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All Journal Jurnal Manajemen dan Agribisnis Bulletin of Electrical Engineering and Informatics SISFO Applied Technology and Computing Science Journal Community Development Journal
Rasyidi, Mohammad Arif
Universitas Internasional Semen Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences Other

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SHOPVIS: VISUALISASI INTERAKTIF PERSEBARAN TOKO DARING DI INDONESIA MENGGUNAKAN CROWDSOURCED DATA Handayani, Ruktin; Rasyidi, Mohammad Arif
SISFO Vol 8 No 2 (2019)
Publisher : Department of Information Systems, Institut Teknologi Sepuluh Nopember

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Abstract

The current statistics on electronic-commerce distribution in Indonesia mostly only reveal the number and value of transactions, but not the distribution, both in terms of the quantity of online stores and the types of goods sold. This study aims to develop a visualization of the distribution of online stores in Indonesia. The data used in this study is crowdsourced data taken from one of online marketplaces in Indonesia. The data is analyzed and processed to produce statistics on the distribution of online stores by region and type of goods. These statistics are displayed in map visualization for ease of use. This visualization can be utilized by the government or stakeholders to monitor the development of online stores in each region and make strategic decisions. The visualization can be used further to obtain statistics and the distribution of the types of goods sold online, comparing them to ordinary trade and typical products from each region. Underdeveloped regions can then be motivated to develop their electronic commerce to their full potential. This research is also expected to be used as a reference for even distribution of electronic commerce in Indonesia.
PENGEMBANGAN SISTEM INFORMASI UNTUK UPT PUSKESMAS DI LINGKUNGAN DINAS KESEHATAN KABUPATEN PASURUAN DAN MALANG Rasyidi, Mohammad Arif; Hidayah, Lailatul; Andayani, Puji
JURNAL PENGEMBANGAN KOMUNITAS Vol 2 No 2 (2018): December
Publisher : JURNAL PENGEMBANGAN KOMUNITAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (188.991 KB)

Abstract

Pusat Kesehatan Masyarakat (Puskesmas) adalah salah satu sarana pelayanan kesehatan yang penting di Indonesia. Selain dituntut untuk memberikan pelayanan yang prima bagi masyarakat, Puskesmas juga diwajibkan untuk mengirimkan laporan bulanan pada dinas kesehatan terkait. Namun, proses pelaporan ini masih dilakukan secara manual oleh puskesmas mitra karena sistem informasi yang ada belum dapat membantu secara optimal. Selain melakukan pencatatan data dengan sistem informasi yang ada sebelumnya, Puskesmas juga melakukan pencatatan secara manual yang memakan waktu serta beresiko salah dalam proses pengolahannya. Dalam program ini, dikembangkan sistem informasi untuk membantu proses pelaporan untuk Puskesmas mitra. Sistem informasi yang dihasilkan telah dapat digunakan dan mampu membantu Puskesmas mitra dalam melakukan pelaporan bulanan ke dinas kesehatan terkait.
Pengembangan Sistem Informasi Terintegrasi Untuk Upt Puskesmas Rasyidi, Mohammad Arif; Hidayah, Lailatul; Andayani, Puji; Ngatini, Ngatini
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 2 No 1 (2019): June
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v2i1.775

