Article Per Year (5 Year)
p-Index From 2019 - 2024
3.69
P-Index
This Author published in this journals
All Journal Jurnal Infra
Djoni Haryadi Setiabudi
Program Studi Informatika
Computer Science & IT

Published : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 27 Documents
Search

 1   2   3 
Sistem Monitoring Solar Charge Controller Menggunakan Raspberry Pi 3 Secara Mobile Aldo Kris Barlianto; Djoni Haryadi Setiabudi; Resmana Lim
Jurnal Infra Vol 9, No 1 (2021)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In monitoring the charging of power source using solar panels, it is very important to find out the process of charging resources. Research about monitoring process has been carried out previously, but the monitoring process still depends on other software, and it cannot be done by mobile. In this research, the monitoring of solar charge controller will be carried out where user is no longer depends on additional applications / software and also can be done via PC / smartphone.The solar charge controller itself comes with a factory default software for data monitoring, but the usage of the application is very limited to the wiring system and also the monitoring process cannot be carried out by mobile. This research aims to be able to carry out the monitoring process by mobile using Raspberry Pi, so that users are no longer limited by wiring system and monitoring can be done in application which based on mobile web application, so that users can find out the monitoring process from a website on a desktop and also via smartphone.Through several test that has been held, it can be concluded that monitoring process can be done online using Raspberry Pi and modbus rs485 devices in mobile web application. The power parameters taken by the application are solar voltage, solar current, battery voltage, charge current, and load power. The application is also able to run / monitor several existing devices or more than one device in one application. During testing process, it is using 1 scc device and for other devices using a virtual device. The result of the percentage error from the measurement of the monitoring device is the reading of the solar voltage parameter data has an accuracy rate of 99.26% with an average 0.1 V selection, solar current has an accuracy rate of 95.6% with an average difference of 0.03, and the battery voltage has an accuracy 96.31 with an average difference of 0.18V.
Penerapan QRCode Untuk Presensi Mata Kuliah Mahasiswa Dengan Yii Framework Kristian Suryajaya The; Djoni Haryadi Setiabudi; Justinus Andjarwirawan
Jurnal Infra Vol 8, No 1 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this Presence activity it is still done manually and still uses paper for the Presence system, and there are still many cheats in the Presence process. There are several studies that have used the Yii Framework for the Presence system but in that study it was still less successful in overcoming the problem well and the lack of features that prevented fraud in the presence. This research was made by conducting a literature study on previous research studies aimed at learning in the framework and learning about the presence system, then an analysis of the old system, problem analysis and needs analysis will be made and a website for the presence system with QRCode using the framework yii , and the system will be tested whether the system is suitable for use. The results obtained from this application are students can attend online using QRCode and check according to the location of the student and the time at the time of attendance.
Aplikasi Inventory Control Pada Multistore CV.Plastik Tommy Hartanto Salim; Andreas Handojo; Djoni Haryadi Setiabudi
Jurnal Infra Vol 8, No 1 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The need for information in this era of globalization needed a breakthrough that could facilitate the acquisition of information, along with the various methods done to develop knowledge and information in Inventory Control. He did this research because of the stock information on CV. Plastic is not managed properly, so often the buildup of goods in the warehouse CV. Plastic, as well as uncomputerised stock logging.Inventory Control system using Fixed Order Quantity (FOQ) and forecasting method, can help to manage information in stock logging, assist in the operation of stock transaction in stock order, stock procurement, storage Stock, and stock mutation, and to support the sales process on CV. Plastic.The results of the research indicated by the calculation of FOQ, safety stock, and ROP can be used to prevent excess stock, lost stock, damaged stock and anticipate out of stock. Forecasting that can be used is trend forecasting because it has only error 6%.
Klasifikasi Motif Batik menggunakan metode Deep Convolutional Neural Network dengan Data Augmentation Samuel Febrian Tumewu; Djoni Haryadi Setiabudi; Indar Sugiarto
Jurnal Infra Vol 8, No 2 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Related researches before used Convolutional Neural Network (CNN) VGG to classify batik motif which limited only on geometrical pattern and implemented 2 augmentation consist of scale and rotation. Therefore, this research uses CNN Residual Network (Resnet) with 4 augmentation technique on both geometrical and non geometrical batik pattern.This research use (Resnet) as a main architecture of CNN to identify batik pattern. Batik motives for this research are from geometric category which is ceplok, kawung, lereng, nitik, and parang. And from nongeometri category are semen and lunglungan. Furthermore, the dataset will be applied scale, random erase, rotation, and flip augmentation to increase the quantity and variation of batik dataset.The results show that CNN Resnet with data augmentation on training dataset gives accuracy up to 84,52% on Resnet-18 and 81,90% on Resnet-50. furthermore, rotation augmentation adds 4,06%, random erase augmentation adds 9,38%, scale augmentation adds 6,52%, and flip augmentation adds 8,58% on accuracy
Penerapan Finite-State Machines untuk Peningkatan Performa Frame Per Second dalam Game Multiplayer Real Time Strategy Nicholas Sutikno; Djoni Haryadi Setiabudi; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 7, No 2 (2019)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.603 KB)

