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All Journal KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Infortech Infotek : Jurnal Informatika dan Teknologi Jurnal Responsif : Riset Sains dan Informatika IMTechno: Journal of Industrial Management and Technology
Hamdun Sulaiman
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Library & Information Science

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APLIKASI DESAIN KARTU NAMA BERBASIS ANDROID PADA CV TIRTA ANUGRAH Mustofa Mustofa; Sari Susanti; Hamdun Sulaiman
Jurnal RESPONSIF: Riset Sains & Informatika Vol 4 No 1 (2022): Jurnal Responsif : Riset Sains dan Informatika
Publisher : LPPM Universitas BSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51977/jti.v4i1.709

Abstract

Kartu nama, kartu yang berisi informasi seseorang atau perusahaan yang lumrahnya terdapat informasi nama, telepon, alamat rumah serta kantor. Kartu tersebut digunakan sebagai media promosi atau pemasaran yang ampuh. CV Tirta Anugrah adalah perusahaan yang bergerak dalam bidang digital printing, kehadirannya sangat dibutuhkan untuk keperluan promosi perusahaan, seperti pencetakan kartu nama. Ketika konsumen ingin mencetak kartu nama tapi belum mempunyai desain dan saat akan menyampaikan desain yang diinginkannya kesulitan karena tidak ada media komunikasi antara konsumen dan customer service. Untuk itu dibutuhkan sebuah aplikasi yang dapat menjembatani antara konsumen dan customer service. Pembuatan aplikasi desain kartu nama berbasis android dapat menjadi solusi untuk masalah tersebut. Aplikasi ini dapat digunakan untuk semua pihak tidak seperti aplikasi desain lainnya yg membutuhkan skill mumpuni. Metode yang digunakan dalam pengembangan sistem ini menggunakan metode waterfall. Pengembangan dimulai dari tahap analisis, perancangan, pengkodean, dan pengujian. Aplikasi ini beroperasi pada OS Android minimal versi 7. Dari hasil penelitian yang dilakukan dapat disimpulkan aplikasi desain kartu nama berbasis android dapat menjadi solusi yang tepat dalam menangani masalah yang ada pada CV Tirta Anugrah.
KLASIFIKASI NAÏVE BAYES UNTUK MENDIAGNOSIS PENYAKIT PNEUMONIA PADA ANAK BALITA (STUDI KASUS : UPTD PUSKESMAS SUKARAJA SUKABUMI) Ami Rahmawati; Dede Wintana; Satia Suhada; Gunawan Gunawan; Hamdun Sulaiman
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 6, No 3 (2019)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v6i3.202

Abstract

Pneumonia is a contagious infectious disease that is the leading cause of death in toddlers in the world. In developed countries, there are 4 million cases each year, totaling 156 million cases of pneumonia every year worldwide. Pneumonia is caused by, among others, bacteria, viruses, fungi, exposure to chemicals or physical damage from the lungs, as well as indirect effects from other diseases. Pneumonia is characterized by symptoms of coughing and / or difficulty breathing such as rapid breathing, and pulling the lower chest wall inward. Therefore, early detection of pneumonia in children under five is very necessary in order to be able to prevent and cope with the disease into a serious stage as the purpose of this study is to diagnose pneumonia in toddlers using data mining classification, the naïve Bayes algorithm. Of the 118 cases consisting of 113 cases of patients diagnosed with pneumonia and 5 cases of patients who were not diagnosed with pneumonia, an accuracy value of 98% was obtained, so it can be interpreted that the naïve bayes algorithm has a good correlation with the attributes contained in the dataset.Keywords: Naïve Bayes Algorithm, Pneumonia.Pneumonia adalah penyakit infeksi menular yang merupakan penyebab utama kematian pada balita di dunia. Di negara maju terdapat 4 juta kasus setiap tahun hingga  total di seluruh dunia ada 156 juta kasus pneumonia anak balita  setiap tahun. Pneumonia antara lain disebabkan oleh bakteri, virus, jamur, pajanan bahan kimia atau kerusakan fisik dari paru-paru, maupun pengaruh tidak langsung dari penyakit lain. Pneumonia ditandai dengan gejala batuk dan atau kesulitan bernapas seperti napas cepat, dan tarikan dinding dada bagian bawah ke dalam. Oleh Karena itu, deteksi dini penyakit pneumonia pada anak balita sangat diperlukan agar dapat mencegah dan menanggulangi penyakit tersebut kedalam tahap yang serius seperti tujuan penelitian ini yaitu untuk mendiagnosis penyakit pneumonia pada anak balita menggunakan klasifikasi data mining yaitu algoritma naïve bayes. Dari 118 kasus yang terdiri dari 113 kasus pasien yang terdiagnosis pneumonia dan 5 kasus pasien yang tidak terdiagnosis pneumonia maka diperoleh nilai akurasi sebesar 98%, sehingga dapat diartikan bahwa algoritma naïve bayes memiliki korelasi yang baik dengan atribut yang terdapat pada dataset.Keywords: Naïve Bayes Algorithm, Pneumonia. 
Perancangan Sistem Informasi Rental Alat Gunung Adventure Cloting Di Mangun Jaya Hamdun Sulaiman
Jurnal Infortech Vol 3, No 1 (2021): Juni 2021
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v3i1.10539

