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All Journal Jurnal Teknologi dan Manajemen Informatika REKAYASA Jurnas Nasional Teknologi dan Sistem Informasi Edu Komputika Journal Sistemasi: Jurnal Sistem Informasi JIKO (Jurnal Informatika dan Komputer) INOVTEK Polbeng - Seri Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer INTEK: Informatika dan Teknologi Informasi Jurnal Linguistik Komputasional JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Jurnal Tekinkom (Teknik Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) International Journal of Engineering, Technology and Natural Sciences (IJETS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JUKI : Jurnal Komputer dan Informatika International Journal of Business, Humanities, Education and Social Sciences (IJBHES) Indonesian Journal of Data and Science TIN: TERAPAN INFORMATIKA NUSANTARA Infotek : Jurnal Informatika dan Teknologi Teknika Science in Information Technology Letters Journal of Social Research Journal Of World Science Jurnal Informatika Teknologi dan Sains (Jinteks) NERO (Networking Engineering Research Operation) SmartComp Jurnal Informatika: Jurnal Pengembangan IT International Journal of Artificial Intelligence in Medical Issues
Adityo Permana Wibowo
Universitas Teknologi Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Pengembangan Aplikasi Pendataan Komplain Warga Berbasis Android (Studi Kasus : Desa Babadan, Bantul) Pratama, Khrisna Yudha; Wibowo, Adityo Permana
Rekayasa Vol 16, No 3: Desember 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v16i3.19989

Abstract

Complaints are quite an important thing in a village community services, with the submission of complaints, allows community administrators to improve the quality of the village and solve many common problems. A slow response in handling complaints can give a bad image to the village administrators. Babadan Village is one of the villages in Bantul Regency, Yogyakarta. In this village, complaints are sent by the villagers by contacting the head of the village through the social media WhatsApp. However, over time this method is no longer considered effective, and causes a lack of responsiveness in handling complaints. Therefore, through the development of this application, it can hopefully facilitate the villagers in submitting complaints to the administrator and can also make the administrator faster in handling complaint reports from its villagers. The systems planning begins with analyzing the current system, prototyping, testing, and then ends with implementation. Then the development method of android mobile-based applications will be done by applying the RESTful API Technology.  Based on the results given from this study, the application was able to function in line with the objectives that have been described.
Penerapan Teknologi Augmented Reality Untuk Aplikasi Pengukuran Panjang Suatu Objek Ifannur, Muhammad Taufik; Wibowo, Adityo Permana
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 1 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i1.23908

Abstract

Length measurement is an activity to determine the length value of an object, surface, or other object. The measurement process generally requires conventional length measuring tools such as a ruler or ruler, tape measure, or calipers. Length measurements will experience problems when conditions do not allow the use of conventional measuring instruments due to position factors, the size of objects or surfaces that are too large and difficult for one person to reach, or differences in results obtained when measuring using non-standard units which cause uncertainty the measuring value. Augmented Reality is a technology that allows users to see the real world combined with virtual objects without changing the real world as the main environment. This technology also allows the length measurement process to be carried out using virtual objects as measurement markers and provides real-time measurement results without using conventional length measuring instruments. The results obtained are a length measurement application that can run by relying on virtual objects in the form of pointers which are placed as markers and connected by lines to obtain information in the form of the value of the measurement results. With an average accuracy level of 98.03%, this length measurement application can be used as an alternative medium for carrying out the length measurement process.
Pengenalan Wayang Kulit Berbasis Augmented Reality Sebagai Media Pelestarian Wayang Kulit Putra, Elvanda Adi; Wibowo, Adityo Permana
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 13, No 1 (2024): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v13i1.5167

