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All Journal ACTA VETERINARIA INDONESIANA PROSIDING SEMINAR NASIONAL Jurnal Kesehatan Masyarakat Indonesia Cakrawala Pendidikan Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Media Statistika Gorga : Jurnal Seni Rupa Widyanuklida Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang BAHAS Abdimas Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan BIOEDUKASI Jukung (Jurnal Teknik Lingkungan) Meditory : The Journal of Medical Laboratory WAKTU: Jurnal Teknik UNIPA Seminar Nasional Lahan Suboptimal Academy of Education Journal Jurnal Teori dan Aplikasi Fisika Bina Gogik: Jurnal Ilmiah Pendidikan Guru Sekolah Dasar Jurnal Teras Fisika : Teori, Modeling, dan Aplikasi Fisika Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Pengabdian Masyarakat Indonesia (JPMI) INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Jurnal Riset Rumpun Seni, Desain dan Media (JURRSENDEM) Jurnal Natural JOURNAL OF WETLANDS ENVIRONMENTAL MANAGEMENT The International Journal of Tropical Veterinary and Biomedical Research Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Jurnal Abdimas Indonesia Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Jurnal Akademik Pengabdian Masyarakat Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan Jurnal Pendidikan Anak Jurnal Medika Veterinaria EKOBIS ABDIMAS : Jurnal Pengabdian Masyarakat Green Inflation: International Journal of Management And Strategic Business Leadership Misterius: Publikasi Ilmu Seni dan Desain Komunikasi Visual Realisasi: Ilmu Pendidikan, Seni Rupa dan Desain Imajinasi: Jurnal Ilmu Pengetahuan, Seni, dan Teknologi Jurnal Ilmiah Manajemen Dan Kewirausahaan

Sugito Sugito

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Author-ID : 463285

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KLASIFIKASI KEIKUTSERTAAN KELUARGA DALAM PROGRAM KELUARGA BERENCANA (KB) DI KOTA SEMARANG MENGGUNAKAN METODE MARS DAN FK-NNC Aryono Rahmad Hakim; Diah Safitri; Sugito Sugito
Jurnal Gaussian Vol 5, No 3 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Classification method is a statistical method for grouping or classifying data. A good classification method will produce a little bit of misclassification. Classification method has been greatly expanded and two of the existing classification methods are Multivariate Adaptive Regression Spline (MARS) and Fuzzy k-Nearest Neighbor in Every Class (FK-NNC). This study is aimed to compare a classification of Keluarga Berencana participation based on suspected factors that affect them between the methods of MARS and FK-NNC. This study uses secondary data which one is the participation of Keluarga Berencana in Semarang on 2014. Evaluation of errors use an Apparent Error Rate (APER). In the method MARS best classification results is obtained with the combination of BF = 24, MI = 3, MO = 0 for generating a smallest Generalized Cross Validation (GCV) value and the APER is obtained by 19%. While FK-NNC method is obtained the best classification results in k = 3 for generating the greatest accuracy of classification value and APER value is obtained by 22%. Based on APER (Apparent Error Rate) calculation, it shown that the classification of family participation in Keluarga Berencana (KB) programs in Semarang using MARS method is better than FK-NNC method.Keywords: Classification, MARS, FK-NNC, APER, Keluarga Berencana

ESTIMASI PARAMETER DISTRIBUSI WEIBULL DUA PARAMETER MENGGUNAKAN METODE BAYES Indria Tsani Hazhiah; Sugito Sugito; Rita Rahmawati
Jurnal Gaussian Vol 1, No 1 (2012): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Interval estimation of a parameter is one part of statistical inference. One of the methods that used is the Bayes method. A Bayesian method is combine prior distribution and distribution of samples, so that the posterior distribution can be obtained. Interval estimation using a method Bayes called credibel interval estimation. In this thesis, the distribution of the sample is used a two-parameter Weibull distribution scale-shape-version of survival distribution (reliability). Data that used are data that is not censored data type and data type II censored if prior distribution using non-informative which of the produce distribution the resulting posterior distribution is gamma distribution. Parameters of the sample distribution that to find out is a parameter that by the parameter c (shape parameter) known while the parameter b (scale parameter) had unknown.

