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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) JOIV : International Journal on Informatics Visualization INVOTEK: Jurnal Inovasi Vokasional dan Teknologi MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Teknomekanik Jurnal Abdi Masyarakat Indonesia Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat
Meri Azmi
Jurusan Teknologi Informasi, Politeknik Negeri Padang
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Transportation Other

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GDSS Prototype Model for Supplier Selection at MDM Cooperative Azmi, Meri; Sonatha, Yance; Rahmayuni, Indri; Paboreal Dunque, Kristine Mae; Putra, Dwi Sudarno
JOIV : International Journal on Informatics Visualization Vol 5, No 1 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.1.473

Abstract

MDM is a trade cooperative business unit that supplies healthy food options for consumers around the Andalas University campus. So far, the selection of suppliers that provide supply goods to the stores is only based on the trust between both parties, which is the principle of mutual acquaintance and kinship. The problems that may arise from a process like this are the lack of the right supplier, unavailability of goods, relatively higher product prices, late delivery, and low-quality goods. Therefore, we need a GDSS that is capable of overcoming these problems. This GDSS helps in decision-making by determining the right supplier for each of the stores owned by the MDM Cooperative. The methods used are AHP, TOPSIS, and BORDA, involving six criteria and five tested alternatives. The AHP method is used to obtain the weight of each criterion taken from the pairwise comparison matrix. The TOPSIS method is used to determine which suppliers get priority for supply goods. Combining the AHP and TOPSIS methods can reduce the weaknesses of the TOPSIS itself by giving subjective weights. The use of the BORDA method can provide maximum results in selecting this supplier. This GDSS also involves three decision-making bodies: the head of the cooperative, the deputy, and the treasurer. The results of this prototype can show the best alternative selected based on the ranking method.
A Web-based Group Decision Support System for Retail Product Sales a Case Study on Padang, Indonesia Azmi, Meri; Satria, Deni; Mulya, Farhan Rinsky; Sonatha, Yance; Putra, Dwi Sudarno
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.1331

Abstract

The industrial sector's growth has led to an increase in the number of industrial products available in the market. However, this has made it more challenging for retail merchants to choose which items to sell due to the overwhelming number of options. The seller must carefully consider various factors such as the type, quality, and probability of selling the goods to turn a profit. This research proposes a group decision support system to assist retail sellers in selecting the products to sell. The system is designed to process various information on comparing retail products against specific criteria, enabling sellers to make quick and accurate decisions. To achieve optimal results, this study combines three methods in the decision-making calculation process: Fuzzy Logic, EDAS, and Borda methods. The Fuzzy Logic method is used to assign a value to an unclear criterion, followed by the EDAS method ranking process, and ending with the combination of the decision-making results using the Borda method. The group decision support system is web-based and has been proven to provide effective solutions for retail business actors to increase sales and reduce losses. By using this system, retail sellers can make informed decisions about their products, enabling them to optimize their profits and reduce their risks. In conclusion, the increase in the number of industrial products has created challenges for retail merchants, but this research proposes a solution in the form of a group decision support system. Combining Fuzzy Logic, EDAS, and Borda methods results in an effective decision-making process that allows retail sellers to make informed decisions and achieve their business goals.
Group Decision Support System Using AHP, Topsis and Borda Methods for Loan Determination in Cooperatives Sonatha, Yance; Azmi, Meri; Rahmayuni, Indri
JOIV : International Journal on Informatics Visualization Vol 5, No 4 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.4.640

Abstract

Cooperatives are one of the business units which purpose is to help the economy of small and medium-sized communities. One of the cooperatives in the city of Padang, West Sumatra, Indonesia is KPN Kapur Warna. The routine business unit managed by KPN Kapur Warna is for savings and loans. So far, the savings and loan process is still done manually, including determining the eligibility of members to receive loans. Determination of the eligibility of members is carried out less objectively, by only looking at the profile of participants in general and the decision-making process is only carried out by one person, namely the chairman of the cooperative. The process that has been carried out so far has often resulted in wrong targets, namely providing loans to members who are not appropriate, resulting in bad credit or delays in paying monthly installments of participants. Therefore, we need a group decision support system that can help solve the above problems. In this study, a group decision support system was made using the AHP, TOPSIS and BORDA methods using five main criteria. The AHP method is used to determine the priority value for each criterion and the TOPSIS method is used to rank each alternative. Each decision maker performs the same process with the two methods, and then voting is carried out using the BORDA method of combining assessments for different decision makers. This study succeeded in providing a reference in determining the eligibility of which members are entitled to receive loans from cooperatives, with results that are more subjective and can help cooperatives in their work efficiently.
Pelatihan Pengenalan Flowgorithm sebagai Solusi Inovatif untuk Mendekomposisi Abstraksi Algoritma untuk Guru MGMP Informatika SMA Kota Padang Sonatha, Yance; Azmi, Meri; Rayendra, Rayendra; Rasyidah, Rasyidah; Suryani, Ade Irma
Jurnal Abdi Masyarakat Indonesia Vol 6 No 1 (2026): JAMSI - Januari 2026
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.2378

Abstract

Perkembangan teknologi digital menuntut penguasaan keterampilan berpikir komputasional, di mana pemahaman algoritma menjadi fondasi kritis. Namun, pembelajaran algoritma di tingkat sekolah menengah sering terkendala oleh sifatnya yang abstrak. Observasi awal terhadap Guru MGMP Informatika Kota Padang menunjukkan 56% dari 25 responden belum pernah menggunakan alat bantu visual untuk pengajaran algoritma. Pengabdian masyarakat ini bertujuan untuk menjembatani kesenjangan tersebut melalui introduksi dan pelatihan Flowgorithm, sebuah perangkat lunak untuk memvisualisasikan algoritma dalam bentuk flowchart interaktif. Metode pelaksanaan mencakup tahap perencanaan, pendahuluan (pre-test), pelatihan (12 Agustus 2025), pendampingan intensif, dan evaluasi (post-test). Hasil kegiatan menunjukkan peningkatan kompetensi guru yang signifikan. Sebanyak 96% peserta mengalami peningkatan pemahaman konsep algoritma, 92% peserta menjadi terampil menggunakan Flowgorithm, dan 92% lainnya melaporkan peningkatan kepercayaan diri dalam mengajar. Analisis mengungkap bahwa pendekatan "learning by doing", relevansi materi dengan kurikulum, dan antarmuka Flowgorithm yang user-friendly menjadi faktor kunci keberhasilan. Disimpulkan bahwa Flowgorithm efektif sebagai media transisi dari konsep algoritma abstrak ke implementasi nyata, sehingga direkomendasikan untuk diadopsi secara lebih luas dan didukung dengan pelatihan lanjutan.
Co-Authors Ade Irma Suryani Cagadas, Dominic Olango Deni Satria Dunque, Kristine Mae Paboreal Dwi Sudarno Putra Dwiny Meidelfi Eno Fitriyanti Friadi, John Gusman, Taufik Indri Rahmayuni Kirana, Salsabila Okta Mulya, Farhan Rinsky Mutia Rahmi Dewi Nurhatisyah Nurhatisyah Nurhayati - Nurhayati Nurhayati Paboreal Dunque, Kristine Mae Rasyidah Rasyidah Rayendra, Rayendra Rika Idmayanti Rita Afyenni Ronal Hadi Roni Putra Siti Sa'adiyah Windayati, Diana Titik Yance Sonatha