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Menampilkan 1–8 dari 8 artikel
Rancang Bangun Sistem Informasi Penyedia Jasa Instalasi Listrik Berbasis Web dengan Metode OOAD : Studi Kasus pada CV Givas Jaya Sentosa
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Vol 4
, No 1
(2026)
The development of information technology requires service companies to improve the effectiveness and quality of their services, including in the field of electrical installation services. CV Givas Jaya Sentosa still faces problems in managing orders, customer data, and technician scheduling, which are done manually, resulting in inefficiency. This study aims to design and build a web-based electrical installation service provider information system using the Object Oriented Analysis and Design...
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Predicting Hotel Booking Cancellations Using Machine Learning for Revenue Optimization
Andy Hermawan
; Aji Saputra
; Nabila Lailinajma
; Reska Julianti
; Timothy Hartanto
; Troy Kornelius Daniel
Router : Jurnal Teknik Informatika dan Terapan
Vol 3
, No 1
(2025)
Hotel booking cancellations pose significant challenges to the hospitality industry, affecting revenue management, demand forecasting, and operational efficiency. This study explores the application of machine learning techniques to predict hotel booking cancellations, leveraging structured data derived from hotel management systems. Various classification algorithms, including Random Forest, XGBoost, and LightGBM were evaluated to identify the most effective predictive model. The findings revea...
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Implementing XGBoost Model for Predicting Customer Churn in E-Commerce Platforms
Andy Hermawan
; Aji Saputra
; Muhammad Dhika Rafi
; Syafiq Basmallah
; Yilmaz Trigumari Syah Putra
; Wafa Nabila
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 3
, No 2
(2025)
Customer churn is a major challenge in e-commerce, directly affecting revenue and profit. This study aims to develop a machine learning model using XGBoost to predict churn probability. To handle class imbalance, SMOTE was applied as a resampling method, and hyperparameter tuning was performed to enhance performance. The model was evaluated using the F2-score, prioritizing recall while maintaining precision. The results show that the XGBoost model with SMOTE achieves strong performance, with an...
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Analisis Segmentasi Pelanggan Berbasis RFM dan Evaluasi Efektivitas Kampanye Pemasaran untuk Meningkatkan Retensi
Andy Hermawan
; Fachmi Aditama
; Lintang Rizki Ramadhani
; Nuur Muhammad Ilham
; Aji Saputra
; Nila Rusiardi Jayanti
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 2
, No 4
(2024)
This research implements RFM (Recency, Frequency, Monetary) analysis to perform customer segmentation and evaluate the effectiveness of marketing campaigns in a retail company. Using a Kaggle dataset, this study identifies customers based on purchasing behaviour and assesses marketing campaign responses for each segment. The analysis reveals that Loyal, VIP, and New Customer segments showed the highest responses, especially in Campaign 6. The findings emphasize the importance of targeting resour...
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Analisis Dampak Kesalahan Pemilihan Jurusan terhadap Prestasi Akademik dan Kesejahteraan Psikologis Mahasiswa
Jurnal Ilmu Kesehatan Umum, Psikolog, Keperawatan dan Kebidanan
Vol 2
, No 2
(2024)
In education, choosing the right college major is crucial for students to achieve their academic and career potential. However, many students in Indonesia still choose majors that do not suit their interests and talents, which hurts their academic achievement and psychological well-being. This research aims to identify the impact of errors in choosing a major on students' academic achievement and psychological well-being. This research used quantitative methods with a cross-sectional design to c...
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Analisis Pengaruh Variabel Nilai TIU, TWK, Dan TKP Terhadap Kelulusan SKD Pada Tes CPNS Menggunakan Analisa Bivariat Sederhana
Andy Hermawan
; Aji Saputra
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 2
, No 1
(2024)
This study aims to assess the impact of the General Intelligence Test (TIU), National Insight Test (TWK), and Personal Characteristics Test (TKP) on the success of the Basic Competency Selection (SKD) for Civil Servant Candidate (CPNS). Using data from participants in the Ministry of Law and Human Rights' SKD selection in 2023, we employed univariate analysis, simple bivariate analysis, and binning methods to comprehend variable relationships. Results reveal non-normal distributions for TIU, TWK...
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LEARNING MEDIA PLANNING FOR CLASS XII BLENDER ANIMATION SUBJECTS SMK KANAAN UNGARAN
JURNAL ILMIAH KOMPUTER GRAFIS
Vol 16
, No 2
(2023)
The aim of this research is to create flash-based animation learning media for students at Kanaan Ungaran Vocational School, as well as increasing students' interest in learning animation. The method used is Research and Development, namely a method that develops a particular product such as animation-based learning media. This research was motivated by the discovery of a lack of media for learning animation at Kanaan Ungaran Vocational School, especially in class XI Multimedia animation lessons...
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Analisis Kapasitas Parkir Kendaraan di Kampus Universitas Muhadi Setiabudi, Kabupaten Brebes
Ocean Engineering : Jurnal Ilmu Teknik dan Teknologi Maritim
Vol 2
, No 3
(2023)
As the center of academic activities of Muhadi Setiabudi University with 101 lecturers, 1266 students and 94 employees must be supported by adequate parking infrastructure. Parking is an important infrastructure in an activity. One of the problems in parking is the lack of adequate parking space. For this reason, it is necessary to evaluate the characteristics of parking in the campus area. The evaluation results found parking characteristics at the location in the form of: motorcycle parking vo...
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