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MASALIQ: Jurnal Pendidikan dan Sains
Published by Lembaga Yasin Alsys
ISSN : 28091051     EISSN : 28088115     DOI : -
Core Subject : Religion, Education, Social,
Religion Education Social Sciences
MASALIQ: Jurnal Pendidikan dan Sains was published by Lembaga Yasin alSys which was published six times a year, January, March, May, July, September and November with a minimum of 5 articles. The journal aims to provide a forum for scholarly understanding of the field of education and plays an important role in promoting the process that accumulated knowledge, values, and skills.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 708 Documents
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Analisis Kendala dan Strategi Implementasi Augmented Reality Berbasis BIM untuk Quality Control Pekerjaan MEP pada Proyek Rumah Sakit X Fadhil Muhammad Suheri; Ari Syaiful Rahman Arifin; Faisal Ashar; Muvi Yandra
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.9981

Abstract

The application of digital technology in construction is developing through the integration of Building Information Modeling (BIM) and Augmented Reality (AR), particularly to improve the effectiveness of quality control during the project implementation stage. However, the implementation of AR in construction work still faces obstacles, particularly related to workflow integration, human resource readiness, and the absence of Standard Operating Procedures (SOP). This study aimed to analyze the obstacles and formulate strategies for implementing BIM-based AR in the quality control of Mechanical, Electrical, and Plumbing (MEP) work on Hospital X project. This study used a descriptive qualitative approach with an evaluative design. Data were collected through observation, interviews with nine informants, and documentation, and were then analyzed using coding and categorization techniques. The results showed that BIM-based AR was able to improve visualization and the accuracy of MEP installation verification through comparison between digital model overlays and actual field conditions. However, its use had not been optimal because it had not been systematically integrated into the quality control workflow. The main obstacles identified were managerial in nature, especially the absence of SOP as an implementation reference. Thus, the required strategies include integrating AR into the quality control workflow, preparing operational guidelines, and developing standardized documentation to support the improvement of MEP work quality in construction projects.
Analisis Kebutuhan dan Ketersediaan Air Bersih pada IPA Nelas (PDAM) Perumda Tirta Hidayah Kota Bengkulu Menggunakan Software Stella 10.0.6 Leo Agustin; Meilani Belladona; Tri Sefrus
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.10000

Abstract

Clean water is a basic need for the survival of living beings and constitutes an important aspect of public service provision, particularly for PDAM in improving service levels for the community. The demand for drinking water in a region continues to increase along with population growth, making it necessary to conduct a measurable analysis of clean water needs and availability. This study aimed to analyze clean water needs and availability based on population projections in the service area of IPA Nelas Cahaya Negeri over a 10-year period using Stella 10.0.6 software. The analysis was conducted through population projection modeling to facilitate comparison between clean water needs and community growth over time. The results showed that the population of the IPA Nelas Cahaya Negeri service area in 2033 was projected to reach 338.46 people. Based on this projection, clean water demand was forecast for the domestic and industrial sectors. The calculation results showed that the projected drinking water demand in six regencies in Bengkulu City reached 17,295,424.72 m³/year or 548.434 liters/second. The conclusion of this study emphasizes that projections of clean water needs based on population growth are important as a basis for PDAM service planning so that water availability can be adjusted to the needs of the community and the industrial sector. These findings imply the need to utilize software-based modeling to support more accurate and sustainable clean water distribution planning.
Studi Molecular Docking Senyawa Turunan Benzotiazol Berbasis Oksadiazol sebagai Inhibitor Aldose Reductase Ali Farisan Qisthi; Fitri Amelia
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.10015

Abstract

Diabetes mellitus is a chronic metabolic disease that can cause various complications, such as neuropathy, retinopathy, and nephropathy, due to sorbitol accumulation through the polyol pathway. The aldose reductase enzyme plays an important role in this process and is therefore a potential therapeutic target in preventing diabetes complications. This study aimed to evaluate the potential of oxadiazole-based benzothiazole derivative compounds as aldose reductase inhibitors through molecular docking studies and pharmacokinetic analysis. This study was conducted in silico using Molecular Operating Environment (MOE) 2019.0102 software. Molecular docking simulations were performed on the aldose reductase protein (PDB ID: 4JIR) and then analyzed based on binding affinity values, RMSD, ligand–protein interactions, and evaluation of Lipinski’s Rule of Five using SwissADME. The docking validation results showed an RMSD value of 1.279 Å, indicating that the docking method used was valid. The docking results showed that all ligands had good binding energy values in the range of −7.97 to −8.81 kcal/mol. Compounds 1j, 1m, 1d, 1o, and 1n showed the best binding affinity and stable interactions with important residues, such as ASP43, TRP111, TYR209, and SER210. Pharmacokinetic evaluation showed that most compounds met Lipinski’s Rule of Five, indicating good drug-likeness properties. The conclusion of this study emphasizes that oxadiazole-based benzothiazole derivative compounds have the potential to be developed as aldose reductase inhibitor candidates to support further development of antidiabetic therapy. These findings imply the use of an in silico approach as an initial strategy for more efficient screening of antidiabetic compound candidates.
Pengaruh Model Pembelajaran Kooperatif Tipe STAD terhadap Keterampilan Kolaborasi Siswa Ulfa Luthfiani; Rini Afriani
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.10063

