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All Journal Jurnal Lahan Suboptimal Jurnal Akademika Biologi E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Pixel : Jurnal Ilmiah Komputer Grafis Elkom: Jurnal Elektronika dan Komputer Jurnal Akta PHARMACY: Jurnal Farmasi Indonesia (Pharmaceutical Journal of Indonesia) Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Teknologi Informasi dan Komunikasi Formosa Journal of Social Sciences (FJSS) Media Farmasi Indonesia Journal of Technology Informatics and Engineering JGuruku: Jurnal Penelitian Guru International Journal of Graphic Design Journal of Engineering, Electrical and Informatics
Budi Raharjo
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Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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EKPLORASI BAKTERI SELULOLITIK DARI CAIRAN RUMEN SAPI PERANAKAN FRIES HOLLAND (PFH) DAN LIMOUSINE PERANAKAN ONGOLE (LIMPO) Sekar Ayu Yogyaswari; MG. Isworo Rukmi; Budi Raharjo
Jurnal Akademika Biologi Vol. 5 No. 4 Oktober 2016
Publisher : Departemen Biologi, Fakultas Sains dan Matematika Undip

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Abstract

Cellulose is the largest component of plant materials which is the most abundant organic compound in nature. The degradation of cellulose carried out by cellulase enzymes which is consisting of three components, i.e. , endoglucanase, exoglucanase, and β-glucosidase with glucose as the end product. Cellulase is very useful in industry and agriculture, such as paper, beer and brewing industries, for improving the quality of forages, organic material decomposer, and play an important role in the bioconversion of cellulose into various chemical commodities. The aims of this study was to get cellulolytic bacteria from cow’s rumen fluid which has high cellulolytic activity. Isolation of cellulolytic bacteria from cow’s rumen fluid were done by direct plating on CMC media. The cellulolytic activity values of the bacterial isolates were examined by determining cellulolytic index. The determination of cellulase activity were carried out by DNS method while the total protein contents by Lowry method. Identification of the bacteria isolates were done by observation of colony morphology, microscopic observation, and biochemical tests. Six potential cellulolytic bacterias were obtained in this study and all isolates identified as Bacillus. The highest cellulase specific activity shown by Fh-9 and Lo-8 isolates in 8 hours incubation.Keywords: cellulolytic bacteria, cellulose, cellulase.
PERTUMBUHAN ISOLAT RHIZOBAKTERI PELARUT FOSFAT DARI TANAMAN PADI DI MAYONG, JEPARA PADA MEDIA LIMBAH RUMAH PEMOTONGAN HEWAN DAN AIR KELAPA Rutty Wulandari; Agung Suprihadi; Budi Raharjo
Jurnal Akademika Biologi Vol. 2 No. 2 April 2013
Publisher : Departemen Biologi, Fakultas Sains dan Matematika Undip

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Abstract

The farmers are now turning towards the use of biofertilizer. The biofertilizer is living microbes applied to the soil in order to help facilitate or provide certain nutrients for plants. Previous study found that B4 isolate has proven capable of solubilizing phosphate so that it could be used as an agent  that was inoculated in biofertilizer. The fertilizer can be formulated by modifying the alternative growth media in the liquid form that has potential, which is slaughterhouse waste and coconut water. Both  media contain organic matters which support the growth of bacteria. This study aimed to test the potential of slaughterhouse waste and coconut water as a medium for the growth of B4 isolate. Methods  of research conducted by Randomized Block Design, in which consists of five treatments namely P1 (100% coconut water), P2 (25% slaughterhouse waste & 75% coconut water), P3 (50% slaughterhouse waste & 50% coconut water), P4 (75% slaughterhouse waste & 25% coconut water), and P5 (100% slaughterhouse waste). The measured variable was the number of bacteria in the organic waste media during the 48 hours incubation period. Data on the number of bacteria was analysed by ANOVA  test  then  continued  with  Duncan  and  LSD  further  tests.  The  results  showed  that P4 treatment significantly different from other treatments, with the highest number of bacteria (1,9 x 1011CFU/mL) at 18 hours incubation. The density of bacterial population in the five formula medias every 3 hours during the 48 hours incubation period showed significantly different, except at 0, 3, 12, and 45 hours incubation. Key words: biofertilizer, phosphate, slaughterhouse waste, coconut water
AKTIVITAS SPESIFIK SELULASE Serratia marcescens DENGAN VARIASI KONSENTRASI AMONIUM SULFAT ((NH4)2SO4) DAN pH Prawatya Cahyani; W Wijanarka; Budi Raharjo
Jurnal Akademika Biologi Vol. 6 No. 2 April 2017
Publisher : Departemen Biologi, Fakultas Sains dan Matematika Undip

