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This study is motivated by the importance of maintaining consumer satisfaction amidst increasingly fierce competition in the culinary business, where Warteg Bunana faces challenges in the form of a decline in the number of customers over the past two years. The objective of this research is to determine and analyze the influence of social media promotion, location, and perceived value on consumer satisfaction at Warteg Bunana in Batam City. The research method used is a quantitative approach with a survey method through the distribution of questionnaires to 100 respondents selected using simple random sampling techniques. Data were analyzed using multiple linear regression analysis via SPSS software. The findings indicate that simultaneously, social media promotion, location, and perceived value have a significant effect on consumer satisfaction with an F value of 21,940 and a significance value of 0.000 < 0.05. Partially, all three variables also have a significant influence on consumer satisfaction. The coefficient of determination (R Square) of 0.407 shows that these variables explain 40.7% of consumer satisfaction. The implications of this research suggest that Warteg Bunana management needs to increase social media promotion consistently and maintain location comfort and service quality to improve consumers' perceived value on a sustainable basis

The increasing complexity of urban road networks demands intelligent navigation systems capable of determining optimal routes efficiently. This research implements the Dijkstra Shortest Path algorithm to optimize route search on a location navigation system in Medan City. The system models a road network as a weighted graph comprising 57 strategic locations and over 90 road connections, represented using adjacency list data structures. The Dijkstra algorithm, implemented in Python using the heapq module for priority queue management, achieves an optimal time complexity of O((V+E) log V). The system features five main functions: shortest route search, popular routes, location listing, dynamic location addition, and dynamic road connection addition. System testing using a case study from Kualanamu Airport to the University of North Sumatra (USU) yielded an optimal route of 16.5 km through 4 road segments. Results demonstrate that the system successfully determines the most efficient route, provides accurate distance and travel time information for multiple transport modes (motorcycle, car, walking), and presents step-by-step journey guidance. This research contributes as a practical reference for applying shortest path algorithms in urban areas and serves as a foundation for developing more complex navigation applications in the future.

The distribution of social assistance in Indonesia faces challenges such as inaccurate recipient data, overlapping programs, and limitations of traditional data management systems that lead to inaccurate targeting of aid. This study proposes a social assistance distribution optimization system using the Greedy algorithm that assesses recipient priorities based on economic conditions, number of family members, location, and urgency of needs with certain weights to produce objective rankings. This system is implemented in a JavaScript-based web application without external frameworks, making it lightweight and easily accessible. Simulations with 20 prospective recipients and a quota of 10 slots and validation with a dataset of 10,000 entries show that the Greedy algorithm produces identical results to Dynamic Programming but is much faster (669 times faster). In terms of complexity, this algorithm has O(n log n) time and O(n) space, and meets the requirements of the Greedy Choice Property and Optimal Substructure, making it a practical and efficient solution for managing large-scale social assistance distribution in Indonesia.

This study investigates the influence of drug availability, location, and service quality on consumer purchasing decisions at Toko Obat Zahwa Batam. The phenomenon underlying this research is a significant decline of 23.3% in transactions at Toko Obat Zahwa over three years (2022–2024). A quantitative approach with survey method was employed, involving 100 respondents selected through purposive sampling. Data were collected using a Likert-scale questionnaire and analyzed through multiple linear regression using IBM SPSS 26. The results indicate that drug availability has a positive and significant effect on purchasing decisions (t = 5.390; sig. = .000), service quality has a positive and significant effect (t = 4.700; sig. = .000), while location does not significantly influence purchasing decisions (t = –0.556; sig. = .579). Simultaneously, all three variables significantly affect purchasing decisions (F = 38.203; sig. = .000) and explain 53.0% of the variance (Adjusted R² = .530). The dominant influence of drug availability confirms the need-driven nature of pharmaceutical retail purchases, while the non-significant effect of location reflects habitual buying behavior among loyal consumers. These findings provide practical implications for independent drug store management in competitive markets.

The need for housing is increasingly pressing with population growth and urbanization, while affordability remains a challenge for single-income households. The purpose of this investigation is to assess the impact of price also location on home purchase decisions using a literature review. This approach involves reviewing, analyzing, and synthesizing various relevant literature sources, such as scientific journals, books, undergraduate theses, also previous investigation reports that discuss factors influencing home purchase decisions. The study concludes that price plays a positive also significant role in home purchase decisions, as consumers prefer homes with prices commensurate with their purchasing power and the quality offered. Location has also been shown to influence decisions, particularly when housing is conveniently situated at a key location  and the availability of public facilities. However, certain studies indicate that price and location are not always the primary determinants of decision-making, as other variables such as promotion, brand image, product quality, and lifestyle also play a role.

