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Pelaksanaan Konsep Ice Power Untuk Meningkatkan Perekonomian Masyarakat Desa Cihambulu, Pabuaran, Subang Rosa Lesmana; Wiwiek Hasbiyah; Yuga Pratama
Jurnal Abdi Masyarakat Humanis Vol 4, No 2 (2023): Jurnal Abdi Masyarakat Humanis
Publisher : LPPM Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/%JAMH.v4i2.29455

Pengabdian Kepada Masyarakat (PKM) ini dilaksanakan guna mengimplementasikan konsep wirausaha terpadu (ice power concept) didalam usaha meningkatkan inovasi pada masyarakat wirausaha di desa Cihambulu, Pabuaran, Subang, Jawa Barat. Objek pengabdian kepada masyarakat ini adalah warga desa Cihambulu, Pabuaran, Subang, Jawa Barat. Metode yang digunakan adalah pelatihan dan penyampaian materi melalui ceramah dan diskusi. Hasil pengabdian ini menciptakan masyarakata wirausaha terpadu didesa Cihambulu, Pabuaran, Subang, Jawa Barat guna meningkatkan perekonomian masyarakat desa Cihambulu, Pabuaran, Subang, Jawa Barat.

Build Entrepreneurial Interest Through PEKA Analysis on Increasing Students Income of Management Study Program Pamulang University Nardi Sunardi; Rosa Lesmana
Jurnal SEKURITAS (Saham, Ekonomi, Keuangan dan Investasi) Vol 6, No 3 (2023): Jurnal SEKURITAS
Publisher : Prodi Manajemen Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/skt.v6i3.30278

The purpose of this study is to determine the influence of PEKA analysis on increasing the income of the students of management study program at Pamulang University, the influence of PEKA analysis on the interest in entrepreneurship of students of management study program at Pamulang University and the influence of interest in entrepreneurship on increasing the income of the students of management study program Pamulang University. This type of research is quantitative. The object of analysis is students of the management study program at Pamulang University for the year of 2022, data were collected through a questionnaire. The analytical method uses SEM analysis and the tool used is lisrel 8.70. The results showed that the PEKA analysis had no effect on increasing the income of the students of management study program Pamulang University, but the PEKA analysis had an effect on increasing the entrepreneurial interest of the students of management study program Pamulang University, and interest in entrepreneurship has no effect on income increasing of the students of management study program Pamulang University

Enhancing Market Trend Analysis Through AI Forecasting Models Rosa Lesmana; Indra Wijaya; Efa Ayu Nabila; Harry Agustian; Sipah Audiah; Adam Faturahman
International Journal of Cyber and IT Service Management (IJCITSM) Vol. 4 No. 2 (2024): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v4i2.162

Accurate market trend analysis is crucial for strategic decision making in industries, yet traditional forecasting models often struggle to provide reliable predictions in rapidly changing environments. This study investigates the application of advanced Artificial Intelligence (AI) models Long Short Term Memory (LSTM), Random Forest, Decision Trees, and Support Vector Machines (SVM) to improve the accuracy and robustness of market forecasting. Data was collected from sources like Bloomberg and Yahoo Finance, encompassing stock prices, economic indicators, and sector specific trends over five years. The models were evaluated using metrics such as Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE) to assess their predictive performance. Results show that AI models, especially LSTM, outperform traditional models like Auto Regressive Integrated Moving Average (ARIMA), offering superior handling of complex temporal dependencies and short term market fluctuations. For instance, LSTM achieved a MAPE of 1.8% and RMSE of 0.045, significantly improving forecast precision over ARIMA. Random Forest and Decision Trees also provided valuable insights into market drivers, adding interpretability to the forecasting process. This research highlights the potential of AI to enhance decision making by offering more accurate, data driven predictions and provides practical guidelines for implementing these models in real world market forecasting. Future research should explore hybrid AI approaches and broader datasets to further enhance forecasting adaptability across diverse market conditions.

