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-, Noeryanti
Institut Sains & Teknologi AKPRIND Yogyakarta
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PENGARUH HASIL-HASL UJIAN DI SEKOLAH TERHADAP HASIL UJIAN NASIONAL DI SMU NEGERI 1 LIMBOTO KABUPATEN GORONTALO -, Noeryanti
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 2 No 1 Agustus 2009
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (395.774 KB) | DOI: 10.34151/technoscientia.v2i1.415

Abstract

The aim of the research is to know whether the result of school examination in-fluences the result of national examination significantly. Observation data was taken from the third year science students of SMUN1 Limboto Gorontalo Regency Gorontalo Pro-vince. The best method to get regression model with unbias estimator is used the least square was done by using classical assumption examination, those are normal, multi-colinier an correlation ones. The result showed that national examination data, mean of Raport, Tryout, School examination marks and Practice examination, fulfill this assum-ption. Base on analysis data, it that in partially, UAN grades are influenced by: Raport grades with MSE=0,004 and R2=45.9%, Tryout grade with MSE= 0.09931 and R2= 59.3%, School grade with MSE=0.235691 and R2=5.8% and Practical grade with MSE=0.09931 dan R2 = 59.3%. Simultantly, UAN grades are influence by: Raport grade= –0.384, Tryout grade=0.848, School grades = –0.303 and Practical grade=0.082. Based on beta coefficient, it can be concluded that mean variable of tryout mark has the most dominant influences to national examination mark. The surtable mathematics model can be stated as Ŷ=4,985+ 0,182(x1)+0,370(x2)–0,261(x3)–0,280(x4)+0,376(lag_Y).
PETA KENDALI-P UNTUK CACAT PRODUKSI KAIN DI PT RANJANG GAJAH TEKSTIL MENGGUNAKAN PENDEKATAN CONTROL CHARTS -, Noeryanti
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 3 No 1 Agustus 2010
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (166.891 KB) | DOI: 10.34151/technoscientia.v3i1.437

Abstract

The aim of this study was to know the a mount of production prosess ability at PT Ranjang Gajah Tekstil, by data of defect production. The observation based on secondary data, whereas the analysis approach used was p-control graphic with control chart.By using p-control graphic, it seemed that there was observation out of control caused by uncontrol production. Through some improvements, the result which was abtained showed that production process ability caused by lusi movement decreasing 0,163%, pakan movement decreasing 0,259%, ngapuk decreasing 0,054% , and sobek decreasing 0,041%.It was found that the special cause of defect data of lusi movement were, one the 21st observation cause of rusty sisir the 33rd, 34th adn 37th ones cause of broken fork gird. For pakan movement defects found that on the 1st, 2nd, 3rd, 16th, 17th, and 52nd ones caused by loose shuttle, on the 4th and 5th ones cause of less good shuttle replacement, and on the 6th one cause of sisir kecak. Therefore the result of this study used by the company in order to do improvements and be able to observe process ability continually in order to be stable.
PEMODELAN INDEKS HARGA SAHAM GABUNGAN DAN VOLUME PERDAGANGAN DI BURSA EFEK JAKARTA MENGGUNAKAN ANALISIS RUNTUN WAKTU -, Noeryanti
JURNAL TEKNOLOGI TECHNOSCIENTIA Academia Ista Vol 11 Edisi Khusus Oktober 2006
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.228 KB)

