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All Journal Dinamika Pendidikan Kontinu: Jurnal Penelitian Didaktik Matematika Jurnal Pendidikan Ilmu Sosial Tech-E JURNAL PENDIDIKAN TAMBUSAI SAP (Susunan Artikel Pendidikan) Dedikasi: Jurnal Pengabdian Masyarakat Bada'a: Jurnal Ilmiah Pendidikan Dasar Rayah Al Islam : Jurnal Ilmu Islam SIGMA TEKNIKA Bubungan Tinggi: Jurnal Pengabdian Masyarakat Jurnal Psikologi Malahayati Tax Literacy and Leadership Agility: Indigenous Peoples Awareness in Paying Taxes Journal of Economics and Business UBS Devotion: Journal of Research and Community Service Mejuajua Journal of Informatics and Communication Technology (JICT) Jurnal Akuntansi AKUNESA Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri JURNAL MUARA PENDIDIKAN Jurnal Desain dan Analisis Teknologi Journal of Pharmaceutical and Sciences. AMMA : Jurnal Pengabdian Masyarakat An Nafah: Jurnal Pengabdian Masyarakat Prosiding Seminar Nasional PPG Universitas Mulawarman Journal of Informatics and Communication Technology (JICT) Analisa: Jurnal Manajemen dan Akuntansi ILJ: Islamic Learning Journal Jurnal Accounting Unipa
Arif Rahman Hakim
Universitas Negeri Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Identifikasi Kebangkrutan Perusahaan Menggunakan Algoritma Regresi Linear Berganda Haryadi, Deny; Rahman Hakim, Arif; Marini Umi Atmaja, Dewi; Basri, Amat; Adisty Nilasari, Risma
Tech-E Vol. 6 No. 2 (2023): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

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Abstract

Corporate bankruptcy can hurt the company and affect the state of the economy. Therefore, many interested parties want to know the business situation related to the company. These parties include creditors, auditors, shareholders, and management itself who have an interest in knowing the state of the company in the context of bankruptcy. The past financial statements of a company can be used to predict future financial conditions using report analysis techniques. In the risk assessment process, expert knowledge is still seen as an important task, because expert predictions are subjective. This study aims to predict the bankruptcy of the company using influencing factors such as the level of research and development costs, the growth rate of total assets, and the current asset turnover rate. The method used in this research is the prediction method using the Linear Regression Algorithm. Based on the test results show that the variables or attributes used in this study have a significant effect, as evidenced by using a linear regression algorithm to be able to produce a Root Mean Squared Error value: 0.162 +/- 0.000.
Implementation of Random Forest Algorithm on Palm Oil Price Data Rahman Hakim, Arif; Atmaja, Dewi Marini Umi; Basri, Amat; Syafii, Muhamad
Tech-E Vol. 6 No. 2 (2023): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v6i2.1757

Abstract

One of the potential commodities that are widely cultivated in Indonesia is palm oil, and palm oil or commonly referred to as palm oil is one of the processed products of palm oil which generates the most important foreign exchange for Indonesia. Data mining is a process that utilizes mathematical techniques, statistics, artificial intelligence, and machine learning techniques to extract and identify useful information and related knowledge from large databases [3], including palm oil price data. Random Forest is one of the methods in the decision tree. A decision tree is a flowchart shaped like a tree with a root node that is used to collect data that is used to solve problems and make decisions. In this study, a random forest algorithm was used to classify palm oil price data from 2014 to 2019. The classification method used the random forest algorithm on palm oil data using the Mtry parameter of 1 and the Ntree parameter of 500 resulting in an accuracy percentage of 100%. The most influential variable (importance variable) in the classification model using the resulting random forest algorithm is the palm oil variable.
Co-Authors Adi Wijono, Hani Adisty Nilasari, Risma Ahmad Budiyono, Ahmad Akbar, Azis AKHMAD Akramunnas, Bastul Wajhi Ali Mustofa Amin, M. Syahruddin Anam, M Syaeful Ani Widayati Anita Anggraini Anshorudin, Rizal Ara Hidayat, Ara Ardyansah, Agung Mifta Arif Hidayad Atmaja, Dewi Marini Umi Austin, Trecy Basri, Amat Chintia Hestiriniah, Deby Deny Haryadi Dianasari, Dewi Dinda Oktarina, Dinda Donna Boedi Maritasari Dwi Safitri, Dwi Dwi Utami, Erwinda Dyah Ayu Heni Lestari, Febyana Eka Ary Wibawa Eni Kamal Eri Barlian Fadillah, Dini Fardin Hasibuan Haditsa Qur'ani Nurhakim Hasra Heldi Heldi, Heldi Hidayatulloh, Arif Hopipatussolihah, Hopipatussolihah Imron Ali Mahmudi, Mukh. Indana, Nurul Indang Dewata Inne Miftah Dewi Iswahyudi, M. Jonathan Gunawan Khodiriyah, Putri Khoirudin Sovwan, Akhmad Kusuma Wardani, Sabila Makrina Tindangen Marini Umi Atmaja, Dewi Merinda Noorma Novida Siregar‬ Meuraksa, Irawati Muhammad Irfan Muhammad Yahya Muhdi Muslim Muslim Nargis, Desi Nargis Nurhasanah Nuri Nuri Nurlaeli Rachmawati Koerniawan, Rina Nurul Qomaria, Elysa Pangestu, Aldi Pitriyani, Agustina Prasada, Dodi Pratama, Diki Pristiwantiyasih, Pristiwantiyasih Putrie Dimala, Cempaka Rahmat Darmawan Rimbawan Oprasto, Raditya Rizqi Ilyasa Aghni Rohili, Ilyas Rosifah, Djumroh Ruswandi, Irwan Sandi Perdani, Agung Sari Narulita Sena, Boni Setialana, Pradana Shamudra, Febby Sihombing, Citra Siregar, Linda Mora Subari Supendi, Pepen Susilowati , Eni Sutinah Sutinah Syafii, Muhamad Syarifudin Syarifudin Tanfidz Alishlah, Tanfidz Umar, Iswandi Widagdo, Trijaya Yakub Yolandaru Septiana, Yolandaru Zuldani, Irwan