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All Journal PROSIDING SEMINAR NASIONAL Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang

Moch. Abdul Mukid

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Author-ID : 475550

Decision Sciences, Operations Research & Management Education Other

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PENERAPAN LEARNING MANAGEMENT SYSTEM (LMS) PADA SEKOLAH MENENGAH PERTAMA DAN SEKOLAH MENENGAH ATAS Panji Wisnu Wirawan; Moch. Abdul Mukid
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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Learning Management System (LMS) is a software package which providesvirtual classes for both teacher and student. LMS can be deployed to localschool networks and can be installed on the school's website. Hence it is easierfor students and teachers in Junior and Senior High School to access learningmaterials. Junior High School and Senior High Schools have many classes andeach class has many subjects in each academic year. To apply the learningsupported by the LMS, a good understanding of LMS features is required, sothat LMS can be used to support many of the classes and subjects. This studyproposes an LMS implementation scheme in Junior High School and SeniorHigh School so that LMS can support many classes and subjects. Specifically,Moodle was selected as LMS product in this study. Firstly, we identify howclass was organized in both junior and senior high school. We continued withidentification moodle features that could support multi class organization. Theresult of this study was a scheme of how Moodle can be implemented to supportmulti class organization in junior and senior high school. Keywords: Learning Management System (LMS), Moodle, multi class organization

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.

ANALISIS KLASIFIKASI CREDIT SCORING MENGGUNAKAN WEIGHTED PROBABILISTIC NEURAL NETWORK (WPNN) Arief Rachman Hakim; Moch. Abdul Mukid; Hasbi Yasin; Sugito Sugito
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 7, No 1 (2019): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Credit Scoring merupakan salah satu metode yang digunakan untuk menilai kelayakan dan memprediksi lebih awal adanya potensi kredit macet dari calon nasabah kredit. Dalam analisis kasifikasi Credit Scoring dapat menggunakan Weighted Probabilistic Neural Network (WPNN). Neural Network (NN) dikembangkan sebagai model matematika dengan prinsip kerja yang menyerupai pola pikir atau jaringan syaraf pada mahluk hidup. WPNN merupakan pengembangan daripada metode PNN dengan menambahkan faktor pembobot antara pattern layer dan summation layer. Metode ini memiliki kelebihan dalam mengatasi permasalahan yang terdapat pada Back-Propagation (BP) yaitu dapat mengatasi waktu pelatihan (training) yang lama, terjebak pada global minimum, serta sulitnya perancangan arsitektur jaringan. Pemilihan Klasifikasi dilakukan dengan melihat nilai Apparent Error Rate (APER) yang terkecil, yang dibagi kedalam nilai APER untuk Training dan Testing. Nilai APER training sebesar 0.0003 dan testing sebesar 0.0395 yang merupakan nilai APER terkecil, maka bobot yang terpilih dengan nilai bobot atau spread sebesar 0.8.

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA KEMATIAN BAYI DI JAWA TENGAH MENGGUNAKAN REGRESI GENERALIZED POISSON DAN BINOMIAL NEGATIF Alan Prahutama; Sudarno Sudarno; Suparti Suparti; Moch. Abdul Mukid
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 5, No 2 (2017): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Angka Kematian Bayi (AKB) adalah banyaknya kematian bayi berusia dibawah satutahun, per 1000 kelahiran hidup pada satu tahun tertentu. Banyak faktor-faktor yangmempengaruhi angka kematian bayi antara lain karakteristik orang tua dam faktorlingkungan. Pada penelitian ini mengkaji faktor-faktor lingkungan yang mempengaruhiangka kematian bayi. Metode yang digunakan adalah pemodelan regresi poisson,generalized poisson dan binomial negatif. Regresi generalized poisson dan binomialnegatif digunakan untuk mengatasi overdispesi dalam regresi Poisson. Pada pemodelan AKB dengan regresi poisson terjadi overdispersi sebesar 15.919. Variabel yang signifikan untuk pemodelan AKB menggunakan ketiga metode antara lain jumlah sarana kesehatan (RS dan Puskesmas) (X1); prosentase berperilaku hidup bersih dan sehat (X6); rata-rata lama pemberian ASI (X9). Model terbaik adalah binomial negatif dengan nilai AIC sebesar 375.7. Kata kunci: Angka Kematian Bayi, Regresi Poisson, Generalized Poisson, BinomialNegatif

