bluuebunny/crossref_metadata_2025 huggingface dataset:
Correlation of reference and generic fluconazole-based drugs
Authors: Dukhanin A. S.
Published: April 2020

The article describes the basic rules for the selection of a systemic antifungal drug from the fluconazole-based preparations available on the Russian pharmaceutical market. Questions of interchangeability of generic and original drugs, research of equivalence (pharmaceutical, pharmacokinetic), possible methodological difficulties of its estimation are discussed. Data on comparative analysis of original and generic fluconazole drugs are presented. The algorithm of rational choice of a drug on an example of fluconazole is formulated, property of a drug to suppress selectively activity of fungi of genusCandida, not showing hepatotoxic drugs, and also questions of correlation between reference and generic drugs on the basis of fluconazole is considered. The Federal Law “On Amendments to the Federal Law “On Circulation of Medicines“ No. 429-FZ (adopted on December 22, 2014 and entered into force on July 1, 2015) regarding the establishment of the procedure for determining the interchangeability of drugs, states: “Information on the interchangeability of drugs shall be included in the State Register of Medicines from January 1, 2018“. The law discloses the notion of interchangeable drugs, which “means a drug with proven therapeutic equivalence or bioequivalence regarding reference drugs, having equivalent qualitative formula and quantitative composition of active substances, formula and method of administration“. However, some definitions used so far in the law have been changed. Thus, instead of the term “original medicine“ the term “reference drug“ is used from July 1, 2015, which is defined as a medicine first registered in the Russian Federation, the quality, efficacy and safety of which has been proved based on the results of preclinical and clinical studies, and which is used to assess the bioequivalence or therapeutic equivalence, quality, efficacy and safety of generic or bioanalogue medicine. However, this article still uses the terms “original“ and “generic“ drugs, which are familiar to our medical community.
Developing and Applying a Formative Evaluation Framework for Health Information Technology Implementations: Qualitative Investigation
Authors: Cresswell Kathrin , Williams Robin , Sheikh Aziz
Published: April 2020

Background

There is currently a lack of comprehensive, intuitive, and usable formative evaluation frameworks for health information technology (HIT) implementations. We therefore sought to develop and apply such a framework. This study describes the Technology, People, Organizations, and Macroenvironmental factors (TPOM) framework we developed.

Objective

The aim was to develop and apply a formative evaluation framework for HIT implementations, highlighting interrelationships between identified dimensions and offering guidance for implementers.

Methods

We drew on an initial prototype framework developed as part of a literature review exploring factors for the effective implementation of HIT. In addition, we used qualitative data from three national formative evaluations of different HIT interventions (electronic health record, electronic prescribing, and clinical decision support functionality). The combined data set comprised 19 case studies of primarily hospital settings, and included 703 semistructured interviews, 663 hours of observations, and 864 documents gathered from a range of care settings across National Health Service (NHS) England and NHS Scotland. Data analysis took place over a period of 10 years and was guided by a framework informed by the existing evidence base.

Results

TPOM dimensions are intimately related and each include a number of subthemes that evaluators need to consider. Although technological functionalities are crucial in getting an initiative off the ground, system design needs to be cognizant of the accompanying social and organizational transformations required to ensure that technologies deliver the desired value for a variety of stakeholders. Wider structural changes, characterized by shifting policy landscapes and markets, influence technologies and the ways they are used by organizations and staff.

Conclusions

The TPOM framework supports formative evaluations of HIT implementation and digitally enabled transformation efforts. There is now a need for prospective application of the TPOM framework to determine its value.
Deep Learning Frameworks for Rapid Gram Stain Image Data Interpretation: Protocol for a Retrospective Data Analysis
Authors: Kim Hee , Ganslandt Thomas , Miethke Thomas , Neumaier Michael , Kittel Maximilian
Published: April 2020

Background

In recent years, remarkable progress has been made in deep learning technology and successful use cases have been introduced in the medical domain. However, not many studies have considered high-performance computing to fully appreciate the capability of deep learning technology.

Objective

This paper aims to design a solution to accelerate an automated Gram stain image interpretation by means of a deep learning framework without additional hardware resources.

Methods

We will apply and evaluate 3 methodologies, namely fine-tuning, an integer arithmetic–only framework, and hyperparameter tuning.

Results

The choice of pretrained models and the ideal setting for layer tuning and hyperparameter tuning will be determined. These results will provide an empirical yet reproducible guideline for those who consider a rapid deep learning solution for Gram stain image interpretation. The results are planned to be announced in the first quarter of 2021.

Conclusions

Making a balanced decision between modeling performance and computational performance is the key for a successful deep learning solution. Otherwise, highly accurate but slow deep learning solutions can add value to routine care.

International Registered Report Identifier (IRRID)

DERR1-10.2196/16843
An Individual Cognitive Stimulation Therapy App for People With Dementia: Development and Usability Study of Thinkability
Authors: Rai Harleen Kaur , Schneider Justine , Orrell Martin
Published: April 2020

Background

There is a lack of technological resources for the mental stimulation and communication of people with dementia, which can be helpful in improving cognition and quality of life. Paper-based individual cognitive stimulation therapy (iCST) for people with dementia has the potential to be adapted to a touchscreen format. This can improve accessibility and provide mental stimulation using interactive features. There is a need for a rigorous and systematic approach toward development, leading to improved suitability and implementation of the intervention, so that more people can benefit from its use.