Abstract

Although the implementation of cooperative learning models in history learning has been widely studied, discussions that specifically analyze the effectiveness of the Student Teams Achievement Divisions (STAD) model in improving students’ collaboration skills still need to be strengthened. This study aims to analyze the effect of implementing the STAD-type cooperative learning model on students’ collaboration skills in history learning at SMA Negeri 1 Bandar. This study used a quantitative approach with a quasi-experimental design, involving 72 students selected through purposive sampling and divided into experimental and control classes. Data were collected through observation, questionnaires, and documentation, and were then analyzed using simple linear regression tests and t-tests. The results showed that the implementation of the STAD-type cooperative learning model had a positive and significant effect on improving students’ collaboration skills, as reflected in increased communication skills, group responsibility, active participation, and cooperation among students during the history learning process. These findings strengthen the relevance of cooperative learning in supporting the development of 21st-century skills, particularly collaboration skills in the context of history education. The conclusion of this study emphasizes that the STAD model can be used as an innovative student-centered learning strategy to create more active, interactive, and collaborative history learning. The implications of this study provide theoretical contributions to the development of cooperative learning literature and practical implications for teachers and educational institutions in optimizing the STAD model to improve students’ collaboration skills.
Penerapan Metode Pembelajaran Computational Thinking (CT) pada Anak Usia Dini untuk Kemampuan Bahasa Sumiyati Sumiyati; Eka Danik Prahastiwi
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.10069

Abstract

The application of the Computational Thinking (CT) learning method in early childhood education (PAUD) has become an important focus in strengthening children’s cognitive skills and language abilities. This study aims to examine the implementation of the CT method in early childhood and its influence on children’s language development. This study used a qualitative approach with a case study design conducted in a Playgroup (KB) in Pacitan Regency. Data were collected through structured observation, in-depth interviews with teachers and parents, and documentation of children’s learning activities. The results showed that the application of CT through sequencing, pattern recognition, decomposition, and algorithmic thinking activities contributed to improving children’s active vocabulary, narrative ability, and verbal communication skills. This study concludes that the integration of CT into early childhood learning is effective in stimulating language development in an enjoyable and contextual manner. The implications of this study emphasize the importance of developing innovative CT-based learning methods in PAUD, while also opening opportunities for further research with a broader sample scope and more diverse combinations of digital media.
Analisis Docking Molekuler Ligand Fitokimia terhadap Protein 1ND2 Rhinovirus Rahma Dika Aulia Nasution; Deski Beri
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.10070

Abstract

Although rhinovirus has a high prevalence worldwide, the development of antiviral agents specific to this virus remains limited. This study aims to evaluate phytochemical compounds from Indonesian medicinal plants as potential antiviral candidates against rhinovirus. This study used a quantitative in silico approach through molecular docking using MOE 2022 to analyze the interactions between 13 ligands and the target protein 1ND2. The results showed that tannin (-10.2962), cowanol (-8.9288), and zanthoxylin (-7.4879) had the best binding affinities compared with the other ligands. These findings indicate that phytochemical compounds have the potential to be developed as plant-based antiviral agent candidates. This study contributes to the development of ethnobotany-based drug discovery research and provides an initial basis for further experimental validation. Thus, the exploration of phytochemical compounds from Indonesian medicinal plants has important implications for the development of antiviral therapeutic candidates that are more specific to rhinovirus.
Analisis Docking Molekuler terhadap Ligan Potensial pada Protein 7Q5F Frisca Salda Putri; Ali Amran
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.10079

