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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Sains dan Teknologi E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah FIFO JURNAL ILMIAH GEOMATIKA JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Tekinfo | Scientific Journal of Industrial and Information Engineering Indonesian Journal of Artificial Intelligence and Data Mining JURNAL REKAYASA TEKNOLOGI INFORMASI ILKOM Jurnal Ilmiah J-SAKTI (Jurnal Sains Komputer dan Informatika) Building of Informatics, Technology and Science Jurnal Abdi Insani Jurnal Sistem Komputer dan Informatika (JSON) Madani : Indonesian Journal of Civil Society Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of System and Computer Engineering Bulletin of Computer Science Research GANESHA: Jurnal Pengabdian Masyarakat PROFICIO: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat (ABDIRA) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika, Komputer dan Bisnis (JIKOBIS) Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Journal of Applied Agricultural Science and Technology Malcom: Indonesian Journal of Machine Learning and Computer Science International Journal of Economics and Management Research Journal of Digital Law and Policy Bulletin of Informatics and Data Science INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) Science Information System and Technology West Science Nature and Technology Journal of Information System and Application Development International Journal of Economics and Management Research
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Journal : JURNAL SISTEM INFORMASI BISNIS

Komparasi Algoritme Random Forest dan XGBoosting dalam Klasifikasi Performa UMKM Moh Erkamim; Suswadi Suswadi; Muhammad Zidni Subarkah; Erni Widarti
Jurnal Sistem Informasi Bisnis Vol 13, No 2 (2023): Volume 13 Nomor 2 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss2pp127-134

Abstract

The Covid-19 pandemic has greatly impacted the whole world, especially Indonesia. Various policies have been implemented starting from the implementation of lockdowns, restrictions on large-scale economic activities, and bans from leaving the region. The economic sector is a sector that has been affected quite a lot, one of which is Micro, Small, and Medium Enterprises (MSMEs). As a result of the Covid-19 pandemic, many MSMEs have suffered losses, so many investors have started to consider investing in MSMEs. Therefore, MSMEs need to know their business performance through potential analysis and financial reports to deal with the economic crisis during a pandemic. This study compares two algorithms namely Random Forest and XGBoosting in classifying the good or bad performance of MSME financial conditions. The performance of the developed algorithm will be improved using hyperparameter tuning to obtain the best parameter combination for each algorithm. In this study, the Random Forest algorithm has an accuracy value of 0.944 and an f1-score of 0.944, while the XGBoosting algorithm has an accuracy value of 0.944 and an f1-score of 0.950. Based on the model with the best evaluation metric, six important features are obtained: the 2021 profit and loss variable, 2020 cash, 2020 liabilities, 2020 capital, 2021 sales, and 2021 liabilities.
Smart Village Tourism: Barriers and Facilitators in Adopting a Smart City Perspective Using SWOT Analysis Widarti, Erni; Erkamim, Moh.; Nugraha, Tegar Wijanarko Surya
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp280-291

