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Aceng Komarudin Mutaqin
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INDONESIA
Statistika
Published by Universitas Islam Bandung
ISSN : 14115891     EISSN : 25992538     DOI : https://doi.org/10.29313/jstat.v19i2.4898
Core Subject : Economy, Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Mathematics
STATISTIKA published by Bandung Islamic University as pouring media and discussion of scientific papers in the field of statistical science and its applications, both in the form of research results, discussion of theory, methodology, computing, and review books.
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 8 Documents
 1 
Search results for , issue "Vol 5, No 2 (2005)" : 8 Documents clear
Estimasi Parameter dan Inferensi pada Rancangan Blok Tak Lengkap Rohmatul Fajriyah
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 5, No 2 (2005)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v5i2.923

Abstract

Rancangan blok random lengkap memuat perlakuan yang diuji dalam blok dan setiap blokterdiri dari tepat satu observasi pada setiap perlakuan. Kemudian karena variasi antara plot dalamblok yang sama lebih kecil daripada variasi antara plot dalam plot yang berbeda, maka diperolehpenambahan ketepatan dari perbandingan varitas dengan kemampuan untuk mengeliminasiperbedaan blok. Masalah yang timbul adalah ketika blok-blok yang tersedia tidak cukup besar untukmenampung satu plot dengan setiap varitas. Hasil studi literatur menunjukkan estimasi parameterdan inferensi (melalui tabel anava) untuk beberapa rancangan blok random tak lengkap
Second OrderMeasurement Model of Teaching Performance Sutawanir Darwis; A Zanbar Soleh; Roslan Lacutonsina
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 5, No 2 (2005)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v5i2.919

Abstract

This paper uses second order measurement model to analyse teaching performance. Theinstrument comprising lecturer competency, lecturer attitude, lecturer organization, and studentmotivation. A survey of first year calculus student was used to test the relationships between theconstructs in the model. Students were ask to evaluate the teaching activities using a 15 itemsquestionaire on a five point Likert scale ranging from strongly agree to strongly disagree. In general,the survey results supported the proposed second order measurement model. The data showed thatthe latent construct were strongly correlated and significantly affected the quality teaching strategy.
Strategi Pembentukan Model Regresi Logistik Nusar Hajarisman
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 5, No 2 (2005)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v5i2.924

Abstract

Metode pemilihan model regresi terbaik bagi sebagian pengguna statistik merupakan suatu halyang relatif sulit dilakukan karena menyangkut dua tujuan yang berbeda. Pertama, kita inginmemasukkan sebanyak mungkin variabel agar diperoleh model dugaan yang terandalkan. Kedua, kitaingin melibatkan sesedikit mungkin variabel ke dalam model agar diperoleh varians dari taksiranrespons yang kecil. Dalam makalah ini akan diberikan beberapa prosedur atau strategi pembentukanmodel regresi logistik yang banyak diadopsi dari prosedur regresi linear biasa. Prosedur pembentukanmodel regresi logistik yang akan dibahas dalam makalah ini diantaranya adalah prosedur pemilihanvariabel, regresi logistik bertahap (stepwise logistic regression), dan regresi logistik himpunan bagianterbaik (best subsets logistic regression).
StochasticModels For Global Optimization Using Newton’sMethod Siska Candra Ningsih; Yosza Dasril
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 5, No 2 (2005)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v5i2.920

Abstract

This paper will discuss the randomness and normality tests of the data collected by splittingthe interval [a,b] into several subintervals [xi,xi+1] (i = 0, ..., n-1) with x0 = a and xn = b for verifyingthat the optimization problem constitutes a Wiener process. Furthermore, the data can be used toevaluate the efficiency of probabilistic algorithm as proposed in this paper in determining the bestsubinterval to be explored by Newton’s method for searching the optimal point of global optimizationproblem.
Pengujian Hipotesis Parameter Bentuk pada Distribusi Weibull Menggunakan Statistik Order Aceng Komarudin Mutaqin; Maya Dian Wati
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 5, No 2 (2005)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v5i2.925

