Claim Missing Document
Check
Articles

Found 22 Documents
Search
Journal : Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi

SISTEM INFORMASI LAPORAN DANA BANTUAN OPERASIONAL SEKOLAH (BOS) BERBASIS DESKTOP (Studi Kasus Pada SMP Negeri 3 Ponorogo) Permadi, Ginanjar Setyo; Vitadiar, Tanhella Zein
Inovate Vol 2 No 1 (2017): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v2i1.215

Abstract

Laporan dana BOS disiapkan untuk membantu pemerintah dalam melakukan kontrol dan evaluasi terhadap program pemerintah. Laporan ini disusun secara berkala dan setiap orang tidak dapat mengendalikan atau mengubah laporan BOS. Dari hasil pengamatan, penyusunan laporan BOS di SMPN 3 PONOROGO masih disusun secara manual dengan menggunakan Microsoft excel dan ada beberapa kesulitan yang datang dari penulis laporan di Microsoft Excel menggunakan pengaturan tersebut untuk mencetak halaman saat ini. Oleh karena itu, penulis mencoba memberikan solusi untuk membuat aplikasi khusus laporan dana BOS. Aplikasi ini menyediakan formulir yang dibutuhkan dalam penyusunan laporan alokasi dana BOS di SMPN 3 PONOROGO. Dengan adanya aplikasi ini diharapkan dapat membantu penyusunan laporan dana BOS menjadi lebih efektif dan efisien. Kata Kunci: Aplikasi, Laporan, BOS. BOS funds report prepared to assist the government in conducting control and evaluation of government programs. These reports are prepared periodically and everyone can not control or change the report of BOS. From the observations, the preparation of a report of BOS in SMPN 3 PONOROGO still compiled manually using Microsoft excel and there are some difficulties that come from the authors of the report in Microsoft Excel using such arrangements to print the current page. Therefore, the author tries to provide a solution to make a special application of BOS funds report.This application provides the forms needed in preparing a report on the allocation of BOS funds in SMPN 3 PONOROGO. With this application is expected to assist the preparation of BOS funds report become more effective and efficient. Keywords : Application, Report, BOS.
SISTEM INFORMASI PENENTUAN JUMLAH PRODUKSI JAMUR TIRAM MENGGUNAKAN METODE FUZZY INFERENCE SYSTEM (FIS) TSUKAMOTO Vitadiar, Tanhella Zein; Permadi, Ginanjar Setyo
Inovate Vol 2 No 1 (2017): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v2i1.216

Abstract

Penentuan jumlah produksi yang tepat, merupakan suatu hal yang harus dimiliki oleh sebuah perusahaan. Penentuan produksi yang kurang tepat akan menyebabkan perusahaan mengalami kerugian karena bisa jadi perusahaan terlalu berlebihan dalam memproduksi atau terlalu sedikit dalam memproduksi tidak sesuai dengan permintaan pelanggan. Rumah Jamur cenderung mengalami kesulitan dalam penentuan jumlah produksi. Hal tersebut akan berdampak pada penghasilan Rumah Jamur, Penelitian ini dilakukan untuk menentukan jumlah produksi jamur tiram menggunakan metode Fuzzy Inference System (FIS) Tsukamoto, dimana akan dilakukan pengujian terhadap metode Fuzzy Inference System (FIS)Tsukamoto. Sehingga diharapkan metode Fuzzy Inference System (FIS)Tsukamoto dapat memprediksi jumlah produksi jamur tiram lebih baik daripada prediksi dari Rumah Jamur sehingga dapat membantu pihak Rumah Jamur dalam penentuan jumlah produksi. Kata kunci: Fuzzy Inference System (FIS) Tsukamoto, Rumah Jamur. The determination of exact total production are the main issues that a firm shall have. Inaccuracy determination of total production will lead the firm to lose the benefit because the firm may produces either over or less production regarding to customers’ demands. Rumah Jamur seems to have problems in determining its total production. This will have an impact to Rumah Jamur’s income. This research is aimed to build a Financial Information System and determination of mushroom’s production using Tsukamoto Fuzzy Inference System (FIS) methods.. This information system can determine the number of mushroom’s production more precisely, so that the determination of total production can be performed more easily. Keywords: Tsukamoto Fuzzy Inference System (FIS), Rumah Jamur
Rancang Bangun Game Edukasi Pembelajaran Aksara Jawa Berbasis Android Margareta, Adhitya; Putra Eka Prismana, IGL; Setyo Permadi, Ginanjar
Inovate Vol 6 No 1 (2021): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v6i1.3144

