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REGRESI TERBOBOTI GEOGRAFIS DENGAN PEMBOBOT KERNEL KUADRAT GANDA UNTUK DATA KEMISKINAN DI KABUPATEN JEMBER Rita Rahmawati; Anik Djuraidah
FORUM STATISTIKA DAN KOMPUTASI Vol. 15 No. 2 (2010)
Publisher : FORUM STATISTIKA DAN KOMPUTASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.642 KB)

Abstract

The determination of whether  rural areas are considered  poor or no are usually based on  the average cost per capita with a global analysis that needs independent observations and the results are applied to all villages. But it is very likely that poverty would be influenced by space and neighboring areas, so the data between observations are rarely independent. One of the statistical analysis that encounters this spatial problem is Geographically Weighted Regression (GWR), which  gives different weights to each geographical observation. In this paper, the weighting used for the GWR model is kernel bi-square, with its bandwidth values respectively. Optimal bandwidth can be obtained by minimizing the value of cross validation coefficient (CV). The results showed that the GWR model is more effective than the regression to analyze the data on average expenditure per capita in Jember.
FUZZY SUBTRACTIVE CLUSTERING BERDASARKAN KEJADIAN BENCANA ALAM PADA KABUPATEN/KOTA DI JAWA TENGAH Diah Safitri; Rita Rahmawati; Onny Kartika Hitasari
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 5, No 2 (2017): Jurnal Statistika
Publisher : Program Studi Statistika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Muham

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.612 KB) | DOI: 10.26714/jsunimus.5.2.2017.%p

Abstract

Bencana alam adalah bencana yang diakibatkan oleh peristiwa atau serangkaianperistiwa yang disebabkan oleh alam.  Provinsi Jawa Tengah terdiri dari 76kabupaten/kota, kabupaten/kota tersebut dapat dikelompokkan menjadi beberapakelompok berdasarkan frekuensi terjadinya bencana, yang mana masing-masingkelompok mempunyai karakteristik yang berbeda berdasarkan kejadian bencana alam.Metode untuk mengelompokkan yang digunakan dalam penelitian ini adalah FuzzySubtractive Clustering yang merupakan metode dalam fuzzy. Dari penelitian ini dapatdisimpulkan bahwa cluster dengan jari-jari 0,92 – 0,94 merupakan jumlah cluster yangterbaik yang digunakan dalam permasalahan ini. Pada jari-jari (r) antara 0,92 – 0,94diperoleh kesamaan kecenderungan data yang masuk pada setiap cluster, maka clusteryang terbentuk dengan r = 0,92 sampai 0,94 adalah sebagai berikut, cluster 1 terdapat14 Kabupaten/Kota, cluster 2 terdapat 7 Kabupaten/Kota, cluster 3 terdapat 7Kabupaten/Kota, cluster 4 terdapat 5 Kabupaten/Kota, dan Cluster 5 terdapat 2 Kabupaten/Kota.Kata Kunci: bencana alam, fuzzy subtractive clustering
METODE DBSCAN UNTUK PENGELOMPOKAN KABUPATEN/KOTA DI PROVINSI JAWA TENGAH BERDASARKAN PRODUKSI PADI SAWAH DAN PADI LADANG Diah Safitri; Triastuti Wuryandari; Rita Rahmawati
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 5, No 1 (2017): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (50.227 KB) | DOI: 10.26714/jsunimus.5.1.2017.%p

Abstract

Padi merupakan tanaman yang penting di Jawa Tengah karena nasi merupakan makanan pokok sebagian besar masyarakat di Jawa Tengah. Provinsi Jawa Tengah terdiri dari 35 kabupaten/kota, dalam penelitian ini berdasarkan produksi padi sawah dan padi ladang, kabupaten/kota di Provinsi Jawa Tengah akan dikelompokkan menjadi beberapa kelompok menggunakan metode Density  Based Spatial Clustering Algorithm With Noise (DBSCAN)berdasarkan produksi padi sawah dan padi ladang, dimana pada masing-masing kelompok dapat dilihat karakteristiknya mengenai potensi produksi padi sawah dan padi ladang. Metode DBSCAN adalah metode yang tangguh untuk mendeteksi noise. Kelompok 1 terdiri dari Kabupaten/Kota di Provinsi Jawa Tengah selain yang sudah masuk dalam kelompok 2 dan 3, kelompok 1 adalah kelompok yang mempunyai hasil produksi padi sawah terendah dibandingkan dengan kelompok yanglain. Kelompok 2 adalah kelompok yang mempunyai hasil produksi padi ladang tertinggi dibandingkan dengan kelompok yang lain. Kelompok 2 terdiri dari KabupatenKebumen dan Kabupaten Blora. Kelompok 3 terdiri dari Kabupaten Sragen, Kabupaten Grobogan, Kabupaten Pati, Kabupaten Demak, dan Kabupaten Brebes, adalahkelompok yang mempunyai hasil produksi padi sawah tertinggi dibandingkan dengan kelompok yang lain. Pada penelitian ini ditemukan 2 noise, yaitu Kabupaten Cilacapdan Kabupaten Wonogiri.Kata Kunci: DBSCAN, Padi Sawah, Padi Ladang
PENERAPAN METODE WEIGHTED PRODUCT (WP) DAN ELIMINATION ET CHOIX TRANDUISANT LA REALITÉ (ELECTRE) DENGAN PEMBOBOTAN ENTROPY MENGGUNAKAN GUI MATLAB Eko Adyan Sukanianto; Sugito Sugito; Rita Rahmawati
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 7, No 1 (2019): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.7.1.2019.%p