Objective

This study aims to develop and investigate the usability of Thinkability, an iCST app that can be used by people with dementia and carers on touchscreen tablets.

Methods

The Medical Research Council framework for evaluating complex interventions and the Centre for eHealth Research roadmap served as frameworks for the stages of intervention and technology development. The development of the iCST app itself adopted an agile approach with elements from action research. Hence, it was developed in 3 successive sprints and was evaluated by relevant stakeholders at each sprint. Sprint 1 included 2 patient and public involvement (PPI) consultation meetings, sprint 2 included 1 PPI consultation meeting, and 4 focus groups and 10 individual interviews were organized in sprint 3. A feasibility trial is currently underway.

Results

The findings from each sprint were used to inform the development. Sprint 1 helped to identify the relevant evidence base and explored the attitudes of people with dementia and carers toward a potential iCST app. In sprint 2, an initial prototype was evaluated in a small PPI consultation meeting. In sprint 3, feedback was gathered through a qualitative study on the quality and perceived effectiveness of the iCST app. It was well received by people with dementia and carers. A need for more updated and personalized content was highlighted.

Conclusions

This study proves that an agile approach toward technology development involving all relevant stakeholders is effective in creating suitable technology. Adding to our previous knowledge of noncomputerized cognitive stimulation therapy, the release of the iCST app will make this psychosocial intervention accessible to more users worldwide.
Predicting Breast Cancer in Chinese Women Using Machine Learning Techniques: Algorithm Development
Authors: Hou Can , Zhong Xiaorong , He Ping , Xu Bin , Diao Sha , Yi Fang , Zheng Hong , Li Jiayuan
Published: April 2020

Background

Risk-based breast cancer screening is a cost-effective intervention for controlling breast cancer in China, but the successful implementation of such intervention requires an accurate breast cancer prediction model for Chinese women.

Objective

This study aimed to evaluate and compare the performance of four machine learning algorithms on predicting breast cancer among Chinese women using 10 breast cancer risk factors.

Methods

A dataset consisting of 7127 breast cancer cases and 7127 matched healthy controls was used for model training and testing. We used repeated 5-fold cross-validation and calculated AUC, sensitivity, specificity, and accuracy as the measures of the model performance.

Results

The three novel machine-learning algorithms (XGBoost, Random Forest and Deep Neural Network) all achieved significantly higher area under the receiver operating characteristic curves (AUCs), sensitivity, and accuracy than logistic regression. Among the three novel machine learning algorithms, XGBoost (AUC 0.742) outperformed deep neural network (AUC 0.728) and random forest (AUC 0.728). Main residence, number of live births, menopause status, age, and age at first birth were considered as top-ranked variables in the three novel machine learning algorithms.

Conclusions

The novel machine learning algorithms, especially XGBoost, can be used to develop breast cancer prediction models to help identify women at high risk for breast cancer in developing countries.
An Evidence-Based, Nursing Handover Standard for a Multisite Public Hospital in Switzerland: Web-Based, Modified Delphi Study
Authors: Tacchini-Jacquier Nadine , Hertzog Hélène , Ambord Kilian , Urben Peter , Turini Pierre , Verloo Henk
Published: April 2020

Background

Ineffective communication procedures create openings for errors when health care professionals fail to transfer complete, consistent information. Deficient or absent clinical handovers, or failures to transfer information, responsibility, and accountability, can have severe consequences for hospitalized patients. Clinical handovers are practiced every day, in many ways, in all institutional health care settings.

Objective

This study aimed to design an evidence-based, nursing handover standard for inpatients for use at shift changes or internal transfers between hospital wards.

Methods

We carried out a modified, multiround, web-based, Delphi data collection survey of an anonymized panel sample of 264 nurse experts working at a multisite public hospital in Switzerland. Each survey round was built on responses from the previous one. The surveys ended with a focus group discussion consisting of a randomly selected panel of participants to explain why items for the evidence-based clinical nursing handover standard were selected or not selected. Items had to achieve a consensus of ≥70% for selection and inclusion.

Results

The study presents the items selected by consensus for an evidence-based nursing handover standard for inpatients for use at shift changes or internal transfers. It also presents the reasons why survey items were or were not included.

Conclusions

This modified Delphi survey method enabled us to develop a consensus- and evidence-based nursing handover standard now being trialed at shift changes and the internal transfers of inpatients at our multisite public hospital in Switzerland.
Detecting Screams From Home Audio Recordings to Identify Tantrums: Exploratory Study Using Transfer Machine Learning
Authors: O'Donovan Rebecca , Sezgin Emre , Bambach Sven , Butter Eric , Lin Simon
Published: April 2020

Background

Qualitative self- or parent-reports used in assessing children’s behavioral disorders are often inconvenient to collect and can be misleading due to missing information, rater biases, and limited validity. A data-driven approach to quantify behavioral disorders could alleviate these concerns. This study proposes a machine learning approach to identify screams in voice recordings that avoids the need to gather large amounts of clinical data for model training.

Objective

The goal of this study is to evaluate if a machine learning model trained only on publicly available audio data sets could be used to detect screaming sounds in audio streams captured in an at-home setting.

