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Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Published by Universitas Hasyim Asy'ari
ISSN : 31090117     EISSN : 25487795     DOI : -
Core Subject : Science,
Computer Science & IT
INOVATE: Jurnal Ilmiah Inovasi Teknologi Informasi adalah jurnal ilmiah yang diterbitkan oleh Fakultas Teknologi Informasi, yang bertujuan untuk menampung dan mempublikasikan hasil penelitian yang dilakukan oleh dosen dan mahasiswa dari program studi Teknik Informatika, Sistem Informasi, serta Ilmu Komputer. Jurnal ini berfungsi sebagai wadah untuk pengembangan ilmu pengetahuan di bidang teknologi informasi, dengan penekanan pada inovasi serta penerapan teknologi terbaru dalam menyelesaikan permasalahan yang ada di masyarakat dan industri. Fokus utama jurnal ini meliputi penelitian yang berkaitan dengan bidang teknologi informasi, sistem informasi, rekayasa perangkat lunak, serta ilmu komputer. Setiap artikel yang diterbitkan dalam jurnal ini melalui proses review yang ketat, dengan tujuan memberikan kontribusi yang signifikan terhadap pengembangan teori, konsep, serta aplikasi dalam dunia teknologi informasi. Selain itu, jurnal ini juga bertujuan untuk memfasilitasi kolaborasi antara akademisi dan praktisi guna mendorong implementasi solusi teknologi yang relevan dengan kebutuhan industri serta perkembangan sosial yang dinamis. INOVATE diterbitkan secara berkala dengan frekuensi dua kali setahun dan terbuka untuk publikasi berbagai jenis artikel, termasuk penelitian dasar, pengembangan teknologi, serta studi kasus yang mengangkat inovasi di bidang sistem informasi, kecerdasan buatan, dan teknologi berbasis web maupun mobile.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 216 Documents
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MENERAPKAN METODE WEIGHTED PRODUCT (WP) DALAM MENETUKAN SISWA BERPRESTASI (Study Kasus SMK Tarbiyatunnasyiin) Bahri, Saiful; Imam Agung, Achmad; Sucipto, Hadi
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.v7i1.3678

Abstract

Tarbiyatunnasiin Vocational School annually holds the selection of high-achieving student scholarship programs, namely students who have achieved high performance in accordance with specified criteria. There are several criteria that are assessed in the selection of high achieving students namely, Mathematics, B.Indonesian, B. English, ICT, religion, discipline, neatness. The purpose of this study is to design a decision support system for Tarbiyatunasiin Vocational School and for the implementation of a decision support system using the Weighted Product (WP) method as a method for selecting high achieving students. WP is one of the methods used in making a decision support system. The results of this study are the decision support system for the selection of outstanding students with several menu options to make it easier for administrators to operate and be able to manage data based on criteria in the process of assessing outstanding students, and the accuracy of valid data in the application of the selection system for SMK Tarbiyatunnasiin Islamic Boarding School students Weighted Product (WP) method is 99.87%. Keywords: Students Achivement, Information systems, WP, Action Research, Website
Aplikasi Pengoreksian Kesalahan Bahasa Indonesia Menggunakan Metode Jaro Winkler Distance Dan Levenshtein Distance Berbasis Web Nurva Agustin, Sandra; Mufarrihah, Iftitaahul; Rahman Prehanto, Dedy
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.v7i1.3679

Abstract

Writing errors in typing documents very often occur in writing articles, scientific journals, lectures or final assignments. Typing errors cannot be avoided. There are several factors, including the location of the letters close to each other on the keyboard, errors in the corrections made by the word processor, accidental errors such as slip of a finger. For this reason, an application for error categorization in Indonesian was made to make it easier to check documents. The purpose of this study is to design a correction system using the Jaro Winkler Distance and Levenshtein Distance methods. The Jaro winkler distance algorithm is basically a method that compares the similarity of the constituent characters of two strings and the Levenshtein Distance algorithm is a string metric to measure the difference between two sequences. The results of this research are in the form of typing error correction web where the user can correct .doc / .docx formatted documents. Key words : jaro winkler distance, levenshtein distance.
Implementasi Algoritma Apriori Untuk Menentukan Strategi Pemasaran Bilqis Ismail Putri, Tiara; Sujatmiko, Bambang; Andriani, Anita
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.v7i1.3680

