UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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Virtual Screening of 8-Gingerol in Zingiber officinale Towards Cox-2 Gene
No full textGinger rhizome has polyphenol component which is 8-gingerol. Recent research showed that the compound has role as anti-inflammation and antioxidant. This study aim to analyze the role of 8-gingerol which interacts with COX-2. This study used in silico analysis. Protein model COX-2 (ID: 6cox) was taken from Protein Data Bank (PDB) database while 8-gingerol (CID: 168114) from PubChem. Docking and visualization of interaction between COX-2 and 8-gingerol using Discovery Study Client 4.1 software. We found 8-gingerol has the potential as an inhibitor of the COX-2 gene as evidenced by the 3 amino acid residues that interact with the ligands on the active site and are supported by van der Waals forces and a bond energy of -340.3 cal/mol
PENGGUNAAN PESTISIDA DAN FORMALIN DALAM PROSES PENANAMAN DAN PENGAWETAN SEBAGAI TITIK KRITIS KEHALALAN BUAH: TINJAUAN SISTEMATIS
No full textBuah merupakan makanan yang halal dan baik dalam agama Islam. Namun, dalam prosesnya seringkali melibatkan bahan kimia berbahaya terutama pada buah impor dan non organik. Penelitian ini bertujuan untuk mengkaji penggunaan pestisida dan formalin dalam proses penanaman dan pengawetan sebagai titik kritis kehalalan buah. Metode yang digunakan dalam penelitian ini adalah tinjauan sistematis. Artikel yang digunakan dalam penelitian ini adalah artikel yang diterbitkan dalam kurun waktu lima tahun terakhir yang membahas penggunaan pestisida ataupun formalin pada buah-buahan di negara Tiongkok dan Indonesia. Hasil tinjauan sistematika menunjukkan bahwa Tiongkok yang merupakan salah satu eksportir buah terbesar ke Indonesia masih ditemukan residu pestisida dengan kadar 0.0041–0.3935 mg/kg pada sampel buah-buahan di 13 provinsi di 3 wilayah Tiongkok. Sedangkan di Indonesia, penggunaan formalin ditemukan di lebih dari 5 kota di Indonesia dengan kadar 0.6-315.33 mg/kg dalam buah, terutama buah impor. Hasil penelitian ini menunjukkan bahwa berdasarkan toksisitas dan dampak kesehatan yang ditimbulkan penggunaan pestisida dalam proses penanaman dan pemanfaatan formalin sebagai pengawet buah menjadi titik kritis kehalalan buah. Sehingga peredaran buah impor perlu diatur kehalalannya secara jelas baik dalam peraturan perundang-undangan maupun dalam fatwa Majelis Ulama Indonesia (MUI). Begitu pula dengan kenyamanan konsumen yang perlu diperhatikan dengan pemberian label halal pada produk buah segar. 
KONDISI HEWAN QURBAN YANG DIKASTRI MENINJAU DARI PRODUKSI HORMON ANDROGEN TERHADAP KUALITAS DAGING
No full textKriteria pemilihan hewan qurban sudah sangat jelas dalam hadits Nabi, seperti mencapai umur tertentu sesuai hewan qurban dan sehat fisik atau tidak cacat. Latar belakang penelitian ini adalah banyaknya hewan qurban yang berasal dari peternakan yang dikastrasi dengan tujuan tertentu. Hal ini menimbulkan pertanyaan tentang sah dan tidaknya berqurban menggunakan hewan tersebut karena secara biologis sudah tidak sempurna. Penelitian ini bertujuan untuk mengkaji pengaruh dari hewan qurban yang dikastrasi. Selain itu kajian mengenai keberlangsungan hidup hewan qurban berdasarkan kondisi fisiologi hewan qurban yang sudah dikastrasi terutama pada aspek daging akan dibahas karena merupakan aspek penting dalam pertimbangan kondisi fisik hewan qurban yang sehat. Metode yang digunakan dalam penelitian ini adalah studi literatur. Hasil kastrasi membuat hormon androgen yang mempengarhi otot-otot pada hewan qurban berkembang lebih baik. Kondisi fisik hewan yang dikastrasi menunjukkan bobot badan yang tinggi, meskipun dapat dikatakan kondisi hewan ini cacat secara biologis karena hilangnya fungsi testis. 