Methods

Two sets of audio samples were prepared to evaluate the model: a subset of the publicly available AudioSet data set and a set of audio data extracted from the TV show Supernanny, which was chosen for its similarity to clinical data. Scream events were manually annotated for the Supernanny data, and existing annotations were refined for the AudioSet data. Audio feature extraction was performed with a convolutional neural network pretrained on AudioSet. A gradient-boosted tree model was trained and cross-validated for scream classification on the AudioSet data and then validated independently on the Supernanny audio.

Results

On the held-out AudioSet clips, the model achieved a receiver operating characteristic (ROC)–area under the curve (AUC) of 0.86. The same model applied to three full episodes of Supernanny audio achieved an ROC-AUC of 0.95 and an average precision (positive predictive value) of 42% despite screams only making up 1.3% (n=92/7166 seconds) of the total run time.

Conclusions

These results suggest that a scream-detection model trained with publicly available data could be valuable for monitoring clinical recordings and identifying tantrums as opposed to depending on collecting costly privacy-protected clinical data for model training.
Developing a Plan for the Sustainable Implementation of an Electronic Health Intervention (Partner in Balance) to Support Caregivers of People With Dementia: Case Study
Authors: Christie Hannah Liane , Boots Lizzy Mitzy Maria , Peetoom Kirsten , Tange Huibert Johannes , Verhey Frans Rochus Josef , de Vugt Marjolein Elizabeth
Published: April 2020

Background

Given the increasing use of digital interventions in health care, understanding how best to implement them is crucial. However, evidence on how to implement new academically developed interventions in complex health care environments is lacking. This case study offers an example of how to develop a theory-based implementation plan for Partner in Balance, an electronic health (eHealth) intervention to support the caregivers of people with dementia.

Objective

The specific objectives of this study were to (1) formulate evidence-based implementation strategies, (2) develop a sustainable business model, and (3) integrate these elements into an implementation plan.

Methods

This case study concerns Partner in Balance, a blended care intervention to support the caregivers of people with dementia, which is effective in improving caregiver self-efficacy, quality of life, and experienced control. The large-scale implementation of Partner in Balance took place in local dementia case-management services, local care homes, dementia support groups, and municipalities. Experiences from real-life pilots (n=22) and qualitative interviews with national stakeholders (n=14) were used to establish an implementation plan consisting of implementation strategies and a business model.

Results

The main finding was the need for a business model to facilitate decision-making from potential client organizations, who need reliable pricing information before they can commit to training coaches and implementing the intervention. Additionally, knowledge of the organizational context and a wider health care system are essential to ensure that the intervention meets the needs of its target users. Based on these findings, the research team formulated implementation strategies targeted at the engagement of organizations and staff, dissemination of the intervention, and facilitation of long-term project management in the future.

Conclusions

This study offers a theory-based example of implementing an evidence-based eHealth intervention in dementia health care. The findings help fill the knowledge gap on the eHealth implementation context for evidence-based eHealth interventions after the trial phase, and they can be used to inform individuals working to develop and sustainably implement eHealth.
Assessing Hand Hygiene and Low-Level Disinfection of Equipment Compliance in an Acute Care Setting: Mixed Methods Approach
Authors: Akram Hammad , Andrews-Paul Alison , Washburn Rachel
Published: April 2020

Background

Hand hygiene and low-level disinfection of equipment behaviors among hospital staff are some of the leading cost-effective methods to reduce hospital-acquired infections (HAI) among patients.

Objective

The aim of this study is to examine hand hygiene and low-level disinfection of equipment practices in a central Texas hospital and to explore pertaining gaps, perceptions, and challenges.

Methods

Data were collected using a multipronged mixed methods approach that included the following: (1) observation of hand hygiene and low-level disinfection practices (12 and 8 units during morning and evening shifts, respectively); (2) observation of usability/placement of hand sanitizer dispensers; (3) semistructured interviews; and (4) a follow-up email survey.

Results

In total, 222 (156 morning shift and 66 evening shift) staff members were observed. Of 526 hand hygiene and 33 low-level disinfection opportunities, compliance was observed 410 (78%) and 17 (51%) times, respectively. Overall, 6 units (50%) had ≥0.80 (favorable) hand hygiene compliance during the morning shift and 2 units (25%) had ≥0.80 hand hygiene compliance during the evening shift. Aggregated low-level disinfection compliance was 0.54 during the morning and 0.33 during the evening. Overall, the odds of noncompliant hand hygiene behavior were 1.4 times higher among staff who worked during night shifts compared to day shifts; however, this relationship was not statistically significant (95% CI 0.86-2.18; P=.18). Noncompliant behavior was most likely among unit B staff during the evening; however, this relationship was not statistically significant (OR 5.3, 95% CI 0.84-32.9; P=.07) All units, except one, had similar hand sanitizer dispenser usability characteristics. In the qualitative part of the study, the following challenges were identified: “shortage of time while seeing patients,” “sometimes the staff forgets,” “concern about drying hands,” “behavior is difficult or requires reminders,” and “there may be issues with resources or access to supplies to perform these behaviors.” Staff also stated that “a process that is considered effective is the Stop the Line program,” and that the “behavior is easy and automatic.”

