Article Per Year (5 Year)
p-Index From 2019 - 2024
0.882
P-Index
This Author published in this journals
All Journal Jurnal Sains Teknologi dan Lingkungan (JSTL) Jurnal Abdi Insani Jurnal SIAR ILMUWAN TANI
Andrie Ridzki Prasetyo
Program Studi Kehutanan, Fakultas Pertanian, Universitas Mataram
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Pengaplikasian Metode Finishing Ramah Lingkungan Yakisugi pada UMKM Pengolahan Kayu Desa Perina Fauzan Fahrussiam; Nurul Chaerani; Dini Lestari; Musdi; Hasyyati Shabrina; Andrie Ridzki Prasetyo; Rima Vera Ningsih
Jurnal SIAR ILMUWAN TANI Vol. 4 No. 1 (2023): Jurnal Siar Ilmuwan Tani
Publisher : Fakultas Pertanian Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jsit.v4i1.91

Abstract

Kegiatan finishing pada produk kayu menjadi faktor penting dalam rangkaian proses pengerjaannya. Selain untuk peningkatan stabilitas dan perlindungan, finishing juga dilakukan untuk meningkatakan nilai estetika. Namun demikian, kandungan bahan finishing dalam cat masih didominasi dari bahan berbasis kimia yang tidak baik untuk kesehatan maupun lingkungan. Selain itu, produk kayu yang telah difinishing menggunakan bahan kimia masih bisa diserang oleh organisme perusak dan mengalami pelapukan saat pemaparan di luar ruangan. Maka dari itu, melalui kegiatan pengabdian ini ditawarkan solusi peningkatan mutu kayu menggunakan metode yang sudah sejak lama digunakan di Jepang dalam pengawetan kayu yaitu metode yakisugi. Proses finishing yang dilakukan pada UMKM pengerjaan kayu di Desa Perina masih tergolong konvesional sehingga kualitas yang dihasilkan pun tidak maksimal, ditambah lagi dengan kualitas bahan baku yang tidak terlalu baik. Maka dari itu, kegiatan pengabdian ini bertujuan untuk menawarkan alternatif baru dalam peningkatan mutu kayu menggunakan metode yakisugi yang tidak hanya menghasilkan produk kayu bernilai estetika tinggi, namun ramah terhadap lingkungan. Kegiatan pengabdian yang telah dilakukan memberikan warna baru dalam proses finishing dibandingkan metode yang umumnya digunakan. Kegiatan ini juga membuka ide-ide baru dalam menciptakan produk perkayuan yang unik, estetik dan ramah lingkungan.
Identifikasi Sebaran Spasial dan Kerapatan Mangrove Gili Lawang menggunakan Citra Landsat 9 OLI-2/TIRS-2: Identification Gili Lawang Mangrove Spatial Distribution and Density with Landsat 9 OLI-2/TIRS-2 Imagery Andrie Ridzki Prasetyo; Niechi Valentino; Muhammad Anwar Hadi
JURNAL SAINS TEKNOLOGI & LINGKUNGAN Vol. 9 No. 2 (2023): JURNAL SAINS TEKNOLOGI & LINGKUNGAN
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jstl.v9i2.450

Abstract

Mangrove ecosystems have a great influence on the sustainability of human life and the environment. The high level of vulnerability of mangrove ecosystems has implications for the importance of quality planning. This study aims to identify the spatial distribution and density of mangrove forests in Gili Lawang using Landsat 9 OLI-2/TIRS-2 satellite imagery. Data processing is done with the help of the QGIS 3.30 application. Data processing consists of band combinations, image classification with the SVM algorithm, classification results accuracy test, NDVI value extract, and reclass NDVI. The results showed that the use of band 564 in Landsat 9 imagery visually resulted in an increase in sharpness in identifying mangrove ecosystems. Classification of objects with the SVM algorithm has overall accuracy and kappa accuracy > 80%. The identified area of Gili Lawang is 432.72 ha, consisting of 37.89 ha of mangroves, 58.11 ha of non-mangrove and 3.75 ha of water bodies. NDVI values at the study sites ranged from 0.068 to 0.87. The maximum NDVI value is found in mangrove objects, while the minimum NDVI value is found in water body objects. Mangrove density in Gili Lawang is dominated by high and very high density. The use of Landsat 9 OLI-2/TIRS-2 imagery in the future is expected to provide positive benefits in providing data and information related to natural resources.  
COMMUNICATION SKILLS: MENINGKATKAN KEBERANIAN DAN KEPERCAYAAN DIRI MAHASISWA MELALUI PELATIHAN PUBLIC SPEAKING Nurul Chaerani; Hasyyati Shabrina; Dini Lestari; Fauzan Fahrussiam; Andrie Ridzki Prasetyo; Musdi Musdi
Jurnal Abdi Insani Vol 10 No 4 (2023): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v10i4.1230

