Article Per Year (5 Year)
p-Index From 2021 - 2026
7.25
P-Index
This Author published in this journals
All Journal TEKNIK INFORMATIKA JIK Jurnal Ilmu Komputer Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Proceeding SENDI_U Jurnal Komputasi Seminar Nasional Teknologi Informasi Komunikasi dan Industri IKRA-ITH Informatika : Jurnal Komputer dan Informatika Sebatik Jurnal Pengabdian Masyarakat AbdiMas Simtek : Jurnal Sistem Informasi dan Teknik Komputer Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal Progresif: Jurnal Ilmiah Komputer ADI Journal on Recent Innovation (AJRI) JATI (Jurnal Mahasiswa Teknik Informatika) ICIT (Innovative Creative and Information Technology) Journal Journal Sensi: Strategic of Education in Information System Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Abdi Insani Journal of Applied Data Sciences IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Bulletin of Computer Science Research Jurnal Minfo Polgan (JMP) International Journal of Cyber and IT Service Management (IJCITSM) Startupreneur Business Digital (SABDA Journal) Jurnal Ilmu Multidisplin Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII Jurnal Penelitian Sistem Informasi International Transactions on Education Technology (ITEE) Scientica: Jurnal Ilmiah Sains dan Teknologi Nusantara Journal of Multidisciplinary Science Journal of Innovative and Creativity Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) SMART : Jurnal Teknologi Informasi dan Komputer
Riya Widayanti
Esa Unggul University Jakarta, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 59 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 59 Documents
Search

 2   3   4   5   6 
Analisis Sentimen pada media sosial Twitter Terhadap Aplikasi Maxim Menggunakan Metode Naïve Bayes Classifier Sinaga, Robby; Widayanti, Riya
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.5468

Abstract

Maxim merupakan salah satu aplikasi transportasi online yang berkembang pesat di Indonesia dan dikenalmemiliki tarif yang lebih rendah dibandingkan kompetitornya. Namun, layanan ini tidak lepas dari berbagaiopini, baik positif, negatif, maupun netral yang disampaikan pengguna di media sosial, khususnya Twitter.Penelitian ini bertujuan untuk menganalisis sentimen masyarakat terhadap aplikasi Maxim denganmemanfaatkan teknik text mining dan algoritma Naïve Bayes Classifier. Data diambil dari unggahanpengguna Twitter yang sesuai dengan kriteria purposive sampling. Data yang diperoleh kemudian melaluitahapan preprocessing teks, ekstraksi fitur menggunakan TF-IDF, dan klasifikasi sentimen. Hasil penelitianmenunjukkan distribusi sentimen pengguna terhadap Maxim. Evaluasi model menunjukkan tingkat akurasitertentu. Dengan demikian, penelitian ini memberikan gambaran umum mengenai persepsi masyarakatterhadap aplikasi Maxim yang dapat menjadi bahan evaluasi dan pengembangan layanan perusahaan
Knowledge Management Solution Mengidentifikasi Solusi KM yang Tepat Studi Kasus: Sistem Informasi Perpustakaan Digilib Rahanar, Abdul Fatah; Putra, Alwan Abiyu; Amal, Muhammad Fatikhul; Setyowardhani, Tasya; Widayanti, Riya
Scientica: Jurnal Ilmiah Sains dan Teknologi Vol. 2 No. 2 (2024): Scientica: Jurnal Ilmiah Sains dan Teknologi
Publisher : Komunitas Menulis dan Meneliti (Kolibi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.572349/scientica.v2i2.870

