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All Journal JTT (Jurnal Teknologi Terpadu) J-SAKTI (Jurnal Sains Komputer dan Informatika) Akademika Jurnal Teknologi Pendidikan JISA (Jurnal Informatika dan Sains) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Teknologi Informatika dan Komputer Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Ilmiah Wahana Pendidikan J-SAKTI (Jurnal Sains Komputer dan Informatika) Bulletin of Information Technology (BIT) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan SIGMA: Information Technology Journal Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Pengabdian Pelitabangsa Jurnal Lentera Pengabdian JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Pelita Pengabdian SAINTEK
Ahmad Turmudi Zy
UNiversitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Journal : SIGMA: Information Technology Journal

 1 
Sistem Informasi Laundry Pada Wawa Laundry Berbasis Web Ahmad Turmudi zy
Jurnal SIGMA Vol 8 No 4 (2017): Desember 2017
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.182 KB) | DOI: 10.37366/sigma.v8i4.199

Abstract

Abstrak Teknologi hadir untuk memberikan kemudahan-kemudahan terhadap suatu permasalahan yang dihadapi oleh masyarakat. Salah satu kemudahan yang diberikan teknologi ini adalah kemudahan dalam proses penyediaan jasa, yaitu pada sistem Online. Yang sudah sering kita jumpai dalam berbagai bentuk toko Online. Pada penulisan ini, dibuatlah suatu sistem informasi laundry yang memudahkan pemilik laundry dalam melakukan pengecekan administrasi, mengingat banyak nya cabang yang dikelola. Dengan menggunakan sistem informasi berbasis web ini, diharapkan manpu menjadi salah satu solusi untuk membantu perusahaan dalam mengembangkan perusahaan dalam menghadapi persaingan bisnis di saat ini. Kata Kunci : Sistem, Informasi, Teknologi, Laundry.
Analisis Sentimen Terhadap Masyarakat Indonesia Di Masa PPKM Menggunakan Algoritma Naïve Bayes Ahmad Turmudi Zy; Aswan S Sunge; Riani Riani; Edy Widodo
Jurnal SIGMA Vol 13 No 2 (2022): Juni 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Abstract Coronavirus is a group of viruses that can cause disease in animals or humans. Several types of coronavirus are known to cause respiratory tract infections in humans ranging from coughs and colds to more serious ones such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). One of the topics currently being discussed by the public, including on social media Twitter, is the government's policy regarding the Enforcement of Restrictions on Community Activities (PPKM). PPKM is a policy of the Government of Indonesia to deal with COVID-19 that has been made since early 2021. The implementation of PPKM raises pros and cons from the community. Based on the results of the SRMC survey reported through the saifulmunjani.com page, it was stated that nationally, 44% chose to strictly implement PPKM even though on the other hand income decreased, and 40% chose to stop PPKM with an increased risk of COVID-19 transmission. Based on the problems that occurred, it became the basis of this research which aims to find out how the public sentiment towards the implementation of PPKM policies in Indonesia through tweets and comments on the Twitter social media platform using sentiment analysis Keywords: PPKM, Naïve bayes, Covid19
Rancang Bangun Aplikasi Perbandingan Algoritma Knuth-Morris-Pratt Dan Boyer Moore Pada Pencarian Katalog Buku Ahmad Turmudi Zy; Zaky Ali Husaeni
Jurnal SIGMA Vol 12 No 3 (2021): September 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The activities currently carried out in searching for book catalog data are less effective because the method used is still conventional. The string matching algorithm is a solution for making book catalog application search engines to be more accurate and faster when performing data searches. There are several string matching algorithms including the Knuth-Morris-Pratt and Boyer Moore algorithms which are the most effective in performing string matching in the case of book catalogs, for that we need a comparison analysis of the Knuth-Morris-Pratt and Boyer Moore algorithms using the Exponential Comparison Method to determine the algorithm. which are suitable. From the results of the comparisons made, it can be concluded that the Boyer Moore algorithm is faster and more accurate. Keywords: Application, Knuth-Morris-Pratt, Boyer Moore
