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Online learning is currently one of the popular learning concepts in schools. The results of online learning are still not as expected. This is due to the lack of reliability of teachers in mastering learning platforms and the lack of virtual meetings between teachers and students. Home Learning Indonesia (HLI) is a Learning Management System with virtual meetings and blockchain technology is an alternative to solving this problem. This research utilizes blockchain technology to minimize the shortcomings of existing virtual meeting platforms. In this study, testing HLI virtual meetings and several other platforms. The results of the HLI Virtual meetings test when the requests given are getting higher, and the throughput is decreasing following the number of requests given. These results can show that the use of blockchain in virtual meetings can increase network stability in its use.

The availability of blood stocks at the Indonesian Red Cross or Palang Merah Indonesia (PMI) is a must and absolute for institutions that organize the procurement and distribution of blood for medical purposes. The problem is that the blood stock in PMI Magelang City Branch is not ideally available in each blood type, especially blood type AB, which in recent years has been very minimal and difficult to obtain. The purpose of this study was to predict blood stock of type AB with software based on artificial neural networks backpropagation and Coherent tissues. Artificial Neural Network (JST) backpropagation is used to predict the stock supply of blood type AB. Meanwhile, Coherent is a network used to divide input patterns into groups. The application has a network structure consisting of 2 input neurons, 10 neurons in the hidden layer, and 1 and 1 neuron in the output layer. The total amount of data is 3 years (2015-2017), 2 years of data are used for training data, and 1 year of data is used for testing data. The engine predicts using a maximum iteration of 1,000 epochs, an expletive constant of 0.5, a momentum of 0.9, and a minimum error rate of 0.001. With variations in the value of the backpropagation component, a prediction of less than 140 bags per year is generated. Meanwhile, the resulting weight is predicted by the Coherent method and produces a prediction of the production of type AB blood stocks per month. Based on the results against 3 years of test data, the percentage of the system accuracy rate is 100%. The reduction of learning constants and the addition of training data systems may affect the accuracy of the system in making predictions.

The development of automation techniques has an impact on conveniences in people's lives. Nowadays people are busy with all activities and often make the condition of the house, especially the control of electricity and electronics in the house, less attentive, causing waste. This study aims to design a system for monitoring and controlling household electronic equipment with a web-based smart home system. The method used is sometimes an experimental method by implementing nodemcu ESP8266 as a processor to monitor and control household appliances with a website interface as a page for setting and controlling it. It is hoped that this system can make a reference for the development of other automation systems and can be used for energy saving models in the future.

The development of information and communication technology has been proactively addressed by Muhammadiyah. Muhammadiyah has modernized da'wah methods by utilizing ICT technology in every activity, but it is still limited to media commonly used by the public such as social media, the web on the Internet, and so on, so that it is still limited, partial, and has not been systematic and structured ally serves its people and is constrained in monitoring and evaluation. The use of web based systems can be a solution to develop locations or e-da'wah based on geography while answering problems in the management and branch of the Muhammadiyah region in monitoring and evaluating its activities. The research method used is to use quantitative methods to obtain primary data to find out the user's desire for e-da'wah in Muhammadiyah citizens while the observation method and survey questionnaire are used to evaluate the acceptance of Muhammadiyah member users to the use of e-da'wah applications that have been made. This research aims to design a framework for the concept of web-based e-da'wah applications. As a result, the e-da'wah application model developed on a web-based basis has received responses from 57% of respondents who find it easy to understand the studies presented in this e-da'wah media.

E-commerce business requires promotion in introducing its products. One of the media that can be used is social media. There is a lot of information provided on social media, one of which is User Generated Content (UGC). UGC is a user's track record on social media that can be seen by other users. Social media analysis is needed to see the pattern of interaction between the company and its customers from UGC which is widely spread on social media. This can be used as an insight for companies in helping product marketing on social media. The method used in analyzing the interaction pattern of UGC in social media is Social Network Analysis (SNA). Social network modeling can help e-commerce businesses to understand the interaction patterns that occur on social media. The findings in this study show that the social network that is superior is the interaction social network regarding Lazada. Research also shows the key players for each e-commerce.

