Garuda - Garba Rujukan Digital

Optimalisasi Keuntungan Penjualan Kopi Tubruk Menggunakan Pemrograman Linier Melalui Metode Simpleks: Studi Kasus Umkm Pada Photongopi Bang Marko Munandar, Zikri Bagas; Haludin, Guntur; Albari, Pascal Kharua; Dhiya’ulhaq, Mufadhal Daffa; adha, Muhamad akmal; Mundzir, Ahmad
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 16 (2024): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13766673

This study aims to optimize the profit of Tubruk coffee sales in Kopi Bang Marko, a small and medium-sized enterprise (SME) in Tangerang Selatan, Indonesia, using linear programming through the simplex method. The research utilizes a combination of observation and interviews to gather data on raw material availability, coffee sales, production processes, and marketing strategies at Kopi Bang Marko. The linear programming model is then formulated based on the observed data, and the simplex method is applied to optimize the production and maximize profits. The optimal solution obtained through the simplex method indicates the ideal quantity of each coffee type to be sold per month, leading to maximum profit. This research contributes to the application of linear programming, specifically the simplex method, in optimizing sales and profits for a traditional Indonesian coffee SME. The findings offer practical insights for SMEs, especially those in the coffee business, on how to strategically plan production to maximize profits. The study may also have implications for policymakers in supporting and promoting the growth of SMEs. The study is limited to the specific case of Kopi Bang Marko in Tangerang Selatan and may not be directly applicable to other contexts without adjustments.

PENINGKATAN DAYA SAING BERBASIS PEMASARAN DIGITAL PADA UMKM KRIYA DI JAWA BARAT: Enhancing Competitiveness through Digital Marketing in Craft MSMEs in West Java Marlina, Lina; Aisyah, Siti; Mundzir, Ahmad
Jurnal Ilmiah Magister Ilmu Administrasi Vol. 18 No. 1 (2024): Jurnal Ilmiah Magister Ilmu Administrasi - JIMIA
Publisher : Universitas Nurtanio Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56244/jimia.v18i1.845

Digitalisasi UMKM di Indonesia tumbuh pesat bahkan melebihi negara tetangga di ASEAN. Namun perkembangan pesat ini tidak diiringi pangsa pasar yang luas. Walaupun digitalisasi membawa manfaat bagi UMKM, tetapi pelaku usaha di Indonesia masih mengalami kendala dalam mengembangkan bisnisnya. Kendala yang paling tinggi adalah kesulitan UMKM dalam memasarkan produknya. Perlu penelitian mendalam tentang daya saing yang dikaitkan dengan perluasan pangsa pasar pada usaha kriya di Jawa Barat. Berdasarkan empirical gap yang terjadi maka tujuan penelitian ini adalah untuk menganalisis daya saing berdasarkan strategi digital marketing. Untuk mengetahui pengetahuan tentang transaksi, program, desain situs, dan interaktif dari pemasaran digital dalam memberikan kontribusi terhadap daya saing pelaku UMKM kriya di Jawa Barat. Metode penelitian menggunakan pendekatan kuantitaif dengan metode deskriptif dan exploratory survey yakni teknik pengumpulan informasi melibatkan sebagian populasi dengan menggunakan kuisioner. Subjek penelitian para pelaku UMKM kriya. Objek peneltian adalah pemasaran digital dan daya saing. Sumber data menggunakan data primer pada pelaku UMKM kriya. Teknik sampling menggunakan rondom sampling. Teknik pengumpulan data dengan kuisioner yang diolah dengan menggunakan alat PLS SEM. Hasil penelitian menunjukan bahwa pemasaran digital berpengaruh pada daya saing untuk dimensi transaksi, desain situs, dan interaktif. Sedangkan program insentif tidak memberikan pengaruh terhadap daya saing.

