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All Journal Jurnal Simetris JURNAL ILMIAH MANAJEMEN & BISNIS CESS (Journal of Computer Engineering, System and Science) JURNAL ILMU MANAJEMEN DAN BISNIS Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Paradigma Jurnal Manajemen Informatika Jurnal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship Dinasti International Journal of Digital Business Management Akrab Juara : Jurnal Ilmu-ilmu Sosial STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE International Journal of Social and Management Studies (IJOSMAS) Jurnal Administrasi Bisnis (J-Adbis) Jurnal Mandiri IT Jurnal Pengabdian Masyarakat Bhinneka Ladang Artikel Ilmu Komputer Jurnal Manajemen, Bisnis dan Kewirausahaan Optimal: Jurnal Ekonomi dan Manajemen
Resti Yulistria
Universitas Bina Sarana Infromatika
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Public Health Social Sciences

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Pelaksanaan Pelayanan Prima Dalam Bidang Parkir Pada Koperasi Karyawan Kementerian Lingkungan Hidup Kehutanan Jakarta Eka Putri Handayani; Resti Yulistria; Rosento Rosento; Dwi Fitriany
Jurnal Administrasi Bisnis Vol. 2 No. 1 (2022): Mei 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jab.v2i1.1157

Abstract

Penelitian ini bertujuan untuk mengetahui pelaksanaan pelayanan prima unit layanan parkir pada koperasi karyawan Kementerian Lingkungan Hidup Kehutanan Jakarta. Perparkiran pada koperasi karyawan Kementerian Lingkungan Hidup Kehutanan Jakarta adalah salah satu jenis usaha dari koperasi Kementrian Lingkungan Hidup dan Kehutanan (KopkarHutan). Untuk melaksanakan pengelolaan perparkiran di gedung manggala wanabakti dengan area yang cukup luas dan jumlah penghuni maupun pengunjung gedung yang cukup ramai, maka diperlukan organisasi yang memadai, mampu dan efektif dalam menyelenggarakan kegiatan pengelolaan perparkiran Penelitian ini dilakukan dengan menggunakan metode kualitatif deskriptif dimana data didapat berdasarkan hasil dari observasi, wawancara, dan studi dokumentasi. Hasil penelitian ini menunjukan bahwa pelaksanaan Pelayanan Prima unit layanan parkir Pada Koperasi Karyawan Kementerian Lingkungan Hidup Kehutanan ini terdiri dari 6 standar pelayanan publik yang dijabarkan sebagai berikut: (1) prosedur pelayanan, prosedur pelayanan sederhana dan mudah dipahami oleh masyarakat; (2) waktu penyelesaian, waktu penyelesaian pasti, karena diinformasikan kepada pengguna; (3) biaya pelayanan, semua biaya penyelesaian pelayanan prima unit layanan parkir pada koperasi karyawan Kementerian Lingkungan Hidup Kehutanan Jakarta sudah sesuai ketentuan yang berlaku; (4) produk pelayanan, produk pelayanan sudah baik dan sesuai dengan keinginan masyarakat; (5) sarana dan prasarana, sarana dan prasarana penunjang masih belum lengkap, sehingga masyarakat masih kurang nyaman dalam proses pelayanan; (6) kompetensi petugas pemberi pelayanan, petugas sudah melayani masyarakat dengan ramah dan adil, serta telah bekerja sesuai bidang keahliannya masing-masing.
Segmentasi, Targeting, dan Positioning terhadap Keputusan Pembelian di Era Digital: Peran Motivasi Konsumen Resti Yulistria; Vanessa Gaffar; Hilda Monoarfa; Ade Sobandi
JURNAL ILMIAH MANAJEMEN & BISNIS Vol 27, No 1 (2026): APRIL - SEPTEMBER 2026
Publisher : UNIVERSITAS MUHAMMADIYAH SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jimb.v27i1.28329

