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Pengaruh Return Investasi terhadap Minat Investor untuk Berinvestasi Saham Menggunakan Aplikasi VOLT Ari Sandi; Afrizawati; Marieska Lupikawaty
Jurnal Terapan Ilmu Ekonomi, Manajemen dan Bisnis Vol. 3 No. 1 (2023): Jurnal Terapan Ilmu Ekonomi, Manajemen dan Bisnis April 2023
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.7845796

Abstract

Penelitian ini bertujuan untuk menelaah kembali pengaruh return investasi terhadap minat investor untuk berinvestasi saham menggunakan aplikasi VOLT. Jenis data yaitu kuantitatif dan sumber data yaitu data primer yang didapat melalui penyebaran kuesioner, jumlah populasi 250 orang investor dan jumlah sampel 154 responden didapat dengan metode slovin. Hasil penelitian ini memperlihatkan bahwa return investasi mempunyai berpengaruh signifikan terhadap minat investor untuk berinvestasi saham menggunakan aplikasi VOLT. Diketahui dari keempat variabel yang termasuk didalam skripsi yaitu : pengetahuan investasi (X1), persepsi kemudahan (X2), literasi keuangan (X3) bahwa faktor yang paling dominan mempunyai pengaruh terhadap minat investor untuk berinvestasi saham menggunakan aplikasi VOLT yaitu return investasi (X4), karena tujuan dari para investor yang berinvestasi saham pada aplikasi VOLT yaitu mendapatkan keuntungan dengan memberikan sebagian modalnya kepada perusahaan untuk dikelola.
Pengembangan Bisnis Pada Home Industry Kue Kering "Rose Cookies" Menggunakan Business Model Canvas Aisyah Cindy Sabila; Yusleli Herawati; Marieska Lupikawaty
Jurnal Terapan Ilmu Ekonomi, Manajemen dan Bisnis Vol. 3 No. 3 (2023): Jurnal Terapan Ilmu Ekonomi, Manajemen dan Bisnis Desember 2023
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10416567

Abstract

The business model has an important character in influencing the ability of the business to increase competition and predetermined business targets. One tool or business model that can be used successfully is the Business Model Canvas (BMC) which focuses on business concepts in realizing business value. This study analyzes the business model used in the Rose Cookies Home Industry and the problems experienced by the home industry when sales fluctuate due to distribution that only relies on Facebook social media and the financial structure is not detailed. The purpose of this research is to grow the home industry of pastries. The method applied in the following research is descriptive qualitative with data collection techniques through direct interviews with home industry entrepreneurs. The results of the following research are evaluating the 9 elements of the Business Model Canvas to increase market activity and financing structures in the cookie home industry. It is hoped that this research can be useful for increasing revenue streams and growing businesses so they can compete in the future. Keywords: Business Model Canvas, Home Industry, Pastry
Optimal Return Analysis Using the Geometric Mean Method from Daily Data of Technology Sector Stocks: Analisis Return Optimal Menggunakan Metode Geometric Mean Dari Data Harian Saham Sektor Teknologi Siti Marenda Siregar; Marieska Lupikawaty; Agung Anggoro Seto
Jurnal Terapan Ilmu Ekonomi, Manajemen dan Bisnis Vol. 5 No. 2 (2025): Jurnal Terapan Ilmu Ekonomi, Manajemen dan Bisnis Agustus 2025
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17420971

