The whitespotted grouper Epinephelus coeruleopunctatus is one of the commercial marine fish species occurred in the coastal waters of Padang city, Indonesia. The population of the whitespotted grouper has been declining over last decade. Unfortunately, there was a lack of information on the biology of this species was available. Hence, the objectives of the present research were to examine the length-weight relationships and condition factors of the whitespotted grouper harvested from coastal waters of Padang city, Indonesia. The fish sampling was carried out from April to October 2013. The fish samples were weighed for total body weight and measured for total length. The result showed that the male grouper has W = (3.1538 10-5) L 2.8613 , while the female has W= (3.8617 10-5) L 2.8384. Both sexes male and female displayed the negative growth pattern. The condition factor both male and female were tend 100, indicate a balance of prey and predator.

This paper investigates the role of PLS financing and non-PLS financing of Islamic banks in supporting the real sector for the case of Indonesia using monthly data from January 2009 to December 2018. Applying the ARDL approach to model their long-run and short-run relations, we find positive contribution of the PLS financing scheme to Indonesia's economic growth. Comparing the PLS and non-PLS financing, we note that the PLS financing has a larger impact on growth, both in the long run and short run. Accordingly, for Islamic finance to have larger growth impact, concrete steps and initiatives must be put in place to increase Islamic financing based on PLS arrangements.

Purpose The potential of waqf is so great in Indonesia but has not been optimized. This paper aims to offer a model for waqf institutions to adopt financial technology for developing productive and social waqf. The authors cunduct an assesment of the Technology Acceptance Model (TAM3), Unified Theory of Acceptance and Use of Technology (UTAUT2) in seeing to the crowdfunders’ behavior. Design/methodology/approach This study adopted a structural equation using the partial least square approach to test the hypotheses. Based on purposive sampling, the spread of questionnaires through online surveys throughout Indonesia consists of all islands. A total of 297 respondents collected the questionnaires. Findings Based on the findings, acceptance models have a positive and significant impact on the behavioral intentions of crowdfunders, while Unified Theory of Acceptance and Use of Technology have no significant effect. Research limitations/implications The sample of this study involved potential crowdfunders from all over the islands in Indonesia, but these results cannot be generalized because of limitations in terms of the sampling technique used. However, the results of this study can be used as an illustration of how crowdfunders behave in donating money using financial technology. Practical implications The results of this study provide a comprehensive perspective for policymakers, especially the Indonesian Waqf Board as the waqf authority that regulates waqf nazir to improve quality by adopting crowdfunding financial technology in collecting waqf funds. In addition, in terms of implications for the government, this waqf crowdfunding model will reduce spending and increase economic growth. Originality/value To the best of the authors’ knowledge, this paper is the first in looking at the waqf crowdfunding in Indonesia by looking at two reliable technology determinant models. Studies on cash waqf in Indonesia are many, but they do not look at the issue of crowdfunding, which has gained more attention recently. This paper aims to fill this gap, and this becomes the novelty.

West Pasaman District and Agam District are filariasis-endemic areas in West Sumatra with prevalence of 12.40 per 100,000 cases and 11.27 per 100,000 cases respectively. This study aimed to determine risk factors associated with the prevalence of filariasis and mapping the vulnerability of the area in West Sumatra. A case control study design was conducted in the West Pasaman District and Agam District. The study used a sample of 74 cases and 74 controls taken by simple random sampling for the case and purposive random sampling for control. Data analysis used univariate, bivariate, multivariate and spatial. The results in Agam District showed that variables associated relation with filariasis (p value < 0.05) were the level of knowledge, plantations, the paddy, the ceiling of the house. The most dominant risk factor was knowledge. Type of vector that was found was Culex. While in West Pasaman District, the variable associated with filariasis (p value < 0.05) was the use of mosquito nets, the habit of dressing, marshes, and ceiling. The most dominant risk factor was the ceiling of the house. Keywords: Filariasis, geographic information system, risk, vulnerabilities AbstrakKabupaten Pasaman Barat dan Kabupaten Agam adalah daerah endemis filariasis di Sumatra Barat dengan prevalensi masing-masing 12,40 per 100.000 kasus dan 11,27 per 100.000 kasus. Penelitian ini bertujuan untuk mengetahui faktor risiko yang terkait dengan prevalensi filariasis dan pemetaan kerentanan daerah di Sumatra Barat. Desain studi kasus kontrol dilakukan di Pasaman Barat dan Agam. Penelitian ini menggunakan sampel dari 74 kasus dan 74 kontrol, diambil secara simple random sampling untuk kasus dan purposive random sampling untuk kontrol. Analisis data menggunakan univariat, bivariat, multivariat dan spasial. Hasil penelitian di Kabupaten Agam menunjukkan bahwa variabel yang berhubungan dengan filariasis (nilai p < 0,05) adalah tingkat pengetahuan, perkebunan, padi, plafon rumah. Faktor risiko yang paling dominan adalah pengetahuan. Jenis vektor yang ditemukan adalah Culex. Sedangkan di Kabupaten Pasaman Barat, variabel hubungan dengan filariasis (nilai p < 0,05) adalah penggunaan kelambu, kebiasaan berpakaian, rawa-rawa, plafon rumah. Faktor risiko yang paling dominan adalah plafon rumah.

The problem of poverty is a classic problem that occurs in every country, both developed countries and developing countries like Indonesia. In every country, there are many programs carried out by the government to overcome the problem of poverty, one of which is the RASKIN program carried out by the Indonesian government. The method used to complete this research is SMARTER (Simple Multi Attribute Rating Technique Exploiting Ranks). During the Covid 19 pandemin, which is currently happening, various kinds of assistance are needed for middle and lower class people in rural areas, thus to distribute assistance, assistance distribution techniques are needed so that it reaches the right people. The SMARTER method was chosen because it is a form of decision support model used in decision making with multi attributes that will be used to solve decision-making problems. The research was conducted in Sei Beluru Village, Meranti District, Asahan Regency. In Sei Beluru Village, several criteria were obtained from direct observation of the field, namely the area of the house floor, the type of floor of the house, the type of house wall, the toilet facilities, the source of drinking water, lighting, materials. fuel used, frequency of eating, ability to buy meat, ability to buy clothes, ability to seek treatment, monthly income, education of the head of household, ownership of assets. Decision support systems using the Smarter method are able to analyze data on people who are entitled to receive Raskin assistance. The results obtained from this study are that from several prospective recipients of Raskin assistance with the specified criteria, it is found that the most prioritized alternative has the highest value of 0.603 using the Smarter method.