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All Journal Journal of Informatics and Computer Science (JINACS) Journal of Emerging Information Systems and Business Intelligence (JEISBI) Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
I Kadek Dwi Nuryana
D3 Manajemen Informatika, Fakultas Teknik, Universitas Negeri Surabaya
Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Library & Information Science

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Role Of Gray Level Co-Occurrence Matrix for Convolution Neural Network Transfer Learning in Coffee Bean Classification Maharani, Herlina Syafhita; Dwi Nuryana, I Kadek
Journal of Informatics and Computer Science (JINACS) Vol. 5 No. 01 (2023)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jinacs.v5n01.p1-6

Abstract

Penerapan Progressive Web Apps untuk Pengembangan Fitur Push Notification dan Multi-Platform Installable pada Aplikasi Beasiswa Billah, Hilmi Almuhtade; Dwi Nuryana, I Kadek
Journal of Informatics and Computer Science (JINACS) Vol. 5 No. 01 (2023)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jinacs.v5n01.p7-15

Abstract

Design and Build an Inventory Information System Using the Web-Based First-In First-Out (FIFO) Method at DNA Art Shop: Rancang Bangun Sistem Informasi Inventory Barang Menggunakan Metode First-In First-Out (FIFO) Berbasis Web Pada DNA Art Shop Adi Duta Saputra P., I Gede; Dwi Nuryana, I Kadek
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 2 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i2.59431

Abstract

MSMEs (Micro, Small, and Medium Enterprises) have a very important role in a country's economy. One of the MSMEs engaged in tourism is DNA Art Shop, located in Tanah Lot Art Market, Tabanan, Bali. This UMKM sells various souvenirs and souvenir clothes for tourists visiting Tanah Lot. Of course, in running business operations, each MSME has its own obstacles. Based on information obtained during interviews with sellers from DNA Art Shop, the obstacles faced are related to the inventory of goods. This obstacle is caused by the process of recording incoming and outgoing goods that have not been recorded properly, excess and shortage of stock items due to errors in stock information, and the accumulation of old goods that have not been sold. In connection with these problems, the purpose of this study is to design an inventory information system that can overcome the obstacles of recording goods at DNA Art Shop. The design of this information system uses the Rapid Application Development (RAD) method which consists of Requirement Planning, Workshop Design, Implementation, and Testing. The inventory management method applied in this study is the First In First Out (FIFO) method where the first item to enter inventory is the first to be sold or used. The result of this research is a website-based inventory information system that is a solution to the problem of data collection of goods at DNA Art Shop.
Most Desired Product Classification Model For Sales of Women's Sandals Using the Naive Bayes Method (Case Study: UMKM Ann-d'Mello Sandals Krian Sidoarjo) Innayah, Tifanny Maulida; Dwi Nuryana, I Kadek
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 5 No. 3 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v5i3.62426

Abstract

ANALYSIS OF USER SATISFACTION OF DANA APPLICATIONS USING THE END USER COMPUTING SATISFACTION (EUCS) METHOD AND DELONE AND MCLEAN METHOD Sultan Triabidin, Muchammad; Dwi Nuryana, I Kadek
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 2 (2025): Vol. 06 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i2.70207

Abstract

This study aims to analyze the satisfaction of DANA application users. The development of technology today we see a new innovation in the form of digital payments which aims to facilitate non-cash transactions among the public. The model used in this research is End User Computing Satisfaction (EUCS) is a method for measuring the level of user satisfaction by comparing expectations and reality. DeLone and McLean is a model used to identify the factors that cause success. The results showed that the overall level of satisfaction of DANA application users was at a satisfied level. Some variables that can be improved again to have a significant effect are accuracy, easy of use, service quality, system quality, and timeliness. However, some variables that can be improved but do not have a significant effect are content, format, and information quality.
Perbandingan Metode ARIMA dan SARIMA dalam Forecasting Anggaran Bantuan Usaha BAZNAS Surabaya Zahra, Salsabila Nur Zahra; Dwi Nuryana, I Kadek
Journal of Informatics and Computer Science (JINACS) Article In Press(1)
Publisher : Universitas Negeri Surabaya

