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RANCANG BANGUN SISTEM INFORMASI BATAM DIRECTORY MENGGUNAKAN METODE BACKWARD CHAINING BERBASIS MOBILE hamsir, Hamsir; Nurcahyo, Gunadi W; Defit, Sarjon
Elektron : Jurnal Ilmiah Vol 4 No 2 (2012): Elektron Jurnal Ilmiah
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1004.268 KB) | DOI: 10.30630/eji.4.2.30

Abstract

This article is designed for an information system in the form of expert system applications to present information on Batam Directory. The purpose of this system is to help provide information about the city of Batam as a whole to the residents of Batam city in particular and thelocal and foreign tourists as well as prospective investors in general. The system presents information in the form of public service to the residents of Batam city government and other newcomers as well as products and services are made ​​and offered by the business and government. The analysis was done by determining the first goal, then do these arching to obtain the desired information. The design system uses backward chaining inference method to the implementation ofthe system using My-SQL database systems and programming languages​​ of PHP and JQuery. The system is based on mobile, so it can be accessed using a mobile device.
IMPLEMENTASI MOVING AVERAGE FILTER PADA MIKROKONTROLER SEBAGAI PEREDAM NOISE SENSOR PIEZO ELEKTRIK UNTUK MENDETEKSI GELOMBANG SEISMIK (GEMPA BUMI) Zulharbi, Zulharbi; Firdaus, Firdaus; Antonisfia, Yul; Defit, Sarjon
Prosiding Semnastek PROSIDING SEMNASTEK 2014
Publisher : Universitas Muhammadiyah Jakarta

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Abstract

Getaran  akibat  gempa  bumi    akan  mengakibatkan  adanya  frekuensi  gelombang  seismik  denganfrekuensi  rendah (0Hz - 20Hz),  untuk  mendeteksi  keberadaan  frekuensi  gelombang  seismiktersebut  dapat  menggunakan  sensor  piezo  elektrik.  Piezo  elektrik  adalah  sebuah  sensor  seismikyang  mempunyai   getaran gempa  beramplitudo rendah  dan sangat mudah terkontaminasi noisesehingga  dibutuhkan  filter  untuk  meredam  sinyal  noise  tersebut.  Moving  Average  (MA)  filteradalah  suatu  metode  yang  sederhana  dan  berguna  untuk  menapis  derau  acak  yang  terdapat  padaderau asli. MA filter bekerja dengan cara meratakan sejumlah titik tertentu dari isyarat masukanuntuk  menghasilkan  tiap  titik  dari  isyarat  luaran. Gelombang  seismic    (getaran buatan) padapenelitian ini adalah dengan memberikan amplitudo sensor piezo PVDF antara  3mm, 5mm, 7mm,9mm dan 12mm pada frekuensi 2 Hz (konstan). Sensor piezo mendeteksi kekuatan getaran buatandengan  menggunakan  Moving  Average  Filter  yang  menghasilkan    nilai SNR  (signal  to  noiseratio)  lebih  kecil  dibandingkan  tidak  menggunakan  MAF  Nilai  PGA  (peak  groundacceleration)  dalam  satuan  grafitasi akan  tinggi pada  saat  sinyal  amplitude  getaran  yangdiberikan  juga  tinggi  (PGA  = 0,01G  pada  saat  amplitude  getaran  3mm  dan  1,43G  pada  saatamplitude getaran 12 mm).
SISTEM PAKAR PENENTUAN BAKAT ANAK DENGAN MENGGUNAKAN METODE FORWARD CHAINING Salisah, Febi Nur; Lidya, Leony; Defit, Sarjon
Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Vol 1, No 1 (2015): Februari
Publisher : Department of Information System of UIN SUSKA Riau

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Abstract

Saat ini masih banyak orang tua yang belum mengetahui bakat pada anak mereka. Sedikitnya jumlah pakar untuk berkonsultasi merupakan salah satu penyebab hal ini. Penelitian ini menggunakan sistem pakar untuk mengatasi permasalahan tersebut. Sistem pakar akan memindahkan kemampuan pakar tersebut ke dalam komputer. Bakat-bakat yang digunakan dalam penelitian ini adalah bakat anak menurut standar USOE America. Untuk mesin inferensi penelitian ini menggunakan forward chaining. Anak-anak yang diidentifikasi bakatnya adalah anak TK usia 4-6 tahun.  Hasil analisa menunjukan bahwa sistem pakar ini membutuh 27 indikator, 83 variabel dan 33 rule. Berdasarkan hasil percobaan, sistem pakar ini berhasil mengidentifkasi bakat anak.
Identifikaasi Tingkat Kerusakan Peralatan Laboratorium Komputer Menggunakan Metode Rough Set Juliansa, Hengki; Defit, Sarjon; Sumijan, Sumijan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.204 KB) | DOI: 10.29207/resti.v2i1.274