Enhancing Market Trend Analysis Through AI Forecasting Models Rosa Lesmana; Indra Wijaya; Efa Ayu Nabila; Harry Agustian; Sipah Audiah; Adam Faturahman
International Journal of Cyber and IT Service Management (IJCITSM) Vol. 4 No. 2 (2024): October
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v4i2.162

Accurate market trend analysis is crucial for strategic decision making in industries, yet traditional forecasting models often struggle to provide reliable predictions in rapidly changing environments. This study investigates the application of advanced Artificial Intelligence (AI) models Long Short Term Memory (LSTM), Random Forest, Decision Trees, and Support Vector Machines (SVM) to improve the accuracy and robustness of market forecasting. Data was collected from sources like Bloomberg and Yahoo Finance, encompassing stock prices, economic indicators, and sector specific trends over five years. The models were evaluated using metrics such as Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE) to assess their predictive performance. Results show that AI models, especially LSTM, outperform traditional models like Auto Regressive Integrated Moving Average (ARIMA), offering superior handling of complex temporal dependencies and short term market fluctuations. For instance, LSTM achieved a MAPE of 1.8% and RMSE of 0.045, significantly improving forecast precision over ARIMA. Random Forest and Decision Trees also provided valuable insights into market drivers, adding interpretability to the forecasting process. This research highlights the potential of AI to enhance decision making by offering more accurate, data driven predictions and provides practical guidelines for implementing these models in real world market forecasting. Future research should explore hybrid AI approaches and broader datasets to further enhance forecasting adaptability across diverse market conditions.

Analisis Promosi, Harga dan Lokasi terhadap Kepuasan Konsumen Melalui Keputusan Pembelian pada Gerai Ritel Modern Alfamart Karawaci Residence Bojong Nangka, Kelapa Dua, Kabupaten Tangerang Abu Amar; Nurmin Arianto; Rosa Lesmana
Journal of Economics and Management Scienties Volume 8 No. 3, June 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v8i3.392

Pertumbuhan ritel modern di Indonesia mendorong persaingan ketat antar jaringan minimarket, seperti Alfamart dan Indomaret, sehingga pemahaman faktor pemasaran menjadi krusial. Tujuan dari penelitian ini adalah untuk menganalisis dampak promosi, harga, dan lokasi terhadap keputusan pembelian pelanggan terkait dengan alasan pembelian mereka di area Alfamart Karawaci Residence, yang terletak di Kabupaten Tangerang. Penelitian menggunakan pendekatan kuantitatif asosiatif dengan 399 responden yang dipilih melalui purposive sampling. Data dikumpulkan melalui kuesioner yang valid dan reliabel, kemudian dianalisis menggunakan SEM-PLS. Hasil penelitian menunjukkan bahwa promosi, harga, dan lokasi berpengaruh positif dan signifikan terhadap keputusan pembelian dan kepuasan konsumen. Harga menjadi faktor paling dominan dalam memengaruhi keputusan pembelian, sedangkan keputusan pembelian berperan utama dalam meningkatkan kepuasan konsumen. Selain itu, keputusan pembelian terbukti memediasi secara signifikan hubungan antara promosi, harga, dan lokasi terhadap kepuasan konsumen. Model memiliki kemampuan prediktif moderat-kuat dengan nilai R² sebesar 0,664 untuk keputusan pembelian dan 0,491 untuk kepuasan konsumen, serta Goodness of Fit sebesar 0,626. Penelitian ini mengimplikasikan bahwa keberhasilan strategi pemasaran dalam mendorong keputusan pembelian akan meningkatkan kepuasan konsumen secara signifikan apabila terdapat keselarasan antara ekspektasi harga dan layanan dengan manfaat nyata yang diterima konsumen selama proses berbelanja.

