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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Serambi Engineering KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) TECHSI - Jurnal Teknik Informatika Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Wahyu Fuadi
Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Pemilihan Tempat Kost Menggunakan Metode Multi Attribute Utility Theory Dan Algoritma A* Yesy Afrillia; Wahyu Fuadi; Ayu Indah Lestari
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6279

Abstract

Overseas students usually have difficulty finding boarding houses around Malikussaleh University. To get information on boarding houses, they have to search manually, so the time needed to find a boarding house can be very long. The purpose of this research is to produce a Geographic Information System that can make it easier for students to find information about the location of boarding houses, provide recommendations in selecting boarding houses, and find the shortest distance for each boarding house to campus. By using the MAUT method combined with an algorithm A* can provide recommendations in selecting boarding houses and provide the shortest distance from the location of each boarding house to the Campus. The results of this study resulted in recommendations for boarding houses based on the results of ranking using the MAUT method. The boarding houses with the top three rankings are 4G Boarding House, Ceiza Boarding House, and Hj Boarding House. Madriah. With distance of 0.75 km, 2.01 km and 1.38 km. With an algorithmA* to find the closest route it can be concluded that the MAUT method and algorithm A* is a combination that can be used in evaluating boarding houses and solutions in searching for the shortest distance.
DECISION SUPPORT SYSTEM FOR SELECTING DIRECT CASH ASSISTANCE RECIPIENTS IN PANTON LABU VILLAGE USING A WEB-BASED AND MFEP METHOD Zahidi Pratama; Wahyu Fuadi; Nunsina Nunsina
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 6 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i6.3329

Abstract

The distribution of Direct Cash Assistance (BLT) often faces challenges related to data accuracy and fairness in recipient selection. This study aims to develop a web-based decision support system for selecting BLT recipients in Panton Labu Village using the Multi-Factor Evaluation Process (MFEP) method. The system was developed following the Waterfall software engineering model, utilizing PHP for programming and MySQL for database management. Data were collected through field observations, literature reviews, and interviews with village officials. The MFEP method evaluates prospective recipients based on six criteria: employment status, number of dependents, homeownership, building type, floor type, and monthly income. The system incorporates a Geographic Information System (GIS) feature to visualize applicants' home locations, with color-coded markers indicating eligibility. Testing on 120 data entries revealed that 34.2% (41 individuals) qualified for assistance using a minimum threshold score of 3.00. The system successfully automated calculation processes, enhanced transparency through digital mapping, and provided a user-friendly interface. This implementation demonstrates the effectiveness of the MFEP method in supporting objective, systematic, and targeted decision-making for social assistance programs at the village level
Prediksi Jumlah Kebutuhan Pemakaian Air Menggunakan Metode Fuzzy Time Series Pada Perumda Aceh Utara Ayu Ramazani; Wahyu Fuadi; Rini Meiyanti
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 8, No 2 (2025): Juli
Publisher : Akademi Ilmu Komputer Ternate

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v8i2.360

Abstract

Abstrak: Penelitian ini bertujuan untuk mengembangkan sistem peramalan yang akurat dan efektif menggunakan metode Fuzzy Time Series (FTS) untuk memprediksi kebutuhan konsumsi air pada Perusahaan Umum Daerah Air Minum (PERUMDA) Tirta Pase Aceh Utara. Sistem peramalan ini dibangun dengan memanfaatkan data historis distribusi dan produksi air bersih yang diperoleh dari pihak PERUMDA selama periode 2023 hingga 2024. Dalam pengembangan sistem, digunakan pendekatan model Unified Modeling Language (UML) untuk merancang tahapan pengembangan sistem, dimulai dari pembuatan Use Case Diagram, Sequence Diagram, hingga Activity Diagram. Model-model ini digunakan untuk menggambarkan proses sistem, interaksi pengguna, serta alur data yang mendukung pengolahan informasi dalam sistem peramalan. Metode FTS dipilih karena kemampuannya dalam menangani data deret waktu yang mengandung ketidakpastian, serta kesederhanaannya dalam pengolahan data tanpa memerlukan proses pelatihan yang kompleks. Sistem yang dikembangkan bertujuan untuk memberikan prediksi yang lebih akurat terkait kebutuhan air bersih, sehingga dapat digunakan sebagai alat bantu dalam pengelolaan distribusi air yang lebih efisien. Implementasi sistem ini berhasil memberikan hasil yang dapat diandalkan dalam memprediksi kebutuhan konsumsi air secara lebih tepat waktu. Dengan keberhasilan penerapan sistem ini, PERUMDA Tirta Pase Aceh Utara kini dapat membuat keputusan yang lebih baik dalam merencanakan dan mengelola pasokan air, serta memastikan ketersediaan air yang cukup untuk memenuhi kebutuhan masyarakat di wilayah tersebut. Sistem ini juga dapat diadaptasi dan diterapkan pada wilayah lain yang menghadapi permasalahan serupa dalam pengelolaan distribusi air bersih.Kata kunci: Fuzzy Time Series, Prediksi Kebutuhan Air, Distribusi Air, PERUMDA, UMLAbstract: This study aims to develop an accurate and effective forecasting system using the Fuzzy Time Series (FTS) method to predict water consumption needs at the Perusahaan Umum Daerah Air Minum (PERUMDA) Tirta Pase Aceh Utara. The forecasting system is built by utilizing historical data on water distribution and production obtained from PERUMDA for the period from 2023 to 2024. In the system development process, a Unified Modeling Language (UML) approach is used to design the stages of system development, starting with the creation of Use Case Diagrams, Sequence Diagrams, and Activity Diagrams. These models are used to represent system processes, user interactions, and data flows that support the information processing in the forecasting system. The FTS method was chosen for its ability to handle time-series data containing uncertainty, as well as its simplicity in data processing without requiring complex training processes. The developed system aims to provide more accurate predictions regarding clean water needs, thus serving as a tool for more efficient water distribution management. The implementation of this system has successfully provided reliable results in predicting water consumption needs in a more timely manner. With the successful application of this system, PERUMDA Tirta Pase Aceh Utara can now make better decisions in planning and managing water supply, ensuring sufficient water availability to meet the needs of the community in the region. This system can also be adapted and applied to other areas facing similar challenges in clean water distribution management..Keywords: Fuzzy Time Series, PERUMDA, Water Demand Prediction, Water Distribution, UML
Decision Support System For Selecting School Majors In Man Using The Weighted Aggregated Sum Product Assessment Method Rifky Firzani Marpuang; Wahyu Fuadi; Hafizh Al Kautsar Aidilof
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

