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All Journal Journal of Computer Networks, Architecture and High Performance Computing Journal Of Human And Education (JAHE) Jurnal Sistem Informasi dan Manajemen
Simatupang, Septian
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Analysis of the Multi Objective Optimization by Ratio Analysis (MOORA) Method in Determining Pilot Areas at PT. XYZ Simamora, Windi Saputri; Harahap, Siti Sarah; Idaman, Akbar; Simatupang, Septian
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4149

Abstract

This research analyzes the application of the Multi Objective Optimization by Ratio Analysis (MOORA) method model in determining the Pilot Area at PT XYZ. This method is used to evaluate various performance criteria, including customer satisfaction, productivity, service quality, and operational efficiency. Currently, the Pilot Area assessment and selection process at PT XYZ is still done manually, which causes a lack of accuracy and efficiency. MOORA was chosen for its ability to handle multi-criteria decision-making problems more systematically and objectively. The analysis results showed that Alternative Area 7 obtained the highest final score of 0.39, placing it as an area with superior performance. The application of MOORA is proven to improve accuracy and efficiency in the Pilot Area determination process, providing a more objective basis for decision-making. By using MOORA, PT XYZ can evaluate area performance more comprehensively and accountably. This research recommends that PT XYZ implement the MOORA method thoroughly and conduct periodic evaluations of the methods used. For theory development, PT XYZ can add specific evaluation criteria according to company needs. The implementation of these suggestions is expected to improve the quality of service and competitiveness of PT XYZ in the global market. Further research is expected to compare MOORA with other methods to strengthen the validity of the results. Thus, this research not only provides a practical contribution to PT XYZ but also adds academic insight into the application of multi-criteria optimization methods in the context of performance management and service improvement.
Simulasi Monte Carlo dalam Memprediksi Ketersediaan Barang (PT. Terang Abadi Pekanbaru) Simatupang, Septian
JURSIMA Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.399

Abstract

Abstract Inventory problems not only occur in companies engaged in manufacturing, but the problem also occurs in companies engaged in retail. Inventory problems also occur at PT. Terang Abadi. The inventory system used at this company mostly still uses intuition, estimation, and habits. As a result, predicting inventory becomes very risky when using the simple inventory model. Without a good inventory management, the company will be faced with the risk of being unable to meet customer demand so that inventory analysis needs to be done so that the company does not experience losses. One method that can be used is the monte carlo method. The data taken is inventory data for the last 3 years, namely 2019 to 2021. This data is simulated by programming PHP as a data implementation system. Simulation results from this study obtained an accuracy rate of 90% for simulations in 2019 and 97% for simulations in 2020. By getting greater accuracy, this method is feasible to use and apply to predict the availability of goods in the future. Keywords: Simulation, Monte Carlo, Prediction, Inventory
Development of a YOLO-Based Artificial Intelligence (AI) System for Early Detection of Stunting Risk in Children in 3T Regions of North Sumatra Province Ramadhansyah, Rizki; Simatupang, Septian; Abdillah, Rizky
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 4 (2025): Articles Research October 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i4.6954

Abstract

Stunting is a chronic nutritional problem that has long-term impacts on children’s physical growth, cognitive development, and future productivity. This condition remains a major challenge in the 3T regions (frontier, outermost, and disadvantaged areas) of North Sumatra Province due to limited healthcare personnel, lack of measurement facilities, and delays in early detection. This study aims to develop an artificial intelligence system integrating YOLOv8 and Random Forest to automatically and in real time detect stunting risk in children. The YOLOv8 model is utilized to detect the presence of a child and estimate height through visual image analysis, while the Random Forest algorithm classifies the risk level based on the Height-for-Age Z-score (HAZ) derived from anthropometric and demographic data. The dataset consists of 29 children from 3T regions, with training and testing splits used to evaluate model performance. The results show that the system achieved an accuracy of 97.8%, precision of 96.5%, recall of 95.9%, F1-score of 96.2%, and an area under the ROC curve (AUC) of 0.98. The system successfully detects children in real time, produces risk classifications consistent with manual measurements, and automatically documents examination data. The novelty of this research lies in the integration of YOLO for automatic height measurement and Random Forest for nutritional classification, which has not been applied in the 3T regional context. This system has the potential to serve as a digital tool for healthcare workers and posyandu cadres to accelerate child nutrition monitoring in an efficient, accurate, and well-documented manner.
Application Of Artificial Intelligence In Learning And Teaching Activities In The Village Djunaedi, Djunaedi; Hanasi, Raihan A.; Susilawati, Susilawati; Fikri, Maiza; Simatupang, Septian; Fauzan, Fauzan; Syahrul, Muhammad
Journal Of Human And Education (JAHE) Vol. 4 No. 4 (2024): Journal Of Human And Education (JAHE)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v4i4.1258

