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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics JUITA : Jurnal Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi Bulletin of Electrical Engineering and Informatics Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika Jurnal Teknik Komputer AMIK BSI Jurnal Khatulistiwa Informatika Paradigma Ekspektra: Jurnal Bisnis & Manajemen JITK (Jurnal Ilmu Pengetahuan dan Komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer SEINASI-KESI International Journal for Educational and Vocational Studies Jurnal Mantik Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) Jurnal Bumigora Information Technology (BITe) Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Sistem Informasi IAIC Transactions on Sustainable Digital Innovation (ITSDI) Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Journal Software, Hardware and Information Technology International Journal of Basic and Applied Science Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Sains Informatika Terapan (JSIT) INTERNATIONAL JOURNAL OF MECHANICAL COMPUTATIONAL AND MANUFACTURING RESEARCH Paradigma Indonesian Journal Computer Science (ijcs) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi International Journal of Enterprise Modelling Jurnal Teknoinfo

Mochamad Wahyudi

Universitas Bina Sarana Informatika

Author-ID : 2543080

Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Transportation Other

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KLASIFIKASI SISWA SMK BERPOTENSI PUTUS SEKOLAH MENGGUNAKAN ALGORITMA DECISION TREE, SUPPORT VECTOR MACHINE DAN NAIVE BAYES Nurajijah Nurajijah; Dwi Arum Ningtyas; Mochamad Wahyudi
Jurnal Khatulistiwa Informatika Vol 7, No 2 (2019): Periode Desember 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jki.v7i2.6839

Dropping out of school in Vocational High School students is an educational problem that must be found out the causes, so that it does not happen again in the future. The purpose of this study is to classify student data so that it can be predicted that students who have the potential to drop out of school use the Decision Tree, Naive Bayes and Support Vector Machine algorithms. Then determine which algorithm is the best. The results showed that the Support Vector Machine algorithm was the best with an accuracy of 93.77% and Area Under the Curve of 0.990.

KAJIAN PENGGUNAAN PACKET FILTERING FIREWALL MENGGUNAKAN CISCO IP ACCESS CONTROL LIST Imam Sutoyo; Mochamad Wahyudi
Paradigma Vol 11, No 3 (2009): Periode September 2009
Publisher : LPPM Universitas Bina Sarana Informatika

A computer network has become a necessity for any organization implementing a computer-based information system. Hence, keeping the security aspect is important to maintain the network performance so as to provide optimum service to its users and to be up against any attacks especially when it is connected to the Internet. This paper is intended to give input to computer network administrators who implement IP Access Control List (ACL) network security system as firewall. Itdiscusses the strengths and vulnerabilities of packet filtering firewall using Cisco IP Access Control List (ACL). The findings of this study will give computer network administrators better understanding on implementing Packet filtering firewall with Cisco IP ACL and comprehending the potential security holes due to its vulnerabilities.Keywords : Vulnerabilities, Packet Filtering Firewall, Cisco IP Access Control List (ACL), Cracker

Klasifikasi Algoritma Naïve Bayes dan SVM Berbasis PSO Dalam Memprediksi Spam Email Pada Hotline-Sapto Merio Hengki; Mochamad Wahyudi
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Accreditation can be interpreted as an effort by the government to standardize and guarantee the quality of college alumni so that the quality of verification between universities is not too varied and in accordance with work needs. SAPTO or Online Higher Education Accreditation System is a system organized by BAN-PT for the online higher education accreditation process. Developed to improve the efficiency and quality of higher education accreditation processes. At Sapto, the University acts as an entity that submits accreditation proposals for both the Higher Education Accreditation and the Study Program Accreditation. BAN-PT has approved a complaint service related to technical issues in SAPTO that can be addressed to the hotline-sapto email account. BAN-PT has a question and answer service through the e-mail hotline sapto which can be used by universities to facilitate related to the accreditation process with sapto. Submission and questions about the accreditation process with Sapto are still responded more quickly by staff who work as public relations BAN-PT. This relates to direct question and answer questions and also a lot of time spent reading or sending spam messages as well as unwanted irrelevant questions. Email technology is also used a lot not for positive purposes so as to benefit from spam email. On this occasion the research that will be conducted is the classification of spam emails from the hotline-sapto account and preprocessing and the calculation of its accuracy, AUC with various data mining classification methods, including the Naïve Bayes algorithm, Support Vector Machine (SVM), this method is used to predict spam emails with that is the purpose of the algorithm chosen is the most accurate algorithm that can predict spam emails. From the test results obtained by the calculation of the SVM method with PSO get an accuracy value of 85.25% with AUC of 0.892

