cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Edwin Hari Agus Prastyo
Contact Email
jurnalinovate@unhasy.ac.id
Phone
+6281234443565
Journal Mail Official
jurnalinovate@unhasy.ac.id
Editorial Address
Tebuireng, Jl. Irian Jaya No.55, Cukir, Kec. Diwek, Kabupaten Jombang, Jawa Timur 61471
Location
Kab. jombang,
Jawa timur
INDONESIA
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
 5   6   7   8   9 
Implementasi Algoritma Apriori Untuk Sistem Penilaian Kepuasan Mahasiswa Terhadap Pelayanan Di Universitas Hasyim Asy’ari (Studi Kasus di Universitas Hasyim Asy’ari) Ferdiansa, Ifan; Imam Agung, Achmad; Faizah, Arbiati
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.v6i2.3169

Abstract

Student satisfaction assessment system is a system that be can used to determine the nature of student related services available the institution based on criteria in service quality. Academic services describe aspects that are superior and are invisible but can be felt by students. Quality academic services will create quality students. Asy'ari Hasyim University, one of the pesantren-based educational institutions is demanded to provide quality academic services. This research aims to improve services at Hasyim Asy'ari University, thereby increasing student satisfaction. In this study applying the Apriori Algorithm in conducting frequent itemset searches with the association rule technique. The writer uses a quantitative approach. Quantitative approach is a method that emphasizes the analysis of numerical data (numbers) obtained by the method itself. With the grouping of data like this, it is expected that the Hasyim Asy'ari University can assess and improve academic services. As well as knowing the relationship between a priori algorithm and student satisfaction with campus services, the level of student satisfaction is known as well as looking for inadequate services Keywords: Algoritmh Apriori, student satisfaction, service quality, quantitative
Penerapan Metode K-Means Untuk Cluster Calon Penerima Kartu Jombang Sehat (KJS) Berbasis Website Syamsul Arifin, Muhammad; Arwin Dermawan, Dodik; Lazulfa, Indana
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.v6i2.3170

Abstract

Clusters are very important in data grouping. Mentoro Village Government agencies have difficulty classifying population data based on poverty levels so that beneficiaries are right on target and grouping is still manual or not computerized. The purpose of this research is to create a website-based cluster system capable of grouping population data based on poverty levels so that the beneficiaries of the Kartu Jombang Sehat (KJS) are right on target. To classify population data based on the level of poverty, a method is needed, namely the K-Means method. This method is a partitioning clustering method that can separate data into different groups. The result of this research is a KJS recipient cluster system using the website-based K-Means method. The grouping results of 30 data consisted of 2 groups, where the group received KJS had 14 members and the group did not receive KJS as many as 16 people. Keywords: Cluster, Kartu Jombang Sehat (KJS), K-Means, System.
Rancang Bangun Sistem Pendukung Keputusan Pemilihan Pondok Pesantren Menggunakan Metode Analytical Hierarchy Process (AHP) Berbasis Web Shuffy, Muhandis; Dwi Nuryana, I Kadek; Sucipto, Hadi
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.v6i2.3171

Abstract

The college under the auspices of the Tebuireng Islamic Boarding School is to produce religious students who are scientists and religious scientists with the motto "The Real University of Pesantren and Entrepreneurship". However, data and information about Pondok Pesantren in the campus environment have not been given specific recommendations from the campus for students. To overcome this problem, it is necessary to develop a decision support system for the selection of Pondok Pesantren by applying the Analytical Hierarchy Process (AHP) method as a new breakthrough in decision support systems in informal institutions, namely the selection of Pondok Pesantren. The Analytical Hierarchy Process (AHP) method describes complex problems into a hierarchical model so that it will be more systematic and produce consistent data. This research method uses qualitative methods, according to Sugiyono (2009), data collection is carried out in natural conditions by means of observation, interviews and documentation. From the results of testing the accuracy data obtained 99.99% based on the ranking data of Pondok Pesantren. The results of testing the accuracy data indicate the effectiveness of AHP in implementing the decision support system for the selection of Pondok Pesantren. Keywords: SPK AHP, pondok pesantren selection, php website, mysql.
Implementasi Algoritma FP Growth Untuk Menganalisa Pola Pembelian Barang (studi kasus : Koperasi) Sabila K.S., Nella; Sujatmiko, Bambang; Andriani, Anita
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.v6i2.3173

