Article Per Year (5 Year)
p-Index From 2021 - 2026
2.495
P-Index
This Author published in this journals
All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA IKRA-ITH ABDIMAS Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Pengabdian West Science
Januponsa Dio Firizqi
Universitas Pradita
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
GOVERNANCE OF IOT DEVICES USING NODE-RED ORCHESTRATOR AND WEB-BASED DASHBOARD Atmodjo, Dwi; Harianja, Richad; Firizqi, Januponsa Dio; Kurniawan, Rido Dwi
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.1336

Abstract

High electricity bills are often caused by a lack of monitoring the use of electronic equipment in the household. One common problem is forgetting to turn off appliances that are not in use, which causes electricity to continue flowing and increases electricity bills. Currently, although there are several technologies that allow the control of appliances, their features are still limited, especially in lamps. This research focuses on developing Internet of Things (IoT) technology in the field of energy and control. One of the implementations is using a Raspberry Pi microcontroller to monitor the use of electrical energy in households. In order to make the use of IoT components more efficient and easier, a NODE-RED-based system is used which serves as a link between end users and IoT equipment. For monitoring IoT components, a web dashboard using the Laravel framework was also built. This allows users to view the components used and the activities that occur on their IoT equipment. High electricity bills are often caused by a lack of monitoring the use of electronic equipment in the household. One common problem is forgetting to turn off appliances that are not in use, which causes electricity to continue flowing and increases electricity bills. Currently, although there are several technologies that allow the control of appliances, their features are still limited, especially in lamps. This research focuses on developing Internet of Things (IoT) technology in the field of energy and control. One of the implementations is using a Raspberry Pi microcontroller to monitor the use of electrical energy in households. In order to make the use of IoT components more efficient and easier, a NODE-RED-based system is used which serves as a link between end users and IoT equipment. For monitoring IoT components, a web dashboard using the Laravel framework was also built. This allows users to view the components used and the activities that occur on their IoT equipment.
ANALYSIS AND PREDICTION OF HEALTH INSURANCE PREMIUM VALUE USING MACHINE LEARNING ALGORITHM Danica Recca Danendra; Januponsa Dio Firizqi
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 2 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i2.2775

Abstract

Rising healthcare costs and administrative complexity in the health insurance sector underscore the need for an efficient predictive model to anticipate insurance premium prices. The study explores Machine Learning (ML) techniques to predict the value of health insurance premiums. Also, it aims to provide further insights to stakeholders to create strategies in premium pricing and risk management. This study uses the Kaggle.com datasets and a boosting regression algorithm to compare the accuracy and metric evaluation results in predicting the value of insurance premiums. Feature engineering techniques are applied to improve model performance, reduce over-fitting, and interpret the model to ensure the inclusion of relevant predictors by studying the strengths and limitations of each technique. They overcome this through feature selection, model interpret-ability, scalability, and generalization. Through this comprehensive review, the results of this study aim to provide valuable insights for practitioners, researchers, and policymakers, as well as facilitate informed decision-making in the context of determining the value of health insurance premiums through the use of ML methodologies.
An Enterprise Architecture Blueprint for HL7-Based RIS–PACS Integration Using TOGAF ADM: A Mobile Diagnostic Access Framework Purnama, Wandi; Indrajit, Richardus Eko; Firizqi , Januponsa Dio
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.v10i2.15825

Abstract

The shift to digital radiology is frequently hindered by data fragmentation and restricted mobility for healthcare professionals. This research addresses these deficiencies by developing an Enterprise Architecture (EA) blueprint for hospital radiology departments using the TOGAF ADM framework. The design emphasizes HL7 standards for administrative data transfer and DICOM protocols for imaging, featuring a web-based Mobile Viewer using the WADO protocol for remote high-resolution access. Architectural validation via gap analysis demonstrates that the proposed integration can theoretically eliminate manual data entry between HIS and RIS-PACS through an HL7 broker mechanism, potentially shortening clinical report turnaround times. However, this study is limited to architectural validation and does not include live clinical deployment. The proposed architecture offers a scalable roadmap for "film-less" environments, though further longitudinal studies are required to assess long-term clinical user satisfaction.  
Orchestrating the Circular Smart Palm Ecosystem: A Design Science Research Using TOGAF-Based Enterprise Architecture Hamdani, Ibnu; Indrajit, Richardus Eko; Firizqi, Januponsa Dio
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.v10i2.15828

