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Implementation of a Decision Support System with a Simple Additive Weighting Method for the Selection of Quality Bird Breeder Septianto, Naafi; Aryanto, Joko
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17816

Abstract

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.
Automated Maintenance System For Freshwater Aquascape Based On The Internet Of Things (Iot) El Hakim, Elang Bayu; Aryanto, Joko
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17951

Abstract

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..
Overcoming The Buildup of Queues By Carrying Out the Concept of Self-Service Using Responsive Web-Based Applications Permatasari, Putri Wahyu; Aryanto, Joko
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17440

Abstract

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
Implementation Of A Web-Based Chatbot Using Machine Learning For Question And Answer Services In Universities Dewantara, Airlangga Satria; Aryanto, Joko
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17590

Abstract

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
Pengembangan aplikasi berbasis mobile bagi kader posbindu PTM sebagai upaya jemput bola pemeriksaan dan pendataan kesehatan warga Asriningtias, Yuli; Aryanto, Joko; Hariadi, Dodi
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 7, No 2 (2024): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v7i2.1899

Abstract

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. 
Calorie Intake Monitoring Application Using the Mifflin–St Jeor Algorithm Ariyo Aziz Pratama; Joko Aryanto
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.913

Abstract

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.
Development of an Indonesian Sign Language Translation Application with Hand Gesture Detection Purwanto, Agus; Aryanto, Joko
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.918

Abstract

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.