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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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PENENTUAN MODEL DAN PENGUKURAN KINERJA SISTEM PELAYANAN PT. BANK NEGARA INDONESIA (PERSERO) Tbk. KANTOR LAYANAN TEMBALANG Masfuhurrizqi Iman; Sugito Sugito; Dwi Ispriyanti
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

PT. Bank Negara Indonesia (Persero) Tbk. Tembalang Services Office is a provider of service facilities engaged in the financial sector. As a service facilities provider, queue problem is a problem that occurs absolute and must be considered. The queuing situation occurs because the number of customers in a service facility that exceeds the capacity available to perform such services. At PT. Bank Negara Indonesia (Persero) Tbk. Tembalang Services Office, the queue occurs both at the Teller and Customer Service. After analysis, the best model of a queuing system at the Teller is (M/M/3):(GD:∞:∞), while the best model of queuing system in the Customer Service section is (M/M/2):(GD:∞:∞). The model can be concluded that the queue system available in PT. Bank Negara Indonesia (Persero) Tbk. Tembalang Services office is optimal. Keywords : PT. Bank Negara Indonesia (Persero) Tbk. Tembalang Services Office, queuing system, Teller, Customer Service

PEMODELAN RETURN SAHAM PERBANKAN MENGGUNAKAN EXPONENTIAL GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (EGARCH) Noveda Mulya Wibowo; Sugito Sugito; Agus Rusgiyono
Jurnal Gaussian Vol 6, No 1 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

ARIMA model is basically one of the models that can be applied in the time series data. In this ARIMA model, there is an assumption that the error variance of this model is constant. The price of stocks of the time series financial data, especially return has the trend to change quickly from time to time and it is actually fluctuative, so its error variance is inconstant or in another word, it calls as heteroscedasticity. To overcome this problem, it can be used the model of Autoregressive Conditional Heteroscedasticity (ARCH) or Generalized Autoregressive Conditional Heteroscedasticiy (GARCH). Furthermore, the financial data commonly has the different effect between the value of positive error and negative error toward the volatility data that is known as asymmetric effect. Indeed, one of the models used in this research, to overcome the problem of either heteroscedasticity or asymmetric effect toward the return of the close-stocks price of Banking daily is GARCH of asymmetric model that is Exponential Generalized Autoregressive Conditional Heteroscedasticity (EGARCH). The data of this research is the return data of the close-stocks price of Banking in November 1st 2013 to August 24th 2016. From the result of this analysis, it is gained several models of EGARCH. ARIMA model ([2,4],0,[2,4])-EGARCH (1,1) is such a best model for it has the lowest AIC value than any other models.Keywords: Return, Heteroscedasticity, Asymmetric effect, ARCH/GARCH, EGARCH.

ANALISIS PEMBENTUKAN PORTOFOLIO PADA PERUSAHAAN YANG TERDAFTAR DI LQ45 DENGAN PENDEKATAN METODE MARKOWITZ MENGGUNAKAN GUI MATLAB Titin Afriana; Tarno Tarno; Sugito Sugito
Jurnal Gaussian Vol 6, No 2 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Portfolio is one of ways in investment activity that undertaken by more than one asset with intent to determining the amount of proportion of investment that to be made in a certain period of time. To determine optimal portofolio, one of analysis model which can be played is Markowitz. Markowitz exressed through diversification concept (with making of the optimal stock of portfolio), investor can maximize the expected income from investments with specific risk level or seeking to minimize risk to target certain profit level. To simplify the calculation of the portfolio for public, there is an application that made by using GUI in Matlab. Matlab (Matrix Laboratory) is an interactive programming system with basic elements of array database which dimensions do not need to be stated in a particular way, while the GUI is the submenu of Matlab. Generally, Matlab GUI is more easily learned and used because it worked without need to know the commandments and how the command works. The data used in this study consists of five types of assets in the LQ45 group, there are BBNI, PWON, PTBA, INCO, dan KLBF. In determining the portfolio proportion used trial and error method and Lagrange method. Based on the portfolio proportion of both methods obtained the optimal portfolio is almost the same. Keywords: GUI Matlab, LQ45, Portfolio, Markowitz, Trial and Error, Lagrange

