62 research outputs found
Cancer detection using aritifical neural network and support vector machine: a comparative study
No full textAccurate diagnosis of cancer plays an importance role in order to save human life. The results of the diagnosis indicate by the medical experts are mostly differentiated based on the experience of different medical experts. This problem could risk the life of the cancer patients. From the literature, it has been found that Artificial Intelligence (AI) machine learning classifiers such as an Artificial Neural Network (ANN) and Support Vector Machine (SVM) can help doctors in diagnosing cancer more precisely. Both of them have been proven to produce good performance of cancer classification accuracy. The aim of this study is to compare the performance of the ANN and SVM classifiers on four different cancer datasets. For breast cancer and liver cancer dataset, the features of the data are based on the condition of the organs which is also called as standard data while for prostate cancer and ovarian cancerboth of these datasets are in the form of gene expression data. The datasets including benign and malignant tumours is specified to classify with proposed methods. The performance of both classifiers is evaluated using four different measuring tools which are accuracy, sensitivity, specificity and Area under Curve (AUC). This research has shown that the SVM classifier can obtain good performance in classifying cancer data compare to ANN classifier
Agrioglypta hastantiae Watung & Darmawan & Suwito & Narakusumo & Nugroho & Encilia & Qodri & Peggie & Ubaidillah & Sutrisno 2023, sp. nov.
No full text<i>Agrioglypta hastantiae</i> Sutrisno, sp. nov. <p>Figs 1A–C, G–I</p> <p> <b>Diagnosis.</b> <i>Agrioglypta hastantiae</i> <b>sp</b>. <b>nov</b>. is easily distinguished from the closest species <i>A. excelsalis</i> (Walker, 1866) by a black trapezoidal medial line on the forewing, running from the mid-costa towards the end of the discal cell, and continues with a white ovate band as well as a black-tinged at both edges from M 3 towards CuA 2 and turned into whitish-yellow from CuA 2 toward the dorsum (Fig. 1A). On the other hand, a dark triangle medial line of the forewing on <i>A. excelsalis</i> continuously run from the mid-costa towards the dorsum (Fig. 1D). In addition, the male genitalia of this new species shows uniquely dense scaled at central and margin part of valva and the tip of fibula recurved (Fig. 1B).</p> <p> <b> Description. <i>Male</i> (Fig. 1A):</b> Forewing length 7 mm. Head with frons black at middle, white-yellowish edge, and vertex black. Labial palpus subascending with long, rough black scales, yellow-tinged from middle to apex, and white scales at ventral from middle to basal. Maxillary palpus prominent, first and third palpomeres covered with yellow scales, while second has black scales. Proboscis white and well-developed. Antennae filiform, extending to approximately full forewing length, while dorsal surface covered with a longitudinal row of black scales, ventral surface with minute yellow cilia. Thorax black at dorsal and white at ventral part, patagia black with white scales at middle and yellowish-white tegulae. Legs white, epiphysis covered with black scales. Forewings triangular, with white terminal cilia and dark scales at apex and tornus. Hindwing with a yellow straight discal bar and a snow white fringe running from tip of Sc+R 1 toward tip of CuA 1. Abdomen slender, with first segment towards 8 th black to dark brown gradually, 6 th segment bears pair of black pencils setae, while ventral 9 th segment bears a bundle of black tuft scales, curved upwards to cover anal lobe.</p> <p> <b> <i>Male genitalia</i> (Figs 1B, 1C):</b> Tegumen subtriangular, subscaphium slightly sclerotized; uncus simple, weakly sclerotized with a narrow triangular base, medially narrow, curved subdistally and apically blunt, not extended at apex of valva; valva simple, semirectangular, center of ventral part with densely scaled as well as margin of valva; fibula never exceeding valva length, curved inwardly, pointed apically; juxta prominent, tongue-shaped, weakly sclerotized; vinculum simple, semicircular. Coremata large, ovate, with a bundle of lamellar scales, almost twice size of valva. Phalllus long and thin, more than three times length of abdomen.