Article Per Year (5 Year)
p-Index From 2021 - 2026
9.002
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah KOMPUTASI Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Journal of Information System, Applied, Management, Accounting and Research Jurnal Inti Talafa : Jurnal Teknik Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Indonesian Journal of Business Intelligence (IJUBI) bit-Tech Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JISA (Jurnal Informatika dan Sains) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Ilmiah Intech : Information Technology Journal of UMUS Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Ilmiah Wahana Pendidikan Bulletin of Information Technology (BIT) International Journal Software Engineering and Computer Science (IJSECS) Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Informatika Teknologi dan Sains (Jinteks) Malcom: Indonesian Journal of Machine Learning and Computer Science Formosa Journal of Computer and Information Science Jurnal Lentera Pengabdian International Journal of Applied Research and Sustainable Sciences (IJARSS) International Journal of Sustainable Applied Sciences (IJSAS) VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Pelita Pengabdian JPM MOCCI : Jurnal Pengabdian Masyarakat Ekonomi, Sosial Sains dan Sosial Humaniora, Koperasi, dan Kewirausahaan SAINTEK International Journal of Integrated Science and Technology Jurnal Indonesia : Manajemen Informatika dan Komunikasi Welfare: Jurnal Pengabdian Masyarakat
Wahyu Hadikristanto
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

Published : 83 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : bulletin of information technology bit

 1 
Implementasi Algoritma Metode Naive Bayes dan Support Vector Machine Tentang Pembobolan dan Kebocoran Data di Twitter Ahmad Zy; Wahyu Hadikristanto
Bulletin of Information Technology (BIT) Vol 4 No 1: Maret 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i1.493

Abstract

Abstrak− Data breaches dan data leakage merupakan masalah yang semakin meningkat dalam dunia teknologi saat ini. Ada banyak diskusi yang terjadi di media sosial, terutama di Twitter, mengenai masalah ini. Dalam paper ini, kami menggunakan analisis sentimen untuk mengevaluasi persepsi publik terhadap masalah keamanan data dan kebocoran data di Twitter. Kami menggunakan algoritma Support Vector Machine (SVM) dan Naïve Bayes untuk melakukan klasifikasi sentimen pada teks yang diambil dari Twitter. Hasil dari penelitian ini akan memberikan gambaran yang lebih baik mengenai persepsi publik terhadap masalah keamanan data dan kebocoran data dan dapat digunakan oleh pihak yang berkepentingan untuk meningkatkan keamanan data Selanjutnya, paper ini akan mendeskripsikan metodologi yang digunakan dalam pengumpulan data dari Twitter, proses pre-processing data, dan implementasi algoritma SVM serta Naïve Bayes untuk melakukan klasifikasi sentimen. Kemudian, hasil dari analisis sentimen akan dianalisis dan dibahas secara mendalam, serta dibandingkan dengan hasil analisis sentimen yang dilakukan dengan metode lain. Pada paper ini didapatkan hasil perhitungan algorithma NaïveBayes dengan precision 97%, dan perhitungan dari algorithma SVM didapatkan hasil Precision sebesar 80%.Selain itu, paper ini juga akan mencakup kesimpulan dan saran untuk penelitian selanjutnya dalam bidang yang sama. Kata Kunci: Data breaches, Data leakage, Teknologi, Media Sosial, Twitter, Analisis sentimen
Optimasi Algoritma K- Nearest Neighbor Berbasis Particle Swarm Optimization Untuk Meningkatkan Kebutuhan Barang Taofik Safrudin; Gatot Tri Pranoto; Wahyu Hadikristanto
Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i3.724

Abstract

Abstract− The application of the K-Nearest Neighbor algorithm can be implemented where the results also show a new insight, namely predicting the level of need. With a ratio of 90%:10%, where there are 50 data objects tested to predict the level of needs in 2 groups, namely low needs or high needs. The results of the model scenario show that there are 2 objects in the Low needs group and 1 object in the High needs group. In evaluating this model, it was obtained from 10 fold Cross Validation that the Accuracy value was 82%, then the Precision value was 87.50%, and the Recall value was 80%. By measuring the performance of the model with Cross Validation, the resulting accuracy has a standard value or standard deviation, which aims to see the distance between the average accuracy and the accuracy of each experiment. While the Test Results using PSO In the evaluation of this model, it is obtained from 10 fold Cross Validation the Accuracy value is 100%, then the Precision value is 100%, and the Recall value is 100%, the test results have increased significantly
Pengelompokan Untuk Penjualan Obat Dengan Menggunakan Algoritma K-Means Holwati; Edi Widodo; Wahyu Hadikristanto
Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i3.848