Abstract

Store X is retail that provide a variety of toys for girls and boys. Every day the sales transaction data Store X will definitely increase and accumulate. So that data does not accumulate it is good can be used to know the habits of the buyer or of buyer behavior of goods purchased. How to search the goods sold simultaneously can use the data mining methods, which is a technique to analyze large-sized data by finding relationships among the data or the search combination and rule. The search for a combination is done with the process of merging (join) and pruning (prune) items called apriori algorithm. This research resulted in a website-based system by testing data sales transactions as many as 30 data a memorandum of the transaction with a minimum support of 35% and minimum confidence of 75%. So as to form one rule, namely, if buy a Meja Belajar K then will buy a Kreatif Block Tas with the value of the support 36.67% and the value of the confidence 78.57%. Keywords : Association, Apriori Algorithm, The Transaction Data, Sales
Penerapan Metode Simple Additive Weighting (SAW) Untuk Ketepatan Pemilihan Topik Skripsi Mahasiswa Program Studi Teknik Informatika UNHASY Zakiya Waliyulloh, M.; Imam Agung, Achmad; Kistofer, Terdy
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.v7i1.3681

Abstract

Graduating on time is the desire of all students, to achieve graduation, students must work on a thesis as a requirement for graduation at higher education in order to obtain a bachelor's degree in accordance with their scientific field. In taking thesis, there are often students who are confused about choosing the thesis topic to take. To overcome this problem, this research was taken as a solution that utilizes computer technology and uses the Simple Additive Weighting (SAW) method as a decision support system for the accuracy of selecting thesis topics in the Informatics Engineering Study Program at the Hasyim Asy'ari Tebuireng University, Jombang. From the application system, the accuracy of selecting the thesis topic is that the user must first see the student grade data from semester one to semester six and the results of the interest questionnaire that has been made, after it is known that it will be processed with an application system that uses the SAW method as decision making, in the calculation process of In this system, the final result is an alternative Web services for e-Business (A1) with a value of 0.99, and the results obtained from application testing using 30 samples of student data obtained an average percentage of accuracy of the accuracy of the results of 75% of the student thesis topic selection. Keywords: SAW, Decision Support System, Thesis Topics.
Rekayasa Dan Pengembangan Perpustakaan Digital Menggunakan Codeigniter Dengan Metode Pengembangan Perangkat Lunak Scrum M Masrur Rofi, Arfany; I GL Putra Eka , Prismana; Muhammad Fatkhur , Rizal
Inovate Vol 6 No 2 (2022): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v6i2.3907

Abstract

Libraries as information providers and information managers at this time, should follow the flow of changes in information technology in this digital era. libraries no longer have to be traditional or manual in providing various information services to their members. Libraries in several universities have begun to implement library functions that were previously traditionally or manually processed to be automated until later a new term, online or digital library, emerged. With the existence of digital information that can be done with a computerized system known as OPAC (online Access Cataloging). OPAC is the output of the information retrieval system. Search results conducted through the tool provide satisfaction for the user. The method used in solving this problem is the Scrum method. Scrum is an agile and software development framework agile addition to software projects and managing product or application development. In the Scrum method there are 3 roles in the process, Product Owner (As Client), Scrum Master (As a Supervisor and Evaluating Developer Performance, Developer (Project Maker).The results of this study include the development of a digital library using Codeigniter framework with the Scrum method. In developing the system, it runs well and produces satisfying results for the writer. The use ofthe Scrum method is also very appropriate because of the supporting factors from various Hasyim Asy’ari University librarians who provide support in the from of suggestions for adding various features to the digital web library as a from of futher development so that a more dynamic digital library can be achieved.Keywords : Digital Library, Design, Information, Web
Sistem Pendukung Keputusan Penentuan Siswa Berprestasi Menggunakan Weighted Product Berbasis Website di SDN Pandanwangi Jombang Rahmawati, Shella; Lazulfa, Indana
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.v7i2.4113

