Pengaruh Jumlah Penduduk terhadap Belanja Modal melalui PAD, DAU, dan Dak sebagai Variabel Intervening

This research is aimed at finding out the influence of total population toward capital expenditure trough local revenues, general allocation fund as an intervening variable in Regencies/Towns in South-Sumatera Provinces. This research used secondary data, obtained from Central Bureau of Statistics and Directorate General of Financial Considerations, 2014-2016. The population of this research was 11 regencies/town in South-Sumatera Province. The techniqnue of analyzing the data was through descriptive statistics, simple liner regression, hypothesis test (Ttest), determination analysis and correlation as well as path analysis and sobel test. The result showed that total population had positive significant influence toward capital expenditure, and had no significant influence toward fund alloction through local revenues as an intervening variable. In practice, total population had negative,not significant influence toward general fund allocation, and total population had positive influence of capital expenditure toward specific fund allocation as an intervening variable

Online Platform Application Design for Local Product

Web technology development is growing rapidly because all technology's core is to make it easier for other people to create a web or find any information via the web. This study aims to design an online application/website specifically for local products that focus on fashion, especially those that have not been touched by online media at all, such as in Pasar Baru and Pasar Andir, located in the city of Bandung. This research used descriptive with a qualitative approach. This study indicates that a website can be used as a promotional medium for local clothing stores to expand marketing reach. Besides that, it can also improve the image of the local clothing company. More than that, of course, visitors can find out the latest types of branded clothing products and make sales transactions with consumers without visiting the store in person. With this website, of course, it will make it easier for customers to make purchase transactions at local brand clothing stores that are not widely known

Pembuatan Bahan Penyamak Nano Nabati Dan Aplikasinya Dalam Penyamakan Kulit

This study aimed to create nano vegetable tanning materials of acacia bark extract. The process started with size reduction of acacia bark (16.7 mm x 4.9 mm x 1.8 mm), followed by counter current extraction of acacia bark with water at 80ºC with 1:3 bark to water ratio in order to obtain extracts with density of 9-10ºBe. Drying was done with a spray dryer. Particle size of the resulting powders was measured with particle size analyzer. Planetary ball mill was used for 6 hours to obtain average particle size of 72.9 nm. A variety of vegetable tanning materials were applied in the vegetable tanning process with varied concentrations of 15, 20, and 25%. The use of 25% nano vegetable tanning material of acacia bark extract gave the best results compared to liquid extract of acacia bark and mimosa. The properties of the leather obtained were tensile strength of 27.04 kg/cm2, elongation at break of 50%, shrinkage temperature of 84oC, and degree of tannage of 79.65%

Evaluation of GPM IMERG Performance Using Gauge Data over Indonesian Maritime Continent at Different Time Scales

Accurate precipitation observations are crucial for water resources management and as inputs for a gamut of hydrometeorological applications. Precipitation data from Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (GPM) (IMERG) have recently been widely used to complement traditional rain gauge systems. However, the satellite precipitation data needs to be validated before being widely used in the applications and this is still missing over the Indonesian maritime continent (IMC). We conducted a validation of the IMERG product version 6 for this region. The evaluation was carried out using gauge data in the period from 2016 to 2020 for three types of IMERG: Early (E), Late (L), and Final (F) from annual, monthly, daily and hourly data. In general, the annual and monthly data from IMERG showed a good correlation with the rain gauge, with the mean correlation coefficient (CC) approximately 0.54–0.78 and 0.62–0.79, respec-tively. About 80% of stations in the IMC area showed a very good correlation between gauge data and IMERG-F estimates (CC = 0.7–0.9). For the daily assessment, the CC value was in the range of 0.39 to 0.44 and about 40% of stations had a correlation of 0.5–0.7. IMERG had a fairly good ability to detect daily rain in which the average probability of detection (POD) for all stations was above 0.8. However, the false alarm ratio (FAR) value is quite high (<0.5). For hourly data, IMERG’s performance was still poor with CC around 0.03–0.28. For all assessments, IMERG generally overesti-mated rainfall in comparison with rain gauge. The accuracy of the three types of IMERG in IMC was also influenced by season and topography. The highest and lowest CC values were observed for June–July–August and December–January–February, respectively. However, categorical statistics (POD, FAR and critical success index) did not show any clear seasonal variation. The CC value decreased with higher altitude, but with slight difference for each IMERG type. For all assessments conducted, IMERG-F generally showed the best rainfall observations in IMC, but with slightly difference from IMERG-E and IMERG-L. Thus, IMERG-E and IMERG-L data that had a faster latency than IMERG-F show potential to be used in rainfall observations in IMC

Rancang Bangun Aplikasi Tracer Study Berbasis Website pada SMAN 20 Surabaya

SMAN 20 Surabaya is a school with an average number of graduates per year as many as 300 graduates. SMAN 20 Surabaya conducts a tracer study once a year which is important in order to obtain information that can support improvement or determine academic policies to improve the quality of education and is an important part of accreditation assessment. There are problems that arise in the implementation of the tracer study at this time, namely SMAN 20 Surabaya does not have a clear reference or implementation guide, there is no tracer study implementation for graduate users, there is the possibility of redundancy or duplication of data, making questionnaires is often delegated causing the need to request access to control tracer study process, there is no feedback from alumni related to the learning process, there is no focus on the graduation year of the alumni who are the target respondents, and the report on the results of the tracer study is only a table listing responses from alumni. Therefore, it is necessary to have a tracer study application that is able to overcome these problems. The tracer study method is used as a reference for a series of tracing processes in the application. The process starts from making a questionnaire, then the process of collecting data / filling out the questionnaire, and finally the process of analyzing the data that will be poured into the report. The results of the research are that this application is able to provide questionnaires for alumni and graduate users, can record filling out questionnaires from respondents, has user access rights sharing, generates feedback for schools to improve education quality, can recommend alumni as questionnaire targets, and presents a summary dashboard that contains information that can support the improvement of the quality of school education

Plastic pollution research in Indonesia:State of science and future research directions to reduce impacts

Several studies have suggested Indonesia to be among the top plastic polluting countries globally. Data on the presence and amounts of plastic pollution are required to help design effective plastic reduction and mitigation strategies. Research quantifying plastic pollution in Indonesia has picked up in recent years. However, a lack of central coordination in this research has led to research output with different goals, methods, and data formats. In this study we present a meta-analysis of studies published on plastic pollution in Indonesia to uncover gaps and biases in current research, and to use these insights to suggest ways to improve future research to fill these gaps. Research gaps and biases identified include a clear preference for marine research, and a bias toward certain environmental compartments within the marine, riverine, and terrestrial systems that have easy to apply methods. Units of measurement used to express results vary greatly between studies, making it difficult to compare data effectively. Nevertheless, we identify polypropylene (PP) and polyethylene variants (PE, HDPE, LDPE) to be among the most frequently found polymers in both macro- and microplastic pollution in Indonesia, though polymer identification is lacking in a large part of the studies. Plastic research is mostly done on Java (59% of the studies). We recommend research methods used to quantify plastic pollution to be harmonized. Moreover, we recommend a shift in focus of research toward the riverine and terrestrial environments and a shift of focus of environmental compartments analyzed within these systems, an increase in spatial coverage of research across Indonesia, and lastly, a larger focus on polymer characterization. With these changes we envision future research which can aid with the design of more effective and targeted reduction and mitigation strategies