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Journal : tech-e

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 Adani Putri, Shabrina Adi Wijono, Hani Adisty Nilasari, Risma Adiwar Adiwar Afriza Fernando, Lucky Ahmad Budiyono, Ahmad Ajwa Syabina Aulia Akbar, Azis Akramunnas, Bastul Wajhi Ali Mustofa Amin, M. Syahruddin Anam, M Syaeful Ani Widayati Anita Anggraini Ara Hidayat, Ara Ardyansah, Agung Mifta Arief Nurrahman Austin, Trecy Basri, Amat Bayu Prasetio Cakrawerdaya, Ervina Salma Candra Dewi, Listiyana Chintia Hestiriniah, Deby Deny Haryadi Dewi Marini Umi Atmaja Dianasari, Dewi Dinda Oktarina, Dinda Donna Boedi Maritasari Dwi Safitri, Dwi Dwi Utami, Erwinda Dyah Ayu Heni Lestari, Febyana Edy Suryadi Amin Ega Nopiyanti Andriyansyah Eka Ary Wibawa Eni Kamal Eri Barlian Fadillah, Dini Fardin Hasibuan Fikri Fikri Fitri Ramdhani Harahap Habibuddin Hadiatul Rodiyah Haditsa Qur'ani Nurhakim Harsyta, Andini Heldi Heldi, Heldi Hendrik, Maulina Hidayatulloh, Arif Hopipatussolihah, Hopipatussolihah Iis Arifudin Imron Ali Mahmudi, Mukh. Indana, Nurul Indang Dewata Inne Miftah Dewi Iswahyudi, M. Jonathan Gunawan Khodiriyah, Putri Khoirudin Sovwan, Akhmad Kusuma Wardani, Sabila M Choirul Ibad M. Choirul Ibad Mahali, Jalal Makrina Tindangen Maulana Merinda Noorma Novida Siregar‬ Meuraksa, Irawati Meylani Putri Muh. Taufiq Muhamad Choirul Ibad Muhammad Habibi Muhammad Irfan Muhammad Yahya Muhdi Mukhlish Hidayat Muliana, Wita Mutiara Andayani Komara Nadiatul Soleha, Ria Nindawi Novela Eka Candra Dewi Novelalahu, Mochi Nur Fitrianingsih Nurhidayati Luthfiralda Nuri Nuri Nurlaeli Rachmawati Koerniawan, Rina Nurul Qomaria, Elysa Pangestu, Aldi Parsyillah Minallah, Ninda Parsyllah Minallah, Ninda Pratama, Diki Pristiwantiyasih, Pristiwantiyasih Priyadi Priyadi Putrie Dimala, Cempaka Rahmat Darmawan Ramadan, Regi Randi Syafutra Rimbawan Oprasto, Raditya Ristiyani, Novi Rizal Anshorudin Rizqi Ilyasa Aghni Rohili, Ilyas Rosifah, Djumroh Ruswandi, Irwan Sandi Perdani, Agung Saparina, Saparina Saputra, Armadi Sari Narulita Sartini Sena, Boni Seruni Setialana, Pradana Shamudra, Febby Shinta Dewi Lestari Tulus Sihombing, Citra Siregar, Linda Mora Siti Aminah Sofyan Sukriyah Sunu Widagdo, Cahyo Supendi, Pepen Sutinah Sutinah Syafii, Muhamad Tanfidz Alishlah, Tanfidz tedi, tedi Ulya, Manzilatul Umar, Iswandi Widagdo, Trijaya Windi Zamrudy Wiwin Agus Salim Yakub Yolandaru Septiana, Yolandaru Yuflinawati Away Yunia Dwie Nurchayanie Yuyu Krisdiyansah Zuldani, Irwan