New superior varieties (VUB) are a reliable technological innovation to increase rice productivity. This study aims to determine the yield potential of some lowland rice VUB. The assessment was carried out on land owned by a member of the Sumber Rejeki Farmer Group, Cintaratu Village, Lakbok District, Ciamis Regency at Dry Season II in June-September 2020. The study used a randomized complete block design (RCBD) with six varieties of treatment and was repeated ten times. The varieties tested were Inpari 32, Inpari 42, Padjadjaran, Cakrabuana, Inpari IR Nutrizinc, and Siliwangi varieties. The variables observed included the growth component, yield component, and yield component. Data were analyzed using the F test followedby the Duncan Multiple Range Test at the Q=5% level. In addition, a correlation test was conducted between the growth components, yield components, and yields. The results of the study indicated that the new superior rice varieties studied had different performance in growth, number of tillers, yield, and yield components. Inpari 42 variety produced the highest productivity, namely 6.88 ton ha-1 which was supported by the number of grains per panicle, percentage of filled grains per panicle, and percentage of empty grain per panicle which were better than other varieties. Plant height and number of grains per panicle were positively correlated with yield.

This study aims to obtain the best combination of decanter cake (DC) and organic materials,chicken manure (PKA) on soybean growth and yield at Ultisols.. The research design used wasa Randomized Block Design, with treatment of combination of DC and PKA. The treatmentswere control (recommended inorganic fertilizer: 100 kg / ha NPK), DC 15 ton / ha + PKA 0 ton/ha, DC 10 ton / ha + PKA 5 ton / ha, DC 7.5 ton / ha + PKA 7 , 5 ton / ha, DC 5 tos / ha + PKA10 ton / ha, DC 0 ton / ha + PKA 15 ton / ha. Parameters observed: Number of productivebranches, number of pods per plant, number of filled pods, soybean grain yield . The dataobtained were analyzed by means of variance and DMRT at the 5 percent level. The resultsshowed that the combination of DC and PKA could improve soil chemical properties, and hada significant effect on the number of productive branches, yield components and soybean yield.The best combination for the highest soybean yield was the combination of DC 5.0 tonnes / ha+ PKA 10.0 tonnes / ha.

The Ministry of Education and Culture (Kemendikbud) issued Circular Letter Number 15 of 2020 concerning Guidelines for Organizing Learning from Home in an Emergency for the Spread of Covid-19. This causes the learning process that should be done face-to-face, being changed to online. Students must study from home and carry out the online thesis guidance process. Some of the difficulties experienced by students during direct mentoring, namely the difficulty of meeting lecturers who are busy teaching or doing assignments from institutions, besides that students who come from outside the city have to go back and forth just to meet the supervisor.. One of the ways to solve this problem is by applying technology.   Currently there is web technology that can be used to easily develop applications, namely the concept of a framework approach. With the existence of an online-based application which is the role of current technological developments, it will make the thesis guidance process carried out by lecturers and students more flexible. Students are able to carry out the guidance process anywhere and anytime.

Social distancing is an effort to prevent the spread of the coronavirus. Several systems for monitoring social distancing have been developed. People detection is an essential step in implementing a social distancing system. Failure to detect people causes the social distancing system to be inaccurate. Two people who communicate cannot occur violations of social distancing because one person is not detected. Therefore, we propose a precise person detection method for the social distancing system. The proposed social distancing system uses the YOLOv3 method for people detection and Euclidean Distance for measuring the distance of social distancing. YOLOv3 can detect people's objects precisely, even people who are caught small by the camera. Experiments on two outdoor video datasets result in an F1 value of more than 0.8. This proposed system can serve as a reference for future social distancing research.

