Articles

MANAJEMEN PRODUKSI PENGOLAHAN IKAN BANDENG DI KABUPATEN PATI UNTUK PENGEMBANGAN PRODUK EKSPOR -, Sugito; Prahutama, Alan; Hoyyi, Abdul
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: PROSIDING IMPLEMENTASI PENELITIAN PADA PENGABDIAN MENUJU MASYARAKAT MANDIRI BERKEMAJUAN
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Central Java as one of the regions in Indonesia which has various food preparations. One typical souvenirs Semarang, which is the capital of Central Java province is milkfish presto, milkfish brains, chips and shredded milkfish milkfish. Aquaculture fish of the largest in Central Java is located in Pati regency. One of the famous places that serve as souvenirs of milkfish is Juwana area, Pati. Many SMEs (Small and Medium Enterprises) in Pati engaged in the processing of aquaculture fish, one of which is milkfish presto. In this paper, the researchers took two of SMEs as a form of field studies engaged in the processing of fish. SMEs are SMEs milkfish Presto twin source of fortune and SMEs banding without thorns excellent. Both of us empower SMEs for the development of export products. In the first year field study outcome shows that the manufacture of standard operating procedures (SOP) and product diversification is the first step the product criteria ekspor. Also marketing techniques is an important factor in the expansion of the market.Keywords: Processed milkfish; Diversification of products; marketing Management; SOP; SME in Pati.
PERBANDINGAN ANALISIS KLASIFIKASI MENGGUNAKAN METODE K-NEAREST NEIGHBOR (K-NN) DAN MULTIVARIATE ADAPTIVE REGRESSION SPLINE (MARS) PADA DATA AKREDITASI SEKOLAH DASAR NEGERI DI KOTA SEMARANG Merluarini, Bisri; Safitri, Diah; Hoyyi, Abdul
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Departemen Statistika FSM Undip

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Classification methods have been developed and two of the existing are K-Nearest Neighbor (K-NN) and Multivariate Adaptive Regression Spline (MARS). The purpose of this research is comparing the classification of public elementary school accreditation in Semarang city with K-NN and MARS methods. This research using accreditation data with the result of eight accreditation components in public elementary school that has A accreditation (group 1) and B accreditation (group 2) in Semarang city. To evaluate the classification method used test statistic  Press?s Q, APER, specificity, and sensitivity. The best classification results of the K-NN method is when using K=5 because it produces the smallest error rate and obtained information that the correct classification data are 159 and the misclassification data are 9. The best classification result of the MARS method is when using combination BF=32, MI=2, MO=1 because it produces the smallest Generalized Cross Validation (GCV) and obtained information that the correct classification data are 164 and the misclassification data are 4. Based on analyze result, Press?s Q showed that both methods are good as classification or statistically significant to classify the public elementary school in Semarang city based of the accreditation. APER, specificity, and sensitivity showed that classify of public elementary school accreditation in Semarang city using MARS method is better than K-NN method.
OPTIMALISASI PORTOFOLIO SAHAM MENGGUNAKAN METODE MEAN ABSOLUTE DEVIATION DAN SINGLE INDEX MODEL PADA SAHAM INDEKS LQ-45 Wulandari, Diah; Ispriyanti, Dwi; Hoyyi, Abdul
Jurnal Gaussian Vol 7, No 2 (2018): Jurnal Gaussian
Publisher : Departemen Statistika FSM Undip

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Abstract

Stock investment is the planting of money in a securities that indicates the ownership of a company in order to provide benefits in the future. In obtaining optimal results from stock investments, investors are expected to create a series of portfolios. The portfolio will help investors in allocating some funds in different types of investments in order to achieve optimal profitability. For selection of optimal stocks representing LQ-45 Index, used 2 methods of Mean Absolute Deviation (MAD) method and Single Index Model (SIM) method. In MAD method, 5 best stocks are BBCA with weight 23%, INDF 8%, KLBF 23%, TLKM 23%, and UNVR 23%. While the SIM method of candidate portfolio obtained is AKRA with weight 15,459%, BBCA 48,193%, BBNI 5,028%,KLBF 0,258% and TLKM 31,062%. Portfolio performance meter is used by sharpe ratio. The value of sharpe ratio is 0,36754 for optimal portfolio using MAD method and 0,40782 for optimal portfolio using SIM method, this means that optimal portfolio using SIM method has better performance than MAD. Keywords: Investment, Portfolio, Index LQ-45, Mean Absolute Deviation, Single Index Model, Sharpe Ratio
ANALISIS KESEHATAN BANK MENGGUNAKAN LOCAL MEAN K-NEAREST NEIGHBOR DAN MULTI LOCAL MEANS K-HARMONIC NEAREST NEIGHBOR Assegaf, Alwi; Mukid, Moch. Abdul; Hoyyi, Abdul
Jurnal Gaussian Vol 8, No 3 (2019): Jurnal Gaussian
Publisher : Departemen Statistika FSM Undip

