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All Journal Jurnal Kesehatan Masyarakat Jurnal Informatika dan Teknik Elektro Terapan JOIV : International Journal on Informatics Visualization Al-Mashlahah: Jurnal Hukum Islam dan Pranata Sosial Al Mi’yar: Jurnal Ilmiah Pembelajaran Bahasa Arab dan Kebahasaaraban Martabe : Jurnal Pengabdian Kepada Masyarakat IJID (International Journal on Informatics for Development) Ensiklopedia of Journal Jurnal Kajian Ekonomi dan Pembangunan Fikruna : Jurnal Ilmiah Kependidikan dan Kemasyarakatan Journal of Language, Literature, and Arts (JoLLA) Menara Pengabdian PUSKAPSI Law Review At-Tadzkir: Islamic Education Journal OMNICODE Journal (Omnicompetence Community Developement Journal) Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia Al Mu'azarah: Jurnal Pengadian kepada Masyarakat Maqashiduna: Jurnal Hukum Keluarga Islam Jurnal Sains Sistem Informasi Jurnal Ilmiah Kesehatan Sandi Husada Media Riset Ekonomi Pembangunan (MedREP) SIMAS JURNAL PENGABDIAN MASYARAKAT Warta Pusat Penelitian Kelapa Sawit
Muhammad Anshari, Muhammad
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Nursing Public Health Social Sciences Transportation Other

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Journal : IJID (International Journal on Informatics for Development)

 1 
CRM 2.0 within E-Health Systems: Towards Achieving Health Literacy & Customer Satisfaction Anshari, Muhammad; Almunawar, Mohammad Nabil; Low, Patrick Kim Cheng
IJID (International Journal on Informatics for Development) Vol 1, No 2 (2012): IJID December
Publisher : Universitas Islam Negeri Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2125.865 KB) | DOI: 10.14421/ijid.2012.01201

Abstract

Customer Relationship Management (CRM) within healthcare organization can be viewed as a strategy to attract new customers and retaining them throughout their entire lifetime of relationships. At the same time, the advancement of Web technology known as Web 2.0 plays a significant part in the CRM transition which drives social change that impacts all institutions including business and healthcare organizations. This new paradigm has been named as Social CRM or CRM 2.0 because it is based on Web 2.0. We conducted survey to examine the features of CRM 2.0 in healthcare scenario to the customer in Brunei Darussalam. We draw the conclusion that the CRM 2.0 in healthcare technologies has brought a possibility to extend the services of e-health by enabling patients, patients families, and community at large to participate more actively in the process of health education; it helps improve health literacy through empowerment, social networking process, and online health educator. This paper is based on our works presented at ICID 2011.
Price Forecasting of Chili Variant Commodities Using Radial Basis Function Neural Network Ramadhan, Ade Umar; Siregar, Maria Ulfah; Nafisah, Syifaun; Anshari, Muhammad; Ndungi, Rebeccah; Mulyawan, Rizki; Nurochman, Nurochman; Gunawan, Eko Hadi
IJID (International Journal on Informatics for Development) Vol. 12 No. 1 (2023): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.5129

Abstract

This study addresses the challenge of price instability in chili markets, which can lead to economic losses and inflation. To mitigate this issue, we propose a machine learning model using Radial Basis Function Neural Networks (RBFNN) to predict prices of various chili variants. Our quantitative approach involves a comprehensive data preparation process, including preprocessing and normalization of time series data collected from 2018 to 2022. The RBFNN model is constructed with K-Means clustering for optimal hidden layer configurations and evaluated using Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE). The results demonstrate promising accuracy, with MAPE error rates below 20% and relatively low RMSE values for large red chili (10.37%, 4484) and curly red chili (14.77%, 5590). Our findings indicate the potential for creating a reliable forecast model for predicting chili prices over 7 days, enabling better supply and demand management. The study's results also suggest that increased training data enhances forecasting accuracy. This research contributes to the development of effective price forecasting models, providing valuable insights for policymakers and stakeholders in the chili industry.
Price Forecasting of Chili Variant Commodities Using Radial Basis Function Neural Network Ramadhan, Ade Umar; Siregar, Maria Ulfah; Nafisah, Syifaun; Anshari, Muhammad; Ndungi, Rebeccah; Mulyawan, Rizki; Nurochman, Nurochman; Gunawan, Eko Hadi
IJID (International Journal on Informatics for Development) Vol. 12 No. 1 (2023): IJID June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.5129

