cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Yuni Wibawanti
Contact Email
stringinformatika@gmail.com
Phone
+6281617239740
Journal Mail Official
stringinformatika@gmail.com
Editorial Address
Prodi Teknik Informatika FTIK Universitas Indraprasta PGRI Jl. Raya Tengah Kelurahan Gedong , Pasar Rebo, Jakarta Timur
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
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
Sistem Pakar untuk Mendiagnosa Gangguan pada Sistem Endokrin Berbasis Android Mobile Irawan Setiadi; Imam Himawan; Kevin Septianzah
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.v8i1.16491

Abstract

This research discusses how to design an expert system that can be used to diagnose disorders of the endocrine system based on the symptoms suffered by the patient, so that there are advice on the problems encountered by the user. The objective is to assist prospective doctors, general practitioners and specialists in diagnosing disorders of the endocrine system like an expert, to provide information quickly, and to create an interactive application that can be easily understood by the users. The expert system is created using the Best-First Search method and using the Forward Chaining technique. The system contains the knowledge of an expert obtained during research at Permata Ibu Hospital and a knowledge base designed to be able to store new diseases. The expert system is developed based on smartphone technology or more specifically Android on the client side, PHP (Hypertext Preprocessor) and MySQL base on the server side. The system contains 6 disease data and 10 disease symptom data. It also has been tested and validated by experts and several users. The result reaching a percentage of 83.3% shows that the expert system application is quite efficient and effective.
Analisis Pengaruh Reward Terhadap Kinerja Karyawan dan Penentuan Bobot Skala Prioritas Reward Faza Adhima Suratman; Risma Fitriani
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.v8i1.16068

Abstract

The development of globalization in this era makes the element of human resources crucial for companies. Thus, it is necessary for companies to provide motivation and enthusiasm to employees, one of which is through rewards. PT. XYZ is a company engaged in manufacturing by making vehicle paint. The problem at PT XYZ is the low employee performance due to the lack of rewards for high-performing employees. The objective of this research is to determine the effect of extrinsic and intrinsic rewards on employee performance using multiple linear regression analysis and the priority of reward criteria using the Analytical Hierarchy Process (AHP) method. The results show that intrinsic and extrinsic rewards simultaneously affect the performance of PT. XYZ employees. The extrinsic reward variable does not significantly affect the performance of PT. XYZ employees. The intrinsic reward variable significantly affects the performance at PT. XYZ employees. Next, the results of the determination of reward priority score indicate that self-development criteria is the most expected reward criteria by employees, with a priority score of 0.39 or 39%. 
Pengukuran Kinerja Operasional Perusahaan Meubel Berdasarkan Konsep Green Manufacturing untuk Mewujudkan Keberlanjutan Proses Evi Yuliawati; Septian Dwi Prasetyo
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.v8i1.16382

Abstract

The rapid development of the industrial sector encourages the emergence of environmental issues, especially the global warming. The phenomenon occurs because of many factors. The most common factor is the manufacturing industry which mostly utilizes natural resources and non-renewable energy. In an observation made on Meuble Company XXX, there are flaws in waste management during its production process. Scattered wooden wastes are visible in the production area and there are no major attempts to reduce the production process’ impact on surrounding air pollution. Based on the observation, this research attempts to determine Meuble Company XXX’s operational capability based on indicators of Green Manufacturing in accordance with The Organization for Economic Co-operation and Development’s (OECD). The research result indicates two indicators, namely waste intensity and air pollution intensity need further evaluation that the company can apply the green manufacturing concept better. The result also shows there are 6 indicators with null score, meaning the company does not use natural resources or non-renewable energy during those processes and there is no negative impact on the environmentt. Based on results, it can be concluded that the operational performance of Company Meuble XXX on Green Manufacturing is in Advance category.
Penerapan Metode Six Sigma dalam Upaya Mengurangi Cacat pada Produk Cap Flip Top Okta Tri Wulandari; Widya Setiafindari
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.v8i1.16562

