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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Elektronika Listrik dan Teknologi Informasi Terapan bit-Tech Jurnal Computer Science and Information Technology (CoSciTech) Journal of Computer Scine and Information Technology Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Komtekinfo RJOCS (Riau Journal of Computer Science) CSRID
Yuhandri
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mathematics

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PENERAPAN METODE SAW PADA SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BANTUAN SISWA KURANG MAMPU MENGGUNAKAN BAHASA PEMROGRAMAN PHP DAN DATABASE MYSQL (STUDI KASUS : SMAN 4 PAYAKUMBUH) Mey Yuki Lestari; Yuhandri; Harkamsyah Andrianof
Jurnal Elektronika Listrik dan Teknologi Informasi Terapan Vol. 5 No. 1 (2023): ELTI Juni
Publisher : LPPM Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/elti.v5i1.207

Abstract

In the world of education, computer technology is in great demand because it can facilitate various kinds of activities in schools such as the management of receiving aid for underprivileged students or what is known as scholarships. SMAN 4 Payakumbuh has a scholarship program, every year there is an increase in the number of applicants and there are certain quota limits which make it difficult for the selection team to receive assistance for underprivileged students, therefore there is the establishment of a new system to overcome the problems faced by the old system so that it can help the school select students who are eligible to receive assistance, reduce data redundancies, and can help the performance of SMAN 4 Payakumbuh to be efficient by using the SAW, PHP and MySQL methods, to be able to get assistance for underprivileged students it must be in accordance with predetermined criteria such as income parents, number of siblings, number of dependents, beneficiary and distance from home to school. The application of the system that has been designed can provide a good solution to the selection team at SMAN 4 Payakumbuh in determining students who are eligible to receive assistance quickly and precisely.
Measurement of Health Information Systems Using the McCall Method Fikri, Dzaki Al; Yuhandri; Mardison
Journal of Computer Scine and Information Technology Volume 10 Issue 1 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i1.97

Abstract

In an era of technology that continues to develop rapidly, structured and detailed data management is becoming increasingly important. This allows decision makers at the Clinic to easily monitor, evaluate and plan business strategies. The information system measurement application on Klink Mitra Sadona is used to analyze the quality of the electronic registration information service system for patients. This registration system can help patients make it easier to register at the clinic. Based on this, the quality of the health information system will be measured because in this system the level of system quality is not yet known, so as to identify the accuracy, completeness and quality of the software at the clinic. The measurement method in this research uses the McCall Method. The McCall method is a method used to assess the quality of a system. The results of research based on the McCall Method show that the quality of information system measurements is very good with a percentage value of 94%, with the best indicator value, namely efficiency with a result of 72% and the integrity indicator value is the worst indicator with a result of 52%.
Application of the FP-Growth Algorithm in Consumer Purchasing Pattern Analysis Putri, Indah Dwi; Yuhandri; Hardianto, Romi
Journal of Computer Scine and Information Technology Volume 10 Issue 2 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i2.99

Abstract

Technology is currently used in various ways, one of which is businesses engaged in selling daily products. The right marketing strategy makes knowledge of consumer shopping patterns important to study because consumers are the main actors in carrying out transactions. The more diverse the types of goods sold in a company, the more diverse the resulting consumer spending patterns will be. Data mining is an analysis process that is carried out automatically on complex and large amounts of data to obtain patterns or trends that are generally not realized. The FP-Growth algorithm is an alternative algorithm that can be used to determine the data set that appears most frequently (frequent itemset) in a data set. The method used in this research is the FP-Growth method which is implemented in the PHP programming language and MySQL as the database. Designing a data mining program using the FP-Growth method can analyze and manage consumer purchasing patterns based on goods purchased simultaneously. The data processed in this research is transaction data that has been processed into information so as to gain knowledge in calculating stock of goods sourced from the owner of Toko Asra. From testing this method, results were obtained from the 10 transactions in December 2021, by limiting the minimum support value to 0.2 and minimum confidence to 0.75, 33 patterns of consumer shopping habits were obtained, meaning that 33 products were most frequently purchased by consumers. Designing a data mining program using the FP-Growth method can help analyze consumer purchasing patterns based on items purchased simultaneously. The results of frequent itemset calculations can help find a sequence of combinations that can be used as product recommendations in business decision
JARINGAN SYARAF TIRUAN DENGAN LEARNING VECTOR QUANTIZATION (LVQ) UNTUK KLASIFIKASI DAUN: ARTIFICIAL NEURAL NETWORKS USING LEARNING VECTOR QUANTIZATION (LVQ) FOR LEAF CLASSIFICATION Soeheri; Sari, Rita; Wahyu Saptha Negoro; Yuhandri
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 1 (2024): February 2024
Publisher : LPPM Universitas Potensi Utama