Abstract

Makalah ini membahas metode pengujian hipotesis parameter bentuk dari distribusiWeibull, yang statistik ujinya didasarkan pada statistik order dari data sampel, dimana nilaiparameter bentuk dari distribusi Weibull yang berbeda akan mempengaruhi bentuk distribusinyayang merupakan turunan dari distribusi Weibull. Sebagai bahan aplikasi dari metode tersebut akandigunakan data sekunder mengenai waktu kegagalan dan waktu berfungsi kembali setelahmengalami perbaikan dari komponen mill air system pada mesin pulverized coal di PT. PJB PoitonProbolinggo, Jawa Timur.
Taksiran Level Tabel Kematian dengan Metode Trussell pada Populasi Tertutup Yayat Karyana
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 5, No 2 (2005)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v5i2.921

Abstract

Many methods for estimation level of Life Tabele. One if is Trussel Method. This method canbe used for open population. If no migration effect it can be used in close population too. It based ondeath probability value at age x, as Q(x)’ = k(i) D(i,)’, where: k(i) = a(i) + b(i) P(1)/P(2) + c(i) P(2)/P(3) ,a(i), b(i) and c(i) multiplier of Trussel, D(i) is proportion of children dead by women in age group i andP(i) is average of parity per women in ege group i. In this paper will estimate level of Life Table of WestJava and Banten whit assumtion open and closed population.
Penentuan Kondisi Optimal Respon dengan Menggunakan Microsoft Excel Suwanda Suwanda
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 5, No 2 (2005)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v5i2.926

Abstract

Analasis permukaan respon merupakan gabungan metode statistik dan matematik dalamrangka menentukan kondisi dari beberapa faktor yang mengoptimalkan respon. Perancanganpercobaan optimal dan analisis regresi merupakan metode statistik yang terlibat dalam analisis ini.Metode matematika yang terlibat adalah meliputi penentuan titik stationer. Walaupun secara teoriperilaku titik stationer dapat diturunkan, namun dari segi praktis tidaklah sederhana. Dalammakalah ini dibahas prosedur interaktif pencarian solusi dengan menggunakan Microsoft Excel.Keuntungan dari pendekatan ini adalah mudah dilakukan, lagi pula spreadsheet Excel sangatpopuler bagi penguna personal komputer di Indonesia.
Forecasting Rice Yields Based ofMarkov Chain theory Ma. Divina S. Paraguas; Ferdinand J. Paraguas; Anton Abdulbasah Kamil
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 5, No 2 (2005)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v5i2.922

Abstract

The study explores the application of Markov Chain theory for rice yield forecasting. Yieldforecasts are based on the eco-physiological process of rice growth given measurable rice cropcharacteristics and weather data at intermediate times in the growing season of the rice crop. TheORYZA1 model is used to simulate a database containing rice yields and rice crop conditions atspecified times during the growing season. The model was ran on 32 years of historical weather data(1959 - 1990) from the meteorological station at the International Rice Research Institute (IRRI), LosBaños(121 15 E Latitude: 14 11 N Altitude: 21.0m), Laguna, Philippines. As input to the model, thestudy adopted the parameters on one of the representative yield potential field experiments at IRRIduring the 1992 dry season for the IR72 variety planted on a 15x15 m2 plot. Based on the output ofORYZA1, a Markov Chain (matrix of transition probabilities) was constructed to provide forecastdistributions of rice yield for various rice condition classes at different rice phenological stages priorto harvest. This Markov Chain can provide several statistics of interests. This ranges from mean,percentile (median) and standard error of the forecasts to probability interval forecasts and predictedprobabilities of exceeding (or falling bellow) target yields. The simulated rice yield obtained fromORYZA1 model for 32 years ranged from 8.33 to 10.88 ton ha-1 with an average of 9.57 ton ha-1 anda standard deviation of 0.60 ton ha-1. Forecasted yields from the matrix of transition probabilitiesranged from 8.58 to 9.45 ton ha-1 and standard deviations ranging from 0.39 to 0.60 ton ha-1.Results also showed that forecasted yields are more consistent when forecasting starts when the riceplants are more mature.

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