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All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Jurnal Riset Informatika Jurnal Teknologi Informasi dan Multimedia Jurnal Teknik Informatika (JUTIF) Jurnal Abdi Masyarakat Indonesia Journal of Education Research INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY I-PHILANTHROPY: A Research Journal on Management of Zakat and Waqf Metris: Jurnal Sains dan Teknologi Jurnal Pengabdian Digital dan Rekayasa Informatika (JARDIRA)
Ramadhan, Ardiansyah
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Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Implementation of Sustainable Lighting Through Community Involvement to Support Clean and Affordable Energy in Puri Cikoneng Indah Housing, Bojongsoang District, Bandung Regency Septiawan , Reza Rendian; Ramadhan, Ardiansyah; Dinimaharawati , Ashri; Prayoga , Galang Adira
JARDIRA – Jurnal Pengabdian Digital dan Rekayasa Informatika Vol. 2, No. 1, January 2026
Publisher : CogniSpectra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65917/jardira.v2i1.56

Abstract

Background: Inadequate environmental lighting in residential areas can increase safety risks and reduce community comfort, particularly during nighttime activities. This community service program was conducted in the Puri Cikoneng Indah Residential Area to address limited public lighting through the implementation of a sustainable solar-powered lighting system. The program aimed to improve environmental safety, support clean energy utilization, and empower the local community in managing renewable energy technologies. Contribution: The contribution of this program lies in providing a renewable energy–based lighting solution that enhances nighttime visibility and security while increasing community awareness of clean energy practices. In addition, the activity serves as a practical and replicable model for neighborhood-scale renewable energy implementation. Method:  A community-based approach was employed by actively involving residents throughout all stages of the program. The implementation process included field surveys, identification of lighting needs, system design, socialization and technical education, installation of solar-powered lighting components, and monitoring and evaluation to ensure system functionality and sustainability. Results: The results showed that an integrated solar-powered lighting system was successfully installed and operated independently from the conventional electrical grid. The residential environment became brighter and safer at night, and residents demonstrated improved understanding of the basic operation and maintenance of solar energy systems. Conclusion: Overall, the program achieved its objectives by improving environmental safety, promoting clean energy adoption, and strengthening community participation, thereby contributing to sustainable development at the local level.
A SEASONAL IMPUTATION METHOD FOR ADDRESSING MISSING DATA IN ENVIRONMENTAL IOT SENSOR TIME SERIES Ramadhan, Ardiansyah; Nasution, Surya Micrandi; Septiawan, Reza Rendian; Trisnawan, I Kadek Nuary; Afinda, Angel Metanosa
Jurnal Riset Informatika Vol. 8 No. 2 (2026): Maret 2026
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v8i2.475

Abstract

Missing and incomplete observations in Environmental IoT sensor networks reduce data reliability and disrupt analyses, especially for temperature and humidity time series exhibiting strong diurnal seasonality. This study develops and evaluates a seasonal imputation method to address missing data in IoT-based environmental monitoring, using a workflow of anomaly detection, outlier removal, time-of-day-aware imputation, and performance evaluation under varying missing-rate scenarios. Key challenges include sensor noise, connectivity issues, and intermittent hardware failures, which degrade data integrity and affect trend analysis, forecasting, and anomaly detection. To mitigate these, the method uses hourly and minute-level seasonal patterns after filtering out physically unrealistic values. Experimental results show high accuracy and robustness in reconstructing temperature and humidity data: temperature imputation achieves MAE values of approximately 0.86–0.87°C, and humidity yields MAE values of 3.92–4.01%RH, with no performance drop even at 50% data loss. The imputed series preserves natural diurnal dynamics without introducing distortions, effectively restoring continuity and structural consistency in environmental IoT time series for reliable modeling, feature extraction, and decision support.
Co-Authors Achdan, Fikri Afinda, Angel Metanosa Akhmad Farroh Hasan Andre Suwardana Adiwidya Aries Tanti, Dyah Aritsugi, Masayoshi Azis, Aaz Muhmmad Hafidz Aziz, Azrina Abd Baskoro Wicaksono, Baskoro Burhanudin, Zainal Arid Daulay, Muhammad Agil Syaifullah Dinimaharawati , Ashri FANDI ACHMAD Fauzi Hasibuan, Fauzi Firdaus, Muhammad Naufal Indra Chandra indrawati, asri Jumhur, Helni Murtiarsih Mandra Saragih, Mandra Mulyantini, Agustien Nasution, Surya Micrandi Ngayomi, Sri Nivadirrokhman, Dhanendra Nur, Fathan Ananta Prayoga , Galang Adira Putra, Rafly Fasha Purnomo R. Yunendah Nur Fu’adah Rahmi Rasyid, Tazlila Reza Rendian Septiawan Rievaldo , Dandy Rizqi Mubarok, Lutfhi Septiawan , Reza Rendian Trisnawan, I Kadek Nuary Wiwiek Setyawati Zuhri, Hamdan Syaifuddin Zulkarnain, Ibnu