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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Transformatika
Mugiarso Mugiarso
Universitas Bhayangkara Jakarta Raya
Computer Science & IT Decision Sciences, Operations Research & Management

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The Weighted Product Method and the Multi-Objective Optimization on the Basis of Ratio Analysis Method for Determining the Best Customer Mugiarso Mugiarso; Rasim Rasim
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 1 (2023): March 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i1.6325

Abstract

The objective of this study is to compare the effectiveness of the Weighted Product (WP) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) methods in determining the best customers. Onesnet, the case study service provider, provides discounts and rewards to eligible customers to support this objective. The problem addressed in this study is how to determine the most relevant method for selecting eligible customers for bonuses. To achieve this, sensitivity testing was conducted by altering the weights of each criterion in both methods and observing the percentage changes of the results. The Weighted Product method multiplies the rating of each connected attribute, which is raised to the appropriate attribute weight, to decide. Data for this study was collected through interviews and observations at Onesnet and processed using the Rank Order Centroid (ROC) method for weighting, and the WP and MOORA methods for evaluating and selecting a decision. The WP and MOORA methods produced different total values and rankings, but the modeling with either method can be used equally for selecting the best customers. While there was a 60% similarity in data between the two methods, the WP method is recommended over MOORA, as it prioritizes customers with high loyalty criteria as the best customers.
The Weighted Product Method and the Multi-Objective Optimization on the Basis of Ratio Analysis Method for Determining the Best Customer Mugiarso Mugiarso; Rasim Rasim
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 11 No. 1 (2023): March 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i1.6325

Abstract

The objective of this study is to compare the effectiveness of the Weighted Product (WP) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) methods in determining the best customers. Onesnet, the case study service provider, provides discounts and rewards to eligible customers to support this objective. The problem addressed in this study is how to determine the most relevant method for selecting eligible customers for bonuses. To achieve this, sensitivity testing was conducted by altering the weights of each criterion in both methods and observing the percentage changes of the results. The Weighted Product method multiplies the rating of each connected attribute, which is raised to the appropriate attribute weight, to decide. Data for this study was collected through interviews and observations at Onesnet and processed using the Rank Order Centroid (ROC) method for weighting, and the WP and MOORA methods for evaluating and selecting a decision. The WP and MOORA methods produced different total values and rankings, but the modeling with either method can be used equally for selecting the best customers. While there was a 60% similarity in data between the two methods, the WP method is recommended over MOORA, as it prioritizes customers with high loyalty criteria as the best customers.
A Comparative Analysis of Sequential Search Algorithm Implementation within the Sales Information Systems of Wira Thrift Store and Rizky Snack Store Mugiarso Mugiarso; Marcellino Hutagalung; Miftahur Rizky; Rakhmat Purnomo; Dwipa Handayani; Rasim Rasim
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 14 No. 1 (2026): March 2026
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v14i1.12244

Abstract

This study evaluates the implementation of the Sequential Search algorithm to address manual data management challenges within Indonesian MSMEs, specifically regarding stock tracking inefficiencies. The search system was deployed across two distinct entities: Toko Wira Thrift (apparel sector) and Toko Rizky Snack (food sector) using PHP and MySQL. Blackbox testing was conducted through 14 scenarios covering both positive and negative conditions. The results demonstrate that the algorithm successfully enhanced real-time product search speeds for customers and optimized inventory management to prevent stock expiration, achieving a 100% functional success rate. The testing confirms the system's functionality, asserting that Sequential Search is an effective and flexible solution for improving operational efficiency across various MSME sectors.
Sistem Monitoring Kualitas Udara Ruang Kerja Berbasis IoT Menggunakan Sensor M-135 Rasim Rasim; Dwipa Handayani; Carudin Carudin; Achmad Noeman; Mugiarso Mugiarso
Jurnal Transformatika Vol. 24 No. 1 (2026): July 2026
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v24i1.15264

Abstract

Indoor air quality monitoring is important in workplaces because hazardous gas exposure may occur without clear sensory indications. This study developed an Internet of Things based air-quality monitoring system by integrating an MQ-135 sensor, an ESP32 controller, an LED Matrix P10 local display, and the Ganesha16 web monitoring platform. The novelty lies in the simultaneous delivery of environmental information through a local public display and remote web access within one integrated architecture. The system was developed using the Prototype method, covering requirement analysis, system design, prototype implementation, functional testing, evaluation, and refinement. Continuous testing was conducted for three days in a workplace environment and produced 1,090 monitoring records. The mean Air Quality Index was 41.84, classified as good, while all five functional scenarios, including sensor reading, data transmission, LED Matrix display, web monitoring, and real-time communication, operated successfully. These results show that the proposed architecture can support accessible real-time indoor air-quality monitoring. However, because MQ-135 responds to several gases, the prototype is more appropriate as an early air-quality monitoring system than as a precision instrument for carbon monoxide concentration measurement.        
Co-Authors Achmad Noeman Carudin Carudin Dwipa Handayani Marcellino Hutagalung Miftahur Rizky Rakhmat Purnomo Rasim Rasim Rasim Rasim Sugiyatno Sugiyatno