Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

4.376

P-Index

This Author published in this journals

All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Indonesian Journal of Electrical Engineering and Computer Science Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Jurnal Ipteks Terapan : research of applied science and education Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE Jurnal Komtekinfo Jurnal Pengabdian Masyarakat Dharma Andalas

Dodi Guswandi

Universitas Putra Indonesia YPTK Padang

Author-ID : 1191546

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 25 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3

Sistem Pendukung Keputusan Pemilihan Mobil Bekas Menggunakan Metode Analythical Hierarchy Process Gushelmi Gushelmi; Dodi Guswandi
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 3 No 2 (2021): Juli 2021
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v3i2.259

Showroom Ragasa Motor Padang is a showroom that sells various types of used cars. The old system of selecting used cars in The Ragasa Motor Padang Showroom is that customers come directly to the address of this Showroom and the selection process is still done by manual means. With the development of internet technology today is increasing rapidly and in order to be accessible to everyone, the AHP can do a comparison of the criteria in pairs on the selection of used cars and can determine the consistency of the comparison data paired with a threshold value of < 0.1. The purpose of this research is to make it easier for customers to choose used cars quickly and accurately, as well as the application of programs used to make it easier for customers to use them. The result of this study is the SPK System that was built to be able to take the decision of the selection of used cars in the Showroom Ragasa Motor Padang with the selection of the 2nd alternative with a value of 2.55 as the best choice.

Analisis Hybrid Decision Support System dalam Penentuan Status Kelulusan Mahasiswa Dodi Guswandi; Musli Yanto; M. Hafizh; Liga Mayola
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 6 (2021): Desember 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Determination of graduation status is often faced by lecturers in every university. The facts show that many of the decisions still have a fairly high error rate in determining graduation status. This study aims to develop an analytical model in the process of determining student graduation using the Hybrid Decision Support System (DSS). The methods used in the analysis process are Analytical Hierarchy Process (AHP) and Technique for Others Preference by Similarity to Ideal Solution (TOPSIS). The performance of AHP can determine the value of the weight criteria and TOPSIS performs rankings to produce solutions in determining. The criteria indicators used to consist of Depth (C1), Material Breadth (C2), Answer Accuracy (C3), Fluency of Answers (C4), Scientific Attitude (C5), Logical Consistency of Content (C6), Authenticity (C7), Scientific Quality ( C8), Language (C9), and Writing (C10). The results of this study indicate that the Analytical Hierarchy Process (AHP) method provides a weighting value for each criterion with a fairly good accuracy rate of 85,86%. These results conclude that each criterion has a consistent level of relationship in determining student graduation. Based on the output of the TOPSIS analysis, the results presented can determine the student's graduation status correctly and accurately.

PENERAPAN METODE CERTAINTY FACTOR PADA PROSES DIAGNOSA PENYAKIT AKTINOMIKOSIS Musli Yanto; Dhio Saputra; Dodi Guswandi
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 5 No 1 (2021)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v5i1.1308

Aktinomikosis merupakan salah satu penyakit yang disebabkan oleh infeksi bakteri kronis yang banyak menyerang pada bagian wajah dan leher manusia. Pada awalnya penyakit ini dapat dirasakan seperti adanya rasa gatal biasa saja namun dalam yang waktu cukup lama, rasa gatal tersebut akan menyebar luas hingga akhirnya meradang dan menimbulkan nanah. Permasalahan dalam penelitian ini akan membahas tentang penerapan metode Certainty Factor (CF) untuk proses diagnosis penyakit Aktinomiosis pada sistem pakar yang akan dibangun. Sistem pakar dapat di implementasikan dengan tujuan untuk memberikan pengetahuan dasar seputar penyakit Aktinomikosis kepada masyarakat agar dapat terhindar dari bahaya sejak dini. Penerapan metode CF juga akan memberikan nilai kepastian dari hasil proses diagnosa yang dihasilkan oleh sistem pakar. Kinerja metode CF akan melakukan perhitungan secara matematis berdasarkan aturan yang terbentuk dan nilai masukan yang didapat dari tabel CF untuk menghasilkan keluaran dengan bentuk nilai persentase kepastian. Tujuan yang dicapai dalam pembahasan yang dilakukan adalah untuk memberikan informasi secara awal berdasarkan hasil diagnosisi seputar penyakit melalui sistem pakar kepada masyarakat. Sehingga manfaat yang didapat adalah adanya sebuah solusi alternative dalam proses penentuan penyakit Aktinomikosis.

SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN KREDIT MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS PADA BANK PERKREDITAN RAKYAT (BPR) BATANG TARUSAN Dodi Guswandi
Majalah Ilmiah UPI YPTK Vol. 25 (2018) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v25i1.10

The rapidly technology process on globalisasion era in business world, makes the decision making is the important thing to make decision faced with the competition in business world. The decision making can be influence by a few aspect and group, which can influence the decision maker to accelerate the fast, perfectly and correctly the decision making.This software created by using Analytical Hierarchy Process method. Where this algorithm do the process of calculating to get the best decision, using the score group of calculation and compare it with each possibility count of the choosen decision. This software specially will be use to decision support in present credit to PT. BPR Batang Tarusan.From design and the testing the application of decision support system result a correct and flexible decision with all criteria which influence that decision and give a report in order to director can understand why this software choose that decision.

DEVELOPMENT OF GEOGRAPHICAL INFORMATION SYSTEM FOR WEST SUMATERA SOUVENIR TOURISM Hadi syahputra; Novi Trisna; Dodi Guswandi
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 4 (2020): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

West Sumatra is one of the tourist destinations in Indonesia. It is not only related to its history, but also holds anumber of tourism potentials from its alluring natural scenery, shopping tours, to culinary tours. West Sumatraoriginal souvenirs and souvenirs are an inseparable part of the experience while traveling. However, tourists stillfind it difficult to find a good outlet or shop, close to tourist sites, and find information related to souvenirs andsouvenirs in West Sumatra. For this reason, a GIS-based gift and souvenir travel application was built.Geographical Information System for souvenirs and souvenir tours was built in several stages, namely thesystem analysis stage, the system design stage, the implementation stage and the testing phase. The map designin the system uses the Google Maps API and the software used in building this application is the programminglanguage HP (Pear Hypertext Prepocessor), JavaScript, jQuery, XAMPP database and Adobe Dreamweaver.Presentation of information on the web includes information on tourism objects, culinary gifts and souvenirs orsouvenirs.

Implementation multiple linear regresion in neural network predict gold price Musli Yanto; Sigit Sanjaya; Yulasmi Yulasmi; Dodi Guswandi; Syafri Arlis
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1635-1642

The movement of gold prices in the previous period was crucial for investors. However, fluctuations in gold price movements always occur. The problem in this study is how to apply multiple linear regression (MRL) in predicting artificial neural networks (ANN) of gold prices. MRL is mathematical calculation technique used to measure the correlation between variables. The results of the MRL analysis ensure that the network pattern that is formed can provide precise and accurate prediction results. In addition, this study aims to develop a predictive pattern model that already exists. The results of the correlation test obtained by MRL provide a correlation of 62% so that the test results are said to have a significant effect on gold price movements. Then the prediction results generated using an ANN has a mean squared error (MSE) value of 0.004264%. The benefits obtained in this study provide an overview of the gold price prediction pattern model by conducting learning and approaches in testing the accuracy of the use of predictor variables.

Sistem Pendukung Keputusan Pemilihan Calon Wali Nagari Menggunakan Metode TOPSIS Dodi Guswandi; Musli Yanto
Jurnal KomtekInfo Vol. 8 No. 1 (2021): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Pemilihan calon Wali Nagari merupakan sebuah kegiatan yang dilakukan oleh masyarakat dengan melakukan aktifitas pemungutan suara untuk menentukan pemimpin dalam sebuah kenagarian yang ada di daerah. Calon Wali Nagari itu sendiri atau yang setingkat dengan kelurahan merupakan seorang yang dipercaya dalam memimpin masyarakat di suatu kawasan atau daerah. Dalam menentukan pemilihan calon wali nagari, adapun penelitian ini menggunakan sebuah konsep Sistem Pendukung keputusan (SPK) dengan metode TOPSIS. Sistem pendukung keputusan yang dibangun ini dapat memberikan rekomendasi pilihan kepada masyarakat terhadap calon Wali Nagari yang akan memimpin dimasa yang akan datang. Metode TOPSIS yang digunakan dapat melakukan sebuah perhitungan yang dimulai dengan menentukan kriteria dari variabel yang digunakan, kemudian menciptakan matrik dan dilanjutkan pada proses matriks solusi lalu pada akhirnya proses akan masuk pada tahap perangkingan hingga keluaran yang dapat merekomendasikan calon Wali Nagari yang terbaik untuk dapat memimpin masyarakatnya pada periode selanjutnya. Hasil yang didapat dalam penelitian juga memberikan sebuah model ataupun bentuk sistem yang semi tersruktur dalam penentuan calon Wali Nagari menggunakan sistem pendukung keputusan metode TOPSIS. Sehingga manfaat yang akan dapat adalah memberikan rekomendasi kemudahan bagi masyarakat untuk memilih calon Wali Nagari secara tepat dan akurat.

