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Perekrutan Karyawan Berbasis PSO dengan Menggunakan Metode Algoritma C45 Studi Kasus PT. Mutual Plus Priyono, Priyono; Faisal, Muhammad; Suryadhitia, Rachmat; Suhardjono, Suhardjono
Jurnal Teknik Informatika Vol. 4 No. 2 (2018): JTI Periode Agustus 2018
Publisher : LPPM STMIK ANTAR BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51998/jti.v4i2.263

Abstract

Abstract—In recruiting qualified employees and in accordance with the qualifications required by PT.Mutual Plus company there are 9 categories in the selection of recruitment of employees are the completeness of the File, Age, Marriage Status, Education, Department, Certificate, Experience and Test TPA and Escaped or not prospective employees. The identification of the problem raised is a large measure of accuracy on the Algortima C4.5 method with PSO optimization (Particle Swarm Optimization) to select employee acceptance. Of the 9 predictor variables, the selection of attributes is selected so that the 9 attributes are selected. Experimental results show that the PSO-based C 4.5 (Particle Swarm Optimization) algorithm has an accuracy of 95.52%, AUC of 0.965. Experimental results show that employee acceptance selection at Mutual Plus company using C 4.5 based PSO has high accuracy. Intisari— Dalam merekut karyawan-karyaan yang berkualitas dan sesuai dengan kualifikasi yang di butuhkan perusahaan PT.Mutual Plus terdapat 9 kategori dalam seleksi perekrutan karyawan diantaranya adalah Kelengkapan Berkas, Umur, Status Pernikahan, Pendidikan, Jurusan, Sertifikat, Pengalaman dan Test TPA serta Lolos atau tidaknya calon karyawan. Identifikasi masalah yang diangkat merupakan ukuran besar akurasi pada metode Algortima C4.5 dengan optimasi PSO (Particle Swarm Optimization) untuk menyeleksi penerimaan karyawan. Dari 9 variabel prediktor dilakukan seleksi atribut sehingga menghasikan terpilihnya 9 atribut yang digunakan. Hasil eksperiment menunjukkan bahwa algoritma C 4.5 berbasis PSO (Particle Swarm Optimization) memiliki tingkat akurasi sebesar 95,52% , AUC sebesar 0,965. Hasil eksperimen menunjukkan seleksi penerimaan karyawan pada perusahaan Mutual Plus menggunakan metode algoritma C 4.5 berbasis PSO memiliki akurasi yang tinggi. Kata Kunci— Algoritma C 4.5, Berbasis PSO (Particle Swarm Optimization), Seleksi karyawan
SISTEM PENDUKUNG KEPUTUSAN METODE TOPSIS UNTUK DIAGNOSA PENYAKIT DEMAM BERDARAH Priyono Priyono; Nuzuliarini Nuris
INTI Nusa Mandiri Vol 15 No 1 (2020): INTI Periode Agustus 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v15i1.1378

Abstract

Penelitian dilakukan untuk mengetahui suatu diagnosa penyakit dengan menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Dalam metode TOPSIS ini ditentukan beberapa kriteria yang dilihat dari beberapa gejala yang dialami oleh pasien rumah sakit dengan langkah awal yaitu pemberian bobot kepentingan untuk masing-masing kriteria, lalu pembentukan nominasi matriks berpasangan, Defuzzyfikasi matriks, Normalisasi matriks, Pembototan nilai variabel, Pencarian solusi psitif dan negatif, Pembuatan alternative positif & negative matriks, Pencarian nilai preferensi hingga Penentuan perangkingan dalam menentukan diagnosa suatu penyakit pada rumah sakit, beberapa penyakit tersebut mempunyai gejala yang sangat mirip seperti Penyakit Demam Berdarah, penyakit malaria, Penyakit Typus dan penyakit cikungunyah yang dikatakan sebagai alternatif. Adapun gejala-gejalanya yaitu Demam Tinggi, Penurunan Trombosit, Bintik Merah, Mual & muntah, Sakit Kepala, Batuk & Pilek, Ulu Hati Nyilu, Badan Mengigil, Pegal & Nyeri Otot, Pendarahan, Sakit Tenggorokan dan Hilang Nafsu Makan. Penentuan Keputusan hasil diagnosa tersebut berdasarkan perhitungan pada variabel perbandingan gejala-gejala penyakit yang disebut kriteria dengan beberapa Penyakit (alternatif) yang dilakukan oleh beberapa ahli dibidangnya dengan melakukan pengolahan data oleh data hasil kuisioner yang disebar.
Analisis Review Pengguna Google Meet dan Zoom Cloud Meeting Menggunakan Algoritma Naïve Bayes Muhammad Rezki; Desiana Nur Kholifah; Muhammad Faisal; Priyono Priyono; Rachmat Suryadithia
Jurnal Infortech Vol 2, No 2 (2020): Desember 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v2i2.9286

