Garuda - Garba Rujukan Digital

Penerapan Sistem Pakar untuk Diagnosa Penyakit dan Hama Tanaman Cabai dengan Metode Forward Chaining Maulida Ayu Fitriani; Dany Candra Febrianto
Sainteks Vol 16, No 2 (2019): Oktober
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/sainteks.v16i2.7133

Cabai (Capsium annum L.) adalah komoditas sayuran yang banyak mendapatkan perhatian karena memiliki nilai ekonomis yang cukup tinggi kebutuhan cabai semakin lama semakin meningkat setiap tahunnya sejalan dengan berkembangnya sebuah industri yang membutuhkan bahan baku cabai. Cara perawatan yang salah atau tidak sesuai dengan standart yang ada, dapat mengakibatkan tanaman cabai rentan terkena hama penyakit dan dapat mengakibatkan hasil panen tidak bisa maksimal, hasil penjualan yang rendah dan bahkan bisa mengakibatkan gagal panen. Hama utama pada tanaman cabai antara lain ulat hama ulat grayak kutu daun, thrips, tungau, lalat buah hama tersebut yang bisa mengakibatkan tanaman cabai terkena penyakit. Pada makalah ini disarankan menggunakan Sistem Pakar dengan metode Forward Chaining guna memberikan saran atau pertimbangan kepada petani untuk diagnosis penyakit atau hama serta penangannya. Metode Forward Chaining berfungsi sebagai mesin inferensi berdasarkan fakta-fakta yang ada. Pada makalah ini doagnosa penyakit pada cabai sudah menggunakan sistem pakar untuk memudahkan memberikan informasi berupa kesimpulan tentang penyakit tanamann cabai sehingga hal ini bisa menjadi acuan.Kata kunci : Penyakit Cabai, Sistem Pakar, Forward Chaining

Data Mining for Potential Customer Segmentation in the Marketing Bank Dataset Maulida Ayu Fitriani; Dany Candra Febrianto
JUITA : Jurnal Informatika JUITA Vol. 9 No. 1, May 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Direct marketing is an effort made by the Bank to increase sales of its products and services, but the Bank sometimes has to contact a customer or prospective customer more than once to ascertain whether the customer or prospective customer is willing to subscribe to a product or service. To overcome this ineffective process several data mining methods are proposed. This study compares several data mining methods such as Naïve Bayes, K-NN, Random Forest, SVM, J48, AdaBoost J48 which prior to classification the SMOTE pre-processing technique was done in order to eliminate the class imbalance problem in the Bank Marketing dataset instance. The SMOTE + Random Forest method in this study produced the highest accuracy value of 92.61%.

Penerapan Jaringan Saraf Tiruan dengan Metode Pembelajaran Backpropagation untuk Mengetahui Tingkat Kualifikasi Calon Siswa pada Sistem Informasi Penerimaan Siswa Baru di MAN 2 Banjarnegara Dany Candra Febrianto; Hindayati Mustafidah
JUITA : Jurnal Informatika JUITA Vol. 2 Nomor 3, Mei 2013
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

The selection process of the new students at Madrasah Aliyah Negeri 2 Banjarnegara aims to get the best prospective students to improve the quality and quantity of the achievement of Madrasah Aliyah Negeri 2 Banjarnegara they needs to know the qualifications of the applicant. To help the school to know the qualifications of prospective students required an application that is able to analyze the ability of prospective students, that will assist the school in predicting the qualifications of prospective students. The application is designed using artificial neural network processing with backpropagation learning algorithm. From the experiments performed 6 times used parameter : target error 0,001, the maximum epoch 10000 and learning rate from 0,3 to 0,8 obtained satisfactory results with 64 kinds of patterns tested system can recognize 100% patterns with MSE smaller than 0,001 and when they tested with 100 students sample data that they got from the documents the school system can recognize 100% of the data. Based on the experimental magnitude of learning rate affects the number of iterations to get the MSE, the greater the learning rate value the smaller value of iterations required to obtain a smaller MSE than the target error

Pelatihan Pengenalan Basic Programming Menggunakan Scratch bagi Tenaga Pengajar Sekolah Dasar Muhammadiyah Danaraja Maulida Ayu Fitriani; Laily Nurlina; Agung Purwo Wicaksono; Dany Candra Febrianto
Jurnal Pengabdian Teknik dan Sains (JPTS) Vol 4, No 1 (2024): Januari 2024
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jpts.v4i1.21161

