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All Journal Among Makarti E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Samudra Ekonomi dan Bisnis Jurnal Kridatama Sains dan Teknologi JSMA (Jurnal Sains Manajemen dan Akuntansi) Al-Kharaj: Journal of Islamic Economic and Business TECHNO-SOCIO EKONOMIKA Media Jurnal Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Indonesia Sosial Sains Journal of Business, Social and Technology JURNAL PENGABDIAN KEPADA MASYARAKAT (ADI DHARMA) Journal of Economics and Management Scienties IIJSE Jurnal Audit, Pajak, Akuntansi Publik Jurnal Ekonomi, Manajemen, Akuntansi INOVTEK Polbeng - Seri Informatika Jurnal Sistem Informasi dan Ilmu Komputer
Novi Rukhviyanti
STMIK IM
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry 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 Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Social Sciences Other

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Analisis Perencanaan Strategi Sistem Informasi Dan Teknologi Informasi Pada PT. OCT Menggunakan Metode Ward And Peppard Sudrajat Sudrajat; Santi Puspa Oktaviane; Novi Rukhviyanti
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 2 (2024): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i2.2896

Abstract

Introduction: The rapid development of Information Systems (IS) and Information Technology (IT) has influenced all business sectors. One of the business sectors that is influenced by the application of IS/IT is the manufacturing industry as carried out by the company PT.OCT. This article aims to analyze information systems strategic planning Method: using the Ward & Peppard method, there is also PESTEL, Value Chain, SWOT, CSF analysis, application mapping with McFarlan Grid, and IS analysis, this method is useful for designing appropriate information system architecture, and integrating information technology into overall business strategy . Analysis: analysis of the internal business environment using Value Chain analysis, then Porter's Five Forces analysis was chosen as the analysis of the external business environment. Conclusion: The results of the analysis show that the application of the Ward and Peppard method provides the final result which is an IS/IT strategic document that is effective in helping business processes at PT. OCT is engaged in manufacturing.
Analysis of the Effectiveness of a Music Learning Information System for Early Childhood (Golden Age) using the Technology Adoption Model (TAM) Safitri, Susan Juli; Rukhviyanti, Novi
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 2 (2026): Article Research April, 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i2.15951

Abstract

Advances in information technology have brought significant changes to the education sector, including in the learning process for early childhood. The integration of information systems into learning activities is no longer limited to administrative functions but also serves as a learning medium capable of enhancing the effectiveness of the learning process. This study aims to analyze the effectiveness of implementing a music learning information system and to examine the relationship between the quality of the information system and student learning outcomes. The research analysis framework is based on the Technology Acceptance Model developed by Fred D. Davis to explain how perceptions of ease of use and information quality influence users’ adoption of technology. This study employs a quantitative approach with a correlational design. The study population consists of students in the New Primary music program at Yamaha Forte Music Bandung, totaling approximately 800 students. The research sample was determined using purposive sampling, calculated as rxy = (nΣXY − (ΣX)(ΣY)) / √[(nΣX² − (ΣX)²)(nΣY² − (ΣY)²)], with a total of 63 students who actively supported the use of the digital learning system. Data collection was conducted via a Likert-scale questionnaire measuring three primary dimensions of the information system: usability, information quality, and learning impact. Validity was assessed using Pearson’s Product-Moment correlation, while reliability was evaluated using Cronbach’s Alpha > 0.70. The research results indicate that the effectiveness of the music learning information system falls into the “very effective” category, with an average score of 81.3%. The usability dimension received the highest score of 87.5%, followed by information quality at 84.2%, and learning impact at 81.3%. The results of the correlation analysis indicate a positive relationship between the quality of the information system and student learning behavior, such as increased practice discipline, learning motivation, and self-confidence in music.
Implementation of Event-Driven Architecture using NATS JetStream for a Large-Scale Online Exam Answer Collection System Dery Ciputra Ma’soem; Novi Rukhviyanti
Journal of Business, Social and Technology Vol. 7 No. 2 (2026): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v7i2.654

