtained from questionnaires and used as a basis for forming a decision tree model. The model visualization provides a clear picture of the satisfaction level classification pattern. This research details the relationships between attributes and contributes to the understanding of factors that influence student decisions. The results of this research provide an in-depth understanding of the attributes that are most influential in predicting student satisfaction levels. The resulting decision tree reflects an informative classification pattern, providing a basis for improving the quality of campus facilities. Implementation of this model produces 100% accuracy in testing data, indicating the model's success in classifying student satisfaction levels. This research contributes to improving the student experience and supporting decision-making regarding campus facilities at higher education institutions.