</p> <p> <b> <i>Female</i> (Fig. 1G):</b> Similar to male, except for yellow scales on 9 th segment over anal lobe</p> <p> <b> <i>Female genitalia</i> (Figs 1H, I):</b> Anal lobe ovate with scattered faint scales; lamella postvaginalis moderate sclerotized; posterior apophyses short, anterior apophyses length almost double of posterior apophyses; ostium bursae wide, membranous, antrum short, never reached tip of anterior apophyses; ductus bursae thin and long; corpus bursae globular with a pair of oval signa with denticules.</p> <p> <b>Holotype:</b> ♁; Papua, Membaramo Raya, Kwerba, Mt. Foja. S 02°34 <b>ʹ</b> 22 <b>ʺ</b> E 138° 43 <b>ʹ</b> 02 <b>ʺ</b>, 04.XI.2008; leg. Hari Sutrisno. MZB Lepi. 662; MZB.</p> <p> <b>Paratypes:</b> 1 ♀; Papua, Membaramo Raya, Kwerba, Mt. Foja. S 02°34 <b>ʹ</b> 22 <b>ʺ</b> E 138° 43 <b>ʹ</b> 02 <b>ʺ</b>, 03.XI.2008. leg. Hari Sutrisno. MZB. Lepi. 663 (MZB); 1 ♁; SE Sulawesi, Kolaka, Wawo, Tinukan, Mt. Mekonga. S 03°64 <b>ʹ</b> 46.1 <b>ʺ</b> E121°09 <b>ʹ</b> 85.9 <b>ʺ</b>, 30.XI.2010. leg. Ubaidillah R, B. Kimsey, Nugroho H, Lupyaningdyah P, Darmawan. MZB Lepi. 248 (MZB); 1 ♀; RMNH – Project Wallace, Indonesia – N. Sulawesi, 27.iv–2.v.1985, at light, leg. R. de Jong, Dumoga-Bone N.P., Edward’s Camp, 600–700 m, 0°35’N 123°51’E, multistr. Evergreen forest, monsoon forest, RMNH.INS.1453661 (RMNH); 1 ♀; RMNH – Project Wallace, Indonesia – N. Sulawesi, 20–23.v.1985, at light, leg. R. de Jong, Dumoga-Bone N.P., Gn. Mogogonipa, 900–1008 m, 0°27’N 123°57’E, multistr. Evergreen forest, moss forest, RMNH.INS.1453662 (RMNH); 1 ♀; RMNH – pw26 [Project Wallace], N. Sulawesi: Dumoga Bone NP, Hogs Back, alt. 560 m, 17–18.xi.1985, leg. J Krikken, multistr evergr forest, at light, RMNH.INS.1453663 (RMNH); 1 ♁; RMNH – Project Wallace, Indonesia – N. Sulawesi, 20–26.iv.1985, at light, leg. R. de Jong, Dumoga-Bone N.P., Base Camp / Sg. Toraut, 0°34’N 123°54’E, fallow land, ca 210 m, RMNH.INS.1453664 (RMNH); 1 ♁; Museum Leiden, Indonesia, Bali, Candikuning, 1300 m, Kebun Raya Bali, 8°16’40”S – 115°09’00”E, 8–9.v.1991, leg. J. van Tol, RMNH.INS.1453660 (RMNH); 1 ♁; SUMATRA – O K [“oostkust” = East coast], leg. Don. Waldeck 1904, RMNH.INS.1453659; 1 ♁; Irian Jaya, Kab. Merauke, Kouh, 15.vi.1993, leg. P.J.A. de Vries, RMNH.INS.1453665 (RMNH).</p> <p> <b>Etymology</b>. The specific name <i>hastantiae</i> is derived from the wife’s name of the senior author, Hari Sutrisno. This name is dedicated to her support during our preparing this manuscript. A noun in the genitive case.</p> <p> <b>Distribution</b>. Papua to Sulawesi, Ternate Island (Moluccas), Bali and Sumatra (Fig. 4).</p> <p> <b>Remark:</b> The wing scales on the first paratype female shown in Fig. 1G were damaged while mounting the specimen leading to the loss of wing colors compared to males. Adults are nocturnal..</p>Published as part of <i>Watung, Jackson F., Darmawan, Darmawan, Suwito, Awit, Narakusumo, Raden Pramesa, Nugroho, Hari, Encilia, Encilia, Qodri, Agmal, Peggie, Djunijanti, Ubaidillah, Rosichon & Sutrisno, Hari, 2023, The genus Agrioglypta Meyrick (Lepidoptera: Crambidae, Spilomelinae) from Indonesia with descriptions of three new species, pp. 569-578 in Zootaxa 5297 (4)</i> on pages 570-572, DOI: 10.11646/zootaxa.5297.4.6, <a href="http://zenodo.org/record/8009245">http://zenodo.org/record/8009245</a>
Grey relational analysis feature selection for cancer classification using support vector machine
