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All Journal Ed-Humanistics : Jurnal Ilmu Pendidikan Jurnal Abdimas Kartika Wijayakusuma Journal of Informatics and Computer Science (JINACS) Indonesian Research Journal on Education Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Journal of Emerging Information Systems and Business Intelligence (JEISBI)
I Kadek Dwi Nuryana, I Kadek Dwi
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Religion Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Modeling and Simulation of the Effectiveness of Patchwork Sandal Production Using Bpmn at Umkm Handycraft Sidoarjo: Pemodelan Dan Simulasi Efektivitas Produksi Sandal Kain Perca Menggunakan Bpmn Pada Umkm Handycraft Sidoarjo Lailia, Mairatul; Nuryana, I Kadek Dwi
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.v5i3.62247

Abstract

This study aims to improve the production process efficiency at UMKM Handycraft Rahayu Art, which specializes in making patchwork sandals in Sidoarjo. Through the BPMN (Business Process Modeling and Notation) approach, this research explores problem identification, business process modeling, and simulation to design effective improvements. Through field observations and interviews with stakeholders, the main problems in the production process were identified, including delays in the delivery of raw materials and inefficiencies in the workflow. Modeling and simulation steps were then taken to gain an in-depth understanding of the business process and propose improvement solutions. The modeling results showed an increase in throughput efficiency from 63.48% to 88.71% in scenario 1 and 86.73% in scenario 2. Additionally, the minimum process time was significantly reduced from 24 days 4 hours 10 minutes to 19 days 10 hours in scenario 1 and 15 days 44 minutes in scenario 2.
A Demand Forecasting Model For Women's Sandals in the MSME Supply Chain Using the Linear Regression Algorithm: A Case Study of Ann-D'Mello Sandals Ustadha, Muchtarotun Novia; Nuryana, I Kadek Dwi
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.v5i3.62427

Abstract

Ann-D'Mello Sandals faces challenges in production management due to the lack of systematic production planning and reliance on intuition for demand forecasting. This approach results in inaccurate production quantities and potential losses. This research applies the linear regression method to analyze historical demand data for women's sandals and predict future demand. This method allows for the identification of patterns in historical data, aiding MSME like Ann-D'Mello Sandals in optimizing production based on the relationship between variables such as fashion trends, popularity, seasonality, and other economic factors. The aim of this study is to apply a linear regression algorithm to predict future demand for women's sandals and evaluate the accuracy of these predictions. The results indicate that applying the linear regression algorithm to forecast demand over the next 48 weeks shows an upward trend, with predictions reaching over 4,000 pairs by week 248. This demonstrates a promising market potential for women's sandals and can help MSME in planning more effective production and marketing strategies to meet the increasing demand. The evaluation of the linear regression model shows good performance with an Average MAPE value of 2.79 on the training set and 4.65 on the testing set, using a 10-fold Time Series Cross-Validation (TMCV) scenario. The low MAPE values indicate that the model can predict demand with high accuracy. Overall, this linear regression model has proven effective in forecasting demand for women's sandals, providing valuable guidance for MSME to optimize their production and marketing strategies.
Analisis Faktor yang Mempengaruhi Intensi Penggunaan Berkelanjutan terhadap E-Learning UNESA Rengganis, Rohmanialuhri; Nuryana, I Kadek Dwi
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.v5i3.62435