Abstract

Determining school majors at Madrasah Aliyah Negeri (MAN) is an important process that must consider various factors such as academic grades, interests, and talents of students. However, the determination of the applicable majors still has problems due to several factors such as the environment or parents' requests so that the selection of students' majors is not in accordance with the abilities and talents of students. The selection of majors is also still done manually, so it is less efficient and takes a long time. This research aims to design and build a web-based Decision Support System (DSS) using the Weighted Aggregated Sum Product Assessment (WASPAS) method that is useful for helping schools determine majors that are in accordance with student abilities. This decision support system combines various criteria such as report card scores, academic test results, and practical skills to provide optimal majoring recommendations. The WASPAS method was chosen because of its ability to combine the Weighted Sum Model (WSM) and Weighted Product Model (WPM) methods, which results in more accurate calculations. The calculation test results show that the system built is able to provide major recommendations more quickly and effectively compared to the manual method. This system is expected to help schools in managing student majors more efficiently and objectively.
Cooperative Loan Eligibility Determination System Using The Evaluation Based on Distance form Average Solution (EDAS) Method Aina Rahmadani; Wahyu Fuadi; Ar Razi
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

Abstract

The rapid development of Decision Support Systems (DSS) has provided significant benefits, especially in supporting decision-making across various fields, including determining credit loan eligibility within cooperatives. Loans involve transactions in which lenders provide funds or assets to borrowers under agreed-upon terms. DSS is essential for enhancing objectivity and reducing the risk of non-performing loans arising from subjective evaluations. This study produces a web-based DSS capable of evaluating the loan eligibility of cooperative members by implementing the Evaluation Based on Distance from Average Solution (EDAS) method, combined with Rank Order Centroid (ROC) weighting. The system analyzes several criteria, such as collateral, membership status, loan amount, loan term, income, remaining loan balance, and payment status. The EDAS method generates a ranking based on eligibility, with alternative N0071 achieving the highest score of 0.907, followed by N0004 with a score of 0.830, and N0019 with a score of 0.762. The results of the system testing indicate that the loan eligibility calculations produced by the system are accurate and consistent with manual calculations, achieving a match of 95%. This ranking simplifies the cooperative's decision-making process. Furthermore, the system accelerates the loan eligibility determination process, enabling cooperatives to serve their members more effectively and efficiently.
Co-Authors Aina Rahmadani Ar Razi Ayu Indah Lestari Ayu Ramazani Dedi Fariadi Ermatita Ermatita Ermatita Ermatita Eva Darnila Fadlisyah Fadlisyah Faizar Abdurrahman Fajriana, Fajriana Hafizh Al Kautsar Aidilof Iwan Pahendra Iwan Pahendra Anto Saputra Kamilaini Kamilaini Lidya Rosnita Lina Mardiana Harahap Maulana Amri Muhammad Ihsan Muhammad Sadli Muhammad Sadli, Muhammad Muhammad Wahyu Pohan Nunsina, Nunsina Nurul Islami, Nurul Rahmawati M Rifky Firzani Marpuang Rini Meiyanti Risawandi, Risawandi Riska Yanti Yesy Afrillia Zahidi Pratama