Abstract

One of the educational institutions at Jombang district is Pandanwangi State Elementary School which applies development of student's potential for their abilities and knowledge. Problem in the assessment process of outstanding students at Pandanwangi State Elementary School is that the school doesn’t have a grading system that can be used transparently and professionally. This study aims to design and implement the Weighted Product method in the decision support system for determining outstanding students at Pandanwangi State Elementary School based on the website. Decision support system for outstanding students was made based on a website using php programming language CodeIgniter and MySQL as a database. Method that used in this study is Weighted Product, this method was chosen because time required in the calculation is more efficient. Weighted Product method can make the assessment process for outstanding students at Pandanwangi State Elementary School more appropriate, and the results can be used as a reference in making appropriate decisions. Result of this study is a decision support system for outstanding students. With 7 criteria for the average value of the report card, the mandatory extra-curricular value of scouting, sports value, attendance, discipline, activeness and religious value obtain the best results was Alternative-20 whose the name Lintang Dwi A. Keywords: decision support system, student achievement, weighted product
Rancang Bangun Sistem Informasi dan Prediksi Penjualan Jamu menggunakan Metode Fuzzy Time Series Rohman, Abdur; Sucipto, Hadi; Heru Mujianto, Ahmad
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.v7i2.4114

Abstract

Information systems and sales predictions for herbal herbal medicine are needed to see sales developments in the form of graphs and tables, while predictions are used to see sales predictions in the next 3 days, 7 days ahead, 14 days ahead and 1 month ahead. The function besides seeing sales predictions is also used for future stock planning. The prediction method used is fuzzy time series cheng by utilizing sales data in the past with the first stages of collecting actual data, determining the width of the interval and the number of intervals, defining fuzzy sets, fuzzification, making tables of Fuzzy Logic Relations and Fuzzy Logic Relations Group and the last defuzzification. For the accuracy of the prediction results using the MAPE formula where in this study for 3 days prediction the MAPE value was 13.31% while for 7 days it was 7.25%, for 14 days it was 10.53% while for 1 month it was 6 ,64%. The result of this research is an information system which contains sales charts, sales tables, stock information and sales predictions Keywords: Herbal Medicine, Sales Prediction, Fuzzy Time Series
Sistem Pendukung Keputusan Penilaian Guru Teladan Smk Al-Hikmah Sumobito Berbasis Website Menggunakan Metode Smart Zulfa, Abidah; Zein Vitadiar, Tanhella
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.v7i2.4115

Abstract

Al Hikmah Vocational High School is one of the equivalent vocational / high school level educations that stands in Sumobito. In this study, it was taken to improve the quality and quality of the students of SMK Al Hikmah Sumobito. Especially to teachers and staff who work at SMK Al Hikmah Sumobito, in this study it can also improve the quality for teachers who get the best rankings who will get promotions and appreciation from the principal of SMK Al Hikmah Sumobito. Which aims to design and build a Website-Based Decision Support System for Exemplary Teacher Assessment at Al-Hikmah Sumobito High School and develop better human resources. The results of the design and development of this system can be used as information material for the next practitioner in making or developing a decision support system for selecting the best teacher using the website-based SMART method. Keywords: Decision Support System, SMART, Examplari Teacher
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
Penerapan Metode Material Requirement Planning Pada Sistem Informasi Persediaan Bahan Baku Pupuk Dolomite Dan Pupuk Calsium Di CV. Sambong Margo Utomo Subagio, Agus; Mashuri, Chamdan
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.v7i2.4117

Abstract

Fertilizer production activities require planning an adequate supply of raw materials to meet production needs so as not to experience shortages and excess stocks of raw materials. This research was conducted in the warehouse CV. Sambong Margo Utomo who experienced problems in the stock of raw material supplies due to the limited storage space they had and the data processing was still manual. The objectives to be achieved in this research are (1) To design an information system for the supply of raw materials for dolomite and calcium fertilizers (2) To build inventory system software using Material Requirement Planning (MRP) (3) To implement Material Requirement Planning (MRP) in planning the need for raw materials for fertilizer in CV. Sambong Margo Utomo. The results of this study, namely the Material Requirement Planning (MRP) method can be applied to an information system for the supply of raw materials for dolomite and calcium fertilizers in CV. Sambong Margo Utomo and testing of raw material inventory planning in January 2018 - December 2018 resulted in the frequency of orders, inventory costs and safety stock for each raw material. Keywords – Information System, Raw Material Inventory, Material Requirement Planning

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