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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Pendidikan Teknik Mesin Syntax Literate : Jurnal Ilmiah Indonesia JIE (Journal of Islamic Education) AL-JAZARI JURNAL ILMIAH TEKNIK MESIN PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL PENDIDIKAN TAMBUSAI Journal on Education Mudir : Jurnal Manajemen Pendidikan Jurnal Dinamika Manajemen Pendidikan (JDMP) Jurnal Informasi dan Teknologi Jurnal Mesin Nusantara AKM: Aksi Kepada Masyarakat Jurnal Sains dan Teknologi Journal of Technology Research in Information System and Engineering STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Journal of Economics, Entrepreneurship, Management Business and Accounting West Science Interdisciplinary Studies West Science Interdisciplinary Studies
Abdul Tahir
Program Studi Perbaikan Dan Perawatan Mesin, Akademi Teknik Soroako
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

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Application of Holt-Winter Exponential Smoothing Method to Design a Drug Inventory Prediction Application in Private Health Units Cut Susan Octiva; Israkwaty; Uli Wildan Nuryanto; Handry Eldo; Abdul Tahir
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.464

Abstract

This research aims to see how to design a drug supply prediction application using the Holt-Winter Exponential Smoothing method. The collection methods used in the research are as follows: observation, interviews. The prototyping system development method includes several important stages in designing research applications. The first stage is communication. After that, the Quick Plan stage. Construction of prototype stages. The final stage, deployment delivery and feedback, is the phase of system use by users. In addition, the team also conducts regular system maintenance to ensure optimal performance. These stages together form an iterative process for developing research applications using the prototyping method. Based on the research results, it was found that the test results for the drugs amoxicillin, cefixime, paracetamol, and CTM showed that the MAPE value was less than 10% for these four drugs, which means that the predictive value has quite high accuracy. So it can be concluded that the Holt Winter Exponential Smoothing algorithm can be well implemented to predict drug supplies.
Application of Forward Chaining and Rule-Based Reasoning Methods to Design an Expert System for Pregnant Women Disease Diagnosis in a Private Hospital Abdul Tahir; Donny Hendriyanto; Ana Faizah; Jamil Anshory; Rofiq Harun
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.480

Abstract

This research aims to discover how to create and implement an expert system for prenatal disease diagnosis. To prepare this study, the author employed several data collection techniques, including observation, interviews, and a literature review. The system to be designed was developed using an object-oriented paradigm and a Rapid Application Development (RAD) technique. Multiple development stages are involved in creating RAD, including requirement planning, workshop design, and implementation. Based on the study findings, it was discovered that the PHP programming language, MySQL database management system, Apache web server, UML tool, and RAD system development methodology were used to create an expert system for identifying illnesses in expectant mothers. The forward chaining method is used for this expert system, where the first stages are to create an inference tree and set rules. This system likewise computes the consistency test using the Bayes theorem method. With an 80% accuracy rate, SISPADIBU can be used as a diagnostic tool for disorders related to pregnancy. SISPADIBU can use the user-entered symptoms to present the diagnosis results. According to the survey results, 80% of users said that SISPADIBU was highly user-friendly, that the layout display was simple to use, and that it was constructive in educating users about pregnancy disorders.
Co-Authors ., Mohzana Agus Setiono Ana Faizah Ari Purwati Aziz Asmauna Burhanuddin Burhanuddin Cindy Sandra Lumingkewas Cut Susan Octiva Didit Yantony Donny Hendriyanto Edi Rande Padang Esti Susiloningsih Fadli agus triansyah Fatma Sarie Ferry Anggriawan Fitriana Firdaus Handry Eldo Harjuma Harjuma Harman , Ikhsan Amar Jusman Ilham Arief Irdam Irdam Israkwaty Israwaty Israwaty Jamil Anshory Jasman Jasman Jemmy Jemmy* Landebawo, Akib Muhamad Sigid Safarudin Musakirawati Musakirawati Najaz Shidiq Retno N. Whidhiasih Rival Pahrijal Rofiq Harun Simon Parekke Sirama Sirama Sudadi Uli Wildan Nuryanto Yoiceta Vanda