Abstract

Drug grouping is an arrangement that adjusts to the flow of placement or drug layout is more suitable for standard processes. Utilization of existing data through the clustering method approach can be applied to analyze in grouping drug data on data availability and inventory in warehouses so as to provide knowledge and information. The clustering method is processed using the K-Means algorithm where the results also show a new knowledge, namely the grouping of drug data based on 2 clusters. Cluster 1 is a high need category with availability of 71 out of 100 availability categories based on the amount of drug data tested, then cluster 2 is a drug category with moderate or low availability, namely 29 out of 100 availability categories based on the number of drug data tested. Tests using Rapid Miner tools can also produce similar insights, namely each cluster has cluster group members according to manual calculations such as Cluster_0 in Rapid Miner has 72 cluster members representing the Medium cluster, Cluster_1 has 72 cluster group members as high cluster representations, and Cluster_2 has 3 cluster members corresponding to low representation.
Co-Authors ., Sapardi A. Reza Baehaqa Jamroni Jamroni Abdul Halim Anshor Abdul Hasyim Abimanyu, Aldo Anggito Achmad Firmansyah Putra Adrianna Syariefur Rakhmat Adriansyah, Putri Nabila Adinda Agung Nugroho Ahmad Gunawan Ahmad Zy Ahmad, Asyari Alfarizi, Muhammad Farhan Ali Nurdiansyah Ananto Tri Sasongko Andika, Sophian Andri Firmansyah Anggara, Bastian Anisa Anisa Anisa Rahmawati Anshor , Abdul Halim Ansor, Abdul Halim Ariandi, Sheva Rizky Arvita Emarilis Intani Aswan S Sunge Atma, Dodit Ardi Atthoriq, Syaifullah Ayu Fitriyani Badruzzaman, Aceng Dahyoung Yenuargo Dichi Setiawan Diki Febriani Dodit Ardiatma Doni, Muhamad Edi Junianto Edi Widodo Edora Edora Edora Edora, Edora Edy Widodo Eko Budiarto Ermanto Fadlurrohman, Muhammad Shiddiq Fajar Arief Rachman fatchan, fatchan Fatchan, Muhammad Fauzi Ahmad Muda Fitri Rezeki Gatot Tri Pranoto Hanif, Sa’ad Khairudin Herdyanto, Febro Herol, Herol Holwati Ikmal Riyan Firmansyah Imam Nasai2 Indradewa, Rhian Intan Sari Rahayu Irfan Afriantoro Irfan Afriantoro Ismasari Ismasari Karsito, Karsito Keswanto Kurniadi, Nanang Tedi Laki, Abraham Leo Contantinus Meze Listanto, Firgiawan Maulida Ramadhan Mico Giovanni Dermawan Miharja, Muhammad Najamuddin Dwi Muhamad Fatchan Muhammad Fatchan Muhammad Makmun Effendi Muhammad Suprayogi2 Naufal Muyassar Nawangsih, Ismasari Nita Paramita Njai Njai Nur Azizah Nurhadi Surojudin Nurul Ariffaeni Islami Oktavianto, Rainal Zulian Permana , Indra Pradini, Purnama Sakhrial Prasetyo Prasetyo Pratama, Galang Rintang Widya Prayoga, Dimas Purdianto Purdianto Purwanto Purwanto Purwanto Putri N.A, Anindya Rahmawati, Shinta Melliana Rahmawati Rasmiati Nur Aeni Retno Purwani Setyaningrum Riska Puspa Anggraeni Putri Risky Bambang Sutrisna romanuddin, ahmad Rosyati Adelia S Suprapto Sandi Salvan N N Sanudin Sanudin Sanudin Satria Permana, Muhammad Safri Setiawan, Dani Yuda Dwi Siska Wulandari, Siska Suderajat, Agung Sufajar, Sufajar Sufajar, Suprapto Suhardian Suhardian Suherman Suherman Suherman Sunaryati , Titin Sunita Dasman Sya syah Apriliyani Syach, Ridwan Taofik Safrudin Taufik Hidayat Tiani Ayu Lestari Tiara Deswara Pungkas Tri Ngudi Wiyatno Turmudi Zy, Ahmad Vidya Anis Fitri Yahya, Adiba Yahya, Adibah Yoga Religia Yusup, Diana