Abstract

Wayang kulit adalah sebuah budaya asli Indonesia yang beasal dari Jawa. Wayang kulit sendiri merupakan boneka yang terbuat dari kulit sapi atau kerbau yang digerkan oleh orang yang disebut dalang. Saat ini wayang mulai kehilangan popularitasnya di kalangan anak muda. Anak muda lebih menyukai budaya luar negeri daripada budaya asli Indonesia. Jika hal ini terus terjadi maka budaya wayang yang telah diakui dunia pun akan punah karean tidak ada generasi penerusnya. Oleh karena itu, maka dibuatlah sebuah aplikasi pengenalan wayang kulit menggunakan teknologi Augmented Reality. Aplikasi pengenalan wayang kulit ini dapat digunakan pada smartphone sehingga kita tidak perlu lagi datang ke museum untuk melihat dan mempelajari wayang kulit. Aplikai augmented reality ini dibuat dengan mengguanakn metode markerless atau tanpa menggunakan penenda untuk memeunculkan objek 3d sehingga pengguna aplikasi ini tidak perlu repot-repot membawa marker untuk memunculkan objek 3d. Denagn adanya aplikai ini maka diharapkan para generasi muda dapat mengenal wayang kulit lebih jauh lagi dan wayang kulit dapat terus dilestarikan.
Aplikasi Pendataan Kondisi Hewan Ternak Berbasis Android Menggunakan RestApi Firebase Barus, M Akmal Shievo; Wibowo, Adityo Permana
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 13, No 2 (2024): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v13i2.6043

Abstract

Penelitian ini adalah penelitian yang dilakukan untuk mengembangkan dan mengimplementasikan sistem pendataan dan mengetahui hasil pengujian aplikasi pendataan hewan ternak di kampung ternak jogja. Permasalahannya adalah pada Peternakan yang ada di kampung ternak jogja masih belum mempunyai sistem pendataan hewan ternaknya sendiri, karena memang untuk pendataan hewan ternak belum ada di kampung ternak jogja itu sendiri. Dengan begitu penulis ingin mengembangkan dan mengimplementasikan aplikasi pendataan berbasis android oleh penulis untuk digunakan pada kampung ternak jogja ini. Penerapan penelitian yang dipakai oleh penulis menggunakan REST API Firebase dari Realtime database. Proses pendataan yang diterapkan oleh penulis pada kampung ternak jogja berupa data hewan ternak yang akan selalu dikirimkan setiap harinya menggunakan aplikasi. Data ini nantinya akan ditampilkan dan akan dimonitor oleh admin yaitu BPK. Bambang itu sendiri sebagai ketua perkumpulan peternak di kampung ternak jogja. Penggunaan aplikasi ini sangat sederhana dan mudah karena para peternak hanya menginputkan hasil pendataan setiap harinya pada setiap sapi dan kambing. Data yang diinputkan berupa pakan yang digunakan oleh peternak, jumlah kematian, jumlah hewan yang terkena penyakit, dan kondisi hewan ternak tersebut. Proses kegiatan tersebut akan selalu memperluas dan memantau agar kualitas dan perkembangan hewan ternak tersebut baik.
Utilization of Augmented Reality Technology on Android-based Fashion Catalog Application Kuncorojati, Fariz Wahyu; Wibowo, Adityo Permana
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3095

Abstract

Fashion is a primary need for society, especially teenagers. One way to look attractive is to wear clothes that follow the trend. Many clothing stores compete with certain promotional methods. Many strategies are used to promote products fashion one way is through the catalog. View catalog fashion presented in the form of print media may be commonly used in stores to describe products fashion to consumers. The purpose of this study is to generate applications that can be used to find out product models in detail by utilizing technology augmented reality. The observation method was carried out by collecting fashion product data from several fashion stores such as Erigo Store and Uniqlo CO. -The literature study approach is used by gathering information from various journals and papers from Google Scholar. With the Android-based application system using technology augmented reality as a promotional media for clothing sales, it can facilitate fashion products promotion for the stores and make it simpler for prospective customers to identify models and motifs and see the 3-dimensional shape of clothing products without needing to visit the retailer. From the outcomes of the black box testing that has been performed, the fashion catalog application uses augmented reality, is free from functional errors and is able to display all 3D objects of the product fashion which is already stored in the Vuforia database.
Implementasi Aplikasi Berbasis Mobile Untuk Pelayanan Jasa Kesehatan Primin, Bella; Wibowo, Adityo Permana
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.5076

