Abstract:This research was conducted in the Food and Beverage sector companies listed on the Indonesia Stock Exchange during the period 2017-2021 with the title "Analysis of Activity, Liquidity, and Solvency on Profitability in Food…
ood and Beverage Companies Listed on the Indonesia Stock Exchange (IDX) Period 2017-2021." The data used in this study is quantitative data from secondary sources. The sample was selected using purposive sampling based on specific criteria, with 27 companies selected as samples, making a total of 135 companies studied from the period 2017-2021. The research technique used was multiple linear regression analysis.Partially, the findings of this research state that: 1) Activity has a positive and significant effect on profitability, indicated by a significant value of 0.052 ≤ 0.05 and a t-value of 1.963 > 1.65648. 2) Liquidity has a positive and significant effect on profitability, with a significant value of 0.044 ≤ 0.05 and a t-value of 2.038 > 1.65648. 3) Solvency has a positive and significant effect on profitability, with a significant value of 0.000 ≤ 0.05 and a t-value of 18.944 > 1.65648. 4) Simultaneously, activity, liquidity, and solvency have a positive and significant effect on profitability, as indicated by a significant value of 0.000 < 0.05 and an F-value of 147.949 > 3.07. The determination test shows that 76.7% of the variations in activity, liquidity, and solvency affect profitability, while 23.3% (100% - 76.7%) is influenced by other factors beyond the independent variables studied in food and beverage companies listed on the IDX from 2017 to 2021.
Abstract:The purchase decision is the main goal or purpose of selling a product. This study aims to analyze the influence of marketing experience, price and brand trust on purchasing decisions. This study was conducted using a descriptive…
scriptive quantitative research method with data collection using a research tool in the form of questionnaires distributed directly to respondents. The subjects of this study include consumers who purchased Jotun brand paint products from CV. Asia Maju Rantauprapat during the period specified by the author. Determining the sample size used the purposive sampling technique with a total of 65 consumers. To analyze and analyze the research data, it was carried out using the computer program SPSS version 20 with instrumental testing, classical hypothesis testing, multiple regression analysis and hypothesis testing. Research results show that marketing experience, price and brand trust have a positive and significant impact on purchasing decisions. At the same time, marketing experience, price and brand trust have a positive and significant impact on purchase decisions with a contribution of 0.888 or 88.80% and the remaining 11.20% is influenced by other factors. Other factors were not considered in this study.
Abstract:In the era now, the rapid development of technology makes people use the internet. E-commerce players use the internet as a digital marketing medium. One of the e-commerce that developed at that time was Bukalapak. This…
study aims to determine the effect of trust and ease of use of applications on purchasing decisions on the Bukalapak site in East Lombok. The method used in this research is associative method and the type of data used is quantitative data. The population of this study were all people who used the Bukalapak application in East Lombok. Determination of the sample using Non-Probability Sampling with a total of 75 respondents. The data analysis method uses validity test, reliability test, classical assumption test, hypothesis testing and multiple linear regression. The results of this study indicate that the trust variable has a positive and significant influence on purchasing decisions The Ease-of-Use variable has a positive and significant influence on purchasing decisions.
Abstract:The growth of coffee shop businesses in Indonesia faces significant challenges, particularly for small and medium enterprises (SMEs) that often encounter limitations in business management, marketing, and technology adoption.…
tion. This community engagement initiative aims to assist the "Latimojong" coffee shop in addressing these issues through the implementation of the Business Model Canvas (BMC) integrated with Internet of Things (IoT) technology. The activities were conducted through an interactively designed socialization process, including material presentation, discussions, and mentorship. Pre-test results indicated that participants' initial understanding averaged 36%, highlighting the need for capacity building in business management. Following the socialization, the post-test scores significantly improved, averaging 87%, representing a 141.67% increase. This improvement reflects the success of the socialization program in enhancing participants' understanding. Through this initiative, the "Latimojong" coffee shop was able to formulate a more strategic and efficient business model, strengthening its competitiveness in the local market. The implementation of IoT technology and social media-based digital marketing positively impacted operational efficiency and customer experience. This Community Engagement initiative serves as a replicable model for technology-based SME empowerment, potentially supporting sustainable local economic growth.
