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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA INTEK: Informatika dan Teknologi Informasi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Infotekmesin Jurnal E-Komtek Journal of Innovation Information Technology and Application (JINITA) Jurnal Pengabdian Teknologi Tepat Guna Jurnal Riset Teknik Komputer
Prih Diantono Abda`u
Politeknik Negeri Cilacap
Religion Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Other

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Journal : Infotekmesin

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Implementasi Metode Waterfall dalam Sistem Informasi Knowledge Management untuk Digital Marketing Nur Chasanah; Prih Diantono Abda’u; Muhammad Nur Faiz
Infotekmesin Vol 12 No 1 (2021): Infotekmesin: Januari 2021
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v12i1.363

Abstract

The development of digital technology directs organizations to be able to cultivate knowledge as an asset that can help its business activities. Knowledge management is considered necessary to be implemented in organizations involving many stakeholders. The implementation of annual management needs to be implemented by involving the utilization. This research was conducted to implement knowledge management in organizations that involve many knowledge assets in the business process, especially related to digital marketing activities. The purpose of this research is to identify organizational knowledge and produce knowledge sharing media systems. This research uses waterfall method in the development of its system so that the result of this research is a knowledge management information system that facilitates knowledge sharing activities that have been identified and can facilitate users in finding data, information and knowledge that is useful in fostering innovations related to digital marketing in the organization.
Penerapan Metode Waterfall Pada Aplikasi Tracer Study Berbasis Website Alina Mei Cahyaningtyas; Riyadi Purwanto; Prih Diantono Abda’u3
Infotekmesin Vol 13 No 2 (2022): Infotekmesin: Juli, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i2.1551

Abstract

Tracer study is a method used by several Vocational High Schools (SMK) to collect alumni data and monitor alumni progress. The problem is in monitoring the alumni who do not only stay in Cilacap but outside of the city as well. Moreover, the data collection method is still simple by only using a questionnaire form filled out when they take their diplomas. This condition is less effective because many alumni are still looking for a job, therefore it is difficult to check up on them all the time. This study aims to create a tracer study application using the waterfall method. The testing phase uses the Blackbox testing method. Based on the test results, the application can make it easier for BKK administrators to collect alumni data and help monitor the alumni progress by checking the percentage of alumni status and making it easier for alumni to fill out questionnaires. The results of the overall usability test conducted on 30 respondents resulted in the predicate "Very Good" with an average of 85.51%.
Perbandingan Kinerja Antara Gatling dan Apache JMeter pada Uji Beban RESTful API Prih Diantono Abda'u; Agus Susanto; Abdul Rohman Supriyono; Dwi Novia Prasetyanti
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.
Co-Authors Abdul Rohman Supriyono Adrian Putra Ramadhan Agus Susanto Agus Susanto Alina Mei Cahyaningtyas Andesita Prihantara Annas Setiawan Prabowo Antonius Agung Hartono Ari Kristiningsih Berliana Nafarita Hapshakh Cahya Vikasari Diva Nur Vadia Dwi Novia Prasetyanti Hety Dwi Astuti Hety Dwi Hastuti Khoeruddin Wittriansyah Muhammad Nur Faiz Nur Chasanah Nur Wachid Adi Prasetya Nur Wahyu Rahadi Oman Somantri Ratih Hafsarah Maharrani Ratih Hafsarah Maharrani Riyadi Purwanto Santi Purwaningrum Santi Purwaningrum Zaenurrohman Zaenurrohman