Article Per Year (5 Year)
p-Index From 2021 - 2026
1.152
P-Index
This Author published in this journals
All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Journal of Research and Technology Jurnal Nasional Komputasi dan Teknologi Informasi Infotekmesin
Prasetyanti, Dwi Novia
Unknown Affiliation
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Neuroscience Social Sciences Transportation

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Infotekmesin

 1 
Metode Economic Order Quantity dalam Sistem Bandar Barang Bekas (SiBandar) Vikasari, Cahya; Purwanto, Riyadi; Prasetyanti, Dwi Novia
Infotekmesin Vol 14 No 2 (2023): Infotekmesin: Juli, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i2.1937

Abstract

Junk goods are no longer piles of worthless goods for businessmen who are keen to see the economic value by taking this opportunity by becoming a pelapak company to buy and sell junk goods purchased from collectors to be sold to buyers. The problems found with Pelapak include the manual recording of sales administration which has the potential to cause recording errors. Pelapak does not know for sure the stock of junk they own and those owned by collectors because the locations of the collectors are far apart. Orders of junk goods between pelapak and collectors are still via telephone so pelapak does not know which collectors are in the process of sending goods. Problems also occur on the part of collectors including unprofessional sales transactions. Based on these problems, a used goods stock management system is needed using the Economic Order Quantity (EOQ) method. The purpose of this study is to build a used goods stock management information system that can monitor the availability of used goods owned by collectors and pelapak. System development uses the prototype method and designs with concepts. The results of the research are that the system created can help find out the stock and the amount in each collector, recap sales reports, provide accurate information, facilitate business transactions and fulfill sales targets to buyers.
Perbandingan Kinerja Antara Gatling dan Apache JMeter pada Uji Beban RESTful API Abda'u, Prih Diantono; Susanto, Agus; Supriyono, Abdul Rohman; Prasetyanti, Dwi Novia
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.2176

Abstract

This research explores and compares the performance of two popular load testing tools, namely Gatling and Apache JMeter, with a focus on API performance testing. The rapid growth in web and mobile application development highlights the urgent need to ensure optimal API performance. This research was conducted to provide in-depth insight into the advantages and disadvantages of these two testing tools through the use of similar testing scenarios. The experimental method involves implementing test scenarios that include load variations and high demands on both devices. The main parameters observed include API response time, throughput, and latency. In-depth analysis was carried out on the data obtained to evaluate the reliability and efficiency of each tool. The results of this research provide a comprehensive understanding of the performance of Gatling and Apache JMeter in the context of API performance testing. These findings can provide practical guidance for software developers and testing practitioners in selecting load testing tools that suit their project needs. Recommendations for future research include expanding exploration of other load testing tools, comparison with more complex test scenarios, and integration with performance monitoring tools for more holistic analysis. Thus, this research is expected to make a significant contribution to the understanding and selection of effective load testing tools in web and mobile application development.
Klustering Data Mahasiswa Menggunakan Metode K-Means Sebagai Acuan dalam Penentuan UKT Mahasiswa Prasetyanti, Dwi Novia; Riyadi Purwanto; Cahya Vikasari; Rostika Listyaningrum
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2360

Abstract

Determining Uang Kuliah Tunggal/UKT for new students is important in Penerimaan Mahasiswa Baru/PMB process after PMB selection process. The determination of UKT groups by The PMB committee at Politeknik Negeri Cilacap is carried out one by one by looking at the economic data of new students. This condition has become a special problem due to the increase in PMB quotas in the PNC, so it requires alternative solutions that can be used as one of the benchmarks in the determination of a new student UKT group in PNC. The researchers used clustering with features that represent the economic conditions of new students with the K-means method to provide alternative solutions. The result of using the K-Means method in clustering, yielding a performance value for the number of clusters 8 of 1669,283, with the highest number of cluster members in cluster members in cluster 4 being 72 out of 275 data. The Elbow method test results to determine the best number of clusters resulting in 4 cluster with a performance value of 2462,003.
Co-Authors Abda'u, Prih Diantono Agus Susanto Annas Setiawan Prabowo Cahya Vikasari Cahya Vikasari, Cahya Dodi Satriawan, Dodi Fauziah, Dini Nur Isa Bahroni, Isa Listyaningrum, Rostika Lutfi Syafirullah Mahardika, Fajar Pramita, Ayu Prihantara, Andesita Rahadi, Nur Wahyu Riyadi Purwanto Rostika Listyaningrum Supriyono, Abdul Rohman