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

Abstract

Leaves are one part of a plant species that is commonly used to classify plant and plant species. The process of assisting various types of leaves usually involves experts using a herbarium, which is a collection of preserved plant specimens. Leaf classification is the detection of different types of leaves, where there are 2 types of leaves including Magnolia Soulangeana and Invillea leaves. The training data contains 30 images consisting of 15 each of the 2 types of leaves, then the test data contains 20 images which are also taken from the 2 types of leaves. So that the total images used are 50 leaf images. The leaf classification uses feature extraction and the method used in the classifier is Learning Vector Quantization (LVQ) which is a pattern classification method in which each output unit represents a particular class or group. The test results showed that the process of calling Magnolia Soulangeana and Bougainvillea leaves in this experiment was successful with 80% detection Keywords—Leaf classification, Learning Vector Quantization, Artificial Neural Networks, Feature extraction.
Sistem Deteksi Kepuasan Pelanggan dengan Teknik Pengelolaan Citra Menggunakan Convolutional Neural Networks Saputra, Randy; Yuhandri; Arlis , Syafri
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 2 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i2.1219

Abstract

Advancements in computer vision and facial expression recognition provide a new, objective, and non-intrusive method for measuring customer satisfaction in real time. This study develops a customer satisfaction detection system at Rumah Diskusi ALCO Café using Convolutional Neural Networks (CNN) with a mixed-methods approach, combining quantitative and qualitative analysis. The RAF-DB dataset containing 15,339 labeled images (12,271 for training and 3,068 for testing) across seven emotion classes was processed through image acquisition, preprocessing, and ResNet50 fine-tuning. The resulting model achieved an accuracy of 80.34%, with a Precision of 83.55%, Recall of 81.78%, and F1-Score of 82.32% on the test data. Field implementation over four weeks successfully recorded and analyzed thousands of customer facial expressions in key areas such as the cashier and main seating area in real time. Results showed a customer satisfaction distribution of approximately 72% “Satisfied,” 16% “Quite Satisfied,” and 12% “Not Satisfied,” with a declining trend during peak hours in the afternoon. Cross-validation with customer surveys demonstrated a strong correlation between the system’s predictions and reported satisfaction, proving the effectiveness of this method as a real-time monitoring tool. The study contributes a practical technical and methodological framework that can be replicated in other service industries for objective and real-time customer satisfaction monitoring.
Penerapan Metode Vikor Untuk Menentukan Kelayakan Penyewa Tempat Usaha Pada UIN Bukittinggi Resnawita; Yuhandri; Sumijan
Jurnal KomtekInfo Vol. 11 No. 3 (2024): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v11i3.536

Abstract

Seiring kemajuan teknologi yang berkembangan pesat, mendorong lahirnya inovasi-inovasi baru untuk memenuhi kebutuhan dunia kerja dan sebagai alat bantu manusia. Penggunaan teknologi dalam mengelola sebuah unit usaha kampus akan membantu instansi dalam melakukan pekerjaannya. Unit usaha kampus merupakan bagian penunjang pembelajaran dan pelayanan kepada mahasiswa dan Masyarakat. Unit ini biasanya bertugas untuk mengelola pendapatan dan pengeluaran, mengembangkan strategi keuangan, mengelola layanan katering, toko buku, kantin,tempat parkir, serta menjalankan berbagai jenis usaha lainnya yang terkait dengan kebutuhan mahasiswa dan staf kampus. Pengelolan unit usaha kampus akan membutuhkan banyak pertimbangan untuk megelola unit usaha kampus seperti pengambilan keputusan untuk penyewa tempat usaha atau kantin yang sesuai dengan syarat yang terdapat dalam perguruan tinggi dalam pengambilan keputusan terdapat beberapa faktor ataupun kriteria yang diperlukan agar keputusan yang nantinya diperoleh sesuai dengan syarat yang dibutuhkan oleh unit usaha kampus. Sehingga penggunaan teknologi dibutuhkan untuk mepermudah kampus dalam menentukan keputusan yang akan diperoleh. Penelitian ini bertujuan untuk memberikan rekomendasi kelayakan penyewa tempat usaha di UIN Bukittinggi. Metode penelitian yang digunakan dalam penelitian adalah metode VIKOR (Visekriterijumsko Kompromisno Rangiranje). Data yang digunakan dalam penelitian merupakan data penyewa tempat usaha UIN Bukittinggi. Terdapat 5 kriteria penilaian dan 10 data penyewa yang digunakan dalam penelitian. Dari hasil perangkingan didapatkan hasil bahwa calon penyewa dengan ID P01 mendapatkan nilai terkecil yaitu 0 dan merupakan peringkat pertama dalam perhitungan vikor. Penelitian ini menunjukkan bahwa metode VIKOR efektif dalam memberikan rekomendasi yang berbasis data dan kriteria yang telah ditentukan, sehingga dapat digunakan sebagai alat pendukung keputusan yang handal dalam pemilihan penyewa tempat usaha di lingkungan kampus.
Penerapan Acunetix Vulnerability Scanner dari Serangan Siber pada Keamanan Website Kampus Rusydi, Rezki; Yuhandri; Arlis, Syafri
Jurnal KomtekInfo Vol. 11 No. 3 (2024): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v11i3.569