Abstract

Computer laboratory is a means to support college pratikum. This equipment should always be in a ready-made state or suiTabel for use, whether computer or other means. In case of damage, it should be promptly resolved. To further accelerate the handling of damage, it is necessary a method to identify it. The Rought set method is a solution for this identification by means of several stages: Infomation System; Decision System; Equivalence Class; Descernibilty matrix and Descernibilty matrix of module D; Reduction; Generate Rules. The results of this study from 5 equipment in the computer laboratory STMIK Bina Nusantara Jaya Lubuklinggau after performing the steps of settlement by rough set method found 8 rules to get a new decision is whether the equipment is still worthy of use, repaired or replaced, then this method is very suiTabel applied in identifying the extent of damage.
Pengembangan Sistem Keamanan Jaringan Komputer Melalui Perumusan Aturan (Rule) Snort untuk Mencegah Serangan Synflood Sahrun, Nori; Roestam, Rusdianto; Defit, Sarjon
SATIN - Sains dan Teknologi Informasi Vol 1, No 2 (2015)
Publisher : STMIK Amik Riau

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Abstract

Rule  snort  merupakan  database  yang  berisi  polapola  serangan  signature  jenis  serangan  yang  disusun sesuai dengan perintah-perintah snort. Rule snort ini, harus di update secara rutin supaya ketika ada sesuatu teknik  serangan  yang  baru  maka  serangan  tersebut dapat  terdeteksi,  dan  program  dalam  penelitian  ini yang  akan  mengupdate  rule  snort  tersebut  dalam mencegah serangan SYNflood. Dalam penulisan rule snort terdapat aturan-aturan yang harus di ikuti yaitu pertama  rule  snort  harus  ditulis  dalam  satu  baris  ( single line), dan yang  kedua snort terbagi menjadi dua bagian yaitu rule header dan rule option. Rule header berisi  tentang  rule  action,  protocol,  source  dan destination IP address,netmask,  source dan destination port.  Rule  option  berisi  alert  message  dan  berbagai dan  berbagai  informasi  dimana  seharusnya  paket tersebut  diletakkan.  Dalam  pengembangan  keamanan jaringan sangat penting untuk di rumuskan  seranganserangan  yang  akan  mengakibatkan  system  down dapat diatasi oleh rule terbaru
Analisis Rekam Medis untuk Menentukan Pola Kelompok Penyakit Menggunakan Algoritma C4.5 Rafiska, Rian; Defit, Sarjon; Nurcahyo, Gunadi Widi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (440.523 KB) | DOI: 10.29207/resti.v2i1.275

Abstract

The Medical Record contains records and documents of patient identity, examination results, treatment, actions and services provided to the patient. Medical records are very important for patient care because with complete data can provide information in determining diagnostic and clinical decisions. The completeness of the medical record determines the quality of the services provided. Regarding the pattern of the tendency of disease suffered by a group of people still not excavated to be used as a reference when doing panyuluhan or prevention of disease. Finding a common pattern of disease groups in the community based on the International Classification of Diseases (ICD) -X. In this study used the classification method with algorithm C4.5 with the amount of data as much as 709 sourced from the Medical Record of General Hospital General Hospital (RSUD) Major General H.A Thalib Kerinci. Determination of the next analysis is to apply the grouping into several attributes, namely group of regions, age groups, disease groups and groups of sex. Further data is processed and done by using Rapid Miner software. The results of the calculation is a pattern that can be used to analyze patterns of disease tendency experienced by the community.
Perbandingan Algoritma K-Means Clustering dengan Fuzzy C-Means Dalam Mengukur Tingkat Kepuasan Terhadap Televisi Dakwah Surau TV Malik, Rio Andika; Defit, Sarjon; Yuhandri, Yuhandri
RABIT Vol 3 No 1 (2018): Januari
Publisher : RABIT