Analisa Sentimen Tweet Indonesia Menggunakan Fitur Ekstrasi Dan Teknik Cross Validation Terhadap Model Naïve Bayes Ahmad Turmudi Zy
Jurnal SIGMA Vol 11 No 3 (2020): September 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Sentiment analysis is a science in the field of natural language processing studies to analyze data in the form of positive and negative opinions with the aim of getting results in decision making. One of the media in sentiment analysis research is twitter. The main problem in sentiment analysis classification is how to choose the right features and validation in the test. The model used for this research is Naïve Bayes. Naïve Bayes can be combined with feature extraction. In testing the feature extraction of CountVectorizer and TFIDFVectorizer is compared using the Cross Validation technique to improve the Naïve Bayes classification. Value measurement is done by comparing between testing without validation and using validation. Accuracy can be measured using confusion matrix, precision and recall. The results of the study show that using the TF- IDFVectorizer feature extraction is better than the CountVectorizer with the highest accuracy of 85.98% and for the final test the extraction feature with Cross Validation is better than not using Cross Validation with the highest accuracy value of 97.67%. Thus, testing the extraction feature that is best used is the TF-IDFVectorizer and by using the Cross Validation technique it can improve the performance of the Naïve Bayes model in the sentiment analysis of Indonesian-language twitter so that it. Keywords : Sentiment analysis, twitter, Naïve Bayes, feature extraction, Count Vectorizer, TF-IDF Vectorizer, Crosss Validation.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Dengan Metode Ahp Dan Topsis Pada Pt.Brilliant Jaya Inti Ahmad Turmudi ZY; Ary Fahrizal
Jurnal SIGMA Vol 10 No 3 (2019): September 2019
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Sumber daya manusia merupakan bagian terpenting untuk maju dan berkembangnya sebuah perusahaan. Dan sebagai contoh PT. Brilliant jaya inti ini dapat berkembang dengan baik tentunya dipengaruhi oleh kualitas sumber daya manusia yang dalam hal ini adalah karyawan yang bekerja di dalam perusahaan ini. Sebuah perusahaan harus melakukan penilaian kinerja yang telah dilakukan oleh karyawannya dalam jangka waktu tertentu dan tentunya akan ada sebuah reward atau penghargaan atas keberhasilan yang telah dicapai oleh karyawannya. pemilihan karyawan terbaik tersebut masih dilakukan secara manual. Dengan begitu banyaknya kriteria dan alternatif yang harus dipertimbangkan biasanya akan menyulitkan dalam pengambilan keputusan, sehingga perlu waktu yang cukup lama untuk bisa membuat keputusan, dan bahkan kadang dengan kesulitan tersebut akan berdampak keputusan yang dihasilkan cenderung subyektif. Dengan proses perhitungan menggunakan AHP (Analitical Hierarchy Process) Dan TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) dan dibuatkannya sistem pendukung keputusan pemilihan karywan terbaik akan membantu perusahaan dalam memilih karyawan terbaik dengan tepat dan objektif. Kata kunci : Sistem pendukung keputusan, Karyawan terbaik, AHP (Analitical Hierarchy Process) Dan TOPSIS (Technique for Order Performance by Similarity to Ideal Solution)
Co-Authors Adrianna Syariefur Rakhmat Agung Nugroho Ahmad Rivaldi Ananto Tri Sasongko Antika Zahrotul Kamalia Aprilia Nur Sa'adah Ary Fahrizal Aswan S Sunge Aswan S Sunge Aswan S. Sunge Aswan Supriyadi Sunge Daspar Daspar Donny Maulana Edora Edora Edora Edora Edy Widodo Endrik Ermanto Ermanto Fahamsyah, Mohammad Hatta Gatot Tri Pranoto Ikhsan Romli Irfan Afriantoro Irma Nurmaulida* Juan Fakhri Lutfi Adji Ardiansyah M Syaibani Anwar Miftah Wangsadanureja Miftahuljannah Mudakir Muhamad Ekhsan Muhamad Fatchan Muhammad Adipa Muhammad Makmun Effendi Muhtajuddin Danny Najamuddin Dwi Miharja Muhammad Nurhadi Surojudin Purnama Sakhrial Pradini Putri Nurhafenda Harun Qori yumansyah Qori Ray Fathur Rizky Riani Riani Rismawati Rismawati Suriyanti Suriyanti Wiyanto Wiyanto Zaenur Rozikin Zaky Ali Husaeni