PERAMALAN INDEKS HARGA KONSUMEN MENGGUNAKAN MODEL INTERVENSI FUNGSI STEP Dita Ruliana; Sugito Sugito; Dwi Ispriyanti
Jurnal Gaussian Vol 4, No 4 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Intervention model is a model for time series data in which practically there is an extreme fluctuation, whether it’s anupward or downward fluctuation. Consumer price index is one of economic data which plot has a fluctuation, the data that will being used for analyze is consumer price index of Indonesia in January 2009 until March 2015, on data detectable downward fluctuation significantly on January 2014 (T=61). Intervention in data was occurred in long time period (T=61 until T=75), so the model of intervention’s assumption is step function. Based on the result and analysis, the obtaining best model of intervention is ARIMA (2,1,3) with intervention order b=0 s=15 and r=0 which later on being used for predicting Indonesian consumer price index in six periods ahead. Keywords : consumer price index, stationery, ARIMA, step function intervention analysis, forecasting

KLASIFIKASI LAMA STUDI MAHASISWA FSM UNIVERSITAS DIPONEGORO MENGGUNAKAN REGRESI LOGISTIK BINER DAN SUPPORT VECTOR MACHINE (SVM) Sri Maya Sari Damanik; Dwi Ispriyanti; Sugito Sugito
Jurnal Gaussian Vol 4, No 1 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Wisuda adalah hasil akhir dari proses kegiatan belajar mengajar selama mengikuti perkuliahan di perguruan tinggi. Dalam mencapai gelar S1 membutuhkan waktu normal yaitu selama empat tahun, tetapi ada banyak mahasiswa yang menyelesaikan studinya melebihi batas normal (lebih dari empat tahun) dan ada juga yang kurang dari empat tahun. Lama studi mahasiswa dapat dipengaruhi oleh banyak faktor antara lain Indeks Prestasi Kelulusan (IPK), jenis kelamin, jurusan, lama studi yang ditempuh, beasiswa, part time, organisasi, dan jalur masuk universitas. Pada penelitian ini, akan dilakukan klasifikasi berdasarkan status lama studi mahasiswa lebih dari empat tahun dan kurang dari sama dengan empat tahun. Metode yang digunakan untuk klasifikasi lama studi mahasiswa dengan jenis data nominal adalah Metode Support Vector Machine (SVM) dan akan dibandingkan dengan metode Regresi Logistik Biner. Berdasarkan hasil penelitian dengan metode regresi logistik biner, menunjukkan variabel yang berpengaruh terhadap lama studi mahasiswa adalah Jurusan dan IPK dengan ketepatan klasifikasi 70%. Sedangkan ketepatan klasifikasi dengan menggunakan SVM ketepatan klasifikasi tertinggi dengan menggunakan kernel linear, Polynomial dan RBF mencapai 90%.Kata kunci : Lama studi, Regresi Logistik Biner, Support Vector Machine (SVM), Ketepatan Klasifikasi.

PENENTUAN MODEL SISTEM ANTREAN KENDARAAN DI GERBANG TOL BANYUMANIK SEMARANG Dedi Nugraha; Sugito Sugito; Dwi Ispriyanti
Jurnal Gaussian Vol 2, No 2 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The arrival rate of vehicles that have occured at the Banyumanik tollgate is randomly and fluctuatly. Those condition would make difficult for tollgate management to determine policies in operating the substation service. If the substation service operates slightly, can occur long queues, especially at certain time. In the meantime, if the substation service operates many service, service to be inefficient. Therefore, it is necessary to determine the queuing system model in accordance with the conditions and characteristics of the queue from service facilities at the Banyumanik tollgate appropriately. So it can be determined the efektif and efisien number of service substation. Based on the analysis of data obtained, a queue model system that occurred at the Banyumanik tollgate is . The efektif number of substations service for directions Ungaran-Semarang are two subtations service. While for direction Semarang-Ungaran, the efektif number of substation service is three.