Conclusions

Hand hygiene and low-level disinfection compliance is dependent on several personal and nonpersonal factors. Issues such as time constraints, peer pressure, work culture, available resources, and understanding of guidelines could influence staff behavior. The information collected through this study can be used to re-examine similar or related issues at a larger scale.
Knowledge and Perceptions of COVID-19 Among Health Care Workers: Cross-Sectional Study
Authors: Bhagavathula Akshaya Srikanth , Aldhaleei Wafa Ali , Rahmani Jamal , Mahabadi Mohammadjavad Ashrafi , Bandari Deepak Kumar
Published: April 2020

Background

During the first week of March, the coronavirus disease 2019 (COVID-19) outbreak reached more than 100 countries with over 100,000 cases. Health care authorities have already initiated awareness and preparedness activities worldwide. A poor understanding of the disease among health care workers (HCWs) may result in delayed treatment and result in the rapid spread of the infection.

Objective

This study aimed to investigate the knowledge and perceptions of HCWs about COVID-19.

Methods

A cross-sectional, web-based study was conducted among HCWs about COVID-19 during the first week of March 2020. A 23-item survey instrument was developed and distributed randomly to HCWs using social media; it required 5 minutes to complete. A chi-square test was used to investigate the level of association among variables, with significance set to P<.05.

Results

Of 529 participants, a total of 453 HCWs completed the survey (response rate: 85.6%); 51.6% (n=234) were male, 32.1% (n=147) were aged 25-34 years, and most were doctors (n=137, 30.2%) and medical students (n=134, 29.6%). Most participants (n=276, 61.0%) used social media to obtain information on COVID-19. A significant proportion of HCWs had poor knowledge of its transmission (n=276, 61.0%) and symptom onset (n=288, 63.6%) and showed positive perceptions of COVID-19. Factors such as age and profession were associated with inadequate knowledge and a poor perception of COVID-19.

Conclusions

As the global threat of COVID-19 continues to emerge, it is critical to improve the knowledge and perceptions of HCWs. Educational interventions are urgently needed to reach HCWs worldwide, and further studies are warranted.
Internet, COVID-19 and Mental Health: Information and Misinformation (Preprint)
Authors: Da Silva Edson , Toledo Marileila Marques
Published: April 2020

UNSTRUCTURED

As the number of confirmed cases of and deaths from COVID-19 grows fast, the health team and the general public are facing psychological suffering, including anxiety, depression, stress, anguish, boredom, loneliness, anger and suicide. These problems worsen when added to the consequences of the misinformation overload, which has spread uncertainty, fear, anxiety and racism on the internet on a scale never seen in previous epidemics, such as severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) and Zika. In this sense, the purpose of this Viewpoint article is to reflect this context, including the need for strategies to be developed by governments, health institutions, technology and communication companies to combat the ongoing pandemic.
Comparison of Transmissibility of Coronavirus Between Symptomatic and Asymptomatic Patients: Reanalysis of the Ningbo COVID-19 Data (Preprint)
Authors: Yin Guosheng , Jin Huaqing
Published: April 2020

BACKGROUND

Since the outbreak of the novel coronavirus disease (COVID-19) in December 2019, the coronavirus has spread all over the world at an unprecedented rate. The transmissibility of the coronavirus from asymptomatic patients to healthy individuals has received enormous attention. An important study using COVID-19 data from the city of Ningbo, China, was carried out to estimate and compare the transmission rates of the coronavirus by the symptomatic and asymptomatic patients. However, in the original analysis, the usual chi-square tests were unduly used for some contingency tables with small cell counts including zero, which may violate the assumptions for the chi-square test.

OBJECTIVE

We reanalyze the data from the city of Ningbo with more appropriate statistical methods to draw more reliable and sound conclusions on the transmission rates of the coronavirus by the symptomatic and asymptomatic patients.

METHODS

We excluded the cases associated with the super-spreader and adopted a more appropriate statistical method, including the permutation test and the Fisher exact test, to reanalyze the COVID-19 data from the city of Ningbo.

RESULTS

After excluding the cases related to the super-spreader, the Fisher exact test yields a P value of .84, which indicates stronger evidence of no difference in the transmission rates compared with the original analysis. The odds ratio of the coronavirus transmission rates between the symptomatic and asymptomatic patients is 1.2 with a 95% confidence interval 0.5-2.8.

CONCLUSIONS

Through a more in-depth and comprehensive statistical analysis of the Ningbo data, we concluded that there is no difference in the transmission rates of coronavirus between symptomatic and asymptomatic patients.
Sistem Pendukung Keputusan Pemilihan Tanaman Obat untuk berbagai Macam Penyakit Menggunakan Metoda FUZZY di Toko Miswar Flora (Studi Kasus : Penyakit Demam)
Authors: Gustina Dian , Diantoro Karno
Published: April 2020

