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Journal : Jurnal Gaussian

SISTEM ANTRIAN PADA PELAYANAN CUSTOMER SERVICE PT. BANK X Melati Puspa Nur Fadlilah; Sugito Sugito; Rita Rahmawati
Jurnal Gaussian Vol 6, No 1 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (648.545 KB) | DOI: 10.14710/j.gauss.v6i1.14769

Abstract

Customer Service is one form of service facility at PT. Bank X which is directly related with the public as customers. It contains kind of transactions that often caused a queue. To increase public interest in the activities of banking transactions, the facility provider tries to gives satisfaction to the customers who come, so they do not have to wait too long but without make disadvantages to the existing service system. Queueing analysis have been done in order to determine how the service system of Customer Service. Based on the analysis of research data on June, 27th 2016 to July, 1st 2016, a queueing model on Customer Service PT. Bank X is (Poisson/Weibull/3):(FCFS/∞/∞) with the customer arrival rate does not exceed the service rate. In that queueing model, the number of arrivals is Poisson distribution, service time is Weibull distribution and there are three service counters. Queueing discipline that applied is customers will be served were the first comes to the bank, with the system capacity and the calling population of customers is infinite. To provide information as a reference or consideration to the PT. Bank X, then a simulation with the software called Arena has been done to determine the performance of the service system with the addition or subtraction of the number of Customer Service.Keywords: Service, Customer, Bank, Customer Service, Queueing Model, Simulation, Arena.
ANALISIS ANTRIAN ANGKUTAN PENYEBERANGAN PELABUHAN MERAK Ariyo Kurniawan; Sugito Sugito; Yuciana Wilandari
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (519.997 KB) | DOI: 10.14710/j.gauss.v4i3.9426

Abstract

Marine transportation has an important role on economy and migration from one island to another island. Port is a gateway to enter an area and connecting infrastructure between islands. Merak port as the connector of traffic lanes between Java’s island and Sumatra’s island with Ro-Ro ship. Ro-Ro ship is marine transportation that can load a vehicle rolling on and rolling off the ship with its auto-movement (Roll on Roll off). As a service provider of the Ro-Ro ships, the port of Merak trying to serve Ro-Ro ship as good as possible. Measurement of performance system can be analyzed with direct research in the port. The research is being done by observation and recording of the Ro-Ro ships at the pier port of Merak. Based on the results of the analysis, queue model at the port of Merak is (G/G/5) :(GD/∞/∞). Queuing system simulation and ship docking’s cost analysis can be a reference for the port in optimizing management performance the port of Merak crossing. Keywords: supplemental cost, defined benefit plans, accrued benefit cost.
IDENTIFIKASI MODEL ANTRIAN BUS RAPID TRANSIT (BRT) PADA HALTE OPERASIONAL BRT SEMARANG Niken Nindyaiswari; Sugito Sugito; Yuciana Wilandari
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (576.157 KB) | DOI: 10.14710/j.gauss.v4i3.9483

Abstract

The process of a queue is a process related with the attending of customers in a service facility, standing in line waiting for the service while the servers are busy servicing the other customers, the customers will leave the facility after getting the service. This process is usually happened in the public services such as at the operational shelter of Semarang Bus Rapid Transit (BRT) Semarang. BRT Semarang has 4 departure gates and transit bus stop passed by all of the buses. The BRT does not have special track. It has to pass though the same road as the other kinds of buses. As a result there are queues in some crowded BRT shelters especially at the service in the departure and shelters that are passed through by all BRT or tracks. An effective special queue model is needed to make the service in the departure and transit shelter more effective. Based on the result of the analysis the best queue model is at the departure shelter track I, II, III, and IV they use the same models (M/G/1) (GD/∞/∞) and the queue models at the City Hall Transit Shelter are (G/G/1) (GD/∞/∞). Key words: queue process, model of queue, Semarang BRT
PREDIKSI RETURN PORTOFOLIO MENGGUNAKAN METODE KALMAN FILTER Dita Rosita Sari; Tatik Widiharih; Sugito Sugito
Jurnal Gaussian Vol 5, No 4 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.579 KB) | DOI: 10.14710/j.gauss.v5i4.14722