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Abstract

Cellulose is a component found in the cellular structure in almost all plant matter, its existence considered to be the most abundant on earth, and even excreted by some bacteria. Cellulose degradation is performed by cellulase enzymes consisting of three components, namely, endoglucanase, exoglucanase, and β-glucosidase enzyme with glucose as the final product. Cellulase utilization is often used in the textile, food and paper industries, whereas in the field of pharmaceuticals, cellulase enzymes are used to maintain optimal digestive health or produce substances that act as binding tablets such as methylcellulose, ethylcellulose, and hydroxypropylcellulose. The purpose of this study is to determine the concentration of ammonium sulfate and optimum pH for cellulose specific activity of Serratia marcescens. Determination of cellulase activity was done by DNS method, while determination of protein content was done by Lowry method. This research uses Randomized Block Design (RAK) factorial pattern with two factors. The first factor was variation of ammonium sulfate concentration which consisted of (0%, 0,75% and 1%). The second factor is the variation of pH consisting of 6, 7, and 8. Each factor is repeated 3 times. The data obtained were analyzed using Analysis Of Variance (ANOVA). The results showed that the combination of ammonium sulphate concentration variation with pH was not optimum to increase cellulose specific activity of S. marcescens.    Keywords: Cellulase, Ammonium sulfate, pH, Serratia marcescens
Biodegradasi Senyawa Hidrokarbon Oleh Strain Bacillus cereus(VIC) Pada Kondisi Salinitas Yang Berbeda Reza Auliarahman Bhaktinagara; Agung Suprihadi; Budi Raharjo
Jurnal Akademika Biologi Vol. 4 No. 3 Juli 2015
Publisher : Departemen Biologi, Fakultas Sains dan Matematika Undip

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Abstract

Bacillus cereus has been noted as hydrocarbonoclastic microbe that has ability to degrade hydrocarbons in non-saline conditions and some often to be found on high salinity environtment conditions. The purpose of this research is to determine the ability of strains Bacillus cereus (VIC) were isolated from non-saline environment to degrade hydrocarbons in crude oil on the different salinity condition. Bacillus cereus (VIC) was inoculated on the medium that has contaminated by crude oil with salinity level of 0,3 , 9,4 , dan 19,6 and incubated for 15 days. Determination of microbial growth is by using Total Plate Count (TPC) method along with determination of Total Petroleum Hydrocarbon (TPH) percentage using gravimetry method for every 5 day. The determination of microbial growth showed that Bacillus cereus (VIC) has the tolerancefor salinity level up to 19,6 because it is able to grow to a density of 6.9 x 106 CFU/ml on the 15th day. Bacillus cereus (VIC) is also able to degrades hydrocarbons on crude oil pollutants that indicated from degradation of TPH percentage in the medium up to 21% during 15 days incubation period on the medium with salinity level of 19,6 . Biodegradation using Bacillus cereus (VIC) can increase TPH degradation on the medium up to 19,8% than TPH degradation because of weathering. Keywords: Biodegradation, Bacillus cereus(VIC), Total Petroleum Hydrocarbon (TPH), Salinity.
EVALUASI KEPATUHAN DAN RESPON MUAL MUNTAH PENGGUNAAN ANTIEMETIK PADA PASIEN KANKER PAYUDARA YANG MENJALANI KEMOTERAPI DI RSUD PROF. DR. MARGONO SOEKARJO Wahyu Utaminingrum; Lukman Hakim; Budi Raharjo
PHARMACY: Jurnal Farmasi Indonesia (Pharmaceutical Journal of Indonesia) Jurnal Pharmacy, Vol. 10 No. 02 Desember 2013
Publisher : Pharmacy Faculty, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pji.v10i2.797

