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All Journal Jurnal SOLMA Jurnal Informatika Universitas Pamulang Humanika JPMI (Jurnal Pendidikan Matematika Indonesia) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Journal Of Human And Education (JAHE) KOMMAS: Jurnal Pengabdian Kepada Masyarakat Journal of Research and Publication Innovation LOGIC : Jurnal Ilmu Komputer dan Pendidikan Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia OKTAL : Jurnal Ilmu Komputer dan Sains AMMA : Jurnal Pengabdian Masyarakat JRIIN :Jurnal Riset Informatika dan Inovasi Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) APPA : Jurnal Pengabdian Kepada Masyarakat TEKNOBIS : Jurnal Teknologi, Bisnis dan Pendidikan AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan
Ines Heidiani Ikasari
Universitas Pamulang
Aerospace Engineering Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Social Sciences Transportation Other

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Journal : Jurnal Informatika Universitas Pamulang

 1 
Penggunaan ICT dalam Penyusunan Modul Statistika Tri Hidayati; Ita Handayani; Ines Heidiani Ikasari
Jurnal Informatika Universitas Pamulang Vol 3, No 3 (2018): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.315 KB) | DOI: 10.32493/informatika.v3i3.2128

Abstract

In this study, the objectives to be achieved are teaching material products in the form of information technology-based statistical modules (Information and communication technology). This study uses the development of the ADDIE model in the preparation of the module. The ADDIE model consists of analysis (analysis), design (design), development (development), implementation (implementation) and the last is evaluation (evaluation). In the ADDIE model, the module developed contains valid, practical and effective criteria. Validity criteria refer to the validity of experts and practitioners. For the practicality of modules developed, based on the instrument in the form of a questionnaire. While for module effectiveness, it can be seen from the value of student achievement. The results of this study indicate that the modules developed meet valid criteria which fall into the very good category. For the module practicality criteria, the research shows that the module falls into a very good category based on the observations of the implementation of lecturers' learning and assessment. Based on student responses, the developed statistical modules fall into the good category. As for the effectiveness category, based on student achievement, the module can be classified as effective.
Perbandingan Metode Klasifikasi C4.5 dan Naïve Bayes untuk Mengukur Kepuasan Pelanggan Ines Heidiani Ikasari; Devi Yunita
Jurnal Informatika Universitas Pamulang Vol 6, No 3 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i3.9160

Abstract

Data mining is a process of collecting meaningful data from some large information contained in information bases, information warehouses or other documentation places. Classification is an educated educational process (supervised learning). The universal classification procedures used include: Decision tree, K-Nearest Neighbor, Naïve Bayes, Neural Network, C4. 5 as well as SVM. Consideration of the classification method is tried to ensure the type of classification that shares the highest accuracy value of an object. The information used in this research is information from a questionnaire about customer satisfaction with the services of PT. Media Semesta Solutions, the factors used in this research are Reliability, Responsiveness, Assurance, Empathy, and Tangibility. Based on the results of the comparative analysis, the information mining classification procedure is C4.5 and Naïve Bayes proves that the C4 method. 5 is more accurate than the Naïve Bayes method, this result is seen from the accuracy value where the C4 procedure. 5 has an accuracy value of 94, 17%, greater than Naïve Bayes with an accuracy value of 85.83%.
Rancang Bangun Aplikasi Pemesanan Produk Toko MUMA Berbasis Mobile Jonathan Sinarta Surbakti; Ines Heidiani Ikasari
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.13890

Abstract

Every E-commerce business, if they want to continue to advance and develop in its world, requires continuous updates in accordance with the times. Making a mobile-based product ordering application for MUMA stores is one way for MUMA stores to progress and develop in their business. With this mobile application, consumers will find it easy to shop for MUMA store products so that the MUMA store business becomes more developed. This research uses observation and literature study in collecting data, information and materials for research. This application will use flutter as a framework in its creation. The software testing method will use the black box method where only the functionality of the system will be tested, while testing for the objectives of this application, the data collection method through a questionnaire will be used which later the data obtained will be processed with a Likert scale calculation. Keywords: e-Commerce; Mobile Application; Flutter
Rancang Bangun Aplikasi Pemesanan Produk Toko MUMA Berbasis Mobile Jonathan Sinarta Surbakti; Ines Heidiani Ikasari
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.13890

Abstract

Every E-commerce business, if they want to continue to advance and develop in its world, requires continuous updates in accordance with the times. Making a mobile-based product ordering application for MUMA stores is one way for MUMA stores to progress and develop in their business. With this mobile application, consumers will find it easy to shop for MUMA store products so that the MUMA store business becomes more developed. This research uses observation and literature study in collecting data, information and materials for research. This application will use flutter as a framework in its creation. The software testing method will use the black box method where only the functionality of the system will be tested, while testing for the objectives of this application, the data collection method through a questionnaire will be used which later the data obtained will be processed with a Likert scale calculation. Keywords: e-Commerce; Mobile Application; Flutter
Co-Authors Abdi Kurniawan Ade Rosadi Adeka Saputra Adi Ilhamdi Akbar Aditia Aditia adrian abdillah Ahmad Fadly Fahmi Ahmad Nurkholis Aimi Saputra Akmal Taufiq Hidayat Albertus Sulaiman, Albertus Amalia, Resti Amirulah Kaharudin An Nisa Dira Andhika Bayu Prasetyo Andrian Arnold Agusti Pratama Arya Tunggal Narotama Ayni Suwarni Herry Azriel Fachrul Rezy Bagus Muhammad Saputra Debi Numansah Dena Wulandari Dena Wulandari Devi Yunita Erfina Yuanita Eva Yuliza Fadhil Is Hakim Fransiskus Pito Tenawahang Gugum Gumelar Habib Ita Handayani Ita Handayani Ita Handayani Ita Handayani Jonathan Sinarta Surbakti Kurdi M. Zidni Ilman Maulana Yusuf Mia Audina Michael Ballac Saputra Miftah Aziz Mohamad Firdaus Fitrananda Muhamad Hanafi Muhamad Kiky Basuki Muhammad Akbar Fadillah Muhammad Fahrezi Muhammad Fauzan Arif Muhammad Ilham Syhani Muhammad Ridhan Maulana Nanda Muhammad Rio Arya Pratama Muhammad Subhan Abdullah Muhammad Syam Noverick Muhammd Rifqi Fauzi Nur Muhamad Rijki Pawit Wahib Perani Rosyani Raditya Arya Darmawan Rahman Maulana Resti Amalia Retno Septiyaningrum Ainun Marjuki Ricky Muharik Rio Agung Pangestu Rizal Sidik Ruslan Abu Honi Salman Alparisi surika ilham noreza syahadan Tedy Mawardi Tedy Mawardi Tri Hidayati Tri Hidayati Tri Hidayati Tri Hidayati Tri Hidayati Tri Rahmawati Wenang Perdana Widyah Noviana Widyah Noviana Willa Agustin Windia Hadi Wiwit Kurniawan