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All Journal FORUM STATISTIKA DAN KOMPUTASI Pythagoras: Jurnal Matematika dan Pendidikan Matematika Media Statistika Jurnal Ilmu Dasar Jurnal Manajemen Teknologi Jurnal Agro Ekonomi JAM : Jurnal Aplikasi Manajemen Indonesian Journal of Business and Entrepreneurship (IJBE) JUITA : Jurnal Informatika Indonesian Journal of Biotechnology Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Manajemen. AL-ISHLAH: Jurnal Pendidikan International Research Journal of Business Studies (E-Journal) Jurnal Penelitian Pertanian Tanaman Pangan BAREKENG: Jurnal Ilmu Matematika dan Terapan Indonesian Journal of Statistics and Its Applications JURNAL AGRONIDA Jurnal Manajemen Jurnal Agro Ekonomi Journal of Data Science and Its Applications Xplore: Journal of Statistics
I Made Sumertajaya
Departemen Statistika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor Kampus Darmaga, Bogor 16680
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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PENGARUH ORGANISASI PEMBELAJAR DAN INOVASI TERHADAP PENINGKATAN KINERJA UKM DI KOTA BOGOR Manuel Leonard Sirait; Anggraini Sukmawati; I Made Sumertajaya
Jurnal Manajemen. Volume 19, Nomor 2, Tahun 2015
Publisher : Jurnal Manajemen.

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

Abstract

The lack of human resources is one of the problem that small and medium enterprises (SMEs) has faced. Human resources in SMEs dont have sufficient knowledge and information and it effects the performances of SMEs. Dealing with people of ASEAN Economic Community will effect the resistance of SMEs in Bogor, due to the competitive and making an increase in quality of human resources towards SMEs in Bogor. This research was to analyze the effect of the learning organization and innovation towards performance of SMEs in Bogor. This research was conducted in Bogor with 46 samples for SMEs and 149 for respondent samples. The technique of sampling was conducted by using multi stage sampling namely the combination of stratified random sampling and proportional sampling. The tabulation data was analyzed by Structural Equation Modelling (SEM) by approaching of Partial Least Square (PLS). The result of this research were (1) the existence of significant influence between learning organization toward innovation, (2) the learning organization gives a significant effect towards the performance of SMEs, (3) innovation gives a significant effect towards the performance of SMEs in Bogor. 
KERAGAAN REGRESI LS, LAD, DAN MLAD PADA DATA DELIVERY TIME (The Performance of LS, LAD, and MLAD Regression on Delivery Time Data) Setyono, Setyono; Sumertajaya, IM; Kurnia, A; Mattjik, AA
JURNAL AGRONIDA Vol 2, No 1 (2016)
Publisher : Universitas Djuanda Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (984.471 KB) | DOI: 10.30997/jag.v2i1.750

Abstract

Pendugaan koefisien regresi berbasis optimasi sisaan yang dikenal adalah dengan carameminimumkan jumlah kuadrat sisaan (LS) dan meminimumkan jumlah sisaan mutlak (LAD).Pendugaan dengan cara meminimumkan maksimum sisaan mutlak (MLAD) belum dikembangkan.Tujuan penelitian ini adalah untuk mengetahui apakah program linier dapat digunakan untukmendapatkan penduga koefisien regresi yang meminimumkan maksimum sisaan mutlak danmembandingkan hasilnya dengan hasil pendugaan menggunakan metode LS dan LAD. Data yangdigunakan adalah data Delivery Time yang biasa digunakan untuk uji coba metode regresi. Hasilpenelitian menunjukkan bahwa program linier dapat digunakan untuk mendapatkan pendugakoefisien regresi yang meminimumkan maksimum sisaan mutlak, pada data Delivery Time regresiLAD paling baik menurut kriteria validasi silang, sedangkan regresi LS paling stabil menurutsemua kriteria. Dalam metode MLAD dimungkinkan diperoleh subset pengamatan yangmenghasilkan penduga koefisien regresi yang sama besar dengan penduga koefisien regresi darikeseluruhan pengamatan.Kata kunci : MLAD, program linier, regresi, sisan mutlak, validasi silang
PENGARUH ORGANISASI PEMBELAJAR DAN INOVASI TERHADAP PENINGKATAN KINERJA UKM DI KOTA BOGOR Sirait, Manuel Leonard; Sukmawati, Anggraini; Sumertajaya, I Made
Jurnal Manajemen Vol 19, No 2 (2015): June 2015
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (159.381 KB) | DOI: 10.24912/jm.v19i2.127

