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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Seminar Nasional Informatika (SEMNASIF) JURNAL MEDIA INFORMATIKA BUDIDARMA SEIKO : Journal of Management & Business Jiko (Jurnal Informatika dan komputer) International Journal of Supply Chain Management Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming EconBank : Journal Economics and Banking Jurnal Ilmiah Edunomika (JIE) Jurnal Informatika Ekonomi Bisnis JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Darma Agung Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Masyarakat Indonesia Brilliance: Research of Artificial Intelligence Jurnal Inovasi Masyarakat Computing Jurnal Informatika International Journal of Multidisciplinary Sciences and Arts Jurnal Informatika Ekonomi Bisnis "Journal of Data Science
Fitrah Rumaisa
Universitas Widyatama, Bandung
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Implementation of Kanban Method in Transactional System Design in the “Mr. Sneakers” Shoe Laundry Business Puspitarani, Yan; Violina, Sriyani; Rumaisa, Fitrah; Sulianta, Feri
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.3859

Abstract

Laundry information system design using Kanban method is a strategic step to improve operational efficiency and responsiveness to customer needs in the laundry business. The study aims to design an information system that is integrated with the Kanban method to optimize the transaction process from receiving orders to returning to customers. The study outlines the process of designing a laundry information system using Kanban principles, including workflow mapping, suitable Kanban board design and integration with existing information systems. The results of this information system design show that the application of Kanban can provide a clear visualization of the workflow in the process, improve operational efficiency by speeding up the order cycle time, reducing waiting times, and minimizing errors in the transactions process. Good integration between the information system and the Kanban board allows managers to monitor order status in real time and respond quickly to changing customer requests. In conclusion, designing a laundry information system using the Kanban method can improve business performance, strengthen customer relationships, and create significant added value.
Pengaruh Literasi Keuangan, Manajemen Keuangan Dan Aplikasi Keuangan Terhadap Pengembangan Usaha UMKM Kota Bandung Dora, Yenny Maya; Rumaisa, Fitrah
EconBank: Journal of Economics and Banking Vol 6 No 1 (2024): Econbank
Publisher : Sekolah Tinggi Ilmu Ekonomi Bank BPD Jateng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35829/econbank.v6i1.390

Abstract

Running a business requires a true understanding of finance and financial management. This is becausethe business capital used must really be used as optimally as possible for the success of the businessbeing run. Apart from that, in the current era of advances in information technology, financialmanagement requires financial application support that can assist in business financial activities. Sothis research was carried out with the aim of finding out the influence of financial literacy, financialmanagement and financial applications on the development of MSME businesses. This research methodis descriptive quantitative. Data was obtained by distributing questionnaires to 100 MSMEs in BandungCity. The data obtained was processed and analyzed using SPSS 25. The results of the research partiallyshow that the influence of financial literacy has an influence on business development, followed byfinancial management and financial applications. And together, financial literacy, financialmanagement and financial applications have an influence on the business development of MSMEplayers. Therefore, it is necessary to increase understanding of financial literacy, financial managementand the use of financial applications for Bandung City MSMEs so that the businesses they run cancontinue to grow. This can be done through collaboration between the Bandung City Chamber ofCommerce and Industry and academics for training and mentoring
PENGEMBANGAN UMKM LAUNDRY SEPATU MELALUI DIGITALISASI TRANSAKSI Rumaisa, Fitrah; Puspitarani, Yan; Violina, Sriyani; Sulianta, Feri
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 1 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i1.12492

Abstract

Computers have become an inseparable part of society's activities, especially in the need to support business processes, so the need for computerized systems has a very essential role in carrying out business processes. However, quite a few still use manual systems in carrying out business activities. As a result, obstacles arise as the business continues to grow due to increasingly large and complex needs. One of them is also experienced in the shoe laundry business which requires complex handling considering the large number of services as the number of consumers increases. In order to meet the needs of existing business processes, a computer-based transactional system is needed to support existing business processes, so that business efficiency and effectiveness can be realized. Further training is also needed due to the transition from manual systems to computer-based systems so that workers can adapt to using computerized systems. precisely on target.
DEVELOPING AN IT INFRASTRUCTURE MODEL FOR ENHANCING DIGITAL LITERACY THROUGH WEB-BASED LEARNING: A COMPREHENSIVE FRAMEWORK Feri Sulianta; Fitrah Rumaisa; Yan Puspitarani; Sriyani Violina; Ai Rosita
JIKO (Jurnal Informatika dan Komputer) Vol 7 No 3 (2024)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i3.8761

