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SPIRIT
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Yadika Bangil
ISSN : 20853092     EISSN : 2721057X     DOI : 10.53567
Core Subject : Science,
Computer Science & IT
Spirit : STMIK Yadika Journal of Computing and Cybernetic System diterbitkan oleh Sekolah Tinggi Manajemen Informatika dan Komputer didukung oleh Lembaga Pusat Penelitian dan Pengabdian kepada Masyarakat (LPPM) STMIK Yadika Bangil. Redaksi mengundang para profesional dari dunia usaha, pendidikan dan peneliti untuk menulis mengenai perkembangan ilmu di bidang Teknik dan Manajemen Informatika.
Arjuna Subject : -
Articles 190 Documents
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PENERAPAN METODE CERTAINTY FACTOR UNTUK MENDIAGNOSA DAN PENCEGAHAN PENYAKIT 1) CACINGAN PADA ANAK BALITA Nurul fuad
SPIRIT Vol 8, No 1 (2016): Jurnal SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.25 KB) | DOI: 10.53567/spirit.v8i1.15

Abstract

ABSTRAK : Salah satu penyakit yang saat ini banyak menyerang anak adalah penyakit cacingan. Faktor yang mempengaruhi adanya penyakit cacingan adalah salah satunya faktor kebersihan lingkungan. Perkembangan teknologi saat ini sangatlah berkembang pesat. Kecerdasan buatan atau biasa disebut Artificial Intelegence (AI) merupakan sebuah teknik agar komputer mampu untuk mengelolah suatu pengetahuan. Sistem pakar mengkombinasikan  suatu kaidahkaidah dalam penarikan kesimpulan dengan  basis pengetahuan tertentu yang diberikan oleh satu atau  lebih  pakar  dalam  bidang  tertentu. Metode certainty factor adalah metode untuk memecahkan dan menarik suatu kesimpulan untuk mengetahui nilai kepastian suatu pengetahuan.Penggabungan kepercayaan dan ketidakpercayaan dalam bilangan yang tunggal memiliki dua kegunaan, yaitu pertama factor kepastian digunakan untuk tingkat hipotesa di dalam urutan kepentingan. Dan pada tugas akhir ini penulis untuk mencoba membuat suatu aplikasi sistem pakar yang dapat memudahkan dan membantu untuk mendiagnosa suatu gejala penyakit cacingan pada anak dengan metode Certainty Factor.Kata kunci : Metode Certainty Factor, Sistem Pakar, Kecerdasan Buatan (AI) 
PENERAPAN DATA MINING DENGAN MENGGUNAKAN ALGORITMA C4.5 UNTUK MENGKLASIFIKASIKAN PEREKRUTAN KARYAWAN DI SMK NEGERI 1 NGULING Endang widia Astuti
SPIRIT Vol 8, No 1 (2016): Jurnal SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.936 KB) | DOI: 10.53567/spirit.v8i1.16

Abstract

ABSTRACT : In this study, the authors sought to mine the data an Educational Institution to determine the classification of the recruitment of employees at the school. Existing data were analyzed using a decision tree approach (decision tree) ie the algorithm C4.5. With this algorithm can know the data of candidates which are grouped into classes that qualify prospective employees and data which are grouped into classes do not qualify. The pattern then can be used to determine which job candidates who meet the criteria to be included in the agency, so that the principal can take a decision to accept or reject the prospective employee.Keyword: algorithm C4.5, the classification of employee recruitment, Data Mining 
RANCANG BANGUN SYSTEM APLIKASI INSPECTION BEFORE SHIPPING (IBS) UNTUK PROSES EXPORT IMPORT PADA DEPARTEMENT QUALITY CONTROL (QC) di PT. KINGJIM INDONESIA Aalima Taufik; M. Noval Riswandha, M. Kom
SPIRIT Vol 8, No 1 (2016): SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1150.338 KB) | DOI: 10.53567/spirit.v8i1.17

Abstract

Abstract: PT . KINGJIM INDONESIA is a company holder / folder thatal ready produce a goodway .This is inaccor dance withthelabor standards set by the Supervisory Board Company ( BPP ) which is where the  final result of the production is controlled by the Quality Control ( QC ) .Quality Control  (QC) conduct check sandreporting on production result spriorto export import process, this activity is called Inspection Before Shipping (IBS) Presentation of IBS report is still done manually using MSExcel In a way that has beendone often have difficulties in obtaining the data and report it. Because the data is not di documentary well and systematis. There fore, it should be re recordingKeyword:IBS proccess 
SISTEM INFORMASI VISUALISASI PEMETAAN LOKASI USAHA KECIL MENENGAH DI KECAMATAN BANGIL BERBASIS WEB Achmad Efendi; Teguh Pradana
SPIRIT Vol 8, No 1 (2016): SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (600.296 KB) | DOI: 10.53567/spirit.v8i1.18