Dengue Fever is a disease that often attacks the community. Sufferers of Dengue Fever are increasing every year. In this case natural treatments are still widely found drugs that can cure Dengue Fever and Typhoid Fever (tipes), to produce which medicinal plants are good, and examples according to Dengue Fever and Typhoid disease (typhus) still experience trouble. To overcome the selection of the right medicinal plants, a decision support system was created using Fuzzy Logic, Fuzzy Mamdani using Matlab system test aids. The method used in decision making is the fuzzy method. The method is because the fuzzy method can be used in making multi-criteria decisions and quite well in solving identification problems that require many criteria. On the results of testing existing data obtained data by comparison between data and processes in the matlab application, the valid level of application testing is 94.4%. Based on the results of the test carried out in this study, the Decision Support System is expected to help the community to determine the symptoms that arise so that it can be known about the fever between dengue fever and typhoid (typhus) so that the selection of medicinal plants is appropriate and can be used.
Aplikasi Data Mining untuk Clustering Daerah Penyebaran Penyakit Diare di DKI Jakarta Menggunakan Algoritma K-MEANS
Authors: Santos Teguh Budi
Published: April 2020

Diarrhea is a disease that makes sufferers defecate more than 4 times, diarrhea usually strikes all people, including toddlers, teens and adults. The increasing population density in DKI Jakarta Province in 2017 around 10,177,924 inhabitants spread over 6 cities consisting of 44 districts and 267 villages. To be able to see the area of diarrhea distribution, it is necessary to make a grouping based on the attributes used consisting of JSP, JSSP, SHARING and OD in order to obtain the center of the diarrhea spread point. K-Means algorithm is very suitable in clustering the spread of diarrhea Kelurahan. To determine the centroid starting point based on diarrhea sufferers as a parameter in determining C1, C2 and C3 which get C1 is Duren Tiga Village, C2 is Kebon Baru Village and C3 is Bendungan Hilir Village. The results of grouping based on the attributes used get C1 totaling 11 Kelurahans, C2 totaling 34 Kelurahans and C3 totaling 43 Kelurahans from 88 Kelurahan data used in which C1 is categorized as a diarrhea prone point, C2 is categorized as a possible spread of diarrhea and C3 is categorized as a Kelurahan that is safe from spread of diarrhea.
Analisis Sentimen Data Twitter Tentang Pasangan Capres-Cawapres Pemilu 2019 Dengan Metode Lexicon Based Dan Support Vector Machine
Authors: Seno Danar Wido , Wibowo Arief
Published: April 2020

Social media writing content growing make a lot of new words that appear on Twitter in the form of words and abbreviations that appear so that sentiment analysis is increasingly difficult to get high accuracy of textual data on Twitter social media. In this study, the authors conducted research on sentiment analysis of the pairs of candidates for President and Vice President of Indonesia in the 2019 Elections. To obtain higher accuracy results and accommodate the problem of textual data development on Twitter, the authors conducted a combination of methods to conduct the sentiment analysis with unsupervised and supervised methods. namely Lexicon Based. This study used Twitter data in October 2018 using the search keywords with the names of each pair of candidates for President and Vice President of the 2019 Elections totaling 800 datasets. From the study with 800 datasets the best accuracy was obtained with a value of 92.5% with 80% training data composition and 20% testing data with a Precision value in each class between 85.7% - 97.2% and Recall value for each class among 78, 2% - 93.5%. With the Lexicon Based method as a labeling dataset, the process of labeling the Support Vector Machine dataset is no longer done manually but is processed by the Lexicon Based method and the dictionary on the lexicon can be added along with the development of data content on Twitter social media.
Prototype E-Order pada Restoran Bebek Goreng Haji Yogi Menggunakan Metode PIECES
Authors: Manikam Ratna Mutu , Ardiyansah Muhammad
Published: April 2020

Restoran Bebek Goreng Haji Yogi adalah suatu usaha restoran yang berkembang Bebek Goreng Haji Yogi Restaurant is a restaurant business that develops in the West Jakarta area. The fried haji yogi duck restaurant serves a variety of menus with the main ingredients of duck meat. During this time, the system that runs in restaurants still uses notes of paper on consumer orders. Losing sheet paper transactions will have an impact on not fulfilling consumer orders and will worsen service. The application of a computerized system at Bebek Goreng Haji Yogi Restaurant is needed to provide effective ordering services to customers and make it easier to make reports. The analytical method used uses the pieces and supporting software methods to design using PHP, MySQL and balsamiq programming languages. The aim is to increase the effectiveness of orders to customers. So that the E-Order service information system can simplify ordering and minimize customers in queuing for food orders so they can minimize data error in recording product sales transaction data.
Analisa Perancangan Sistem Persediaan Bahan Baku Pada Perusahaan Farmasi
Authors: Nauli Sukarno Bahat
Published: April 2020

The development of technology in the field of information encourages each agency or company to keep abreast of its development, especially with regard to the development of information technology that has to do with the activities of the company. Pharmaceutical companies which produce drugs to provide goods for pharmacies and hospitals are very important to record the availability of drugs that are still feasible and drugs that have expired. So that the drug supply can be maintained and can be distributed with the needs of the drug properly. This study aims to design a Raw Material Inventory Information System in Pharmaceutical Companies to solve problems that occur in the current system. Raw Material Inventory System Design in Pharmaceutical Companies using Data Base Design and System Interface Design.
IDENTIFIKASI KEBUTUHAN KONSUMEN DAN PENGENALAN PROSES QFD UNTUK MEMBANTU PROSES PENGEMBANGAN PRODUK PADA MASYARAKAT INDUSTRI MENENGAH DI KRANGGAN
Authors: Kartika Hayu , Izzati Titia
Published: April 2020

