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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC)
Muhammad Naufal Rifqi
Universitas Nasional, Jakarta
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Perancangan Aplikasi Task Management Untuk Asisten Laboratorium Dengan Metode PIECES Berbasis Android Rima Tamara Aldisa; Muhammad Naufal Rifqi
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.06 KB) | DOI: 10.47065/josh.v4i1.2414

Abstract

This study aims to build a task management application aimed at laboratory assistants to plan and develop a job in one period. With this android-based application, it is easier for laboratory assistants to be able to find out more about how satisfied and comfortable the assistant is in using the application. This system is made using the Pieces method, with measurements of 6 aspects or variables, namely from the aspects of Performance, Information, Economics, Control, Effeciency, Service. The results of the analysis of the Pieces method show that the measurement of the satisfaction level of the system is laboratory assistant. With a method that produces an average value of 3.518 and is included in the satisfactory category, it can be said that the use of this application helps the laboratory during a period of being satisfied with the android-based application.
Sistem Pendukung Keputusan Rekomendasi Wedding Organizer Terbaik Menerapkan Metode MOORA dan Pembobotan ROC Muhammad Naufal Rifqi; Agus Iskandar
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4433

Abstract

Wedding Organizer provides a variety of services to help couples prepare and organize their wedding according to their wishes. However, with so many choices of wedding planners in Medan, couples often have difficulty choosing the best one for their needs. Decision Support System (DSS) is a strategy that assists in decision making by applying mathematical and statistical techniques to available data. In the case of selecting a Wedding Organizer, SPK can be used to assist couples in assessing and choosing the optimal option that matches the parameters that have been set. This complex selection process involves careful consideration of price, quality of service, reputation, portfolio and experience. The MOORA method with the ROC weighting method is one of the methods that can be used in DSS to select the best alternative based on several criteria. The MOORA method allows ranking alternatives based on different criteria, while the ROC method weighting can help overcome data imbalance problems and optimize model performance in decision making. From the results of calculations using the MOORA and ROC methods that have been carried out from 8 alternatives, it produces recommendations for the wedding organizer, namely getting 4 highly recommended alternatives while 4 other alternatives are sufficiently recommended. The research findings show that the application of the MOORA method with the ROC Method assessment is able to provide recommendations that are more precise and in accordance with the established criteria, assisting couples in making accurate and efficient decisions when choosing the Wedding Organizer that best suits their wishes and needs.
Analisa Sistem Pakar Menggunakan Algoritma Teorema Bayes Untuk Mendiagnosa Penyakit Fibrodysplasia Ossificans Progressiva (FOP) Muhammad Naufal Rifqi; Agus Iskandar
Journal of Computer System and Informatics (JoSYC) Vol 4 No 4 (2023): August 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i4.4041

Abstract

Fibrodysplasia Ossificans Progressiva (FOP) adalah penyakit langka yang disebabkan oleh kelainan genetik yang menyebabkan pembentukan tulang tidak normal di jaringan lunak tubuh. Mendiagnosis FOP menimbulkan tantangan karena langkanya kasus dan gejala awal yang ambigu. Kedua, karakteristik unik FOP menyulitkan membedakannya dari penyakit lain. Pemahaman terbatas tentang FOP dapat menyebabkan kesalahan diagnosis. Harapan muncul dengan kemajuan kecerdasan buatan, khususnya sistem pakar, yang membantu mendiagnosis FOP berdasarkan pengetahuan terprogram. Teorema Bayes, sebuah sistem kecerdasan buatan, digunakan untuk menghitung probabilitas diagnosis. Hasil diagnosa menunjukkan kemungkinan 74% pasien menderita FOP. Metode ini menggunakan data relevan untuk menghitung probabilitas secara akurat dan memberikan estimasi tingkat kepercayaan dalam mendiagnosis penyakit. Hasil ini panduan bagi dokter menyusun rencana perawatan yang sesuai dan efektif. Penerapan teknologi ini berpotensi meningkatkan manajemen pasien dan kualitas hidup mereka dengan FOP. Tetap diingat bahwa diagnosis medis memerlukan konfirmasi melalui pemeriksaan menyeluruh oleh para profesional kesehatan. Keberhasilan teknologi kecerdasan buatan dalam mendiagnosis FOP memberikan harapan bagi pengembangan perawatan lebih lanjut untuk kondisi langka ini.
Co-Authors Agus Iskandar Rima Tamara Aldisa