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Journal : SIGMA: Information Technology Journal

IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN UNTUK MEMPREDIKSI KARYAWAN TELADAN MENGGUNAKAN METODE NAIVE BAYES Wiyanto Wiyanto; Fazri Muharam Anwar
Jurnal SIGMA Vol 10 No 1 (2019): Maret 2019
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.365 KB) | DOI: 10.37366/sigma.v10i1.480

Abstract

Every company always makes an assessment of its employees, but in this company it is still subjective in assessing it so that research is carried out aimed at predicting exemplary employees by implementing a decision support system to obtain objective predictions of exemplary employees with the Naive Bayes method using the absent, skill, kaizen assessment parameters teamwork and this parameter to get the criteria for exemplary employee status, good employees and poor employees. In this study using 100 training data and a test data was made with the criteria for absent value, skill, kaizen, teamwork by producing a prediction of the status of exemplary employees because it has the highest value with a value of 0.013 while for good employees 0 and poor employees is 0. Support system the decision to predict this exemplary employee using the Naive Bayes algorithm method can make it easier to obtain predictions of exemplary employees. Keywords: Decision Support System, Naive Bayes Method, Web Based
Penerapan Algoritma Naive Bayes Untuk Pemilihan Keluarga Yang Membutuhkan Bantuan Dalam Program Keluarga Harapan (Pkh) (Studi Kasus Di Desa Karang Asih, Cikarang Utara) Wiyanto Wiyanto; Saana Atmaja
Jurnal SIGMA Vol 9 No 1 (2018): Volume 9 Nomor 1 September 2018
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Abstraksi Program keluarga harapan adalah sebuah program pemerintah yg bertujuan untuk meringankan beban keluarga miskin atau hampir miskin dalam hal pangan, dalam implementasinya penerima bantuan ini masih belum optimal dikarenakan masih banyak penerima program keluarga harapan yang belum tepat sasaran. Desa Karang Asih yang terletak di Cikarang Utara, menjadi obyek penelitian ini, dengan penduduk Desa Karang Asih yang terletak di Cikarang Utara dapat dijadikan model, dengan penduduk sebanyak 60.543 jiwa, dimana hampir 9% atau 5.448 jiwa pada kondisi dibawah harapan hidup atau RTSM (Rumah Tangga Sangat Tidak Mampu) yang membutuhkan ulurantangan pemerintah agar anak anak usia sekolah tidak putus sekolah. Data mining dapat dipakai untuk mempermudah mengatasi masalah yang belum optimal maka metode klasifikasi mampu menemukan model yang membedakan konsep atau kelas data dengan tujuan untuk dapat memperkirakan kelas-kelas dari suatu objek yang labelnya tidak diketahui oleh sebab itu, Algoritma Naive Bayes dapat memprediksi peluang dimasa depan berdasarkan pengalaman dimasa sebelumnya. Penelitian ini mengambil data sebanyak 70 data dan sebuah data uji dengan menggunakan 6 kriteria yaitu : Status PKH, Jumlah tanggungan, Kepala rumah tangga, Kondisi rumah, Jumlah penghasilan, dan Status pemilik rumah. Dari hasil pengujian sebanyak 70 sampel menunjukan 3,5% tidak layak menerima program keluarga harapan Kata kunci: Program Keluarga Harapan, Algoritma Naive Bayes
Implementasi Sistem Pendukung Keputusan Untuk Pemilihan Objek Wisata Di Majalengka Menggunakan Metode Naive Bayes Wiyanto Wiyanto; Aida Ratnasari
Jurnal SIGMA Vol 9 No 4 (2019): Juni 2019
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

This study aims to assist tourists in choosing tourist objects, one of the famous tourist objects in Indonesia is in Majalengka. There are 3 famous objects in Majalengka, namely Paragliding, Tirta Indah, and Muara Jaya Waterfall. To determine the right choice, three criteria are used, namely: distance from the city center, visitor rates, and visitor convenience facilities. To determine the right choice, the approach is to use a decision support system through the Naïve Bayes Algorithm method which is one of the applications of the Bayes theorem in classification, Naive Bayes is based on a simplifying assumption that attribute values ​​are conditional independent of each other if an output value is given. To make it easier for visitors to make the right choice, a simple application was made using the PHP and My SQL programming languages ​​from the results of data processing using the Naïve Bayes method. The results of the classification of distance, rates and visitor convenience, the underarm typed one of the tourist attractions in Majalengka, namely Tirta Indah tourism, "far" city center distance, "cheap" tourist rates, and "comfortable" facilities with a decision result of 0.024321 (Quite satisfied). Keywords : Decision Support System, Tourism Objects, Naive Bayes, PHP programming language and My SQL as Database
Penerapan Algoritma C4.5 Untuk Klasifikasi Kepuasan Pelanggan Jasa Vidio Shotting Garasi Potret Purbalingga Wiyanto Wiyanto; Anggit Prasetyo Utomo
Jurnal SIGMA Vol 9 No 4 (2019): Juni 2019
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