Abstract

Stock is an evidence for individual or institutional ownership about a company. To cover losses in stocks investment, should be done diversification to spread  risk in some stocks called as portfolio. Portfolio is a joint of two or more stocks investment that are choosen as investment’s targets over spesific time periods and certain rules. To minimize losses in stocks investment, needed to predict portfolio return for some coming periods. Good prediction has small difference with actual data. One method that can minimize MSE is Kalman Filter. Kalman Filter estimates a process through feed back Control Mechanism called recursion. The variable used are monthly portfolio return of PT Mayora Indah Tbk and PT Indofood Sukses Makmur Tbk in January 2005 until December 2015. Data In January 2005 until December 2014 are used to predict the return portfolio for Year 2015. After that, an interval is made for those forecast results and compare with actual data. If actual data are residing in the interval, then Kalman Filter method can be used to predict portfolio return for year 2016. The MSE value with kalman Filter is 0,00225 and the MSE value with Box-Jenkis method is 0,00253, so Kalman Filter can minimize the MSE value. Keywords : portfolio return, Box-Jenkins, Kalman Filter
KLASIFIKASI KINERJA PERUSAHAAN DI INDONESIA DENGAN MENGGUNAKAN METODE WEIGHTED K NEAREST NEIGHBOR (Studi Kasus: 436 Perusahaan Yang Terdaftar Di Bursa Efek Indonesia Tahun 2015) Cyntia Surya Utami; Moch. Abdul Mukid; Sugito Sugito
Jurnal Gaussian Vol 6, No 2 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (620.257 KB) | DOI: 10.14710/j.gauss.v6i2.16947

Abstract

A company's performance can be seen from the analysis of the company's financial statements. Financial statement analysis is used to determine the development of the company's financial condition. In analyzing the financial statements required financial ratios depicting the weight of the company's performance. This thesis aims to classify the performance of the company into two classifications, namely the company healthy and unhealthy companies as well as determine the level of accuracy. This final project using financial ratio data 436 companies listed in the Indonesia Stock Exchange in 2015 which has been audited and is divided into two parts of 349 training data and 87 test data. The method used is the weighted k nearest neighbor with a dependent variable is the performance of the company and six independent variables are financial ratios WCTA, ROA, TATO, DAR, LDAR and ROI. The results of this thesis show that the method of calculation of weighted k k nearest neighbor optimal done by trial and error. Provided that the optimal k at k = 3 for kernel inversion, epanechnikov and triangles while for optimal kernel k gauss at k = 4. The accuracy of classification and classification performance of the company gave almost the same results by using kernel inversion, Gauss, epanechnikov and triangles. Keywords: financial ratios, weighted k nearest neighbor and kernel inversion, Gauss, epanechnikov and triangles.
ESTIMASI PARAMETER REGRESI LOGISTIK MULTINOMIAL DENGAN METODE BAYES Wayaning Apsari; Hasbi Yasin; Sugito Sugito
Jurnal Gaussian Vol 2, No 1 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.108 KB) | DOI: 10.14710/j.gauss.v2i1.2746

Abstract

Multinomial logistic regression is a logistic regression where the dependent variable is polychotomous is dependent variable value of more than two categories. Multinomial logistic regression parameter estimation usually use classical method that is based only on current information obtained from the sample without taking into account the initial information of logistic regression parameters. If have early information  about parameter is prior distribution, the parameter estimation can use Bayes method. Bayesian methods combine information on the sample with prior distribution of information, and the results are expressed in the posterior distribution. If posterior distribution can not be derived analytically so approximated using Markov Chain Monte Carlo (MCMC) algorithm especially Metropolis-Hastings algorithm. This algorithm uses acceptance and rejection mechanism to generate a sequence of random samples. Keyword: Multinomial Logistic Regression, Bayes Method, Markov Chain Monte Carlo algorithm (MCMC), Metropolis-Hastings algorithm.
ANALISIS PASIEN RAWAT INAP BERDASARKAN KELAS PERAWATAN DI RSUP Dr. KARIADI SEMARANG DENGAN METODE ANTRIAN Friska Irnas Adiyani; Sugito Sugito; Triastuti Wuryandari
Jurnal Gaussian Vol 2, No 4 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (603.585 KB) | DOI: 10.14710/j.gauss.v2i4.3794

Abstract

Health is the right of everyone. RSUP Dr. Kariadi as one of the health service facilities has an obligation to provide service optimally to overcome the necessities and complaints of the patients. Nevertheless, the high number of patients that are not in balance with the amount of service facilities be constraints in achieving this purpose, so the patient must be entered the waiting-list or having a queuing situation. This situation happens in queuing system of the hospitalization patients at the place for registration of hospitalization patients (TPPRI) and at the care room installation of hospitalization A and B RSUP Dr. Kariadi Semarang. Therefore, it is necessary to determine the queuing system models that is appropriately with the conditions and characteristics of the queuing at TPPRI and care room that classified based on care class. So it can help in determining the decision to achieve the effective and efficient service. From the analysis result, the best queuing model for TPPRI is  and for the care room that is classified based on care class are  for the main class,  for the first class, for second class,  dan the last  for third class.
OPTIMALISASI JUMLAH BATU BATA YANG PECAH MENGGUNAKAN DESAIN EKSPERIMEN TAGUCHI (Studi Kasus: Usaha Batu Bata Bapak Kholil Ds. Bulak Karangawen) Cakra Kurniawan; Hasbi Yasin; Sugito Sugito
Jurnal Gaussian Vol 3, No 2 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (471.544 KB) | DOI: 10.14710/j.gauss.v3i2.5907

