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Jurnal Statistika Universitas Muhammadiyah Semarang

statistik
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Published by Universitas Muhammadiyah Semarang

ISSN : 23383216 EISSN : 25281070 DOI : -

Core Subject : Science,

Decision Sciences, Operations Research & Management

Focus and Scope a. Statistika Teori, Statistika Komputasi, Statistika terapan b. Matematika Teori dan Aplikasi c. Design of Experiment

Arjuna Subject : Matematika - Pemodelan dan Simulasi

Articles 9 Documents

Search results for , issue "Vol 8, No 1 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang" : 9 Documents clear

PEMODELAN DERET WAKTU POINT LIGA ITALIA SERIE A DENGAN PENDEKATAN REGRESI BERDASARKAN RMSE (ROOT MEAN SQUARE SCORE) TERKECIL DAN SKOR MAKSIMAL TIAP PEKAN Nanda Noor Fadjrin; Agung Wibawa
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 1 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Covid 19 membuat penundaan jadwal Liga Italia Serie A selama hampir 2 bulan. Deret waktu digunakan untuk mempediksi suatu kasus musiman yang dapat juga diterapkan pada hasil pertandingan sepak bola. Hasil pertandingan sepakbola dalam hal ini untuk memprediksi poin akhir, jumlah memasukan dan kemasukan goal tiap tim Serie A. Deret waktu yang digunakan jenis trend menggunakan tiga model yaitu regresi linier, eksponensial dan berpangkat. Dari ketiga model dipilih model terbaik berdasarkan RMSE (Root Mean Square Score) dan tinjauan poin maksimal, rata-rata memasukan kemasukan goal tim-tim Serie A. Penelitian memprediksi Lazio menjadi juara, Atalanta memiliki jumlah memsukan goal terbanyak dan Genoa tim dengan jumlah kebobolan terbanyak.

PREDIKSI KECEPATAN ANGIN DALAM MENDETEKSI GELOMBANG AIR LAUT TERHADAP SKALA BEAUFORT DENGAN METODE HYBRID ARIMA-ANN (Studi Kasus: Kabupaten Lombok Barat 2019) Virgania Sari; Dyah Ayu Maulidany
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 1 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Indonesia merupakan negara kepulauan maritim banyak pulau-pulau dengan berbagaikarakteristik yang ada di Indonesia. Salah satu pulau yang memiliki posisi geografisyang cukup menguntungkan dengan potensi daerah tujuan wisata dan jalur perhubunganlaut nasional maupun international yaitu Pulau Lombok yang bertepatan di ProvinsiNusa Tenggara Barat (NTB). Dari sekian kabupaten di Provinsi NTB ada salah satukabupaten yang memiliki keunggulan pada pembangunan daerah dari berbagai aspekseperti pariwisata, pelabuhan penyebrangan vital penghubung Pulau Bali dan PulauLombok yaitu Kabupaten Lombok Barat. Sebagai wilayah yang berbatasan langsungdengan lautan, wilayah Kabupaten Lombok Barat cukup kaya dengan produk perikananlautnya. Adapun beberapa faktor alam yang menjadi penyebab kekhawatiran bagi paranelayan maupun pelaut yaitu angin yang mempengaruhi tinggi nya gelombang laut.Dalam menyelesaikan permasalahan meramalkan rata-rata kecepatan angin diKabupaten Lombok Barat untuk yang akan datang, dilakukan menggunakan metode,yaitu hybrid Autoregeressive Integrated Moving Average-Artificial Neural Network(ARIMA-ANN). Dimana hasil peramalan dapat dijadikan acuan untuk untuk mencegahdampak negatif dari angin dan mengoptimasikan peranan positif angin dalam kehidupansehari-hari manusia. Model yang digunakan untuk meramalkan rata-rata kecepatanangin pada penelitian ini memiliki nilai MSE training dan testing terkecil sebesar0.000061 dan 0.0657. Hal tersebut menunjukkan bahwa model yang dihasilkanmemiliki hasil permalan yang sangat baik.

HYBRID METODE BOOSTRAP DAN TEKNIK IMPUTASI PADA METODE C4-5 UNTUK PREDIKSI PENYAKIT GINJAL KRONIS Ahmad Ilham
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 1 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Missing values is a serious problem that most often found in real data today. The C4.5 method is a popular classification predictive modeling used because of its ease of implementation. However, C4.5 is still weak when testing data that contains large missing. In this study we used a hybrid approach the bootstrap method and k-NN imputation to overcome missing values. The proposed method tested using Chronic Kidney Disease (CKD) data, and evaluated using accuracy and AUC. The results showed that the proposed method was superior in overcoming missing values in CKD. It can be concluded that the proposed method is able to overcome missing values for chronic kidney disease prediction.