PERBANDINGAN MODEL PERTUMBUHAN EKONOMI DI JAWA TENGAH DENGAN METODE REGRESI LINIER BERGANDA DAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION Kelik Isbiyantoro; Yuciana Wilandari; Sugito Sugito
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

One of the equipments to see the success of the Government in economics field is the economic growth. To see the economic growth of a region, can be seen from the growth of region Gross Domestic Product (GDP). All this time, the economic growth is often modeled by multiple linear regression, whereas the model describes the general conditions. In fact, there are differences such as geographical factor, socio-cultural circumstance, and the other matters. This allows the appearance of spatial heterogenity in the regression parameters, to overcomes it, the OLS (Ordinary Least Square) regression is developed into Georaphically Weighted Regression (GWR). This model is a local linear regression model that generates local estimator model parameters for each point or location where the data is collected. This research discusses the factors that effect the economic growth in Central Java. The model suitability testing result shows that there is no differences in multiple linear regression model and GWR model toward the economic growth in Central Java. Results of the research shows there are three variables that have effect, they are: Total Labor Force, Major MSEs, and the number of markets. The three variables have the same effect in each county / city.

ANALISIS ANTRIAN RAWAT JALAN POLIKLINIK LANTAI 1, LANTAI 3 DAN PENDAFTARAN RSUP Dr. KARIADI SEMARANG Vita Dwi Rachmawati; Sugito Sugito; Hasbi Yasin
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Hospital is an organization social and health that provides complete (comprehensive), the healing of disease (curative) and disease prevention (preventive) to the public. Hospital quality can be know from the professionality hospital personnel, efficiency, and effectiveness of services.The duration of registration procedure and service for doctor consultation can affect patient satisfaction of Outpatient Hospital Dr. Kariadi Semarang in obtaining health care. Therefore, it’s necessary queuing models that suitable. so as to obtainable an effective service, balance and efficient which can reduce the long queues and long waiting time. From the analysis, obtainable queuing models at the registration that is (M/M/8):(GD/∞/∞) with the counter number 8 server. In the vct-cst polyclinic and child development polyclinic the model is (M/M/1):(GD/∞/∞) with the number of server 1 doctor while for the nervers polclinic, child health, internal disease, gynecologic and obstetrics, cdc, general surgery, hemodialysis and kb, fertility and the test tube babies that is (M/M/c): (GD/∞/∞) with the number of servers depending on each clinic.

PEMODELAN PROPORSI PENDUDUK MISKIN KABUPATEN DAN KOTA DI PROVINSI JAWA TENGAH MENGGUNAKAN GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSION Khusnul Yeni Widiyanti; Hasbi Yasin; Sugito Sugito
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Regression analysis is a statistical analysis that aims to quantify the effect of predictor variables on the response variable. Geographically Weighted Regression (GWR) is a local form of regression and a statistical method used to analyze spatial data. Geographically and Temporally Weighted Regression (GTWR) is the development of GWR models to handle data that is not stationary both in terms of spatial and temporal simultaneously. In obtaining estimates of parameters of the GTWR model can be used Weighted Least Square method (WLS). Selection of the optimum bandwidth used method of Cross Validation (CV). Conformance testing global regression and GTWR models approximated by the distribution of F, whereas the partial testing of the model parameters using the t distribution. Application GTWR models at the level of poverty in Central Java province in 2008 to 2012 showed GTWR models differ significantly from the global regression model. Based on R2 and Mean Squared Error (MSE) value between the global regression model and GTWR models, it is known that the GTWR model with exponential weighting kernel function is the best model is used to analyze proportion of poor people in Central Java province in 2008 to 2012 because it has a value of R2 larger and MSE is the smallest. Keywords: Bandwidth, Cross Validation, Exponential Kernel Functions, Geographically and Temporally Weighted Regression, Weighted Least Square, R2, Mean Squared Error.

