Gadjah Mada University

About: Gadjah Mada University is a education organization based out in Yogyakarta, Indonesia. It is known for research contribution in the topics: Population & Adsorption. The organization has 17307 authors who have published 21389 publications receiving 116561 citations. The organization is also known as: University of Gajah Mada & Universitas Gadjah Mada.

Peringkasan Sentimen Esktraktif di Twitter Menggunakan Hybrid TF-IDF dan Cosine Similarity

Abstract: The using of Twitter by selebrities has become a new trend of impression management strategy . Mining public reaction in social media is a good strategy to obtain feedbacks, but extracting it are not trivial matter. Reads hundred of tweets while determine their sentiment polarity are time consuming . Extractive sentiment summarization machine are needed to address this issue. Previous research generally do not include sentiment information contained in a tweet as weight factor, as a results only general topics of discussion are extracted. This research aimed to do an extractive sentiment summarization on both positive and negative sentiment mentioning Indonesian selebrity, Agnes Monica , by combining SentiStrength, Hybrid TF-IDF, and Cosine Similarity. SentiStrength is used to obtain sentiment strength score and classify tweet as a positive, negative or neutral. The summarization of posisitve and negative sentiment can be done by rank tweets using Hybrid TF-IDF summarization and sentiment strength score as additional weight then removing similar tweet by using Cosine Similarity. The test results showed that the combination of SentiStrength, Hybrid TF-IDF, and Cosine Similarity perform better than using Hybrid TF-IDF only, given an average 60 % accuracy and 62% f-measure . This is due to the addition of sentiment score as a weight factor in sentiment summ­ari­zation.

The Development of Reference Values for the WHO Health Facility Core Prescribing Indicators

Abstract: This study outlines a method for developing reference values for the WHO core prescribing indicators using survey-derived morbidity data and locally appropriate treatment guidelines developed by a panel of health care providers. Ten (10) health care facilities were selected randomly from two states in Nigeria (Edo and Delta). A retrospective cross-sectional survey of the prevalence and severity of clinical problems seen in these facilities was carried out using a minimum of 100 medical records per facility. A panel of health care providers reviewed relevant information on disease presentation for each encounter to confirm or impute a diagnosis.Another multidisciplinary expert panel reached consensus about the most appropriate local treatment for each diagnostic category thus identified, and assigned appropriate values to the core WHO prescribing indicator variables for the category. Reference values for the indicators were obtained by summing across all diagnostic categories the proportion of cases in the category times the consensus value assigned to the indicator variables for that category. One thousand one hundred and nine (1109) clinical encounters were evaluable. The predominant diseases were malaria (24.9%), acute respiratory infections (11.9%), skin disorders (7.0%), trauma (6.8%), non-specific fever (4.5%), diarrhoea (4.0%), miscellaneous disorders with a single diagnosis (23.0%), and encounters with multiple diagnoses (17.9%). Overall, 69.8% of cases were classified as mildly ill, 28.5% moderately and 1.7% of cases as severely ill. The local reference values derived for the WHO core prescribing indicators were as follows: average number of drugs per encounter (1.6-1.8); percentage encounters with injections (10.1%-17.0%); and with antibiotics (20.0%-25.4%). The maximum possible value of 100.0% was assigned to the percentages of drugs prescribed by generic name and those prescribed from the essential drug list. It is feasible to derive reference values for prescribing indicators by combining local clinical case mix data and consensus treatment guidelines for major disease entities. Key words: drug use; WHO; prescribing indicators; reference values; Nigeria Resume Notre etude donne les grandes lignes d'une methode servant a developper des valeurs de references pour les indicateurs de L'Organisation Mondiale pour la Sante (WHO) qui prescrivent les noyaux. On a utilise des donnees de morbidite obtenues grâce a des enquetes sur place et grâce a des conseils locaux etablis par un groupe de dispensateurs de soins de sante. Nous avons choisi au hasard dix (10) services de sante dans deux Etats du Nigeria (Edo et Delta). Puis, s'agit d'une enqete retrospective et englobante sur la predominance et la severite des problemes cliniques rencontres dans ces services. Pour ce faire, on a pris un minimum de 100 dossiers medicaux par service. Un panel de dispensateurs de soins de sante a revu les renseignements pertinents sur la presentation de la maladie dans chaque incident afin de confirmer ou d'imputer des diagnoses. Un autre panel de specialiates provenant de domaines differents est tombe d'accord a propos du traitement local le plus approprie pour chaque categorie diagnostique ainsi identifiee. Ce panel a aussi attribue, pour la categorie, des valeurs appropriees aux variables des indicateurs de l'Organisation Mondiale pour la Sante qui prescrivent les noyaux. Les valuers referentiielles ont ete obtenues en determinant, a travers toutes les categories diagnostiques, la proportion des cas dans la categorie et en la multipliant par la valeur du consensus assignee aux variables de l'indicateur pour cette categorie. Mille cent-neuf incidents cliniques (1109) devaient etre evalues. Les maladies predominantes etaient: paludisme (24,9%), infections respiratoires aigues (11,9%), desordres de la peau (7,5%), diarrhee (4,0%), desordres divers d'une diagnose (23,0%), incidents aux diagnoses multiples (17,9%). En tout, 69,8% des cas etaient classifies comme un peu malade, 28,5% comme moyennement malade, et 1,7% comme gravement malade. Les valeurs referentielles locales retenues pour les indicateurs de l'Organisation Mondiale pour la Sante (WHO) prescrivant les noyaux sont les suivantes: nombre moyen de medicaments par incident (1,6-1,8); pourcentage des incidents exigeant des piqures (10,1%) – 170%); incidents exigeant des antibiotiques (20,0%) – 25,4%). La valeur maximale de 100,0% pour les indicateurs de l'Organisation Mondiale pour la Sante (WHO) a ete attribuee aux pourcentages des medicaments prescrits sous des noms generiques et a ceux prescrits a partir de la liste des medicaments essentiels. Il est possible d'obtenir les valeurs referentielles pour les indicateurs de prescription en combinant des donnees mixtes des cas clinques locaux et des conseils de traitement des entites de maladies majeures etablis par un consensus. Mot cles: usage de medicaments; WHO; prescrivant indicateurs; valeurs referentielles; Nigeria West African Jnl of Pharmacology and Drug Research Vol.18 2002: 6-11

Black rice as a functional food in Indonesia

Abstract: Background: There are many local black rice cultivars in Indonesia, yet only a few of these are formally described in the literature. It has been reported that black rice has many phytochemical variants which may contribute to its use as a functional food, including nutraceuticals and secondary metabolites such as anthocyanin, oryzanol, and more. The purpose of this article was to review literature describing black rice cultivars from Indonesia, with a particular focus on its potential use as a functional food. Our literature search revealed several articles that describe black rice in relation to its nutraceutical properties and its role in reducing non-communicable diseases. Other studies describe the diversity of local pigmented rice and its potential for lowering the risk of hyperlipidemia, hyperglycemia, and for cancer prevention. Black rice has been described as a functional food in several countries; however, there is great diversity among cultivars and further research on Indonesian varieties will determine whether local variants are candidates as well for the development of functional foods. Keywords : black rice cultivar, functional food, non-communicable diseases, nutraceutical, phytochemical