KOLABORASI ANTAR KOMUNITAS SEKOLAH DALAM PENYUSUNAN MODEL PEMBELAJARAN BERDIFERENSIASI UNTUK MEMUDAHKAN AKSESIBILITAS ANAK BERKEBUTUHAN KHUSUS Mundzir, Ahmad
Jurnal Tawadhu Vol. 8 No. 2 (2024)
Publisher : Universitas Nahdlatul Ulama Al Ghazali Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52802/twd.v8i2.1146

SD Pengebatan Karanglewas memiliki peserta didik yang beragam. Untuk menunjang kesempatan belajar yang sama, SD Pangebatan melakukan implementasi pembelajaran berdiferensiasi dalam berbagai bentuk kegiatan dan pengajaran. Penelitian ini bertujuan untuk mendeskripsikan (1) bentuk kegiatan implementasi pembelajaran berdiferensiasi di SD Pangebatan Karanglewas, dan (2) faktor yang mempengaruhi SD Karanglewas dalam mengimplementasikan model pembelajaran berdiferensiasi. Jenis penelitian ini adalah kualitatif dengan pola penelitian lapangan dan deskriptif. Teknik pengumpulan data menggunakan studi literatur, observasi, wawancara, dan dokumentasi. Subjek dalam penelitian ini terdiri dari kepala sekolah, pendidik, dan pihak lain di SD Pangebatan Karanglewas yang terbagi dalam kategori informan kunci, utama, dan pendukung. Data tersebut kemudian dianalisis melalui proses interaktif dan diuji validitasnya dengan triangulasi data. Hasil penelitian menunjukkan bahwa pengimplementasian model pembelajaran diferensiasi, dalam rangka peningkatan aksesibilitas dan kesetaraan dalam pembelajaran bagi anak berkebutuhan khusus telah berjalan dengan baik. (1) Pengimplementasian model pembelajaran berdiferensiasi di SD Pangebatan Karanglewas dilakukan dalam 3 sesi, meliputi perencanaan, proses, dan evaluasi pembelajaran. (2) Proses implementasi yang telah dilakukan SD Pangebatan Karanglewas tidak lepas dari beberapa faktor yang mempengaruhi meliputi faktor orang tua, lingkungan, dan pendidik.

AI Implementation in Knowledge Management for Online News Media Case Study: GOnews.id Mundzir, Ahmad; Purnama, Diki Gita; Mayasari, Iin
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4995

This study examines the role of artificial intelligence (AI) in enhancing knowledge management in the online news media industry, with a focus on GOnews.id as a case study. The industry faces unique challenges, including real-time information delivery and collaboration among dispersed teams. This research evaluates the impact of AI in addressing these challenges, improving operational efficiency, and enhancing content quality. Using qualitative methods, including in-depth interviews and document analysis, the study applied a thematic approach with NVivo 12 software. The findings reveal that AI facilitates faster information access, supports team collaboration, and maintains journalistic standards through automated editing tools. However, limitations such as high infrastructure costs, employee resistance, and AI's inability to fully grasp local contexts present challenges to its implementation. The study emphasizes the importance of using AI as a supportive tool rather than replacing human creativity and judgment. Key implications include AI's potential to enhance organizational competitiveness and responsiveness to audience trends. Recommendations include investing in robust infrastructure, providing employee training, and ensuring human oversight to balance technological efficiency with editorial nuance. By addressing these issues, the study provides valuable insights for media organizations seeking to optimize knowledge management strategies and offers a framework for leveraging AI to meet the demands of modern digital journalism.

The Meaning of Jilbāb and Khimār in Contextual Interpretation: Integrating Gadamer's Hermeneutics and Ulūm al-Qur'ān Zaman, M. Badruz; Rakhman, Itmam Aulia; Mundzir, Ahmad
QOF Vol. 8 No. 2 (2024)
Publisher : Institut Agama Islam Negeri (IAIN) Keiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/qof.v8i2.1381

This article explores the contextual meaning of jilbāb and khimār in the Qur’an by integrating Hans-Georg Gadamer’s hermeneutics and the classical framework of ‘ulūm al-Qur’ān (the sciences of Qur’anic interpretation). The study addresses the central problem of how verses on jilbāb (Q.S. al-Aḥzāb [33]: 59) and khimār (Q.S. an-Nūr [24]: 31) can be interpreted through the fusion of horizons between text and reader, especially in light of contemporary gender and modesty discourses. Using descriptive-analytical library research, this article draws from primary sources—the Qur’an and Gadamer’s philosophical works—alongside secondary references on tafsir and hermeneutics. The findings reveal that jilbāb and khimār are best understood as protective-preventive measures rooted in both historical context and ethical intentions. Rather than prescribing fixed models of clothing, the Qur’anic injunctions emphasize dignity, modesty, and the social protection of women. By applying Gadamer’s key concepts—effective history (Wirkungsgeschichte), pre-understanding (Vorverständnis), and fusion of horizons (Horizontverschmelzung)—the study demonstrates how traditional interpretations may evolve through dialog with present-day realities. This approach contributes to the ongoing discourse on gender, religious norms, and the role of interpretation in Islamic scholarship.

