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Fachri, Barany
Universitas Pembangunan Panca Budi
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PEMANFAATAN TEKNOLOGI OCR (OPTICAL CHARACTER RECOGNITION) DALAM PEMBUATAN APLIKASI KALKULATOR TULISAN TANGAN SEDERHANA Ricky Ramadhan Harahap; Iskandar Iskandar; Barany Fachri; Rinel Prayudi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 5 No. 2 (2022): June 2022
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v5i2.916

Abstract

Kalkulator merupakan alat bantu hitung yang ditemukan oleh seorang matematikawan Prancis pada tahun 1642 yaitu Blaise Pascal. Hingga saat ini, perkembangan kalkulator telah berevolusi mulai dari segi ukuran, fitur, hingga performa kecepatan hitung yang semakin canggih. Penggunaan kalkulator dapat memudahkan manusia dalam melakukan operasi hitung aritmatika. Saat ini, terdapat kendala masalah pada proses pemasukan angka pada kalkulator sebagai contoh jika kita ingin menghitung nilai dari angka-angka pada media tulis seperti kertas, papan tulis atau media tulis lainnya, pengguna harus terlebih dahulu melihat teks satu persatu dan memasukkannya secara seksama karena jika terdapat kesalah dalam input angka maka hasil perhitungan juga akan mengalami kesalahan. Untuk mengatasi masalah diatas, penulis akan memanfaatkan teknologi Optical Character Recognition (OCR) dalam proses ekstrasi data teks pada suatu citra digital sehingga pengguna tidak perlu memasukkan angka ke dalam kalkulator satu persatu, pengguna hanya cukup mengambil gambar dari tulisan tangan perhitungan yang akan dilakukan dan sistem akan secara otomatis menghitung berdasarkan hasil ekstraksi dari OCR.
PENERAPAN METODE FORWARD CHAINING DALAM MENDIAGNOSA PENYAKIT KULIT KEPALA Barany Fachri; Rika Nurleni; Ricky Ramadhan Harahap; Iskandar Iskandar
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 5 No. 2 (2022): June 2022
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v5i2.922

