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Penerapan Metode Simple Additive Weighting (SAW) dan Tabel Keputusan pada Sistem Pendukung Keputusan Menentukan Tingkat Punishment Siswa Bermasalah Purwanto, Riyadi; Novia Prasetyanti, Dwi; Hafsarah Maharrani, Ratih; Syafirullah, Lutfi
Infotekmesin Vol 12 No 2 (2021): Infotekmesin: Juli 2021
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v12i2.780

Abstract

RETRACTED Following a rigorous, carefully concerns and considered review of the article published in Infotekmesin to article entitled “Penerapan Metode Simple Additive Weighting (SAW) dan Tabel Keputusan pada Sistem Pendukung Keputusan Menentukan Tingkat Punishment Siswa Bermasalah ” Vol 12, No 2, pp.115-121, July 2021, DOI: https://doi.org/10.35970/infotekmesin.v12i2.780 This paper has been retracted at the request of the author of this article because by mistake the same article has been published in another journal publisher. The article contained redundant material, the paper published in Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - iCAST-ES, ISBN 978-989-758-615-6; ISSN 2975-8246, pages 1194-1202. DOI: 10.5220/0010962300003260, The document and its content has been removed from Infotekmesin, and reasonable effort should be made to remove all references to this article.
Performance Evaluation and Optimization of an IoT-Based Fish Smoking Monitoring System for Ensuring Product Quality Syafirullah, Lutfi; Mahardika, Fajar; Purwanto, Riyadi; Prasetyanti, Dwi Novia
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15736

Abstract

Fish smoking is a widely used preservation method; however, the quality of smoked fish is highly dependent on the stability of temperature, humidity, and smoking duration. Manual control of these parameters has limitations and may reduce product quality. Existing studies on fish smoking monitoring systems primarily focus on temperature control without providing quantitative evaluation of how multi-parameter process stability affects product quality and shelf life. This study aims to design and implement an Internet of Things (IoT)-based monitoring system for fish smoking equipment to ensure the quality of smoked fish. The research method used is Research and Development (R&D), which includes needs analysis, system design, development, testing, and evaluation stages. The system integrates temperature and humidity sensors, a microcontroller, and an IoT platform for real-time monitoring. The test results show that the system is capable of monitoring the smoking chamber temperature within a range of 60–80 °C with an average error of ±1.5 °C compared to a standard measuring instrument, and maintaining an optimal temperature of 70 °C during the smoking process. Quality testing of the smoked fish indicates uniform doneness, a golden-brown color, firm texture, and an average moisture content reduction of 35%. Shelf-life testing shows that the smoked fish can last up to 7–10 days at room temperature and up to 21 days under cold storage without significant changes in aroma and texture. Unlike previous works, this study provides quantitative evidence that improved stability of multiple smoking parameters through IoT-based monitoring significantly enhances product quality consistency and extends the shelf life of smoked fish.
UTILIZATION OF EXTREME PROGRAMMING IN VILLAGE ADMINITRATION SYSTEMS TO REALIZE VILLAGE INDEPENDENCE Mahardika, Fajar; Syafirullah, Lutfi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.7573

Abstract

In the age of digital transformation, rural communities are increasingly exploring innovative methods to improve their administrative systems, strengthen governance, and achieve self-sufficiency. This paper examines the use of Extreme Programming (XP) techniques in developing and implementing Village Administration Systems (VAS) to promote village independence. XP, which focuses on iterative development, continuous feedback, and collaborative design, provides a flexible approach to tackle the unique challenges faced by village administrations, such as limited resources, diverse user needs, and varying digital literacy levels. By applying XP principles—such as continuous integration, collective ownership of code, and customer collaboration—this method enables the creation of adaptive, user-focused systems that can evolve according to community needs. Through real-time stakeholder feedback, the system can be refined to improve local governance, increase transparency, and ensure efficient resource management. The paper also explores how XP practices, including pair programming and frequent releases, help develop scalable and reliable solutions for rural areas. By fostering collaboration among local leaders, developers, and citizens, the system can empower village administrations to independently manage resources, reduce reliance on external support, and strengthen local capabilities. Ultimately, this paper aims to show how applying Extreme Programming to Village Administration Systems can enhance ownership, self-reliance, and contribute to sustainable rural development and village independence