The teaching and learning process is a process that involves participants and educators. The teaching and learning process will be successful if there is interaction between the two parties. Along with the development of information technology, especially the internet in information systems, the teaching and learning process has utilized information technology both from elementary, secondary and higher education levels. Especially for higher education which requires students to be more independent and active in the learning process, information technology is considered very helpful for students. As one of the information technology-based universities, STIKOM Bali utilizes e-learning to support the learning process. Lecturers and students are required to use and utilize e-learning as a means to share information related to lecture materials, assignments, quizzes, discussion forums and others. One of the goals of implementing e-learning in lectures is to increase student learning motivation so that learning achievement will be better. It is also hoped that students will be more interested in the lecture process. One of the things that affect student learning motivation is learning media. The learning media referred to in this study is e-learning learning media. The long and stable application of e-learning at STIKOM Bali is thought to be one of the drivers of student learning motivation. The research method used in this research is problem definition, data collection, data analysis and conclusion drawing. Based on the results of hypothesis testing with H1 hypothesis regression with a significance value of 0.000 and a t-count of 4.015 proven, so that it is concluded that according to STIKOM Bali students e-learning affects student learning motivation.

In December 2019, SARS-CoV-2 caused the coronavirus disease (COVID-19) to spread to all countries, infecting thousands of people and causing death. COVID-19 causes mild illness in most cases, although it can make some people seriously ill. Therefore, vaccines are in various phases of clinical progress, and some of them have been approved for national use. The current state of affairs reveals that there is a critical need for a quick and timely solution to the need for a Covid-19 vaccine. Non-clinical methods such as data mining and machine learning techniques can help to do this. This study will focus on US COVID-19 Vaccination Advances using Machine learning classification algorithms and Using Geospatial analysis to visualize the results. The paper's findings indicate which algorithm is better for a given data set. Naive Bayes algorithm is used to run tests on real world data, and is used to analyze and draw conclusions. Period of Accuracy and performance, and it was found that Naive Bayes is very superior in terms of time and accuracy.

The current COVID-19 pandemic requires everyone to limit their activities outside home. This situation also affects the learning process, which requires students and teachers to do their work from home without having to meet face to face following the government policies in schools. Therefore, they must use electronic learning (e-learning) to solve these problems. However, this e-learning model has not been well responded by teachers for learning activities. The research examines the readiness of Learning Object Materials (LOM) during the pandemic at two vocational schools in Magelang. To assess the teachers’ readiness, a mixed-method is used, namely qualitative and quantitative methods. Interview and technical assistance are also done in the research. The results show how the material can be completed using the available time so that the teachers can focus on deepening the material and increasing correspondence. The use of free software using a computer can answer the e-learning model. Moreover, after mentoring, there is a 27% increase in understanding about LOM materials. However, it is also found that teachers are not ready and do not understand how to start online learning and use elearning. There are problems in knowledge, the Internet, the LOM process, facilities and infrastructures, as well as the combination of theory and practice.

We are investigating the evolution of four big US stock market indexes' regular returns after the 2000 technology crash and the 2007-2009 financial crisis. Our approach is based on topological data processing (TDA). To identify and measure topological phenomena occurring in multidimensional time series, we use persistence homology. We obtain time-dependent point cloud data sets using a sliding window, which we connect a topological space for. Our research indicates that a new method of econometric analysis is offered by TDA, which complements the traditional statistical tests. The tool may be used to predict early warning signs of market declines that are inevitable.

Pembelajaran berbasis daring saat ini masih menjadi momok bagi sebagian guru karena adanya keterbatasan pengetahuan tentang teknologi informasi dan komunikasi yang dimiliki oleh guru. Pelatihan peningkatan kemampuan pemanfaatan TIK diperlukan bagi guru agar dapat membuat dan menciptakan konten-konten pembelajaran yang menarik dan interaktif sehingga dapat merangsang siswa dalam memahami materi pembelajaran. Tujuan dari kegiatan ini adalah memberikan pelatihan pembelajaran berbasis pemanfaatan teknologi informasi dan komunikasi kepada guru agar bisa memanfaatkan sebaik mungkin teknologi tersebut sebagai bahan mengajar secara optimal. Metode yang digunakan dalam kegiatan ini adalah teacher center yaitu instruktur akan memberikan materi kepada peserta (guru) dengan simulasi seperti guru yang mengajar kepada murid dengan kata lain kita yang menjadi guru untuk memberikan ilmu tersebut. Kesimpulan dari kegiatan ini peserta/guru dapat memahami tentang pembelajaran berbasis teknologi informasi dan komunikasi secara konseptual dan praktik sehingga mampu untuk menerapkan pembelajaran tersebut untuk penerapan pembelajaran secara daring.

