Article Per Year (5 Year)
p-Index From 2021 - 2026
4.309
P-Index
This Author published in this journals
All Journal ELKHA : Jurnal Teknik Elektro International Journal of Artificial Intelligence Research JURIKOM (Jurnal Riset Komputer) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Informasi dan Teknologi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA Infotek : Jurnal Informatika dan Teknologi KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Information Technology (JIfoTech) World Psychology DEVOTE: Jurnal Pengabdian Masyarakat Global Eastasouth Journal of Effective Community Services Jurnal Pengabdian West Science At-Tasyrih: Jurnal Pendidikan dan Hukum Islam West Science Interdisciplinary Studies West Science Interdisciplinary Studies West Science Nature and Technology Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal Markcount Finance
Gogor Christmass Setyawan
Universitas Kristen Immanuel
Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 27 Documents
Search

 1   2   3 
Perancangan Sistem Early Warning Kebakaran F-GUARD Menggunakan Decision-Level Sensor Fusion Berbasis Mikrokontroler ESP8266 Kearifan Yopimar; Gogor Christmass Setyawan; Agustinus Rudatyo Himamunanto
TIN: Terapan Informatika Nusantara Vol 7 No 2 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i2.10650

Abstract

Domestic fire is a fatal disaster threat that requires a responsive and reliable early detection system to minimize material losses. This research focuses on the design of the F-GUARD fire early warning system which uses a decision-level sensor fusion approach based on the NodeMCU ESP8266 microcontroller. This system integrates the MLX90614 contactless temperature sensor for precision thermal radiation detection, the MQ-2 smoke sensor, and the Infrared Flame Sensor to detect the presence of fire directly. The novelty of this research lies in the implementation of a single exponential smoothing algorithm to dampen noise in temperature data and a hold time mechanism for 15 seconds on the smoke sensor to eliminate chattering and false alarms. Environmental data is processed in real-time and visualized on an OLED screen, with buzzer actuator management based on non-blocking execution. The system transmits telemetry data to a cloud database every 5 seconds and sends instant emergency notifications via Telegram Bot. The main contribution of this research is the integration of the single exponential smoothing algorithm and hold time mechanism which successfully increased fire detection accuracy to 95% and reduced false alarms by up to 80% compared to conventional systems. Test results show that this multi-sensor integration with digital filtering logic is able to detect fire with an accuracy level of 95% and the average system response speed from detection to notification delivery is recorded at 2.5 seconds. Thus, F-GUARD is proven effective in providing more reliable, stable, and adaptive fire mitigation management for modern household environment protection needs.
Rancang Bangun Robot 4WD Kendali Jarak Jauh Berbasis Arduino Uno dan RF24L01+PA/LNA Tessy Ocharina Br Pinem; Gogor Christmass Setyawan; Haeni Budiati
TIN: Terapan Informatika Nusantara Vol 6 No 11 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i11.9592

Abstract

Remote-controlled robots often face challenges related to communication stability and limited signal range. This study aims to design and develop a 4WD (Four Wheel Drive) robot based on Arduino Uno using NRF24L01+PA/LNA wireless communication and to evaluate system performance in terms of control responsiveness and communication reliability. The research method includes system design, hardware and software implementation, and performance testing under various distance conditions. The evaluated parameters include response time, data transmission success rate, and maximum communication range. The results show that the system achieves a communication success rate of 100% at 1 meter, 99% at 10 meters, and 96% at 50 meters. At the maximum distance of 200 meters, the system maintains a success rate of 75%. The response time is relatively low, enabling real-time control performance. This study contributes to the evaluation of NRF24L01 wireless communication performance in a 4WD robot system for remote control applications.
The Impact of IoT and Production Tracking Systems on Delivery Timeliness in the Electronics Industry in Tangerang City Ajub Ajulian ZM; Enda Wista Sinuraya; Karnoto Karnoto; Gogor Christmass Setyawan
West Science Interdisciplinary Studies Vol. 4 No. 02 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i02.2646

