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All Journal Jurnal Sarjana Teknik Informatika JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Sebatik Ensiklopedia of Journal Jurnal Teknologi Dan Sistem Informasi Bisnis Journal of Computer Scine and Information Technology Journal of Information Systems and Technology Research Jurnal Komtekinfo
Liga Mayola
Univerisitas Putra Indonesia YPTK Padang
Arts Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences

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Implementasi Data Mining Menggunakan Algoritma Fp-Growth Untuk Menganalisa Transaksi Penjualan Ekspor Online Muhammad Hafizh; Triana Novita; Dodi Guswandi; Hadi Syahputra; Liga Mayola
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v5i3.847

Abstract

In today's online technology, we have to learn various things so that we can adjust to social behavior, for example, buying and selling activities that cover all walks of life, now everyone doesn't hesitate to shop online. The online market is growing fast, especially in Indonesia. Anyone can sell and buy goods easily through online stores, so that people's purchasing power and sales increase due to the proliferation of online stores, XYZ stores are still beginners in terms of sales strategies so they try all efforts without careful preparation, one of the ways to do this is to expand its market coverage even to export goods abroad. the process of exporting goods in the current era is not a difficult thing to do, but it requires knowledge and preparation of a good strategy. from existing sales data can be analyzed to determine the right strategy in marketing goods. Data Mining is a science that helps analyze large amounts of data with the aim of gaining new knowledge that can be utilized. In Data Mining Analysis there is the FP-Growth algorithm which is a data mining technique for finding association rules from lots of data. This is known as the Association rule, where the rule will be determined from the minimum support and confidence results. the rules that are formed produce 10 rules out of 51 existing data, these rules help determine the export sales strategy at the XYZ store.
Feed Selection Decision Support System The Best Cat uses the Analytical Hierarchy Process Method Dinda Putri Insani; Gushelmi; Liga Mayola
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.64

Abstract

With the development of technology and increasingly rapid competition in the business world, just opening a Cat Shop is not enough. To win the competition, technology and research are used to overcome the problem of consumers who are confused about choosing the type of food for their cats, because there are many types of cats and cat food available. circulating in the market today.. Cat Shop is a business that provides various kinds of pet needs, such as pet food, animal equipment and animal accessories. The Cat Shop sells various products to the public. Cat Shop currently has a share of the pet market in big cities in Indonesia. This decision support system research uses the Analytical Hierarchy Process (AHP) method. The AHP method is a method that is widely used in the case of weighting criteria and prioritizing each criterion. After this research was applied, the results were able to answer the information needs regarding the selection of the best cat food, it has been able to answer and assist in solving the problem of choosing the best cat food purchase
Decision Support System in the Selection of Used Motorcycles with the Multi Attribute Utility Theory (MAUT) Method Adma Qhory Dwi Nanda; Liga Mayola
Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i3.80

Abstract

Transportation is a tool that is useful for moving goods or people in a certain quantity, to a certain place, within a certain period of time. The need for means of transportation has now become a primary need. Compared to public transportation, some people prefer to use private vehicles, especially motorbikes. Besides being an agile and practical means of transportation when used to get through traffic jams both in the city and outside the city, motorcycle fuel consumption is lower when compared to four-wheeled vehicles. As the times progress, more and more motorbike choices are offered by motor manufacturers. With the many latest motorbike outputs coupled with the increasingly intensive advertising of new motorbikes, some consumers are interested and encouraged to exchange (sell) their motorbikes and replace them with the latest motorbikes, so this creates used motorbikes that are still fit for use to be re-traded to consumers. other. Rifdah Motor Khatib is a company engaged in the sale of used motorbikes. The problem experienced by Rifdah Motor Khatib is the difficulty in processing used motorbike sales transactions because the recording process still uses the manual method , namely recording directly in the ledger and in the form of notes on the purchase of used motorbikes. The process takes a long time to record sales of used motorcycles. To overcome this problem, a decision support system was designed using the Multi Attribute Utility Theory (MAUT) method. From the results of the study it was found that the system can assist the company in making decisions on the selection of the best used motorbikes that are effective and efficient
Medical Record Information System with Rapid Application Development (RAD) Method Pratiwi, Mutiana; Mayola, Liga; Kris Hiburan Laoli, Vince; Ilhami Arsyah, Ulya; Pratiwi, Nila
Journal of Information Systems and Technology Research Vol. 1 No. 2 (2022): May 2022
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v1i2.170

