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All Journal BAHASANTODEA Statistika Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Mechanical Jurnal Aplikasi Statistika & Komputasi Statistik Jurnal Ilmiah Maju Ihtiyadh : Jurnal Manajemen Keuangan Syariah Proceeding International Seminar of Islamic Studies
Syaripuddin Syaripuddin
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Religion Arts Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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KEEFEKTIFAN MODEL PEMBELAJARAN BERBASIS MASALAH DALAM MENULIS TEKS EKSPOSISI SISWA KELAS X SMAN 1 BAMBAIRA KABUPATEN PASANGKAYU Syaripuddin Syaripuddin; Muhammad Jamil Barambangi
Jurnal Ilmiah Maju Vol 2 No 1 (2019): Jurnal Ilmiah Maju Vol.2 No.1 Januari - Juni 2019
Publisher : Badan Penelitian dan Pengembangan Daerah Provinsi Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.752 KB)

Abstract

Penelitian ini bertujuan untuk mengetahui keefektifan penerapan model Pembelajaran Berbasis Masalah (PBM) guna meningkatkan kemampuan menulis teks eksposisi, sehingga model PBM dapat menjadi salah satu alternatif pembelajaran menulis teks eksposisi bagi siswa SMA Negeri I Bambaira.Masalah penelitian adalah; (1) Bagaimana kemampuan menulis teks eksposisi siswa, (2) Bagaimana implementasi model pembelajaran berbasis masalah dalam menulis teks eksposisi, dan(3) Bagaimana keefektifan model pembelajaran berbasis masalah dalam menulis teks eksposisi bagi siswa.Metode yang digunakan dalam penelitian ini adalah quasi experimental design.Populasi penelitian ini adalah siswa kelas X di SMAN 1 Bambaira.Sampel pada penelitian ini adalah dua kelas yaitu kelas X MIPA 1 sebagai kelas eksperimen dan kelas X MIPA 2 sebagai kelas kontrol. Struktur dan kaidah teks eksposisi yang dinilai dalam penelitian ini mencakup lima aspek yaitu; isi, struktur teks, kosakata, keefektifan kalimat, dan mekanik.Berdasarkan hasil pengujian statistik, diperoleh data hasil perhitungan Sig uji-t’ kemampuan menulis teks eksposisi sebesar 0,035. Taraf signifikansi pada penelitian ini adalah 0,05 (tingkat kepercayaan 95%). Berdasarkan perhitungan tersebut diperoleh hasil yaitu terdapat perbedaan yang signifikan antara kemampuan menulis teks ekposisi di kelas eksperimen yang menggunakan model pembelajaran berbasis masalah dengan kemampuan pada kelas control yang tidak menggunakan PBM.Hasil penelitian menunjukkan bahwa menggunakan PBM dalam menulis teks eksposisi lebih efektif. Kata kunci: Model Pembelajaran, Berbasis Masalah, Teks Eksposisi
KEEFEKTIFAN MODEL PEMBELAJARAN BERBASIS MASALAH DALAM MENULIS TEKS EKSPOSISI SISWA KELAS X SMAN 1 BAMBAIRA KABUPATEN PASANGKAYU Syaripuddin, Syaripuddin; Suputra, I Gusti Ketut Alit; Harisah, Sitti
BAHASANTODEA Vol 5, No 4 (2017)
Publisher : BAHASANTODEA

