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PENGARUH KEMASAN PRODUK DAN RASA TERHADAP MINAT BELI YANG BERDAMPAK PADA KEPUTUSAN PEMBELIAN PELANGGAN MINUMAN ENERGI Willy, Willy; Nurjanah, Siti
Jurnal Ilmu Manajemen Vol 8, No 2 (2019): Jurnal Ilmu Manajemen
Publisher : Universitas muhammadiyah palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/jimn.v8i2.1820

Abstract

This study aims to: Know and explain and evaluatethe effect of product packaging and taste on customer buying interests that have an impact on customer buying decisions; and knowing and explaining the influence of buying interest on buying energy drink customers. The variables in this study are product packaging and taste with buying interest as intervining variables and buying decisions as the dependent variable. This study uses a type of quantitative research. The population of this study were respondents who consumed energy drinks. The sample used amounted to 137 respondents using purposive sampling. The results showed that: product packaging and taste had a positive effect on customer buying interest; product packaging forms have a positive effect on customer buying decisions; product taste does not have a positive effect on buying interest and customer buying decisions.
PENGARUH KEDWIBAHASAAN TERHADAP PENGUNAAN BAHASA SISWA DI SMA GEMBALA BAIK PONTIANAK Willy, Willy; Saman, Sisilya; Patriantoro, Patriantoro
Jurnal Pendidikan dan Pembelajaran Khatulistiwa Vol 7, No 12 (2018): Desember 2018
Publisher : Jurnal Pendidikan dan Pembelajaran Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (402.206 KB)

Abstract

AbstractThe multiplicity of students colors the language usage of students in the school environment, especially in Pontianak Gembala Baik High School. Whereas in the use of language, Gembala Baik High School students are said to be bilingual because mastery of the first language and second language is equally good. The method used in this study is a descriptive method using SPEAKING analysis from Hymes. Of the 14 data, there are 36 words which are included in the field of language of phonology. In addition to the phonological level, there is also a clause at the semantic level, as well as mixed code out in the form of fragments of words, phrases, and clauses in English and Chinese. Whereas insertion in Chinese includes words, phrases and clauses. There is an event of code mixing in the form of inserting words in Javanese. Code switching is in phrases in English and Chinese as well as sentence code switching. And code switching in the field of phonology. Interference in the field of phonology, fields of morphology, interference in the field of syntax, and semantic field interference, as well as lexical field interference. There are 19 data visual integration, 7 data integration direct translation, and 2 integration concept translation.Keywords: code mixing, code switching, interference and integration
Perbandingan Algoritma Random Forest Classifier, Support Vector Machine dan Logistic Regression Clasifier Pada Masalah High Dimension (Studi Kasus: Klasifikasi Fake News) Willy, Willy; Rini, Dian Palupi; Samsuryadi, Samsuryadi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3177

Abstract

Fake news is false information that looks like it is true. News can also be said as a political weapon whose truth cannot be accounted for which is spread intentionally to achieve a certain goal. Classification of news texts requires calculating a method for each word in the document. Each word processed per document means that the number of data dimensions is equal to the number of words. The more the number of words in a document, the more the number of dimensions in each data (high dimension). The large number of dimensions (high dimension), causes the model-making process (training) to be long and the shortcomings are also clearly visible in seeing the similarity of documents (document similarity). The dataset used in this study amounted to 20000 and 17 attributes. The method used in this study uses a Random Forest Classifier (RFC), Support Vector Machine (SVM) and Logistic Regression (LR) with high dimensions and the results of this study are to obtain a comparison of the accuracy values for each method used
Perancangan Sistem Informasi Monitoring Dosen Pembimbing Mahasiswa Kerja Praktek (KP) Willy, Willy; Firnando, Ricy; Gumay, Naretha Kawadha Pasemah; Marjusalinah, Anna Dwi; Ariani, Ardina; Febriady, Mukhlis
Generic Vol 16 No 1 (2024): Vol 16, No 1 (2024)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/generic.v16i1.179