Abstract

Keamanan website telah menjadi salah satu aspek yang paling penting dalam menjaga integritas, kerahasiaan, dan ketersediaan informasi serta data dari ancaman serangan siber. Sebagai institusi akademis yang mengelola berbagai data penting, Institusi menghadapi tantangan signifikan dalam memastikan bahwa website mereka terlindungi dari berbagai ancaman keamanan yang semakin kompleks dan canggih. Keamanan website tidak hanya penting untuk menjaga data institusi, tetapi juga untuk melindungi privasi dan informasi pribadi pengguna yang berinteraksi dengan platform tersebut. Penelitian ini berfokus pada analisis dan peningkatan sistem keamanan website Fakultas Teknik UM Sumatera Barat dengan menggunakan Acunetix Vulnerability Scanner. Alat ini adalah salah satu solusi otomatis yang dirancang untuk mengidentifikasi kerentanan keamanan pada aplikasi web. Acunetix memungkinkan pendeteksian kerentanan secara cepat dan menyeluruh, sehingga memberikan gambaran yang jelas mengenai potensi risiko yang mungkin dihadapi oleh website tersebut. Metode penelitian yang diterapkan dalam studi ini melibatkan pengujian penetrasi menggunakan Acunetix untuk mendeteksi berbagai celah keamanan yang ada pada website. Pengujian ini mencakup identifikasi terhadap celah yang mungkin dieksploitasi oleh pihak tidak bertanggung jawab, termasuk serangan cross-site scripting (XSS), SQL injection, dan kerentanan terhadap serangan Distributed Denial of Service (DDoS). Hasil analisis menunjukkan bahwa terdapat beberapa kerentanan kritis yang harus segera diatasi untuk mencegah potensi eksploitasi. Berdasarkan temuan ini, peneliti menyusun rekomendasi perbaikan dan mitigasi yang bertujuan untuk mengurangi risiko serangan siber terhadap website. Berdasarkan hasil scanning literasi pertama, website Fakultas Teknik UM Sumatera Barat dikategorikan pada tingkat ancaman 3 yang termasuk tinggi, dengan terdapat 245 peringatan atau kerentanan yang teridentifikasi, di antaranya, 8 dianggap berada pada tingkat high, 2 berada pada tingkat medium, 13 berada ditingkat Low dan selebihnya Informational Berdasarkan evaluasi yang telah dilakukan, tingkat keamanan yang tercapai berada pada level 0. Pada level ini, tidak terdapat kerentanan yang teridentifikasi (nol kerentanan) dan dukungan keamanan juga mencapai tingkat optimal (nol dukungan). Oleh karena itu, dapat disimpulkan bahwa situs web Fakultas Teknik UM Sumatera Barat saat ini, dengan status level 0, tidak memiliki kerentanan keamanan. Hasil penelitian bisa menjadi acuan bagi pengelola website di lingkungan akademis, dalam melindungi website dari ancaman siber.
Co-Authors Aal, Defrizal Ade Dwi Dayani Akbari Wafridh Arlis , Syafri Auriga, Wira Billy Hendrik Dian Maharani, Dian Edwar, Eggy Febyanti Eriyanto, Joko Fernando Ramadhan Fikri, Dzaki Al Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo, Gunadi Hardianto, Romi Harkamsyah Andrianof Hendrik, Billy Idir Fitriyanto Idir Ilham Asy'ari Indah Dwi Putri Karseno, Doni Mardison Meiditra, Irzon Mey Yuki Lestari Mukhlis Santoso Pulungan, Akhiruddin Rahmansyah, Rizky Ramadhan, Prestian Ramadhanu, Agung Resnawita Riati, Itin Ridho, Ridho Afwan Rita Sari Rita Sari Rusydi, Rezki Sahri, Alfi Sajida, Mayang Saputra, Randy Sari, Fitri P. Sarjon Defit Siregar, Diffri Soeheri Soeheri Sonia Indhira Sovia, Rini Sumijan Supriyanto, Boby Syafri Arlis Syaputra, Eka B. Tri Agusti Farma Uthama, Rayhan Veri, Jhon Very, Jhon Wahyu Saptha Negoro Wahyu Saptha Negoro Yanti, Salma Nofri Yuda, Fitra Yuda