The soil Zn critical level generally decreases as organic matter content increases. Certain other properties, notably cation exchange capacity (CEC) and optimum soil pH, also vary with organic content. These properties and Mehlich 3 extractable Zn (M3Zn) were used to calibrate a Zn soil test from greenhouse and field data. Soils were collected from four lime treatments in field experiments conducted on six Ultisols. An Inceptisol and a Histosol were also sampled and four lime treatments established, providing a range in pH and organic matter content. Three levels of Zn as ZnSO4 · 7H2O were added to each soil. Soybeans [Glycine max (L.) Merr., cv. Centennial] and corn (Zea mays L., cv. Pioneer 3369A) were grown successively in the greenhouse, each for 5 weeks. Mehlich 3 extractable Zn decreased with an increase in soil pH on only one of the eight soils, but Zn concentration in plants grown on all soils decreased with an increase in soil pH. Mehlich 3 extractable Zn alone accounted for little of the variation in the plant Zn concentration of the two crops. Including soil pH and CEC in the model increased the R2 to 0.56 and 0.50 for soybeans and corn, respectively. When the squared and first‐order interaction terms of these variables were considered, the R2 increased to 0.76 for soybeans and 0.66 for corn. For corn grown in the field, these same variables were found to be important in Zn soil test calibration. The form of the regression equation proved to be illogical, however, because the range in soil properties was not sufficient to produce a reliable prediction equation. Regression equations from the greenhouse were then adjusted to predict the leaf Zn concentrations of crops grown in the field. For corn, an equation that gave reasonable estimates of leaf Zn concentration in the field was developed. This equation may be used to interpret the need for Zn fertilization over a continuum of extractable Zn concentration, pH, and CEC in soils.

Penelitian ini bertujuan untuk menganalisis besar persentase kemunculan ranah kognitif pada soal latihan  berdasarkan   taksonomi   Bloom  Revisi  yang  terdapat  pada  buku pelajaran Fisika kelas X karya Ni Ketut Lasmi khususnya pada materi Vektor, Gerak Lurus dan Gerak Parabola dengan total soal sebanyak 172 butir soal. Jenis penelitian yang digunakan adalah penelitian kualitatif dengan pendekatan deskriptif dengan instrumen penelitian yang digunakan berupa lembar klasifikasi. Hasil penelitian menunjukkan bahwa persentase kemunculan soal yang mengembangkan keterampilan berpikir tingkat rendah (lower order thinking skills) terbilang besar yaitu C1-konseptual 2,9%, C2-konseptual 5,2%, C3-konseptual 0,6%, dan C3-prosedural 66,9%, sedangkan pada  kategori soal yang mengembangkan keterampilan berpikir tingkat tinggi (higher order thinking skills) persentase tertinggi terdapat pada kategori soal C4-prosedural sebesar 23,8% dan untuk C4-konseptual hanya 0,6%. Selain tingkatan soal di atas, maka persentase kemunculan tingkat soal lainnya sebesar 0%. Sehingga, persentase kemunculan soal yang mengembangkan keterampilan tingkat tinggi masih rendah dan masih perlu ditingkatkan.

The optical fiber sensing system is free from the effects of electromagnetic wave interference and radio frequency interference. The temperature difference between the incoming light source at one end of the fiber optic cable and the temperature of the sensor will cause a difference in wavelength between the incoming light source and the light reflected by a sensor or passed by a sensor. The difference in wavelength will be converted into RGB value, then the RGB value will be converted into a temperature. It becomes a strong reason why this research takes the topic of temperature sensor design using fiber optics. The method to design fiber optic sensors used in this research is experiment, such as: - heating the ends of the fiber optic core with analytic splicers so it will obtain spherical and oval shape of the optical fiber end, -peeling the jacket between two ends of the fiber optics and coating optical fiber with plates. The calibration and validation method is using RMSE (Root Mean Square Error) of the temperature which measured by Infrared thermometer and optical fiber sensor designed in this research. The test results for temperature measurements between 303oK to 543oK by using optical fiber sensor designed by researcher show that the reflected light model has error 1,596683 and forwarded light model has error 1,029278.

Model pembelajaran inkuiri berbantuan media simulasi PhET adalah suatu tahapan pembelajaran mengikuti langkah-langkah model pembelajaran inkuiri dengan dibantu aplikasi simulasi PhET sebagai laboratorium virtual. Penelitian ini bertujuan untuk mengetahui rata-rata dan peningkatan hasil belajar kognitif peserta didik melalui model pembelajaran inkuiri berbantuan media simulasi PhET pada materi fluida statik. Penelitian ini dilakukan di SMA Negeri 1 Anggana dengan jumlah sampel sebanyak 30 peserta didik pada kelas XI IPA 1. Pengumpulan data dalam penelitian ini menggunakan teknik tes. Berdasarkan hasil penelitian diperoleh nilai rata-rata hasil belajar kognitif peserta didik sebesar 75. Hal ini menunjukkan bahwa rata-rata peserta didik mendapatkan nilai dengan kategori baik. Hasil N-Gain diperoleh rata-rata sebesar 69,7 dengan perolehan 47 % untuk kriteria N-Gain sedang dan perolehan 53 % untuk kriteria N-Gain sedang. Hal ini menunjukan bahwa terdapat  peningkatan pada hasil belajar kognitif peserta didik kelas XI IPA 1 materi fluida statik dengan kategori N-Gain sedang.

