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Pengaruh Penambahan Serbuk Kayu Jati terhadap Campuran Aspal Porous Salim; Muhammad Iqbal; Nur Cholifah
Jurnal Teknik Sipil MACCA Vol 5 No 1 (2020): Jurnal Teknik Sipil MACCA Februari 2020
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.097 KB) | DOI: 10.33096/jtsm.v5i1.15

Abstract

Jalan merupakan prasarana transportasi yang terpenting dalam menunjang kegiatan perekonomian setempat sehingga harus tahan dan awet terhadap kondisi perubahan cuaca. Salah satu jenis perkerasan jalan pada lapisan aus atau penutup adalah aspal porous. Aspal porous merupakan campuran beraspal panas dengan persentase agregat kasar yang besar, persentase agregat halus yang kecil, sehingga menyediakan rongga udara yang besar. Penelitian ini bertujuan untuk mengetahui pengaruh penambahan serbuk kayu jati terhadap campuran aspal porous. Dengan pemanfaatan serbuk kayu jati sebagai bahan tambah diharapkan dapat menghasilkan perpaduan yang baik antara agregat kasar, agregat halus dan aspal. Kadar aspal rencana yang digunakan yaitu 4,0%,4,5%, 5,0%, 5,5%, dan 6,0%. Pengujian awal untuk mendapatkan kadar aspal optimum (KAO) dan pengujian selanjutnya dengan alat Marshall Test, cantabro loss, binder drain down, permeabilitas.. KAO yang digunakan yaitu 5,25% dan kadar filler yaitu 0,2%, 0,4%, 0,6%, 0,8%, dan 1,0%. Dari hasil pengujian Marshall Test, penggunaan serbuk kayu jati terhadap campuran aspal porous memenuhi spesifikasi karakteristik campuran aspal porous. Pada variasi kadar serbuk 1% terjadi koefisien permeabilitas yang tinggi menunjukkan tingkat penyaluran air ke drainase melambat,karena serbuk meresap air tidak menyalurkan seluruhnya ke drainase.
Dampak Berkendara di Bawah Umur terhadap Kejadian Kecelakaan Lalu Lintas pada Remaja di Indonesia Sutrisno Syarifuddin; Mustakim Mahmud; M. Ibnu Sumarna; Muhammad Iqbal; Muh. Reza Zulfikar
LEGALITAS : Jurnal Ilmiah Ilmu Hukum Vol 11, No 1 (2026)
Publisher : Universitas 17 Agustus 1945 Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31293/lg.v11i1.9419

Abstract

Traffic accidents (laka lantas) are a major safety issue in Indonesia, particularly those involving teenagers and minors as motorcyclists. This study aims to analyze the impact of driving without a driver's license (SIM) for those under 17 years of age on accident rates, casualties, and legal and social aspects. The methods used were literature study and secondary data analysis from the Indonesian National Police (Polri), Korlantas (Traffic Corps), and other official sources. The results show that in the first semester of 2025 alone, there were 133,811 child and adolescent drivers under 17 years of age involved in traffic accidents. The main factors include human error (high speed, not wearing a helmet, showing off skills), lack of parental supervision, and low risk awareness. The impacts include fatalities, serious/minor injuries, material losses, psychological trauma, and legal burdens for perpetrators and their families. This study recommends strengthening early road safety education, strict law enforcement, and the active role of parents and schools. Conclusion: Underage driving is not only a violation of Law No. 22 of 2009, but also has the potential to damage the future of the younger generation.
An IoT-Based Precision Hydroponic Monitoring System and Long-Term Characterization of Low-Cost Temperature Sensor Drift Dedy Atmajaya; Abdullah Basalamah; Nia Kurniati; Muhammad Iqbal; Thalita Sherly Putri Jasmin
Indonesian Journal of Data and Science Vol. 7 No. 2 (2026): Indonesian Journal of Data and Science
Publisher : Yocto Brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v7i2.456

Abstract

Introduction: Temperature monitoring is critical in hydroponic cultivation because it influences nutrient solubility, dissolved oxygen, and root uptake, yet low-cost digital sensors commonly used in Internet of Things (IoT) systems may experience accuracy degradation during long-term deployment. This study develops a low-cost IoT monitoring platform for nutrient film technique (NFT) hydroponics and characterizes temperature-sensor drift under continuous operating conditions. Method: The system employed two redundant temperature sensors in the nutrient channel and one ambient sensor, with measurements timestamped, filtered, stored locally at the edge, and visualized through a cloud dashboard. Temperature data were recorded hourly for 40 days, producing 960 observations per sensor. Drift was evaluated from the deviation between the primary and redundant channel sensors using mean absolute error, maximum absolute deviation, standard deviation, drift onset, and estimated drift rate. Results and Discussion: The primary sensor showed a mean absolute deviation of 0.82 °C over the full monitoring period and a maximum deviation of 1.47 °C. Sensor agreement remained close during the first 10 days but diverged after approximately day 12, with late-period MAE increasing to 1.18 °C and an estimated drift rate of about 0.04 °C/day. Conclusion: Long-term drift in low-cost temperature sensors can materially affect hydroponic monitoring accuracy, and redundant sensing provides a practical baseline for future adaptive edge-based calibration methods.