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All Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Buana Informatika Journal of Degraded and Mining Lands Management TRANSISTOR Elektro dan Informatika Jurnal Ilmu Ekonomi dan Pembangunan Warta Penelitian Perhubungan Economics and Finance in Indonesia Indonesian Journal of Community Services Wayang Nusantara: Journal of Puppetry Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Sosiohumaniora Kodepena (JSK) Community Empowerment International Journal of Business, Law, and Education International Journal of Management Science and Information Technology (IJMSIT) Indonesian Journal of Health Information Management (IJHIM) East Asian Journal of Multidisciplinary Research (EAJMR) PELS (Procedia of Engineering and Life Science) ASMAT: Jurnal Pengabmas International Journal of Health Science (IJHS) Journal of Islamic Business Management Studies (JIBMS) Prosiding Seminar Riset Mahasiswa Indo-Fintech Intellectuals: Journal of Economics and Business Gema Kesehatan Jurnal Rekayasa Sistem Informasi dan Teknologi IIJSE Journal of Economics, Business, Accounting and Management Management Studies and Business Journal Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Digital IJETH Media Penelitian dan Pengembangan Kesehatan Edusight Jurnal Pengabdian Masyarakat (EduJPM) Journal of Sharia Economy and Islamic Tourism Warta Penelitian Perhubungan
Sri Mulyono
APIKES Mitra Husada Karanganyar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Other

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Analysis of Marketing Mix Implementation on Purchasing Decisions for Skintific Skincare Products (Survey of the Community in Jabodetabek) Wahyudi, Muhammad Aria; Mulyono, Sri
International Journal of Business, Law, and Education Vol. 5 No. 2 (2024): International Journal of Business, Law, and Education
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v5i2.613

Abstract

This research investigates the impact of marketing mix implementation on purchasing decisions for Skintific Skincare Products among consumers in the Jabodetabek region. A quantitative research design was employed, surveying 200 respondents to gather insights into consumer preferences, brand perceptions, pricing influences, and marketing mix synergies. Results indicate that product quality and competitive pricing emerged as significant determinants of consumer satisfaction, brand loyalty, and purchase intention. Furthermore, correlations between marketing mix elements such as product quality, pricing, distribution channels, and promotional activities underscored their collective influence on consumer behavior and brand positioning. The findings offer strategic recommendations for Skintific to enhance market performance, sustain competitive advantage, and drive long-term success in the skincare industry.
Influence of Digital Marketing, Consumer Trust, and Brand Loyalty on Purchase Intention (Case Study of Green Product Consumers) Desembrianita, Eva; Mulyono, Sri; Putra, Wira Pramana; Tarjono, Tarjono
International Journal of Business, Law, and Education Vol. 5 No. 2 (2024): International Journal of Business, Law, and Education
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v5i2.775

Abstract

This study explores the influence of digital marketing, consumer trust, and brand loyalty on purchase intention in the context of green product consumers. Utilizing a sample of 248 respondents and employing SmartPLS for data analysis, the research reveals significant positive relationships between the constructs. Digital marketing significantly impacts purchase intention, consumer trust, and brand loyalty, highlighting the importance of effective digital strategies in promoting green products. Consumer trust and brand loyalty are also found to be critical in driving purchase intentions. The findings underscore the need for companies to invest in transparent, ethical, and engaging digital marketing efforts to build long-term consumer relationships and promote sustainable consumption. This study contributes to the literature on green marketing and provides actionable insights for practitioners aiming to increase the adoption of green products.
PENGOLAHAN AIR SUMUR GALI YANG TERCEMAR BESI (FE) DAN MANGAN (MN): STUDI KASUS DI KELURAHAN KOYA TIMUR, KOTA JAYAPURA Pamungkas, Akbar Ilham; Walukow, Auldry F.; Medyati, Novita; Mulyono, Sri; Mofu, Renold
Media Penelitian dan Pengembangan Kesehatan Vol. 33 No. 3 (2023): MEDIA PENELITIAN DAN PENGEMBANGAN KESEHATAN
Publisher : Poltekkes Kemenkes Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34011/jmp2k.v33i3.1718