Abstract

Permasalahan yang dihadapi oleh UKM salah satunya ada keterbatasan sumberdaya manusia, yaitu kurangnya pengetahuan dan informasi yang dimiliki sehingga berpengaruh terhadap kinerja UKM.  Menghadapi Masyarakat Ekonomi ASEAN akan mempengaruhi daya tahan UKM Kota Bogor karena persaingan yang semakin ketat dan melakukan perbaikan kualitas sumberdaya manusia pada UKM di Kota Bogor.  Penelitian ini bertujuan untuk menganalisis pengaruh dari organisasi pembelajar dan inovasi terhadap kinerja UKM Kota Bogor.  Penelitian ini dilakukan di Bogor dengan jumlah sampel UKM sebanyak 46 UKM dan sampel responden berjumlah 149 orang.  Teknik pengambilan sampel dilakukan dengan menggunakan teknik multi stage sampling yaitu gabungan dari teknik stratified random sampling dan proportional sampling. Pengolahan data menggunakan analisis Structural Equation Modelling (SEM) dengan pendekatan Partial Least Square (PLS).  Hasil analisis pada penelitian ini menunjukkan bahwa (1) terdapat pengaruh yang siginifkan antara organisasi pembelajar terhadap inovasi, (2) organisasi pembelajar memberikan pengaruh yang signifikan terhadap kinerja UKM, (3) inovasi memberikan pengaruh yang signifkan terhadap kinerja UKM Kota Bogor.The lack of human resources is one of the problem that small and medium enterprises (SMEs) has faced.  Human resources in SMEs dont have sufficient knowledge and information and it effects the performances of SMEs.  Dealing with people of ASEAN Economic Community will effect the resistance of SMEs in Bogor, due to the competitive and making an increase in quality of human resources towards SMEs in Bogor.  This research was to analyze the effect of the learning organization and innovation towards performance of SMEs in Bogor.  This research was conducted in Bogor with 46 samples for SMEs and 149 for respondent samples.  The technique of sampling was conducted by using multi stage sampling namely the combination of stratified random sampling and proportional sampling.  The tabulation data was analyzed by Structural Equation Modelling (SEM) by approaching of Partial Least Square (PLS).  The result of this research were (1) the existence of significant influence between learning organization toward innovation, (2) the learning organization gives a significant effect towards the performance of SMEs, (3) innovation gives a significant effect towards the performance of SMEs in Bogor.
Model Perilaku Keselamatan Kerja Karyawan pada Industri Berisiko Tinggi Huda, Usep Firdaus; Sukmawati, Anggraini; Sumertajaya, I Made
Jurnal Manajemen Teknologi Vol 15, No 1 (2016)
Publisher : SBM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/jmt.2016.15.1.4