Polen digunakan oleh lebah sebagai sumber protein untuk menunjang kehidupan dan meningkatkan produksivitas lebah. Ukuran dan Jenis polen yang di bawa oleh lebah sangatlah beragam. Tanaman yang berasal dari dataran tinggi kemungkinan akan menghasilkan diameter polen yang berbeda dengan dataran rendah. Perlu dilakukan pengukuran diameter polen pakan lebah madu dari jenis tanaman yang berbeda untuk mengetahui sumber pakan yang disukai lebah. Penelitian ini bertujuan untuk mengetahui pengaruh ketinggian terhadap diameter polen dari berbagai jenis tanaman yang dibawa oleh lebah madu untuk meningkatkan produksi. Metode penelitian yang digunakan dalam penelitian ini adalah eksperimental lapang. Rancangan penelitian menggunakan rancangan acak lengkap (RAL) model linier dengan 3 perlakuan ketinggian, yaitu ketinggian 0-100 mdpl (P1), ketinggian 400-499 mdpl (P2) dan ketinggian 800-899 mdpl (P3).Hasil penelitian menunjukkan bahwa ketinggian tempat berpengaruh sangat nyata (P<0,05) terhadap diameter polen lebah madu Apis cerana. Rataan diameter polen terbesar terletak pada P2 yaitu 42.159 c ± 4.692 µm untuk lebar polen (Equatorial) dan 49,033 c ± 4,983 µm untuk panjang polen (Polar). Kemudian rataan diameter kedua pada ketinggian P3 yaitu 36.914 b ± 4.315 µm untuk panjang polen (Polar) dan 40,324 b ± 4,756 µm untuk lebar polen (Equatorial). Selain itu, Rataan diameter polen terkecil teretak pada P1 dengan lebar polen (equatorial) sebesar 21.149 a ± 1.453 µm dan panjang polen (polen) sebesar 27,046 a ± 2,641 µm. Untuk memenuhi kebutuhan polen, lebah Apis cerana tidak bergantung pada ukuran diameter tertentu secara spesifik. Polen terbesar yang dapat ditelan lebah adalah polen dengan diameter equatorial polen antara 8,52 µm sampai 93,68 µm Kata kunci: Apis cerana, polen, diameter, ketinggian How to cite :

Abstract-In recent years, both foreign and national companies tend to conduct English-based interviews when recruiting new employees. Consequently, college graduate must be ready for English-based interviews during the process of seeking employment. To meet these requirements potential candidates tend to practice conversing in English with someone who is proficient in the language. Nevertheless, it is not easy to have someone who is not only proficient in English, but also have a good understanding of common interview questions. This paper presents the development of a machine which is able to provide practice on English-based interviews, specifically on job interviews. Interviewer machine (interviewer bot) is expected to help students practice speaking English appropriately for job interview. The interviewer machine design uses words from a chat bot database named ALICE to mimic human intelligence that can be applied to a search engine using AIML. Naïve Bayes algorithm is used to classify the interview results into three categories: POTENTIAL, TALENT and INTEREST students. Furthermore, based on the classification result, the summary is made at the end of the interview session by using phrase reinforcement algorithms. By using this bot, students are expected to practice their listening and speaking skills, also to be familiar with the questions often asked in job interviews so that they can prepare the proper answers. In addition, the bot users could know their potential, talent and prospects in finding a job. Hence, they could apply to the appropriate companies. Based on the validation results of 50 respondents, the accuracy degree of interviewer chat-bot (interviewer engine) response obtained 86.93%.

ABSTRACT:The purposes of this study were to analyze: 1) the constitution and characteristics of sludge, solid sludge and sludge flour derived from Biogas Unit (BGU); 2) the influence of organic sludge liquid on the percentage of organic and crude protein content of the BGU organic sludge (BGUOS). The methods used in the study were observation and randomized controlled trial experiments. Data derived from field study were analyzed descriptively while data derived from experiments were analyzed using variance analysis. Differences were shown using the smallest significance-p test with CI 95%. The results showed that organic sludge constitution were odious, the organic sludge was clotting after drying process. In addition it became powder as soft as bran after dried, powdered and brooded. The experiment showed that the composition of BGUOS liquid gave influence to the amount of organic content and crude protein in the powder constitution of BGUOS. The fifth treatment brought the optimum percentage of the organic content and crude protein. The research concluded that BGUOS constitution was detestable in its form of sludge, however it could be transformed into bran constitution by drying and brooding treatment. The optimum amount of organic content and crude protein of BGUOS bran were gained by using 5 th treatment. The research suggest it is necessary to maintain BGUOS on the basis of local technology and to study the application of BGUOS solid powder or bran as fish and livestock feed.

This paper presents a study of long range (LoRa) communication for monitoring of a ship electrical system. Three categories of electrical system include generator, power distribution, and navigation are monitored. A low power communication technology of LoRa is used to transmit electrical variables such as current, voltage, and power are logged and sent to the server. Experiments using LoRa SX1278 and Arduino have been inducted to validate the performance of the communication. Three spreading factors 12, 7, 6 have been tested. From experiments results, the performance of the communication has been analysed, if has been found that 97% successful data transmission was achieved with maximum distance. Furthermore, small baud rate communication was more suitable for the application.