Profiling of various dry Cannabis sativa from Aceh, Indonesia, based on cannabinoids spectroscopy characteristics

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Abstract Background Cannabis, which is a psychoactive plant, refers to the leaves, flowers, stems, and seeds. Cannabis is used globally for its psychoactive properties, with 2.5% of the world's population consuming it for recreational purposes. But in Indonesia, the plant is classified as a Class 1 narcotic, with a prevalence of use reaching 41.4%. Aceh is one of the largest cannabis-producing regions in Indonesia due to its favorable geographical and climatic conditions. Despite its illegal status, cannabis contains valuable phytocannabinoid compounds and is potentially important in medical applications. Previous studies have shown a correlation between the compound profile of cannabis and its geographical origin. This study aims to develop a classification method based on the cannabinoids compound profiles of dried cannabis samples taken from five regions in Aceh (Aceh Besar, Aceh Tengah, Bireuen, Lhokseumawe, and Pidie Jaya) by microscopy, Raman spectrophotometry, GC–MS, and parametric statistical analysis to assist authorities in tracing the source of cannabis for law enforcement and forensic purposes. Results In this study, dried Cannabis sativa from five regions of Aceh, Indonesia, was tested with Raman spectroscopy and GC–MS to produce informative cannabinoid compound profiles as plant profiling. The results obtained 10 cannabinoids quantified in plant samples (Δ9-THC, CBD, THCV, CBL, CBTC, Methoxy-THC, CBC, CBG, Δ9-THCH, and CBN). The cannabinoids compound profile showed Δ9-THC had the highest overall content and was indicated as the most important compound in the cannabis plant clustering profile. Among the various regions, Aceh Besar had the highest cannabis content. Statistical analysis of Raman spectroscopy and GC–MS data found (1) revealed compounds responsible for clustering cultivars between clusters, (2) variation among cannabis chemical profiles as a result of growing environment, and (3) facilitated prediction of cannabis profiles in helping to categorise regions of unknown cannabis origin based on chemical profiles. Conclusion Raman spectroscopy and GC–MS have proven reliable and efficient methods for classifying Cannabis sativa based on its cannabinoid profile in Aceh, Indonesia. The findings help reveal the geographical origin of the growing location of cannabis plant specimens. All five cannabis samples contained a major Δ9-THC psychoactive constituent. The highest Δ9-THC content comes from AB due to the influence of environmental factors. Parametric test analysis concluded that there was no significant effect of geographical origin related to the relatively close distance range of samples. Additionally, comparing these methods with other analytical techniques will support defined classification models and improve their application in forensic science, particularly in drug enforcement and quality assessment.

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  • Preprint Article
  • 10.21203/rs.3.rs-6186729/v1
Profiling of Various Dry Cannabis Sativa From Aceh, Indonesia Based on Cannabinoids Compound Characteristics
  • Apr 2, 2025
  • Supiyani Supiyani + 3 more

Background Cannabis, which is a narcotic plant, refers to the leaves, flowers, stems, and seeds. Cannabis is used globally for its psychoactive properties with 2.5% of the world's population consuming it for. In Indonesia, the plant is classified as a Class 1 narcotic with a prevalence of use reaching 41.4%. Aceh is one of the largest cannabis producing regions in Indonesia, due to its favorable geographical and climatic conditions. Despite its illegal status, cannabis contains valuable phytocannabinoid compounds and is potentially important in medical applications. Previous studies have shown a correlation between the compound profile of cannabis and its geographical origin. This study aims to develop a classification method based on the cannabinoids compound profiles of dried cannabis samples taken from five regions in Aceh (Aceh Besar, Aceh Tengah, Bireuen, Lhokseumawe, and Pidie Jaya), by microscopy, raman spectrophotometry, GC-MS, and parametric statistical analysis to assist authorities in tracing the source of cannabis for law enforcement and forensic purposes. Results In this study, dried Cannabis sativa from five regions of Aceh, Indonesia, was tested with Raman spectroscopy and GC-MS to produce informative cannabinoid compound profiles as plant profiling. The results obtained 10 cannabinoids quantified in plant samples (Δ9-THC, CBD, THCV, CBL, CBTC, Methoxy-THC, CBC, CBG, Δ9-THCH, and CBN). The cannabinoids compound profile showed Δ9-THC had the highest overall content and was indicated as the most important compound in the cannabis plant clustering profile. Among the various regions, Aceh Besar had the highest cannabis content. Statistical analysis of Raman spectroscopy and GC-MS data found (1) revealed compounds responsible for clustering cultivars between clusters, (2) variation among cannabis chemical profiles as a result of growing environment, and (3) facilitated prediction of cannabis profiles in helping to categorize regions of unknown cannabis origin based on chemical profiles. Conclusion Raman spectroscopy and GC-MS have proven reliable and efficient methods for classifying Cannabis sativa based on its cannabinoid profile in Aceh, Indonesia. The findings help reveal the geographical origin of the growing location of cannabis plant specimens. All five cannabis samples contained a major Δ9-THC psychoactive constituent. The highest Δ9-THC content comes from AB due to the influence of environmental factors. Parametric test analysis concluded that there was no significant effect of geog raphical origin related to the relatively close distance range of samples. Additionally, comparing these methods with other analytical techniques will support defined classification models and improve their application in forensic science, particularly in drug enforcement and quality assessment.