Self-Evaluation of Jurnal Informatika Sunan Kalijaga (JISKa): Perspectives of Reviewers and Authors
No full textThe success of JISKa is inseparable from the role of reviewers and authors. Unfortunately, JISKa had never been assessed or evaluated by reviewers and authors despite the fact that assessment from the reviewers and authors would be valuable feedback for JISKa’s self-evaluation. Therefore, survey-based research has recently been conducted to assess JISKa’s performance using the User Acceptance Test of OJS version 2.4.8.0. This study used a survey method to obtain an assessment and evaluation from reviewers and authors related to JISKa.The respondents in this study consist of 68 authors and 26 reviewers. The result of this study stated that 91.2% of the authors and 84.6% of reviewers are satisfied with JISKa. A percentage number of 100% of writers and reviewers wants JISKa to raise its level of Sinta accreditation. This accreditation is awarded in 2018 and will end in 2023. JISKa is now on Sinta 4.The JISKa website appearance looks good and easy to use. The dashboard on the JISKa page is user-friendly for the author. However, the current version of JISKa OJS 2.4.8.0 needs to be upgraded to OJS version 3. There are some points for the future consideration of JISKa: JISKa needs to promote itself more, upgrade the OJS version, and provide the reviewers with certificates of appreciation for future consideration
Sentiment Analysis and Topic Modeling of Indonesian Public Conversation about COVID-19 Epidemics on Twitter
No full textThe World Health Organization (WHO) declared the COVID-19 outbreak has resulted in more than six million confirmed cases and more than 371,000 deaths globally on June 1, 2020. The incident sparked a flood of scientific research to help society deal with the virus, both inside and outside the medical domain. Research related to public health analysis and public conversations about the spread of COVID-19 on social media is one of the highlights of researchers in the world. People can analyze information from social media as supporting data about public health. Analyzing public conversations will help the relevant authorities understand public opinion and information gaps between them and the public, helping them develop appropriate emergency response strategies to address existing problems in the community during the pandemic and provide information on the population\u27s emotions in different contexts. However, research related to the analysis of public health and public conversations was so far conducted only through supervised analysis of textual data. In this study, we aim to analyze specifically the sentiment and topic modeling of Indonesian public conversations about the COVID-19 on Twitter using the NLP technique. We applied some methods to analyze the sentiment to obtain the best classification method. In this study, the topic modeling was carried out unsupervised using Latent Dirichlet Allocation (LDA). The results of this study reveal that the most frequently discussed topic related to the COVID-19 pandemic is economic issues
Efisiensi ISO 27001, ISO 9001, dan Standar LPSE pada Data Center dan e-Procurement Pemerintahan
No full textNational government and regional government are developing public service by communication and information network. Provided public service must be reliable, trusted, and reachable. To fulfil that, there are standards that need to be implemented for example ISO 27001, ISO 9001, and LPSE Standard. The purpose of this paper is to create efficiency in implementing ISO 27001, ISO 9001, and LPSE Standard with the scope of data center infrastructure and e-procurement service (LPSE). This paper uses qualitative method. The data obtained from primary and secondary data through a case study from government that has successfully implemented those standards. The result of this paper is mapping that shows intersection of similarity and difference between ISO 27001:2013, ISO 9001:2015, dan LPSE Standard and efficiency of document requirement which previously 50 to 24 documents only
Analisis Perbandingan Algoritma Decision Tree, kNN, dan Naive Bayes untuk Prediksi Kesuksesan Start-up
No full textStart-ups have a very important role in economic growth, the existence of a start-up can open up many new jobs. However, not all start-ups that are developing can become successful start-ups. This is because start-ups have a high failure rate, data shows that 75% of start-ups fail in their development. Therefore, it is important to classify the successful and failed start-ups, so that later it can be used to see the factors that most influence start-up success, and can also predict the success of a start-up. Among the many classifications in data mining, the Decision Tree, kNN, and Naïve Bayes algorithms are the algorithms that the authors chose to classify the 923 start-up data records that were previously obtained. The test results using cross-validation and T-test show that the Decision Tree Algorithm is the most appropriate algorithm for classifying in this case study. This is evidenced by the accuracy value obtained from the Decision Tree algorithm, which is greater than other algorithms, which is 79.29%, while the kNN algorithm has an accuracy value of 66.69%, and Naive Bayes is 64.21%
PERANCANGAN INTRUSION DETECTION SYSTEM MENGGUNAKAN HONEYPOT PADA UNIVERSITAS BHAYANGKARA JAKARTA RAYA