Abstract

Saat ini seluruh dunia sedang menghadapi wabah penyakit menular yaitu virus Covid 19. Pembatasan sosial atau menjaga jarak adalah serangkaian tindakan pengendalian infeksi nonfarmasi yang dimaksudkan untuk menghentikan atau memperlambat penyebaran penyakit menular tersebut. Sehingga seluruh masyarakat diharapkan untuk beraktifitas dirumah untuk menghentikan penyebaran virus Covid 19. Agar tetap bisa menjalankan aktifitas dirumah diperlukan virtual meet untuk berkomunikasi sesama team atau rekan kerja. Saat ini virtual meet telah banyak dipakai. Penilaian Sebuah Aplikasi di Playstore memiliki tujuan untuk memberikan ulasan tentang kelebihan dan kekurangan dalam penggunaan aplikasi khsusunya virtual video conference. Untuk mengetahui sejauh mana analisa review pengguna aplikasi Google Meet dan Zoom Cloud Meeting berdasarkan pemberian jumlah bintang dengan menggunakan teknik klasifikasi yaitu perbandingan Algoritma Naïve Bayes dengan feature optimasi SMOTE Upsampling dan PSO. Penggunaan feature selection synthetic minority over-sampling technique (SMOTE) dan feature optimasi Particle swarm optimization (PSO) pada algoritma klasifikasi terbukti sangat berpengaruh untuk meningkatkan akurasi pada algoritma Naïve Bayes untuk pengolahan data review pengguna Google Meet dan Zoom Cloud Meeting pada google play berdasarkan perolehan skor bintang. Hasil pengujian mendapatkan hasil akurasi sebesar 85,76 % yang ditambah dengan Feature Smote dan PSO untuk review Zoom Cloud Meeting, sedangkan untuk pengguna Google Meet yang ditambah dengan Feature Smote dan PSO­ hanya mampu mendapat tingkat akurasi sebesar 79,33 %.
New Technology in Automated Vehicles to Improve Passenger Safety Suhardjono Suhardjono; Priyono Priyono; Agus Sri Iswiyanti; Dudi Parulian; Arman Syah Putra; Nurul Aisyah
International Journal of Educational Research & Social Sciences Vol. 2 No. 3 (2021): June 2021
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v2i3.96

Abstract

The background of this research is by prioritizing how to improve the safety of passengers on a vehicle with increased security so that if an accident occurs, the passenger does not suffer any injury. If necessary, it is not scratched on the body. With this research, it is necessary to increase security in order to provide maximum protection. for passengers and motorists. The method used in this study using the literature review method based on research that has been done previously so that it can be the basis for this research. With the literature review, the research will be able to find new research problems so that this research can be the latest research in order to serve as the basis for future research. In this study, we will find out how to protect passengers on a vehicle with ways that passengers can do so that the security side can be improved. Therefore, the use of security in a vehicle is very important so that it can help drivers and passengers in driving. In this study will produce a proposed system that can be used as a basis as a guide in order to protect passengers and motorists and can improve the safety side of driving.
Collaborative Filtering Based Recommender Systems For Marketplace Applications Witriana Endah Pangesti; Rachmat Suryadithia; Priyono; Muhammad Faisal; Bilal Abdul Wahid; Arman Syah Putra
International Journal of Educational Research & Social Sciences Vol. 2 No. 5 (2021): October 2021
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v2i5.184

Abstract

The background of this research is to give the best advice to users who still don't know about other marketplaces that they can still use, to find the items they are looking for and at a cheaper price or with promos they can get. The method used in this research is to use a trial based on data obtained from users who use the media marketplace to purchase an item, with this, the real data can be known so that the best advice for an unknown marketplace can be given. In how many countries, a recommender system has been implemented in a marketplace that will provide advice using advertising media on social media, by using social media, users can find out about the marketplace, and are given continuous advice to install the application so that they can make transactions with purchase of a product in the marketplace. The purpose of this research is to give the best advice so that all people, especially marketplace users, can find out which other marketplaces are in order to know and be able to shop at other marketplaces, by doing price comparisons and being able to get promo prices and knowing based on habits, and ratings from the marketplace.
APLIKASI SISTEM INFORMASI RAPORT ONLINE (STUDI KASUS: MI DARUL MUTA’ALLIMIEN LEUWILIANG BOGOR) Fizri Ayu Wijasty; Lila Dini Utami; Rahmat Tri Yunandar; Priyono Priyono
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 5 No 1 (2019): JITK Issue August 2019
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1183.054 KB) | DOI: 10.33480/jitk.v5i1.685

