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All Journal Teika SPEKTRUM INDUSTRI Jurnal Informatika SMATIKA E-Dimas: Jurnal Pengabdian kepada Masyarakat JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknoinfo Surya Abdimas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Tekno Kompak Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Tekinkom (Teknik Informasi dan Komputer) JIKA (Jurnal Informatika) Infotek : Jurnal Informatika dan Teknologi Indonesian Journal of Cultural and Community Development Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) J-SAKTI (Jurnal Sains Komputer dan Informatika) Indonesian Journal of Education Methods Development Indonesian Journal of Innovation Studies Indonesian Journal of Public Policy Review Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Indonesian Journal of Islamic Studies JOINCS (Journal of Informatics, Network, and Computer Science) SAGA: Journal of Technology and Information Systems Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Innovative Technologica: Methodical Research Journal Physical Sciences, Life Science and Engineering Indonesian Journal of Applied Technology Journal of Technology and System Information Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal of Electrical Engineering Journal for Technology and Science semanTIK Journal of Blockchain, Nfts and Metaverse Technology IJHCS JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Smatika Jurnal : STIKI Informatika Jurnal Academia Open Journal of Artificial Intelligence and Digital Economy
Mochamad Alfan Rosid
Program Studi Informatika, Universitas Muhammadiyah Sidoarjo, Indonesia
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Aplikasi Media Pembelajaran IPA Untuk MI Berbasis Augmented Reality Bagus Dwi Yulianto; Rohman Dijaya; Mochamad Alfan Rosid
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 2 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i2.12496

Abstract

MI Darul Huda is one of the Islamic elementary schools iAn the Jabon District, Sidoarjo Regency. The learning process still uses books and 2-dimensional pictures. Therefore, supporting facilities and infrastructure are needed, educational media is one example of learning media that facilitates students in the interactive learning process so that students are not bored and students can see real 3D objects. Increase student interest in the learning process using augmented reality technology. Augmented reality (AR) scientific-based educational media application was developed for Michigan International University to assist student learning. The Multimedia Design and Development Life Cycle (MDLC) is a 6 stage process (concept, design, materials assembly, assembly, testing, distribution), used in this approach or study. Using markers, augmented reality science learning media applications can provide three-dimensional visuals of object markers. The research and testing all led to the conclusion that Android serves as a viable platform for using Augmented Reality as a scientific education tool. AR successfully displays 3D objects based on marker objects, features are able to run according to functions and information on science subject matter can be understood. The best results in displaying objects are from a distance of 10-15 cm with standard light conditions
IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK UNTUK DETEKSI KESEGARAN PADA APEL Diana Cindy Agustin; Mochamad Alfan Rosid; Novia Ariyanti
JURNAL FASILKOM Vol 13 No 02 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i02.5175

Abstract

Saat ini, perkembangan teknologi telah menjadi sangat cepat dan produk kecerdasan buatan seperti visi komputer yang mampu menganalisis benda-benda di sekitarnya dan kemudian memberikan informasi yang dapat dipahami oleh manusia telah mulai menggantikan peran manusia dalam beberapa bidang pekerjaan. Berdasarkan data BPS, persentase ekspor buah Indonesia tumbuh 10,36% pada Februari 2022 dengan nilai US$ 340 juta. Hal ini menyebabkan perlunya efisiensi waktu saat melakukan proses ekspor untuk menentukan kualitas buah. Jumlah waktu, sumber daya manusia, dan kurangnya pemahaman dalam menentukan kualitas buah adalah hal yang perlu diperhatikan. Berdasarkan permasalahan dan pertanyaan tersebut, penelitian ini dilakukan untuk membuat sebuah proyek yang membuktikan bahwa visi computer juga dapat melakukan pekerjaan serupa yang awalnya dilakukan oleh manusia sehingga dapat mempermudah penentuan kualitas buah dengan menerapkan algoritma Convolutional Neural Network dengan struktur LeNet-5 dan mendapat akurasi sebesar 93%. Proyek ini merupakan aplikasi berbasis mobile android yang dapat mendeteksi kondisi buah apakah cocok (segar) atau tidak cocok (busuk) untuk dikonsumsi sehingga menciptakan gaya hidup yang lebih sehat.
Analisa Sentimen Pemilu 2019 Pada Judul Berita Online Menggunakan Metode Logistic Regression Alifiyah Rohmatul Hidayati; Arief Senja Fitrani; Mochamad Alfan Rosid
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i2.164