Abstract

proses transaksi penyewaan alat gunung di adventure clothing masih sangat manual yaitu dengan menggunakan media kertas  dalam arti mengolah data barang penyewaan, pengembalian, dan pembayaran masih di lakukan dengan mencatat di kertas penyewaan.Untuk itu penulis membuat Tugas Akhir mengenai sistem informasi penyewaan yang saat masih manual.Dengan ini diharapkan dapat membantu sistem penyewaan alat gunung menjadi lebih mudah. Metode perangkat lunak yang digunakan adalah Waterfall yang terbagi menjadi lima yaitu (Analisa kebutuhan perangkat lunak, Design, Pembuatan kode program, Pengujian dan Pendukung atau Pemeliharaan).dan menggambarkan perancangan database menggunakan ERD dan LRS.teknik pengumpulan data yang digunakan yaitu metode observarsi,wawancara dan studi pustaka. Dengan mengimplementasikan menggunakan prototype menggunakan NETBEANS sehingga membantu proses penyewaan agar menjadi efektif dan efisien.
Perancangan Sistem Informasi Penggajian Pada Cv Juata Jaya Teknik Bekasi Hamdun Sulaiman; Sinta Rukiastiandari; Mira Retaniama
IMTechno: Journal of Industrial Management and Technology Vol. 3 No. 1 (2022): Januari 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/imtechno.v3i1.908

Abstract

Along with the development of the times, human needs for technology are increasing along with the development of information technology that is increasingly rapid. The desire of humans to do things easily and quickly. To improve company performance, it can use information technology, especially computers, companies can manage information quickly and can be superior to other competitors. CV Juata Jaya Teknik is one of the companies engaged in contracting, this company offers contractor services with services that are fast, effective, and flexible, always trying to understand and serve wholeheartedly by realizing customer expectations for security, facilities, effectiveness and efficiency. Changes from time to time make developments in the field of technology increasingly diverse. Starting from the transportation sector, daily needs to the systems that exist in the company. One of them is the employee payroll system, in payroll some calculations are needed that refer to the SOP of the company. So that the system built can be adjusted to the needs and SOP of the company itself. With the employee payroll system application, it can simplify the data processing process quickly, accurately and efficiently so that it can avoid data delays and disharmony
Deteksi Spam Email dengan Metode Naive Bayes dan Particle Swarm Optimization (PSO) Muhamad Abdul Ghani; Hamdun Sulaiman
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 1 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i1.7049

Abstract

Internet-based technology has become a primary need. Based on the survey results from the Central Statistics Agency in collaboration with APJII, email sending and receiving activities have outperformed social media positions by reaching 95.75%. Very intense use of email can have both positive and negative effects. Because apart from being a communication tool, in reality not everyone uses email well and there are even so many misuses of email that have the potential to harm others. This misused email is commonly known as spam or junkmail (junk email) which contains advertisements, scams and even viruses. In this study, data processing from gmail emails with text mining was carried out and then tested with several data mining classification methods including the Naïve Bayes Algorithm, SVM, Random Forest and combined with Partical Swarm Optimization in predicting spam emails with the aim that the selected algorithm is the most accurate. From the test results by measuring the performance of the four algorithms using Confusion Matrix and ROC, it is known that the Naïve Bayes algorithm with Partical Swarm Optimization (PSO) has the highest accuracy value, namely 81.40% and AUC 0.78
Implementasi Machine Learning Dengan Metode Text Mining Pada Twitter Hamdun Sulaiman; Muhamad Ryansyah; Kudiantoro Widianto; Sidik Sidik; Andria Nugraha
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 1 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i1.23734

Abstract

Currently PT. Telkom Indonesia (Indihome), uses the role of social media as a form of concern for its customers to handle complaints. Tweets from indihome customers on social media twitter are handled by the customer service division of Indihome. The manual of the categorization process carried out by the customer service division of Indihome on every narration of the "complain" complaint tweet that  goes  to  @indihome  twitter,  makes  the  process  considered  inefficient.  The purpose of this research is to provide solutions related to the problem of categorizing complaint tweets and to develop tools that can extract the narration of "complain" tweets in Indonesian. The research method used is comparative. On the other hand, gataframework and rapidminer tools are also used in this research to assist in preprocessing and cleaning of datasets to help create corpus and sentiment analysis. The total dataset after cleansing and preprocessing is 1,510. Based on the method proposed in this study on the Support Vector Machine classification algorithm, the highest  category  was  found  to  have  82.42%  accuracy,  75.33%  precision,  and 98.75% recall with an AUC of 0.826
Co-Authors Ami Rahmawati Andria Nugraha Dede Wintana Gunawan Gunawan Kudiantoro Widianto, Kudiantoro Mira Retaniama Muhamad Abdul Ghani Muhamad Ryansyah Mustofa Mustofa Sari Susanti Satia Suhada, Satia Sidik Sidik Sinta Rukiastiandari