The need for electrical energy is increasing in line with the increase in population and increasing progress in welfare. On the other hand, the availability of fossil fuels as the main fuel in generating electricity is dwindling; so, there is a need for policies that require the use of environmentally friendly renewable energy. The utilization of renewable energy does not necessarily apply freely due to several constraints. One effort is a generator or distributed generation (DG) which is placed in the distribution line close to the load. The utilization of DG must go through planning, especially the large capacity and position on the bus and on the feeder, which will result in small network losses and a voltage profile that meets tolerance limits. Thus, the purpose of this study is to optimize to obtain the capacity and location of the DG calculated by considering the variation in the load through the genetic algorithm method. As a result, the optimal DG position for normal load is obtained on bus 18, bus 20, and bus 32 with capacities of 190 kW, 463 kW, and 370 kW, respectively. The losses obtained decreased from 54.6733 kW to 9.9447 kW, and the voltage profile was maintained within the specified limits. Optimization was carried out for decreasing and increasing loads in percent. The result is that losses can be minimized, and the voltage profile remains within the required limits. The lower the load, the more stable the voltage and the smaller the losses; meanwhile, the larger the load, the more fluctuating the voltage is, but still within the limits specified in the optimization.

Soybean is one of important national commodities for food and industry. Gamma rays are electromagnetic waves that have very strong penetrating power. One of the sources of gamma rays is from 60Co. With its strong penetration power, gamma rays can be used in plant breeding to create new genetic diversity in order to develop high-yielding varieties. Irradiation of gamma rays at 300 Gy dose on Denna 2 variety soybean was conducted, then it was planted as M1 plant and later continued to be planted as M2. In M2 generation, mutant lines was selected based on early maturity, better than of the parent variety.The criteria used was harvest age between 75-81 days, the plants should look robust and strong stems. Harvesting days of parent varieties (Denna 2) was 81 days, while the mutant strains obtained were between 75-81 days. Likewise, for the plant height, the parent variety was 42.30 cm, whereas mutant lines of 38,56 cm in average, making it more resistant to logging. The average pods for parent was 36.37 pods and mutant lines of 55.24 pods. In selected shade tolerant soybean of the M3 generation early aged mutan lines shade tolerant days, of the parent variety Denna 2 days.

Penelitian Populasi hama plutella xylostella dan Crosidolomia binotalis pada tanaman kubis (brassica oleracea L.) dengan Perlakuan Jaring Pelindung dilakukan di desa Jaga Raga Indah Kecamatan Kediri, Kabupaten Lombok Barat, Provinsi Nusa Tenggara  Barat. Tujuan dari penelitian ini untuk mengetahui efektivitas net protection (jaring serangga) dalam mengurangi kerusakan tanaman kubis (Brassica oleracea L.) yang disebabkan oleh hama Plutella xylostella dan Crosidolomia binotalis. Rancangan yang dipergunakan dalam penelitian yaitu  (Quasi Eksperimental Design) dengan dua perlakuan dan diulang sebanyak tujuh kali. Perlakuan yang digunakan yaitu penanaman kubis tanpa menggunakan net protection (kontrol) dan penanaman kubis menggunakan net protection. Hasil penelitian menunjukkan bahwa masing-masing perlakuan efektif dalam menekan populasi hama ulat Plutella xylostella. Rata-rata Dengan menggunakan net protection (jaring serangga), rata-rata populasi hama Plutella xylostella 3,97 ekor/tanaman dan Crosidolomia binotalis 2,13 ekor/tanaman lebih rendah dibandingkan dengan yang tidak menggunakan net protection dengan populasi hama rata-rata Plutella xylostella 8,47 ekor/tanaman dan Crosidolomia binotalis 3,61 ekor/tanaman. pada masing-masing perlakuan menunjukkan hasil yang berbeda nyata atau signifikan

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A significant amount of value investment can absorb much labor and increase public consumption to become productive. Infrastructure development is believed to facilitate the mobility of goods and people from one area to another to accelerate and streamline the economic process. The purposes of this study were to analyze the effects of the value realization of Domestic Investment, the value realization of Foreign Investment, the labor force, and infrastructure partially and simultaneously on the economic growth of North SumatraProvince. The data in this study is secondary data sources on the Statistics Indonesia (BPS) report of Province SumatraUtara, particularly the data from 1990-2019. The data examined included Gross Domestic Regional Product, Value Realization of Domestic Investment, Foreign Investment, Labour Force, and road infrastructure. The data collection method used is the method of documentation. The model used is the Ordinary Least Square (OLS) model, which is analyzed by multiple regression. The results showed that, partially, there were positive and significant effects on the value realization of Domestic Investment, labor force, and infrastructure. Meanwhile, Foreign Investment showed a positive effect but not significant. Simultaneously, the realization of Domestic Investment, the realization of Foreign Investment, the labor force, and infrastructure were positive and significant on the economic growth of North Sumatra Province at the level of α = 5%. Keywords: value realization of domestic investment, foreign investment, labor force, infrastructure.