Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi最新文献

Helpdesk Ticket Classification for Technician Assignment Routes Using BiLSTM 使用BiLSTM对技术人员分配路线进行帮助台票务分类

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2023-04-30 DOI: 10.24843/jim.2023.v11.i01.p05

Putu Alan Arismandika, Kadek Yota, Ernanda Aryanto, I. Made, Gede Sunarya

{"title":"Helpdesk Ticket Classification for Technician Assignment Routes Using BiLSTM","authors":"Putu Alan Arismandika, Kadek Yota, Ernanda Aryanto, I. Made, Gede Sunarya","doi":"10.24843/jim.2023.v11.i01.p05","DOIUrl":"https://doi.org/10.24843/jim.2023.v11.i01.p05","url":null,"abstract":"Fast problem-solving is one of the main keys to a company's reputation. Currently, most of the company's business processes are accommodated by applications. Often, applications in companies experience problems due to internal and external factors. Users send a request to solve problems by submitting the problem to the helpdesk tool or application. The requests at the helpdesk tool or application do not go directly to the technician who has the authority to solve them but instead go to the operator first and then escalate to the technician to be resolved. This process affects the efficiency of problem-solving time. This study proposes the use of text classification with deep learning to complete operator work. The method proposed in this study is the BiLSTM method. The total data used in this research is 160,000 helpdesk request data by dividing the data by 128,000 resolved data as training data and 32,000 on-progress data as testing data or 80% training data and 20% testing data. The research was conducted using 13 labels for the technician assignment route process Performance measurement of this study using a confusion matrix which obtained an accuracy 91.18%, precision 95.05%, and recall 93.28%","PeriodicalId":32334,"journal":{"name":"Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41911022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementation of a Supply chain Management System Blockchain-Based in Red Onion Farming 基于区块链的红洋葱种植供应链管理系统的实现

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2023-04-26 DOI: 10.24843/jim.2023.v11.i01.p02

Mira Nabila, F. Alzami, Rama Aria Megantara, Fikri Firdaus Tananto, Hasan Aminda Syafrudin, L. Handoko, Chaerul Umam

引用次数: 0

Data Visualization Of House Of Worship Distribution In The IKN Nusantara Region Using Python 使用Python实现IKN Nusantara地区礼拜堂分布的数据可视化

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2023-04-26 DOI: 10.24843/jim.2023.v11.i01.p01

Kadek Noppi, A. Jaya, Fauzi, Agus Suryana, Albertus Dwiyoga Widiantoro, Dewa Kadek, Laksana Digita

引用次数: 4

Development of Service-Oriented Architecture-Based Microservices Management as a Data Integration Service (Case Study: Udayana University) 基于面向服务架构的微服务管理作为数据集成服务的开发(案例研究:Udayana大学)

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2023-04-26 DOI: 10.24843/jim.2023.v11.i01.p03

I. Gede, Nyoman Agung Jayarana, Kadek Yota, Ernanda Aryanto, I. Made, Gede Sunarya

引用次数: 0

Implementation Enterprise Resource Planning Sales and Purchase of Goods Using WebERP Fushia Clothing Store Denpasar 利用WebERP实现企业资源规划商品的销售和采购

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2023-04-26 DOI: 10.24843/jim.2023.v11.i01.p04

