Moch. Abdul Mukid
Universitas Diponegoro

Published : 115 Documents
Articles

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

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Abstract

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
SIMULASI STOKASTIK MENGGUNAKAN ALGORITMA GIBBS SAMPLING Anifa, Anifa; Mukid, Moch. Abdul; Rusgiyono, Agus
Jurnal Gaussian Vol 1, No 1 (2012): Wisuda Periode Oktober 2012
Publisher : Jurusan Statistika UNDIP

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Abstract

One way to get a random sample is using simulation. Simulation can be done directly or indirectly. Markov Chain Monte Carlo (MCMC) is an indirectly simulation method. MCMC method has some algorithms. In this thesis only discussed about Gibbs Sampling algorithm. Gibbs Sampling is introduced by Geman and Geman at 1984. This algorithm can be used if the conditional distribution of the target distribution is known. It has applied on two casses, these are generation of bivariate normal random data and parameters estimation using Bayesian method. The data used in this research are the death of pulmonary tuberculosis in ASEAN in 2007. The results obtained are  and with standard error for  and .
PEMETAAN PERSEPSI MERK LAPTOP DI KALANGAN MAHASISWA MENGGUNAKAN ANALISIS KORESPONDENSI BERGANDA (Studi kasus: Mahasiswa Universitas Diponegoro Semarang) Pangastuti, Anissa; Mukid, Moch. Abdul; Sudarno, Sudarno
Jurnal Gaussian Vol 2, No 3 (2013): Wisuda Periode Agustus 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

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
KUALITAS PELAYANAN PADA BANK JAWA TENGAH (Studi Kasus : Bank Jateng Cabang Tembalang) Monica, Yosi Dhyas; Hoyyi, Abdul; Mukid, Moch. Abdul
Jurnal Gaussian Vol 2, No 4 (2013): Wisuda Periode Oktober 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

Service attendance quality is superiority level which is be expected and control above its superiority level for satisfying consumen´s desire. In this case, there are 5 service quality dimensions. Those are tangible, reliability, responsiveness, assurance, and emphaty. This research study was doing at Bank Jateng, where the respondents are the customer of Bank Jateng. Importance Performance Analysis consist of two components, there are quadrant analysis and discrepancy analysis (gap). Quadran analysis can find out the respond of cusumens against variable which has plotted based on interest and performance level from those variables. While gap analysis is being used for perceiving discrepancy between performance of a variable with the expectation from consumen against its variable. Customer Satisfaction Index (CSI) is used for discovering overall satisfaction level of customers. The T2 hotelling control chart is to know the qualiy controlof two or more related quality characteristics. Result of the research is showing that for quadran analysis, those variables which representing 5 service quality dimensions be located spread in different quadran. For gap analysis, the service perormance of a bank represented by 20 variables who representing 5 service quality dimensions, all of which is still under customers expectation. CSI value aa big as 72,22% which is mean customers satisfaction index is on the satisfaction criteria. On T Hotelling chart is said that the process is not restrained statistically yet because there are 4 points is on the top of control chart
RANCANGAN D-OPTIMAL UNTUK REGRESI POLINOMIAL DERAJAT 3 DENGAN HETEROSKEDASTISITAS Budhianti, Naomi Rahma; Widiharih, Tatik; Mukid, Moch. Abdul
Jurnal Gaussian Vol 2, No 2 (2013): Wisuda Periode April 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

Suatu model hubungan antara variabel prediktor X dan variabel respon Y, dalam hal ini adalah model regresi polinomial derajat 3 dengan heteroskedastisitas yang mempunyai fungsi bobot .  Permasalahan yang muncul adalah bagaimana memilih titik-titik rancangan X yang akan dicobakan sehingga model menjadi signifikan. Rancangan D-Optimal adalah rancangan dengan kriteria keoptimalan meminimumkan variansi estimator parameter. Jika variansi estimator parameter minimum maka diharapkan parameter dalam model menjadi signifikan sehingga model juga signifikan. Kriteria rancangan D-Optimal didapatkan dengan memaksimumkan determinan matriks informasi atau meminimumkan determinan invers matriks informasi. 
PEMBANGKITAN SAMPEL RANDOM MENGGUNAKAN ALGORITMA METROPOLIS-HASTINGS Irwanti, Lies Kurnia; Mukid, Moch. Abdul; Rahmawati, Rita
Jurnal Gaussian Vol 1, No 1 (2012): Wisuda Periode Oktober 2012
Publisher : Jurusan Statistika UNDIP

