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PERANCANGAN SISTEM SELEKSI ATLET BOLAVOLI MENGGUNAKAN METODE SAW PADA SEKOLAH BOLAVOLI KUSUMA BHIRAWA Taufiq Abidin; Yovi Litanianda; Andy Triyanto
KOMPUTEK Vol 5, No 2 (2021): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v5i2.828

Abstract

The basic technique of volleyball itself is one of the most important elements in the game of volleyball, without mastering good basic techniques, the game cannot be played perfectly, the basic techniques of volleyball include serving, passing, smash and block (dam). Based on an interview with Coach at SBV, Kusuma Bhirawa who coaches players at the age of U-18 teenagers, explained that the selection of athletes in participating in the event is carried out according to the coach's feelings during training. After making direct observations at the Kusuma Bhirawa volleyball school with the existing problems, a decision support system will be built for the selection of volleyball athletes using the SAW method. SAW (Simple Additive Weighting) is a method in a decision support system with a weighted summation of the performance ratings of each alternative on all attributes. The alternative that has the highest value is the best alternative proposed. The criteria needed by the SbV trainer Kusuma Bhirawa in anthropometric measurements are height, physical fitness test criteria consisting of 60 m running, 60 sec pull ups, 60 sec sit ups, vertical jump, 1200 m run. volleyball smash technique criteria, passing over, passing down, serving and blocking. From the results of the correlation test that has been tried to get the correlation of the recommendation of the core player list from the application system compared to the player list from the coach with a value of 83.3%. Therefore, these results show that the SAW method has a fairly good correlation when used to determine the selection of volleyball athletes 
IMPLEMENTASI TENSOR FLOW LITE PADA TEACHABLE UNTUK IDENTIFIKASI TANAMAN AGLONEMA BERBASIS ANDROID Muhammad Bagus Baihaqi; Yovi Litanianda; Andy Triyanto
KOMPUTEK Vol 6, No 1 (2022): April
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v6i1.1143

Abstract

Aglonema or sri fortune has various types with various shapes, patterns and colors. Various types and more and more due to the many crossing processes carried out by owners and lovers of aglonema plants. For ordinary people who do not have insight into aglonema, it will be difficult to distinguish aglonema plants because the shapes, patterns and colors have similarities. It takes a Teachable Machine system with a complex but more sophisticated method that is able to recognize plants with a higher level of accuracy. The machine learning process is carried out on a computer to identify image data into classification results in the form of predictions. Tensorflow lite is a machine learning library specially designed for object recognition. Therefore, researchers are encouraged to create an Android-based mobile application that is able to recognize aglonema plants quickly, easily and accurately. 
Fuzzy Method Design for IoT-Based Mushroom Greenhouse Controlling Angga Prasetyo; Moh. Bhanu Setyawan; Yovi Litanianda; Sugianti Sugianti; Fauzan Masykur
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 6 No 1 (2022): February 2022
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (490.632 KB) | DOI: 10.29407/intensif.v6i1.16786

Abstract

The ideal conditions for the oyster mushrooms growth are at a humidity of 65-75% and 29-31C during incubation, while the growth of stems should be at a humidity of 70-90% 29-32C. This ideal ecosystem is maintained by aeration and manual watering. Still, the results are not optimal in preventing damage to the mycelium during the incubation period, resulting in a decrease in crop yields. Automatic control has not created ideal conditions because air temperature and humidity regulation are only based on fans and sprayers that do not directly affect air conditions. Therefore, we need a method to manipulate the mushroom greenhouse space ecosystem, namely fuzzy logic, the application of fuzzy logic integrated with sensors, actuators, and microcontrollers with the Internet of Things to solve this problem. The results of the installation of fuzzy logic in the mushroom's greenhouse in this system can be seen from the fan's modulation response and the pump's duration. The test results of this control feature can manipulate temperature and humidity. Therefore, the oyster mushroom greenhouse produces an ideal state of 29.8C, the humidity of 68.97% RH, and the production has been proven to be optimal with an average daily harvest of 3.8kg.
OTOMASI IRIGASI JANGGELAN BERBASIS INTERNET OF THINGS Angga Prasetyo; Arief Rahman Yusuf; Yovi Litanianda
MULTITEK INDONESIA Vol 13, No 2 (2019): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.057 KB) | DOI: 10.24269/mtkind.v13i2.1763

Abstract

Internet and industrial revolution 4.0 brought influence in society, especially in agriculture, the changes that occurred were in farming activities by applying appropriate technology. This activity is much in demand, especially the planting irrigation process. However, the process of irrigation or irrigation that has used appropriate technology still has some shortcomings such as pumping and control hardware systems that are still stand-alone using a timer, so the automation and monitoring process is still semi-manual. As done in the cultivation of janggelan (black grass jelly), which focuses more on irrigation governance, because the janggelan requires water intake and fertilizer nutrition which is always monitored. In order for the device to function optimally, it is made a miniature tool based on the internet of things to facilitate control and monitoring via a smartphone. In order for the miniature tool can be integrated and function in real-time with the Internet of things, then all devices (YL 69 sensors, Relay, Board NodeMCU esp 8266 are given C language coding commands, via the Arduino ID interface. synchronization between the user interface, the miniature devices, and Internet networks running normally. IoT devices and internet networks can run normally. Sensor data is able to give the pump selenoid command to turn on under humidity conditions of less than 65%, while the pump is off at 40% humidity. The success rate of data sent on Google Firebase with an average total ping of 70.28% was all successful.
PERANCANGAN APLIKASI LOKASI TAMBAL BAN DI PONOROGO BERBASIS ANDROID Irfan Khoirul Arifin; Aliyadi Aliyadi; Yovi Litanianda
KOMPUTEK Vol 1, No 1 (2017): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.616 KB) | DOI: 10.24269/jkt.v1i1.113

Abstract

Jumlah kendaraan di Indonesia terus meningkat setiap tahunnya. Hal ini juga terjadi di Kabupaten Ponorogo. Hal tersebut juga akan berbanding lurus dengan banyak orang yang mengalami masalah dengan kendaraan mereka, seperti mendapati ban bocor karena tertusuk paku atau sebab lain. Dan juga akan meningkatkan kebutuhan jasa tambal ban. Bagi pengendara yang kurang mengetahui daerah sekitar ketika mengalami kerusakan ban motor, maka tentunya untuk mencari tempat tambal ban terdekat akan cukup menyulitkan. Oleh karena itu pada penelitian ini dikembangkan media informasi berupa aplikasi berbasis Android untuk memetakan lokasi – lokasi tambal ban yang ada di Ponorogo, sekaligus mencari tambal ban terdekat berdasarkan lokasi pengendara. Aplikasi ini berupa layanan berbasis lokasi (Location Based Service) kepada pengendara dengan memberitahu letak tambal ban terdekat berserta informasi terkait. Berdasarkan hasil pengujian aplikasi ini mampu membantu pengguna mencari tambal ban dalam bentuk peta lokasi – lokasi tambal ban, daftar bengkel tambal ban, dan daftar bengkel tambal ban terdekat beserta jarak dari lokasi pengguna. Aplikasi ini juga mampu menunjukkan informasi terkait sekaligus menunjukkan rute perjalanan dari lokasi pengguna dengan lokasi tambal ban yang dituju dengan memanfaatkan aplikasi google maps.