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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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PERAMALAN PENJUALAN MAKANAN KERING TOKO IKM MART JOMBANG MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING BERBASIS WEB Fatimatuz Zahro , Siti; Setyo Permadi , Ginanjar
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.7006

Abstract

The IKM Mart Jombang store was chosen as the object of research study because sales at this company show a consistent growth trend every year. To deal with uncertainty and assist in decision making, the Double Exponential Smoothing method is used. This method has the advantage of handling situations with limited data and providing fairly accurate forecasting results. However, this method also has weaknesses, namely the difficulty in carrying out maintenance on a large scale. Because the Smoothing process is carried out twice, parameter maintenance is required so that the forecasting results remain accurate. Based on analysis with an alpha value of 0.3 on dry food sales with the smallest MSE value, namely alpha 0.3. In a comparison between system sales and dry food sales, system sales produce less scrap than dry food sales. For one year, from January 2022 to December 2022, testing the accuracy of dry food sales reached an average accuracy of 86%. Keywords: forecasting, Double Exponential Smoothing, sales
RANCANG BANGUN SISTEM APLIKASI AKTIVITAS GURU DALAM PEMBELAJARAN BERBASIS ANDROID DI SMP AL- HIKMAH BALONGREJO Oktavianto, Yusril; Imam Agung , Ahmad
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.v8i1.7027

Abstract

The purpose of this research is to increase the credibility of work and the educational process, SMP Al-Hikmah Balongrejo plans to start improving faculty administration by implementing application-based technology and information to support school programs and student education. So to overcome this problem a teacher activation system is needed in teaching in the form of online and application-based. This application is able to summarize the time and achievement of reporting with valid data. The purpose of this research is to know the design of teacher activities, to know their implementation and the level of implementation of the design of teacher activity application systems in Android-based learning at SMP Al-Hikmah Balongrejo. Completion of this practical work report has several research stages that are useful in supporting the preparation of practical work reports. The research method used is an experimental method with a quantitative research type. From this study, the following conclusions were obtained; The Teacher Activity Application System is designed to meet the needs of teachers and employees in processing attendance and journal data. The Teacher Activity Application System can automatically calculate the disciplinary percentage of teacher absences by applying the K-Means method. The Teacher Activity Application System has been tested on teachers and employees to process attendance and journal data. Keywords: Teacher Activity, Application System, Android.
IMPLEMENTASI METODE APRIORI DALAM MENENTUKAN BIJI KOPI YANG PALING DIMINATI KONSUMEN PADA ROASTERY WARKOP LANGGANO Novita Sari , Luky; Sucipto , Hadi
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.v8i1.7029

Abstract

The Warkop Langgano Roastery is one of them competing in the current food and beverage business. The purpose of this study was to find out the implementation of the Apriori Method in determining the most popular coffee beans at the Warkop Langgano Roastery. This research uses the Web-based Apriori method, and data collection through literature study is carried out by studying literature theories from books, journals, references related to this research to complete the data. The results of this study indicate that the implementation of the a priori method for determining the most desirable product can produce a suffix, namely association rules that can be carried out properly in the form of a Website with the PHP programming language and the Laravell Framework and using the MySQL database. Testing is calculated by means of calculations using the Apriori formula itself with a specified amount of Support and Confidence determined, in this study the final result of the association rules is to produce 50% Support and 100% Confidence for the sale of Robusta Dampit and Arabica Wonosalam, 33.3% Support and 80% for Robusta Dampit and Hoseblend, 66.6% Support and 80% Confidence for Robusta Wonosalam and Arabica Wonosalam, 66.6% Support and 80% Confidence for Robusta Wonosalam and Hoseblend 70/30%, as well as 83.3% Support and 100% Confidence for Arabica Wonosalam and Hoseblend 70/30% with calculations using the a priori formula. Keywords:The Apriori Method, Coffee Beans, Roastery
SISTEM INFORMASI INDEKS KEPUASAN MASYARAKAT TERHADAP PELAYANAN KANTOR DESA KEPATIHAN MENGGUNAKAN METODE WEIGHTED AVERAGE Harist Pambudi , Wiradhika; Sucipto , Hadi
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.v8i1.7030

