Perancangan Video Game Legenda Anglingdarma

Video game dapat digunakan untuk membawakan sebuah cerita rakyat dari negeri masing-masing.Bagi negara-negara yang industri game-nya belum maju, hal ini dapat digunakan sebagai solusi untuk memperkenalkan cerita rakyat.Untuk itu video game ini dibuat agar setidaknya dapat membantu mengenalkan kembali cerita rakyat Indonesia.Dibuat dengan teknik ilustrasi untuk mempermudah pengenalan dan memberikan daya tarik sendiri

Aplikasi Mobaji: Meningkatkan Pertumbuhan Tanaman dan Pengendalian Hama Penggerek Batang Padi

One of the important pest in rice plants that triggers production declining of rice is rice yellow stem borer (Scircophaga incertulas) that can lead to crop yield failure. This pest attacks on the generative stage of rice plants and known as ‘beluk'. MoBaJi is the mixture of MOL (local microorganism), onion extract and neem seed extract which serves as a botanical pesticide and as growth acceselerator of rice plants. The experiment was conducted in the laboratory of plant protection and FP-UB's greenhouse. The research was conducted from February to June 2014. Randomized block design (RBD) was used for this research. This research contained 6 treatments with 3 replications with different concentration in each replication, and the treatments were repeated 3 times. The observations carried out up to 90 DAT of MoBaJi with scoring method. The variables of observations included plant height, tiller number, leaf number and intensity of pest attact. The results showed that MoBaJi's treatment provided the highest influence on the mean of plant height that reached 64.71 cm (control: 51.45 cm), increase the tillers number (4 tillers compared to 2.8 tillers in control). The mean number of leaves in MoBaJi tratment were 26 strands (19 strands in control). The observation of pest attack intencity on the field showed that there were no visible pest attack in MoBaJi's treatment. This results was confirmed by testing on a petridish of pests (early instars yellow rice stem borer larvae) and non-target insects (crickets). MoBaJi's treatment was able to kill pests up to 90-100% within 4 hours without killing non-target insects, in contrast to chemical pesticides that killed both pests and non-target insects

How land use/land cover changes can affect water, flooding and sedimentation in a tropical watershed: a case study using distributed modeling in the Upper Citarum watershed, Indonesia

[EN] Human activity has produced severe LULC changes within the Upper Citarum watershed and these changes are predicted to continue in the future. With an increase in population parallel to a 141% increment in urban areas, a reduction of rice fields and the replacement of forests with cultivations have been found in the past. Accordingly, LCM model was used to forecast the LULC in 2029. A distributed model called TETIS was implemented in the Upper Citarum watershed to assess the impact of the different historical and future LULC scenarios on its water and sediment cycles. This model was calibrated and validated with different LULCs. For the implementation of the sediment sub-model, it was crucial to use the bathymetric information of the reservoir located at the catchment's outlet. Deforestation and urbanization have been shown to be the most influential factors affecting the alteration of the hydrological and sedimentological processes in the Upper Citarum watershed. The change of LULC decreases evapotranspiration and as a direct consequence, the water yield increased by 15% and 40% during the periods 1994-2014 and 2014-2029, respectively. These increments are caused by the rise of three components in the runoff: overland flow, interflow and base flow. Apart from that, these changes in LULC increased the area of non-tolerable erosion from 412 km(2) in 1994 to 499 km(2) in 2029. The mean sediment yield increased from 3.1 Mton -yr(-1) in the 1994 LULC scenario to 6.7 Mton-yr(-1) in the 2029 LULC scenario. An increment of this magnitude will be catastrophic for the operation of the Saguling Dam.This study was partially funded by the Spanish Ministry of Economy and Competitiveness through the research projects TETISMED (CGL2014-58,127-C3-3-R) and TETISCHANGE (RTI2018-093717-B-I00). The authors are also thankful to the Directorate General of Higher Education of Indonesia (DIKTI) for the Ph.D. funding of the first author.Siswanto, SY.; Francés, F. (2019). How land use/land cover changes can affect water, flooding and sedimentation in a tropical watershed: a case study using distributed modeling in the Upper Citarum watershed, Indonesia. Environmental Earth Sciences. 78(17):1-15. https://doi.org/10.1007/s12665-019-8561-0S115781