This study is motivated by the importance of economic growth as a key indicator of regional development performance and public welfare improvement. Economic growth reflects the ability of local governments to manage resources and implement effective fiscal policies. This research aims to analyze the development and the influence of Local Own-Source Revenue, General Allocation Fund, and Special Allocation Fund on the economic growth of regencies/cities in Jambi Province during the period 2020–2024. The study employs a quantitative approach combined with descriptive analysis. Secondary data are obtained from official publications of relevant institutions and analyzed using panel data regression with the Common Effect Model approach. The results indicate that Local Own-Source Revenue and the General Allocation Fund have a significant effect on economic growth, showing that the increase in regional revenue and fiscal transfers contributes to economic performance. Meanwhile, the Special Allocation Fund does not have a significant effect, indicating that its allocation may not be optimally utilized in stimulating regional economic activities. These findings imply that strengthening regional fiscal capacity and improving the effectiveness of fund allocation are essential to promote sustainable economic growth. The study also highlights the need for better policy coordination and efficient financial management at the regional level to reduce disparities and enhance development outcomes.  

This research focuses on the creation and implementation of a web-based Geographic Information System (GIS) to map the position of Automated Teller Machines (ATMs) in Wonomulyo District, Polewali Mandar Regency. The rationale behind this research is rooted in the rapid economic and demographic development in the area, which requires easy access to financial services. However, the distribution of existing ATM points is still uneven, where people in rural areas often have to travel long distances to reach the nearest ATM. The method of creating this system involves the use of the PHP programming language along with a MySQL database. This system aims to present spatial information about the current ATM location accurately, thereby helping the public in finding banking services with high accuracy through an interactive map interface. In addition, this system offers optimal paths to ATM locations to improve user time efficiency. System evaluation was conducted using black box techniques to verify that the menu operations and application procedures function as intended. The findings indicate that the implementation of GIS improves public access while offering data assistance for financial institutions and local governments in developing a more equitable and systematic public facility allocation strategy in the future.

Sutera Subdistrict is an area affected by floods and landslides, causing significant damage to residential areas. Most houses suffered severe damage and are no longer habitable, making housing relocation a crucial post-disaster response. This study aims to identify settlements located in disaster-prone zones and determine potential land areas for housing relocation in Sutera. The method applied involves scoring and weighting combined with spatial analysis of various physical parameters and disaster vulnerability levels.The results indicate that Sutera Subdistrict has considerable potential land for housing relocation, with the highest potential found in Nagari Amping Parak Timur. However, the physical characteristics of the area and variations in disaster vulnerability require selective and planned land utilization. Disaster vulnerability maps serve as an essential basis for spatial planning and development control, particularly in determining relocation sites. In addition, strengthening mitigation efforts and enhancing community preparedness are necessary to minimize disaster risks and support the development of a safer and more sustainable area.

This study aims to determine the influence of Social Media Marketing, Influencer Marketing, and Location on Generation Z Customer Loyalty at Kedai Wanus Kediri. This research is quantitative. Data were obtained through two methods: primary and secondary data. The population in this study were Generation Z consumers at Kedai Wanus Kediri. The sample in this study was 100 consumers, with accidental sampling as the sampling technique. The analysis techniques used in this study included validity testing, reliability testing, classical assumption testing, multiple linear regression analysis, and hypothesis testing. The results of the partial t-test indicate that the variables Social Media Marketing, Influencer Marketing, and Location have a positive and significant effect on Generation Z Customer Loyalty at Kedai Wanus Kediri. The results of the simultaneous F-test indicate that Social Media Marketing, Influencer Marketing, and Location have a positive and significant effect on Generation Z Customer Loyalty at Kedai Wanus Kediri.

