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PENERAPAN PASAL 5 AYAT (1) Undang-Undang NOMOR 8 TAHUN 2010 TENTANG TINDAK PIDANA PENCUCIAN UANG TERHADAP NOTARIS YANG MELAKUKAN PENCUCIAN UANG Budiman, Maman
LITIGASI Vol. 24 No. 2 (2023)
Publisher : Faculty of Law, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/litigasi.v24i2.9966

Abstract

The act of money laundering committed by a Notary begins with a conspiracy with his client. The conspiracy is due to alleged criminal acts such as corruption. The problems in this paper are the factors that cause Notaries to commit money laundering, whether Article 5 Paragraph (1) of Law Number 8, 2010 can be applied to Notaries who commit money laundering and the obstacles faced by law enforcement officials when processing Notaries who commit such offense. The research in this paper uses normative legal methods by examining document studies, using various secondary data such as laws and regulations, court decisions that have permanent legal force, legal theories, and expert opinions. The analysis is qualitative. The factors that cause the Notary to do this are intentional to protect the assets of their clients, the lifestyle of Notaries who want to get instant wealth through illegal means. The imposition of Article 5 Paragraph (1) of Law Number 8 of 2010 against a Notary who is suspected of committing the crime of money laundering requires proof of its origin and the obstacles faced by law enforcement officials in processing Notaries who commit the crime of money laundering. Keywords: Notary, Criminal Act, Money Laundering.
Development of groundwater level sensor for internet of things-based peatland fire monitoring Abdul Muid; Nina Siti Aminah; Maman Budiman; Mitra Djamal
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i2.pp915-926

Abstract

Monitoring groundwater levels in peatlands is crucial for mitigating forest and land fires, which frequently occur in tropical regions. Current peatland groundwater level monitoring systems generally have limitations in their sensing range. Additionally, the lack of electricity and internet infrastructure around the monitoring sites presents another challenge. To address these issues, in this study, we developed a groundwater level sensor based on a float integrated with an optocoupler as a rotary encoder to monitor changes in water levels in real-time. The system is connected to an internet of things (IoT) platform through a LoRa communication module, powered by solar panels, enabling continuous wireless data transmission over a large range. To overcome the sensing range limitation, we developed a rotary encoder with a pulley driven by a long rope. Testing was conducted using transparent pipes with varying water levels to evaluate the sensor's performance. Experimental results showed that the sensor could measure water levels with a resolution of ±3.33 mm. This research provides a technique for measuring groundwater levels with an extended measurement range. Additionally, it produces a peatland fire risk monitoring system based on groundwater level parameters. It is expected can support peatland fire mitigation efforts more efficiently and effectively.
Analysis comparison, calibration, and application of low-cost soil moisture in smart agriculture based on internet of things Beny Agustirandi; Inayatul Inayah; Nina Siti Aminah; Maman Budiman
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 5: October 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i5.25703

Abstract

The gravimetric method is one of the most accurate for determining soil water content (SWC). Several low-cost sensors have been developed to simplify measuring water content in soil by measuring soil moisture. However, the sensor must be calibrated to determine soil moisture parameters accurately. In this research, comparative analysis, and calibration of resistive and capacitive low-cost sensors were carried out. The calibration method for each sensor uses the gravimetric water content (GWC) and volumetric water content (VWC) methods. Measuring changes in SWC using sensors is performed in real time based on internet of things (IoT). Based on the measurements of the capacitive, resistive type 1, and resistive type 2 sensors with three repetitions, the linear regression R2 values were obtained at 0.980, 0.827, and 0.942, respectively. Furthermore, a stability test is carried out to see how stable the sensor is when making measurements over a long period. The result is that the capacitive, resistive type 1, and resistive type 2 sensors have errors 1.971×10-4, 7.001×10-4, and 6.270×10-4. Based on the results obtained, capacitive sensors have the highest level of accuracy and stability. Furthermore, capacitive sensors are applied to IoT-based agriculture with long range (LoRa) as communication data.