Abstract

E-learning adalah strategi pembelajaran yang memanfaatkan inovasi dalam data dan komunikasi untuk mengakses dan memfasilitasi pembelajaran. Universitas Negeri Surabaya (UNESA) memperkenalkan e-learning yang dapat diakses melalui Sinau Digital UNESA, namun implementasinya belum optimal. Penelitian ini bertujuan untuk memperjelas faktor-faktor apa saja yang mempengaruhi pengguna dalam terus menggunakan e-learning UNESA.Penelitian ini menggunakan kombinasi penggabungan metode Unified Theory of Acceptance and Use Technology3 (UTAUT3) dengan Expectation Confirmation Model (ECM). Penelitian ini menggunakan data dari 185 responden mahasiswa teknik UNESA yang merupakan pengguna e-learning UNESA. Data tersebut diolah dengan menggunakan metode SEM-PLS dan software SmartPLS 4. Hasil penelitian ini adalah faktor-faktor yang secara signifikan dan menyeluruh mempengaruhi keberlanjutan pemanfaatan e-learning UNESA adalah performance expectancy, facilitating conditions, effort expectancy, personal innovativeness dan habit. Sementara itu, hubungan antara faktor-faktor yang tidak signifikan terhadap intensi penggunaan berkelanjutan e-learning UNESA adalah satisfaction, hedonic motivation, dan social influence.
Analisis Proses Bisinis dan Manajemen Supply CV. Adem Teknik Menggunakan Metode Business Process Modelling Notation (BPMN) Rohmadianto, Zidan; Nuryana, I Kadek Dwi
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.v5i3.62470

Abstract

Adem Teknik adalah salah satu penyedia layanan jasa servis AC yang berlokasi di Surabaya. Namun, perusahaan ini menghadapi kendala dalam mengelola proses bisnis yang ada. Proses bisnis merupakan serangkaian instrumen yang digunakan untuk mengorganisir kegiatan dan meningkatkan pemahaman tentang keterkaitan berbagai aktivitas dalam mencapai suatu tujuan. Untuk memodelkan proses bisnis, digunakan sebuah metode yang dikenal sebagai Business Process Modelling Notation (BPMN). BPMN adalah standar yang menyediakan notasi grafis guna menjelaskan sebuah proses bisnis secara rinci dan terstruktur. Adem Teknik memiliki beberapa proses bisnis utama, antara lain proses bisnis servis, penjualan suku cadang, restok suku cadang, pendataan penjualan, dan penggajian. Dalam praktiknya, berbagai masalah ditemukan dalam pelaksanaan proses-proses ini, yang berdampak negatif pada efisiensi operasional dan kualitas pelayanan. Untuk mengatasi masalah ini, penelitian dilakukan untuk mengidentifikasi dan menganalisis permasalahan yang ada pada proses bisnis di Adem Teknik. Berdasarkan hasil temuan tersebut, akan diberikan usulan perbaikan yang diharapkan dapat menjadi acuan bagi Adem Teknik dalam memperbaiki proses bisnis mereka. Perbaikan ini tidak hanya bertujuan untuk meningkatkan efisiensi dan efektivitas operasional, tetapi juga untuk meningkatkan kualitas pelayanan kepada pelanggan. Dengan menerapkan BPMN dalam pemodelan proses bisnis, Adem Teknik dapat memperoleh gambaran yang lebih jelas dan terstruktur tentang bagaimana aktivitas bisnis mereka saling berkaitan dan di mana letak masalah yang perlu diatasi. Melalui pemahaman yang lebih baik ini, diharapkan Adem Teknik dapat melakukan perbaikan yang signifikan dalam proses bisnis mereka, sehingga dapat meningkatkan daya saing dan kualitas layanan yang diberikan kepada pelanggan.
Analysis of User Satisfaction MELISA using End User Computing Satisfaction (EUCS) and Importance Performance Analysis (IPA) Methods: Analisis Kepuasan Pengguna MELISA menggunakan Metode End User Computing Satisfaction (EUCS) dan Importance Performance Analysis (IPA) Ningrum, Puspita Westi Erlitiya; Nuryana, I Kadek Dwi
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.v5i3.63646

