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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi JOURNAL OF SCIENCE AND APPLIED ENGINEERING Jurnal Teknologi Terpadu Industri Inovatif : Jurnal Teknik Industri Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Informatika dan Teknologi Komputer ( J-ICOM) ARMATUR : Artikel Teknik Mesin dan Manufaktur The Journal of Enhanced Studies in Informatics and Computer Applications E-Amal: Jurnal Pengabdian Kepada Masyarakat
Sentot Achmadi
Institut Teknologi Nasional Malang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences Other

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Prediction of Unemployment Rates in East Java Region Using Multiple Linear Regression Method Muhammad Farhan Alauddin; Sentot Achmadi; Joseph Dedy Irawan
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 2 No. 1 (2025): JESICA Vol. 2 No. 1 2025
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v2i1.20

Abstract

Unemployment is a major problem for developing countries, including Indonesia. The average unemployment rate in East Java is 5.202 percent from 2004 to 2023, according to data from Badan Pusat Statistik (BPS). These figures show that unemployment is still a major problem for local governments, despite changes. The purpose of this study is to create an application that can predict the number of unemployed in the future. The method used is multiple linear regression where this method was chosen because it can show how the year and labor force participation rate, which are two independent variables, correlate with the unemployment rate as the dependent variable. The data used comes from BPS and covers 19 years. This prediction model is integrated into a web-based platform to make the research results easier to access and use. This platform will display data and analysis results interactively, so that it can be used by local governments, academics, and other individuals looking for information about unemployment. The results of the study show that the regression model created is quite accurate. Based on the results of testing that has been carried out on the existing features, the system has displayed the appropriate output.
Analisis Pengembangan Lokasi Apartemen Menggunakan Analytic Hierarchy Process berbasis Sistem Informasi Geografis Dedy Kurnia Sunaryo; Endro Yuwono; Sentot Achmadi; Tiara DE; Geoghalvin Almeriq Audolfy Caecarma
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 6 No 1 (2025): Jurnal Informatika dan Teknologi Komputer ( J-ICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/j-icom.v6i1.8838

Abstract

East Java has Malang City as the second-largest city. Common problems that occur in big cities in Indonesia are overcrowding and increasingly limited land. The solution to this problem is to develop vertical housing types such as apartments and flats. The need for new apartment development as a response to high public demand, by creating an analytical hierarchy process and a system for apartment developers, will assist apartment developers in making decisions. With AHP, you can determine the suitability of the apartment construction location with supporting parameters, namely slope maps, road network accessibility maps, existing land use maps, spatial pattern maps, distance maps to public facilities, and water availability maps. The results of the analysis of the suitability of apartment development in the city of Malang using AHP and GIS are then studied for the suitability of land use against the RTRW so that the implementation and development of apartment development in the city of Malang are according to plan. So that decision-making can be relevant and make the city of Malang an ideal city.
Co-Authors Abbas Al Munyawi, Moch. Ibnu Abi, Roland Marvelous Abiyyu, Ivan Farhan Ade Putra Adi Putra, Bagus Adrian Rahma Chiesa, Diffa Agung Laksono, Rachmad Agung Panji Sasmito AHMAD FAISOL Alawiyah, Rosiedatun Ali Mahmudi Ali Mahmudi Ali Mashudi, Rafiu Ali Mokhtar Amerta Nalle, Merpati vortuna Andinusa Rahmandhika Andre Afni A F Angesti Fitri, Anggie Anggiana Nayang Gita Anjelina Tambunan, Silva Apuilino Iman Seno Aji, Farell Ariwibisono Ariwibisono, F. X. Ariwibisono, FX Atha Syandana, Muchammad Arkan Bening Abimanyu, Hyan Cahya Kusuma, Firdaus Dwi Deddy Rudhistiar Dedy Kurnia Sunaryo Dwi Saputra, Eri Eka Puji Lestari Endro Yuwono Erlangga Prasetya, Imam Everaldo, David Fahrudi Setiawan, Ahmad Fajar Akbar Fat al Ghozali, Mohamad Febriana Santi Wahyuni Febrianto, Andy Fikri, Rizal Firdanu, Rizha Firstiano, Ivo Geoghalvin Almeriq Audolfy Caecarma Ghaniyyu Muqsit, Diagy Ghozy, Ahmad Hani Zulfia Zahro Holifah, Musdholi Ilham, Mohammad Akbar Joseph Dedy Irawan Jufani, Muh. Nifky Kadek Dinda Oktavianty Karina Auliasari Khafidh Aulia, Muhammad Kurniawan, Andrian Lailiyah, Ismi Maharani, Luthfia Rizqi Mahudi, Ali Mala Olhang, Maria Mega Maulidi Molyono, Wildan Mira Orisa Missa, Dionisius Miswanto MUFIDAH, LAILATUL Muhammad Farhan Alauddin Mustika Mustika Nickola Mauregar, Gilbert Novika Maharani, Lola Nur Hidayanti, Rahmah Nurlaily Vendyansyah Nyoman Krismonda W Pradana Hartinningrum, Eka Pratama, Ricky Adytya Pratama, Sulton Ghousi Rahmadian Basuki, Demes Ramadhan, Naufalamim Renaldi Primaswara Prasetya Rizky, Arya Rodyah Wati, Fatimah Sahal, Muhammad Yazid Abu Sari, Karina Aulia Shalom Wirawan, Lucas Suliati Suliati Sumanto Sumanto Sumanto Sumanto Sumanto Suryo Adi Wibowo Syahrul Fikri I M Thomas Priyasmanu Tiara DE Wahyu Rifaldi, Khisan Ihza Weka Prakosa Adi, Nitis Wibisono, F.X Ari Widyanto Pratama, Dody Xaverius Ariwibisono, Franciscus Xaverius Ariwibisono, Fransiskus Yosep Agus Pranoto Zulfan Najib, Ahmad Zulfia Zahro’, Hani