Abstract

Background: Online examination systems—even at the prototype and institutional levels—face serious performance challenges under synchronized spike conditions. This study, conducted on a prototype (Chilaedu) with 300 synthetic users, demonstrates that conventional synchronous (request-response) architecture has thread-capacity limitations that trigger gateway timeout failures, thereby undermining overall assessment system reliability. Objective: This research designs and evaluates the architectural transition toward an asynchronous Event-Driven Architecture (EDA) approach using the Go runtime and the NATS JetStream message broker on the Chilaedu e-learning platform prototype. Methods: System performance was evaluated using a load-testing scenario based on a custom testing tool developed with Go and Python to simulate synchronized spike conditions at concurrency levels of 10, 25, 50, and 100, with 300 synthetic user entities per scenario, in a single-server isolated prototype environment. Results: The test results show that the asynchronous architecture successfully maintained a throughput of 2,209 requests per second with an HTTP error rate of 0.00%. The system operated efficiently with an average memory consumption of 70 MB and a peak CPU utilization of 18.03%. Latency at the 99th percentile (p99) was recorded at 79.02 ms, which is below the feasibility threshold of 100 ms, thereby preventing user interface freezes (browser freezes). A comparison with the synchronous monolithic approach documented in previous research shows a significant increase in load-handling capacity. Conclusion: The NATS JetStream-based EDA architecture proves effective as a solution for improving the reliability and efficiency of large-scale online exam answer collection infrastructure.
IMPLEMENTASI SISTEM SEGMENTASI WILAYAH BANJIR BERBASIS DEEP LEARNING MENGGUNAKAN ARSITEKTUR U-NET (STUDI KASUS DI KOTA BANDUNG) Muhammad Fikri Alghifari; Novi Rukhviyanti
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 2 (2026): EDISI 28
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i2.7389

Abstract

Banjir merupakan bencana yang kerap melanda kawasan perkotaan seperti Kota Bandung akibat tingginya curah hujan dan keterbatasan kapasitas drainase. Metode pemetaan banjir konvensional berbasis GIS manual memiliki kelemahan dalam kecepatan pemrosesan, subjektivitas analis, dan penanganan data berskala besar. Penelitian ini bertujuan membangun sistem segmentasi banjir berbasis deep learning menggunakan arsitektur U-Net dengan encoder ResNet34. Dataset yang digunakan merupakan kombinasi citra satelit dan citra udara (drone) yang telah dilabeli, terdiri atas 464 citra pelatihan dan 240 citra pengujian. Model dilatih menggunakan optimizer Adam (learning rate 0,0001), loss function BCE-Dice, batch size 16, dan maksimal 50 epoch dengan mekanisme early stopping. Sistem diimplementasikan sebagai REST API berbasis Flask Python untuk mendukung penggunaan secara real-time. Hasil pengujian menunjukkan nilai mean Intersection over Union (mIoU) sebesar 82,1% dengan waktu inferensi rata-rata 2 detik per citra, meningkat 59.900% dibandingkan metode GIS manual. Pengujian kualitas perangkat lunak menggunakan standar ISO/IEC 25010:2011 mencatat tingkat kelulusan fungsional 95,1% (78 dari 82 test case). Sistem ini mampu menghasilkan peta wilayah terdampak secara cepat dan otomatis guna mendukung prioritas evakuasi, distribusi bantuan, dan perencanaan mitigasi bencana.
Sistem Analitik Umpan Balik YouTube Berbasis Big Data dan Generative AI: Big Data-Based YouTube Feedback Analytics Architecture with Generative AI Integration Asro, Asro; Rukhviyanti, Novi
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 2 (2026): MALCOM April 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i2.2626

Abstract

Perkembangan media sosial menghasilkan data opini pengguna dalam jumlah besar dan tidak terstruktur, khususnya pada platform YouTube. Komentar pengguna mengandung informasi penting mengenai persepsi terhadap produk digital, namun analisis manual masih menjadi kendala. Penelitian ini bertujuan mengembangkan arsitektur sistem analitik umpan balik berbasis Big Data yang mengintegrasikan analisis sentimen dan Generative Artificial Intelligence (AI) dalam satu pipeline end-to-end. Sebanyak 10.625 komentar dikumpulkan melalui YouTube Data API dan disimpan dalam MongoDB. Proses analisis menggunakan kerangka CRISP-DM dengan preprocessing teks dan representasi fitur TF-IDF. Klasifikasi sentimen dibandingkan menggunakan Logistic Regression, Support Vector Machine (SVM), dan Random Forest, dengan pengujian SMOTE pada data latih. Hasil menunjukkan bahwa SVM tanpa SMOTE memberikan performa terbaik dengan akurasi 83,97% dan F1-macro 80,29%. Integrasi Generative AI memungkinkan peringkasan isu dominan serta penyusunan rekomendasi perbaikan secara otomatis. Sistem yang dikembangkan mendukung pengambilan keputusan berbasis data secara lebih efisien.
Strategi UMKM Gorengan dalam Mempengaruhi Keputusan Konsumen dengan Peran Citra Merek, Layanan, dan Kepercayaan Konsumen di Kota Bandung Ani Sulastri; Novi Rukhviyanti
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 5 No. 4: Mei 2026
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v5i4.16604