PERHITUNGAN SUKU BUNGA EFEKTIF UNTUK PENENTUAN ALTERNATIF PEMBIAYAAN KENDARAAN MOTOR PADA LEASING DAN BANK DENGAN METODE INTERPOLASI LINIER (Studi Kasus Harga Sepeda Motor Honda Beat Injeksi Terdaftar Bulan September 2014) Swasnita Swasnita; Suparti Suparti; Sugito Sugito
Jurnal Gaussian Vol 4, No 2 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Imposition of interest rates by the bank and leasing in providing credit is different. The interest rate usually not included in the brochure loan installments. The calculation of the interest rate can be calculated using the flat rate and the effective interest rate. In the calculation of the effective interest rate can be performed using linear interpolation. Determination of the motorcycle financing alternative most favorable to the customer, can be seen from the lowest interest rates charged. The results of the case study Honda Beat injection prices listed September 2014 on credit motorcycle through leasing Central Sentosa Finance (CSF), leasing Adira Multifinance (Adira) and credit through Bank Rakyat Indonesia showed the lowest interest rate on the lease Central Sentosa Finance (CSF). In addition to low interest rates charged are other benefits that the filing procedures quickly and without collateral (guarantee). Keywords : Flat Interest Rate, Effective Interest Rate, Linear Interpolation, Leasing, Bank

ANALISIS SISTEM ANTRIAN PADA LAYANAN PENGURUSAN PASPOR DI KANTOR IMIGRASI KELAS I SEMARANG Purina Pakurnia Artiguna; Sugito Sugito; Abdul Hoyyi
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Queue is something that can not be separated in everyday life. Almost all services will form a queue, including passport treatment services at the Immigration Office Class I Semarang.To solve the problems associated with the queue, queuing system model needs to be determined in accordance with the conditions and characteristics queue of the service facility at the Immigration Office Class I Semarang appropriately. So it can be known the measure of system performance to create an effective and efficient service. Based on the data analysis of the six (6) counters work, obtained queuing system model that occurs at the Immigration Office Class I Semarang is, (M/M/2) queuing model for Passports Taking Counter and Customer Service Counter, queuing model for file transfer counter and payment transfer counter, and queuing model for photos counter and interview counter. The effectiveness of the applicant’s passport service process can be determined by calculating the average number of applicants in the system and queue, calculates the average time spent in the system and queue, and calculates the probability of a server that is not serving an applicant. Keywords : Queuing system model, Passport’s services, Size of system performanceANALISIS SISTEM ANTRIAN PADA LAYANAN PENGURUSAN PASPOR DI KANTOR IMIGRASI KELAS I SEMARANG

ANALISIS ANTRIAN DALAM OPTIMALISASI SISTEM PELAYANAN KERETA API DI STASIUN PURWOSARI DAN SOLO BALAPAN Siti Anisah; Sugito Sugito; Suparti Suparti
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Train is one of mass transportation’s mode in great demand by the people of Indonesia. Purwosari and Solo Balapan stations are place which often visited by the public to travel long distances by using the train from economy class, business and executive. With so many types of trains that pass through the station, so the queuing analysis needs to be done to find out how the train service system at the station. From the results obtained, the queuing model at the Purwosari station is (M/M/2):(GD/∞/∞) for model lanes of 1 and 4 and lanes of 2 and 3. For the queuing model from lanes of 1 and 5 in the Solo Balapan station obtained models (M/M/2):(GD/∞/∞). Later models of queuing lanes of 2,3, and 4 at the station Solo Balapan is (M/M/3):(GD/∞/∞), while lane of 6 is (M/M/1):(GD/∞/∞). Keywords: Train, Purwosari and Solo Balapan Stations, Queuing models.

KLASIFIKASI WILAYAH DESA-PERDESAAN DAN DESA-PERKOTAAN WILAYAH KABUPATEN SEMARANG DENGAN SUPPORT VECTOR MACHINE (SVM) Mekar Sekar Sari; Diah Safitri; Sugito Sugito
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

This research will be carry out classification based on the status of the rural and urban regions that reflect the differences in characteristics/ conditions between regions in Indonesia with Support Vector Machine (SVM) method. Classification on this issue is working by build separation functions involving the kernel function to map the input data into a higher dimensional space. Sequential Minimal Optimization (SMO) algorithms is used in the training process of data classification of rural and urban regions to get the optimal separation function (hyperplane). To determine the kernel function and parameters according to the data, grid search method combined with the leave-one-out cross-validation method is used. In the classification using SVM, accuracy is obtained, which the best value is 90% using Radial Basis Function (RBF) kernel functions with parameters C=100 dan γ=2-5. Keywords : classification, support vector machine, sequential minimal optimization, grid search, leave-one-out, cross validation, rural, urban

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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