Abstract

Thel Kelpatihan Villagel Olfficel is a golvelrnmelnt agelncy that has thel task olf selrving thel colmmunity in polpulation mattelrs, administering correspondence and also important deeds for the community. Colmmunity satisfactioln is velry impolrtant folr thel succelss olf selrvicels frolm an agelncy belcausel it can bel useld tol elvaluatel whelthelr thel selrvicels prolvideld arel golold olr nolt. In this study, thel autholrs delsigneld and built an applicatioln folr asselssing a welb-baseld colmmunity satisfactioln indelx survely that was useld tol deltelrminel thel colmmunity satisfactioln indelx folr thel selrvicels prolvideld in Kelpatihan Villagel. This applicatioln was built using thel welighteld avelragel valuel calculatioln melthold in prolcelssing ellelmelnts olf asselssmelnt baseld oln survely relsults. Thel relsults sholweld that thel relspolnsel frolm relspolndelnts tol thel Selrvicel Satisfactioln olf thel Kelpatihan Villagel Olfficel was includeld in thel velry golold catelgolry, belcausel it olbtaineld a scolrel olf 85.7. Thel satisfactioln indelx indicatolr folr thel Kelpatihan Villagel Olfficel Selrvicel, which is thel highelst indicatolr, is Prolduct Spelcificatioln Typel olf Selrvicel with a scolrel olf 3.6 olr thel Velry Golold catelgolry. Thel lolwelst Kelpatihan Villagel Officel selrvicel satisfactioln indelx is thel Selrvicel Speleld indicatolr with a valuel olf 3.36. Keywords: Community Satisfaction Index, Public Service, Weighted Average, Website
SISTEM INFORMASI PREDIKSI JUMLAH REFILL TONER PADA PRINTER LASERJET DI CV SOERYA COM DENGAN MENGGUNAKAN METODE WEIGHTED MOVING AVERAGE BERBASIS WEB Dwi Saputra, Septian; Mashuri, Chamdan; Zein Vitadiar, Tanhella; Ali, Mahrus
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.v9i1.7229

Abstract

CV Soerya Com is a business providing printer services, laptop services, computer services and toner refills. Problems often arise when forecasting the number of toner refills in each period, because calculating toner inventory often results in a shortage or excess of toner. In this business location problem, an information system for forecasting the number of toner refills is needed. The method used in this research is the Weighted Moving Average method, namely to predict the future and each data is given a different weight from the previous data. Data generated from observations is from January 2018 to September 2023. Application using the Weighted Moving Average method (3 months) in October 2023 is 15 pcs. From the test results for the number of toner refills, the MAD, MSE and MAPE error values were 5.43, 42.50 and 36.02%. The results of the MAPE forecasting accuracy level are moderate, namely with a value of 36.02%. Keywords: Forecasting, Weighted Moving Average, MAD, MSE and MAPE.
SISTEM PENDUKUNG KEPUTUSAN PELANGGARAN TATA TERTIB SANTRI MENGGUNAKAN METODE SMART Darmawan, Ricky; Andriani, Anita; Fatkhur Rizal, Muhammad; Widoyoningrum, Sri
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.v9i1.7230

Abstract

Santri Pondok Pesantren Tebuireng 4 who violate the rules will get punishment to improve behavior and provide a deterrent effect, but the data collection of sanctions is still manual so that often repeated violations are not recorded. This research aims to design a system of decision assistance based on the SMART method to record the history of violations and determine the appropriate type of sanction automatically. This descriptive research with a quantitative approach was conducted at Pondok Pesantren Tebuireng 4, Riau, for four months. Data were collected through interviews and documentation, then used to design a system with the SMART method, which was implemented using UML for visualization and documentation of system design through diagrams such as flowcharts, use case diagrams, and activity diagrams. System testing at Pondok Pesantren Tebuireng 4 using Black Box Testing showed satisfactory results on various scenarios, such as the appearance of the login page, dynamic website functionality, report print page, and final score results. Testing was conducted with the pesantren Security Team, and the results confirmed that the SMART-based system can generate automated reports that facilitate efficient monitoring and enforcement of santri discipline. With this system, the process of selecting actions for violations becomes faster and more accurate, and allows users to easily add, edit, and delete data. Keywords: sanctions, students, SMART, decision support system.
PENGGUNAAN PENDEKATAN NAIVE BAYES DALAM APLIKASI DIAGNOSIS PENYAKIT SERTA SYARAT HIDUP TANAMAN MELON BERBASIS WEBSITE (STUDI KASUS: DESA JATIMLEREK KECAMATAN PLANDAAN KABUPATEN JOMBANG ) Muchammad Rizal Bahrevi; Mufarrihah, Iftitaahul; Sujatmiko, Bambang; Reza Augusta Jannatul Firdaus
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.v9i1.7249

