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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 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) Brilliance: Research of Artificial Intelligence Jurnal Inovasi Masyarakat Computing Jurnal Informatika International Journal of Multidisciplinary Sciences and Arts Jurnal Informatika Ekonomi Bisnis
Fitrah Rumaisa
Universitas Widyatama
Agriculture, Biological Sciences & Forestry Humanities 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 Nursing Social Sciences Transportation Other

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Pengaruh Literasi Keuangan, Manajemen Keuangan Dan Aplikasi Keuangan Terhadap Pengembangan Usaha UMKM Kota Bandung Yenny Maya Dora; Fitrah Rumaisa
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
Sentiment Analysis on Platform X (Twitter) Towards The 2024 General Election Using The Probabilistic Neural Network Algorithm Rumondor, Aaron; Rumaisa, Fitrah
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.830

Abstract

Sentiment analysis is the process of analyzing an opinion or public opinion regarding a phenomenon that has occurred, is currently occurring or will occur. Sentiments that are commonly discussed are the public's assessment of an object positively, negatively or neutrally. Twitter is the most popular media used to express all forms of public emotions and opinions in the form of tweets or text. The issues discussed in it include many events, such as the 2024 general election which will be held in Indonesia. This media is easily accessible to many people to show other people's opinions regarding existing phenomena. This research discusses the topic after the 2024 general election with opinions based on three sentiment classes, namely positive, neutral and negative. The aim of this research is to build a sentiment analysis system by applying the Probabilistic Neural Network algorithm as a classification model. The method used is data collection, cleaning, preprocessing, TF-IDF word weighting, labeling, classification models, and evaluation of results. The data used amounted to 2002 data with a division of 1035 positive tweets, 693 neutral tweets and 274 negative tweets. The program was built using Google Colaboratory and the Python programming language. Testing was carried out with 3 (three) comparisons, namely 90:10, 70:30, and 50:50. By comparing 90% training data and 10% testing data, the greatest model accuracy was obtained with a value of 88.42% and taking into account the evaluation using the confusion matrix and precision parameters of 89%, recall of 88%, and f1-score of 88%. Evaluation was also carried out for website-based applications on new data with an accuracy value of 66%.
Microservices Design and Development for the Basic Logistic Functionalities in the Unified Process Susanto, Benny; Rumaisa, Fitrah
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 1 (March 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (817.76 KB) | DOI: 10.37034/infeb.v5i1.185

Abstract

The software development process has gone through significant change in the recent years. Now delivering a system that merely satisfies functional requirements is no longer enough. Companies want their systems to be easily maintained, scalable, fault tolerant, available, integrated, and other attributes. The microservice architecture was designed to create such a robust system where a big monolith system is broken down into multiple small services that communicate each other to fulfill the requirements. One area of functional requirements that exist and needed in almost all kind of companies is the logistic part. This paper will discuss how microservices architecture can be designed and implemented to support logistic functionality that can be reused in a lot of companies as the base system.
DEVELOPING AN IT INFRASTRUCTURE MODEL FOR ENHANCING DIGITAL LITERACY THROUGH WEB-BASED LEARNING: A COMPREHENSIVE FRAMEWORK Sulianta, Feri; Rumaisa, Fitrah; Puspitarani, Yan; Violina, Sriyani; Rosita, Ai
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 3 (2024)
Publisher : 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.
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.
Course Learning Recommendation System Using Neural Collaborative Filtering Mulyana, Hadist Laroibafi; Rumaisa, Fitrah
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4699

