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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Ilmu Komputer Aceh
Munar Munar
Universitas Almuslim
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Mechanical Engineering Neuroscience Transportation

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Perancangan Sistem Informasi Penjualan pada Warung Mie Aceh Berbasis Web Munar Munar
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 2 (2025): April 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i2.8944

Abstract

Abstrak - Mie Aceh adalah salah satu jajanan favorit masyarakat Aceh. Saat ini, warung Mie Aceh bisa ditemukan di berbagai kota di Indonesia, bahkan di negara tetangga. Menghadapi persaingan penjualan yang semakin ketat, Warung Mie Aceh menjual berbagai makanan dan minuman khas Aceh serta nasional. Sistem penjualan yang digunakan masih bersifat manual, dimana pembeli harus datang langsung ke warung untuk pemesanan dan mengetahui tentang harga. Sistem ini telah diperbarui dengan pembuatan Sistem Informasi Penjualan berbasis online, yang diharapkan mempermudah masyarakat dalam membeli produk jajanan yang tepat dengan tidak harus datang langsung ke warung, juga untuk memperlebar areal pemasaran dan meningkatkan kepuasan pelanggan. Usaha ini dikembangkan menggunakan sistem berbasis web dengan software yang dirancang menggunakan Bahasa Pemrograman PHP dengan Database MySQL. Aplikasi ini juga dapat memberikan informasi mengenai kategori produk jajanan yang dijual serta informasi tambahan untuk pelanggan.Kata Kunci: Perancangan, Sistem Informasi, Mie Aceh, Web, PHP, MySQL. Abstract - Acehnese noodles are a popular snack among the people of Aceh. Currently, Mie Aceh eateries can be found in various cities across Indonesia and even in neighboring countries. Due to the increasing competition in the market, Warung Mie Aceh, a stall offering a variety of Acehnese and national dishes, operates using a conventional sales system, where customers must visit the shop in person to place orders and check prices. This system has been improved by introducing an online-based sales information system for Acehnese noodle stalls, which aims to make it easier for customers to purchase snack products without needing to visit the shop physically. It also helps expand marketing reach and enhance customer satisfaction. This business utilizes a web-based system, developed with PHP and MySQL, to design and manage applications. The system also provides information on product categories and snacks, as well as additional details for customers.Keywords: Design, Information Systems, Mie Aceh, Web, PHP, MySQL
Implementasi Metode Tesseract Optical Character Recognition (OCR) pada Kasus Pengawasan Transportasi Darat Farida Hanum; Imam Muslem; Munar Munar
Jurnal Ilmu Komputer Aceh Vol 2 No 3 (2025): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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Abstract

Vehicles are a means of transportation that can be used to facilitate the activity of moving from one place to another. Each vehicle has its own characteristics, namely the vehicle license plate. The vehicle license plate is the identity of a motorized vehicle that has a unique serial number in the form of numbers and letters. The license plate contains the area code, police number and related area. To be able to identify the vehicle license plate number so that it is easily recognized, the author uses the Tesseract Optical Character Recognition (OCR) method. The Tesseract Optical Character Recognition (OCR) method is a method that can convert images into text form which aims to make it easier to identify the text contained in the image. In this study, the testing process was carried out in 2 ways, namely image upload and real-time video capture. The test results using the image method produced a very good text reading success rate from images of 98%, while testing using the real-time video capture method produced a text reading success rate from images of 54.9%
Klasterisasi Calon Mahasiswa Baru Universitas Almuslim Menggunakan K-Means Clustering Noratul Iqramah; Imam Muslem; Munar Munar
Jurnal Ilmu Komputer Aceh Vol 2 No 3 (2025): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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Abstract

The diverse academic backgrounds of prospective new students at Almuslim University often present challenges in determining the appropriate field of study. Determining the field of study is crucial because choosing the wrong study program can impact the learning process and the development of students' potential during their studies. Selecting the right field of study allows students to learn optimally and prepare themselves for the world of work according to their interests and abilities. It can also assist the university in recommending study programs with appropriate fields of study to develop a more targeted admission strategy. This study applies the clustering method with the K-Means algorithm to help group prospective students into two fields of study: science and social science. This field grouping is based on 1000 prospective new students' data with attributes of diploma grades (Mathematics, Science, Indonesian, and Social Studies), test scores, and field interests. The analysis process carried out using the K-Means clustering method on Google Colab resulted in a calculation of 17 iterations, C1 (science) with a total of 518 people who have higher interests and values in the field of science, and C2 (social) with a total of 482 people who have higher interests and values in the field of social. This division confirms that the K-Means algorithm is able to group data based on the characteristics in the dataset. With these results, K-Means Clustering is proven effective in grouping prospective students of Almuslim University based on their academic background and interests
Analisis Sistem Pakar dalam Deteksi Kerusakan dan Penerapan Decision Support System pada Kualitas Mesin Mobil Iskandar Zulkarnaini; Edi Yusuf; Dasril Azmi; Munar Munar
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 9 No. 2 (2025): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2025
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/.v9i2.26031

Abstract

Penerapan Sistem Pakar dalam deteksi kerusakan mobil dan penerapan Decision Support System (DSS) untuk menilai kualitas mesin mobil. Sistem pakar digunakan untuk mendiagnosis kerusakan berdasarkan gejala yang dilaporkan oleh pengguna, sedangkan DSS diintegrasikan untuk mendukung pengambilan keputusan yang lebih efisien dalam menentukan langkah-langkah perbaikan yang tepat. Metode penelitian ini berbasis pengetahuan berbasis aturan untuk mengidentifikasi masalah potensial, dan model inferensi probabilistik digunakan untuk menghitung tingkat keparahan kerusakan berdasarkan data yang masuk. Metode forward chaining digunakan untuk menghubungkan gejala dengan diagnosis kerusakan, sedangkan logika fuzzy diterapkan untuk menangani ketidakpastian dalam penilaian gejala. Hasil dari penelitian menunjukkan bahwa DSS mampu memberikan rekomendasi perbaikan yang efisien dan akurat, dengan tingkat probabilitas yang tinggi untuk mengidentifikasi kerusakan utama, seperti masalah pada sistem kelistrikan dan timing belt. Probabilitas Kerusakan Sistem Kelistrikan: 90%, Probabilitas Kerusakan Timing Belt: 64%, Probabilitas Kerusakan Level Oli: 49%, Waktu Rata-Rata Diagnosis dengan DSS: 2 menit, Akurasi Rekomendasi DSS: 95%, Penghematan Waktu Diagnosis: 20% lebih cepat, Penghematan Biaya Perbaikan: 15% lebih rendah, Akurasi Diagnosa DSS dan Sistem Pakar: 92%, Kepuasan Pengguna: 85%. Hasil Penelitian ini dapat digunakan dalam diagnostik otomatis yang dapat meningkatkan efisiensi perawatan kendaraan, mengurangi kesalahan manusia, dan mempercepat proses deteksi kerusakan pada mobil. Implementasi sistem ini juga berpotensi untuk digunakan dalam sektor otomotif sebagai alat bantu bagi teknisi dan pemilik kendaraan untuk melakukan diagnosa dan perbaikan secara lebih tepat dan cepat.
Co-Authors Dasril Azmi Edi Yusuf Farida Hanum Iskandar Zulkarnaini Muslem R, Imam Noratul Iqramah