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Abstract

Dawah Television Surau TV is a broadcasting media that presents broadcasts around Islam. This media will quickly develop as it presents broadcasting material in meeting the spiritual needs of its viewers. To Increased media development is highly dependent on the satisfaction of the audience in all aspects of broadcast supporting. It is therefore, to measure the level of audience satisfaction as an effort to generate continuous broadcast quality improvement.This research is performing of algorithm clustering comparation with K-Means Clustering modeling and Fuzzy C-Means modeling to classify and mapping the most appropriate dataset so that it can assist analysing or measuring the level of audience satisfaction toward the dawah television Surau TV. Comparison of clustering algorithm performance with K-Means Clustering modeling and Fuzzy C-Means modeling is based on processing speed and trace value of each RMSE parameter of clustering algorithm. The RMSE result of clustering research using algorithm with K-Means Clustering is 2.09879 and by using algorithm with Fuzzy C-Means model is 2.07911. Fuzzy C-Means modeling speed is faster in conducting the clustering process compared with K-Means Clustering modeling. It can be concluded that clustering with Fuzzy C-Means modeling is able to produce more accurate cluster compared to clustering with K-Means Clustering modeling accuracy   Keywords: Clustering; K-Means; Fuzzy C-Means; Satisfaction rate survey; RMSE
Classification of Pineapple Fruit Comosus Merr (Nanas) Quality Using Learning Vector Quantization Method Efendi, Muhamad; Defit, Sarjon; Nurcahyo, Gunadi Widi
Indonesian Journal of Artificial Intelligence and Data Mining Vol 2, No 1 (2019): March 2019
Publisher : UIN Sultan Syarif Kasim Riau

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Abstract

The demands of publics for these fruits Ananas Comosus Merr (Pineapple) became higher years to years because of the fruit has so many virtues for human healthy and the taste of this fruit is sweet and fresh. Therefore the pineapple farmers have to protect the quality and quantity of this plant in order to get high produce. This research help the pineapple farmers to classify to quality of pineapple fruits by using neural network with Learning Vector Quantization method which has 2 classes, such as: First quality (1st) and Second quality (2nd) quality. This method has 2 process they are : training process and testing process. To input data in the training and testing process are using uniformity, characteristic of varieties, the rate of aging, hardness, size, stem, crown, manure, destroyer, spoilage, rotten and the total solid content of the least was taken by observed the crop of pineapple farmers in the Teluk Batil village Sungai Apit district Siak Riau province. Learning Vector Quantization method automatically will classify the pineapple into their class. The result of the testing classification has gotten the accuracy 65.56% for the first (1st) quality and 34.44% for the second (2nd) quality. At the second testing has gotten 66.67% the accuracy for the first (1st) quality and 33.33% for the second (2nd) quality. At the third (3rd) testing has gotten 64.44% the accuracy for first (1st) quality and 35.56% for the second (2nd) quality.
Penerapan Algoritma C4.5 untuk Klasifikasi Data Rekam Medis berdasarkan International Classification Diseases (ICD-10) Fiandra, Yudha Aditya; Defit, Sarjon; Yuhandri, Yuhandri
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 1 No 2 (2017): Agustus 2017
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (579.053 KB) | DOI: 10.29207/resti.v1i2.48

Abstract

Abstract The medical record data is the patient's current record of medical records, the medical record data only being data stacked and not traced to generate useful knowledge for the hospital. This study can process the medical record data to classify the disease that occurs in sleeping sickness based on ICD-10. The method used in this research is C4.5 algorithm method by using attribute of international disease code as attribute of destination label as many as 21 international disease group, that is: A00-B99 up to Z00-Z99. This study yields a decision of the value code, C4.5 code can represent as many as 14 attribute values ​​of disease code objectives and data percentage that read more than 66%. The conclusion of this research is C4.5 algorithm help classify international disease code based on ICD-10 and decision tree making which can give information of any disease that often happened at hospital Keywords: data mining, classification, C4.5, medical records, ICD-10
Identifikasi Anggota dalam Penempatan pada Struktur Organisasi menggunakan Metode Profile Matching Ahmadi, Ahmadi; Defit, Sarjon; Na’am, Jufriadif
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.767 KB) | DOI: 10.29207/resti.v2i2.358

Abstract

The organization of a political party is one organization that must have an organizational structure. Each cadre who sits in the structure must have skills that match his field. The goal is for the organization to grow better. For each cadre to occupy the appropriate structure, identification must be performed. The method used to identify is Profile Matching on the data of each prospective member. Based on the test results obtained cadre with a special aspect of 60% and the general aspect of 40% is the right one. Then this method is suiTabel to be used in identifying cadres who will occupy positions in organizational structure.