ANALISIS SITUASI PEMBANGUNAN MANUSIA JAWA TENGAH DI JAWA TENGAH Laeli Sugiyono
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 1 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

This study aims to analyze the disclosure of the distribution of the position of Regency / City in Central Java based on the Linkage of Economic Growth (EG) and Human Development Index (HDI). The study uses secondary data in the form of cross-sectional regional Regency / City based on EG and HDI Components. Data analysis uses Regency / City distribution plot diagram based on EG and HDI components in the Cartesian diagram which divides the space into 4 quadrants, namely: Awareness I of the City Regency Distribution Plots with high EG and HDI Categories, Quadrant II City Regency Distribution Plots with High HDI Categories, Low EG, Quadrant III HDI Low, High EG, and Quadrant IV Low HDI and EG Categories. This study concludes that the position of Cities in Central Java in general is in line with the Quadrant I group, the HDI of Kota Regency in the area of the ex-Semarang residency and the former residence of Surakarta is in Quadrant I. Whereas other City Regencies are spread in Quadrant II, III, and IV.

PENERAPAN METODE FUZZY WEIGHTED PRODUCT (WP) DENGAN PEMBOBOTAN ENTROPY Dwi Ispriyanti; Azizah Mulia Mawarni; Alan Prahutama; Tarno Tarno
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 1 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

The government, through the Directorate General of Higher Education, Ministry of National Education seeks to allocate funds to provide scholarships to students who are economically unable to finance their education, and provide scholarships to students who have achievements. The provision of learning assistance in the form of scholarships was given to students in various universities including Diponegoro University. Scholarships awarded include Academic Achievement Achievement scholarships (PPAs) awarded to outstanding students and scholarships Student Learning Assistance (BBM) given to underprivileged students. In recruiting prospective PPA scholarship recipients, the selection committee applies several assessment criteria. The required assessment criteria are the GPA value, the parent's income, the championship achievement, the semester, the number of dependents, and the electric power. The PPA scholarship selection system has not been effective even though it has been with the help of a computer. So there is a need for decision-making methods in assisting selection. The method applied in selecting scholarship recipients is WP, with Entropy weighting method. Previously, the criteria value was changed to fuzzy numbers. Fuzzy Weighted Product (WP) method successfully selected PPA scholarship recipients with optimal results to help screening committee.

ANALISIS STATISTIKA TERHADAP PERUBAHAN STRUKTUR SOSIAL, EKONOMI, DAN PERTANIAN DALAM MENGUBAH PERTUMBUHAN DAN PEMBANGUNAN PROVINSI JAWA TIMUR Sulistya Umie Ruhmana Sari
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 1 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Pertumbuhan dan pembangunan Provinsi Jawa Timur diukur melalui perubahan struktur sosial, ekonomi dan pertanian. Penelitian ini menggunakan empat sektor utama dengan total sebanyak 61 variabel dengan menggunakan data pada tahun 2016 hingga 2018. Perubahan struktur melibatkan kondisi perubahan kabupaten/kota di Jawa Timur. Beberapa kabupaten/kota memiliki karakteristik sama dan berbeda-beda. Perubahan struktur dapat diketahui dengan melakukan pengelompokan (cluster) kabupaten/kota untuk melihat potensi dan perubahan berdasarkan variabel yang paling dominan yang diperoleh dari analisis faktor. Hasil analisis menunjukkan bahwa telah terjadi penurunan distribusi produk domestik Bruto sektor pertanian dari 42,90% (Th.2014) turun menjadi 15,42% (Th. 2018). Penurunan dipicu oleh naiknya sektor industri dari 11,70% (Th.2012) naik menjadi 27,11% (Th. 2018) dan naiknya sektor perdagangan dari 20,70% (Th.2014) menjadi 30,40% (Th.2018). Sektor pendidikan merupakan sektor yang mendominasi pada tahun 2016 dengan variabilitas sebesar 37,465%. Sektor keuangan, industri dan perdagangan merupakan sektor yang mendominasi pada tahun 2017 dengan variabilitas sebesar 37,433% dan pada tahun 2018 dengan variabilitas sebesar 41,661%.