Industri kecil dan menengah memiliki peranan yang penting yang secara langsung membantu peningkatan perekonomian wilayah sekitar, dan memiliki kontribusi secara signifikan dalam perkonomian nasional. Sumber daya manusia merupakan salah satu kendala serius bagi IKM terutama dalam aspek manajemen, teknik produksi atau inovasi produk. Kurangnya keahlian dalam teknik produksi dan pengembangan produk. Berdampak pada tingkat efisiensi, daya saing (daya jual), produktifitas, dan cost effectiveness. Pengabdian masyarakat kali ini akan difokuskan pada masyarakat Industri Menengah di Kranggan untuk kecamatan Jati Sampurna. Industri menegah ini bergerak di bidang Jasa Pelayanan. Setelah penyuluhan ini, diharapkan mampu meningkatkan hasil dan pelayanan sesuai dengan keinginankonsumen sehingga memiliki daya saing dengan mengunakan proses QFD.
PENGENALAN TEKNOLOGI 5G (Generasi ke 5) PADA SEBUAH SISTEM ANTENA UNTUK SISWA/I SMA DI KEMBANGAN UTARA UNIVERSITAS MERCU BUANA JAKARTA BARAT
Authors: Firdausi Ahmad
Published: April 2020

Pengabdian Masyarakat hasil penelitian yang dilaksanakan pada Semester Ganjil Tahun Akademik 2018/2019 Pengenalan Teknologi 5G (Generasi ke 5) pada sebuah system antenna untuk siswa SMA di Kembangan Utara. Pengabdian masyarakat hasil penelitian ini akan dilaksanakan di laboratorium Teknik Elektro Universitas Mercu Buana Jakarta..Tujuan Pengabdian Masyarakat hasil penelitian ini Setelah melaksanakan presentasi di hadapan para praktisi khususnya yang ada di bidang information technology di harapkan para peserta dapat mengetauhi dan menjelaskan teknologi yang sat ini sedang berkembang di semua negara untuk berlomba-lomba untuk meneliti teknologi 5G dan mengetauhi saat ini sudah sampai mana untuk teknologi 5G itu sendiri. Hasil akhir yang akan dicapai dalam pengabdian masyarakat hasil penelitian ini adalah peserta diharapkan dapat memahami materi presentasi dengan baik dan mengerti tentang teknologi 5G dan system antenna 5G
PEMBUATAN WADAH TANAM APOTIK HIDUP DARI MATERIAL BAMBU DI LINGKUNGAN RT 06 RW 08, KELURAHAN JATIRADEN, KOTA BEKASI
Authors: Hutama Lutfi , Mardiani Ririn Aprilia
Published: April 2020

Di era saat ini, Arsitektur lansekap dituntut untuk lebih berkontribusi dalam membangun lingkungan perumahan permukiman dan perkotaan yang teteap ramah bagi ekosistem sekitarnya. Di lingkungan perumahan saat ini, mulai daritingkat Rukun Tetangga (RT) hingga Rukun Warga (RW), telah banyak digalakkan peneneman apotik hidup. Apotik hidup adalah pemanfaatan sebagian tanah untuk ditanami tanaman obat-obatan untuk keperluan sehari-hari. Salah satu lingkungan perumahan yang memiliki lahan apotik hidup adalah lingkungan RT 06 RW 08, Kelurahan Jatiraden, Kota Bekasi. Melihat hal tersebut, program studi Arsitektur tergerak untuk turut menyumbangkan wawasan keilmuan dalambidang Arsitektur Lansekap. Bentuk pengabdian yang akan dilakukan adalah pembuatan lansekap taman tanaman apotik hidup. Pada kegiatan pengabdian masyarakat yang akan dilakukan ini akan berfokus pada pengikutsertaanmasyarakat dalam pembuatan media tanam tanaman apotik hidup yang berbahan material bambu yang mudahdidapatkan.
KREASI AKTIF WANITA LANSIA DI KELURAHAN MERUYA SELATAN
Authors: Stephani Suzan Bernadetha , Parashakti Ryani Dhyan , Sari Alvita
Published: April 2020

Proses menua dapat terlihat secara fisik dengan perubahan yang terjadi pada tubuh dan berbagai organ serta penurunan fungsi tubuh serta organ tersebut. Lanjut usia yang masih aktif dan memiliki keadaan fisik yang masih mampu bergerak tanpa bantuan orang lain sehingga dalam kebutuhannya sehari-hari ia masih mampu melakukannya sendiri. Berbagai aktifitas yang dapat membuat wanita lansia lebih tinggi nilai AHH disbanding pria, seperti kreasi tangan dari berbagai barang tidak terpakai atau pun senam untuk kesehatan. Kegiatan ini juga merupakan dukungan dari kami akademisi terhadap focus bidang kesehatan pada Hari Lanjut Usia Nasional ke 23 tahun 2018, pertama diperlukan kerjasama baik lintas program maupun lintas sektor, akademisi, kepala daerah, pelaku usaha, organisasi masyarakat, dalam membangun pemahaman public akan pentingnya hidup sehat, serta menjalankan perilaku hidup sehat dan yang kedua mewujudkan lansia sehat dan mandiri melalui keluarga sehat
MODEL BAK SAMPAH MIKRO LINGKUNGAN DI KELURAHAN KEMBANGAN UTARA
Authors: Simatupang Pintor T , Meidiyanto Hari , Leksana Tri
Published: April 2020

