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All Journal Prosiding SNATIF Infotech Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Systemic: Information System and Informatics Journal Journal of Information System,Graphics, Hospitality and Technology Journal of Computer System and Informatics (JoSYC) Jurnal Bumigora Information Technology (BITe) GUYUB: Journal of Community Engagement Teknika KLIK: Kajian Ilmiah Informatika dan Komputer Joutica : Journal of Informatic Unisla TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora JUSTIFY : Jurnal Sistem Informasi Ibrahimy COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Nusantara Journal of Computers and its Applications JAR'S (Journal of Advanced Research in Informatics) Gotong Royong

Mochammad Faid

Universitas Nurul Jadid

Author-ID : 668710

Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Transportation Other

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Evaluasi Model Jaringan Saraf Tiruan Berbasis LSTM dalam Memprediksi Fluktuasi Harga Bitcoin Sudriyanto, Sudriyanto; Faid, Mochammad; Malik, Kamil; Supriadi, Ahmad
Journal of Advanced Research in Informatics Vol 2 No 2 (2024): Journal of Advanced Research in Informatics
Publisher : Fakultas Teknik, Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/jars.v2i2.3398

Amid the highly volatile fluctuations in the cryptocurrency market, the ability to accurately predict Bitcoin prices becomes crucial for investors and financial analysts. This study aims to develop a predictive model using Long Short-Term Memory (LSTM) Neural Networks, a specific form of recurrent neural network, to predict Bitcoin prices. Historical data on daily closing prices of Bitcoin from 2015 to 2023 was used to train and test the model. Following data preprocessing, which included normalization and the creation of a time series dataset, the LSTM model was constructed with two LSTM layers and two dense layers to enhance the predictive analysis. The model was trained with the data split into 80% for training and 20% for testing. Results show that the LSTM model was able to produce fairly accurate predictions with a low loss value on the test data. Further evaluation through comparison with baseline models showed significant improvements in predictive accuracy. This research demonstrates the potential application of advanced machine learning techniques in financial analysis, particularly in predicting the prices of highly volatile assets like Bitcoin. With continuous improvements to the model architecture and parameter optimization, Bitcoin price predictions could become more reliable, helping stakeholders make more informed investment decisions.

PELATIHAN KOMPOR PINTAR UNTUK WARGA DESA KARANGANYAR PAITON PROBOLINGGO Tijaniyah, Tijaniyah; Faid, Mochammad; Hasan Basri, Muhammad; Enggar Pawening, Ratri; Bambang, Bambang
Gotong Royong Vol. 1 No. 2 (2024)
Publisher : CV. Akira Java Bulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63935/gr.v1i2.30

Pelatihan kompor pintar ini sangat disambut baik oleh warga desa karanganyar paiton probolinggo. Kompor pintar ini sangat berguna untuk kebutuhan sehari-hari seperti memasak air, memasak nasi, telur dan ikan. Alat ini memmiliki keunggulan dapat sebagai charger hp setelah proses pembakaran kompor dengan biomassa kayu dan daun kering. Alat ini bersifat portable dan mudah dibawa kemana-mana serta cocok untuk kegiatan berkemah di hutan. Biomasaa yang digunakan oleh kompor pintar ini sangat mudah yaitu kayu dan daun kering. Dengan adanya pelatihan ini sangat memudahkan warga mengoperasikan kompor pintar secara mandiri di rumah. Hasil panas dari pembakaran kompor dapat dijadikan daya listrik untuk charger handphone. Kompor pintar ini juga dapat menyalakan 1 buah lampu LED berukuran 5-10 watt.

