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An Implementation of Project Investment Management on Blockchain-based Crowdfunding System Yan Watequlis Syaifudin; salies Apriliyant; Hein Htet; Ferdy Hanan Pradana; Yuri Ariyanto; Indrazno Siradjuddin; Pramana Yoga Saputra; Triana Fatmawati
Asian Journal Science and Engineering Vol. 3 No. 1 (2024): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v3i1.1686

Abstract

This study explores the transformative impact of blockchain technology on corporate investment management by developing an application that enhances transparency, security, and efficiency while mitigating fraud risks. By utilizing the Proof of Authority (PoA) methodology on a private blockchain network, the application enables secure, immutable transaction records and facilitates the management of investment projects along with token purchase transactions. It is structured using the Waterfall model, including essential phases such as requirements analysis and rigorous testing, which demonstrate the application’s ability to improve operational efficiency and foster accountability among stakeholders. The research highlights the role of tokenization in crowdfunding, wherein rights or assets are converted into digital tokens, enhancing transparency and liquidity. The system also integrates smart contracts to automate critical investment processes while ensuring secure user authentication and authorization. Evaluations reveal high success rates in functionality and user acceptance, though challenges such as scalability and regulatory compliance remain. Addressing these aspects is vital for maintaining the system's effectiveness and user confidence in decentralized investment management.
Pengembangan Chatbot Berbasis Framework RASA pada Website Bank Sampah Sriwilis Vista, Candra Bella; Tundjung, Mellyana; Fatmawati, Triana; Sintiya, Endah Septa
Jurnal Informatika Polinema Vol. 12 No. 2 (2026): Vol. 12 No. 2 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i2.9569

Abstract

Perkembangan teknologi informasi dalam bidang Natural Language Processing (NLP) membuka peluang pemanfaatan chatbot sebagai solusi layanan informasi berbasis website yang interaktif dan responsive di tengah keterbatasan tenaga pelayanan dan waktu operasional. Chatbot memungkinkan pengguna memperoleh informasi secara real-time tanpa keterlibatan operator manusia secara langsung, sehingga dapat meningkatkan efisiensi dan ketersediaan layanan. Penelitian ini bertujuan mengembangkan chatbot berbasis Framework Really Awesome Software Automation (RASA) pada Website Bank Sampah Sriwilis serta menganalisis pengaruh konfigurasi pipeline Natural Language Understanding (NLU) terhadap performa klasifikasi intent. Metode pengembangan sistem menggunakan model Waterfall yang meliputi tahap analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Dataset disusun dalam bahasa Indonesia, terdiri dari 9 intent dengan total 250 kalimat. Eksperimen dilakukan terhadap tiga konfigurasi pipeline, yaitu DIETClassifier sebagai model baseline, DIETClassifier dengan penambahan fitur leksikal melalui RegexFeaturizer dan LexicalSyntacticFeaturizer, serta LogisticRegressionClassifier sebagai model pembanding. Evaluasi kinerja model dilakukan menggunakan metrik accuracy, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa model berbasis DIETClassifier memberikan peningkatan performa akurasi sebesar 5% dibandingkan Logistic Regression. Konfigurasi model dengan penambahan pipeline RegexFeaturizer dan LexicalSyntacticFeaturizer menghasilkan nilai accuracy terbaik sebesar 93%, precision 93%, recall 91%, dan F1-score 91%. Dengan demikian, pemilihan konfigurasi pipeline yang tepat serta penerapan fitur tambahan berpengaruh signifikan terhadap peningkatan performa chatbot berbasis RASA pada layanan informasi Bank Sampah Sriwilis.
Media Informasi Masjid Sebagai Sarana Standarisasi Informasi Masjid Attharuf Kepada Masyarakat Cahya Rahmad; Septian Enggar Sukmana; Annisa Puspa Kirana; Moh. Zawaruddin Abdullah; Vivin Ayu Lestari; Triana Fatmawati
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 1 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i1.7466