Abstract

PT X is a company engaged in manufacturing bottle caps such as cap flip top ?50-8 white snap on products. In the production process at PT X in August 2022, there is a problem related to the level of defects in the cap flip top ?50-8 white snap products which increases and exceeds the regulatory limit (5%), reaching 10% or 65,707 units of the total production of 658,000 units. Based on the problem of the high percentage of defects, it is necessary to carry out a quality control using six sigma to determine the level of defects that occur, to look for factors affecting the highest defects and to provide suggestions for improvements. From the results of the analysis using six sigma, it is found that the highest level of defects, namely the type of black spot defects, is 45,413 pcs with a percentage of 69.11% and the average sigma value obtained is 3,022. Next, the results of the fishbone diagram   analysis show that the factors causing black spot defects are machines, materials, humans, media, and methods. From each of these causal factors, improvement can be given using 5W + 1H to reduce black spot defects that occur in the cap flip top ?50-8 white snap on in the next production process.
Pengendalian Persediaan Bahan Baku Berdasarkan Klasifikasi ABC dan Model Q Luqi Aditya; Jauhari Arifin
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.v8i1.16077

Abstract

PT. KWP is a manufacturing company that produces rotating equipment and manufacture tool components. When producing the products, the company needs at least 30 kinds of raw materials. The company, in the process of procuring raw materials, has not so far carried out a critical item analysis of this type of raw material inventory. This can cause problems when there is an urgent request in determining the type of raw material prioritized to be procured first. The company also often overstocks some of the raw materials they use. The purpose of this study is to provide a solution regarding raw material inventory management in the form of using ABC analysis in classifying raw materials and comparing the total inventory cost of existing conditions and the Q back order model. Based on the results of a study show that from the ABC analysis, there are 6 raw materials for A category, 6 raw materials for B category, and 18 raw materials for C category at PT. KWP. Raw materials with category A are those that need to be prioritized first.Then, the use of Q back order model shows the total inventory cost is lower compared to the company's existing conditions, with raw materials in category A totally providing 12% cost savings of Rp.59,152,456.
Perbandingan Evaluasi Metode Davies Bouldin, Elbow dan Silhouette pada Model Clustering dengan Menggunakan Algoritma K-Means Muhammad Sholeh; Khurotul Aeni
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.v8i1.16388

Abstract

One of data mining model that is often used is the clustering model. The clustering model is used to create a grouping of a datasheet. Data clustering can be used to distinguish data in a datasheet.  Many of the best groupings can be done with the clustering model evaluation process. In the clustering method, the evaluation process can use various evaluation methods. The research will cluster the results of a survey on reviews of tourist destinations consisting of 10 categories. The method used is a data mining method, namely Knowledge Discovery in Database (KDD). Stages in KDD include data selection, data cleaning, transformation, data mining process and evaluation of model results. The process of creating a clustering model uses a public datasheet, namely tripadvisor_review.csv.  The data clustering process uses the K-means algorithm. The result of the clustering will be tested by comparing evaluation methods. This evaluation method is used to select the best amount of clustering. Testing to get the best clustering results is conducted by testing from clustering 2 to 15. The evaluation uses Davies Bouldin, Elbow and Silhouette methods. The result shows that the number of datasheet groupings with the three evaluation methods provides recommendations for grouping as many as 2 groups. 
Perbandingan Optimizer Adagrad, Adadelta dan Adam dalam Klasifikasi Gambar Menggunakan Deep Learning Shedriko Shedriko; Muhammad Firdaus
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.v8i1.16564

Abstract

Image recognition technology has developed rapidly in recent times. There are many methods springing up in its use. One of them is the Convolutional Neural Network (CNN) as used in this research. The method is used to detect image patterns from the shape of the arrangement of the fingers of one hand as a signal from the identification of the numbers 0 to 9 in SIBI (Indonesian Sign Language System). The problem of the research is that many optimizers emerge in a deep learning method. Therefore, selecting the right optimizer itself is a challenge that can be used as the next reference for input images that do not go through the previous pre-processing stage. The aim of the research is to get the best accuracy score from the comparison of 3 optimizers and their relations to processing time. The conclusion obtained shows that AdaDelta optimizer that has existed for a long time can provide better results than Adam which is the development of the last optimizer.
Analisis Perawatan Mesin Injection dengan Metode RCM pada Perusahaan Manufaktur Allysa Alsakina; Ade Momon
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.v8i1.16089

