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All Journal International Journal of Informatics and Computation Jurnal Tekinkom (Teknik Informasi dan Komputer) International Journal of Engineering, Technology and Natural Sciences (IJETS) Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Insand Comtech : Information Science and Computer Technology Journal

Joko Aryanto

Universitas Teknologi Yogyakarta

Author-ID : 5533121

Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology

Published : 7 Documents Claim Missing Document

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Articles

K-Means Algorithm with Davies Bouldin Criteria for Clustering Provinces in Indonesia Based on Number of Events and Impacts of Natural Disasters Yuli Asriningtias; Joko Aryanto
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 4 No 1 (2022): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Indonesia has 34 Provinces with a geographical position at the meeting zone of the Eurasian, Indo-Australian, Pacific and Philippine slab, this makes Indonesia vulnerable to the threat of geological disasters. Other disaster threats arise due to climate change and people's bad behavior towards the environment which has an impact on natural and environmental damage. Based on data natural disasters and their impacts over the last five years, a study was conducted to find province clusters that fall into disaster-prone criteria, the number of disaster victims and the impact on building damage caused. The research was conducted using rapidminer tools with the K-Means Clustering algorithm and optimization using the Davies Bouldin Index (DBI). The method used is collecting datasets, preprocessing data, modeling and analyzing DBI. The results, found that the cluster of disaster-prone provinces was East Java, followed by Central Java and West Java. The large number of disaster victims are the provinces of Lampung and West Nusa Tenggara. The biggest impact of damage buildings is the Province of West Nusa Tenggara

PROSES MENEMUKAN POLA DATA BISNIS RITAIL DENGAN PENGEMBANGAN ALGORITMA APRIORI MENGGUNAKAN PENDEKATAN K-WAY JOIN joko Aryanto
Insand Comtech : Information Science and Computer Technology Journal Vol 3, No 2 (2018): INSAND COMTECH
Publisher : Universitas Madura

Persaingan sesama pelaku bisnis retail membuat para pemilik usaha ritel harus bersaing satu sama lain untuk memperoleh pelanggan guna meningkatkan pendapatan, dengan demikian pengelola dituntut untuk melakukan improvisasi dengan langkah yang efektif dan efisien. Algoritma Apriori merupakan metode dasar di dalam data mining. Prinsip yang digunakan algoritma Apriori adalah jika sebuah itemset sering muncul, maka seluruh subset dari itemset tersebut juga harus sering muncul. Hal ini mengakibatkan pengecekan yang berulang-ulang dan akan membutuhkan waktu yang tidak sebentar. Sebuah metode diusulkan untuk dapat memecahkan masalah ini, yaitu dengan melakukan pengembangan atau modifikasi pada algoritma Apriori tersebut, khususnya dalam proses penghitungan nilai support dan confidance. Metode yang digunakan adalah memanipulasi penggunaan bahasa query memanfaatkan teknik k-Way untuk optimasi susunan yang sesuai. Hasil yang didapat pada penelitian ini adalah waktu eksekusi relatif lebih cepat, dan hasil aturan asosiasi yang sama dengan yang dihasilkan oleh metode Apriori tanpa adanya pengembangan atau modifikasi.Kata Kunci : Data Mining, Improvisasi Apriori, Algoritma Association rule, Pengembangan Apriori, k-way.

Designing Query Optimization for Scheduling the Lecture Across Faculties and Study Programs Joko Aryanto; Ahmad Tri Hidayat
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 3 No 1 (2021): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

One of the implementation models of combinatorial optimization that has a high complexity is the preparation of lecture schedules. Scheduling optimization needs to be optimized based on the schedule reference constraints. This study aims to design an optimization model with dynamic scheduling slots every day. The method used is query re-optimization with schedule distribution in accordance with predetermined limits. The models designed include space models, lecture times, and schedules. The model uses data that is in sync with the schedule, such as classrooms (theory and practice), credit and course loads (odd and even), lecturer schedules (teaching) and course time slots, as well as lecture sessions per day. This research is able to produce an optimal class schedule with all combinations of plotted schedules. The results of plotting the schedule are as desired and there are no conflicting schedules.