Abstract

Clean water quality is influenced by groundwater pollution, this pollution results in a decrease in water quality so that it does not meet health requirements. The clean water quality standards are 0.2 mg / l for Fe and 0.1 mg / l for manganese. The city of Jayapura itself common pollution is iron (Fe) and manganese (Mn) in addition to other physical and chemical criteria. This pollution is because the soil in Jayapura tends to be swampy and calcareous. The study aimed to treatment of dug well water contaminated with Fe and Mn by bubble aerator method, electrolysis, and ion changer case study of community wells in East Koya Village, Jayapura City. This study used pure experiments of three treatments, namely bubble aerator, electrocoagulation, and ion changer with purposive sampling techniques. Test analysis using one-way Anova followed by Post Hoc test. The variant homogeneity test showed a p-value of 0.049 while the One-Way Anova test showed a significant difference in iron and manganese after treatment with a p-value of 0.000. However, what is effective in treatment iron and manganese contamination according to drinking water and clean water quality standards in accordance with Indonesian Minister of Health Regulation No. 2 of 2023 is an ion changer with a filtration duration of 90 minutes with an effectiveness in reducing Fe by 99.83% and Mn by 97%, while bubble aerators are only effective in treatment Mn filtration for 90 minutes with a decrease of 99%. The study concluded treatment of dug well water contaminated with Fe and Mn in accordance with clean water and drinking water quality standards is an ion changer.
PEMBUATAN LANSKAP FANTASI BERBASIS DIFFUSION MODELS DENGAN FINE-TUNING LOW-RANK ADAPTATION (LoRA) Gholib, Tsabit; Mulyono, Sri
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 2 No. 3 (2025): Februari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jrsit.v2i3.1883

Abstract

Penelitian ini bertujuan untuk mengembangkan model generatif berbasis diffusion models dalam menghasilkan gambar lanskap fantasi dari deskripsi teks. Metode penelitian yang digunakan meliputi studi literatur, pengumpulan dataset, preprocessing dataset, pelatihan model, serta pengujian dan evaluasi model. Studi literatur dilakukan untuk memahami konsep diffusion models, pemetaan teks ke gambar, serta teknik fine-tuning yang relevan. Pengumpulan dataset mencakup akuisisi gambar lanskap fantasi dari berbagai sumber daring, serta proses captioning untuk menghubungkan gambar dengan deskripsi teks. Dataset kemudian dibagi menjadi 80% untuk pelatihan dan 20% untuk pengujian. Tahap preprocessing dataset mencakup berbagai teknik augmentasi seperti resize, random resized crop, horizontal flip, color jitter, dan normalization untuk meningkatkan variasi serta kualitas data pelatihan. Model Stable Diffusion 2.1 digunakan sebagai dasar pengembangan, dengan fine-tuning menggunakan Low-Rank Adaptation (LoRA) untuk meningkatkan efisiensi komputasi dan adaptasi terhadap dataset spesifik. Evaluasi model dilakukan menggunakan metrik kuantitatif seperti CLIP-MMD dan FID, serta penilaian kualitatif berbasis analisis visual. Hasil penelitian menunjukkan bahwa model yang telah dilatih mampu menghasilkan gambar lanskap fantasi yang sesuai dengan deskripsi teks, dengan peningkatan akurasi dan detail visual dibandingkan model dasar. Teknik LoRA terbukti efektif dalam meningkatkan spesifikasi visual dengan efisiensi komputasi yang lebih baik. Simpulan, penelitian ini memberikan kontribusi dalam pengembangan model generatif yang lebih adaptif untuk aplikasi text-to-image, khususnya dalam pembuatan lanskap fantasi. Kata Kunci: Diffusion Models, Stable Diffusion, Fine-Tuning, Lora, Text-To-Image, Lanskap Fantasi
IMPLEMENTASI STABLE DIFFUSION DAN FINE-TUNING LOW RANK ADAPTATION UNTUK PEMBUATAN LOGO Mukaromah, Naela; Mulyono, Sri
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 2 No. 3 (2025): Februari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jrsit.v2i3.1885

