cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Novi Yona Sidratul Munti
Contact Email
ona.ginda@gmail.com
Phone
+6281374667372
Journal Mail Official
ona.ginda@gmail.com
Editorial Address
Jl.Tuanku Tambusai No.23 Bangkinang Kabupaten Kampar-Riau » Tel / fax : (0762)21677 /
Location
Kab. kampar,
Riau
INDONESIA
Jurnal Inovasi Teknik Informatika
Published by Universitas Pahlawan Tuanku Tambusai
ISSN : 26206153     EISSN : 26206153     DOI : 10.31004jiti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering
Jurnal JITI :Jurnal Inovasi Teknik Informatika , adalah sebuah jurnal universal yang didedikasikan untuk publikasi hasil penelitian yang berkualitas dalam bidang Teknologi Informasi namun tak terbatas secara implisit.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol. 1 No. 2 (2018): September 2018" : 6 Documents clear
LOGIKA FUZZY UNTUK MENENTUKAN ASUPAN KALORI PADA TERAPI DIET TERHADAP PENDERITA OBESITAS Maha Rani
Jurnal Inovasi Teknik Informatika Vol. 1 No. 2 (2018): September 2018
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

It takes time for a while to determine calory intake for diabetics. Computer technology has been growing rapidly, that can help human life even outside the field of computer science. One of the ways to fulfill those needs is by using fuzzy methode. Fuzzy methode has been applicated in many fields, especially in health. In diet theraphy, obesity can be prevented by restriction in food intake, called diet. Calory intake is determined manually by counting ideal weight combined with other weight. In this research, researcher use fuzzy logic to determine calory intake for patients with obesity when nutrition section still use counting ideal weight, basal needs and activity manually. Therefore, it is a need a methode that can determine calory intake in diet therapy for the sake of a new knowledge and more competitive like for Puskesmas Ambacang.Keywords : Fuzzy Logic, Mamdani Method, Calory Intak
ANALISIS CLUSTERING TINGKAT KEPARAHAN PENYAKIT PASIEN MENGGUNAKAN ALGORITMA K-MEANS (STUDI KASUS DI PUSKESMAS BANDAR SEIKIJANG) Mentari Tri Indah Rahmayani
Jurnal Inovasi Teknik Informatika Vol. 1 No. 2 (2018): September 2018
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (730.858 KB)

Abstract

Puskesmas Bandar Seikijang is one of the community health center services located in the Bandar Seikijang sub-district of Pelalawan Regency. The number of patients in the puskesmas continues to increase every year. With the increasing number of patients is directly proportional to the increase in the types of patient's disease. To facilitate public health services it is necessary to classify the severity of the patient's disease. Clustering of the patient's disease consists of 3 clusters namely severe disease, moderate disease and mild disease. Disease grouping using the K-Means method. The purpose of this study was to classify the severity of the patient's disease, determine the level of accuracy of the cluster the severity of the patient's disease, find out the most diseases suffered by the community around the health center, and find out the similarities in manual data processing and using Rapid Miner software. Data samples on manual processing were 15 patients and overall data were 278 patients. The results showed the severity of Cluster patient disease (C0) was in severe disease with 47 patients, cluster (C1) was in mild disease with 82 patients, and cluster (C2) was in moderate disease with 149 patients. The severity of the patient's disease is in patients with moderate disease with a percentage of 53.59%. The diseases most often suffered by the community around the puskesmas are ARI, dengue fever and malaria. And the implementation results using Rapid Miner Software are the same as manual data processing.Keywords : Data Mining, Clustering, K-Means, Severity of Patient Disease, Rapid Miner
Analisa Tingkat Pemahaman Adat Istiadat Masyarakat Kenagarian Kinari Dengan Konsep Fuzzy Logic Dhio Saputra; Irzal Arief Wisky
Jurnal Inovasi Teknik Informatika Vol. 1 No. 2 (2018): September 2018
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.398 KB)

Abstract

Kinari Nagari is one of the nagari in the Bukit Sundi sub-district, Solok regency which has Minangkabaucustoms that are still sustainable in the midst of community life, Kinari Nagari is also known as Nagari a thousand onerumah gadang with the customary application of basandi sarak, sarak basandi Kitabullah, which means community life isinseparable from harmony between customs and religion, kinari nagari has a tradition that is still thick, everything is seenin the daily lives of the people who still apply customary rules and norms of Minangkabau, which are seen in the way ofcommunication, daily behavior, the way to dress it all is written in the customary rules that exist in the village. Customsare cultural behaviors and rules that have been tried to be implemented in the community, with the existence of customscan have an impact on the behavior of the kinari nagari community. This research was conducted to analyze the level ofunderstanding of the kinari dancarian community customs. This research was conducted with the concept of fuzzy logicbased on artificial intelligent (AI).Keywords—customs, fuzzy logic, artificial intelligent.
PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT LUPUS ERITMATOSUS SISTEM(LES) DENGAN METODE FORWARD CHAINING MENGGUNAKAN PEMROGRAMAN PHP DAN MySQL Novi Yona Sidratul Munti
Jurnal Inovasi Teknik Informatika Vol. 1 No. 2 (2018): September 2018
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1396.043 KB)

