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Perancangan Sistem Prediksi Keuangan Menggunakan Moving Average Dan Prototype Method
Full text linkThe significant development of the construction sector in Indonesia requires sophisticated and accurate financial management systems. This research aims to design a web-based financial prediction system for PT. Las Duco Jaya using Moving Average algorithm and Prototype method. The research background is the urgent need for digital transformation in financial management, particularly in construction companies still using conventional recording methods. The research methodology employs a quantitative approach with stages of literature study, field observation, and web-based prototype system development using PHP Laravel and MySQL. The Simple Moving Average (SMA) algorithm is implemented to perform quarterly financial predictions by calculating historical averages. Research results demonstrate the system's ability to generate financial predictions with an accuracy rate of 85-92%, featuring multi-level user authentication, predictive analytics modules, and comprehensive reporting mechanisms. Blackbox testing validated the entire system's functionality, proving its reliability and effectiveness in supporting digital financial management. The research concludes that this financial prediction system is more than just a recording tool; it is a strategic partner empowering organizations to understand and control financial dynamics with high precision. The study suggests continuous development, improvement of prediction algorithms, and integration of cutting-edge technologies to optimize system performance in the futur
Analisis User Experience Pada Website Pendaftaran Santri Pondok Pesantren Salafiyyah Al-Hidayah Kudus Menggunakan Metode Heuristic Evaluation
Full text linkPenelitian ini menganalisis User Experience pada website pendaftaran santri Pondok Pesantren Salafiyyah Al-Hidayah Kudus menggunakan metode Heuristic Evaluation. Evaluasi ini penting dilakukan untuk memastikan website yang dikembangkan dapat memenuhi kebutuhan pengguna secara optimal dalam proses pendaftaran santri baru yang sebelumnya dilakukan secara manual. Penelitian menggunakan pendekatan kuantitatif dengan menyebarkan kuesioner kepada 20 responden yang pernah menggunakan website tersebut. Kuesioner dirancang berdasarkan 10 prinsip Heuristic Evaluation yang dikembangkan oleh Jakob Nielsen. Hasil analisis menunjukkan bahwa seluruh aspek yang dievaluasi berada pada tingkat Severity Rating 1 (Cosmetic Problem), yang mengindikasikan adanya masalah-masalah kecil yang tidak terlalu mengganggu kenyamanan pengguna. Aspek Aesthetic and Minimalist Design (1.275) dan Consistency and Standards (1.225) memerlukan perhatian lebih dalam perbaikan, sementara aspek Visibility of System Status (0.95) menunjukkan performa terbaik. Hasil evaluasi ini dapat menjadi dasar untuk pengembangan dan perbaikan website guna meningkatkan kualitas pengalaman pengguna dalam proses pendaftaran santri
Analisis Kualitas Pelayanan dalam Meningkatkan Kepercayaan Pelanggan pada Pembelian CV Donat Madu Cihanjuang
Full text linkPelayanan bertujuan untuk meningkatkan kepuasan konsumen, menumbuhkan loyalitas, dan memberikan efek baik bagi perkembangan bisnis secara keseluruhan. Kendala dalam pelayanan pelanggan yang muncul berpengaruh signifikan terhadap kepuasan konsumen serta efisiensi operasional. Penelitian ini dilakukan untuk menganalisis kualitas pelayanan dalam meningkatkan kepercayaan pelanggan pada pembelian produk CV. Donat Madu Cihanjuang yang terletak di Jl. Raya Ciapus Muara, Bogor Selatan, Bogor. Metode penelitian yang dipergunakan yaitu metode kualitatif yang dilakukan dengan mengumpulkan data lewat survei langsung ke tempat tersebut, serta melaksanakan wawancara untuk memperoleh penilaian mengenai kualitas layanan yang diberikan demi mencapai kepuasan. Data yang diperoleh meliputi data primer dan sekunder. Data primer didapatkan melalui observasi dan wawancara langsung, sedangkan data sekunder bersumber dari jurnal atau literatur yang berkaitan dengan penelitian. Penelitian ini menghasilkan data baru yang menunjukkan bahwa mutu layanan berpengaruh positif dalam meningkatkan kepercayaan pelanggan saat membeli donat madu Cihanjuang. Standar pelayanan ini juga bisa memberikan efek positif pada kesetiaan dan kepercayaan pelanggan terhadap pembelian produk donat madu Cihanjuan
Analisis Dampak Ulasan Konsumen Terhadap Keputusan Pembelian di CW Coffee Kota Pontianak
Full text linkThis study aims to analyze the factors influencing consumer purchasing power at CW Coffee, Pontianak City. The method used is a quantitative approach through a survey of 100 respondents who are customers of CW Coffee. The factors examined include product quality, price, customer experience, consumer reviews, and customer service. The collected data were analyzed using multiple regression analysis to determine the influence of each factor on purchasing decisions. The results show that product quality and customer experience have a significant impact on consumer purchasing power, while price and consumer reviews have a moderate effect. In addition, customer service plays an important role in enhancing customer satisfaction and loyalty, which in turn can drive positive purchasing decisions. These findings provide insights for CW Coffee management on the importance of improving product quality and customer experience to attract more consumers
Business Process Analysis in the Financial System of PT. Oti Eya Abadi With Business Process Modelling and Notation (BPMN) Method