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem yang mampu menghasilkan logo berdasarkan deskripsi teks menggunakan model Stable Diffusion versi 1.5 dan teknik Fine-Tuning Low Rank Adaptation (LoRA). Studi literatur dilakukan untuk memahami pendekatan terbaik dalam implementasi text-to-image, model stable diffusion, dan metode evaluasi gambar. Dataset yang digunakan terdiri dari 50 gambar logo yang dikumpulkan dari berbagai sumber dan dilengkapi dengan image captioning. Dataset ini kemudian diproses melalui tahap preprocessing yang mencakup resize, standarisasi format, cropping, serta rotation dan flipping untuk meningkatkan variasi data. Pengembangan model melibatkan pelatihan Stable Diffusion 1.5 dengan fine-tuning LoRA, yang memungkinkan model beradaptasi dengan tugas spesifik tanpa memerlukan sumber daya komputasi yang besar. Proses pelatihan dilakukan dengan 400 iterasi untuk menghindari overfitting pada dataset yang terbatas. Pengujian sistem dilakukan dengan menghasilkan gambar berdasarkan teks deskripsi yang sama dengan caption data uji, kemudian dievaluasi menggunakan metrik CLIP-MMD dan Frechet Inception Distance (FID). Hasil penelitian menunjukkan bahwa model yang telah dilatih dapat menghasilkan gambar logo yang sesuai dengan deskripsi teks, dengan nilai CLIP-MMD dan FID yang menunjukkan kesesuaian gambar dengan dataset uji. Penelitian ini berkontribusi dalam pengembangan teknologi AI generatif untuk kebutuhan desain logo bagi pelaku UMKM, sehingga memungkinkan pembuatan logo secara efisien tanpa memerlukan keahlian desain grafis. Dengan penerapan teknik LoRA, penelitian ini juga membuktikan efektivitas fine-tuning dalam meningkatkan performa model generatif dengan sumber daya yang lebih rendah. Kata Kunci: Text-to-Image, Stable Diffusion, LoRA Fine-Tuning, AI Generatif, Evaluasi Gambar
Pengaruh strategi inovasi dan orientasi pasar terhadap keunggulan bersaing dan kinerja perusahaan (studi pada UKM OKE OCE Jakarta) Mulyono, Sri
Journal of Economics, Business, Accounting and Management Vol. 2 No. 1 (2024): Journal of Economics, Business, Accounting and Management
Publisher : CV. Kurnia Grup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61476/v3gm7x78

Abstract

The DKI Jakarta Provincial Government program, OK OCE (One District, One Entrepreneurship Center), was pioneered by Anies Baswedan and Sandiaga Uno. The aim is to assist micro, small and medium enterprises (MSMEs) in cultivating an entrepreneurial spirit through the Cooperatives and MSMEs Sub-Department. The main objective of this program is to realize an economic mission that prioritizes society, justice, prosperity, quality and broad insight. This research aims to show and analyze three ways in which innovation strategy and market orientation influence the performance of OK OCE SME companies in Jakarta: through competitive advantage, directly and indirectly, through innovation strategy and market orientation. All SMEs partnering with OK OCE in Jakarta are research subjects. Data were analyzed using SEM-PLS. The total research sample was 100 small and medium business owners in OK OCE Jakarta, and the simple random sampling method was used for probability sampling. Based on the findings of this research, (1) Although innovation strategies SMEs in OK OCE Jakarta gain a competitive advantage, this does not directly improve their performance; (2) The increase in the performance of SMEs in OK OCE Jakarta is not a direct result of market orientation, but rather the result of competitive advantage. 3 The increase in the performance of SMEs in OK OCE Jakarta is significantly influenced by innovation strategy and market orientation.
Generator Gambar Karakter Jepang Bergaya Retro Menggunakan Diffusion Models Dan Dreambooth Habibi, Muhammad Syihab; Mulyono, Sri
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 2 No. 3 (2025): Februari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jrsit.v2i3.1845