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Uji Kelayakan Perangkat Pembelajaran Model Inkuiri Berbasis Kearifan Lokal Aceh Besar pada Materi Sistem Pencernaan dan Nutrisi Seimbang di Kelas V SD/MI
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  • Research Article
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Income Inequality Between Districts and Their Impact on Poverty in Aceh Province
  • Feb 11, 2023
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The problem of income inequality and poverty is a key issue that is always associated with economic development, both in developed and developing countries. Eliminating poverty and reducing economic inequality are absolutely necessary in order to realize social welfare. If the government does not actively intervene in economic activities, then economic activities will be regulated by market mechanisms and then have a negative impact on further development, namely the widening of the welfare gap from time to time between rich and poor areas as a result of the economic activities of richer areas. smoothly compared to poor areas. Aceh is one of the regions, regions or parts of the Republic of Indonesia. In 2013 the Province of Aceh was divided into 18 districts and 5 cities, consisting of 284 sub-districts, 755 mukim and 6,450 gampong or villages with an area of Aceh Province of 5,677,081 ha and a population of 4,597,308 people (BPS Aceh, 2013). The Central Statistics Agency (BPS, 2021) noted that there were 834.24 thousand poor people in Aceh in March 2021, an increase of 0.04 percent compared to September 2020 of 833.91 thousand people. However, the poverty rate in Aceh has decreased from 10.43 percent in September 2020 to 10.33 percent in March 2021. In detail, the poverty rate in rural Aceh has decreased from 17.96 percent in September 2020 to 17.78 percent in March 2021. Meanwhile, the urban poverty rate in Aceh will increase from 10.31 percent in September 2020 to 10.46 percent in March 2021. This research was conducted in all districts and cities in Aceh Province starting from Simeulue, Aceh Singkil, South Aceh, Southeast Aceh, East Aceh, Central Aceh, West Aceh, Great Aceh, Pidie, Bireuen, North Aceh, Southwest Aceh, Gayo lues, Aceh Tamiang, Nagan Raya, Aceh Jaya, Banda Aceh, Sabang, Langsa, Lhokseumawe, Bener merry, Pidie Jaya and Subulussalam. To see income inequality between districts in Aceh Province, the variable is limited to income per capita and the population of each district is analyzed from the 2010-2020 period. The data used is secondary data, obtained from the Aceh Province Central Statistics Agency, BAPPEDA Aceh and a number of reports and literature especially from several offices and related agencies. The model used to see the direction of development inequality is the Williamson Coefficient Formula. Regional development is considered evenly distributed if the Williamson Coefficient is equal to zero or close to zero. Vice versa, development inequality will occur if the coefficient value is further away from zero. Of the 23 regencies/cities in Aceh Province, the most evenly distributed income per capita with a Williamson coefficient value below 0.05 is Aceh Singkil, South Aceh, Sabang, Langsa, Subulussalam, Aceh Tamiang, Nagan Raya, Bener Meriah, Gayo Lues, Central Aceh. , West Aceh, Aceh Besar, Bireuen and Southwest Aceh District. The second order for districts/cities with a fairly even level of income distribution and having a Williamson coefficient value between 0.05-0.09 is Simeulue, Southeast Aceh, Pidie, North Aceh, Aceh Jaya and Pidie Jaya districts. The third order for districts/cities with an uneven level of income distribution and having a Williamson coefficient value above 0.10 is East Aceh District, Lhokseumawe City and Banda Aceh City. It turns out that the income inequality that occurs increases the level of poverty that occurs in Aceh Province. It is hoped that local governments can identify all the potential resources contained in their respective regions and then explore them to increase the Gross Regional Domestic Product, so that in turn it can increase per capita income itself and will reduce the number of poor people. For further research, it is expected to be able to add economic growth variables to see the link between inequality and economic growth itself in Aceh Province

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FACTOR DETERMINATION ANALYSIS OF FARMER’S ASSETS AFTER THE TSUNAMI IN ACEH
  • Dec 1, 2017
  • Jurnal Aplikasi Manajemen
  • Adhiana Adhiana + 1 more

Limitations of access and loss of various life assets caused by tsunami and conflicts in Aceh faced by farmers have influenced their survival. The purpose of this research is to analyze the model of factor determination of farmer’s assets after the-tsunami in Aceh. This study was conducted in Aceh Province covering five areas: Aceh Barat, Aceh Besar, Pidie Jaya, Bireun and Aceh Utara. The total sample for this study was 280 farmers. Sampling method used is stratified random sampling method. This research used primary data obtained by survey using questionnaire and secondary data. Data was analyzed by using qualitative and quantitative method with Structural Equation Modeling model is by measurement model. Model 2 is used as the final model for the construct of the farmer’s living assets as it demonstrates good model compatibility. It also indicates that all loading factor values are above 0.5 and all probability values are significant at a = 1%. It indicated that all indicators can explain the existing constructs.

  • Research Article
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Indigenous knowledge of postnatal mother care using plants by acehnese
  • Nov 1, 2019
  • IOP Conference Series: Earth and Environmental Science
  • Zumaidar + 3 more

Acehnese is one of ethnic of seven others (Gayo, Alas, Aneuk Jamee, Kluet, Singkil, Tamiang, Simeulu) who are in Aceh Province. Indigenous knowledge is a cultural heritage that can function as a conservation effort on biological resources. Postnatal mother care is one of the cultures of the Acehnese people. The aim of this research is to obtain information about postnatal mother care by the Acehnese. The method was Participatory Rural Appraisal (PRA) and observation techniques by purposive respondents (midwives (makblien), postnatal mothers, and mothers aged ⩾45 y). The data werecollected in six districts of Aceh Province (Banda Aceh, Aceh Besar, Pidie, Pidie Jaya, Bireun, and Aceh Jaya). The results showed that there were three to seven treatments in postnatal mother care, including body massage, herbal remedies for stomach appliances, hot stone (tőetbatee), fog treatment (salee), herb body scrub (param), bathing herb, and herb pills. The herb pillswere the most popular treatment and used many plants than the others. Otherwise, fog treatment wasnot popular in postnatal mother care. Aceh Besar district could be predicted to conserve local knowledge and medicinal plant than the others.

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