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All Journal Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Komputer AMIK BSI Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal AbdiMas Nusa Mandiri Computer Science (CO-SCIENCE) Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Insan Perigel: Jurnal Penyuluhan Masyarakat Indonesia Ladang Artikel Ilmu Komputer Prawara Jurnal Pengabdian Masyarakat
Hylenarti Hertyana
Universitas Nusa Mandiri
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Rancang Bangun Sistem Pendaftaran Webinar dan E-Certificate Otomatis Rahmawati, Eva; Brawijaya, Herlambang; Hertyana, Hylenarti
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 9 No. 1 : Tahun 2024
Publisher : LPPM UNIKA Santo Thomas

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

Abstract

In a world increasingly connected digitally, webinars have become a crucial tool for education, training, and information exchange. Along with the rapid growth in the use of webinars, there are often shortcomings in the registration process and distribution of e-certificates, which are inefficient and unsatisfactory. The main issue is the time and human resources required in this process, increasing the risk of errors. Thus, there arises a need for an effective system to manage registration and e-certificate distribution. The automated webinar registration and e-certificate system offer an efficient solution to meet these needs, with the primary goal of maximizing ease of use and operational effectiveness. This system is designed for the automation of the registration process, participant validation, and the creation and distribution of e-certificates, all aimed at enhancing user experience and reducing administrative workload. The development of this system is carried out using the Extreme Programming (XP) method. XP was chosen for its ability to handle changes in needs quickly and efficiently, and its focus on technical quality and customer satisfaction. With a focus on user needs and rapid adaptation to feedback, this system is expected to improve operational efficiency, reduce manual errors, and enhance user satisfaction.
Customer Churn Prediction Pada Sektor Perbankan Dengan Model Logistic Regression dan Random Forest Mufida, Ely; Andriansyah, Doni; Hertyana, Hylenarti; mufida, elly
Computer Science (CO-SCIENCE) Vol. 5 No. 1 (2025): Januari 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v5i1.7576

Abstract

– Customer churn is a detrimental phenomenon in the banking sector because it can reduce revenue and increase the cost of acquiring new customers. This research aims to compare the performance of two models, Logistic Regression and Random Forest, to predict customer churn using datasets from Kaggle. The research process involves data preprocessing such as z-score normalization and dividing the dataset into training data (70%) and testing data (30%). The model was evaluated using a confusion matrix with Accuracy, precision, recall and F1-Score values. Logistic Regression achieved 76.85% Accuracy, 79% precision, 94% recall, and 86% F1-Score, showing quite good performance but susceptible to false positives. In contrast, Random Forest shows superior performance with 83.12% Accuracy, 84% precision, 96% recall, and 90% F1-Score. Random Forest is suitable for problems with high recall requirements because it is more reliable in detecting potential customer churn. To further improve model performance, it is recommended to perform hyperparameter optimization and feature importance analysis. This churn prediction model is expected to help banks reduce churn and increase customer retention.
Analisis Kepuasan Pengguna Terhadap Tokopedia Menggunakan Metode Service Quality (Servqual) Rukmantara, Muhammad Rakha Adrian; Hertyana, Hylenarti; Hernawati
Jurnal INSAN Journal of Information System Management Innovation Vol. 5 No. 1 (2025): Juni 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/j-insan.v5i1.9715

Abstract

The development of information and communication technology has transformed business practices in Indonesia, with e-commerce platforms like Tokopedia playing a crucial role in the digital ecosystem. However, Tokopedia users face challenges such as delayed responses and product description mismatches that impact user satisfaction. This study aims to analyze Tokopedia user satisfaction using the SERVQUAL method encompassing five dimensions: Tangibles, Reliability, Responsiveness, Assurance, and Empathy. The problem is addressed by identifying gaps between user expectations and perceptions of Tokopedia's service quality through SERVQUAL GAP analysis, then providing improvement recommendations based on priority dimensions with the highest negative GAP values. The research employed a descriptive quantitative approach with 100 Tokopedia users selected using the Lemeshow formula. Data was collected through online questionnaires distributed via Discord platform and analyzed using SERVQUAL GAP analysis method. Validity test results showed all question items were valid (r calculated > 0.195) and reliable (Cronbach's Alpha > 0.7). The findings revealed an average GAP value of -0.3, indicating overall user dissatisfaction with Tokopedia's services. The Tangibles dimension showed positive satisfaction (GAP 0.18), while four other dimensions indicated dissatisfaction: Empathy (-0.7), Responsiveness (-0.57), Assurance (-0.29), and Reliability (-0.12). This study provides priority improvement recommendations for Empathy and Responsiveness dimensions to enhance Tokopedia user satisfaction.
User Satisfaction Analysis of the PT Dikstra Cipta Solusi Website Using the Webqual 4.0 Method Hertyana, Hylenarti; Lomotu , Syahrozi; Rahmawati, Eva
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4039

