Adi Suheryadi
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Penerapan Sistem Absensi Sekolah Menggunakan Fingerprint Terintegrasi Dengan Smartphone Android A Sumarudin; Willy Permana; Adi Suheryadi; Kikis Maulana; Noufal Ibrahim
Journal of Applied Informatics and Computing Vol 3 No 1 (2019): Juli 2019
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (985.9 KB) | DOI: 10.30871/jaic.v3i1.1051

Abstract

The need of student attendance information in schools is a major factor in success of the academic process. Often there are validation and identification errors in the student attendance process (human error or manipulation process) as well as the slowness of information obtained, since the attendance is recorded manually in each class. This has an impact on success of the academic process directly and the community at large. Because the importance of attendance information, various studies have offered the system in the process of student attendance, with various technologies. One popular technology and believed to be validating and identifying well is the fingerprint. Therefore, this paper proposes the introduction of attendance system in schools by utilizing fingerprint technology integrated with android smartphone so that information can be delivered quickly. This study use Fingerprint X-100C as a means of identification of student data at the time of absence then the attendance data will be sent to the system database by SOAP (Simple Object Access Protocol) Web Service. The system will validate and transmit that information on the android Smartphone via the newly created XML Service. The success rate of this system in processing absence reach around 90,47% with delay time of sending information 0.0024 s This system has been tested and applied to SMK N 1 Indramayu.
Aplikasi Penghitung Kendaraan Pada Jalur Pantura Menggunakan Blob Deteksi Dan Kalman Filter A Sumarudin; Darsih Darsih; Iryanto Iryanto; Adi Suheryadi
Journal of Applied Informatics and Computing Vol 3 No 1 (2019): Juli 2019
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1164.935 KB) | DOI: 10.30871/jaic.v3i1.1050

Abstract

Jalur puntara jawa merupakan jalan raya wilayah utara jawa membentang dari merak sampai ke banyuwangi. Jalur pantura ini merupakan jalur padat yang dilalui oleh kendaraan baik roda 4 maupun lebih. Beban jalan pantura per tahun mencapai 1 juta ton. Selain itu juga dengan beban ini merupakan penyumbang penggunaan BBM (bahan bakar minyak) yang lebih sebesar 42 ribu kiloliter dan mengakibatkan pemberi emisi udara cukup banyak sebesar 350 ton per hari. Dengan demikian semakin banyak kendaraan yang melintas jalur pantura, sehingga perlu diketahui tentang jumlah kendaraan yang melintas dijalur pantura secara otomatis oleh sistem. Data ini dapat dijadikan rujukan beban jalan pantura secara tepat. Pada penelitian ini, menggunakan beberapa algoritma dari blob detection dengan menggunakan library openCV dan kalman filter. Hasil dari deteksi dengan menggunakan bolb deteksi masih terdapat beberapa error yang cukup besar dan menggunakan kalman filter didapatkan 78.81 %.
Aplikasi Monitoring dan Prediksi Harga Komoditas Pasar Daerah Indramayu Berbasis Fuzzy Time Series A Sumarudin; Adi Suheryadi; Bahrainsyah Oksareinaldi; Lia Nurfadilah
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 1 No 1 (2020)
Publisher : Jurusan Teknologi Informasi - Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.182 KB) | DOI: 10.30630/jitsi.1.1.4

Abstract

Based on data presented by the National Strategic Food Price Information Center on Monday (6/5/2019), all food commodity prices rose. Wear prices affect people's purchasing power and the main raw materials in the area. To overcome this problem, it is necessary to think that to create a site-based application that can monitor food prices and can predict food price increases, predictions are expected to be a purchasing decision support system to control prices. The methodology used in this application is V Model, the programming language used is PHP using the Laravel 5.8 framework to develop the application. This application uses the Fuzzy Time Series method, which is to forecast or predict the price of commodity types. Is to provide information related to commodity prices in the market, also predict the price of commodity types for the months ahead, this is intended to take action to compile a sudden increase in price. From the test results the estimated price uses the average absolute error percentage (MAPE). And the prediction results obtained with a MAPE value of -0.013%.