Abstract

This disruptive era, tourist villages must adapt to technological advancements to innovate and drive the digitalization of these villages. Data processing, speed, and clarity of information can be utilized for the development of smart village tourism, where innovation and technology become the main drivers of transformation. The smart city concept can be adopted in the development of smart village tourism to enhance sustainability in tourist villages. A deep and ongoing study of the potential and local wisdom of rural communities is a key factor in the development of smart village tourism. This research serves as a preliminary study in the context of smart village tourism. The aim of this study is to formulate a development model for smart village tourism based on the identification and analysis of the barriers and facilitators in adopting the smart city perspective. The case studies involve two tourist villages in Boyolali Regency. The data analysis method uses SWOT analysis (Strengths, Weaknesses, Opportunities, Threats). SWOT analysis is useful for evaluating various aspects of tourist villages and identifying strategies that can be implemented for development and improvement. These findings represent an initial step towards formulating the development of smart village tourism by adopting a smart city perspective based on an ICT model, aligned with local potential and wisdom as key factors for the sustainability of tourist villages.
Co-Authors A. Bamban Yuuwono Adi Candra, Adi Adi Nugroho Susanto Putro Adi Nur Khofid Agung Prasetyo Aini, Delvi Nur Alfry Aristo Jansen Sinlae Ali Zainal Abidin Alaydrus Allesandro Umbu Balla Rundi Anindya Putri Tamara Argia Putri Ramadhani Arisantoso Arisantoso Aryani, Alina Dian Asih Lestari, Asih Batubara, Ana Uzla Cantikasari, Yuliana Danarti Karsono Daniarti, Yeni Destriana, Rachmat Dwi Susilo Utami Edhi Prayitno, Edhi Egidius Fkun Eri Mardiani Erlin Dolphina Erni Widarti Fadhilah, Muhamad Nur Farid Fitriyad Fatihah, Syalaysa Imani Fatkhul Imron Faustina Yuniastuti Faustina Yuniastuti Fitriyad, Farid Fitriyadi, Farid Fitriyadi, Farid Handayani, Nurdiana Hanifah Nurul Muthmainah Heriyani, Nofitri Hidayati , Diyah Nur I Gede Iwan Sudipa I Wayan Karang Utama Imam Setyo Nugroho Indriastiningsih, Erna Irfan AP Joko Sulistyono Judijanto, Loso Khofid, Adi Nur Khoirun Nisa Legito . legito, Legito Lilik Suhery, Lilik Loso Judijanto Maharani, Annissa Tiara Mohammad Imam Shalahudin Muhammad Muharrom Muhammad Rizal Fernandita Pamungkas Muhammad Rizal Fernandita Pamungkas Muhammad Syarif Hartawan Muhammad Zidni Subarkah Mulyadi Mulyadi Mustakim Mustakim Muthmainah, Hanifah Nurul Naylah Dzakiah Ngakan Kompiang Adi Suardana Ni Kadek Sri Devi Putri Swambini Ni Kadek Wintan Purnama Sari Ni Ketut Tri Srilaksmi Ni Komang Triana Andini Ni Made Ayu Nadia Putri Damayanti Nindi Permata Riau Nirma Ceisa Santi Nofri Yudi Arifin novi yona sidratul munti Nugraha, Tegar Wijanarko Surya Nurhayati Nurhayati Pamungkas, M Rizal Fernandita Pamungkas, Muh. Rizal F. Pamungkas, Muhammad Rizal Fernandita Rahmat Catur Haryadi Rahmat Catur Haryadi Ramadhani, Argia Putri Rifky Lana Rahardian Riyanto, Umbar Rundi, Allesandro U.B. Rundi, Allesandro Umbu Balla Said Thaufik Rizaldi Saifuddin Saifuddin Saifuddin Saifuddin Sandra Dewi Saraswati Sapto Priyadi Sepriano Sepriano Septarini, Ri Sabti Setyawati, Nisrina Yulia Shabrina Hapsari Shalahudin, Mohammad Imam Siti Nurhayati Sitti Rachmawati Soares, Teotino Gomes Subarkah, Muhammad Zidni Sulhatun Sulhatun Sulistiyawati, Anggun Supartini Supartini Suswadi Syahputra, Ridwan Angga Tami, Nanda Putri Tanniewa, Adam M Tino Feri Efendi Tonggiroh, Mursalim Tyas SOEMARAH KURNIA DEWI Tyas Soemarah Kurnia Dewi Utama, I Wayan Karang Vera Wati Wardani, Qurrotul Ain Putri Kusuma Wartono Wartono Wartono Wartono Wartono, W Wati, Vera Winalia Agwil Wiyono wiyono Yanuardi Yanuardi Yuri Rahmanto Zandra Dwanita Widodo Zandra Dwanita Widodo Zilrahmi, Zilrahmi