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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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Forecasting Book Inventory Needs at CV. Irmandiri Pustaka Using Holt-Winters Method Auliyaurroshidin, Maulana; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 3 (2025): Vol. 06 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i3.71248

Abstract

This study aims to forecast inventory needs at CV. Irmandiri Pustaka using the Holt-Winters Multiplicative method. The company distributes Student Worksheets (LKS), with seasonal demand that rises at the start of each semester. Accurate forecasting is crucial to manage inventory efficiently and avoid overstocking or shortages. Holt-Winters was chosen for its ability to capture both trend and seasonal patterns. The forecast uses sales data from January 2024 to June 2025. Forecast accuracy is evaluated using Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD), and Mean Squared Error (MSE). Initial parameter settings produced high errors, prompting optimization through Excel’s Solver feature. The optimized parameters α = 0.01, β = 0.01, and γ = 0.04 reduced the MAPE to 25.19%. These results show that the Holt-Winters method can provide reliable inventory forecasts, especially after the second seasonal cycle, and serve as a helpful tool for inventory planning decisions.
Optimalisasi Pembelajaran Berbasis Pemetaan Kemampuan Peserta Didik Jurusan Teknik Komputer dan Jaringan SMK Rajasa Surabaya Ulumudin, Febri Nur; Hadi, Febria Erliana; Ardiansyah, Fernando; Ramadhan, Gemilang Idam; Ferdani, Happy Septian; Nuryana, I Kadek Dwi; Hanif, Zidny; Sari, Devit Etika
Indonesian Research Journal on Education Vol. 5 No. 2 (2025): Irje 2025
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v5i2.2484

Abstract

Penelitian ini bertujuan untuk menganalisis gaya belajar siswa kelas X TKJ di SMKS Rajasa Surabaya dalam konteks pembelajaran Informatika. Setiap siswa kelas X TKJ memiliki gaya belajarnya masing-masing dalam mempelajari materi pelajaran. Hasil penelitian menunjukkan bahwa sebagian besar siswa memiliki preferensi gaya belajar kinestetik, diikuti oleh gaya belajar auditori dan visual. Jenis penelitian ini merupakan penelitian deskriptif kualitatif dengan metode pengumpulan data berupa observasi, angket, kuesioner dan dokumentasi. Penelitian ini dilakukan di SMK Rajasa Surabaya dengan subjek penelitian siswa kelas X TKJ berjumlah 60 siswa. Siswa diberi angket Likert Scale 3 poin. Materi disampaikan dengan berbagai media ajar sehingga dapat diterima dengan baik oleh  gaya belajar masing-masing siswa. Post Test dilakukan diakhir proses pembelajaran untuk mengetahui pemahaman siswa lebih lanjut. Hasil penyebaran angket tingkatan gaya belajar siswa untuk kinestetik berada di tingkat tinggi, visual pada tingkatan sedang, dan gaya belajar auditori pada tingkatan rendah. Berdasarkan hasil penelitian, diperoleh bahwa nilai siswa pada pembelajaran yang mengimplementasikan gaya belajar lebih baik daripada sebelumnya.
ANALISIS TINGKAT KEPUASAN PELANGGAN TERHADAP LAYANAN GOPAY MENGGUNAKAN STRUCTURAL EQUATION MODELING : (STUDI KASUS: KOTA SURABAYA) Rosida, Aulia Mufidatur; Nuryana, I Kadek Dwi
Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Vol. 2 No. 8 (2024): Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi
Publisher : Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

GOPAY adalah dompet digital yang dapat digunakan oleh masyarakat umum, khususnya warga Surabaya, kota metropolitan terbesar kedua di Indonesia yang sebagian besar masyarakatnya menggunakan ponsel untuk bertransaksi. Tujuan dari penelitian ini adalah untuk mengidentifikasi variabel-variabel yang mempengaruhi kebahagiaan pengguna GOPAY. ada 6 faktor yang berkaitan dalam pengaruh kepuasan pelanggan, yaitu technological self-efficacy, perceived ease of use, perceived usefulness, perceived risk, security system, dan perceived trust. Ada 100 responden survei masyarakat Surabaya yang menggunakan minimal 1 kali tranksasi aplikasi GOPAY. Penyebaran kuesioner secara online menjadi sumber data utama untuk penelitian ini. Karena model SEM digunakan dalam penelitian ini untuk menganalisis data, maka model yang digunakan tidak terbatas untuk menggunakan variabel tambahan lain pada model penelitian dengan perangkat lunak SmartPLS 3.0. Hasil penelitian ini yaitu pengaruh perceived ease of use terhadap customer satisfaction, technological self-efficacy terhadap customer satisfaction, perceived ease of use terhadap perceived usefulness, dan perceived ease of use terhadap customer satisfaction menunjukkan hubungan signifikan dan positif yang menimbulkan ada 3 faktor yang saling mempengaruhi pada kepuasan pelanggan yang menggunakan layanan GOPAY.
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.
Penguatan Kompetensi Guru dalam Merancang Media Pembelajaran Menggunakan Teknologi Augmented Reality Indriyanti, Aries Dwi; Prismana, I Gusti Lanang Putra Eka; Nuryana, I Kadek Dwi; Mujianto, Ahmad Heru
Jurnal Abdimas Kartika Wijayakusuma Vol 6 No 3 (2025): Jurnal Abdimas Kartika Wijayakusuma
Publisher : LPPM Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jakw.v6i3.915