No full textNowadays, cancer is one of the leading causes of death in the world. However, cancer can be treated if it is diagnosed earlier. Recently, machine learning classifiers are widely applied in cancer detection due to their accurate diagnosis in cancer classification problems. However, the performance of the classifiers can be affected by the selection of the required variables used in the classification process. To choose these variables, this research proposed two classification models using two different feature selection methods namely: Grey Relational Analysis (GRA) and Improved Grey Relational Analysis (IGRA). Both of these methods are combined with a Support Vector Machine (SVM) classifier and named as GRA-SVM and IGRA-SVM. The GRA and IGRA act as a feature selection method in the preprocessing phase of SVM classifier to recognize potential variables in cancer data that can be used as significant input to SVM classifier to improve SVM classification capability performance. Using performance measuring tools, the efficiency of the proposed classification models: GRA-SVM and IGRA-SVM based on the value of geometric mean, sensitivity, specificity, accuracy and area under Receiver Operating Characteristic curve were compared with standard SVM and other classification models from previous studies. The results showed that the proposed GRA-SVM and IGRA-SVM classification models have achieved better performance in classifying the cancer data with better results ranging between 2.64% to 88.9% in the selection of potential variables
Parapolybia varia
No full textParapolybia varia (Fabricius, 1787) (Figs. 17–18, 28) Vespa varia Fabricius, 1787: 293. Specimen examined. Sulawesi I.: South Sulawesi: 1 ♀ (MZB), 05°02 S 119°44’E, alt. ca. 300 m, Karaenta, 30.vii–11.viii.2005, C. Villemant. Indonesian Archipelago other than Sulawesi I.: Sumatra I.: 1 ♀ (SEHU), Maninjau [ca. 00˚15’S 100˚11’E], 9.viii.1985, SY & SKY; Java I.: 10 ♀ (MZB), Ujung Kulon NP, Gunung Honje, Taman Jaya, Sumur, Pandeglang [ca. 06˚20’S 106˚05’E], 23.iv.2010, HN & E. Cholik; Sumbawa I.: 1 ♀, 1 ♂ (MZB), 08˚36.766’S 117˚16.346’E, alt. ca. 1.165 m, Gunung Batu Pasak, Batu Dulang, Batu Lanteh, 12.iv.2010, HN; 2 ♀ (MZB), 08˚36’S 117˚08’E, alt. ca. 1.090 m, Puncak Ngengas, Tepal, Batu Lanteh, 16.iv.2010, HN; Sumba I.: 1 ♀ (MZB), 09˚43’S 119˚56’E, alt. ca. 690 m, Pari Paha, Gaha Ori Angu, 23.vi.2013, Pungki, L. & GY. Distribution records: Indonesian Archipelago: Borneo I., Riouw-Archipelago, Sumatra I., Java I., Sumbawa I., Sumba I., Sulawesi I., New Guinea I.; Indian subcontinent; Indochina Peninsular; Philippine Islands; continental East Asia, Japan Archipelago (van der Vecht, 1966; Nugroho et al., 2011).Published as part of Handru, Alan, Nugroho, Hari, Saito-Morooka, Fuki, Ubaidillah, Rosichon & Kojima, Jun-Ichi, 2020, Eusocial wasp fauna of Sulawesi Island, the central island of Wallacea (Hymenoptera: Vespidae; Polistinae, Vespinae), pp. 541-559 in Zootaxa 4885 (4) on page 551, DOI: 10.11646/zootaxa.4885.4.5, http://zenodo.org/record/429694
Aesthetic Functions in Translation (Study in Arabic and English Proverbs)
No full textThis article aims to give interpreters an understanding of the importance of studying the
socio-cultural environment in the target language, which is certainly very different from the
source language. Also, in translating proverbs into other languages whose speakers have
different cultures with speakers of source languages, such as Arabic and English cultures.
The data source for the main reference in this paper is the encyclopedias of Arabic proverbs
by al-Maydani (1955) entitled Majma ’al-Amtsal. For finding English proverbs, the author
uses Cambridge Advanced Learner Dictionary, 3rd Edition software and Martin H. Manser's
The Fact on File Dictionary of Proverb. The aesthetic function theory formulated by Jan
Mukarovsky was used in finding the equivalent translation of Arabic proverbs into English
proverbs describing the foregrounding and automatization translations. The selection of
lexicons in Arabic proverbs has lot relations with the cultures of Arab society, which emerge
from various domains, such as agriculture, hunting, farm, warfare, trade, and jewelry. As for
the English proverbs, of course, the lexicons used are widely found in the lives of Western
people and in accordance with what was expected in their social situations.
