Articles
<![CDATA[Application of Convolutional Neural Networks for Tomato Fruit Ripeness Identification ]]>
<![CDATA[Rumbekwan, Julio Ignasius Wangjaya]]>;
<![CDATA[Aryanto, Joko]]>
<![CDATA[ Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 1 (2025): Vol. 4 No. 1 2025 ]]>
Publisher : <![CDATA[Kirana Publisher (KNPub) ]]>
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DOI: 10.58526/jsret.v4i1.645
<![CDATA[The identification of tomato ripeness is essential in agriculture to ensure quality and reduce spoilage. Traditional methods that rely on human observation are often inaccurate. This research aims to develop a CNN-based system to accurately identify tomato ripeness, focusing on the ripe and unripe categories. The images were taken while the tomatoes were still on the plant stalk with data collection involving 1.000 images of tomatoes, obtained from Kaggle andtaking pictures of tomatoesat the Poktan Welan Asri Petinggen garden tour site, Yogyakarta. The dataset was divided into training (700 images), testing (150 images), and validation (150 images). The experimental designuses the CNN model with image processing steps such as resizing, labeling, and data augmentation. Testing on this system achieved an accuracy of 92.67%. These findings demonstrate the effectiveness of CNN in detecting tomato ripeness, providing a reliable solution for farmers and agricultural stakeholders]]>
<![CDATA[Penerapan Teknologi Mobile dalam Sistem Manajemen Pengelolaan Butik Produksi Busana Muslim ]]>
<![CDATA[Muhammad Reza Raehan]]>;
<![CDATA[Joko Aryanto]]>
<![CDATA[ CESS (Journal of Computer Engineering, System and Science) Vol. 10 No. 1 (2025): Januari 2025 ]]>
Publisher : <![CDATA[Universitas Negeri Medan ]]>
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DOI: 10.24114/cess.v10i1.65107
<![CDATA[Penelitian ini bertujuan untuk mengembangkan sistem manajemen berbasis teknologi mobile guna meningkatkan efisiensi operasional di Butik Widia Collection, yang memproduksi busana Muslim. Latar belakang penelitian ini didasari oleh pengelolaan stok dan transaksi yang sebelumnya dilakukan secara manual, menimbulkan risiko kesalahan pencatatan dan rendahnya efisiensi. Sistem yang dirancang meliputi fitur pengelolaan stok barang, pencatatan barang masuk dan keluar, serta transaksi. Metode penelitian menggunakan pendekatan SDLC (System Development Life Cycle) dengan model Waterfall, sedangkan pengujian sistem dilakukan menggunakan metode Blackbox Testing. Hasil penelitian menunjukkan bahwa aplikasi mobile yang dirancang mampu mengoptimalkan manajemen butik, meningkatkan akurasi data, mendukung pengambilan keputusan berbasis data, dan memberikan pengalaman pengguna yang lebih baik. Inovasi utama dalam penelitian ini terletak pada kemampuan sistem untuk memperbarui data tanpa mengubah kode barang atau transaksi, menjaga integritas data, dan meningkatkan fleksibilitas pengelolaan stok barang.]]>
<![CDATA[APLIKASI INVENTARIS MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT (RAD) SEBAGAI INOVASI TEKNOLOGI UNTUK EFISIENSI STOK OBAT ]]>
<![CDATA[Maulana, Galih Arya]]>;
<![CDATA[Aryanto, Joko]]>
<![CDATA[ JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 8 No 2 (2024) ]]>
Publisher : <![CDATA[Institut Bisnis dan Teknologi Pelita Indonesia ]]>
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DOI: 10.35145/joisie.v8i2.4717
<![CDATA[Apotek Dewa Sehat Pati ialah salah satu perusahaan yang bergerak pada bidang farmasi dan menjual obat-obatan. Seperti perusahaan lainnya, di apotek juga terdapat banyak data yang harus dikelola. Pengolahan data pada apotek tersebut masih bersifat konvensional. Apotek melakukan pencatatan dengan menggunakan buku besar. Hal ini dapat menyebabkan pelayanan dan pengolahan data transaksi penjualan sangat memakan waktu. Kesalahan pencatatan sering terjadi dan data juga sering hilang. Data penjualan juga rentan untuk dimanipulasi oleh siapapun. Berdasarkan permasalahan yang ada, maka penelitian ini dilakukan untuk membuat sebuah sistem pencatatan yang diterapkan pada apotek. Sistem ini bertujuan untuk membuat sistem penjualan obat yang efektif dan efisien. Sistem apotek dikembangkan menggunakan metode Rapid Application Development (RAD) dan menggunakan perancangan berupa desain dan diagram untuk mengetahui aliran data. Bahasa pemrograman Kotlin dan database Firebase juga digunakan pada saat proses pengkodean dalam sistem ini. Sistem yang dihasilkan kemudian diuji menggunakan metode Black Box dengan 9 skenario dan didapatkan hasil uji 100% berhasil. Penelitian menghasilkan sistem informasi inventory berbasis mobile yang mampu mempermudah proses penjualan menjadi lebih efektif dan efisien, serta membuat pelaporan menjadi lebih akurat dan tepat waktu. Apotek Dewa Sehat Pati dapat mengatasi permasalahan yang ada dengan adanya sistem pemodelan yang telah dibuat.]]>
<![CDATA[Implementation of a Decision Support System with a Simple Additive Weighting Method for the Selection of Quality Bird Breeder ]]>
<![CDATA[Septianto, Naafi]]>;
<![CDATA[Aryanto, Joko]]>
<![CDATA[ Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January ]]>
Publisher : <![CDATA[Universitas PGRI Semarang ]]>
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DOI: 10.26877/asset.v6i1.17816