Abstract

Computer technology that is increasingly developing has created a situation that demands everything to be computerized. Science from technology has also changed the way of life of most Indonesians. The presence of information and communication technology affects the technology applied in information systems, especially the input and output mechanisms. One of them is at the Clinic which requires computer technology in its operations. The design of this website also uses 3 stages of Rapid Application Development (RAD) system design, the result of which is a website for a medical record information system. In order for clinical activities to run smoothly at the Clinic, an information system using the Rapid Application Development (RAD) method is needed because the software development process model is classified as an incremental technique and emphasizes short, short, and fast development cycles. Medical record system testing will be tested using Blackbox Testing and User Acceptance Test (UAT) testing.
Perbandingan Tingkat Akurasi SAW-TOPSIS dalam Penilaian Kelayakan Proposal Liga Mayola; Guswandi, Dodi; Safitri, Wifra; Hafizh, M; Habib Yuhandri, Muhammad
Jurnal KomtekInfo Vol. 10 No. 3 (2023): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v10i3.415

Abstract

Seminar proposal adalah salah satu matakuliah pada kurikulum yang wajib dilalui oleh mahasiswa Teknologi Informasi agar dapat melanjutkan ke tahapan berikutnya yaitu kualifikasi. Penentuan kelayakan kelulusan seminar proposal mahasiswa oleh penguji masih dilakukan dengan manual dan belum menggunakan Sistem Pendukung Keputusan (SPK) dalam mengambil keputusan. Tujuan penelitian ini adalah untuk menganalisis pengambilan keputusan kelayakan sebuah proposal yang diajukan mahasiswa dan menguji metode yang tepat diantara dua metode SPK yang dipilih. Metode yang digunakan dalam penelitian ini adalah metode SAW dan metode TOPSIS. Data sampel yang digunakan berjumlah dua belas data penilaian dosen terhadap mahasiswa. Kriteria yang digunakan dalam penilaian kelayakan proposal yakni kemuktahiran topik dan ketajaman rumusan masalah (C1), relevansi dan kemuktahiran kajian pustaka (C2), ketepatan metode penelitian (C3), manfaat dan kontribusi penelitian (C4), referensi acuan (C5) dan estetika penulisan (C6). Hasil penelitian ini berupa pemodelan Decision Support System (DSS) dalam bentuk perankingan agar dapat mengetahui kelayakan seminar proposal mahasiswa. Berdasarkan perbandingan metode SAW dan TOPSIS pada kasus ini, maka dapat disimpulkan bahwa metode SAW memiliki tingkat akurasi yang lebih tinggi yaitu 41,667 %.
Identifikasi Pola Seleksi Penentuan Calon Wali Nagari dengan Menggunakan Artificial Neural Network Algoritma Perceptron Yuhandri, Muhammad Habib; Mayola, Liga
Jurnal KomtekInfo Vol. 10 No. 4 (2023): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v10i4.485

