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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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Abstract

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.
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

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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
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

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 Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

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

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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.
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.
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

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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.
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.
KONTROL OPTIMAL MODEL LESLIE-GOWER DENGAN PEMANENAN PADA POPULASI PREDATOR DAN PERLINDUNGAN PADA PREY Huda, Moh. Nurul; Wigantono, Sri; Syaripuddin, Syaripuddin; Ramadhan, Rizal Furqan
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 15 No 2 (2023): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2023.15.2.8536

Abstract

ABSTRACT. This paper studied the Leslie-Gower predator-prey model with the effects of prey refuge and linear harvesting on predator populations. Prey populations grow as a logistic model when there is no interaction with predators. The predator population is assumed to have economic value. Analysis of Bionomic and Harvesting Control have been studied further. The results showed that the protective effect of prey had an effect on harvesting activity in the population so that it affected profits in predatory harvests. Simulation of several calculations is given to purchase the analysis results..Keywords: Linear harvesting, Leslie-Gower Model, Binomics, prey refuge. ABSTRAK. Artikel ini membahas model predator-prey Leslie-Gower dengan efek perlindungan prey dan pemanenan linear pada populasi predator. Populasi prey tumbuh sebagai model logistik ketika tidak ada interaksi dengan predator. Populasi predator diasumsikan mempunyai nilai ekonomi. Analisis Bionomik dan Kontrol pemanenan telah dikaji lebih lanjut. Hasil penelitian menunjukkan bahwa efek perlindungan prey mempengaruhi terhadap aktivitas pemanenan pada populasi sehingga mempengaruhi laba pada pemanenan predator. Beberapa simulasi perhitungan diberikan untuk mengkonfirmasi hasil analisis.Kata Kunci: Pemanenan linear, Leslie-Gower Model, Bionomik, Perlindungan prey.
Analisis Cluster Single Linkage Berdasarkan Potensi Desa Di Kabupaten Kutai KartanegaraTahun 2019 Suyanto, Suyanto; Syaripuddin, Syaripuddin; Wasono, Wasono
EKSPONENSIAL Vol 12 No 1 (2021)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (614.371 KB) | DOI: 10.30872/eksponensial.v12i1.761

Abstract

Data mining is a step in the process of Knowledge Discovery in Database (KDD) which consists of the application of data analysis and the discovery of algorithms that produce certain enumerations of patterns in the data,Cluster Analysis is one of the methods in multivariate statistical analysis that is used to group objects into groups based on their characteristics, so the objects in one group have more homogeneous characteristics compared to objects in other groups. Single Linkage is a clustering process based on the closest distance between objects. If two objects are separated by a short distance, then the two objects will merge into one cluster. This study aims to obtain a cluster of village potential in Kutai Kartanegara Regency in 2019, based on the variable availability of educational facilities, the availability of health facilities, the availability of health workers, the availability of coin / card public telephones, the existence of lodging, the existence of market buildings, the existence of supermarkets, the existence of banks, the population obtaining credit facilities, the existence of other Non KUD cooperatives., Based on the results of the analysis, it can be seen that, Clusters formed in the grouping of potential villages / villages in Kutai Kartanegara Regency using a single linkage method are as many as 2 clusters.
Penyelesaian Masalah Pemrograman Kuadratik Menggunakan Metode Beale Erlina, Erlina; Syaripuddin, Syaripuddin; Amijaya, Fidia Deny Tisna
EKSPONENSIAL Vol 13 No 1 (2022)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v13i1.889

Abstract

Quadratic programming is a special form of nonlinear programming which has the general form of the objective function in the form of a quadratic functions and the constraints in the form of linear functions. One of the methods used to solve the quadratic programming model is Beale’s method. This method is a modification of the simplex method for linear programming problems. This study aims to determine the optmal results of paddy production data in Balikpapan city using Beale’s method. The quadratic programming model was formed using the least squares method with the objective functions by selecting two types of plants,namely lowland paddy and upland paddy. Furthermore, the quadratic programming model formed that is formed is solved using Beale’s method. The data used is data on the paddy production of balikpapan city in 2005-2019. Based on the calculatios, the objective function is with the constraint functions and . After calculating using Beale’s method, the optimal result for the maximum yield of lowland paddy and upland paddy is quintals with a harvested area of hectares of lowland paddy and a harvested paddy of hectares of upland paddy.
Co-Authors A'yun, Qonita Qurrota Abdi Wijaya, Abdi Abdul Haris Abidah, Abidah Adawiyah, Rabbiatul Alima, Isna Aminah, Esse Andi Wawan Mulyawan, Andi Wawan Arifin Arifin Aryo Hartanto Aribowo Asmaidi Asmaidi Auliya Rahman A’yun, Qonita Qurrota Cahyadi, Aldy Fradana Mahaputra Chairunnisa, Niken Harel Dala, Maria Alensia Deltin Darnah, Darnah Desy Arum Sunarta Dewi, Isma Dimas Raditya Elvita, Melati Erlina Erlina Fakhrurazi, Fakhrurazi Farha, Izzaty Fatmawati, Fatmawati Fauzi, Andri Azmul Ferry Budhi Susetyo Fidia Deny Tisna Amijaya Gusti Ketut Alit Suputra Ika Purnamasari Khaeriyah, Hamzah Khoirunnisa, Kori Mashuri, Arif Memi Nor Hayati Moh. Nurul Huda, Moh. Nurul Muhammad Jamil Barambangi Munawarah Munawarah, Munawarah Munfaati, Rafika Husnia Mushalifah, Mushalifah Mustika, Anggi Winda Nana Nirwana Nanda Arista Rizki Ningtyas, Retno Ayu Nofendri, Yos Oktavia, Vira Permatasari, Welly Dona Purnamasari Putri, Annisa Amalia Putri, Desi Febriani Rahma Wati Rahmat, Mustiwal Ramadhan, Rizal Furqan Raming, Indriasri Rinaldi, Rival Rito Goejantoro, Rito Saderisa, Saderisa Sahputra, Dimas Raditya Said Said, Said Saifannur, Saifannur Sam, Faza Syahrudin Sandariria, Hardina Saputri, Nola Febriana Simahatie, Mai Sitti Harisah Sri Wahyuningsih Suciati, Rara SUHERI, EDI Sulaiman Hamzani Sumantri Mangkuwinata, Denny Suyanto Suyanto Tengku Riza Zarzani N Tulzahrah, Shanaz Tumilaar, Rinancy Wasono, Wasono Wigantono, Sri Yuki Novia Nasution, Yuki Novia Yumna, Munadya Yusak, Monica Yeyen Zainuddin Iba