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All Journal Indonesian Journal of Information System IJEEIT : International Journal of Electrical Engineering and Information Technology Prosiding Seminar Informasi Kesehatan Nasional
Long, Zalizah Awang
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Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Education Electrical & Electronics Engineering Health Professions Medicine & Pharmacology Nursing Public Health

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System Dynamic Analysis of the Fleet Availability and Reliability Influence on the Lead Time of the Delivery Order Process Windyaningrum, Theresia Liris; Indrawati, Chatarina Dian; Long, Zalizah Awang; Prasetyo, Vinsensius Widdy Tri; Waloyo, Lorensius Anang Setiyo; Murdapa, Petrus Setya
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7049

Abstract

The inventory replenishment process in the warehouse becomes difficult if there is uncertainty. It can cause warehouse performance not to be as expected. The warehouse is an important part of the supply chain subsystem, which smooths the flow of goods from upstream to downstream throughout the system. This paper uses system dynamics modeling to analyze the replenishment of raw materials where there is randomness in availability and reliability and their effects on the delivery lead time of the fleet. The model obtained is much simpler but more robust when compared to the analytical-mathematical model or the discrete-events simulation. Tests on the model show that the model can behave as it should logically. Several experiments were conducted to see how fleet availability's reliability can affect the delay in receiving or delivery lead time. One interesting thing revealed is that reliability does not have to be 100%, but there is a certain minimum threshold for the system to perform well. This is different from availability, which must be 100%.
Determining the Factors that Influence e-Marketplace Selection from Seller’s Perspective Using a Binary Logistic Regression Model Purwanto, Eko; Mohd, Farahwahida binti; Long, Zalizah Awang; Purnomo, Singgih
IJEEIT : International Journal of Electrical Engineering and Information Technology Vol 7 No 1 (2024): March 2024
Publisher : NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/ijeeit.v7i1.2642

Abstract

The rapid development of information and communication technology influences changes in aspects of life in the economic sector. The application of information and communication technology supports business development. The development of the internet has become a technology that makes business activities such as marketing and sales easier. The growth of internet users in Indonesia reached 78% of the total population. E-commerce users in Indonesia reach 34.10% of all business people in Indonesia. One place to sell online is through e-marketplace. Many e-marketplaces require sellers to select e-marketplaces as a place to sell their products online. Each e-marketplace has different characteristics, so you must consider many factors when choosing an e-marketplace. In this research, it is known that two factors are formed based on factor analysis, namely the Product Quality Factor, the Service and Quality Factor, and the System Factor. In addition, the market selection model was determined using binary logistic regression analysis. The model formed in this research is the e-marketplace selection model Tokopedia, Shopee, and Lazada. Based on the results of the feasibility model using binary logistic regression, it produces an overall e-marketplace selection model with an accuracy level of 76.13%. This evaluation model can be used by sellers who want to choose a market that suits the products offered to increase profits.
PENGEMBANGKAN MODEL EKSTRAKSI REGION OF INTEREST SECARA OTOMATIS PADA CITRA CT-SCAN Widodo, Sri; Faizuddin, Mohammad; Long, Zalizah Awang
Prosiding Seminar Informasi Kesehatan Nasional 2023 : SIKesNas 2023
Publisher : Fakultas Ilmu Kesehatan Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/sikenas.vi.2871

Abstract

Kanker paru adalah pertumbuhan sel kanker yang tidak terkendali dalam jaringan paru. Akhir-akhir ini banyak peneliti yang telah menerapkan deep learning, khususnya Convolution Neural Network (CNN) untuk klasifikasi kanker paru. Proses deteksi kanker paru didahului dengan tahapan ekstraksi Region Of Interest (ROI). Ekstraksi ROI dalam deteksi kanker paru terdiri dari dua kegiatan, yaitu segmentasi bidang paru dan operasi segmentasi kandidat kanker paru. Sebagian besar penelitian tentang deteksi kanker menggunakan CNN, proses ekstraksi ROI dilakukan secara manual dengan melakukan kroping. Proses ini sulit dilakukan, khususnya dalam mensegmentasi bidang paru, yaitu memisahkan area paru dengan jaringan di sekitarnya. Jika kelainan tersebut besar dan terletak pada batas tepi paru, menyebabkan batas tepi paru tidak jelas, sehingga jika dilakukan segmentasi, citra yang dicurigai sebagai kanker tidak akan masuk dalam citra paru (bagian paru yang terdapat kanker akan hilang). Sehingga segmentasi bidang paru dianggap gagal. Penelitian yang diusulkan bertujuan untuk mengembangkan model ekstraksi Region Of Interest (ROI) secara otomatis menggunakan metode Active Shape Model dan Mathematical Morphology pada citra CT-Scan. Penelitian yang diusulkan terdiri dari dua tahapan, yaitu, segmentasi bidang paru menggunakan metode Active Shape Model (ASM) dan segmentasi kandidat paru menggunakan metode Mathematical Morphology. Hasil segmentasi paru dengan metode Active Shape Model mempunyai akurasi 97,2.8%, sensitifitas 96%, dan spesifisitas 97.4%. Sedangkan hasil segmentasi kandidat kanker paru dengan metode marfologi mempunyai akurasi 99,4%, sensitifitas 96,2%, dan spesifisitas 99.7%.
System Dynamic Analysis of the Fleet Availability and Reliability Influence on the Lead Time of the Delivery Order Process Windyaningrum, Theresia Liris; Indrawati, Chatarina Dian; Long, Zalizah Awang; Prasetyo, Vinsensius Widdy Tri; Waloyo, Lorensius Anang Setiyo; Murdapa, Petrus Setya
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7049

Abstract

The inventory replenishment process in the warehouse becomes difficult if there is uncertainty. It can cause warehouse performance not to be as expected. The warehouse is an important part of the supply chain subsystem, which smooths the flow of goods from upstream to downstream throughout the system. This paper uses system dynamics modeling to analyze the replenishment of raw materials where there is randomness in availability and reliability and their effects on the delivery lead time of the fleet. The model obtained is much simpler but more robust when compared to the analytical-mathematical model or the discrete-events simulation. Tests on the model show that the model can behave as it should logically. Several experiments were conducted to see how fleet availability's reliability can affect the delay in receiving or delivery lead time. One interesting thing revealed is that reliability does not have to be 100%, but there is a certain minimum threshold for the system to perform well. This is different from availability, which must be 100%.
Co-Authors Chatarina Dian Indrawati Eko Purwanto Faizuddin, Mohammad Mohd, Farahwahida binti Petrus Setya Murdapa Prasetyo, Vinsensius Widdy Tri Singgih Purnomo Sri Widodo Theresia Liris Windyaningrum Waloyo, Lorensius Anang Setiyo