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All Journal SemanTIK : Teknik Informasi

Muh. Ihsan Sarita

Halu Oleo University

Author-ID : 5365084

Computer Science & IT Control & Systems Engineering

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IMPLEMENTASI METODE FUZZY C-MEANS PADA SISTEM PENDUKUNG KEPUTUSAN PENENTUAN MUSTAHIK DI BAZNAS KENDARI Restin Welinda; Muh. Ihsan Sarita; Anita Puspita Dewi
semanTIK Vol 2, No 1 (2016): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

The process of determining the feasibility of recipients or Mustahik at Badan Amil Zakat Nasional Kota Kendari is still done manually. This is likely to cause a relatively high complexity and become ineffective both in time and the target of recipients. In this study, Fuzzy C-Means method was applied. Fuzzy C-Means is a data clustering technique in determining the truth of each data point within a cluster determined by the degree of membership. In this case the Fuzzy C-Means applied for a solution, each Mustahik candidate having the same data tendency will be included in a single cluster. Clustering is applied to index criteria homes, businesses, and property to determine eligibility of Mustahik. The parameters included in this study is the number of cluster 2, rank / weighting 2, a maximum of 100 iterations, and the smallest error of 0.001. FCM calculation results of the 200 test data obtained 144 data of Mustahik candidate entitled to receive zakat. This suggests that the decision produced by the system using FCM method is equal to the manual determination through deliberation by the Badan Amil Zakat Nasional Kota Kendari. But time spent on this system by FCM method to determine recipients is more efficient and more effective than Kendari Zakat Amil Agency. Keywords— Cluster, Fuzzy C-Means, Mustahik, Decision Support Systems, Zakat.

SISTEM PENDETEKSI JUMLAH MOBIL DALAM INTELLIGENT TRANSPORT SYSTEM (ITS) MENGGUNAKAN METODE VIOLA-JONES Irmaya Citra Harwendhani; Ika Purwanti Ningrum; Muh. Ihsan Sarita
semanTIK Vol 2, No 1 (2016): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

One way to cope with the traffic density is leveraging technology Intelligent Transport System (ITS). ITS is a system implemented to control and manage the traffic of vehicles, vehicle distribution and transport system infrastructure to achieve a more secure and organized. Revolving a traffic light in the ITS is flexible because it depends on the number of vehicles in traffic. To obtain the revolving time efficient traffic light depends on the accuracy of the calculation of the number of vehicles. In this study, the method used is the method of viola-Jones. The number of car detection system is implemented using the Java programming language-based desktop. Results obtained from these systems demonstrate the highest degree of accuracy viola-Jones method in detecting the number of cars on the condition of the samples contained 1 cars which amounted to 92,86%. While the highest error jones viola method in determining the number of cars found on a random sample conditions which amounted to 47,22%.Keywords— ITS, Car Detection, Viola-Jones

IDENTIFIKASI CITRA TANDA TANGAN MENGGUNAKAN LOCAL BINARY PATTERN (LBP) PADA SMARTPHONE BERBASIS ANDROID Ayu Sabrina Syair; Muh. Ihsan Sarita; Ika Purwanti Ningrum
semanTIK Vol 5, No 1 (2019): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Signatures are currently used by the majority of the public to authorize a document or as proof of transaction. The signature is a unique writing style of someone's name or as an identification sign of that person. This application uses the Local Binary Pattern (LBP) method as its feature extraction and Manhattan Distance as recognition. The LBP operator is a texture descriptor that uses a comparison of gray values of neighboring pixels. For training, data retrieval is done by collecting data 10 times from 50 participants with the amount of training data of 500 samples. The test is done 5 times each participant with the test results on average by 80.8% and the highest test by 94%.Keywords—Hand Signature, Local Binary Pattern, Manhattan Distance DOI : 10.5281/zenodo.2650530

SISTEM PENALARAN BERBASIS KASUS UNTUK MENDIAGNOSA KERUSAKAN KOMPUTER Maulana Malik; Muh. Ihsan Sarita; La Ode Hasnuddin S. Sagala
semanTIK Vol 2, No 1 (2016): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v2i1.1671

Case Based Reasoning is a method of reasoning with its main work system using a similarity measure. The basic idea of this system is that any possible problems are the same have the same solutions as well. The purpose of this study is to implement and test how accurate the Bayesian Theorem method for identifying cases of damage to the computer in case based reasoning system.Case based reasoning process consists of four stages namely retrieve, it means search and matching of the case; reuse, it means reuse of information and knowledge of the case; revise, it means revisiting the solution of the cases; and retain, it means saving the experience of new cases in the base case system.The system in this research will be built using Bayesian Theorem, modeling Unified Modeling Language (UML) and PHP programming languages with a MySQL database as a regulator of the system. Keywords— Case Based Reasoning, Bayesian Theorem, Computer Damage

SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PEMBIMBING TUGAS AKHIR MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) Firayati Firayati; Muh. Ihsan Sarita; Statiswaty Statiswaty
semanTIK Vol 2, No 1 (2016): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Nowadays, decision making process in supervisor selection at Information Engineering course still involving manual process by considering the expertise of each lecturer in particular subject. Wherein selecting supervisor, the department works ineffective in supervisor selecting who appropriate with student final project theme. Because of that, decision support system that could assist user in selecting supervisor who appropriate with assigned criteria is needed. This issues can be resolved by applying WP method. The alternative options are employment status, functional position, skills, responsibility, quota and availability. Alternative options with the highest weight will become the recommendation to be selected as a supervisor. Based on the test and evaluation result, we can conclude that this system could assist in selecting the first and the second supervisor for student. Keywords— Supervisor, Decision Support System, Weighted Product

SISTEM PENUNJANG KEPUTUSAN PEMILIHAN HOTEL DI KOTA KENDARI MENGGUNAKAN METODE FUZZY TAHANI BERBASIS WEB Arisandi Arisandi; Muh. Ihsan Sarita; La Ode Hasnuddin S. Sagala
semanTIK Vol 2, No 1 (2016): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

The development potential of tourism so rapidly in Southeast Sulawesi is accompanied by the progress of construction of hotels in the city of Kendari . The number of hotels in Kendari offering a variety of amenities and facilities that make the visitors who want to stay difficult to choose the hotel . To assist in the selection of the hotel that fits the needs of visitors it takes a Decision Support System (DSS ) web-based . The system is built using the method of Fuzzy Tahani .the Selection of Tahani Fuzzy method because this method is simpler and easier to understand, but produce the output that is more dynamic. To support the development of this system , use the programming language PHP (Hypertext Preprocessing) and MySQL database. Keywords— Hotel , DSS , Fuzzy Tahani , PHP , MySQL

Co-Authors Anita Puspita Dewi Arisandi Arisandi Ayu Sabrina Syair Firayati Firayati Ika Purwanti Ningrum Irmaya Citra Harwendhani La Ode Hasnuddin S. Sagala Maulana Malik Restin Welinda Statiswaty

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