<![CDATA[Indonesia is a country blessed with abundant natural resources, one of which is the diverse variety of chirping birds that captivate the attention of many. The high demand for these birds has led to a decline in the population of wild chirping birds due to increased illegal capture. To address this issue, bird breeding programs have been implemented. The selection of superior quality chirping birds will determine the offspring produced. Superior quality bird brooders can also increase the selling price of the resulting chicks. Therefore, the determination of superiorquality bird breeders is very crucial for decision makers who are related in this case are chirping bird breeders. If it is not done properly and accurately, the wrong selection of chirping birds often results in various problems. Some of the problems that arise include the results of tillers that have low quality to the difficulty of selling livestock produced tillers. Decision-making models can be used to help chirping bird breeders make decisions. The Simple Additive weighting (SAW) method is expected to be able to help overcome the problems encountered. The purpose of this study was to create a decision-making system for the selection of superior quality chirping birds. It is hoped that there will be no mistakes in the selection of chirping birds.]]>
<![CDATA[Automated Maintenance System For Freshwater Aquascape Based On The Internet Of Things (Iot) ]]>
<![CDATA[El Hakim, Elang Bayu]]>;
<![CDATA[Aryanto, Joko]]>
<![CDATA[ Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January ]]>
Publisher : <![CDATA[Universitas PGRI Semarang ]]>
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DOI: 10.26877/asset.v6i1.17951
<![CDATA[Aquascaping is a hobby that has gained considerable popularity across different age groups, from young to old. Aquascaping itself is the art of arranging plants, water, rocks, coral, wood and other natural elements in glass or acrylic containers. One of the main obstacles in the world of aquascaping is consistency, which is often difficult to achieve when the owner has a busy schedule or limited time. Without the implementation of Internet of Things (IoT) technology and microcontrollers connected to mobile applications, this drawback is even more pronounced. The inability to maintain consistency in maintenance can lead to a decline in aquascape quality, both in terms of aesthetics and ecosystem health. Therefore, an innovative system using IoT is expected to provide a smart solution to overcome the major shortcomings of aquascape maintenance and enhance the experience of this hobby for its enthusiasts..]]>
<![CDATA[Overcoming The Buildup of Queues By Carrying Out the Concept of Self-Service Using Responsive Web-Based Applications ]]>
<![CDATA[Permatasari, Putri Wahyu]]>;
<![CDATA[Aryanto, Joko]]>
<![CDATA[ Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January ]]>
Publisher : <![CDATA[Universitas PGRI Semarang ]]>
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DOI: 10.26877/asset.v6i1.17440
<![CDATA[With today's technological advances, all things can be done with the internet, one of which is a web-based food and beverage menu self-order system. This system was created to make it easier for waiters and customers in the ordering process. Because of the problems that occur today, namely the queue in the ordering process and busy waiters who make customers neglected. Therefore, this system was designed to facilitate service, and waiters no longer need to record food menus manually, customers can also order menus directly through the system without having to queue. Before designing the system, an analysis is carried out first, in the design of the system is designed with a quantitative method where researchers take the necessary data and information by conducting direct interviews with related parties. This system will be designed in the form of a responsive website and designed using the PHP programming language and MySQL which is used as a database storage. With the final result, this system can help and facilitate the ordering process and data collection of incoming orders. And the system can run according to the needs of restaurants and customers who use this system]]>
<![CDATA[Implementation Of A Web-Based Chatbot Using Machine Learning For Question And Answer Services In Universities ]]>
<![CDATA[Dewantara, Airlangga Satria]]>;
<![CDATA[Aryanto, Joko]]>
<![CDATA[ Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January ]]>
Publisher : <![CDATA[Universitas PGRI Semarang ]]>
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DOI: 10.26877/asset.v6i1.17590
<![CDATA[Advances in communication technology in line with information technology, Chatbot is an innovation that combines communication technology and information technology, is an application that can communicate with humans like a virtual assistant who can respond and answer every question asked. A university must already have a website that can be accessed by the general public so that information about the college can be accessed by everyone anywhere and anytime. To make it easier to get information on the website, chatbots can be the solution because most prospective students and students who are on the campus feel reluctant to browse further into the website that has been provided and usually only open the main homepage page of the website. Parents of students also find it difficult to find out what is on campus if a lot of information is provided in certain tabs of the website. In this study, I utilized Chatbot technology which is a Machine Learning that can process every text that inputted then analyze it and conduct machine training using the Neural Network algorithms that have been provided. This research uses a case study methodology, with Yogyakarta University of Technology as the subject, to develop a chatbot website that incorporates machine learning to facilitate the processing of user input questions]]>