Abstract

Kulit merupakan organ terpenting pada manusia, jika kulit kepala mulai terasa gatal, perih dan tidak tahu cara menanganinya lama kelamaan penderita  itu akan terkena penyakit kulit kepala tingkat akut. Metode forward chaining adalah suatu rantai yang di cari atau dilintasi dari suatu permasalahan untuk memperoleh solusi. Hasil yang diberikan dari penelitian ini adalah sistem pakar diagnosa penyakit kulit kepala yang dibangun menggunakan sistem aplikasi website menggunakan bahasa pemrograman PHPMySQL dan menggunakan software XAMPP dan Adobe dreamweaver CS5. Dari data pasien dan data gejala yang diterapkan didalam sistem pakar diagnosa penyakit kulit kepala tersebut diketahui tingkat keakuratan sistem terhadap diagnosa penyakit kulit kepala pada pasien 96%.
Perancangan Sistem Informasi Pengajuan Gadai Dan Pendataan Barang Dengan Fitur Estimasi Nilai Gadai Otomatis Berbasis Web Doarjo Marbun; Barany Fachri; Afif Badawi
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pawn activities have become an alternative financial solution for the public in need of quick funds with valuables as collateral. However, operational processes that still rely on manual recording often trigger subjectivity in determining the appraisal value of goods, the risk of inconsistency, and data management errors. This research aims to design a "Web-Based Pawn Submission Information System and Goods Data Collection with an Automatic Pawn Value Estimation Feature" to address these issues. The system development method used is the Waterfall model, which includes the stages of requirements analysis, system design, coding, testing, and maintenance in a structured and sequential manner. The results show that the developed system is able to integrate submission workflows, goods data collection, and appraisal value calculations objectively and systematically. In conclusion, the implementation of this web-based information system successfully improves operational efficiency, minimizes recording errors, and provides convenience for officers in monitoring the status of goods in real-time, making pawn transactions faster, more transparent, and more accurate compared to previous manual systems.
Optimasi Penentuan Penerima Bantuan Sosial Penggali Kubur dan Bilal Mayit Menggunakan Metode TOPSIS Berbasis Web di Kecamatan Sawit Seberang Izwar Hanif; Zulfahmi Syahputra; Barany Fachri
Jurnal Nasional Teknologi Komputer Vol 6 No 4 (2026): Oktober 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to develop a web-based Decision Support System (DSS) for determining social assistance recipients among grave diggers and bilal mayit in Sawit Seberang District. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was applied to rank prospective recipients based on six assessment criteria, namely income, number of dependents, age, housing condition, length of service, and an additional criterion implemented in the system. The study involved eight prospective recipients, represented by alternatives A001 to A008. The TOPSIS process consisted of decision matrix normalization, weighted normalization using criterion weights of 25%, 20%, 20%, 15%, 10%, and 10%, determination of positive and negative ideal solutions, calculation of distances to the ideal solutions, and preference value calculation. The results showed that A001, Syahrial Lubis, achieved the highest preference value of 0.638991 and ranked first with the status Highly Recommended. The subsequent alternatives were A005 with a preference value of 0.597779, A003 with 0.518578, A006 with 0.399135, A008 with 0.389486, A007 with 0.389230, A002 with 0.360373, and A004 with 0.337661. These results indicate that the developed system can perform recipient ranking in a structured manner and provide decision support for determining social assistance recipients more objectively and systematically.
Co-Authors AA Sudharmawan, AA Abdul Khaliq Abdul Khaliq Afif Badawi Afrizal, Sandi Agus Perdana Windarto Ahmad Fakhruddin Nasution Aidia Maysaroh Ananda, Fikri Ardini Sabella Arfan Syamsuddin Dalimunthe Arianti Limbong Arief Budiman Aritonang, Petrus Rafhael Haholongan Arpan Arpan Arpan, Arpan Badawi, Afif Bambang Saputra Saragih Bayu, Muhammad Budi Chairul Rizal Chairul Rizal Chatarina Umbul Wahyuni Daniel Daud Sunly Bazikho Didid Nugraha Doarjo Marbun Dwi Azzahra Siregar Eka Surya Fitriani Eka, Muhammad Eko Hariyanto Elisa Fadli Hamdi Harahap Fahmi Kurniawan Fajar Ryanda Fatihah, Nasywa Rizki Ferdy Syahlan Susilo Ginting, Agung Suka Habibah, Muthiah Hanna Willa Dhany Hardiansyah Putra Hendry Herli Herutomo Hermansyah Ika Devi Perwitasari Ilka Zufria Irhami, Zahara Reva Irwan Irwan Irwan Iskandar Iskandar Izwar Hanif Jerry Ongky Wijaya Juanda Juanda Juliandri Jurais Al Qorni Dalimunthe Kurniawan, Fahmi Labbaika Asri Leni Marlina Leni Marlina Leni Marlina Mahardika Abdi Prawira Tanjung Martin Paul Putra Zebua Maysaroh, Aidia Mhd Adam Hidrawan Muhammad Bayu Muhammad Eka Muhammad Hasanuddin Muhammad Hasanuddin, Muhammad Muhammad Iqbal Muhammad Jonesta Ginting Muhammad Noor Hasan Siregar Muhammad Syahputra Novelan Muhammad Zen Munadi Munadi Nasution, Ahmad Fakhruddin Nasution, Yusuf Ramadhan Nasution, Yusuf Ramadhan Nasywa Rizki Fatihah Parinduri, Ikhsan Putra, Randi Rian Rahayu Mayang Sari Rangga Rafandi Razibah Audy Aulia Nst Rian Farta Wijaya Ricky Ramadhan Harahap Rika Nurleni Rinel Prayudi Rio Septian Hardinata Rio Septian Hardinata Risky Wahyu Surbakti Rizki Azhari Ginting Rizky Daniel Simangunsong Roy Martin Sembiring Ruly Dwi Arista Rusli Halil Nasution Ryanda, Fajar Said Ahmad Rizqi Saragih, Bambang Saputra Sarudin Simangunsong, Rizky Daniel Siti Nurhabibah Hutagalung Sitorus, Zulham Suci Damai Gea Suheri SUheri Suherman Supina Batubara Supiyandi Supiyandi Wardah Ramadhani Winda Hafiza Wulandari, Heni Xenna Agustina Yanti Yusman Yessi Fitri Annisah Lubis Yuyun Dwi Lestari Zulfahmi Syahputra