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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Fisika FLUX Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Nasional Komputasi dan Teknologi Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) Jurnal Mantik Technologia: Jurnal Ilmiah G-Tech : Jurnal Teknologi Terapan Jurnal Sistem Komputer dan Informatika (JSON) Journal of Computer Networks, Architecture and High Performance Computing IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Sistem Pendukung Keputusan dengan Aplikasi International Conference on Sciences Development and Technology Innovative: Journal Of Social Science Research Jurnal Pengabdian Masyarakat (JAPAMAS)
Armansyah Armansyah
Computer Science Study Program, Universitas Islam Negeri Sumatera Utara
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Journal : IJISTECH

 1 
Application of the Steepest Ascent Hill Climbing (SAHC) Algorithm for Mobile-based Shortest Route Search Mhd Furqan; A Armansyah; Razzaq H. Nur Wijaya
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i1.88

Abstract

This study aims at early to determine the application of algorithms Steepest Ascent Hill Climbing (SAHC) for finding the shortest route-based Mobile in Humbang Hasundutan. Based on the results of the application of algorithms Steepest Ascent Hill Climbing (Sahc) To search based Shortest These Mobile in Humbang Hasundutan. So it can be concluded that the search for the shortest route based on Mobile can be solved using the Steepest Ascent Hill Climbing algorithm. In the manual calculation process using the Steepest Ascent Hill Climbing algorithm at the node from Humbang, there is a heuristic value of 0.0896184808, at the node from which the three intersections are originated there is a heuristic value of 0.1693780561, at the node from which there is a heuristic value of 0.367474152, at the node from which the waterfall falls sibabo has a heuristic value of 0.3823982675. Then the result of the shortest route from Sipinsur Geosite (F) to Simolap Waterfall (B) is F èD èB (Sipinsur GeoSite - intersection 4 - Simolap Waterfall) the total distance is 51 km and the time is 1 hour 34 minutes. So that the test results of the Steepest Ascent Hill Climbing algorithm process with the system in accordance with the manual calculation process of the Steepest Ascent Hill Climbing algorithm.
Classification of Tomato Leaf Based on Gabor Filter Extraction And Support Vector Machine Algorithm Mhd. Furqan; A Armansyah; Lely Sahrani
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v4i2.173

Abstract

Tomato production in Indonesia is reduced because tomato leaves are stricken with disease. The main disease that often attacks tomato leaves is rotten leaves and bacterial patches or commonly called dry patches. Identification of tomato leaf disease is still done manually with human vision. The shortcomings of the method manually required a technology that is able to extract the texture of tomato leaf disease. One of them is by the process of extracting the texture of leaves with gabor filters, namely by using frequency and orientation parameters. Based on the results of the experiment obtained that the input parameter gabor filter with orientation of 90o with a combination of frequency 4 produces a fairly clear contrast. The process of extracting the texture of the leaf aims to get the magnitude value of the tomato leaf that will be used as inputs for the classification process. The svm algorithm grouped data that had the same characteristics into one class. Training data used 42 images and test data used 30 images, with the success rate of 83.33%.
Implementation of Naïve Bayes Method in Classification of Nutritional Status of Toddlers at Pasar Ujungbatu Sosa Public Health Center Heri Santoso; A Armansyah; Fitri Handayani Siregar
IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i3.254

Abstract

Health is a very important field in human life, there have been many studies or studies conducted in the health sector, for example nutrition problems. Nutrients are needed by humans to live healthy in order to be able to move and carry out daily activities. For the fulfillment of nutrition in toddlers is usually influenced by social and economic factors of the family. Toddlers' bodies need balanced nutrition to be able to grow and develop properly. The results of the SSGI in 2021 the stunting rate nationally decreased by 1.6% per year from 27.7% in 2019 to 24.4% in 2021. The data used in this study was 1114 toddler data. From the results of training and data testing consisting of 5 attributes, namely gender, age, weight, height, and upper arm circumference and there are 4 classes for class division, namely over nutrition, good nutrition, less nutrition and poor nutrition. And it is known that the accuracy by using 10 data samples gets an accuracy value of 80%. Thus, the system built using the Naive Bayes method is considered successful in classifying the nutritional status of children under five
Co-Authors Abdul Halim Hasugian Adnan Buyung Nasution Aidil Halim Lubis Anggara AlFaridzi Tamba Cici Armayani Devi Apriani Dimas Kurniawan Dita Desliani Fitri Handayani Siregar Guntur Syahputra Heri Santoso Ilka Zufria Ilka Zurfia Lely Sahrani Lisma Autia Masthura, Masthura Maulana Habib Mhd Furqan Moch Iswan Perangin-angin Muhammad Dedi Irawan Muhammad Ihsan Nugraha Muhammad Ikhsan Muhammad Ikhsan Muhammad Siddik Hasibuan Nur Adillah Nurhasanah Nurhasanah Razzaq H. Nur Wijaya Ridho Wahyudi Pulungan Rizki Ananda Siti Khalizah Suhardi Suhardi Toibatur Rahma Matondang Yustria Handika Siregar Yusuf Ramadhan Nasution Yusuf Ramadhan Nasution Zepi Yarti Simpa