Abstract

Online news is a report that discusses an event packaged by the media as a means of publication in the form of news that can be accessed online. The 2019 election was one of the topics that was very much discussed at that time. In its implementation, the 2019 election reaped many critical notes related to the implementation and the issue of the integrity of the election itself. In this study, researchers took titles from various online news portals related to the 2019 election for sentiment analysis. The classification process is divided into three classes, namely positive, neutral and negative. The data used in this study amounted to 395 records. The stages carried out in this study are preprocessing which includes casefolding, remove punctuation, handling whitespace, stopword removal, stemming and tekonization. Next is handling imbalanced data to balance the number of classes. After going through the preprocessing stage, the next is the processing stage using the logistic regression method and randomized search cross validations. This is used to find the best parameters where the results of these parameters are then carried out by fitting the model. The results of the combined logistic regression method and randomized search cross validation show an accuracy score of 86%.
Sistem Informasi E-Ilang Berbasis Web Studi Kasus di PT. PJB Services Mohamad Haris Muzadi; Mochamad Alfan Rosid; Arif Senja Fitriani; Hamzah Setiawan
Journal of Electrical Engineering Vol. 1 No. 1 (2024): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jte.v1i1.2479

Abstract

Tujuan dari penelitian ini adalah untuk membuat sistem informasi pada suatu perusahaan yang bergerak di bidang jasa maintenance, repair dan overhoul yang memiliki banyak perkerjaan sehingga peralatan kerja yang dibutuhkanpun meningkat. Munculnya banyak pekerjaan dan peralatan kerja mengharuskan untuk membuat sistem informasi guna meningkatkan kinerja suatu perusahaan, baik sistem informasi yang bersifat dekstop based atau web based dapat sangat membantu sekali dalam proses administrasi bisnis. Oleh karena itu dibutuhkan sebuah Sistem Informasi yang mana dapat membantu terdatanya peralatan kerja, administrasi transaksi peminjaman serta pengembalian, dan manajemen aset perusahaan untuk dapat meningkatkan kualitas pekerjaan sehingga lebih cepat, teradministrasi, efektif, dan efisien. Sistem informasi ini berbasis website dengan bahasa pemrogaman PHP dan MySql untuk databasenya. Pada menu transaksi peminjaman sudah dilengkapi dengan auto pop up list tools, sehingga transaksi peminjaman dan pengembalian akan terjamin sesuai dengan peralatan yang dimaksudkan dan juga terdapat penomoran inventarisasi pada tiap peralatan sehingga meminimalisir kesalahan ataupun kehilangan peralatan pada saat tools tersebut dipinjamkan ke user. User tools juga dapat melihat peralatan apa saja yang tersedia pada saat itu dengan menggunakan akses Review sehingga tidak hanya administrator sistem informasi saja yang dapat mengakses website tersebut. User tools juga setuju bahwa dengan adanya sistem informasi ini dapat menjaga tools dari kehilangan karena tidak teradministrasinya peralatan pekerjaan sehingga aset suatu perusahaan banyak yang hilang.
Sarcasm Detection in News Headline Dataset with Ensemble Deep Learning Method: Deteksi Sarkasme Pada Dataset News Headline Dengan Metode Ensemble Deep Learning Mochamad Alfan Rosid; Siti Nur Haliza; Yulian Findawati; Uce Indahyanti
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 6 No. 2 (2023): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v6i2.1628

