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Penerapan Usability Testing dalam Mengukur Keefektifan Google Classroom sebagai Media Pembelajaran IMK Mashuri, Chamdan; Vitadiar, Tanhela Zein; Permadi, Ginanjar Setyo; Mujianto, Ahmad Heru; Yudistira Putra, Rocky Ardiansyah; Putri, Unzilla Savika
Jurnal Pendidikan Tambusai Vol. 6 No. 2 (2022): Agustus 2022
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v6i2.3737

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Dampak pandemi covid-19 membuat pemerintah Indonesia berupaya dalam mencegah penyebarannya. Dengan menerapkan social distancing merupakan pilihan dalam mencegah penularan covid-19. Namun, hal ini memberatkan masyarakat karena memberikan pengaruh pada semua sektor, terutama pendidikan. Pada perguruan tinggi Universitas Hasyim Asy’ari, pembelajaran tetap dilaksanakan meskipun kondisi pandemi. Penerapan media pembelajaran dijadikan solusi perkuliahan tetap berjalan. Media pembelajaran yang dipakai sebagai pembelajaran online adalah Google Classroom. Tujuan penelitian adalah mengukur tingkat keefektifan Google Classroom dalam pembelajaran IMK. Proses evaluasi dilakukan menggunakan Usability Testing. Pengumpulan data dilakukan melalui kuesioner. Proses analisis menggunakan Mean. Hasil penelitian menunjukkan penilaian Usability Testing diperoleh sebesar 67,80% dengan kategori baik, sehingga pengguna menilai Google Classroom efektif dipakai sebagai media pembelajaran IMK.
Implementasi Metode Multifactor Evaluation Process Pemilihan Guru Terbaik Pada SMP Darul Ulum Waru Berbasis Web Kapindho Febriyanto; Muhammad Fatkhur Rizal; Chamdan Mashuri; Didiek Rusdyanto
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 3 No. 1 (2025): JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v3i1.3143

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The decision support system for determining the best teachers at SMP Darul Ulum Waru aims to facilitate the selection and assessment of teacher performance. Currently, the selection of the best teachers still involves negotiations or discussions and has not yet been systematic in determining the best teachers. this process results in outcomes that appear subjective, as teacher evaluations are conducted every year in the even semester to boost the work spirit of each teacher in educating their students and to reward them for their achieved performance. To improve efficiency and accuracy, a system for selecting the best teachers is needed using the MFEP (Multifactor Evaluation Process) method, which is more flexible in determining the weight of criteria. In this method, more prioritized criteria receive greater weight and are easier to apply, making data processing faster. In the MFEP process, calculations are made using predetermined criteria, including politeness, work accuracy, orderliness, compliance, and work enthusiasm. Calculations will be conducted for each teacher based on the specified criteria and weighting, which will ultimately result in recommendations for the best teachers.In the MFEP system, the selection of the best teachers that has been created was tested 20 times manually with an accuracy of 85.88%.
Sistem Pengukuran Tingkat Kemiripan Judul dan Abstrak Skripsi Menggunakan Algoritma Winnowing dan Dice Similarity Sucipto, Hadi; Indriyanti, Aries Dwi; Mauludi, Kartika; Mujianto, Ahmad Heru; Rizal, Muhammad Fatkhur; Mashuri, Chamdan
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5948

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Thesis is a scientific paper that must be made by undergraduate stratum 1 academics at the UNHASY information technology faculty. One of the problems with writing a thesis at the Faculty of Information Technology, UNHASY, is that the process of checking the similarity of titles and abstracts is still manual so it takes a long time to check. From the existing problems, the research was carried out with the aim of providing a system for measuring the level of similarity of titles and abstracts of web-based thesis using the Winnowing and Dice Similarity Algorithm. The algorithm used in this research is the winnowing algorithm which is used as document fingerprinting. The title and abstract of the submitted thesis will be processed through several stages, namely Whitespace insensitive, forming an n-gram sequence, rolling hash, splitting the hash value into several windows and then taking the smallest fingerprint from each window. In the final stage, the similarity value is sought by using the dice coefficient. The results of this study are a sub-system that can check the similarity of titles and abstracts using the winnowing algorithm. This algorithm does not have specific provisions regarding how many gram, window, and prime values that must be applied so that the author tests using 10 test data to determine the effect of these values so that the smallest value is obtained from the input value gram = 5, window = 4 and prime = 3, which is 10.82%, while the largest result, which is 38.16%, is obtained from the input value of gram = 4, window = 3 and prime = 3.
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