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Abstract

Generating random samples can be done directly and indirectly using simulation techniques. This final project will discuss the process of generating random samples and estimate the parameters using an indirect simulation. Indirect simulation techniques used if the target distribution has a complicated shape and high dimension of density functions. Markov Chain Monte Carlo (MCMC) simulation is a solution to do it. One of the algorithms that is commonly used is Metropolis-Hastings. This algorithm uses the mechanism of acceptance and rejection to generate a sequence of random samples. In the example to be discussed, Metropolis-Hastings algorithm is applied to generate random samples of Beta distribution and also estimate the parameter value of the Poisson distribution using a proposal distribution random-walk Metropolis.
ANALISIS PREFERENSI KONSUMEN TERHADAP PRODUK SUSU BERBASIS ANALISIS CONJOINT MENGGUNAKAN METODE PRESENTASI PAIRWISE-COMPARISON (Studi kasus di Beberapa SMP di Kecamatan Banyumanik Kota Semarang) Resmawati, Trianita; Mukid, Moch. Abdul; Safitri, Diah
Jurnal Gaussian Vol 2, No 4 (2013): Wisuda Periode Oktober 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

In this study aims to help producer or milk companies to know and understand consumer preferences for attributes combination of milk products specifically for adolescent. The method used in this study is the conjoint analysis using pairwise-comparison as a method of presentation. In this research, the attributes that used are the type of milk, flavor, packaging, and fat content. The result of this reserach shows that the packaging is the most important attribute between the other attributes with a relative importance value of 56.13%. The second most importance attribute is flavor of milk with a relative importance value of 38.55%. Fat content was ranked in the third place with a relative importance value of 4.28%, and the type of milk as the fourth attribute with a relative importance value of 1.05%. In addition, the stimuli is desired by consumers for milk products specifically for adolescent are condensed milk, chocolate, canned, and non fat.
ANALISIS EKUITAS MEREK SEPEDA MOTOR HONDA TERHADAP KEPUTUSAN PEMBELIAN DAN PERILAKU PASCA BELI MENGGUNAKAN STRUCTURAL EQUATION MODELLING (SEM) Putranto, Herwindhito Dwi; Hoyyi, Abdul; Mukid, Moch. Abdul
Jurnal Gaussian Vol 2, No 1 (2013): Wisuda Periode Januari 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

Research on the implementation of Structural Equation Modelingto analyze the Honda brand equityon purchase decision and post-purchase behavior is based on the strength of the brand equityas a market leader Honda motorcycles in Indonesia for many years. The problem saddressed in this study is how the relationship between brand equity Honda motorcycle on purchase decision and post purchase behavior of consumers. In this study developed six variables consisting of 4 exogenous variables, namely brand awareness, brand response, the impression of quality and product loyalty, to measure brand equityas well as two endogenous variables, ie, purchase decision and post-purchase behavior. The study involved 200 students of the University of Diponegoro as respondents using purposive sampling technique.Structura lequation modeling research is Behavioral Post Buy=Purchasing Decisions + error. From the Goodness of Fittest results, structural equation modelin this study can be used with a value of 70,237 and the Chi-Square probability AGF I1000 and 0951. Brand awareness of 10.1% influence on purchasing decisions and 10% of the post-purchase behavior and is avariable that gives the effect of CR 1477-value ≤2.58. Responses highest brandin fluenceis equal to 32.7% against 32.4% purchase decision and post-purchase behavior. Thusit was concluded that brand awareness does not affect the purchase decision, while there sponse the brand, the impression of quality and product loyalty influence purchasing decisions. Purchasing decisions also provide a positive influence on post-purchase decisions.
SEGMENTASI PASAR PADA PUSAT PERBELANJAAN MENGGUNAKAN FUZZY C-MEANS (STUDI KASUS: RITA PASARAYA CILACAP) Megawati, Nurhikmah; Mukid, Moch. Abdul; Rahmawati, Rita
Jurnal Gaussian Vol 2, No 4 (2013): Wisuda Periode Oktober 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