ANALISIS SENTIMEN ARTIKEL BERITA TOKOH SEPAK BOLA DUNIA MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE DAN NAIVE BAYES BERBASIS PARTICLE SWARM OPTIMIZATION Fuad Nur Hasan; Mochamad Wahyudi
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol 3 No 4 (2018): November
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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

Information about the actual news that occurs every day, or what happens every minute that can now be easily obtained such as general online news sites containing various actual information, as well as news sites that have special rubrics, for example news about politics, economics, education , entertainment, sports and so on. by using sentiment analysis by classifying documents with text mining. The algorithm used in this study is Naive Bayes and Support Vector Machine based on Particle Swarm Optimization. The results obtained from testing NB, NB (PSO), SVM and SVM (PSO) data will be compared. SVM (PSO) accuracy has a higher accuracy compared to SVM, NB and NB (PSO). So it can be concluded that the best optimization application in this model is that Support Vector Machine based on Particle Swarm Optimization (PSO) can provide a solution to classification problems in the case of sentiment analysis of world football figures Lionel Messi.

E-Learning Sebagai Solulusi Pembelajaran Dari Rumah Di Tengah Pandemi Covid-19 Di MTs. MAS Al-Jamiyatul Washliyah Lubuk Pakam Herman Mawengkang; Sutarman Sutarman; Husain Husain; Mochamad Wahyudi
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Various information technology-based learning products were created to improve the quality of learning, one of which is online learning media known as e-learning. In addition, during the Covid 19 pandemic, which required learning from home, Mts.Mas Al-Jamiyatul Washliyah Lubuk Pakam was no exception. The use of the E-Learning application in PKM aims to help Mts.Mas Al-Jamiyatul Washliyah Lubuk Pakam in the process of teaching and learning activities. With this application, it is hoped that it can help problems faced by teachers and students outside of class hours, such as lack of communication time between teachers and students, searching for information about the material being taught, and of course to facilitate teachers in providing material to students. The result achieved is the availability of supporting applications for teaching and learning activities that can be obtained regardless of time and place. The conclusion with the existence of E-Learning is that it makes it easier for teachers to provide learning to students outside of class hours such as providing material, easiness in giving assignments and collecting assignments, exams, and facilitating value information.

Method Implementation Multifactor Evaluation Process (MFEP) in Recommending the Best Types of Cattle for Beef Cattle Farming Lise Pujiastuti; Mochamad Wahyudi; Freshtiya Beby Larasati; Solikhun
Jurnal Mantik Vol. 5 No. 1 (2021): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol5.2021.1292.pp147-152

This study aims to implement a decision support system in recommending the best type of cow. The research data comes from interviews and field observations. Based on these observations and interviews, 5 alternatives were obtained Lemosin (A1), Simental (A2), Bali (A3), Dairy (A4), Brahma (A5), as the selected type of cow and 5 criteria for selecting cattle, namely Origin (A), Price (B), Age (C), Weight (D), and Size (E). This research uses the MFEP (Multi Factor Evaluation Process) method. From the results of research and calculations using the MFEP method, it is found that Lemosin (A1) is the best type of cow with a total weight value of 0.6875.This study aims to implement a decision support system in recommending the best type of cow. The research data comes from interviews and field observations. Based on these observations and interviews, 5 alternatives were obtained Lemosin (A1), Simental (A2), Bali (A3), Dairy (A4), Brahma (A5), as the selected type of cow and 5 criteria for selecting cattle, namely Origin (A), Price (B), Age (C), Weight (D), and Size (E). This research uses the MFEP (Multi Factor Evaluation Process) method. From the results of research and calculations using the MFEP method, it is found that Lemosin (A1) is the best type of cow with a total weight value of 0.6875.

Application of K-Means Algorithm Data Mining in Goat Meat Production Data Grouping in Indonesia Mochamad Wahyudi; Solikhun Solikhun; Lise Pujiastuti
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Data mining is the process of mining data from big data to get important information. The data mining process requires the use of artificial intelligence technology. The production of goat meat is very much needed in the fulfillment of protein ingredients for the people of Indonesia. It is necessary to make a grouping of goat meat production to see the condition of the map of the strength of meat production in Indonesia, so that the government can take appropriate steps to develop goat meat production in Indonesia. This study uses data mining techniques using the k-means clustering method to classify goat meat production in Indonesia. The results of this study are data on mutton product clustering, namely 2 nodes in the high group, the low group having 22 nodes, and the medium group having 10 nodes.