<![CDATA[Pengembangan aplikasi berbasis mobile bagi kader posbindu PTM sebagai upaya jemput bola pemeriksaan dan pendataan kesehatan warga ]]>
<![CDATA[Asriningtias, Yuli]]>;
<![CDATA[Aryanto, Joko]]>;
<![CDATA[Hariadi, Dodi]]>
<![CDATA[ KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 7, No 2 (2024): Mei ]]>
Publisher : <![CDATA[Institut Teknologi Dirgantara Adisutjipto ]]>
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DOI: 10.28989/kacanegara.v7i2.1899
<![CDATA[Pola penderita Penyakit Tidak Menular (PTM) di Indonesia menunjukkan pergeseran, sebelumnya didominasi lansia kini menyerang usia produktif. Hal ini menjadi kekhawatiran besar pemerintah mengingat tahun 2030-2040 Indonesia menghadapi bonus demografi. Permasalahan pelaksanaan salah satu Posbindu di Desa Sumberadi, Mlati, Sleman adalah: Inkonsisten waktu pelaksanaan yang seharusnya dilakukan kontinu; kesadaran warga pentingnya pemeriksaan kurang; teknis pendataan dilakukan manual sehingga berdampak kekeliruan pendataan, proses antrian pemeriksaan, rekapitulasi dan tindaklanjut rujukan membutuhkan waktu lama. Kegiatan Pengabdian dilakukan dengan tujuan membantu mengoptimalkan penggunaan teknologi informasi untuk menyelesaikan masalah yang muncul. Solusi penyelesaian masalah adalah dengan membangun aplikasi berbasis mobile dengan fitur yang lengkap, mudah dan nyaman digunakan. Pelaksanaan pengabdian dilakukan dengan beberapa tahapan: persiapan, desain model arsitekur sistem, pengujian sistem, sosialisasi dan pelatihan, pendampingan petugas/mitra. Hasil yang dicapai adalah aplikasi berbasis mobile mampu menggerakkan warga secara aktif dalam pendataan pemeriksaan kesehatan terkait PTM. Prosentase keterlibatan warga meningkat 61%. Hal ini menunjukkan metode jemput bola melalui pemeriksaan berbasis teknologi informasi memberikan hasil yang signifikan. ]]>
<![CDATA[Calorie Intake Monitoring Application Using the Mifflin–St Jeor Algorithm ]]>
<![CDATA[Ariyo Aziz Pratama]]>;
<![CDATA[Joko Aryanto]]>
<![CDATA[ Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025 ]]>
Publisher : <![CDATA[Kirana Publisher (KNPub) ]]>
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DOI: 10.58526/jsret.v4i4.913
<![CDATA[Unbalanced dietary habits are a major factor contributing to health issues such as obesity, malnutrition, and metabolic disorders. These problems often arise from the lack of awareness of daily energy needs, leading to uncontrolled calorie intake. This study aims to develop a calorie monitoring application that assists users in managing their nutritional balance accurately and efficiently. The system implements the Mifflin–St Jeor algorithm to calculate daily energy requirements based on user data, including age, gender, height, and weight. Body Mass Index (BMI) and Total Daily Energy Expenditure (TDEE) are integrated to provide adaptive calorie recommendations according to each user’s activity level. The application was developed using Flutter for the mobile interface and Flask as the backend framework. Validation testing showed a deviation of less than 1% between manual and system calculations, confirming the algorithm’s accuracy and reliability. The results demonstrate that the developed system can deliver personalized and precise calorie recommendations while supporting continuous monitoring of food intake. This approach enables users to maintain energy balance and achieve specific health goals such as weight loss, maintenance, or gain.]]>
<![CDATA[Development of an Indonesian Sign Language Translation Application with Hand Gesture Detection ]]>
<![CDATA[Purwanto, Agus]]>;
<![CDATA[Aryanto, Joko]]>
<![CDATA[ Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025 ]]>
Publisher : <![CDATA[Kirana Publisher (KNPub) ]]>
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DOI: 10.58526/jsret.v4i4.918
<![CDATA[Sign language serves as an essential medium of communication for individuals with hearing impairments. However, limited public understanding continues to create barriers between deaf individuals and the broader community. This study aims to develop an AI-based mobile application capable of recognizing and translating Indonesian Sign Language (BISINDO) gestures in real time. The system integrates the YOLOv8 model for gesture detection within a mobile environment. The YOLOv8n model was trained using the BISINDO dataset and evaluated through precision, recall, and mean average precision (mAP) metrics. The model obtained a mAP@50 of 98% under the given experimental settings. These results indicate that the YOLOv8 architecture can be applied to mobile-based real-time gesture recognition and may serve as a foundation for future research on assistive communication technologies.]]>
