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Contact Name
Rusliadi
Contact Email
garuda@apji.org
Phone
+6285727710290
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Teguh@apji.org
Editorial Address
Jln. Perum Cluster G11 Nomor 17 Jl. Plamongan Indah, Pedurungan, Semarang, Provinsi Jawa Tengah, 50195
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Kota semarang,
Jawa tengah
INDONESIA
Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa
ISSN : 30326230     EISSN : 30465427     DOI : 10.62383
Core Subject : Science, Education,
Bidang kajian dalam jurnal ini termasuk sub rumpun Ilmu Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa. Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Articles 174 Documents
Literature Review : Strategi Inovatif dalam Pembelajaran IPA SMP untuk Peningkatan Hasil Belajar Angelina Dina Lestari; Ernita Vika Aulia; Muhamad Arif Mahdiannur
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 6 (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.v3i6.830

Abstract

Low science learning outcomes at the junior high school level are a major problem caused by the dominance of conventional, teacher-centered teaching methods. The purpose of this study is to examine various innovative learning strategies, how effective they are, and their impact on student learning outcomes. The literature review method was used to review national and international articles published between 2020 and 2025 that discuss the application of innovation-based learning strategies in science. The strategy patterns, implementation effectiveness, and their impact on student learning outcomes were analysed using content analysis techniques. The research findings indicate that strategies such as problem-based learning (PBL), project-based learning (PjBL), discovery learning, environmental-based learning, and cooperative learning using the Think-Pair-Share (TPS) method are effective in increasing students' motivation and activity, as well as their learning outcomes in the cognitive, affective, and psychomotor domains. Generally speaking, the strategies are all student-centered. This is demonstrated by the constructivist approach, which emphasises contextual and collaborative learning. The results of this study indicate that implementing a creative learning approach can be an effective way to improve the quality of science learning and student learning outcomes in junior high school.
Using the Gamma Regression Model in Diagnosing Neonatal Jaundice among Newborns in Diyala Province Gheada Ibrahim Sheab; Lubna Jaafar Hussein Ibrahim; Nawal Muhammad Yaqoub Khalil; Sura Anwar Jameel
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 6 (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.v3i6.780

Abstract

This paper applies the Gamma Regression Model to determine the probability of newborns in the Diyala Province developing neonatal jaundice, or hyperbilirubinemia. This disease is prevalent, and it may be severe due to the large amount of unconjugated bilirubin in the blood. The aim of the study was to test the relationship between the levels of bilirubin and a set of independent variables, including the weight of birth, gestational age, and the proportion of red blood cells (PVC). 67 worth of data regarding neonatal cases was collected, and the outcome was that the model fitted well. The findings further indicated that whereas the influence of PVC was significant and positive on the bilirubin level, lower gestational age and less weight at birth had significant negative influence. As the results of the study indicate, the Gamma Regression Model is an effective tool to assess medical data and predict critical scenarios, which assists a clinician with the timely and accurate decision-making.
Analisis Strategi Optimal Persaingan Platform E-Commerce dengan Menggunakan Game Theory Ramdani Ramdani; Irvana Arofah
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 6 (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.v3i6.841

Abstract

The development of information technology in the era of globalization continues to accelerate. This has brought significant changes in various fields, one of which is online business, namely e-commerce. This study aims to analyze competition and provide optimal strategies for Shopee and Tokopedia in addressing their dependence on subsidies and large-scale discounts, so that both platforms can remain competitive effectively without experiencing a decline in profit margins. The research method used is a quantitative approach with a survey research method. The data used is primary data analyzed using Game Theory with Pure Strategy, Mixed Strategy, and Linear Programming. The results show that Shopee obtained optimal strategies for Price (proportion 0.3568) and Product Completeness (proportion 0.6427). Meanwhile, Tokopedia obtained optimal strategies for Promotion (proportion 0.3568) and Product Completeness (proportion 0.6427). The implication of this study is that companies can use the optimal strategies obtained to overcome their dependence on subsidies and large-scale discounts, which result in declining profit margins for both platforms.
Perbandingan Efisiensi Panci Bahan Aluminium dan Besi untuk Memanaskan Air Ni Nyoman Juniantari Mediasih Landuh; Gusti Ayu Gita Sarawati; Ni Made Lidya Suari; Amelia Sihombing; Eirenne Pridari Sinsya Dewi
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 6 (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.v3i6.853

Abstract

This study aims to compare the thermal efficiency of two aluminum and iron-based pans in the water heating process. This research method uses a mixed approach that includes direct observation (qualitative) and quantitative analysis based on changes in water temperature after heating at two volume variations, namely 0.25 L and 0.5 L. Heating was carried out with two time differences, the total of each experiment was four experiments, with two experiments for five minutes and also two experiments for ten minutes. The results showed that iron pans produced heat of 66,150 J at a volume of 0.25 L and 151,200 J at a volume of 0.5 L. Meanwhile, an aluminum pan could produce heat of 53,550 J at a volume of 0.25 L and 67,200 J at a volume of 0.5 L. The difference in heat value was influenced by the thermal conductivity and physical characteristics of each material. This study provides an understanding of the thermal performance of both pot materials and can be considered in the selection of efficient cooking utensils in the household environment.