Abstract

Media pembelajaran merupakan sarana penting yang mendukung guru dalam menyampaikan materi pelajaran secara menarik, sehingga dapat meningkatkan minat dan motivasi belajar siswa. Namun, dalam praktiknya, tidak semua guru, khususnya di jenjang pendidikan dasar, memiliki kemampuan untuk menciptakan media pembelajaran yang kreatif dan mampu menarik perhatian siswa. Berdasarkan hasil survei awal, sebanyak 100% guru sekolah dasar menyatakan bahwa media pembelajaran yang inovatif berkontribusi positif terhadap peningkatan motivasi belajar siswa, dan kolaborasi dengan teknologi diyakini mampu memberikan dampak signifikan dalam proses pembelajaran. Meski demikian, 65% guru mengakui masih belum sepenuhnya memahami cara menerapkan teknologi dalam pembuatan media pembelajaran, sehingga dibutuhkan pelatihan khusus untuk meningkatkan kompetensi tersebut. Pelaksanaan pelatihan mengenai media pembelajaran berbasis Augmented Reality menunjukkan hasil yang menggembirakan, di mana para guru mengalami peningkatan pemahaman dan keterampilan dalam merancang media pembelajaran inovatif. Tingkat kepuasan peserta pelatihan mencapai 95%, sedangkan tingkat pemahaman tercatat sebesar 92%. Hasil ini menunjukkan bahwa pelatihan telah berjalan secara efektif dan berhasil membekali guru sekolah dasar dengan kemampuan untuk mengimplementasikan teknologi Augmented Reality sebagai media pembelajaran yang kreatif, inovatif, dan relevan dengan kebutuhan siswa di era digital.
Business Process Digitization in “Marbil Collection” Home Industry Using Business Process Model and Notation Kumalasari, Nadya; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2026): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.71001

Abstract

Digital transformation has become an essential requirement for small and medium enterprises, including home industries engaged in handicrafts such as bag production. However, most home industry players still run business processes manually, potentially causing various operational problems such as production delays, distribution inaccuracies, and order recording errors. This research aims to analyze and re-model business processes at Marbil Collection, a home-based business that produces bags on a make-to-order basis. The approach used was Business Process Model and Notation (BPMN), a visual standard for systematically describing business workflows. This research identified four main processes in operations, namely ordering, procurement of raw materials and production, distribution and order completion, and employee payroll. These processes were mapped in the current business process model (as-is), and then redesigned into a proposed model (to-be) that supports automation and digitization. The results of the modeling showed significant gaps in the manual system used, especially in terms of service speed, transparency, and documentation. The proposed digital process design provides a structured solution to improve efficiency, accuracy, and customer experience. This research is expected to be the basis for developing a simple information system that suits the needs of the home industry, as well as making a practical contribution to similar businesses that want to start digitalization from an understanding of their own business processes.
Risk Assessment on Wilujeng Hospital IT Process Using COBIT 2019 Framework Sari, Sindy Rosita; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2026): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.71189

Abstract

The utilization of information technology within hospitals introduced risks to both operational efficiency and patient information security. Risks at Wilujeng Hospital include information systems tracking not being updated by staff, human error due to a lack of computer skills, no available personnel dedicated to the protection of computer information, and no clear task for all staff members on how to understand systems. The hospital did not perform a risk management capability assessment which is an important part of assessing risk management maturity. This study reviewed Wilujeng Hospital's risk management capabilities using the COBIT 2019 framework and provided suggestions for improving governance. Data collection and analysis were based on the COBIT 2019 principles, specifically on capabilities through design factor analysis. The study examined three relevant components of COBIT, including DSS05 (Managed Security Services), APO07 (Managed Human Resources), and APO12 (Managed Risk). The findings indicated that all three areas achieved competency level 1 with respective scores of 61.5%, 80.55%, and 58.33%. This indicates that the hospital's risk management capabilities are still evolving and that security and human resources management should be improved to enhance IT governance and data protection.
Clustering of Goat Buyers in West Java with K-Means Algorithm Faizatul Mukaromah; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2026): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.72022

