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All Journal JURNAL SISTEM INFORMASI BISNIS MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Format : Jurnal Imiah Teknik Informatika Applied Information System and Management Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI Generation Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) ABIDUMASY : Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah Research Student Jurnal Penelitian Teknologi Informasi dan Sains Journal of Artificial Intelligence and Technology Information Journal of Blockchain, Nfts and Metaverse Technology Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Mashuri, Chamdan
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Social Sciences Other

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Journal : jurnal sistem informasi bisnis

 1 
Sistem Optimasi Penjadwalan Mesin Produksi Menggunakan Metode GUPTA Berbasis Android Mashuri, Chamdan; Mujianto, Ahmad Heru; Sucipto, Hadi; Arsam, Rinaldo Yudianto
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.801 KB) | DOI: 10.21456/vol10iss1pp20-27

Abstract

Research has been carried out by developing an optimization information system for scheduling production machines by applying the Android-based GUPTA method. This android-based application is able to optimize production time, because in the android application it implements the GUPTA algorithm which uses the calculation of the comparative processing time on every machine in the company by prioritizing the smallest processing time for scheduling which aims to optimize production scheduling time, by paying attention to the value of makespan to produce product size 12 griddle, size 14 griddle, 16 size griddle, 18 size griddle and 20 size griddle so that an optimal makespan value is obtained. The GUPTA method can be used in problems with more than two machines, because this method combines the time of each process on the first and subsequent machines to find the minimum value and can only be used in pure flow shop scheduling. The advantage of this method is that it determines scheduling only on one machine group. This research resulted in an Android-based application that can schedule products to be produced by machines automatically. From the results of testing with a total of 12 pieces of production in each product with a total of 5 different sizes, the minimum value of makespan is obtained, namely 2054569 minutes with the sequence of product processing with work order 12 griddle, griddle 18, griddle 20, griddle 16, and griddle 14 The accuracy of the application test results shows 98.87% for the first time and 98.84% for the second time when compared with manual calculations.
Penerapan Algoritma Campbell Dudek Smith (CDS) untuk Optimasi Waktu Produksi Pada Penjadwalan Produksi Mashuri, Chamdan; Mujianto, Ahmad Heru; Sucipto, Hadi; Arsam, Rinaldo Yudianto
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp131-136

Abstract

Research on optimizing production time using the dudek smith campbell algorithm (CDS) in scheduling the production process aims to makepan optimization for machine operations to produce 12 size griddle products, 14 griddle sizes, 16 griddle sizes, 18 griddle sizes and 20 griddle sizes to get the makepan values. optimal. The method applied by the Campbell Dudek and Smith (CDS) algorithm, CDS is a method used in flowshop scheduling developed from Johnson's rule which is able to minimize the makespan of 2 machines arranged in series. The CDS method is very suitable for production characters who apply machine sequences to the production process. CDS produces several iterations that have the value of makespan, from those iterations, the minimum value of makespan is to determine the order of products to be produced. This research resulted in an application that can schedule products to be produced by machines automatically. From the test results with a total production of 12 pieces on each product with 6 repetitions, the minimum value of makespan is 210.12 minutes with a sequence of product works 20 pans, 18 pans, 16 pans, 14 pans, and 12 pans. Accuracy of results Application testing shows 99.99% for the first time and 99.96% for the second time when compared to manual calculations
Improving Fake News Detection Accuracy with Lexicon-based Approach and LSTM through Text Preprocessing Mashuri, Chamdan; Prastyo, Edwin Hari Agus; Hariri, Fajar Rohman
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp285-292

