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All Journal TANJAK : Jurnal Pengabdian Kepada Masyarakat INOVTEK Polbeng - Seri Informatika
Heri Susanto
Politeknik Negeri Bengkalis
Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering

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Implementasi Penerangan Jalan Tenaga Surya di Jalan masuk Musholla H. Mis Al-Latif  Desa Senggoro Kecamatan Bengkalis Agustiawan; Zulkifli; Heri Susanto; Wahyu Hidayat; Akmalul Hakim
TANJAK : Jurnal Pengabdian Kepada Masyarakat Vol 6 No 2 (2025): TANJAK : Jurnal Pengabdian Kepada Masyarakat
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/n5fm7s61

Abstract

Musholla H.Mis Al-Latif merupakan salah satu tempat ibadah yang terletak didesa Senggoro, tepatnya Jl. Pramuka gg. Megat, Bengkalis. Kondisi jalan masuk menuju  musholla pada malam hari cukup gelap karena belum tersedianya lampu penerangan jalan,  sehingga menyulitkan Jemaah yang datang ke musholla. Untuk mengatasi permasalahan tersebut, dirancang dan dipasang sistem penerangan lampu jalan tenaga surya pada lima titik di jalan masuk musholla. Pada siang hari sistem ini mengisi daya baterai menggunakan energi matahari, sementara malam hari energi disalurkan pada beban lampu (LED). Hasil pengujian menunjukkan bahwa, lampu dapat menyala secara otomatis mulai pukul 18.30 hingga 06.00WIB. Sistem ini mampu meningkatkan kenyamanan Jemaah menuju musholla di malam hari.  
Implementation of Fuzzy Logic on Motorcycle Emission Testing Device Using Multi-Gas Sensors M. Afridon; Khairudin Syah; Marzuarman; Heri Susanto; Muhammad Arifin; M. Andrian Syindau Abdillah; M. Zaki Nawaf Ramadhan
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/w1802r28

Abstract

Manual motorcycle emission inspection often leads to inconsistent interpretation due to operator dependency. This study developed a motorcycle emission testing system using multi-gas sensors, consisting of ZE07-CO for CO, an infrared CO₂ sensor for CO₂, TGS2602 for VOC, and O₂ I2C DFRobot for oxygen concentration, integrated with an ESP32 microcontroller. Sensor data are transmitted in real-time via Bluetooth to a computer for processing and visualization on a graphical user interface. The measurement ranges were adjusted to match actual exhaust gas characteristics: CO 0–5000 ppm, CO₂ 0–50000 ppm, VOC 0–500 ppm, and O₂ 0–5%. Emission level classification was performed using the Mamdani fuzzy logic method with three triangular membership functions for each parameter and three output categories: low, medium, and dangerous. Tests on nine motorcycles showed four units classified as low emission (CO <1000 ppm; O₂ >2.4%), three as medium (CO 1100–2500 ppm; O₂ 1.5–2.0%), and two older vehicles classified as dangerous (CO >3500 ppm; VOC >350 ppm; O₂ <1%). The system successfully provides automatic and real-time emission assessment, although verification against standard emission testers and environmental compensation is required for broader practical implementation.
Co-Authors Agustiawan, Agustiawan Akmalul Hakim Khairudin Syah M. Afridon M. Andrian Syindau Abdillah M. Zaki Nawaf Ramadhan Marzuarman, Marzuarman Muhammad Arifin Wahyu Hidayat Zulkifli