Abstract

Perpustakaan merupakan organisasi yang memiliki pengetahuan yang sangat berharga. Pengetahuan tersebut dapat berupa pengetahuan eksplisit, seperti buku, jurnal, dan dokumen, maupun pengetahuan implisit, seperti pengalaman dan keterampilan karyawan. Manajemen pengetahuan (KM) merupakan proses pengelolaan pengetahuan untuk meningkatkan efektivitas dan efisiensi organisasi. KM dapat membantu perpustakaan untuk meningkatkan layanan, mengurangi biaya, dan meningkatkan inovasi. Proses identifikasi solusi KM yang tepat merupakan proses yang penting untuk dilakukan oleh perpustakaan. Proses ini dapat membantu perpustakaan untuk memilih solusi KM yang paling tepat untuk memenuhi kebutuhannya. Dalam jurnal ini, penulis menggunakan studi kasus Sistem Informasi Perpustakaan Digilib untuk menunjukkan bagaimana proses identifikasi solusi KM dapat dilakukan. Penulis menemukan bahwa proses identifikasi solusi KM terdiri dari tiga tahap, Tahap analisis kebutuhan, Tahap evaluasi Solusi, dan Tahap pemilihan Solusi. Berdasarkan hasil penelitian, penulis menyimpulkan bahwa proses identifikasi solusi KM yang tepat merupakan proses yang kompleks dan membutuhkan keterlibatan berbagai pihak. Namun, proses ini penting untuk dilakukan agar perpustakaan dapat memilih solusi KM yang paling tepat untuk memenuhi kebutuhannya.
Pemanfaatan Artificial Intelligence Dalam Implementasi Chatbot Helpdesk untuk Mendukung Layanan TIK Publik pada Instansi Pemerintahan Kartini, Kartini; Malabay, Malabay; Widayanti, Riya
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.769

Abstract

Public services in many government institutions are still traditional, characterized by slow processes, bureaucracy, and limited working hours. This condition makes it difficult for the public to obtain information quickly and accurately. This study aims to analyze the utilization of Artificial Intelligence (AI) in the form of chatbots as a digital innovation to improve the quality, efficiency, and accessibility of public services. The research method used is a qualitative approach through literature review, observation, and interviews with ICT Public Service staff or employees at government agency, as well as users from the community. The research findings, as presented in Table 1 in Discussion sub-chapter 3.4, show that chatbots are able to provide instant and consistent responses, operate more efficiently (saving human resources and time), respond within one minute (real-time, 24/7), support automation, and reduce the workload of government officials through interactive services available around the clock. However, key challenges remain, including limitations in natural language understanding, data security issues, and user resistance to new technologies. With appropriate development strategies and attention to digital literacy among citizens, AI-based chatbots have the potential to become an effective solution in supporting the transformation of public services toward smart, transparent, and citizen-oriented governance.
Reinventing Human Resource Practices Through Digital Marketing Platforms and Remote Work Technologies Pramudito, Eko Sigit; Widayanti, Riya; Purnama, Suryari; Al-Farouqi, Kamal Arif
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/m4qs8j08

Abstract

The digital era has transformed human resource (HR) management, with or- ganizations adopting digital platforms, remote work technologies, and digital marketing strategies to improve productivity, optimize talent management, and enhance employer branding. These innovations also support Sustainable Devel- opment Goals (SDGs), including SDG 4 (Quality Education), SDG 8 (DecentWork and Economic Growth), and SDG 9 (Industry, Innovation, and Infrastructure). This study examines how HR practices are reinvented through dig- ital tools and marketing-driven initiatives, focusing on recruitment, employee engagement, performance management, and training, while highlighting chal- lenges and opportunities. A qualitative descriptive approach analyzed sec- ondary data from peer-reviewed journals, case studies of multinational corpora- tions and SMEs, and industry reports published between 2021 and 2025. Con- tent analysis identified themes related to HR digital adoption, workforce en- gagement, marketing integration, and strategic implications. HR digitalization poses challenges such as employee resistance, digital literacy gaps, cybersecu- rity risks, and maintaining organizational culture. Opportunities include greater flexibility, cost efficiency, improved engagement, enhanced employer branding, and access to global talent pools. Digital platforms, remote work, and marketing strategies are strategic assets reshaping HR management and aligning practices with sustainability goals.
Design Dashboard Monitoring Teacher Performance Assessment at Cinta Kasih Tzu Chi High School Sugiyanti, Sri Dewi; Widayanti, Riya; Ulum, M Bahrul; Firmansyah, Gerry; Azizah, Anik Hanifa
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 4 No 1 (2022): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v4i1.569

Abstract

Teachers are one of the main components in the world of education where they have a role in improving the quality of education. Where the quality of this education can be seen from the quality of teachers, but the quality of teachers is not only determined by the way of teaching and learning in the classroom, therefore it is necessary to conduct an assessment of teacher performance to measure the duties and responsibilities and obligations of each teacher. So to make it easier to analyze data and see the quality of teachers, a dashboard is designed to monitor teacher performance assessments that have been set by Cinta Kasih Tzu Chi High School based on document studies and interviews with school principals. Dashboard is one solution to present data in the form of visualization which is considered to provide clarity of information to be conveyed. This dashboard design uses a user centric method to describe the end-user design process that influences how a design is formed by utilizing Google Data Studio which will present information based on key performance indicators in graphic form to make it more interactive and easy to understand.
Measuring Contingency Factors in the Application of Knowledge Management in the XYZ College Session Management System Process Aulia Faradilla Jasmine; Ida Nurlela; Jenyta Primaranti; Satria Valerian Shari; Riya Widayanti
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 3 No. 1 (2024): January-June
Publisher : Gayaku Publisher

