Achmad Birowo
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Sistem Pendukung Keputusan untuk Pengoptimalisasi Pemilihan Supplier Menggunakan Metode SAW pada Baking Daily Store Ryan Fakhroji; Aan Risdiana; Achmad Birowo
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 3 (2025): Juni : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i3.910

Abstract

The problem faced by Baking Daily Store is that there is no system that can be used to optimize supplier selection, which has only been done based on intuition and relationships. This has the potential to cause inefficiencies in supplier selection which have an impact on the availability of raw materials, product quality, and timeliness of delivery. Therefore, a decision support system was designed to help Baking Daily Store in choosing the best supplier objectively, quickly, and accurately. This system applies the Simple Additive Weighting (SAW) method to perform calculations and assessments based on predetermined criteria. The result of this system development is a desktop-based application using the Java programming language, which is expected to help management in making decisions in a more measurable and structured manner.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik pada PT. Dinda Holding Company (DHC) Menggunakan Metode Simple Additive Weighting (SAW) Bintang Dea Apriliansyah; Aan Risdiana; Achmad Birowo
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 3 (2025): Juni : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i3.914

Abstract

The problem faced by PT. Dinda Holding Company (DHC) is that it has difficulty in determining the best employees from a number of employees with varying performance qualities. Until now, the selection process has been carried out manually, taking into account the subjective assessments of the owner or store manager, without a structured evaluation system. As a result, employee selection tends to be inconsistent and leads to dissatisfaction among both employees and the business owner. Additionally, selected employees do not always demonstrate optimal performance, which impacts service quality and the operational sustainability of the store. Therefore, a decision support system was designed to assist PT. Dinda Holding Company (DHC) in selecting the best employees objectively, quickly, and accurately. Employees are human resources used as a driving force in the business operations of a company. The company faces the challenge of maintaining its competitive edge, which requires data on the performance of employees with good performance. This system applies the Simple Additive Weighting (SAW) method to perform calculations and evaluations based on predetermined criteria. The result of this system development is a desktop-based application using the Java programming language and a MySQL database, which is expected to assist management in making more measurable and structured decisions.
Sistem Pendukung Keputusan untuk Pengalokasian Dana Bantuan di Kelurahan Kebagusan dengan Metode Simple Additive Weighting (SAW) Indah Febriyanti; Aan Risdiana; Achmad Birowo
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 3 (2025): Juni : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i3.915

Abstract

The problem faced by Kelurahan Kebagusan is that there is no structured system in determining the allocation of aid funds to the community, so the distribution process is often uneven and less targeted. So far, the determination of aid recipients is only based on subjective observations and manual assessments that have the potential to cause ineffectiveness in decision making. Therefore, a decision support system was designed to assist the kelurahan in prioritizing beneficiaries objectively and transparently. This system uses the Simple Additive Weighting (SAW) method, which allows the assessment process to be carried out based on the weights of several predetermined criteria, such as economic conditions, number of dependents, employment status, and home ownership. The result of this system development is a desktop-based application using the Java programming language, which is expected to help the kelurahan in managing data and performing calculations quickly and accurately, so that the allocation of aid funds can be more targeted and fair. Keywords: Decision Support System, Simple Additive Weighting, Fund Allocation, Kebagusan Village.
Sistem Pendukung Keputusan Metode AHP Pemilihan Siswa Akademik Terbaik pada SMP Dharma Bakti Jakarta Timur Winton Almundarisna; Aan Risdiana; Achmad Birowo
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 3 (2025): Juni : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i3.864

Abstract

In the era of increasingly advanced technological development, decision support systems (DSS) play an important role in improving the quality of decision-making in the education sector. The selection staff at SMP Dharma Bakti find it difficult to objectively determine the best academic students because they still use a manual method that is prone to errors. This research aims to design a web-based decision support system that can help selection staff assess and determine their best academic students objectively and quickly. This system is developed using the PHP programming language, MySQL database, LARAVEL 8 framework, and applies the Analytical Hierarchy Process (AHP) method within it. This research produces a system that allows the SMP Dharma Bakti Selection Officers to input alternative data, namely student data, determine the weight of criteria and sub-criteria, and view the ranking results automatically, thus greatly facilitating the SMP Dharma Bakti Selection Officers in determining their best academic students.
Sistem Pemilihan Vendor Instalasi Menggunakan Metode Analytical Hierarchy Process dan Simple Additive Weighting Achmad Birowo; Hauzan, Muhammad; Aris Tantowi, Akhmad
Jurnal Informatika Vol 25 No 1 (2025): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jurnalinformatika.v25i7

Abstract

Telecommunication companies in carrying out network infrastructure development cannot be separated from the existence of cooperative relationships with vendors. Considering the importance of vendor selection, an information system in the form of an application is needed to make vendor selection can be done systematically and structured. This study aims to facilitate employees in selecting vendors, analyze employee knowledge in the vendor selection process, and implement a decision support system using a combination of the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The research will be carried out in several research stages. Where, data collection is carried out through in-depth interviews, observations, and literature studies. This study involves the stages of identifying key criteria in vendor selection and determining the types of attributes of each criterion according to the SAW method, formulating a pairwise comparison matrix to determine the weight of the criteria according to the AHP formula, then calculating the best vendor ranking based on the results of the SAW calculation. The results of this study are to facilitate employees in implementing network infrastructure installation services, a support system application has been created and designed that can assist in decision making when selecting vendors. Vendor selection data has been implemented through a strategically computed system, which is able to store and manage data well so as to increase its security.