Abstract:Upah merupakan hak dasar pekerja yang wajib dilindungi, baik dalam perspektif hukum positif maupun hukum Islam. Penelitian ini bertujuan mengkaji konsep ijarah bi al-’amal dalam hukum Islam sebagai landasan filosofis perlindungan…
erlindungan upah pekerja, serta membandingkannya dengan pengaturan pengupahan dalam Undang-Undang Ketenagakerjaan di Indonesia. Metode yang digunakan adalah yuridis normatif dengan pendekatan perundang-undangan (statute approach), pendekatan konseptual, dan pendekatan perbandingan hukum (comparative approach). Bahan hukum diperoleh melalui studi kepustakaan atas Al-Qur’an, hadis, kitab-kitab fikih muamalah, peraturan perundang-undangan, serta jurnal hukum mutakhir, yang selanjutnya dianalisis secara deskriptif-kualitatif. Hasil penelitian menunjukkan bahwa konsep ijarah bi al-’amal menempatkan upah sebagai hak yang harus dipenuhi secara adil, proporsional, dan tepat waktu, sebagaimana ditegaskan dalam Al-Qur’an Surah At-Talaq ayat 6, Surah Al-Qashash ayat 26-27, dan hadis riwayat Ibnu Majah. Prinsip tersebut memiliki keselarasan nilai dengan semangat Undang-Undang Nomor 13 Tahun 2003 tentang Ketenagakerjaan sebagaimana diubah dengan Undang-Undang Nomor 6 Tahun 2023 tentang Cipta Kerja serta Peraturan Pemerintah Nomor 36 Tahun 2021 tentang Pengupahan, meskipun keduanya berbeda pada aspek sumber otoritas, mekanisme penetapan upah minimum, dan bentuk sanksi. Penelitian ini merekomendasikan agar nilai-nilai ijarah bi al-’amal, khususnya prinsip maqashid syariah, diintegrasikan sebagai basis etik dalam pembaruan kebijakan pengupahan nasional, terutama untuk melindungi pekerja pada sektor informal dan ekonomi gig yang belum sepenuhnya terjangkau oleh regulasi ketenagakerjaan formal.
Wages are a fundamental right of workers that must be protected, both from the perspective of positive law and Islamic law. This study aims to examine the concept of ijarah bi al-’amal in Islamic law as a philosophical foundation for wage protection, and to compare it with wage regulations under Indonesia’s Manpower Law. The results show that ijarah bi al-’amal positions wages as a right that must be fulfilled fairly, proportionally, and in a timely manner, as affirmed in the Quran Surah At-Talaq verse 6, Surah Al-Qashash verses 26-27, and the hadith narrated by Ibn Majah. This study employs a normative legal method with statutory, conceptual, and comparative approaches, examining legal materials from the Quran, hadith, classical fiqh literature, statutory regulations, and recent legal journals. The findings reveal that the principles of ijarah bi al-’amal align with the spirit of Law Number 13 of 2003 on Manpower as amended by Law Number 6 of 2023 on Job Creation and Government Regulation Number 36 of 2021 on Wages, although they differ in terms of the source of authority, minimum wage determination mechanisms, and forms of sanctions. This study recommends integrating the values of ijarah bi al-’amal, particularly maqashid syariah principles, as an ethical basis for reforming national wage policy, especially to protect informal and gig-economy workers not yet fully covered by formal labor regulations.
Abstract:Abstract: The selection of pediatric cough medicine at Apotek Keluarga is currently subjective and highly dependent on the pharmacist's experience, which potentially leads to inconsistent recommendations for customers. This…
his research aims to develop a Decision Support System (DSS) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to provide objective, fast, and accurate drug recommendations. The assessment criteria used in this system include cough type, side effects, age, and drug price, which are adjusted to clinical needs and consumer preferences. TOPSIS was chosen for its ability to rank drug alternatives based on their relative closeness to the positive ideal solution and the farthest distance from the negative ideal solution. The system development process involved problem identification, literature study, and data collection through interviews and direct field observations. The results indicate that the implementation of the TOPSIS method is effective in producing a list of cough medicine recommendations tailored to the specific conditions of pediatric patients. With this web-based system, the drug selection process becomes more transparent, systematic, and efficient, thereby enhancing the quality of pharmaceutical services at Apotek Keluarga.
Keywords: Decision Support System, TOPSIS, Pediatric Cough Medicine, Apotek Keluarga.
Abstrak: Pemilihan obat batuk anak di Apotek Keluarga saat ini masih bersifat subjektif dan sangat bergantung pada pengalaman apoteker, sehingga berpotensi menimbulkan ketidakkonsistenan dalam pemberian rekomendasi kepada pelanggan. Penelitian ini bertujuan untuk mengembangkan Sistem Pendukung Keputusan (SPK) menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) guna memberikan rekomendasi obat secara objektif, cepat, dan akurat. Kriteria penilaian yang digunakan dalam sistem ini meliputi jenis batuk, efek samping, usia, dan harga obat, yang disesuaikan dengan kebutuhan klinis serta preferensi konsumen. Metode TOPSIS dipilih karena kemampuannya dalam meranking alternatif obat berdasarkan kedekatan relatif terhadap solusi ideal positif dan jarak terjauh dari solusi ideal negatif. Proses pengembangan sistem dilakukan melalui tahapan identifikasi masalah, studi literatur, serta pengumpulan data melalui wawancara dan observasi langsung di lapangan. Hasil penelitian menunjukkan bahwa penerapan metode TOPSIS efektif dalam menghasilkan urutan rekomendasi obat batuk yang paling sesuai dengan kondisi spesifik pasien anak. Dengan adanya sistem berbasis web ini, proses pemilihan obat menjadi lebih transparan, sistematis, dan efisien, sehingga mampu meningkatkan kualitas pelayanan farmasi di Apotek Keluarga.