Abstract

Arena of Valor (AOV) adalah mobile game yang diterbitkan oleh Garena di Indonesia. Lima pemain dari setiap tim masing-masing memilih hero yang akan dimainkan dalam permainan.  Dengan memilih hero terkuat dari masing-masing role dapat memudahkan tim dalam menyusun strategi komposisi hero yang akan dipakai untuk meraih kemenangan. Pembobotan masing-masing kriteria dan pemilihan hero terkuat juga menjadi bahan pertimbangan oleh pihak pengembang untuk melakukan kontrol game agar stabil dan seimbang. Alternatif yang digunakan yaitu hero dari masing-masing role (Tank, Warrior, Assassin, Mage, Archer dan Support), sedangkan kriterianya adalah tingkat efek kemampuan (skill), maksimum HP (Health Points), serangan fisik, pertahanan dari serangan fisik, kecepatan pergerakan dan pemulihan HP setiap 5 detik. Dalam penelitian ini, penulis menggunakan metode WP dan ELECTRE untuk memilih hero terkuat dengan pembobotan metode Entropy. Penelitian ini menghasilkan sebuah GUI Matlab yang dapat digunakan untuk memudahkan komputasi dalam penyeleksian. Hasil dari perhitungan menunjukkan bahwa hero terkuat dalam AOV adalah Grakk (Tank), Astrid (Warrior), Ormarr (Warrior), Murad (Warrior/Assassin), Lauriel (Mage/Assassin), The Joker (Archer) dan Alice (Support). Sedangkan kriteria dengan bobot tertinggi adalah tingkat efek kemampuan.
ANALISIS KINERJA PORTOFOLIO OPTIMAL CAPITAL ASSET PRICING MODEL (CAPM) DAN MODEL BLACK LITTERMAN Anton Suhartono; Sugito Sugito; Rita Rahmawati
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 (498.597 KB) | DOI: 10.14710/j.gauss.v4i3.9425

Abstract

Stock portfolio is investment which comprised of various stocks from different companies, with the hope when the price of one stock decreases, while the other increases, investments do not suffer losses.The final stage in the investment process is to assess the performance of a portfolio. The purpose of portfolio performance assessment is to determine and analyze whether the formed portfolio have a better performance than other portfolios. Capital Asset Pricing Model (CAPM) explains that historical data and unrisk asset are used to to form portfolio. Black Litterman modelis developed by Robert Litterman and Fisher Black in the 1990s, forming a portfolio by combining historical data and investor intuition or investor views about the economic conditions that are happening. CAPM portfolio and Black Litterman model portfolio performance assessment can be performed by using Sharpe index, Treynor index and Jensen index. This research uses data from closing prices of stocks that join BISNIS-27 Index on period January 2010 until December 2014. Based on Sharpe index, Treynor index and Jensen index, optimal portfolio is CAPM portfolio with consisted by two stocks and the proportion investement are 86.936% for BMRI and 13.064% for INCO. Keywords: BISNIS-27 Index, Portfolio, Capital Asset Pricing Model (CAPM), Black Litterman Model, Treynor Index, Sharpe Index, Jensen Index.
PENERAPAN DIAGRAM KONTROL T2 HOTELLING PADA PROSES PRODUKSI KACA Muhammad Hilman Rizki Abdullah; Rita Rahmawati; Hasbi Yasin
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 (561.466 KB) | DOI: 10.14710/j.gauss.v4i3.9482