Abstract

Sarcasm, a prevalent linguistic device, is frequently used in public discourse, often causing offence and distress to the listener. The complexity inherent in detecting sarcasm is a significant and ongoing challenge in the field of sentiment analysis research. The widespread use of this phenomenon in diverse conversational contexts further complicates its identification in data sets full of human interactions. Deficiencies in methodologies for distinguishing such statements adversely affect the performance of sentiment analysis, especially in distinguishing negative, positive or neutral sentiments. Inaccuracies in sarcasm detection can affect the classification results of sentiment analysis. Therefore, sentiment analysis seeks to categorise sarcastic sentences that, despite appearing positive, actually contain negative meanings. This research aims to build a deep learning ensemble stack model. The basic deep learning methods used are Bidirectional Gated Recurrent Unit (BiGRU) and Convolutional Neural Network (CNN). LightGBM is used to perform stack ensemble of deep learning methods. The dataset used comes from the Kaggle website and consists of English headlines. The findings show that the stack ensemble method outperforms BiGRU and CNN, evidenced by an accuracy rate of 91.2% and an F1 score of 90.2%. Therefore, from the above discussion, it can be concluded that the LightGBM method emerges as the optimal solution for sarcasm detection
SISTEM INFORMASI PENJUALAN TAS BERBASIS WEB PADA TOKO TAS UD. A&N COLLECTION TANGGULANGIN DENGAN METODE WATERFALL Pamungkas, Nicky Ibrahim; Astutik, Ika Ratna Indra; Rosid, Mochamad Alfan
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 8, No 4 (2023)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v8i4.4039

Abstract

Perkembangan teknologi yang semakin tinggi menyebabkan kebutuhan akan informasi yang cepat tepat dan akurat dalam dunia usaha menjadi sangat dibutuhkan, kebutuhan akan informasi yang cepat, tepat dan akurat dalam dunia usaha menjadi sangat dibutuhkan. penjualan secara langsung kepada konsumen dan membutuhkan sistem penjualan secara online guna mengembangkan usahanya. sebagai media dalam membuat  kerajinan Tas sehingga memiliki nilai jual yang tinggi. Kerajinan tangan bisa dilakukan dengan memanfaatkan barang-barang yang berlebihan yang kemungkinan bisa diolah menjadi barang-barang yang multi fungsi dan bernilai guna.  masyarakat yang bertempat di toko tas yang terletak pada wilayah Jalan Utama Kedensari RT.10 RW.04 Nggodong, Kedensari Kec Tanggulangin dengan pemilik Erna wati, berinisiatif untuk penjualan secara online guna mengembangkan usahanya. Penulis mengamati proses jual beli yang berlangsung pada Toko Tas yang telah diobservasi., dan ini juga bisa menjadi solusi untuk mempermudah konsumen sehingga memudahkan konsumen dalam melakukan transaksi pembelian baik, lebih menghemat waktu, lebih terjangkau dan masih banyak lagi kelebihan yang dapat diambil dengan berjualan secara online, Permasalahan yang dihadapi adalah minimnya strategi pengembangan usaha.toko AN masih mengandalkan penjualan secara ofline. sistem pemasaran produk masih manual, masih mengandalkan media komunikasi,interaksi secara langsung  dengan konsumen  dan  masih  berpusat  pada  lokasi tempat  tertentu seperti  datang langsung ke toko. Permasalahan lain yaitu calon pembeli seringkali kesulitan untuk mengakses informasi tentang produk dan informasi tentang harga produk. maka dari itu penulis berinisiatif membuatkan sebuah website toko Tas AN yang nantinya akan mempermudah pelanggan untuk membeli Tas tampa harus datang ke toko. Sistem Informasi ini di bangun menggunakan bahasa pemrograman PHP dengan Bahasa pemrograman MSQL serta framework Laravel dengan menggunakan metode SDLC (Systems development life cycle) yaitu metode yang mengacu pada model dan proses yang digunakan untuk mengembangkan sistem perangkat lunak dan menguraikan proses.
Classification of Meme Sentiment Analysis On Kaggle.com Sites To Use Support Vector Machine Algorithm: Klasifikasi Analisis Sentimen Meme Pada Situs Kaggle.com Menggunakan Algoritma Support Vector Machine Rizaldi, Dedy; Astutik, Ika Ratna Indra; Rosid, Mochamad Alfan
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1194

