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ANALISIS KOMPONEN UTAMA UNTUK MENENTUKAN VARIABEL YANG BERPENGARUH TERHADAP CITRA PROGRAM STUDI ARSITEKTUR UNIVERSITAS SURAKARTA Karomah, Binti
Jurnal Silogisme : Kajian Ilmu Matematika dan Pembelajarannya Vol 7, No 2 (2022): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/silogisme.v7i2.6112

Abstract

Main component analysis can be used to facilitate agencies in making decisions in improving the services to be provided because with the main component analysis it can focus on only a few main components of the many variables that affect the level of public image. The research approach used is a quantitative approach with a descriptive method. This research was conducted at the Architecture Study Program at the University of Surakarta (UNSA), with primary data as a source of data which was conducted by distributing questionnaires to applicants in the Architecture Studies program at the University of Surakarta which contained 6 questions representing 6 specific variables. The data obtained from this study were analyzed using the principal component analysis method. With the principal component analysis method, two main components are formed, namely the first main component, the variable coefficient of X1 (relatively cheap tuition fees), X2 (There are afternoon classes or employee classes), X3 (Lecturers who are competent in their fields), X4 (Accreditation). ) respectively are 0.499, 0.456, 0.360 and 0.473 with variable scores/values X1, X2, X3, X4 are 0.702, 0.641, 0.506 and 0.665. These four variables are included in the internal components that form the image of the Surakarta University Architecture Study Program. The second main component, the coefficients of the variables X5 (complete supporting facilities) and X6 (strategic campus location) are -0.489 and 0.659 respectively and scores are -0.571 and 0.768, these two variables are included in the external components of the program image. Surakarta University Architecture Studies. The total diversity of image-forming of the Surakarta University Architecture Study Program on the internal component is 32.98% and the external component is 22.62%, so it is known that the internal component is the most dominant component and has more influence on the image-forming of the Surakarta University Architecture Study Program than the external component 
Edupark Dairy Cows di Boyolali dengan Pendekatan Arsitektur Berkelanjutan Sulistianto, Wawan; Irnawan, Dody; Karomah, Binti
Jurnal Arsitektur GRID Vol 6, No 1 (2024): Juni
Publisher : Jurnal Arsitektur GRID

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52429/grid.v6i1.1364

Abstract

Boyolali merupakan salah satu daerah di Provinsi Jawa Tengah yang dikenal sebagai kota susu karena memiliki potensi wisata dan penghasil susu sapi perah yang produktif. Sebagian besar wilayah Boyolali adalah dataran tinggi dengan udara yang sejuk sehingga sangat cocok sekali dijadikan sebagai tempat untuk berternak sapi perah. Potensi penghasil susu sapi perah ada 8 Kecamatan yaitu Kecamatan Ampel, Boyolali, Cepogo, Mojosongo, Musuk, Selo, Simo dan Teras. Salah satu daerah yang menghasilkan susu sapi segar di Kabupaten Boyolali adalah Kcamatan Cepogo yang sebagian besar penduduk daerahnya adalah bermata pencaharian sebagai petani dan peternak sapi. Dari data KUD kecamatan Cepogo pada tahun 2020 penjualan susu sapi tanpa diolah adalah 3.874.864 liter. Dengan kondisi seperti itu Pemerintah Kabupaten Boyolali akan melakukan pembangunan wisata edukasi susu perah yang dapat digunakan untuk semua kalangan, terutama pada kalangan anak-anak untuk bisa berekreasi dan belajar tentang peternakan sapi sampai bisa di konsumsi. Dengan desain yang mengurangi dampak-dampak lingkungan yang ditimbulkan oleh limbah industri maka dibutuhkan sebuah desain yang berkelanjutan dan tidak merusak ekosistem yang ada, yaitu dengan menerapkan pendekatan arsitektur berkelanjutan dalam perancangannya.
REDESAIN TERMINAL BUS TYPE B PALUR KARANGANYAR DENGAN PENDEKATAN ARSITEKTUR HIJAU Lukmanto, Denki; Kesumasari, Diana; Karomah, Binti
Jurnal Arsitektur GRID Vol 6, No 2 (2024): Desember
Publisher : Jurnal Arsitektur GRID

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52429/grid.v6i2.1437

Abstract

OPTIMALISASI KOMUNIKASI ORGANISASI LINMAS DALAM PELAYANAN PUBLIK PADA KELURAHAN GANDEKAN SURAKARTA Dani, Jeratallah Aram; Nurhidayat, Achmad; Noviyanto, Hendri; Karomah, Binti; Mukti, Bayu
Abdi Masya Vol 6 No 1
Publisher : Pusat Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52561/abdimasya.v6i1.469