Kata kunci: Sistem Pendukung Keputusan, TOPSIS, Obat Batuk Anak, Apotek Keluarga.
Abstract:Abstract: (GIS) application to map the locations of gambier warehouses in Koto XI Tarusan District, Pesisir Selatan Regency. The background of this study is the absence of a reliable information system that can provide accurate…
ccurate spatial data and details about the locations of gambier warehouses. This lack of information often hinders farmers, consumers, and local authorities in accessing and managing data effectively. The application was developed using ArcGIS technology, Java programming language, and Android Studio. Data collection was conducted through field observation and interviews with warehouse owners. The result of this study is an interactive map-based application that simplifies the process of locating gambier warehouses and presents visual data to support strategic decision-making. This application is expected to enhance distribution efficiency and contribute positively to the economic welfare of the local community.
Keywords: geographic information systems; arcgis; kotlin
Abstrak: Penelitian ini bertujuan untuk membangun sebuah aplikasi Sistem Informasi Geografis (SIG) berbasis Android yang dapat memetakan lokasi gudang gambir di Kecamatan Koto XI Tarusan, Kabupaten Pesisir Selatan. Latar belakang dari penelitian ini adalah belum tersedianya sistem informasi yang mampu memberikan data spasial dan informasi yang akurat mengenai letak gudang gambir, sehingga menyulitkan petani, konsumen, maupun pihak pemerintah dalam mengakses dan mengelola informasi tersebut. Dalam proses pengembangan aplikasi ini digunakan teknologi ArcGIS, bahasa pemrograman Java, dan Android Studio. Metode pengumpulan data dilakukan melalui observasi langsung dan wawancara dengan pemilik gudang. Hasil dari penelitian ini adalah sebuah aplikasi yang mampu menampilkan peta interaktif lokasi gudang gambir, mempermudah pengguna dalam pencarian informasi lokasi, dan memberikan data visual yang mendukung pengambilan keputusan strategis. Aplikasi ini diharapkan dapat meningkatkan efisiensi distribusi gambir serta memberikan kontribusi positif terhadap peningkatan kesejahteraan masyarakat lokal.
Kata kunci: sistem informasi geografis; arcgis; kotlin
Abstract:Abstract: This study aims to analyze the influence of gender on user responses to social media strategies on the Instagram platform by utilizing data science techniques. The methodology includes collecting user interaction…
on data based on gender, statistical analysis, and applying machine learning algorithms to identify response patterns. The results reveal significant differences in how male and female users respond to social media content and campaigns, affecting marketing strategy effectiveness. Data science analysis showed that the K-Means Clustering method segmented users into three groups based on interaction patterns, with female users showing the highest engagement rate (18%) compared to male users (12%). The Decision Tree model identified gender as the most dominant predictor of engagement (40%), followed by user growth (25%) and content type (20%). The Random Forest model validated that gender-targeted strategies increased marketing effectiveness by up to 22%. Multivariate regression revealed a positive effect of female user proportion (+0.45) and a negative effect of male user proportion (−0.12) on engagement. In conclusion, a deeper understanding of gender-based response differences can assist companies in designing more targeted social media strategies and enhancing engagement.
