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All Journal JURNAL SISTEM INFORMASI BISNIS TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Format : Jurnal Imiah Teknik Informatika Applied Information System and Management JURNAL PENDIDIKAN TAMBUSAI Generation Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) ABIDUMASY : Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah Research Student Jurnal Penelitian Teknologi Informasi dan Sains Journal of Blockchain, Nfts and Metaverse Technology Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Mashuri, Chamdan
Unknown Affiliation
Religion 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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PENERAPAN ALGORITMA APRIORI UNTUK MENENTUKAN REKOMENDASI ANIME RATING TINGGI DENGAN JUMLAH PENONTON SEDIKIT (Studi Kasus: Situs MyAnimeList.net) Diah Puspita, Dwi Ratna Ayu; Mashuri, Chamdan; Ahmad Heru Mujianto; Indana Lazulfa
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9386

Abstract

Abstract High-quality yet less popular anime recommendations are a need for users on MyAnimeList.net, a platform containing thousands of anime titles with varying ratings and viewership numbers. This study aims to apply the Apriori algorithm to determine anime recommendations with high ratings but low viewership, using data from MyAnimeList.net. In the growing anime industry, many high-quality anime titles receive little attention from viewers. Therefore, it is essential to develop a recommendation system that can help users discover anime they may have missed. The dataset used consists of rating and viewership data from MyAnimeList.net. Through filtering and analysis, the Apriori algorithm successfully identified relationships among anime titles that meet the criteria of high ratings and low viewership, resulting in more targeted recommendations. This research is expected to contribute to the development of data mining-based recommendation systems, especially for recommending content that is rarely viewed yet has high quality. The use of the Apriori algorithm in content recommendations also shows potential in helping users find preferences that are more diverse and relevant to their interests.
Decision Support System for Selecting the Best Cryptocurrency Mining Machine Using the Multifactor Evaluation Process Method Mashuri, Chamdan; Sitompul, Bernad J. D.; Vernanda, Dwi; Marbun, Nasib
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 1 No. 1 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v1i1.152

Abstract

Cryptocurrency mining is a process carried out using a specialised computer network in order to obtain new crypto assets. The cryptocurrency mining business in today's digital era is increasingly in demand by netizens. Many netizens run cryptocurrency mining businesses to generate new cryptocurrency assets that can be traded on the cryptocurrency market to earn huge profits. In doing cryptocurrency mining itself, it is necessary to be careful in choosing the cryptocurrency mining machine used to get the maximum profit. In this study, researchers proposed the Multifactor Evaluation Process as a decision support system method used to simplify the process of selecting the best cryptocurrency mining machine. The results of this study show that the best cryptocurrency mining machine that is most recommended to use is Cheetah Miner F5I (0.2120), followed by the alternatives iBeLink DSM7T Miner (0.2072), Bitfury RD4 (0.2016), Aladdin T1 16T (0.2016), and Obelisk SC1 Dual (0.1800).
IMPLEMENTASI ONLINE MARKET PLACE PADA INDUSTRI RUMAHAN DI DESA MOJODANU NGUSIKAN JOMBANG Ahmad Heru Mujianto; Hadi Sucipto; Chamdan Mashuri; Ginanjar Setyo Permadi; Tanhella Zein Vitadiar
ABIDUMASY Vol 1 No 1 (2020): ABIDUMASY : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/abidumasy.v1i1.651