Abstract

Ilmu Pengetahuan dan Teknologi saat ini begitu pesat dalam perkembangannya, tidak terkecuali dalam bidang dunia digital, dalam hal ini ketua jurusan dan Koordinator program studi bahkan wakil dekan bidang akademik sangat kesulitan untuk memonitoring mahasiswa yang melakukan bimbingan akademik dan konsultasi kerja praktek. Bahkan sangat banyak kasus tidak mengetahui perkembangan dan keaktifan mahasiswa terhadap dosen pembimbing dan juga kurangnya informasi berapa sering mahasiswa tersebut melakukan mimbingan terhadap dosen pembimbing akademik sampai mahasiswa tersebut melakukan kerja praktek, sehingga dibutuhkan sebuah sistem informasi untuk memonitoring antara dosen pembimbing akademik terhadap mahasiswa dengan menggunakan metode agile, sehingga informasi tersebut dapat menjadi acuan oleh para pimpinan. Hasil penelitian akan menjadi acuan untuk membangun sistem informasi yang diharapkan dapat membantu proses monitoring antara dosen pembimbing dan mahasiswa.
Perancangan Webiste EXP.CAN dalam Pencarian Resto di Palembang Firnando, Ricy; Willy, Willy; Kawadha Pasemah Gumay, Naretha; Marjusalinah, Anna Dwi; Ariani, Ardina
Generic Vol 16 No 2 (2024): Vol 16, No 2 (2024)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/generic.v16i2.191

Abstract

Dalam era digital yang semakin berkembang, kebutuhan akan akses informasi yang cepat dan tepat menjadi semakin penting, terutama dalam menjelajahi ranah kuliner. Palembang, sebagai salah satu kota dengan kekayaan kuliner yang melimpah, membutuhkan platform yang tidak hanya memudahkan para penggunanya dalam menemukan tempat makan berkualitas, tetapi juga memperkaya pengalaman kuliner mereka. Itulah mengapa Explore CAN (EXP.CAN) hadir sebagai solusi yang memadukan kepraktisan dan keberagaman dalam satu platform. Dengan menggabungkan teknologi dan kecanggihan pencarian, EXP.CAN memungkinkan pengguna untuk menemukan tempat makan terbaik di Palembang dengan mudah dan cepat. Fitur-fitur seperti filter untuk mencari tempat makan berdasarkan berdasarkan abjad dan lokasi memungkinkan pengguna untuk menyaring pilihan mereka sesuai dengan preferensi dan keinginan. Tak hanya itu, kemampuan untuk membaca ulasan dari pengguna lain juga memberikan wawasan yang berharga dalam memilih tempat makan yang tepat sesuai dengan selera dan kebutuhan.
FAKTOR-FAKTOR YANG MEMENGARUHI BRAND LOYALTY PENGGUNA LAPTOP ASUS DI KOTA BEKASI WILLY, WILLY; SUTRISNO, NUNO
E-Jurnal Manajemen Trisakti School of Management (TSM) Vol. 4 No. 4 (2024): E-Jurnal Manajemen Trisakti School of Management (TSM)
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Sekolah Tinggi Ilmu Ekonomi Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34208/ejmtsm.v4i4.2671

Abstract

This research was conducted with the aim of finding out the influence of Satisfaction, Trust, Inertia, and Commitment on Brand Loyalty among Asus laptop users in Bekasi City. The data collection technique used in this research is a survey, where data analysis uses quantitative research using a causal research design. The sampling method is non-probability sampling, with purposive sampling technique. Where a five-point Likert scale is used for each measurement. This study uses primer data, with 140 responses to the total sample collected by distributing questionnaires using SPSS 25 (Statistical Program for Social Science). The analysis of data method used is multiple linear regression. It is hoped that this research can provide input to IT companies, especially Asus, which is the object of this research, so that they can increase their market share in the IT industry in Indonesia.
ANALISIS KESUKSESAN PADA APLIKASI TRANSPORTASI ONLINE DARI PERSPEKTIF PENGGUNA Willy, Willy; Amrizal, Amrizal
Computer Based Information System Journal Vol. 13 No. 1 (2025): Jurnal CBIS
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v13i1.9497