Abstract

Analyzing piles of sales transaction data turns out to be able to produce information, one of which can take a recommendation and layout decisions of goods such as arranging goods according to association patterns, doing discount or cheap redemption prices on products that are less desirable based on the results of the association pattern, and information on goods that are not in demand. less desirable according to association rules. The association pattern has several solutions, one of which is using the fp growth algorithm. The purpose of using the fp growth algorithm is to find out frequent itemset data sets, in this study the authors apply the fp growth algorithm and association rules to cooperative data for the 1 day period of 2019. The results of this study are to produce applications that can make it easier for cooperatives to take A decision uses 20 sample data to look for association rules and FP growth, which can analyze consumer habits in making purchases, with an average percentage of support values of 9.09% and a confidence value of 100% Keywords: Data Mining, Fp Growth, Association rules, recommendations
Sistem Penentuan Status Gizi Balita Menggunakan Metode Naïve Bayes Classifier (Studi Kasus Posyandu Anggrek Putih Seblak Desa Kwaron Chasanah, Nidhaul; Dwi Indriyanti, Aries; Faizah, Arbiati
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.v6i2.3174

Abstract

Determination of toddler growth and development is very important to do to see if there is a growth disorder of toddlers from an early age by measuring body weight as the best way to assess the nutritional status of toddlers each month so that children's growth and development will be monitored by measuring toddlers and toddlers regularly, body weight and height. Posyandu is useful for providing services to the community about the importance of toddler development and nutritional status quickly and accurately. Therefore, in this research, make a system design as information about the nutritional status of toddlers us.ing th.e Naïve Bayes Classifier metod. This method is fairly sample classification metod by assuming the attribute classification. The calculation process using the Naive Bayes Classifier metod to determine the nutritional status of toddlers will go through 6 stages. So each new data will perform a probability with each existing class, the final result is seen from the highest value of this calculation which is used to see the results of determiining the nut.risio.nal th.e te.sted child.ren. Deter.mi.ning th.e nutritional status o. .f. toddlers by inputting age, sex, weight, height with three data on the nutrition categories of children under five, namely thin, normal, fat. System testing was carried out with 83 data on toddlers at Posyandu Anggrek Putih Dsn Seblak, Kwaron Village, each of which 53 toddler data as training data and 30 other toddler data were used for data testing with an accuracy value of 86.66%. Keywords: Determination of Toddler Nutritional Status, Classification, Naive Bayes Classifier
Rancang Bangun Sistem Pendukung Keputusan Seleksi Jurusan Menggunakan Metode Weight Product Di Madrasah Aliyah Negeri 4 Madiun Amiruddin, Nur; Rahman Prehanto, Dedy; Yuli Setyawan, Aditya
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.v6i2.3175

Abstract

The majors in Madrasah Aliyah Negeri 4 Madiun are conducted to lead to students ' interests and academic talents. The current curriculum guideline of K-13, the process of studying the level of Madrasah Aliyah was conducted since the beginning of entry in class X. After the selection process enters the school, the students perform tests as a series of majors. In addition there is also a calculation process by looking at the value of the player ratings and a diploma from Junior High School (SMP) and each student's poll results. Due to the large amount of data, the process is relatively long in use because it is still done with Microsoft Excel. The calculation process is still fragmented between sheet one with another sheet , not in one process at once and takes a relatively long time.Therefore, a decision support system is needed in determining the course of assessment mechanisms. Implementation techniques used in the Decision support system is The Weight Product method. Using multiplication to link the rating of the attribute, where the rating of each tribute should be first pre-loaded with the corresponding weights.This process is the same as the normalization process. Keywords: SPK, Majors, Weight Product.
Rancang Bangun Sistem Keputusan Penerimaan Siswa Baru MTsN 9 Jombang Dengan Metode Topsis Hartono, Sherly; Dwi Indriyanti, Aries; Bagus Pratama Putra, Dharma
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.v6i2.3176