Abstract

SPC (Statistical Process Control) is a method used to monitoring the process of identifying the causes of variance and improve processes. In term of its variable characteristic, quality control in SPC can be divided into two kinds of univariate control charts and multivariate control charts. T2 Hotelling control chart is a multivariate control charts used in quality control process mean. In the process of glass production, This research was conducted in two stages by making use three major characteristics of quality, those are thickness, length and width. Application of T2 Hotelling control chart on the first phase of the signal are out of control, so it is necessary to identify the variable signal causes the uncontrolled use Decomposition MYT (Mason, Young and Tracy). Based on the identification of variables obtained that the variable width is the cause of the signal out of control. In the second phase is stable glass production process it shows the company has made improvements to the production process of phase II. Keywords: Statistical Process Control, Quality Control, Hotelling T2 control  chart, signal  out of control
ANALISIS KINERJA PORTOFOLIO OPTIMAL DENGAN METODE MEAN-GINI Mega Susilowati; Rita Rahmawati; Alan Prahutama
Jurnal Gaussian Vol 5, No 3 (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 (543.705 KB) | DOI: 10.14710/j.gauss.v5i3.14705

Abstract

Investments in financial assets has a special attraction that investors can form a portfolio. Portfolio is investment which comprised of various stocks from different companies. A common issue is the uncertainty when investors are faced with the need to choose stocks to be formed into a portfolio of his choice. A rational investor, would choose the optimal portfolio. Determination of the optimal portfolio can be performed by various methods, one of which is a method of Mean-Gini. Mean-Gini is the expected value of the portfolio return is the weight density function while the random variable is the average of the shares. Mean-Gini methods used to generate the greatest value of portfolio return expectations with the smallest risk. Mean-Gini does not require the assumption of normality on stock returns. Mean-Gini was first introduced by Shalit and Yitzhaki in 1984. This research uses data of closing prices stocks from January 2008 to December 2015. Measurement of portfolio performance with Mean-Gini performed using the Sharpe index. Based on Sharpe index, the optimal portfolio is second portfolio with three stocks portfolio and the proportion investments are 25.043% for SMGR, 68.148% for UNVR and 6.809% for BMRI. Keywords:   Stock, Portfolio, Mean-Gini, Sharpe index.
ANALISIS KESENJANGAN KUALITAS PELAYANAN TERHADAP PENGUNJUNG PERPUSTAKAAN UNIVERSITAS DIPONEGORO Dedy Douglas Harianja; Rita Rahmawati; Moch. Abdul Mukid
Jurnal Gaussian Vol 4, No 4 (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 (489.103 KB) | DOI: 10.14710/j.gauss.v4i4.10132

Abstract

Good quality service is not based on the perception of the service provider, but based on the perception of service users. If the service received exceed the expectations of users, the quality of service perceived as an ideal quality. This study aimed to analyze the quality of service to visitors to Diponegoro University library based on five variables dimensions of service quality (Service Quality), namely Tangibels, Reliability, Responsiveness, Assurance, and Empathy. Collecting data in this study using a questionnaire distributed to 97 students as respondents. The sampling method used was accidental sampling sampling method. The data obtained and analyzed using Importance Performance Analysis (IPA) and the Customer Satisfaction Index (CSI). Based on this research, calculations showed that all Service Quality indicator variable is negative, which means that all services provided is still below the expectations of library visitors. While the Cartesian diagram shows that there are four indicator variables are in quadrant Concentrate Here is the complete collection, ease of finding references, employee awareness of the needs of visitors, and the friendliness and courtesy of service that means should gradually be corrected immediately. Value Customer Satisfaction Index (CSI) of 72% which means that the overall level of visitor satisfaction is the criterion satisfied. Keywords: Service Quality, Importance Performance Analysis, Customer Satisfaction Index
ANALISIS SPASIAL PENYEBARAN PENYAKIT DEMAM BERDARAH DENGUE DENGAN INDEKS MORAN DAN GEARY’S C (STUDI KASUS DI KOTA SEMARANG TAHUN 2011) Nuril Faiz; Rita Rahmawati; Diah Safitri
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 (682.645 KB) | DOI: 10.14710/j.gauss.v2i1.2745