Abstract

The written communication tool used by the Javanese tribe is Javanese script. Javanese script education is important to be taught to children from an early age so that children are not blind to Javanese script itself and to support the preservation of the nation's culture. The purpose of this research is to build Javanese script learning educational games for children, as well as to help the government in preserving local culture. The method used in this game is the Decision Tree and Finite State Machine (FSM) method. Decision Tree is used as an assessment or scoring in the game. The steps of the Decision Tree method are to determine the first parameter that will be used as the highest score to be obtained, the next step is to determine the second parameter that will be used as the score, and so on. The Finite State Machine (FSM) works based on the results obtained from the previous decision tree calculations, which will determine the continuation of the game. The results of this study are a Javanese script educational game for Javanese script learning in the form of connecting dots to become a script. Java, so players can play while learning. Keywords: Game, Javanese Script, Finite State Machine (FSM), Decision Tree
Evaluasi Penggunaan Google Classroom Dengan Metode End User Computing Satisfaction (EUCS) Fatkhur Rizal, Muhammad; Heru Mujianto, Ahmad; Setyo Permadi, Ginanjar
Inovate Vol 7 No 1 (2022): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v7i1.3675

Abstract

In this study, an evaluation was carried out on the LMS Google Classroom which has been used as an online learning medium, especially at the Faculty of Information Technology, Hasyim Asy'ari University during Covid-19. The impact of the covid-19 pandemic has led to online learning activities. This aims to keep the learning process running even during the Covid-19 pandemic. The evaluation used in the Google Classroom LMS uses the EUCS method which has five dimensions in its measurement including Content, Accuracy, Format, Ease of Use, and Timelines. The results of this study were obtained from data analysis on evaluating the use of the Google Classroom LMS using the EUCS method, which was 82.79%, with the assessment criteria being "Good". Keywords: Learning, Google Classroom, Evaluation, EUCS.
Sistem Deteksi Bahasa Isyarat Secara Realtime Dengan Tensorflow Object Detection dan Python Menggunakan Metode Convolutional Neural Network Hayyu Gustsa, Abraar; Setyo Permadi, Ginanjar
Inovate Vol 7 No 2 (2023): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v7i2.4116

Abstract

Communicating using sign language is foreign to most people and very few people know how to communicate using sign language because it is not a mandatory language to learn. This case becomes a problem for people with special needs to interact and communicate with other people, especially people who do not know and understand how to communicate using sign language. Conventional Neural Network is the method that will be used in this study because this method is one of the deep learning methods that has the best current results in detecting an object, Deep Learning has excellent capabilities in computer vision. One of them is in the case of object classification in the image. By implementing one of the machine learning methods that can be used for object image classification, namely Convolutional Neural Network CNN. This is because the CNN method tries to imitate the image recognition system in the human visual cortex so that it has the ability to process image information. However, CNN, like other deep learning methods, has a weakness, namely the old model training process. In this study, the author uses a new dataset but is limited to only 4 sign language gestures (Hello, ILoveYou, Yes, No, Thanks). The results of testing the sign language training dataset reached an accuracy of 93.33%. In sign language predictions, the accuracy of the "Hello" symbol is 95%, "ILoveYou" is 93% accurate, "Yes" is 97%, "No" is 91% accurate, "Thanks" is 100% accurate. Keywords: Sign Language, Convolutional Neural Network, Classification, Machine Learning, Deep Learning
SISTEM INFORMASI PEKAN ORIENTASI MAHASISWA BARU (POSMARU) UNHASY DENGAN MENGGUNAKAN ALGORITMA BRUTE FORCE BUDI RIYANTO, ROCHMAD; SETYO PERMADI, GINANJAR; FATKUR RIZAL, MUHAMMAD
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.5098

Abstract

Developments in this era of computer technology with the power of a website allow us to develop amanagement information system using a computer. Therefore, a web-based new student orientationregistration information system is needed to facilitate and reduce processing time efficiency whenregistering new student orientation and handling registrant data managed by the committee and financefor new student admissions case studies at Hasyim Asy'ari University. The uses of making an InformationSystem include making it easier for students to register themselves in a computerized manner, facilitatingthe administration of receiving new student study orientations to manage registration data and saving itautomatically into the information system. In this study, the brute force method was used. This charactermatching is part of the brute force method and moves the pattern one by one and matches it with the text,so that it becomes the same pattern. This research resulted in a character matching test using the bruteforce method and a case study using a string matching search engine based on PHP programming.Hypertext Preprocessor (PHP) is the programming used and the database uses My Structure QueryLanguage (MySQL). New Student Study Orientation Registration Information System Created on a web-based basis, it is hoped that it can help the new student study orientation registration process become moreeffective and more efficient. And also the level of accuracy of the algorithm in this case study is 100% with a total data of 785 students. If the input data is in the database, if it is not registered, this data will notappear.Keywords: Information System, Brute Force Algorithm, PHP and MySQL.
SISTEM DETEKSI POLUSI DI FAKULTAS TEKNOLOGI INFORMASI UNIVERSITAS HASYIM ASY’ARI DENGAN METODE FUZZY LOGIC Permadi, Ginanjar Setyo; Faruq, Muhammad
Inovate Vol 7 No 1 (2022): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v7i1.5213