RITA Pasaraya Cilacap is the first supermarket in Cilacap. Previously, RITA Pasaraya become a shopping center for all people in Cilacap. Now, more and more supermarket is standing. To find this target, RITA Pasaraya needs grouping or market segmentation. Grouping method used  fuzzy cluster means (FCM). For an optimal cluster number using the accuracy of the measurement criteria is Xie Beni Index. Research data obtained by questionnaire on RITA Pasaraya Cilacap with 10 psikografik variables. Results of the research, consumer segmentation more accurate if grouped into 2 clusters. The final result is respondents in cluster 1 more attention to low price levels, complete goods, big discounts, satisfactory service, strategic location, roomy parking, comfortable for shopping, adequate public facilities, complete payment facilities, and cleaner room than to respondents in cluster 2. Basically, similar profiles cluster in cluster 1 and cluster 2. Mainly RITA Cilacap Supermarkets are women, with the range age of 16-29 years, with a frequency of shopping 2-4 times per month. Only last education and income are different. In cluster 1, dominated b senior high school with income of 2-5 million every month,  and in  cluster 2 dominated by  bachelor with income <2 million every month.
PERBANDINGAN ANALISIS DISKRIMINAN LINIER KLASIK DAN ANALISIS DISKRIMINAN LINIER ROBUST UNTUK PENGKLASIFIKASIAN KESEJAHTERAAN MASYARAKAT KABUPATEN/KOTA DI JAWA TENGAH Kartikawati, Ana; Mukid, Moch. Abdul; Ispriyanti, Dwi
Jurnal Gaussian Vol 2, No 3 (2013): Wisuda Periode Agustus 2013
Publisher : Jurusan Statistika UNDIP

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Abstract

Discriminant analysis is a statistics method which is used to classify an individual or object into certain group which has determined based on its independent variables. Discriminant analysis that commonly used is classical discriminant analysis which consist of classical linear discriminant analysis and classical quadratic discriminant analysis. In classical linear discriminant analysis there are two assumptions to be fulfilled i.e. independent variables have to be normal multivariate distributed and the covariance matrix from the two observed objects should be the same. Classical discriminant analysis cannot work properly if the data which being analyzed consists of many outliers. In order to make discriminant analysis works optimally within the classification though in the condition of data which contains of many outliers, robust estimator is needed. The robust discriminant analysis is used to get the high classification accuracy for data which contains of many outliers. Fast-MCD estimator is one of the robust estimators which is aimed to get the smallest determinant of covariance matrices. The robust linear discriminant analysis with fast-MCD method in this graduating paper is implemented to determine the prosperity status of the people in the regencies or towns in Central Java. The total proportion of classification accuracy using robust linear discriminant analysis method on the data of Central Java people prosperity is 77.14 percent. It is equal with the result from classic linear discriminant analysis which is also 77.14 percent. It is caused by the few amount of outlier on the data of Central Java people prosperity.
Co-Authors Abdul Hoyyi Agung Waluyo Agus Rusgiyono Alan Prahutama Alvita Rachma Devi Ana Kartikawati Anastasia Arinda, Anastasia Anifa Anifa Anissa Pangastuti Arief Rachman Hakim Bella Cynthia Devi, Bella Cynthia Bramaditya Swarasmaradhana Budi Warsito Bunga Maharani, Bunga Catra Aditya Wisnu Aji Dani Al Mahkya Dedy Douglas Harianja, Dedy Douglas Desy Ratnaningrum, Desy Desy Trishardiyanti Adiningtyas, Desy Trishardiyanti Diah Safitri Dini Anggreani Dwi Ispriyanti Dwi Rahmayani, Dwi Dyan Anggun Krismala Elyas Darmawan Endah Cahyaningrum, Endah Erna Puspitasari Etik Setyowati, Etik fatimah Fatimah Fatma Septy Deviana Finisa, Husnul Fitra Ramdhani, Fitra Hasbi Yasin Hasibuan, Chainur Arrasyid Herwindhito Dwi Putranto Ilham Muhammad Kiki Febri Azriati Kusumah, Rachmah Dewi Laili Isna Nur Khiqmah, Laili Isna Nur Landong Panahatan Hutahaean Lies Kurnia Irwanti Maharsi, Iantazar Rezqitullah Mardison Purba Marta Widyastuti, Marta Maulida Azkiya, Maulida Muhammad Mujahid Muhammad Rizki Mustafid Mustafid Naomi Rahma Budhianti Niken Anggraini Dewi Novia Agustina, Novia Noviana Nurhayati Nunung Hanurowati, Nunung Nurhikmah Megawati Panji Wisnu Wirawan Restu Sri Rahayu, Restu Sri Rita Rahmawati Riza Adi Priantoro, Riza Adi Shaumal Luqman, Shaumal Sri Wahyuningrum Sudarno Sudarno Sugito Sugito Suparti Suparti Syaifudin Karyadi, Syaifudin Syarah Widyaningtyas, Syarah Tatik Widiharih Trianita Resmawati Triastuti Wuryandari Ungu Siwi Maharunti, Ungu Siwi Utami, Cyntia Surya Wetty Anggun Werti, Wetty Anggun Yosi Dhyas Monica Yuciana Wilandari Yudha Subakti, Yudha Zulfa Wahyu Mardika, Zulfa Wahyu