Aset yang dikelola oleh sebuah instansi bisa berupa peralatan yang mempunyai batas umur pakai, jika perawatannya tidak tepat maka akan berakibat pada pemakaian yang tidak maksimal. Perawatan bisa berupa servis rutin dan servis ketika terjadi kerusakan, perawatan dilakukan oleh tenaga teknisi. Kemampuan dari setiap teknisi belum tentu sama, pemberian tugas berdasarkan pada unsur subyektivitas tidak akan mampu memberikan layanan yang baik pada perbaikan yang diminta oleh masing-masing divisi, karena pemilihan teknisi berdasarkan subyektivitas tersebut belum tentu didapatkan teknisi yang memiliki keahlian sesuai dengan tingkat kerusakan alat.   Perlu sebuah upaya obyektif untuk mendukung keputusan dalam mereferensikan teknisi pada sebuah proses perbaikan dengan menggunakan metode K-Nearest Neigbor    

A Facial photos in today's era are widely used as a media for identity recognition, but not many computer applications provide identity recognition of face photos that contain the names of the photo owners, to make an a prototype the sistems use a KNN algorithm, this algorithm work is by classifying the closest object and grouping it on predetermined objects. In this paper, the object is a face photo where the KNN algorithm will be used to classify the facial patterns contained in the photo. The stages in pattern recognition, starting from preprocessing, feature extraction and then classification. In addition to using the KNN algorithm for data classification, photo of faces will be detected and stored the T-Zone area and frontal face. In this paper 11 images used for data testing and the accuracy will be calculated using a recognition algorithm. The results of this paper are a facial recognition program using python that can display faces with a validity level of 82%.

The Covid-19 pandemic requires schools to divert their learning in their respective homes simultaneously with government regulations related to large-scale social access (PSBB) which aim to avoid crowds and add new clusters in the educational environment. This is a challenge for schools that do not yet have a bold learning platform and for teachers who still cannot use technology to provide their learning boldly. The web-based e-learning platform is expected to be able to assist teachers and students in carrying out learning without any technical guidance on its use. By using Rapid Application Development (RAD) in its design, it is hoped that it can produce an e-learning platform that is easy to use by teachers and students from SMAN ABC. This research is only up to the Design Workshop.

The purpose of this study is to build a data model for scheduling lectures at the Informatics Engineering Study Program, Faculty of Engineering, Muria Kudus University uses ontology as part of the implementation of semantic web technology. System built based on existing schedule data in the Informatics Engineering Study Program, such as data days, courses, credits, space and time stored in RDF / OWL format. The use of a lot of data with different storage formats becomes problems in finding valid information. To overcome this, it is necessary a system that can provide complete information is needed, namely with using semantic web technology. The semantic web is used to understand meaning of a word and concept, because it builds interconnected resources. Semantic web implementation is built using the ontology approach applied to RDF/OWL format. The results of this study are improving the ability of computers to search for more informationrich lecture schedules in the Informatics Engineering Study Program.

Kualitas produk bimbingan di sebabkan beberapa faktor yang juga merupakan elemen kinerja dosen juga diantaranya lulusan dosen, bidang keahlian, mata kuliah yang diajar, jumlah mahasiswa lulusan. Penentuan dosen bimbingan pada setiap topik tugas akhir yang dilakukan prodi manajemen selama ini masih berdasarkan satu variabel saja yaitu lulusan dosen, belum ada variabel pertimbangan lain seperti yang tersebut diatas. Perlu dilakukan klasifikasi kinerja dosen yang meliputi lulusan dosen, bidang keahlian, mata kuliah yang diajar, jumlah mahasiswa lulusan terhadap ploting topik bimbingan tugas akhir mahasiswa. Hasil klasifikasi mampu memberikan dukungan keputusan dalam menentukan dosen-dosen yang berkompeten pada setiap jenis topik tugas akhir.  

Penilaian secara periodik terhadap driver perlu dilakukan, untuk mengevaluasi kinerja. Pelaksanaan evaluasi membutuhkan waktu sehingga evaluasi sering dilakukan ketika terjadi keluhan dari penumpang, memberikan efek perubahan yang sifatnya sementara juga, setelah keluhan teratasi maka driver maupun pimpinan divisi transportasi menganggap tidak akan terjadi lagi kejadian yang sama. Bentuk evaluasi seperti di atas seringkali hanya  dilakukan terhadap driver yang dikeluhkan penumpang.   Penilaian kinerja yang termodel dan menyeluruh terhadap semua driver, yang sifatnya periodik dengan Sistem Pendukung Keputusan berbasis Profile Matching mampu meminimalisir kejadikan yang dikeluhkan penumpang..