Abstract

ir pollution is a condition where air quality decreases because it is affected bysubstances that are not harmful or harmful to the health of the human body. Airpollution is often encountered in the surrounding environment from human activitiesthat can harm and damage the health of the human body. The impact of air pollution isdamage to human health and the environment. Damage to human health can be affectedby pollutant substances that enter the body. Some of the pollutant substances mixed inthe air have well-recognized properties, so their presence in the body can certainly causediscomfort. While in the environment can cause global warming, acid rain, depletion ofthe ozone layer, and others. Then made a system that can detect air pollution. Thepollution detection system that is made works well so that it can be used to detectpollution in the form of carbon monoxide gas and dust. The data detected by the sensoris calculated using fuzzy logic. So that it can produce a fuzzy output value of174.21655744439 which means that the air quality in the research location is nothealthy. Keywords: air pollution, fuzzy logic, carbon monoxide, dust.
RANCANG BANGUN SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA PEGAWAI MENGGUNAKAN MOORA BERBASIS WEBSITE Dwi Putri Ayu Lestari; Zein Vitadiar, Tanhella; Setyo Permadi, Ginanjar; Kristianto, Hery
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7250

Abstract

Employee performance evaluation is a crucial element in human resource management to assessindividual contributions to organizational goals and identify areas where productivity can be improved.Manual assessments that are subjective often lack accuracy and fairness. This research aims to design aweb-based decision support system for employee performance evaluation using the MOORA method(Multi-Objective Optimization on the basis of Ratio Analysis) for the Jombang District Education andCulture Office. MOORA was chosen for its effectiveness in handling multi-criteria in complex decisions.The system facilitates access and use with web technology. Requirements study, design, implementation,and testing have shown that the system provides more objective and accurate evaluations compared tomanual methods. This system is expected to improve the quality of performance evaluations and supportdata-driven decision-making at the Jombang District Education and Culture Office, serving as a model forother institutions in enhancing accuracy and precision in evaluating employee performance. The rankingresults recommend employee rank 1, Hadi Suwito, A.md, with a final score of 0.0217, employee rank 2,Weni Siswin Agustin, S.sos, with an accumulated score of 0.0183, and employee rank 3, Diyanto, with anaccumulated score of 0.0127.Keywords: DSS, Moora, Employee Appraisal, Performance, Education and Culture Office of JombangDistrict
PENERAPAN METODE WEIGHTED AVERAGE PADA SISTEM KEPUASAN PENGUNJUNG TERHADAP KUALITAS PELAYANAN DI PENGINAPAN RUMAH NAKATA Rahma Sarita Khairunnissa; Zein Vitadiar, Tanhella; Muhammad Fatkhur Rizal; Setyo Permadi, Ginanjar
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7255

Abstract

The visitor satisfaction information system for service quality is an innovative solution to measure andimprove service quality in a public service. One of them is at the Nakata house inn, which provideslodging facilities for its visitors. However, with adequate facilities, Nakata's house still has one of itsshortcomings in the service system that makes communication between employees and visitors miss andthe limitations of promotions that are carried out so that it affects the satisfaction and interest of visitors.This research uses the weighted average method which aims to develop an information system inanalyzing and evaluating the level of visitor satisfaction with the quality of service. The weighted averagemethod is used to give weight to various aspects of the service that are assessed by visitors. So that theevaluation becomes accurate and detailed. This research involves collecting data from visitors throughquestionnaires and interviews, as well as data management using the weighted average method analysis.The results of this study show that the response from the response to the quality of Nakata house lodgingservices is included in a good category, because they get a score of 78 and the specification of the highestservice type in the employee responsibility category with a value of 3.5, while with the lowest valuespecification is found in the snack category with a value of 2.1. it is expected to provide concreterecommendations for lodging service providers in improving the quality of service based on the prioritydetermined by visitors. The visitor satisfaction information system for service quality using the weightedaverage method is expected to be able to make strategic decisions to increase visitor satisfaction andservice quality well and efficiently.Keywords: visitor satisfaction survey, lodging, service, weighted average
RANCANG BANGUN APLIKASI PENILAIAN ESAI OTOMATIS MENGGUNAKAN ALGORITMA COSINE SIMILARITY STUDI KASUS MTS PERGURUAN MU’ALLIMAT Agus Abdurrahman; Hadi Sucipto; Setyo Permadi, Ginanjar; Zein Vitadiar, Tanhella
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7259

Abstract

This study aims to design and develop an automatic essay scoring application using the Cosine similarityalgorithm, with a case study at MTS Perguruan Mu’allimat. The main objectives of this research are tounderstand the process of creating an automatic answer correction system and to explore the application ofthe Cosine similarity method in the automatic essay answer correction system. The research begins withdesigning the system based on Object Oriented Programming (OOP) principles according to the systemrequirements analysis. The implementation of the Cosine similarity algorithm is conducted to calculate thesimilarity between students' answers and the correct answers. The results indicate that using the Cosinesimilarity algorithm in essay answer correction facilitates grading with reasonably good accuracy. Bytesting 10 student answers, the algorithm achieves an accuracy rate of 75.11% compared to manualcalculations. From these results, it can be concluded that this system is effective and accurate in scoringessay exams, and thus can be widely implemented to improve grading efficiency in educational settings.Keywords: essay grading application, Cosine similarity, automatic correction.