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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Adi Widya : Jurnal Pengabdian Masyarakat Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Pendidikan Edutama Transformasi : Jurnal Pendidikan Matematika dan Matematika Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika JINAV: Journal of Information and Visualization Jurnal Abdimas Komunikasi dan Bahasa Yudishtira Journal : Indonesian Journal of Finance and Strategy Inside Bussman Journal : Indonesian Journal of Business and Management Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Science and Technology: Jurnal Pengabdian Masyarakat
Rakhmawati, Desty
STMIK AMIKOM PURWOKERTO
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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K-Means Clustering Algorithm for Grouping Eligible Community Recipients of Government Assistance Helmy Muzaqqi, Farid; Rakhmawati, Desty; Wijaya, Anugerah Bagus
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7766

Abstract

The government assistance program is financial support provided to the community with the aim of helping to improve the quality of life and welfare of almost all provinces in Indonesia including Central Java Province, especially in Ajibarang District, Banyumas Regency. This program aims to overcome the gap between the upper middle economic community and the lower middle economic community. However, the implementation of aid so far has not been even and fair, so it has not achieved its goal of helping people who really need it. In the process of providing assistance, it is important to have a strong basic foundation in determination and decision making. The program must ensure that aid is provided to truly deserving communities. The problem is that aid programs often do not work as intended, and are not effective in addressing economic inequality. One way to resolve this issue is to review the recipient's previous data. This research uses data mining to extract data from people who deserve assistance or not by applying clustering methods. Clustering, which is the process of grouping data without a class target (unsupervised learning), was used in this study. The algorithm used in this research is K-Means clustering. The results showed that there were two clusters of K-Means algorithm application, with 6 people in cluster 1 and 4 people in cluster 2. This research was successful and had an impact on aid providers to conduct more thorough data collection not just choosing the community to be given assistance.
Analyzing the Sentiment of the 2024 Election Sirekap Application Using Naïvee Bayes Algorithm Muhammad, Isa Ali; Rakhmawati, Desty; Wijaya, Anugerah Bagus
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7773

Abstract

One of the most recent types of elections is the 2024 election, which includes the election of the president as well as legislative members. Along with the development of technology, an application called Sirekap emerged which is used to recapitulate the results of the vote. Although the app only has a one-star rating on the Play Store, reading all the user reviews to know the quality takes quite a while. Therefore, sentiment analysis can be an alternative to get an overview of user reviews so that it can help in making better decisions then, the method that will be used in conducting sentiment analysis in this study is the naïve Bayes algorithm. This research aims to identify and categorize user sentiment, as well as evaluate the quality of the app based on reviews provided on the Playstore. This research contributes by providing an efficient method to analyze user reviews of the Sirekap app, which can assist app developers and other stakeholders in making better decisions regarding app development and improvement. In addition, the results of this study confirm that the app's one-star rating is accurate, with evaluation metrics such as precision, memory, and f1 score reaching 1.00 each.
Application of Data Mining in FP Growth Algorithm to Determine Customer Purchasing Patterns of Geprek Chicken Yulianti, Puji; Oktaviana, Luzi Dwi; Rakhmawati, Desty
JINAV: Journal of Information and Visualization Vol. 5 No. 1 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav2793

Abstract

The FP-Growth data mining algorithm used in the study to determine customer shopping patterns at Ayam Geprek Purwokerto shop. Focusing on identifying repeat purchase events, this research aims to improve the marketing strategy and operational efficiency of Ayam Geprek Purwokerto shop. With an in-depth understanding of customer preferences and shopping habits, this research provides valuable insights for business owners in customizing menu offerings and layouts that can significantly increase sales. The results of this purchase analysis provide an in-depth understanding of consumer preferences and help determine the right course of action to improve Ayam Geprek Purwokerto's business. This study shows that using the FP-Growth algorithm to analyze customer buying patterns can significantly improve the efficiency and effectiveness of Ayam Geprek Purwokerto. By understanding common buying patterns, business owners can increase inventory design more effective promotion strategies, and improve customer satisfaction. The research shows that this can be a useful guide for business owners to create more targeted and effective marketing strategies to increase business. Thus, this research significantly increases the understanding of consumer shopping habits in the food industry, especially in the Ayam Geprek Purokerto shop.The results of this study are expected to be the basis for developing smarter and more effective marketing strategies to improve the competitiveness of food companies. In addition, this research encourages further use of data mining in optimizing inventory management and marketing strategies for the food industry.
Penerapan Teknologi Digital Berbasis Video Animasi 2D pada Siswa SDN 02 Pancurendang Rakhmawati, Desty; Halwa , Arnika
Science and Technology: Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2025): Juni
Publisher : CV. Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/scitec.v2i2.375

Abstract

Kegiatan pengabdian kepada masyarakat ini dilaksanakan dengan tujuan untuk meningkatkan kemampuan membaca siswa kelas 1 di SD Negeri 02 Pancurendang melalui pemanfaatan teknologi digital, khususnya media pembelajaran berupa video animasi 2D. Penggunaan media ini diharapkan mampu menciptakan suasana belajar yang lebih menarik, interaktif, dan menyenangkan bagi siswa sekolah dasar. Adapun metode yang digunakan dalam kegiatan ini mencakup beberapa tahap, yaitu observasi awal terhadap kondisi pembelajaran membaca di kelas, wawancara dengan guru kelas, pelaksanaan sosialisasi penggunaan media video animasi 2D, serta evaluasi melalui pengukuran hasil belajar siswa sebelum dan sesudah penggunaan media. Hasil pretest menunjukkan nilai rata-rata kemampuan membaca sebesar 83,33, sedangkan nilai rata-rata posttest meningkat menjadi 90,33. Ini menunjukkan adanya kenaikan sebesar 8,4%, yang mengindikasikan bahwa media video animasi 2D terbukti efektif dalam meningkatkan pemahaman siswa terhadap materi membaca. Dengan hasil tersebut, diharapkan teknologi ini dapat terus diterapkan secara berkelanjutan dan menjadi inovasi pembelajaran yang mendukung proses belajar mengajar di sekolah dasar, khususnya dalam pengembangan literasi siswa sejak dini.
ANALISIS PREDIKSI HARGA SAHAM MICROSOFT CORPORATION SELAMA MASA KETIDAKSTABILAN EKONOMI GLOBAL Rakhmawati, Desty
Yudishtira Journal : Indonesian Journal of Finance and Strategy Inside Vol. 5 No. 2 (2025): Yudishtira Journal : Indonesian Journal of Finance and Strategy Inside
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/yud.v5i2.134