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

Abstract

The phenomenon of knowledge management can be seen as a desire to restore the essence of "knowledge" and avoid the view that knowledge is an inanimate object. In organizational life, both for business and non-business, knowledge is always associated with the potential value that exists in various components or processes (flows) of the overall "capital" in the organization. In knowledge management, contingency factors refer to various conditions and situations that can influence the design and implementation of an organization's knowledge management system. By understanding these factors, an organization can adapt its knowledge management strategy to meet their unique needs and characteristics. The research method used by researchers in this study is a qualitative approach using descriptive methods, using descriptive-qualitative methods which can be used to measure contingency factors in the application of knowledge management in the trial management system process. Assessment of knowledge management for KM solutions has helped in creating, capturing, sharing, and apply knowledge and influence the 4 aspects of individual/person/employee, product, process, and overall organizational performance. The impact of knowledge management on organizations is also very important, which includes People, Product, Process, Over All Performance. KM processes can influence organizations at four levels in two ways. First, the process can help create knowledge, which can help improve organizational performance on all four measures. The terms "final project" and "thesis" are used in higher education to refer to scientific work which is a presentation of the results of Bachelor's Degree (S1) research which discusses a problem in a particular field using applicable rules.
Klasifikasi Sentimen untuk Prediksi Churn Pengguna Aplikasi Mamikos Menggunakan Support Vector Machine (SVM) dan Naïve Bayes Fitri Nur Utami; Hani Dewi Ariessanti; Riya Widayanti; Arief ichwani
Jurnal Ilmu Multidisiplin Vol. 4 No. 4 (2025): Jurnal Ilmu Multidisplin (Oktober - November 2025)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jim.v4i4.1244

Abstract

Tingginya tingkat churn atau berhentinya pengguna dalam menggunakan aplikasi Mamikos menjadi tantangan serius bagi perusahaan. Penelitian ini bertujuan untuk menganalisis sentimen dan memprediksi kemungkinan churn pengguna menggunakan algoritma Support Vector Machine (SVM) dan Naïve Bayes. Metode ini dipilih karena SVM unggul dalam menangani data berdimensi tinggi, sedangkan Naïve Bayes efektif dalam klasifikasi berbasis probabilitas. Dataset diperoleh dari perusahaan Mamikos melalui program studi independen, kemudian melalui tahapan preprocessing, ekstraksi fitur, pelabelan, dan pemodelan. Evaluasi dilakukan menggunakan confusion matrix untuk mengukur akurasi, presisi, recall, dan f1-score. Hasil menunjukkan bahwa kombinasi kedua algoritma memberikan akurasi yang cukup baik dalam memprediksi churn berdasarkan ulasan pengguna. Penelitian ini memberikan kontribusi dalam pengembangan strategi retensi pelanggan berbasis machine learning.
Implementation of Authentication Systems on Hotspot Network Users to Improve Computer Network Security Ellen Dolan; Riya Widayanti
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 2 No. 1 (2022): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v2i1.93

Abstract

Because of the growing number of apps that use client servers, both desktop and WEB applications, each user must learn a large number of user ids and passwords, because each application requires authentication in order to use it for security reasons. Furthermore, the development of network media, both wired and wireless, is accelerating. In the scenarios stated above, RADIUS (Remote Authentication Dial-In User Service) technology is required since the RADIUS approach allows a user to utilize a single user id to access several applications, both desktop and web-based. The RADIUS protocol may be used with both wired and wireless media.
Implementasi Sistem Informasi Penjualan Berbasis Website Sebagai Strategi Digitalisasi UMKM Pada Rano Cake Muhammad Bima Aryantoro; Riya Widayanti; Hani Dewi Ariessanti; Ryan Putra Laksana
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.4499