ANALISIS PELAYANAN SERVIS DI BENGKEL NASMOCO CABANG SOLO BARU DENGAN METODE ANTRIAN Fatma Septy Deviana; Sugito Sugito; Moch. Abdul Mukid
Jurnal Gaussian Vol 3, No 4 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

World automotive in Indonesia has grown and has a very tight competition. As a company that is in the automotive world and is one of sole agent Toyota in Indonesia to Central Java and Yogyakarta, Nasmoco Solo Baru branch have service and parts facility. As a service provider, Nasmoco Solo Baru branch seeks to serve customers well according to the arrival rate of each customer. Thus, the need to know the measure of system performance on each part on the system service advisor. Queuing system at Nasmoco Solo Baru contained in the Registration Service, Service Parts, and the Cashier Section. Based on the results obtained and the analysis of queuing models are on the Registration Service (M/G/7): (GD/∞/∞) for Monday-Saturday with the booking system and (G/G/7): (GD/∞/∞) for non-booking system, while on Sunday/Holiday booking system model is obtained (M/M/2): (GD/∞/∞) and (M/G/2): (GD/∞/∞) to non-booking system. The model obtained in the service for Monday-Saturday with the booking system and non-booking is (M/G/17): (GD /∞/∞), while on Sunday/Holiday booking system obtained with the model (M/G/9): (GD/∞/ ∞) and (M/M/9): (GD/∞/∞) to the non-booking system. At the cashier queue model for a Monday-Saturday have the same model with a Sunday/Holiday is (M/G/9): (GD/∞/∞). Keywords: Queuing Systems, Nasmoco Solo Baru Branch, Registration Services, Service Parts, Cashier Section.

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

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

KLASIFIKASI DIAGNOSA PENYAKIT DEMAM BERDARAH DENGUE (DBD) MENGGUNAKAN SUPPORT VECTOR MACHINE (SVM) BERBASIS GUI MATLAB Chainur Arrasyid Hasibuan; Moch. Abdul Mukid; Alan Prahutama
Jurnal Gaussian Vol 6, No 2 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Dengue Hemorrhagic Fever (DHF) is a disease caused by the bite of infected Aedes mosquito by one of the four types of dengue virus with clinical manifestations of fever, muscle aches or joint pain which followed by leukopenia, rash, thrombocytopenia and hemorrhagic diathesis. There are six criteria for determining and catagorizing a positive or negative dengue patients, the variable gender of the patient, the patient's age, the increase in hemoglobin (Hb), increased hematocrit (Hct), the level of platelet and leukocyte levels.Based on these criteria, data of positive and negative catagorized patient will be classified by Support Vector Machine (SVM) using Matlab software. The concept of classification with SVM define as a search for the best hyperplane which serves as a divider of two classes of data in the input space. Kernel function is used to convert the data into a higher dimensional space to allow separation. In order to determine the best parameters of kernel function, hold-out method is used. In the classification by SVM method, 96.4286% obtained as the best accuracy value by using polynomial kernel function. Keywords: Dengue Hemorrhagic Fever (DHF), Classification, Support Vector Machine (SVM), hold-out, Kernel Function.

ANALISIS INFLASI KOTA SEMARANG MENGGUNAKAN METODE REGRESI NON PARAMETRIK B-SPLINE Alvita Rachma Devi; Moch. Abdul Mukid; Hasbi Yasin
Jurnal Gaussian Vol 3, No 2 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Inflation is an important consideration for investors to invest in an area. An accurate prediction of inflation is required for investors in conducting a careful planning. One of the method to find the predicted value of inflation is by using B-Spline regression, a nonparametric regression which is not depend on certain assumptions, thus providing greater flexibility. The optimal B-Spline models rely on the optimal knots that has a minimum Generalized Cross Validation (GCV). By using Semarang year-on-year inflation data from January 2008 - August 2013, the optimal B-spline models in this study are on the order of 2 ( linear ) with 2 knots, that is 5,99 and 6,09. Prediction of Semarang inflation in 2014 fluctuated around the number five and six and inflation in the end of 2014 is 6,286394%.