Keywords: gender; social media response; instagram; data science; marketing strategy
Abstrak: Penelitian ini bertujuan untuk menganalisis bagaimana pengaruh gender memengaruhi respons pengguna terhadap strategi media sosial di platform Instagram dengan memanfaatkan teknik data sains. Metode yang digunakan meliputi pengumpulan data interaksi pengguna berdasarkan gender, analisis statistik, dan penerapan algoritma machine learning untuk mengidentifikasi pola respons. Hasil penelitian menunjukkan adanya perbedaan signifikan dalam cara pengguna laki-laki dan perempuan merespons konten dan kampanye media sosial, yang berdampak pada efektivitas strategi pemasaran. Analisis data sains menunjukkan bahwa metode K-Means Clustering berhasil mengelompokkan pengguna ke dalam tiga segmen berdasarkan pola interaksi, dengan segmen perempuan menunjukkan tingkat engagement tertinggi (18%) dibandingkan laki-laki (12%). Model Decision Tree mengidentifikasi gender sebagai faktor paling dominan terhadap engagement dengan kontribusi sebesar 40%, disusul oleh pertumbuhan pengguna (25%) dan jenis konten (20%). Random Forest memvalidasi bahwa strategi yang disesuaikan berdasarkan gender meningkatkan efektivitas pemasaran hingga 22%. Regresi multivariat menunjukkan bahwa proporsi pengguna perempuan berkontribusi positif sebesar 0,45 poin terhadap engagement, sedangkan pengguna laki-laki berkontribusi negatif sebesar -0,12. Kesimpulannya, pemahaman mendalam tentang perbedaan respons berdasarkan gender dapat membantu perusahaan dalam merancang strategi media sosial yang lebih tepat sasaran dan meningkatkan engagement.
Kata kunci: gender; respons media sosial; instagram; data sains; strategi pemasaran
Abstract:Abstract: This study aims to review digital literacy as a strategy to prevent cyberbullying in adolescents using the Systematic Literature Review (SLR) approach to research from 2020 to 2024. Cyberbullying, which often occurs…
ccurs verbally, is influenced by the anonymity of the perpetrator and low digital literacy. The results of the study show that digital literacy can increase students' awareness, self-control, understanding of privacy, and empathy in interacting in the digital world. Psychosocial support from family, school, and community is also key in preventing cyberbullying. This study emphasizes the importance of digital literacy as an effective strategy to build responsible attitudes and positive interactions in the digital world.
Keywords: systematic literature review; digital literacy; cyberbullying
Abstrak: Penelitian ini bertujuan untuk meninjau literasi digital sebagai strategi pencegahan cyberbullying pada remaja dengan pendekatan Systematic Literature Review (SLR) terhadap penelitian tahun 2020 hingga 2024. Cyberbullying, yang kerap terjadi secara verbal, dipengaruhi anonimitas pelaku dan rendahnya literasi digital. Hasil penelitian menunjukkan bahwa literasi digital dapat meningkatkan kesadaran, pengendalian diri, pemahaman privasi, serta empati siswa dalam berinteraksi di dunia digital. Dukungan psikososial dari keluarga, sekolah, dan masyarakat juga menjadi kunci dalam mencegah cyberbullying. Penelitian ini menegaskan pentingnya literasi digital sebagai strategi efektif untuk membangun sikap bertanggung jawab dan interaksi positif di dunia digital.
Kata kunci: systematic literature review; literasi digital; cyberbullying
Abstract:Abstract: In this study, an analysis of the use of the Naive Bayes algorithm for sentiment analysis of reviews from Shopee app users on the Google Play Store was conducted, with classification divided into three categories:…
es: positive, negative, and neutral. To improve data quality, a preprocessing process was carried out with stages of cleaning, case folding, normalization, stop word removal, stemming, and tokenizing. Next, the text is formatted using the TF-IDF method to facilitate classification. For this data, the Naive Bayes model is used, which has an accuracy rate of 87% in detecting sentiment. Positive and negative categories can be easily identified compared to neutral sentiments due to the smaller amount of neutral data. Overall, the Naive Bayes algorithm successfully analyzed user sentiments well. The research can be developed with other algorithm methods, such as SVM, K-NN, or Decision Tree, in order to compare the performance of various algorithms.
Keywords: sentiment analysis; naive bayes; user reviews; e-commerce; shopee
Abstrak: Dalam penelitian ini dilakukan analisis penggunaan algoritma Naive Bayes untuk analisis sentimen review dari pengguna aplikasi Shopee di Google Play Store, klasifikasi dibagai menjadi 3 kategori yaitu positif, negatif, dan netral. Untuk meningkatkan kualitas data, dilakukam proses preprocessing dengan tahap cleanimg, case folding, normalisasi, stopword removal, stemming, dan tekonezing. Selanjutnya, teks diformat menggunakan metode TF-IDF untuk memudahkan klasifikasi. Untuk data ini, model Naive Bayes digunakan, yang memiliki tingkat akurasi 87% dalam mendeteksi sentimen. Kategori positif dan negatif dapat dengan mudah diidentifikasi dibadingkan sentiemen netral karena jumlah data netral yang lebih sedikit. Secara keseluruhan, algoritma Naive Bayes berhasil menganalisis perasaan pengguna dengan baik. Penelitian dapat dikembangkan dengan algoritma metode lain, seperti SVM, K-NN, atau Decision Tree, guna membandingkan kinerja berbagai algoritma.
Kata kunci: analisis sentiment; naive bayes; ulasan pengguna; e-commerce; shopee