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JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI
Published by Universitas Al Azhar Indonesia
ISSN : 20879725     EISSN : 23558059     DOI : -
Core Subject : Health, Science, Engineering,
Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health
Jurnal AL-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI terbit 2 kali dalam setahun yaitu pada bulan Maret dan September adalah jurna; ilmiah yang mempublikasikan artikel hasil penelitan ilmiah dan ide-ide di bidang sains dan teknologi. Jurnal ini berfokus pada bidang teknik industri, teknik elektro, teknik infromatika, biologi, gizi dan teknologi pangan.
Arjuna Subject : Umum - Umum
Articles 306 Documents
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Simulasi Rancangan Pemetaan Sekolah dengan Metode Algoritma Machine Learning Menggunakan Software RapidMiner Aprilia, Aisyah Sabrina; Aribowo, Budi; Chirzun, Ahmad
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 1 (2022): Januari 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i1.877

Abstract

The growth in the number of educational institutions creates competition which encourages each educational institution to have a special strategy to deal with it. The challenge that must also be faced in the world of education is the uneven quality of education in various regions. One way to face the challenge of equal distribution of school quality is to create programs that suit the needs of each school. In this study, solving the problem of mapping schools owned by the XYZ educational foundation was carried out. The results of this study obtained a design of a school mapping indicator instrument to assess the quality of each school. Then obtained a simulation of school mapping design from the results of unsupervised learning with the K-Means and K-Medoids Clustering methods, as well as a simulation of predicting school mapping patterns from the results of supervised learning with the Decision Tree C4.5 method. The results of K-Medoids were selected for the proposed school mapping with a Davies Bouldin index value of 0.112. The model cluster owned by K-Medoids, namely Excellent School, has 44 schools; at Good School, there are 36 schools; and in the Improvement School, there are 20 schools. Meanwhile, the prediction pattern with Decision Tree C4.5 obtained rules with the dominant indicator attributes (IND) 1, 2, 3, and 4. Also, the prediction simulation results using the 80:20 ratio decision tree model show the new testing data with the assumption that the 101st school goes to cluster_1 with an accuracy rate of 95%.Keywords - Decision tree, K-means, K-medoids, School mapping indicator instrument.
Respon Tanaman Daun Tombak (Sagittaria lancifolia) Dalam Cekaman Logam Berat Tembaga (Cu) Alfin Fatwa Mei Afifudin; Eva Agustina; Nirmala Fitria Firdhausi; Rony Irawanto
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 2 (2022): Mei 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i2.1118

Abstract

One type of heavy metal that pollutes waters is heavy metal copper (Cu). Cu metal is basically an essential metal for living things, but with high levels of Cu metal, it can interfere with the body's metabolic processes. Therefore, there needs to be a solution to overcome Cu metal pollution in the waters. One of them is phytoremediation, or the use of plants to absorb pollutants. Spear leaf plant (Sagittaria lancifolia) is proven to be able to absorb heavy metal copper (Cu). However, the growth response is not yet known in more detail. Therefore, this study aimed to determine the growth response of pike leaf (Sagitaria lancifolia) under stress of heavy metal copper (Cu). This research is an experimental study with a completely randomized design (CRD). The experiment was conducted with 8 treatments (4 treatments with 2 tests) and 3 replications. The 4 treatments were distinguished based on differences in the concentration of Cu metal used, namely 0 mg/L, 1mg/L, 2mg/L, and 3 mg/L. The results showed that exposure to heavy metal copper (Cu) in each concentration variation and detention time variation did not have a significant effect on the growth and morphological conditions of spear leaf (Sagittaria lancifolia) plant, so this plant deserves to be used as an option in recovery efforts of water environment contaminated with heavy metal copper (Cu).Keywords – Response, Lanceleaf arrowhead, Sagittaria lancifolia, Heavy metals, Copper (Cu)
Perancangan Filament Extruder pada Mesin Pengolah Sampah Plastik Terintegrasi “Creatics” Menggunakan Metode TRIZ dan AHP Aprilia Tri Purwandari; Dicky Sumantri; Niken Parwati; Ahmad Juang Pratama
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 2 (2022): Mei 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i2.1041