Abstract

ABSTRAK Kanker payudara merupakan salah satu kanker dengan insidensi terbanyak, terutama pada wanita. Perkembangan terapi banyak dilakukan untuk meningkatkan survival dan prognosis pasien kanker payudara. Variasi pilihan terapi kanker payudara diberikan dengan mempertimbangkan banyak faktor, meliputi usia, status menopausal, komorbid, stadium kanker, faktor biologis dan riwayat kemoterapi. Optimasi kualitas hidup selama terapi merupakan hal yang sangat penting. Chemotherapy Induced Nausea Vomitting (CINV) merupakan efek samping yang sering terjadi dan dapat mempengaruhi kualitas hidup pasien kanker yang melakukan kemoterapi. Penelitian ini bertujuan untuk Mengetahui respon mual muntah, kepatuhan pasien terhadap obat anti mual muntah yang diberikan dan hubungan antara kepatuhan penggunaan anti mual muntah dan respon mual muntah pasien kanker payudara di RSUD Prof. Dr. Margono Soekarjo terhadap obat anti mual muntah. Penelitian ini merupakan penelitian observasional yang dilakukan dengan rancangan studi deskriptif dan analitik melalui penelusuran data secara prospektif terhadap pasien kanker payudara di RSUD Prof. Dr. Margono Soekardjo. Hasil penelitian yang diperoleh menunjukkan bahwa Respon mual muntah merupakan respon terbanyak yang ditimbulkan oleh pemberian agen kemoterapi baik pada fase acute emesis (80%) dan delayed emesis (90%). Sebanyak 79% pasien patuh terhadap regimen antiemetik yang diberikan. Tidak ada hubungan antara kepatuhan penggunaan antiemetik dan respon mual muntah pada pasien kanker payudara di RSUD Prof. Dr. Margono Soekarjo. Kata kunci: kanker payudara, CINV, respon mual muntah, kepatuhan. ABSTRACT Breast cancer is one of the cancers with the highest incidence, especially in women. The development of therapy has been implemented to improve the survival and prognosis of breast cancer patients. Breast cancer treatment is given by considering many factors, including age, menopausal status, comorbidities, stage of cancer, biological factors and history of chemotherapy. Optimization of quality of life during treatment is very important. Chemotherapy Induced Nausea vomitting (CINV) is a common side effect and can affect the quality of life of cancer patients. The aims of this study are to know response of nausea vomitting, patients adherence, relationship between adherence and response of nausea vomitting. This study is an observational study conducted by descriptive and analytic study design in Prof. Dr. Margono Soekarjo hospital. The results of this study are the nausea and vomitting response are the most in the acute emesis phase (80%) and delayed emesis (90%). A total of 79% were adherent to antiemetics therapy. There is no relationship between adherence and the response of nausea vomitting in Prof. Dr. Margono Soekarjo hospital. Key words: breast cancer, chemotherapy induced nausea and vomitting, antiemetics response, adherence.
Kombinasi Obat Antituberkulosis Pasien Anak Rawat Jalan Askes di RSUD Prof.Dr.Margono Soekarjo Moeslich Hasanmihardja; Iskandar Sudirman; Budi Raharjo; Riris Nurmila D.
PHARMACY: Jurnal Farmasi Indonesia (Pharmaceutical Journal of Indonesia) Jurnal Pharmacy, Vol. 05 No. 01 April 2007
Publisher : Pharmacy Faculty, Universitas Muhammadiyah Purwokerto