Assessing learning and memory in pigs

In recent years, there has been a surge of interest in (mini) pigs (Sus scrofa) as species for cognitive research. A major reason for this is their physiological and anatomical similarity with humans. For example, pigs possess a well-developed, large brain. Assessment of the learning and memory functions of pigs is not only relevant to human research but also to animal welfare, given the nature of current farming practices and the demands they make on animal health and behavior. In this article, we review studies of pig cognition, focusing on the underlying processes and mechanisms, with a view to identifying. Our goal is to aid the selection of appropriate cognitive tasks for research into pig cognition. To this end, we formulated several basic criteria for pig cognition tests and then applied these criteria and knowledge about pig-specific sensorimotor abilities and behavior to evaluate the merits, drawbacks, and limitations of the different types of tests used to date. While behavioral studies using (mini) pigs have shown that this species can perform learning and memory tasks, and much has been learned about pig cognition, results have not been replicated or proven replicable because of the lack of validated, translational behavioral paradigms that are specially suited to tap specific aspects of pig cognition. We identified several promising types of tasks for use in studies of pig cognition, such as versatile spatial free-choice type tasks that allow the simultaneous measurement of several behavioral domains. The use of appropriate tasks will facilitate the collection of reliable and valid data on pig cognition

Combined ship routing and inventory management in the salmon farming industry

We consider a maritime inventory routing problem for Norway's largest salmon farmer both producing the feed at a production factory and being responsible for fish farms located along the Norwegian coast. The company has bought two new ships to transport the feed from the factory to the fish farms and is responsible for the routing and scheduling of the ships. In addition, the company has to ensure that the feed at the production factory as well as at the fish farms is within the inventory limits. A mathematical model of the problem is presented, and this model is reformulated to improve the efficiency of the branch-and-bound algorithm and tightened with valid inequalities. To derive good solutions quickly, several practical aspects of the problem are utilized and two matheuristics developed. Computational results are reported for instances based on the real problem of the salmon farmer

The state of health in Indonesia's provinces, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background Analysing trends and levels of the burden of disease at the national level can mask inequalities in health-related progress in lower administrative units such as provinces and districts. We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to analyse health patterns in Indonesia at the provincial level between 1990 and 2019. Long-term analyses of disease burden provide insights on Indonesia's advance to universal health coverage and its ability to meet the United Nations Sustainable Development Goals by 2030. Methods We analysed GBD 2019 estimated cause-specific mortality, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), life expectancy at birth, healthy life expectancy, and risk factors for 286 causes of death, 369 causes of non-fatal health loss, and 87 risk factors by year, age, and sex for Indonesia and its 34 provinces from 1990 to 2019. To generate estimates for Indonesia at the national level, we used 138 location-years of data to estimate Indonesia-specific demographic indicators, 317 location-years of data for Indonesia-specific causes of death, 689 location-years of data for Indonesia-specific non-fatal outcomes, 250 location-years of data for Indonesia-specific risk factors, and 1641 location-years of data for Indonesia-specific covariates. For subnational estimates, we used the following source counts: 138 location-years of data to estimate Indonesia-specific demographic indicators; 5848 location-years of data for Indonesia-specific causes of death; 1534 location-years of data for Indonesia-specific non-fatal outcomes; 650 location-years of data for Indonesia-specific risk factors; and 16 016 location-years of data for Indonesia-specific covariates. We generated our GBD 2019 estimates for Indonesia by including 1 915 207 total source metadata rows, and we used 821 total citations. Findings Life expectancy for males across Indonesia increased from 62·5 years (95% uncertainty interval 61·3–63·7) to 69·4 years (67·2–71·6) between 1990 and 2019, a positive change of 6·9 years. For females during the same period, life expectancy increased from 65·7 years (64·5–66·8) to 73·5 years (71·6–75·6), an increase of 7·8 years. There were large disparities in health outcomes among provinces. In 2019, Bali had the highest life expectancy at birth for males (74·4 years, 70·90–77·9) and North Kalimantan had the highest life expectancy at birth for females (77·7 years, 74·7–81·2), whereas Papua had the lowest life expectancy at birth for males (64·5 years, 60·9–68·2) and North Maluku had the lowest life expectancy at birth for females (64·0 years, 60·7–67·3). The difference in life expectancy for males between the highest-ranked and lowest-ranked provinces was 9·9 years and the difference in life expectacy for females between the highest-ranked and lowest-ranked provinces was 13·7 years. Age-standardised death, YLL, and YLD rates also varied widely among the provinces in 2019. High systolic blood pressure, tobacco, dietary risks, high fasting plasma glucose, and high BMI were the five leading risks contributing to health loss measured as DALYs in 2019. Interpretation Our findings highlight that Indonesia faces a double burden of communicable and non-communicable diseases that varies across provinces. From 1990 to 2019, Indonesia witnessed a decline in the infectious disease burden, although communicable diseases such as tuberculosis, diarrhoeal diseases, and lower respiratory infections have remained a main source of DALYs in Indonesia. During that same period, however, all-ages death and disability rates from non-communicable diseases and exposure to their risk factors accounted for larger shares of health loss. The differences in health outcomes between the highest-performing and lowest-performing provinces have also widened since 1990. Our findings support a comprehensive process to revisit current health policies, examine the root causes of variation in the burden of disease among provinces, and strengthen programmes and policies aimed at reducing disparities across the country. Funding The Bill & Melinda Gates Foundation and the Government of Indonesia. Translation For the Bahasa Indonesia translation of the abstract see Supplementary Materials section