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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.
RANCANG BANGUN APLIKASI EDUKASI BELAJAR BAHASA JEPANG DASAR BERBASIS ANDROID MENGGUNAKAN METODE SHUFFLE RANDOM Adi Susanto, Adi Susanto; Chamdan Mashuri; Bambang Sujatmiko; Anita Andriani
JURNAL ILMIAH RESEARCH STUDENT Vol. 2 No. 2 (2025): September
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jirs.v2i2.5521

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Bahasa Jepang menjadi salah satu bahasa luar yang sangat digemari di Indonesia., didorong oleh pengaruh budaya populer seperti anime, manga, dan musik. Namun, kompleksitas struktur bahasa dan sistem penulisan seperti Hiragana, Katakana, dan Kanji sering kali menjadi kendala bagi pemula. Oleh karena itu, diperlukan sarana belajar yang efisien, menarik, dan mudah diakses. Penelitian ini ditujukan untuk merancang dan menciptakan aplikasi edukasi pembelajaran bahasa Jepang dasar berbasis Android dengan pendekatan aplikasi edukatif. Aplikasi ini berisi materi pengenalan huruf Hiragana dan Katakana dasar dalam bahasa Jepang. Dalam proses pembelajaran, pengguna diajak untuk berinteraksi melalui latihan atau soal tebak huruf , di mana jawaban diacak secara acak menggunakan metode shuffle random guna menciptakan variasi dan meningkatkan daya ingat pengguna. Aplikasi ini dirancang sebagai alternatif metode belajar yang lebih menyenangkan, interaktif, dan efisien dibanding metode konvensional. Dengan demikian, aplikasi ini diharapkan dapat menjadi media pendukung yang efektif dalam proses belajar bahasa Jepang, khususnya bagi pemula.
RANCANG BANGUN DIGITAL LEARNING SYSTEM (DLS) BERBASIS GAMIFIKASI MENGGUNAKAN METODE GAME DEVELOPMENT LIFE CYCLE (GDLC) Putra, Rocky Ardiansyah Yudistira; Mashuri, Chamdan
FORMAT Vol 13, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i1.007

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Digital education is one of the important components in the implementation of the Independent Curriculum in Indonesia. However, the main challenge arises when elementary school students tend to spend more time playing than studying. To overcome this, the development of a gamification-based Digital Learning System (DLS) can be an effective solution. DLS allows students to learn independently and interactively with the support of digital technology, while gamification offers game elements that make the learning process more interesting and enjoyable. In English learning, gamification-based DLS helps students develop vocabulary, grammar, and communication skills in a fun and structured way. Through the application of challenges, rewards, and levels, students are invited to be actively involved in learning, increasing their motivation and learning outcomes. This DLS is not only relevant to the needs of elementary school children who like games, but also supports the achievement of the objectives of the Independent Curriculum, which focuses on flexibility and contextualization of education. This abstract highlights the importance of gamification-based DLS as an interesting and effective English learning innovation for elementary school students in the digital era.
EVALUASI KINERJA PROGRAM STUDI MENGGUNAKAN METODE INTEGRATED PERFORMANCE MEASUREMENT SYSTEMS DAN ANALYTIC HIERARCHY PROCESS (Studi kasus : Program Studi Teknik Informatika Universitas Hasyim Asy’ari) Mashuri, Chamdan; Faizah, Arbiati
Inovate Vol 3 No 2 (2019): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v3i2.738

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Implementing performance improvement programs, studios are solutions that can be used to achieve betterHasyim Asy'ari University. Using the Integrated Performance Measurement Systems (IPMS) andAnalitycal Hierarchy Process (AHP) methods, studio performance appraisal programs can be carried outoptimally because this method is all the needs and needs of all stakeholders that will be needed to make aneed to make the Main Performance Indicator (KPI). While AHP is used in making decisions from eachKPI to be weighted and then assessed to determine the scores of the studio program. The results obtainedfrom this study are in the results of the evaluation of informatics engineering courses obtained 9 generalcriteria and 28 sub-criteria or KPI. The average rating system from KPI is 81.53% giving informationabout the performance of the Unhasy Informatics Engineering Study Program as a whole its performancehas been good. For the KPI, the average time to successfully get a job and the dictate ratio of the subject isthe highest score while the KPI ratio of AC to the lecture room gets the lowest score.Keywords: Performance measurement, Integrated Performance Measurement System (IPMS), AHP.
PREDIKSI PRODUKSI PADA VENDOR MANAGED INVENTORY (VMI) DENGAN MENERAPAN RADIO FREQUENCY IDENTIFICATION (RFID) DAN FUZZY TIME SERIES (FTS) Mashuri, Chamdan
Inovate Vol 3 No 2 (2019): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v3i2.740