Abstract

This research was conducted to build a system.that facilitates the teacher and the student to registrants. The purpose of this research. is to design a new student decision support system which is based on the website to facilitate the acceptance of new students to be faster, efficient and effective and also obtain rapid results. In this research researchers use the method TOPSIS (Tecchnique For order preference by similarity to ideal solution). The TOPSIS is method provides ideal solution for the selection of alternatives with several criteria the TOPSIS method is also widely use to resolve problem on decision making practically completion of Multicriteria decision making, in the TOPSIS method there is a calculation of the distance between the ideal positive solution and the ideal negative solution so that it is increasingly supportive to get the calculation with good results.The results. of the study are. obtain a degree of accuracy calculations of the hundred percent. Keywords: Decision support system, TOPSIS, screening
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.
Penerapan Metode Saw (Simple Additive Weighting) Untuk Penilaian Peserta Lomba Da’i Di Pondok Putra Pesantren Tebuireng Berbasis Website Asaduddin, Mu’ammar; Imam Agung, Achmad; Lazulfa, Indana
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.v7i1.3676

Abstract

Structured assessment is a way that can be done to help the committee or the jury so that it is not wrong in assessing all participants of the Da'i competition in Pondok Putra Tebuireng Islamic Boarding School. Structured assessment can result in final scores that are very fair and accurate, so this race is a very fair and quality race. The purpose of this study is to assess the Da'i race participants fairly and accurately, so that the seeds of students who are superior in terms of da'wah are found. There are several criteria used for this assessment, namely the criteria of Rhetoric, Smoothness, Theme, Adab, and Age. The method used in this research is SAW (Simmpel Additive Weighting), that is, it is the existing method of Decision Support System. This method is a method with weighted addition terms. The basic concept of the SAW method that is, all attributes must find the weighted addition of the rating performance of each alternative The SAW method requires a normalization proces from the matrix decision (X) to a scale that can be stackup with each available rating. This research produces a website-based system, so that all users can access. The SPKKUDAIRENG system can be used to assess Da'i contestants at Pondok Putra Tebuireng Islamic Boarding School according to the rules formed by the SAW calculation process. Keywords: Simpple Additive Weighting, Da'i, Tebuireng, Website, Decision Support System
Rekayasa Sistem Pendukung Keputusan Dengan Algoritma ID3 Dalam Penentuan Jurusan Akademik (Studi Kasus : SMA Negeri 3 Ngajuk) Prasetiyo, Rinto; Sujatmiko, Bambang; Ali, Mahrus
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.v7i1.3677

Abstract

Designation is the process of selecting and determining the interest of students in the subject area or skill competency offered by the education unit. The majors process at SMA Negeri 3 Nganjuk begins when the student has been accepted by the school, after which the student takes a major test. In the majors at SMA Negeri 3 Nganjuk, the majors process still uses Microsoft Excel so it takes a long time for majoring students. Because of that, we need a system that can process students effectively and efficiently. The ID3 algorithm is widely used to solve various majors problems. The solution in the ID3 algorithm is based on mathematical calculations that determine the entropy and gain values ​​used in the formation of a decision tree. The ID3 algorithm produces a decision tree that is good enough to be used in majors because this algorithm can solve multi-criteria and multi-objective problems. The results of this study indicate that the manual calculation needs to be shortened in the calculation of the program so that it can produce a majors flow. If it is not shortened it will result in an error in the program. The results of calculating 100 sample data in the first result produce a total entropy of 0.8813, in the second calculation it produces a total entropy of 0.9403, in the third calculation it produces a total entropy of 0.9367. After that a rule is formed which is used as a benchmark for student majors. The final result of the majors shows that the students' scores resulted in more students entering the social studies department than the Mathematics and Natural Sciences majors. Keywords: Pointing, Value, ID3 Algorithm

Page 7 of 22 | Total Record : 216

 5   6   7   8   9 

Filter by Year

2016 2025


Reset
Filter By Issues
All Issue Vol 10 No 1 (2025): September Vol 9 No 2 (2025): Maret Vol 9 No 1 (2024): September Vol 8 No 2 (2024): Maret Vol 8 No 1 (2023): September Vol 7 No 2 (2023): Maret Vol 7 No 1 (2022): September Vol 6 No 2 (2022): Maret Vol 6 No 1 (2021): September Vol 5 No 2 (2021): Maret Vol 5 No 1 (2020): September Vol 4 No 2 (2020): Maret Vol 4 No 1 (2019): September Vol 3 No 2 (2019): Maret Vol 2 No 2 (2018): Maret Vol 2 No 1 (2017): September Vol 1 No 1 (2016): September More Issue