Abstract

Brick is a substansial element in building construction. The strength of building may depend on bricks, a solid construction uses the best quality brick’s, which is not crumbling and broken into two parts. There are two popular types of bricks in Semarang, Penggaron bricks and Welahan bricks, Penggaron bricks is the most desirable type in market, but the quality of Penggaron bricks is worse than Welahan bricks, because the Penggaron bricks broken pieces are much more than Welahan’s. So that Penggaron bricks were taken to do research in purpose of optimizing the number of brick’s broken pieces that occurred during the production process. The method being used was the "Taguchi Design of Experiments" using Smaller is Better as quality character. The outcome of pre-experimental study was 3 factors and 2 levels so that L4 Orthogonal Array was used. After analyzing and conducting confirmation experiment, the result was obtained as follow, at the initial conditions, there are 4.6% of broken bricks, the broken bricks became 1.8%, after the experiment. The 1.8% of broken bricks were still within the range of the predicted value 1% to 2%.
PENENTUAN MODEL DAN UKURAN KINERJA PROSES ANTRIAN PADA UNIT PELAYANAN TEKNIK DINAS PUSKESMAS LIMBANGAN KABUPATEN KENDAL Fatkhan Arissetya; Sugito Sugito; Sudarno Sudarno
Jurnal Gaussian Vol 3, No 3 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.937 KB) | DOI: 10.14710/j.gauss.v3i3.6447

Abstract

The UPTD (Unit Pelayanan Teknik Dinas) of Local Government Clinic of Limbangan in Kendal Regency is the only health-service in Limbangan Sub-district although there is another health-service such as doctors and midwifes. Since there are many people coming to the Local Clinic of Limbangan, it causes quite long queue. Therefore, it is needed to analyze the queuing model to finding out the system of the activity measure, so it can be concluded the queuing description and the service. If the distributrion of the arrival or the service is poisson or exponential, so the model is Markovial (M). However, if the distribution is not poisson or exponential, so the model is General (G). The queuing model of outpatients includes Regristrtion-Counter (M/G/1):(GD/∞/∞) , Medical Service (M/M/3):(GD/∞/∞)  and Medicine-Counter (M/G/1):(GD/∞/∞). Meanwhile, the queuing model of hospitalized patients covers Hospitalized Rooms (M/M/16):(GD/∞/∞) and Payment Counter (M/G/1):(GD/∞/∞). It has been found out the best queue from the analysis in UPTD Local Government Clinic of Limbangan that is registration counter because the service time is quick and there are few queuing patients, so it won’t be hoarding
PENENTUAN VALUASI PORTOFOLIO OBLIGASI DENGAN CREDIT METRICS DAN MONTE CARLO SIMULATION Arief Seno Nugroho; Di Asih I Maruddani; Sugito Sugito
Jurnal Gaussian Vol 2, No 3 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (464.515 KB) | DOI: 10.14710/j.gauss.v2i3.3663

Abstract

The capital market is one way to get funding for the company and as a medium to strengthen corporate finance position. One of the instruments that are traded than stocks are bonds. The advantage of this instrument because it is easy and rapid acquisition of funds to beused for the operations of the corporate and the period of payment is longer. Bond investment must be noticed valuations and credit risk, with calculating the valuation can be estimate bonds credit risk. Credit Metrics is a reduced form model to estimate the risk of displacement of ratings. The risk not only occur when corporate rating be default but also if the rating upgrade or downgrade. For the determination of the portfolio valuation can be used Monte Carlo simulation using generate scenarios corporate ratings. Empirical study can be used for three bonds there are Obligasi II Bank Danamon Tahun 2010 Seri B, Obligasi II Telkom Tahun 2010 Seri A, and Obligasi Indofood Sukses Makmur V Tahun 2009. Each has an average valuation of 1.013,039 billion, 1.179,203 billion and 2.259,284 billion. The valuation of the portfolio amounted to 4.451,52 billion and a standard deviation 70,33 billion
Co-Authors . Aprizal 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 Alief Abdullah Faqih 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 Any Nurhasanah Aqila Yusriyya Hanun Aref Vai Arham Arham Arief Rachman Hakim Arief Seno Nugroho Arif Widagdo Ariyo Kurniawan Arman Sayuti Aryani Sairun Aryono Rahmad Hakim Aselina Pratidina Wrediningsih Aulia Syafidah Ayuni Ruslina B.Y. Eko Budi Jumpeno Baehaqi 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 Devi Peggy Utami 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 F, Arumi Savitri 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 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 R. Burhan Sn. Diningrat Rahmah Merdekawaty Rany Wahyuningtias Ratnawati, Rhenny Razali Daud Razali Razali Resti Tiara Kastrovia 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