Abstract

3D printer technology is being widely used in various manufacturing industries. 3D printers can produce three-dimensional products made of plastic sheets with a certain diameter called filaments. 3D printer filaments that are widely used are made of Acrylonitrile Butadiene Styrene (ABS) plastic. The purpose of this research is to develop a Creatics plastic waste processing machine to produce products in the form of filaments that can be used as materials in 3D printers, so that they have more economic value and are environmentally friendly. Creatics machine is an integrated plastic waste processing machine that converts plastic waste into recycled products. In this study, the Teorija Rezhenija Izobretatelskih Zadach (TRIZ) method is used as a product development method to determine product specifications that are able to generate new ideas by eliminating contradictions and using innovative principles that can produce creative solutions. In the process of selecting alternative concepts, the Analytical Hierarchy Process (AHP) decision-making method is used. The results obtained by the TRIZ method are important parameters and need to be prioritized in designing a filament extruder, namely product reliability, energy use from moving objects, and product strength. The product design chosen based on the AHP method is a filament extruder made of stainless steel to be resistant to rust and utilizes the fan in the filament cooling process.Keywords - AHP method, Creatics machine, Filament extruder, Plastics waste, TRIZ method
Perbanyakan In Vitro Bawang Putih (Allium Sativum Var. Tawangmangu) Melalui Kultur Tunas Kapital (Shoot Apex) Dian Latifa; Tia Setiawati; Ruly Budiono
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 2 (2022): Mei 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i2.1121

Abstract

The purpose of this research was to get the best combination of NAA and BAP concentration that enhance the growth of shoots and the best IBA concentration to root inducing from shoot apex explants of garlic on semi-solid MS medium. Research used experimental method with single factor and 2 steps induction of research, those are shooting and rooting. For the steps of shoot induction, the treatment used 9 combinations concentration BAP and NAA (k), those were k1 (NAA 0,25 ppm + BAP 1 ppm), k2 (NAA 0,5 ppm + BAP 1 ppm), k3 (NAA 0,75 ppm + BAP 1 ppm), k4 (NAA 0,25 ppm + BAP 1,5 ppm), k5 (NAA 0,5 ppm + BAP 1,5 ppm), k6 (NAA 0,75 ppm + BAP 1,5 ppm), k7 (NAA 0,25 ppm + BAP 2 ppm), k8 (NAA 0,5 ppm + BAP 2 ppm) and k9 (NAA 0,75 ppm + BAP 2 ppm). While for root induction used 3 treatments, those were i1 (IBA 1 ppm), i2 (IBA 2 ppm) dan i3 (IBA 3 ppm). The fastest time of shoot’s growth was 4,66 days after planting that appeared on k7 treatment. The treatment of k4 was the best average of the number shoots and leaves (2,66 and 4). Treatment of k3 was the best average of the lenght shoots and leaves (7,33 and 8,03). In the step of root induction, i2 is fastest time for root inductions (10 day after root induction) and the best average of the number root (2,66). Furthermore, i1 treatment was the best average of the lenght root (0,47 cm).Keywords: Garlic, MS, Plant growth regulator, Shoot apex, Tissue culture
Formulasi dan Karakterisasi Mi Kering Substitusi Tepung Kacang Merah Tinggi Serat Dina Widiawati; Sarah Giovani; Sefira Putri Liana
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 2 (2022): Mei 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i2.1114

