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All Journal Jurnal Inotera Jurnal Penelitian Hutan dan Sumber Daya Alam (PHSDA)
Dodi Syahputra
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Agriculture, Biological Sciences & Forestry Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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(STUDI POPULASI ORANGUTAN SUMATERA (PONGO ABELII) DI KAWASAN STASIUN PENELITIAN KETAMBE TAMAN NASIONAL GUNUNG LEUSER ACEH TENGGARA Dodi Syahputra; Ruskhanidar; Zakiah
Jurnal Penelitian Hutan dan Sumber Daya Alam (PHSDA) Vol 2 No 1 (2022): Jurnal Penelitian Kehutanan dan Sumber Daya Alam (PHSDA)
Publisher : LPPM STIK Pante Kulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.687 KB)

Abstract

The Ketambe Research Station is an important habitat for the Sumatran orangutan (Pongo abelli), which experiences many disturbances from the community, such as forest encroachment and illegal logging. This condition has caused 7% habitat destruction. The impact of habitat destruction has led to a decline in the orangutan population. This study aims to determine the population of Sumatran orangutans at the Ketambe research station. The study took place at the Ketambe research station, Mount Leuser National Park (TNGL) Aceh Tenggara, for three months from April to June 2021, using the purposive sampling method, and the orangutan population data collection technique using the line transect method as many as 9 (nine) transects. , placed: riverbanks, plains, ridges, and mountain peaks. Data analysis for this study used the formula d = N / 2 w L: Estimating nest density (d), number of nests (N), length of observation path (L), width of observation path (w), according to (Van Schaik, 1995) is Estimated density of each nest/species found. The observation paths are 1 km long each and the left and right are 25 m wide, the Sumatran orangutan population density found is 0.7291 Individuals/Km², with a total of 104 nests. From the total area of ​​observation 45 ha (450,000m²). Based on the results of the study, the most preferred type of meranti (hopea cernua) was the Sumatran orangutan for making nests at the ketambe research station. The most distribution of nests based on diameter size is 21-40 cm, based on nest height is at a height of 10-20 m, based on nest position is in position 1, based on nest class is in class C, and based on tree height is in class 15-25 m. Based on the results obtained, the types of trees that orangutans prefer for nesting can be used as a type of planting activity, orangutan habitat restoration.
Prototype of Fire, Gas, and Steam Pressure Detection Based on Internet of Things (Case Study: PT Agro Sinergi Nusantara) Inzar Salfikar; Faulianur, Rizki; Yhona Syela Inri; Dodi Syahputra
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID429

Abstract

This study is based on a conversation that took place during an industrial vist by Aceh Polytechnic D3 Mechatronics students at PT Agro Sinergi Nusantara (ASN), where the company does not yet have a system in place to monitor gas, steam, and fire pressure in order to reduce hazardous circumstances in the factory. A fire detection system is needed to prevent fires because palm oil factories often have processes that involve flammable materials and have the potential to cause fires. The steam pressure in the boiler of the Steam Power Plant (PLTU) system at PT ASN needs to be monitored to prevent explosions. The PLTU combustion system that utilizes palm oil pulp and empty bunches produces carbon emissions that are harmful to health. Information on carbon gas levels also needs to be known to ensure whether the surrounding conditions are dangerous. The presence of fire, gas and steam pressure needs to be monitored via a smartphone connected to the Internet network. Thus, workers do not have to be close to the machine area because monitoring is sufficient on a smartphone. The research method is a case study at PT ASN, surveys and interviews, literature studies, experiments and simulations on prototypes and data collection in the laboratory. The data used for measurement are fire and gas from matches and air pressure from the compressor. The results obtained, this prototype is able to detect fire, gas and vapor pressure. When fire is detected, pressure and gas that exceed the setting limit will trigger the alarm to activate. The presence of fire and gas and vapor pressure data can be monitored on a smartphone with a delay of 17 seconds. The average accuracy of pressure detection with arduino is 96.20% and smartphone 97.07%.
Co-Authors Faulianur, Rizki Ruskhanidar Salfikar, Inzar Yhona Syela Inri Zakiah