Abstract

This study addresses the challenge of price instability in chili markets, which can lead to economic losses and inflation. To mitigate this issue, we propose a machine learning model using Radial Basis Function Neural Networks (RBFNN) to predict prices of various chili variants. Our quantitative approach involves a comprehensive data preparation process, including preprocessing and normalization of time series data collected from 2018 to 2022. The RBFNN model is constructed with K-Means clustering for optimal hidden layer configurations and evaluated using Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE). The results demonstrate promising accuracy, with MAPE error rates below 20% and relatively low RMSE values for large red chili (10.37%, 4484) and curly red chili (14.77%, 5590). Our findings indicate the potential for creating a reliable forecast model for predicting chili prices over 7 days, enabling better supply and demand management. The study's results also suggest that increased training data enhances forecasting accuracy. This research contributes to the development of effective price forecasting models, providing valuable insights for policymakers and stakeholders in the chili industry.
Co-Authors Abdi Hasibuan, Hasrul Achir Yani S. Hamid Adams, Hafizh Agustini, Shenti Amalia Aprianty, Rizqi Amalia Safitri Ardli, Ahmad Qolbi Arifin, Ahmad Fauzan Ariyani, Herda Aziza Fitriah, Aziza Chatarina Umbul Wahyuni Dewi Nurhanifah, Dewi Dhara Alim Cendekia Diana Aipipidely Diniati, Anna Dwi Kartikasari Dwi Oktaviana, Annisa Esti Yunitasari Fandiny, Yeny  Fathullah, M. Rizqi Fitri Syahrida, Anisa Fitri, Winda Gunawan, Eko Hadi Habibah, Aina Habibi Nst, M. Erlangga Hadi Prayitno, Hadi Haluruk, John Davison Heru Santoso Wahito Nugroho hidayatullah Al Islami Hilal Dzakwan, Muhammad Ibnu Adhan, Alvito Karya, Adzra Nadjria Khairunnisa, Monica Khairunnisa, Najla Lailan Azima, Siti Laisa, Alya Latifah Latifah Lutfi Arianto, Ach Mahalisa, Galih Mahridawati, Mahridawati Mardiani, Vivi Maria Ulfah Siregar Mitra Istiar Wardhana, Mitra Istiar Mohammad Nabil Almunawar, Mohammad Nabil Mubarak, Muhammad Rusydi Muhamad Arif Muhammad Erfan, Muhammad Muhammad Irfan Muhammad Muflih Muhammad Rizqi Mulyani, Risya Mulyawan, Rizki Nabila, Alsha Natalia, Novi Naufal Rismana, Muhammad Ndungi, Rebeccah Nelonda, Selli Nor Azizah, Nor Norsehan, Norsehan Noviyanti Fatimah, Firni Nur Pramudyas, Maulinda Nurfadila Meywanda, Utin Nurochman Nurochman, Nurochman Nurrahmah, Medina Nurrifanti Dewi, Saputri Octaviani, Dian Patrick Kim Cheng Low, Patrick Kim Cheng Putri Anugrahni, Ridha Putri, Novita Rahmadani Qistin Nasution, Fadlin Qorirah, Sahla Rahardyan, Seto Rahim, Mohamad Marzuqi Abdul Rahmani, Dienny Redha Rahmawati, Riris Trimaulida Ramadhan, Ade Umar Ristya Widi Endah Yani Riza, Andika Ahmad Satria, Doni Setiawan, Firman Setiawati Hariyono, Dyta Setyobudi, Agus Shofwatul ‘Uyun Siti Mutmainah Sumardi, Wardah Haki Haji Syahrina, Wanda Syifaun Nafisah Trisetyo, Febiola Anggun Ulfah, Pitria Utami, Mega Dewi Sri Yeniwati Yeniwati Yunita Satya Pratiwi Zahra, Fatimatul Zahra, Raudhatuz