Abstract

The main protein of SARS-CoV-2 with PDB ID 7Q5F is one of the important targets in the development of antiviral drug candidates. This study aims to evaluate the potential of natural compounds from gambir (Uncaria gambir) in inhibiting the activity of the 7Q5F protein through the molecular docking method. The protein and ligand structures were prepared using MOE 2022 software, followed by docking simulations to analyze the strength and stability of the interactions based on binding energy (S-score) and RMSD values. The results showed that linalool had better interaction ability, with an S-score of -4.48 and an RMSD of 0.79 Å, compared with limonene, which had an S-score of -4.04 and an RMSD of 3.13 Å. These findings indicate that linalool is more stable and more precise in binding to the active site of the 7Q5F protein. Thus, natural compounds from gambir, particularly linalool, have the potential to be developed as antiviral drug candidates against SARS-CoV-2. This study provides an initial contribution to the exploration of plant-based compounds as antiviral therapeutic candidates, although further validation through laboratory research is still required.
Analisis Docking Molekuler Senyawa Fitokimia Indonesia terhadap Protein Rhinovirus 2R06 Kinanti Ratu Saylendra; Deski Beri
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.10084

Abstract

Human Rhinovirus 14 (HRV14) is one of the main causes of upper respiratory tract infections and to date has no specific antiviral therapy. This study aims to analyze the potential of phytochemical compounds from Indonesian traditional plants against the VP1 protein of Rhinovirus 2R06 using an in silico molecular docking method. This study used a quantitative in silico-based approach with MOE 2022 software to evaluate the binding affinity and stability of ligand interactions with the viral receptor. The results showed that tannin, cowanol, and andrographolide had the best binding affinities, with S-scores of -11.6692, -10.2501, and -7.8695 kcal/mol, respectively. Low RMSD values indicated good stability of the ligand-receptor complexes, while the interactions formed were dominated by hydrogen bonds and electrostatic interactions with several important amino acid residues in the VP1 protein. Thus, phytochemical compounds from Indonesian traditional plants have the potential to be developed as natural antiviral candidates against Rhinovirus infection. This study provides an initial scientific basis for the development of plant-based therapeutic candidates, although further experimental validation is still required to confirm their effectiveness and biological mechanisms.
Analisis Molecular Docking Senyawa Fitokimia Tanaman Obat Indonesia terhadap Human Rhinovirus VP1 untuk Terapi Flu Biasa Mutiara Annisa; Deski Beri
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.10091

Abstract

Although Indonesian traditional medicinal plants have been widely used in natural medicine, molecular docking-based studies on the potential of their bioactive compounds as antiviral agents against Rhinovirus 2R06 still need to be developed. This study aims to examine the potential of bioactive compounds from four Indonesian traditional medicinal plants, namely benzoin (Styrax benzoin), turmeric (Curcuma longa), gotu kola (Centella asiatica), and castor leaves (Ricinus communis), as antiviral candidates against Rhinovirus 2R06, one of the main causes of the common cold. This study used a quantitative in silico-based approach through the molecular docking method with MOE 2022 software. The analysis was conducted to evaluate the binding affinity and stability of bioactive compound interactions with the target protein based on S-score and RMSD values. The results showed that curcumin and demethoxycurcumin (DMC) had strong binding affinities, as indicated by highly negative S-score values and low RMSD values. Both compounds formed stable interactions with important residues, such as Leu106 and Val188, through hydrogen bonds. Thus, bioactive compounds from Indonesian traditional medicinal plants, particularly curcumin and DMC, have the potential to be developed as natural therapeutic candidates for respiratory tract infections caused by Rhinovirus 2R06. This study provides an initial basis for the development of phytochemical compound-based antiviral agents, although further experimental validation is required to support their clinical application.
Analisis Kadar Karbohidrat dan Lemak Keju Mozarella Menggunakan Metode Luff-Schoorl dan Weibull Berdasarkan SNI 01-2891-1992 Reni Reni; Alizar Ulianas
MASALIQ Vol 6 No 3 (2026): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i3.10097

Abstract

Mozzarella cheese is a widely consumed dairy product and has distinctive characteristics, such as meltability and elasticity, which are influenced by its nutritional composition, particularly carbohydrate and fat content. Nutritional content analysis of mozzarella cheese is important to ensure product quality and its conformity with food standards. This study aims to determine the carbohydrate and fat content of mozzarella cheese based on the SNI 01-2891-1992 method. Carbohydrate content was determined using the Luff-Schoorl method, while fat content was analyzed using the Weibull hydrolysis method. The mozzarella cheese samples were prepared through dissolution and hydrolysis processes before testing. The analysis results showed that the carbohydrate content in the mozzarella cheese sample was 1.8778%, while the fat content was 24.4548%. The low carbohydrate content indicates that most of the lactose had undergone fermentation during the cheese-making process. Meanwhile, the fat content obtained met the quality requirements for mozzarella cheese based on SNI 8896:2020, namely a minimum of 18%. Thus, the Luff-Schoorl and Weibull hydrolysis methods can be used to accurately determine carbohydrate and fat content in mozzarella cheese in accordance with the Indonesian National Standard (SNI).

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