Abstract

Meme is currently one of the media that is often used to convey a message or opinion on a topic that is currently hot in the community, and is widely discussed on social media. Apart from being a means of humor, memes are also commonly used as a medium to convey satire, even 'ridicule' to a party. This encourages curiosity to capture and classify memes circulating on social media, including through public data available on the Kaggle. This study aims to classify memes into three classes of sentiment, namely positive, neutral, and negative. In this case, the researcher uses Support Vector Machine algorithm with Radial Basis Function kernel because it can produce the highest accuracy compared to other kernels. The dataset downloaded through the Kaggle website is in the form of memes that have been labeled and accompanied by Optical Character Recognition (OCR) results consisting of a total of 6,992 meme data. By using Support Vector Machine algorithm, the classification results are obtained at 73.75% while using Naïve Bayes algorithm to obtain an accuracy of 61.24%. This proves that the application of Support Vector Machine algorithm in document classification is able to produce a fairly high accuracy when compared to the Naïve Bayes algorithm
Futsal Field Promotion System Using Augmented Reality Method (Case Study: Segodo Tarik Futsal Field): Sistem Promosi Lapangan Futsal Menggunakan Metode Augmented Reality (Studi Kasus: Lapangan Futsal Segodo Tarik) Alim, Kholqi; Eviyanti, Ade; Findawati, Yulian; Rosid, Mochamad Alfan
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1405

Abstract

Futsal is a multi-sprint sport with a high-intensity phase. In addition, the game of futsal is very dependent on the technical abilities of each player. To implement trained and conceptualized tactics and strategies, individual techniques are combined. To play futsal properly, you must learn some basic techniques and practice them often. Various technologies have been developed in the field of sports to improve player performance, including the development of an Arduino-based futsal ball throwing device. Augmented reality (AR) is the process of generating additional information about existing objects by rendering them in real time directly or indirectly from physical objects by adding objects to the virtual world. Based on the research that has been done under the title "Futsal Field Promotion System Using the Augmented Reality Method" it can be concluded that: The AR Futsal application can display 4 3D objects on the futsal field. Making 3D objects is contained in this application using Blender software and developed into an Android application.
Design of a Web-based Livestock Feed Sales Information System (Case Study of Lukman Jaya Store): Rancang Bangun Sistem Informasi Penjualan Pakan Ternak Berbasis Web (Studi Kasus Toko Lukman Jaya) Witno, Kasaifi Al Qurdhowi Bin; Eviyanti, Ade; Rosid, Mochamad Alfan
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1406

Abstract

Lukman Jaya Store is business engaged in the sale of chicken feed and duck feed for both layer and broilers, and chicken / duck breeds. This shop in located in singkalan village RT14 RW06, Balongbendo district, Sidoarjo regency. The purpose of this research is to design a website-based livestock feed sales information system. The system used at lukman jaya stores is still manual, where the media for promotion is only throught banners and stories from one customer to another. The analysis of the system used is media observation, interviews and literature study. The results of this study are to make it easier for customers to buy and know the chicken and duck feed available at the Lukman Jaya Store.
Web Center Design of Student Activity Unit (UKM) Universitas Muhammadiyah Sidoarjo as a Center for Membership Information Event and Product Marketing: Perancangan Web Center Unit Kegiatan Mahasiswa (UKM) Universitas Muhammadiyah Sidoarjo Sebagai Pusat Informasi Keanggotan, Event dan Pemasaran Produk Zahputra, Aldy Trisza; Eviyanti, Ade; Rosid, Mochamad Alfan; Hindarto, Hindarto
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1409