From Observation to Co-Creation: A Netnographic Review of AI-Driven Consumer Behavior Mundzir, Ahmad; Pratiwi, Kuniarti
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5885

As artificial intelligence (AI) continues to transform the landscape of digital consumer experiences, traditional netnographic methods face significant disruption—both in terms of methodological execution and theoretical framing. This systematic review explores how the growing presence of AI, functioning not only as a technological tool but also as an agentic participant, reshapes the way netnography is practiced in marketing and consumer behavior research. Recognizing a widening gap in the literature, the study aims to synthesize current conceptual and methodological advancements at the intersection of ethnographic inquiry and intelligent systems. Employing the PRISMA 2020 protocol for systematic reviews, 43 peer-reviewed journal articles published between 2013 and 2024 were retrieved from Scopus and Web of Science databases. A thematic synthesis of these articles reveals five dominant themes: the methodological evolution of netnography within online consumer communities; the role of AI in predictive personalization; emerging patterns of consumer–AI value co-creation; new relational models of human–AI interaction; and ethical and epistemological challenges posed by AI-augmented ethnography. These themes collectively inform the development of a novel conceptual framework, AI-Netnography which positions both human and algorithmic agents as co-constructors of meaning, identity, and experience. By reimagining netnographic inquiry for AI-mediated environments, this review not only advances the field of qualitative marketing research but also proposes new pathways for ethically responsible and epistemologically inclusive digital consumer studies.

FEMALE CIRCUMCISION (BETWEEN SHARIAH LEGAL EVIDENCE AND GOVERNMENT REGULATIONS) Mundzir, Ahmad; Irfan, Moh; Setiyono, Taufiq Andre; Raharjo, Raharjo
istinbath Vol. 24 No. 1 (2025): June
Publisher : Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/ijhi.v24i1.923

The law of female circumcision in Indonesia is still a controversy between scholars, medicine, and the state. This study aims to analyze the obligation of citizens to comply with Government Regulation No. 28 of 2024, which prohibits the practice of female circumcision, from the perspective of the Shafii School, where this madhhab actually encourages it. This study uses the library research method to examine primary and secondary sources related to hadith, fiqh, madhhab Syafii, contemporary fatwa, and medical and legal aspects in Indonesia. The analysis was carried out using the approach of hadith criticism, ushul fiqh, maqashid shariah, and fiqh madhhab Syafii. The results of the study show that there is a contradiction between the classical views of the Shafii School that tend to advocate female circumcision, including the MUI fatwa, and the results of the 32nd NU Congress in Makassar. However, the principle of obedience to the government is also emphasized in this school. This study found that the sharia basis for female circumcision is dzanni, with generally weak supporting hadith and medical aspects that aggravate female circumcision that can be carried out with the support of the ushhul fiqh approach, maqashid sharia, and fiqh madhhab Syafii. In conclusion, despite differences of opinion, citizens' compliance with Government Regulation No. 28 of 2024 can be justified from the perspective of the Shafii School by considering that it does not contradict Islam. This study suggests the need to review Islamic law in fatwa institutions in Indonesia.

AI Implementation in Knowledge Management for Online News Media Case Study: GOnews.id Mundzir, Ahmad; Purnama, Diki Gita; Mayasari, Iin
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4995

This study examines the role of artificial intelligence (AI) in enhancing knowledge management in the online news media industry, with a focus on GOnews.id as a case study. The industry faces unique challenges, including real-time information delivery and collaboration among dispersed teams. This research evaluates the impact of AI in addressing these challenges, improving operational efficiency, and enhancing content quality. Using qualitative methods, including in-depth interviews and document analysis, the study applied a thematic approach with NVivo 12 software. The findings reveal that AI facilitates faster information access, supports team collaboration, and maintains journalistic standards through automated editing tools. However, limitations such as high infrastructure costs, employee resistance, and AI's inability to fully grasp local contexts present challenges to its implementation. The study emphasizes the importance of using AI as a supportive tool rather than replacing human creativity and judgment. Key implications include AI's potential to enhance organizational competitiveness and responsiveness to audience trends. Recommendations include investing in robust infrastructure, providing employee training, and ensuring human oversight to balance technological efficiency with editorial nuance. By addressing these issues, the study provides valuable insights for media organizations seeking to optimize knowledge management strategies and offers a framework for leveraging AI to meet the demands of modern digital journalism.

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