Abstract

The rapid adoption of Industry 4.0 technologies has encouraged manufacturing companies to integrate Internet of Things (IoT) solutions and production tracking systems to improve operational performance and delivery reliability. This study aims to analyze the impact of IoT implementation and production tracking systems on delivery timeliness in the electronics industry in Tangerang City. A quantitative research approach was applied using survey data collected from 150 employees involved in production and logistics activities. Data were measured using a five-point Likert scale and analyzed through Structural Equation Modeling–Partial Least Squares (SEM-PLS 3) to evaluate both measurement and structural models. The results indicate that IoT implementation has a positive and significant effect on delivery timeliness by enabling real-time monitoring and faster operational coordination. Production tracking systems also show a strong positive influence by improving scheduling accuracy, workflow visibility, and decision-making processes. Furthermore, the integration of IoT and production tracking technologies contributes to better supply chain responsiveness and reduced delivery delays. These findings highlight the strategic role of digital monitoring systems in enhancing manufacturing performance and meeting customer delivery expectations. This study provides empirical insights for practitioners and contributes to the growing literature on smart manufacturing and technology-driven operational efficiency in Indonesia’s electronics sector.
The Impact of IoT and Production Tracking Systems on Delivery Timeliness in the Electronics Industry in Tangerang City Ajub Ajulian ZM; Enda Wista Sinuraya; Karnoto Karnoto; Gogor Christmass Setyawan
West Science Interdisciplinary Studies Vol. 4 No. 02 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i02.2646

Abstract

The rapid adoption of Industry 4.0 technologies has encouraged manufacturing companies to integrate Internet of Things (IoT) solutions and production tracking systems to improve operational performance and delivery reliability. This study aims to analyze the impact of IoT implementation and production tracking systems on delivery timeliness in the electronics industry in Tangerang City. A quantitative research approach was applied using survey data collected from 150 employees involved in production and logistics activities. Data were measured using a five-point Likert scale and analyzed through Structural Equation Modeling–Partial Least Squares (SEM-PLS 3) to evaluate both measurement and structural models. The results indicate that IoT implementation has a positive and significant effect on delivery timeliness by enabling real-time monitoring and faster operational coordination. Production tracking systems also show a strong positive influence by improving scheduling accuracy, workflow visibility, and decision-making processes. Furthermore, the integration of IoT and production tracking technologies contributes to better supply chain responsiveness and reduced delivery delays. These findings highlight the strategic role of digital monitoring systems in enhancing manufacturing performance and meeting customer delivery expectations. This study provides empirical insights for practitioners and contributes to the growing literature on smart manufacturing and technology-driven operational efficiency in Indonesia’s electronics sector.
Rancang Bangun Pemantauan Ketinggian Air Multi-Sensor Berbasis Raspberry Pi Pico dengan Notifikasi WhatsApp Juheldin Zalukhu; Gogor Christmass Setyawan; Kristian Juri Damai Lase
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 15, No 3 (2026): Juni 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i3.3684

Abstract

Measurable water level monitoring is important for various environmental and industrial needs. This study aims to design a prototype of an Internet of Things (IoT)-based water level monitoring system using a miniature river model. The system utilizes a Raspberry Pi Pico as the main processing unit, integrated with a pressure sensor, a float switch, and a Time-of-Flight (ToF) sensor to maintain measurement stability and data redundancy. Testing was conducted in a controlled environment by simulating changes in water levels. The results show that the multi-sensor system is capable of detecting water levels with a low error rate in real time. The ToF sensor produces distance measurements that demonstrate stable performance, while the pressure sensor and float switch consistently validate the water level thresholds. The developed prototype is capable of providing monitoring data and warnings adequately, thereby having the potential to serve as a basis for further development of automated monitoring systems.Keywords: Water Level Monitoring, Raspberry Pi Pico, ToF Sensor, Internet of Things, Prototype.AbstrakPemantauan ketinggian air yang terukur penting untuk berbagai kebutuhan lingkungan dan industri. Penelitian ini bertujuan merancang purwarupa sistem pemantauan ketinggian air berbasis Internet of Things (IoT) menggunakan model miniatur sungai. Sistem menggunakan Raspberry Pi Pico sebagai unit pemroses utama yang terintegrasi dengan sensor tekanan, float switch, dan sensor Time-of-Flight (ToF) untuk menjaga stabilitas pengukuran dan redundansi data. Pengujian dilakukan pada lingkungan terkendali dengan mensimulasikan perubahan ketinggian air. Hasil penelitian menunjukkan bahwa sistem multi-sensor mampu mendeteksi level air dengan tingkat error rendah dan real-time. Sensor ToF menghasilkan pengukuran jarak yang menunjukkan performa stabil, sedangkan sensor tekanan dan float switch secara konsisten memvalidasi batas ketinggian air. Purwarupa yang dikembangkan mampu menyediakan data pemantauan dan peringatan secara memadai sehingga berpotensi menjadi dasar pengembangan sistem pemantauan otomatis yang lebih lanjut. 
Big Data Analytics for Corporate Financial Decision-Making: Evidence from ASEAN Capital Markets Gogor Christmass Setyawan; Rina Farah; Rashid Rahman; Ii Sopiandi
Journal Markcount Finance Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmf.v3i2.2493

