This Author published in this journals
All Journal Teika SPEKTRUM INDUSTRI Jurnal Informatika Elementary: Islamic Teacher Journal Jurnal Teknik Elektro E-Dimas: Jurnal Pengabdian kepada Masyarakat Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknoinfo J-SAKTI (Jurnal Sains Komputer dan Informatika) 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 Jurnal Tekinkom (Teknik Informasi dan Komputer) JIKA (Jurnal Informatika) Infotek : Jurnal Informatika dan Teknologi Academia Open 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) 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 JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Claim Missing Document
Check
Articles

Analysis of Community Sentiments Regarding Plans to Relocate National Capital Using the Naïve Bayes Method Tomi Eko Hidayat; Mochamad Alfan Rosid; Ika Ratna Indra Astutik
JOINCS (Journal of Informatics, Network, and Computer Science) Vol 3 No 2 (2020): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (291.837 KB) | DOI: 10.21070/joincs.v4i0.712

Abstract

This study aims to analyze sentiment towards the transfer of new capitals derived from comments on the tweeter. The method used in this research is Naïve Bayes Classifier, a classic method that has a pretty good accuracy. Naive Bayes Classifier is a probabilistic classification based on the Bayes theorem, taking into account naïv independence assumptions. In addition to using the naïve bayes method, in this study the researchers also used word weighting. The weighting word used is TF-IDF, which is a combination of term frequency and inverse document frequency. By using 3 testing methods, namely Confusion matrix, Precission and Recall, and K-Fold Cross Validation. The results obtained in this study are 3 document classifications, namely Positive, Negative and Neutral. Testing is done by dividing the document into 2 subsets, namely training data and test data and the resulting accuracy of 64.6%.
JSON Implementation to Minimize the Use of the Number of Columns of a Table in a PostgreSQL Database Mochamad Alfan Rosid
JOINCS (Journal of Informatics, Network, and Computer Science) Vol 1 No 1 (2017): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.319 KB) | DOI: 10.21070/10.21070/joincs.v1i1.802

Abstract

On the development of the database currently has become a very important thing, each will plan something, consider any thing we will need and use existing data in a database, The development of the database currently has become a very important thing, when we want to plan something and consider everything, we will need and use existing data in a database, PostgreSQL is one Object Relational Database Management Systems (DBMS) open source with a lot of features that are not less sophisticated to commercial databases. On daily use, it sometimes occurs a case that requires a dynamic column, therefore we should make the new columns to meet those needs. However, if each row of the table column requires different column and potentially need another ones, then it is going to be useless. On the research of utilizing the technology of JavaScript Object Notation (JSON),Json_encode PHP programming language can simplify the use of the column so that a new column is no longer needed when we want to create a new column on the table, we only need a new column that stores an array that has been converted into a JSON string forms the result of json_encode that represents the column name and the content of the columns of a table.
RANCANG BANGUN SISTEM BOOKING HOTEL UNTUK BISNIS D&T TOUR & TRAVEL DI BEJI BERBASIS WEB Ruri Aditya Pratama; Ika Ratna Indra Astutik; Mochamad Alfan Rosid
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2305

Abstract

D&T Rent Car merupakan rental mobil untuk disewakan dan juga tour organizer/agen travel yang saat ini bergerak dibidang jasa penyewaan dan perjalanan wisata. Selama ini untuk melakukan promosi pihak D&T hanya melalui brosur atau whatsapp. Untuk proses reservasi atau booking D&T masih melakukan secara manual dan melakukan penulisan pada buku pada saat melakukan reservasi. Jadi tujuan pembuatan website ini yaitu untuk memudahkan proses booking pelanggan dan juga mambantu pihak D&T agar memiliki website tersendiri. Pembuatan website booking ini akan digunakan bahasa pemrograman dari Javascript dengan framework ReactJs, kemudian untuk Backend akan menggunakan ExpressJs, dan penyimpanan database menggunakan MongoDB. Pengumpulan data yang dibutuhkan akan menggunakan metode observasi dan juga studi literatur, lalu untuk metode pengembangan dari website tersebut akan digunakan metode waterfall sebagai metode pengembangannya. Metode pengujian yang akan dilakukan yaitu melalui pengujian black-box yang akan mengetahui website tersebut dapat berjalan dengan baik atau tidak. Sehingga website yang dibuat akan menjadi efisien dan efektif. Menurut hasil, website yang telah dibuat sudah sesuai dan juga dapat mempermudah untuk melakukan reservasi.
The Development and Effectiveness of Web Based Media Provider Costume by User to Improve Elementary School Students’ Understanding Nurdyansyah Nurdyansyah; Moch. Bahak Udin By Arifin; Mochamad Alfan Rosid; Pandi Rais
ELEMENTARY: Islamic Teacher Journal Vol 10, No 2 (2022): ELEMENTARY
Publisher : Program Studi Pendidikan Guru Madrasah Ibtidaiyah IAIN Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/elementary.v10i2.16193

