Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science BAKTI : Jurnal Pengabdian Kepada Masyarakat Journal of Business Application
Joselina Tuhuteru
Universitas Kristen Indonesia Maluku
Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Literasi Keuangan dalam Menumbuhkan Jiwa Keirausahaan Generasi Muda Gereja Joselina Tuhuteru; Robby D. Lakatua
Bakti : Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2024): Bakti: Jurnal Pengabdian Kepada Masyarakat
Publisher : Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah XII Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51135/baktivol4iss1pp14-21

Abstract

  Salah satu hasil bumi yang paling dominan di Jemaat GPM Hatumete adalah Ubi Talas Sejauh ini Anggota Jemaat GPM Hatumete hanya menjual Ubi Talas dan hasil bumi lainnya langsung ke pasar tanpa diolah terlebih dahulu guna memberikan nilai tambah secara ekonomis. Selain itu, berdasarkan observasi dan wawancara dengan beberapa kelompok mitra juga terlihat bahwa minat berwirausaha di Desa Hatumete masih rendah. Hal ini terlihat dari kurangmya UMKM yang ada di Desa Hatumete. Kesulitan finansial dapat teratasi apabila generasi milenial mendapatkan edukasi yang baik tentang literasi keuangan. Untuk itulah edukasi dalam meningkatkan pemahaman milenial tentang keuangan perlu untuk dilakukan Berdasarkan uraian diatas maka yang menjadi mitra sasaran dalam PkM ini adalah kelompok Angkatan Muda GPM Ranting Gihon, Jemaat GPM Hatumete. Solusi yang ditawarkan untuk menyelesaikan permasalahan mitra diatas yaitu: Sosialisasi dan Pelatihan Pengelolaan Keuangan, Kewirausahaan dan praktik pembuatan keripik keladi. Kegiatan dilaksanakan selama dua hari dengan metode ceramah dan coaching clinic. Tahapan pelaksanaan terdiri dari tahap persiapan, tahap pelaksanaan dan tahap evaluasi. Hasil kegiatan menunjukan terjadinya peningkatan pengetahuan mitra tentang literasi keuangan dan kewirausaan
Comparative analysis of linear regression, random forest, and LightGBM for hepatitis disease prediction Hennie Tuhuteru; Goldy Valendria Nivaan; Marvelous Marvel Rijoly; Joselina Tuhuteru
Indonesian Journal of Electrical Engineering and Computer Science Vol 41, No 1: January 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v41.i1.pp430-438

Abstract

In bioinformatics research, computational pattern-analysis techniques are frequently employed to assist in disease prediction and diagnostic modeling, including applications for hepatitis prognosis. Hepatitis is a type of serious disease with various types that have the potential to threaten the life of the sufferer without showing significant symptoms and signs, so many sufferers do not realize that they are affected by the disease. Various methods are used to predict diseases in the hope of providing the best results from the learning model used. The objective of this study is to implement linear regression, random forest, and light gradient boosting machine (LightGBM) to estimate mortality risk among hepatitis patients. In addition, a performance comparison of the results of hepatitis disease prediction using the three algorithms was also carried out to find out which model gave the most accurate and optimal results. The results of this study show that the application of learning models from the linear regression, random forest and Light-GBM algorithms has been successfully carried out to predict the survival status of patients with hepatitis. The findings reveal that random forest achieved the highest predictive performance with an accuracy of 84%, followed by LightGBM at 77% and linear regression at 32%.
Altman Z-Score dan Grover G-Score Dalam Analisis Kebangkrutan PT. Sepatu Bata Tbk Periode Tahun 2014 - 2020 Joselina Tuhuteru
Journal of Business Application Vol. 1 No. 1 (2022): Journal of Business Application
Publisher : Univiversitas Dr. Djar Wattiheluw

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55098/jba.v1.i1.p19-26

Abstract

During the COVID-19 pandemic in Indonesia, PT. Sepatu Bata Tbk recorded a net loss in 2020 of IDR 177,761,030,000 down 858% from the previous year. The company’s financial statements reflect the company’s performance. If there is a continuous decline in profits, it is possible that the company will go bankrupt. The purpose of this study was to predict the risk of corporate bankruptcy at PT. Sepatu Bata, Tbk so that companies can anticipate, prevent and reduce the risk of bankruptcy. This study uses the Altman Z-Score and Grover G-Score methods as a company bankruptcy tool analysis with indicators for the company’s financial statements for the period of 2014 to 2020. Based on the results of the analysis using the Altman and Grover Methods, in 2020 PT. Sepatu Bata Tbk is estimated to go bankrupt with a Z-Score 0f 0,000 < 1,080 and a G-Score of -0,669 ≤ -0,02
Co-Authors Goldy Valendria Nivaan Hennie Tuhuteru Marvelous Marvel Rijoly Olyvia Ririmasse Robby Djefry Lakatua Ruben Lumatalale