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PERSEPSI ULAMA TENTANG ZAKAT PRODUKTIF DIKOTA BANJARMASIN ; Mahriani, Elida; Anafarhanah, Sri
At-Taradhi Jurnal Studi Ekonomi Vol 6, No 1 (2015): Ilmu Ekonomi
Publisher : Islamic Economics and Business Faculty of UIN Antasari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18592/taradhi.v6i1.710

Abstract

Abstract: Poverty is a multidimensional problem that can be caused by several reasons, generally causedby economic problems. From the survey results of BPS South Kalimantan per September 2014 wasrecorded that poverty in South Kalimantan Province is 4.68% (62.509 people) of South Kalimantanpopulation, 3.790.071 people. From these, especially the poor in the city of Banjarmasin recorded 28.59million people (11.66%). In addition to government programs to reduce poverty, one of the solutionsthat can be utilized in the perspective of Islam is zakat leverage, particularly productive zakat. Tomove this productive charity needs to be synergy and synchronization of the various parties, in this caseare: the Government, the Ministry of Religious Affairs, the Indonesian Ulema Council (MUI), and theOrganization of the Islamic Religious including more specific ie BAZNAS. With the synergy and syn-chronization of the various parties, it is certain the collection and distribution of zakat, especiallyproductive zakat, would be more efficient and effective to support the prevention and alleviation ofpoverty and to achieve welfare for the people.
SEGMENTASI CITRA CT SCAN LUNG MENGGUNAKAN DETEKSI TEPI SOBEL DAN METODE DISTANCE REGULARIZED LEVEL SET EVOLUTION (DRLSE) ; Lilis Trisnawati; Lukman Hakim

Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/explorit.v10i1.1670

Abstract

The lung is one of the organs in the respiratory system that serves as a place to exchange oxygen with carbon dioxide in the blood. Disturbance the lung causes the patient difficult breathing, difficult to activity, lack of oxygen in fact if not quickly detected can cause death. To determine the symptoms of a patient's illness is generally carried out laboratory tests, where these tests are quite expensive and sometimes cause injuries and the result was sometimes long to be known x-ray images, this causes many people who indicated suffering from lung disease. The previous method capable of performing image segmentation ct scan lung difficult or not clarified to determination of edge detection and it still takes a long time for processing on ct scan lung image. Therefore, in this study to implement segmentation on ct scan lung image by using edge detection sobel and Distance Regularized Level Set Evolution Method to accelerate the segmentation of medical images. This method is capable of performing image segmentation ct scan lung with average an accuracy of 95.08% and average the Area Under the Curve (AUC) on relaive operating characteristic curve (ROC) amounted to 90.66%
PENERAPAN ALGORITMA NAÏVE BAYES UNTUK PREDIKSI PENERIMAAN SISWA BARU DI SMK AL-AMIEN WONOREJO ; Saful Rizal; Moch. Luthfi

Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/explorit.v10i1.1671

Abstract

One aspect of the first high school quality indicator is the level of acceptance of students in senior high schools or public vocational schools. Some junior high school students' data were analyzed to determine the level of acceptance of students in senior high schools or state vocational high schools. The process of analyzing student data using data mining techniques. The purpose of this research is to know the application of naïve bayes classification on the average value of report cards and the value of national examination on the acceptance level of students in high school or public vocational school using the result of classification model that formed. In this study the data used is the new student data force 2016 Vocational High School AL-AMIEN Wonorejo. Data mining process is assisted by WEKA software using naïve bayes classification and 10-fold cross validation. Furthermore the naïve bayes classification model is used to process prediction data. The results of the testing of the Naïve Bayes algorithm in predicting the acceptance of new students at the AL-AMIEN Wonorejo Vocational High School in 196 data of the students tested in this study, showed that the Naïve Bayes algorithm has an accuracy rate of 86.22%.
OPTIMASI METODE C4.5 MENGGUNAKAN ALGORITMA GENETIKA UNTUK KLASIFIKASI STUDI LANJUT SISWA MADRASAH ; A. Zulham F.H

Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/explorit.v10i1.1715

Abstract

Students (learners) are children or adolescents who get science education, guidance, and direction so as to get changes, developments in shaping a personality, as well as a structural education in the teaching process. In Permendikbud No. 5 of 2015 article 4 also explained the value of report cards must be 50% to 70% and the value of UN weighted between 30%. So in this research will do classification of advanced study of madrasah students by using algorithm C4.5 which has the highest level of accuracy, but in this research will be conducted optimization of assessment using genetic algorithm to mendaptkan better result. The process within the genetic algorithm is used to obtain an optimal solution of rapid value for complex problems in determining the value of subjects for five semesters. In experiments on the Decision Tree (C4.5) and Decision Tree algorithms coupled with optimizations using Genetic Algorithm (GA). From both tests it can be seen that Decision Tree (C4.5) research resulted Accuracy 79,43%, while Decision Tree (C4.5) with Genetic Algorithm (GA) as feature selection resulted Accuracy 81,43%.
PERBANDINGAN METODE k-NN DAN NEURAL NETWORK (Backpropagation) DALAM KLASIFIKASI GIZI ANAK ; Arif Faizin

Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/explorit.v10i1.1716

Abstract

In the Decree of the Minister of Health of the Republic of Indonesia No. 1995 / Menkes / SK / XII / 2010 dated December 30, 2010 and the World Health Organization- National Center for Health Statistics (NCHS-WHO), it is clear how standardization child nutrition is a very urgent matter. Because to know the nutritional intake of children that must be met when the condition of the child in a state of malnutrition or if the child nutrition. In this case, the child nutrition will affect brain development; adequate nutrition will be able to add to the absorption of the brain which will give the maximum intelligence, which corresponds to the opening 45 that is to educate intelligence UDD Nations children, which will be the focus point of this research. Methods to be used are two methods of data mining classification that Neural Network and K-Nearest Neighbor (K-NN), which will be sought method best of both methods, in seeking highest accuracy. Keynotes: Child Nutrition, Neural Networks and K-Nearest Neighbor (K-NN),
Laporan Kasus : Dekompresi Mikrovaskular pada Spasme Hemifasial
Jurnal Sinaps Vol. 3 No. 1 (2020): Volume 3 Nomor 1, Februari 2020
Publisher : Neurologi Manado

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Abstract

Hemifacial spasm (HFS) is a movement disorder of the seventh cranial nerve which is characterised by either brief or persistent intermittent twitching of the muscle innervated by the facial nerve. Although HFS is a benign disease, it can lead to increasing embarassment dan social withdrawl. There are several treatment for HFS, such as pharmacotherapy, botulinum toxin therapy, and microvascular decompression (MVD). MVD has been established as a first-line surgical treatment for patient with HFS and has been reported to provide relief from spasm in over 90% of cases. In this case, Female 47 years old, presenting with persistent intermittent twitching of his left facial muscle which getting worse for several years. Brain MRI showed compression of N.VII sinistra with left Anterior Inferior Cerebellar artery. Patient got consulted to neurosurgeon for DMV treatment, after she didn’t show any improvement with pharmacotherapy. After surgical, patient showed improvement in symptoms, follow up after 3 months is needed for evaluating prognosis of the patient.
Hilangnya Kesadaran Palsu: Sakralisasi Mesjid sebagai Simbol Pergerakan Roda Ekonomi Masyarakat Miskin di Pedesaan (Studi Kasus Masyarakat Kampung Kukupu Kelurahan Cibadak Kec.Tanah Sareal) ; Yogaprasta A Nugraha
Media Bahasa, Sastra, dan Budaya Wahana Vol 1, No 12 (2016): Volume 1 No 12., Ganjil, Tahun Akademik 2016/2017
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.533 KB) | DOI: 10.33751/wahana.v1i12.658

Abstract

AbstractDiscourse about how far religions are able to develop and destroy a society still worth to discuss. Different type of study between west and east (Islamic State) producing different conclusion. The fundamental different is located in the role of religion to society, in west area, there is still no evidence that religion can give any benefit toward societies life, meanwhile in east life there is evidence that religion can contribute positively toward societies life. These two differents type of conclusion become important assets in studying contemporary social-religion phonemenon. This kind of discussion is important considering the rise of society awareness about the importance of religion in solving problem.Keywords: masjid, social-religion phenomenon
PENGEMBANGAN KURIKULUM PONDOK PESANTREN ALTERNATIF PENINGKATAN KUALITAS PENDIDIKAN IPA UNHASY Fitriyah, Lina Arifah; Agastya, Widha Nur
Discovery Vol 1 No 2 (2016)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Hasyim Asy'ari (Unhasy)

