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INDONESIA
Celebes Computer Science Journal
ISSN : 26848627     EISSN : 26848635     DOI : -
Celebes Computer Science Journal dapat menerbitkan artikel terkait: Kecerdasan Buatan (AI), Analitik, Pengembangan web, Interaksi manusia dan komputer, Desain Grafis, Rekayasa Perangkat Lunak, Pengembangan Software, Hardware, Jaringan Komputer, Keamanan Komputer, Data Mining, Sistem Pengambilan Keputusan.
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Articles 5 Documents
Search results for , issue "Vol 2 No 2 (2020): Celebes Computer Science Journal" : 5 Documents clear
Aplikasi System Presensi Mahasiswa Dengan Menggunakan Barcode Pada Laboratorium Fakultas Ilmu Komputer UMI Fadli Tamrin
Celebes Computer Science Journal Vol 2 No 2 (2020): Celebes Computer Science Journal
Publisher : LLDikti Wilayah IX Sulawesi dan Gorontalo

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Abstract

Absence of Student of Faculty Computer Science specially at Laboratory still using of manual absence on that account to facilitate the dosen and assistant lab call the roll the student hence writer make the system of absence of using barcode. Writer make the absence program by using Ianguage of pemrograman borland delphi, database Mysql and appliance of scan barkode. With the existence of the absence appliance presumably can assist the job of dosen and assistant lab in calling the roll incoming student, this absence system beryl can summarize the student data in bracket certain time. madely of absence system use this barcode, writer expect this system can assist the process school activity specially student absenc
Perancangan Sistem Pakar Diagnosa Penyakit Meningitis Menggunakan Metode Forward Chaining asrul asrul
Celebes Computer Science Journal Vol 2 No 2 (2020): Celebes Computer Science Journal
Publisher : LLDikti Wilayah IX Sulawesi dan Gorontalo

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Abstract

This study aims to design an expert system for diagnosing meningitis using the forward chaining method at Makassar Daya Hospital which seeks to adopt human knowledge to computers, so that computers can solve problems as is usually done by special meningitis experts. This type of research uses the forward chaining method as a tool to detect early suspected meningitis (inflammation of the lining of the brain) and how to prevent it. This system is tested using white-box testing to ensure that the system is free from logical errors and its validity is guaranteed. The product produced from this study is an expert system that can handle patients easily and quickly so that the resulting service is better.
PENENTUAN MINAT SISWA MENGGUNAKAN METODE PROFILE MATCHING Azwar Azwar; Fitri Nasir Masi
Celebes Computer Science Journal Vol 2 No 2 (2020): Celebes Computer Science Journal
Publisher : LLDikti Wilayah IX Sulawesi dan Gorontalo

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Abstract

Public High School one Paguyaman has implemented curriculum 2013, interest at the high school level is done early, namely from the beginning of entry in grade X. Interest at the high school level is divided into 3 interests namely MIPA, IPS and Bahasa. However, in the process of interest found there are still many students who choose interests incompatible with their competencies. This research aims to implement the Profile Matching method on the development of the system to support student interest selection decisions. The technique used is Research and Development. Based on the results of the research that has been done, it is known that the Mathcing Profile method can be implanted. This is evidenced by the results of tests conducted by white box testing method and Black Box testing.
Sistem Asosiasi Penyusunan Obat Pada Apotek Balai Rehabilitasi Badan Narkotika Nasional Baddoka Menggunakan Algoritma Apriori Tatik Maslihatin
Celebes Computer Science Journal Vol 2 No 2 (2020): Celebes Computer Science Journal
Publisher : LLDikti Wilayah IX Sulawesi dan Gorontalo

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Abstract

Abstract. This research was conducted to implement a priori algorithm in drug association. The research method used is descriptive. The results of this study indicate that the drug association application can provide drug associations in accordance with calculations carried out manually based on the results of the a priori algorithm testing minimum support 3 and minimum confidence 3 showing that the results obtained are the same, with an accuracy level of 90 -98. %. So that it can be used in determining drug associations based on drugs that are often used simultaneously.
Mesin Cuci Tangan Portable Otomatis Arham Arifin
Celebes Computer Science Journal Vol 2 No 2 (2020): Celebes Computer Science Journal
Publisher : LLDikti Wilayah IX Sulawesi dan Gorontalo

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Abstract

Covid-19 is a virus that can adhere to various surfaces of objects. One of the causes of someone contracting the Covid-19 virus is by touching the face, namely the nose and eyes, where the hand has previously touched objects or surfaces that have been infected with the Covid-19 virus. These problems are our advocates for making a portable automatic hand washing machine. This solution is considered important to overcome the spread of the Covid-19 virus through the touch of a hand. In general, the work of the system is to drain water and soap from the faucet automatically and alternately with the trigger is the hand reading by the proximity sensor. The working sequence is water first, then liquid soap, then water again and after that the hands can be dried by means of an automatic hand dryer blower. The hand washing machine that we make is protable and automatic which can be moved easily from one place to another, this allows it to be placed in a room that may be difficult to get to or far from a water source, because in this tool there is a water reservoir.

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