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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
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Analisis Penentuan Supplier Bahan Baku Mebel Terbaik Menggunakan Metode VIKOR Dodi Guswandi; Suci Wahyuni; M.Hafizh; Triana Novita; Hadi Syahputra
Jurnal KomtekInfo Vol. 9 No. 4 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v9i4.323

Abstract

Kualitas dan kelancaran suatu produksi perusahaan tergantung dengan persediaan bahan baku yang dipasok oleh supplier. Setiap supplier memiliki karekteristik yang berbeda dalam persediaan bahan bakunya. CV Surya Jepara merupakan toko Mebel yang mengolah bahan baku kayu menjadi furniture. Permasalahan yang terjadi selama ini dimana bahan baku yang dipasok oleh supplier terdapat beberapa kekurangan kualitas, keterlambatan pengiriman, dan biaya pemesanan yang dikeluarkan oleh toko semakin tinggi. Dengan permasalahan tersebut maka tujuan penelitian ini untuk menentukan suplier terbaik dalam melakukan supply bahan baku pada CV Surya Jepara. Metode yang digunakan dalam proses penentuan menggunakan metode ViĊĦekriterijumsko Kompromisno Rangiranje (VIKOR). Kinerja metode Vikor mampu mengkompromi alternatif dari solusi ideal negatif dan solusi ideal positif untuk menghasilkan keputusan berupa perankingan. Hasil penelitian ini menunjukan bahwa kinerja metode Vikor mampu memberikan solusi ideal alternatif paling efektif, dimana hasil keputusan dengan berbentuk perankingan dengan nilai yang terendah adalah solusi yang terbaik yaitu alternatif A7 satu-satunya yang mendapatkan nilai 0 sebagai supplier terbaik.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (235.419 KB) | DOI: 10.22216/jit.v14i4.156

Abstract

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.
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.
Pemilihan Makanan Terbaik Bagi Penderita Hipertensi Menggunakan Metode Topsis Hadi Syahputra; Dodi Guswandi; Nadia Yolanda
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 3 No 1 (2023): 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.v3i1.536

Abstract

Pelayanan gizi di puskesmas memiliki peranan yang sangat penting terutama dalam pemilihan menu makanan yang akan direkomendasikan ke pasien oleh Ahli gizi yang disesuaikan dengan penyakit yang diderita oleh pasien. Ahli gizi yang berperan sebagai pemberi keputusan pada pemilihan menu makanan, masih mengalami kesulitan dalam menentukan alternatif terbaik yang akan dipilih berdasarkan kriteria penentu yang telah ditetapkan. Kriteria yang ditetapkan oleh Ahli gizi adalah karbohidrat, protein, lemak, Pengolahan dan garam. Oleh karena itu, Puskesmas membutuhkan sebuah Sistem Penunjang Keputusan yang dapat memudahkan dan membantu Ahli gizi dalam memilih menu makanan terbaik secara akurat dengan kriteria yang telah ditentukan. Penentuan dalam pemilihan menu makanan untuk penderita hipertensi pada Puskesmas ini menggunakan metode TOPSIS untuk menentukan prioritas atau ranking dari setiap alternatif. Hasil yang diharapkan dari penerapan metode ini dalam pembangunan sistem pendukung keputusan pemilihan menu makanan untuk penderita hipertensi di Puskesmas yaitu dapat memudahkan Ahli gizi dalam menentukan menu makanan terbaik yang dapat direkomendasikan dan memenuhi kriteria.
Decision Support System for Selection of the Best Employees based on Performance with the Topsis Method Ghina Ramadhanti Andonela; Mardison; Dodi Guswandi
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.v9i2.68

Abstract

Selection of the best employees at Wali Nagari is an activity carried out by the Wali Nagari by carrying out this activity to determine the best employees at the Nagari. In determining the selection of the best employee candidates in Nagari Singguling, this research uses a decision support system (SPK) concept with the TOPSIS method. The decision support system that was built can provide recommendations to Nagari for the best employee candidates at Nagari Singguling. The TOPSIS method used can carry out a calculation that begins with determining the criteria of the variables used, then creates a matrix and proceeds to the solution matrix process. In the end, the process will enter the ranking stage until the output can recommend the best prospective employees at Nagari Singguling. The results obtained in this study also provide a model or form of a semi-structured system, in determining the best prospective employees in Nagari Singguling using the TOPSIS method decision support system. The results of this study are based on data testing of 9 alternatives, it can be determined that alternative A5 on behalf of Dona Riona S.Pd is the best employee with a value of 0.63 . So that the benefit that will be obtained is to provide convenience
Simple Additive Weighting (SAW) Method to Provide Recommendations for Selection of Graphic Processing Unit (GPU) Adrul Hutama; Fajrul Islami; Dodi Guswandi
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.v9i2.71

