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IMPLEMENTASI KEBIJAKAN MANAJEMEN PENINGKATAN MUTU BERBASIS SEKOLAH (MPMBS) DI ERA OTONOMI DAERAH SMKN I KUALA CENAKU KABUPATEN INDRAGIRI HULU Herawati, Sri
Perspektif Vol 7 No 14 (2016): Perspektif Pendidikan dan Keguruan
Publisher : UIR Press

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One issue that is important adult education reform is decentralization of educationmanagement. To implement policies Based Quality Improvement Management School(MPMBS) as an alternative form chosen in the implementation of the decentralization ofeducation, readiness areas and educational institutions (schools) are still in doubt, because toimplement the necessary requirements to be met, especially with regard to human resources,school and community environments. The general objective of this research is that it canprovide a deeper understanding on matters relating to the implementation of policies toimprove the quality of education in the era of decentralization and regional autonomy. WhileSpecifically, this study aims to describe, analyze, and interpret the readiness of resources inSMKN I Kuala Cenaku Desa Kuala Cenaku Inhu in implementing MPMBS, process of policyimplementation MPMBS in SMKN I Kuala Cenaku Desa Kuala Cenaku Inhu, Communityinvolvement in implementation MPMBS policy, factors that support and hinder theimplementation of the policy I MPMBS at SMK Kuala Cenaku Desa Kuala Cenaku Inhu. Theresults of this study indicated that the readiness of human resources (principals and teachers)in Kuala Cenaku SMKN I Desa Kuala Cenaku Inhu in implementing MPMBS policies, inquantity sufficient and ready because they had met the eligibility requirements of the standardof teaching. And also the implementation of policies MPMBS can be quite effective, and canpromise that this program is better than management models and lessons learned in the pasttend to be conventional for involvement or participation in education, especially at theimplementation MPMBS in SMKN I Kuala Cenaku Desa Kuala Cenaku Indragiri Hulu hasincreased.

Manajemen Pemanfaatan Sarana Dan Prasarana Pembelajaran Herawati, Sri; Arafat, Yasir; Puspita, Yenni
Attractive : Innovative Education Journal Vol 2 No 3 (2020): Attractive : Innovative Education Journal
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/aj.v2i3.68

This study aimed at finding out management of the use of facilities and infrastructure in learning, obstacles and the solutions in Elementary School of 25 Betung. This research used a qualitative method. Subject in this study was the principal, teachers, infrastructure coordinator, school committee and supervisor. Technique of collecting data employed observation, interview and documentation. The technique of data validity used triangulation of methods and sources. Data analysis techniques used interactive model. The management of learning facilities and infrastructure is utilized through planning, implementing and controlling facilities and infrastructure. The obstacles are the storage area requires funds for expansion and repair, and a lack of administrative personnel, especially for the management of facilities and infrastructure. Solving budget problems by optimizing the limited personnel is to be more observant in determining the priority scale according to the existing budget, then involving existing personnel in formal courses or training. Keywords: Management Facility, Management Infrastructure, Learning

PERAMALAN HARGA SAHAM MENGGUNAKAN INTEGRASI EMPIRICAL MODE DECOMPOSITION DAN JARINGAN SYARAF TIRUAN Sri Herawati
Jurnal Ilmiah Mikrotek Vol 1, No 1 (2013): AGUSTUS
Publisher : Universitas Trunojoyo Madura

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Peramalan harga saham sangat diperlukan investor maupun pelaku bisnis sebelum memutuskan investasisaham. Namun fluktuasi harga saham ini cenderung dinamik, nonlinear, nonparametrik dan tanpa trendata. Salah satu model peramalan yang dapat digunakan untuk mengakomodasi fluktuasi harga sahamdengan menggunakan empirical mode decomposition dan Jaringan Syaraf Tiruan. Empirical modedecomposition menguraikan serangkaian waktu menjadi sejumlah modus intrinsik independen yangdinamakan intrinsic mode functions dan residu. Kemudian, hasil dekomposisi empirical modedecomposition dilatih dan diuji menggunakan feedforward neural network. Data hasil pengujianfeedforward neural network untuk masing-masing intrinsic mode functions dan residu dijadikan masukanuntuk adaptive linear neural network. Sehingga hasil keluaran adaptive linear neural network berisi dataperamalan harga saham yang akan datang. Uji coba model peramalan ini menggunakan data harian hargasaham. Data harian dimulai dari 3 Januari 2011 sampai dengan 30 Juli 2013. Berdasarkan hasil uji coba,peramalan harga saham menggunakan integrasi empirical mode decomposition dan jaringan syaraf tiruan menghasilkan peramalan yang akurat.

