e-Journal UIR (Journal Universitas Islam Riau)
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PENGGUNAAN Metarhizium anisopliae SOROKIN LOKAL TERHADAP Spodoptera frugiperda J.E. SMITH
Get PDFThe main pest that attacks sweet corn crops is the armyworm Spodoptera frugiperda J.E. Smith. The armyworm S. frugiperda is harmful to sweet corn crops with an attack rate of 15-100%. Control of armyworm S. frugiperda in sweet corn plants generally still uses synthetic chemical insecticides because they can control pests quickly and practically. Biological control is an alternative method that can be used to overcome the impacts caused by the use of synthetic insecticides. The biological agent that has the potential to control plant pests is the entomopathogenic fungi Metarhizium anisopliae (Metsch) Sorokin. The purpose of this research is to obtain the concentration of the local entomopathogenic fungi Metarhizium anisopliae (Metsch) Sorokin which is able to control the armyworm Spodoptera frugiperda J. E. Smith. The research was conducted at the Laboratory of Plant Pests, Faculty of Agriculture, Riau University from June to August 2020. The research was designed a completely randomized design with six treatments local entomopathogenic fungi concentrations M. anisopliae 0 g.l-1 water, 10 g.l-1 water, 20 g.l-1 water, 30 g.l-1 water, 40 g.l-1 water, 50 g.l-1 water, and four replications, to obtain 24 experimental units. The results showed that the use of the entomopathogenic fungi M. anisopliae (Metsch) Local Sorokin with a concentration of 30 g.l-1 water contains a conidia density 0.65 x 108 con.ml-1 is a concentration capable of controlling the armyworm S. frugiperda with total mortality of 82,50%. 
UJI FORMULASI BIOFUNGISIDA GRANULAR BERBAHAN AKTIF Trichoderma virens ENDOFIT DALAM MENGENDALIKAN Ganoderma Boninense Pat. PADA BIBIT KELAPA SAWIT (Elaeis guineensis Jacq.)
Get PDFThe aim of this work is to find out the effect of granular bio fungicide formulations with the active ingredient of T. virens endophytes and to obtain the best biofungicide preparations to control G. boninense and improve the quality of oil palm seeds. The research was conducted at the experimental farm and plant disease laboratories, Faculty of Agriculture, the University of Riau from February 2017 to September 2018. The research was carried out experimentally using a completely randomized design (CRD). The treatment tested was the Trichoderma virens formulation F0 = Control without treatment, F0- = Control negative (Ganoderma inoculant), F0 + = Positive control (15 ml Trichoderma virens inoculant + Ganoderma inoculant), F1 = 15 ml Trichoderma virens inoculant +100 g sago starch + 25 peat peat +25 g tapioca starch, F2 = 15 ml Trichoderma virens inoculant +100 g palm frond flour + 25 sago dregs + 25 g tapioca flour, F3 = 15 ml Trichoderma virens inoculant + 100 g solid +25 g talc + 25 g flour tapioca, F4 = 15 ml Trichoderma virens inoculant + 100 g cocoa shell flour + 25 g zeolite + 25 g tapioca flour. The parameters observed were the intensity of the attack of the disease, seed height, weevil diameter, number of fronds, root volume, seed dry weight, and sprout ratio. uk root. The obtained data were statistically analyzed using variant fingerprints. The average results of the analysis were continued with the BNJ test at the 5% level. F4 treatment showed the best granular formulation for the growth and development of T. virens endophytes, inhibiting the infection of Ganoderma sp. Attack. on seedlings and better seed growth on observations of seed height, root volume, number of midribs, root crown ratio, and dry weight of oil palm seedlings
PENGARUH KONSENTRASI PUPUK ORGANIK CAIR TERHADAP PERTUMBUHAN DAN PRODUKSI SAWI (Brassica juncea L.)