Abstract

Proses seleksi pemilihan calon Wali Nagari atau setingkat dengan Kepala Desa merupakan salah satu bagian dari sistem demokrasi yang ada saat sekarang ini. Pada dasarnya seleksi penentuan calon wali nagari tersebut berasal dari ketentuan yang dibuat oleh Komisi Pemilihan Umum (KPU) dan dieselengagarakan oleh Kelompok Penyelenggara Pemungutan Suara (KPPS). Adapun permasalahan yang sering terjadi pada saat seleksi penentuan calon yakni banyaknya para calon dan pendukung yang menyalahkan kinerja dari pihak KPPS, sehingga dapat menimbulkan krisis kepercayaan. Berdasarkan hal tersebut maka penelitian ini bertujuan untuk indentifikasi pola seleksi penentuan calon wali nagari dengan menggunakan Artificial Neural Network (ANN) algoritma Perceptron. Algoritma Perceptron pada dasarnya mampu melakukan identifikasi terhadap pola, aturan dan ketentuan dengan menggunakan variabel-variabel yang telah ditentukan. Proses penentuan nilai yang digunakan pada variabel tersebut nantinya akan memainkan peran logika fuzzy untuk memberikan nilai yang tepat beradasarkan data yang didapatkan sebelumnya. Hasil pengujian ANN dengan menggunakan algoritma perceptron pada proses pelatihan dan pengujian telah mampu menghasilkan keluaran yang tepat dan akurat. Hasil tersebut dapat dijadikan pola dalam melakukan seleksi penentuan calon wali nagari dan juga dijadikan sebagai basis knowlade based system. Berdasarkan hasil tersebut maka penelitian ini akan memberikan kontribusi untuk membantu kinerja KPPS untuk melakukan seleksi dalam menetapkan calon dalam pemilihan.
Perancangan Aplikasi Similarity Deteksi Kemiripan Judul Disertasi Berbasis Web Mayola, Liga; Hafizh, Muhammad; Putra, Deri Marse
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 2 (2024): April 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i2.1164

Abstract

Education has a good goal and system, namely creating a generation that is trustworthy in its actions and scientific writing. An educated person must have ethics in writing work, one of which is avoiding plagiarism. Determining the title of the dissertation that will be submitted must pay attention to several aspects to avoid similarities or even the same title because taking someone's writing or ideas without citing the source is an action that is prohibited in the ethics of scientific work. To prevent this, you can check the similarity of titles, which can be done using several methods, one of which is the Jaccard similarity algorithm, which is an algorithm that functions to find similarities or similarity of a problem, with calculations that contain a formula for solving the problem. In simple terms, this algorithm calculation will be added with a certain weighting value to increase the similarity value of the previous case with the new case. [1] Comparing title by title is very time consuming if done manually, therefore application design needs to be done so that later it can help parties. related to determining the similarity of dissertation titles. This design will later become a direction in building a dissertation title similarity detection application with the results of the title similarity percentage with the minimum acceptable level of similarity being 10%, and the consideration being 11% to 15%.
Klasterisasi Rumah Sakit berdasarkan Kunjungan Pasien menggunakan Algoritma K-Means: Data 2019-2023 Mayola, Liga; Hafizh, M.; Syahputra, Hadi
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 7 No 1 (2025): Januari 2025
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v7i1.1703

Abstract

Hospitals play a vital role in providing healthcare services to the community. Every day, patients visit hospitals to receive medical care. Over time, patient visit data continues to grow, resulting in a massive accumulation of data. This large volume of patient visit data can be clustered using data mining algorithms, providing strategic insights for resource management, facility planning, and improving the quality of healthcare services. The purpose of this study is to classify hospitals based on the number of patient visits over the past five years. The clustering process was conducted using the K-Means Clustering Algorithm. The research data was obtained from the Satu Data Sumbar website. Hospital patient visit data was grouped into three clusters. The results indicate that Cluster 1 (K1) represents hospitals with very high visit intensity, Cluster 2 (K2) represents hospitals with medium visit levels, and Cluster 3 (K3) represents hospitals with low visit levels. Keywords:
Comparative Analysis of Weighted-KNN, Random Forest, and Support Vector Machine Models for Beef and Pork Image Classification Using Machine Learning Satria, Budy; Afrianto, Nurdi; Ningsih, Lidya; Sakinah, Putri; Sidauruk, Acihmah; Mayola, Liga
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3736

