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2010

Andanawari, A. G., Sumertajaya, I., & Syafitri, U. (2010). Faktor-faktor yang mempengaruhi minat siswa melanjutkan pendidikan ke perguruan tinggi dengan menggunakan regresi logistik (Studi kasus: Minat siswa SMU/sederajat di Kabupaten Garut terhadap STAI Al-Musaddadiyah)[Factors that affect the interests of the students continue their education to college using logistic regression (Case study: The interest of high school students in Garut to Al-Musaddadiyah Islamic Religious School)](Undergraduate thesis). Tesis. Bogor: Institut Pertanian Bogor.
Aidi, M. (2010). Pembinaan Pendidikan Agama IslamPada Sekolah Menengah Atas (SMA) Negeri 1 Anjir Muara. Kecamatan Anjir Muara Kabupaten Barito Kuala.
Rahmawati, R., Djuraidah, A., & Aidi, M. N. (2010). Penggunaan Geographically Weighted Regression (GWR) dengan Pembobot Gauss Kernel untuk Klasifikasi Desa Miskin (Studi Kasus Desa-desa di Kabupaten Jember, Jawa Timur). In Prosiding Seminar Nasional Matematika (Vol. 5, pp. 43–48). Fakultas Teknologi Informasi dan Sains Universitas Katolik Parahyangan Bandung.
Sartono, B., & Syafitri, U. D. (2010). Metode Pohon Gabungan: Solusi Pilihan Untuk Mengatasi Kelemahan Pohon Regresi dan Klasifikasi Tunggal. In Forum Statistika dan Komputasi (Vol. 15).
Silvianti, P., Notodiputro, K. A., & Sumertajaya, I. M. (2010). Multi-locations trials play an important role in plant breeding and agronomic research. Study concerning genotype-environment interaction is needed in the selection of genotype to be released. AMMI (Additive Main Effect and Multiplicative Interaction) is one of the statistical techniques used to analyze data from multi-locations trials. The analysis of AMMI is a combination of analysis between additive main effect and principal component analysis. Multi-location sampling data which were collected several years on several planting season used these analyzed separately. To obtain more comprehensive information of multi-location sampling data, an analysis which combines all of the information through out the years are needed. One of the alternatives is the Bayesian approach. This method utilizes initial information on the estimated parameters and information from samples. The simulation states that prediction with Bayesian methods will produce a better estimator, because the MSE of the Bayesian estimator is smaller than the MSE estimator generated using least squares method. In Forum Statistika dan Komputasi (Vol. 15).
Hadi, A. F., Mattjik, A., & Sumertajaya, I. (2010). Generalized AMMI models for assessing the endurance of soybean to leaf pest. Jurnal Ilmu Dasar, 11(2), 151–159.
Novianti, P., Mattjik, A. A., & Sumertajaya, I. M. (2010). Additive Main Effects Multiplicative Interaction (AMMI) is a widely known analysis used in understanding genotype and environment interaction (GEI) in plant breeding research. The interpretation of AMMI based on biplot visualizes the first two component of principle components analysis. Biplot of AMMI is only an exploration analysis and it does not provide the hypothesis testing, so it can conduct different interpretation by plant breeding researchers. The aim of this research is to find a systematic approach through bootstrap resampling method. Bootstrap resampling method in AMMI model produces confidence region of the first two interaction principle component (and) for genotype and environment respectively. Bootstrap confidence region of and estimated the stability of genotype, thus making AMMI analysis more precise and realiable for characterization and selection of genetic environment. In Forum Statistika dan Komputasi (Vol. 15).
Masjkur, M. (2010). ALGORITMA GENETIK PENDUGAAN PARAMETER MODEL NONLINEAR JERAPAN FOSFOR (Genetic Algorithm for Parameter Estimation of Phosphorus Adsorption Nonlinear Model). In Forum Statistika dan Komputasi (Vol. 15).
Okada, T., Mochamad Afendi, F., Altaf-Ul-Amin, M., Takahashi, H., Nakamura, K., & Kanaya, S. (2010). Metabolomics of medicinal plants: the importance of multivariate analysis of analytical chemistry data. Current Computer-Aided Drug Design, 6(3), 179–196.
Afendi, F. M., Darusman, L. K., Hirai, A., Altaf-Ul-Amin, M., Takahashi, H., Nakamura, K., & Kanaya, S. (2010). System biology approach for elucidating the relationship between Indonesian herbal plants and the efficacy of Jamu. In 2010 IEEE International Conference on Data Mining Workshops (pp. 661–668). IEEE.
Afendi, F. M., Hirai, A., Altaf-Ul-Amin, M., Takahashi, H., Nakamura, K., Kanaya, S., & others. (2010). MODELLING INGREDIENT OF JAMU TO PREDICT ITS EFFICACY. In Forum Statistika dan Komputasi (Vol. 15).
Fitrianto, A., & Midi, H. (2010). Diagnostic-robust generalized potentials for identifying high leverage points in mediation analysis. World Appl Sci J, 11(8), 979–987.
Fitrianto, A., & Midi, H. (2010). Estimating bias and RMSE of indirect effects using rescaled residual bootstrap in mediation analysis. WSEAS Transaction on Mathematics, 9(6), 397–406.
Fitrianto, A. (2010). Robust Estimation Methods and Outlier Detection in Mediation Models (PhD Thesis). Universiti Putra Malaysia.
Fitrianto, A., & Midi, H. (2010). A screening algorithm in simulation of mediation models. In Proceedings of the 4th international conference on Applied mathematics, simulation, modelling (pp. 154–158). World Scientific and Engineering Academy and Society (WSEAS).
