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PERBANDINGAN REGRESI KOMPONEN UTAMA DENGAN REGRESI RIDGE PADA ANALISIS FAKTOR-FAKTOR PENDAPATAN ASLI DAERAH (PAD) PROVINSI JAWA TENGAH Tazliqoh, Agustifa Zea; Rahmawati, Rita; Safitri, Diah
Jurnal Gaussian Vol 4, No 1 (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 (457.273 KB) | DOI: 10.14710/j.gauss.v4i1.8098

Abstract

Assuming violation multicollinearity in classical regression analysis can cause estimator resulting from classical model regression inefficient. Principal components regression and ridge regression are the methods that can be used to overcome the problem of multicollinearity. This research aimed to compare between the principal components regression with ridge regression to tackle the problem of multicollinearity in the analysis of the factors that affect revenue (PAD) of the Central Java province. The data used in this research are data revenue (PAD), and factors that affect the region, such as local tax, retribution, Gross Regional Domestic Products (GRDP) at current prices, Gross Regional Domestic Products (GRDP) at constant prices, population, regional spending. Based on the coefficient of determination value and test on individual regression coefficients, the value of variance inflation factor and correlations sufficiently high among some independent variables so we can conclude the existence of a violation of multicollinearity on analysis factors PAD. Based on standard error resulting from principal components regression and ridge regression show that principal components regression results in a standard smaller error. This shows that principal component regression is better than ridge regression in solving the problem multicollinearity on analysis of factors that affects pad province of central java. Keywords: Multicolinearity, revenue (PAD), Principal Component Regression, Ridge Regression, standard error
PERBANDINGAN METODE PERAMALAN MENGGUNAKAN SINGLE EXPONENTIAL SMOOTHING DAN RANDOM FOREST PADA DATA OUTLIER Lukmanul Hakim; Asep Saefuddin; Ristu Haiban Hirzi; Agustifa Zea Tazliqoh
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 4, No 2 (2022)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v4i2.27349

Abstract

ABSTRACT The progress of a country is seen from various indicators and one of them is the welfare of its population. The most basic welfare of the population in an agrarian country like Indonesia can be seen from the welfare of its farmers. The indicator that is commonly used to measure the welfare of farmers is by using Farmer Exchange Rates (NTP). However, it is known that the exchange rate of farmers during the Covid 19 pandemic has experienced a very drastic decline. This is difficult for the government to make predictions. So a special method is needed in handling it. In this study, two methods were used, namely single exponential smoothing and random forest. From the research results, it was found that the MAPE value in single exponential smoothing was smaller when compared to the random forest. However, the fact is that the exchange rate of farmers every year always increases. Therefore it can be concluded that exponential smoothing is weak against outlier data.Keywords: Exponential ,Smoothing, Random Forest, MAPE, Forecasting  ABSTRAKMaju atau tidaknya suatu negara dilihat dari berbagai indikator dan salah satunya yaitu kesejahteraan penduduknya. Kesejahteraan penduduk yang paling mendasar pada negara agraris seperti Indonesia dapat dilihat dari kesejahteraan petaninya. Indikator yang umum digunakan untuk mengukur kesejahteraaan petani yaitu dengan menggunakan Nilai Tukar Petani (NTP). Akan tetapi diketahui bahwa nilai tukar petani selama pandemi covid 19 melangalami penurunan yang sangat drastis. Hal ini sulit pagi pemerintah dalam melakukan prediksi. Sehingga di butuhkan metode khusus dalam penanganannya. Dalam penelitian ini menggunakan dua metode yaitu singgel exponential smoothing dan random forest. Dari hasil penelitian didapatkan hasil bahwa nilai MAPE pada single exponential smoothing lebih kecil jika dibandingkan dengan random forest. Akan tetapi faktanya nilai tukar petani setiap tahunnya selalu mengalami peningkatan. Oleh karena itu dapat disimpulkan bahwa exponential smoothing lemah terhadap data outlier. Kata Kunci: Exponential ,Smoothing, Random Forest, MAPE, Peramalan 
PEMILIHAN MODEL TERBAIK PADA KASUS KEMISKINAN DI BEBERAPA WILAYAH DI JAWA TENGAH DENGAN ANALISIS DATA PANEL Agustifa Zea Tazliqoh; Lukmanul Hakim
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 4, No 2 (2022)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v4i2.27496