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Abstract

BIOLITA (BIOGAS LIMBAH CAIR TAHU) SEBAGAI UPAYA PEMBERDAYAAN MASYARAKAT DI DUSUN DEMPOK, DESA GROGOL KECAMATAN DIWEK, KABUPATEN JOMBANG DALAM BIDANG ENERGI TERBARUKAN Suhailah, Fitriana Nur; Rosyidah, Latifatur; Al Amin, Ahmad
Discovery Vol 3 No 1 (2018)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Hasyim Asy'ari (Unhasy)

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Abstract

Program BIOLITA (BIOgas Limbah caIr TAhu) bertujuan untuk memanfaat limbah cair hasil bungan produksi tahu sebagai Upaya Pemberdayaan Masyarakat Desa di Bidang Energi Terbarukan. Kegiatan ini menargetkan masyarakat yang mempunyai usaha industri tahu, agar tidak membuang limbah cair hasil produksi tahunya ke sungai, malainkan memanfaatkan limbah tersebut menjadi biogas. Hal tersebut dapat mengurangi dampak pencemaran air sungai sekaligus juga dapat menghemat energi gas (LPG) karenaa dapat digunakan sebagai memasak.Metode yang dilakukan dalam rencana kegiatan meliputi penyusunan proposal, pendataan, pengamatan, penyusunan jadwal kegiatan, permohonan izin pelaksanaan kegiatan, penyusunan teknisi dan pengambilan tempat yang hendak dijadikan sebagai penilaian dalam kegiatan.Harapan dari program yang dilaksanakan ini yaitu agar masyarakat terutama masyarakat industri tahu mampu membuat dan mengembangkan hasil biogas yang telah dilakukan. Sehingga makin banyak masyarakat industri lain yang memanfaatkan hasil penelitian tersebut. Dengan demikian, maka akan mengurangi pencemaran air sungai serta krisis energi di masyarakat.Kata Kunci : Proses Pembuatan BIOLITA, Penerapan BIOLITA, Luaran, Hasil
ANALISA PENGARUH VARIASI PUTARAN SPINDEL DAN VARIASI GERAKAN MAKAN TERHADAP KEKASARAN PERMUKAAN PEMBUBUTAN DALAM MATERIAL ST50 ; Hartono, Priyagung; Margianto, Margianto
Jurnal Teknik Mesin Vol 5, No 01 (2015): Jurnal Teknik Mesin
Publisher : UNIVERSITAS ISLAM MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (683.844 KB)