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The classification method continues to develop in order to get more accurate classification results than before. The purpose of the research is comparing the two k-Nearest Neighbor (KNN) methods that have been developed, namely the Local Mean k-Nearest Neighbor (LMKNN) and Multi Local Means k-Harmonic Nearest Neighbor (MLM-KHNN) by taking a case study of listed bank financial statements and financial statements complete recorded at Bank Indonesia in 2017. LMKNN is a method that aims to improve classification performance and reduce the influence of outliers, and MLM-KHNN is a method that aims to reduce sensitivity to a single value. This study uses seven indicators to measure the soundness of a bank, including the Capital Adequacy Ratio, Non Performing Loans, Loan to Deposit Ratio, Return on Assets, Return on Equity, Net Interest Margin, and Operating Expenses on Operational Income with a classification of bank health status is very good (class 1), good (class 2), quite good (class 3) and poor (class 4). The measure of the accuracy of the classification results used is the Apparent Error Rate (APER). The best classification results of the LMKNN method are in the proportion of 80% training data and 20% test data with k=7 which produces the smallest APER 0,0556 and an accuracy of 94,44%, while the best classification results of the MLM-KHNN method are in the proportion of 80% training data and 20% test data with k=3 which produces the smallest APER 0,1667 and an accuracy of 83,33%. Based on APER calculation shows that the LMKNN method is better than MLM-KHNN in classifying the health status of banks in Indonesia.Keywords: Classification, Local Mean k-Nearest Neighbor (LMKNN), Multi Local Means k-Harmonic Nearest Neighbor (MLM-KHNN), Measure of accuracy of classification
PENGUKURAN RISIKO KREDIT HARGA OBLIGASI DENGAN PENDEKATAN MODEL STRUKTURAL KMV MERTON Asdriargo, Anang; Maruddani, Di Asih I; Hoyyi, Abdul
Jurnal Gaussian Vol 1, No 1 (2012): Jurnal Gaussian
Publisher : Departemen Statistika FSM Undip

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Obligasi merupakan salah satu instrumen keuangan yang merupakan suatu pernyataan utang dari penerbit obligasi kepada pemegang obligasi beserta janji untuk membayar kembali pokok utang beserta bunganya pada saat jatuh tempo. Pada saat melakukan investasi obligasi, selain mendapatkan keuntungan juga memberikan potensi risiko investasi. Salah satu risiko yang dapat terjadi adalah risiko kredit. Risiko kredit adalah potensi risiko yang akan timbul bagi investor apabila penerbit obligasi tidak bisa melakukan kewajiban atas pembayaran bunga atau kewajiban pokok pada saat jatuh tempo. Untuk memodelkan risiko kredit salah satu pendekatan utamanya adalah Model Struktural. Model struktural mengasumsikan kebangkrutan perusahaan terjadi ketika nilai aset perusahaan berada di bawah nilai obligasi perusahaan. Model Merton dimodifikasi dan dikembangkan oleh KMV (sebuah perusahaan konsultan keuangan di Amerika Serikat) yang dikenal dengan KMV Model. Studi empiris dilakukan pada data aset PT Bank Daerah Khusus Ibukota Tbk dan PT Bank Lampung Tbk. Berdasarkan output pemrograman R, untuk PT Bank Daerah khusus Ibukota Tbk  diperoleh nilai probabilitas kegagalan sebesar 9,412932E-24% dan nilai Distance to Default adalah 10,4262. Sedangkan untuk PT Bank Lampung Tbk diperoleh nilai probabilitas kegagalan sebesar 3.801958E-07% dan nilai Distance to Default adalah 5.777011
PENINGKATAN PRODUKTIVITAS BENANG POLYESTER COTTON 45 MELALUI ANALISIS TOTAL QUALITY CONTROL (STUDI KASUS DI PT PANCA BINTANG TUNGGAL SEJAHTERA) Alrizqi, Afifah; Wilandari, Yuciana; Hoyyi, Abdul
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Departemen Statistika FSM Undip

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PT Panca Bintang Tunggal Sejahtera is a company which operate in textill and garment. The main product is polyester cotton 45 yarn. In the production activity, still failed product. To determine what factors caused the failure of polyester cotton 45 yarn, used the analysis of Total Quality Control to control devices such as check sheet, stratification, bar chart, control chart, cause and effect diagrams, Pareto charts, and scatter plot. From the results of the check sheet, stratification and histogram obtained the highest type of failure is uneven sliver, which is as much as 1871 kg for a month. From the individual unit control chart, indicated that the activities of the production process there are deviations which are beyond the limits of product controllers that need improvement. A cause and effect diagram result show that the biggest factor causing the failure of the product due to labor factor due to lack of training and supervision. Therefore, the company can make improvements with priority on the labor factor.
ANALISIS TEKNIKAL SAHAM DENGAN INDIKATOR GABUNGAN WEIGHTED MOVING AVERAGE DAN STOCHASTIC OSCILLATOR Saputra, Yustian Dwi; Maruddani, Di Asih I; hoyyi, Abdul
Jurnal Gaussian Vol 8, No 1 (2019): Jurnal Gaussian
Publisher : Departemen Statistika FSM Undip