PENERAPAN FORMULA BENEISH M-SCORE DAN ANALISIS DISKRIMINAN LINIER UNTUK KLASIFIKASI PERUSAHAAN MANIPULATOR DAN NON-MANIPULATOR (Studi Kasus Di Bursa Efek Indonesia Tahun 2013) Issabella Marsasella Christy; Sugito Sugito; Abdul Hoyyi
Jurnal Gaussian Vol 4, No 2 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Discriminant analysis is a statistical analysis method is used to classify an individual into a certain group which has determined based on the independent variables. In linear discriminant analysis, there are two assumptions to be fulfilled i.e. independent variables have to be multivariate normal distributed and variance covariance matrix of the observed two groups are the same. In this graduating paper is applied Beneish M-Score formula and linier discriminant analysis for classification of cases companies manipulators and non-manipulators are listed in Indonesia Stock Exchange in 2013. Linear discriminant function to continue Beneish M-Score formula to predict the classification, in order to obtain the percentage of fault classification, to determine the size of the performance of linear discriminant function. Percentage of classification error of 2,70 percent. Keywords: Beneish M-Score, Linear Discriminant Analysis

PERHITUNGAN VALUE AT RISK MENGGUNAKAN MODEL INTEGRATED GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (IGARCH) (Studi Kasus pada Return Kurs Rupiah terhadap Dollar Australia) Dian Febriana; Tarno Tarno; Sugito Sugito
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Foreign exchange trading can be an alternative investment due to the rapid movement of the exchange rate and its liquid characteristic. Measurement of risk is important because investment is related to substantial funds. One of the popular methods of risk measurement is Value at Risk (VaR) method. In financial time series, data usually have a variance that is not constant (heteroscedastisity). To overcome these problems, ARCH and GARCH models are used. One type of ARCH / GARCH namely Integrated Generalized Autoregressive Conditional Heteroscedasticity (IGARCH). The purpose of this study is modeling the IGARCH volatility and to calculate VaR based on the estimate volatility of the exchange rate return data rupiah against the Australian dollar. This study use daily selling rate data of the rupiah against the Australian dollar from 1 June 2012 until February 28, 2014. The best IGARCH model used for forecasting volatility of exchange rate return data Rupiah against the Australian dollar is the ARIMA model ([10], 0, [19]) IGARCH (1,1) because it has the smallest AIC value. The estimation volatility forecasting results obtained from the IGARCH (1,1) is used to calculate the value at risk on 5 periods ahead with one day holding period and a confidence level of 95%. Value at Risk to be around 0.95% to 1.07% with the highest VaR on 3rd March 2014 and the lowest VaR on 7th March 2014. Keywords : Exchange rate, Volatility, Integrated Generalized Autoregressive Conditional Heteroscedasticity (IGARCH), Value at Risk (VaR)

ANALISIS SISTEM ANTRIAN PELAYANAN NASABAH BANK X KANTOR WILAYAH SEMARANG Prizka Rismawati Arum; Sugito Sugito; Yuciana Wilandari
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Waiting is very boring for many people because it will only waste a lot of their time. This situation is common happen in a queue, for example customers who will conduct the transaction in the bank. Bank X Semarang Regional Office is the largest branch of Bank X is in Semarang is also not free from this problem. Therefore, the queuing model search is very important in order to improve the quality of service to customers / clients. Based on the analysis of data in the Customer Service and Teller obtained the appropriate queuing models which, for Customer Service and Public Teller queuing model is (M / M / 6): (GD / ∞ / ∞) queuing model for the Teller Express is (M / M / 2): (GD / ∞ / ∞) and for Special Teller model of the queue is (M / G / 1): (GD / ∞ / ∞). Based on the calculations and analyzes that have been done, it can be concluded that the customer service system to the Customer Service and teller at Bank X Semarang Regional Office has been good. Keywords: Queue, Queuing System Model, Bank, Customer Service, Teller.

