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Bakhtiyar Hadi Prakoso
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bahtiyar.hp@gmail.com
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bios@sinergis.org
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Perum. Griya Mangli Indah Blok AF-18 RT. 02 RW. 04, Kel. Mangli, Kec. Kaliwates, Kab. Jember, Jawa Timur, 68136
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INDONESIA
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer
Published by Sinergis Asa Professional
ISSN : -     EISSN : 27220850     DOI : https://doi.org/10.37148/bios
Core Subject : Science,
Computer Science & IT
BIOS: Jurnal Teknologi Informasi dan Rekayasa Komputer (e-ISSN. 2722-0850) is a scientific journal in the field of information technology and computer engineering managed by the Asa Professional Research & Development Center (PUSLITBANG), Jember, East Java, Indonesia. This journal is managed by lecturers and practitioners who come from various university backgrounds in Indonesia, especially Jember, East Java.The BIOS journal is published 2 (two) times a year, namely every March and September. The BIOS journal published in each edition consists of 5-10 articles per volume. The focus and scope of this journal are in the field of Information Technology and others that are still knowledge related, including: Databases System Data Mining / Web Mining Data Warehouse Artificial Intelligence Business Intelligence Cloud & Grid Computing Decision Support System Human-Computer Interaction Mobile Computing & Application E-System Machine Learning Deep Learning Information Retrieval (IR) Computer Network Multimedia System Information System Geographic Information System (GIS) Accounting information system Database Security System & Network Security Cryptography Fuzzy Logic Expert System Image Processing Computer Graphic Computer Vision Semantic Web e-Health and others related to Information Technology and Computer Engineering.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 1 No 2 (2020): September" : 5 Documents clear
Penentuan Cluster Optimum pada Tingkat Pengangguran dan Tingkat Kemiskinan di Jawa Timur Menggunakan Algoritma Fuzzy C-Means Ari Eko Wardoyo; Nigati Tripuspita
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 1 No 2 (2020): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (420.788 KB) | DOI: 10.37148/bios.v1i2.10

Abstract

There are many methods used in resolving data clustering. One of them is the Fuzzy C-Means (FCM) method, which is a reliable method to solve clustering problems in the East Java region. This study aims to determine the optimum cluster in the East Java region which can help the government to identify problems and assist policymaking in regencies/cities in East Java province. The research process uses data from the central statistical agency, namely the unemployment rate and poverty rate from 2010 to 2015. In this study, the Davies Bouldin Index (DBI) is used as a cluster validation test for determining the optimum cluster. Unemployment rate and poverty rate data were analyzed using RStudio. From the calculation of the FCM method and also the determination of the optimum cluster results obtained in 2 clusters with a DBI value of 1.2759, 3 clusters with a DBI value of 0.9937, 4 clusters with a DBI value of 0.8737. The optimum cluster is in 4 clusters with a minimum DBI value.
Perbandingan Metode Double Exponential Smoothing dan Least Square untuk Sistem Prediksi Hasil Produksi Teh Muhammad Bagus Nurkahfi; Victor Wahanggara; Bakhtiyar Hadi Prakoso
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 1 No 2 (2020): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (975.199 KB) | DOI: 10.37148/bios.v1i2.12

Abstract

Tea is one of the mainstay commodities of Indonesian plantation. In order to meet market demand, it is necessary to plan the right production needs, so that the amount of production capacity and market demand is balanced. To meet the needs of the right production requires good planning. The way that can be done is by making predictions. In this study, the prediction of tea production was carried out using the Double Exponential Smothing and Least Square methods. From the test results, it was found that the MAPE value of the Double Exponential Smoothing method, the most optimal α value is α 0.1 with a MAPE value of 18.084% and for the Least Square method the MAPE value is 17.008%.
Perbandingan Algoritma Boyer-Moore dan Brute Force pada Pencarian Kamus Besar Bahasa Indonesia Berbasis Android Candra Irawan; Mudafiq Riyan Pratama
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 1 No 2 (2020): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (896.191 KB) | DOI: 10.37148/bios.v1i2.13

Abstract

String matching is an algorithm for matching a text to another text or also known as a text search. There are several algorithms that can be used for string matching, including the Boyer-Moore algorithm and the Brute Force algorithm. The Boyer-Moore algorithm is a string matching algorithm published by Robert S. Boyer and J. Strother Moore in 1977. This algorithm is considered the most efficient algorithm in general applications. The Boyer-Moore algorithm starts matching characters from the pattern on the right. While the Brute Force algorithm is an algorithm that matches a pattern with all text between 0 and n-m to find the existence of a pattern in the text. These two algorithms have different patterns in the search process. In this article, a comparative analysis of the performance of the Boyer-Moore and Brute Force algorithms is carried out in a case study of the search for the Big Indonesian Dictionary (KBBI) based on Android. The search process is carried out by searching based on words and word descriptions. The results of this study indicate that the criteria for running time, the Brute Force algorithm is faster than the Boyer-Moore algorithm with the total running time of the Brute Force algorithm is 168.3 ms in words, 6994.16 ms in word descriptions, while the Boyer-Moore algorithm for running time reached 304.7 ms on the word, 8654.77 ms on the word description. In the testing criteria based on related keywords, the two algorithms can display the same list of related keywords.
Penerapan Wireless Distribution System (WDS) Mesh Untuk Optimasi Cakupan Area Wi-Fi di UM Jember Achmad Riyadus Sholikhin; Taufiq Timur Warisaji; Triawan Adi Cahyanto
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 1 No 2 (2020): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1236.601 KB) | DOI: 10.37148/bios.v1i2.14

Abstract

One very rapid change in computer networks is the use of Wireless Local Area Network (WLAN) to access systems both locally and the internet. One way to add an Access Point (AP) so as not to change the configuration of the running software is use the Wireless Distribution System Mesh (WDS) network. The use of WDS mesh at Universitas Muhammmadiyah Jember (UM Jember) enables a slightly different wireless configuration to reduce the connection loss in the user due to the wireless network area coverage. One step is use AP devices into one unit to handle the case of a connection break by utilizing a network service that is WDS Mesh. WDS Mesh can cover Wi-Fi areas at UM Jember, and the results of testing and analysis of client devices for APs that have been configured WDS Mesh with parameters Signal Strength, CCQ, Signal to Noise Ratio Ratio, Throughput is Excellent.
Perbandingan Akurasi Metode TOPSIS dan Metode Weight Product untuk Menentukan Siswa Berprestasi Abdul Fatahillah; Mudafiq Riyan Pratama
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 1 No 2 (2020): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1120.327 KB) | DOI: 10.37148/bios.v1i2.31

Abstract

In determining outstanding students (a case study at MTs. Al-Ishlah Jenggawah Jember) there are several criteria to be assessed. The criteria contained in student achievement in MTs. Al-Ishlah includes the average report card, behavior, discipline, neatness and attendance. For the sake of subjective assessment, an appropriate method is needed, namely the Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) and Weight Product (WP). The purpose of this study is to compare the accuracy of TOPSIS and WP, ​​where each assessment in this case is that all students are compared with one another, thus providing an output of priority values ​​that produce a rating value for each student. After comparison and analysis, the accuracy of both methods was obtained, namely the TOPSIS method was 84% ​​while the WP method obtained an accuracy value of 87.5%. This means that in the case study, the determination of outstanding students is carried out at MTs. Al-Ishlah Jenggawah Jember showed that the WP method was better than the TOPSIS method.

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