IMPLEMENTASI KEBIJAKAN MANAJEMEN PENINGKATAN MUTU BERBASIS SEKOLAH (MPMBS) DI ERA OTONOMI DAERAH SMKN I KUALA CENAKU KABUPATEN INDRAGIRI HULU: (Implementation of School-Based Quality Improvement Management (MPMBS) in the Era of Regional Autonomy SMKN I Kuala Cenaku Kabupaten INHU) Sri Herawati
Perspektif Pendidikan dan Keguruan Vol 7 No 14 (2016): Perspektif Pendidikan dan Keguruan
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

One issue that is important adult education reform is decentralization of educationmanagement. To implement policies Based Quality Improvement Management School(MPMBS) as an alternative form chosen in the implementation of the decentralization ofeducation, readiness areas and educational institutions (schools) are still in doubt, because toimplement the necessary requirements to be met, especially with regard to human resources,school and community environments. The general objective of this research is that it canprovide a deeper understanding on matters relating to the implementation of policies toimprove the quality of education in the era of decentralization and regional autonomy. WhileSpecifically, this study aims to describe, analyze, and interpret the readiness of resources inSMKN I Kuala Cenaku Desa Kuala Cenaku Inhu in implementing MPMBS, process of policyimplementation MPMBS in SMKN I Kuala Cenaku Desa Kuala Cenaku Inhu, Communityinvolvement in implementation MPMBS policy, factors that support and hinder theimplementation of the policy I MPMBS at SMK Kuala Cenaku Desa Kuala Cenaku Inhu. Theresults of this study indicated that the readiness of human resources (principals and teachers)in Kuala Cenaku SMKN I Desa Kuala Cenaku Inhu in implementing MPMBS policies, inquantity sufficient and ready because they had met the eligibility requirements of the standardof teaching. And also the implementation of policies MPMBS can be quite effective, and canpromise that this program is better than management models and lessons learned in the pasttend to be conventional for involvement or participation in education, especially at theimplementation MPMBS in SMKN I Kuala Cenaku Desa Kuala Cenaku Indragiri Hulu hasincreased.

PERAMALAN KUNJUNGAN WISATAWAN MENGGUNAKAN EMPIRICAL MODE DECOMPOSITION DAN CASCADE FORWARD BACKPROPAGATION Sri Herawati
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 1 (2015): Informatika Dalam Pengelolaan Sumber Daya Alam
Publisher : Jurusan Teknik Informatika

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The growth of tourism demand is an important source for economic development, jobs, tax revenues, and incomes. Forecasting is needed to monitor fluctuations in tourism demand. Most tourism demand influenced by several factors, such as economic conditions, seasonal variation, or politics. Thus, the task of forecasting was quite difficult to accommodate these factors. One method of forecasting tourism demand is the integration of Empirical Mode Decomposition (EMD) with a neural network-based Feed-forward Neural Network (FNN). To accelerate learning process and improve the accuracy of forecasting, this research using Cascade Forward Backpropagation (CFN). Data tourist visits was decomposed using EMD. Then, all the results from the decomposition (IMF and residues) are used as inputs in the CFN. Outcomes of CFN merged using Adaptive Linear Neural Network (Adaline) to obtain the final forecasting value . Results of this research was accelerated the learning process and improved the accuracy of forecasting tourism demand better than EMD and FNN.

IMPLEMENTASI METODE HOLT WINTER ADDITIVE UNTUK PREDIKSI KUNJUNGAN WISATAWAN NUSANTARA KABUPATEN SUMENEP Ainun Nawawi; Sri Herawati; Novi Prastiti
Jurnal Simantec Vol 10, No 1 (2021)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v10i1.12466

Adanya peningkatan kunjungan wisatawan di Kabupaten Sumenep yang tidak dapat diduga, sehingga perlu dilakukan peramalan untuk memprediksi jumlah kunjungan wisatawan di Kabupaten Sumenep pada periode yang akan datang. Dalam kesempatan penelitian kali ini dilakukan peramalan kunjungan wisatawan di Kabupaten Sumenep menggunakan metode hold-winters exponentialÂ smoothing additive, metode hold-winters exponentialÂ smoothing additive merupakan metode yang didasarkan pada tiga persamaan smoothing yaitu smoothing level, smoothing trend, serta smoothing musim. Data yang digunakan dalam penelitian ini berupa data time series kunjungan wisatawan Kabupaten Sumenep dari bulan Januari 2015 â€“ Februari 2020. Hasil dari penelitian yang telah dilakukan diperoleh nilai akurasi peramalan SMAPE terbaik sebesar 13,65%, dengan nilai . Berdasarkan hasil nilai akurasi peramalan SMAPE yang telah didapat, metode peramalan hold-winters exponential smoothing additive dapat menjadi rujukan untuk penyusunan strategi pembangunan dan pemasaran wisata di Kabupaten Sumenep. Sehingga dapat meningkatkan efektivitas dalam pengambilan keputusan dan meningkatkan perekonomian di Kabupaten Sumenep.