Abstract

Global economic instability, influenced by geopolitical turmoil, high inflation, and financial market pressures. This uncertainty can affect global stock price fluctuations, including MSFT shares. This study aims to analyze and predict MSFT's share price during periods of global economic instability using the ARRIMA time series approach. The data used for the analysis was 753 daily historical data on the closing price of MSFT shares. Based on the results of the stationary test using ADF, the data is non-stationary at the level, and becomes stationary after differentiating once. The best model for data was obtained from the ARIMA model (0,1,0) and obtained an AIC value of 4633,602, an RMSE of 11.20, showing quite good prediction results. The prediction results show that the MSFT share price prediction is close to USD 419 to USD 420. The results of this prediction can be used as a reference in understanding the movement of MSFT shares for investors during periods of global uncertainty.
Development of UI/UX Application of Javanese Script Using User Centered Design in Elementary School Wibowo, Adlan; Rakhmawati, Desty; Ikhsan, Ali Nur
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 2 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i2.39247

Abstract

Indonesia is a country with an area of 1.9 million km², rich in diversity, including various languages in each region. This linguistic diversity gives each region its unique characteristics. However, in the 21st century, there is a noticeable decline in the use of regional languages, particularly in polite speech. This decline is attributed to the influence of Western culture, which has permeated Indonesia through technological advancements and television broadcasts showcasing urban and foreign cultures. The Javanese language, known for its unique *unggah-ungguh* (levels of politeness) and distinctive script, is one of the cultures at risk. The rapid development of technology, especially in education, necessitates its optimal utilization while preserving ancestral heritage such as the Javanese language. This study focuses on designing an optimal User Interface (UI) and User Experience (UX) for a Javanese language learning application on Android devices. The application includes features such as wulangan (lessons), pitakonan (questions), and tembang (traditional songs), with a focus on the User-Centered Design (UCD) approach. The research object is MI Nurul Islam, an elementary school in Brebes Regency. After the UI/UX design was successfully created, the System Usability Scale (SUS) was used to evaluate its effectiveness. The design received an average SUS score of 77.5, indicating that it is well-suited for further application development. The findings suggest that the designed application can significantly aid in preserving and promoting the use of the Javanese language among early childhood learners, addressing the decline caused by external cultural influences.
Front-End Development of Amikom Purwokerto University Finance Website Using Bootstrap Huberta, Bima; Rakhmawati, Desty; Wijaya, Anugerah Bagus
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i3.40658

Abstract

At Universitas Amikom Purwokerto, the Institute for Research and Community Service (LPPM) faces significant challenges in financial data processing. Currently, financial data is managed using Microsoft Excel, and there is no system in place to properly manage and store this data. This lack of an efficient system hinders effective financial management and data handling. To address these issues, the proposed solution is to develop a website for financial management that supports the tri dharma of higher education. Effective web application development necessitates adherence to standard front-end framework models. Therefore, this study focuses on creating a front-end for the LPPM financial website using Bootstrap, following the waterfall method due to its sequential, structured, and reliable properties. The result of this study is a website-based LPPM financial application front-end. Based on test results, the front-end of this website achieved an SUS (System Usability Scale) score of 80.5, which falls into grade B. This indicates that the application is expected to facilitate the process of managing financial data and enhance user interaction with the system, effectively resolving the identified issues. This research was successful because it had created a front-end system in accordance with the needs that had been complained about by the university.
The Influence of Study Time and Calculus Course Lecturers on Student Learning Outcomes Fajarwati, Septi; Rakhmawati, Desty
Jurnal Pendidikan Edutama Vol 12 No 1 (2025): January 2025
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30734/jpe.v12i1.5020

Abstract

This study aims to analyze the influence of study time and lecturer competence on the learning outcomes of Informatics students at Universitas Amikom Purwokerto. The method used in this research is quantitative with a survey approach and statistical analysis. The sample consisted of 64 students who had completed the Calculus course in the 2022/2023 academic year. Data were collected from the students' final grades and analyzed using multiple linear regression tests. The analysis results indicated no significant influence between study time (morning and afternoon) and lecturer competence on student learning outcomes, both simultaneously and individually. The F-test and t-test results demonstrated that both independent variables were insignificant in influencing student learning outcomes. Therefore, it can be concluded that study time and lecturer competence statistically do not significantly contribute to students' academic achievement in the Calculus course. This research suggests that other factors, such as teaching methods and student motivation, may play a more crucial role in determining academic success.
Co-Authors Halwa , Arnika Helmy Muzaqqi, Farid Hendra Marcos Huberta, Bima Ikhsan, Ali Nur Lestari, Rokhanah Puji Lestari Muhammad Nurhalim, Muhammad Muhammad, Isa Ali Oktaviana, Luzi Dwi Ratna Febrianti , Diah Rezkyanto , Husen Septi Fajarwati Setyaningrum, Nur Anisa Tri Astuti Wibowo, Adlan Wijaya, Anugerah Bagus Yulianti, Puji