Abstract

This study aims to examine the differences in stock returns and identify the most optimal return within the technology sector companies listed in the LQ45 index. The analysis employs two technical indicators, namely the Relative Strength Index (RSI) and the Stochastic Oscillator (SO). The research uses a quantitative approach with a descriptive method. The data consist of daily stock closing prices from April 2024 to March 2025. The sample includes four companies: PT Telkom Indonesia Tbk, PT XL Axiata Tbk, PT Indosat Tbk, and PT Gojek Tokopedia Tbk. Data analysis was conducted through descriptive statistics, normality testing, homogeneity testing, and hypothesis testing using the Kruskal-Wallis method. The results indicate that there is no significant difference in stock returns between the two technical indicators, with a significance value of 0.518, which exceeds the 0.05 threshold—thus, the null hypothesis is accepted. Additionally, based on the Geometric mean calculation, PT Gojek Tokopedia Tbk recorded the highest return on both RSI and SO indicators. These findings suggest that RSI and SO can be used interchangeably in stock return analysis, and PT Gojek Tokopedia Tbk is recommended as the top investment option in the technology sector based on return potential.  
Pemanfaatan Aplikasi Canva dan Google Drive dalam Perancangan Katalog Buku Menu untuk Digitalisasi UMKM: Pengabdian Haris Wilianto; Marieska Lupikawaty; Afrizawati; Tiara Nan Dita
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 5 No. 1 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 5 Nomor 1 (Juli 2026 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v5i1.7493

Abstract

Kegiatan pengabdian ini bertujuan untuk meningkatkan kapasitas mitra dalam merancang katalog buku menu digital dan cetak melalui pemanfaatan aplikasi Canva dan Google Drive pada Bakso Mandja Cabang OPI Palembang. Mitra menghadapi kendala berupa ketiadaan buku menu yang lengkap, terstruktur, dan menarik, serta informasi menu yang tersebar di berbagai platform tanpa sinkronisasi sehingga konsumen kesulitan mendapatkan informasi akurat dan waktu pelayanan menjadi lebih panjang (rata-rata 2-3 menit per transaksi). Metode pelaksanaan terdiri dari tiga solusi utama: (1) pelatihan perancangan katalog buku menu cetak menggunakan Canva selama dua hari, (2) pendampingan pembuatan arsip digital terpusat melalui Google Drive, dan (3) implementasi kode QR sebagai media akses menu digital. Hasil kegiatan menunjukkan bahwa kedua peserta pelatihan mampu mengoperasikan Canva secara mandiri dan menghasilkan desain katalog profesional dengan enam halaman. Arsip digital berhasil tersimpan terpusat dengan struktur folder yang terorganisir dan dapat diakses dari jarak jauh. Seluruh kode QR yang terpasang (9 lembar) berfungsi dengan baik dan berhasil terhubung ke katalog digital. Pengukuran waktu layanan menunjukkan penurunan durasi tanya-jawab menu dari rata-rata 2-3 menit menjadi kurang dari 2 menit per transaksi, atau setara dengan penurunan minimal 20%. Kegiatan ini membuktikan bahwa pemanfaatan Canva dan Google Drive secara terintegrasi efektif dalam mendukung digitalisasi UMKM kuliner.
Competency Mapping of Vocational Education Graduates of South Sumatra Province Based on Leading Industries Using Input-Output Analysis Marieska Lupikawaty; Leni Novianti; Ade Silvia Handayani; M.Arief Rakhman
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 2 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i2.369

Abstract

The alignment between educational and industrial needs is an important factor in driving economic growth and workforce readiness. In South Sumatra Province, vocational high schools and polytechnics play a crucial role in equipping students with the technical and practical skills necessary for employment in key sectors such as plantations, feed, oil and gas, and coal-based industries. However, there is a gap between the competencies offered by educational institutions and the demands of the growing industry, especially in emerging areas such as digital transformation and sustainability. This study aims to map the competence of vocational schools and polytechnics to leading industries in South Sumatra using Geographic Information Systems (GIS) and input-output analysis. GIS is used to analyze the spatial distribution of educational institutions and their proximity to industrial centers, while input-output analysis assesses competency flows into industry-specific needs. Data on educational programs, graduate output, and industry requirements are compiled and analyzed to identify gaps and areas for improvement. The results reveal strong alignment in traditional industries such as rubber, palm oil, and mining, while significant gaps are observed in emerging areas such as green energy and digital technologies. Urban areas such as Palembang were found to have a higher concentration of educational institutions and diverse programs, while rural areas faced limited access to specialized training. The study emphasizes the importance of modernizing curriculum, investing in infrastructure, and encouraging industry-education collaboration to address these gaps.
Perbandingan Akurasi Metode PBV, PER, dan DDM dalam Valuasi Saham Emiten Salim Group Periode 2021-2025 Wira Destiawan; Marieska Lupikawaty; Claudya Nurcahaya
Masip: Jurnal Manajemen Administrasi Bisnis dan Publik Terapan Vol. 4 No. 3 (2026): September: MASIP: Jurnal Manajemen Administrasi Bisnis dan Publik Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/masip.v4i3.1527

