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All Journal Liquidity: Jurnal Riset Akuntansi dan Manajemen Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jutech: Jurnal Teknologi Informasi Jurnal Sistem Informasi
Ellya Sestri
ITB Ahmad Dahlan Jakarta
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Analisis Pengaruh Persepsi Kebermanfaatan, Keamanan, Kepercayaan dan Kemudahan Terhadap Minat Menggunakan Online Banking Generasi X, Y, dan Z Husnayetti Husnayetti; Ellya Sestri
Liquidity: Jurnal Riset Akuntansi dan Manajemen Vol 8 No 2 (2019)
Publisher : Institut Teknologi dan Bisnis Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/lq.v8i2.341

Abstract

The purpose of this study is to analyze the influence of perceptions of usefulness, security, trust and ease of interest in using online banking for X, Y and Z generations in the South Tangerang area. Researchers used primary data by distributing questionnaires to respondents (generations X, Y and Z). All samples taken match meet the following criteria: 1) Respondents residing in South Tangerang and 2) have used online banking. The analysis used is multiple linear regression with SPSS software. The results showed that partially for X generation, perceptions of usefulness, security, and ease had a positive effect on interest in using online banking, while the perception of trust had a negative influence on the interest in using online banking in the South Tangerang area. Meanwhile, for Y generation, perceptions of usefulness and convenience have a positive effect on the interest in using online banking while the perception of security and trust negatively affects the interest in using online banking. For the Z generation, perceptions of usefulness, trust and ease in using online banking have a positive effect, while security perceptions negatively affect the interest in using online banking. As for simultaneous analysis there is a significant influence on perceptions of usefulness, security, trust and ease of using online banking with a R2 value of 62.5% for generation X, 61.7% for generation Y and 65.1% for generation Z.
Islam Dan Sains Teknologi Modern Sarli Amri Teguh Pribadi; Ellya Sestri
Jurnal Teknologi Informasi (JUTECH) Vol 1 No 1 (2020): JUTECH: Jurnal Teknologi Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jutech.v1i1.850

Abstract

Tema agama dan sains teknologi selalu menjadi wacana diskusi yang menarik. Sains dalam kehidupan manusia selalu berkembang dan berubah. Sains dan bahkan seolah tidak pernah terprediksikan sebelumnya. Sains dan teknologi di Barat mengalami perkembangan pesat pada abad 17-18 sejak revolusi keilmuan terhadap otoritas keagamaan pada abad 12-13.[1]Sains Islam adalah sains yang dikembangkan oleh kaum muslimin sejak abad Islam ke-2 hingga ke-9, merupakan peradaban yang paling produktif dibandingkan dengan peradaban manapun diwilayah sains, dan sains Islam berada di garda depan berbagai kegiatan keilmuan, mulai dari bidang kedokteran sampai astronomi. Dan disinlah menjadi penting bahwa antara sains dan Islam memiliki hubungan yang sangat erat, karena sains Islam adalah lahir dari worldview dan pandangan hidup Islam yang terderivasi dari al-Qur’an dan Hadits sebagai otoritas kebenaran.
Analisis Faktor Penentu Preferensi Masyarakat Milenial Dalam Menggunakan Sistem Pembayaran Secara Cashless Di Tangerang Selatan Husnayetti Husnayetti; Ellya Sestri; Irma Novida
Jurnal Teknologi Informasi (JUTECH) Vol 1 No 1 (2020): JUTECH: Jurnal Teknologi Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jutech.v1i1.851

Abstract

The study focuses on the determinants of the millennial community preference in using cashless payment. The aim of research to identify factors that considered the millennial to use cashless payment. In theory, the factors that encourage people to adopt and use electronic payment system as follows: Socio-demographic consisting of age, sex, education and language, Financial, Technology (frequency of use of mobile banking phone, a personal computer, the Internet, PDAs and the use of the service over the phone) and Supply-side by counting the number of POS (Pont Off Sale) and ATM. Furthermore, the high range of the technology and the Internet and systems digital payment (cashless)The earliest touching the millennial so in this study conducted in the millennial who use cashless payment in South Tangerang method is purposive sampling, the data obtained through questionnaires distributed to 100 respondents. The questionnaire prepared by the Likert scale and analyzed using factor analysis and descriptive analysis. From the results of the study showed that the determinants of the millennial use payment cashless is the ability of financial (X1) with a loading factor 0.736, Convenience Payment (X2) with loading factor of 0.732, Ease of transacting (X3) with a value of 0.875 and Special Promo (X4) with a value of 0.826-factor loading.
Implementasi Teknik Clustering Untuk Pengelompokan Mobil Bekas Berdasarkan Grade Pada Mobi Auto Diana Yusuf; Ellya Sestri; Fahrul Razi
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol 6, No 2 (2023): J-SISKO TECH EDISI JULI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v6i2.8352

Abstract

Penelitian ini bertujuan untuk mengimplementasikan teknik clustering dalam pengelompokan mobil bekas berdasarkan grade pada perusahaan Mobi Auto. Metode clustering yang digunakan ialah K-Means Clustering untuk mengelompokkan mobil bekas ke dalam  3 (tiga) grade yakni grade A (Mobil Kualitas Sangat Baik), grade B (Mobil Kualitas Baik), dan grade C (Mobil Kualitas Rata-Rata). Data fitur kendararaan, kondisi fisik, riwayat perawatan, harga dan atribut tambahan dikumpulkan dan digunakan sebagai variabel dalam analisis klasterisasi. Hasil penelitian ini dapat memberikan pengelompokkan mobil bekas sesuai dengan grade yang ditetapkan oleh perusahaan. Hal ini akan membantu Mobi Auto dalam mengelola stok mobil bekas dengan lebih efisien, memberikan informasi yang akurat kepada pelanggan dan meningkatkan pengalaman pembelian mobil bekas. Implementasi K-Means Clustering ini dapat menjadi alat yang bermanfaat dalam pengelompokkan mobil bekas berdasarkan grade di perusahaan Mobi Auto. Penelitian ini memberikan dasar bagi pengembangan sistem pengelompokkan yang lebih canggih dan efektif di masa depan, serta memberikan manfaat dalam pengolahan dan analisis data secara keseluruhan untuk perusahaan penjualan mobil bekas.    
Metode Decision Tree Dalam Klasifikasi Kredit Pada Nasabah PT Bank Perkreditan Rakyat (Studi Kasus : PT BPR Lubuk Raya Mandiri) Diana Yusuf; Ellya Sestri
Jurnal Sistem Informasi (JUSIN) Vol 1 No 1 (2020): JUSIN
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v1i1.855

Abstract

Data mining is a new technology that has been successfully applied in many fields. Many problems are solved by data mining algorithms C4.5 as a supporter.Classification is one of the methods contained in data mining and not a few researchers who use the classification methods in solving problems. Credit analysis will be done with the digging data against existing data customer credits based on atribut-atributnya with tekanik data mining algorithm C4.5. The algorithm C4.5 is itself a group of decision tree algorithm. This algorithm has input in the form of training and samples. Data mining technique used to classify loans with algorithm C4.5. Analysis and processing of data use applied tools of RapidMiner v 7.3
Co-Authors Diana Yusuf Fahrul Razi Husnayetti Husnayetti Novida, Irma Sarli Amri Teguh Pribadi