No full textInternet sudah menjadi bagian vital dari sebuah institusi yang membawa keuntungan yang besar bagi penggunanya tetapi disisi lain ada segelintir pengguna yang melakukan kegiatan yang mengambil keuntungan dari system lain dengan cara melakukan penyerangan dengan menggunakan berbagai software yang berbahaya seperti virus, worm, trojan horse, spyware dan lainnya.Honeypot system sering digunakan sebagai bagian dari system pendeteksi serangan (IDS, Intrusion Detection System) yang mampu mendeteksi ancaman yang terjadi pada sebuah jaringan komputer, keuntungan dari honeypot tidak hanya mendeteksi berbagai serangan tetapi dapat juga membuat sebuah system yang berpura-pura memiliki titik kelemahan yang sangat tinggi sehingga mudah diserang oleh malware. Dan jika malware menjalankan aktifitasnya system honeypot akan mencatat dan hasil dari catatannya dapat dianalisa guna menangani dan pemulihan selama dan setelah serangan terjadi.Universitas Bhayangkara Jakarta Raya (Ubhara Jaya) merupakan sebuah institusi dibawah Yayasan Brata Bakti yang memiliki kedekatan dengan POLRI, hubungan ini memiliki daya Tarik bagi penyerang karena mereka menyangka bahwa Ubhara Jaya adalah bagian dari POLRI dan dampaknya jaringan komputer Ubhara Jaya kerap mendapatkan serangan berupa malware bahkan pada Februari 2018 serangan tersebut sempat melumpuhkan jaringan dan sebagian sistem yang ada
Review of Maximum Power Point Tracking Control of Photovoltaic Systems in Case of Uniform & Non-uniform Irradiance Conditions
No full textIt is crucial to improve the photovoltaic (PV) system efficiency and to develop the reliability of PV generation control systems. One of the approaches to increase the efficiency of PV power generation system is to operate the PV systems optimally at the maximum power point. However, the PV system can be optimally operated only at a specific output voltage; otherwise the output power fluctuates under intermittent weather conditions. In addition, it is very difficult to test the performance of PV systems controller under the same weather condition during the development process where the field testing is costly and time consuming. For these reasons, the presentation is about the state of the art techniques to track the maximum available output power of photovoltaic systems called maximum power point tracking (MPPT) control systems. This topic could be also one of the most challenges in photovoltaic systems application that has been receiving much more attention worldwide. The talks will cover the application of intelligent techniques by means the artificial neural network (ANN) and fuzzy logic controller scheme using polar information to develop a novel real-time simulation technique for MPPT control by using dSPACE real-time interface system. In this case, the three-layer feed-forward ANN is trained once for different scenarios to determine the global MPP voltage and power and the fuzzy logic with polar information controller takes the global maximum power point (MPP) voltage as a reference voltage to generate the required control signal for the power converter. This type of fuzzy logic rules is implemented for the first time in MPPT control application. The proposed method has been tested using different solar cell technologies such as monocrystalline silicon, thin-film cadmium telluride and triple junction amorphous silicon solar cells. The verification of availability and stability of the proposed system through the real-time simulator shows that the proposed system can respond accurately for different scenarios and different solar cell technologies. In other cases, one of the main causes of reducing energy yield of photovoltaic systems is the partially shaded condition. Although the conventional MPPT control algorithms operate well in a uniform solar irradiance, they do not operate well in non-uniform solar irradiance conditions. The non-uniform conditions cause multiple local maximum power points on the power-voltage curve. The conventional MPPT methods cannot distinguish between the global and local peaks. Since the global power point may change within a large voltage window and also its position depends on shading patterns, it is very difficult to recognize the global operating point under partially shaded conditions. From these reasons, the presentation will address the effectiveness of the proposed MPPT method to solve the partially shaded conditions under the experimental real-time simulation technique based dSPACE real-time interface system for different size of PV arrays, such as 3x3(0.5kW) and 20x3(3.3kW) and different interconnected PV arrays, for instance series-parallel (SP), bridge link (BL) and total cross tied (TCT) configurations
Bacillus subtilis sp. B1, Chitinase Producing Isolated from Indonesian Tropical Shrimp Pond Waste Water
No full textTwenty-five bacterial strains isolated from shrimp farming ponds were screened for their growth activity on chitin as the sole carbon source. The highly chitinolytic bacterial strain was detected by qualitative cup plate assay and tentatively identified to be Bacillus subtilis sp. B1 based on 16S rDNA sequencing and by matching the key morphological, physiological, and biochemical characteristics. The cultivation of Bacillus subtilis sp. B1 in the suitable liquid medium resulted in the production of high levels of enzyme. The colloidal chitin, peptone, and K2HPO4 represented the best carbon, nitrogen, and phosphorus sources, respectively. Enzyme production by Bacillus subtilis sp. B1 was optimized by the Taguchi method. Our results demonstrated that inoculation amount and temperature of incubation were the most significant factors influencing chitinase production. From the tested values, the best pH/temperature was obtained at pH 4 and 40◦C, with values specific activity of chitinase to be 324.56 U/mg and 259.70 U/mg, respectively. In addition, the study of the morphological alteration of chitin treated by enzyme, indicating a potential application of this enzyme in several industries