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All Journal Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa
Melinda Azizah
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Earth & Planetary Sciences Education Health Professions Languange, Linguistic, Communication & Media Mathematics Social Sciences

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Pengembangan Sistem Kuis Alogoritma Pemprograman Berbasis Web Melinda Azizah; Yahfizham Yahfizham
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 1 No. 5 (2023): Oktober : Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v1i5.338

Abstract

Online learning offers several advantages, such as lower costs, flexible time, and each participant can adapt to their own learning abilities and developments. With this algorithm, the order of the questions is always different between each participant and when the participant repeats the test. Participants who pass the exam can then take the material to a new level. The purpose of this paper is to design and develop a web-based programming algorithm quiz system and determine the validity of the web-based programming algorithm quiz system. From student observations, facts were found that showed there were obstacles in understanding computer programming problems. Information is obtained by distributing questionnaires to students. From this information, information is obtained that algorithms are the most important programming material. The research results show that the functionality of the media expert assessment programming algorithm quiz system obtained a score of 85.71% for data use, 85% for design, and 85% for functionality. The average data collection was 85.29%. From the research results it can be concluded that the programming algorithm quiz system developed is suitable for use in small corrections.
Studi Literatur tentang Penerapan Program Linear Bilangan Bulat dalam Optimasi Penjadwalan dan Alokasi Sumber Daya Melinda Azizah; Sabrina Aisha Putri Lubis; Muhammad Murdani; Inna Muthmainnah Dalimuntha; Siti Salamah Br. Ginting
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 4 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v3i4.626

Abstract

Scheduling and resource allocation are two crucial aspects in various fields, including manufacturing, transportation, education, and information systems. The complexity of decision making is often increased by integer constraints, such as the number of workers, machines, or indivisible working hours. Therefore, the Integer Linear Programming (ILP) approach is one of the methods widely used in solving optimization problems involving discrete variables. This literature study aims to review previous studies that apply ILP in the context of scheduling and resource allocation optimization. This study reviews model approaches, solution techniques such as the branch and bound method and cutting plane, and their implementation in various real cases. The results of the study show that ILP is able to provide optimal or near-optimal solutions in scenarios with complex constraints and integer variables. This study also identifies challenges in implementing ILP models, such as the scale of the problem and high computational requirements, as well as opportunities for further research that includes hybridizing the ILP method with a heuristic approach. Thus, ILP remains a very relevant and effective tool in supporting optimization-based decision making in various sectors.
Co-Authors Inna Muthmainnah Dalimuntha Muhammad Murdani Sabrina Aisha Putri Lubis Siti Salamah Br Ginting yahfizham yahfizham