At present there are many companies that set up businesses in the field of video shooting, one of which is the Purbalingga Portrait Garage. The increasingly fierce competition in today's business world requires employers to be quick and responsive in making decisions so that established companies can survive amid such situations and conditions. One method that can be used for this is the data mining algorithm C4.5 method. The advantages of using this decision tree classification model are that the results of the tree are simple and easy to understand. The learning and classification process is simple and fast. In general, the decision tree algorithm classification model has a high degree of accuracy. From the calculation of customer satisfaction data training data with C4.5 algorithm using training data with confusion matrix has a value that is accuracy of 90.00%, precision 86.98%, and recall 96.98% and ROC curve optimistic with excellent classification accuracy of 0.980. This shows that the results of this prediction can be used for new quality test data. From the analysis of training data obtained a decision tree that has 20 rule models that can be used as a reference in making satisfaction in portrait garage customers. Keywords : Satisfaction, Service, C4.5 Algorithm, Data mining, Decision Tree
Penerapan Algoritma C4.5 Untuk Klasifikasi Kepuasan Pelanggan Jasa Vidio Shotting Garasi Potret Purbalingga Wiyanto Wiyanto; Anggit Prasetyo Utomo
Jurnal SIGMA Vol 8 No 2 (2018): Volume 8 Nomor 2 Maret 2018
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Abstrak Saat ini sudah banyak perusahaan yang merintis usaha di bidang pembuatan video salah satunya adalah Purbalingga Portrait Garage. Persaingan yang semakin ketat dalam dunia bisnis saat ini menuntut pengusaha untuk cepat dan tanggap dalam mengambil keputusan sehingga perusahaan yang sudah mapan dapat bertahan di tengah situasi dan kondisi yang demikian. Salah satu metode yang dapat digunakan untuk ini adalah metode algoritma data mining C4.5. Keuntungan menggunakan model klasifikasi pohon keputusan ini adalah hasil pohonnya sederhana dan mudah dipahami. Proses pembelajaran dan klasifikasi sederhana dan cepat. Secara umum model klasifikasi algoritma pohon keputusan memiliki tingkat akurasi yang tinggi. Dari hasil perhitungan data latih data kepuasan pelanggan dengan algoritma C4.5 menggunakan data latih dengan matriks konfusi memiliki nilai akurasi sebesar 90,00%, presisi 86,98%, dan recall 96,98% serta kurva KOP optimis dengan akurasi klasifikasi sangat baik sebesar 0,980. Hal ini menunjukkan bahwa hasil prediksi ini dapat digunakan untuk data uji kualitas baru. Dari hasil analisis data pelatihan diperoleh pohon keputusan yang memiliki 20 model rule yang dapat dijadikan acuan dalam melakukan pemenuhan kepuasan pada pelanggan bengkel portrait. Kata Kunci: Kepuasan, Layanan, Algoritma C4.5, Data mining, Pohon Keputusan
Perbandingan Algoritma Analytic Hierarchy Process Dan Algoritma Simple Additive Weighting Untuk Pemilihan Penerima Beasiswa Kepada Pelajar Yang Berprestasi Wiyanto Wiyanto; Irpan Aprian
Jurnal SIGMA Vol 9 No 1 (2018): Volume 9 Nomor 1 September 2018
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Abstraksi Disetiap lembaga pendidikan tentunya banyak sekali beasiswa yang ditunjukan kepada para pelajar yang berprestasi, Didalam melakukan sebuah seleksi beasiswa pastinya akan mengalami kesulitan apabila tidak menggunakan suatu metode tertentu dalam penelitian ini penulis membandingan antara algoritma Analytic Hierarchy Process (AHP) dan Simple Additive Weighting (SAW) sehingga dapat di ketahui algoritma mana yang dapat memberikan akurasi yang paling tinggi, Dari penerapan kedua metode yang diterapkan yaitu metode AHP dan SAW dapat diketahui bahwa metode SAW lebih baik kinerjanya dibandingkan dengan metode AHP dalam penilaian pemberian beasiswa kepada pelajar yang berprestasi dimana nilai akhir mendekati nilai 1, dan setiap nilai pelajar akan berpengaruh terhadap penilaian, oleh karena itu penulis menyarankan agar melkukan penilaian pemberian beasiswa dengan menggunakan metode SAW. Kata kunci : beasiswa, Analytic Hierarchy Process, Simple Additive Weighting
Implementasi E-Voting Pilkades Ciantra Berbasis Web Dengan Menggunakan Sensor Sidik Jari Wiyanto Wiyanto
Jurnal SIGMA Vol 12 No 4 (2021): Desember 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Indonesia is a democratic country in which elections for President, Governor, Regent, and Village Heads are still conducted conventionally, where there are still many shortcomings, including the problem of sending ballot logistics, old calculations and inaccurate population data with voters. who do not get their voting rights so that it is less effective in its implementation. To overcome this, especially in the selection of the Village Head, in this study a web-based electronic voting system (e-Voting) was made using a fingerprint sensor that aims to collect voters' data so that voters get their voting rights and their voting rights cannot be used by other citizens. The method used in developing this application is the waterfall method which includes the stages of needs analysis, system design, coding and testing, testing and maintenance. The result of this research is an up to date e-Voting system for counting votes, so as to minimize fraud occurring at the time of village head election. So the conclusion obtained from this study that web-based e-Voting using a fingerprint sensor can produce a quick election winner decision because it does not require tiered and accurate vote counting because citizens who choose according to the data registered. Keywords: e-Voting, fingerprint, Waterfall, PHP, Website
Sistem Informasi Salon Kecantikan Dan Perawatan Studi Kasus Pada Salon Griya Poetri Wiyanto Wiyanto
Jurnal SIGMA Vol 12 No 2 (2021): Juni 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Griya Poetri, office located at Permata No. 20 Jl. Azalia Raya Green Valley Lippo Cikarang, a business in the beauty salon and treatment for men and women which include cutting, blow, straight iron, curly iron, bun, smoothing, perming, rebonding, coloring, highlights, bleacing, cream bath, makeup, pedicure, manicure, hand massage, foot reflexi etc. Griya Poetri require administrative system and the right information, quickly, accurately and efficiently, which can adopt administrative difficulties in terms of covering existing transactions and income statement in accordance with the wishes of the owner of a beauty salon and treatment Griya Poetri. So the system created can be used in accordance with the needs of the organization. Keyword: Information Systems, Administration