Abstract

Health is one of the important aspects of society's life. Karangampel Health Center is one of the health centers that provide public health services in general. There are several health services provided by the puskesmas including regular medical practices, specialist doctors practices, KIA service practices (Mother and Child Health), and KB service practices. Currently, the queue system at the puskesmas does not yet use the computerization so it is less effective. Many patients who have signed up complain because they don't know for sure the operational schedule at the health center. The purpose of this study was to build a mobile-based computerization application that contains information about the doctor's practice schedule, registering online, the patient's examination history, as well as submitting an online reference letter. The app also had a feature to get an ambulance call quickly. This research method includes observations and System Designers using Systems development of life cycle (SDLC) by the prototype method, and the creation of the system so that it produces a Mobile-based puskesmas information system. Applications are made, then the test is carried out using a black box. The test results result in a value of 80% so it shows that the application is worth using
Penerapan Laundry Management System Web-Mobile Menggunakan Metode Waterfall dengan Evaluasi TAM dan Blackbox Testing Pangesty, Shandika Sayyid Ammar; Wibowo, Adityo Permana
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8731

Abstract

The main problems faced by Mulia Laundry stem from business processes that are still carried out manually, including service recording, inventory management, and customer transactions. This situation reduces operational efficiency, increases the possibility of recording errors, and hinders service speed. Therefore, the purpose of this study is to develop and implement a web- mobile based Laundry Management System that can automate the entire laundry business process to be more efficient, accurate, and integrated. The system is designed using a client-server architecture through REST API, with a structured software engineering approach through Unified Modeling Language (UML) modeling and using the Waterfall model Software Development Life Cycle (SDLC) development method. The main features of this system include customer management, services, inventory, transactions, and real-time order status tracking. The system was evaluated using Blackbox Testing, which showed that all features operated according to specifications without any errors in the main application processes. In addition, user acceptance testing using the Technology Acceptance Model (TAM) obtained an average perceived usefulness (PU) score of 4.67 and a perceived ease of use (PEOU) score of 4.47, both of which are in the excellent category. The results of this study indicate that the system is well accepted by users and can prove its effectiveness in improving operational efficiency and supporting the digitization of business processes in laundry MSMEs.
Sistem Informasi Rental PlayStation Berbasis Client-Server: Evaluasi Penerimaan Pengguna Menggunakan Technology Acceptance Model Setyadi, Dian Febry; Wibowo, Adityo Permana
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8743

Abstract

Effective operational management is a critical aspect in the PlayStation rental business as it plays a role in ensuring service smoothness and supporting comprehensive business oversight. At Bossman PlayStation, operational processes are still managed manually using conventional recording methods. This condition results in slow customer service (average 4 minutes per transaction), vulnerability to transaction and inventory recording errors (3-5 errors per week) that potentially cause financial losses, and limited owner capability to monitor business development in real-time. This study aims to design an integrated information system with a client-server architecture whose solution includes two main platforms: Mobile Application to accelerate daily employee operations, and Web Application focused on monitoring and approval functions by the owner. The system design uses a UML-based approach to model requirements and workflows, utilizing WebSocket technology to provide real-time unit status updates and database triggers to automate business rules such as stock updates. The achieved result is a mature and detailed system design, where all main workflows including two rental models, sales transactions, to approval processes have been clearly defined and are ready for implementation. Functional testing showed 100% success in 10 main scenarios, and user acceptance testing (TAM) obtained a score of 4.525/5.0. The system successfully reduced transaction time to 1 minute and eliminated recording errors.
The Improvement of Artificial Neural Network Accuracy Using Principle Component Analysis Approach Arief Hermawan; Adityo Permana Wibowo; Akmal Setiawan Wijaya
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 22 No. 1 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i1.1880