PENGEMBANGAN SISTEM INFORMASI LAYANAN PPDB PADA YAYASAN SABILILLAH SAMPANG MADURA Yudha Dwi Putra Negara; Sri Herawati; Faisol Arif Efendi
Jurnal Simantec Vol 10, No 1 (2021)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v10i1.12801

Untuk meningkatkan peran Pendidikan dalam sekolah diperlukan layanan yang mendukung dalam mewujudkan Pendidikan sekolah yang dapat membangun karakter bangsa. Penerimaan perserta didik Baru merupakan salah satu layanan Pendidikan. Pelaksanaan PPDB tahun 2021 tentu berbeda dari tahun-tahun sebelumnya. Pelaksanaan PPDB tahun sebelumnya masih manual dan dilakukan secara madiri setiap sekolahan. Hal tersebut menjadi permasalahan ketika mengelolah data pendaftaran seluruh sekolah secara terpusat akan menjadi sulit sehingga mengakibatkan keterlambatan hasil pengumuman dan pelaksanaan proses belajaran mengajar karena pengelolahan yang lambat. Pihak yayasan berharap meningkatkan pelayanan pendataran peserta didik Baru dengan mengintregrasikan seluruh pendaftaran secara terpusat. Oleh karena itu penelti bermaksud meningkatkan layanan pendidikan sekolah untuk pelayanan pendaftaran perserta didik baru secara daring dengan mengembangkan Sistem Informasi Pendaftaran Peserta Didik Baru untuk meningkatkan layanan pendidikan pada Yayasan Sabilillah Sampang untuk Sekolah RA, MI, SMP, dan SMA sehingga dapat meningkatkan layanan pendidikan pada sekolah tersebut. Model perancangan dan pembangunan pengembangan perangkat perangkat lunak dengan konsep waterfall, yang secara umum memiliki tahapan: identifikasi kebutuhan sistem, study literature, pengumpulan data, analisa dan desain sistem, implementasi sistem, pengujian sistem dan target luaran. Selain itu peneliti akan melakukan evaluasi dan monitoring sistem informasi yang digunakan. Penelitian ini menghasilkan 10 kebutuhan fungsional dan desain dan perancangan menggunakan notasi diagram Unified Modelling Language (UML), dan menghasilkan sebuah sistem yang akan di uji. Pengujian black box menghasilkan hasil implementasi sistem 100% valid. Pengujian User Acceptance Test (UAT) mendapatkan hasil 100% sistem dapat diterima dan digunakan oleh pengguna.

PERAMALAN HARGA MINYAK MENTAH MENGGUNAKAN GABUNGAN METODE ENSEMBLE EMPIRICAL MODE DECOMPOSITION (EEMD) DAN JARINGAN SYARAF TIRUAN Sri Herawati; Arif Djunaidy
Jurnal Simantec Vol 4, No 1 (2014)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v4i1.1347