Abstract

This study aims to measure the success of the Go-Jek application from a user perspective using the Information System Success Model (ISSM) by DeLone & McLean. Go-Jek, as a pioneer of online transportation in Indonesia since 2010, offers various features that simplify people's daily activities. Using the ISSM approach, this study evaluates six main factors: information quality, system quality, service quality, usage intention, user satisfaction, and net benefits. Data were collected through questionnaires distributed to 100 respondents in Batam City and Tanjungpinang. The analysis results show that information quality, system, and service have a significant influence on user satisfaction. Users feel helped by the ease of application, simple language, and responsive service offered by Go-Jek. In addition, user satisfaction is shown to be a key determinant of reuse intentions, which directly affects the net benefits for users and the company. Go-Jek's success is also supported by continuous innovation in improving user experience. This research provides important insights for PT Go-Jek in developing better technology-based services, while contributing to the literature related to information systems evaluation. This research confirms that the quality of information, systems, and services are key factors that must be continuously improved to maintain user satisfaction and loyalty.
IMPLEMENTASI ALGORITMA K-MEANS UNTUK CLUSTERING DATA PENYANDANG MASALAH KESEJAHTERAAN SOSIAL DI WILAYAH SUMATERA UTARA Tambunan, Daniel Partogi; Willy, Willy; Fertomedis, Ridho Lukas; Mujahid, Putra Edi
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.1802

Abstract

Penyandang Masalah Kesejahteraan Sosial (PMKS)are community groups facing difficulties in meeting basic life needs due to factors such as poverty, disability, drug dependence, and disasters. In North Sumatra Province, the distribution of PMKS varies significantly across regions, requiring targeted and region-specific social policies. This study aims to cluster 33 districts/cities based on the number and types of PMKS in 2022 using the K-Means algorithm. This method was selected for its effectiveness in uncovering patterns from complex datasets. The clustering process involved multiple iterations until convergence, and the results were validated using RapidMiner. The findings reveal three clusters: Cluster 1 (two regions) with a high level of PMKS, Cluster 2 (six regions) with a moderate level, and Cluster 3 (25 regions) with a low level. Regions with high PMKS levels, such as Batu Bara and Karo, show dominance in categories like extreme poverty, disability, and socially vulnerable women. The results provide a clearer picture of social welfare conditions across the region and serve as a valuable reference for designing more focused and efficient social welfare policies tailored to regional needs.
Optimizing Coastal Tourism at Biru Sehati Beach, Tanjung Piayu through Development Facility Nursyamsu, Lathifa; Murtiono, Hendro; Savana, Julfa Sindy; Willy, Willy; Laada, Arnita Fetiyani Sangadji; Belinda, Raden Indri Atika
Conference on Business, Social Sciences and Technology (CoNeScINTech) Vol. 5 No. 1 (2025): Conference on Business, Social Sciences and Technology (CoNeScINTech)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/conescintech.v5i1.10470

Abstract

Biru Sehati Beach is a coastal tourist destination located in the Kampung Tua of Tanjung Piayu. This area has a unique characteristic with a hill in the middle of its land. However, there are several natural tourism potentials that have not been developed, and existing facilities are only provided functionally and do not have added value as a tourist attraction. This study aims to determine what facilities are already available in the coastal tourist area of Kampung Tua of Tanjung Piayu and what facilities are expected and need to be provided in the future based on tourist needs. The research method used is a qualitative-descriptive method with an observational approach to collect data related to what facilities are already available and a semi-structured direct interview method to determine the needs of tourists who are not yet available. The results of the study indicate that the shaded area on the beach which is a favorite area for tourists when visiting is not yet sufficient to meet the increasing demand of tourists during peak times, there is no dedicated area for parking, and the hilly area is not yet developed. Based on the results of the study, researchers found that the number of shaded areas with the addition of trees is needed to maintain the natural impression of the beach, the construction of a dedicated parking area, and the hilly area is developed to be used as a place to relax.spot photos, andactive movement areaas an additional variation of recreational activities.