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Abstract

Telah dilakukan penelitian tentang kombinasi obat antituberkulosis yang paling banyak digunakan pada pasien anak rawat jalan Askes di RSUD Prof.Dr. Margono Soekarjo Purwoketo. Tujuan penelitian ini adalah untuk mengetahui apakah kombinasi obat yang paling banyak digunakan tersebut berinteraksi. Data kombinasi obat diteliti dengan mengamati rekan medik pasien anak rawat jalan Askes. Data yang diambil meliputi pengamatan resep, tabulasi data yang kemudian dianalisis secara deskripstif non analitik. Hasil analisis menunjukan bahwa kombinasi obat antituberkulosis yang paling banyak digunakan adalah isoniazida dan rifampisin. Pasien yang diteliti sebanyak 179 pasien. 87,71% pasien potensial terjadi interaksi obat yang signifikan secara klinis, 49,04% mengalami kenaikan SGPT dan atau perbandingan SGOT terhadap SGPT akibat kombinasi obat, 1,29% manifes dan 1,29% meninggal. Dari hasil tersebut ternyata isoniazida dan rifamfisin mempunyai efek samping kombinasi obat hepatotoksik.
PENGGUNAAN ASSOSIATION RULE MINING DALAM PENETAPAN HARGA PROMOSI, STOK, DAN PENATAAN PRODUK PADA ETALASE Budi Raharjo
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 1 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i1.282

Abstract

In the first quarter of 2017, retail in Indonesia recorded a growth of 2.5%, while in 2018 the growth was only in the range of 1% -1.5%. The cause of the slow growth is the change in the consumption pattern of the people and it will continue at the beginning of 2018. In addition, the decreasing productivity of the community at the lower middle level. As a retailer, Anterah store also faces the same thing, so anticipating a decline in sales requires an analysis of the best-selling products and how to find out the relationship between the products purchased by consumers. The association relationship between these products will be used as the basis for product arrangement, so that the frequency of products that consumers often buy can be arranged closely together so that consumers do not have to look for them longer. Market basket analysis to determine the relationship between products sold simultaneously is used to explore association rules (Association Rule Mining) which will produce products that are purchased simultaneously as a consideration for product arrangement in Anterah Retail storefront. Meanwhile, the best-selling products will be explored using the Frequent Pattern Growth method in order to obtain a ranking list of the most purchased products by consumers. This analysis is used as a basis for considering product promotion. The test results on the sales sample data obtained an average value of minimum support = 0.0025, minimum confidence = 0.610, LaPlace = 0.9985, Gain = -0.006, p-s = 0.003, Lift = 103.82, Convicting 2.5285 with a processing time of 41.456 seconds.
5G NETWORK TRAFFIC FORECASTING USING MACHINE LEARNING Budi Raharjo; Mars Caroline Wibowo
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 13 No 2 (2022): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v13i2.850

Abstract

The idea of network chunks being described as virtual subsets of the physical resources of 5G infrastructure is used in standards for 5G communications. The efficiency of ML predictors for traffic prediction in 5G networks has been established in recent research so that it becomes to assess the capability demands of each network slice and to see how it progresses as a large number of network slices are deployed over a 5G network over time to be very important. The main objective of this research is to establish the model that has the potential to help network management and resource allocation in 5G networks with machine learning performance analysis in predicting network traffic on high-dimensional spatial-temporal cellular data, in addition to investigating the effectiveness of various neural network models in traffic prediction from univariate and multivariate perspectives. The research method used is a quantitative research method using correlation analysis, statistical analysis, and distribution analysis on the temporal and spatiotemporal frameworks developed to predict traffic from a univariate and multivariate perspective. To predict 24-hour mobile traffic requires combining spatial and temporal dependencies. The univariate analysis will be carried out by applying a temporal framework that includes FCSN, 1DCNN, SSLSTM and ARLSTM to capture temporal dependencies. The results of various experiments in this study show that the proposed spatiotemporal model outperforms the temporal model and other techniques in the mobile traffic forecasting literature including internet, SMS, and calls.
PERFORMANCE EVALUATION OF PENETRATION TESTING TOOLS IN DIVERSE COMPUTER SYSTEM SECURITY SCENARIOS Joseph Teguh Santoso; Budi Raharjo
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 13 No 2 (2022): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v13i2.851