PENENTUAN BOBOT PORTOFOLIO OPTIMAL DENGAN METODE RESAMPLED EFFICIENT FRONTIER UNTUK PERHITUNGAN VALUE AT RISK PADA DATA BERDISTRIBUSI NORMAL Esti Pratiwi; Abdul Hoyyi; Sugito Sugito
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

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

PENENTUAN MODEL ANTRIAN DAN PENGUKURAN KINERJA PELAYANAN PLASA TELKOM PAHLAWAN SEMARANG Ilham Indra Bakti Al-Irsyad; Sugito Sugito; Hasbi Yasin
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Plasa Telkom Pahlawan is a place of ministry-owned PT Telkom provided to serve customers of Telkom. To serve its customers, Plasa Telkom Pahlawan operates several kind of services, they are Customer Service, Cashier, Quick Service, Sales and in November 2014 operated new kind of service, it was Flexi Upgrade. As a provider of facility services, the problem of queues is a problem that is absolutely the case and must be considered. Queue situation occurs because the number of customers at a facility of service exceed the capacity available to perform such services. At Plasa Telkom Pahlawan queuing occurs in five different kinds of services. The best queueing models in Customer Service is (M/G/6):(GD:∞:∞) based on simulation level of aspiration, while the best model of Cashier and Quick Service are (M/M/2):(GD:∞:∞), for Sales is (M/M/1):(GD:∞:∞). Especially for Flexi Upgrade, the best model based on simulation level of aspiration is (G/G/6):(GD:∞:∞). From the analyzed model can be concluded that the queueing system available in Plasa Telkom Pahlawan Service is optimal.Keywords : Queuing system, Plasa Telkom Pahlawan, Customer Service, Cashier, Quick Service, Sales, Flexi Upgrade.