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Abstract

Abstrak— Penelitian ini dilatarbelakangi oleh kebutuhan BAZNAS Kota Surabaya dalam meningkatkan efisiensi perencanaan anggaran distribusi bantuan rombong dan modal usaha. Selama ini, proses perencanaan masih dilakukan secara manual, menyebabkan terjadinya overbudgeting dan underbudgeting yang berdampak pada ketidaktepatan distribusi bantuan. Penelitian ini bertujuan membangun model peramalan anggaran menggunakan pendekatan time series forecasting dengan metode ARIMA dan SARIMA, serta membandingkan performanya untuk mengetahui model terbaik yang sesuai karakteristik data. Data yang digunakan adalah data historis distribusi bantuan dari tahun 2022 hingga 2024 yang telah diolah dan divisualisasikan. Penelitian ini mengacu pada pendekatan CRISP-DM dalam setiap tahapnya. Hasil evaluasi menunjukkan bahwa model SARIMA memiliki performa terbaik dengan nilai MAE sebesar Rp 1.397.828, RMSE sebesar Rp 2.163.667, dan MAPE sebesar 0,89%, dibandingkan model ARIMA yang memiliki MAPE lebih tinggi. Temuan ini menunjukkan bahwa SARIMA lebih mampu menangkap pola musiman dalam data distribusi bantuan. Dengan adanya model prediktif ini, BAZNAS Kota Surabaya diharapkan dapat merencanakan anggaran secara lebih akurat dan responsif berdasarkan data historis.   Kata Kunci— ARIMA, SARIMA, Forecasting, CRISP-DM, Streamlit,  Distribusi Bantuan, Rombong Usaha, Modal Usaha
Aplikasi Pengolahan Nilai Siswa Berbasis Web Dengan Metode Fuzzy Logic Tsukamoto (Studi Kasus : MI Bustanul Ulum Brudu) Andrik Santoso, Muhammad; Dwi Nuryana, I Kadek; Mufarrihah, Iftitaahul
Inovate Vol 5 No 1 (2020): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v5i1.3074

Abstract

In the graduation criteria, the final scores of a student who determines whether or not to pass is obtained from the national exam scores and school scores in both practical and written examinations. On the other student scores can also be used as a reference in determining high achieving students and students who deserve help. Therefore, a school needs an application processing system for students can calculate and assess automatically Web based. This system uses Fuzzy Logic Tsukamoto method to determine high-achieving students and eligible students to get help from the school. This system uses four user logins that is Admin, Homeroom, Teacher, and Student. Each user login has a different system. Admin users can process student and teacher data. User Homeroom can control a students of class according to their homeroom and homeroom can print student score in the form of report. User Teachers can provide student scores according to subjects and can print reports in the form of Legers (list of student scores). User Students can see the scores obtained. Scores needed in the system that is score assignment, UH (Quiz), PTS (Mid Semester Assessment), and PAS (Final Semester Assessment). Keyword : Processing Student Scores, Fuzzy Logic Tsukamoto, Web
Rancang Bangun Aplikasi Ealah E- Learning Pengenalan Perograman Dasar Berbasiss Web Dengan Menggunakan Algoritma Edit Distance Pada Koreksi Otomatis Jawaban Essay Firmanda Himawan, Ahmad; Dwi Nuryana, I Kadek; Ali, Mahrus
Inovate Vol 5 No 2 (2021): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v5i2.3119