 Road infrastructure development is an important factor in supporting community mobility and equitable regional development. However, road construction data management in Palembang City still faces various problems, such as scattered data, lack of integration, and not yet presented in a map-based visual form. This study aims to implement a Geographic Information System (GIS) as a medium for location mapping and presenting road construction data information in Sematang Borang and Kalidoni Districts, Palembang City. The methods used include field observation, road construction data collection and verification, GPS coordinate point retrieval, spatial and non-spatial data processing, and the development of a GIS system based on interactive digital maps. The results of the study indicate that the system is able to present road construction information in a structured, accurate, and easily accessible manner. This GIS helps improve the efficiency of the monitoring process, data management, and preparation of road construction reports at the Palembang City Public Works and Housing Agency. Thus, the application of GIS can be a supporting solution in decision-making and encourage the digitalization of road infrastructure data management.

Traditional markets are an important component of the people’s economy and play a strategic role in supporting trading activities and community social life. The Government of Muaro Jambi Regency implemented a policy to relocate the Sengeti People’s Market to reorganize and improve the quality of trading facilities so they become more orderly, feasible, and representative. However, after relocation, market utilization has not functioned optimally, and various management problems persist. This study aims to analyze traditional market governance after relocation in Muaro Jambi Regency, using the Sengeti People’s Market as a case study. The research employs a qualitative approach with a case study method. Data were collected through field observations, in-depth interviews, and documentation, involving informants from the Trade Division of the Office of Cooperatives, SMEs, Industry, and Trade, as well as market managers, traders, and community members. Data analysis was conducted using descriptive qualitative techniques, including data reduction, data presentation, and conclusion drawing. The findings show that post-relocation governance has not been optimally implemented. Key issues include weak policy communication, mismatches between facilities and traders’ needs, limited trader participation, and poor coordination among relevant agencies. The study highlights that successful market relocation depends not only on physical development but also on participatory, transparent, and sustainable governance, supported by stronger institutional coordination, increased trader involvement, and continuous evaluation.

The community service program entitled “Implementation of Digital Technology through Mapping MSME Locations on Google Maps to Enhance Consumer Accessibility in the Bukit Lawang Tourism Area” aims to improve digital literacy and business visibility among local micro, small, and medium enterprises (MSMEs) in Bukit Lawang, Langkat Regency, North Sumatra. The program was carried out using a participatory approach through socialization, training, and technical assistance involving four local MSMEs, consisting of two wildlife-themed painting craftsmen, one culinary business, and one souvenir craftsman. The results show that all MSMEs were successfully registered and verified on Google Maps, leading to increased consumer accessibility and customer interaction through digital reviews. In addition to expanding market reach, this activity also fostered awareness and independence among business owners in managing their online business profiles. This program demonstrates that location mapping through Google Maps serves as a simple yet effective strategy to support MSME digital transformation and strengthen community-based creative economies in rural tourism areas.

Penelitian ini bertujuan untuk merancang dan merealisasikan antena mikrostrip patch berbentuk segitiga (triangular) yang bekerja pada frekuensi 1800 MHz, sebagai penguat jaringan internet di kawasan Kebun Raya Balikpapan. Lokasi tersebut diketahui memiliki kualitas sinyal yang kurang baik untuk beberapa provider. Antena yang dirancang menggunakan dua konfigurasi, yaitu MIMO 8x8 dengan teknik pencatuan langsung dan array 8x1, yang kemudian disimulasikan menggunakan CST Studio Suite 2019 dan diuji performansinya menggunakan metode Speedtest. Hasil simulasi menunjukkan bahwa antena 8x8 memiliki nilai VSWR sebesar 1,50, return loss -12,96 dB, dan gain 4,06 dBi dengan pola radiasi omnidirectional. Sementara itu, konfigurasi 8x1 array menunjukkan nilai VSWR 1,24, return loss -19,21 dB, dan gain 6,46 dBi, juga dengan pola radiasi omnidirectional. Hasil pengujian di lapangan dengan tiga kondisi tanpa antena eksternal, antena MIMO dan antena array 8x1 didapatkan hasil bahwa antena array 8x1 memberikan kecepatan unduh tertinggi mencapai 17,227 Mbps, unggah 4,072 Mbps, Jitter 34,9 ms  dan packet loss 14,18 % sedangkan antena MIMO 8x8 memberikan kecepatan unduh tertinggi mencapai 13,77 Mbps, unggah 2,462 Mbps, Jitter 49,9 ms  dan packet loss 18,43%. Kesimpulannya, kedua jenis antena eksternal yakni MIMO 8x8 dan array 8x1 mampu meningkatkan performa jaringan secara signifikan dan dapat menjadi solusi efektif untuk daerah dengan sinyal lemah. Antena ini diharapkan dapat memberikan kontribusi terhadap akses internet yang lebih stabil di area public yang sangat luas.