Co-Authors Abdul Hoyyi abdullah nur aziz Abdullah Nur Aziz Abellisa Abellisa Acnes Ratu Dea Adek Cerah Kurnia Azis Adin Ariyanti Dewi Agung - Kusasti Agus Rusgiyono Al Azhar Alan Prahutama Aminuddin Aminuddin Aminuyati Amiruddin Amiruddin Andi Novita Andry Dwira Utama Anggit Ratnakusuma Anggraini Susanti Kusumawardani Anjan Setyo Wahyudi Anna Farida Annisa Annisa Annisa Rifka Alifia Anton Suhartono Aqila Yusriyya Hanun Aref Vai Arham Arham Arief Rachman Hakim Arief Seno Nugroho Arif Widagdo Ariyo Kurniawan Arman Sayuti Arumi Savitri F Aryani Sairun Aryono Rahmad Hakim Aselina Pratidina Wrediningsih Aulia Syafidah Ayuni Ruslina B.Y. Eko Budi Jumpeno Bandhia Ayu Lestari Budi Warsito Cakra Kurniawan Christina Irnani Cut Nila Thasmi Cyntia Surya Utami Darari Rahma Lalita Darmanto Silalahi Darmawi Darmawi Dasrul Dasrul Daulat Saragi Dede Rusmawan Dedi Nugraha Delfiana Anggraini Permatasari Dhiniaty Gularso Di Asih I Maruddani Diah Safitri Dian Febriana Dita Rosita Sari Dita Ruliana Djoko Adi Walujo Dwi Ispriyanti Dwi Ispriyanti Dwi Ispriyanti Dwi Sari Tristiana Eko Adyan Sukanianto Elsa Mariane Ramadani Endra Susila Erna Fransisca Angela Sihotang Erna Musri Arlita Erwin Erwin Esti Pratiwi Etriwati E Fakhrurrazi Fakhrurrazi Farzand Abdullatif Fatkhan Arissetya Fatma Septy Deviana Firda Shintia Dewi Friska Irnas Adiyani Frisyi Alfiah Gholib Gholib Ginta Riady Hamdan Hamdan Hamdani Budiman Hartono Hartono hartono hartono Hartono Hartono Haryanti Novitasari Hasbi Yasin Hayuk Permatasari Ilham Indra Bakti Al-Irsyad Ilhan Samudra Fattah Indah Nurhayati Indrarini D. I. Indria Tsani Hazhiah Ira Susanti Ismail Ismail Issabella Marsasella Christy Jenesia Kusuma Wardhani Joko Sutrisno Julia Kardin Juliani Juliani Kelik Isbiyantoro Khusnul Yeni Widiyanti Kiky Moelviani Kofifah Indar Prawansyah Lailatus Sya’diyah Laily Nadhifah Lenti Agustina Lianasari Tambunan Leny Darlem Luthfi Nashukha Dewi M Daud AK M Nur Salim M. Chairul Amri M. Hasan Mahdi Abrar Mahdi Abrar Martyanto Tedjo Masfuhurrizqi Iman Mekar Sekar Sari Melati Puspa Nur Fadlilah Meliy Marsanda Merynda Indriyani Syafutri Moch. Abdul Mukid Muhammad Al Kholif Muhammad Faizin Muhammad Hambal Muhammad Hanafiah Muhammad Nur Salim Muslim Akmal Mustafid Mustafid Muzammil Muzammil Nabigus Thoriq Harasta Nandita Aprilia Ayu Virnanda Nia Puspita Sari Niha Kamaliya Niken Nindyaiswari Noveda Mulya Wibowo NOVIA RAHMAWATI Nur Paramita Nira Mulyono Nurliana Nurliana NURLIANA NURLIANA Nursihan Nursihan Nurul Trianda Prameswari R. Kusumo Pratiwi Purnama Sari Prizka Rismawati Arum Pujiono Pujiono Pungut Pungut Pungut, Pungut Purina Pakurnia Artiguna Putra Halomoan Siregar Rahmah Merdekawaty Rany Wahyuningtias Ratnawati, Rhenny Razali Daud Razali Razali Restu Dewi Kusumo Astuti Rinidar Rinidar Rintan Aulal Ilmy Rita Rachmawati Rita Rahmawati Rivaldi Luthfi Rizki Aulia Rohiman Rohiman Roslizawaty Roslizawaty Rukun Santoso Rusli Rusli Salsabilah Balqis Sehah Sehah Sigit Puspito Sigma Wahyuni Silvia Rahmawati Simon Petrus Silalahi Siti Aisyah Siti Anisah Siti Azizah Siti Maghfirotin Soimah Siti Ma’rifah Slamet Slamet Slamet Slamet Sofia Cahyatilmasamah Sri Maya Sari Damanik Sri Wahyuni Sudarno Sudarno Suparno Suparno Suparti Suparti Susi Darmayanti Susy Sriwahyuni Sutrasno Sutrasno Swasnita Swasnita Syaiful, Friska Sylvi Natalia P P T. Armansyah TR T. Fadrial Karmil Tarno Tarno Tatik Widiharih Teuku Reza Ferasyi Teuku Reza Ferasyi Teuku Zahrial Helmi Tiani Wahyu Utami Titin Afriana Tongku Nizwan Siregar Triastuti Wuryandari Tristanti Tristanti Ulya Chofifah Ummu Balqis USWATUN HASANAH Vara Tassa Sutari Velly Ika Arfianda P A Vita Dwi Rachmawati Wahyu Wibawa Wayaning Apsari Widodo Soemadi Widya Ayu Yuliana Widya Nanda Wilis Ardiana Pradana Yuciana Wilandari Yudan Hermawan Yunanur Hanikmah Yustina Tri Handayani Yusuf Arifka Rahman Zamroni Zamroni Zaroh Irayani Zuhrawati NA Zulpikar Zulpikar

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