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This research was experimental research. The formulation of the problem in this reserach amounted to three, namely (1) How is the ability to write exposition text in class X MIPA of SMAN 1 Bambaira Pasangkayu Regency?, (2) How is the implementation of exposition text writing learning with problem-based learning model at class X MIPA of SMAN 1 Bambaira Pasangkayu Regency? The results of the ability to write exposition text in the experimental class and the control at class X MIPA of SMAN 1 Bambaira Pasangkayu Regency? This research aims to test the problem-based learning model in order to improve the ability to write exposition text so that the teaching learning process model becomes an alternative learning to write exposition text. This research was a quasi-experimental research method. The design in this research was a quasi experimental design. The population of this research was all students at class X of SMAN 1 Bambaira. The samples were two classes, namely class X MIPA 1 as the experimental class and class X MIPA 2 as the control class. The structure and rules of the exposition text assessed in this research cover five aspects, namely content, text structure, vocabulary, sentence effectiveness, and mechanics. Based on the results of statistical tests, data obtained from the calculation of t-test Sig are obtained 'the ability to write exposition text is 0.035. The significance level in this research was 0.05 (95% confidence level). Based on these calculations, the results of the hypothesis Ho is rejected or the hypothesis Ha is accepted, there is a significant difference between the ability to write exposition text in the experimental class using a problem-based learning model and a control class with a learning model not using problem-based learning at class X of SMAN 1 Bambaira Pasangkayu Regency.
Kekuatan Tarik Multilapis Deposit Las Beberapa Produk Komersial Elektroda AWS A.51 E6013 Syaripuddin Syaripuddin; Ferry Budhi Susetyo; Aryo Hartanto Aribowo; Yos Nofendri
JURNAL MECHANICAL Vol 10, No 1 (2019)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/mech.v10.i1.201903

Abstract

Model Multinomial Bayesian Network pada Data Simulasi Curah Hujan Nanda Arista Rizki; Syaripuddin Syaripuddin; Sri Wahyuningsih
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 12, No 2 (2012)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v12i2.1062

Abstract

Bayesian Networks is one of simple Probabilistic Graphical Models are built from theory of bayesprobability and graph theory. Probability theory Is directly related to data while graph theory directlyrelated to the form representation to be obtained. Multinomial Bayesian Network method is onemethod that involves the influence of spatial linkages suggest a link between rainfall observationstations. The objective of this study was seek the result of the model probabilistic a graphMultinomial Bayesian Network and apply it in forecasting with Oldeman classification based on oneor two rainfall stations are known. This research uses simulated data for 14 stations respectively each300 sets of data. The data generated is normal distribution of data based on parameters that havebeen determined and classified using the classification Oldeman. Bayesian Network structureconstructed using the K2 algorithm. Markov chain transition matrix is formed based on the Bayesianof the nodes are directional. Model of Multinomial Bayesian Network was established based onMarkov transition matrices. The result of probability model can predict the probability of rainfall insome stations based on one or two rainfall stations are known, which is a model graph with 14 nodesand 13 arcs.
The Impact Of The Development Of The Tourist Object Of The Pantan Terong In Enhancing The Local Economy Syaripuddin Syaripuddin
Proceeding International Seminar of Islamic Studies INSIS 1 (December 2019)
Publisher : Proceeding International Seminar of Islamic Studies

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Abstract

The study discusses the impact of developing Pantan Terong Tourism Objects in Improving the Economy of Local Communities. This type of research is descriptive with a qualitative approach. Base this research in Daling Village, Bebesen District, Central Aceh District, Aceh Province. The results of the study note that the impact of the development of the attractions of the Pantan Terong has the potential to improve the economy of the local community, this can be seen from the increasing volume of tourist visits that increase from year to year. The level of development of the attractions of the Pantan Terong has been able to improve the economy of the local community. From this research it shows that the development of the tourist object of Pantan Terong has a positive impact on improving the economy of the local community.
CATEGORIC DATA GROUPING BY ALGORITHM QUICK ROBUST CLUSTERING USING LINKS (QROCK) (Case Study: Status of Value Addrd Tax Payments at the Samarinda Ulu Primary Tax Office in 2018) Nana Nirwana; Memi Nor Hayati; Syaripuddin Syaripuddin
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 9, No 1 (2021): Jurnal Statistika
Publisher : Department Statistics, Faculty Mathematics and Natural Science, Universitas Muhammadiyah S