Abstract

At present, industrial companies, especially those engaged in the automotive manufacturing sector, are required to work effectively and efficiently. This research reviews the maintenance of mold machines, which are the main tools in the production process. The maintenance of this machine is very important. The problem that often occurs is in 550T injection engine which often experience a breakdown. Therefore, this research analyzes and plans more optimal maintenance by utilizing a system and applying the Reliability Centered Maintenance method. The research takes data from six engine components that are often damaged. Of the six components, the most critical ones are the clamping toggle, the nozzle, and the piston injection. The results of the research recommend maintenance inspections of the Finding Direction (FD) category that are performed daily, weekly, and monthly. In addition, in the Time Directed (TD) category, maintenance is provided based on a component replacement schedule in accordance with predetermined replacement intervals.
Analisis Faktor-faktor yang Mempengaruhi Kinerja Karyawan di Unit Customer Care dan Customer Service Relationship PT. XYZ Novita Sianipar; Aulia Fashanah Hadining
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.v8i1.16460

Abstract

Employees play an important role in running a company's operation. Their performance can determine whether or not a company can operate efficiently. There are a number of aspects that can affect employee performance in a company, two of which are QualityiofiWorkiLife and Job Satisfaction. This research is aimed at examining the effect of Quality of Work Life and Job Satisfaction on employee performance at PT. XYZ. The sample is obtained using purposive sampling method, in which all members of the employees in the Customer Care and Customer Service Unit of PT. XYZ participate as respondents, with a total of 10 respondents. The method used in data processing is Multiple Regression test. The t-test result for the QualityiofiWorkiLife (X1) variable is 2,948 and for the Employee Performance (Y) variable is 2,821, which is greater (>) than the t-table value of 2,365. Meanwhile, the calculated f-test result is 133,763, which is greater (>) than the F-table value of 4,46. This indicates that there is an influence between Qualityi ofiWorkiLife and Job Satisfaction on Employee Performance at PT. XYZ, both partially and simultaneously
Sistem Pakar Diagnosis Awal Penyakit Anemia Menggunakan Metode Naïve Bayes dan Certainty Factor Yustika Maulina; Aris Gunaryati; Rima Tamara Aldisa
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.v8i1.16468

Abstract

In Indonesia, anemia is a common blood disorder. The absence of red blood cells in the body can cause the disease. The large number of people who still ignore the early symptoms of anemia can worsen the body's condition due to delays in diagnosing the disease they are experiencing. This study will combine the Naïve Bayes and Certainty Factor methods in assisting the initial diagnosis of anemia. The Naïve Bayes method is used to determine the type of anemia a user suffers from based on the symptoms they have. After that, the system will perform a calculation using the Certainty Factor method based on the type of disease that has been determined previously to find out how much the certainty to prove that the user has anemia. A Test on the system produce an accuracy score of 93% from 60 test data.

Page 1 of 2 | Total Record : 14

 1   2 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol 10, No 1 (2025) Vol 9, No 3 (2025) Vol 9, No 2 (2024) Vol 9, No 1 (2024) Vol 8, No 3 (2024) Vol 8, No 2 (2023) Vol 8, No 1 (2023) Vol 7, No 3 (2023) Vol 7, No 2 (2022) Vol 7, No 1 (2022) Vol 6, No 3 (2022) Vol 6, No 2 (2021) Vol 6, No 1 (2021) Vol 5, No 3 (2021) Vol 5, No 2 (2020) Vol 5, No 1 (2020) Vol 4, No 3 (2020) Vol 4, No 2 (2019) Vol 4, No 1 (2019) Vol 3, No 3 (2019) Vol 3, No 2 (2018) Vol 3, No 1 (2018) Vol 2, No 3 (2018) Vol 2, No 2 (2017) Vol 2, No 1 (2017) Vol 1, No 3 (2017) Vol 1, No 2 (2016) Vol 1, No 1 (2016) More Issue