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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Unifikasi: Jurnal Ilmu Hukum Seminar Nasional Informatika (SEMNASIF) CESS (Journal of Computer Engineering, System and Science) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Unram Law Review Sinkron : Jurnal dan Penelitian Teknik Informatika Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Tekno Insentif J-SAKTI (Jurnal Sains Komputer dan Informatika) Legal Standing : Jurnal Ilmu Hukum Majalah Ilmiah UNIKOM Jurnal Riset Informatika Journal of Humanities and Social Studies Madinah: Jurnal Studi Islam Jurnal Tekno Kompak Pena Justisia: Media Komunikasi dan Kajian Hukum Nurani Hukum : Jurnal Ilmu Hukum Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Riset Akuntansi Kontemporer Batulis Civil Law Review IICS J-SAKTI (Jurnal Sains Komputer dan Informatika) Sultan Jurisprudence : Jurnal Riset Ilmu Hukum Jurnal Impresi Indonesia Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra Edu Sociata : Jurnal Pendidikan Sosiologi International Journal Engineering and Applied Technology (IJEAT) JURNAL ILMIAH INFOKOM Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Eduvest - Journal of Universal Studies eProceedings of Management Probono and Community Service Journal Imara: Jurnal Riset Ekonomi Islam Pubmedia Jurnal Penelitian Tindakan Kelas Indonesia Kanun: Jurnal Ilmu Hukum Journal of Innovative and Creativity Riset Akuntansi dan Keuangan Indonesia Civic Education Law and Humaniora : Jurnal Pengabdian Masyarakat Terintegrasi Jembatan Hukum: Kajian Ilmu Hukum, Sosial dan Administrasi Negara Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Digital JURNAL AKADEMIK EKONOMI DAN MANAJEMEN Unifikasi : Jurnal Ilmu Hukum Research In Management and Accounting (RIMA) Jurnal Studi Ilmu Alquran dan Tafsir Jurnal Komputer, Informasi dan Teknologi
Muslih, Muhamad
Universitas Nusa Putra
Religion Aerospace Engineering Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Neuroscience Public Health Social Sciences Other

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Journal : international journal engineering and applied technology ijeat

 1 
APPLICATION OF K-MEANS ALGORITHM ON FAVORITE MENU SELECTION AT WARUNG NASI ALAM SUNDA Lisnawati Fitriyani; Neneng Komariah; Yusef Bintang Fajar; Sudin Saepudin; Muhamad Muslih
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 5 No. 1 (2022): International Journal of Engineering and Applied Technology (IJEAT)
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (759.552 KB) | DOI: 10.52005/ijeat.v5i1.55

Abstract

Warung Nasi Alam Sunda is a stall that does sundanese culinary business that serves several dishes of various vegetables, soto, chicken, fish, and others. In the application of favorite menu, Warung Nasi Alam Sunda determines it randomly, so it does not match the report given. This research aims to assist the restaurant in determining the favorite menu. This research uses data mining techniques with K- Means. Input attributes in this study include price, taste, favorites. In this study, it can be produced that the results of grouping into 3 groups namely c- 1=fried chicken, c-2=fried carp and c-3=soto betawi. After 9 iterations, the 8th and 9th results are the same as c-1=9, c-2=22 and c-3=16. Then get the highest result as follows fried chicken=53, oxtail soup=49 and intestinal satay=42. Judging from the largest to smallest order of the sample 47 variables taken only 3 representatives. So the highest result is fried chicken. That will be the favorite menu at Warung Nasi Alam Sunda. System design using UML, system implementation using PHP and MySQL. The goal that this study wanted to achieve was to be able to cluster your favorite food menus using the K-Means algorithm
PRIORITY PROGRAM SELECTION OF VILLAGE FUND USING THE K-MEANS METHOD Ati Sulastri; Siti Khalifah; Dhea Lestari; Dudih Gustian; Muhamad Muslih; Kirishchieva Irina Rafaelevna
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 3 No. 2 (2020): International Journal of Engineering and Applied Technology (IJEAT)
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1118.891 KB) | DOI: 10.52005/ijeat.v3i2.61

Abstract

The allocation of funds is certainly a big village also demands a big responsibility for the village government. In managing public funds, a public sector organization is required to be able to provide accountable financial reports. To achieve the effectiveness of village financial management, a decision support system is needed to assist village officials in determining which village programs will be prioritized. This research focuses on village programs that use village fund allocations. The purpose of this study is to create a decision support system todetermine priority village fund programs using a web-based kmeans clustering algorithm. The k-means clustering algorithm can perform the modeling process without supervision (unsupervised) and is one of the methods that performs data grouping using the partition system. This is in accordance with the desired end result in the form of grouping the village work program into 3 priority levels, where the village road repair program is included in the high-level priority program in cluster 1, the BUMDES program is included in the medium level priority in cluster 2 and the program for the construction of a reservoir for incoming rainwater. in low priority cluster 3. This research was conducted by considering the aspects of urgency and usefulness developed using the programming language PHP version 5 and MySQL database version 3.2.1.
Optimization of Modeling Techniques for Economic Rstoration information systems after the Covid-19 pandemic by Simple Additive Weighting Muhamad Muslih; Dea Kris Sintiana Putri; Eneng Siti Nasiroh; Raziya Mutasim; Novohatko Elena Nivolaevna; Jelita Asian
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 6 No. 1 (2023): May 2023
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v6i1.83

