Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

9.349

P-Index

This Author published in this journals

All Journal Sodality: Jurnal Sosiologi Pedesaan FORUM STATISTIKA DAN KOMPUTASI Media Statistika Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang I-ECONOMICS: A Research Journal on Islamic Economics Jurnal Pendidikan Islam JURNAL MAHKAMAH Jurnal Kajian Akuntansi SAMARAH: Jurnal Hukum Keluarga dan Hukum Islam JURNAL GOVERNANSI JURNAL KOMUNIKATIO Jurnal Sosial Humaniora Journals of Ners Community JAKP (Jurnal Administrasi dan Kebijakan Publik) FITOFARMAKA: Jurnal Ilmiah Farmasi Jurnal Ekonomi Manajemen Sistem Informasi Iqtishaduna : Jurnal Ilmiah Mahasiswa Hukum Ekonomi Syariah Jurnal Pendidikan Pemuda Nusantara Bulletin of Community Engagement Al-Khidmah Jurnal Pengabdian Masyarakat Jurnal Sylva Lestari Lux Mensana: Journal of Scientific Health Jurnal Ekonomi Syariah dan Hukum Islam Bulletin of Indonesian Islamic Studies Margin : Jurnal Bisnis Islam dan Perbankan Syariah Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Moderasi : Journal of Islamic Studies Jurnal Penelitian Manabia: Journal of Constitutional Law Asian Journal of Law and Humanity el hisbah: Journal of Islamic Economic Law Al-Hukkam : Journal of Islamic Family Law Karimah Tauhid Jurnal Riset Ilmiah Jurnal Intelek Insan Cendikia Jurnal Insan Pengabdian Indonesia Ihsanniat: Jurnal Pengabdian Kepada Masyarakat Kusuma : Jurnal Pengabdian Kepada Masyarakat Journal of Golden Generation Economic Journal of Golden Generation Multidisciplinary Administratie: Jurnal Administrasi Publik

Rita Rahmawati

Unknown Affiliation

Author-ID : 356295

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 196 Documents Claim Missing Document

Claim Missing Document

Articles

4 5 6 7 8

ANALISIS FAKTOR-FAKTOR PRODUKSI PERIKANAN TANGKAP PERAIRAN UMUM DARATAN DI JAWA TENGAH MENGGUNAKAN REGRESI BERGANDA DAN MODEL DURBIN SPASIAL Puji Retnowati; Rita Rahmawati; Agus Rusgiyono
Jurnal Gaussian Vol 6, No 1 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Indonesia’s inland openwater is the second largest in Asia after China. It’s estimated Indonesia’s inland openwater capture fisheries potential reached 3.034.934 tons per year. Central Java is one of the provinces that have great potential in the field of fisheries. In this study will be discussed about the factors suspected to affect inland openwater capture fisheries production. The method used are multiple regression analysis with maximum likelihood estimation and spatial durbin models. Spatial durbin models is the development of linear regression which location factors are also considered. The results of spatial dependences shows there is spatial dependence in the inland openwater capture fisheries production variable, fisheries establishments variables and the number of boats variable. So spatial durbin models can be used for analysis. In spatial durbin models, variables that significantly influence inland openwater capture fisheries production is the number of fishing gear, the number of boats, and the number of fishing trip with coefficient of determination (R2) of 0,9054. While in the multiple regression analysis showed that the only number of fishing trip variable that significantly, where the value of the coefficient of determination (R2) is 0,857. Thus better spatial durbin models used to analyze inland openwater capture fisheries production, in addition more significant variables also have the coefficient of determination (R2) that is greater than the multiple regression analysis.Keywords: inland openwater capture fisheries production, maximum likelihood, spatial durbin model.