PERBANDINGAN ANALISIS KLASIFIKASI NASABAH KREDIT MENGGUNAKAN REGRESI LOGISTIK BINER DAN CART (CLASSIFICATION AND REGRESSION TREES) Agung Waluyo; Moch. Abdul Mukid; Triastuti Wuryandari
Jurnal Gaussian Vol 4, No 2 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Credit is the greatest asset managed by the bank and also the most dominant contributor to the bank's revenue. Debtor to pay credit to the bank may smoothly or jammed. There is a relationship variables that affect a debtor smoothly or jammed in paying credit. This study aims to identify the variables that affect a debtor's credit status. The variables used in this study were gender, education level, occupation, marital status and income. Analytical methods used include Binary Logistic Regression analysis and CART (classification and regression trees). Classification accuracy of the two methods will be compared. Based on the research results of binary logistic regression showed that the variables that affect the debtor's credit status is revenue with 80% classification accuracy. While the results of CART (classification and regression trees) in the form of a decision tree shows the type of work chosen as the root node spliting, with a classification accuracy of 81%. Keywords: credit status, logistic regression, CART

PEMETAAN PERSEPSI MERK LAPTOP DI KALANGAN MAHASISWA MENGGUNAKAN ANALISIS KORESPONDENSI BERGANDA (Studi kasus: Mahasiswa Universitas Diponegoro Semarang) Anissa Pangastuti; Moch. Abdul Mukid; Sudarno Sudarno
Jurnal Gaussian Vol 2, No 3 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The growth of technology makes producer compete creating sophisticated, modern, and practical tools. One of them is competing creating notebook. Some brands that more develop than other brands in the market are Toshiba, Acer, Asus, HP and Dell. This research studies about positioning one brand against other brands in the market and proximity between all brands that affected by some factors. There are, processors, designation notebook for consumer, features, endorsement and guarantee, endurance notebook against damage, and the distant age of notebook consumption when it has damage in hardware for the first time. Because there are so many factors that affecting perceptual mapping and positioning notebook at the market, hence it need to be analyzed using multiple correspondence analysis. Multiple correspondence analysis is an expansion technique from simple correspondence analysis which is a multivariate technique graphically used for exploration data from a multi-way contingency table. The result of this research makes conclusion that there is a similarity between Acer and HP notebook. This statement be marked with proximity of point Acer and HP. It can be seen from the incision magnitude between both of that brands. There are both of them be used for graphic and designing, have the same complete features and for time of damage for the first time that both of that brands experienced are at age > 3 years

Co-Authors Abdul Hoyyi Agus Rusgiyono Alan Prahutama Alvita Rachma Devi Anifa Anifa Anissa Pangastuti Arief Rachman Hakim Bella Cynthia Devi Bramaditya Swarasmaradhana Budi Warsito Bunga Maharani Catra Aditya Wisnu Aji Chainur Arrasyid Hasibuan Cyntia Surya Utami Dedy Douglas Harianja Desy Trishardiyanti Adiningtyas Diah Safitri Dwi Ispriyanti Dyan Anggun Krismala Elyas Darmawan Endah Cahyaningrum Erna Fransisca Angela Sihotang Erna Puspitasari Etik Setyowati Fatma Septy Deviana Fitra Ramdhani Hasbi Yasin Herwindhito Dwi Putranto Iantazar Rezqitullah Maharsi Kiki Febri Azriati Laili Isna Nur Khiqmah Landong Panahatan Hutahaean Mardison Purba Marta Widyastuti Muhammad Rizki Naomi Rahma Budhianti Niken Anggraini Dewi Novia Agustina Nunung Hanurowati Nurhikmah Megawati Panji Wisnu Wirawan Rachmah Dewi Kusumah Restu Sri Rahayu Rita Rahmawati Riza Adi Priantoro Shaumal Luqman Solly Aryza Sudarno Sudarno Sugito Sugito Suparti Suparti Syaifudin Karyadi Syarah Widyaningtyas Tatik Widiharih Trianita Resmawati Triastuti Wuryandari Ungu Siwi Maharunti Yosi Dhyas Monica Yuciana Wilandari

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