Abstract

The Ministry of Education and Culture made an innovation by launching the Merdeka Belajar Kampus Merdeka or MBKM program to help students preparing the transformation. To succeed the program, UNESA built a digital service called UNESA MBKM Information System or "MELISA". MELISA has been used since 2022 and only conducted an evaluation in 2023 after which there were improvements by adding several features and changing some of its appearance. In this study, researchers measured the level of user satisfaction of MELISA using the End User Computing Satisfaction (EUCS) and Importance Performance Analysis (IPA) methods. The purpose of this study is to determine the level of user satisfaction of MELISA and to determine the aspects that need to be improved and maintained by MELISA. Data collection was carried out by distributing questionnaires to UNESA students class of 2021. The number of samples used in this study were 153 respondents. The results of this study indicate that the level of user satisfaction based on the gap value obtained negative results on all indicators. Based on the results of the suitability level analysis, the result is 80.0% which includes <100%. Based on these two results, it indicates that MELISA's performance is still unable to meet the expectations of its users or still does not satisfy its users. In addition, based on the interpretation of the IPA diagram, indicators that are included in quadrant I, which means that they really need priority to make improvements, including user friendly (E1), transparency (C4), and suitability (F2).
ANALISIS TINGKAT KEPUASAN DAN PENERIMAAN MAHASISWA TERHADAP SIDIA DENGAN MENGGUNAKAN METODE EUCS DAN TAM Sa'diyah, Lailatul Mukharromatus; Nuryana, I Kadek Dwi
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.v5i3.63736

Abstract

In the current era of globalization, technological developments in the world of education have created various new features that can help in the teaching and learning process. One implementation is E-learning, which enables the online learning process. Surabaya State University (UNESA) implemented E-Learning specifically for students in 2015 to facilitate teaching and learning activities to be more flexible because the material in UNESA E-Learning can be accessed anytime and anywhere, is easy to understand, saves energy, costs and time. Since 2023, the UNESA Single Sign On (SSO UNESA) Dashboard has changed its appearance and tools. One of the SSO facilities that has undergone changes is UNESA E-learning. Therefore, this research aims to conduct a comprehensive analysis of the level of student acceptance and satisfaction with the use of SIDIA. This analysis will be carried out using the End User Computing Satisfaction (EUCS) and Technology Acceptance Model (TAM) methods. The data collection process was carried out by distributing questionnaires to 100 respondents. Based on the results of the analysis carried out using the EUCS method, the results obtained were that all hypotheses were accepted, namely Content had an effect on user satisfaction, Accuracy had an effect on user satisfication, Timeliness had an effect on user satisfication, Format had an effect on user satisfication, and Ease of Use had an effect on user satisfication . This shows that users are satisfied with SIDIA. Meanwhile, for the TAM method, the results also showed that all hypotheses were accepted, namely Perceived Ease of Use (PEOU) had an effect on Acceptance of IT, and Perceived Ease of Use (PEOU) had an effect on Acceptance of IT. This shows that the user accepts the use of the SIDIA system. Keywords: E-Learning, SIDIA, Satisfaction, Acceptance, Users, EUCS (End user Computing Satisfaction), TAM (Technology Acceptance Model).
Implementasi Algoritma K-Nearest Neighbors dalam Mengetahui Kepuasan Pengguna Aplikasi CapCut: Implementation of the K-Nearest Neighbors Algorithm in Assessing User Satisfaction with the CapCut Application Iranti, Alda Maretina; Nuryana, I Kadek Dwi
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.v5i3.63772

Abstract

ANALISIS KEPUASAN PENGGUNA TERHADAP E-LEARNING UNIVERSITAS NEGERI SURABAYA: ANALYSIS OF USER SATISFACTION WITH E-LEARNING AT UNIVERSITAS NEGERI SURABAYA Herviyandasari, Jasica Ardana; Nuryana, I Kadek Dwi
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.v5i3.64045