Abstract

 Abstract : Currently SMEs in Indonesia per year has a number of very rapid growth with employment reached more than 90% of the total workforce in Indonesia is dominated by young people and women. SMEs in Indonesia are able to donate progress of national economic growth with exports. Small and Medium Enterprises SMEs is an abbreviated term referring to a type of small business that has a net worth of Rp 200 million, excluding land and buildings. And a stand-alone business.This application is the introduction of innovation in SMEs in the urban area Bangil digitally through a website. Will be on show on the short profile, various products from each - each SME that has been recorded.Keywords: ukm, php, mysql, visualization
PERANCANGAN WEBSITE TUGAS FOTOGRAFI MENGGUNAKAN METODE PROMETHEE SEBAGAI PENENTUAN NILAI DARI MATA PELAJARAN KOMPOSISI FOTO DIGITAL POLA TEAM TEACHING Hedi Ruswanto
SPIRIT Vol 8, No 1 (2016): SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (624.906 KB) | DOI: 10.53567/spirit.v8i1.19

Abstract

ABSTRAK: Sulitnya menentukan nilai yang obyektif suatu karya foto oleh seorang guru adalah salah satu kendala bagi guru mata pelajaran komposisi digital menentukan peringkat hasil karya foto grafi. Berawal dari masalah tersebut timbul sebuah ide untuk merancang sebuah website tugas fotografi dengan menggunakan metode promethee sebagai penentuan penilaiannyanya. metode penentuan urutan atau prioritas dalam MCDM ( Multi Criterion Decision Making), membandingkan alternatifyang satu dengan alternatif lainnya. Perbandingan dilakukan pada setiap kriteria. Dengan ada website ini diharapkan pecinta fotografi masih bisa memantau bahkan mengikuti dalam kondisi apapun hanya dengan bermodalkan internet. Siswa juga bisa ikut memantau proses perhitungan nilai sampai munculnya seorang penilaiannya. Sistem menggunakan metode Promethee ini juga dimaksudkan untuk tugas yang kebanyakan hanya menggunakan jumlah suara siswa atau pilihan guru, sehingga dengan adanya sistem ini penilaian dalam foto akan terlihat jelas serta urutan penilaiannya yang muncul terlihat adil karena dilengkapi dengan total nilai dari masing-masing nilai fiturnya.Keyword : Promethee, website, photography 
SISTEM IDENTIFIKASI VIRUS DAN PENYAKIT UDANG VANAME DENGAN METODE FORWARD CHAINING Nur Nafi’iyah
SPIRIT Vol 8, No 1 (2016): Jurnal SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (292.154 KB) | DOI: 10.53567/spirit.v8i1.20

Abstract

Abstrak: Dalam bidang perikanan sering kali terdapat masalah-masalah yang mungkin tidak dapat diselesaikan dan sulit untuk mencari sebuah solusi. Hal ini dapat dibuktikan dengan munculnya berbagai penyakit di sebagian besar kawasan pengembangan tambak udang vaname. Untuk mengidentifikasi virus dan penyakit tersebut, peneliti akan membangun sebuah sistem yang dapat membantu para petani tambak untuk mengidentifikasikan virus dan penyakit udang vaname secara cepat dan tepat. Sehingga dapat meminimalkan dampak yang ditimbulkan. Sistem ini dikembangkan dengan menggunakan bahasa pemrogaman PHP dan database MySQL. Sedangkan metode inferensi yang digunakan adalah forward chaining di mana pelacakan didasarkan atas data atau fakta kemudian menuju pada konklusi berupa kesimpulan jenis virus atau penyakit yang menyerang udang vaname.Kata Kunci: Sistem Identifikasi, Virus, Penyakit, Udang Vaname, Forward Chaining 
PEROTASI OTOMATIS PADA SISTEM PEMERIKSA LEMBAR JAWABAN Yusron rijal; Nur Cholis
SPIRIT Vol 7, No 1 (2015): Jurnal SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.865 KB) | DOI: 10.53567/spirit.v7i1.21

Abstract

Proses pemeriksaan lembar jawaban secara otomatis saat ini diperlukan seiring  meningkatnya jumlah lembar jawaban yang diperiksa. Terdapat beberapa penelitian tentang sistem pemeriksa lembar jawabanmenggunakan algoritma pengolahan citra dengan scanner sebagai perangkat pembentuk citra masukan.  Dalam penelitian ini sistem memeriksa lembar jawaban menggunakan perotasi otomatis untuk merotasi citra masukan yang terdeteksi miring. Sistem mendeteksi kemiringan memanfaatkan acuan yang berada di pojok lembar jawaban kemudian menghitung nilai gradien dari garis yang terbentuk untuk memperoleh derajat kemiringan. Dari 10 data pengujian citra lembar jawaban dengan variasi warna cetakan lembar jawaban maupun variasi warna tinta tulis pada lembar jawaban, menghasilkan tingkat keberhasilan ekstraksi informasi dari data citra lembar jawaban sebesar 96%.Keywords: gradien garis lurus, operasi morfologi - opening, mean filter,  dan chain code  
PENGGUNAAN DSS AHP, SAW DAN SMART UNTUK MENENTUKAN PRIORITAS PEMBANGUNAN DI KOTA MALANG Deddy kusbianto; Purwoko Aji
SPIRIT Vol 7, No 1 (2015): SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (562.914 KB) | DOI: 10.53567/spirit.v7i1.22