Abstract

Pelayanan pada puskesmas sering dinilai kurang cepat, ditambah lagi dengan jumlah pasien yang banyak membuat antrian menjadi tidak dapat dihindari.  Proses administrasi yang masih manual ditambah dengan antrian membuat waktu pelayanan menjadi panjang.  Data rekam medis yang masih disimpan secara konvensional dalam ratusan map di lemari bertingkat membuat pencarian data pasien menjadi lambat dan besar kemungkinan kurang akurat. Berdasarkan permasalahan yang ada, maka kami tergerak untuk membangun sebuah sistem informasi untuk menyimpan data rekam medik pasien puskesmas. Semua data rekam medik puskesmas yang sebelumnya disimpan secara manual akan dipindahkan ke sistem informasi yang dibangun yang juga mencakup proses otomasi alur pendaftaran ke poli yang diperlukan. Berbeda dengan sistem yang telah ada, sistem rekam medik ini juga dilengkapi dengan kartu pintar pribadi untuk masing-masing pasien dan terintegrasi dengan data pasien dari Badan Penyelenggaran Jaminan Sosial (BPJS) Kesehatan. Petugas cukup memindai kartu ini untuk mengakses data rekam medik pasien. Sistem ini dibangun dengan menggunakan pendekatan Waterfall sebagai metode pengembangan perangkat lunaknya. Dengan adanya sistem informasi rekam medis ini data pasien dapat disimpan dengan lebih efisien dan terhindar dari duplikasi data. Pasien yang datang ke puskesmas akan dapat terlayani dengan lebih cepat. Catatan riwayat kesehatannya juga dapat diketahui secara lengkap sehingga diagnosa dokter bisa menjadi lebih akurat. Aplikasi rekam medis terintegrasi ini juga memudahkan proses pencarian data.sehingga dapat meningkatkan kinerja pegawai puskesmas dalam melakukan pengolahan data rekam medis, dan juga obat-obatan. Selain itu resiko rusak, hilang, dan duplikasi data rekam medik pasien juga akan dapat diminimalisir. Aplikasi rekam terintegrasi ini membuat laporan yang ditujukan kepada pimpinan menjadi lebih akurat.
Performance comparison of state-of-the-art deep learning model architectures in Indonesian food image classification Rasyidi, Mohammad Arif; Mardhiyyah, Yunita Siti; Nasution, Zuraidah; Wijaya, Christofora Hanny
Bulletin of Electrical Engineering and Informatics Vol 13, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i5.7996

Abstract

Food image recognition is essential for developing an elderly-friendly daily food recording application in Indonesia. However, existing datasets and models are limited and do not cover the diversity and complexity of Indonesian food. In this paper, we present a new dataset of 24,427 images of 160 types of Indonesian food with higher variety and quality than previous datasets. We also train and compare the performance of 67 models based on 16 state-of-the-art deep learning architectures on this dataset. We find that efficientnet_v2_l provides the best accuracy of 85.44%, followed by other models such as convnext_large and swin_s. We also discuss the trade-off between model size and performance, as well as the challenges and limitations of food image classification. Our dataset and models can serve as a basis for developing a user-friendly and accurate food recording application for the elderly population in Indonesia.
Factors Affecting Crowdfunding Investor Number in Agricultural Projects: The Dummy Regression Model Mardhiyyah, Yunita Siti; Rasyidi, Mohammad Arif; Hidayah, Lailatul
Jurnal Manajemen & Agribisnis Vol. 17 No. 1 (2020): JMA Vol. 17 No. 1, March 2020
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.727 KB) | DOI: 10.17358/jma.17.1.14

Abstract

As an important sector in the Indonesian economy, the low capital problems in agriculture should be solved. Crowdfunding is one of the solutions gaining modal from society. This agricultural investment could be an attractive personal asset, too. But, no information yet about the complete characteristics of agricultural projects that fetching the people's participation to invest. Hence, the aim of this research is to find out the factors that influence people's participation in agricultural business investment with crowdfunding schemes. The quantitative data collected from 468 agricultural projects held by agricultural business startup PT. XYZ was analyzed. The six characteristics of the project are role as independents factors. They were project types (loans and profit sharing), project fields (agriculture, livestock, and fisheries), project risk (low, moderate, and high), project duration, the amount of capital needed and profit assumption. All the factors have been analyzed by a multiple regression model to estimate the number of investors. The results showed that the number of crowdfunding agriculture-based projects investor can be modeled by dummy regression. The longer project duration will decrease the number of investors by 0.577 people. The higher risk of the project will lower the number of investors. Based on the projects field, the most interesting projects are the livestock project, followed by agriculture and the last is the fisheries project. Overall, the project period, project risk and project field are the factors that influence people's participation in agricultural business investment with crowdfunding schemes. In the future, crowdfunding livestock projects with a short implementation period (around 3 months), and low risk can be sought so that more people participate in becoming investors. Keywords: crowdfunding, agriculture project, agricultural investment, multiple regression model, dummy regression
Co-Authors Andayani, Puji C Hanny Wijaya Lailatul Hidayah Mardhiyyah, Yunita Siti Nasution, Zuraidah Ngatini Ruktin Handayani