Abstract

Pengabdian kepada masyarakat ini dilaksanakan atas dasar kebutuhan Penyelenggara Perlindungan Masyarakat (LINMAS) pada Kelurahan Gandekan, Surakarta, tentang peningkatan Teknik berkomunikasi kepada Masyarakat sekitar dalam melakukan pelayanan publik, dengan mengimplementasikan Literasi, Komunikasi, serta Public Speaking sebagai materi yang hadirkan guna menggali kebutuhan pemecahan permasalahan yang biasa dihadapi tenaga LINMAS, antara lain seperti Permasalahan Sampah, Pengaduan Masyarakat dengan masalah sosial, dan sebagainya. Hal ini dilakukan dengan tujuan mengoptimalisasi pelayanan yang sudah diamanahkan sehingga lebih aktif, produktif, dan maksimal. Pengabdian dilakukan dengan metode deskriptif kualitatif, dengan komunikasi kelompok (Workshop) selama lebih dari 240 menit berlangsung. Hasil dari Pengabdian Kepada Masyarakat dengan metode Workshop menghadirkan kebutuhan dari segi pengembangan komunikasi dan aplikasi yang dijadikan wadah pelaporan dan informasi pada kehidupan sosial di lingkungan Kelurahan Gandekan.
Penerapan Metode Newton Raphson Untuk Pendugaan Parameter Regresi Non Linear Cobb-Douglas Karomah, Binti
JURNAL JENDELA MATEMATIKA Vol. 2 No. 02 (2024): Jurnal Jendela Matematika: Edisi Juli 2024
Publisher : CV. Jendela Edukasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57008/jjm.v2i02.916

Abstract

Inference in Cobb-Douglas model problems is a form of statistical inference that helps solve inference problems that involve a combination of several distributions. One form of distribution is a parametric distribution, and the other is a nonparametric distribution. To model the nonlinear Cobb-Douglas distribution and perform inference, such as determining test statistics, you can use maximum likelihood and then continue using the Newton rapshon method. Parameter estimates for the Cobb-Douglas nonlinear regression model were determined using the maximum likelihood method which was assumed to be normally distributed. then analyze the estimator first to obtain the Cobb-Douglas regression model estimator using the second order Taylor series approach to obtain the Newton Rapshon method. Based on the research results, it was found that the general form of parameter estimation for the Cobb-Douglas nonlinear regression model using the Newton-Raphson iterative method is:-So the parameter estimator is in scalar form.
ANALISIS KOMPONEN UTAMA UNTUK MENENTUKAN VARIABEL YANG BERPENGARUH TERHADAP CITRA PROGRAM STUDI ARSITEKTUR UNIVERSITAS SURAKARTA Karomah, Binti
Jurnal Silogisme : Kajian Ilmu Matematika dan Pembelajarannya Vol 7 No 2 (2022): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/silogisme.v7i2.6112

Abstract

Main component analysis can be used to facilitate agencies in making decisions in improving the services to be provided because with the main component analysis it can focus on only a few main components of the many variables that affect the level of public image. The research approach used is a quantitative approach with a descriptive method. This research was conducted at the Architecture Study Program at the University of Surakarta (UNSA), with primary data as a source of data which was conducted by distributing questionnaires to applicants in the Architecture Studies program at the University of Surakarta which contained 6 questions representing 6 specific variables. The data obtained from this study were analyzed using the principal component analysis method. With the principal component analysis method, two main components are formed, namely the first main component, the variable coefficient of X1 (relatively cheap tuition fees), X2 (There are afternoon classes or employee classes), X3 (Lecturers who are competent in their fields), X4 (Accreditation). ) respectively are 0.499, 0.456, 0.360 and 0.473 with variable scores/values X1, X2, X3, X4 are 0.702, 0.641, 0.506 and 0.665. These four variables are included in the internal components that form the image of the Surakarta University Architecture Study Program. The second main component, the coefficients of the variables X5 (complete supporting facilities) and X6 (strategic campus location) are -0.489 and 0.659 respectively and scores are -0.571 and 0.768, these two variables are included in the external components of the program image. Surakarta University Architecture Studies. The total diversity of image-forming of the Surakarta University Architecture Study Program on the internal component is 32.98% and the external component is 22.62%, so it is known that the internal component is the most dominant component and has more influence on the image-forming of the Surakarta University Architecture Study Program than the external componentÂ