Pengembangan Sistem Informasi Penerimaan Peserta Didik Baru Menggunakan Waterfall untuk Meningkatkan Efisiensi Pendaftaran Faid, Mochammad; Setiawan, Novaldo Jaka; Alfiandri, Yanuar Ricky
Jurnal Bumigora Information Technology (BITe) Vol 6 No 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v6i2.4645

Background: Problems faced in the previous manual system include long queues, data inaccuracy, and slow administration, which hamper services to prospective students and parents. Objective: This study aims to improve the efficiency of the New Student Admissions (PPDB) process at Junior High School (SMP) Islam Abdul Wahid through the implementation of an online PPDB website. Method: The method used in this study is a software development approach with a waterfall model, which includes the stages of needs analysis, design, implementation, and system testing. Research data were obtained through interviews with administrative staff and questionnaires to prospective students and parents. This website is designed using web technologies to ensure reliability and ease of use. Result: The results of this study are that the online PPDB website is able to speed up the registration process, increase data accuracy, and significantly improve the service system. Conclusion: The conclusion of this study is that the implementation of the online PPDB website provides an effective solution in improving the efficiency of school administration and can be applied in other educational institutions as a form of digital innovation in the modern era.

Penerapan Framework Laravel dalam Pengembangan Aplikasi Manajemen Keuangan Santri Berbasis Barcode di Pondok Pesantren Sabilul Hasan Arifin, Zainal; Faid, Mochammad
TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Vol 5, No 4 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/trilogi.v5i4.11436

The management of student payments in Islamic boarding schools (pondok pesantren) often faces various challenges, particularly in terms of manual record-keeping, delayed reporting, and limited access to information for parents or guardians. Pondok Pesantren Sabilul Hasan Genggong in Probolinggo Regency is one such Islamic educational institution that requires a more efficient and transparent payment system. The purpose of this study at Pondok Pesantren Sabilul Hasan Genggong is to develop a student financial management application with a barcode feature using the Laravel framework, aimed at providing convenience for parents in monitoring the status of educational payments easily and in real-time. The system development in this research adopts the Waterfall model, a sequential approach consisting of several stages: Requirements Analysis, System Design, Implementation, verification, and Maintenance. In the implementation process, the Laravel framework is integrated with MySQL as the data storage medium. This research results in an information system capable of managing financial operations, particularly payment processes, generating accurate financial reports, and providing payment information access to parents through barcode scanning. With the implementation of this system, payment management in the pesantren becomes more structured, minimizes record-keeping errors, and enhances transparency and ease of access for parents. This system is expected to serve as an effective solution in supporting the digital transformation of financial administration within the pesantren environment.

Prediksi Prediksi Perpindahan Pelanggan Pada Toko Online Menggunakan Metode Tree-Based Gradient Boosted Models Sholeha, Selfia Hafidatus; Faid, Mochammad; Yaqin, Moh. Ainol
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5215

Customers are a critical asset to a company's success and ensuring their satisfaction is paramount. However, continuous churn can lead to reduced value flowing from customers, potentially jeopardizing a company's competitive advantage. Customer churn, where consumers choose products from other brands, is influenced by various factors such as promotion, price, product availability, and customer satisfaction levels. While much of the research on churn prediction is concentrated in the telecommunications, retail, and banking industries and only a few have conducted churn prediction research on online stores. This research aims to utilize data mining with a focus on machine learning algorithms, especially the tree-based gradient boosted models method that applies XGBoost, LightGBM, and CatBoost models, to predict customer churn in online stores. The research methodology involves data collection, data pre-processing, model selection and training, model evaluation, analysis and results. This research uses several libraries such as pandas library, numpy, matplotlib, and so on. The results of this study show that the XGBoost model achieved the highest accuracy in predicting customer churn, with an ROC curve of 0.66 and an accuracy value of 0.80032. The feature importance analysis highlights the gender variable as an important factor in model performance. This research contributes to improving customer service, minimizing churn, and ultimately increasing company profitability in the online store sector. Suggestions for future research include expanding data sources, testing with more evaluation metrics, exploring additional churn factors and comparing with other prediction methods for validation.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v6i2.4645

APLIKASI RAPORT DIGITAL DENGAN FRAMEWORK CODEIGNITER 4 BERBASIS KURIKULUM MERDEKA DI SMK N 4 PROBOLINGGO faid, mochammad; supriadi, ahmad; Sukron, Moh; Furqan, Moh
NJCA (Nusantara Journal of Computers and Its Applications) Vol 9, No 1 (2024): June 2024
Publisher : Computer Society of Nahdlatul Ulama (CSNU) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36564/njca.v9i1.289

