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STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Published by Universitas Indraprasta PGRI
ISSN : 25279661     EISSN : 25492837     DOI : http://dx.doi.org/10.30998/string.v4i3.6197
Core Subject : Science, Education,
Computer Science & IT Mathematics
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) focuses on the publication of the results of scientific research related to the science and technology. STRING publishes scholarly articles in Science and Technology Focus and Scope Covering: 1. Computing and Informatics 2. Industrial Engineering 3. Electrical Engineering 3. Mechanical Engineering 4. Applied Mathematical 5. Physics (Classical and modern) 6. Mathematics and Science
Arjuna Subject : Ilmu Komputer (semua kategori) - Teori Komputasi dan Matematika
Articles 14 Documents
 1   2 
Search results for , issue "Vol 8, No 1 (2023)" : 14 Documents clear
Pemanfaatan Software Heat Transfer Research Inc. (HTRI) dalam Perancangan Double-Pipe Heat Exchanger Ronald Akbar
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 8, No 1 (2023)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v8i1.16098

Abstract

The design of a double-pipe heat exchanger has been carried out. This study aimed to compare the overall heat transfer coefficient from the double pipe heat exchanger design with the HTRI software output results. The overall heat transfer coefficient value in the manual calculation process is 221.53 W/m2K. The design process with HTRI software was carried out by inputting data from design cases into the software. From the running results, the overall heat transfer coefficient is 213.58 W/m2K. The results compared to produce a deviation of 3.67%. The results of this deviation are considered very good because it is far below the deviation value targeted in this study, which is .  The HTRI software is beneficial as a validation tool and a complement to the heat exchanger design process.
Analisis Performa ResNet-152 dan AlexNet dalam Klasifikasi Jenis Kanker Kulit Tommy Saputra; Muhammad Ezar Al-Rivan
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 8, No 1 (2023)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v8i1.16464

Abstract

Skin cancer is a dangerous disease. The most common skin cancers in Indonesia is melanoma. Melanoma cases reached 9,6 million in 2018. Skin cancer can be cured with proper and quick treatment. Skin cancer early detection can be done by detection system types of skin cancer based on benign and malignant classes using Convolutional Neural Network (CNN) with ResNet-152 and AlexNet architecture. The data are taken from the 2019 International Skin Imaging Collaboration (ISIC) archives. The optimizer algorithms used are Adaptive Moment Estimation (Adam) and Mini-Batch Gradient Descent (MBGD). The result of the research indicates that ResNet-152 architecture using MBGD optimizer gives the best result with an accuracy of 87.85%
Sistem Pakar Diagnosis Penyakit Kulit Balita Menggunakan Metode Certainty Factor dan Forward Chaining Guon Fernando Tarimakase; Aris Gunaryati; Sari Ningsih
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 8, No 1 (2023)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v8i1.16469

Abstract

When someone has very weak immunity level, they can develop skin problems. Children, especially babies and toddlers, are prone to skin problems because their immune systems are not fully developed. Developing an application that can help users to be able to diagnose skin diseases in toddlers, especially skin diseases Diaper Rash, Prickly Heat, Chicken Pox, Measles, Eczema, and Impetigo is needed according to needs. This study uses the Forward Chaining inference engine and the Certainty Factor certainty method. The goal is to make an application that can help the experts to get information and solutions about skin diseases in toddlers, as well as to provide accurate presentations about the disease. In the development of this system, the resulted level of accuracy is in accordance with the diagnosis expert, which is equal to 83.33% of 30 medical record data
Perencanaan Pengadaan Bahan Baku Karoseri Menggunakan Metode Material Requirements Planning Fitriana Fitriana; Winarno Winarno
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 8, No 1 (2023)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v8i1.16330

Abstract

One part of the company's operational process is a production process, which is is the core activity of a manufacturing company. In the production process, a company takes a resource in the form of raw materials to be processed into products. The problems that often occur are a shortage and excess of raw material inventory. The company is required to be able to solve these problems so that the production process runs effectively and efficiently. Therefore, it is necessary for the company to have a method of planning and controlling raw material inventory to determine the right time for ordering and minimizing inventory costs. The method used is the forecasting method with linear regression analysis and material requirements planning with lot-sizing techniques: lot for lot, economic order quantity, and period order quantity. The results show that the average product demand forecast per month is 85 units. Then, the lot-sizing techniques that produce the lowest cost are the lot for lot technique and the period order quantity with a total cost of Rp. 11,524,753.

Page 2 of 2 | Total Record : 14

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