Abstract

Games are in great demand from children to adults and games can also be played from several available platforms such as PC, mobile and console. Games have various genres such as Action, Adventure, RPG, Strategy, and many other types of genres for games. The purpose of this paper is to apply Finite-State Machines to improve FPS performance in games so that the game becomes light and comfortable to play. In previous studies FSM was used for testing AI algorithms and to assist in story formation introduce history in the game. Finite-State Machines are a method or design that will be created and implemented so that AI can make its own decisions based on predetermined conditions. Using the Finite-State Machines method because only one task is actively read so that other tasks are not read by AI in the program and light computing.The game genre that will be implemented in the game is the Real Time Strategy entitled "Attack on Toys". In the game there was a decrease in FPS performance because of the many soldiers in the game. Because this was implemented by FSM to improve the performance of the Game and the Game must still be fun when played by the player. FPS performance testing by comparing games without using FSM, using the first FSM design, and using a second design. Questionnaire testing was also conducted to find out whether the game was fun and whether the AI could work well when the game was played.Test results after the implementation of Finite-State Machines that from the results of comparison testing can increase FPS performance by up to 90%. Based on the results of the Game questionnaire it is still fun to play and AI continues to work as expected when played by players after the implementation of Finite-State Machines without reducing the quality of the game itself.
Sistem Pakar Diagnosa Kerusakan Pada Gitar Menggunakan Metode Forward Chaining dan Certainty Factor Billy Gracia; Djoni Haryadi Setiabudi; Justinus Andjarwirawan
Jurnal Infra Vol 9, No 1 (2021)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The guitar is a musical instrument that is in demand by many parties, from beginner to professional musicians. But any musical instrument including the guitar will not be free from damage. There are still many musicians who are confused about the damage they have suffered and do not know what to do with the symptoms they are experiencing. Similar research has been made, namely the application for diagnosing damage to guitars, some using the forward chaining method, some using backward chaining, or dempster-shafers, but in similar studies there is no percentage or level of confidence that can convince users of the diagnostic results, and the user cannot choose how sure to experience the symptoms that occur. Therefore, an expert system is needed to diagnose guitar damage by selecting the symptoms experienced according to the level of confidence, which can detect the damage that occurs and the percentage level of system confidence in the results of the diagnosis to convince the user of the results of the diagnosis..The expert system in diagnosing guitar damage is equipped with Forward Chaining and Certainty Factor methods. The usefulness of Forward Chaining in this diagnostic system is to collect facts or symptoms towards a conclusion, so that users do not need to answer all the questions. By selecting the existing symptoms, a conclusion will be drawn, namely damage. And the use of Certainty Factor in this system is to display the level of system confidence in the results of the diagnosis in the form of a percentage. So that it can convince the user of the diagnostic results.The results of the tests carried out, of the 20 trials by experts, 18 of them have conformity with the results of expert opinion. There are 2 unsuitable trials because the percentage of CF between the probability of damage 1 and 2 is the same, so there is a special case where if the CF percentage of the probability of damage 1 and 2 are the same, then the user can see the solution to the second damage in the Damage Encyclopedia. From the tests carried out, the Expert System with the Forward Chaining and Certainty Factor methods can detect damage to the guitar with an accuracy level of matching the results of the system with expert opinion of 90%.
Smart Trash Untuk Membantu Petugas Kebersihan Menggunakan Arduino Riesky Akbar; Djoni Haryadi Setiabudi; Handry Khoswanto
Jurnal Infra Vol 8, No 2 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Many times, the garbage bins at public places are overloaded even exceeding capacity or overflow which creates unhygienic conditions for people as well as ugliness to that place and leaving bad smell. The full garbage bins are left to pile up and wait until they are taken back by the janitor. To avoid that kind of situation, a smart trash is made for assisting the janitor to monitoring the level content of the garbage bins. Navghane [5] has created a smart trash that can monitoring level of garbage by the web browser. This thesis will create a smart trash system with push notification by a smartphone application that will be easier for janitors pick up the garbage bin just in time.The garbage bin is installed with Arduino WeMos D1 R1 system and proximity sensor E18-D80NK which will show the status of the garbage at the current level. Data obtained from the sensor will be sent with a microcontroller that connected with Wi-Fi to the database. That will be data exchange in real-time between an application on the user’s smartphone with the smart trash device.The result of this thesis is the device can detect and show the garbage level in real-time with percentage and 2D images on the smartphone application, and provide a push notification that appears when the garbage level has full or reached the upper limit. Proximity sensor E18-D80NK is prone to detect dry trash, which is transparent and thin, but can detect dry trash which are solid and not transparent.
Sistem Informasi Penggajian Pada PT Teno Indonesia Kelvin Sutanto; Djoni Haryadi Setiabudi; Yulia Yulia
Jurnal Infra Vol 7, No 2 (2019)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.747 KB)