ANALISIS KLASTER KECAMATAN DI KABUPATEN SEMARANG BERDASARKAN POTENSI DESA MENGGUNAKAN METODE WARD DAN SINGLE LINKAGE Annisa Nur Fathia; Rita Rahmawati; Tarno Tarno
Jurnal Gaussian Vol 5, No 4 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Physical and non-physical aspects are the ways to explain a diversity among regions, including a diversity among districts. Village potential providing data about the existence, availability and development potential of each administrative area. To know the district that has the same characteristics, do the grouping using cluster analysis. Cluster analysis is a grouping of objects or cases into groups smaller where each group contains objects that are similar to one another. Clustering process is done for 19 districts in Semarang Regency by ward’s method and single linkage. Four cluster are chosen for the process of potential developing more specific in each district. From the analysis using ward’s method, 1st cluster obtained with minimal educational facilities. 2nd cluster with minimal health facilities. 3rd cluster with the districts which caracteristics itself have a good condition. 4th cluster with minimal power line facilities. From the analysis using single linkage method, 1st cluster obtained with a good condition of power line facilities. 2nd cluster with a good condition of educational facilities. 3rd cluster with a minimal educational facilities. 4th cluster with minimal power line facilities. R-Squared value from single linkage method is higher than ward’s method, this shows the single linkage clustering method produces cluster features with each other more heterogeneous compared to the clustering method ward. Keywords: Cluster Analysis, Ward’s Method, Single Linkage, Distict, Village Potential.

APLIKASI FUZZY ANALYTICAL HIERARCHY PROCESS UNTUK MENENTUKAN PRIORITAS PELANGGAN BERKUNJUNG KE GALERI (Studi Kasus di Secondhand Semarang) Agung Santoso; Rita Rahmawati; Sudarno Sudarno
Jurnal Gaussian Vol 5, No 2 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Entrepreneur have an important role in the development of developing countries. Entrepreneurship has many responsibilities, one of them is in making decisions concerning organizational leadership, marketing and others. Making the right decisions to support advancement a company. Analytic Hierarchy Process (AHP) is a decision support models to find the order of priority of the various alternatives in solving a problem. Weakness contained in the AHP is subjectivity. The approach to the fuzzy concept can minimize these weaknesses. The use of function Triangular Fuzzy Number (TFN) on Fuzzy AHP can clarify uncertainties in the interval assessment scale. This study aims to identifies the priority of customers visiting the gallery case study in Secondhand Semarang. The data taken by distributing questionnaires to customers have ever visiting as respondents. The results showed criteria of Barang is a top of priority with the highest priority weight is 0,341. Criteria of Produk followed with 0,245 priority weight, then criteria of Suasana with 0,211 priority weight, and the last criteria of Lingkungan with 0,201 priority weight.

PEMODELAN JUMLAH UANG BEREDAR MENGGUNAKAN PARTIAL LEAST SQUARES REGRESSION (PLSR) DENGAN ALGORITMA NIPALS (NONLINEAR ITERATIVE PARTIAL LEAST SQUARES) Riana Ikadianti; Rita Rahmawati; Agus Rusgiyono
Jurnal Gaussian Vol 4, No 3 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Money supply has a tendency to increase or decrease the price level. Because of it, it is important to do a restraint and control action on money supply through its affecting factors include net foreign assets, net claims on central government, claims on region government, claims on the other finances institution, claims on nonfinances enterprise of state-owned corporation, and claims on private sector. In this study, a model has done between money supply and its affecting factors using Partial Least Squares Regression (PLSR) with NIPALS (Nonlinear Iterative Partial Least Squares) algorithm because the affecting factors of money supply data is detected multicollinearity. In the PLSR, regression coefficient is obtained iteratively. Three stage iteration process in PLSR produce weight vector, loading vector, and parameter estimation that produce PRESS and R2 values later. Based on the analysis, PLSR model to the money supply data in July 2012 until December 2014 is obtained at the fourth iteration with minimum PRESS value as 2,10815x1010. That PLSR model has R2 value as 99,47%, so it is very good for explaining the money supply. By means of bootstrap technique, concluded that all of the affecting factors of money supply on PLSR model influence money supply significantly. Keywords: money supply, multicollinearity, PLSR, NIPALS

PENDEKATAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION UNTUK PEMODELAN PERTUMBUHAN EKONOMI MENURUT KABUPATEN/KOTA DI JAWA TENGAH Pratama Ganang Widayaka; Mustafid Mustafid; Rita Rahmawati
Jurnal Gaussian Vol 5, No 4 (2016): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Global regression models with a multitude of residual variance in each region causing non-homoskedastisitas assumptions are not met. The diversity of the geographic location factors causing spatial heterogeneity. Geographically Weighted Regression (GWR) is a development of linear regression by involving diverse factors geographical location, so that the parameters generated will be local. GWR model is not able to model the combination of local and global influences in a model. So the purpose of forming a GWR Mixed models are able to establish a model GWR with local and global influences simultaneously. GWR Mixed Model is used to estimate the model Gross Regional Domestic Product (GRDP). As independent variables that influence is revenue (PAD/X1), a variable amount of labor (JAK/X2), the human development index (HDI/X3), unemployment rate (TPT/X4) and the regional minimum wage (UMR/X5). Mixed GWR model the variables that are local and which are global variables. Methods for estimating model parameters MGWR using Weighted Least Square (WLS). Weights obtained the appropriate model to estimate the optimal bandwidth by using the reference method Cross Validation (CV) is a minumum. MGWR models with adaptive exponential kernel function weighting on Gross Domestic Product in the districts / cities in Central Java to produce variable JAK, IPM and TPT have the nature of the locality an area that is significant to the later model PAD have a global nature that sigbifikan against the model. To mengengetahui error rate value model is used Akaike Information Criterion (AIC). Keywords: Akaike Information Criterion, Bandwidth Cross Validation, Fungsi Kernel Gaussian, Mixed Geographically Weighted Regression, Weighted Least Square.

ANALISIS INTERVENSI KENAIKAN HARGA BBM TERHADAP PERMINTAAN BBM BERSUBSIDI PADA SPBU SULTAN AGUNG SEMARANG JAWA TENGAH Fandi Ahmad; Rita Rahmawati; Diah Safitri
Jurnal Gaussian Vol 4, No 1 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Fuel consumption is always interesting to study, in addition to the use of which is used by all the community but also because of the critical role of fuel as an indicator to determine the price of other staples. Not surprisingly, changes in fuel prices polemical definitely interesting to study. In this subject specifically on the impact of the fuel price hike subsidized fuel demand. Changes in fuel price (hike) will have an impact on people's behavior in anticipation of the event. Most people will take the step to buy fuel in bulk prior to the date of determination of the increase in fuel prices, resulting in a surge in demand for fuel. Intervention model is a time series model that can be used to model and predict the data containing the intervention of external factors. In the intervention model, there are two functions, namely the step and pulse functions. Step function is a form of intervention that occurs within a long period of time while the pulse function is a form of intervention that occurs only within a certain time. Based on the analysis suggests that the impact of the use of gasoline and diesel at the pump Sultan Agung Semarang wear both pulse function because the impact was immediate and occur only in a short time Keywords: subsidized BBM, time series, intervention models, pulse function, step function

ESTIMASI KANDUNGAN HASIL TAMBANG MENGGUNAKAN ORDINARY INDICATOR KRIGING Aldila Abid Awali; Hasbi Yasin; Rita Rahmawati
Jurnal Gaussian Vol 2, No 1 (2013): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Kriging is a geostatistical analysis of the data used to estimate the value that represents a no sample point based sample point in the surrounding by considering the spatial correlation in the data. Kriging is an interpolation method that generates unbiased predictions or estimations and has a minimum error. Indicator kriging is an estimation method that does not require the assumption of normality of data and can also be used to treat data that have a significant outlier. The indicator kriging that based on the principle of ordinary kriging also called ordinary indicator kriging. In this case study conducted Morowali estimated iron content in Central Sulawesi using ordinary indicator kriging method. The data used in the form of data coordinate point and iron content. The results obtained are presented probability value locations that fall within the zone of potential and non potential with the value the error variance. Based on the analysis to obtain a plot depicting the location of the entry in the zones of potential iron mine on the abscissa coordinate (7150–7210), the ordinate (54180–54540), and the depth ranges (440–500) meters and also the coordinates of the abscissa (7710–8130), the ordinate (54800–54960), and depths ranging from (327–342) meters.