Abstract

Abstrak. Tingkat kecelakaan kerja di Indonesia masih tinggi dan cenderung meningkat setiap tahunnya. Faktor yang paling dominan sebagai penyebab terjadinya kecelakaan di industri berisiko tinggi adalah rendahnya perilaku keselamatan kerja. Penelitian ini dilakukan pada karyawan Stasiun Pengisian Bulk Elpiji (SPBE) di Wilayah Bogor. Penelitian ini bertujuan untuk mengembangkan model perilaku keselamatan kerja karyawan pada industri berisiko tinggi. Beberapa faktor yang memiliki pengaruh terhadap perilaku keselamatan kerja antara lain: gaya kepemimpinan safety, iklim keselamatan kerja, kepuasan kerja, kelelahan, dan motivasi keselamatan kerja. Populasi penelitian adalah seluruh karyawan SPBE di Wilayah Bogor. Pengambilan sampel dilakukan dengan teknik multy stage cluster random sampling dua tahap. Tahap pertama SPBE dipisahkan berdasarkan cluster lokasinya; Bogor Barat, Bogor Timur, Bogor Utara, dan Bogor Tengah. Tahap kedua karyawan SPBE dipisahkan berdasarkan stratifikasi lingkungan kerja; kantor dan lapangan. Sebanyak 100 kuesioner disebarkan, 92 yang kembali dan 69 yang dianalisis. Data responden dianalisis dengan SEM-PLS menggunakan software smart PLS. Model yang terbangun menggambarkan bahwa kepemimpinan safety dengan gaya participating dan delegating memiliki pengaruh positif terhadap iklim keselamatan kerja dan perilaku patuh terhadap prosedur keselamatan kerja, motivasi keselamtan kerja memiliki pengaruh positif terhadap perilaku keselamatan kerja, sedangkan motivasi keselamatan kerja karyawan dipengaruhi oleh iklim keselamatan kerja.Kata kunci: gaya kepemimpinan safety, iklim keselamatan kerja, kecelakaan kerja, motivasi keselamatan kerja, perilaku keselamatan kerja.Abstract. Workplace accident rate in Indonesia is still high and likely to increase each year. The most dominant factor which causes accidents to happen in high-risk industries is because of the low behaviour of the workers' safety work. The research was conducted on the employees of LPG Bulk Filling Station (SPBE) in Bogor Region. The aim of this research is conducted to develop a model of the worker's safety behavior on high-risk industries. Some of the factors that have an influence on the safety behavior, among others: safety leadership style, safety climate, job satisfaction, fatigue, and safety motivation. The population of this research is all employees of SPBE ini Bogor region. The samples were taken by using multy stage cluster random sampling technique with two stages. The first stage, SPBE separated by location, and the second, employees is separated by working environment; office and field. A total of 100 questionnaires were distributed, of which 92 were returned and 69 were analyzed. Respondent data were analyzed by SEM-PLS using smart PLS software. The resulting model showed that safety leadership by participating and delegating style has a positive effect on safety climate and workers' safety behaviour. Worker's safety motivation has a positive effect on workers' safety behaviour, and worker's safety motivation affected by the safety climate.Keywords: safety climate, safety leadership, safety motivation, safety behaviour, workplace accident
PENDEKATAN GEOGRAPHICALLY WEIGHTED ZERO INFLATED POISSON REGRESSION (GWZIPR) DENGAN PEMBOBOT FIXED BISQUARE KERNEL PADA KASUS DIFTERI DI INDONESIA Ismah, Ismah; Sumertajaya, I Made; Djuraidah, Anik; Fitrianto, Anwar
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (679.128 KB) | DOI: 10.30598/barekengvol14iss1pp039-046

Abstract

The number of deaths due to diphtheria is counts data and there is a considerable presence of zeros (excess zeros). Besides, data on the spread of disease are generally geographically oriented or observed in each particular region, which is a type of spatial data. Geographically Weighted Zero Inflated Poisson Regression (GWZIPR), as the development of Geographically Weighted Regression (GWR) and Zero Inflated Poisson (ZIP) models will be used as a model in processing provincial diphtheria data in Indonesia in 2018, with the independent variable percentage of diphtheria cases (X1), percentage of vaccinated numbers (X2) and percentage of the population (X3) in each province in Indonesia. Estimating model parameters uses the method of maximum likelihood estimation. While the weighting function used is fixed bisquare kernel. Data is processed using software R packages lctools. The results were obtained if the model involved all three independent variables, the effect of the three independent variables on the number of deaths due to diphtheria was not significant. This is because there is a strong and significant relationship between independent variables, so that if the model does not involve a variable percentage of the population (population density), the percentage of vaccinated people affects the number of deaths caused by diphtheria significantly in an area. So that the provision of immunization vaccines can reduce the number of deaths caused by diphtheria
Pemodelan Pengukuran Luas Panen Padi Nasional Menggunakan Generalized Autoregressive Conditional Heteroscedastic Model (GARCH) Iqbal, Teuku Achmad; Sadik, Kusman; Sumertajaya, I Made
Jurnal Penelitian Pertanian Tanaman Pangan Vol 33, No 1 (2014): April 2014
Publisher : Pusat Penelitian dan Pengembangan Tanaman Pangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (220.304 KB) | DOI: 10.21082/jpptp.v33n1.2014.p17-26

Abstract

This study was aimed to build a model for the estimation of national harvested area of rice by incorporating element of variant heterogeneity and the influence of asymmetry factors on time series data using five types of GARCH models, namely: symmetric GARCH, exponential asymmetric GARCH, quadratic asymmetric GARCH, Threshold GARCH, and non-linear asymmetric GARCH. Those models were compared and evaluated, and then the best model was used to predict the accuracy of the national rice harvested area. The results showed that two types of GARCH had significant coefficient, indicating the validity of the model. Those models were symmetric GARCH and quadratic GARCH models. Based on the value of mean absolute percentage error (MAPE) for the twelve month periods ahead, quadratic GARCH model was better than the symmetric GARCH model. Furthermore, based on the value of mean absolute deviation (MAD) and mean square error (MSE), quadratic GARCH model also seemed to be a better model than symmetric GARCH model. The best model can be used to predict the harvested area in the subsequent year.
Determination of Critical Productivity Level on Cluster-Based Area of Rice Crop Insurance in Java Haryastuti, Rizqi; Pasaribu, Sahat M.; Aidi, Muhammad N; Sumertajaya, I Made; Sutomo, Valantino A; Kusumaningrum, Dian; Anisa, Rahma
Jurnal Agro Ekonomi Vol 39, No 1 (2021): Jurnal Agro Ekonomi
Publisher : Pusat Sosial Ekonomi dan Kebijakan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jae.v39n1.2021.1-13