Abstract

Currently at PT Teno Indonesia employee salary calculations is still using Microsoft Excel, in the calculation process there are many problems faced by companies such as Excel files that require a long time to open, then the attendance process whose data often occurs errors such as accidentally inputting the same attendance data twice and also takes a long time in the calculation.To overcome these problems, the author makes a system of calculating employee salary information that can help the company in its calculations. Information systems created using HTML5 and PHP as the main basis, and SQL for the database. In this information system the user has three different types of access rights, namely admin, manager, and hrd.The results obtained from the payroll application that has been made, namely, the application can calculate the salary of field employees based on attendance data, overtime hours and other salary components such as incentives, transport, TLK, and work location benefits. The application can also calculate bulk work and also the salary calculation of office employees. Based on the results of the existing questionnaire, 100% of the correspondents considered that the features made in this application were sufficient in accordance with the needs of the company. 
Sistem Penggajian dan Penilaian Kinerja Karyawan (Studi Kasus PT X) Yosia Alexander Christian; Djoni Haryadi Setiabudi; Yulia Yulia
Jurnal Infra Vol 7, No 2 (2019)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.099 KB)

Abstract

PT X is a company that has been manufacturing tissue products since 1995 in East Java. Their HR (Human Resources) Department, that is responsible in supervising the salary payment and performance evaluation process, has been working traditionally, using a lot of paper to store data, which causes longer process time and higher risk of miscalculation. Because of that, PT X needs a system upgrade that integrates attendance registration (present, day off’s, paid leave/ vacation), and employee’s performance evaluation to increase efficiency of PT X in salary calculation and performance evaluation.In this thesis, a salary calculation and performance evaluation system has been designed for PT X to be used internally in the company. The design process of this system begins with analyzing the salary payment and performance evaluation process of PT X by interviewing its HR (Human Resources) Department, evaluating laws relating to salary payment system, and making Data Flow Diagram and Entity Relation Diagram. This system was made web-based, utilizing programming language HTML, Javascript, MySQL database, and accessed using Go language.The end result is an information system that helps PT X running absence permission request and its approval, loan request process, presence list importing process, overtime recording process, and use all of those to calculate salary payment and evaluate employee performances. The comparison between the result from manual calculation and system calculation is consisten and accurate. Based on the questioners for the system users, this system satisfies the needs of PT X (100%, 3 out of 3 respondents), and has a fine interface/look (66%, 2 out of 3 respondents).
Penerapan Probabilistic FSM pada AI musuh dalam game ARPG untuk gerakan AI tidak monoton Nicolas Wiyendi; Djoni Haryadi Setiabudi; Hans Juwiantho
Jurnal Infra Vol 9, No 1 (2021)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Game is really popular and becoming one of human aspects of life from child, Along with times the needs of game AI that’s not monotone has become more and more real, The problem that made a game monotone is the AI repeating its movement, with that the AI that doesn’t repeat its movement is made, this AI will make players not bored because of spam movement also motivated to play the game. Previous research has been made but with different genre and different random technic.Game will be developed with Probabilistic finite state machine methods combine with random shuffle bag. Probability will be used for showing the animation so it will make the animation that’s come out more than one, and random shuffle bag will be used for the decision making for the movement so its evenly divided and not repeated.Result of the testing shows that AI is not repeating the movement but it can repeat the pattern of the movement, Problem with repeating pattern can be solve with probability on animation that’s come out so with the same pattern movement player can see different movement.
Co-Authors Agustinus Noertjahyana Albertus Josef Andika Aldo Kris Barlianto Alexander Setiawan Alvin Nathaniel Tjondrowiguno Andreas Handojo Andri Gunawan Andy Nugraha Bagus Dwi Maulana Billy Christanto Billy Gracia Billy Sugiharto Ebhen Haezer Sitohang Efraim Owen Gunawan Fridson Ever Lailena Handry Khoswanto Handry Khoswanto Hans Juwiantho Henry Novianus Palit Indar Sugiarto Jimrio Vicky Stanley Benu Jong Jeffrey Wicaksono Justinus Andjarwirawan Kelvin Sutanto Kristian Suryajaya The Leo Willyanto Santoso Lily Puspa Dewi Michael Christiawan Nicholas Sutikno Nicolas Wiyendi Paskah Abraham Resmana Lim Riesky Akbar Samuel Febrian Tumewu Satriany Lauri Stefanie Natasha Tjia Stefanus Adi Putra Pratama Stephanus Antonius Ananda Tommy Hartanto Salim Yehezkiel Wuisang Yosia Alexander Christian Yulia Yulia