Full text linkEvery company certainly needs an information system for ease of work management in a company organization. As in the problems faced by the company PT. Oti Eya Abadi who needs an information system that can create and print company cash as efficiently as possible so that leaders and employees who manage the company's financial cash do not make manual formats in excel anymore and obtain cash data formats automatically from the information system. In order to achieve a sequential but still efficient system flow in the use of information systems, an analysis is made related to the business process flow of the information system with a description in the form of Business Process Modelling and Notation (BPMN). By describing BPMN, the creation of an information system can be made more directed in each access feature so that when the information system is completed it can be used with access that is easier for users to understand and more efficient in using an information system, including the financial information system of PT. Oti Eya Abadi
Implementation of the K-Nearest Neighbor Algorithm for Classifying Immigration Residence Permit Applicants at the Class I Special Immigration Office TPI Soekarno-Hatta
Full text linkThis study aims to apply the K-Nearest Neighbor (KNN) algorithm in classifying immigration residence permit applicants at the Class I Special Immigration Office TPI Soekarno-Hatta, focusing on the algorithm's effectiveness and accuracy in categorizing residence permit applicants based on the types of residence permits: Visit Stay Permit (ITK), Limited Stay Permit (ITAS), and Permanent Stay Permit (ITAP). This study employs a quantitative, experiment-based approach utilizing a dataset of 17,212 residence permit applicant records consisting of 11 key attributes, such as nationality, visa type, residence permit type, gender, and age group.The research process began with data preprocessing stages, including data cleaning, normalization, and dataset splitting into training and testing sets with 80:20 and 70:30 partitioning scenarios. The KNN algorithm was implemented using a parameter of k=5k = 5k=5, chosen based on experimentation to achieve optimal performance. The model's performance evaluation was conducted using accuracy, precision, and recall metrics derived from a confusion matrix. The findings reveal that the KNN algorithm successfully classifies data with the highest accuracy of 96.95% in the 80:20 dataset partition scenario and 96.84% in the 70:30 scenario. The Visit Stay Permit (ITK) class demonstrated the best performance with a precision of 97.46% and a recall of 99.97%, whereas the Permanent Stay Permit (ITAP) class showed the lowest performance with a recall of 59.79%, indicating challenges in recognizing patterns for this class. This study also identifies the advantages of the KNN algorithm, including its simplicity of implementation, flexibility in handling multiclass data, and effectiveness for low-dimensional datasets. However, the algorithm has limitations, such as sensitivity to imbalanced data distributions and high computational time for large datasets
Logistic Regression and TF-IDF Models for Early Detection of Indonesian-Language Fake News: Model Regresi Logistik dan TF-IDF untuk Deteksi Dini Berita Palsu Berbahasa Indonesia
No full text The spread of false information, particularly on social media platforms, has become a significant challenge due to the rapid flow of digital content. Most existing fake news detection systems are primarily designed for the English language, making them less effective when applied to Indonesian contexts. This study proposes a web-based hoax detection system that combines the Term Frequency-Inverse Document Frequency (TF-IDF) method with the Logistic Regression classification algorithm. The dataset, consisting of both real and fake news articles, was obtained from Kaggle and processed through several stages including normalization, stopword removal, and stemming. The TF-IDF vectorization results were then used to train a binary classification model. The system allows for user input either in the form of raw text or a URL, and delivers real-time classification results. Evaluation of the system indicates a high level of accuracy and strong potential in improving public digital literacy. These findings demonstrate a lightweight yet effective approach to mitigating the spread of hoaxes in the Indonesian language
An ESP32-Based IoT System for Blind Spot Detection in Logistics Vehicles: Sistem IoT Berbasis ESP32 untuk Deteksi Titik Buta pada Kendaraan Logistik
No full textThe increasing number of vehicles in the logistics industry has led to a higher risk of accidents due to vehicle blind spots. PT. Aerofood ACS requires a real-time, cost-effective, and easily deployable monitoring system to enhance the safety and operational efficiency of their EBRO trucks. To address this need, this research develops an Internet of Things (IoT)-based blind spot monitoring system using ESP32. The device design methodology includes a prototyping approach and data collection through observation, interviews with stakeholders, and literature studies in system development. This system utilizes HC-SR04 ultrasonic sensors to detect objects in blind spot areas, where the obtained data is processed by ESP32 and displayed on an LCD. Additionally, information is transmitted to the cloud for real-time monitoring. The primary objective of this study is to design and implement a monitoring system capable of providing early warnings to drivers to reduce accident risks. Alerts are provided through LED indicators, buzzers, and IoT notifications, ensuring that drivers can promptly respond to potential hazards. The research findings indicate that the developed system can accurately detect blind spots and effectively issue warnings. Thus, this system serves as an innovative solution that can be implemented for various logistics needs in compliance with PT. Aerofood ACS's safety standards. 
