Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal International Journal of Artificial Intelligence Research INTECOMS: Journal of Information Technology and Computer Science
Mufid, Nisrina Faiza
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Identifying Improvement Strategic from User Application Reviews Group Using K-Means Clustering and TF-IDF Weighting Istiqomah, Khairunnisa Nurul; Widodo, Imam Djati; Mufid, Nisrina Faiza; Qurtubi, Qurtubi
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.1062

Abstract

PT ABC is one of the companies that provide online ticket-purchasing facilities amidst the rise of the digitalization era. So, companies need to see how application users complain as a form of evaluation and improvement. The rating results given by application users show a score of 3.3 from 172,000 reviews. The review results that will be examined are user reviews from January 2022 to April 1, 2023, which is more or less the last year of user comments. This research aims to form a review group using K-Means Clustering, the Elbow method, TF-IDF weighting, and analysis of review improvement strategies. The Elbow method is used to determine the optimal number of clusters so as not just to use assumptions. The success of the Elbow method in processing categorical data can be supported by assigning weights based on word frequency sequences using TF-IDF. The research analysis results show the formation of 4 clusters, with two tending to have negative sentiment, one neutral sentiment, and one positive sentiment. Mapping is carried out on each cluster to find out the characteristics of each cluster and possible causes of reviews, as well as providing solutions and strategies as a form of improvement. The problem of negative reviews appearing in each review group is different. It can be corrected with the proposed strategies, such as improving the appearance of features at the registration, ordering, and payment stages, adding payment methods, and carrying out regular system maintenance.
Optimalisasi Atribut Reliability Pada Rantai Pasok Perusahaan Produksi Baut Dengan Framework Scor Racetrack 12.0 Kurniawan, Angga; Apriani, Ratna Agil; Basuki, Demas Emirbuwono; Mufid, Nisrina Faiza; Mukarim, Rifki Nurul
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 5 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i5.12234

Abstract

PT. XYZ merupakan Perusahaan manufaktur yang berproduksi baut otomotif. PT. XYZ mengalami beberapa masalah yang salah satunya yaitu keterlambatan pengiriman part baut ke konsumen. Hal tersebut terjadi karena beberapa factor yaitu delay material, delay pick up, packing trouble, overheat pada mesin dan sebagainya. Dalam permasalahan keterlambatan pengiriman part baut ke konsumen pada PT. XYZ, maka atribut Reliability pada SCOR Racetrack model version 12.0 dapat digunakan dalam menganalisa dan Upaya untuk memperbaiki permasalahan keterlambatan pengiriman pada Perusahaan. Dari atribut Reliability terdapat metrics level-1, metrics level-2 dan metrics level-3 dan penelitian ini dilakukan untuk mengetahui metrics dari atribut Reliability yang perlu ditingkatkan dan diberi sebuah usulan perbaikan. Hasil penelitian ini adalah pada metrics RL.2.2 Delivery Performance of Konsumen Commit Date terdapat 2 metrics level-3 berdasarkan hierarki metrics yaitu RL.3.32 Konsumen Commit Date Achievement Time Konsumen Receiving dan RL.3.34 Delivery Location Accuracy. Pada hasil perhitungan, hanya metrics RL.3.32 Konsumen Commit Date Achievement Time Konsumen Receiving yang memiliki rata-rata sebesar 85,45% dengan nilai GAP sebesar 14,55%. Setelah mengetahui metrics level-3 yang memiliki GAP maka dibuat analisis fishbone diagram untuk mengetahui penyebab pada masalah tersebut. Pada analisis fishbone diagram menghasilkan 7 project usulan, namun dari hasil priorization matrix terdapat 2 project usulan saja yang akan direkomendasikan project kick-off yaitu BP.089 Perfect Pick Put-Away dengan melakukan re-layout penempatan warehouse dan tempat box packing agar efisien dengan operator packing dan BP.160 Lean dengan melakukan pemangkasan aktivitas tidak bernilai pada proses packing.
Co-Authors Angga Kurniawan Apriani, Ratna Agil Basuki, Demas Emirbuwono Istiqomah, Khairunnisa Nurul Mukarim, Rifki Nurul Qurtubi Qurtubi, Qurtubi Widodo, Imam Djati