Abstract

In order to give more complete information about stock exchange development to public, "Bursa Efek Jakarta" (BEJ) has spread out stockt value movement data through press and elec-tronic. From fifteen index data component available, the important indi-cator in stock value exchange is Daily Stock Value Index (IHSG) and Trade Volume. Base on data taken by researcher through website of Jakarta Stock Exchange (JSX) on data menu trade at http://www.jsx.co.id, it was obtained data exchange pattern of IHSG and Trade Volume for 358 days and the researcher extrapolated the datum to the next time (predict the next 90 datum) The result of analysis by using software Minitab v13 showed that the mode of quadratic trend pattern is very suitable for both datum. Trend equation of IHSG data is: Yt = 1085,53-0,581334t+4,21E-03t2 and trade volume is: Yt =0,972451-1,50E-04t+3,93E-07t2. Forecasts value for next 90 datum is useful for business user in long term. The pattern of both datum is stationary in the first difference. So Box-Jenkins mode can be formed for IHSG data is ARIMA(1,0,0), with the first mode:Zt = 0,0838 Zt-1 + at; at~indN(0,0.9296); ARIMA(1,0,1) with the first mode: Zt = -0,10498-0,2482Zt-1+at-0,3399at-1; at~ind N(0,0.84843) and ARIMA(1,0,0) with the first mode: Zt = -0,4273Zt-1+at;at~ind N(0,0.6046). With the same way it is obtained Box-jenkins mode for Trade Volume data : ARIMA(1,0,0) with the first mode: Zt= -0,4051Zt-1+at; at~ind N(0,32.0315), ARIMA(0,0,1) with the first mode:Zt = -4,73+at+0,7342at-1; at~ind N(0,6.0753) dan ARIMA(1,0,1) with the first mode: Zt = 3,9811-0,1706Zt-1+at+0,8230at-1­; at~ind N(0,23.04)
MEMPREDIKSI POLA DATA INDEKS HARGA SAHAM GABUNGAN DAN VOLUME PERDAGANGAN HARIAN DI BURSA EFEK JAKARTA PERIODE JANUARI JUNI TAHUN 2006 -, Noeryanti
JURNAL TEKNOLOGI TECHNOSCIENTIA Academia Ista Vol 11 Edisi Khusus Oktober 2006
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (419.62 KB)

Abstract

The choice of prediction in time series sequence, which produced valid and acurate prediction value is the main problem in prediction method. The study of data used by researcher was taken form website of Jakarta Stock Exchange (JSX) on menu of trade data addressed at http://www.jsx.co.id. Significant indikator in Stock Exchange Movement were IHSG and Trade Volume. Index functioned as market trend indicator, so from the index number, we know trend of stock volume movement today and extrapolate in the future. The aions of this research were to predict data pattern of IHSG and trade volume by using smoothing model approach since the best estimstion choice just compared some values of MSE, MAD, MSD and value. The result of analys shows that smooth mode of linear trend is very suitable for both datum. They are for IHSG and for Trade Volume. And then Box-Jenkins mode can be formed for IHSG data is ARIMA(1,0,0) and ARIMA(1,0,1) where as for Trade Volume data is ARIMA(0,0,1), ARIMA(1,0,0) and ARIMA(1,0,1).
MEMPREDIKSI KEMISKINAN DI PROVINSI DAERAH ISTIMEWA YOGYAKARTA MENGGUNAKAN METODE ANALISIS RANTAI MARKOV Noeryanti, Noeryanti; Setyawan, Yudi; Hadinagara, Hadinagara
Jurnal Teknologi Vol 12 No 1 (2019): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Institut Sains & Teknologi AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3415/jurtek.v12i1.2160

Abstract

Kemiskinan di Indonesia masih terus menjadi masalah yang serius sepanjang tahun. Permasalahan utama dalam upaya pengentasan kemiskinan di Indonesia saat ini terkait dengan adanya fakta bahwa pertumbuhan ekonomi tidak tersebar secara merata di seluruh wilayah Indonesia. Dalam kurun waktu lima tahun terakhir, jumlah penduduk miskin di D.I. Yogyakata mengalami penurunan sebesar 72.48 ribu jiwa. Pada tahun 2014, jumlah penduduk miskin tercatat masih sebanyak 532.59 ribu jiwa. Namun pada tahun 2018 penduduk miskin berkurang menjadi 460.11 ribu jiwa. [sumber BPS DIY, 2018]. Penelitian ini bertujuan untuk memprediksi kemiskinan di Provinsi D.I. Yogyakarta menggunakan metode Analisis Rantai Markov. Hasil analisis rantai markov, prediksi jumlah penduduk miskin tahun 2019-2022 untuk Kabupaten Kulon Progo mengalami kenaikan rata-rata jumlah penduduk miskin sebesar 0.35%, Kabupaten Bantul mengalami kenaikan persentase kemiskinan rata-rata sebesar 0.04%, Kabupaten Gunung Kidul akan mengalami kenaikan persentase kemiskinan sebesar 0.11%, Kabupaten Sleman akan mengalami penurunan persentase kemiskinan sebesar 0.74%, dan untuk Kota Yogyakarta akan mengalami penurunan persentase kemiskinan sebesar 0.03%. Probabilitas steady state Kab. Kulon Progo sebesar 16.58%, Kabupaten Bantul sebesar 28.90%, Kab. Gunung Kidul sebesar 27.97%, Kab. Sleman sebesar 20.00%, dan Kota Yogyakarta sebesar 6.55%.
PENGARUH HASIL-HASL UJIAN DI SEKOLAH TERHADAP HASIL UJIAN NASIONAL DI SMU NEGERI 1 LIMBOTO KABUPATEN GORONTALO -, Noeryanti
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 2 No 1 Agustus 2009
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v2i1.415