Analytical Hierarchy Process in The Assessment of The Best Teacher In the Category of Learning Activity Management System Dodi Guswandi; Hadi Syahputra; Agung Ramadhanu; Yogi Wiyandra; Suci Wahyuni
Jurnal KomtekInfo Vol. 8 No. 4 (2021): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

The implementation of online lectures using blended learning needs to be assessed to find out the performance activities of lecturers with students in using the learning activity management system (LAMS) feature and reward lecturers with the best performance. Based on the assessment system of the best lecturers previously have not used the right methods so that the resulting decision is still not right and not accurate. This research aims to implement the Analytical Hierarchy Process (AHP) method in the assessment process of lecturers who are the best in using LAMS. The performance of the AHP method can determine the weight value of criteria consistently and can perform a role to produce solutions in decision making. The criteria indicators used to consist of Interactive Video Teaching Materials (C1), Audio Teaching Materials (C2), URLs (C3), Forum/FBL (C4), Slide Teaching Materials (C5), Assignments (C6), Quiz (C7), Attendance (C8), and Labels (C9). The results of this study showed that the performance of the Decision Support System (DSS) using the AHP method can determine a better weight value with a consistency level of 0.080049762 from 0.1. These results presented with AHP performance can provide weighting value on each criterion and continue the multiplication process with the best lecturer assessment data to get the results of the battle. Overall these results concluded that each criterion had a degree of consistent relationship in the best lecturer assessment on LAMS.

Clustering Tingkat Penjualan Menu (Food and Beverage) Menggunakan Algoritma K-Means Hadi Syahputra; Liga Mayola; Dodi Guswandi
Jurnal KomtekInfo Vol. 9 No. 1 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Menu planning in a restaurant is part of the sales strategy. Each menu has a different level of sales. To determine the effectiveness of sales and raw materials, restaurants need knowledge of what menus need to be maintained and vice versa. An analysis that can determine the sales level menu is the analysis of the k-means algorithm data mining clustering method. The source of research data is from the history of menu sales transactions for 1 year, then analyzed by the k-means algorithm. The information found is in the form of popular F&B menus and sales level menus. The purpose of this study is to group the data menu on the level of sales (Food and Beverage). The method used is the Clustering method with the performance of the K-Means algorithm. The results showed that the clustering method with the K-Means algorithm gave a significant output in grouping sales data. The research contribution provides knowledge in the form of information in conducting sales data management

Analisis Metode Weighted Product dalam menentukan Order Barang Terbaik pada Marketplace Shopee Dodi Guswandi; Hadi Syahputra; M. Hafizh; Rita; Devia Kartika
Jurnal KomtekInfo Vol. 9 No. 2 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Ordering goods online on the Marketplace is a very popular public habit today because it is very easy to use which can save time, cost, and effort. One of the most visited Marketplaces by customers is the Shopee Marketplace, in this Marketplace, many customers have difficulty determining the best item because the same item is available in several stores with different characteristics, so many ordered items do not match what they expect. This study aims to apply an analytical model in determining the best order for goods on the Shopee Marketplace using a Decision Support System (SPK) with the Weighted Product (WP) method. The performance of the WP method is able to perform weighted multiplication on each criterion after being ranked and the decision results in the form of ranking produce solutions in determining the best order for goods on the Shopee Marketplace. The criteria used to consist of Price (C1), Product Quality (C2), Online Customer Reviews (C3), Number of Goods Sold (C4), Delivery Time (C5), Payment System (C6), and Shipping Discounts (C7). The results of this study which are presented in the performance of the WP method are able to determine the highest value of goods in several stores in the same type of goods, after the ranking results, namely Item A, Store 5, get a value of 0.130237 as the best order of goods.

Co-Authors Adrul Hutama Agung Ramadhanu Chairi, Maiyozzi Desi Permata Sari Devia Kartika Dhio Saputra Dian Marissa Fajrul Islami Febri Hadi Ghina Ramadhanti Andonela Gushelmi Habib Yuhandri, Muhammad Hadi Syahputra Hadi Syahputra Hadi Syahputra Hadi Syahputra Hafizh, M Hafizh, M. Liga Mayola M. Hafizh M.Hafizh Mardison Muhammad Hafizh Musli Yanto Nadia Yolanda Nasution, Annio Indah Lestari Novi Trisna Novita, Triana Rita Safitri, Wifra SIGIT SANJAYA, SIGIT Sofika Enggari Suci Wahyuni Suci Wahyuni Sugeng, Santoso Syafri Arlis Triana Novita Triana Novita Wiyandra, Yogi Yogi Wiyandra Yulasmi

Title

Found 25 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 25 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 25 Documents
Search