ABSTRAKPada tahun 2020 SD Muhammadiyah telah memiliki media sosial seperti youtube, instagram dan website profil guna mempermudah masyarakat pada saat mencari informasi tentang SD Muhammadiyah Danaraja. Saat ini para guru SD Muhammadiyah Danaraja sedang berusaha belajar mengembangkan media ajar animasi yang di-upload melalui platform online seperti video pada youtube, namun para guru tersebut masih memiliki kesulitan dalam proses pembuatan animasinya. Selain kesulitan dalam pembuatan animasi media ajar, para guru juga memiliki kesulitan saat mendampingi siswa mempersiapkan perlombaan atau olimpiade sains nasional terutama di bidang informatika. Pelatihan yang berkaitan dengan basic programming menggunakan code block pada platform https://scratch.mit.edu/ telah terlaksana pada tanggal 4 Februari 2023. Kegiatan tersebut membantu pemahaman dasar tentang basic programming. Pelatihan basic programming menggunakan Scracth ini juga menjadi dasar untuk membuat media ajar animasi dengan cara yang mudah. Para guru juga diharapkan bisa mengajarkan konsep basic programming dan pembuatan animasi kepada siswa siswinya. Selain menjadi bekal persiapan olimpiade sains nasional, siswa siswi juga bisa lebih mengenal tentang perkembangan teknologi seperti sekedar pembuatan animasi atau pembuatan game sederhana. Hal ini selaras dengan upaya pemerintah untuk meningkatkan daya saing bangsa.ABSTRACTSD Muhammadiyah already has social media such as YouTube, Instagram and a profile website to make it easier for people to find information about SD Muhammadiyah Danaraja. Currently, the teachers of SD Muhammadiyah Danaraja are trying to learn to develop animated teaching media that are uploaded through online platforms such as videos on YouTube, but the teachers still have difficulties in the animation making process. In addition to difficulties in making teaching media animations, teachers also have difficulties when accompanying students preparing for competitions or national science olympiads, especially in the field of informatics. Training related to basic programming using code blocks on the https://scratch.mit.edu/ platform was carried out on 4 February 2023. This activity helps basic understanding of basic programming. Basic programming training using Scracth is also the basis for making animated teaching media in an easy way. The teachers are also expected to be able to teach basic programming concepts and animation creation to their students. In addition to being a preparation for the National Science Olympiad, students can also get to know more about technological developments such as just making animations or making simple games. This is in line with the government's efforts to improve the nation's competitiveness.

Sosialisasi dan Workshop Digital Marketing sebagai Upaya Pengembangan Usaha Masyarakat Desa Kalibenda, Kecamatan Ajibarang, Kabupaten Banyumas Yesy Diah Rosita; Dany Candra Febrianto; Andi Prademon Yunus; Aulia Desy Nur Utomo
Indonesian Journal of Community Service and Innovation (IJCOSIN) Vol 4 No 2 (2024): Juli 2024
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/ijcosin.v4i1.1452

Digital marketing has been a foundation for the business development strategy in the digital era. Even though, the utilization of digital marketing is not evenly applied, especially on the rural area such as in Desa Kalibenda, Kabupaten Banyumas. This community service aims to improve understanding and skills on digital marketing to the resident of the Desa Kalibenda for the potential utilization of digital marketing. Through workshop and seminar, participants are introduced to basic concept of the digital marketing such as media social strategies, browser optimization, and data analytics. The workshop shows significant understanding improvement as well as the positive impact on participant skills on utilizing the digital technology for UMKM marketing measured by post-test after the workshop. As a result, the workshop is suggested to continue and extend the similar program for other region to improve the local UMKM competitiveness in the connected digital market.

Aspect Based Sentiment Analysis Menggunakan Indobert Model Terhadap Review Pengunjung Objek Wisata Baturraden Febrianto, Dany Candra; Fitriani, Maulida Ayu; Afrad, Mahazam; Khadija, Mutiara Auliya
Melek IT : Information Technology Journal Vol. 10 No. 2 (2024): Melek IT: Information Technology Journal
Publisher : Informatics Department-Universitas Wijaya Kusuma Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30742/melekitjournal.v10i2.358

Tourism significantly contributes to regional economic growth and enhances public welfare. Baturraden tourist attraction, located in Banyumas Regency, Central Java, is one of the destinations whose main attraction is nature tourism. Data on visitors to Baturraden tourist attraction over the past few years shows a good trend. To ensure long-term sustainability and enhance service quality, understanding visitor perceptions and experiences is crucial. This study employs Aspect-Based Sentiment Analysis (ABSA) to analyze visitor reviews of Baturraden. Utilizing the IndoBERT model, a deep learning architecture based on Bidirectional Encoder Representations from Transformers (BERT) specifically tailored for the Indonesian language, the research focuses on four key aspects: Attraction, Accessibility, Amenities, and Ancillary Services. Next stage, a pre-processing process is carried out which includes Case Folding, Cleansing, Tokenizing, Normalization, Stemming and Stopword. Model evaluation is conducted using a confusion matrix, assessing accuracy (94.61%), precision (83.22%), recall (96%), and F1-score (88.11). These results demonstrate the model's can classif reviews into the required aspects.A primary challenge encountered in this research involves analyzing reviews exhibiting diverse linguistic styles, including variations in language and dialect, as well as addressing the issue of imbalanced data distribution across the different aspects.