Abstract

The proliferation of e-learning platforms has created a need for sophisticated course recommendation systems. This paper presents an innovative online course recommendation system using Neural Collaborative Filtering (NCF), a deep learning technique designed to surpass traditional methods in accuracy and personalization. Our system employs a hybrid NCF architecture, integrating matrix factorization with multi-layer perceptron to capture complex user-course interactions. The proposed NCF-based recommendation system aims to address key challenges in the e-learning domain, such as diverse user preferences, varying course content, and evolving learning patterns. By leveraging the power of neural networks, our approach seeks to provide more relevant and personalized course suggestions to learners. Our research contributes to the intersection of deep learning and educational technology, offering new insights into how advanced machine learning techniques can be applied to improve online learning experiences. The proposed system has the potential to enhance the quality of course recommendations, leading to more effective learning pathways for users. This work has important implications for e-learning platforms, educational institutions, and lifelong learners navigating the vast landscape of online courses. By improving the match between learners and courses, we aim to increase engagement, completion rates, and overall satisfaction in online education. Future work will explore the long-term impact of such personalized recommendations on learning outcomes and skill development.
Edukasi mengenai Mobile Hacking: Pengenalan dan Mitigasi Puspitarani, Yan; Rumaisa, Fitrah; Violina, Sriyani; Sulianta, Feri; Rosita, Ai
SEIKO : Journal of Management & Business Vol 6, No 2.1 (2023)
Publisher : Program Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/sejaman.v6i2.5890

Abstract

Data merupakan hal yang berharga dan bersifat pribadi bagi perseorangan maupun perusahaan. Akan tetapi, pencurian data seringkali dilakukan terhadap sistem keamanan data yang memiliki celah. Hacking ini sudah marak dilakukan oleh kalangan muda. Jika tidak diarahkan dengan baik, besar kemungkinan banyak generasi muda yang menjadi pelaku cyber crime. Selain itu, untuk melakukan investigasi terhadap cyber crime, diperlukan juga digital forensic terhadap perangkat. Oleh karena itu, kegiatan pengabdian ini, akan memberikan edukasi kepada para anak SMA sebagai generasi muda dengan harapan agar para generasi muda tidak menjadi korban atau pelaku. Kata Kunci: hacking; forensic; cyber crime.
Financial Risks in Supply Chain Management: Causes and Consequences Sinaga, Obsatar; Wahdiaman, Wahdiaman; Rumaisa, Fitrah; Zainudin, Zalina
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.2973

Abstract

The principal purpose of the current study is to explore the nexus between supply chain financial risk, supply chain operational performance and supply chain management. To achieve the objective of the current study we have proposed two direct and one indirect hypothesis. To achieve the objective of the current study, we have employed the structural equation modeling and used the statistical package of smart PLS-3. The data by mean of an adapted survey instrument in the form of questionnaire is collected from the operation and finance managers of manufacturing firms. The results of the current study are providing support to the hypothesized results as supply chain financial risk appear in significant relationship with firm supply performance. Meanwhile the supply chain operational risk is in significant relationship with supply chain management and also significantly moderate the relationship between supply chain financial risk and supply chain management. The current study which in author knowledge is among few pioneering studies on this issue, will be helpful for financial experts, operation managers, academicians, researchers and other policy makers in formulating policies.
Evaluation of Indonesian Language Stemmer Algorithms: A Comparative Analysis Rumaisa, Fitrah
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.
Exploring the Impact of Green Marketing, Brand Image, and Purchase Intent on Consumer Decisions for Bogasari Flour Products Muchsam, Yoki; Raspati, Galih; Yuningsih , Yuyun Yuniati; Rumaisa, Fitrah
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.
Co-Authors Ai Rosita Akhmad Rafi Oktavian Azizah Zakiah Benny Susanto Galih Raspati Iwan Rijayana Khoirunnisa, Fathimah Fadhilah Muchsam, Yoki Muhamad Hadziq Ilham Mulyana, Hadist Laroibafi Nurul Fiona Damayanti Obsatar Sinaga Rosita, Ai Rosmawati Rumondor, Aaron Sriyani Violina Sulianta, Feri Susanto, Benny Tanti Nurafianti Ulfah, Khaerani Vincentius Westley Dimitrius Thomas Wahdiaman, Wahdiaman Yan Puspitarani Yenny Maya Dora Yuningsih , Yuyun Yuniati Zainudin, Zalina