ABSTRAKSalah satu metode peramalan harga minyak mentah yang ditujukan untuk mengakomodasi sifat harga minyak mentah yang cenderung nonlinier dan nonstasioner serta dipengaruhi banyak faktor adalah peramalan yang megintegrasikan metode empirical mode decomposition (EMD) dan jaringan syaraf tiruan (JST). Dalam metode EMD, serangkaian fungsi waktu dari data masukan ditranformasikan menjadi sejumlah modus yang terdiri dari beberapa intrinsic mode functions (IMF) dan sinyal residu. Namun, metode EMD mempunyai kelemahan karena dapat menimbulkan terjadinya modus campuran dimana sebuah IMF tunggal dapat terdefinisikan menjadi beberapa sinyal dengan skala yang berbeda atau sebuah sinyal dengan skala yang sama terbentuk dalam beberapa komponen IMF yang berbeda. Dalam penelitian ini, metode EMD diganti dengan metode ensemble EMD (EEMD) dan menambahkan sinyal white noise untuk mengkompensasi modus cam-puran yang dapat terbentuk. JST berbasis feedforward neural networkdigunakan untuk memperoleh model peramalan dari masing-masing IMF dan sinyal residu. Semua IMF dan residu yang dihasilkan dijadikan masukan pada sebuah adaptive linear neural network (Adaline) untuk menghasilkan proses peramalan. Model peramalan yang telah berhasil dikembangkan dalam penelitian ini dibangun dan diuji menggunakan data bulanan harga minyak mentah West Texas Intermediate (WTI) dan Brent. Hasil uji coba menunjukkan bahwa metode peramalan yang menggabungkan EEMD dan JST menghasilkan kinerja yang lebih baik dibandingkan metode yang menggabungkan EMD dan JST. Hasil uji coba untuk data bulanan jenis minyak WTI menghasilkan RMSE sebesar 0,0330 dan Dstat sebesar 65,3061%, sedangkan untuk jenis minyakBrent menghasilkan RMSE sebesar 0,0433 dan Dstat sebesar 78,0488%.Kata kunci: Peramalan Harga Minyak Mentah, Empirical Mode Decomposition (EMD), Ensemble EMD (EEMD), Jaringan Syaraf Tirun, Adaptive Linear Neural Network (Adaline). ABSTRACTOne method of forecasting crude oil price which is intended to accommodate the nature of crude oil prices tend to be nonlinear and nonstationary and is influenced by many factors that integrated forecasting method empirical mode decomposition (EMD) and neural network (ANN). In the EMD method, the time series of the function of the input data being transformed into a mode that consists of several intrinsic mode functions (IMF) and the residual signal. However, EMD method has drawbacks because it can lead to a mixed mode where a single IMF can be defined into several signals with different scales or a signal of the same scale are formed in several different IMF components. In this study, EMD method is replaced with the ensemble method EMD (EEMD) and adding white noise signal to compensate for the blend mode that can be formed. ANN based feedforward neural network used to obtain forecasting model of each IMF and the residual signal. All IMF and the resulting residue used as input to an adaptive linear neural network (Adaline) to generate forecasting process. Forecasting model has been successfully developed in this study was built and tested to use monthly data price of West Texas Intermediate crude oil (WTI) and Brent. The experimental results show that the forecasting method that combines EEMD and ANN produce a better performance than methods that incorporate EMD and ANN. Test results for monthly data types WTI oil yield of 0.0330 and a RMSE of 65.3061% dstat, while Brent oil for this type produces RMSE of 0.0433 and 78.0488% of dstat.Keyword: forecasting crude oil prices, empirical mode decomposition (EMD), ensemble EMD (EEMD), neural networks, adaptive linear neural network (Adaline)

CORRELATION BETWEEN INTRACELLULAR HEAT SHOCK PROTEIN 70 EXPRESSION AND CERVICAL LYMPH NODES ENLARGEMENT IN NASOPHARYNGEAL CARCINOMA Achmad C Romdhoni; Sri Herawati; Elida Mustikaningtyas
Folia Medica Indonesiana Vol. 52 No. 1 (2016): JANUARY - MARCH 2016
Publisher : Faculty of Medicine, Universitas Airlangga

Tumor growth and metastasis in NPC patients suspected role of several molecular biomarkers that have been identified in tumor specimens of patients with NPC. Recent research states intracellular Hsp70 is a stress protein that is a main factor for the growth, invasion and metastasis of NPC. The purpose of this study is to analyze intracellular Hsp70 protein expression of NPC patients which correlate with staging of NPC as clinical manifestation. This study used cross sectional design. In this study, formalin-fixed paraffin-embedded biopsy specimens were obtained from 18 NPCs with all of histopathology and clinically divided into N0, N1, N2, N3. The expression of intracellular Hsp70 was obtained with immunohistochemistry using monoclonal antibody Anti Human Hsp70 antibodi from Santa Cruz Biotechnology, California, USA. Assessment of the staining was performed with Remmele methode by Histopathologies doctor Consultant. The Spearman’s test was used to determine the relationship between expression of intracellular Hsp70 protein and enlargement cervical nodul of NPC. Statistical significance was defined as p <0,05. There were 18 patients NPC patients that met the inclusion and exclusion criteria. Showed negative intracellular Hsp70 expression by 16,67% for all sample in which consist 1 patient of N0, 1 patient of N1, 1 patient of N2, 0 patient of N3. Followed by 27,78% mild positive intracellular Hsp70 expression which consist 0 patient of N0, 2 patients of N1, 0 patient of N2, 3 patients of N3. Followed by 44,44% moderate positive intracellular Hsp70 expression which consist 0 patient of N0, 0 patient of N1, 1 patient of N2, 9 patients of N3. Followed by 11,11% strongly positive intracellular Hsp70 expression which consist 0 patient of N0, 0 patient of N1, 0 patient of N2, 2 patients of N3. Spearman test results test scores p = 0.01 with a correlation coefficient 0.606. Correlation of intracellular Hsp70 protein expression with enlargement cervical nodul of lymphe (N0, N1, N2, N3) in patients with NPC showed significant (p<0.05). In conclusion, there was correlation between increase of the intacellular Hsp70 expression and enlargement cervical nodul of lymphe in nasopharyngeal carcinoma.

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