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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 Jiko (Jurnal Informatika dan komputer) 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 Jurnal Teknik Informatika (JUTIF) 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) 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 Jurnal Komputasi
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

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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.
Aplikasi Monitoring Penderita Kardiovaskular dan Obesitas Berbasis Mobile Internet of Things (MIoT) Muhamad Bahrul Ulum; Nizirwan Anwar; Riya Widayanti; Alivia Yulfitri; Hendra Bratanata
Jurnal Komputasi Vol. 8 No. 2 (2020)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v8i2.2648

Abstract

According to the World Health Organization (WHO), coronary heart disease is the biggest cause of death in Indonesia. In 2016, the death rate from heart disease was 122 people per 100,000 population. This figure is higher than other causes, such as stroke, tuberculosis, and diabetes. The number is increasing every year due to changes in lifestyle of Indonesian people who like to eat high-fat foods and lifestyle factors that affect the risk of cardiovascular disease, including lack of physical activity, smoking, unhealthy diet, and alcohol consumption habits. This study aims to monitor the heart rate of cardiovascular sufferers with the mobile internet of things (MIoT) approach. Using the ESP8266 Wifi module for communication to the database server and heart rate sensor to detect heart rate then convert it to Bit per Minute (BPM). Every patient with cardiovascular disease can be monitored using a sensor connected to a smartphone to record any changes that occur. The research method consists of several stages, namely: Prepare, Plan, Design, Implement, Operate and Optimize (PPDIOO). The results obtained in the form of a aplication heart rate monitoring for patients with cardiovascular for healthcare services.
Analisis, Perancangan Layanan Terpadu e-Mall multi_mitra teknologi SOA menghadapi PandemiCOVID-19 kartini kartini; Riya Widayanti
Jurnal Komputasi Vol. 8 No. 1 (2020)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v8i1.2534

Abstract

The progress of the development of information technology, communication and SOA (Service Oriented Architecture) that is very fast making all activities of aspects of human life must follow. Especially creating long distance shopping and transactions, one way to avoid the crowds and chaos of people when conditions (epidemics that are simultaneously contagious everywhere, covering large geographical areas) the COVID-19 pandemic. Among them are business, business, education, and other activities. Constraints developing applications, it is very difficult and expensive and requires a long time due to differences in platforms between applications and limited access to the server for the security of the server itself. SOA can solve this problem, can make existing programs become service oriented. This can be done with programs that have been built in a modular manner so that it is enough to only add web services techniques in them. Then a service interface is created without changing the logic of the program. Thus the testing is sufficient on the interface, while the function / logic in it does not need to be tested again because it does not change. SOA integrates and accelerates Multi-Partner business processes, all of which can improve efficiency in all fields. Based on this fact this research was conducted. The research method begins with a literature study, and documentation of related journals as a reference source for analysis. Then proceed with direct observation, conducting interviews with several Mall partners; store owner, banks, residents / customers in the Mall (the author is not allowed to mention the name of the store owner, customer name, name of the store owner, and the name of the Mall) to get the required data Modeling the system design process of the Unified Modeling Language, Enterprise Architect and tenology used by SOA. The system development method uses Prototype. The end result of this research (study) is expected to be used by related parties in developing remote transactions and other parties interested in SOA.
Predicting Supply Chain Risks Using Machine Learning for Resilient Operations Widayanti, Riya; Setiyowati, Harlis; Yusup, Muhamad; Rodriguez, Marta
ADI Journal on Recent Innovation (AJRI) Vol. 7 No. 2 (2026): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i2.1376

Abstract

Rising supply chain disruptions highlight increasing vulnerabilities in global logistics networks caused by geopolitical conflicts, fluctuating demand, transportation failures, and environmental instability. These challenges reveal the limitations of conventional risk assessment approaches that rely heavily on manual analysis and historical data. Machine Learning (ML) offers a promising approach to enhance predictive intelligence and support more accurate decision making in complex supply chain environments. This study aims to develop and evaluate a Machine Learning based risk prediction model capable of identifying potential supply chain disruptions and enabling early detection of critical risk factors in global logistics operations. A quantitative experimental approach was employed using supply chain datasets integrated with disruption indicators from international logistics activities. The dataset consisted of more than 5,000 operational records collected between 2018 and 2024. Several machine learning algorithms were implemented and compared, including Random Forest, Gradient Boosting, and Support Vector Machines. Experimental results indicate that the Gradient Boosting algorithm achieved the highest predictive performance with an accuracy of 94.2%. The model successfully identified key determinants of supply chain risk, including demand variability, supplier reliability, and transportation delays. These findings confirm that machine learning based predictive models can enhance supply chain resilience by enabling early risk detection and supporting proactive decision making in global logistics operations.
IMPLEMENTATION BLOCKCHAIN IN MOBILE APPLICATIONS SEMINAR ON E-CERTIFICATE VERIFICATION USING SMART CONTRACTS Sahri Ramadan; Sawali Wahyu; Budi Tjahjono; Riya Widayanti
JIKO (Jurnal Informatika dan Komputer) Vol 9 No 1 (2026)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v9i1.11356

