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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) JURNAL MEDIA INFORMATIKA BUDIDARMA The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Pengabdian Masyarakat IPTEK Jurnal Sistem Komputer Triguna Dharma (JURSIK TGD) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD)
Masyuni Hutasuhut
STMIK Triguna Dharma
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences

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Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

 1 
Penerapan Metode Fuzzy Mamdani Untuk Menentukan Stok Produk Herbal Berdasarkan Permintaan dan Penjualan Nasyuha, Asyahri Hadi; Hutasuhut, Masyuni; Ramadhan, Mukhlis
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 4 (2019): Oktober 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i4.1354

Abstract

Sales is one of the activities undertaken by many people as a promising business field. Prediction of the number of items to be sold must be in accordance with stock at the store so that demand and sales can be fulfilled. Therefore, we need a system to find out the amount of stock of herbal products so they do not experience problems in determining stock in each month. By using the Fuzzy Mamdani method as an algorithm for solving the problem, and the criteria are changed in the form of weighting so that the system can do calculations that provide the speed of information in the form of a computerized system. The results of this study aim to apply the Mamdani fuzzy logic method in predicting the amount of herbal product stock based on sales data and the number of requests. Provides results in the form of information printed in a report containing order data for the number of subsequent stock orders
Analisis Aritmia (Gangguan Irama Jantung) Menerapkan Metode Certainty Factor Masyuni Hutasuhut; Tugiono Tugiono; Asyahri Hadi Nasyuha
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3289

Abstract

The heart is one of the most important organs for humans that functions to pump oxygenated blood, the heart can experience problems, one of which is arrhythmia, arrhythmia is a heart rhythm disorder or pattern of rapid changes from a normal heart rate. Heart rhythm disturbances (arrhythmias) are patterns of rapid change from the normal heart rate. This becomes a problem when not handled properly and correctly because it can cause disruption of the heart's function, even in more severe cases it can cause sudden death. An expert system is one of the artificial intelligence of humans that studies how an expert thinks in solving a problem, making decisions or drawing conclusions from a number of facts. An expert system is a system that adopts the expertise of an expert that can be used to overcome certain problems, one of which is diagnosing arrhythmias. This study applies Certainty Factor analysis which can provide additional knowledge to the public, especially knowledge on heart disease. So that arrhythmia analysis with this certainty factor method can be applied to a system that helps the general public in preventing and overcoming heart rhythm disorders
Co-Authors Abdullah Muhazir Ahmad Calam Ardiansyah, Veggy Ardianto Pranata Ardianto Pranata Asyahri Hadi Nasyuha Azlan Azlan Azmi, Zulfian Badrul Anwar Barus, Novrina Br Bayu Handika Beni Andika Berlianta Esterlina Br Tarigan Br Tarigan Buyung Solihin Hasugian Dandi Rakimad Usman Deski Helsa Pane Destari Magdalena Br. Sitorus Dicky Nofriansyah Dina Octavina Faisal Taufik Fitri, Mufa Roza Gajut Doin Duta Ginting Ginting, Erika Fahmi Hafizah Hafizah Hendra Jaya Hendryan Winata Hutabarat, Muliady imam syahputra lubis Irawan, Irfan Iskandar Zulkarnain Jaka Prayudha Jeli Jeli Jepri Firdaus Surbakti Jufri Halim kamil erwansyah Khairi Ibnutama Kharisma Tesya E Mario Febrian Panjaitan Marsono Marsono Mhd Gilang Suryanata Muhammad Agung Lesmana Muhammad Ariq Kautsar Muhammad Dahria Muhammad lemsium Munthe Muhammad Syahril Mukhlis Ramadhan Mukhlis Ramadhan Nizwardi Jalinus Nur Yanti Luman Gaol Puji Sari Ramadhan Purwadi Purwadi Putri Aulia Kamal Ramadhan, Muhammad Sabir Ramadhan, Mukhlis Refdinal, Refdinal Relita Girsang Ribka Claudia Sijabat Rini Kustini RR. Ella Evrita Hestiandari Rudi Gunawan Salsabila Prila Puspitaningtyas Saniman Saniman Sarah Nainggolan Sobirin Sobirin Sri Kusnasari Sri Kusnasari Syahputri, Astri Trinanda Syahputra Trinanda Syaputra Tugiono Tugiono Yohanni Syahra Zaimah Panjaitan Zulfian Azmi Zulkifli Lubis