Abstract

The increasing availability and complexity of big data have revolutionized decision-making in various sectors, including corporate finance. In the context of ASEAN capital markets, companies are facing pressure to adopt data-driven strategies to enhance their financial decision-making processes. Big data analytics offers the potential to improve the accuracy of predictions, optimize investment strategies, and manage risks more effectively. This study aims to explore the impact of big data analytics on corporate financial decision-making in ASEAN capital markets, focusing on how organizations utilize data-driven insights to enhance decision-making efficiency and profitability. The research employs a mixed-methods approach, combining quantitative analysis of financial data from publicly listed companies in ASEAN with qualitative interviews from financial executives. The results indicate a positive relationship between big data analytics adoption and improved financial decision-making, particularly in areas of market forecasting, risk management, and asset allocation. Companies that have integrated big data analytics into their financial strategies report better performance in terms of profitability and shareholder value. The study concludes that big data analytics can significantly enhance corporate financial decision-making in ASEAN markets, offering a competitive edge in a rapidly evolving global economy.
Design and Implementation of Voice Control System for Mecanum Robot Using Whisper and Albert Pipeline on Raspberry Pi Platform Setyawan, Gogor Christmass; Setyawan, Leonard Joseph
ELKHA Vol. 18 No.1 April 2026
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v18i1.102212

Abstract

This study presents the design and implementation of a fully embedded offline voice control system for a Mecanum wheel robot integrating Whisper-based automatic speech recognition and ALBERT-based natural language understanding on a Raspberry Pi 4 platform. The proposed system supports parameterized motion commands with numerical value and unit extraction, enabling precise kinematic mapping without reliance on cloud services. The voice processing pipeline consists of audio acquisition, preprocessing, voice activity detection, speech transcription, intent classification, parameter extraction, kinematic transformation, and motor actuation. The system was trained on a custom dataset of 500 Indonesian navigation command samples spoken by five native speakers and evaluated on a separate test set of 200 commands. Experimental results demonstrate command recognition accuracy exceeding 95 percent and word error rates below 7.5 percent under moderate noise conditions. The system achieved an average end-to-end latency of 1.23 seconds. Motion execution errors remained below 5 percent within optimal parameter ranges, demonstrating sufficient precision for navigation tasks. Environmental robustness and reliability testing confirm stable performance in typical indoor environments. These results indicate that transformer-based speech and language models can be effectively deployed on resource-constrained embedded robotic platforms to enable practical real-time human–robot interaction. Specifically, the system addresses latency and privacy concerns associated with cloud-dependent solutions. The implementation demonstrates feasibility for educational and light industrial applications requiring offline capability.
Co-Authors Agus Riyadi Agustinus Rudatyo Himamunanto Agustinus Rudatyo Himamunanto Ajub Ajulian ZM Ama, Marniati Triningsi Tamo Amri Amri Ardian Al Hidayat ARIEF BUDI PRATOMO arjang arjang Artanty, Ary BACHTIAR, LASMAN EDDY Dahlan Abdullah Dedi Gunawan Saputra Desri A.F. Waruwu Dimas Sasongko Edy Winarno Elvina Safitri Enda Wista Sinuraya Endang Fatmawati Ferdinand Salomo Leuwpl Guilin, Xie Haeni Budiati Halawa, Beny Wirahmat Hanifah Nurul Muthmainah Harniati Harniati Hulu, Antonius Jonathan Hulu, Faris Anwarman Hutajulu, Johansen Ii Sopiandi, Ii Indah Kusuma Dewi, Indah Kusuma Jatmika Jatmika Jatmika Jeperson Hutahaean Jeperson Hutahaean Jiao, Deng Joni Wilson Sitopu Juheldin Zalukhu Karnoto Karnoto Kearifan Yopimar Kraugusteeliana Kristian Juri Damai Lase Kristiono, Natal Lase, Kristian J.D. Legito . Leonard Joseph Setyawan Liefson Jacobus, Liefson Maya Putri Nawansari Nofirman Nofirman, Nofirman P.Hurit, Lud Gerdus Rashid Rahman Rifky Lana Rahardian Rina Farah Safitri, Elvina Saludin Saludin Saputra Adiwijaya Setyawan, Leonard Joseph SILAEN, KARINA Sitorus, Lamhot Surjawirawan Dwiputranto Susi Yusrianti, Susi Tessy Ocharina Br Pinem Wibowo, Gentur Wahyu Nyipto Yaaman Nazara Yovita Yovita