Abstract

The 4.0 revolution bring major challenges to higher education institutions in preparing curriculum relevant to demands from business, industrial, and other work-related area, to produce competent graduates. Student competencies that the working world wanted were not only hard skills but also soft skills such as adequate communication skills and public speaking skills. Nowadays, a big portion of the student body lack in confidence and courage to take part in discussion or has limited presentation skill, especially in the Forestry program University of Mataram. This problem needs to be addressed and resolved with institutional help by holding public speaking training for the students. This training was purposed to increase the courage, confidence, and skill of the students to be able to speak in front of the audience. The training processes started with a coordination process between the committee and the board of the study program, training day, and Evaluation from the participants. The participants of this training were students in the Forestry program University of Mataram from various years, and the trainers were from Fresh Radio Lombok. The training course began with a sharing session from the source person to motivate the participants and continued with a lecture about the basics of public speaking, a practice session on how to create catchy phrases for concluding occasions, sharing tips and tricks in public speaking, and ended with evaluations. The results of this training showed that this training was successful in increasing the motivation of the participants in order to elevate their ability in public speaking. The evaluation from the participants showed that the participants felt very satisfied, and rated the training process and the materials shared were very good.
Estimasi Simpanan Karbon Tegakan Menggunakan Citra Sentinel-2A Pada Kawasan Mangrove Labuan Tereng Kabupaten Lombok Barat: Estimation of Standing Carbon Stock Using Sentinel-2A Imagery in the Labuan Tereng Mangrove Area West Lombok Regency Moh Rodiansyah Hambali; Andi Chairil Ichsan; Niechi Valentino; Andrie Ridzki Prasetyo
JURNAL SAINS TEKNOLOGI & LINGKUNGAN Vol. 9 No. 4 (2023): JURNAL SAINS TEKNOLOGI & LINGKUNGAN
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jstl.v9i4.522

Abstract

The primary worry in addressing climate change problems is the elevation in global temperatures resulting from the growing levels of CO2 emissions in the atmosphere. Mangrove ecosystems contribute to the "blue carbon" plan which is capable of storing carbon well, this research was conducted to assess carbon storage within the mangrove forest ecosystem by combining Sentinel-2A satellite imagery with on-site field measurements. The data analysis findings indicate the presence of six distinct mangrove varieties, namely R. mucronata, A. marina, R. apiculata, S. alba, E. agallocha, and C. decandra. The R. mucronata type is the type that dominates the mangrove area with an average carbon amount of 122.1 tonnes/ha. Correlation analysis shows a strong relationship between IKVm and mangrove forest carbon stocks, with a correlation coefficient value of 80%. In the regression model, the power model provides the best equation for estimating carbon stocks with a coefficient of determination value of 64.4% giving a model equation of y = 109.51x1.2381. Analysis of image carbon reserves obtained the lowest value, namely 0.02-10.46 tonnes/ha which was in the very rare vegetation density type and the highest carbon reserve value was 58.30-59.02 tonnes/ha in the very high density class.
Analisis Komparatif Tutupan Mangrove Menggunakan Citra Landsat 9 dan Sentinel 2A di Desa Labuan Tereng Kabupaten Lombok Barat Andrie Ridzki Prasetyo; Niechi Valentino; Moh Rodiansyah Hambali
JURNAL SAINS TEKNOLOGI & LINGKUNGAN Vol. 10 No. 2 (2024): JURNAL SAINS TEKNOLOGI & LINGKUNGAN
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jstl.v10i2.606

Abstract

Labuan Tereng Village is a place where mangrove vegetation grows and develops. The location close to the harbor sheet makes the mangrove ecosystem damaged by port activities. High port activity can disrupt the condition of mangrove ecosystem development in Labuan Tereng Village. This study was conducted to evaluate mangrove health by looking at canopy cover or canopy density using the Hemispherical Photography method analyzed using Landsat 9 and Sentinel 2A to assess the extent of relationship between mangrove canopy cover and images. The findings revealed that the mean mangrove cover density value of 66% which is included in the medium category. Statistical analysis of several vegetation indexes with mangrove cover obtained the highest linear regression results in the SAVI model with a value of 0,41 for Landsat 9 images and 0,65 for Sentinel 2A images. The results of image data analysis on Sentinel 2A show a smaller pixel size value and contain more pixels so as to produce better and complex data analysis when compared to Landsat 9 imagery.
Co-Authors Andi Chairil Ichsan Dini Lestari Fauzan Fahrussiam Fauzan Fahrussiam Hasyyati Shabrina Moh Rodiansyah Hambali Moh Rodiansyah Hambali Muhammad Anwar Hadi Musdi Musdi Musdi Niechi Valentino Nurul Chaerani Rima Vera Ningsih