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All Journal JMathCos (Journal of Mathematics, Computation, and Statistics) SRIWIJAYA INTERNATIONAL JOURNAL OF DYNAMIC ECONOMICS AND BUSINESS Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam Jurnal Statistika dan Matematika (Statmat) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Difusi Jurnal Pengabdian Masyarakat Indonesia (JPMI) Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya JURNAL HANDAYANI PGSD FIP UNIMED Applied Business and Administration Journal (ABAJ)
Siti Samsiyah Purwaningsih
Politeknik Negeri Bandung
Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Penentuan Faktor Kemiskinan Indonesia Menggunakan Regresi Logistik irfani azis; I Made Sumertajaya; Siti Samsiyah Purwaningsih; Sri Surjani Tjahjawati
Journal of Mathematics Computations and Statistics Vol 6, No 1 (2023): April
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v6i1.40985

Abstract

Kemiskinan merupakan suatu masalah global yang dihadapai diberbagai negara, termasuk Indonesia. Penelitian ini bertujuan untuk mengetahui faktor yang memberingan pengaruh pada tingkat kemiskinan di Indonesia dengan melihat pengelompokkan kemiskinan itu sendiri. Data yang digunakan adalah data yang ada pada website badan pusat statistik dan bappenas tahun 2021 dengan model yang digunakan adalah model regresi logistik ordinal. Metode backward elimination digunakan untuk memilih model terbaik dengan nilai akaike information criterion terendah. Hasil dari penelitian ini adalah faktor produk domestik bruto dan tingkat pengangguran berpengaruh positif signifikan sedangkan jumlah penduduk dan upah minimum provinsi berpengaruh negatif seignifikan pada tingkat kemiskinan di Indonesia.Kata Kunci: backward elimination, regresi logistik, ordinal Poverty is a global problem faced by various countries, including Indonesia. This study aims to determine the factors that influence the level of poverty in Indonesia by looking at the poverty classification itself. The data used is data on the website of the Central Statistics Agency and Bappenas in 2021 with the model used is an ordinal logistic regression model. The backward elimination method is used to select the best model with the lowest information criterion akaike value. The results of this study are that the gross domestic product factor and the unemployment rate have a significant positive effect, while population size and the provincial minimum wage have a significant negative effect on the poverty rate in Indonesia.Keywords: backward elimination, logistic regression, ordinal.
FAKTOR-FAKTOR YANG MEMPENGARUHI PERILAKU PERPINDAHAN MEREK PADA KONSUMEN (Studi Kasus produk IndiHome di Wilayah Bandung Raya) Rahma Wulan Hijriany; Siti Samsiyah Purwaningsih
Applied Business and Administration Journal Vol. 1 No. 3 (2022): Applied Business in MSME
Publisher : Ebiz Prima Nusa

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Abstract

The rapid development of technology aligns with the development of the internet, which keeps growing on a daily bases, resulting in the proliferation of internet service providers today. This is due to the high public demand for internet access, which has turned it into a "primary" need and a separate lifestyle, especially for people in the Bandung Raya area. Consumer brand switching behavior cannot be avoided in the face of increasing competition for internet service providers. One of the companies in Indonesia that provides internet provider services is PT Telkom Indonesia with IndiHome products. The purpose of this study is to identify the factors that cause brand switching behaviour between IndiHome customers in the Bandung Raya area and to know which has the highest and lowest dimension contribution based on the factors that cause brand switching behaviour. This study's population consists of customers who have switched from IndiHome products to other products and live in the Bandung Raya area. The sampling technique used is non-probability sampling, specifically the purposive method (according with goal of this study) by distributing questionnaires to customers who have switched from IndiHome to other internet service providers. The data in this study was analyzed quantitatively using a descriptive analysis method. Based on the results of the research through 101 respondents, they "agree" that the factors of pricing, inconvenience, competitor attractiveness, and failure of core services contribute to brand switching behaviour. The highest contribution to brand switching behaviour is the dimension of core service failures, while the lowest contribution is the dimension of inconvenience.
DIJKSTRA ALGORITHM IN DETERMINING THE SHORTEST ROUTE FOR DELIVERY SERVICE BY J&T EXPRESS IN BANDUNG Anie Lusiani; Siti Samsiyah Purwaningsih; Euis Sartika
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.337