Irianto Yohanes Sampe, Putu Agus, E. Pratama, Ni Made, Ika Marini Mandenni

{"title":"Implementation Enterprise Resource Planning Sales and Purchase of Goods Using WebERP Fushia Clothing Store Denpasar","authors":"Irianto Yohanes Sampe, Putu Agus, E. Pratama, Ni Made, Ika Marini Mandenni","doi":"10.24843/jim.2023.v11.i01.p04","DOIUrl":"https://doi.org/10.24843/jim.2023.v11.i01.p04","url":null,"abstract":"The application of integrated information systems in business requires improvements related to system performance. A business can run well if every division in it is integrated with one another. One of the obstacles in this research is that the sales business process is still done manually, data storage on Ms. Excel, and between divisions one with other divisions have not been integrated. The technology proposed as a solution to these problems is Enterprise Resource Planning. This research was conducted by implementing the ERP model using WebERP which is used to assist the entire series of business processes at Fushia Stores. The research conducted focuses on three parts of the process, namely on the Sales, Purchase, and Inventory sections. The implemented implementation has met the needs of Fushia Stores with a system trial result of 71.66% or the equivalent of an agree index scale. The system implemented is able to improve and integrate all data so that data processing becomes more effective and efficient to use. \u0000Keywords: Business Process, Enterprise Resource Planning, Fushia Shop, Likert Scala, WebERP.","PeriodicalId":32334,"journal":{"name":"Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47563542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dissolved Oxygen Prediction of the Ciliwung River using Artificial Neural Networks, Support Vector Machine, and Streeter-Phelps 基于人工神经网络、支持向量机与Streeter-Phelps之奇力翁河溶解氧预测

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2022-12-30 DOI: 10.24843/jim.2022.v10.i03.p06

Yonas Prima Arga Rumbyarso, Nuke L. Chusna, A. Khumaidi

引用次数: 0

Implementation Of ETL E-Commerce For Customer Clustering Using RFM And K-Means Clustering 基于RFM和k -均值聚类的ETL电子商务客户聚类实现

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2022-12-30 DOI: 10.24843/jim.2022.v10.i03.p05

F. Alzami, Fikri Diva Sambasri, Rifqi Mulya Kiswanto, Rama Aria Megantara, Ahmad Akrom, R. A. Pramunendar, D. P. Prabowo, Puri Sulistiyawati

{"title":"Implementation Of ETL E-Commerce For Customer Clustering Using RFM And K-Means Clustering","authors":"F. Alzami, Fikri Diva Sambasri, Rifqi Mulya Kiswanto, Rama Aria Megantara, Ahmad Akrom, R. A. Pramunendar, D. P. Prabowo, Puri Sulistiyawati","doi":"10.24843/jim.2022.v10.i03.p05","DOIUrl":"https://doi.org/10.24843/jim.2022.v10.i03.p05","url":null,"abstract":"E-commerce is the activity of selling and buying goods through an online system or online. One of the business models in which consumers sell products to other consumers is the Customer to Customer (C2C) business model. One of the things that need to be considered in this business model is knowing the level of customer loyalty. By knowing the level of customer loyalty, the company can provide several different treatments to its customers so that they can maintain good relations with customers and can increase product purchase revenue. In this study, the author wants to segment customers on data in E-commerce companies in Brazil using the K-Means clustering algorithm using the RFM (Recency, Frequency, Monetary) feature. There are also several ETL stages of research that must be carried out, namely taking data from the open public data site (Kaggle), which consist of more than 9 tables (extract), then merging the data to select some data that needs to be used (transform and load), understanding data by displaying it in graphic form, conducting data selection to select features / attributes. which is in accordance with the proposed method, performs data preprocessing, and creates a model to get the cluster. Based on the results of the research that has been done, the number of clusters is 4 clusters with the evaluation value of the model using the silhouette score is 0.470.","PeriodicalId":32334,"journal":{"name":"Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45159580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of Kernel Support Vector Machine in Predicting Judges' Decisions at the Bekasi District Court 核支持向量机在Bekasi地方法院法官判决预测中的比较

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2022-12-28 DOI: 10.24843/jim.2022.v10.i03.p03

