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INDONESIA
JURNAL PHOTON
Published by Universitas Muhammadiyah Riau
ISSN : 2087393x     EISSN : 25795953     DOI : -
Core Subject : Health, Science, Agriculture,
Agriculture, Biological Sciences & Forestry Chemistry Nursing Physics
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge
Arjuna Subject : -
Articles 709 Documents
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Biodegradasi Hidrokarbon Crude Oil di Kawasan PT. Bumi Siak Pusako-Pertamina Hulu menggunakan Konsorsium Bakteri Indigen Riryn Novianty; Yuharmen Yuharmen
Sistem Informasi Vol 13 No 2 (2023): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v13i2.5053

Abstract

Riau Province is one of the largest producing areas of crude oil. Drilling and refining petroleum often produce waste crude oil in large quantities. One method that can be used to degrade waste is biodegradation using a consortium of microorganisms. This study examined the effectiveness of a consortium of indigenous bacteria in degrading hydrocarbon compounds. Growth tests and the ability of isolates to degrade hydrocarbons were carried out by inoculating isolates in liquid Bushnell Haas media containing crude oil of about 5% and incubating for 16 days. The potency of the indigen bacterial consortium during the degradation process is influenced by several parameters, including pH, OD (Optical Density), dan CO2 observed on days 0, 4, 8, 12 and 16 days of incubation. KB4 is the superior consortium in degrading hydrocarbon crude oil. Based on the analysis using GC-MS instruments, the bacteria consortium can degrade two hydrocarbon compounds in crude oil.
Tingkat Kerentanan Kota Pekanbaru terhadap Perubahan Iklim Yulia Fitri; Lidya Rahayu Lidya; Sri Fitria Retnawaty
Sistem Informasi Vol 13 No 2 (2023): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v13i2.4823

Abstract

Sekitar 60% bencana alam ialah bencana alam akibat dari kejadian iklim ekstrem seperti banjir, kekeringan, kebakaran hutan, angin kencang/badai, tanah longsor, gelombang pasang tinggi dan meledaknya penyakit. Perubahan iklim menyebabkan meningkatnya ancaman terhadap ketahanan pangan, kesehatan manusia, ketersediaan air, dan juga ancaman keragaman hayati. Sebanyak 23 dari 323 kabupaten/kota di Indonesia rentan terhadap perubahan iklim yang dikarakterisasi sebagai tingginya nilai rasio rendaman, nilai kepadatan penduduk, nilai kawasan permukiman dan nilai kawasan non permukiman. Kota Pekanbaru mengalami perubahan iklim yang berdampak cukup nyata terhadap masyarakat Pekanbaru. Tujuan dari penelitian ini untuk mengetahui tingkat kerentanan Kota Pekanbaru terhadap perubahan iklim. Metode yang digunakan untuk mengetahui tingkat kerentanan yaitu metode Centre for Climate Risk and Opportunity management (CCROM). Software Arc Gis 9.3 untuk memperoleh peta tingkat kerentanan Kota Pekanbaru. Analisis data dilakukan secara deskriptif. Hasil dari perhitungan tingkat kerentanan bahwa terdapat 49 kelurahan di Kota Pekanbaru tidak kategori rentan, 6 kelurahan dalam kategori agak rentan yaitu Kelurahan Kampung Tengah, Rejosari, dan Sukajadi, Industri Tenayan, Limapuluh dan Tanjung Rhu. Daerah yang dalam kategori rentan hanya satu yaitu Kelurahan Meranti Pandak.
Sintesis C-dots dari Gula Pasir dan Asam Sitrat untuk Deteksi Logam Berat Yanto, Yanto; Dona, Rahma; Ikhtiarudin, Ihsan
Photon: Jurnal Sain dan Kesehatan Vol. 14 No. 1 (2023): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v14i1.4214

Abstract

Heavy metal contamination is one of the problems in pharmaceutical products. Carbon dots are a practical and economical method of heavy metal detection to reduce heavy metal contamination in pharmaceutical products. Carbon dots have been successfully synthesized by microwave irradiation from sugar table doped with urea fertilizer (CD-GU) and citric acid doped with urea fertilizer (CD-AU). The success of the synthesis of carbon dots can be seen from their properties that produce a blue to green luminescence when excited with a 405 nm laser and an orange to red luminescence when excited with a 532 nm laser. When excited with a 405 nm laser, CD-GU produces a strong light blue luminescence, while CD-AU produces a strong green luminescence. CD-GU and CD-AU also exhibit orange luminescence when excited with a 532 nm laser. The intensity of luminescence of carbon dots will decrease when interacting with heavy metals so that it can be applied for heavy metal detection. The results of this study revealed that CD-GU and CD-AU can be used to detect heavy metals.
Komposisi Senyawa 1.8-cineole dari Ekstrak Daun Eucalyptus pellita Menggunakan 2 Jenis Pelarut serta Fitotoksisitas Terhadap Gulma Borreria alata (Aubl) DC. Rangkuti, Muhammad Syaid; Hapsoh, Hapsoh; Adiwirman, Adiwirman
Photon: Jurnal Sain dan Kesehatan Vol. 14 No. 1 (2023): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v14i1.4645