Abstract

Kemiskinan merupakan suatu permasalahan yang tidak pernah lepas dari negara berkembang, tak terkecuali Indonesia. Negara Indonesia dengan sumber daya alam yang berlimpah masih belum mampu untuk mengentaskan kemiskinan di Indonesia. Jawa tengah merupakan salah satu provinsi dengan jumlah penduduk yang cukup banyak dengan potensi perekonomian yang mendukung seperti bidang pertanian, kehutanan, industry, perguruan tinggi negeri maupun swasta yang cukup banyak tetapi masih belum mampu untuk menekan angka kemiskinan di Jawa Tengah. Sebagian wilayah di Jawa Tengah yang memiliki potensi sumber daya alam dan juga potensi industri kecil-sedang justru menjadi kabupaten dengan tingkat kemiskinan yang cukup tinggi. Tujuan penelitian ini yaitu untuk mendapatkan model terbaik untuk mengetahui faktor apa saja yang mempengaruhi kemiskinan di sebagian wilayah di Jawa Tengah dengan analisis data panel. Adapun peubah yang digunakan adalah persentase penduduk miskin (%) sebagai peubah respon dan kepadatan penduduk per km2 (%), tingkat pengangguran terbuka (%), dan angka melek huruf (%) sebagai peubah penjelas. Model yang terbaik untuk analisis kemiskinan di sebagian wilayah di Jawa Tengah adalah model pengaruh tetap. Angka melek huruf berpengaruh negatif sebesar -0,991045 terhadap tingkat kemiskinan di wilayah tersebut. Sedangkan tingkat pengangguran terbuka berpengaruh positif sebesar 0,338258 terhadap tingkat kemiskinan di wilayah tersebut.
Pengaruh Brand Image, Service Quality, Dan Perceived Ease Of Use Terhadap Kepuasan Pelanggan Mcdonald’s Jakarta Dalam Menggunakan Layanan Pesan Antar Makanan Via Online Shafarina, Marsha Nur; Tazliqoh, Agustifa Zea
Jurnal Ekonomi, Manajemen, Akuntansi, Bisnis Digital, Ekonomi Kreatif, Entrepreneur (JEBDEKER) Vol 4 No 1 (2023): Desember 2023
Publisher : Sekolah Tinggi Ilmu Ekonomi Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56456/jebdeker.v4i1.206

Abstract

Perkembangan teknologi saat ini begitu cepat berkembang dan tersebar ke seluruh penjuru dunia, didukung dengan perkembangan bisnis kuliner di Indonesia saat ini. Adanya penggunaan layanan pesan antar makanan saat ini sudah dilakukan secara online dan sudah ada banyaknya gerai Mcdonald’s di Indonesia, para konsumen perlahan memiliki pandangan atau persepsi di dalam pikirannya masing – masing tentang produk yang sudah ditawarkan oleh perusahaan makanan cepat saji ini. Tujuan penelitian ini untuk mengetahui apakah brand image, service quality, dan perceived ease of use memiliki pengaruh terhadap kepuasan pelanggan dengan menggunakan analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa brand image dan perceived ease of use tidak berpengaruh terhadap kepuasan pelanggan, sedangkan service quality memiliki pengaruh terhadap kepuasan pelanggan.
Sosialisasi Pentingnya Investasi dan Pencegahan Investasi Bodong Desa Kalijati, Kecamatan Jatisari, Kabupaten Karawang Isro'iyatul Mubarokah; Agustifa Zea Tazliqoh
Jurnal Karya untuk Masyarakat (JKuM) Vol 5, No 1 (2024): Jurnal Karya untuk Masyarakat
Publisher : STARKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36914/jkum.v5i1.1086