Abstract

In today's rapidly evolving educational landscape, there is a growing need to develop an IT infrastructure model that can effectively support web-based learning environments to enhance digital literacy. The proposed model offers a comprehensive framework for educational institutions to integrate digital technologies into their curricula seamlessly. Key elements of the model include essential hardware, user-friendly software, and advanced security measures, each playing a vital role in creating a seamless, secure, and efficient digital learning experience. This study explores the dynamic interactions among these components and their collective influence on fostering a conducive and productive web-based learning environment. By addressing the need for reliable infrastructure, scalable solutions, and robust security protocols, the model provides a holistic approach to improving digital literacy in educational contexts. The research underscores the critical role of a well-structured IT infrastructure in supporting digital education, offering actionable insights and recommendations for implementation. Moreover, it emphasizes that a well-developed IT infrastructure is foundational for the long-term success of web-based learning programs, enabling institutions to meet diverse learner needs, adapt to technological advances, and ensure sustainability in the digital education landscape.
Rancang Bangun Website Edukatif di Sekolah SDN 162 Warung Jambu Kiaracondong berbasis Laravel Feri Sulianta; Fitrah Rumaisa; Yan Puspitarani; Sriyani Violina; Ai Rosita
Jurnal Pengabdian Masyarakat Indonesia Vol 5 No 4 (2025): JPMI - Agustus 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.3623

Abstract

Dalam era digital, sistem informasi berbasis web menjadi kebutuhan mendesak bagi institusi pendidikan untuk meningkatkan pendistribusikan informasi akademik, dan keterlibatan pendidik, peserta didik serta orang tua siswa. SDN 162 Warung Jambu Kiaracondong menghadapi kendala dalam peningkatan visibilitas dan pendistribusian informasi sekolah yang masih dilakukan secara manual. Oleh karena itu, dilakukan perancang dan pengembangkan situs web sekolah berbasis Laravel menggunakan metode Waterfall sebagai aspek dari digitalisasi pendidikan. Proses pengembangan mencakup analisis kebutuhan, desain, implementasi, pengujian Black Box, serta evaluasi menggunakan alat ukur kualitatif dan deskriptif. Perancangan Antar muka menggunakan metode Design Thinking yang mengakomodasi aspek Interface dan User Experience.  Hasil menunjukkan bahwa situs web ini mampu meningkatkan efisiensi yaitu: mempercepat akses informasi sekolah, serta memperkuat interaksi antara siswa, guru, dan orang tua. Pengujian sistem membuktikan bahwa seluruh fitur berfungsi sesuai dengan spesifikasi yang ditetapkan. Implementasi situs web sekolah ini menjadi solusi yang efektif dalam mendukung digitalisasi pendidikan dan meningkatkan distribusi informasi akademik bagi seluruh pemangku kepentingan di kalangan eduskatif SDN 162 Warung Jambu Kiaracondong.
Phonological Features in Indonesian Social Media Marketing Texts: A Natural Language Processing Approach Fitrah Rumaisa; Zakiah Darajat; Yan Puspitarani
Journal Of Data Science Vol. 4 No. 01 (2026): Journal Of Data Science, 2026
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The expansion of social media platforms has significantly reshaped marketing communication strategies, particularly in countries with highly active digital audiences such as Indonesia. Among these platforms, TikTok has become a dominant channel for promotional messaging, where short textual captions play a crucial role in attracting user attention. Within this context, the phonological structure of language may influence how promotional messages are perceived, remembered, and shared. This study investigates the phonological characteristics of Indonesian marketing captions on social media using a Natural Language Processing (NLP) framework. A dataset consisting of user-generated promotional captions from TikTok was collected and processed through several stages, including text normalization, tokenization, and noise removal. The cleaned text was then transformed into phoneme sequences using a hybrid grapheme-to-phoneme (G2P) conversion approach. From these phoneme representations, several phonological features were extracted, including vowel–consonant ratios, syllable length distribution, phoneme entropy, and phonotactic surprisal. The analysis reveals several recurring sound patterns in Indonesian promotional language. In particular, captions tend to favor open syllable structures, vowel-rich word formations, and repetitive phoneme sequences that contribute to rhythmic flow and memorability. Words containing dominant vowels such as /a/ and /i/ appear frequently in marketing expressions, suggesting that phonological aesthetics may play a role in shaping audience engagement. Overall, the findings suggest that phonological structure is not merely a linguistic artifact but may also function as a subtle persuasive mechanism in digital marketing discourse. By combining computational phonology with marketing analysis, this study offers new insights into how sound patterns embedded in written promotional texts can influence communication effectiveness in the Indonesian social media landscape.
Exploring the Impact of Green Marketing, Brand Image, and Purchase Intent on Consumer Decisions for Bogasari Flour Products Yoki Muchsam; Galih Raspati; Yuyun Yuniati Yuningsih; Fitrah Rumaisa
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 1 (2025): International Journal of Multidisciplinary Sciences and Arts, Article January 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i1.5808

