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All Journal Jurnal E-Komtek Jurnal Penelitian Sistem Informasi Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Triase Triase
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Implementation of Random Forest Algorithm for Classification of Eligibility For Social Assistance Recipients In Information Systems Mita Trianda; Triase Triase
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2197

Abstract

This study aims to develop a web-based information system for classifying the eligibility of social assistance (BANSOS) recipients using the Random Forest algorithm in the Bagan Batu Kota Subdistrict. The system is designed to assist local authorities in identifying BANSOS recipients more accurately and efficiently, minimize errors, and enhance distribution fairness. A quantitative research method was employed, with data collection techniques including observation, interviews, literature review, and document analysis. The dataset consists of 1,100 samples with features such as income, family size, and housing conditions. The Random Forest algorithm was implemented by building a classification model based on training and testing data. The evaluation showed a system accuracy rate of 97%, with a classification error of only 3%. The system provides features for recipient data management, field validation, and automated reporting, supporting more precise decision-making. The results of this study are expected to offer a solution for more effective and transparent social assistance distribution.
Pengendalian Stok Ikan Berbasis Website Menggunakan Metode EOQ dan JIT di PT. Agung Sumatera Samudera Abadi (ASSA) Sibolga Yolanda Sianturi; Triase Triase; Fathiya Hasyifah Sibarani
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 3 No. 1 (2025): JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v3i1.2960

Abstract

The company PT. Agung Sumatera Samudera Abadi (ASSA) Sibolga sales system still uses a manual system using notebooks. So that it can slow down the way employees work and become ineffective. limitations in monitoring and controlling stock in real-time and fish stock supplies also often occur shortages or excesses which can result in losses. The shortage of fish stock is caused by the frequency of fish demand being greater than the stock provided. While the excess fish stock is caused by the frequency of fish demand being less than the stock provided. so using the Economic Order Quantity (EOQ) and Just In Time (JIT) methods which are used to optimize and minimize inventory and manage fish stock at PT.ASSA by reducing excess inventory and shortages, and facilitating the inventory control process in real-time. The results of this study are in the form of a computerized system used to determine fish inventory using the EOQ and JIT methods. From the calculation results of the two methods, the final results of the EOQ method were obtained with a message frequency of 14 times a month with a quantity of fish messages of 4,565,650 Kg, while the JIT method was obtained with a message frequency of 6 times a month with a quantity of 2,262,548 Kg and with a reserve stock of 1,866,602 Kg.
Sistem Informasi Status Gizi Balita pada Posyandu Kelurahan Amplas Menggunakan Metode K-Nearest Neighbor Feby Ariska; Triase Triase; Adnan Buyung Nasution
Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Vol. 5 No. 2 (2026): Mei : Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupsim.v5i2.7087

Abstract

Posyandu (Integrated Health Post) is a public health facility that plays a crucial role in monitoring the development of toddlers. The process of recording nutritional status at te Amplas Village Posyandu is still handwritten in notebooks, requiring a long time to collect and analyze data from all toddlers, and parents often lose or forget their Posyandu cards. This study aims to develop an information system that can assist Posyandu cadres in automatically classifying toddler nutritional status. The K-Nearest Neighbor (KNN) method was used, with variables such as age, weight, height, mid-upper arm circumference, and gender. The training data used in this study used WHO standards as a reference for nutritional status. The system was tested using the K-value to achieve the best accuracy. The test results showed that the KNN method was able to classify toddler nutritional status with excellent accuracy. The developed information system also provides data recording features and toddler development graphs. This system makes monitoring toddler nutritional status faster, more accurate, and easier for Posyandu (Integrated Health Post) cadres.
Co-Authors Adnan Buyung Nasution Fathiya Hasyifah Sibarani Feby Ariska Mita Trianda Yolanda Sianturi