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All Journal Djtechno: Jurnal Teknologi Informasi Jurnal Pengabdian Pancasila (JPP) Indonesian Journal of Applied and Industrial Sciences (ESA)
Ahir Yugo Nugroho
universitas dharmawangsa
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences Other

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RANCANG BANGUN SISTEM KENDALI LAMPU OTOMATIS BERBASIS INTERNET OF THINGS (IOT) Zaskia Gusvalia; Amru Yasir; Ahir Yugo Nugroho
Djtechno: Jurnal Teknologi Informasi Vol 7, No 2 (2026): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v7i2.9301

Abstract

The rapid development of Internet of Things (IoT) technology has created significant opportunities in home automation, particularly in lighting systems. This research aims to design and implement an automatic lamp control system based on IoT, which can be operated via smartphone using the Blynk application. The system employs an ESP32 microcontroller as the central controller, a Light Dependent Resistor (LDR) sensor to detect light intensity, and an ACS712 current sensor to measure electrical consumption. A relay module is used to switch the lamp on or off according to commands from the ESP32, enabling both manual and automatic control depending on environmental conditions. The research methodology includes literature review, observation of conventional lighting systems, and direct experimentation through hardware and software design. The results show that the system successfully adjusts lighting automatically based on ambient light intensity while also providing real-time energy consumption data through the Blynk application. Therefore, this system not only improves energy efficiency but also enhances convenience, safety, and user comfort in controlling household lighting remotely. 
Empowering Job Seekers through the Release of a Freely Accessible Web-Based Automatic Resume Builder Application Adnan Buyung Nasution; Ahir Yugo Nugroho; Risman Risman; Ramadani Ramadani; Frans Ikorasaki; Ria Eka Sari
Jurnal Pengabdian Pancasila (JPP) Vol. 5 No. 2 (2026): June 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpp.v5i2.19

Abstract

The ability to create a professional Curriculum Vitae (CV) is a crucial factor in job-seeking success, especially for new graduates. However, access to quality CV-creation tools is often hindered by subscription fees or limited features in free versions. As a form of community service, the author developed and published CVPro Builder — a web-based automatic CV generator application that can be freely accessed by all members of society without requiring account registration. The application is built using HTML5, CSS3, and plain JavaScript, and deployed on the Railway platform at the public URL https://cvdigital-production.up.railway.app/. Key features include a multi-section input form (profile, work experience, education, skills, languages, and certifications), real-time CV preview, color theme selection, profile photo upload, and direct export to print-quality PDF. The interface design employs a two-column layout with a colored sidebar and white content area, producing a professional appearance comparable to paid templates. With full accessibility at no cost and without installation, CVPro Builder is expected to make a tangible contribution to improving the employability of Indonesians, particularly new graduates entering the workforce.
Knowledge Graph Integration to Improve Reliability and Quality of Maintenance Data in the Oil and Gas Processing Industry Adnan Buyung Nasution; Ahir Yugo Nugroho; Deny Adhar; Risman Risman; Ramadani Ramadani
Indonesian Journal of Applied and Industrial Sciences (ESA) Vol. 5 No. 4 (2026): July 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/esa.v5i4.20

Abstract

Data quality and reliability are fundamental challenges in asset maintenance management in the oil and gas processing industry, where equipment data is scattered across dozens of heterogeneous operational tables, including SAP notifications, work orders, pipe inspections, corrosion monitoring results, and metering data. This data fragmentation makes it difficult to trace relationships between entities, identify anomalies, and perform consistent cross-validation. This study proposes a Knowledge Graph (KG) integration approach as a data representation layer that connects equipment entities as central nodes with child nodes from monitoring tables through typed relationships. Implementation is carried out through the development of a Graph Manager component based on Flask and D3.js that synchronizes data from a PostgreSQL relational database to a Neo4j graph database on a scheduled basis. Evaluation is carried out on three aspects of data reliability, namely referential consistency, attribute completeness, and timeliness of data updates, before and after the implementation of the KG. Test results in a production environment show significant improvements in equipment tag inconsistency detection, decreased equipment history search time, and increased semantic search accuracy when the KG is combined with embedding vector (pgvector)-based search. This study concludes that the graph approach provides a real contribution to data governance and operational reliability of maintenance systems.
Co-Authors Adnan Buyung Nasution Deny Adhar Frans Ikorasaki Ramadani Ramadani Ramadani Ramadani Ria Eka Sari Risman Risman Risman Risman Yasir, Amru Zaskia Gusvalia