Abstract

Dengue Haemorrhagic Fever (DHF) is an infectious disease transmitted by the mosquito Aedes aegypti through its the virus dengue virus from patient to another via the bite. Rate dependence dengue in an area estimated to be affected by dengue fever in other neighboring areas. The statement was supported by the First Law of Geography expressed Tobler that all things related to everything else, but near things are more related than distant things. Therefore, if a dengue endemic area, the suspected region make the area immediately adjacent to endemic dengue with a new one. The purpose of this study was to determine whether there is spatial autocorrelation in the spread of dengue fever in the city of Semarang. Limited to methods index and Geary's C Moran and mapping the spread of dengue fever in the city of Semarang with respect to the location (district) in 2011. Of the two methods used showed a pattern of spread of Dengue Hemorrhagic Fever (DHF) are spatially in Semarang and show positive spatial autocorrelation, indicating a nearby location to have similar values, and tend to cluster. Keyword: Dengue Hemorrhagic Fever (DHF), Spatial, Moran Index, Geary’s c.
METODE LENTH PADA RANCANGAN FAKTORIAL FRAKSIONAL 3^(k-p) DENGAN ESTIMASI EFEK ALGORITMA YATES Mutiara Ardin Rifkiani; Rita Rahmawati; Abdul Hoyyi
Jurnal Gaussian Vol 4, No 4 (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 (646.966 KB) | DOI: 10.14710/j.gauss.v4i4.10230

