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All Journal Teknik dan Ilmu Komputer Jurnal Ilmiah Matrik JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI METIK JURNAL MDP Student Conference
Genrawan Hoendarto
Universitas Widya Dharma Pontianak
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering

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APLIKASI SISTEM PERANGKAT LUNAK MENGGUNAKAN ALGORITMA ANT UNTUK MENGATUR PENJADWALAN KULIAH Saragih, Hoga; Hoendarto, Genrawan; Reza, Bobby; Setiyadi, Didik
Teknik dan Ilmu Komputer vol. 1 no. 3 July-September 2012
Publisher : Teknik dan Ilmu Komputer

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Abstract

Ant algorithm is one of Swarm Intellingence algorithms that can be used to solve NP-Hard problems. The scheduling of courses and lecturers which are done routinely each semester can be solved by exact methods and heuristic methods. Each institution has its own constraints in arranging the schedule. This paper discusses a case study in STMIK Widya Dharma. The type of ant algorithm used is the Rank Base Ant System suitable for scheduling based on ranking, which is the lecturers’ priority level. The other parameters are subjects, space, and time. It is expected that the software being analyzed with Ant algorithms can provide solutions to the scheduling problem. Keywords:   university timetable course,  An algorithm, ASRank
Aplikasi Mobile Money Management Dengan Fitur Optical Character Recognition Menggunakan Framework React Native Susana Lin; Genrawan Hoendarto
METIK JURNAL Vol 5 No 2 (2021): METIK Jurnal
Publisher : LP3M Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v5i2.291

Abstract

Financial management is one of the important things in the process of achieving the financial goals of a person or an organization. Everyone has their own way to manages finances, this is dependent on the character and they goals. Financial management can be done conventionally, for example by manual method which is commonly done by write the expenses, income, and savings in a notebook. However, if the note must contain details of the transactions carried out, it can be considered less efficient. The use of Optical Character Recognition will be able to answer this problem, by taking a picture of the transaction, all transaction details will be recorded on the smartphone, and the user can validate the results obtained and save the record on the smartphone user. Users can also immediately see the total transactions made according to the selected time range without having to calculate each transaction made manually. The application will be designed using the react native framework which allows it to run on various platforms.
Distance Correlation-Based Regression Tree Algorithm For Structural Damage Detection Jimmy Tjen; Genrawan Hoendarto; Tony Darmanto; Thommy Willay
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 2 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i2.5402

Abstract

This paper proposes a novel idea of a fault detection algorithm based on the Regression Tree (RT) algorithm from the decision tree learning and the distance correlation, which is the nonlinear version of Pearson’s correlation, to reduce the number of sensors without significantly decreasing the model predictive accuracy and the fault diagnosis capability. A numerical validation on an experimental dataset provided by the Los Alamos National Laboratory (LANL) with MATLAB software shows that the proposed algorithm has a comparable model predictive accuracy to the classical RT while requiring a smaller number of sensors (5 instead of 24) and more robust in detecting faults with false negative and positive rates < 15%. Furthermore, we demonstrate that our proposed algorithm runs about 4 times faster than the classical RT on an experimental dataset with 4096 samples on an 8-core, 16 GB RAM machine. In a real-life setup, the proposed algorithm can be used to provide a sensor installment plan on a structure. Such that, the user can still monitor the presence of a fault inside a building precisely, but with a cheaper maintenance cost.
RANCANG BANGUN APLIKASI PENGENALAN WAJAH UNTUK PASSWORD FILE DENGAN METODE JARINGAN SYARAF TIRUAN Genrawan Hoendarto; Vicni Iskandar
Jurnal Ilmiah Matrik Vol 21 No 1 (2019): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1005.384 KB) | DOI: 10.33557/jurnalmatrik.v21i1.521

Abstract

Data security for computer users is increasingly becoming a concern because it is increasingly vulnerable to illegal access even though the file has been protected with a password. This is possible with the increasing number of applications aimed at hacking owner protection. Artificial neural network that was appointed in this study is one part of computer vision, which in this study is intended to make computers able to "see" through a webcam and recognize that face has access rights to the selected file. So that computers can distinguish facial images, it needs to be trained by applying the back propagation method. The reason for choosing facial recognition is because each person has a different face, so that it can be a more effective security key than conventional methods of making or accessing files that are on a computer.
Penggunaan Algoritma Binary Search Pada Aplikasi Kamus Bahasa Teochew Clesya, Clesya; Hoendarto, Genrawan; Sudjalmo, Sugito
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11237

Abstract

The preservation of regional languages, especially the Teochew dialect spoken in Pontianak City, Indonesia. Has been impacted by globalization and technological developments. Because of environmental forces that force them to adopt Indonesian, the younger generation hardly ever employs the Teochew dialect nowadays. The Teochew dialect risks extinction over time if it is not given proper consideration right now. The goal of this project is to create a Teochew digital dictionary application that can be utilized as a learning tool and is anticipated to help conserve the language in order solve these issues. The Binary Search technique was used in the design of the Teochew language dictionary application. By using the Binary Search method, a faster and more efficient word search can be ensured. In order to optimize the Binary Search, the dictionary database used provides essential Teochew language vocabulary that has been organized alphabetically. The test results show the Binary Search algorithm can recognize words more quickly than Sequential Search, so this makes it suitable for dictionary applications that require to find words more efficiently. It is expected that this application would serve as a means of education and aid in the preservation of Teochew culture and language.
Smart Microalgae-Based Air Purification: A Self-Sustaining Alternative to Household Plants Ferdynand, Hosea; Hoendarto, Genrawan; Chang, Calvin
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11239

Abstract

A self-sustaining, Internet of Things-integrated microalgae photobioreactor (PBR) is proposed in this study as an alternative to traditional household air purifying plants. In order to optimize microalgae development while reducing human involvement, the system combines a tubular PBR with an automatic water exchange mechanism and real-time IoT monitoring. CO₂-enriched air is continuously injected by an air bubbler, boosting photosynthesis and oxygen production. A drainage system eliminates extra water to preserve nutritional balance, and a water replenishment tank with a solenoid valve ensures controlled water exchange. Essential variables such as pH, turbidity, dissolved oxygen, and CO₂ concentration are monitored by the IoT system, which also provides alerts when maintenance is required. Purified air may naturally diffuse thanks to the passive air gap, which ensures continuous air filtration. By utilizing biotechnology and intelligent automation, this low-maintenance, sustainable system provides an efficient automated alternative for conventional plants in indoor air purification.
Co-Authors Bobby Reza Chang, Calvin Clesya, Clesya Didik Setiyadi Ferdynand, Hosea Hoga Saragih Jimmy Tjen Sudjalmo, Sugito Susana Lin Tony Darmanto Vicni Iskandar Willay, Thommy