Seperti halnya pengembangan perkotaan, maka pengembangan kawasan permukiman dan penyediaan prasarana dan sarananya sangat berkaitan dengan kebutuhan lahan (ruang). Penyediaan lahan (ruang) permukiman sebagai bagiandari kawasan skala besar, umumnya juga telah diatur dalam Rencana Tata Ruang Wilayah (Provinsi, Bagian Kota, dan detail tata ruang turunannya). Pengertian tentang permukiman yakni: “Permukiman adalah bagian permukaan bumi yang dihuni manusia meliputi segala sarana dan prasarana yang menunjang kehidupannya yang menjadi satu kesatuan dengan tempat tinggal yang bersangkutan”. Masyarakat yang peduli civitas akademi juga memiliki tanggung jawab moral dalam menangani dan membuat target pencapaian dalam pemecahan masalah sarana dan prasarana tersebut khususnya tentang model bak sampah mikro lingkungan melalui keilmuan dan pengetahuan yang dimiliki.
Preventive maintenance pada mesin die casting dengan age replacement model untuk peningkatan reliabilitas mesin
Authors: Andriani Andriani , Romli Ikhsan
Published: April 2020

In an industry, the maintenance department plays a very important role in ensuring the smooth production process. The method of machine maintenance with preventive maintenance is a strategy that can be used to repair existing machines. This is related to proper and regular maintenance can improve engine performance and reduce the level of engine damage which will increase the continuity of production activities. In the die casting division of PT Astra Honda Motor in the observation on the die casting machine 07 there were 45 times damage to the ladle component and 11 times the damage to the auto spray component. These two components are critical components of the 07 die casting machine. After testing the compatibility index and the good compatibility of the damage time data and repair time data to obtain distribution data distribution patterns, obtain the tablespoon component MTTF assessment results of 107,833 hours and auto spray components amounting to 314,226 hours. Whereas the MTTR value of the spoon component is 0.385 hours and the auto spray component is 0.766 hours. The next step is to look for critical component replacement time intervals with the age replacement model, to further review whether it is related to increased reliability, decrease in total downtime, and cost savings before preventive maintenance is carried out and after preventive maintenance is carried out.
Pemetaan dan strategi peningkatan kinerja Lembaga Pelayanan Perizinan Daerah dengan metode MBNQA-SWOT
Authors: Anggara Hafidz , Hasibuan Sawarni
Published: April 2020

In order to realize bureaucracy reform of public service, especially licensing service and easy doing of business in Indonesia need to be done planning improvement strategy of regional Licensing service. Gap performance analysis regional licensing service board of DKI Jakarta conducted using MBNQA method with criteria MBCfPE version 2017-2018, while the design of the performance improvement strategy of the board of regional licensing services of DKI Jakarta is done with SWOT analysis. The results of the performance measurement of regional licensing service of DKI Jakarta using MBNQA standard resulted in a score of 752,475 which is at the level of an excellent global image with industry leader category. SWOT analysis results put the regional licensing service of DKI Jakarta in the Quadrant I (strengths-opportunities) that recommend the strategy of aggressive. Researchers recommend ten strategies for the performance improvement of the Regional Licensing Service Board of DKI Jakarta.
Supply chain management performance measurement in the development of Indonesian new capital city using SCOR method
Authors: Handoko Bambang , Swara Angga Widyas
Published: April 2020

The current issue of the Indonesian people is that there is a discussion about the discourse of moving the new capital city.  The process of moving capital city requires a lot of qualified human and material resources, but whether we can see whether it is possible for the capital city to move in a very short time. Logistics and supply chains are two things that are not separated in the process of moving goods and services. Supply chain management in the construction of new capital city includes material, heavy equipment, human resource   services and suppliers. The objective of this research is to develop the framework of supply chain performance measurement using SCOR method. Through SCOR research, can be traced anywhere that needs to produce more in terms of human resources and materials needed in the future, then the government needs to build a framework of indicators that must be achieved and targeted.
Strategi mitigasi risiko proyek konstruksi utilitas piping dan sipil: Studi kasus PDAM Jakarta
Authors: MJ Safruddin , Hasibuan Sawarni
Published: April 2020

Construction activities such as piping and civil works utilities always potentially pose a risk. Therefore, risk management is indispensable for the success of a construction project. The pipeline and Civil works construction project to meet the distribution of clean water needs in Jakarta through the Cooperation Agreement  PDAM Pam Jaya and PT Pam Lyonnaise Jaya (Palyja) potentially generate various risks. The purpose of this research is to analyse risk management on piping and civil works utility construction using the house of risk model.  Research is conducted through two phases. The first phase is the identification of risks and risk agents in the piping and civil works utility construction through the measurement of severity and occurrence levels to produce an aggregate risk priority (ARP), then conducts a risk mitigation analysis in the second phase. 60 respondents involved in the study consisting of project managers, supervisors, and engineers on pipeline and civil works construction projects. The results of the analysis successfully identified 60 risk events and 38 risk agents in the construction of utility piping and work civil PDAM Pam Jaya. FGD and Pareto analysis used in the study produced five recommendations for mitigation actions that are expected to be able to mitigate risk on piping and civil utility construction by establishing QA/QC independently/cooperation, take corrective action (corrective action), conduct testing or testing with the applicable provisions, implement ISO certification of 9001:2015 quality management, and perform training on procedures and standards that apply periodically.
Analisis cacat painting komponen automotive dengan pendekatan DMAIC-FMEA
Authors: Supriyati Supriyati , Hasbullah Hasbullah
Published: April 2020

