Pertimbangan Putusan Hakim Perkara Harta Bersama di Pengadilan Agama Tembilahan

This research was motivated by the decision of the Tembilahan Religious Court judges who decided the joint property case in which the judge decided the Plaintiff (husband) got 1/4 while the Defendant (wife) got 3/4 of the shared property. However, Article 97 in the Compilation of Islamic Law states that: "Widows or widowers are each entitled to half of the joint property as long as it is not stipulated otherwise in the marriage agreement." This research is in the form of library research using case No.0233/Pdt.G/2018/PA.Tbh, as the primary reference, while the secondary material in this paper consists of laws and regulations related to the object of the research decision No. 0233/Pdt.G/2018/PA.Tbh as well as books, journals, scientific works related to the object of research. The author's data collection technique uses interview techniques and study documents or library materials. The results of the verdict research are in accordance with the judge in deciding the case based on Legal Certainty (legal certainty) and Legal Justice (legal justice), legal certainty is what has been outlined by the laws and regulations, Compilation of Islamic Law, like this case according to legal certainty then the distribution it is the wife gets 1/2 and the husband also gets 1/2 then if only this which is applied rigidly in the case will reduce the values of justice itself, thus the judge in determining the joint property case uses Legal Justice.

Social Media Analytics

Social media is a broad spectrum of process like data collection, data storage into databases and preparation of data which is utilized for research, decision making, marketing campaign with the aid of various tools and algorithms to measure the performance of a product. Analyzing social media to collect data and planning strategy around them has become one of the major business activity. Topics covered in this papers would be applications and impact of social media, challenges faced while retrieving data and preparing data for business intelligence, it also mentions some tools and algorithm.

Prioritizing Community in Research Decision-Making Through Partnership

In behavioral intervention research, taking a community-based participatory research approach enhances recruitment and retention while facilitating the transfer of research findings into social change. Successes with recruitment and retention are secondary to enacting fundamental principles of trust, reciprocity, cultural humility, empowerment, and respect. This presentation will describe a longitudinal clinical trial in a Southwest borderlands community, Oyendo Bien. The study was co-developed and implemented with community partnership throughout the research process. Dyads were recruited to participate in a community-delivered group education and support program addressing hearing loss for Spanish-speakers age 50+ years (n=132 participants randomized). We highlight the critical role that community health workers (promotoras) held as members of the research team. Furthermore, we describe an innovative approach for language mediation that integrates and empowers community participation. This presentation will include examples of lessons learned from the community in collaborating to conduct research in a way that truly serves.

Social Media Based Decision Support Model To Solve Indonesian Waste Management Problem: An Improved Version

Twitter is a commonly used social media and can sometimes picture an entire situation especially environmental issues like waste management. Machine learning and sentiment analysis tools have also been used in many cases around the world and has produced useful results to assist decision making models. In this research Decision Support Model (DSM) and Sentiment Analysis with the help of Naïve Bayes Theorem was used to analyze the waste management case in Indonesia and find out how much improvement is needed in the current situation. The research has found that severe improvements in all of the 5 aspects analyzed is needed to elevate the waste management quality to the next level, especially with a low overall score of 45.29.

The Value of Systematic Evidence Synthesis in Forestry, Land Use and Development to Improve Research, Decision-Making and Practice

Despite well-established procedures for using systematic evidence-informed approaches to policy and practice in fields as diverse as medicine, crime and justice, education, and conservation, the uptake of these rigorous methods of synthesising relevant literature has been disappointingly slow in forestry and related fields. This may be due to: general lack of understanding of, or misconceptions about, systematic evidence synthesis; a belief that the method is inappropriate for the “messy” world of forestry and land-use; a dislike of the protocol-driven approach that underpins systematic evidence synthesis; the rigorous approach is beyond the resources of time and funding available for a given topic review; systematic reviews can only be undertaken by a narrow “elite”; or a combination of these. The current Special Issue of Forests brings together a range of papers that demonstrate that systematic evidence synthesis is appropriate for forestry and land-use policy and practice, and that the method is evolving to embrace new ideas that fit with the core tenets of comprehensiveness, transparency, and procedural objectivity.