Designed a Waste Management Application by Applying Requirements Engineering Methods to Meet User Needs and Expectations Lisda, Lisda; Febrianto, Dany Candra; Kusumastuti, Rajnaparamitha
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2509

Efforts to manage waste through recycling have been implemented frequently but continue to receive minimal attention from the public, who are daily contributors to waste generation. As a result, the volume of waste keeps increasing, leading to environmental pollution, such as ecosystem damage, unpleasant odors, and blockages in waterways. This research aims to demonstrate that waste management can be enhanced by integrating data to uncover insights that can inform new strategies for addressing excess waste. In this study, a prototype for a waste recycling application was developed, focusing on digital-based waste management using IoT technology. The system incorporates sensors capable of measuring waste volume as a supporting tool developed using the requirements engineering method. Questionnaires were distributed to 30 respondents to gather feedback on platform designs and IoT product designs. Through requirements validation testing, the results showed that 70% of the 30 respondents approved the platform design, while 63.2% approved the IoT product design.

Small Object Detection and Object Counting for Primary Roe Dataset Based on Yolo Wahyu Andi Saputra; Nicolaus Euclides Wahyu Nugroho; Dany Candra Febrianto; Andi Prademon Yunus; Muhammad Azrino Gustalika; Yit Hong Choo
JURNAL TEKNIK INFORMATIKA Vol 18, No 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i1.46063

This research offers an initial exploration into the effectiveness of three variations of the YOLOv8 model original, trimmed, and YOLOv8n.pt in combination with two distinct datasets characterized by tight and loose distributions of roe, aimed at enhancing small object detection and counting accuracy. Utilizing a primary roe dataset across 776 images, the research systematically compares these model-dataset configurations to identify the most effective combination for precise object detection. The experimental results reveal that the YOLOv8n.pt model combined with the loosely distributed dataset achieves the highest detection performance, with a mean Average Precision (mAP) of 53.86%. This outcome underscores the critical impact of both model selection and data distribution on the detection accuracy in machine learning applications. The findings highlight the importance of tailored model and dataset synergies in optimizing detection tasks, particularly in complex scenarios involving small, densely clustered objects. This research contributes valuable insights into the strategic deployment of neural network architectures for refined object detection challenges.

Illegal Motorcycle Parking Detection in The Car Area Isnaeni, Nenen -; Wisesa, Bradika Almandin; Lisda, Lisda; Febrianto, Dany Candra
Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 5 No 2 (2025): August
Publisher : Research Group of Data Engineering, Faculty of Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/dinda.v5i2.1948

Illegal motorcycle parking in designated car areas at Politeknik Manufaktur Negeri Bangka Belitung (Polman Babel) disrupts campus parking management, reduces space availability, and poses safety risks. This paper proposes an automated detection system using computer vision and license plate recognition to identify motorcycles parked in car areas and notify their owners via WhatsApp and email alerts. The system integrates CCTV cameras with YOLOv11 for vehicle detection and EasyOCR for license plate recognition, coupled with a database for owner identification. Upon detection, owners receive immediate notifications to rectify the violation. Experiments in Polman Babel’s parking lot show a 94% accuracy in motorcycle detection and 88% in license plate recognition under diverse conditions. The system enhances parking enforcement efficiency, reduces manual intervention, and supports smart campus initiatives. This work offers a scalable, cost-effective solution adaptable to other institutions facing similar parking challenges.

Designed a Waste Management Application by Applying Requirements Engineering Methods to Meet User Needs and Expectations Lisda, Lisda; Febrianto, Dany Candra; Kusumastuti, Rajnaparamitha
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2509

Efforts to manage waste through recycling have been implemented frequently but continue to receive minimal attention from the public, who are daily contributors to waste generation. As a result, the volume of waste keeps increasing, leading to environmental pollution, such as ecosystem damage, unpleasant odors, and blockages in waterways. This research aims to demonstrate that waste management can be enhanced by integrating data to uncover insights that can inform new strategies for addressing excess waste. In this study, a prototype for a waste recycling application was developed, focusing on digital-based waste management using IoT technology. The system incorporates sensors capable of measuring waste volume as a supporting tool developed using the requirements engineering method. Questionnaires were distributed to 30 respondents to gather feedback on platform designs and IoT product designs. Through requirements validation testing, the results showed that 70% of the 30 respondents approved the platform design, while 63.2% approved the IoT product design.

Title

Found 13 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 13 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 13 Documents
Search