Abstract

Abstract: Di tengah pergerakan ekonomi mikro yang ada di Kota Bandung, UMKM gorengan hadir bukan sekadar sebagai penyedia pangan sederhana, tetapi sebagai entitas bisnis yang bersaing dalam ruang persepsi dan kepercayaan konsumen. Penelitian ini bertujuan untuk menganalisis peran citra merek, kualitas layanan, dan kepercayaan konsumen dalam memengaruhi keputusan konsumen dalam memilih produk gorengan. Pendekatan kuantitatif digunakan dengan teknik non-probability sampling melalui metode purposive sampling, sehingga 79 orang responden yang terlibat sebagai sampel merupakan konsumen yang memiliki pengalaman langsung dalam melakukan pembelian. Analisis data dilakukan menggunakan pendekatan Partial Least Squares (PLS) untuk menguji hubungan antar variabel secara simultan dan parsial. Hasil penelitian menunjukkan bahwa secara simultan, citra merek, kualitas layanan, dan kepercayaan konsumen memiliki pengaruh terhadap keputusan konsumen. Namun, secara parsial, citra merek tidak menunjukkan peran yang signifikan dalam membentuk keputusan tersebut. Sebaliknya, kualitas layanan dan kepercayaan konsumen terbukti memiliki pengaruh yang signifikan, mencerminkan bahwa interaksi langsung dan rasa aman menjadi fondasi utama dalam perilaku pembelian pada UMKM gorengan. Temuan ini mengisyaratkan bahwa usaha mikro yang sederhana namun kompetitif, kekuatan hubungan emosional dan pengalaman layanan lebih dominan dibandingkan sekadar persepsi merek. Pelaku UMKM perlu menitikberatkan pada peningkatan kualitas interaksi layanan serta membangun kepercayaan yang berkelanjutan guna memperkuat keputusan pembelian konsumen.
A Influence Digital Marketing And Brand Awerness To Decision Purchase Ultrajaya UHT Milk at Minimarket X in Bandung City joni; Novi Rukhviyanti
Al-Kharaj: Journal of Islamic Economic and Business Vol. 8 No. 1 (2026): All articles in this issue include authors from 3 countries of origin (Indonesi
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/kharaj.v8i1.8787

Abstract

Digital transformation has changed the marketing strategies of the fast-food consumer goods industry, particularly UHT milk, which faces intense competition in the Indonesian market. This study aims to analyze the influence of digital marketing and brand awareness on purchasing decisions for Ultrajaya UHT milk at Minimarket X in Bandung City. Methods research using approach quantitative explanatory with A survey technique was used to select 95 consumer respondents through purposive sampling. The research instrument was a structured questionnaire with a Likert scale that had been tested for validity and reliability. Data analysis used multiple linear regression with the help of SPSS software version 29. Results Partial tests show that Digital Marketing has a significant positive effect on purchasing decisions, as does Brand Awareness. show influence positive significant to Decision purchase. The simultaneous test results showed that both variables had a significant effect together, explaining 62.5 percent of the variation in purchasing decisions. This finding confirms that integrating digital marketing strategies and strengthening brand awareness are crucial factors in improving consumer purchasing decisions in the UHT milk industry in the digital era.
Co-Authors Achmad Azhari Achmad Pahrul Rodji Adinda, Putri Ambarwati Ambarwati Ani Sulastri Asro Asro Charisma Sasmita, Bella Dery Ciputra Ma’soem Eviliana, Devita Ferdiansyah, Rafli Fikky Sherlinadya Hariandy Hasbi HENDRA GUNAWAN B11211055 joni Lilis Suharti Linna Ismawati, Linna M, Diana Muhammad Fikri Alghifari Muhammad Furqon Muharom, Ahmad Nia Kurniati Nugraha, Bayu Wiguna Nur Hayati Nur Hayati Pruyudo, Bayu Pryatama, Daffa Nazza Putra, Kurniawan Rachmat Agus Santoso Rafli Ferdiansyah Safitri, Susan Juli Santi Puspa Oktaviane Sepryhatin Dioputra Sudrajat sudrajat Supriadi, Untung Tambunan, Fransisco Wanviano Daniel Widaningsih, Nona Windiyanti, Noni