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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmu Komputer dan Informasi Jurnal Sains dan Seni ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science CAUCHY: Jurnal Matematika Murni dan Aplikasi Gamatika Prosiding Seminar Matematika dan Pendidikan Matematik JURNAL SOSIAL HUMANIORA (JSH) Semesta Teknika Elkawnie Register: Jurnal Ilmiah Teknologi Sistem Informasi Science and Technology Indonesia Journal of Environment and Sustainability Syntax Literate: Jurnal Ilmiah Indonesia Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control BAREKENG: Jurnal Ilmu Matematika dan Terapan Limits: Journal of Mathematics and Its Applications International Journal of Computing Science and Applied Mathematics JAIM (Jurnal Abdi Masyarakat) Jurnal Teknologi Dan Sistem Informasi Bisnis Indonesian Journal of Electrical Engineering and Computer Science Majalah Ilmiah Matematika dan Statistika (MIMS) Airlangga Journal of Innovation Management Journal of Applied Data Sciences Journal of Research in Social Science and Humanities COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Indonesia Sosial Teknologi Sewagati Limits: Journal of Mathematics and Its Applications
Mohammad Isa Irawan
Departemen Matematika Institut Teknologi Sepuluh Nopember Surabaya
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PERANCANGAN STARTUP PLATFORM MANAJEMEN PELAPORAN SEKOLAH KEPADA ORANG TUA/WALI SISWA DENGAN PENDEKATAN DESIGN THINKING Rohwana, Ulir; Irawan, Mohammad Isa
Airlangga Journal of Innovation Management Vol. 5 No. 2 (2024): Airlangga Journal of Innovation Management
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ajim.v5i2.52742

Abstract

This research aimed to develop a startup for a school-to-parent reporting platform, inspired by the vast potential of Indonesia's education business market. By adopting a design thinking approach, this research developed suitable business models. The design thinking process involves five stages: empathize, define, ideate, prototype, and test. The empathize stage involved observations and interviews to understand user perspectives, namely school administrators and parents. In the define stage, user problems were formulated using Point of View (POV) techniques, followed by SWOT and competitor analyses to identify solutions and opportunities. Next, in the ideate stage, ideas were gathered through brainstorming sessions and structured into a Business Model Canvas. In the prototyping phase, UI/UX designs were visualized and business models were drafted. Finally, platform testing was conducted in a school to evaluate its suitability for user needs and obtain feedback before scaling up. The testing showed that the design thinking approach was well-received by users in designing the school reporting platform startup in terms of technological solutions and business models. This research contributes to designing a user-centric startup with viable business models, increasing market acceptance, and gaining substantial market share in Indonesia's education industry.
Understanding The Mechanism of GLUT4 Translocation Involving Non-Conserved Complexes from A Modeling and Simulation T2DM Perspective Kusumastuti, Ari; Irawan, Mohammad Isa; Fahim, Kistosil
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 1 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i1.29292

Abstract

Understanding the mechanism of Glucose Transporter 4 (GLUT4) translocation to the cell membrane is essential for describing daily glucose uptake. A normal mechanism maintains glucose homeostasis and reduces the occurrence of Type 2 Diabetes Mellitus (T2DM) and its complications. Kinetic reactions are crucial for revealing the interactions involving proteins, enzymes, and complexes within the system. We propose a system of ordinary differential equations (ODEs) to elucidate the underlying mechanism under the assumption of non-conservative complexes . The insulin signaling pathway, which includes the GLUT4 mechanism, serves as the basis for reconstructing the necessary kinetic reactions. Investigating the behaviour of the model through numerical simulations and dynamics within parameters and initial conditions from relevant researchs .
Inovasi Model Bisnis dan Pengukuran Tingkat Kesiapan Teknologi dalam Mengadopsi Omnichannel (Studi Kasus Informa) Maulana, Muhammad Agung Adi; Irawan, Mohammad Isa
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i11.11758

Abstract

Perkembangan teknologi dan transformasi dalam transaksi barang dan jasa telah meningkatkan persaingan industri retail furniture terutama di antara perusahaan dengan jenis produk yang serupa. Meski PT Home Center Indonesia (Informa) telah mengalami peningkatan jumlah anggota (member) yang signifikan pada tahun 2023, hal ini belum diimbangi dengan pencapaian penjualan online yang optimal. Kontribusi penjualan online masih rendah meskipun ada peningkatan dalam jumlah pelanggan. Situasi ini menunjukkan perlunya strategi yang lebih efektif dalam memanfaatkan potensi digital. Penelitian ini menganalisis tingkat kesiapan teknologi di Informa dalam menerapkan omnichannel menggunakan Business Model Canvas (BMC) dan Technology Acceptance Model (TAM). Metode penelitian menggunakan SEM-PLS dengan data primer dari kuesioner kepada operator IT dan konsumen Informa. Hasil penelitian menunjukkan bahwa kesiapan teknologi di Informa merupakan faktor kunci dalam transformasi bisnis ini. Studi ini menyimpulkan bahwa investasi Informa dalam infrastruktur digital dan penerimaan teknologi sangat penting untuk meningkatkan kehadiran omnichannel serta menyarankan strategi digital lebih lanjut untuk memaksimalkan jangkauan pasar dan keterlibatan pelanggan.
Hybrid AHP Topsis Method for Selection and the Four Disciplines of Execution (4DX) for Monitoring the Animal Disturbance Reduction Program (Case Study: PLN UP3 East Bali) Mahardika, Kadek Eri; Irawan, Mohammad Isa
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i4.58615

