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All Journal Journal of Economic, Business and Engineering (JEBE) Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Biner : Jurnal Ilmiah Informatika dan Komputer Clean Energy and Smart Technology TECHNOMEDIA : Informatics and Computer Science
Saifu Rohman
Unknown Affiliation
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : TECHNOMEDIA : Informatics and Computer Science

 1 
SISTEM DETEKSI DAN KLASIFIKASI PENYAKIT TANAMAN PADI BERDASARKAN DAUN MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK (CNN) DENGAN ARSITEKTUR ResNet-50 Zulian Firmansyah; Dian Asmarajati; Muslim Hidayat; Nur Hasanah; Muhammad Alif Muwafiq Baihaqy; Nulngafan; Saifu Rohman
Tekompedia : Jurnal Ilmiah Ilmu Komputer Vol 2 No 2 (2025): Juli
Publisher : CV Nature Creative Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/technomedia.v2i2.150

Abstract

Diagnosa penyakit padi secara konvensional dinilai bergantung pada pengamatan manual yang lambat dan kurang akurat maka diperlukan solusi yang lebih efisien dan objektif dengan pemanfaatan kecerdasan buatan. Penelitian ini bertujuan untuk mengembangkan sistem deteksi penyakit tanaman padi menggunakan bagian dari kecerdasan buatan yaitu metode Convolutional Neural Network (CNN) dengan arsitektur ResNet-50. Sistem dirancang untuk mendeteksi enam penyakit padi berdasarkan citra daun yaitu Blast, Bacterial Blight, Brown Spot, Tungro, False Smut dan Cercospora. Dataset berasal dari kombinasi data publik (kaggle.com) dan citra lapangan yang diambil langsung di daerah Kabupaten Wonosobo. Model dikembangkan dan di modifikasi dengan penambahan GlobalAveragePooling, Dense layer dengan aktivasi ReLU dan regularisasi L2, serta Dropout untuk mengurangi overfitting. Lapisan output menggunakan softmax untuk klasifikasi multi kelas. Evaluasi model menggunakan metrik akurasi, presisi, recall, dan F1-score. Model dapat menunjukkan akurasi pengujian yang tinggi sebesar 79.52% dan performa efektif dengan akurasi 92% pada Classification Report. Hasil deteksi langsung ditampilkan pada sistem berbasis web berupa skala probabilitas penyakit yang terdeteksi.
RANCANG BANGUN SISTEM INFORMASI PEMINJAMAN BARANG DI FAKULTAS TEKNIK DAN ILMU KOMPUTER UNSIQ BERBASIS WEBSITE Saifu Rohman
Tekompedia : Jurnal Ilmiah Ilmu Komputer Vol 1 No 1 (2024): Januari
Publisher : CV Nature Creative Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/technomedia.v1i1.70

Abstract

Borrowing goods is the process of providing an inventory of goods to another party that is needed for an event or activity with the applicable conditions. In general, students borrow items from Administration staff by making a loan letter and handing it directly to the Administration staff. However, data collection and reporting is still done manually. This makes it possible for errors in managing goods data or borrower data. To overcome this problem, this research designs and builds a website-based information system for borrowing goods at the Faculty of Engineering and Computer Science, UNSIQ, which makes it easier to manage goods data for administrative staff. The information system for borrowing goods allows students to easily and quickly apply for loans, approve loans, monitor goods and search for status. The system development method used in this design uses the waterfall method or UML (Unified Modeling Language). The result of this design is a website-based information system for borrowing goods using the Codeigniter 4 framework which can simplify the process of borrowing goods.
ANALISIS KUALITAS WEBSITE MENGGUNAKAN METODE WEBQUAL 4.0 DI SMP NEGERI 3 LEKSONO Jumadi Dwi Stiyanto; Saifu Rohman; Iman Ahmad Ihsanuddin
Tekompedia : Jurnal Ilmiah Ilmu Komputer Vol 1 No 1 (2024): Januari
Publisher : CV Nature Creative Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/technomedia.v1i1.72

Abstract

The website is an important factor that is considered in an institution, especially education. Having a website is a picture of the progress of an educational institution. This is what makes researchers want to do research on the website at SMP N 3 Leksono. The purpose of this study was to determine the quality of the website where analysis and measurement had not previously been carried out in assessing the quality of the SMP N 3 Leksono website. The method used in this study is the WebQual 4.0 method and the object under study is the website at SMP N 3 Leksono. The number of respondents is 79 people who come from users, Students and Duru. Data collection techniques were carried out using a questionnaire. The variables used in this research are Usability, Information Quality, and Service Interaction Quality and Overall Impression on the website at SMP N 3 Leksono based on the WebQual 4.0 questionnaire method with 23 attribute items. The results obtained from the website quality analysis have a percentage of 71.25% of respondents' opinions agree. Based on the interpretation value of website user questionnaires, it can be concluded that website quality provides user convenience and satisfaction..
Co-Authors Ahmad Panji Hafiidh Asnawi, Muhamad Fuat Basuki Nurkhalim dian asmarajati Hidayatus Sibyan Iman Ahmad Ihsanuddin Ishlahus Sa’adah Jumadi Dwi Stiyanto Muhammad Alif Muwafiq Baihaqy Muhammad Choirul Fadhli Nurfauzi Muslim Hidayat Nulngafan Nulngafan Nulngafan NUR HASANAH Reza Tri Kurniawan Rina Mahmudati Sukowiyono Suwondo, Adi Wiko Anang Ansoruloh Zulian Firmansyah