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.9.1.2021.18-27

Abstract

Clustering is a method for finding and grouping data that have similar characteristics (similarity) between one data and another. The method of grouping used in this study is the Qrock Algorithm (Quick Robust Using Links).The Qrock Algorithm has a more efficient method to produce the final cluster when the Rock Algorithm has no link beetwen the clusters.The concept of the Qrock Algorithm basically has the same principles as the Rock Algorithm, except that the Qrock Algorithm classifies objects only based on the neighbors of each object. The purpose of this study was to classify 200 Value Added Tax Payment Status data at the Samarinda Ulu Tax Service Office in 2018. Based on the analysis results, the threshold value ( ) = 0.1; 0.2; 0.3; 0.4; 0, 5 and 0.6 produce 1 cluster while the threshold values ( ) = 0.7; 0.8 and 0.9 produce 56 clusters.
PENYELESAIAN PEMBIAYAAN BERMASALAH PADA PEMBIAYAAN MURABAHAH DI BANK ACEH SYARIAH TAKENGON Syaripuddin Syaripuddin
Ihtiyath : Jurnal Manajemen Keuangan Syariah Vol 4 No 1 (2020): Vol 4 No 1 September 2020
Publisher : Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/ihtiyath.v4i1.1402

Abstract

Penelitian ini bertujuan untuk mengetahui bagaimana penyelesaian pembiayaan bermasalah pada pembiayaan murabahah di bank aceh syariah takengon. Dalam penelitian ini penulis menggunakan data primer dan sekunder hasil wawancara yang dilakukan dengan pihak bank yang berkaitan dengan pembiayaan. Tujuan dari pada penelitian ini (1) untuk mengetahui bagaimana cara penyelesaian pembiayaan bermasalah pada pembiayaan murabahah pada bank aceh syariah (2) untuk mengetahui apa yang dilakukan pihak bank bagi nasabah yang tidak mampu membayar angsuran. Jenis penelitian ini adalah deskriptif kualitatif, dengan teknik pengumpulan data menggunakan wawancara, dokumentasi dan observasi. Informan pada penelitian ini adalah pegawai dan nasabah bank aceh syariah takengon. Adapun hasil dari pada penelitian ini adalah cara untuk menyelesaiakan pembiayaan bermasalah atau untuk penyelamat terhadap pembiayaan bermasalah yaitu dengan cara, yang pertama dengan cara Rescheduling suatu tindakan yang diambil cara memperpanjang jangka waktu pembiayaan nasabah, dimana nasabah diberikan keringanan oleh pihak bank agar dapat melunasi kewajibannya. Yang kedua dengan cara Reconditioning Merupakan upaya lembaga keuangan dalam menyelamatkan pembiayaan dengan mengubah seluruh atau sebagai perjanjian yang telah dibuat oleh lembaga keuangan dangan nasabah, karena nasabah tidak mampu lagi membayar angsurannya. Dan yang terakhir yaitu Penyitaan Jaminan Penyitaan jaminan ini merupakan jalan terakhir bagi pihak bank untuk menyelasaikan pembiayaan bermasalah apabila nasabah benar-benar tidak mempunya iktikad baik dalam melunasi kewajibannya atau memang nasabah tidak mampu lagi membayar semua hutang-hutangnya kepada pihak bank.
Peramalan Laju Produksi Minyak Bumi Menggunakan Metode Decline Curve Analysis dan ARIMA Rahma Wati; Sri Wahyuningsih; Syaripuddin Syaripuddin
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 11 No 1 (2019): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (569.936 KB) | DOI: 10.34123/jurnalasks.v11i1.155

Abstract

The DCA (Decline Curve Analysis) and ARIMA (Autoregressive Integrated Moving Average) methods are quantitative forecasting methods. The assumption of this method is the previous data aspects will continue in the future. DCA calculation is done by determining decline curve type. ARIMA modeling is done by five steps, those are identification model, estimating parameters, testing the parameters significance, diagnostic checking and forecasting. Based on the results of analysis with DCA, obtained that is exponential decline and the results of forecasting showed the decline that tends to be constant. And the analysis using ARIMA, obtained that is the ARIMA model (1,1,0) and the results of forecasting showed relatively constant fluctuations. Keywords: ARIMA, DCA, decline curve, the rate of oil production.
Co-Authors Aryo Hartanto Aribowo Ferry Budhi Susetyo Gusti Ketut Alit Suputra Memi Nor Hayati Muhammad Jamil Barambangi Nana Nirwana Nanda Arista Rizki Rahma Wati Sitti Harisah Sri Wahyuningsih Yos Nofendri