Abstract

PLN (Persero) East Bali Customer Service Implementation Unit is responsible for supplying electricity in Gianyar, Klungkung, Bangli, and Karangasem regencies. The high number of feeder disturbances, especially those caused by animals, significantly impacts the reliability and continuity of electricity supply, accounting for 115 incidents (37.33%) out of a total of 308 trips in the first semester of 2023. This study aims to determine the priority program for reducing animal-related disturbances using the hybrid Analytical Hierarchy Process (AHP) - Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and to monitor its implementation using The Four Disciplines of Execution (4DX). The Delphi method established four evaluation criteria: ease of implementation, material cost, effectiveness, and power outage (KWH lost). Four alternatives were evaluated: installing palm fiber barriers, animal shields, heat shrink tubes, and tree pruning. The results indicated that tree pruning was the priority program. Implementation was monitored during the first semester of 2024 using the 4DX method, which showed a significant reduction in animal-related disturbances, decreasing from 115 incidents in the first semester of 2023 to 55 incidents in the first semester of 2024, representing a 52.21% year-over-year reduction. The implications of this study demonstrate that the hybrid AHP-TOPSIS and 4DX approaches effectively determine priorities and monitor program execution, significantly improving electricity supply reliability.
Implementation of Design Thinking Method in Pediatric Specialist Clinic Service Innovation: Case Study of SPC Pediatric Clinic Ridwan, Ahmad; Irawan, Mohammad Isa
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 11 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i11.7065

Abstract

This research aims to evaluate the implementation of the Design Thinking method in service innovation at SPC Pediatric Clinic. This method is applied to improve service quality and efficiency through five stages: Empathize, Define, Ideate, Prototype, and Test. Data were collected through interviews, observation, documentation, and questionnaires, then analysed using the Miles and Huberman model. The results showed that innovations such as online registration, home care services, health education, service specialisation, and partnerships with schools successfully improved patient satisfaction. Technical, coordination, and adaptation constraints were also identified but were overcome with gradual improvements. The overall implementation of these innovations had a positive impact on patient comfort and trust.
On the Approximation Capabilities of Deep Neural Networks for Multivariate Time Series Modeling Jamhuri, Mohammad; Irawan, Mohammad Isa; Kusumastuti, Ari; Mondal, Kartick Chandra; Juhari, Juhari
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.32760

Abstract

Multivariate time series forecasting plays a crucial role in various domains, including finance, where accurate stock price prediction supports strategic decision-making. Traditional methods such as Autoregressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS), and Vector Autoregression (VAR) often fall short when dealing with complex, non-linear data—particularly those exhibiting long-term temporal dependencies. This study evaluates deep learning approaches, namely Multilayer Perceptron (MLP), Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM), using daily AAPL stock price data from January 2020 to November 2024. The results show that the MLP model with a 10-day time window achieves the best accuracy, yielding lower values in Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE) compared to CNN, LSTM, and VAR. The findings suggest that MLP is particularly effective in capturing complex patterns in multivariate time series forecasting.
Co-Authors AA. Masroeri Abduh Riski, Abduh Adrianus Bagas Tantyo Dananjaya Ahmad Ridwan Akhmad Arif Junaidi Alan Catur Nugraha Alexander Setiawan Alvida Mustika Rukmi Alvida Mustikarukmi Amira, Siti Azza Andreas Handojo Antonio Galileo Tando Ari Kusumastuti Arie Dipareza Syafei Arifah, Enny Durratul Auliya Rahmayani Baiq Findiarin Billyan Chyntia Kumalasari Puteri Danang Wahyu Wicaksono Daniel Happy Putra Darmaji Darmaji Darmawan, Didiet Edi Satriyanto Ekky Hidma Octia Rahmah Elly Matul Imah Elnora Oktaviyani Gultom Elsen Ronando Erna Apriliani Fahim, Kistosil Fendhy Ongko Giandi, Oxsy Ginardi, Raden Venantius Hari Hadi Prasetiya Haloho, Freddi Hartanto Setiawan Hendy Hendy Hendy Hozairi Imam Mukhlash Imam Mukhlash Ira Puspitasari Juhari Juhari, Juhari Ketut Buda Artana Khilmy, Akhmad Ku Khalif, Ku Muhammad Naim Mahardika, Kadek Eri Mahdiyah, Umi Mardlijah - Maulana, Muhammad Agung Adi Mey Lista Tauryawati Mohamad Muhtaromi Mohammad Hamim Zajuli Al Faroby Mohammad Iqbal Mohammad Jamhuri Mohd Aziz, Mohd Khairul Bazli Mondal, Kartick Chandra Muchamad Jati Nugroho Muhammad Ahnaf Amrullah Muhammad Athoillah, Muhammad Muhammad Fakhrur Rozi Muhammad Hajarul Aswad Muhammad, Noryanti Muhammad, Noryanti binti Mujiono, Edo Priyo Utomo Putro Ni Nyoman Tri Puspaningsih Nugraha, Arma Perwira NURUL HIDAYAT Nurul Hidayat Pratama, Qoria Yudi Putri, Endah R.M. Putri, Endah Rokhmati Merdika Putris , Nadhifa Afrinia Dwi Rasyadan Taufiq Probojati Resi Arumin Sani Rita Ambarwati Rita Ambarwati Sukmono Robin Wijaya, Robin Rohwana, Ulir Ronando, Elsen Rukmini, Meme Santoso Santoso Sepriadi, Robby Setiawan, Muhammad Nanda Setumin, Samsul Shahab, Muhammad Luthfi Siti Maghfiroh Soetrisno Soetrisno Sulastri Sulastri Titin J. Ambarwati Victory Tyas Pambudi Swindiarto YAN ADITYA PRADANA Yongky Ujianto Yuda Dian Harja Zulfa Afiq Fikriya