SISTEM INFORMASI AKADEMIK BERBASIS WEB PADA SMK AL-MIFTAHIYYAH DI JAKARTA UTARA Khoirun Nisa; Mochamad Wahyudi; Lestari Yusuf
Jurnal Sistem Informasi Vol 4 No 2 (2015): JSI Periode Agustus 2015
Publisher : LPPM STMIK ANTAR BANGSA

Abstractâ€” Computerized technology has not yet been applied well, so for the delivery and presentation of academic information is still having problems. Data processing data of students, teachers, student attendance data, scheduling of classes, divisions and judgements are still using books or archives that are less effective and efficient because there hasn't been a more organized storage well so as to allow the occurrence of redudancy. The methodolgy of the development of the system software writer use waterfall Model. He made the academic information systems with web-based, it is expected to be meminimalisasikan problem that occurs so it can meet the needs of the information needed by teachers, students and parents and caregivers can be used for media promotion. The Software used is Dreamweaver CS3, Adobe Photoshop, and Apache2Triad. Â Intisariâ€” Teknologi komputerisasi belum diterapkan dengan baik, sehingga untuk penyampaian dan penyajian informasi akademik masih banyak mengalami masalah. Pengolahan data siswa, data guru, data kehadiran siswa, pembagian kelas, penjadwalan hingga penilaian masih menggunakan buku atau arsip sehingga kurang efektif dan efisien karena belum ada penyimpanan yang lebih terorganisir dengan baik sehingga memungkinkan terjadinya kerangkapan data. Metodologi pengembangan sistem perangkat lunak yang penulis gunakan adalah Model Waterfall. Dengan dibuatnya sistem informasi akademik berbasis web, maka dapat meminimalisasikan masalah yang terjadi sehingga dapat memenuhi kebutuhan informasi yang dibutuhkan oleh guru, siswa dan orang tua wali murid serta dapat digunakan untuk media promosi. Software yang digunakan adalah Dreamweaver CS3, Apache2Triad dan Adobe Photoshop. Â Kata kunci : Sistem Informasi Akademik, SMK AlMiftahiyyah, Data Nilai

SISTEM INFORMASI PENJUALAN AKSESORIS VESPA BERBASIS WEB PADA CV. A.S. HIKMAT MOTOR BEKASI Yuni Eka Achyani; Mochamad Wahyudi; Lestari Yusuf
Jurnal Sistem Informasi Vol 4 No 2 (2015): JSI Periode Agustus 2015
Publisher : LPPM STMIK ANTAR BANGSA

Abstractâ€” The development of today's business world make the information as an important pillar in the course of operating a business in order to achieve the desired goal by the entrepreneur. Knowledge of the product information is very important in the decision to purchase products offered by a company, complete, relevant and accurate. Means the internet is one of the media information that effective and efficient in the delivery of information that can be accessed by anyone, anywhere and anytime. CV. A.S. Hikmat Motor is a company engaged in the sale of vespa accessories in order to complete in running the business, expanding sales territories, and increase te income of a website can be a solution that can provide the desired product information for buyers. This store developed with SDLC (System Development Life Cycle) and the software used to design and designing E-Commerce Applications is the PHP programming language, text editor Macromedia Dreamweaver CS3 and the MySQL Database. The author makes accessories sales information system web-based vespa in CV. A.S. Hikmat Motor which can to overcome constraints on manual sales system, can increase sales with good marketing and generating accurate and up to date with the internet. Â Intisariâ€” Perkembangan Dunia Usaha saat ini menjadikan informasi sebagai pilar penting dalam berjalannya kegiatan operasional suatu usaha demi tercapainya tujuan yang diinginkan oleh pengusaha tersebut. Pengetahuan akan informasi suatu produk adalah hal yang sangat penting dalam pengambilan keputusan untuk pembelian produk yang ditawarkan oleh suatu perusahaan, secara lengkap, relevan dan akurat. Sarana internet adalah salah satu media informasi yang efektif dan efisien dalam penyampaian informasi yang dapat pula diakses oleh setiap orang, dimana saja dan kapan saja. CV. A.S. Hikmat Motor adalah perusahaan yang bergerak dalam penjualan produk aksesoris vespa, agar bisa bersaing dalam menjalankan bisnisnya, memperluas wilayah penjualan, serta meningkatkan pendapatan maka sebuah website bisa menjadi solusi yang dapat menyediakan informasi produk yang diinginkan bagi pembeli. Toko ini dikembangkan dengan SDLC (System Development Life Cycle) dan software yang digunakan untuk merancang dan mendesain Aplikasi E-Commerce yaitu bahasa pemrograman PHP, text editor MacromediaÂ reamweaver CS5 dan Database MySQL. Penulis membuat sistem informasi penjualan aksesoris vespa berbasis web pada CV. A.S. Hikmat Motor yang dapat mengatasi kendala yang ada pada sistem penjualan manual, dapat Â eningkatkan penjualan serta menghasilkan informasi yang akurat dan up to date dengan adanya internet.Â Kata kunci : Penjualan, Informasi, Aksesoris Vespa, Website