Increasing competition among competitors demands the automotive component painting industry to improve product quality, visual impairment dominates painting process product. High defects lead to quality degradation, set KPI targets have not been achieved, 1-year average defects are 5.4% from 4.2% targets. To improve the quality and to analyze product non-compliance, DMAIC and FMEA approaches are used. The use of Six Sigma can analyze defects in production. A number of improvements have been made to ensure that the objectives are met, from the analysis it was found that the highest percentage of defects in Line 1 was 6.86% and type of spot/dirty was 36.3%, DPMO value 7619 and sigma value 3.9. The analysis with FMEA based on the highest 8 RPN values is the priority of improvement, the main factor influencing spot /dirty from the machine. Regular maintenance and cleaning need to be emphasized, easily contaminated chemicals require special handling, alterations of hanger design by adding dishes should be done to prevent dirt from falling into product.
Identifikasi faktor-faktor yang mempengaruhi daya saing dan posisi strategik KUB Batik Banyumasan
Authors: Sutarto Intan Nawangsari
Published: April 2020

The popularity of batik in Indonesia was increasing nevertheless, however batik Banyumasan seemed difficult to penetrate the market.  Banyumas Batik is still less pamor compared to the batik of Pekalongan, Solo, and Yogyakarta, this is seen from low productivity and also the product has not been able to penetrate the export market. This research aims to identify factors that affect the competitiveness of KUB Batik Banyumasan as well as analyze and determine the strategic position of KUB Batik Banyumasan (Pringmas KUB case study). In identifying the factors influencing the competitiveness and strategic position used Diamond Porter model, value chain, VRIO, IFAS, EFAS and SFAS matrix. The respondent in this study were divided into expert respondent and the company's internal informant. Based on the results of the score calculation on the internal factor and the external factor of Banyumasan batik’s industry KUB Pringmas obtained in the quadrant I indicate the position of the company is highly profitable, the company has the opportunity and strength, so can take advantage of existing opportunities. The strategy that must be set for the company in this position is to support the growth oriented strategy.
GREEN ROOF CONCEPT ANALYSIS: A COMPARATIVE STUDY OF URBAN FARMING PRACTICE IN CITIES
Authors: Mohd Hussain Nur Huzeima , Hashim Nur Hayati , Ismail Asmat
Published: April 2020

The emergence of urban farming mainly for food production is one initiative in developing a sustainable environment.  This paper presents a brief conceptual review of the ideas, issues and imperatives in implementing urban farming on the rooftop areas. The concern is to investigate an alternative way for urban dwellers to achieve resilience through urban farming — the review is based on the theoretical background and concepts of the relevant constraints taken from various established references. The method adopts comparatives analysis explicitly through established texts and secondary data taken from previous cases.  The significant examples include; (i) green roof as rooftop farming in ensuring food security and reduce carbon footprint in Singapore; (ii) urban farming as a culture in emphasizing the domestic food production and consumption in Japan; (iii) rooftop urban farming in fresh urban food production in USA; and (iv) rooftop is effective as edible landscape and not only serve for visual purpose only in Thailand. These cases will lead to localize the concept of rooftop urban farming. There also will be a strategy for the greening of the cities by intensifying urban farming. This paper envisions to extend and establish the conceptual discourse for implementing urban farming on the rooftop areas in Malaysia.
CRITERIA OF RESILIENCE INFRASTRUCTURE IN FLOOD-PRONE AREAS IN KELANTAN: A PILOT STUDY
Authors: Ahmad Ezzat Fahmi , Mohd Zin Ida Nianti , Alauddin Kartina
Published: April 2020

The resilience infrastructure systems can be described as capable of resisting, absorbing and recovering from flood effects in a timely and efficient manner. The resilience infrastructure systems can be achieved through the implementation of resilience criteria (i.e. robustness; resourcefulness; rapidity; and redundancy). The objective of this paper is to determine the most important resilience criteria to strengthen infrastructure systems in flood-prone areas in Kelantan. A cross-sectional survey was conducted among communities in flood-prone areas in Kelantan. A total of 23 criteria were analysed subjected to descriptive analysis. The results of the analysis showed that robustness is the most important criteria.
FRAMEWORK TO ASSESS DRIVER VISIBILITY AT ROAD JUNCTION
Authors: Rashid Kushairi , Azman Muhammad Azrul Azwan , Mohd Arip Mohd Sabri , Mohamad Rodzi Nurzarith Shafiqah
Published: April 2020

Due to lack of suitable framework to assess visibility of driver at road junction, this research endeavours to propose assessment framework using physical elements that combines landscape, street light, junction design & geometry and signage as variable category into a single framework. Variables identified from the literature were assessed to determine availability and suitability of variables to capture various ground conditions. The research identified, although most variables were presented at the study area however, there are some parameters require modification to suite with ground condition. This primarily for variables in the street light category that were found highly unidimensional. The application of the framework by relevant agencies hopes to be able to reduce road accident occurrences at road junction.