Abstract

E-learning is an innovative learning medium that must be optimized, so that education delivery will continue to develop. By using E-learning, the problems of space and time that have been an obstacle in learning are no longer a barrier. Apart from that, the existence of e-learning which has the feature of being able to correct essay answers automatically is felt to be able to help teachers to provide grades to students, and students can learn independently and can get more learning material and can communicate with teachers outside the classroom. In this research the USDP (unified software development process) method, Edit Distance algorithm, and Cosine Simmiliarity are used to match the students' answers with the teacher's answer key, the counting process starts from Text prepocessing, Case floading, filtering, and tokenizing, then processing of Edit Distance and Cosine Simmiliarity. The results of this study are in the form of a web-based e-learning application which is expected to help learning, especially for teachers, to make it easy to give grades to students in exams or essay assignments. In the tests conducted by the author with data from 5 essay questions along with the answer keys and student answer data, and the authors conducted 2 application tests using the same data by applying the edit distance algorithm the value = 94.98 while without the edit distance algorithm it got a value of = 78, 04 and the difference in value = 16.94 from the total value = 100. Keywords: E-learning, USDP, unified software development process, Cosine Simmiliarity, Edit Distance, Levenstein Distance, Essay Automatic Correction.
Penerapan Metode Exponential Smoothing Pada Prediksi Dana Donatur Di Lembaga Amil Zakat Ummul Quro Kabupaten Jombang Anggung Mestuti Kaprawiran, Immas; Dwi Nuryana, I Kadek; Augusta Jannatul Firdaus, Reza
Inovate Vol 5 No 2 (2021): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v5i2.3122

Abstract

Donor Fund Prediction is a prediction system that aims to predict donor funds at the Ummul Quro Amil Zakat Institution, Jombang Regency. The Donor Fund Prediction is used to predict the next year based on previous year's data. This study focuses on using exponential smoothing while for the prediction method initially using moving averages. The calculated data is 2014-2018 while 2019 is used for testing prediction errors. In predicting exponential smoothing, alpha constant value which has the smallest error is needed. To get it, several stages are needed, namely, predicting 2014-2019 using a moving average with a constant defined by the user, predicting 2014-2018 with exponential smoothing with an alpha value between 0 to 1, looking for the MAPE (Mean Absolute Percentage Error) value at each value alpha used. After obtaining alpha with the smallest MAPE, the alpha value is used to predict 2019. The test results explain that calculations using a program with the Moving average method and Exponential smoothing successfully predict with an accuracy of 93.32% or only have an error of 6.68% instead of using only the method. The moving average only has an accuracy of 90.25%. Keywords: Prediction, Exponential smoothing, Moving average
Perancangan Sistem Informasi Prediksi Curah Hujan Pada Kabupaten Jombang Menggunakan Metode Fuzzy Time Series Suhartanto, Martin; Dwi Nuryana, I Kadek; Heru Mujianto, Ahmad
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.v6i1.3167

Abstract

Weather and climate information is very important for some people to support life. In agriculture, for example, climate change has a major effect on changing planting patterns. Fuzzy Time Series (FTS), Rainfall prediction is used to understand the intensity of future rainfall that serves as a reference in making the right decisions and preparing to address future problems. In this study using the Fuzzy Time Series (FTS), this method can be used to solve forecasting problems with linguistic historical data and real numbers by converting the real number data into linguistic variables. The results of this study are a website-based system that can predict rainfall in the coming year by using previous rainfall history data as a reference for prediction calculations. from the calculation done by the system in predicting rainfall by using the Fuzzy Time Series method as an example in this silver sub-district produces an average mape value of 0.90 which means it has excellent performance because it produces an average mape forecasting error value of less than 10. Key words: Prediction, Rainy, FTS, website
Co-Authors 'Ulhaq, Arafat Adi Duta Saputra P., I Gede Aininnisa, Firda Andrik Santoso, Muhammad Anggung Mestuti Kaprawiran, Immas Augusta Jannatul Firdaus, Reza Billah, Hilmi Almuhtade Firmanda Himawan, Ahmad Hadi Sucipto, Hadi Iftitaahul Mufarrihah Innayah, Tifanny Maulida Maharani, Herlina Syafhita Mahrus Ali Mujianto, Ahmad Heru Shuffy, Muhandis Suhartanto, Martin Sultan Triabidin, Muchammad Zahra, Salsabila Nur Zahra