Pelatihan Installasi dan Operasional Blended Learning untuk Admin Fakultas

The Learning process at Faculty of Education and Vocational Education (FKIP)) and the Faculty of Administrative Sciences (FIA) lecturers has been providing materials by displaying lecture materials using projector, as well as writing lecture materials on the blackboard. The student quiz is conducted after several meetings, the students are required to work on and complete the quiz given by the lecturer and then immediately collected after the time is up or finished. To give and collect the task, the lecturer give it during the lecture period and there are also lecturers who give the task at the end of the lecture after the lecturer delivered the lecture material, and the collection is done during the meeting in the class or on the next day schedule in the form of hardcopy so that the lecturer must certain to correct it. To face the problems faced by the Faculty of Education (FKIP) and Faculty of Administrative Sciences (FIA) the authors suggest with the use of electronic-based learning media that is Blended Learning. &nbsp

Respons Psikologis terhadap Pandemi Covid-19 dalam Cerita Fantasi

Penelitian ini bertujuan untuk mendeskripsikan bentuk respons psikologis terhadap bencana pandemi Covid-19 dalam cerita fantasi. Respons psikologis ini tercermin pada penokohan tokoh dalam cerita fantasi tersebut. Data penelitian ini berupa kutipan narasi, kutipan dialog, dan paragraf cerita fantasi yang mengandung respons psikologis secara verbal. Sumber data penelitian ini adalah cerita fantasi bertema pandemi Covid-19 yang ditulis siswa kelas VII MTsN Gresik. Tema dari cerita fantasi yang dijadikan sumber data juga ditentukan yaitu pandemi Covid-19. Tema ini disesuaikan dengan keadaan yang dialami siswa pada masa ini. Pengumpulan data dalam penelitian ini dilakukan dengan beberapa langkah. Pertama, menyampaikan materi terkait pengertian, struktur, unsur kebahasaan, dan langkah-langkah penulisan cerita fantasi kepada siswa. Kedua, memberikan penugasan ke siswa untuk menulis cerita fantasi sesuai tema yang sudah ditentukan. Ketiga, mengamati dan membaca secara saksama cerita fantasi yang ditulis siswa. Keempat, mengidentifikasi data dan menyesuaikan dengan fokus penelitian. Kelima, memberi kode pada data. Keenam, mengklasifikasikan dan mendeskripsikan data. Dari analisis data yang telah dilakukan, ditemukan beberapa respons psikologis. Pertama, respons kognitif berupa pengetahuan tokoh terhadap pandemi Covid-19. Kedua, respons afektif yang berkaitan dengan emosi tokoh dalam menghadapi pandemi Covid-19. Ketiga, respons konatif berupa tindakan yang diambil tokoh dalam menghadapi pandemi Covid-19