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Fendi Indra Pradana
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Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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Literatur Review: Klasifikasi Penyakit Parasit dengan Algoritma Decision Tree dan K-Nearest Neighbors (KNN) Muhammad Mabdail Hidayat; Kakan Kandarsyah; Randy Rizkiani; Fendi Indra Pradana
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 10 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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This literature review discusses the classification of parasitic diseases using Decision Tree and K-Nearest Neighbors (KNN) algorithms. Parasitic diseases, which are commonly found in tropical areas, require accurate diagnosis to prevent their spread and improve the effectiveness of treatment. In recent decades, Decision Tree and KNN algorithms have been widely used in medical data classification, especially for disease diagnosis. This study aims to evaluate the effectiveness of these two algorithms in parasitic disease classification based on a recent literature review. The literature review method was carried out by collecting and analyzing five related articles in the last five years. The results show that both algorithms have their own advantages and disadvantages; KNN excels in accuracy on large datasets while Decision Tree provides easier interpretation of results. The main challenges in using these two algorithms involve parameter selection and data sensitivity. Further recommendations in this study include the use of ensemble techniques to combine the advantages of both algorithms.
Rancang Bangun Sistem Penerimaan Peserta Didik Baru Berbasis Web (Studi Kasus : SDN Lemahduhur) Rapael Hutasoit; Fendi Indra Pradana; Muhammad Mabdail Hidayat; Wasis Haryono
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 08 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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SD Negeri Lemahduhur is a public elementary school that conducts new student admissions (PPDB) every year. Until now, the PPDB process has been carried out manually, requiring prospective students or their parents to visit the school in person to collect forms, fill in data, and submit physical documents. This process is considered inefficient as it takes time, incurs costs, and is prone to input errors and data loss. Because of these problems, the study's main goal is to create a web- based PPDB system that makes registering easier and increases the accuracy and speed of administrative work. Observation, conversation, and record study are some of the research methods that are used. The system was created using the Waterfall method of software development, and it was tried using the Black Box method to make sure that all of its functions work the way users want them to. The language used is PHP, and the database is MySQL.The planned online PPDB system has several main features, such as the ability to register online, share necessary papers, make payments through a bank transfer, and get alerts about the results of the selection. The method works well and meets the school's goals for a more current, open, and effective PPDB process, as shown by the test results.
Co-Authors Haryono, Wasis Kakan Kandarsyah Muhammad Mabdail Hidayat Randy Rizkiani Rapael Hutasoit