Keywords: equivalence; Arab proverb; English prover
STANDARD OPERATING PROCEDURE PEMBERSIHAN KAMAR DI HOTELOAKWOOD SURABAYA
No full textThe purpose of writing this Final Project is to find out the Standard Operating Procedure for Cleaning Rooms at the Oakwood Hotel Surabaya. The author made observations at the Oakwood Surabaya hotel, Jl. Raya Kertajaya Indah No. 79, Manyar Sabrangan, Kec. Mulyorejo, Surabaya, East Java, 60116. From 09 September 2022 to 20 March 2023 for 6 months. The author concludes that a room attendant at the Oakwood Hotel Surabaya carries out his duties in accordance with the Standard Operating Procedures that have been set by the hotel, so that the hotel room maintains its cleanliness, tidiness, beauty and comfort
PONDOK PESANTREN DALAM PENGEMBANGAN MASYARAKAT DAN PENDIDIKAN: (Studi Kasus pada Pondok Pesantren Ibnul Amin, Pamangkih, Labuan Amas Utara, Kabupaten Hulu Sungai Tengah Kalimantan Selatan)
No full textThis study aims to determine the role of the Islamic boarding school Ibnul Amin in community development and education. This research is descriptive-qualitative research. Data was collected by participating in observations, interviews, and documentation. There are three things that are important to be described in this study, namely the role of the Ibnul Amin Islamic Boarding School in Community Development in the field of education in the form of increasing community human resources, in this case teachers, leaders, and education actors by means of khidmah tarbawiyah; services through training of educators, teacher training in Arabic, and teacher training in the field of Mathematics and Natural Sciences. Efforts in this field, although not maximized, have at least contributed to the development of society. As for the social sector, the Ibnul Amin Islamic Boarding School seeks the realization of Poskestren, Kopmastren, Development in the Economy. Empowerment of Small and Medium Enterprises for the community. In the field of Islamic da'wah, the emphasis is on religious issues and social relations between each other, through religious lectures, religious consultations, and enlivening the symbols of Islam and no less important is da'wah providing direct examples to the community in terms of doing good deeds, doing real work. in order to achieve the real purpose of life. The author considers that the Ibnul Amin Islamic Boarding School still needs to be seen from all aspects, both organizational aspects, and work programs that have been and will be carried out, so that it can be categorized that the Ibnul Amin Islamic Boarding School really carries out its functions and duties for the betterment of the Barabai community as a whole. Specifically and Indonesia in general
Forecasting zakat collection using artificial neural network
No full text'Zakat', "that which purifies" or "alms", is the giving of a fixed portion of one's wealth to charity, generally to the poor and needy. It is one of the five pillars of Islam, and must be paid by all practicing Muslims who have the financial means (nisab). 'Nisab' is the minimum level to determine whether there is a 'zakat' to be paid on the assets. Today, in most Muslim countries, 'zakat' is collected through a decentralized and voluntary system. Under this voluntary system, 'zakat' committees are established, which are tasked with the collection and distribution of 'zakat' funds. 'Zakat' promotes a more equitable redistribution of wealth, and fosters a sense of solidarity amongst members of the 'Ummah'. The Malaysian government has established a 'zakat' center at every state to facilitate the management of 'zakat'. The center has to have a good 'zakat' management system to effectively execute its functions especially in the collection and distribution of 'zakat'. Therefore, a good forecasting model is needed. The purpose of this study is to develop a forecasting model for Pusat Zakat Pahang (PZP) to predict the total amount of collection from 'zakat' of assets more precisely. In this study, two different Artificial Neural Network (ANN) models using two different learning algorithms are developed; Back Propagation (BP) and Levenberg-Marquardt (LM). Both models are developed and compared in terms of their accuracy performance. The best model is determined based on the lowest mean square error and the highest correlations values. Based on the results obtained from the study, BP neural network is recommended as the forecasting model to forecast the collection from 'zakat' of assets for PZP
The noise absorption performance of sugarcane-bagasse-polyvinyl acetate glue based absorber
No full textPELATIHAN TATA CARA BERSUCI KEPADA ANAK-ANAK DAN REMAJA DI DESA PANTAI HARAPAN JAYA
No full textWorship is the main task that Allah SWT has entrusted to humans while standing on earth. There are many ways of worship, which if summarized into two types, namely mahdhah worship (pure / without intermediaries) and ghairu mahdhah worship (impure / through intermediaries) where worship performed by Muslims has several conditions so that their worship is accepted, one of which is purification. Based on the analysis of the problems received by the author from the community in Pantai Harapanjaya Village, there are still many children and adolescents who do not fully understand and practice the correct procedures for purification according to the guidance of Islamic law. Because of the problems that exist, the author uses the lecture and demonstration method on the material for correct purification training procedures according to the guidance of Islamic law which are held in two meetings, where the first meeting uses the lecture method which is held at the Al-Husna Mosque in Bulak Hamlet and the second meeting uses the lecture method. demonstration method carried out in the Saung Ilmu Bulak Hamlet. The results of the conclusions from these two activities include, firstly increasing understanding and increasing children and youth in carrying out the practice of purification properly according to Islamic sharia guidelines and secondly increasing trust in the community and parents towards children and adolescents that they have been able to become the golden generation to continue the struggle for progress in Harapanjaya Beach Village with the initial capital of having a pure soul from an early age
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