Abstract

Fake news detection has become a critical issue in the digital era, especially with the rapid growth of social media and online platforms. This research aims to enhance the accuracy of detecting fake news in Indonesian by developing a model using lexicon-based and Long Short-Term Memory (LSTM) approaches. The study integrates sentiment analysis with lexicon-based scoring to identify key features in news articles, while LSTM is employed to analyze sequential patterns in the data. The methods were tested on a dataset consisting of both hoax and non-hoax news collected from reliable sources. The results indicate that the hybrid model significantly improves the detection accuracy, achieving an impressive accuracy rate of 99%. This research demonstrates the potential of combining lexicon-based and LSTM approaches to overcome challenges in detecting fake news, especially in low-resource languages like Indonesian. The findings contribute to advancing the development of reliable and efficient systems for combating misinformation in the digital age.
Optimizing Adaptive Rewards Using Sugeno Fuzzy Logic in an Android Educational Game Permadi, Ginanjar Setyo; Vitadiar, Tanhella Zein; Mashuri, Chamdan
Jurnal Sistem Informasi Bisnis Vol 15, No 4 (2025): Volume 15 Number 4 Year 2025 (In Press)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss4pp480-487

Abstract

This study developed an Android-based educational game to teach children about waste management, with an adaptive reward system using Sugeno fuzzy logic. The aim of the study was to increase student motivation and engagement in environmental learning by providing rewards tailored to player performance. The development method referred to the Game Development Life Cycle (GDLC), covering the development stages up to beta testing. Media expert validation results showed good game quality in terms of visual appearance and ease of use, with an average score of 4.6/5. Material validation also showed the suitability of the material for learning objectives with a score of 4.7/5. Trials with 26 primary school students resulted in an average score of 4.6/5 for ease of use and 4.8/5 for visual appeal. The Sugeno fuzzy logic-based reward system proved effective in adjusting rewards to player performance. Test data showed that 70% of students received 3 stars, 20% received 2 stars, and 10% received 1 star. This system increased student motivation and engagement in learning. This research contributes to the development of fuzzy technology-based educational games by demonstrating the great potential of Sugeno fuzzy logic in creating adaptive reward systems that enhance learning. This game is expected to be an effective alternative in teaching waste management and can be expanded to other educational topics.
Co-Authors AA Sudharmawan, AA Abda Abda Achmad Imam Agung Adi Susanto, Adi Susanto Agus Subagio Ali Imron, Muhammad Alvin Mubarok, Muhamad Ananda Wildan Fadhlulloh Anita Andriani ANITA ANDRIANI, ANITA Ardiansyah Yudistira Putra, Rocky Aries Dwi Indriyanti, Aries Dwi Arsam, Rinaldo Yudianto Augusta Jannatul Firdaus, Reza BAMBANG SUJATMIKO Beta Setiawan Claudia Afaf Azzahrah Diah Puspita, Dwi Ratna Ayu Didiek Rusdyanto Dwi Saputra, Septian Dwi Vernanda Faizah, Arbiati Fajar Alfiansyah Fajar Rohman Hariri Gayuh Afwa Maulana Alhasy Ginanjar Setyo Permadi Hadi Sucipto Hadi Sucipto, Hadi Hari Agus Prastyo, Edwin Indana Lazulfa, Indana Kapindho Febriyanto khakim, ikhsanul Kistofer, Terdy Kristianto, Hery M. Hamzah Ulumuddin Mahfudiyanto Mahrus Ali Mahrus Ali Mauludi, Kartika Moh. Abrorul Amin Mohammad Fikri Agus Setiawan Muhammad Fatkhur Rizal Muhammad Rizal Dwiki Mujianto, Ahmad Heru Nasib Marbun Nasruddin, Hammam Pawindyanto, Aditya Danang Prastyo, Edwin Hari Agus Putra Eka Prismana, IGL Putra, Rocky Ardiansyah Yudistira Putri, Unzilla Savika Qois Al’Ariq Radityo Wiratsongko Rizal, Muhammad Fatkhur Rizki, Mohammad Rofi’ul Azis, Moh. Safah, Maknun Fil Sari, Waskita Sitompul, Bernad J. D. Sri Widoyoningrum Tanhella Zein Vitadiar Tofan Putra Irianto Vitadiar, Tanhela Zein Widoyoningrum, Sri Wiratsongko, Radityo Yudistira Putra, Rocky Ardiansyah Yusuf, Lutfi Zainal Ikhwan, Muhammad Zein Vitadiar, Tanhella Zuyyinal Haqqul Barir , Much