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All Journal TEKNIK INFORMATIKA Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial J-SAKTI (Jurnal Sains Komputer dan Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Adi Supriyatna
AMIK BSI Karawang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Social Sciences

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METODE EXTREME PROGRAMMING PADA PEMBANGUNAN WEB APLIKASI SELEKSI PESERTA PELATIHAN KERJA Adi Supriyatna
JURNAL TEKNIK INFORMATIKA Vol 11, No 1 (2018): Jurnal Teknik Informatika
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1457.67 KB) | DOI: 10.15408/jti.v11i1.6628

Abstract

ABSTRAK Balai Latihan Kerja secara umum merupakan gedung atau sarana yang digunakan sebagai tempat berlatih dan menambah keterampilan untuk mempersiapkan diri dalam memasuki dunia kerja. Saat ini proses penerimaan dan ujian seleksi peserta pelatihan kerja pada balai latihan kerja masih dilakukan dengan cara konvensional, peserta harus mendatangi lokasi balai latihan kerja untuk melakukan pendaftaran dan mengikuti ujian seleksi, dampaknya hal ini menjadi salah satu hambatan bagi masyarakat yang ingin mengikuti program pelatihan kerja. Selain itu kurangnya penyebaran informasi kepada masyarakat tentang periode penerimaan peserta pelatihan kerja yang dilaksanakan oleh balai latihan kerja. Penelitian ini bertujuan untuk menciptakan sebuah aplikasi berbasis web dengan menggunakan metode Extreme Programming (XP) yang bermanfaat bagi masyarakat untuk memudahkan dalam proses pendaftaran dan pelaksanaan ujian seleksi menjadi peserta pelatihan kerja. Serta diharapkan dapat meminimalkan hambatan yang selama ini terjadi. Dalam pengembangan perangkat lunak terdapat beberapa pendekatan atau metode yang digunakan, dalam penelitian ini metode yang digunakan adalah Extreme Programming (XP) untuk membangun aplikasi seleksi peserta pelatihan kerja. Extreme Programming (XP) merupakan sebuah proses rekayasa perangkat lunak yang cenderung menggunakan pendekatan berorientasi objek dan sasaran dari metode ini adalah tim yang dibentuk dalam skala kecil sampai medium serta metode ini juga sesuai jika tim dihadapkan dengan requirement yang tidak jelas maupun terjadi perubahan-perubahan requirement yang sangat cepat. Hasil penelitian ini berupa aplikasi penyebaran informasi dan ujian seleksi peserta pelatihan berbasis web yang dapat memberikan kemudahan kepada calon peserta untuk mendapatkan informasi terkait balai latihan kerja, melakukan pendaftaran sampai dengan melakukan ujian seleksi.  ABSTRACT Training Center in general is a building or a means used as a place to practice and add skills to prepare yourself in entering the workforce. Currently the process of acceptance and examination of the selection of training participants at the vocational training center is still done in the conventional way, the participants must go to the vocational training center to enroll and take the selection test, the impact of this becomes one of the obstacles for people who want to join the job training program. In addition, the lack of dissemination of information to the public about the period of acceptance of training participants conducted by the vocational training center. This study aims to create a web-based application using Extreme Programming (XP) method that is useful for the community to facilitate the registration process and implementation of the selection test to be a work-training participant. And expected to minimize the barriers that have been happening. In the software development there are several approaches or methods used, in this study the method used is Extreme Programming (XP) to build application selection of training participants. Extreme Programming (XP) is a software engineering process that tends to use object oriented approach and the target of this method is a team formed on a small to medium scale and this method is also appropriate if the team faced with unclear requirements as well as changes in requirement changes which is very fast. The results of this research is the application of information dissemination and selection test of web-based training participants that can give ease to prospective participants to get information related to work training center, registering up to do the selection test. How To Cite : Supriyatna, A. (2018). METODE EXTREME PROGRAMMING PADA PEMBANGUNAN WEB APLIKASI SELEKSI PESERTA PELATIHAN KERJA. Jurnal Teknik Informatika, 11(1), 1-18.  doi 10.15408/jti.v11i1.6628 Permalink/DOI: http://dx.doi.org/10.15408/jti.v11i1.6628   
Komparasi Algoritma Naive bayes dan SVM Untuk Memprediksi Keberhasilan Imunoterapi Pada Penyakit Kutil Adi Supriyatna; Wida Prima Mustika
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 2 (2018): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v2i2.78

Abstract

Warts is a skin health problem that is generally characterized by the appearance of small, rough-textured lumps on the skin surface caused by a virus that is human papilloma virus (HPV). One technique of treatment of wart disease is immunotherapy, this method is a treatment by boosting the immune system to overcome the disease of warts. Naive bayes and Support Vector Machine (SVM) is a method of data mining algorithm used to classify. The aim of this study was to compare the Naive bayes algorithm with Support Vector Machine (SVM) in predicting the success of immunotherapy treatment method in the treatment of wart disease. Tests conducted using the method of Naive bayes and Support Vector Machine (SVM) using the R programming language, then the results are used to do the comparison. The results of this study revealed that the Naive bayes method has superior prediction capability compared to Support Vector Machine (SVM) because Naive bayes can predict all class instances correctly with the accuracy level of 1.
ANALISIS DAN EVALUASI PENERAPAN APLIKASI UJIAN BERBASIS WEB DENGAN METODE PIECES FRAMEWORK Adi Supriyatna
Swabumi Vol 3, No 1 (2015): Volume 3 Nomor 1 Tahun 2015
Publisher : Universitas Bina Sarana Informatika Kota Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/swabumi.v3i1.1004

Abstract

To know the level of success in the implementation of the web based or online we must anevaluation .Evaluation form a reference or benchmarks used associated with the audit - themethod of analysis information system itself , with seen in their performance a system inquantitative and qualitative. The purpose of research is to evaluate the level of success , efficiency,effectiveness and corporate profits in applying examination systems or online web based done inthe campus bsi jatiwaringin .In giving analysis or evaluation of a system, can be done by severalmodels analysis. In this research, will be used model analysis pieces framework. Pieces frameworkitself is an apparatus in the following analysis of information systems that computer-based, whereconsisting of point point important useful to be used as guidelines or reference to analyse thesystem. Briefly, pieces framework containing matter the important issue in system evaluation as:performance, information and data, economics, control and security, efficiency, and the lastservice.The result of this research obtained the average values of the calculation on who show thatthe system test information online have to be acceptable to users and run well.
Komparasi Algoritma Naive bayes dan SVM Untuk Memprediksi Keberhasilan Imunoterapi Pada Penyakit Kutil Adi Supriyatna; Wida Prima Mustika
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 2 (2018): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (776.13 KB) | DOI: 10.30645/j-sakti.v2i2.78

Abstract

Warts is a skin health problem that is generally characterized by the appearance of small, rough-textured lumps on the skin surface caused by a virus that is human papilloma virus (HPV). One technique of treatment of wart disease is immunotherapy, this method is a treatment by boosting the immune system to overcome the disease of warts. Naive bayes and Support Vector Machine (SVM) is a method of data mining algorithm used to classify. The aim of this study was to compare the Naive bayes algorithm with Support Vector Machine (SVM) in predicting the success of immunotherapy treatment method in the treatment of wart disease. Tests conducted using the method of Naive bayes and Support Vector Machine (SVM) using the R programming language, then the results are used to do the comparison. The results of this study revealed that the Naive bayes method has superior prediction capability compared to Support Vector Machine (SVM) because Naive bayes can predict all class instances correctly with the accuracy level of 1.
Co-Authors Wida Prima Mustika