Abstract

The determination of the shortest route can be done using various methods, one of which is the Dijkstra algorithm. This algorithm is often used in routing problems with minimum weight in computer networks, communication networks and transportation networks. There are several applications of the Djikstra algorithm, namely solving the problem of the shortest path of neutrosophy, mapping tourism potential, and developing geographic information systems in the health sector. In this research, Dijkstra algorithm will be applied to optimize the mileage of the delivery of goods packages. Data and information namely the address, weight and number of customer packages carried by a courier in one delivery trip are obtained from the drop point of PT. J&T Express in Sarijadi area of Bandung City. Meanwhile, data about mileage is obtained from the Google Maps application. All this data is used to construct an initial model graph that is a connected weighted graph, where the location of a drop point or a customer is a vertex and a road connecting two locations is an edge on the graph. The weight in this graph is the mileage from the drop point to the customers or from one customer to another. Then, the Djikstra algorithm is run on this graph where the drop point is the starting point of the route, so that the courier visits all customers and returns again to the drop point. The resulting route is a cycle in the graph which is the shortest closed route at 1890 meters.
TSP METHOD USING NEAREST NEIGHBOR ALGORITHM AT PT. J&T EXPRESS IN BANDUNG Anie Lusiani; Siti Samsiyah Purwaningsih; Euis Sartika
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.449

Abstract

Effectiveness and efficiency are very important for an expedition company in optimizing the delivery of goods by a courier. The Traveling salesman problem (TSP) method using the Nearest Neighbor Algorithm can optimize the delivery of goods to all consumer location points with only one visit in one trip. The purpose of this study is to find the shortest route using the TSP method based on the travel distance data from drop point PT. J&T Express Sarijadi Bandung to all consumer points and back to this drop point. This data is processed using Matlab and Excel Solver software based on the Nearest Neighbor Algorithm. The results of this study show that the TSP method produces the shortest route, which is 1,944 meters. The delivery route generated by this method provides travel distance efficiency of 50.09% from the route without the TSP method, which is 3,960 meters. Thus, it is expected that there will also be optimization of time and transportation costs in this delivery.
Predicting Local Brand Acceptance in the Leather Products Market Sri Surjani Tjahjawati; Siti Samsiyah Purwaningsih; Sholihati Amalia
SRIWIJAYA INTERNATIONAL JOURNAL OF DYNAMIC ECONOMICS AND BUSINESS SIJDEB, Vol. 6, No. 1, March 2022
Publisher : Faculty of Economics, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29259/sijdeb.v6i1.89-106

Abstract

The purpose of this paper is to analyze the local brand acceptance theoretically and practically and develop an integrated model that explains local brand acceptance in the local leather product market in Indonesia. The data is collected from 297 respondents, namely buyers of local leather brands in Indonesia. Structural Equation Model–Partial Least Square (SEM-PLS) analysis was conducted to analyze the relationship between constructs. Importance-performance map analysis (IPMA) is used to analyze which constructs have the highest level of importance to local brand acceptance and price acceptance. The results show that price acceptance is influenced by product involvement, product knowledge, and prestige sensitivity. Local brand acceptance is only influenced by product involvement and price acceptance. The IPMA results show that product involvement has the highest level of importance to price acceptance. Price acceptance has the highest level of importance to local brand acceptance. This is one of the first studies that predicts local brand acceptance and price acceptance in the local leather product market in Indonesia and clarifies the role of product knowledge, product involvement, prestige sensitivity on their effect on local brand acceptance and price acceptance.
Co-Authors Anny Suryani Euis Sartika Hadiningrum, Kunlestiowati I Made Sumertajaya Irfani Azis Irfani Azis Lusiani, Anie Muldiani, Ratu Fenny Nani Yuningsih Neneng Nuryati NS Junaedi Rahma Wulan Hijriany Sardjito Sardjito Sholihati Amalia Sri Suratmi Sri Surjani Tjahjawati Suhendar, Waway Qodratulloh