Abstract

Pembelajaran daring atau online telah menjadi bagian integral dari pendidikan di Indonesia, termasuk pendidikan tinggi, terutama di masa pandemi COVID-19. Salah satu metode pembelajaran daring yang banyak digunakan adalah E-Learning. Universitas Negeri Surabaya (Unesa) telah mengimplementasikan E-Learning untuk memfasilitasi proses belajar mengajar jarak jauh. Saat ini, mahasiswa dapat mengakses pendidikan e-learning melalui SIDIA(Sinau Digital UNESA). Kepuasan Penggunaan Sistem E-Learning UNESA diukur dengan menggunakan model End User Computing Satisfaction (EUCS) yang mencakup lima dimensi yaitu akurasi, konten, format, kemudahan penggunaan, dan ketepatan waktu. Pengumpulan data dilakukan dengan menyebarkan kuesioner kepada Mahasiswa Sistem Informasi, angkatan 2022 yang mengikuti mata kuliah Literasi Digital yang berjumlah 150 mahasiswa. Teknik analisa yang digunakan adalah analisis deskriptif. Pada penelitian ini dilakukan 3 uji instrumen yaitu Uji Valilditas, Uji Reabilitas, dan Convergen Validity. Hasil penelitian menunjukkan bahwa secara keseluruhan, mahasiswa merasa puas dengan sistem yang digunakan. Nilai yang memiliki interval tertinggi ada pada indikator Timeliness T1(Kecepatan) yaitu 4,08. Sedangkan yang terendah ada pada indikator Content C2 (Manfaat) yaitu 3,90. Mengindikasikan perlunya peningkatan dalam kualitas dan relevansi konten yang disajikan. Meskipun demikian, beberapa area seperti peningkatan interaktivitas konten dan keandalan server masih memerlukan perhatian lebih untuk memastikan pengalaman pengguna yang lebih optimal di masa yang akan datang. Penelitian ini memberikan wawasan yang berharga bagi pengembangan lebih lanjut dari sistem ELearning di Unesa dan institusi pendidikan lainnya.
Analisis Sentimen Masyarakat terhadap Kebijakan Iuran Tabungan Perumahan Rakyat (Tapera) pada Platform X Menggunakan Algoritma Naïve Bayes Classifier dan Support Vector Machine Rizqiyah, Anis Maulidatur; Nuryana, I Kadek Dwi
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.v5i3.64074

Abstract

Pemerintah Indonesia menetapkan perubahan terhadap PP Nomor 25 Tahun 2020 tentang Penyelenggaraan Tabungan Perumahan Rakyat (Tapera) melalui PP Nomor 21 Tahun 2024. Dalam perubahan tersebut gaji pekerja Indonesia akan dipotong 3% untuk Tapera. Hal tersebut menimbulkan perdebatan dikalangan masyarakat, terutama pengguna platform X. Pada platform tersebut, masyarakat berbagi opini dan pandangan mereka terhadap kebijakan Tapera. Penelitian ini bertujuan untuk mengklasifikasikan tweet terkait kebijakan Tabungan Perumahan Rakyat (Tapera) menggunakan algoritma Naïve Bayes dan Support Vector Machine (SVM), sehingga didapatkan informasi mengenai sentimen masyarakat terhadap kebijakan tersebut. Data sejumlah 1280 tweet didapatkan dari hasil crawling web X. Data tersebut diproses menggunakan library sklearn dan diberikan label menggunakan InSet Lexicon. Data juga diproses menggunakan SMOTE. Klasifikasi dilakukan dengan membagi data ke dalam rasio 80:20, 70:30 dan 60:40. Hasil klasifikasi menggunakan algoritma Naïve Bayes dan SVM kemudian dievaluasi menggunakan confusion matrix dan k-fold cross validation. Dari hasil klasifikasi didapatkan bahwa sentimen masyarakat cenderung kearah negatif terhadap kebijakan Tapera. Didapatkan juga bahwa algoritma SVM memiliki akurasi yang lebih baik dibandingkan dengan algoritma Naïve Bayes. Sebelum SMOTE, SVM memiliki akurasi 84% pada rasio 80:20 dengan kernel linear dan C=2, sedangkan Naïve Bayes memiliki akurasi 81% pada rasio 80:20 dengan model Complement dan alpha 0.01. Setelah SMOTE, SVM memiliki akurasi 93% pada rasio 80:20 dengan kernel rbf dan C=3, sedangkan Naïve Bayes memiliki akurasi 89% pada rasio 60:40 dengan model Complement dan alpha 0.1.
Penerapan Gamifikasi Dalam Pembelajaran Berdiferensiasi Untuk Meningkatkan Hasil Belajar Pada Materi Layouting CSS Nuryana, I Kadek Dwi; Santoso, M Haries Eko; Aisyiah, Jamilatul; Hamdani, Hilman; Madani, Heru Galang Ardi Reda; Utomo, Ilham Wahyu; Hasan, Jamal; Muizadin, Irwan
Ed-Humanistics : Jurnal Ilmu Pendidikan Vol 10 No 1 (2025): Ed-Humanistics
Publisher : Fakultas Ilmu Pendidikan (FIP) Universitas Hasyim Asy'ari (Unhasy) Tebuireng Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/ed-humanistics.v10i1.8982