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The Stochastic Oscillator which is one of the leading indicators has the disadvantage of opening the gap for false signals. To minimize false signals, the smoothing process is carried out using the Moving Average. Stochastic Oscillator is usually combined with SMA (Simple Moving Average). But SMA has the disadvantage of giving the same weight to all data, even though in reality the data that best reflects the next value is the last data. This makes the basis of weighting the WMA (Weighted Moving Average) method.This study aims to test the combination of Stochastic Oscillator with SMA and WMA and use the best combination to predict the trends that will occur and trading decisions taken from the results of these predictions. The research samples were ANTM, BBRI, and GIAA stocks from November 9 2015 to November 9, 2018.The results show a combination of Stochastic Oscillator and WMA is a better combination of predictions than Stochastic Oscillator and SMA because it has a smaller MSE value. Based on the comparison of signal accuracy based on Overbought and Oversold, the best period of combination of Stochastic Oscillator and WMA is period 25. From the predicted trend that will occur with a combination of Stochastic Oscillator and WMA period 25 a decision is made to buy shares for ANTM shares, sell shares for BBRI shares, and waiting for a buy signal for GIAA shares.Keywords: Stochastic Oscillator, SMA, WMA, Predictions, Trends
ANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN DAN KEPUASAN KONSUMEN PADA LAYANAN INTERNET SPEEDY DI KOTA SEMARANG MENGGUNAKAN PARTIAL LEAST SQUARE (PLS) Devi, Bella Cynthia; Hoyyi, Abdul; Mukid, Moch. Abdul
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Departemen Statistika FSM Undip

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Persepsi konsumen terhadap tuntutan kebutuhan layanan internet Speedysangat beragam. Terdapat beberapa faktor yang dipertimbangkan konsumen sebelum menggunakan layanan akses internet, faktor tersebut diantaranya harga, merek dan kualitas. Di lain pihak, konsumen akan merasa puas jikalayanan internet Speedy melebihi harapan konsumen. Faktor-faktor yang mempengaruhi keputusan pembelian dan kepuasan layanan internet Speedy diungkapkan secara komprehensif dengan persamaan struktural berbasis komponen, Partial Least Square (PLS). PLS mengestimasi model hubungan antar variabel laten dan antar variabel laten dengan indikatornya. Dari hasil analisis diperoleh kesimpulan bahwa keputusan pembelian layanan internet Speedy dipengaruhi oleh harga, merek dan kualitas, sedangkan kepuasan konsumen dipengaruhi oleh keputusan pembelian dan kualitas.  Kata kunci : Partial Least Square, Speedy, keputusan pembelian, kepuasanANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN DAN KEPUASAN KONSUMEN PADA LAYANAN INTERNET SPEEDY DI KOTA SEMARANGMENGGUNAKAN PARTIAL LEAST SQUARE (PLS)
PERAMALAN LAJU INFLASI, SUKU BUNGA INDONESIA DAN INDEKS HARGA SAHAM GABUNGAN MENGGUNAKAN METODE VECTOR AUTOREGRESSIVE (VAR) Hardani, Priska Rialita; Hoyyi, Abdul; Sudarno, Sudarno
Jurnal Gaussian Vol 6, No 1 (2017): Jurnal Gaussian
Publisher : Departemen Statistika FSM Undip

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Inflation, Bi Rate (SBI) and the composite stock price index (IHSG) is an economic instrument and often seen as divorce progression of the economic progress of a country. Inflation, Bi Rate and IHSG is a multivariate time series that show activity for a certain period. One method to analyze multivariate time series is Vector Autoregressive (VAR). VAR method is a simultaneous equation model has several endogeneous variables. This research uses secondary data of inflation, SBI and IHSG on period January to June 2016. The VAR model acquired is a model VAR(4), with parameters estimated using the Ordinary Least Square (OLS). The selection model VAR(4) is based on the smallest value of AIC 4,255482 with value of MAPE is 47,11%. Keywords:  Inflation, SBI, IHSG, Time Series Multivariate, Forecasting, Vector Autoregressive (VAR).
PENENTUAN BOBOT PORTOFOLIO OPTIMAL DENGAN METODE RESAMPLED EFFICIENT FRONTIER UNTUK PERHITUNGAN VALUE AT RISK PADA DATA BERDISTRIBUSI NORMAL Pratiwi, Esti; Hoyyi, Abdul; Sugito, Sugito
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Departemen Statistika FSM Undip