Abstract

Factorial design often is used in experiments on various fields to identify the influence of main factors and interaction factors to respons were observed. A design which has k factors with three levels for each factor called  factorial design. For a large number of factors, fractional factorial design  is an effective alternative because it has less combination of treatment than  factorial design, but it still has important needed information. In experiments conducted without repetition, determining factors that influence towards response is difficult to be analyzed if using analysis of variance. It was due to the the average of squared error absence, where error variance estimation is based on the variability of the data obtained from  repeated observations. To overcome this, we use Lenth Method to identify the factors that affect the response. Lenth method uses the value of the statistic margin of error (ME) test for the main factor, and  simultaneous margin of error (SME) for the interaction factor. The calculation of the statistic test ME and SME values are based on the estimated effects of each treatment. Yates algorithm is used to calculate the effect’s estimation for each  treatment. To clarify the discussion about this matery is given an example of fractional factorial design  application with 27 experiments on combustion boiler. The results indicate that treatment factors are influenced towards the response are , , ,  dan . Keywords: three-level fractional factorial, factorial without replication, Lenth Methods, Yates Algorithm
Co-Authors - Siswandari Abd. Rahman, Ika Marlina Abdul Djohar Abdul Hoyyi Abraham Yazdi Martin Abubakar Iskandar Adisti Permatasari Putri Hartoyo Afrizal Sidik Agung Santoso Agus Rusgiyono Agus Setiawan Agustifa Zea Tazliqoh Agustinus Lolok AHMAD BURHANUDDIN Ahmad Desta Reswandi Alan Prahutama Alan Prahutama Aldila Abid Awali Alfahari Anggoro, Alfahari Alinda Allima Stefiana Insani Ambariyani Ambariyani, Ambariyani Angga Saputra Anggita Puri Savitri Anggraeni, Devina Nurul Anggraeni, Nadiya Anggraini Susanti Kusumawardani Ani Mardiantari Ani, Adesi Rizki Indri Anik Djuraidah Anindya Aryu Inayati Anjas, Muhammad Annikmah Farida Annikmah Farida, Annikmah Annisa Nur Fathia Anton Suhartono Anwar, M. Syaiful Aprilia, Fadillah Apriliani, Afmi Arif Kurnia Wijayanto Aripin, Khairul Arsyad, Mufid Asep Mulyana Asep Mulyana Asep Yoyo Wardaya Asmuni Hayat Aulia Ikhsan Aziz, Hilmy Azzahra Nur Safitri Betha Noranita Bhinekawati, Henny Budi Warsito Bunyamin Chrysmandini Pulung Gumauti, Chrysmandini Pulung Chyntia Arum Widyastusti Cinta, Nur Cuhandi Danil, Mahmud Daniyati, Dian Dedy Douglas Harianja Devy, Happy Sista Diah Safitri Diah Safitri Dian Daniyati Dian E Idris Gentini Dina Rosmalia Listya Utami Dwi Ispriyanti Ebeit Devita Simatupang Eka Nurzannah Eko Adi Sarwoko Eko Adyan Sukanianto Elvia Ivada Erfan Sofha Esti Zaduqisti Esti Zaduqisti Eti karini Fajar Heru Setiawan Fajar, Malik FANDI AHMAD Farda Nur Sa'adah Farhati, Muthia Zahra Farida, Annikamah Fatima, Suwanto Fauzi, Kiki Rizki Fikri, Aan Maudlihul Firda Megawati Fitri, Rina Nuzulia Fitria Aprilia Suherman Fitrian Fariz Ichsandi Fitta Setiajiati Gamal Abdel Nasser Masikki Gotfridus Goris Seran Habib Ismail, Habib Hafii Risalam Hanien Nia H Shega Hasbi Yasin Hasbi Yasin Herliansyah, Muhammad Rudy Ika Sartika Ika Trisnawati A Ikha Rizky Ramadani Ikhwanudin Illahi, Muhammad Jaya Indrayati Galugu Indria Tsani Hazhiah Indriani, Agustina Irhamuddin Istiroha Ita Dwilestari Iwannudin Jamilah Jamilah Levina, Geralda Lies Kurnia Irwanti Lina Karlinasari M. Muslih M. Muslih Husein M.Pd S.T. S.Pd. I Gde Wawan Sudatha . Madani, Hilmi Naufal Maharani Febriana Putri Marthin Nosry Mooy Maruapey, Muhamad Husein Maslachah, Maslachah Mega Susilowati Melati Puspa Nur Fadlilah Moch. Abdul Mukid Moch. Abdul Mukid Mohammad Yahya Mono Pratiko Gustomi Muchammad Aziz Chusen Muhammad Abid Muhyidin Muhammad Andi Septiadi Muhammad Hilman Rizki Abdullah Muhammad Husein Maruapey Muhammad Luthfie Muhammad Rendi Ramdhani Muhammad Yusuf Muhimmi, Aliyatul Mumaiyizah, Mumaiyizah Mustafid Mustafid Mustafid Mustafid Mustopa, Eliza Nur Fauziah Mutiara Ardin Rifkiani Nabila, Eva Salsa Nabilah, Siti Nafidhatul Firda Eka Syahfitri Nariswari Diwangkari, Nariswari Niken Anggraini Dewi Noor Fitri Novian Trianggara Novie Eriska Aritonang Nugraha, Rayhan Cahya Nur Alfi Khotamin Nur Alfi Khotamin, Nur Alfi Nurhikmah Megawati Nuril Faiz Nurohmah, Siti NurRizki, Muhammad NURUL QOMARIYAH Nurul Ramadhany Nurwijayanti Octafinnanda Ummu Fairuzdhiya Onny Kartika Hitasari Oom Komala Pagiling, luther Pratama Ganang Widayaka Pratiko, Mono Puji Retnowati Purnama, Maulana Hasyim Purnamasari, Irma Purwo Jatmiko Putri, Listya Eka Rachmawati, Siti Hesti Rahayu Ningtyas Rahman, Muhammad Faizal Rezza Rahmawati, Rizky Devi Rakhmat, Rakhmat Ramdani, Faisal Tri Riana Ikadianti Rifana, Haikal Zaky Rifki Adi Pamungkas, Rifki Adi Rindayati, Rindayati Rini, Etika Risqi, Muhammad Riyan Eko Putri Rizki Taher Dwi Kurniawati Rizqi Izrul Alamsyah Robertus Heri Sulistyo Utomo Roestamy, Martin Ronny Gusnadi Rosyadi, Hanang Rosyidah, Haniatur Rudi Santoso Rukun Santoso Rumuzi, Moh. Rustandi, Resyiana Saffira Rutinaias Haholongan Sabella, Shalsa Putri Sabhariyah, Riesmiati Samantha, Kenia Santoso, Haris Saprudin Saprudin, Saprudin Sastrawan, Berry Satriawan, Handi Seftina, Any Shifa Seta Satria Utama Shinta Dewi Rismawati Sirojuddin, Wawan SISWOYO Siti Nur Qomariah Sri Wijayanti Sri Wijayanti St.Nawal Jaya Suarman, Agus Sudarno Sudarno Sugito - Sugito Sugito Sugiyanto - Sukanianto, Eko Adyan Sukarelawati Sukarelawati Sultoni, Muhammad Rafli Suparti Suparti Susanti, Mey Syah, Hengky Firman Syahfitri, Nafidhatul Firda Eka Syeh Sarip Hadaiyatullah Tarno Tarno Tarno Tarno Tatik Widiharih Tatik Widiharih Thoha, Silvia Milady Azkiya Tri W., Vian Sigit Triana Sofiani Triana Sofiani Trianah Shofiani Triastuti Wuryandari Trisnawati A, Ika Ula, Fashihatul Ulfah Juniarti Siregar umah, khoiroh Umam, Misbahul Fuadil Umar A. J, Sabrina Mubarak USWATUN HASANAH Vica Nurani Wati, Eka Masitho Wilis Ardiana Pradana Yuanita Syaiful Yuciana Wilandari Yuciana Wilandari Yulianita . Yunisa Ratna Resti Yunita, Norma Zahroh, Roihatul Zulfa, Iin Dana