Abstract

This study aims to improve student learning outcomes in CSS layouting material through the application of gamification using the Flexbox Froggy application. This research is based on the finding that many students tend to simply copy code examples without understanding the underlying concepts. Additionally, learning methods that rely solely on text editors are often monotonous and cause students to feel bored. This study was conducted at SMKN 7 Surabaya with a sample of 36 students from class XI TKJ. The research method used is Classroom Action Research (CAR), involving iterative cycles consisting of planning, implementation, observation, and reflection. Data collection techniques included formative assessment, observation, and documentation. The learning process was carried out in two cycles, with assessments conducted at the end of each cycle to measure student learning outcomes. In Cycle I, learning was conducted using lecture and presentation methods, while in Cycle II, a gamification approach was applied using Flexbox Froggy. The results showed a significant improvement in student learning outcomes. The average student score increased from 58.6 in the pre-cycle to 74.6 in Cycle I, and further increased to 88 in Cycle II. The percentage of students who achieved mastery learning also increased from 8% in the pre-cycle to 61% in Cycle I, and reached 92% in Cycle II. These findings indicate that the application of gamification in differentiated learning can enhance student engagement and understanding.
Co-Authors Abidin, Ananda Rizky Agustin, Putri Amelia Aisyiah, Jamilatul Al Hakim, Mochamad Muzayyid Andik, Achmad Ardiansyah, Fernando Aries Dwi Indriyanti, Aries Dwi Arsydi, Mohammad Dandi Auliyaurroshidin, Maulana AZIZ Bagus, Bagus Laksono Yudo Atmojo Bashir, Alifia Octaviany Bayhaqi, Fachrul Bernika, Hilda Chlarasasti, Yefi Daniswara, Anak Agung Aryasatya Dewi Kumala Sari Dewi, Sherlyani Puspita Dzulfaqqor, Moh. Fatihul Farras Elwino, Elwino Alif Ramadhan Fadhila, Lizza Nur Ferdani, Happy Septian Firdausi, Atika Shima Hadi, Febria Erliana Hamdani, Hilman Hanif, Zidny Hasan, Jamal Hasna, Widya Berlian Dliya Herviyandasari, Jasica Ardana I Gusti Lanang Putra Eka Prismana, I Gusti Lanang Putra Eka Iranti, Alda Maretina Istiqomah, Nurul - Kartikasari, Dinda Kirom, Mohammad Ulil Kurniawati, Devi Riskhi Lailia, Mairatul Lathifatuz zuhroh Madani, Heru Galang Ardi Reda Maghfiroh, Saidatul Moch. Faisal Moerdyanto, Octarian Prasetya Mubaroq, Husnul Muizadin, Irwan Mujianto, Ahmad Heru Niasmara, Jeptika Herni Ningrum, Puspita Westi Erlitiya Nur Alian, Galang Maftuh Nur Rahmatullah, Muhammad Rafi Atha Panama, Mochamad Ghozy Satur Prameswari, Alinda Ayu Pramudita, Genta Pratama, Kevin Krisna Adji Pratiwi, Dwi Septia Primasari, Bela Dwi Prismala, Darisva Putri, Amara Indah Putri, Intan Rahma Diana Rafeda Ramma, Rafif Ramadhan, Gemilang Idam Rengganis, Rohmanialuhri Rizqiyah, Anis Maulidatur Robbiatul Adawiyah Rohma, Riska Wahyuni Ainun Rohmadianto, Zidan Rosida, Aulia Mufidatur Sa'diyah, Lailatul Mukharromatus Salsabilah, Balqist Naurah Santoso, M Haries Eko Sari, Devit Etika Shihabudin, Ahmad Susanto, Deafitria Putri Ulumudin, Febri Nur Ustadha, Muchtarotun Novia Utomo, Ilham Wahyu Wicaksono, Satria Adi