Abstract

The monoterpene group has a molecule called 1.8-cineole as its primary component. The compound 1.8-cineole is one of the most powerful allelochemicals released by many species, such as Eucalyptus spp., which is toxic to other plants. This study intends to identify a suitable solvent to extract 1.8-cineole derived from Eucalyptus pellita leaf extract using 2 types of solvents, ethanol and aquadest along with their phytotoxicity properties. This research was conducted in 2 stages. The first stage involved the extraction of Eucalyptus pellita leaves using the Soxhlet method, and the extraction results were analyzed with GC/MS. The second stage of the phytotoxicity test against Borreria alata (Aubl) DC., weeds used seven levels of extraction formula treatment. The extraction results using ethanol solvents showed higher yields of 1.8-cineole compound composition compared to using aquadest solvents. The results of the phytotoxicity test of variance showed a significant difference in the wet and dried mass of weeds. The extraction formula with a concentration of 50% Eucalyptus pellita leaf extract using ethanol as a solvent has the best phytotoxicity properties compared to other extraction formulas.
Optimization of Nitrogen and Mineral Sources in Liquid Media for Amylase Production Thermophilic Aspergillus sp. LBKURCC304 Syaifullah, Mhd Muslim; Devi, Silvera; Saryono, Saryono; Itnawita, Itnawita; Mukhlis, Mukhlis
Photon: Jurnal Sain dan Kesehatan Vol. 14 No. 1 (2023): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v14i1.5468

Abstract

The application of amylase is relatively large, used in various industries: textiles, pulp and paper, feed, detergents, and food. Therefore, the isolation and optimization of amylase production from various microorganisms has been ongoing. Optimization of amylase production from Aspergillus sp. LBKURCC304 was carried out in liquid media with variable sources of nitrogen (soy flour, tempeh flour or catfish flour) and minerals (FeSO47H2O; CaCl2 2H2O; MgSO4 7H2O; MnSO4 H2O, BaCl2 2H2O) incubated at 50⁰C for 11 days with an agitation speed of 150 rpm. The amylase activity produced was determined by the Nelson-Semogyi method, the protein content by the Lowry method and the specific activity was calculated from the ratio of the amylase activity to the protein content. The research data were statistically tested using ANOVA and the multiple-distance Duncan method at a significance level of 5%. The results of the study showed that the highest amylase activity of 0.0084±0.0014 U/mL was produced in a medium with a nitrogen source of tempeh, the mineral was MgSO4.7H2O, a concentration of 0.05%. The protein content was 0.5111±0.0073 mg/ml and the specific activity was 0.0164±0.00 U/mg.
Shelf-Life Test of Kebab Kebuli Al 'Aqoh for Fulfiling Product Quality of Small Medium Enterprise Rachmaniah, Orchidea; Rahmawati, Yeni; Kusumahati, Sari; Juliastuti, Sri Rachmania; Hendrianie, Nuniek; Darmawan, Raden; Oktavianingrum, Eva; Fahmi, Fahmi; Meka, Wahyu
Photon: Jurnal Sain dan Kesehatan Vol. 14 No. 1 (2023): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v14i1.6041

Abstract

Al 'Aqoh Drink & Snack, an SME of PKH ITS, participated in a mentoring program in 2021. A series of long-term test storage, microbial contamination tests, and nutritional content tests were conducted for Kebab Kebuli, a product of Al 'Aqoh Drink & Snack, as an implementation of Halal Assurance System (SJH) and Good Manufacturing Practice (GMP). The test results inferred the hygiene of the Kebab Kebuli production process. Freshly made Kebab Kebuli had a total mold value of 2.00 x 101 CFU/g and Escherichia coli of 6.00 x 101 CFU/g. However, other parameters, such as Salmonella sp. and Staphylococcus aureus, were not detected. Although a few mold numbers were detected, ca. 2.00 x 101 CFU/g, an awareness still needs to be applied. Moreover, a non-pathogenic E. coli bacterium, ca. 6.00 x 101 CFU/g, was detected. E. coli can be minimized with good process and post-production sanitation. Therefore, the cooking and reheating process of Kebab Kebuli at 65 oC and subsequent chilling at 4 oC should have been applied. It may have been enough to suppress the growth of E. coli. Hence, it is necessary to process the Kebab Kebuli according to the serving suggestions and to ensure food safety, i.e., avoiding diarrhea.
The Design and Construction of A Dynamic Multi-Sensor and Multi-Storage Data Logger for Weather Parameters Wahyuni, Retno Tri; Subagiyo, Heri; Huda, Amirul
Photon: Jurnal Sain dan Kesehatan Vol. 14 No. 1 (2023): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v14i1.6278