Abstract

Making dry noodles from red bean flour substitution is one way to reduce the consumption of wheat flour in Indonesia and this dry noodle can be a functional food product. This study aims to determine the best substitution formula of red bean flour favored by panelists and to determine the results of physicochemical testing of the resulting dry noodles. The ratio of flour used between wheat flour and red bean flour is 90%:10%, 80%:20%, and 70%:30%. This study used a Completely Randomized Design (CRD) with Duncan's further test. The results of the analysis of variance based on physical and chemical tests on dry noodles were not significantly different for each treatment at the 5% level. Meanwhile, the organoleptic test showed a significant difference in color (before and after the presence), but no significantly different in texture, aroma, and taste. The 10% red bean flour substitution treatment resulted in dry noodles which were favored by the panelists. This noodle has 86,07%±1,90 water absorption, 4,95%±0,12 cooking loss, 9,16%±0,45 water content, 2,15%±0,89 ash content, 7,62%±0,87 protein, 1,01%±1,14 fat, 80,04%±1,01 carbohydrates, and 3,88%±1,05 dietary fiber. Panelists on color before launching (somewhat like); color after (rather like); texture (rather like); aroma (slightly like), and taste (slightly like). Dry noodles with the addition of 10% red bean flour can be said to be a functional food source of fiber because the dietary fiber is 3.88%. This also shows that the fiber content of dry noodles substituted with red bean flour can be a source of functional food.Keywords – Physicochemistry, Characterization, Dried Noodles, Dietary Fiber, Red Bean Flour
Identifikasi Potensi Bahaya dan Analisis Risiko Penyebaran Virus Covid-19 pada Proses Pembelajaran Tatap Muka (PTM) Terbatas di SMK XYZ Dinda Aulia; Aprillia Tri Purwandari
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 2 (2022): Mei 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i2.1137

Abstract

The COVID-19 pandemic caused by the coronavirus has caused most human activities to be hampered, ranging from trade bans and office closures to students who have to do online learning activities. However, over time, the rate of positive coronavirus cases began to decline so that governments in various countries began to open schools and allow limited face-to-face learning processes. This research was carried out as a step to prevent the spread of the COVID-19 virus in the school environment and was carried out at one of the vocational high schools in Jakarta using Job Safety Analysis (JSA) to identify activities and risks that could potentially cause the spread of the coronavirus in the school environment. Then, the activity with the highest average fuzzy risk level is determined using the fuzzy approach. Activities with very high risk are analyzed for their causes using the domino theory and given recommendations for their control. From the results of this study, it is known that the level of compliance of XYZ Vocational School residents in implementing health protocols, especially when outside the home, is good. It is also known that there are 6 types of activities that are categorized as very high, with 10 direct causes that can cause incidents. Therefore, the most dominant risk control suggestion is administrative steps to minimize the spread of the virus due to weak control, which is the root cause of the basic cause and immediate cause, according to the domino theory sequence.Keywords - Covid-19, Domino theory, Fis mamdani, FTA, JSA, The Limited face-to-face learning process
Aktivitas Antioksidan dan Antibakteri Ekstrak Etanol Buah Ihau (Dimocarpus longan var. malesianus Leenh) Terhadap Bakteri Gram Positif (Staphylococcus aureus) Irma Sarita Rahmawati; Rahma Micho Widyanto; Annisa Rizky Maulidiana; Muhammad Surya Madani; Choirun Nisa Riski
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 2 (2022): Mei 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i2.1191

Abstract

Ihau fruit (Dimocarpus longan var. malesianus Leenh) is a typical Kalimantan fruit which has a longan-like morphology. The vitamin C content and various phytochemical compounds of ihau has the potential as a natural antioxidant and antibacterial agent. This study aimed to determine the potential antioxidant and antibacterial activity of ihau extract on Staphylococcus aureus bacteria in vitro with a post-test only control group design. Samples were extracted with 96% ethanol and water using the maceration method. Antioxidant activity measured using DPPH test. Antibacterial test using well diffusion method was performed in six treatment groups (ethanol extract concentration 50, 60, 70, 80, 90, 100mg/ml), positive control (Ampicillin) and negative control (sterile distilled water). The results showed that IC50 value for the ethanol extract of ihau was 681.05 g/ml and the aqueous extract was 698.3 g/ml. The antibacterial test indicated that ethanol extract had an inhibitory effect on the growth of Staphylococcus aureus at 70 mg/ml to 100 mg/ml concentration. It can be concluded that ihau fruit extract has antibacterial ability against gram positive bacteria (Staphylococcus aureus) but does not have antioxidant activity.Keywords - Ihau fruit, ethanol extract, antioxidant, antibacterial, Staphylococcus aureus.
Keragaman Tumbuhan Paku (Pteridophyta) di Taman Biodiversitas Hutan Hujan Tropis Mandiangin Abdul Majid; Aulia Ajizah; Sri Amintarti
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 2 (2022): Mei 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i2.1117

