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Muhammad Amin
Universitas Islam Indragiri
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PENGEMBANGAN SISTEM INFORMASI STOK BARANG PADA TOKO MATRIX KOMPUTER Muhammad Jibril; Muhammad Amin
JURNAL PERANGKAT LUNAK Vol 4 No 2 (2022): Jurnal Perangkat Lunak
Publisher : Indragiri Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jupel.v4i2.1993

Abstract

A sales store on a large scale must have a lot of processing regarding inventory data. Fast and accurate handling is needed considering that the amount of inventory is not small. To help reduce errors and speed up data processing, a computer is needed. With this tool, it is hoped that a sales store can take the benefits and apply it to the store so that it is easy to get information about the data of goods at that time. The purpose of this paper is to create an inventory information system so that daily activities can run smoothly. The data collection method used to obtain data is to use field studies and literature studies carried out with a library research process that is adequate, supportive and relevant to these problems. With computerization, the processing of data entry, inventory, and expenditure of goods, as well as the calculation of the number of goods that have been issued can be faster and the possibility of errors is very small, the time required is also more efficient.
SISTEM INFORMASI PEMESANAN PADA WARKOP PAK DE BERBASIS WEB Muhammad Jibril; Muhammad Amin
JURNAL PERANGKAT LUNAK Vol 5 No 2 (2023): Jurnal Perangkat Lunak
Publisher : Indragiri Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jupel.v5i2.2566

Abstract

Warkop is a place that is easy to find in almost all areas, from traditional coffee shops to modern coffee shops like Starbucks. The habit of drinking coffee and spending time in coffee shops while enjoying the various facilities available seems to have become a lifestyle for people from all walks of life. Warkop Pak de located in Tembilah City Jl. Banyan Stadium venue. This Warkop Pak De provides a variety of food and drink menus, besides that Warkop Pak De is a place to gather either with friends or even workers and play track, play games, chat, talk about all kinds of things, and so on. This warkop pack is located on Jl. Banyan Stadium still uses manual work methods. So that the service system at Warkop Pak De is still experiencing problems, namely when the buyer has decided on the menu he wants to order, the buyer has to wait a long time for the arrival of the waiter to record orders or take a written order list which often occurs when there are many customers, double orders or redundancies, out of order. orders from customers due to the accumulation of order notes which often occurs when there are many customers and when ordering a lot of them sometimes experience food delivery errors at the table. Based on these problems, to overcome the errors that exist in Pak De Warkop, it is necessary to develop a web-based application to facilitate the work process on Pak De Warkop, especially in ordering and service. With the existence of a web-based application, it is possible to make mistakes that often occur in the Warkop Pak de. So that manual work that is prone to errors and is less efficient can be reduced by the "Design of a Web-Based Service Information System at Warkop Pak De". The results of the design of the ordering system at the web-based warkoppak de can make menu orders using a web-based application at each table and customers can access web-based applications so that they can attract customers to visit the warkoppak de. For business owners, it can improve the operation of a computerized ordering system and for customers it can simplify the process of ordering food with the web, as well as provide a new experience for customers for the services they get.
PENGKLASIFIKASI BIBIT KELAPA MENGGUNAKAN ALGORITMA DEEP LEARNING CONVOLUTIONAL NEURAL NETWORK Muhammad Amin; Asniati Bindas
JURNAL PERANGKAT LUNAK Vol 6 No 3 (2024): Jurnal Perangkat Lunak
Publisher : Indragiri Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jupel.v6i3.3654

Abstract

Penelitian ini bertujuan untuk membangun sistem klasifikasi bibit kelapa menggunakan CNN, target khususnya yaitu menyusun sistem klasifikasi bibit kelapa menggunakan CNN, melakukan identifikasi bibit kelapa yang berdasarkan warna RGB dan bentuk, membangun sistem klasifikasi bibit kelapa menggunakan CNN, melakukan evaluasi sistem klasifikasi yang dibangun, memberikan gambaran teknik pengolahan citra digital dan CNN untuk klasifikasi bibit kelapa, memberikan informasi klasifikasi bibit kelapa ke dalam bentuk kelas grade A1, A2, B1 dan, B2 sebagai bentuk luaran dari sistem klasifikasi bibit kelapa, mengevaluasi sistem klasifikasi yang dibangun. Hasil penelitian menunjukkan nilai loss = 0.0965, dengan accuracy = 0.973, validation loos = 0.087, dan validation accuracy = 0.965. Karena akurasi mendekati nilai 1, maka proses training, validasi, dan testing dinyatakan berhasil dalam mengklasifikasikan bibit kelapa. Selain itu, pengujian lapangan menunjukkan hasil yang memuaskan dengan tingkat keberhasilan deteksi bibit kelapa 99% akurasi. CNN dengan model Mobile Net versi 2 mampu mengklasifikasikan citra gambar dengan efektif, menunjukkan kemampuan pengolahan informasi yang optimal. Penelitian ini diharapkan dapat membantu petani dalam mengenali klasifikasi bibit kelapa mereka dengan lebih mudah.
DETEKSI DAN KLASIFIKASI HAMA DAN PENYAKIT TANAMAN KELAPA MENGGUNAKAN NEAREST MEAN CLASSIFIER DI KABUPATEN INDRAGIRI HILIR Abdul Muni; Muhammad Amin
JURNAL PERANGKAT LUNAK Vol 6 No 3 (2024): Jurnal Perangkat Lunak
Publisher : Indragiri Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jupel.v6i3.3655

Abstract

Tanaman kelapa di Kabupaten Indragiri Hilir menghadapi masalah serius akibat serangan hama dan penyakit (OPT) yang mengakibatkan penurunan produktivitas dan kerugian ekonomi bagi petani. Kendala utama dalam penanganan OPT adalah sulitnya melakukan deteksi dan klasifikasi secara cepat dan akurat. Untuk mengatasi masalah ini, penelitian ini mengembangkan sistem klasifikasi OPT pada tanaman kelapa menggunakan metode Nearest Mean Classifier (NMC). Metode ini menggunakan citra digital tanaman kelapa untuk menghitung kemiripan antara citra uji dan data latih berdasarkan jarak Euclidean. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu mengklasifikasikan OPT dengan akurasi tinggi. Pada kelas Bercak Daun, rata-rata jarak yang dihasilkan adalah 75,54 dengan simpangan baku 24,74, sedangkan pada kelas Akar Jatuh, rata-rata jaraknya adalah 22,97 dengan simpangan baku 6,20. Secara keseluruhan, sistem menunjukkan persentase akurasi tertinggi sebesar 89,87% untuk kelas Bercak Daun dan 14,12% untuk kelas Busuk Daun. Sistem ini memberikan solusi yang efisien bagi petani dalam mendeteksi OPT dan diharapkan dapat meningkatkan produktivitas kelapa di Kabupaten Indragiri Hilir.
Co-Authors Abdul Muni Asniati Bindas Azwir Maulana Darmawan Eki Pirnanda Elfi Yenny Yusuf Endy Sudeska Fitri Yunita Ilyas, Ilyas Intan Sari Jibril, Muhammad Khairul Ihwan, Khairul Nelva Siskawati Novrizal Nur Nur Khasanah Putri Ulandari Rika Miranda Gustiani Rika Risma Asriati Siti Wardah Syafrizal Taher Syafrizal Thaher Vanza Trijoergi Zulrahmadi