Harry Dwiyana Kartika, Getah Ester Hayatulah, A. Khumaidi

{"title":"Comparison of Kernel Support Vector Machine in Predicting Judges' Decisions at the Bekasi District Court","authors":"Harry Dwiyana Kartika, Getah Ester Hayatulah, A. Khumaidi","doi":"10.24843/jim.2022.v10.i03.p03","DOIUrl":"https://doi.org/10.24843/jim.2022.v10.i03.p03","url":null,"abstract":"Proses persidangan suatu perkara pidana di Pengadilan Negeri Bekasi pada tahun 2019-2021 dengan rata-rata lama proses yang diperlukan untuk memutuskan perkara oleh hakim adalah 65-an hari. Pada penelitian ini mengusulkan penggunaan machine learning sebagai alat bantu untuk mempercepat keputusan hakim. Kasus tindak pidana berdasarkan jenis acara pidana dibagi menjadi 3 jenis yaitu pidana biasa, pidana singkat, dan pidana cepat. Data penelitian yang digunakan adalah jenis acara pidana biasa dengan status perkara minutasi yang dipublikasikan sebanyak 1.642 kasus. Proses pengolahan data mengunakan python dengan preprocessing data case folding, remove punctuation, tokenization dan removal stopword kemudian untuk pembobotan kata menggunakan TF-IDF. Untuk memprediksi putusan lama pemidanaan menggunakan pendekatan klasifikasi Support Vector Machine. Sebelum pemodelan dilakukan splitting data dengan perbandingan 80:20 dan hasil perbandingan pemodelan klasifikasi menggunakan SVM dengan 4 kernel yaitu linear (89,4%), RBF (88,4%), sigmoid (88,4%), dan polynomial (89,1%). Kernel SVM terbaik adalah kernel linear dengan nilai akurasi sebesar 89,4% dan nilai error sebesar 10,6%.","PeriodicalId":32334,"journal":{"name":"Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46498645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Penetration Testing on the SISAKTI Application at Udayana University Using the OWASP Testing Guide Version 4 在Udayana大学使用OWASP测试指南版本4对SISAKTI应用程序进行渗透测试

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2022-12-28 DOI: 10.24843/jim.2022.v10.i03.p04

Reyhan Todo, Noer Yamin, Made Agus, D. Suarjaya, Putu Agus, E. Pratama

引用次数: 0

Handwritten Balinese Script Recognition on Palm Leaf Manuscript using Projection Profile and K-Nearest Neighbor 基于投影轮廓与k近邻的棕榈叶手写体巴厘文字识别

Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi Pub Date : 2022-12-28 DOI: 10.24843/jim.2022.v10.i03.p02

Ni Putu Sutramiani, I. W. A. S. Darma, D. M. S. Arsa

{"title":"Handwritten Balinese Script Recognition on Palm Leaf Manuscript using Projection Profile and K-Nearest Neighbor","authors":"Ni Putu Sutramiani, I. W. A. S. Darma, D. M. S. Arsa","doi":"10.24843/jim.2022.v10.i03.p02","DOIUrl":"https://doi.org/10.24843/jim.2022.v10.i03.p02","url":null,"abstract":"This paper presents a simple approach to the handwritten Balinese script characters recognition in palm-leaf lontar manuscripts. The Lontar manuscript is one of the cultural heritages found in Bali. Lontar manuscripts are written using a pengrupak, which is a kind of knife for writing on palm leaves. To give color to the results of the writing, candlenut is used so that the writing appears clear. In this paper, we apply the projection profile at the segmentation stage to get the handwritten Balinese script characters in the lontar manuscript. The palm leaf manuscript that we use is the Wariga Palalubangan palm leaf. The recognition process is carried out by implementing K-Nearest Neighbor in the recognition process. The recognition was made on the Wianjana script obtained from lontar manuscripts using 720 images consisting of 18 classes as dataset training. The test results showed that the level of recognition accuracy was obtained by 52% in the characters of handwritten Balinese scripts derived from lontar manuscripts and 92% in the characters of handwritten Balinese scripts on paper.","PeriodicalId":32334,"journal":{"name":"Jurnal Ilmiah Merpati Menara Penelitian Akademika Teknologi Informasi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43803664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0