Abstract

Abstract: Economic growth has an important role in poverty reduction and job creation. During the five-year period of last economic growth on Malang City has increased, but when compared with Another City in East JavaMalang City economic growth not as a top grade. Edison added that he had been driving around Malang City. He considered if the potential in this City is big enough to use the community investing. Unfortunately, up to now,people are still not aware of the area with their potentials. In Malang, in conjunction with the issuance of Presidential Instruction No. 3 Year 2003 on National policies and strategies for the development of e-Government, has started the implementation of e-Government development through network building program "Cyber City" as the first step in the provision of telematics infrastructure is implemented in phases in annually starting fiscal year 2003. the level of the economy on average better than the other areas that immediately support the market mechanism in Malang City. New Malang culture today, shows significant progress because of its ability to adapt and adopt the material updates as other nations in the world (many high schools in poor cities now), a source of inspiration to compete fairly for the sake of increased revenueper capita Malang later in life.  And the variables that affect the increase in per capita income for the city of Malang is to have consecutive priorityas follows: the level of technology used, the social system and the attitude of the community, the number and quality of labor, capital goods available, and a wealth of resources nature and the land.Keywords: Income per capita, economic growth, Malang City
KLASIFIKASI BERBASIS GRAVITASI DATA DAN PROBABILITAS POSTERIOR Muhamad Arief Hidayat; Arif Djunaidy
SPIRIT Vol 7, No 1 (2015): SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (755.016 KB) | DOI: 10.53567/spirit.v7i1.23

Abstract

The classification method based on data gravitation (DGC) is one of the new classification techniques that uses data  gravitation as the criteria of the classification. In the case of DGC, an object is classified on the basis of the class that creates the largest gravitation in that object. However, the DGC method may cause inaccurate result when the training data being used suffer from the class imbalanced problem. This may be caused by the existence of the training data containing a class having excessively big mass that will in turn tend to classify an uknown object as a member of that class due to the high degree of the data gravitation produced, and vice versa. In this research, a modification to the DGC method is performed by constructing a classificaion method that is based on both the data gravitation and posterior probability (DGCPP). In DGCPP, the mass concept defined in the DGC method as the prior probability is replaced by the posterior probability. By using this modification, data gravitation calculation process is expected to produce more accurate results in compared to those produced by the DGC method. In addtion, by improving the data gravitation calculation, it is expected that the DGCPP method willproduce more accurate classification results in compared to those produced by the DGC method for both normal dataset as well as dataset having class imbalanced problems. A thorough tests for evaluating the classification accuracy are performed using a ten-fold cross-validation method on several datasets containing both normal andimbalanced-class datasets. The results showed that DGCPP method produced positive average of accuracy differences in compared to those produced by the DGC method. For the tests using the entire normal datasets showed that the average of accuracy differences are statistically significant with a 95% confidence level. In addition, results of the tests using the four imbalanced-class datasets also showed that the average accuracy differences are statistically significant with a 95% confidence level. Finally, results of the tests for evaluating the computing times required by the classification program showed that the additional computing time needed by DGCPP method to perform the classification process is insignificant and less than the human response time, in compared to that needed by DGC method for running all datasets being used.  Keywords—data gravitation-based classification, class imbalanced problem,posterior probability 
PENERAPAN ALGORITMA C4.5 PADA SISTEM INFORMASI KLINIK MATA FITUR REGISTRASI PASIEN Anang Andrianto, Zakiyah Qurrotul Aini, M. Arief Hidayat
SPIRIT Vol 7, No 1 (2015): SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1265.613 KB) | DOI: 10.53567/spirit.v7i1.25

Abstract

Abstract: Eye Clinic located at bangkalan is a clinic tasked with providing eye healt services to the public. One form of service at the eye clinic is the examination of the patient. To performs the examination, patients are required to wait in line according the queue acquired during the registration. At the eye clinic needed a patient registration system that  can predict the patient examination time so that the patient was not long time to wait the queue in place. This research is to design and build awebbased system of patients registration using C4.5 algorithm to predict The generated software has been tested can predict the patient examination time so that patients can wait the queue at home. Rule is generated by an algorithm C4.5 accuracy value of 65.8% and 34.2%error rate so that the algorithm can be used in patient registration feature.Keywords: C4.5algorithm, the decision tree, Eye Clinic, Registration Information System  

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