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All Journal Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Yoshida Sary
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Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

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Penerapan Metode Analytical Hierarchy Process (AHP) dalam Pemilihan Subkontraktor Terbaik pada PT. Tatha Group Rio Ferdinand Situmeang; Yoshida Sary
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): Agustus: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v3i3.1019

Abstract

Subcontractor selection is a crucial factor in determining the success of a construction project. The selected subcontractor not only plays a role in expediting the completion of the work but also influences the overall quality, cost, and timeliness of the project. Mistakes in decision-making, such as selecting a less competent subcontractor, can result in delays in completion, increased project costs, and even decreased construction quality. Therefore, a systematic, measurable, and objective method is needed to support the subcontractor selection process. This study aims to implement the Analytical Hierarchy Process (AHP) method as an approach in a decision support system for subcontractor selection. AHP was chosen because it can decompose complex problems into simpler structures by determining criteria weights and comparing alternatives. The criteria used in this study include expertise, work experience, timeliness of work, equipment availability, and bid price. By assigning weights to each criterion, the selection process can be carried out more transparently and measurably. The case study was conducted at PT. Tatha Group, a company engaged in the construction services sector. In this study, AHP was used to prioritize alternative subcontractors to be selected to assist in project implementation. The research results show that the AHP method produces clear, structured results and supports more accurate decision-making. Thus, the application of AHP not only minimizes subjectivity in assessments but also provides accountable recommendations for selecting the best subcontractor for the project's needs.
Analisa Dan Implementasi Long Short-Term Memory (LSTM) Dalam Kebutuhan Persediaan Barang di PT. Gunung Sari Indonesia Ricky Armando Sembiring; Yoshida Sary
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 5 No. 3 (2025): November: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v5i3.5578

Abstract

Inventory management plays a vital role in maintaining smooth distribution and operational efficiency within companies. Inaccurate forecasting of inventory needs can cause over-stock or less-stock conditions, leading to increased costs and reduced customer satisfaction. This study applies the Long Short-Term Memory (LSTM) method to forecast inventory requirements based on historical sales data at PT. Gunung Sari Indonesia and compares it with the conventional Moving Average approach. The dataset includes sales transactions from January 2023 to December 2024. The research stages involve data preprocessing, LSTM model construction using window sizes of 14, 30, and 60 days, and performance evaluation using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). The results indicate that the LSTM method is more adaptive to fluctuating sales patterns, while the Moving Average method provides more stable predictions for consistent sales patterns. The best MAPE values for the LSTM model range between 102–106%, while the Moving Average method yields values between 85–88%. Therefore, LSTM is preferable for datasets with irregular patterns, whereas Moving Average is more appropriate for stable sales trends.
Co-Authors Ricky Armando Sembiring Rio Ferdinand Situmeang