Abstract

Penelitian ini bertujuan untuk mengembangkan generator gambar karakter Jepang bergaya retro menggunakan diffusion models dengan pendekatan fine-tuning DreamBooth dan regularisasi L2. Model yang digunakan dalam penelitian ini adalah Stable Diffusion v2.1, yang dioptimalkan melalui proses fine-tuning untuk menghasilkan gambar karakter yang sesuai dengan deskripsi teks serta estetika gaya retro. Metode penelitian yang diterapkan mencakup pengumpulan data, pemrosesan dataset, penggunaan alat dan perangkat lunak, pelatihan model generatif, serta evaluasi hasil. Dataset yang digunakan terdiri dari gambar karakter Jepang dengan elemen visual khas seperti ekspresi dinamis, warna pastel, dan pola unik. Dataset dibagi menjadi data pelatihan dan data uji guna mendukung validasi model. Proses pelatihan dilakukan dengan teknik fine-tuning menggunakan DreamBooth serta penerapan regularisasi L2 untuk mengurangi risiko overfitting. Evaluasi model dilakukan dengan menggunakan CLIP Score untuk mengukur kesesuaian gambar yang dihasilkan dengan deskripsi input, serta inspeksi visual untuk memastikan konsistensi atribut visual seperti ekspresi wajah, gaya pakaian, dan elemen dekoratif. Hasil penelitian menunjukkan bahwa fine-tuning dengan DreamBooth dapat meningkatkan kualitas dan akurasi gambar yang dihasilkan. Penggunaan regularisasi L2 membantu mempertahankan variasi visual tanpa mengurangi kesesuaian dengan deskripsi input. Selain itu, eksperimen dengan berbagai parameter seperti inference steps, guidance scale, dan jumlah dataset menunjukkan bahwa peningkatan jumlah dataset serta pengaturan parameter yang tepat dapat menghasilkan gambar dengan kualitas yang lebih baik, lebih stabil, dan lebih sesuai dengan deskripsi yang diberikan. Kata Kunci: Diffusion Models, Stable Diffusion, Dreambooth, Fine-Tuning, Regularisasi L2, Generator Gambar, Gaya Retro, CLIP Score  
Enhancing knowledge and worship quality in Muslim patients with diabetic foot ulcer through DiabetEasy Sadyah, Nur Anna Chalimah; Mulyono, Sri; Satyagraha, Muhammad Thifan
Community Empowerment Vol 10 No 3 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.12642

Abstract

Diabetic foot ulcers are a complication of diabetes mellitus that can reduce the quality of life, particularly in terms of religious practices for Muslim patients in Indonesia. This program aims to improve knowledge and worship quality in Muslim patients with diabetic foot ulcers through the DiabetEasy program. This program consists of digital health education based on an application and practical worship training for relevant participants at Sultan Agung Islamic Hospital, Semarang, Indonesia. This activity showed increased understanding and worship quality after the intervention, from 60% to 90%. This indicates that this program can improve understanding and worship quality for Muslim patients with diabetic foot ulcers. This program can be an alternative option as a simple non-pharmacological therapy in promotive, preventive, and rehabilitative efforts for the management of diabetic foot ulcers.
Digital Marketing: Penerapan Strategi Pemasaran Digital Melalui Media Sosial Instagram Dalam Meningkatkan Penjualan Produk Suncreen Zam-Zam Mulyono, Sri
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 5 No. 1 (2025): Indo-Fintech Intellectuals: Journal of Economics and Business (2025)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v5i1.2784

Abstract

Penelitian ini bertujuan untuk menganalisis penerapan strategi pemasaran digital melalui media sosial Instagram dalam meningkatkan penjualan produk sunscreen. Metode penelitian yang digunakan adalah kualitatif dengan pengumpulan data melalui wawancara dengan perwakilan divisi pemasaran digital perusahaan (Ibu MAD) dan dua konsumen (Ibu FH dan Ibu SE). Hasil penelitian menunjukkan bahwa perusahaan menggunakan beberapa strategi digital marketing, seperti influencer marketing, iklan berbayar, dan konten edukatif, untuk menarik perhatian audiens yang tepat. Target audiens ditentukan berdasarkan analisis data demografi dan interaksi pengikut, serta kolaborasi dengan influencer. Meskipun menghadapi tantangan seperti persaingan ketat, perusahaan mampu mengatasi hal ini melalui kampanye kreatif, konten relevan, dan rekomendasi dari influencer terpercaya, yang terbukti efektif dalam meningkatkan keterlibatan dan kepercayaan konsumen, serta mendorong penjualan produk.
AI POWERED PERSONALIZATION IN MARKETING: BALANCING CUSTOMER ENGAGEMENT AND PRIVACY CONCERNS Mulyono, Sri; Letsoin, Edward Kurniawan Saputra
Management Studies and Business Journal (PRODUCTIVITY) Vol. 2 No. 4 (2025): Management Studies and Business Journal (PRODUCTIVITY)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/nyp86r92