KAJIAN REGRESI PROPORSIONAL HAZARD UNTUK MENENTUKAN FAKTOR PENYEBAB STROKE MENGGUNAKAN METODE EFRON Sudarno Sudarno; Tiani Wahyu Utami
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 1 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Cox proportional hazard regression is a regression model that is often used in survival analysis. Survival analysis is phrase used to describe analysis of data in the form of times from a well-defined time origin until occurrence of some particular be death. In analysis survival sometimes find ties, namely there are two or more individual that have together event. The objectives of this research are applied Cox proportional hazard regression on ties event by Efron method and determine factors that affect survival of stroke patients in Tugurejo Hospital Semarang. The response variable is length of stay at hospital, and the predictors are gender, age, type of stroke, history of hypertension, systolic blood pressure, diastolic blood pressure, blood sugar levels, and body mass index. The factors cause stroke disease by significant are type of stroke, history of hypertension, systolic blood pressure, diastolic blood pressure, and blood sugar level. By the survivorship function that the patients have been looked after at hospital greater than 20 days, they have probability of healthy be little even go to death. A person in order to be healthy must be healthy life, and prevent some factors cause disease. Healthy life can be reach by no smoking, sport and rest enough.

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI PROVINSI BANTEN MENGGUNAKAN REGRESI LINIER DAN GEOGRAPHICALLY WEIGHTED REGRESSION Arief Rachman Hakim
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 1 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Economic growth in a particular area can be measured by the amount of Gross Regional Domestic Product (GRDP). Looking at the geographical location, Banten province is an area directly adjacent to Jakarta where there are many industrial sectors and there are activities in the Sunda Strait port, which is the mainland entrance between the islands of Java and Sumatra, causing economic activity to grow quite well in Banten Province. According to BPS data, economic growth in Banten Province rose by 5.59%. The increase also supports by several sectors there are agriculture, industry business and several other sectors. Linear regression method is a method commonly used to model the correlation of predictor variables and response variables. The weakness of this method is that the model produced is only one and global variable. Geographically Weighted Regression (GWR) is the development of location-weighted linear regression (spatial) based on regional characteristics so that the parameters and variables that influence will also be different for each location. The best model selected by the largest R square (R2) criterion and the smallest Akaike Information Criteria (AIC) value. The AIC value of the Linear Regression model is 47,094 and the AIC GWR value is 54,024, also the R2 GWR is 0.953 while the linear regression R2 is 0.87.

ANALISIS ANTREAN DAN KINERJA SISTEM PELAYANAN GARDU TOL OTOMATIS GERBANG TOL MUKTIHARJO Erna Fransisca Angela Sihotang; Sugito Sugito; Moch. Abdul Mukid; Alan Prahutama
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 8, No 1 (2020): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Queue process is a process related to the arrival of customers in a service facility, waiting in line queue if it cannot be served, get service and finally leaves the facility after being served. Research on the queue process can be seen directly through the queue system at the automatic toll booth Muktiharjo. Queue models and their distribution were obtained using the Sigma Magic program. The model of the vehicle queue system at the Muktiharjo Automatic Toll Gate is (GAMM/ GAMM/ 4): (GD/ ∞/ ∞). Based on the values of the queue system performance measures obtained through the MATLAB GUI program as a whole it can be concluded that the queue of vehicles at the Muktiharjo Automatic Toll Gate has a condition where the average number of vehicles estimated in the system every 15 minutes is 25,5646 vehicles. The average number of vehicles in the queue system every 15 minutes is 24,5639 vehicles. The waiting time in the system is estimated to be around 7,99332 seconds. The estimated waiting time in line is around 7,68042 seconds. The queue system has a busy opportunity of 63.2849% and the remaining 36.7106% is a chance the queue system is not busy. The simulation of the vehicle queue system at the Automatic Toll Gate of Muktiharjo Toll Gate by using ARENA is optimal with the number of service points as many as 4 automatic toll booths.

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Tiani Wahyu Utami

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Sekretariat Jurnal Statistika Universitas Muhammadiyah Semarang Program Studi Statistika FMIPA Universitas Muhammadiyah Semarang

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Kota semarang,

Jawa tengah

INDONESIA

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Tiani Wahyu Utami

Contact Email jurnalstatistik@unimus.ac.id

Phone +6285235004282

Journal Mail Official jurnalstatistik@unimus.ac.id

Editorial Address Sekretariat Jurnal Statistika Universitas Muhammadiyah Semarang Program Studi Statistika FMIPA Universitas Muhammadiyah Semarang

Location Kota semarang, Jawa tengah INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Tiani Wahyu Utami

Contact Email
jurnalstatistik@unimus.ac.id

Phone
+6285235004282

Journal Mail Official
jurnalstatistik@unimus.ac.id

Editorial Address
Sekretariat Jurnal Statistika Universitas Muhammadiyah Semarang Program Studi Statistika FMIPA Universitas Muhammadiyah Semarang

Location
Kota semarang,

Jawa tengah

INDONESIA