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Sistem Informasi Pengelolaan Zakat Fitrah dan Donasi pada Masjid Jami’ Al Jannah Menggunakan Metode Rule Based Berbasis Android Rahmat Robi Waliyansyah; Galih Hermawan; Bambang Agus Herlambang
Walisongo Journal of Information Technology Vol 4, No 1 (2022): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2022.4.1.10350

Abstract

Hukum menunaikan zakat fitrah adalah wajib bagi setiap muslim dan muslimah yang telah memenuhi syarat tertentu. Dengan adanya kemajuan teknologi yang semakin pesat, maka hampir segala pekerjaan menggunakan jasa komputer. Berdasarkanhal tersebut Remaja Masjid Jami’ Al Jannah merasa perlu menggunakan jasa teknologi informasi untuk membantu pekerjaan dalam melakukan pendataan penerimaan dan penyaluran zakat fitrah dan donasi, Saat ini, Remaja Masjid Jami’ Al Jannah masih menggunakan pendataan manual yaitu dengan menerima kertas kemudian membuat rekap dengan menggunakan buku. Jika menggunakan cara ini sering terjadi ketidakakuratan data yang ada pada kertas hasil pemeriksaan dengan buku rekap sehingga remaja masjid harus berulang - ulang melakukan pengecekan data yang memakan waktu dan tenaga. Dalam menganalisis perhitungan zakat fitrah dengan merancang sistem informasi manajemen pengeloaan zakat fitrah dan donasi yang dapat diakses secara online berbasis mobile dengan menggunakan permodelan UML (Unified Modellling Languange) dengan database Mysql dan bahasa Pemrograman Java sehingga analisis sistem informasi perhitungan zakat fitrah dapat diimplementasikan dengan memanfaatkan oleh umat islam berbasis mobile. Sistem telah diuji dengan Black Box dengan hasil 100% yang berati sistem sudah memenuhi tujuan perancangan dan hasil User acceptance test (UAT) mendapatkan rata-rata 84% yang berati bahwa software dapat diterima dan sudah memenuhi kebutuhan yang diminta. Uji coba dilakukan oleh lima tipe smartphone berbeda, yaitu : Android Lolipop 5.0, Android Marshmallow 6.0, Android Nougat 7.0, dan Android Oreo 8.0 fungsi menu dan tampilan dapat berjalan dengan baik.
Implementation of Multiple Intelligences Determinant Applications for Junior High School Students Using Web-Based Likert Scale Method Aris Tri Jaka Harjanta; Rahmat Robi Waliyansyah; Zainal Arifin
Journal of Applied Science and Technology Vol 2, No 02 (2022): Juli 2022
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jast.2.02.1-8

Abstract

Multiple intelligences or commonly called multiple intelligences are various skills and talents that students have to solve various problems in learning. The problem in this research is how is the process of developing applications for determining multiple intelligences for junior high school students using the method web-based Likert scale?, how is the feasibility of the application for determining multiple intelligences for junior high school students using the web-based Likert scale method?, and how is the effectiveness of using the application for determining multiple intelligences for junior high school students using the web-based Likert scale method?. In the development of this web-based application system using the PHP programming language and MySQL database. This type of research is research and development (R&D) with the Likert scale method. With a population of 21 students of SMP Negeri 2 Sayung Demak and a sample of 21 students of class VIII F. Based on the User Acceptance Test for students, it produced a number of results covering several aspects, namely in terms of usability, in terms of convenience and in terms of appearance, it produced an average percentage of 84%. These results are included in the criteria for strongly agree.
Implementasi Metode Gray Level Co-occurrence Matrix dalam Identifikasi Jenis Daun Tengkawang Rahmat Robi Waliyansyah; Kusworo Adi; Jatmiko Endor Suseno
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 1: Februari 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1139.589 KB)

Abstract

Tengkawang or known as Borneo tallow nut is now difficult to find due to unsustainable forestry practices and high levels of forest destruction. The method used in this research was pattern recognition. The process of identifying Tengkawang plants was carried out through this process: image acquisition, image cutting and background removal of tengkawang leaf image, RGB image conversion of tengkawang leaf into gray scale, threshold limit determination with certain value, feature extraction with GLCM method (spatial distance 1, 2, and 3 pixels), and morphology, so the pattern of Tengkawang leaf image could be obtained. The image pattern was classified using Back Propagation Neural Network algorithm. The output is a software for identifying the types of tengkawang leaf. The results of identification testing of non-tengkawang leaf species show that using a total of 16 random samples of test images, an accuracy of 87.5% is obtained. The identification rate of tengkawang leaf image with spatial distance of 1, 2, and 3 pixels from total 24 random sample of test image shows 100% accuracy level. Training with 2 pixel spatial spacing has the lowest iteration, i.e. 10 iterations. The result of identifying damaged tengkawang leaf image on the edge has an effect on the extraction of morphological characteristics.
Waste Bank Data Management Information System with Web-Based Telegram Bot Notification Feature at Mawar Garbage Bank Waliyansyah, Rahmat Robi; Novita, Mega
Journal of Intelligent Computing & Health Informatics Vol 2, No 1 (2021): March
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v2i1.7930

Abstract

The Mawar Garbage Bank needs a waste bank data management information system with a Web-based Telegram Bot notification feature on the Garbage Bank. The goal is to provide convenience to the officers of the Mawar Garbage Bank to speed up the process of managing data and delivering information in an effective and efficient manner to customers. This research uses the waterfall method. By using a MySQL database, PHP programming language and Laravel Framework. As well as diagrams used for system modeling using the Unified Modeling Language (UML). With this system, it is hoped that it can make it easier to manage data and provide information about the waste bank which is useful for the Mawar Garbage Bank. This research will be tested using Black Box, White Box and User Acceptance Test (UAT). As for the notification using a telegram bot. The notification from the telegram bot aims to make it easier for customers to find information such as balances, savings flows, and cash withdrawals. From the black box test, you get 100% results, which means that the system has met the design objectives, so this system is suitable for use. White box test results get 100% results with the resulting complexity is 2 which shows that it can meet the criteria for software engineering. The results of the user acceptance test (UAT) test get a 98% result, which means that the software is acceptable and has met the requested needs.
IMPLEMENTATION SIMPLE ADDITIVE WEIGHTING METHOD IN DETERMINING FEASIBILITY SACRIFICIAL ANIMALS Saputro, Nugroho Dwi; Waliyansyah, Rahmat Robi; Novita, Mega
Jurnal Transformatika Vol. 20 No. 1 (2022): July 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v20i1.4542

Abstract

Many things from the life sector have used the existence of technology. Where a technology is able to help various problems in various fields such as livestock and agriculture. Computers have been included in it as a tool to do a job or identify existing problems. However, sometimes as a practitioner in the field of animal husbandry, especially qurban animals, they come to the conclusion that it is often found that sacrificial animals in the market that want to be sacrificed do not meet the requirements both in syari ah (law) and health. With the application of determining the feasibility of sacrificial animals according to the Syariah using the web-based Simple Additive Weighting (SAW) method. This system is later expected to be able to determine whether or not a sacrificial animal will be sacrificed so that the community or people who sacrifice are not harmed and the reward for the sacrifice is perfect.