Abstract

The application of artificial intelligence (AI) in marketing strategies has increased rapidly, but there are significant concerns about data privacy that can erode consumer trust. This study aims to explore how AI-based personalization strategies can balance customer engagement and privacy concerns.This study focuses on developing a framework that integrates aspects of technology, consumer behavior, and privacy ethics in the context of digital marketing.This study used the Systematic Literature Review (SLR) approach with the PRISMA protocol to identify and analyze relevant literature. Data were collected from the Scopus and Web of Science databases, with thematic analysis to identify key patterns and themes.The findings suggest that transparency in data usage, user control over personal information, and application of data minimization principles are key strategies for building trust and increasing customer engagement. The study also identifies mediators such as trust and perceived risk that influence the relationship between AI personalization and privacy.These findings make a significant contribution to the development of digital marketing theory and offer practical guidance for marketers to design ethical and effective strategies, which can increase customer loyalty and strengthen long-term relationships.
Co-Authors A. Faroby Falatehan Abdillah, Minan Ade Onny Siagian Aghni Aulia Aziz Ahmad Jalaluddin, Ahmad Ainun Najib Albasri Aliman Aliman Andika, Ardhi Dwi Anwar Arif, Asrianti Aslan Aslan, Aslan Ayomi, Andreas C. Badie'ah, Badie'ah Badieah Assegaf Badie’ah, Badie’ah Baehaqi Bhimo Rizky Samudro, Bhimo Rizky Dedy Arisjulyanto Denpharanto Agung Krisprimandoyo Edward Kurniawan Saputra Letsoin Eva Desembrianita Faisal Danu Tuheteru Gholib, Tsabit Ghufron, G Habibi, Muhammad Syihab Haris, Ibnu Hermawan, Hildan Mulyo Hidayat, Ilham Himawan, Ade Husna Ika Purnama Sari Irawati, Intan Josua Panatap Soehaditama Jusman, Ikhsan Amar Kusuma, Ardhanari H. Mangkusuwondo, Suhadi Markus Mofu, Renald Marzuki . Mofu, Renold Muhammad Muhammad Aria Wahyudi Mukaromah, Naela Mulyani, Wiwiek Nelly Nur Anna Chalimah Sadyah Nuraprila, Shintia Pamungkas, Akbar Ilham Perwitasari, Erni Pratiwi Poetro, Bagus Satrio Waliyo Poetro, Bagus Satrio Waluyo Primadi Candra Susanto Putra, Purniadi Putra, Wira Pramana Putri, Nadira Awalia Rahma, Wilda Rafika Rahmi Rahmi Ramadani, Ika Riansyah, Andi Riziq, Alvin Yusuf Rozi, Muhammad Faris Fahru Sam Farisa Chaerul Haviana Saputra, Didin Hadi Satyagraha, Muhammad Thifan Soedomo, R. Pramono Soedomo, R. Pramono Sri Sugiarsi Suhardi, Muhamad Sulaiman, Noor Suhana Sulfarid, Sulfarid Sumardi . Sungkowati, Sri Suryani . Sutrisnon, Trismianto Asmo Syakhrani, H. Abdul Wahab Syamsuddin, Nurfiani Tarjono, Tarjono Trismianto Asmo Sutrisno Tuheteru, Edy Jamal Vani Aulia Pramesti Wiwin Rahmawati Nurdin Yacob, Azliza Yuliastuti, Hilda Zahrul Fuadi