cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Dedi Junaedi
Contact Email
dedijunaedi@mes-bogor.com
Phone
+628118114379
Journal Mail Official
dedijunaedi@mes-bogor.com
Editorial Address
PD MES Bogor Raya Jl Raya Pemda No 41 Sukahati Cibinong, , Kab. Bogor, Provinsi Jawa Barat
Location
Kota bogor,
Jawa barat
INDONESIA
Sci-Tech Journal
Published by Masyarakat Ekonomi Syariah Bogor
ISSN : -     EISSN : 28306759     DOI : 10.56709
Core Subject : Health, Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Public Health
Sci-Tech Journal is a peer-reviewed national journal published by Masyarakat Ekonomi Syariah (MES) Bogor in collaboration with Institut Agama Islam Nasional (IAI-N) Laa Roiba Bogor, Ikatan Ahli Ekonomi Islam (IAEI), and Intelectual Association for Islamic Studies (IAFORIS) . This journal contains scientific papers from academics, researchers and practitioners in the fields of sciences, technology, information, bioindustry, and business research. E-ISSN 2830-6759
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2022): Sci-tech Journal (STJ)" : 6 Documents clear
Data Mining Pengelompokan Akta Nikah Berdasarkan Usia Nikah atau Domisili Menggunakan Metode Clustering: Studi Kasus  Kemenag Langkat Nurlaila Nurlaila
Sci-tech Journal (STJ) Vol. 1 No. 1 (2022): Sci-tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (750.756 KB) | DOI: 10.56709/stj.v1i1.15

Abstract

A park in a limited sense is a plot of land that is arranged in such a way that it has beauty, comfort, and security for the owner or user. Based on the scale and shape, the park can be called a garden, park, or landscape. Now the park is not only filled with plants or large trees but has varied, one of which is by making ornamental grasses. A decision support system is used in the selection of grass types to make it easier for users to decide which grass to use for gardening. The VIKOR method is a Multi-Criteria Decision Making (MCDM) method that can be used to select more than one criteria. it can be seen that the first alternative to choose the best grass for gardening is peking, swiss and pescue grass with a value of Q = -0.6 and 0.05 and has the right to be recommended as a type of grass for gardening. Keywords: Park, Vikor Method, Decision Making System
Penerapan Metode Vikor untuk Menentukan Pemberian Dana Mekaar Plus pada PNM Kota Binjai Enno Loria
Sci-tech Journal (STJ) Vol. 1 No. 1 (2022): Sci-tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1497.947 KB) | DOI: 10.56709/stj.v1i1.16

Abstract

PT Permodalan Nasional Madani or PNM, is here as a solution to improve welfare through access to capital, assistance and capacity building programs for business actors. Along with business development, in 2016, PNM launched a capital loan service for underprivileged women who are ultra micro business actors through the Fostering a Prosperous Family Economy (PNM Mekaar) program. For this reason, PNM must be more careful and considerate in determining the provision of Mekaar Plus loans. In order not to make mistakes and cause disappointment in the future. So it is necessary to build a system that can be used as a determining and alternative system in determining how to provide Mekaar Plus funds by using a decision support system. This system will be able to make decisions quickly and precisely according to predetermined criteria. So that in the process of giving the blooming funds it can be done more effectively and can reduce the occurrence of errors in the decision-making process. There are many methods used in the decision-making process. One of the methods used in this research is the Vise Kriterijumska Optimizajica I Kompromisno Resenje (VIKOR) method. Keywords: Decision Support System, PNM, Mekaar, VIKOR
Identifikasi Kualitas Kesegaran Susu Kambing Melalui Pengolahan Citra Digital Menggunakan Metode Learning Vector Quantization (LVQ) Dea Parahana Parahana
Sci-tech Journal (STJ) Vol. 1 No. 1 (2022): Sci-tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1462.361 KB) | DOI: 10.56709/stj.v1i1.17

Abstract

Goat milk is milk produced by female goats after giving birth. Goat's milk contains many vitamins, minerals, electrolytes, chemical elements, enzymes, proteins, and fatty acids that are good for body health. The number of people's interest in goat's milk, makes goat's milk farmers to produce goat's milk in various ways for the sake of profit. For example, by reducing the level of purity and freshness of goat's milk by mixing other ingredients other than the original pure goat's milk. The identification process using imagery requires a method that can identify fresh and not fresh goat's milk. There are several methods that can be applied in digital image processing, one of which is using the Learning Vector Quantization (LVQ) method. LVQ is a single layer net with each input layer connected directly to the output neurons. Both are associated with a weight consisting of xi is the input, wii is the weight and yi is the output. Analysis of this calculation is used which becomes the initial value. Learning Rate (α) = 0.05, with a reduction of 0.1 * , and maximum epoch (MaxEpoch) = 1. The results of the analysis of the smallest distance on the 1st weight, so that the input image of the goat's milk test belongs to class 2. Thus, the image data of the goat's milk test is identified as mixed goat's milk. Keywords: Goat's Milk, Digital Image, Learning Vector Quantization
Implementasi  Learning Vector Quantization (LVQ) Dalam Mengidentifikasi Gula Aren Asli dengan Gula Aren Campuran Melisa Melisa
Sci-tech Journal (STJ) Vol. 1 No. 1 (2022): Sci-tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1483.424 KB) | DOI: 10.56709/stj.v1i1.18