This study aims to analyze the influence of location, promotion, and service on purchasing decisions at Toko Lia 99 Semarang. The background of this research is based on the increasing competition in the retail business, which requires companies to pay attention to factors that can influence consumers’ purchasing decisions. This study uses a quantitative approach with a survey method. Primary data were obtained through questionnaires distributed to 100 respondents who are customers of Toko Lia 99 Semarang. The research instrument was a questionnaire using a Likert scale. The data analysis technique used is multiple linear regression with the help of SPSS software. The results show that, partially, the location variable has a positive and significant effect on purchasing decisions. The promotion variable also has a positive and significant effect on purchasing decisions. Likewise, the service variable is proven to have a positive and significant effect on purchasing decisions. Simultaneously, location, promotion, and service have a positive and significant influence on purchasing decisions.

Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh lokasi, biaya kuliah, dan promosi terhadap minat mahasiswa untuk melanjutkan studi di Institut Teknologi dan Bisnis (ITB) Semarang. Fokus penelitian diarahkan pada faktor-faktor eksternal yang diduga memiliki peran penting dalam menentukan minat mahasiswa dalam memilih perguruan tinggi. Penelitian ini menggunakan pendekatan kuantitatif dengan memanfaatkan data primer yang diperoleh melalui penyebaran kuesioner berbasis Google Form. Populasi penelitian adalah seluruh mahasiswa ITB Semarang, sedangkan sampel penelitian adalah mahasiswa tahun ajaran 2024/2025 yang dipilih melalui teknik purposive sampling, dengan jumlah responden sebanyak 65 orang. Analisis data dilakukan menggunakan regresi linear berganda untuk menguji pengaruh dari  masing-masing variabel independen terhadap variabel dependen. Hasil penelitian menunjukkan bahwa lokasi, biaya kuliah, dan promosi berpengaruh positif dan signifikan terhadap minat mahasiswa memilih ITB Semarang sebagai tempat melanjutkan pendidikan tinggi. Temuan ini menegaskan bahwa semakin strategis lokasi kampus, semakin terjangkau biaya kuliah, dan semakin efektif promosi yang dilakukan, maka semakin tinggi minat mahasiswa untuk mendaftar.

Penelitian ini bertujuan untuk mengevaluasi implementasi Tingkat Komponen Dalam Negeri (TKDN) pada pekerjaan elektrikal proyek konstruksi bangunan gedung pemerintah di Indonesia. Metode yang digunakan adalah pendekatan kuantitatif deskriptif–evaluatif melalui studi kasus pada delapan lokasi proyek pemerintah. Evaluasi dilakukan terhadap capaian TKDN pada pekerjaan MVMDP, LVMDP, pemasangan kabel, pencahayaan, genset, trafo distribusi, dan biaya transportasi berdasarkan dokumen kontrak dan ketentuan regulasi yang berlaku. Hasil penelitian menunjukkan bahwa capaian TKDN antar proyek sangat bervariasi, dengan kecenderungan nilai TKDN rendah pada komponen berteknologi tinggi dan proyek di luar Pulau Jawa. Temuan ini mengindikasikan bahwa keterbatasan material lokal dan ketimpangan distribusi industri menjadi tantangan utama dalam implementasi TKDN. Penelitian ini memberikan kontribusi empiris dalam mengevaluasi kebijakan TKDN pada pekerjaan elektrikal serta menjadi dasar rekomendasi kebijakan peningkatan TKDN yang lebih terarah.