Abstract

Abstract Artificial Intelligence (AI) has become an increasingly important field in the current era of digital transformation. Artificial Intelligence (AI), is a technology designed to make computer systems able to imitate human intellectual abilities. Artificial intelligence (AI) allows computers to learn from experience, identify patterns, make decisions, and complete complex tasks quickly and efficiently. Artificial Intelligence (AI) is able to connect every device, so that someone can automate all devices without having to be on site. More than that, currently there are many machines that can interpret certain conditions or events with the help of Artificial Intelligence (AI). The processes that occur in Artificial Intelligence (AI) include learning, reasoning, and self-correction. The implementation of AI in human workmanship is to obtain optimal performance results with fast processing times and maximum results. In today's modern era, artificial intelligence (AI) is very necessary to make activities easier, especially in rural areas. So that the village becomes a modern village and is more advanced with today's technology. Therefore, this Community Service was carried out in Cisadane Village, Kwandang District, North Gorontalo Regency, Gorontalo Province. In obtaining the data used were observation and literature study. This service activity is an effort to apply artificial intelligence (AI) in learning and teaching activities in Cisadane Village, Kwandang District, North Gorontalo Regency, Gorontalo Province. This effort was motivated by the lack of implementation and lack of human resources in artificial intelligence (AI) technology in Cisadane Gorontalo Village, which resulted in artificial intelligence (AI) technology in Cisadane Gorontalo Village not being optimal. As a form of the author's thinking, several efforts and breakthroughs are offered, namely; 1.) The role of Artificial Intelligence (AI) for the people of Cisadane Village in creating a modern and technology-literate Village, by making all activities in the village easier. 2.) Increasing Human Resources in utilizing Artificial Intelligence (AI) Technology, which previously did not know, became aware so that can advance the village. Keywords : Artificial Intelligence, AI, Cisadane Village, Community Service
Analysis of the Multi Objective Optimization by Ratio Analysis (MOORA) Method in Determining Pilot Areas at PT. XYZ Simamora, Windi Saputri; Harahap, Siti Sarah; Idaman, Akbar; Simatupang, Septian
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4149

Abstract

This research analyzes the application of the Multi Objective Optimization by Ratio Analysis (MOORA) method model in determining the Pilot Area at PT XYZ. This method is used to evaluate various performance criteria, including customer satisfaction, productivity, service quality, and operational efficiency. Currently, the Pilot Area assessment and selection process at PT XYZ is still done manually, which causes a lack of accuracy and efficiency. MOORA was chosen for its ability to handle multi-criteria decision-making problems more systematically and objectively. The analysis results showed that Alternative Area 7 obtained the highest final score of 0.39, placing it as an area with superior performance. The application of MOORA is proven to improve accuracy and efficiency in the Pilot Area determination process, providing a more objective basis for decision-making. By using MOORA, PT XYZ can evaluate area performance more comprehensively and accountably. This research recommends that PT XYZ implement the MOORA method thoroughly and conduct periodic evaluations of the methods used. For theory development, PT XYZ can add specific evaluation criteria according to company needs. The implementation of these suggestions is expected to improve the quality of service and competitiveness of PT XYZ in the global market. Further research is expected to compare MOORA with other methods to strengthen the validity of the results. Thus, this research not only provides a practical contribution to PT XYZ but also adds academic insight into the application of multi-criteria optimization methods in the context of performance management and service improvement.
Co-Authors Abdillah, Rizky Akbar Idaman Djunaedi Djunaedi Fauzan . Fikri, Maiza Hanasi, Raihan A. Ramadhansyah, Rizki Simamora, Windi Saputri Siti Sarah Harahap Susilawati, Susilawati syahrul, muhammad Windi Saputri Simamora