Abstract

Lathe machining process is a process to produce engine parts or cylindrical part done by using lathe machine. The basic principles can be defined as the process of machining outer surface of cylindrical objects or flat lathe process and also the inner surface finish by the lathe process. Lathe itself is a process that feeds the workpiece cutting done by rotating the workpiece and then imposed on the chisel driven translational parallel to the spin axis of the workpiece. CNC lathe machines are widely used by manufacturing industries, training centers and schools such as NC machine CNC lathe is a machine that is capable of receiving the data by command, processing and output it in the form of movements on cutting tools. Spindle rotational speed, depth of cut, feeding and also includes geometry cutting tools affect the roughness of the workpiece. In this reseach would be seen whether there is influence spindle rotational speed, depth of cut, feeding and also includes geometry cutting tools at the EMCO CNC Turning Machines 242 against the workpiece of surface roughness. The research method used was experimental and statistical methods. The research was conducted at the Laboratory of Department of Mechanical Engineering, State Polytechnic of Malang. In this research used steel grade ST50 and type of cutting tools material grade is HSS, where the observation was performed 5 times and the variation of the cutting speed as much as 4 variations. Data collected by using the method of observation and documentation. The data obtained were then tested with SPSS 17 for Windows and Microsof Excel 2007. There are changes in surface roughness of the workpiece spindle rotational speed, depth of cut, feeding. The higher the rotation spindle, more smooth surface of the workpiece, and the deeper the depth of cut so more rough the surface of the workpiece. Judging from SPSS software test on the effect of cutting speed variation of the surface roughness of the workpiece obtained F table larger than F count and F Anova F1 count : 0,869 < Ftabel :3,86 and F2 hitung : 2,769 < Ftabel :3,86 with level of significant ? : 5%.
Co-Authors Abdul Majid Achmad Basuki Adi Wijaya Adji Dharmawan, Bayu Aflan Zulfadli, Aflan Agastya, Widha Nur Agustina, Rachma Ahmad Saifudin, Ahmad Ahmad Zulham Fahamsyah Havy Aires de Freitas, Paulo Henrique Al Amin, Ahmad Alvina Marta Trisya Amirul Mukminin Amriani Amir Andy Prasetyo Utomo Anh MAI Anita Rahayuningsih, Anita Antonius Tri Widodo Anwar Hamid, Deni Aprillia Dwi Ardianti Arif Faizin Asmaa Mahmoud Salman Asmayani Salimi Aspi Aspi Atmaja, Yusup Resha Ayu Linanda Bambang Wijaya Belouadha, Fatima-Zahra Boni Pahlanop Lapanporo Budi Utomo Budi Yulianto Cam Tu DOAN Da'ad A. Hussain Dermawan, Totok Djarwanti, Noegroho E. Satiaputra, Buchari Eddy Santoso Eddy Waluyo, Eddy Eko Saputro, Purwadi Elida Mahriani, Elida Endah Safitri Endah Sudarmilah Endang Rismunarsi, Endang Endang Uliyanti Erni Agustiani Erni Yuniarti ERVA ELLI KRISTANTI F.Y. Khosmas Fadlin Fadlin Fajri, Chotamul Fatah Yasin Al Irsyadi Hajar Omrana Haq, M.Hafiz Arsan Harioseto, Bimo Harsono, Yhonanda Heru Sulistyo Husni Thamrin Imam, Eriria Indra Pradana, Doni Jance M Supit Jannah, Ria Miftakhul Jauhari Legowo, Slamet Jauhari Legowo, Slamet Josy Lukman Syaiful Anam, Josy Lukman Kadarudin Kusno Adi Sambowo Kusoro Siadi Kuswanto Nurhadi, Kuswanto Laela Nikmatul Wafiroh Legowo, Slamet Jauhari Lilis Trisnawati Lina Arifah Fitriyah Lisdiana Lisdiana Lukman Hakim M. Basri . M. Nuzul Minggi Mahmudah, Amirotul M.H Margianto Margianto MHM, Amirotul Moch. Luthfi Muh. Aniar Hari Swasono Muttaqin, Rodhotul N., Laurentia A. Ni’mawati, Ni’mawati Niken Puspitasari Niken Silmi Surjandari Ninja - Noor Latifah Nurpadmi Nurpadmi Pamungkas, Hendarwati Parmin - Pramesti Dewi Prasetyaningrum, Ina Murwani Prayitno, Slamet Priyagung Hartono Purwati, Agus Putra, Aditya Mahindera Putri, Rismaya Nurrahma Rachmat Hidayatullah, Rachmat Raharja, Sri Revy Safitri Rohmahdani, Tututwuri Rosyidah, Latifatur Safae Nassiri Saful Rizal Sandy Kurniajati Saptorini Saptorini, Saptorini Setiono Setiono Setyaningsih, Natalia Erna Sisilya Saman Sonny Irwansyah Sri Anafarhanah, Sri Sri Buwono . Sri Nurhayati Stefanus Barlian Soeryamassoeka Stephani Diah Pamelasari, Stephani Diah Sugiyono . Suhailah, Fitriana Nur Suhendro, Budi Sumarni . Sunarmasto, Sunarmasto Sunarmasto, Sunarmasto Suryani . Sutono Sutono Sutrisni, Sri Syaiful B Arsyid Syambasril . Tahmid Sabri Tantri Widiastuti Tomi Darmawan, Tomi Tomo Djudin Toto Suyoto Ismail Tri Eko Agustiningrum Tri Joko Raharjo Viet Ha TRAN VU Warsono, Irba Unggul Wasino Wasino Widi Hartono Widodo, Adji Widuri Widuri, Widuri Woro Sumarni Yogaprasta A Nugraha Yundari, Yundari Yusep Purwana Muslih Zainuddin . Zaki Imaduddin