Article Per Year (5 Year)
p-Index From 2021 - 2026
3.799
P-Index
This Author published in this journals
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

Published : 35 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Insan

 1 
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.
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