We found the phenomenon of human−primate conflict (HPC) in the Kalisalak Forest, Central Java, Indonesia. This location is also known locally as the research site of the Kalisalak Study Site or Kalisalak Grand Forest Park (KGFP) and is used for religious activities by local ethnicities. The research site is used for pilgrimages every Suro Month in the Islamic calendar. Based on the history adopted from the local people, the macaques already existed in the colonial period of the Dutch East Indies. We interviewed "caretakers", mentioning that there are about 75 to 100 long-tailed macaques, but an unusual phenomenon occurs in HPC. According to local people, this conflict is in the form of crop-raiding, expressing agonistic behaviour such as grimacing and chasing visitors. However, when we repeated observations for one month, there was no conflict between long-tailed macaques and humans. The recorded population is still one large group. Besides, to conserve long-tailed macaques and minimize the incidence of HPC, further research is needed to be related to the management of primates by considering the location of the grand forest park type as well as secondary forest types, with the main commodity of the community being forest products.
Forensics has become an essential part of the disclosure of criminal evidence. A bioinformatics approach in the form of DNA forensics and digital forensics can be a good combination in disclosing digital-based criminal evidence. This study explains how the role of bioinformatics through the digital approach can be a means of forming new approaches in integration with digital forensics, called cyber-bioinformatics. Despite many hopes and challenges ahead, it does not rule out the possibility of criminal cases related to the privacy of human genomic data, so it proposes a new hypothesis, “cyber-bioinformatics.” The role of cyber-bioinformatics is very central in this regard.
The Covid-19 pandemic has impacted the use of electrical energy in households. There have been reports of changes in electrical energy consumption before and during the Covid-19 pandemic in several countries. This study aims to review the daily behavior activities and demographic profile of Indonesia's population regarding rising electricity bills during the Covid-19 pandemic through the Structural Equation Modeling-Partial Least Square (SEM-PLS) approach. The research method uses the Structural Equation Modeling-Partial Least Square (SEM-PLS) approach. A total of 137 respondents are assumed to have experienced the impact of rising electricity bills during the Covid-19 pandemic in Indonesia. This study proposes four hypotheses to be tested through the SEM-PLS approach. A total of two hypotheses were accepted, and two hypotheses were rejected. Hypothesis H1 (p-value < 0.05) so that H1 is obtained or there is a relationship between daily behavioral activities and increased electricity bills. Hypothesis H3 (p-value < 0.05) so that H3 is accepted or a connection between the respondent's profile and the increase in electricity bills. Meanwhile, additional devices that require electric power and the number of electric pulses purchased have no relationship to the rise in electricity bills during the Covid-19 pandemic in Indonesia.
Student organizations (ormawa, in Indonesian) exist today. Besides improving soft skills competence outside the campus environment, ormawa can be a place to enhance character education. One of the external campus organizations among students to fight for energy in Indonesia is the Student Energy Council (DEM). DEM comes with the educational background of its multidisciplinary and multicultural members to fight for the noble values of the nation. DEM can be a forum for students to contribute to “Indonesia Golden 2045”.
This research aims to analyze the diversity of weeds species in rubber plants at Perkebunan Nusantara Company, Ciamis, Indonesia. We used the survey method with line transects sampling. Weed diversity in rubber plantations was analyzed using Shannon-Wiener Index (H'), while the evenness of plants was analyzed using the Evenness Index (E'). The research results showed that 38 species from 18 weed families were found. The weed species with the highest number is Ischaemum timorense (IVI = 36.71%) as a dominant species, while the weed species with the lowest number of individuals was Cyrtococcum patens (IVI = 0.48%). Weed diversity in rubber plants has an H' = 4.66; its higher diversity value indicates a more stable community in this area.
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