Abstract

This study aims to scrutinize various tools and techniques employed in vulnerability assessment, to furnish a comprehensive guide regarding the efficacy of computer system penetration testing tools, and to offer a post-exploitation analysis approach to aid security professionals in selecting security tools. The increasing interconnectivity and complexity of computer systems in this ever-evolving digital age have led to the growing sophistication of cyber threats such as hacking, malware, and data theft. To counter these threats, penetration testing has become the primary method for securing computer systems. However, in diverse environments, efficient and adaptive penetration testing tools are needed. The selection of the right tools, with a focus on their efficiency in detecting vulnerabilities and providing mitigation solutions, is a paramount and highly crucial consideration. Additionally, post-exploitation analysis to develop more effective protection strategies after a successful attack is also becoming increasingly important. This research contributes to the fields of Communication Networks and System Security, offering insights into the challenges of selecting the right tools for penetration testers and underscoring the importance of vulnerability assessment in securing computer systems. The research approach employed comprises static analysis and manual analysis, encompassing techniques such as fingerprinting, vulnerability scanning, fuzzing, Nmap scanning, and the utilization of a database search tool called search-sploit. The results of this study indicate that the tools and techniques employed in this research can assist in identifying and mitigating vulnerabilities in computer systems. However, due to certain limitations, the research findings may not apply to diverse scenarios.
THREAT ATTRIBUTES HANGING IN THE WILD ANDROID Irda Yunianto; Mars Caroline Wibowo; Budi Raharjo
Journal of Technology Informatics and Engineering Vol 1 No 3 (2022): December: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i3.150

Abstract

Android is a complicated system that applications and component are usable and support for multiple work together, giving rise to highly complex interdependence relationships. Meanwhile, the Android environment is notable for being greatlty disparate and decentralized: different Operation System version is personalized and re-personalized by different parties about fast and used by whoever that can develop an application for that version. Android secure its explanation sources over an app sandbox and permissions model, where each application execution in this part can entrance only suspectible overall assets and another application component (value providers, services, activities, publication receivers) by the appropriate liscense. This study uses Harehunter measurement to automatically detect Hare vulnerabilities in Android system applications. Harehunter and HareGuard performance evaluations were carried out in this study, both of which proved to be highly effective. The approach used here is divergent investigation, by searching all quoted, decompiled script, and obvious data for targeted attribute determination as an initial step, and running an XML parser. The outcome of this research show that the impact of Hares is very significant. The application of HareGuard in this study proved to be effective in detecting all attack applications that were made. Further evaluation of the performance impact on the minimum system host. For future research, to make Harehunter more effective, it is suggested to use a more qualified analyzer. So that this direction can be explored in more depth.
Co-Authors Agung Suprihadi Aminuyati Anak Agung Istri Sri Wiadnyani Anindita Ayu Pratiwi Annisaa Widyasari Anto Budiharjo Antonius Sarjiya Bastaman, Aam Devi Ayu Ningsih Editha Praditya Duarte Endang Kusdiyantini Hadi Ali intan sari Irda Yunianto Iskandar Sudirman Joseph Teguh Santoso Khoirul Huda Kristiani Dwiatmi Mamik Setyowati MG Isworo Rukmi Moeslich Hasanmihardja Nur Cahyanti Nur Sabrina Hasyyati Prawatya Cahyani Prayogo, Fitra Adi Priyo Pratomo PRIYO WAHYUDI Reza Auliarahman Bhaktinagara Riris Nurmila D. Rutty Wulandari Sarjito, Aris Sekar Ayu Yogyaswari Setiawan Wicaksono Sih Parmiyatmi Sofyan Fauzi Larosa Sri Endah Wahyuningsih Sri Handoko Sri Haryanti Sumaryanto Sumaryanto w wijanarka Wahyu Utaminingrum Wibowo, Mars Caroline Yanter Hutapea Yuli Fitriyanto