PERAMALAN TINGGI GELOMBANG BERDASARKAN KECEPATAN ANGIN DI PERAIRAN PESISIR SEMARANG MENGGUNAKAN MODEL FUNGSI TRANSFER (Studi Kasus Bulan Januari 2014 sampai dengan Desember 2014) Firda Megawati; Rita Rahmawati; Suparti Suparti
Jurnal Gaussian Vol 4, No 4 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Semarang coast is suitable to develop marine transport activities such as sailing because of its strategic location in the coastal region of Indonesia. The condition of sailing in Indonesia is said smoothly if wave height is in the normal range which is 1-2 meters. Therefore, there will be research to predict wave height in Semarang harbor by using transfer function. The data used is secondary data from BMKG of Semarang period January 2014 to December 2014 with the variable X as the average daily of wind speed and variable Y as average daily of wave height. Model that formed based on the input wind speed is ARIMA(2,1,0) while transfer function model that formed is b=0, s=0, and r=0 with noise model ARMA(1,1). The forecasting results for January 2015 show that the wave height tends to rise and the highest wave is on the third day with 0,9589 meters. Calculation accuracy of forecasting wave heights using transfer function model with MAPE produce a value of 18,7%. Keywords : Transfer Function, Wave Height, Wind Speed.

IMPLEMENTASI METODE RESPONSE SURFACE SEBAGAI UPAYA OPTIMALISASI JUMLAH BINTIL AKAR PADA TANAMAN KEDELAI Muchammad Aziz Chusen; Rukun Santoso; Rita Rahmawati
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 | DOI: 10.14710/j.gauss.v6i2.16949

Response surface method is a set of statistics and mathematical techniques, useful to analyze the issue of multiple independent variables that affect to the dependent variable of response, and aim to optimize the response. The existence of response surface method is able to assist researchers in conducting improvised to get optimum results accurately and efficiently. In this experiment using the data factorial CRD (completely randomized design) with two factors and three levels. Two factors were tested consists of the elements cobalt and ferrum, with the level in the form of element concentrations with each ie cobalt (0 mg/L, 0.1 mg/L and 0.2 mg/L), and ferrum (0 mg/L, 1mg/L and 2 mg / L). Variable response is the number of nodules roots of soybean crops. After testing the response surface method produced a linear model of the first order Jumlah Bintil Akar Kedelai = 10.3 + 10.2 Ferum + 238.3 Kobalt – 1340.1 Kobalt 2 – 93 Ferum*(Kobalt 2). with the value of concentration at ferum = 2 mg/L and cobalt = 0.1 mg/L is able to generate growth in the number of nodules optimum soybean crop in these experiments. Keywords: Factorial design, Response surface

PENERAPAN METODE EMPIRICAL BEST LINEAR UNBIASED PREDICTION (EBLUP) PADA MODEL PENDUGA AREA KECIL DALAM PENDUGAAN PENGELUARAN PER KAPITA DI KABUPATEN BREBES Rahayu Ningtyas; Rita Rahmawati; Yuciana Wilandari
Jurnal Gaussian Vol 4, No 4 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

The coming of a policy about regional autonomy makes district government's choices of strategy and policy become crucial and important for it's district's development and prosperity. Indicator that can states this district development is Human Development Index (HDI). One of dimension that being used to predict the value of HDI is the dimensions of decent living, which can be shown from expenditure per capita. Should the samples of expenditure per capita are less than needed, it can cause difficulty to analyze the value of HDI on next level, which is sub-districal HDI. Direct estimaton only will not give enough validity for the results which can cause the increasing value for it's variance. Another method that can be used is small area estimation (SAE) with Empirical Best Linear Unbiased Prediction (EBLUP) method. This estimation uses the information from it's surrounding areas that correlates with the subject's parametrics. The evaluation for the results is done by comparing the value of Relative Root Mean Square Error (RRMSE) from a direct estimation with the RRMSE from an indirect estimation, which is the EBLUP method. Results from EBLUP estimation is better with average of RRMSE of 7,219% than direct estimation's average of RRMSE with 9,361%. Keywords : Expenditure per capita, Small Area Estimation (SAE), Empirical Best Linear Unbiased Prediction (EBLUP)