Nightly flower plants are one of the flower plants that are much in demand by the public. However, as time goes by the production of savory flower plants determines which one of the causes is caused by pests and diseases. Introduction of pests and diseases and its control sometimes not all farmers know it. This research develops an expert system that can help farmers diagnose pests and diseases that attack night flowering plants with the Dempster Shafer method. The results of this study are the application of an expert system that uses pests and tuberose flower diseases. This system will issue this edition to the publication of night flower pests and diseases inputted by users. The amount of this trust value is the result of calculations using the Dempster Shafer method. The conclusion in this study is that an expert system using the Dempster Shafer method for approval to release pests and diseases of the nightly flower plants is very helpful in overcoming the problem of improving the quality of the nightly flower production.

E-learning is one of the most popular learning media at this time, by using e-learning education is expected not to span distance and time, so that education can be impressed anytime anywhere using the internet. After conducting research, the authors chose moodle as an e-learning application that will be used because moodle has many advantages both in managing questions to the level of user authentication coupled with good data security. By using moodle, the correction process that used to take a lot of time now is no longer. Even more practical and easier. The author in conducting research using the method of observation, research, analysis, planning, design, testing or testing and implementation It is hoped that the learning that has been created can continue to be used to support learning in SMP Negeri 2 Gombong. The results of the research are Moodle-based e-learning. This learning has been applied in SMP Negeri 2 Gombong, Kebumen Regency. Functionality testing has also been carried out by Admin, Teachers and Students. The results of tests carried out, in terms of logins, user management, question management, features to logout have all been said to be successful. This e-learning learning system can have a good impact on improving the quality of education in SMP Negeri 2 Gombong.

Public transportation is currently starting to experience very rapid development. This development is due to the increasing public demand for safety and comfort on the journey. Presentation of bus ticket availability information at this time is still manual, so potential users must come to the agent to find out the availability of tickets and make ticket reservations so that it is not uncommon if there are users who run out of bus tickets because the user does not get information directly. To facilitate prospective users in booking tickets and searching for bus departure information, an Android-based bus ticket booking application was built. This application was designed using MySQL, Adobe Dreamweaver and Android Studio. The system development method used in this study is the prototyping method. As for the testing method using BlackBox Testing. This method is used to find out if there are performance errors on the system. The purpose of this application is to make it easy for prospective bus users to search for buses and order tickets so they can be done anywhere and anytime without being bound by time and place.

Survei kepuasan stakeholder merupakan salah satu cara yang dilakukan institusi dalam mengontrol sebaran alumni yang telah bekerja pada instansi/institusi di wilayah tertentu. Kualitas alumni perguruan tinggi termasuk gambaran yang dapat dijadikan acuan kualitas Sumber Daya Manusia (SDM) dari institusi pendidikan tersebut. Selama ini survei kepuasan pelanggan dilakukan dengan cara menyebarkan angket kuisioner kepada seluruh stakeholder, dan harus mendatangi langsung tempat alumni bekerja. Hasil dari kuisioner yang telah disebarkan, kemudian dikumpulkan kepada pihak kemahasiswaan untuk dilakukan perhitungan agar mendapatkan nilai rata-rata hasil kepuasan stakeholder berdasarkan alumni yang bekerja di instansinya. Dengan semakin berkembangannya teknologi informasi pada internet dan web, memungkinkan untuk dapat dirancang sebuah sistem survei kepuasan stakeholder alumni yang berbasis web, agar memudahkan stakeholder dalam pengisian kuisioner karena dapat diisi dimana dan kapan saja. Penelitian ini menghasilkan sistem survei stakeholder, yang dapat memonitoring kualitas alumni didunia kerja berdasarkan hasil penilaian dari stakeholder tempat alumni bekerja. Dari hasil uji coba acceptance testing yang dilakukan kepada stakeholder maka didapat hasil penilaian 67% yang artinya responden cukup puas dengan sistem.