Abstract

The aim of the research is to know whether the result of school examination in-fluences the result of national examination significantly. Observation data was taken from the third year science students of SMUN1 Limboto Gorontalo Regency Gorontalo Pro-vince. The best method to get regression model with unbias estimator is used the least square was done by using classical assumption examination, those are normal, multi-colinier an correlation ones. The result showed that national examination data, mean of Raport, Tryout, School examination marks and Practice examination, fulfill this assum-ption. Base on analysis data, it that in partially, UAN grades are influenced by: Raport grades with MSE=0,004 and R2=45.9%, Tryout grade with MSE= 0.09931 and R2= 59.3%, School grade with MSE=0.235691 and R2=5.8% and Practical grade with MSE=0.09931 dan R2 = 59.3%. Simultantly, UAN grades are influence by: Raport grade= –0.384, Tryout grade=0.848, School grades = –0.303 and Practical grade=0.082. Based on beta coefficient, it can be concluded that mean variable of tryout mark has the most dominant influences to national examination mark. The surtable mathematics model can be stated as Ŷ=4,985+ 0,182(x1)+0,370(x2)–0,261(x3)–0,280(x4)+0,376(lag_Y).
PETA KENDALI-P UNTUK CACAT PRODUKSI KAIN DI PT RANJANG GAJAH TEKSTIL MENGGUNAKAN PENDEKATAN CONTROL CHARTS -, Noeryanti
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 3 No 1 Agustus 2010
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v3i1.437

Abstract

The aim of this study was to know the a mount of production prosess ability at PT Ranjang Gajah Tekstil, by data of defect production. The observation based on secondary data, whereas the analysis approach used was p-control graphic with control chart.By using p-control graphic, it seemed that there was observation out of control caused by uncontrol production. Through some improvements, the result which was abtained showed that production process ability caused by lusi movement decreasing 0,163%, pakan movement decreasing 0,259%, ngapuk decreasing 0,054% , and sobek decreasing 0,041%.It was found that the special cause of defect data of lusi movement were, one the 21st observation cause of rusty sisir the 33rd, 34th adn 37th ones cause of broken fork gird. For pakan movement defects found that on the 1st, 2nd, 3rd, 16th, 17th, and 52nd ones caused by loose shuttle, on the 4th and 5th ones cause of less good shuttle replacement, and on the 6th one cause of sisir kecak. Therefore the result of this study used by the company in order to do improvements and be able to observe process ability continually in order to be stable.
PEMODELAN INDEKS HARGA SAHAM GABUNGAN DAN VOLUME PERDAGANGAN DI BURSA EFEK JAKARTA MENGGUNAKAN ANALISIS RUNTUN WAKTU -, Noeryanti
JURNAL TEKNOLOGI TECHNOSCIENTIA Academia Ista Vol 11 Edisi Khusus Oktober 2006
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