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 Suarman Sudarsa 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 Apriliyani, Neng Virly Arif Kurnia Wijayanto Arsyad, Mufid Asep Mulyana Asep Mulyana Asep Yoyo Wardaya Asmuni Hayat Assayuti, Muhammad Jalaludin Aulia Ikhsan Azahari, Ratnasari Azhari, Ratnasari Aziz, Hilmy Azzahra Nur Safitri Bawamenewi, Venni Alfrianni Betha Noranita Bhinekawati, Henny Budi Warsito Bunyamin Chrysmandini Pulung Gumauti, Chrysmandini Pulung Chyntia Arum Widyastusti Cinta, Nur Cuhandi Dadang Darmawan Danil, Mahmud Daniyati, Dian Dede Syahrudin Dedy Douglas Harianja Denny Hernawan, Denny Devy, Happy Sista Di Asih I Maruddani 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 Elfito, Fidya Arzita Elvia Ivada Erfan Sofha Esti Zaduqisti Esti Zaduqisti Esti Zaduqisty Eti karini Euis Salbiah 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 Ginung Pratidina Gotfridus Goris Seran Habib Ismail, Habib Hafii Risalam Hanien Nia H Shega Haryadi, Wanda Maulana Hasbi Yasin Hasbi Yasin Herliansyah, Muhammad Rudy Heryati, Ade Ika Sartika Ika Trisnawati A Ikha Rizky Ramadani Ikhwanudin Illahi, Muhammad Jaya Indrakusumah, Faruq Indrayati Galugu Indria Tsani Hazhiah Indriani, Agustina Irhamuddin Irmawati Istiroha Ita Dwilestari Iwannudin Leni Laelawati Levina, Geralda Lies Kurnia Irwanti Lina Karlinasari Luthfie, Muhammad Lydon, Novel Anak Lyndon, Novel Anak 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, M. 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 Afif Muhammad Alfonzo Aprilio Irawan Muhammad Andi Septiadi Muhammad Hilman Rizki Abdullah Muhammad Husein Maruapey Muhammad Husein Maruapey muhammad luthfie Muhammad Rendi Ramdhani Muhammad Yusuf Muhimmi, Aliyatul Mulyana, Ana Mumaiyizah, Mumaiyizah Mursyidah, Euis 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 Ningrum, Elis Salsiah Noor Fitri Novian Trianggara Novie Eriska Aritonang Nugraha, Fahri Nugraha, Rayhan Cahya Nur Alfi Khotamin Nur Alfi Khotamin, Nur Alfi Nuranti, Ayu Nurfadhillah, Annisya 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 R. Oetje Subagdja R. Oetje Subagdja Rachmawati, Siti Hesti Rahayu Ningtyas Rahman Wijaya Laksana Rahman, Muhammad Faizal Rezza Rahmawati, Rizky Devi Rakhmat, Rakhmat Ramdani, Faisal Tri Riana Ikadianti Rifana, Haikal Zaky Rifki Adi Pamungkas, Rifki Adi Rindayati, Rindayati 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. Rusliandy, Rusliandy Rustandi, Resyiana Saffira Rutinaias Haholongan Sabella, Shalsa Putri Sabhariyah, Riesmiati Samantha, Kenia Sandi Sanjaya, Sandi Santoso, Haris Saprudin Saprudin Saprudin, Saprudin Sastrawan, Berry Satriawan, Handi Seftina, Any Shifa Seta Satria Utama Shinta Dewi Rismawati Sirojuddin, Wawan SISWOYO Siti Julaeha, Siti Siti Nur Qomariah Soebagdja, R. Oetje Sri Harini Sri Wijayanti Sri Wijayanti St.Nawal Jaya Suarman, Agus Sudarno Sudarno Sugito - Sugito Sugito Sugiyanto - Sukanianto, Eko Adyan Sukarelawati Sukarelawati Sultoni, Muhammad Rafli Suminar, Mimin Suparti Suparti Supriatna, Hendra Susanti, Mey Syah, Hengky Firman Syahfitri, Nafidhatul Firda Eka Syeh Sarip Hadaiyatullah Tarno Tarno Tarno Tarno Tatik Widiharih Tatik Widiharih Thoha, Silvia Milady Azkiya Tohir, M. Abdullah Tri W., Vian Sigit Tri Widyastuti, Ambar 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 Wahyudin, Cecep Wati, Eka Masitho Wilis Ardiana Pradana Yuanita Syaiful Yuciana Wilandari Yuciana Wilandari Yulianita . Yunisa Ratna Resti Yunita, Norma Yunita, Trizalia Zahroh, Roihatul Zulfa, Iin Dana Zulfikar, Muhamad

Title

Found 196 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 196 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 196 Documents
Search