Abstract

Investasi merupakan tindakan penanaman aset atau dana oleh perusahaan atau individu dalam kurun waktu tertentu, dengan tujuan memperoleh imbal balik yang lebih besar di masa depan. Bagi pemula, investasi dapat dimaknai sebagai strategi untuk mengembangkan kekayaan atau menghasilkan pendapatan tambahan dengan memahami dan memilih berbagai instrumen investasi yang sesuai dengan tujuan finansial dan toleransi risiko. Desa Kalijati merupakan salah satu desa yang ada di Kecamatan Jatisari, Kabupaten Karawang. Desa Kalijati merupakan salah satu desa maju dan mandiri, namun investasi yang dilakukan oleh masyarakat di masih sedikit. Oleh karena itu, tujuan pengabdian kepada masyarakat ini adalah untuk mensosialisasikan pentingnya investasi dan pencegahan investasi bodong. Metode yang digunakan yaitu melalui observasi, pendataan, dan sosialiasi. Observasi dilakukan dengan melakukan wawancara kepada perangkat Desa Kalijati, pendataan dilakukan dengan melakukan pendataan terhadap masyarakat yang akan dilibatkan dalam sosisalisasi dan pelaksanaan sosialisasi dilakukan untuk memberikan pemahaman kepada masyarakat terkait investasi dan pencegahan investasi bodong. Kegiatan sosialisasi diikuti oleh 25 peserta yang merupakan perangkat desa, aparat desa RW dan RT, pelaku UMKM, dan Kader PKK dan Posyandu. Acara dimulai pukul 09.00 hingga pukul 12.00 WIB. Acara sosialisasai dilaksanakan di Aula Desa Kalijati. Hasil kegiatan menunjukkan bahwa peserta sosialisasi antusias mengikuti kegiatan sosialisasi dari awal hingga akhir. Pengetahuan peserta sosialisasi terkait konsep dasar investasi dan pencegahan investasi bodong juga meningkat. ABSTRACT Investment is the act of investing assets or funds by a company or individual within a certain period of time, with the aim of obtaining greater returns in the future. For beginners, investment can be interpreted as a strategy to develop wealth or generate additional income by understanding and choosing various investment instruments that suit your financial goals and risk tolerance. Kalijati Village is one of the villages in Jatisari District, Karawang Regency. Kalijati Village is one of the developed and independent villages, but investment made by the community is still small. Therefore, the aim of this community service is to socialize the importance of investment and prevent fraudulent investments. The method used is through observation, data collection and socialization. Observations were carried out by conducting interviews with Kalijati Village officials, data collection was carried out by collecting data on the community who would be involved in the outreach and the implementation of the outreach was carried out to provide understanding to the community regarding investment and prevention of fraudulent investment. The socialization activity was attended by 25 participants who were village officials, Neighbourhood / Community Association, Empowering Family Welfare, Micro, Small and Medium Enterprises, and integrated service post squad. The event starts at 09.00 until 12.00 WIB. The socialization event was held in the Kalijati Village Hall. The results of the activity showed that the socialization participants were enthusiastic about participating in the socialization activities from start to finish. Knowledge of socialization participants regarding basic investment concepts and prevention of fraudulent investments also increased.
Evaluating service quality in Indonesian rural tourism: The RURALQUAL model approach Muzayanah, Fety Nurlia; Miharja, Rediawan; Tazliqoh, Agustifa Zea
Journal of Enterprise and Development (JED) Vol. 6 No. 2 (2024): Journal of Enterprise and Development (JED)
Publisher : Faculty of Islamic Economics and Business of Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/jed.v6i2.10416