Abstract

Information systems and technology are advancing so rapidly that technology and people no longer play separate roles. One of the technologies currently being developed is a website-based information system. The website is a collection of linked pages and related files. Websites have been widely used by non-profit and non-profit organizations to provide accurate information to the public by functioning as a platform for information dissemination. The purpose of this research is to create a central web information system to display complete detailed data regarding the Sidoarjo Muhammadiyah University Student Activity Unit online. The research method used is the waterfall method using blackbox testing. From the test results the researchers succeeded in implementing a student activity unit website that displayed information in the form of info on achievements, works, events, products, articles, announcements and members from each UKM. With this system, student activity units can record every activity, reduce the risk of loss or damage to data and make it easier to record all of its members.
Co-Authors Ade Eviyanti Ade Eviyanti Hamzah Setiawan Adi Putra, Lutfi Agoeng Dwi Djoelianto Ahmad Angga Handoko Ahmad Syaichul Hadi aini firdausi nuzulla Aisha Hanif Alan Budi Kusuma Kusuma Aldo Reghan Ramadhan Alifiyah Rohmatul Hidayati Alim, Kholqi Amanda Aditya Sri Nengsih Aminy, Ritzana Aisyah Andre Aditya Pradana Andry Rachmadany Ardiansyah, Alfinas Ardilah, Diamond Heris Arief Senja Fitrani Arif Senja Fitrani Arif Senja Fitrani Arif Senja Fitriani Arif Senja Fitriani Azizah, Nuril Lutvy Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azinar Bagus Dwi Kurniawan, Bagus Dwi Bagus Dwi Yulianto Brigide Tirenia Loresta Burnama, Zendhi Yuna Cindy Taurusta Damasta, Ifanda Reza Danu Pamungkas Darmawan, Dikky Putra Detak Prapanca Diana Cindy Agustin Dimas Bayu Anjasmara Dina Dwi Oktavia Rini Dony Rakhmad Hidayat Dwi Saka Dharmawan Edwin Pramana Eka Aditia Suherman Fahmi Anggara Santosa Fahreza Ramadhan Fajar Muharram Fauzan, Mochamad fil ardi, Mochamad kholifatu Ghozali Rusyid Affandi Gilang Virnando Gunawan Gunawan Gunawan Hadi, Miftakhul Hafid Pradana Hamzah Setiawan Haris Ahmad Gozali Hasan Basri Hindarto Ika Ratna Indra Astutik Ilham Dwi Cahyo Murti Leksono Imanudin, Giri Fajar Indah Rizqi Tsania Irwan Alnanrus Kautsar Irwan Alnarus Alkautsar Irwan Alnarus Kautsar Irwan Alnarus Kautsar Jamal Hasan Kurniawan, David Hogy Tri Mabrur, Moh Faris Ghossani Mardiono, Adimas Prasetyo Moch. Bahak Udin By Arifin Mochamad Rifqi Aminudin Mohamad Haris Muzadi Muhammad Fachruddin, Muhammad Muhammad Fitra Gemilang Muhammad Hafizh Fattah Muhammad Iqbal Nahariqi Muhammad Jamilul Iman Muhammad Muzany Mulyoutomo Muhammad Najih Fairuzzamani Muhammad Saddam Heykal Bustomy Muhammad Syauqil Nihlatul Qudus Sukma Nirwana Niko Dwi Novana Novia Ariyanti Nurdyansyah Nuril Lutvi Azizah Nursapdahi, Nursapdahi Pamungkas, Nicky Ibrahim Pandi Rais Prasetio, Aga Dandi Prasetyo, Agbar Pratama, Nikko Enggaliano Putri Nazilatul Fadhliyah Ramadhan, Mochammad Hisyam Syah Ratih Puspitasari Resa Rakhman Ribangun Bamban Jakaria Rizaldi, Dedy Rizky Eka Febriansah Robby Firmansyah Ardha Rohman Dijaya Rohman Dijaya Rukhi Alfian, Muhammad Ruri Aditya Pratama Sambada, Muhammad Arginanta Kafi Shiddiq, Zulfian Syahril Siti Nur Haliza Soni Abdala Suhendro Busono Sukma Aji Sumarno . Sumarno Sumarno Suprianto Syaichul Hadi, Ahmad Syaifudin, Hilmi Fajar Syamsiar, Syamsiar Tasya Fatmawati Arifin Tomi Eko Hidayat Triwahono, Handi Uce Indahyanti Uce Indahyanti Utama, Bagas Riski Witno, Kasaifi Al Qurdhowi Bin Yulian Findawati Yunianita Rahmawati Yusuf, Farid Maulana Zahputra, Aldy Trisza