Abstract

This study aims to analyze the intrinsic value of stocks using the Price-to-Book Value (PBV), Price-to-Earnings Ratio (PER), and Dividend Discount Model (DDM) methods, as well as to compare the accuracy of these three methods using the Root Mean Squared Error (RMSE) for Salim Group issuers listed on the Indonesia Stock Exchange during the 2021–2025 period. This study employs a quantitative approach with a comparative descriptive analysis method. The research sample consists of six issuers, namely ICBP, INDF, SIMP, IMAS, LSIP, and ROTI. The results show that, based on the DDM method, ICBP, INDF, LSIP, and ROTI are categorized as undervalued, while SIMP and IMAS are categorized as overvalued. Furthermore, the RMSE test results indicate that the DDM method has the highest level of accuracy, with an RMSE value of 1.711, followed by PER at 4.118 and PBV at 7.885. These findings indicate that DDM produces intrinsic value estimates that are closer to the actual values than those produced by PER and PBV. Therefore, DDM is the most accurate method and can serve as a primary consideration in making investment decisions for the issuers examined.
Reaksi Pasar Modal terhadap Program Makan Bergizi Gratis: Studi Peristiwa pada Volatilitas, Aktivitas Perdagangan, dan Abnormal Return Saham Poultry di Indonesia. Rico Surya Ibrano; Esya Alhadi; Marieska Lupikawaty
Journal of Business Economics and Agribusiness Vol. 3 No. 4 (2026): August
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jbea.v3i4.1272

Abstract

Penelitian ini bertujuan untuk menguji pengaruh Garman-Klass Volatility (GKV) dan Trading Volume Activity (TVA) terhadap Abnormal Return (AR), serta peran moderasi dari Program Makan Bergizi Gratis (MBG) pada emiten sektor perunggasan terpilih yang terdaftar di Bursa Efek Indonesia. Penelitian kuantitatif ini menggunakan desain event study dan explanatory research, dengan fokus pada PT Japfa Comfeed Indonesia Tbk (JPFA), PT Charoen Pokphand Indonesia Tbk (CPIN), dan PT Malindo Feedmill Tbk (MAIN). Analisis ini mencakup event window selama 200 hari perdagangan, dari t-100 hingga t+100, di sekitar implementasi kebijakan MBG pada 6 Januari 2025. Data dianalisis menggunakan Moderated Regression Analysis (MRA) dengan Bootstrap Bias-Corrected and Accelerated (BCa) selang kepercayaan 95% berbasis 1.000 replikasi. Hasil penelitian menunjukkan bahwa GKV tidak berpengaruh signifikan terhadap AR, sedangkan TVA berpengaruh positif dan signifikan terhadap AR. Kebijakan MBG tidak memiliki pengaruh langsung yang signifikan terhadap AR dan tidak memoderasi secara signifikan hubungan antara GKV dan AR maupun antara TVA dan AR. Dengan demikian, di antara ketiga emiten sektor perunggasan yang diamati, hanya TVA yang menunjukkan hubungan signifikan secara statistik dengan AR selama periode penelitian. Temuan ini mengindikasikan bahwa aktivitas perdagangan lebih dapat memantulkan reaksi pasar terhadap informasi dibandingkan volatilitas pada saham-saham yang diamati selama periode kebijakan MBG. Namun, temuan ini harus diinterpretasikan dalam konteks ketiga emiten yang diteliti dan event window yang dipilih.