Novianti, P., Mattjik, A., & Sumertajaya, I. (2010). Pendugaan kestabilan genotipe pada model AMMI menggunakan metode resampling bootstrap. In Forum Statistika dan Komputasi (Vol. 15, pp. 28–35).
Rahmawati, R., & Djuraidah, A. (2010). Regresi Terboboti Geografis dengan Pembobot Kernel Kuadrat Ganda untuk Data Kemiskinan di Kabupaten Jember. In Forum Statistika dan Komputasi (Vol. 15).
Achsani, N. A., Wijayanto, H., Agustyarti, A., & Lianitasari, D. (2010). Similarity of Economic Structure among Asean+ 3 Economies: AMu1tivariate analysis based on Maastricht Treaty Criterion. European Journal of Social Sciences, 16(3).
Wijayanto, H., Fauzi, A. M., Hahienata, H., Arif, A., Zain, A. F., & others. (2010). Pembuatan Roadmap Pengembangan Satelit LAPAN-IPB untuk ketahanan Pangan Nasional.
Sartono, B., & Syafitri, U. (2010). Ensemble Tree: an Alternative toward Simple Classification & Regression Tree. In Forum Statistika dan Komputasi (Vol. 15, pp. 1–7).
Sartono, B. (2010). Pengenalan Algoritma Genetik Untuk Pemilihan Peubah Penjelas Dalam Model Regresi Menggunakan SAS/IML. In Forum Statistika dan Komputasi (Vol. 15).
Wahyuni, W. T., Darusman, L. K., & Wigena, A. H. (2010). OPTIMIZATION OF EXTRACTION SOLVENT USING SIMPLEX CENTROID WITH AXIAL DESIGN TO OBTAIN PHYLLANTHUS NIRURI HPLC PROFILE. PROCEEDING OF PROCEEDING OF, 654.
SUTIKNO, S., BOER, R., BEY, A., NOTODIPUTRO, K. A., & LAS, I. (2010). Forecasting Model of Rice Production Using Weighted Rainfall Index in Subang, Karawang, and Indramayu Regency. Indonesian Soil and Climate Journal, (32), 133140.
Mamutse, J., Gunawan, A., Sumantri, C., Murtini, S., Sartika, T., Sartika, T., … others. (2010). The effect of major histocompatibility complex and mx genes on immune response from gumboro vaccine of vietnamese Ac chicken. International Journal of Poultry Science, 17(12), 3424–3433.
Saefuddin, A., & Syarifah, S. S. (2010). Percikan pemikiran: kepemimpinan dan pendidikan. Kerjasama Bumi Karya Artha [dengan] IPB Press.
Bangun, Y. R., Mangkuprawira, S., Saefuddin, A., & Djohar, S. (2010). Pemodelan kapabilitas organisasi terhadap kinerja ditinjau dari faktor kepemimpinan-budaya organisasi-perilaku politik dalam organisasi-studi kasus pada kelompok perkebunan kelapa sawit negara dan kelompok perkebunan kelapa sawit swasta. Journal of Technology Management, 9(3), 116020.
Marliati, S., Asngari, P. S., Tjitropranoto, P., & Saefuddin, A. (2010). Faktor-Faktor Yang Berpengaruh Terhadap Kemandirian Petani Tanaman Pangan Beragribisnis Di Kabupaten Kampar, Provinsi Riau. In Forum Pascasarjana (Vol. 33, pp. 221–228).
Saefuddin, A., & Sudarnika, E. (2010). APPLICATION OF THE PROSPECTIVE SPACE-TIME SCAN STATISTIC FOR DETECTING MALARIA CASES HOTSPOTS IN BANGKA DISTRICT, INDONESIA. In Tenth Islamic Countries Conference on Statistical Sciences Statistics for Development and Good Governance (p. 248).
Asngari, P. S., Tjitropranoto, P., Saefuddin, A., & others. (2010). The sustainable productivity of farmers can be realized if farmers own self relience. Farmers’s self relience can be realized if farmers own capacity to optimize self capacity and utilization of agriculture resources capacity. Through multistage cluster sampling technique, found 75 person as farmer’s sample. Research data including primary data and secondary data. Analysis of data done with correlation test, regression test and path analysis. The conclusion of this research is the self reliance level in agribusiness of food crop farmers, including the category low. The low level of self reliance of farmers in agribusiness caused by (a) the low level of capacity development needs of farmers in agribusiness, which include low development needs: productivity capacity; marketing capacity; capacity of the security business/agribusiness; capacity in group management; networking capacity and the capacity in performance improvement/progress;(b) low level of performance of agricultural extension;(c) low levels of non-formal education of farmers. Key words: agriculture extension worker, empowerment, capacity development, self-reliance, agribusiness. In Forum Pasca Sarjana (Vol. 33).
Hafid, H., Gurnadi, R., Priyanto, R., & Saefuddin, A. (2010). IDENTIFICATIONS OF CARCASS C ARACTERISTIC FOR ESTIMATING TE COMPOSITION OF BEEF CARCASS. Journal of the Indonesian Tropical Animal Agriculture, 35(1), 22–26.
Saefuddin, A., Sartono, B., & Setiabudi, N. (2010). Pengenalan Umum Analisis Statistika dengan SAS 9.2 Seri II: Peringkasan dan Penyajian Data. Bogor: IPB.
Soleh, A. M., Safitri, U. D., & Sumertajaya, I. (2010). Ipteks Bagi Masyarakat (IbM) Desa Petir.
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