Counter-Hegemonic Decision Premises in Commons-Based Peer Production: A Degrowth Case Study

Capitalism is evidently the main cause of ecological degradation, climate change and social inequality. Degrowth as a counter-hegemony opposes the capitalist imperatives of economic growth and capital accumulation and radically seeks to transform society towards sustainability. This has strong political economic implications. Economic organisations and modes of production are essential in overcoming capitalist hegemony. This article investigates two commons-based peer production (CBPP) organisations in a qualitative case study by asking how they could align with degrowth counter-hegemony to help overcome capitalism. Social systems theory is used as an organisational lens to empirically research decision premises and their degrowth counter-hegemonic alignment. The results show that this alignment is possible in relatively small organisations. However, to help degrowth succeed, CBPP needs to be more widely adopted, for which larger organisations seem better equipped. Future studies focusing on the concept of scaling wide in CBPP networks in the context of degrowth counter-hegemony are suggested.

Research as usual in humanitarian settings? Equalising power in academic-NGO research partnerships through co-production

Background Research partnerships in conflict-affected and humanitarian settings can reveal complex power hierarchies between academics and NGOs. During the process of research, decision-making may skew in favour of more powerful actors, who often direct the scope of the research, hold the budget and lead the analysis. Co-production is increasingly emerging as a helpful approach that attempts to equalise power dynamics during research. The aim of this paper is to draw attention to the main challenges associated with a “research as usual” approach to research partnerships in humanitarian settings, as power hierarchies may be particularly magnified in these settings. Methods This paper is based on a comprehensive literature review and 32 semi-structured interviews with academics and practitioners from non-government organisations. Participants were selected purposively based on their experience in co-producing research or working within research partnerships. Some participants had worked in humanitarian settings while others had experience co-producing research in non-humanitarian contexts. We used Nvivo to thematically code data. Results This paper documents the problems with “research as usual” partnerships in humanitarian settings, specifically: the burden on communities as merely sources of data, certain forms of knowledge being valued over others, lack of reflection on the power hierarchies structuring research partnerships, top-down decision-making and lack of transparency, one-way “capacity-building”, lack of mutual benefit, and rigid research processes and timeframes. Conclusion This paper highlights key challenges with standard research practices in humanitarian settings and identifies seven key principles of co-production that can be helpful in attempting to equalise power dynamics within research partnerships, specifically in conflict-affected and humanitarian settings.

Discovering Knowledge and Cognitive Based Drivers for SMEs Internationalization

Internationalisation begins with companies’ decision to enter global markets to develop knowledge and experience as key competitive factors in the global economy, which has been the subject of much empirical research. Decision-making, knowledge management, and effective internationalisation have become key strategic tools for all companies, especially for small- and medium-sized enterprises (SMEs). This study wants to provide a framework for SMEs internationalisation based on the real options theory, (ROT) as a knowledge driver method. For this purpose, the effective factors for internationalisation were identified by reviewing the literature on the subject and the internal and external backgrounds of the subject. Then, main and sub-factors were prioritised by the fuzzy analytic hierarchy process (AHP) method. The statistical population consisted of senior managers, business managers of SMEs in Isfahan, Iran, who were eligible to enter this study. Twenty-six experts participated in this study by judgmental non-random sampling method. A fuzzy AHP questionnaire was prepared in the form of 19 sub-factors and 7 main factors. The components of each factor in each group were also ranked by experts, and their weights were obtained. Next, according to the ROT strategies which have 5 options, an alignment matrix was used to align the factors affecting the decision with the strategies. After answering the research question, the option that had a higher mode was considered AS; then, this score was multiplied by the weight obtained in the previous step and the TAS was obtained. Finally, strategies were classified as appropriate, need further investigation, and inappropriate.