Abstract

Melon (Cucumis melo L.) is the name of a fruit plant as well as a fruit producer that belongs to theCucurbitaceae family. Many farmers try to grow melon plants but are unsuccessful due to diseases orignorance of the environment in which the melon lives. Farmers can better control melon plant infections byhaving knowledge of the different types of diseases that attack it. The success rate of disease control in melonplants can be determined by the accuracy of the method and target of the disease being controlled. NaiveBayes algorithm is a technique that will be applied in the system to identify various diseases and livingconditions of melon plants. A probability classification called Naive Bayes creates a set of possibilities bysumming the combination values and frequencies of a particular data set. In this research, a system fordiagnosing diseases and living conditions of melon plants by implementing Naive Bayes was developed.This system is built using html, php, and mysql programming languages and the use of bootstrap framework.Tests were conducted on several users to evaluate the performance, functionality, and effectiveness of thesystem. The test results show that the accuracy rate reaches 79.2%.Keywords: Implementation, Naive Bayes, Diagnosis, Melon Plant, Websites.
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
IMPLEMENTASI ALGORITMA APRIORI UNTUK MENENTUKAN POLA PEMBELIAN PRODUK MINUMAN PADA WARALABA MINUMAN DI JOMBANG Muhammad Dhany Al Farizy; Lazulfa, Indana; Ahmad Heru Mujianto; 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.v9i1.7251

Abstract

This research aims to identify purchasing patterns of beverage products at a Beverage Franchise inJombang by applying the apriori algorithm, which the algorithm is one of the data mining methods used touncover association rules among a set of items. There are two important parameters used in findingassociation rules, namely support and confidence. This research utilizes sales transaction data of beverageproducts over February 2024. The analysis process includes several key stages, such as data collection,data preprocessing, parameter determination, application of apriori algorithm, and result analysis. Theresearch results show that apriori algorithm is capable to identifying the purchase patterns of beverageproducts conducted by consumers. Out of the 124 association rules formed, there are several itemcombinations with the strongest association rules among others. In the 3-itemset combination, there is acombination of purchasing Esteh Melati, Cookies & Cream, and Esteh Matcha Original with a confidencevalue of 100% and a lift ratio of 1,38. Meanwhile, in the 2-itemset combination, there is a combination ofpurchasing Esteh Matcha Original and Cookies & Cream with a confidence value of 90,48% and a liftratio of 1,25. Therefore, it can be concluded that apriori algorithm can understand consumers purchasingbehavior and assist business owners in making decisions to formulate strategies of their business.Keywords: Apriori Algorithm, Purchase Patterns, Beverage Products, Data Mining
IMPLEMENTASI METODE NAIVE BAYES UNTUK KLASIFIKASI PENENTUAN KELAS PENGAJIAN DI MA’HAD AL-JAMI’AH UNHASY TEBUIRENG JOMBANG Khoiry Mahmud; Ahmad Heru Mujianto; Mufarrihah, Iftitaahul; Muhammad Fatkhur Rizal
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.v9i1.7252

Abstract

Data mining is a phase in the knowledge discovery in databases (KDD) process that seeks to identifyimportant, useful, and simply understandable new patterns or models. The recitation class at Ma'had Al-Jami'ah UNHASY Tebuireng Jombang was established using the classification method in data mining forthis study. Ma'had Al-Jami'ah UNHASY is an educational institution associated with Hasyim Asy'ariUniversity. Its primary focus is on fostering entrepreneurship and pesantren. Currently, the selectionprocess for recitation classes, specifically tahfidz and tahsin classes, is still carried out manually, leading toa time-consuming and ineffective procedure. The aim of this project is to develop a classification systemthat utilizes the Naïve Bayes method to accurately identify recitation classes. The Naïve Bayes approachwas chosen for its simplicity and ease of implementation. The dataset attributes used in this inquiry are thetest results of the mahasantri in writing, memory, and reading the Quran. This research is expected to helpthe administration of Ma'had Al-Jami'ah UNHASY in improving the process of selecting recitation classesto make it more efficient and effective. Furthermore, it will provide a system with the ability to categorizethe classes of Ma'had Al-Jami'ah mahasantri into two distinct groups: "Tahfidz" and "Tahsin”.Keywords: Data mining ,classification, Naïve Bayes Algorithm

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