Abstract

The Data Logger is an electronic device designed to automatically and continuously store data. Data loggers are widely used in various fields, including the storage of weather parameter data. Generally, a data logger consists of sensor devices, a processor, and storage media. This paper discusses the design of a dynamic data logger that allows the selection of sensor input types and storage media such as an SD card or a cloud database. The data logger comprises hardware devices, including five weather parameter sensors, a processor and a communication module using ESP32, a timing system using RTC, and local storage media in the form of an SD card. Additionally, there is a computer-based user interface built using Visual Basic. The connection between the user interface application and the data logger hardware is established using serial communication. Overall system testing results indicate that all features of the data logger system have operated well.
Artificial Neural Network Based Rainfall Prediction using Back Propagation Technique in Pekanbaru City Nurmala, Nurmala; Fitri, Yulia; Gautami, Sanya
Photon: Jurnal Sain dan Kesehatan Vol. 14 No. 2 (2024): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v14i2.6679

Abstract

The intensity of rainfall is a significant weather component that has a profound effect on natural disasters, particularly floods and landslides, particularly in Indonesia. Precise meteorological forecasts and comprehensive climatic data, including accurate rainfall projections, will effectively reduce the hazards associated with severe weather events. Prior studies have demonstrated the efficacy of the Backpropagation Neural Network (NN) approach in accurately forecasting rainfall. The objective of this work is to forecast the daily precipitation in Pekanbaru City using Neural Networks with the Backpropagation technique. The neural network model was constructed using supervised multilayer learning, initially with one hidden layer and subsequently expanded to two hidden layers, utilizing daily data spanning three years (2017-2019). The rainfall forecasting model was constructed by many iterative training and testing procedures. Forecasts of rainfall were categorized into six groups: cloudy, light rain, moderate rain, heavy rain, very heavy rain, and extreme rain. The forecast outcomes were shown using a MATLAB graphical user interface (GUI). While the prediction accuracy of 61% falls short of the national verification threshold of 75%, this work establishes a fundamental framework for the application of neural networks in weather forecasting. The outcomes can be enhanced by using more relevant data and using more precise training procedures to achieve more precise predictions.
Narrative Review: The Influence of Carcass Placement on Insect Algazali, Mohamad Assegaf; Abid, Istiana Firqah
Photon: Jurnal Sain dan Kesehatan Vol. 14 No. 2 (2024): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v14i2.7697

Abstract

Forensic entomology is crucial in providing information related to insects and legal cases involving both animals and humans. Insects serve as indicators of the time of death, with their presence influenced by the cause and placement of the corpse. This study aims to examine the effect of carcass placement on insect arrival. The method used in this narrative review involves searching for articles with the same or similar topics to obtain data relevant to the topic under discussion. The results of this narrative review revealed that insects arriving on rabbit carcasses placed both indoors and outdoors, as well as on pig carcasses placed outdoors in Warri, Southern Nigeria, belong to seven orders: Diptera (Muscidae, Calliphoridae, Sarcophagidae, Formicidae, Tachinidae), Coleoptera (Chrysomelidae, Staphylinidae, Scarabaeidae, Silphidae, Cleridae, Dermestidae, Histeridae), Hymenoptera (Formicidae), Hymenoptera, Lepidoptera, Blataria, and Orthoptera (Grillidae). Additionally, the difference in placement affected larval growth, with carcasses placed in enclosed spaces showing higher larval growth compared to those placed in open spaces. Keywords: Forensic Entomology, Decomposition, Insects
Narrative Review: The Role of the COVID-19 Pandemic in the Rise of Cybercrime Worldwide Pinem, Nirwana Seftiani
Photon: Jurnal Sain dan Kesehatan Vol. 14 No. 2 (2024): Jurnal Photon
Publisher : LPPM Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jp.v14i2.7698

Abstract

The high incidence of cybercrime during the COVID-19 pandemic in Indonesia underscores the need for a study on the role of the COVID-19 pandemic in the global increase of cybercrime. This research aims to understand the role of the COVID-19 pandemic in the rise of cybercrime worldwide. The study uses a narrative review method, involving the search for articles with similar or related topics to gather relevant data. The keywords used were: cybercrime, COVID-19, World. Articles were sourced from trusted websites, including Google.com, Google Scholar, and Semantic Scholar, with a publication date range from 2019 to 2024. The results indicate that COVID-19 had a positive impact on communication services, PC delivery, social media usage, online shopping, and accelerated the use of cash alternatives. However, it also had negative effects, such as extreme global poverty, financial difficulties, loss of income, increased depression among American teenagers living with their parents, and international cybercrime targeting vaccine research and development organizations.

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