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Raport Online merupakan konsep manipulasi data nilai siswa yang dilakukan melalui jaringan media elektronik. Dengan tujuan mendukung proses pemberian nilai terhadap siswa oleh guru dan memberikan kemudahan terhadap guru dalam proses perhitungan nilai melalui sistem yang dibuat. Manfaat pembuatan sistem aplikasi ini adalah sebagai bahan evaluasi terhadap sistem yang sedang berjalan dan menghasilkan suatu informasi yang cepat dan akurat dalam membantu dan memudahkan proses memberikan nilai pada setiap kegiatan ulangan harian hingga ujian akhir semester. Metode penelitian yang digunakan adalah dengan berwawancara langsung dengan salah satu guru atau wali kelas di MI Darul Muta’allimien, observasi terhadap kegiatan penginputan nilai MI Darul Muta’allimien beserta studi pustaka. Sedangkan metode yang digunakan dalam pembuatan Sistem Informasi Raport Online Kurikulum 2013 Berbasis Web adalah Waterfall, yang dimulai dengan perencanaan yang tentu saja harus matang, dilanjutkan dengan proses Analisa yang cukup panjang, lalu merancang sistem yang akan dibuat jika telah selesai maka sistem ini siap untuk di implementasikan, setelah implementasi tentu saja ada pemeliharaan sistem yang berkala. Karena sistem akan terus berkembang. Sistem ini akan digunakan oleh para guru di jenjang MI/SD sederajat yang telah menerapkan kurikulum 2013. Tentu saja aplikasi sitem informasi raport online ini akan sangat memudahkan dalam pengolahan nilai pada kurikulum 2013 yang dimana beberapa guru mengeluh perihal pengolahan nilainya.
Investigations Using The Whatsapp Application By Analyzing Evidence of Crime In Conversation Data P Priyono; Bilal Abdul Wahid; P Priatno; Risdiandri Iskandar; Ali Akbar; Arman Syah Putra
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (775.803 KB) | DOI: 10.30645/ijistech.v6i1.223

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The background of this research is to find evidence in an application called WhatsApp by analyzing data in the form of conversations or chats from 2 people who are suspected of having their conversations contain suspicious words, therefore by analyzing their conversations, errors or violations will be known conducted. The method used in this study uses the latest waterfall concept, which has been modified in order to help find answers to the problems raised. The problem raised in this study is to find evidence in the conversations carried out in the WhatsApp application. The purpose of this research is to find strong evidence so that it can be used as evidence in court and save suspicious conversation data.
Application of Menu Ordering Information System Design at Kawas Truck Café with WEB Design Rahdian Kusuma Atmaja; Hari Sugiarto; Priyono Priyono; Sugiono Sugiono; Ade Setiawan
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kawas Truck Cafe is a business entity engaged in the culinary field. The cafe does not yet have an information system that can assist in various processes in it, such as the ordering process, and sales transactions and reports. This can cause problems such as human error in the ordering process. The use of stationery and paper when recording menu orders results in overlapping orders, unordered delivery of orders. The report process at this cafe still uses conventional methods in recording and storing order transaction data. So to overcome these problems, the author makes a computerized system for ordering menus at the Kawas Truck cafe to be more efficient. In making this web, the author uses programming languages ??such as PHP, HTML, javascript, css, jquery with several features such as login, menu data, customer data, user data, sales transactions, orders, and reports that can be accessed by company owners and cashiers. By creating a computerized system, the author can help the ordering process, sales to reporting at Kawas Truck Cafe, to achieve effective business activities and time efficiency in company activities.
Rancang Bangun Sistem Informasi Untuk Pencatatan Akuntansi Untuk Pembelian ATK Berbasis WEB Dengan Laravel 7.0 Shinta Sundari Utami; Elin Panca Saputra; Henny Armaniah; Priyono Priyono; Indra Thaka
Akasia: Artikel Ilmiah Sistem Informasi Akuntansi Vol 3 No 2 (2023): Artikel Ilmiah Sistem Informasi Akuntansi (AKASIA) - Oktober 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/akasia.v3i2.2426

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Abstract - Information technology is a tool used to transform data into meaningful information and facilitate a more productive, efficient and simple workforce. How is the development of this accounting information system in terms of information quality, internal control and daily accounting operations? What is still recorded in the books are errors in accounting calculations and stationery purchases. Using the Microsoft Excel program to help with assignments often causes various problems. Additionally, Laravel seeks to improve software quality by lowering development, startup, and maintenance costs, as well as user experience in using applications. to offer expressive, simple, and efficient syntax. The following are several approaches that the author uses, namely direct observation (Observation). This technique is used to search for and collect information that will be used in processing accounting data. Next, a literature review where the author collects the data and information needed to complete the assignment. Lastly, through consulting academic sources and books. Conclusion The conclusions of this research include making data processing easier from a system that was originally manual but has now switched to being more automatic, increasing accuracy and reducing data collection errors, fast procedures, and more effective business transactions.