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

Abstract

In order to give more complete information about stock exchange development to public, "Bursa Efek Jakarta" (BEJ) has spread out stockt value movement data through press and elec-tronic. From fifteen index data component available, the important indi-cator in stock value exchange is Daily Stock Value Index (IHSG) and Trade Volume. Base on data taken by researcher through website of Jakarta Stock Exchange (JSX) on data menu trade at http://www.jsx.co.id, it was obtained data exchange pattern of IHSG and Trade Volume for 358 days and the researcher extrapolated the datum to the next time (predict the next 90 datum) The result of analysis by using software Minitab v13 showed that the mode of quadratic trend pattern is very suitable for both datum. Trend equation of IHSG data is: Yt = 1085,53-0,581334t+4,21E-03t2 and trade volume is: Yt =0,972451-1,50E-04t+3,93E-07t2. Forecasts value for next 90 datum is useful for business user in long term. The pattern of both datum is stationary in the first difference. So Box-Jenkins mode can be formed for IHSG data is ARIMA(1,0,0), with the first mode:Zt = 0,0838 Zt-1 + at; at~indN(0,0.9296); ARIMA(1,0,1) with the first mode: Zt = -0,10498-0,2482Zt-1+at-0,3399at-1; at~ind N(0,0.84843) and ARIMA(1,0,0) with the first mode: Zt = -0,4273Zt-1+at;at~ind N(0,0.6046). With the same way it is obtained Box-jenkins mode for Trade Volume data : ARIMA(1,0,0) with the first mode: Zt= -0,4051Zt-1+at; at~ind N(0,32.0315), ARIMA(0,0,1) with the first mode:Zt = -4,73+at+0,7342at-1; at~ind N(0,6.0753) dan ARIMA(1,0,1) with the first mode: Zt = 3,9811-0,1706Zt-1+at+0,8230at-1­; at~ind N(0,23.04)
MEMPREDIKSI POLA DATA INDEKS HARGA SAHAM GABUNGAN DAN VOLUME PERDAGANGAN HARIAN DI BURSA EFEK JAKARTA PERIODE JANUARI JUNI TAHUN 2006 -, Noeryanti
JURNAL TEKNOLOGI TECHNOSCIENTIA Academia Ista Vol 11 Edisi Khusus Oktober 2006
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

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

Abstract

The choice of prediction in time series sequence, which produced valid and acurate prediction value is the main problem in prediction method. The study of data used by researcher was taken form website of Jakarta Stock Exchange (JSX) on menu of trade data addressed at http://www.jsx.co.id. Significant indikator in Stock Exchange Movement were IHSG and Trade Volume. Index functioned as market trend indicator, so from the index number, we know trend of stock volume movement today and extrapolate in the future. The aions of this research were to predict data pattern of IHSG and trade volume by using smoothing model approach since the best estimstion choice just compared some values of MSE, MAD, MSD and value. The result of analys shows that smooth mode of linear trend is very suitable for both datum. They are for IHSG and for Trade Volume. And then Box-Jenkins mode can be formed for IHSG data is ARIMA(1,0,0) and ARIMA(1,0,1) where as for Trade Volume data is ARIMA(0,0,1), ARIMA(1,0,0) and ARIMA(1,0,1).
PENDAMPINGAN MULTIDIMENSIONAL SCALING (MDS) UNTUK RISET PASAR DI CV AMIGO MANGESTI UTOMO Noviana Pratiwi; Noeryanti
DHARMA BAKTI Dharma Bakti-Vol 3 No 2-Oktober 2020
Publisher : LPPM IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/dharma.v3i2.3473

Abstract

Multidimensional scaling (MDS) is often associated with market research. MDS in marketresearch is used to determine the position of a store against its competitors with certaincriteria. This MDS can be used to evaluate how store services are, what consumers likeand dislike and how the store compares to its competitors. CV Amigo Mangesti Utomo isone of the retail companies in the fashion sector that continues to evaluate to improve thequality of service to its customers. For this reason, assistance is provided to conductmarket research at the Amigo group. By conducting market research assistance with MDS,the Amigo Group can find out how it stands against its competitors, know the advantagesand disadvantages of the store against its competitors and each store can make futureplans to improve services to consumers so that consumers continue to grow. Aftermentoring, each store manager knows the strengths and weaknesses of his shop amongcompetitors and understands the importance of market research, so that in the future theywill conduct market research on their customers.
Co-Authors Hadinagara, Hadinagara Noviana Pratiwi Noviana Pratiwi, Noviana Setyawan, Yudi