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All Journal Techno.Com: Jurnal Teknologi Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat JMM (Jurnal Masyarakat Mandiri) Journal Information System Development JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Indonesian Journal of Electrical Engineering and Computer Science Madaniya JINAV: Journal of Information and Visualization Jurnal Teknologi Sistem Informasi Jurnal Multidisiplin Madani (MUDIMA) Jurnal Pengabdian Masyarakat Inspiration: Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika: Jurnal Pengembangan IT Prosiding Seminar Nasional Unimus J-CEKI KAMBOTI : Jurnal Sosial dan Humaniora JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Hennie Tuhuteru
Fakultas Ilmu Komputer, Universitas Kristen Indonesia Maluku
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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SAW Method in Decision Making for Scholarship Recipients Faculty of Computer Science Indonesian Christian University Maluku Leipary, Harfely; Tuhuteru, Hennie; Patty, Joanna C
Jurnal Multidisiplin Madani Vol. 4 No. 1 (2024): January, 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/mudima.v4i1.7673

Abstract

The process of selecting scholarship recipients in academic institutions necessitates a meticulous and unbiased approach to ensure the fair distribution of educational resources. This study employs the Simple Additive Weighting (SAW) method to enhance decision-making in the Faculty of Computer Science at the Indonesian Christian University, Maluku. The SAW method provides a structured framework for evaluating scholarship candidates based on multiple criteria, including academic performance, extracurricular activities, and financial need. Through criteria normalization, weight assignment, and score calculation, the SAW method facilitates an objective ranking of candidates, allowing for a transparent and systematic decision-making process. The research aims to improve the efficiency and fairness of scholarship allocation, contributing to the advancement of educational opportunities for deserving individuals within the Faculty of Computer Science
Comparative analysis of linear regression, random forest, and LightGBM for hepatitis disease prediction Tuhuteru, Hennie; Nivaan, Goldy Valendria; Rijoly, Marvelous Marvel; Tuhuteru, Joselina
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%.
OPTIMALISASI MANAJEMEN DAN PEMASARAN BERBASIS DIGITAL PADA KELOMPOK TIM PENGGERAK PEMBERDAYAAN DAN KESEJAHTERAAN KELUARGA Tuhuteru, Hennie; Nivaan, Goldy Valendria; Balik, Dessy; Pirsouw, Jelisya Windy Gloria; Hahijary, Lowry
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 1 (2025): Februari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i1.28753

Abstract

Abstrak: Sebagai produk lokal, “Sagu Bunga” memiliki potensi besar untuk meningkatkan kesejahteraan masyarakat setempat. Namun, diperlukan perbaikan dalam pengelolaan keuangan, kualitas kemasan, serta strategi pemasaran yang lebih efektif. Oleh karena itu, kegiatan ini bertujuan untuk mengoptimalkan usaha rintisan yang telah dilakukan melalui peningkatan pengetahuan dan keterampilan Mitra dalam bidang manajemen dan pemasaran. Metode pelaksanaan kegiatan ini berupa sosialisasi literasi pengelolaan keuangan dan strategi kemasan, serta pelatihan desain label produk dan pembuatan kemasan standing pouch, serta pelatihan penggunaan e-commerce yang dilakukan melalui tahap persiapan, pelaksanaan, evaluasi, serta keberlanjutan program. Kegiatan ini dilakukan terhadap Kelompok TP-PKK Negeri Oma, Maluku Tengah yang beranggotakan 26 orang. Evaluasi dilakukan melalui pre-test dan post-test untuk kegiatan sosialiasasi sejumlah 15 soal, serta 5 butir formulir checklist untuk masing-masing kegiatan pelatihan. Hasil yang dicapai meununjukkan adanya peningkatan pengetahuan Mitra terhadap pengelolaan keuangan dan strategi kemasan sebesar 85,3%, peningkatan keterampilan untuk pembuatan desain dan kemasan standing pouch sebesar 86%, serta pengelolaan e-commerce sebesar 95%.Abstract: As a local specialty, 'Sago Bunga' holds significant potential to enhance community welfare. However, improvements are necessary in financial management, packaging quality, and marketing strategies. Therefore, this activity aims to optimize the existing micro-enterprises by enhancing Partners' knowledge and skills in management and marketing. The implementation method of this activity is socialization of financial management literacy and packaging strategies, training in product label design, standing pouch packaging, and the use of e-commerce which is done through the stages of preparation, implementation, evaluation, and program sustainability. This activity was conducted for the 26-member TP-PKK Negeri Oma Group in Central Maluku. The assessment was done through pre-tests and post-tests consisting of 15 questions for the socialization activity, and 5-item checklists for each training activity. The results achieved demonstrated an 85.3% increase in Partners' knowledge of financial management and packaging strategies, a 86% increase in their skills in creating standing pouch designs and packaging, and an 95% improvement in e-commerce management skills.
Co-Authors Ade Iriani Alfian Reymon Makaruku Balik, Dessy Belfrit Victor Batlajery C Patty, Joanna Dessy G Palyama Dessy Gloria Palyama Devita Madiuw Etwiory, Ulan Ningsih Ferdinandus, Junioverrill Gavriel G Palyama, Dessy Golda Tomasila Goldy Valendria Nivaan H.T Soumokil, Marvienty Hahijary, Lowry Hentihu, Emma Khumairah Hervin Maitimu Herwawan, Joan Herly Janeman Sumah Joanna Cristy Patty Joselina Tuhuteru Laipeny Melianus Imasuly Laipeny Melianus Imasuly Lameky, Vernando Yanry Laturake, Marlisa Leipary, Harfely Leonardo Petra Refialy Manaha, Robert Manaha, Roberth Ricky Y Marthevienty Soumokil Marvelous M Rijoly Metiary, Desya Y Moh. Ramli Sukunawatan Nanuru, Freedom George Nivaan, Goldy Valendria Olyvia Ririmasse Palyama, Dessy Gloria Pattirane, Shyrel Gildion Patty, Joanna C Paul Rio Pelupessy Pether John Arlooy Pirsouw, Jelisya Windy Gloria Ratumanan, Tanwey Gerson Reynaldi Siwalette Reynaldi Siwalette Ricardo Freedom Nanuru Richard Frely Siahaya Rijoly, Marvelous Marvel Robert R Y Manaha Roberth Ricky Manaha Roberth Ricky Y Manaha Ruben Lumatalale Samusamu, Rizel Selsily, Wendel Selsily, Wendel Herman Siwalette, Reynaldi Sumah, Janeman SURYANI Tasijawa, Fandro Armando Tomasila, Golda Tuhuteru, Joselina Ulan Ningsih Etwiory V Nivaan, Goldy Valensya Yeslin Tomasoa Vanny Leutualy Wendel H Selsily Wendel Herman Selsily Yeris Almendo Iwane Yulis Garlora