Abstract

Inventory is a material deposit of a company in the form of raw materials, in-process goods and finishedgoods. Inventory is also a major factor in the center of corporate activity, one of which is influenced bydemand or sales. Vendor managed inventory (VMI) is one of inventory control system that is very useful toimprove company performance. This research uses Radio frequency identification (RFID) technology anduses fuzzy time series (FTS) method to predict demand or sales and leverage vendor managed inventory(VMI) model or system in which to apply formula for safety stock control which then developed bymodeling business and Implemented in the form of web-based information systems. By using the actualhistorical data of sales for 5 years which then predicted by fuzzy time series method, and from predictionresult is calculated for safety stock. By using 60 sample data from histori penjulan obtained Mean AbsoluteDeviation (MAD), Mean Square Error (MSE) and Mean Square Percent Error (MAPE) are 50,690,4,600,953,015 and 15%. From the prediction results used for the calculation of safety stock in December2106 obtained value of 135,535. This indicates that the fuzzy time series is good enough to be used inpredicting demand or sales and stock control..Keywords: VMI, Inventory, RFID, Fuzzy time series, Safety stock.
Analisis Kebiasaan Konsumen Menggunakan Asosition Rule Metode Apriori Pada Central Retail X Heru Mujianto, Ahmad; Faizah, Arbiati; Mashuri, Chamdan
Inovate Vol 4 No 1 (2019): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v4i1.750

Abstract

The sustainability of a company will not be separated from the role of consumers in conductingtransactions. In fact, a consumer has different behaviour and character, therefore as a company owner mustbe able to analysis the patterns or habits of consumers in making transactions. This also happens in theretail center X, which has problems in the sales process, such as products running out of stock and unsoldproducts and the most popular products and products that are not in demand by consumers. Therefore weneed an analysis of consumer habits in conducting transactions. The method of association rule with apriori algorithm is able to be applied well in the analysis of the habits of consumer transactions in thecentral retail X. The results of the calculation obtained an average percentage of the value of support 33%40% and the value of confidence 43%-80%. The results of applying the association rule method with apriori algorithm can help recommend central retail X owners in structuring product and determine strategicsteps in increasing sales, such as providing discounts or promos for certain products.Keywords: Analysis, Consumer, Association Rule, Apriori, Retail.
SISTEM INFORMASI GEOGRAFIS PEMETAAN LAHAN PERTANIAN BAWANG MERAH DENGAN METODE K-MEANS CLUSTERING BERBASIS WEBSITE (Studi Kasus di Kabupaten Nganjuk) Zuyyinal Haqqul Barir , Much; Imam Agung, Achmad; Mashuri, Chamdan
Inovate Vol 4 No 1 (2019): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v4i1.752

Abstract

Geographic Information system (GIS) is a type of system that can be used for mapping the garlic farm land.The system consists of hardware, software, geographic location and human resources that can effectivelyprocess and display geographic information data. Agricultural land is an economic resource that isrelatively permanent availability, but its needs continue to increase due to development needs. The purposeof this research is tobuild SIG -based GIS Website and M-energy method of K-means Clustering for themapping of garlic farmland . The method used In this research is qualitative and uses K-means Clusteringfor GIS. This method is used for grouping data that has similarity variables. This method generates severaliterations that have clustervalues. Of These iterations used the least cluster value to determine theagricultural Land Mapping group. The result of this research is a geographic information system that canmap the garlic farm land. GIS testing was conducted on land in 20 sub-districts in Nganjuk district withconsideration of 3 variables and the test count 4 times. From The test results, the average number ofconformity calculation is obtained by 93,51% between manual counting result and counting result usingSIG.Keywords: K-means, Clustering, shallots, land mapping.