Analisis Kualitas Layanan, Lokasi dan Customer Engagement, Untuk Meningkatkan Kepuasan Pelanggan Melalui Keputusan Pembelian Pada SPBU Babakan Legok Agustin Indriyani; Kasmad; Rosa Lesmana
Jurnal Adijaya Multidisplin Vol 4 No 03 (2026): Jurnal Adijaya Multidisiplin (JAM)
Publisher : PT Naureen Digital Education

Show Abstract | Download Original | Original Source | Check in Google Scholar

Penelitian ini bertujuan untuk menganalisis pengaruh kualitas layanan, lokasi, dan customer engagement terhadap kepuasan pelanggan melalui keputusan pembelian pada SPBU Babakan Legok. Penelitian menggunakan metode kuantitatif dengan pendekatan Partial Least Squares–Structural Equation Modeling (PLS-SEM), dengan sampel sebanyak 190 responden yang dipilih menggunakan teknik purposive sampling dan data dikumpulkan melalui kuesioner skala Likert. Hasil penelitian menunjukkan bahwa seluruh indikator telah memenuhi kriteria validitas dan reliabilitas, serta kualitas layanan, lokasi, dan customer engagement berpengaruh positif dan signifikan terhadap keputusan pembelian dan kepuasan pelanggan. Selain itu, keputusan pembelian juga berpengaruh positif terhadap kepuasan pelanggan dan terbukti memediasi secara signifikan pengaruh kualitas layanan, lokasi, dan customer engagement terhadap kepuasan pelanggan di SPBU Babakan Legok.

Determinants of Customer Satisfaction in Internet Mobile: Study on College Student Rosa Lesmana; Hamdy Hady; Hari Muharam
International Journal of Islamic Business and Management Review Vol. 3 No. 1 (2023)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/ijibmr.v3i1.621

This study aims to determine and analyze the impact of service quality, price and promotion on customer satisfaction of xl Axiata mobile internet among college students in South Tangerang. The type of research used is descriptive survey and explanatory research with verificative method. The population of the study was students from the three universities with a highest number of students in South Tangerang, the sample used the purposive sampling method by determining the sample size using the general reference of SEM sample, which is 5-10 times the number of indicators according to Hair in Supriyadi, 2014. The sample of 220 respondents. Data collected by questionnaires. The data analyzed with Sturctural Equation Modelling (SEM) and the tools using Lisrel 8.80. The result of the study revealed that service quality had a positive and significant effect on customer satisfaction, price had a positive and significant effect on customer satisfaction and promotion had a positive and significant effect on customer satisfaction, simultaneously service quality, price and promotion have a positive and significant effect on customer satisfaction.

Model Integrasi Financial Technology (Fintech) sebagai Alat Kontrol Anggaran dan Alternatif Akses Permodalan Berbasis P2P Lending OJK pada Pengrajin Sepatu Desa Sukaresmi Kecamatan Tamansari Kabupaten Bogor Priadi Ashari; Rizki Dahlan Ananda; Dzikri Ahmad Fauzy; Yoga Muhamad Sugama; Rachmawaty; Rosa Lesmana
JURPIKAT Vol 7 No 3 (2026)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i3.3283

Pengrajin sepatu di Desa Sukaresmi, Kecamatan Tamansari, Kabupaten Bogor, menghadapi tantangan berupa keterbatasan modal kerja dan lemahnya manajemen keuangan internal, di mana pencatatan anggaran bersifat manual sehingga rentan terjadi ketidakstabilan arus kas. Kegiatan Pengabdian kepada Masyarakat ini bertujuan mengimplementasikan model integrasi Financial Technology sebagai solusi ganda yaitu alat kontrol anggaran digital untuk meningkatkan disiplin keuangan, sekaligus memberikan alternatif akses permodalan legal berbasis P2P Lending terdaftar OJK. Metode yang digunakan adalah Participatory Action Research melalui tahapan sosialisasi literasi keuangan digital, pelatihan penggunaan aplikasi manajemen anggaran, serta pendampingan langsung pengajuan pembiayaan. Hasil kegiatan PKM menunjukkan peningkatan pemahaman literasi finansial secara signifikan. Penggunaan aplikasi kontrol anggaran mampu memotong risiko kebocoran dana operasional, sementara pengenalan P2P lending membuka wawasan pembiayaan modal kerja yang cepat, transparan, dan tanpa agunan konvensional. Kesimpulannya, model integrasi fintech efektif mentransformasi tata kelola keuangan pengrajin sepatu Desa Sukaresmi menjadi lebih akuntabel, adaptif terhadap teknologi digital, serta siap memperluas skala produksi melalui pembiayaan yang inklusif. Kata Kunci: Akses Pemodalan, Fintech, Kontrol Anggaran, P2P Lending OJK, Pengrajin Sepatu