Abstract

Mosques play a vital role as centers of worship and socio-religious activities. However, information dissemination often goes unnoticed, even when shared through messaging applications. Baital Ma'ruf Mosque in Malang Regency faces similar challenges. Therefore, a mosque information display system was implemented. This community service program aims to standardize information and make it easier for mosque administrators to update content in real-time. The results of this initiative show that 85% of congregants feel it's now easier to get information. The Baital Ma'ruf Mosque administrators have responded very positively, affirming that this mosque information system brings significant benefits to both congregants and the wider community, making it an innovative solution for the mosque's digital transformation.
Pelatihan Desain Kreatif untuk Pengembangan Landing Page Website Interaktif PRM Arbuka Septian Enggar Sukmana; Cahya Rahmad; Annisa Puspa Kirana; Moh. Zawaruddin Abdullah; Vivin Ayu Lestari; Triana Fatmawati
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 1 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i1.7467

Abstract

This Community Service Program aimed to enhance the capacity of the board members of Pimpinan Ranting Muhammadiyah (PRM) Arbuka in managing interactive information media through creative design training for the development of a website landing page. The main problem identified was the suboptimal dissemination of organizational information to members and the surrounding community, due to the limitations of previously used social media platforms and the absence of an integrated publication medium. The training activities included understanding visual design principles, user experience (UX) design, and hands-on practice in website content creation. Evaluation results indicated that 92% of participants found the training materials to be highly relevant to the organization’s needs.
An Implementation of Early Warning System for Air Condition Using IoT and Instant Messaging Alfiandi Aulia Rahmadani; Budhy Setiawan; Yan Watequlis Syaifudin; Nobuo Funabiki; Indrazno Siradjuddin; Triana Fatmawati
Journal of Evrímata: Engineering and Physics Vol. 02 No. 02, 2024
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/journalofevrmata.v2i02.61

Abstract

Air pollution poses a significant threat to human health and environmental sustainability, exacerbated by anthropogenic activities such as industrial emissions, vehicle exhaust, and fossil fuel combustion. Major pollutants include carbon monoxide (CO), nitrogen dioxide (NO2), hydrocarbons (HC), sulfur dioxide (SO2), ozone (O3), particulate matter (PM2.5), particulate matter (PM10), and etc. In this study, an Early Warning System (EWS) was developed integrating sensors, microcontroller, IEEE 802.11 network, web interface monitoring, and Instant Messaging. The system uses the CART algorithm to analyze the data, with sensors that detect CO, NO2, and HC. The evaluation of the system demonstrated its effectiveness, with recorded pollutant concentrations of 1.401 ppm for CO, 0.639 ppm for NO2, and 0.860 ppm for HC, and identified correlations between these pollutants. The EWS proved capable of providing timely alerts, ensuring continuous monitoring and management of indoor air quality, and contributing to public health and environmental protection.
Ensuring Data Integrity in Healthcare Records through Hybrid Storage and Blockchain-Backed Audit Trails Azmiansyah Azmiansyah; Yan Watequlis Syaifudin; Cahya Rahmad; Josafat Pratama Susilo; Triana Fatmawati; Yuri Ariyanto; Pramana Yoga Saputra; Indrazno Siradjuddin; Chandrasena Setiadi
Journal of Evrímata: Engineering and Physics Vol. 04 No. 01, 2026
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/journalofevrmata.vi.140

Abstract

Ensuring the integrity and auditability of Electronic Health Records (EHRs) is critical for patient safety, regulatory compliance, and trust in digital healthcare. Conventional audit mechanisms such as database logs, are inherently mutable and vulnerable to insider tampering, failing to meet stringent requirements for tamper-proof, independently verifiable data provenance. To address this, this paper proposes and implements a hybrid EHR integrity system that combines PostgreSQL for sensitive clinical data storage with a private Hyperledger Fabric blockchain for immutable audit logging. Only lightweight metadata and SHA-256 hashes of records (not full EHRs) are written to the blockchain, preserving privacy while enabling cryptographic verification. Deployed on modest, heterogeneous hardware and featuring a user-friendly web interface with batched audit workflows, the system achieves 100% tamper detection accuracy, 210 ms average write latency, and 45 TPS throughput that demonstrates feasibility for real-world, resource-constrained clinical environments. Our approach delivers strong, scalable data integrity without prohibitive overhead, bridging the gap between regulatory demands and practical healthcare IT deployment.