Aplikasi Raport Digital merupakan sistem aplikasi berbasis web yang diharapkan dapat melakukan perubahan model kerja guru dari manual ke digital Guru dapat membuat penilaian untuk siswa bahkan mencetak rapor dan penilaian nilai hasil belajar siswa. Tujuan dari penelitian ini adalah: 1) Untuk mengetahui apakah ada Hubungan penggunaan aplikasi raport digital dengan efektivitas guru di SMK 4 N Probolinggo, 2) untuk mengetahui seberapa besar hubungan permintaan sertifikat Aktivitas Digital Guru SMK 4 N Probolinggo. Penelitian ini adalah metode korelasi kuantitatif dan kualitatif yang diterapkan pada penilaian di SMK 4 N Probolinggo, Adapun Teknik pengumpulan data yang digunakan berupa data primer, observasi dan dokumentasi. Pada penelitian ini mencoba membuat sebuah Aplikasi Raport Digital yang sudah berbasis kurikulum terbaru yang yaitu Kurikulum Merdeka, Adapun fitur-fitur yang tersedia dalam aplikasi ini diantaranya, ada inputan data master mulai dari siswa,kelas,guru, semester, setting dan lain-lain, Adapun hak akses yang ada dalam aplikasi bosrapot ini sebagai mana berikut ini: (1). Level Kurikulum merupakan level tertinggi dalam aplikasi ini, yang mana jika anda login menggunakan level ini anda dapat mengakses semua fitur yang ada didalam aplikasi ini, mulai dari setting, input nilai semua kelas, cetak raport kuantitatif, cetak raport kualitatif dan fitur-fitur lainya, (2). Level Wali Kelas merupakan level kedua setelah Level Kurikulum, dimana wali kelas diberikan hakases untuk melihat nilai-nilai yang sudah diberikan oleh guru kepada siswanya mulai dari nilai kuantitatif dan juga nilai kualitatif, pada level wali kelas sudah bisa mencetak raport kuantitatif dan raport kualitatif.(3) Pada Aplikasi ini level terakhir dalam aplikasi ini adalah level guru, yang mana pada level ini, guru diwajibkan untuk mengisikan deskripsi pada masing-masing maple yang diajarkannya, dan juga memberikan nilai kepada siswa, mulai dari nilai kuantitatif dan juga nilai Kualitatif sampai dengan nilai UTS dan UAS.

Co-Authors Agung Maulana Ahmad Muzakki Eko Fitra Firmandani Ahmad Supri Ahmad Supriadi Alfian Rahmat Alfiandri, Yanuar Ricky Bambang Bambang Basori Alwi Cahyuni Novia Devi Dwi Purwanto Dwi Lucky Setyawan Enggar Pawening, Ratri Faris Mushlihul Amin Firmandani, Ahmad Muzakki Eko Fitra Furqan, Moh Hasyim, Fuadz Ilham rahmadan Kamil Malik Khairi, Ahmad M. Robith Widadi Malik, Kamil Maulidiansyah Maulidiansyah Moch. Aqil Aulady Moh Jasri Moh. Kifliyanto Moh. Sukron Mohammad Sa’id Muhammad Hasan Basri Muhammad Rizky Pratama Muhammad Supyan Nanda Dwi Dzikrillah Oktavianti, Shely Rahmadan, Ilham Rahmati, Titasari Rerin Wulandari Rizqi Fawaid Rudiyantono, Mokhammad Setiawan, Novaldo Jaka Shelly Oktavianti Sholeha, Selfia Hafidatus sisbiyanto sisbiyanto Sukron, Moh Sulistiyanto, Sulistiyanto Supriadi, Ahmad Syafiih, M. TIJANIYAH TIJANIYAH, TIJANIYAH Titasari Rahmati Titasari Rahmawati Wafi Rijal Fahmi Widjianto Yaqin, Moh. Ainol Yogis Dirga Primanda Zainal Arifin Zainal Arifin

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