p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Elemen GOTAVA
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Sosialisasi Undang - Undang Nomor 7 Tahun 2021 Tentang Harmonisasi Peraturan Perpajakan Pada UMKM di Wilayah Sambiroto Semarang Apip, Apip; Muid, Dul; Ekaristi, Clara; Firdaus, Sukma
GOTAVA Vol. 2 No. 1 (2024): GOTAVA
Publisher : Yayasan Sumber Daya Manusia Cerdas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59891/jpmgotava.v2i1.17

Abstract

This community service activity aims to socialize the law on harmonization of tax regulations to Micro, Small and Medium Enterprises (MSMEs) in Sambiroto Village, Semarang City. Through an empowerment and mentoring approach, this program aims to increase tax understanding and awareness for MSMEs, especially regarding new tax regulations. Activity methods include site surveys, preparation for visits, discussions and outreach regarding tax provisions for MSMEs. The survey results show that further socialization is still needed regarding Law number 7 of 2021 concerning Harmonization of Tax Regulations, especially regarding taxable and non-taxable income for MSMEs. In its implementation, this program received a positive response from the community with good participation from MSME owners. They feel helped by new knowledge regarding tax regulations, but also hope for further assistance activities in preparing financial reports. Thus, it can be concluded that this program has succeeded in increasing public understanding, especially MSMEs, regarding tax regulations. The positive response from the community shows that needs have been met and hopes for further support in terms of tax assistance and socialization.
RANCANG BANGUN SISTEM IDENTIFIKASI KELELAHAN BERDASARKAN DRIVING BEHAVIOUR Firdaus, Sukma; Artika, Kurnia Dwi
ELEMEN : JURNAL TEKNIK MESIN Vol. 12 No. 2 (2025)
Publisher : POLITALA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/je.v12i2.184

Abstract

Driver fatigue is a major crash factor, yet camera/physiology methods face cost, privacy, and calibration barriers. This paper presents an embedded, noninvasive system using four OBD-II PIDs—speed (0x0D), RPM (0x0C), throttle (0x11), and engine load (0x04)—polled in real time via ELM327 on Jetson Orin. Engineering values (Phys_) and raw ECU payloads (RAW_) are logged for DoCAN/ISO-TP auditing. The real-world dataset contains 51.80 h (5 drivers, 10 sessions, 2 contexts) at 2 Hz, labeled by KSS and mapped to a continuous fatigue score. Decoding fidelity is high (r≥0.9996, MAE<0.25). From 60 s/10 s windows we extract instability features (SD, 0.05–0.3 Hz corrective-oscillation bandpower). Wilcoxon exact tests show significant shifts at high fatigue (p≤0.001953). Cluster-robust regression improves R² 0.266→0.716; LODO reduces RMSE 0.198→0.122 and raises prediction correlation 0.525→0.823. Findings match reduced vigilance and sensorimotor control stability under fatigue. This supports 4-PID OBD-II as a low-cost edge fatigue-warning modality.