Taekwondo Cup merupakan salah satu event kejuaraan taekwondo yang diadakan setahun dua kali oleh pengurus cabang taekwondo di Kota Magelang. Sistem pendaftaran secara manual dalam perlombaan taekwondo cup memiliki banyak kekurangan yaitu pembengkakan kuota peserta pertandingan. Tujuan dari penelitian ini untuk merancang sistem informasi pendaftaran untuk memudahkan peserta dan penyelenggara dalam melakukan proses pendaftaran dan pembuatan laporan peserta sesuai kuota pertandingan. Dengan jumlah peserta yang besar dan tersebar di beberapa provinsi di jawa membuat kejuaraan ini membutuhkan sistem informasi. Metode yang digunakan dalam pembuatan sistem informasi ini menggunakan metode filterisasi. Pengujian penelitian dengan metode Black Box Testing yang diterapkan sekertaris pengurus cabang, menghasilkan kesimpulan bahwa sistem yang dibangun telah memenuhi kebutuhan pengadaan sistem informasi yang membantu proses pendaftaran dan mengelola data peserta serta persiapan. Sehingga penyelenggara tidak membutuhkan waktu yang lama dalam pembuatan laporan.

PT Sinar Niaga Sejahtera (SNS) mendistribusikan snack ringan dari produk-produk garudafood. Setiap toko berhak menentukan harga barang dagangannya masing-masing. Apabila harga yang ditentukan terlalu tinggi, akan mengurangi minat pembeli terhadap barang tersebut. Berkurangnya minat ini akan menyebabkan menurunnya jumlah omset penjualan yang dihasilkan oleh pihak distributor. Penelitian bertujuan untuk membuat aplikasi yang menujukkan harga eceran tertinggi (HET) suatu produk dari garudafood. Aplikasi ini dapat menjadi dasar dari petugas marketing untuk memberikan informasi kepada pedagang mengenai HET produk serta memanfaatkan kamera smartphone berbasis android dengan menscan barcode EAN-13 yang ada dalam kemasan produk dengan menggunakan metode Thresholding. Metode Thresholding ini berfungsi untuk membaca bar berdasarkan pixel hitam dan putih selanjutnya dihitung agar mengetahui nilai dari barcode tersebut. Barcode yang telah diketahui nilainya akan dikonversi untuk mengetahui kode pabrik produsen barang agar dapat ditampilkan HET-nya. Metode ini melakukan scan batas kode batang untuk selanjutnya dikonversi menjadi kode angka sehingga tidak membaca bagian lain selain barcode, untuk menghindari kesalahan penghitungan. Hasil dari penelitian ini adalah berupa aplikasi yang berbasis android untuk pemindaian barcode dan sistem yang berbasis web untuk mempermudah admin dalam pengolahan data. Dari penelitian ini dapat disimpulkan menjadi sistem yang dirancang dan dibangun dapat memberikan kemudahan kepada petugas marketing dengan menggunakan kamera smartphone berbasis android, guna memberikan informasi tentang harga eceran tertinggi kepada pedagang, agar tidak memberikan harga melebihi dari ketentuan distributor kepada konsumen.

Guru mempunyai hak kenaikan pangkat sesuai dengan angka kredit yang telah ditentukan. Penetapan angka kredit (PAK) guru dihitung berdasarkan Daftar Usul Penetapan Angka Kredit Guru (DUPAK) yang diusulkan oleh guru, yang kemudian di nilai dan di evaluasi oleh Tim Penilai. Perhitungan angka kredit baik dalam PAK maupun DUPAK masih menggunakan cara manual, sehingga baik guru maupun tim penilai harus menghitung setiap unsur angka kredit berdasarkan rumus yang telah ditentukan dengan cermat dan teliti. Untuk mengatasi masalah tersebut, dibangun suatu sistem penetapan angka kredit yang dapat membantu melakukan verifikasi dan validasi angka kredit yang diajukan oleh guru, sehingga proses perhitungan angka kredit menjadi cepat dan akurat. Sistem baru yang dibangun berbasis web, yang di dalamnya memuat semua unsur kegiatan yang dinilai angka kreditnya, setiap user memasukkan data, sistem secara otomatis akan melakukan perhitungan dan pengelolaan datanya terintegrasi sehingga tim penilai tidak perlu lagi melakukan entry data. Secara prosedur sistem lama dan sistem baru tidak jauh berbeda, perbedaan yang mendasar yaitu sistem yang baru menggunakan teknologi komputer berbasis web dalam pengelolaan datanya sehingga dapat mempersingkat proses entry data dan dapat mengatasi kendala dari sistem lama.