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The investors have a goal of getting return when they invest their wealth, but on the other hand they should bear the risk that might arise from their investment. There are three categories of investors based on their preferences toward risk that is risk averter, moderate risk and risk taker. To establish a portfolio that is able to incorporate investor preferences is used Resampled Efficient Frontier Method. Resampled Efficient Frontier Method is a development of the Mean Variance Efficient Portfolios Method, which used Monte Carlo simulation to obtain more estimated of parameter inputs. Based on the efficient portfolios of Resampled Efficient Frontier along the efficient frontier with 51 efficient points, taken optimal portfolio for each investor type. Optimal portfolio for risk averter, moderate risk and risk taker respectively is an efficient portfolio on the first point, 26th point, and 51st point. To describe the loss of the optimal portfolio is used Value at Risk. VaR is calculated based on monthly return from BBCA, LPKR, PGAS and SMGR during January 2008 until December 2013. Estimated VaR on 95% confidence level during 20 days holding period and the amount of investment allocation Rp 100,000,000.00 from the optimal portfolio for risk averter, moderate risk and risk taker respectively is Rp 50,706,000.00, Rp 54,618,000.00 and Rp 64,522,000.00
Co-Authors Afifah Alrizqi Afifi, Irfan Agus Rusgiyono Agus Somantri Ahmat Dhani Riau Bahtiyar Alan Prahutama Allima Stefiana Insani Amalia Diwati Amelia Crystine Anang Asdriargo Andriyani, Mega Fitria Andriyani, Mega Fitria Anggit Ratnakusuma, Anggit Anggita, Esta Dewi Anik Nurul Aini, Anik Nurul Annisa Intan Mayasari Annisa Rahmawati Ari Fakhrus Sanny, Ari Fakhrus Arlita, Erna Musri Arlita, Erna Musri Assegaf, Alwi Aulia, Nadya Kiki Avia Enggar Tyasti, Avia Enggar Bella Cynthia Devi, Bella Cynthia Bisri Merluarini Bitoria Rosa Niashinta, Bitoria Rosa Budi Warsito Candra Silvia, Candra Chyntia Arum Widyastusti, Chyntia Arum Cindy Wahyu Elvitra Darwanto Darwanto Deby Fakhriyana, Deby Dede Zumrohtuliyosi Deden Aditya Nanda, Deden Aditya Deria, Aulia Desy Dermawanti Dermawanti, Dermawanti Desriwendi Desriwendi Dewi Erliana Dewi Setya Kusumawardani Di Asih I Maruddani Diah Safitri Diah Wulandari Dwi Ispriyanti DWI RAHMAWATI Endah Cahyaningrum, Endah Esti Pratiwi Faiqotul Himmah Fatimah, Khusnul Umi Fiki Farkhati Fitra Ramdhani, Fitra Hasbi Yasin Herwindhito Dwi Putranto Ikha Rizky Ramadani Indri Puspitasari, Indri Islami, Firda Dinny Isowedha Widya Dewi Issabella Marsasella Christy, Issabella Marsasella Juli Sekar Sari, Juli Sekar Kartikaningtiyas Hanunggraheni Saputri, Kartikaningtiyas Hanunggraheni Khotimatus Sholihah, Khotimatus Kiki Febri Azriati Koko Arie Bowo Kresnawati, Gayuh Kumo Ratih Maidiah Dwi Naruri Saida, Maidiah Dwi Naruri Malik Hakam Moch. Abdul Hoyyi Moch. Abdul Mukid Mubyarjati, Dhea Kurnia MUHAMMAD HARIS Mustafid Mustafid Mutiara Ardin Rifkiani, Mutiara Ardin Nandang Fahmi Jalaludin Malik Novika Pratnyaningrum Nurissalma Alivia Putri Nurul Fauziah Priska Rialita Hardani, Priska Rialita Purina Pakurnia Artiguna Rinjani, Silvia Nur Rita Rachmawati, Rita Rita Rahmawati Rizky Oky Ari Satrio Rukun Santoso Saputra, Yustian Dwi Saputri, Ani Funtika Saraswati, Mei Sita Sembiring, Emyria Natalia br Setyowati, Henny Shaumal Luqman, Shaumal Siburian, Jeffri Nelwin J. O. Siti Nurlatifah, Siti Sudarno Sudarno Sugito - Sugito Sugito Suparti Suparti Tarno Tarno Tatik Widiharih Titis Nur Utami, Titis Nur Triastuti Wuryandari Ulfah Sulistyowati Widodo, Dea Manuella Widyantomo, Rizki Pradipto Yosi Dhyas Monica Yuciana Wilandari Yudia Yustine Yunisa Ratna Resti, Yunisa Ratna Zahlevi, Alifah