Abstract

Rano Cake merupakan usaha mikro kecil menengah di bidang makanan yang berfokus pada produksi dan penjualan kue dengan sistem pre-order serta layanan langsung. Promosi dan komunikasi pelanggan sebelumnya masih mengandalkan media sosial sehingga menimbulkan kendala berupa perubahan informasi yang tidak konsisten, proses konfirmasi manual, dan pencatatan transaksi yang rawan kesalahan. Penelitian ini bertujuan merancang sistem informasi penjualan berbasis web dengan integrasi gerbang pembayaran untuk menyederhanakan pemesanan, pembayaran, dan pengelolaan transaksi. Metode penelitian yang digunakan bersifat deskriptif kualitatif dengan pengumpulan data melalui observasi, wawancara, dokumentasi, dan studi pustaka. Sistem dikembangkan dengan pendekatan Prototyping menggunakan teknologi Next.js, NestJS, PostgreSQL, dan HeroUI. Hasil pengujian menunjukkan bahwa sistem mampu meningkatkan efisiensi proses bisnis, memberikan transparansi layanan melalui pelacakan pesanan, serta memudahkan pemilik usaha dalam memantau transaksi dan menyusun laporan penjualan.
Co-Authors Achmad Benny Mutiara Adi Widiantono Agustinus Teiretius Bebi Ahmad Fuad Al-Farouqi, Kamal Arif Amal, Muhammad Fatikhul Ananda, Muhammad Rizqy Ananda, Nadaa Septya Dwi Andreas, Ryan Anggy Giri Prawiyogi Archa Erica Ari Pambudi Arif Apriansah Aropria Ria Saulina Panjaitan Aulia Faradilla Jasmine Aulia Wellington Avinanta Tarigan Avinanta Tarigan Aziz Samudra, Rangga Azizah, Anik Hanifa Azizah, Anik Hanifatul Bangun, Cicilia Sriliasta Bartholomeus Dimanche Carl Beth Benny Muyarman Budi Tjahjono Debi Irawan Dedeh Supriyanti Deva Rivelino Duta Liana Ellen Dolan Faisal Yusuf Felisia Christiani Felix Sutisna Fitra Putri Oganda Fitra Putri Oganda Fitri Nur Utami Gerry Firmansyah Gideon Hatorangan Rajagukguk Gusti Muhamad Sardana Hani Dewi Ariessanti Hani Dewi Ariessanti Harahap, Eka Purnama Harlinda Syofyan Hendra Bratanata Holder Simorangkir Holder Simorangkir Ichwani, Arief Ida Nurlela Ita Sari Perbina Manik Jenyta Primaranti Julianingsih, Dwi Julius Jery Nolasco Kareena Futri Ramadhani Kartini . Kartini Kartini kartini, kartini Khaerina, Mutia Fauzi Kusuma, Farid Azhar Lestari, Gilda Nadia Vianda Lim Jong Su Lista Meria Lista Meria M Bahrul Ulum, M Bahrul Maemonah, Maemonah Malabay ., Malabay Malabay Malabay Maratis, Jerry Maryanti, Tatik Maulana Fajar Lazuardi Mochamad Heru Riza Chakim Muhamad Bahrul Ulum Muhammad Adi Zacky Zahran Muhammad Bima Aryantoro Muhammad Hadi Arfian Ninda Lutfiani Nizirwan Anwar Noviandi Noviandi Nuche, Asher Nusandari, Karina Dewi Pramudito, Eko Sigit Prasetiyo, Wildan Guretno Primasatria Edastama, Primasatria Putra, Alwan Abiyu R M Salahudin Rahanar, Abdul Fatah Renaldy Hiunarto Rian Adi Pamungkas Riandana Aryaguna, Novan Rizqullah Al-Baihaqi, Miftahul Fikri Ryan Putra Laksana Sabda Maulana Sandy Lorent Santoso, Nesti Anggraini SARASWATI, RIA Satria Valerian Shari Sausan Raihana Putri Setianingsih Setyowardhani, Tasya Shofiyul Millah Silva Wulandari Simorangkir, Holder Sinaga, Robby Sugiyanti, Sri Dewi Suryari Purnama Suryari Purnama Suryari Purnama Sutrisno, Sutrisno Syifa Maulida Akmalia Tatik Mariyanti Taufik Maulana Thedy, Alvian Untung Rahardja Vinsens Aji Pamungkas Widhy Setyowati Williams, Alexander Willson, Jett Lee Yayat, Asep Yulfitri, Alivia Yulhendri Yulhendri Yuliati - Yunita Fauzia Achmad