Abstract

An important problem in a classification system is how to get good accuracy results. A way to increase the accuracy of a classifier system is to improve the number of input data attributes. Improving the number of input data attributes can be done using the Principal Component Analysis (PCA) method. The aim of this research is to reduce the number of input data attributes to increase the accuracy in a mushroom classification system. The research method used in this study started from collecting datasets from Kaggle.com related to mushroom-classification, then the data visualization process was carried out using pie charts then a dimension reduction process was carried out to reduce the number of variables using the PCA method. The next step is the training and testing of the artificial neural network. The architecture of artificial neural network used is backward error propagation with the number of hidden layers as much as 2 layers with the number of cells as many as 3 and 2. The training data used is 80%, while the testing data is 20%. Based on the test results, obtained an accuracy of 100% with 150,000 iterations and using 11 input variables from 22 existing input variables. By adding Principal Component Analysis part of the development that can improve the accuracy and performance of Artificial Neural Networks
Machine Learning-Based Clustering of Viruses Using Taxonomic and Genomic Features for Health Informatics Applications Adityo Permana Wibowo; Made Leo Radhitya; Edi Faizal; Ika Arfiani
International Journal of Artificial Intelligence in Medical Issues Vol. 4 No. 1 (2026): International Journal of Artificial Intelligence in Medical Issues
Publisher : Yocto Brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijaimi.v4i1.438

Abstract

Viruses remain a major concern in global public health due to their potential to cause outbreaks, epidemics, and pandemics. The rapid organization and analysis of virus-related data are important for supporting computational virology, health informatics, and pandemic preparedness. This study proposes an unsupervised machine learning approach to cluster viruses based on taxonomic and genomic characteristics. The dataset consisted of 70 virus records with attributes including family, genus, genome type, strand type, and envelope status. Since the dataset did not contain predefined epidemiological labels or risk categories, the analysis was designed as an exploratory clustering task rather than a supervised prediction task. Data preprocessing was performed by removing duplicates, handling missing values, standardizing categorical attributes, and transforming selected features using One-Hot Encoding. Three clustering algorithms were evaluated, namely K-Means, Agglomerative Clustering, and DBSCAN. The clustering performance was assessed using Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Score, while Principal Component Analysis was applied for two-dimensional visualization. The results showed that K-Means with 10 clusters achieved a Silhouette Score of 0.7725 and a Davies-Bouldin Index of 0.8186. Agglomerative Clustering obtained the highest Silhouette Score of 0.7754, while DBSCAN produced fewer clusters with lower overall performance. Several biologically meaningful groups were identified, including clusters representing Flaviviridae, Coronaviridae, Herpesviridae, Poxviridae, and enveloped RNA viruses. However, a large proportion of records contained unknown values, which influenced the formation of a dominant incomplete-data cluster. These findings indicate that taxonomic and genomic features can support machine learning-based virus grouping, although data completeness remains a critical factor. This study provides an initial computational framework for AI-driven viral data exploration and may serve as a foundation for future viral risk stratification using enriched epidemiological and clinical features.
Co-Authors AA Sudharmawan, AA Achmad Safruddin Ahmad Fathan Hidayatullah, Ahmad Fathan Ahmad Naswin Akmal Setiawan Wijaya Albertus Carloson Fallo Allam, Sayyidan Fahd Arief Hermawan Arif Amrulloh Barus, M Akmal Shievo Bella Primin Donny Avianto Dwita Dhara Nanda Edi Faizal Ery Setiyawan Jullev Atmadji Hamzah Fachrurozi Ifannur, Muhammad Taufik Ika Arfiani Imantoko Imantoko Kuncorojati, Fariz Wahyu Kustrianugraha, Afri Fajar Kusumastuti, Asriana Dyah Luh Putu Ratna Sundari M. Raihan Alghifari Medi Taruk Muhammad Fachrie Muhammad Habibi Muhammad Insan Kamil, Muhammad Insan Nararya Budiyono Nastiti, Kartika Rizqi Nugroho, Bagus Candra Nur Hidayati Pangesty, Shandika Sayyid Ammar Pratama, Khrisna Yudha Primin, Bella Putra, Elvanda Adi Putra, Muhammad Fakhri Despawida Aulia Radhitya, Made Leo Raihan Anmar Widyasmoro Rianto Setyadi, Dian Febry Sri Hartati Sri Wulandari Suryo Sudiro Sutarman Sutarman Tamam Huda, Muhammad Tarigan, ⁠⁠Thomas Edyson Tri Waluyo Wiwik Handayani