Abstract

This research addresses the decline in consumer purchasing decisions for PT Indofood Sukses Makmur Tbk. and Bogasari Flour Mills, emphasizing the growing importance of green marketing in shaping consumer preferences for environmentally friendly products. The study aims to evaluate the influence of green marketing, brand image, and purchase intention on consumer purchasing decisions. Employing a descriptive associative method, the research utilizes a questionnaire distributed to 300 respondents selected through purposive sampling. Data analysis is conducted using SPSS 24, focusing on validity, reliability, correlation analysis, coefficient of determination, and multiple regression. The findings reveal a positive and significant impact of green marketing, brand image, and purchase intention on the sales of Bogasari flour by PT Indofood Sukses Makmur Tbk., indicating that these factors are crucial in influencing consumer purchasing decisions. The results suggest that companies should prioritize green marketing strategies and enhance their brand image to align with consumer preferences, ultimately improving sales performance in a competitive market. In conclusion, integrating green marketing, brand image, and purchase intention into sales strategies is essential for effectively influencing consumer purchasing decisions, enabling companies like PT Indofood Sukses Makmur Tbk. to navigate market challenges and seize growth opportunities.
Evaluation of Indonesian Language Stemmer Algorithms: A Comparative Analysis Fitrah Rumaisa
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5679

Abstract

Indonesian is a language with a large number of speakers and diverse vocabulary. One of the main challenges of Indonesian language processing is the presence of agglutinative morphology. This complexity makes it challenging for traditional stemming algorithms developed for European languages to accurately handle Indonesian words. This review focuses on several prominent Indonesian text processing algorithms that have been developed specifically for Indonesian, highlighting the contributions made by Nazief and Adriani, Asian, Arifin and Setiono, and the Enhanced Confix Stripping (ECS) stemmer. By examining these algorithms, we can better understand their methodologies, efficacy, and applications. The results of the study revealed that the ECS stemmer outperformed the other algorithms in terms of accuracy and efficiency. The ECS algorithm was able to strip affixes more effectively and accurately identify the root form of words, leading to improved text analysis and information retrieval. As linguistic technology continues to evolve, ongoing research into these methods will be crucial for advancing our ability to process Indonesian texts accurately and effectively.
Analysis of the Impact of the Pre-Employment Card Program and Clustering of Unemployment Rates in West Java Using Spectral Clustering Fathimah Fadhilah Khoirunnisa; Fitrah Rumaisa
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5917

Abstract

The Pre-Employment Card Program is an initiative launched by the Indonesian government to enhance workforce skills and reduce unemployment. In West Java Province, where population density and socio-economic diversity are high, assessing the effectiveness of this program is particularly relevant. This study aims to cluster regions in West Java based on participation in the Pre-Employment Card Program and unemployment rates using the spectral clustering method, as well as to analyze the program’s impact on regional unemployment levels.The dataset consists of variables such as unemployment rate, labor force size, education level, and program participation, obtained from the Central Bureau of Statistics (BPS) and the official Pre-Employment Program website (2020–2024). The clustering results identified two primary groups: regions with high unemployment and low participation, and those with low unemployment and high participation. The clustering structure achieved a Silhouette Score of 0.2808, indicating a reasonably good cluster separation. Correlation analysis revealed a weak positive relationship between program participation and unemployment reduction (r = 0.34), with the strongest correlation observed among senior high school and vocational school graduates. Regions with high participation experienced a decrease in the average unemployment rate from 10.39% to 8.36%, while those with low participation saw a decline from 9.16% to 7.21%. These findings suggest that the Pre-Employment Card Program holds potential in contributing to unemployment reduction in West Java. Nonetheless, further policy support is required, taking into account factors such as educational background, access to training, and local socio-economic dynamics to optimize the program’s impact.
Application of the Mean-Shift Method in Grouping the Influence of Labor Market Information on Labor Absorption in West Java Province Khaerani Ulfah; Fitrah Rumaisa
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5920

Abstract

The imbalance between the number of job seekers and the availability of jobs is a challenge in the labor market in West Java Province. This study aims to group districts/cities based on the influence of labor market information on labor absorption using the Mean-Shift algorithm. Data were obtained from BPS for the 2019–2023 period, covering the number of job seekers, vacancies, and job placements. Data were processed through cleaning, transformation, normalization, and aggregation of a five-year average. Clustering was carried out using the Mean-Shift algorithm with an optimal bandwidth of 0.474611, resulting in two clusters with a Silhouette Score of 0.4943. The first cluster consists of areas with low labor absorption rates, characterized by the number of job seekers that are not comparable to vacancies and job placements. The second cluster includes areas with higher and more balanced labor absorption. The results of the study show that the Mean-Shift algorithm is able to group regions based on labor market characteristics. These findings suggest that labor market information can be used to map regions based on labor absorption rates in a more targeted manner, as well as support the formulation of data-based employment policies.
Co-Authors Ai Rosita Ai Rosita Ai Rosita Akhmad Rafi Oktavian Azizah Zakiah Benny Susanto Dora, Yenny Maya Fathimah Fadhilah Khoirunnisa Feri Sulianta Galih Raspati Iwan Rijayana Khaerani Ulfah Muchsam, Yoki Muhamad Hadziq Ilham Mulyana, Hadist Laroibafi Nurul Fiona Damayanti Obsatar Sinaga Rosita, Ai Rosmawati Rumondor, Aaron Sriyani Violina Susanto, Benny Tanti Nurafianti Viddi Mardiansyah Vincentius Westley Dimitrius Thomas Wahdiaman, Wahdiaman Yan Puspitarani Yuyun Yuniati Yuningsih Zainudin, Zalina Zakiah Darajat