Penelitian ini bertujuan untuk mengembangkan sistem telemetri guna memantau kinerja panel surya pada beberapa lokasi dengan menggunakan komunikasi jarak jauh dan platform Internet of Things (IoT). Metode pemantauan konvensional memiliki keterbatasan dalam menyediakan data secara real-time pada area yang luas, sehingga evaluasi kinerja jarak jauh menjadi kurang efisien. Untuk mengatasi permasalahan tersebut, dirancang sebuah sistem pemantauan menggunakan mikrokontroler ESP32, sensor INA219 untuk mengukur tegangan dan arus, modul GPS Neo-M8 untuk identifikasi lokasi, modul Real-Time Clock (RTC) DS3231 untuk pencatatan waktu, serta modul LoRa RA-02 sebagai media komunikasi nirkabel. Setiap node pengirim dilengkapi dengan modul MicroSD untuk menyimpan data pengukuran secara lokal. Data hasil pengukuran dikirimkan melalui LoRa ke unit penerima dan ditampilkan secara real-time pada platform Thinger.io. Hasil kalibrasi menunjukkan bahwa sensor INA219 memiliki rata-rata galat pengukuran arus sebesar 0,71% dan galat pengukuran tegangan sebesar 0,1%. Pengujian GPS menunjukkan koordinat lokasi yang stabil dengan tingkat akurasi sekitar ±3 hingga ±8 meter. Seluruh data pengukuran berhasil dikirim, disimpan, dan ditampilkan tanpa kehilangan data yang signifikan. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu menyediakan pemantauan parameter panel surya secara jarak jauh yang andal dan efisien dalam kondisi lapangan.

Penelitian ini menggunakan data sekunder yang telah melalui beberapa proses pra-pengolahan, mencakup penanganan data yang hilang, standarisasi data numerik, serta konversi data kategorikal menggunakan teknik One-Hot Encoding. Sebagian besar data (80%) digunakan dalam tahap pelatihan, sedangkan 20% sisanya digunakan untuk tahap pengujian, sedangkan model diimplementasikan dengan metode LinearRegression() pada library scikit-learn. Hasil evaluasi menunjukkan bahwa model berhasil menangkap hubungan linier di antara variabel independen dan dependen, memperoleh nilai MAE = 0,509; MSE = 0,464; RMSE = 0,681; dan R² = 0,627. Hal ini menandakan bahwa sekitar 62,7 persen variasi harga rumah di wilayah Jabodetabek dapat dijelaskan oleh model tersebut.

Perkembangan sistem informasi seiring dengan kemajuan teknologi informasi yang signifikan, berperan dalam penyimpanan, pengelolaan, dan pendistribusian informasi. Salah satu contohnya adalah dalam pengelolaan data instalasi kabel serat optik. Dinas Komunikasi dan Informatika Bangkalan, sebagai instansi pemerintah, menghadapi tantangan dalam pencatatan data serat optik yang masih dilakukan secara konvensional menggunakan perangkat lunak Excel. Untuk mengatasi masalah ini, peneliti merancang dan mengembangkan "Sistem Informasi Instalasi Kabel Serat Optik di Kabupaten Bangkalan." Tujuan dari sistem ini adalah untuk meningkatkan efisiensi dan efektivitas dalam pengelolaan data, menyederhanakan proses pencatatan, dan mempercepat akses informasi kepada pihak terkait. Hasil pengelolaan data dalam sistem informasi ini mencakup empat proses utama: pengelolaan data titik instalasi, pengelolaan data lokasi, pengelolaan data pengguna, dan pengelolaan data kecepatan internet. Penerapan metode waterfall dalam perancangan sistem informasi ini memberikan solusi untuk meningkatkan efisiensi dan efektivitas dalam pengelolaan data. Perancangan sistem informasi ini terdiri dari lima (5) perancangan utama yaitu: 1) Menampilkan halaman pengunjung ketika aplikasi diakses, 2) Menerima dan mengolah data berdasarkan tindakan CRUD (create, read, update, delete), 3) Melakukan verifikasi data login dan menampilkan pesan error apabila data login salah, 4) Menyediakan fitur pencarian data, dan 5) Menghasilkan laporan data instalasi.

This study aims to examine the influence of brand image, location, and price on customers’ purchase intention at the USD Bundle thrifting store in Kediri. This research employed a quantitative approach using purposive sampling, involving 152 respondents who were active customers of USD Bundle. Data were analyzed through classical assumption tests, multiple linear regression, t-test, and F-test using SPSS 25. The results indicate that brand image, location, and price each have a positive and significant effect on purchase intention. Simultaneously, these variables also show a positive and significant impact, with a coefficient of determination (R²) of 0.954, meaning that 95.4% of the variation in purchase intention is explained by brand image, location, and price. These findings highlight that a strong brand image, strategic location, and competitive pricing play essential roles in increasing customer purchase intention in thrifting businesses, particularly within urban environments such as Kediri City.