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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
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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Journal : Jurnal Mantik

 1 
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)

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Abstract

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

Abstract

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)

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Abstract

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.
OPTIMIZATION OF THE NUMBER OF CLUSTERS ON K-MEDOIDS USING CHEBYCHEV AND MANHATTAN ON GOLD SELLING GROUPING Dedi Triyanto; Deny Kurniawan; Mochamad Wahyudi
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Gold is a type of precious metal that can maintain value and can be used for exchange. Gold has attractive properties, so many people like to buy gold for jewelry and also for investments that can be resold when they need money quickly. During the COVID-19 pandemic, some sales sectors experienced a decline but gold was still selling well. M. Siregar Gold Shop serves gold jewelry sales. Gold jewelery sales transactions at the M. Siregar gold shop are stored in the database. Every day the transaction data is increasing, so the data is getting more and more. From the mountains of data we can dig up information or generate knowledge. M. Siregar's gold shop has difficulty in knowing the type of gold that is selling well, making it difficult for gold shop owners to determine the right gold supply. This study aims to classify gold sales at the M. Sisregar gold shop so that it is known which types of gold are selling well. This grouping uses the K-Medoids method with the calculation of the distance between the Chebychec distance and the Manhanttan distance. The data is taken from the sales of gold at the M. Siregar store from November 2021 to March 2022. To produce an optimal grouping, this grouping is tested with several number of clusters by calculating the distance between Chebycev distance and Manhattan distance by calculating the DBI value of each number of clusters. . The result of the optimal grouping of gold sales is the K-Medoids method with the calculation of the Chebycev distance with the number of clusters = 2 with DBI value = 0.024.ns.
COMPARISON OF EUCLIDEAN DISTANCE, CAMBERRA DISTANCE, AND CHEBYCHEV DISTANCE IN K-MEANS ALGORITHM BASED ON DBI EVALUATION Deny Kurniawan; Dedi Triyanto; Mochamad Wahyudi
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

During the COVID-19 pandemic, almost all businesses experienced difficulties. But not all businesses experience difficulties. Cosmetics is a product category that still exists during the pandemic. Many customers buy cosmetics through online sales. Devi Cosmetics is a trading business which is engaged in selling cosmetics. Due to the large number of sales transactions recorded in the neglected database, it is difficult for business managers to find out which cosmetic products are in high demand by customers and make it difficult for business managers to determine the inventory of cosmetic goods correctly. Determination of the incorrect supply of cosmetics resulted in the loss of the store manager, namely many customers who canceled buying cosmetics due to empty supplies. This study uses the K-Means algorithm to classify sales of cosmetic goods. To find out the best grouping results, it is necessary to compare several distance calculation methods. The distance calculation method here uses three methods, namely Euclidean Distance, Camberra Distance, and Chebychev Distance by finding the DBI value of the three methods. The smallest DBI value is the chebychev distance calculation method with a DBI value = 0.254.
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 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