Abstract

Palm sugar is one type of sugar that is often used by the community as a sweet taste for cooking, making food and drinks. Palm sugar is made from palm sap or juice from coconut trees, by boiling. To distinguish real and mixed palm sugar, by naked eye it is difficult to tell the difference. Moreover, many people do not understand or lack knowledge about the authenticity of palm sugar circulating in the market. So far, people who buy palm sugar only see the authenticity of palm sugar from its sweet taste or color. For this reason, it is necessary to identify using a digital image of the palm sugar, to determine the type of original palm sugar and mixed palm sugar. This is done so that the public gets information and knowledge so that they can be more observant and thorough in choosing and distinguishing palm sugar on the market by knowing the image characteristics of real palm sugar and mixed palm sugar. The Learning Vector Quantization (LVQ) method is a type of competitive-based network where from the output value given by the neurons in the output layer, only the winning neurons are considered. The winning neuron will undergo weight renewal. From the results of the analysis of calculations carried out with test data, the smallest distance data is obtained, namely at weight 1, so that the test image input on the palm sugar image is included in class 1 or original palm sugar. Thus, the palm sugar test image data is in accordance with the expected result data. Keywords : Palm Sugar, Digital Image Processing, Learning Vector Quantization
Mendiagnosa Penyakit pada Ayam Petelur Menggunakan Metode Certainty Factor Sartika Nasution
Sci-tech Journal (STJ) Vol. 1 No. 1 (2022): Sci-tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (966.932 KB) | DOI: 10.56709/stj.v1i1.19

Abstract

The nutritional status of chickens has a major effect on productivity and it is closely related to the health of chickens. Several diseases in chickens have an economic impact because they can reduce the quality of good chicken eggs to the detriment of farmers. The main problem which is the toughest challenge in chicken farming is the emergence of disease, so its management needs to be done efficiently and professionally. However, farmers usually only know the symptoms that occur in sick chickens, without knowing what disease they are suffering from. As for veterinarians, it is difficult to find, and it takes a long time to handle chickens because the cage is far from residential areas. The Certainty Factor method can be applied to diagnose laying hens disease based on the symptoms of laying hens. Based on the results of the CF calculation, the diagnosis of Avian Encephalomyelitis (AE) in red laying hens with a confidence value of 0.9654 × 100% or 96.54% and calculated with the value of Avian Influenza / Bird Flu with a confidence value of 0.6 × 100% or 60%. Thus, red chicken A is said to be diagnosed with Avian Encephalomyelitis (AE) with a Certainty Factor confidence value of 96.54%. Handling for AE disease is AE vaccination using MEDIVAC AE-Pox at the age of 10-14 weeks. With the application of giving through a wing web. Key words : Laying hens, Certainty Factor
Pengaruh Waktu Fermentasi Madu dengan Bawang Putih Tunggal (Allium sativum L.) terhadap Daya Hambat Bakteri Propionibacterium acnes Elva Angela; Aan Kunaedi; Ine Suharyani; Andriana Andriana
Sci-tech Journal Vol. 1 No. 1 (2022): Sci-tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v1i1.25

Abstract

Honey is a substrate that has widely used by the people of Indonesia for treatment, one of which is used to treat acne. Honey has antimicrobial inhibitory power, antimicrobial ability is also found in other natural ingredients, one of it is Single Garlic (Allium sativum L.). Community trend towards the two natural ingredients, one of which is by combining Honey and Single Garlic (Allium sativum L.) using the method of soaking Single Garlic (Allium sativum L.) in Honey. The purpose of the study is to determine the inhibitory power of honey bacteria from soaking / fermentation against propionibacterium acnes bacteria.Testing use the disc paper diffusion method with a sample of fermented Honey and a single Garlic (Allium sativum L.) against the length of honey fermentation time, positive control (Clindamycin 300 mg), and negative control (aquadest). Sample Honey and Garlic Sample (Allium sativum L.) were fermented length time at weeks 1,2,3 and 4. The results showed that the length of time honey fermentation can increase the inhibitory power of the growth of Propionibacterium acnes bacteria by the presence of clear zones around the disc paper. The diameters of honey fermentation in weeks 1,2,3 and 4 are 0.416 mm, 0.65 mm, 0.775 mm and 1.8 mm. The conclusion that the length of fermentation time of Honey and Single Garlic (Allium sativum L.) will increase in diameter in the clear zone of its inhibitory power known in the fourth week to have a maximum inhibitory power of 1.8 mm. Keywords: Fermented honey, Single Garlic,Inhibitory power of bacteria Propionibacterium acnes

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol. 3 No. 1 (2024): Sci-Tech Journal Vol. 2 No. 2 (2023): Sci-tech Journal  (STJ) Vol. 2 No. 1 (2023): Sci-tech Journal (STJ) Vol. 1 No. 2 (2022): Sci-tech Journal (STJ)  Vol. 1 No. 1 (2022): Sci-tech Journal (STJ)