Monitoring and Automation System for Bird Feeding and Drinking Based on Internet of Things Using ESP32 Allieffa Salsabilla Pradisthi; Joko Aryanto
Advance Sustainable Science Engineering and Technology Vol 5, No 3 (2023): August-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v5i3.17182

Birds are vertebrate animals characterized by feathers and wings. Their melodious sounds and colorful plumage make them a popular choice for bird breeders, which presents a promising business opportunity. Manual feeding and drinking requires farmers to feed and drink every day, which often results in delayed feeding and drinking or inconsistent dosing, causing birds to become susceptible to disease and death. Therefore, this study is intended to create an automated system for monitoring feed and drink at predetermined times utilizing the Internet of Things (IoT) concept. The system's schedule can be remotely accessed and monitored through a website, and it operates in real-time without requiring manual intervention. This allows farmers to monitor and provide birds with food and water even from a distance. The Internet of Things (IoT) system utilized in this research employs an ESP32 microcontroller as the primary controller, which connects to a Wi-Fi network. It features a servo motor designed to refill bird feeders and drinkers. Further, a mini pump is used to replenish water in the drinker based on the owner's predetermined schedule set via the application. The research concludes that the tool functions based on the input time on the website. The system sends notifications to the breeder's smartphone regarding successful feeding and drinking, with an error rate of less than 20% in system testing and over 80% accuracy in system functioning. The outcome is in the form of a tool dispensing feed and drink daily, in accordance with the breeder's specified hours

Implementasi REST API Web Services pada Aplikasi Sumber Daya Manusia Roselilie Simbulan; Joko Aryanto
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 1 (2024): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i1.511

Human resources management is a vital component within any organization, serving as a valuable asset and a driving force. However, many companies face challenges when it comes to managing employee data, processing leave requests, and generating accurate salary reports, often relying on cumbersome manual processes. This research aims to address these challenges by implementing a REST API (Representational State Transfer Application Programming Interface) in a web-based human resources application. The REST API is carefully built using the Laravel framework, adhering to REST architecture principles to ensure security during internet-based information exchange. The development methodology employed for this application is the waterfall method, a sequential and structured approach to software development. Through these enhancements, this application is expected to significantly assist HR departments in efficiently managing employee data, expediting leave request processing, and simplifying the generation of comprehensive reports. The anticipated outcomes of this research are expected to equip HR professionals with the necessary tools to efficiently navigate these intricate tasks, ultimately enhancing organizational efficiency and effectiveness.

MENGGALAKKAN KEPARIWISATAAN KABUPATEN BIMA DENGAN KONSEP PENYEBARAN INFORMASI WISATA MENGGUNAKAN MODERNISASI WEBSITE Layati Layati; Joko Aryanto
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.1027

Bima Regency has a lot of tourist attractions, but there are still many people who do not know about them, including the people of Bima itself and also from outside the region, because of the difficulty of getting information about tourist attractions in Bima Regency. This research aims to create a web-based Bima Regency tourism information system that can introduce various tourist attractions to the wider community in order to improve the performance of tourism marketing in Bima Regency. This tourism information system was built using the PHP programming language and MySQL as the database. The system development method used is waterfall, which consists of the stages of needs analysis, system design, coding, testing, and maintenance. The tourist data displayed includes descriptions of attractions, locations, accessibility, facilities, costs, and documentation in the form of photos. The result of the research is an information system that can help make it easier for tourists to get information about tours in Bima district, and this website makes it easier for tourists from outside the area to book tour packages and hotel reservations.

Implementation of KNN Algorithm for Occupancy Classification of Rehabilitation Houses Nurhadi Wijaya; Joko Aryanto; Kasmawaru Kasmawaru; Anang Faktchur Rachman
International Journal of Informatics and Computation Vol. 4 No. 2 (2022): International Journal of Informatics and Computation
Publisher : University of Respati Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/ijicom.v4i2.36

The 2010 eruption of Mount Merapi and the resulting rain lava in Central Java's Kab. Sleman DIY and Magelang Regency damaged homes and infrastructure. According to the Head of BNPB Regulation No. 5, the Community Rehabilitation and Reconstruction and Community-Based Settlement program plan is utilized to repair and rebuild properties damaged by the 2011 Merapi eruption. Two thousand five hundred sixteen residences that will stay in the area have been built permanently due to this initiative. Occupancy rates (permanent occupancy) are used by the World Bank's Key Performance Indicators (KPI) to gauge a program's effectiveness. The database has information on how the software was used and proved successful. Databases, essential tools for introducing new data patterns and revealing previously hidden information, are used in data mining. This study applies the KNN algorithm to classify the house's occupancy status data after Mount Merapi's eruption. The accuracy results obtained from the classification of 82.03%, and the performance of the results through the AUC obtained a value of 0.935.

Co-Authors Ahmad Tri Hidayat Allieffa Salsabilla Pradisthi Anang Faktchur Rachman kasmawaru kasmawaru Layati Layati Roselilie Simbulan Wijaya, Nurhadi Yuli Asriningtias

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