E-Learning Responsif Berbasis Laravel untuk Mendukung Pembelajaran Daring di SMP Negeri 1 Kudus
Full text linkThe advancement of information technology has driven educational institutions to adapt, particularly in implementing responsive and integrated online learning. This study aims to design and develop a Laravel-based e-learning system at SMP Negeri 1 Kudus to support digital teaching and learning processes. The system was designed using the Waterfall software development method, which includes requirement analysis, system design, implementation, testing, and maintenance. This system provides key features such as user management, learning material management, assignments, exams, and grade reports, accessible via both desktop and mobile devices. During development, web technologies such as HTML, CSS, JavaScript, and the MySQL database were utilized. Testing results showed that the application operated according to specifications and positively impacted the effectiveness of online learning, particularly in enhancing interactions between teachers and students. Additionally, the system is responsive and supports cross-device accessibility, facilitating students and teachers in various situations. This research is expected to offer an innovative solution to overcome the limitations of conventional learning, support digital transformation in education, and provide a more interactive and adaptive learning experience in line with technological advancements
Pengaruh Content Digital Marketing, Brand Image, Kualitas Pelayanan Terhadap Keputusan Memilih PT. Hanosen Pratama (HSP Academy)
Full text linkPenelitian ini bertujuan untuk mengetahui pengaruh content digital marketing, brand image, dan kualitas pelayanan terhadap keputusan memilih PT Hanosen Pratama (HSP Academy). teknik analisis data yang digunakan adalah metode kuantitatif untuk menguji dan membuktikan hipotesis yang telah dibuat melalui berbagai tes dan pengolahan data. Populasi pada penelitian ini adalah para peserta yang mengikuti pelatihan di PT HSP Academy. Sampel yang digunakan adalah para peserta yang pernah mengikuti pelatihan di PT HSP Academy, dengan menggunakan metode purposive sampling berdasarkan pertimbangan dan kriteria tertentu. penelitian ini menggunakan kuesioner yang disebarkan kepada para peserta pelatihan pt hsp academy sebagai objek penelitian, dengan jumlah sampel sebanyak 100 responden. Seberapa besar pengaruh content digital marketing, brand image, dan kualitas pelayanan terhadap keputusan memilih PT Hanosen Pratama (HSP Academy). Teknik analisis data yang digunakan adalah partial least square (pls) dan diolah menggunakan software smartpls 4. Hasil analisis menunjukkan bahwa content digital marketing tidak memiliki pengaruh yang signifikan terhadap variabel keputusan memilih (p > 0.05). Brand image juga tidak memiliki pengaruh yang signifikan terhadap variabel keputusan memilih (p > 0.05). sedangkan pada variabel kualitas pelayanan memiliki pengaruh yang signifikan terhadap variabel keputusan memilih (p < 0.05). Implikasi dari penelitian ini adalah pentingnya perusahaan untuk mengimplementasikan strategi konten digital yang efektif, menghasilkan konten yang berkualitas, dan konsisten sesuai kebutuhan para konsumen. selain itu, perusahaan juga perlu memberikan informasi yang lengkap tentang pelatihan, sehingga para konsumen terus tertarik dan menciptakan kesan dan persepsi yang baik tentang perusahaan