Garuda - Garba Rujukan Digital

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

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

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

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

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

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

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

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.

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

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.

Data Menuju Pengetahuan dengan Pemanfaatan Data Science Puspitarani, Yan; Rumaisha, Fitrah; Zakaria, Ai Rosita; Violina, Sriyani; Zakiah, Azizah
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 6, No 1 (2023): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v6i1.4060

Pengolahan data merupakan hal yang sangat penting bagi institusi pencari laba maupun non laba. Melalui data, institusi mendapatkan pengetahuan yang akan mendukung pihak eksekutif dalam mengambil keputusan untuk strategi bisnisnya. Oleh karena itu, pengolahan data yang baik dapat memberikan dampak yang baik bagi institusi. Institusi bisa mendapatkan berbagai pengetahuan seperti segmentasi pelanggan dan pola pembelian pelanggan untuk kebutuhan marketing, bahkan prediksi kerusakan alat untuk keperluan maintenance dengan memanfaatkan pengolahan data. PT Delima Jaya Katiga membutuhkan pengolahan data untuk melakukan segmentasi dan pola penggunaan jasa pelanggan untuk menemukan potensi pelanggan baru guna menaikkan laba usaha. Oleh karena itu, kegiatan pengabdian ini akan memberikan informasi mengenai data science dan memberikan pelatihan pengolahan data sebagai solusinya.

Membangun Learning Management System di SDN 162 Warung Jambu sebagai Media Belajar di Era Digital berbasis Moodle Sulianta, Feri; Rumaisa, Fitrah; Puspitarani, Yan; Violina, Sriyani; Rosita, Ai
Abdimas Galuh Vol 7, No 2 (2025): September 2025
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v7i2.21000

Pada era digital, sekolah dituntut untuk meningkatkan kualitas pembelajaran sekaligus memperkuat visibilitas daring sebagai media komunikasi, informasi, dan sarana belajar. Namun, SDN 162 Warung Jambu, Kota Bandung, masih menghadapi kendala karena pembelajaran didominasi metode konvensional dan informasi sekolah belum terintegrasi secara online. Untuk menjawab permasalahan tersebut, kegiatan pengabdian ini mengembangkan platform Learning Management System berbasis Moodle versi 4.3 dengan metode Research and Development menggunakan model Waterfall. Proses pengembangan meliputi analisis kebutuhan, desain sistem, implementasi, pengujian menggunakan metode Black Box, serta pemeliharaan. Hasil pengembangan menghasilkan website e-learning dengan domain https://elearning.sdn162bandung.sch.id/ yang memfasilitasi pembelajaran daring, mulai dari akses materi, pengumpulan tugas, kuis, forum diskusi, hingga pemantauan nilai secara transparan. Pengujian menunjukkan bahwa seluruh fitur pada peran admin, guru, dan siswa berfungsi sesuai kebutuhan tanpa kendala signifikan. Implementasi platform ini meningkatkan efisiensi pembelajaran, memperluas akses informasi akademik, serta memperkuat citra digital sekolah. Dengan demikian, pengembangan e-learning berbasis Moodle terbukti menjadi solusi efektif untuk mendukung transformasi digital sekolah dasar sekaligus mendorong terciptanya ekosistem pendidikan yang modern, adaptif, dan transparan.

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