Get PDFThe aim of this work is to find out effect of several Liquid Organic Fertilizers (POC) based on their concentration and to obtain the best POC on the growth and production of mustard plants during two plantings. This research was carried out at the Experimental farm of the Faculty of Agriculture, Riau University from February to April 2020. This study was conducted at then experimental method with a one-factor Completely Randomized Design (CRD) with 5 treatments and 4 repetitions, namely tofu water with a concentration of 25% (250 ml of tofu + 750 ml water), 25% banana peel concentration (250 ml banana peel + 750 ml water). 25% concentration of rice washing water (250 ml of rice washing water + 750 ml of water), 25% concentration of eggshell (250 ml of eggshell + 750 ml of water), a mixture of tofu POC (62.5 ml) + banana peel POC (62,5 ml) + POC of rice washing water (62.5 ml) + POC of eggshell (62.5 ml). Parameters observed were plant height, number of leaves, leaf area, fresh plant weight, fresh plant weight per plot. The observational data were analyzed and continued with Duncan's New Multiple Range Test (DNMRT) at a 5% level. The results showed that the treatment of several types of POC had the same effect to each other. However, presenting POC of tofu wastewater showed that fresh yield was generally superior in terms of leaf number, fresh plant weight, and plant weight per plot
PENGARUH KEDALAMAN MUKA AIR TANAH TERHADAP PERTUMBUHAN DAN PRODUKSI SERTA MUTU FISIOLOGIS BENIH KEDELAI (Glycine max (L) Merril) YANG DIHASILKAN
Get PDFSoybean production in Indonesia has decreased year by year. This is caused by high rainfall potentially causing water-saturated land. This is due to heavy rain which can cause the water to become saturated. Implementation of drainage and groundwater depth control is expected to increase soybean productivity. The purpose of this study is to determine the best groundwater depth for growth, production and physiological quality of soybeans produced. The study was conducted at the Experimental farm of the Faculty of Agriculture, the University of Riau from February to May 2019. The depth of the groundwater used was 5 cm, 10 cm, 15 cm, 20 cm, and control treatment. The parameters observed were plant height and number of nodes, flowering age, age of harvest, number of seeds per plant, dry weight of seeds per plant, the weight of 100 seeds per plant, the suitable percentage for seed, standard germination test, and index value test. Data were analyzed by analysis of variance then continued with Duncan's New Multiple Range Test at the 5% level. The results showed that a depth of 5 cm, which produces poor aeration, leads to unoptimal absorption of nutrients, thus plant height and number of nodes, number of seeds per plant, dry seed weight per plant, 100 seed weight per and the suitable percentage for seed decreased. In the treatment, a water level of 20 cm from the soil gave the best results in terms of seed growth, production and physiological quality due to good ventilation, sufficient water availability and optimal absorption of nutrients
PERTUMBUHAN DAN PERKEMBANGAN BUAH SERTA KADAR GULA BUAH TANAMAN MATOA MERAH (Pometia pinnata Forst)
Get PDFMatoa fruit is one of the original Indonesian fruits from Papua. Matoa fruit is very popular for its delicious taste and unique fruit aromas such as durian and rambutan. many matoa plants can be found in Pekanbaru with age of 13, so it is necessary to conduct a research on the matoa fruit. The purpose of this study was to determine the maximum weight of fresh fruit and total dissolved solids in red matoa based on the age of fruit collection. The study was conducted with a descriptive analysis. Thirteen year old red matoa plants were studied at Purwo Farm Gardens, Jalan Sri Kurnia, Palas, Agrowisata Village, Rumbai District, Riau. The study was conducted during 4 months from April to July 2020. The results showed the maximum fresh weight of red matoa fruits at the age of fruit collection of 56 days after pollination (DAP). Total dissolved solids (TDS) in red matoa fruit was 56 DAP
ANALISIS AGROINDUSTRI SUSU KEDELAI DI KELURAHAN PURWODADI KECAMATAN TAMPAN KOTA PEKANBARU PROVINSI RIAU (KASUS PADA USAHA SUSU KEDELAI BAPAK ANAS)
Get PDFThe purpose of this work is to analyse the characteristics of entrepreneurs and business profiles, the production process and the use of production inputs, production costs, output, sales price, income, and the efficiency and added value of business in the soy milk agroindustry. This study used a survey method in Purwodadi Village, Tampan District, Pekanbaru City, Riau Province. Data were analysed using descriptively qualitatively and quantitatively. The results showed that the characteristic features of soymilk entrepreneurs were productive age, high school education, high entrepreneurial experience and relatively small family members. The business profile shows that the soymilk agroindustry is classified as a micro-enterprise. The production process of soy milk begins with shaking and washing, grinding, boiling, filtering, heating, and packaging. The use of inputs consisted of raw materials i.e., soybeans 72 kg/month, labour 11.59 HOK/month and supporting materials namely water 1.368 l/month, sugar 120 kg/month, food flavours 600 ml/month, salt 7200 grams/month, pandan leaves 1 sheets/month, plastic wrapping 9360 sheets/month and firewood up to m3/month. The of production cost of soy milk was Rp. 5,545,864/month, which consisted of variable costs IDR 5,481.150/month and fixed costs IDR 64,714/month. Soy milk production was obtained as much as 1,080 liters/month with a selling price of IDR 6,667/liter. Gross income was IDR 7,200,000/month and net income was IDR. 1,654,136/month. The efficiency (RCR) of soy milk was 1.30 and it means soy milk was profitable and feasible. The added value obtained from the soy milk agroindustry was IDR 39,068/liter with a value-added ratio of 39.07%
PENGGUNAAN FILTRAT RIMPANG JAHE MERAH (Zingiber officinale var. Rubrum) TERHADAP HAMA ULAT BAWANG MERAH (Spodoptera exigua H.)