Abstract

CV. Venes Jaya is a company that operates in the field of technological equipment such as computer hardware, monitors, recording equipment, communications equipment, networks, and many more. With the complete range of products sold and reliable teams, this company still has problems in providing recommendations for GPU selection to customers. This process is still carried out manually, namely by providing recommendations according to the funds owned by the customer. If there is more than one alternative that suits the funds owned by the customer, employees will have difficulty choosing them. Such a manual process is likely to be wrong or mistaken. Therefore, there is a need for innovation that can help and make it easier for employees to provide recommendations for GPU selection to customers, namely by implementing a Decision Support System (SPK) that uses the Simple Additive Weighting (SAW) method built with the VB programming language, and a MySQL database. in determining GPU recommendations that will be given to customers. This system is expected to help CV. Venes Jaya in providing GPU recommendations quickly, precisely and accurately. The results obtained from this research are that Alternative 5, namely the Gigabyte RTX 3080 Ti Gaming OC, was selected as the best alternative with a total value of 1. These results are the results obtained from the Decision Support System created by the author, where these results will be used as recommendations to customers in choosing Graphics . Processing Unit (GPU). This system can help CV. Venes Jaya in providing GPU recommendations to customers quickly, precisely and accurately
Sosialisasi Penentuan Guru Terbaik pada SMPN 17 Padang dengan Metode MOORA Guswandi, Dodi; Hafizh, M.; Novita, Triana
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 2 No 2 (2024): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpmda.v2i2.1236

Abstract

The determination of the best or outstanding teachers in the school has not been done objectively or in other words, the selection of the best teachers is still carried out in a subjective way where validation in determining the openness is not known. So to overcome this problem, the author proposes to apply the calculation of the Decision Support System (DSS) in solving the problem. The method used in Community Service (PKM) is the MOORA method and uses the criteria weighting method with Centroid Rank Order. The design of this DSS system is implemented in applications using the JAVA programming language so that management can easily use it. Using this Decision Support System can make it easier for the Principal of SMPN 17 Padang to determine the best teacher with the aim of rewarding or appointing even better positions to the best teachers.
Sosialisasi Promosi Wisata Alam Green View Danau Singkarak pada Media Sosial Guswandi, Dodi; Hafizh, M.; Novita, Triana
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 3 No 1 (2024): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpmda.v3i1.1562

Abstract

Green View Lake Singkarak is one of the tourist attractions located in Solok regency, West Sumatra with a breathtaking and interesting view with view of the mountains and Lake Singkarak that stretches widely, the number of tourists who visit this place is still small due to the lack of information spread on social media (Sosmed) such as Youtube, Instagram, Facebook, and Tiktok. So far, the dissemination of information about the beauty of this tourist attraction has only come from tourists who have visited this place. This community service was carried out by the Lecturer Team of Universitas Putra Indonesia YPTK Padang to increase the number of visitors to this tourist attraction so that people with a sales business and lodging around Green View Lake Singkarak can increase their income. After conducting socialization and training for the community who participate as participants in this service, they can use social media well by making content videos and other information about the natural beauty of Green View Lake Singkarak.
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 %.
Hybrid Analysis of Road Service Level Determination Decision Support System Guswandi, Dodi; Chairi, Maiyozzi
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13499

Abstract

Traffic congestion on the highway is one of the problems often faced by road users, as on the highway traffic in the city of Padang often experiences congestion due to the growth of several highways that are relatively smaller than the growth of traffic volume, causing a decrease in road service levels. This study aimed to determine the level of road services in several traffic lanes in the city of Padang. Data analysis using Hybrid Decision Support System (HDSS) modeling by combining the Analytical Hierarchy Process (AHP) method with the Weighted Aggregated Sum Product Assessment (WASPAS) This method is included in the Multi-Criteria Decision Making (MCDM) group. The AHP method can consistently determine the weight value of each criterion, and the WASPAS method can analyze alternative data to obtain decision results by ranking with the Weighted Sum Model (WSM) and Weighted Product Model (WPM) processes. The ranking results show that there are three types of road services in the city of Padang, namely B, C, and D with an accuracy rate of 0.6947%, this the results of this study using HDSS modeling can provide a better analysis process.
Co-Authors Adrul Hutama Agung Ramadhanu Chairi, Maiyozzi Desi Permata Sari Devia Kartika Dhio Saputra Enggari, Sofika Fajrul Islami Febri Hadi Ghina Ramadhanti Andonela Gushelmi Habib Yuhandri, Muhammad Hadi Syahputra Hadi Syahputra Hadi Syahputra Hafizh, M Hafizh, M. Liga Mayola M. Hafizh M.Hafizh Mardison Marissa, Dian Muhammad Hafizh Musli Yanto Nadia Yolanda Nasution, Annio Indah Lestari Novi Trisna Novita, Triana Rita Safitri, Wifra SIGIT SANJAYA, SIGIT Suci Wahyuni Suci Wahyuni Syafri Arlis Syamsiar, Syamsiar Triana Novita Triana Novita Wiyandra, Yogi Yogi Wiyandra Yulasmi