SISTEM INFORMASI NILAI HARIAN SISWA BERBASIS WEB PADA SMA NEGERI 3 BEKASI Ganda Wijaya; Mochamad Wahyudi; Sumanto Sumanto
Jurnal Sistem Informasi Vol 3 No 2 (2014): JSI Periode Agustus 2014
Publisher : LPPM STMIK ANTAR BANGSA

bstractâ€” Academic activities is a process which does educational activities on their activities require fast and accurate information. But in fact, not a few obstacles that occur. This is because there is often a buildup of data made it difficult to search the data at any time if necessary. Among the obstacles that occur are obstacles in the processing of the daily value of students. During this time the daily value processed manually students who use more paper media and do not yet have a database.Through research conducted by the method of research, observation and interviews at SMAN 3 Bekasi, the author argues that the need to build a web brasis information system that can minimize the obstacles that occur so as to meet the needs of information for teachers, students and other concerned parties. The end result of this research in the form of web-based information systems that can provide students with a daily value information more efficiently.Â Intisariâ€” Kegiatan akademik merupakan proses dimana dilakukannya kegiatan pendidikan yang pada aktivitasnya memerlukan informasi yang cepat dan akurat. Akan tetapi dalam faktanya tidak sedikit kendala yang terjadi. Hal ini karena sering terjadi penumpukan data yang mengakibatkan sulitnya pencarian data apabila sewaktu-waktu diperlukan. Diantara kendala yang terjadi adalah kendala dalam proses pengolahan nilai harian siswa. Selama ini nilai harian siswa diproses secara manual yang lebih banyak menggunakan media kertas dan belum memiliki basis data. Melalui penelitian yang dilakukan dengan metode riset, obeservasi dan wawancara pada SMA Negeri 3 Bekasi, penulis berpendapat bahwa perlu dibangun sebuah sistem informasi brasis web yang dapat meminimalisasikan kendala yang terjadi sehingga dapat memenuhi kebutuhan informasi bagi para guru, siswa dan pihak terkait lainnya.Adapun hasil akhir dari penelitian ini yakni berupa sistem informasi berbasis web yang dapat menyajikan informasi nilai harian siswa dengan lebih efisien. Kata kunci : Internet, Sistem Informasi Nilai Harian Siswa

Co-Authors Abdurrachman, Qais Ade Budiman, Ade Adi Supriyatna Akbar, Habibullah Ali Haidir Alpha Ariani, Alpha Andri Amico Atrinawati, Lovinta Happy Azis, Munawar Abdul Azkia, Farah Diba Barreto Jose da Conceição Budiman, Ade Surya Dedi Triyanto Dedi Triyanto Dedi Triyanto Deni Kurniawan, Deni Dennis Gunawan, Dennis DENY KURNIAWAN Deny Kurniawan Dewi, Revinta Arrova Dimas Trianda Doni Purnama Alam Syah, Doni Purnama Dwi Arum Ningtyas Efendi, Syahril Faiz Djarot, Raihan Jamal Fajar Akbar Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Freshtiya Beby Larasati Fristi Riandari Fuad Nur Hasan Ganda Wijaya Ganda Wijaya, Ganda Givan, Bryan Hartama, Dedy Hengki Tamando Sihotang Herman Mawengkang Husain Husain Husain Husain Ihsan Daulay Ikhwan, Subaiki Imam Sutoyo Indra Chaidir, Indra Khoirun Nisa KHOIRUN NISA Kotjek, Rafie Laksono, Andriansyah Tri Lestari Yusuf Lise Pujiastuti Lise Pujiastuti Lise Pujiastuti Lise Pujiastuti Lise Pujiastuti Lise Pujiastuti Lise Pujiastuti Lise Pujiastuti Merio Hengki Muhammad Safii Muhammad Zarlis Mukhtar, Mukhneri Noviyanto Nurajijah Nurajijah Nurhasanah Halim Oktaviany, Venny Pricillia Pujiastuti , Lise Pujiastuti, Lise Rachmat Adi Purnama Rahmansyah Siregar, Muhammad Rani, Maulidina Cahaya Retno Dwigustini Reynaldi , Reynaldi Rifani Haikal Riska Aryanti Riski Wulandari Rugaiyah Safii Safii Sfenrianto Sfenrianto Siregar, Muhammad Rahmansyah Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun Solikhun, Solikhun SUMANTO Sumanto Sumanto Sumanto, Sumanto Sunu Sugi Arso Susilawati Susilawati Sutarman Sutarman Syarifah Putri Agustini Tantrisna, Ellen Vinsensia, Desi Wijaya, Filzah Yahya Mara Ardi Yosua Chandra Simamora Yudha, Satria Wira Yuni Eka Achyani, Yuni Eka Zidan, Muhammad

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