Get PDFSpodoptera exigua H. is a pest on shallot plants. S. exigua pest control is usually performed using synthetic insecticides. However, its use can cause negative impacts on humans and the agricultural environment. Therefor, it needs the alternative insecticides that are safer and environmentally friendly such as Zingiber officinale var. Rubrum. The purpose of this research was to obtain the effective concentration of red ginger rhizome filtrate to control the pest Spodoptera exigua H. The research was conducted at the experimental farm of the Faculty of Agriculture, Riau University from September to November 2019. Experiments were carried out using a completely randomized design (CRD) with 5 treatments and 4 replications. The red ginger rhizome filtrate concentration treatment used was 0 ml.l-1 water, 20 ml.l-1 water, 40 ml.l-1 water, 60 ml.l-1 water, dan 80 ml.l-1 water. The results showed that the concentration of red ginger rhizome filtrate 60 ml.l-1 water could control pests S. exigua and could cause total mortality of 82,50% with an initial death time of 7 hours and lethal time 50 of 40,25 hours
Local Product Promotional Content on President Joko Widodo’s Instagram
Get PDFSo far, Indonesia has only been known as a big market for global products. So positioning Indonesia as a country that making domestically produced products as well as a producer country becomes a very important nation step. President Jokowi through his Instagram often promotes products that made in the country, and the domestic consumers often responded positively. This study seeks to understand how President Jokowi promoted locally made products through his Instagram. Using literature study as a data collection method, content analysis as an analytical technique, and the AIDA Model as a theoretical framework to describe how the uploaded promotional content was being rolled out. This study found that the President's promotional posts are in line with the AIDA framework, and in his posts, the president not only creates awareness and interest, but also seeks to build a sense of pride and confidence towards the locally made products and the nation production capabilities amongst the audiences, particularly the followers. From this research, researchers can further discuss the effects and how audiences interpret the promotional content of President Jokowi
An Investigation into the Impact of Digital Social Media on the Writing and Speaking Skills of Tertiary Level Students in one Institution in Lesotho
Get PDFThis study set out to explore the impact of digital social media on the writing and speaking skills of English as second language tertiary level students in one institution in Lesotho. Current research stipulates that digital social media can have a negative impact on students’ grammatical competence if not used properly. However, digital social media has also been found to have a positive impact on students’ productive skills. In order to find out the impact of digital social media on students’ written and oral skills, the study adopted a qualitative approach confined in a case study. Face-to-face interviews with five (n=5) lecturers and focus group discussions with sixty (n=60) students were used as tools for data collection. Findings from face-to-face interviews with lecturers reveal that digital social media has a negative impact on students’ grammatical competence because they employ short forms in formal writings. Furthermore, findings from group discussions with students reveal two things; firstly, they point to digital social media as having a positive impact on their speaking skills, and secondly as having an adverse impact on their writing skills because of the informal language used in the social media platforms. These findings suggest that students should be taught how to properly use the platforms in order to balance the two skills. The study consequently concludes by recommending that lecturers should constantly encourage their students to chat using formal language all the times especially amongst themselves as this will help them to improve their writing skills
Toward Better Analysis of Breast Cancer Diagnosis: Interpretable AI for Breast Cancer Classification
Get PDFRecently, some countries have been distressing with the increasing number of breast cancer cases. Those cases were extremely increased in every year. Practicaly, the increasing number of patients was caused by the manual examination. Recently, some researchers have been done in the development of AI method for solving this problem. However, AI itself still has limitation since it worked in the black-box approach which was difficult to be trusted. Thus, to overcome those problems, we proposed a method that was able to classify breast ultrasound images into two classes (benign and malignant) and able to explain how the prediction was made. Our proposed method consisted of four processes i.e., pre-processing step, development of CNN model, interpretable step and evaluation. In this research work, our proposed method performed into 780 breast ultrasound images divided into three classes (133 normal, 210 malignant, and 437 benign). In the training process, our proposed method obtained training accuracy of 0.9795, training loss of 0.0675. The validation process obtained validation accuracy of 0.8000 and validation loss of 0.5096. While, in the testing process, our proposed method achieved accuracy of 0.7923. In the interpretable process using LIME, the LIME result is covered by doctor visualization. It was indicated that LIME was suitable enough in visualizing the important features of breast cancer severity. Regarding to the results, our proposed method has a potensial to be implemented as an early detection method for classifying malignancy of breast cancer in order to help the doctor in the screening proces