Abstract

The increasing adoption of electronic certificates in academic and professional environments raises critical challenges related to authenticity, data integrity, and verification reliability. Conventional certificate management systems commonly rely on centralized architectures and manual validation procedures, which are vulnerable to manipulation, duplication, and single points of failure (SPoF). This study proposes a blockchain-based electronic certificate verification system implemented on a private Hyperledger Fabric network using smart contracts. The system records certificate verification metadata on a distributed ledger to ensure integrity and traceability while maintaining storage efficiency. Smart contracts automate the issuance and validation lifecycle, enabling transparent and tamper-resistant certificate management. The verification process is conducted by comparing document authentication data with records stored on the blockchain. Experimental evaluation demonstrates that the proposed system can accurately identify document alterations and consistently distinguish between valid and invalid certificates. The results indicate that the integration of blockchain and smart contracts as an active validation mechanism enhances transparency, reduces dependence on centralized authorities, and improves trust in mobile-based digital credential systems. Therefore, the proposed approach provides a secure and reliable framework for electronic certificate verification in academic environments.
Pengembagan dan Implementasi Modul Custom Odoo 18 Pada Cloud VPS Muhammad Rizqy Ananda; Riya Widayanti
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15321

Abstract

Pertumbuhan bisnis laundry di era digital menuntut adanya sistem informasi yang efektif, terutama untuk usaha dengan skala menengah hingga multi-cabang. Sistem pencatatan manual sering menimbulkan masalah seperti kesalahan data, keterlambatan layanan, dan sulitnya pelacakan pesanan. Penelitian ini bertujuan mengembangkan modul custom Odoo 18 berbasis cloud computing dengan pendekatan Software as a Service (SaaS) yang diimplementasikan pada Cloud VPS IDCloudHost. Modul dirancang khusus untuk mendukung proses operasional laundry, meliputi manajemen pesanan, pelacakan status cucian, integrasi notifikasi pelanggan, hingga pembuatan laporan keuangan. Metode pengembangan menggunakan Rapid Application Development (RAD) yang menekankan kecepatan iterasi melalui tahapan requirements planning, design workshop, dan implementation. Sistem diuji menggunakan pendekatan black-box testing untuk memastikan fungsionalitas berjalan sesuai kebutuhan pengguna. Hasil implementasi menunjukkan bahwa modul laundry pada Odoo 18 berbasis SaaS mampu meningkatkan efisiensi, akurasi data, serta kemudahan akses bagi banyak pengguna melalui platform cloud.
Comparative Analysis of Baseline IndoBERT, Class-Weighted IndoBERT, and SMOTE with Support Vector Machine for Handling Imbalanced Sentiment Classification in Indonesian Widayanti, Riya; Kasih, Fitriana Cendra
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5692

Abstract

Imbalanced data distribution is a common issue in Indonesian sentiment classification and significantly affects the performance of classification models. This study investigates three approaches, namely SMOTE combined with Support Vector Machine (SMOTE + SVM), Baseline IndoBERT, and Class-Weighted IndoBERT. The dataset consists of Google Maps reviews, which are categorized into positive, neutral, and negative sentiments. Prior to model training, the data undergo preprocessing steps including cleaning, normalization, and tokenization. Model performance is evaluated using confusion matrix analysis and macro-averaged F1-score. The results show that Baseline IndoBERT achieves a macro F1-score of 0.598, followed by Class-Weighted IndoBERT with 0.582, while SMOTE + SVM obtains the lowest performance at 0.545. Despite having slightly lower overall performance, Class-Weighted IndoBERT demonstrates a more balanced capability in recognizing minority classes. These findings indicate that incorporating class-weighting mechanisms into transformer-based models can help mitigate bias toward majority classes and improve minority class recognition. From a scientific perspective, this study provides empirical evidence on how imbalance-aware learning strategies influence the behavior of transformer-based models in imbalanced text classification tasks. Furthermore, this study highlights the importance of using macro-averaged evaluation metrics to ensure a more comprehensive and fair assessment of model performance, particularly in low-resource and imbalanced language settings.
Co-Authors Achmad Benny Mutiara Adi Widiantono Agustinus Teiretius Bebi Al-Farouqi, Kamal Arif Amal, Muhammad Fatikhul 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 Fuad, Ahmad Gerry Firmansyah Gideon Hatorangan Rajagukguk Gusti Muhamad Sardana Hani Dewi Ariessanti Harahap, Eka Purnama Harlinda Syofyan Harlis Setiyowati Hendra Bratanata Henry Zainarthur Ichwani, Arief Ida Nurlela Ita Sari Perbina Manik Jenyta Primaranti Julianingsih, Dwi Julius Jery Nolasco Kareena Futri Ramadhani Kartini . kartini, kartini Kasih, Fitriana Cendra Khaerina, Mutia Fauzi Kusuma, Farid Azhar Lestari, Gilda Nadia Vianda Lim Jong Su M Bahrul Ulum, M Bahrul Maemonah, Maemonah Malabay Malabay Maratis, Jerry Maryanti, Tatik Maulana Abbas Maulana Fajar Lazuardi Meria, Lista Mochamad Heru Riza Chakim Muhamad Yusup Muhammad Adi Zacky Zahran Muhammad Bima Aryantoro Muhammad Hadi Arfian Muhammad Rizqy Ananda 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 Rodriguez, Marta Ryan Putra Laksana Sabda Maulana Sahri Ramadan Sandy Lorent Santoso, Nesti Anggraini SARASWATI, RIA Satria Valerian Shari Sausan Raihana Putri Sawali Wahyu Setianingsih Setyowardhani, Tasya Shofiyul Millah Silva Wulandari Simorangkir, Holder Sugiyanti, Sri Dewi Suryari Purnama Sutrisno, Sutrisno Syifa Maulida Akmalia Tatik Mariyanti Taufik Maulana Thedy, Alvian Ulum, Muhamad Bahrul Untung Rahardja Vinsens Aji Pamungkas Widhy Setyowati Williams, Alexander Willson, Jett Lee Yayat, Asep Yulfitri, Alivia Yulhendri Yulhendri Yuliati Yuliati Yunita Fauzia Achmad