Abstract

Ferns are generally found in high humidity habitats. Mandiangin Tropical Rain Forest Biodiversity Park has high rainfall and humadity, so it has the potential as a habitat for ferns. Research has been carried out that aims to inventory and describe the diversity of ferns found in the Mandiangin Tropicaal Rain Forest Biodiversity Park. The data were obtained by purposive sampling by circling the Mandiangin Tropical Rain Forest Biodiversity Park. The result showed that 11 families with 15 species of ferns were found, namely Drynaria sparsisora, Gleichenia linearis, Christella Sp, Christella dentata, Microlepia speluncae, Nephrolepis falcata, Pteris biaurita, Pithyrogamma calomelanos, Davalia dentriculata, Pteris sp, Platycerium bifurcatum, Selaginela Sp, Lygodium sp., Asplenium nidus and Pleocnemia irregularis.Keywords - Ferns (Pteridophyta), Mandiangin Tropicaal Rain Forest Biodiversity Park South Borneo, Manjai Hill Valley
Klasifikasi Kanker Tumor Payudara Menggunakan Arsitektur Inception-V3 Dan Algoritma Machine Learning Supriyanto, Arif; Kusuma, Wisnu Ananta; Rahmawan, Hendra
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 3 (2022): September 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i3.1284

Abstract

Breast cancer is a disease that arises due to breast tissue cells that grow abnormally and continuously. This disease is a disease with a large increase in number of around 13 million per year, with a mortality rate of 9.6% from a total of 65,858 cases. Early detection of breast cancer for prevention needs to be done, with the hope that breast cancer is easier to treat and cure and can even be prevented before it enters an advanced stage. In this research, build a model with transfer learning technique for breast cancer classification. There are 4 methods tested, namely Inception-V3 feature extraction with the Radial Basic Function Neural Network classification method, FeedForward Neural Network, Logistic Regression and feature extraction by making changes to the hyperparameter layer. This study compares the four models to get the best one to solve the problem of breast cancer classification. The data used in this study are breast cancer image data with a zoom scale of 40X, 100X, 200X and 400X. The dataset was sourced from The Laboratory University of Parana with P&D Laboratory Pathological Anatomy and Cytopathology, Parana, Brazil. The results of this study indicate that the Inception-V3 feature extraction method with the Logistic Regression classification method on the 40X zoom scale data provides the best accuracy (93.00%), precision (94.00%), and recall (91.00%) F1-score (92.00%).
Karakterisasi Sifat Listrik Dan Sifat Termal Hidroksiapatit, Fluorhidroksiapatit Dan Fluorapatit Riano, Riza; Sukaryo, Sulistioso Giat; Sugeng, Bambang; Sari, Yessie Widya; Maddu, Akhiruddin
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 3 (2022): September 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i3.1128

Abstract

The apatite compound that is often used in medicine and dentistry is hydroxyapatite with the chemical formula Ca10(PO4)6(OH)2. Fluor ions can substitute hydroxyl ions from hydroxyapatite to form crystals with the formula Ca (PO4)6(OH)2-xF2x, with the value of x indicating the index number of hydroxyl groups (OH-) replaced by fluor ions (F-). This study aims to determine the effect of fluor ion substitution on hydroxyapatite on electrical properties and thermal stability. In this study, the hydrothermal method was characterized by X-Ray diffractometer (XRD), Fourier Transform Infra-Red Spectroscopy (FTIR), LCR meter, Thermogravimetry Analysis (DTA), and Differential Thermal Analysis (TGA). The XRD and FTIR analysis results showed that the samples obtained were in the form of hydroxyapatite, fluorhydroxyapatite, and fluorapatite, which was also indicated by the presence of functional groups PO43-, CO32-, and OH- group libration mode at a wavenumber of 740 cm-1. There was a decrease in the lattice parameter a and an increase in the crystal size as the substitution of fluor ions increased. Based on the results of the electrical and thermal properties characterization, fluorapatite has the highest conductivity and better thermal stability when compared to hydroxyapatite and fluohydroxyapatite.Keywords – Fluor, Hydroxyapatite, Hydrothermal, eggshell, Biomaterial

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