Abstract

IndonesianKesenjangan tingkat produktivitas padi di Indonesia cukup besar yang di antaranya dipengaruhi oleh luasnya wilayah pertanaman. Hal ini berdampak pada desain dan penerapan model Asuransi Usaha Tani Padi (AUTP) berbasis produktivitas. Perluasan klaster pada tingkat provinsi diperkirakan dapat mengurangi keragaman produktivitas di tingkat wilayah kota/kabupaten sebagai risiko dasar pemanfaatan skema AUTP berbasis klaster. Klaster, sebagai wilayah atau zona, diperlukan untuk menentukan indeks kritis produktivitas yang akurat dalam rangka penghitungan tingkat premi yang tepat. Kajian ini bertujuan untuk menentukan tingkat produktivitas kritis pada lahan padi yang menerapkan skema AUTP. Kajian ini menggunakan analisis statistik dengan pendekatan batas bawah Two Sigma yang dapat dianggap sebagai batas produktivitas kritis untuk setiap klaster. Teknik ini memberikan persentase yang rendah atas klaim yang terjadi, serta ekspektasi dan simpangan baku dari risiko dasar kerugian. Tarif premi murni yang diperoleh adalah Rp85.191,18, hampir 2,5 kali lipat lebih kecil dibandingkan dengan menggunakan teknik lain sebagai batas poduktivitas. Hasil kajian ini mengungkapkan bahwa penggunaan skema berbasis klaster lebih baik dari skema berbasis provinsi, sebagaimana ditunjukkan oleh nilai TVaR. Kajian ini menyarankan agar Kementerian Pertanian dapat merancang model AUTP berbasis produktivitas berdasarkan klaster dengan setiap klaster memiliki nilai indeks produktivitas kritis yang berbeda untuk menetapkan tingkat premi yang dikenakan.EnglishThere is a large gap in productivity of paddy in Indonesia which is, among others affected by the area size of crop planting. This condition should influence the design and application model of the rice crop insurance scheme. Developing clusters under the province level is recommended to reduce the heterogeneous productivity as basis risk within regencies/municipalities in improving the area yield index of crop insurance policy in Indonesia. Clusters, as the zone, are necessary to determine accurate critical yield index leading to a more precise premium rate making. This study aims to determine critical productivity level on rice crop insurance area. This study applied statistical analysis using the lower bound of Two Sigma as a critical yield for each cluster. This technique provides a small percentage of claim, and the expectation and standard deviation of basis risk loss. The pure premium rate obtained from the analysis is IDR85,191.18, that is almost 2.5 times less than using other methods as trigger productivity. The analysis result emphasized that the use of the cluster-based scheme is better than the province-based as shown by TVaR value. The study suggests that the Ministry of Agriculture could design the area yield index based on clusters as each cluster will have a different critical productivity index with adjusted premium rate value.
UTILIZATION OF STUDENT’S T DISTRIBUTION TO HANDLE OUTLIERS IN TECHNICAL EFFICIENCY MEASUREMENT Zulkarnain, Rizky; Djuraidah, Anik; Sumertajaya, I Made; Indahwati, Indahwati
MEDIA STATISTIKA Vol 14, No 1 (2021): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/medstat.14.1.56-67

Abstract

Stochastic frontier analysis (SFA) is the favorite method for measuring technical efficiency. SFA decomposes the error term into noise and inefficiency components. The noise component is generally assumed to have a normal distribution, while the inefficiency component is assumed to have half normal distribution. However, in the presence of outliers, the normality assumption of noise is not sufficient and can produce implausible technical efficiency scores. This paper aims to explore the use of Student’s t distribution for handling outliers in technical efficiency measurement. The model was applied in paddy rice production in East Java. Output variable was the quantity of production, while the input variables were land, seed, fertilizer, labor and capital. To link the output and inputs, Cobb-Douglas or Translog production functions was chosen using likelihood ratio test, where the parameters were estimated using maximum simulated likelihood. Furthermore, the technical efficiency scores were calculated using Jondrow method. The results showed that Student’s t distribution for noise can reduce the outliers in technical efficiency scores. Student’s t distribution revised the extremely high technical efficiency scores downward and the extremely low technical efficiency scores upward. The performance of model was improved after the outliers were handled, indicated by smaller AIC value.
Factors Affecting Employee Performance during Work from Home Aropah, Vina Da'watul; Sarma, Ma'mun; Sumertajaya, I Made
INTERNATIONAL RESEARCH JOURNAL OF BUSINESS STUDIES Vol 13, No 2 (2020): August-November 2020
Publisher : Universitas Prasetiya Mulya