Abstract

Purpose – This study aims to analyze the effect of segmenting, targeting, and positioning on consumer purchase decisions in the digital era, both partially and simultaneously, and to examine the role of consumer motivation as a moderator of that relationship.Methodology – This research adopts a quantitative approach to objectively measure the relationships among variables using numerical data. Data analysis was conducted using Partial Least Squares–Structural Equation Modeling (PLS-SEM), as the constructs of segmentation, targeting, positioning, consumer motivation, and purchase decisions are latent variables and involve moderation effects. Data were collected through an online structured questionnaire survey of 200 consumers who had previously made purchases via digital platforms. Purposive sampling was employed to ensure that respondents had relevant experience with digital marketing activities.Originality/Novelty – The originality of this study lies in its integration of the classical segmenting, targeting, and positioning framework with contemporary digital consumer behavior, particularly by positioning consumer motivation as a moderating variable that deepens the understanding of this relationship.Implications – The findings show that segmentation, targeting, and positioning each have a positive and significant effect on consumer purchase decisions, both partially and simultaneously, and that consumer motivation strengthens the effect of segmentation on purchase decisions. This study provides both theoretical insights and practical implications for the development of more adaptive, consumer-oriented digital marketing strategies.
AI in Financial Forecasting : Improving Accuracy and Strategy M.Mahdi Alatas; Bilgah Bilgah; Eka Putri Hanyani; Resti Yulistria
OPTIMAL Jurnal Ekonomi dan Manajemen Vol. 5 No. 1 (2025): Jurnal Ekonomi dan Manajemen
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/optimal.v5i1.6541

Abstract

Financial forecasting faces growing challenges due to market volatility and the inadequacy of traditional models like ARIMA and linear regression in handling non-linear, high-frequency financial data. Artificial intelligence (AI), particularly models such as long short-term memory (LSTM) networks and transformer-based systems, has demonstrated superior performance in tasks like predicting S&P 500 index movements and assessing corporate credit risk in real time. These models not only improve accuracy but also enable strategic applications—for instance, integrating live sentiment data from financial news to adjust portfolio allocations within milliseconds. AI systems have also been used by investment firms to simulate recession scenarios and guide capital reserve strategies. However, adoption remains hindered by issues such as the “black box” nature of deep learning, inconsistent data quality, and concerns over algorithmic bias. As AI continues to evolve, its value lies not just in forecasting precision but in supporting adaptive, transparent, and forward-looking financial management
Co-Authors A Sobandi Abdullah Khabari Kamil Ainul Zahroh, Siti Amin Setio Lestiningsih Anak Agung Istri Sri Wiadnyani Andi Riyanto Apip Supiandi Bilgah Bilgah Dasya Arief Firmansah Dede Suleman Desi Susilawati Desi Susilawati Dicki Prayudi Dwi Fitriany Eka Putri Handayani Eka Putri Hanyani Eulin Karlina Eva Marsusanti Hadi Wibowo Hadi Wibowo Hasta Herlan Asymar Helmy Ivan Taruna Hilda Monoarfa Imelda Sari Indah Ayulestari Indria Widyastuti Isnurrini Hidayat Susilowati Ita Yulianti Jamal Maulana Hudin Khotimah Herliana Lukman Hakim M.Mahdi Alatas Marusanti, Eva Mohammad Amas Lahat Murtari, Novita Rina Mustakimm, Robi Nandya Ayu Fatmandini Nur Islamiyati Nurhayaty, Ety Nurmalsari, Tiara Nursanty, Stefany Nurzalinar Joesah Putri Handayani, Eka R Sri Rastra Raden Ati Haryati Renny Oktapiani Rifa Nurafifah Syabaniah Rizal Amegia Saputra Rosento Roy Irawan Ruhimat, Dede Rusli Nugraha Satia Suhada, Satia Siti Aulia Siti Maesaroh Siti Nazmah Susilawati Susilawati Syifa Nur Fitria Syifania Salma Muazzarah Tya Septiani Nurfauzia Koeswara Vanessa Gaffar Veithzal Rivai Zainal Vera Agustina Yanti Vina Islami Willy Cahya Sundara Wiwin Wianti, Wiwin Yohanes Totok Suyoto Yuliana Saridewi Kusumastuti Yuniarti, Puji Yusti Farlina Zahra Zahra Zulkifli Zulkifli