Abstract

The Covid-19 pandemic had a major impact on the world economy, including Indonesia. Rp. 677.2 Trillion is prepared by the Indonesian government for the recovery of this condition by providing assistance to business actors. Then eligibility of beneficiaries based on certain criteria is a complicated process, the aid process has an opportunity to make inaccurate decisions because the process of determining aid is based on subjectivity. It is likely that the selected business actors do not achieve the standards desired by the government. For this reason, a decision support system was developed that could perform the calculation process against all the criteria for determining beneficiaries. The Simple Additive Weighting (SAW) method which can be used in determining the eligibility of beneficiaries as a decision support system for the government. Business actors who will be selected to be eligible aid recipients have the criteria that have the highest ranking value that hasm been determined. The criteria needed are the criteria for not receiving people's business credit (KUR), the criteria for starting business capital, the criteria for having business information (SKU) and the criteria for not being a civil servant. Due to the large number of business actors who received this assistance, it made it difficult for the government to mminimize errors in providing assistance, so that quite a number of business actors received this assistance but did not comply with government criteria. The final results of this study found that the decision support system with the SAW method problem in determining the provision of method can produce the largest value with a weight of 1.00 which is selected as an alternative "Acceptable" and the smallest value is chosen as an alternative " Not Eligible to Receive "assistance with a calculation result of less than 0.500.
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Adhitia Erfina Ahmad Rayhan Ainaya Arasya Aulia Akbar, Brilyan Yusuf Akbari, Wahyu Azriel Alamsyah, Muhammad Rifky Angel, Destyani Anggy Pradiftha Junfithrana Anne Gunawati Anne Gunawati Anwar, Jarkasi Ariefin, Ariefin Arina Simangunsong, Gabriel Naomi Rumondang Ariz Gustiana Asep Sutiawan Ati Sulastri Ayu Larasati Basri, Muhamad Budiarto, Iqbal Graha Hutama Caesaria, Septia Mitha Davina Felisha Putri Dea Kris Sintiana Putri Dede Agus Dede Agus dede agus, dede Defina Damayanti Dhea Lestari Dudih Gustian Edwinanto Efriyanto, Efriyanto Eki Furqon Eki Furqon Eneng Siti Nasiroh Fachrian Luthfi Fadillah falentino sembiring Febianca Azania Kholida Febriandhani, Ferry Febriani, Ersa Feri Fahmi Al Gadri Ferina Ardhi C Furqon, Eki Gerry Firmansyah Gunawati, Anne Hamim, Thoat Hanum Regitawati Huda, Baenil Iis Munawaroh Ira Ardila IVANA LUCIA KHARISMA Jarkasi Anwar Jarkasi Anwar Jarkasi Anwar Jelita Asian Jihan Sopyana Jordan Chan William Kamdan Kirishchieva Irina Rafaelevna KURNIA KURNIA, KURNIA Kurniawan kusumawardhani, adinda pramesty sulistya Lesmana, Seko Lisnawati Fitriyani Lisnawati Fitriyani Liyola Wendysofynia Luthfiah, Eva M., Galuh Tresna Madao, Nadakeisha Maghfiroh, Oktavia Isanur Mega Lumbia Octavia Sinaga Melvi Noviza Meynisa, Ambel Milah Nurhasanah Mirela, Dea Sinta Mochamad Khilmi Moh. Abd. Aziz Hidayat Mohamad Najib Mokhamad Gisa Vitrana Muhamad Asep Saepul R Muhammad Rangga Abdurrasyid Muhammad Rifqi Abdul Jabbar Mupaat Muthia Meisya Lavil Mutiara Islam Hasanah Nadiya Eka Puspita Virginia Nadya Klarisa Najla Tasya Fairuz Neneng Komariah Neneng Komariah Neng Resti Wardani Neng Sri Intan Septiani Noerkholiq, Shasha Marina Aufa Novohatko Elena Nivolaevna Nunik Destria Arianti Nur Nadhifah Nurlina Nuryati Solapari Palmawati Tahir Palmawati Tahir Pratiwi, Dita Indah Purnamasari Purnamasari Purnamasari, P Raden Prasetio Kustiandrana Ramadanti, Elsa Rani Sri Agustina Raziya Mutasim Regina Fazira Reni Rahayu Richieta, Yulia Billiart Laksmi Rifa, Rizka Noor Rina Hati Rizal Fahmi Awaludin RR. Ella Evrita Hestiandari Saeful Bahri Saepudin, Sudin Sastradipraja, C K Shasha Marina Aufa Noerkholiq Siska Ahmad Siti Atisa Hartati Siti Khalifah Siti Rahmah Arbai Sofiana, Debi Mega SRI RAHAYU Sri Redjeki Suhadi, Aris Tahir, Palmawati Thoat Hamim Tofik Hidayat Tri Utami Lestari Tukino, Tukino Utomo Virginia Veronica Wahdan Arum Inawati Wowon Yudi Nata Yuniar Calisna Yusef Bintang Fajar Yusep Bintang Fajar Yusuf Iskandar Zuliana Dwi Takari