Abstract

The abundance of IT consulting firms in this digital era necessitates continuous improvement for these companies. From services to products, everything must be constantly updated. Websites have become a crucial platform for reaching customers connected to the internet. Customer satisfaction is equally important in building trust with IT consulting firms. This makes companies more aware of the need for customer satisfaction. The Webqual 4.0 method can be a solution to help IT consulting firms understand satisfaction from the end user's perspective by measuring website quality in terms of usability, information quality, and service interaction. The use of the Webqual 4.0 method also requires IT consulting firms to pose a series of questions to existing customers to gauge how attractive, informative, useful, and secure a website is when accessed. This makes the method highly effective if the questions asked are accurate and align with the views of the customers or end users. From the research conducted on PT Diksta Cipta Solusi, it was found that the dominant characteristics of the website users are males aged 35-39 years, with a usage frequency of about twice a month. User evaluations of the website fall into the good category, with the majority of users feeling satisfied or very satisfied, as evidenced by the high validity and reliability of the assessments. The most significant factor influencing user satisfaction is usability, particularly in terms of the ease of operating the website. It was discovered that the three independent variables—usability, information quality, and service interaction—collectively influence user satisfaction. This study makes an important contribution by demonstrating the effectiveness of the Webqual 4.0 method in measuring website quality and providing insights for IT consulting firms to focus on improving usability, information quality, and service interaction to enhance user satisfaction.
Prediksi Kualitas Udara Daerah Tangerang Selatan Melalui Parameter ISPU dengan Metode LSTM Andriansyah, Doni; Hertyana, Hylenarti; mufida, elly
Jurnal INSAN Journal of Information System Management Innovation Vol. 5 No. 2 (2025): Desember 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/j-insan.v5i2.10352

Abstract

Indeks Standar Pencemar Udara (ISPU) adalah angka yang tidak mempunyai satuan yang menggambarkan kondisi mutu udara ambien di suatu lokasi, berdasarkan dampaknya terhadap kesehatan manusia, estetika, serta makhluk hidup lainnya. Tanggerang Selatan adalah salah satu kota di Provinsi Banten, Indonesia, yang merupakan bagian dari wilayah Jabodetabek. Tangerang Selatan berkembang pesat sebagai kota urban dan satelit Jakarta, dan menjadi area industri ringan dan komersial. Penelitian ini menggunakan model Long Short-Term Memory (LSTM) untuk memprediksi angka ISPU pada kota Tanggerang Selatan. Berdasarkan hasil penelitian, model LSTM mampu memprediksi kualitas udara di Tangerang Selatan dengan akurasi yang cukup tinggi. Model berhasil mengikuti pola data historis selama 30 hari dengan baik dan menghasilkan prakiraan 7 hari ke depan yang cukup mendekati nilai aktual. Hal ini ditunjukkan oleh nilai evaluasi yang memuaskan, yaitu MSE sebesar 15,15, RMSE sebesar 3,89, dan MAE sebesar 2,86, mengindikasikan rata-rata kesalahan prediksi yang relatif kecil. Perbedaan antara nilai prediksi dan aktual kualitas udara harian berada dalam rentang yang dapat diterima.
Co-Authors Ahmad Al Kaafi Andi Taufik Asyharudin Desianty, Annisa Devita Dwi Fauzi Doni Andriansyah Eka Rini Yulia Elly Mufida Elly Mufida, Elly Eva Rahmawati Fachmi, Muhammad Fadillah Fatmawati Fatmawati Fatmawati Fatmawati Fauzi Ahmad Muda Fitria Fitria Herlambang Brawijaya Hernawati Karo Karo, Alhazri Laela Kurniawati Lilyani Asri Utami, Lilyani Asri Lomotu , Syahrozi Mufida , Elly mufida, ely Narti Narti Nataza, Syali Oktavia Ria Ria Rukmantara, Muhammad Rakha Adrian Sandra Dewi Saraswati Siti Ernawati Siti Nur Khasanah Siti Nur Khasanah Sugeng Riyanto Sukmawati Anggraeni Putri