Meningkatkan Daya Saing UMKM Di Kota Tangerang Selatan Melalui Green Marketing Dan Green Financial Rosa Lesmana; Nani Sriyani
JURNAL BISNIS DAN AKUNTANSI UNSURYA Vol. 11 No. 2 (2026): Jurnal Bisnis dan Akuntansi Unsurya
Publisher : Feb Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jbau.v11i2.2152

Penelitian ini bertujuan untuk mengkaji pengaruh penerapan green marketing dan green financial terhadap peningkatan daya saing Usaha Mikro, Kecil, dan Menengah (UMKM) di Kota Tangerang Selatan. Penelitian menggunakan pendekatan kuantitatif melalui metode survei dengan melibatkan 170 pelaku UMKM sebagai responden yang dipilih berdasarkan teknik purposive sampling. Data yang diperoleh dianalisis menggunakan metode Structural Equation Modeling (SEM) dengan bantuan perangkat lunak LISREL 9. Hasil analisis menunjukkan bahwa implementasi green marketing memberikan pengaruh positif dan signifikan terhadap peningkatan daya saing UMKM. Selain itu, green financial juga terbukti memiliki pengaruh positif dan signifikan dalam memperkuat daya saing pelaku usaha. Secara bersama-sama, kedua variabel tersebut berkontribusi secara nyata terhadap peningkatan keunggulan kompetitif UMKM di Kota Tangerang Selatan. Temuan penelitian ini mengindikasikan bahwa pengintegrasian strategi pemasaran berorientasi lingkungan serta pemanfaatan pembiayaan hijau dapat menjadi faktor strategis dalam memperkuat daya saing UMKM sekaligus mendukung terwujudnya pembangunan ekonomi yang berkelanjutan.

STRATEGI PEMASARAN SOSIAL DALAM MENINGKATKAN KESADARAN PENGELOLAAN SAMPAH BERKELANJUTAN DI KELURAHAN BUARAN, KECAMATAN SERPONG Yuyun Nur Sukmawati; Muhamad Yunus Wirawan; Nova Anggraeni; Khoipi Sartika Sari; Mike Sepentri; Yayan Sudaryana; Rosa Lesmana
Indonesian Journal of Engagement, Community Services, Empowerment and Development Vol. 6 No. 2 (2026): Indonesian Journal of Engagement, Community Services, Empowerment and Developme
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ijecsed.v6i2.262

Waste management has become an environmental issue that continues to develop in urban areas, including Buaran Village, Serpong District, South Tangerang City. The high volume of household waste, low public awareness in sorting waste, and limited community-based waste management are the main obstacles in realizing a sustainable environment. This Community Service Program (PKM) aims to increase public awareness through social marketing strategies regarding sustainable waste management. The methods used include field observations, socialization, environmental education, waste sorting training, waste bank campaigns, and community assistance. The results of the activity showed an increase in public understanding of the importance of managing organic and inorganic waste, increased community participation in waste bank activities, and the emergence of collective awareness to maintain environmental cleanliness. Social marketing strategies through educational and participatory approaches are considered effective in changing community behavior towards sustainable waste management

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