Abstract

The actual problem that occurs in the sale of meat by some conventional market traders is mixing beef with pork because of the high selling price. The difference between pork and beef lies in the color and texture of the meat. However, many people do not understand this difference. This study aims to provide a solution to distinguish the two types of beef through a classification process by obtaining the best accuracy using the W-KNN, RF, and SVM models based on machine learning. This study compares the model's performance based on the number of datasets, comprising 400 original images (200 beef and 200 pork images), using a 80:20 ratio for training and test data. The extraction process uses two algorithms: HSV (Hue, Saturation, Value) and RGB (Red, Green, Blue). The model evaluation uses a confusion matrix that includes accuracy, Precision, Recall, and F1-score. Based on the results of the model testing, it was found that the random forest algorithm gave the best overall results, with the highest accuracy of 98.75%, Precision of 97%, F1-score of 98%, and recall of 99% on the number of decision trees of 400. This shows the stability and generalization of the superior model. The random forest algorithm is the most effective for classifying beef and pork data with minimal errors. Implications for further research include using a deep learning approach, especially for image processing, to detect differences in each meat characteristic and increase accuracy.
Penerapan Metode TOPSIS dalam Sistem Pendukung Keputusan Pemilihan Bahan Baku Terbaik untuk Pembuatan Spring Bed (Studi Kasus : Bigland ByPass Padang) Ramadhoni, Fauzan; Gushelmi, Gushelmi; Mayola, Liga
Jurnal Sarjana Teknik Informatika Vol. 11 No. 1 (2023): Februari
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v11i1.25792

Abstract

PT. Cahaya Murni Andalas Permai merupakan salah satu perusahaan yang bergerak di bidang industri mebel yang memproduksi beberapa kebutuhan rumah tangga serta peralatan kantor, salah satunya yaitu tempat tidur atau yang biasa dikenal dengan sebutan spring bed. Sistem pendukung keputusan dirancang bertujuan untuk mendukung seluruh tahap pengambilan keputusan mulai dari mengidentifikasi sebuah masalah, memilih data-data yang relevan dan menentukan pendekatan yang digunakan pada sebuah proses pengambilan keputusan. Penelitian ini mengembangkan sistem pendukung keputusan dengan menggunakan metode TOPSIS untuk memudahkan karyawan dalam penentuan kualitas springbed perhitungan kualitas springbed yang tersimpan rapi didalam sebuah database. Sistem dibangun menggunakan Bahasa pemrograman PHP dan Database MySQL. Tujuan yang ingin dicapai dari penelitian ini untuk menentukan kualitas spring bed terbaik dengan kriteria yang digunakan yaitu: pegas, daya topang, bahan pelapis, dan jenis kayu yang dijadikan bahan perhitungan. Penentuan kualitas pada sistem dibuat dengan data-data yang sudah tersimpan, serta ketetapan pada setiap setiap nilai kriteria yang digunakan untuk penilaian kualitas.
Co-Authors Acihmah Sidauruk Adma Qhory Dwi Nanda Afrianto, Nurdi Aminuyati Arsyah, Ulya Ilhami Budy Satria Dinda Putri Insani Dodi Guswandi Fauzan Ramadhoni Gushelmi Gushelmi, Gushelmi Habib Yuhandri, Muhammad Hadi Syahputra Hadi Syahputra Hafizh, M Hafizh, M. Kris Hiburan Laoli, Vince M. Hafizh M. Hafizh Muhammad Afdhal Muhammad Afdhal Muhammad Hafizh Muhammad Hafizh Musli Yanto Musli Yanto Ningsih, Lidya Nurul Azwanti Pratiwi, Mutiana Putra, Deri Marse Ramadhoni, Fauzan Rita Safitri, Wifra Safitri, Wifra SAKINAH, PUTRI Saputra, Dhio SIGIT SANJAYA, SIGIT Sitti Rizki Mulyani Sri Tria Siska Syamsiar, Syamsiar Triana Novita Wifra Safitri Yuhandri, Muhammad Habib