Abstract

Tujuan penelitian adalah merancang dan membangun rekayasa perangkat lunak sistem pakar berbasis web yang mampu mendiagnosa penyakit Lupus Eritmatosus Sistem (LES) pada manusia untuk mendapatkan solusi dan informasi dengan mudah dan cepat. Hasil yang ditampilkan berupa kondisi user terkait dengan Lupus Eritmatosus Sistem (LES) . Hasil juga dilengkapi dengan penjelesan penyakit dan solusi pengobatan yang ditampilkan dalam bentuk website menggunakan pemrograman PHP dengan database MySQL. Kesimpulan dalam penelitian ini adalah bahasa pemograman PHP dan MySQL terbukti mampu diimplementasikan dalam merekayasa sistem pakar untuk mendiagnosa penyakit Lupus Eritmatosus Sistem (LES). Metode fordward chaining terbukti mampu melakukan penelusuran /pelacakan gejala penyakit Lupus Eritmatosus Sistem (LES) dengan mudah dan cepat. Sistem online dapat membantu user mendapatkan informasi tentang jenis-jenis penyakit, gejala dan solusi pengobatan pada penyakit Lupus Eritmatosus Sistem (LES)..
Perancangan Data Mining Untuk Menentukan Tingkat Kelarisan Sparepart Mobil Pada Bengkel Andesco Menggunakan Metode Clustering Dengan Algoritma K-Means Berbasis Web Teri Ade Putra
Jurnal Inovasi Teknik Informatika Vol. 1 No. 2 (2018): September 2018
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The growing competition in the business world, especially in the workshop industry and auto spare parts sales requires developers to find a pattern that can increase sales and marketing of goods in the workshop, one of which is the utilization of transaction data. At Andesco Motor manager lacking in reviewing products sold, products of what is needed consumer and data storage is less effective. In this analysis used the application Clustering using K-Means algorithm. Clustering is a technique of one of the functionalities of data mining, clustering algorithm is an algorithm of grouping a number of data into groups of certain data (cluster). So with the grouping of this data can determine the Andesco Motor selling goods and slow-moving. Warehouse so that the items do not accumulate. With the design of data mining application that is displayed in the form of websites using PHP with a MySQL database program is expected to provide real solutions to Andesco Motor in order to find out which items are selling and where the goods are not selling.Keywords: Data Mining, Clustering, K-Means algorithm, PHP MySQ
PENERAPAN METODE K-MEANS CLUSTERING UNTUK MENENTUKAN CALON MAHASISWA BERPRESTASI Lidya Rizki Ananda
Jurnal Inovasi Teknik Informatika Vol. 1 No. 2 (2018): September 2018
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.644 KB)

Abstract

It takes such a long time to choose a prospective student achiever. Since the support software has been developed in data processing and presentation of information. On of the ways to solve the problem is by using data mining. Aplicating data mining aims to speed up the process of decision making, which university used to process the student data manually. Data mining is combined with clustering methode by using K-Means algorithm can make the process easier to choose a prospective student achiever, then become a new knowledge and more competitive like for Akademi Manajemen Gunung Leuser Palas Sumatera Sumatera Utara.Keywords : Data Mining, K-means Algorithm, Clustering

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2018 2018


Reset
Filter By Issues
All Issue Vol. 10 No. 01 (2025): Maret 2025 Vol. 9 No. 2 (2024): September 2024 Vol. 9 No. 1 (2024): Maret 2024 Vol. 8 No. 2 (2023): September 2023 Vol. 8 No. 1 (2023): Maret 2023 Vol. 7 No. 2 (2022): September 2022 Vol. 6 No. 1 (2022): Maret 2022 Vol. 5 No. 2 (2021): September 2021 Vol. 4 No. 1 (2021): Maret 2021 Vol. 3 No. 1 (2020): Maret 2020 Vol. 2 No. 1 (2019): Maret 2019 Vol. 1 No. 2 (2018): September 2018 Vol. 1 No. 1 (2018): Maret 2018 More Issue