Abstract

The advancement of information technology has encouraged the utilization of data as a strategic resource across various fields, including the livestock sector. This study aims to implement the K-Means algorithm to segment goat buyers in West Java Province based on demographic characteristics such as age, marital status, geographic location, type of goat purchased, and transaction methods. This segmentation is expected to assist business actors in understanding purchasing patterns and designing more targeted marketing and distribution strategies. The study uses 1,250 transaction records and follows the stages of selection, preprocessing, transformation, data mining, and interpretation using the Knowledge Discovery in Databases (KDD) approach. Geographic distances between buyer locations and reference points were calculated using the Haversine formula. To determine the optimal number of clusters, the Elbow Method and Silhouette Score were used, with the best result obtained at a Silhouette score of 0.16 for 3 clusters. Each cluster was analyzed based on modal characteristics such as age, marital status, district, type of goat purchased, number of goats per transaction, purchase purpose, delivery method, payment method, as well as Recency, Frequency, and Monetary (RFM). The results indicate that the K-Means algorithm is effective in grouping goat buyers into relevant and meaningful segments. This information can be used by farmers and stakeholders to improve distribution efficiency, stock optimization, and data-driven marketing strategies. This study also emphasizes the importance of integrating technologies such as Python and Streamlit for interactive visualization and ID-based buyer tracking in advanced analytics.  
Implementation of Business Intelligence for Sales Analysis and Customer Segmentation at XYZ Store Azharani, Gerin; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2026): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.72050

Abstract

XYZ Retail Store has a large amount of transaction data, but it has not been optimally utilized for strategic decision making. The research aims to implement a Business Intelligence. Business Intelligence helps analyze sales data and segment key business entities, namely customers, suppliers, and products. The research methodology includes designing a datawarehouse using Kimball's Nine Step method with MySql as the database platform. Extract, Transform, Load (ETL) process is performed to prepare the data before processing with Online Analytical Processing (OLAP) approach for multidimensional sales analysis, and Data Mining with K-Means clustering algorithm to perform segmentation. The results obtained from the entire analysis, visualized using the tools of tableau.
Healthcare Data Analysis Through Business Intelligence: A Case Study With Power BI Cahyaningrum, Avikatria; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2026): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.72051

Abstract

This research aims to analyze hospital health data with the application of Power BI-based Business Intelligence (BI) to support a more precise and efficient decision-making process. The research data is taken from a public repository that provides a hospital management system database structure with complex inter-table relationships. The initial stages were carried out with the ETL (Extract, Transform, Load) process to integrate and clean the data before being entered into the data warehouse with the star and galaxy schema model. Next, analysis was conducted using Online Analytical Processing (OLAP) for medical service usage and other trends. In addition, the application of data mining using the Random Forest algorithm is also carried out for the classification of hospital busyness levels and prediction of patient re-visits based on historical data.
Co-Authors Abidin, Ananda Rizky Agustin, Putri Amelia Aisyiah, Jamilatul Akmala, Yulius Candra Al Hakim, Mochamad Muzayyid Andik, Achmad Ardiansyah, Fernando Aries Dwi Indriyanti, Aries Dwi Arsydi, Mohammad Dandi Auliyaurroshidin, Maulana Azharani, Gerin AZIZ Bagus, Bagus Laksono Yudo Atmojo Bashir, Alifia Octaviany Bayhaqi, Fachrul Bernika, Hilda Cahyaningrum, Avikatria Chlarasasti, Yefi Daniswara, Anak Agung Aryasatya Dewi Kumala Sari Dewi, Sherlyani Puspita Dzulfaqqor, Moh. Fatihul Farras Elwino, Elwino Alif Ramadhan Fadhila, Lizza Nur Faizatul Mukaromah 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 Ilham, Mochammad Ilham Study Wartana Iranti, Alda Maretina Istiqomah, Nurul - Kartikasari, Dinda Kirom, Mohammad Ulil Kumalasari, Nadya 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 Nisa, Khoirotun 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 Sari, Sindy Rosita Shihabudin, Ahmad Susanto, Deafitria Putri Ulumudin, Febri Nur Ustadha, Muchtarotun Novia Utomo, Ilham Wahyu Wicaksono, Satria Adi