Abstract

Purpose — The purpose of this study is to evaluate service quality using the RURALQUAL model and examine its relationship with customer satisfaction and customer experience.Method — The research method employed in this study is quantitative research using Structural Equation Modeling, specifically Partial Least Squares (PLS-SEM). The variables investigated include service quality (X) as the independent variable, customer experience (Y) as the intervening variable, and customer satisfaction (Z) as the response variable. The population for this study consists of tourists visiting Wanayasa Rural Tourism in Purwakarta. The sampling method used to select participants is non-probability sampling, specifically the purposive sampling technique. A total of 344 Wanayasa tourists were included as samples in this study.Result — This study discovered that there is a notable impact on customer experience and customer satisfaction when it comes to service quality. Additionally, customer experience can act as a mediator between service quality and customer satisfaction.Novelty — This research applies RURALQUAL model approach to measure service quality in rural tourism in Wanayasa, Purwakarta, Indonesia.
Analysis of Human Development Index Indicators to Build Quality Human Resources Tazliqoh, Agustifa Zea
Banking & Management Review Vol. 11 No. 2: Banking & Management Review
Publisher : STIE Ekuitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52250/bmr.v11i2.679

Abstract

Quality human resources is one of the important elements to support economic growth because humans are the true wealth of the nation which humans not only act as actors in development programs but humans are the goal of development programs. Quality of human resources is represented by human development index. According to UNDP indicators of human development index are health, education and average length of schooling, as well as a measure that represents income. Therefore, the purpose of this study is to determine indicators that have a significant effect on the quality of human resources. This study used secondary data which was analyzed using correlation and regression analysis. Based on the analysis of the variables Life Expectancy, Years of School Expectation, the average length of schooling has an effect on the human development index while real spending per capita has no effect on the human development index at a significance level of 5%. In this regard, it can be said that health and education play a role in building quality human resources especially in Indonesia.
Pendampingan UMKM Opak dalam Rangka Meningkatkan Nilai Tambah Produk di Desa Karanganyar, Kecamatan Klari, Kabupaten Karawang Muzayanah, Fety Nurlia; Purnama, Muhammad Fazza; Sinaga, Stevani Tistayulia Rodiah; Miharja, Rediawan; Tazliqoh, Agustifa Zea; Muhammad, Rabhi Fathan
Jurnal Budiman: Pembangunan dan Pengabdian Masyarakat Nusantara Vol. 2 No. 2 (2024): November
Publisher : Fakultas Pertanian, Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

UMKM memiliki potensi mendukung kesejahteraan ekonomi mandiri masyarakat. Selain itu UMKM juga memili kontribusi yang besar pada perekonomian Indonesia dengan menyerap tenaga kerja sebanyak 96,9%, kontribusi PDB sebesar 60,5%, dan total investasi UMKM Nasional 60,0%. Sayangnya UMKM menghadapi permasalahan yang umum terjadi, yaitu pengembangan produk, kemasan dan digitalisasi pemasaran. Maka dari itu kegiatan pengabdian ini bertujuan untuk memberikan nilai tambah produk yang ada di UMKM Opak Apik Teh Tika yang berlokasi di Desa Karanganyar, Kecamatan Klari, Kabupaten Karawang. Saat ini, UMKM tersebut masih dalam proses pengembangan karena masih terbatasnya variasi produk dan pemasaran. Melalui kegiatan ini diharapkan UMKM Opak Apik Teh Tika dapat lebih berkembang dan memiliki nilai tambah produk yang lebih baik.
Pengaruh Risiko Kerja Dan Upah Minimum Terhadap Produktivitas Kerja Malakiyyah, Siti Nurhalifah; Tazliqoh, Agustifa Zea
Jurnal Ilmiah Wahana Pendidikan Vol 11 No 1.A (2025): Jurnal Ilmiah Wahana Pendidikan 
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the competitive business world, work productivity is an important factor for company success. This research examines how work risks and minimum wages affect work productivity. Using multiple linear regression analysis, this research collected data from 80 employees at Company "X" to understand the influence of work risks and minimum wages on work productivity. Based on the results of data analysis using multiple linear regression, it shows that both work risk and minimum wage have a positive influence on work productivity. This indicates that the greater the work risk and the minimum wage, the greater the work productivity of employees at Company "X". These findings emphasize the importance of effective risk management and fair wage policies to increase employee productivity