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

Abstract

The Corona Virus Disease (Covid-19) pandemic in Indonesia began with the discovery of Covid-19 sufferers on March 2, 2020. Coronavirus is a group of viruses that can cause disease in animals or humans. To respond the conditions of the Covid-19 outbreak, NPPA issued a regulation concerning adjustments to the work system of the government employee in efforts to prevent the spread of Covid-19. This study uses census sampling, where all members of the population used as samples. The total responden of the Government Employee in NPPA is 128 employees, who are works mostly at home during the pandemic. The research data used primary and secondary data. Comparison using PLS-SEM as analyzing the data. The result of the research showed that leadership and work environment have impact on employee performance, whereas organizational support has no impact on employee performance.Keywords: Leadership Work Environment Organizational Support Employee Performance Work from Home.* Department of Management, Faculty of Management, Institut Pertanian Bogor https://doi.org/10.21632/irjbs.13.2.201-214
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 collecte Pika Silvianti; Khairil Anwar Notodiputro; I Made Sumertajaya
FORUM STATISTIKA DAN KOMPUTASI Vol. 15 No. 1 (2010)
Publisher : FORUM STATISTIKA DAN KOMPUTASI

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Abstract

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.
Co-Authors A Kurnia A. A. Mattjik AA Mattjik Abd. Rasyid Syamsuri Abdu Alifah Abdul Aziz Nurussadad Ade Gusalinda Agustin Faradila Ahmad Anshori Mattjik Ahmad Ansori Matjjik Ahmad Ansori Mattjik Ahmad Ansori Mattjik Aidi, Muhammad N Aji Hamim Wigena Akbar Rizki Alfian Futuhul Hadi Anang Kurnia Andi Setiawan Andrew Donda Munthe Anggraini Sukmawati Anik Djuraidah Aropah, Vina Da'watul ASEP SAEFUDDIN Choirun Nisa Cici Suhaeni Debora Chrisinta Dian Kusumaningrum Doni Suhartono Dwi Yoga Ari Wibowo Dwi Yulianti Emeylia Safitri Erfiani Erfiani Erwina Erwina Evita Choiriyah Farit M Afendi Farit Mochamad Afendi Faula Arina Fitria Hasanah Fitrianto, Anwar Halimatus Sa'diyah Hari Wijayanto Hari Wijayanto Haryastuti, Rizqi Hilda Zaikarina Huda, Usep Firdaus I Gede Nyoman Mindra Jaya Ilma Nabila Imam Adiyana Indahwati Indahwati Indahwati Indahwati Indonesian Journal of Statistics and Its Applications IJSA Iqbal, Teuku Achmad Ismah, Ismah Isti Rochayati Itasia Dina Sulvianti Jamaluddin Rabbani Harahap Jono Mintarto Mundandar K A Notodiputro Kurnia, A Kusman Sadik M. Syamsul Maarif Ma'mun Sarma Manuel Leonard Sirait Manuel Leonard Sirait Manuel Leonard Sirait Mattjik, AA Mohamad Rhesa Adisty Mohammad Syamsul Maarif Muhamad Nur Aidi Muhammad N Aidi Muhammad Nur Aidi Muhammad Ulinnuha Mulianto Raharjo Newton Newton Novi Hidayat Pusponegoro Novia Puspasari Nurus Sabani Pasaribu, Sahat M. Pepi Novianti Pika Silvianti Pudji Muljono Rahma Anisa Rahma Anisa Rizqi Haryastuti Sahat M. Pasaribu Sarah Fadhlia Satria Yudha Herawan SATRIYAS ILYAS Septian Rahardiantoro Setyono Setyono Setyono, Setyono Sirait, Manuel Leonard Sutomo, Valantino A Syella Sumampouw Ulfah Sulistyowati Unggul Sentanu Noercahyo Utami Dyah Syafitri Utami Syafitri Valantino A Sutomo Winda Nurpadilah Windi D.Y Putri Yenni Angraini Zulkarnain, Rizky