Abstract

The problem at elementary schools was the use of media that was not in accordance with the context and needs of teachers and students in the classroom through instructional design. The purpose of this study was to develop and evaluate the effectiveness of a web-based media provider costume by the user (Web-MPCU) to improve students’ understanding of the material and test the effectiveness of its application through instructional design at elementary schools. The development model used was Huang's instructional design development model. The results of the study show that instructional design provided information needs that were appropriate to the problems of the school context and resolves them by developing and implementing the Web-MPCU. The results of the development and evaluation of the use of the Web-MPCU show that it was valid, feasible, and effectively applied to improve understanding of the material in elementary schools. The effectiveness of the use of the Web-MPCU was also shown from the ease with which the teacher asks and analyzes the media needs of his students.
VIRTUAL REVIEW UNTUK PENGENALAN WISATA MAKOYA PANDAAN MENGGUNAKAN AUGMENTED REALITY aini firdausi nuzulla; Hindarto Hindarto; Mochamad Alfan Rosid
Jurnal Informatika Vol 23, No 1 (2023): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v23i1.3623

Abstract

Peran pariwisata telah tumbuh secara signifikan selama tiga dekade terakhir, dan memiliki efek positif yang signifikan pada pendapatan negara dan daerah. Salah satu objek tempat wisata yang menyuguhkan keindahan dengan nuansa seperti di Ubud Bali yaitu Makoya yang berada di Kecamatan Pandaan. Destinasi wisata populer di Makoya ini berada di Desa Durensewu Distrik Pandaan, sekitar satu kilometer dari jalan raya. Penggunaan augmented reality untuk memperkenalkan tempat wisata di suatu lokasi merupakan salah satu cara yang telah digunakan dalam industri perjalanan untuk pariwisata. Penelitian ini menggunakan metode Luther Sutopo yaitu konsep (Concept), desain (design), pengumpulan bahan (material collecting), pembuatan (assembly), pengujian (testing), distribusi (distribution). Tujuan penelitian ini untuk virtual review Wisata Makoya Pandaan dengan menggunakan Augmented Reality. Objek Wisata Makoya dikembangkan secara 3D menggunakan tools Blender.
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
Co-Authors Ade Eviyanti Adi Putra, Lutfi Agoeng Dwi Djoelianto Ahmad Syaichul Hadi aini firdausi nuzulla Aisha Hanif Alifiyah Rohmatul Hidayati Alim, Kholqi Aminy, Ritzana Aisyah Anjasmara, Dimas Bayu ARDIANSYAH ARDIANSYAH Ardiansyah, Alfinas Ardilah, Diamond Heris Arief Senja Fitrani Arif Senja Fitrani Arif Senja Fitriani Astutik, Ika Ratna Indra Azizah, Nuril Lutvy Bagus Dwi Kurniawan, Bagus Dwi Bagus Dwi Yulianto Burnama, Zendhi Yuna Busono, Suhendro Damasta, Ifanda Reza Danu Pamungkas Darmawan, Dikky Putra Diana Cindy Agustin Dina Dwi Oktavia Rini Dony Rakhmad Hidayat Dwi Saka Dharmawan Edwin Pramana Fahmi Anggara Santosa Fahreza Ramadhan Fajar Muharram Fauzan, Mochamad fil ardi, Mochamad kholifatu Fitriani, Arif Senja Ghozali Rusyid Affandi Gunawan Gunawan Gunawan Hadi, Miftakhul Hamzah Setiawan Haris Ahmad Gozali Hasan Basri Hasan, Jamal Hindarto Ika Ratna Indra Astutik Ika Ratna Indra Astutik Imanudin, Giri Fajar Irwan Alnarus Kautsar 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 Jamilul Iman Muhammad Muzany Mulyoutomo Novia Ariyanti Nurdyansyah Nursapdahi, Nursapdahi Pamungkas, Nicky Ibrahim Pandi Rais Prasetio, Aga Dandi Prasetyo, Agbar Pratama, Nikko Enggaliano Rachmadany, Andry Ramadhan, Aldo Reghan Ramadhan, Mochammad Hisyam Syah Ratih Puspitasari Resa Rakhman Ribangun Bamban Jakaria Rizaldi, Dedy Robby Firmansyah Ardha Rohman Dijaya Rukhi Alfian, Muhammad Ruri Aditya Pratama Sambada, Muhammad Arginanta Kafi Setiawan, Hamzah Shiddiq, Zulfian Syahril Siti Nur Haliza Soni Abdala Sukma Aji Sumarno Sumarno . Sumarno Sumarno Syaichul Hadi, Ahmad Syaifudin, Hilmi Fajar Syamsiar, Syamsiar Taurusta, Cindy Tomi Eko Hidayat Triwahono, Handi Uce Indahyanti Utama, Bagas Riski Witno, Kasaifi Al Qurdhowi Bin Yulian Findawati Yunianita Rahmawati, Yunianita Yusuf, Farid Maulana Zahputra, Aldy Trisza