Abstract

The global palm oil industry is currently confronting a sustainability trilemma involving production efficiency, regulatory compliance (e.g., EUDR), and environmental circularity. Existing supply chain models are characterized by fragmented information systems, where Operational Technology (OT) remains disconnected from Enterprise IT, resulting in traceability gaps and underutilized biomass waste. This study addresses these challenges by designing a comprehensive Enterprise Architecture (EA) for a Circular Smart Palm ecosystem. Adopting a Design Science Research (DSR) methodology, the research applies the TOGAF Architecture Development Method (ADM), supported by ArchiMate 3.1 modeling, to develop an integrated architectural blueprint. The proposed architecture consolidates blockchain-enabled traceability, digital export compliance, IoT-driven bioenergy valorization, and value-added kernel processing into a unified enterprise framework. The resulting architecture is qualitatively validated through architectural consistency analysis and gap assessment between the As-Is and To-Be states. From a theoretical perspective, this study contributes to Enterprise Architecture literature by extending EA as an integrative mechanism for circular bioeconomy implementation in sustainability-driven agribusiness ecosystems. The findings demonstrate that enterprise-level architectural integration can transform sustainability compliance from an operational constraint into a strategic enabler for traceability, circular value creation, and digital governance.
Pelatihan Pemanfaatan Business Intelligence Untuk Visualisasi Data Menggunakan Tableau Pada Ekstrakurikuler Kewirausahan Di SMA Pahoa Afifah Trista Ayunda; Wahyu Tisno Atmojo; Master Edison Siregar; Hendra Mayatopani; Rido Dwi Kurniawan; Januponsa Dio Firizqi; Masriah Masriah; Qonita Azizah; Shabila Octavia
IKRA-ITH ABDIMAS Vol. 10 No. 2 (2026): IKRAITH-ABDIMAS Vol 10 No 2 Juli 2026
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikra-ithabdimas.v10i2.7194

Abstract

Teknologi visualisasi data telah menjadi bagian integral dari perkembangan bisnis modern, memungkinkan pemahaman yang lebih baik terhadap informasi yang kompleks dan mendukung pengambilan keputusan yang lebih efektif. Di era digital ini, pemanfaatan teknologi ini semakin penting, khususnya dalam konteks kewirausahaan, di mana pengelolaan dan analisis data menjadi keterampilan yang esensial. Namun, tingkat pemahaman siswa SMA terhadap konsep dan aplikasi teknologi visualisasi data dalam konteks kewirausahaan masih menjadi perhatian. Penelitian ini bertujuan untuk mengeksplorasi pemanfaatan teknologi Business Intelligence, khususnya Tableau, dalam memvisualisasikan data untuk mendukung pendidikan kewirausahaan di SMA Pahoa Tangerang. Melalui pendekatan observasi, pelatihan, dan metode kuantitatif menggunakan kuesioner untuk evaluasi, penelitian ini berupaya mengukur sejauh mana pemahaman siswa meningkat setelah pelatihan. Hasil penelitian menunjukkan bahwa penggunaan teknologi visualisasi data memberikan kontribusi signifikan terhadap pemahaman siswa, terutama dalam memanfaatkan data untuk menggambarkan informasi dalam bentuk gambar yang mudah dipahami. Hasil evaluasi menggunakan kuesioner menunjukkan skor 77,31%. Dengan demikian, penerapan teknologi visualisasi data, seperti Tableau, efektif dalam meningkatkan kompetensi siswa dalam bidang kewirausahaan dan pengelolaan data.
Co-Authors Abimanyu, Andiani Amalia, Zalfa Azzah Andrew Andrew, Andrew Aprikasari, Manda Atmodjo, Dwi Atmojo, Wahyu Tisno Ayunda, Afifah Trista Clarinda , Marcellina Aurelia Danica Recca Danendra Dazki, Erick Dwi Atmodjo Wismono Prapto Elizabeth Hiu , Jesslyn Juana Fangky Antoneus Sorongan Hamdani, Ibnu Harianja, Richad Hidayat, Nurul Masriah Masriah Master Edison Siregar Mayatopani, Hendra Panna, Ariya Pratama, Arif Purnama, Wandi Putra Setiawan, Valentinus Qonita Azizah Refgiufi Patria Avrianto Richardus Eko Indrajit Rido Dwi Kurniawan Rido Dwi Kurniawan Saiful Azhari Muhammad Shabila Octavia Subhi Basit, Muhamad Wiryaatmaja , Christopher Louis WP, Dwi Atmodjo