Abstract

Data tingkat pengangguran di Indonesia menurut Badan Pusat Statistik menunjukkan bahwa hingga tahun 2017 masih terdapat 7,04 juta orang belum bekerja, hal tersebut menjadi penghambat pertumbuhan ekonomi Indonesia. Salah satu upaya mengurangi pengangguran dengan memulai bisnis sendiri yang tentunya juga dibekali dengan ketrampilan. Membangun Industri Rumahan tidaklah mudah harus banyak pertimbangan dan strategi yang tepat. Terdapat beberapa Industri Rumahan di Desa Mojodanu Ngusikan Jombang yang bergerak dibidang kuliner. Berdasarkan hasil analisa pada Industri Rumahan Desa Mojodanu, rendahnya tingkat pemasaran tidak hanya disebabkan karena media pemasaran yang terbatas tetapi juga karena strategi bisnis yang diterapkan kurang tepat. Sehingga kegiatan PKM yang akan dilaksanakan meliputi pelatihan pengenalan teknologi informasi, implementasi strategi bisnis dan implementasi website marketplace berbasis online. Metode yang digunakan dalam PKM ini dengan cara langsung presentasi, pendampingan, praktikum dan berdiskusi sehingga diharapkan pelaku Industri Rumahan dapat memahami dan mempraktikkan apa yang telah disampaikan. Hasil akhir PKM ini diharapkan pelaku Industri Rumahan Desa Mojodanu mampu memperluas target pemasaran yang tidak hanya secara konvensional tetapi sudah bisa melakukan transaksi penjualan secara online sehingga mampu meningkatkan produktivitas dan pendapatan Industri Rumahan Desa Mojodanu dan produk dari Industri Rumahan Desa Mojodanu mampu menjadi produk unggulan daerah khas desa Mojodanu Ngusikan Jombang.
IMPLEMENTASI APLIKASI E-SURAT PADA PERANGKAT DESA DI DESA MENTURUS KUDU JOMBANG Hadi Sucipto; Ahmad Heru Mujianto; Chamdan Mashuri,; Mahrus Ali; Mahfudiyanto
ABIDUMASY Vol 1 No 1 (2020): ABIDUMASY : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/abidumasy.v1i1.654

Abstract

Pelayanan Desa menggambarkan identitas Desa itu sendiri. Selama ini pelayanan pembuatan surat di kantor Desa Menturus menggunakan pelayanan dalam bentuk sistem informasi manual, pelayanan dilakukan oleh sorang petugas. Beberapa permasalahan yang dihadapi dari sistem pelayanan seperti ini seperti sulit dan lambat dalam proses pengajuan usulan surat baru, surat ijin dan surat keterangan. Sementara masyarakat menginginkan pelayanan yang ramah, cepat dan efektif. Sistem layanan E-SuratDesa dapat dijadikan solusi untuk memberikan layanan prima kepada masyarakat. Sistem yang dibangun ini diharapkan masyarakat dapat mengakses layanan seperti mengurus surat keterangan dan surat pengantar untuk berbagai keperluan dengan cara memsukkan atau mengetik Nomor Induk kependudukan (NIK) ke web layanan mandiri desa. Jika data ditemukan, masyarakat bisa langsung melakukan layanan yang diinginkan. Hasil dari penelitian ini adalah aplikasi administrasi desa berbasis web.
Analisa Pemanfaatan Learning Management System Schoology Menggunakan HOT Fit Model terhadap Pembelajaran di Masa Pandemi Covid 19 Mujianto, Ahmad Heru; Mashuri, Chamdan; Permadi, Ginanjar Setyo; Wiratsongko, Radityo
Applied Information System and Management (AISM) Vol. 5 No. 1 (2022): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v5i1.24767

Abstract

The Covid-19 pandemic in Indonesia has resulted in face-to-face learning methods having to be replaced with online learning. Several e-learning applications can be used as online learning media, including the learning management system (LMS) Schoology. This study aims to analyze the benefits of LMS Schoology for algorithm courses with the HOT Fit model framework which analyzes the system in terms of system quality, information quality, service quality, system use, user satisfaction, benefits and organization. Based on the analysis, it was found that LMS Schoology was able to provide benefits and help students in online learning of algorithms and programming, this was indicated by the average respondents' answers from 23 questions that had a value of 3, which means that respondents answered Agree regarding the benefits obtained. Although overall LMS Schoology is said to be good for use in learning algorithms, it is still necessary to pay attention to several variables that have a value of respondent dissatisfaction, so that this deficiency can be improved to improve LMS Schoology, especially in terms of ease of access and use of the system which still has a value of user dissatisfaction
Co-Authors AA Sudharmawan, AA 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 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 Indana Lazulfa Indana Lazulfa, Indana Kapindho Febriyanto Kistofer, Terdy Kristianto, Hery M. Hamzah Ulumuddin Mahfudiyanto Mahrus Ali Mahrus Ali Mauludi, Kartika 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 Rofi’ul Azis, Moh. Sari, Waskita Sitompul, Bernad J. D. Sri Widoyoningrum Tanhella Zein Vitadiar Tofan Putra Irianto Vitadiar, Tanhela Zein Wiratsongko, Radityo Yudistira Putra, Rocky Ardiansyah Yusuf, Lutfi Zainal Ikhwan, Muhammad Zein Vitadiar, Tanhella Zuyyinal Haqqul Barir , Much