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Penerapan Algoritma Pemograman Dalam Optimalisasi Pola Makan Mahasiswa Penderita Gastritis Metode FP-Growth Apriani Syahputri; Yahfizham
Intellektika : Jurnal Ilmiah Mahasiswa Vol. 2 No. 1 (2024): Januari : Jurnal Ilmiah Mahasiswa
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/intellektika.v2i1.723

Abstract

Gastritis merupakan terhjadinya peradangan pada lapisan lambung, yang dapat bervariasi dari yang ringan dan tanpa gejala hingga ulserasi yang parah. Jika tidak ditangani, kondisi ini dapat menyebabkan perforasi, terutama di antara individu yang berusia paruh baya dan usia kerja. Penelitian ini bertujuan untuk menyelidiki pola makan mahasiswa yang mengidap gastritis, dengan fokus pada faktor-faktor yang mungkin mempengaruhi kondisi tersebut. Menggunakan dataset berisi 502 rekaman mahasiswa gastritis, penelitian ini mempertimbangkan variabel-variabel relevan seperti fakultas, semester, jenis kelamin, tempat tinggal, penataan jadwal kuliah yang padat, kebiasaan konsumsi makanan pokok, camilan, mie instan, makanan cepat saji, makanan pedas, kopi, minuman bersoda, dan jajanan/gorengan. Dengan menggunakan metode data mining FP-Growth, penelitian ini mengidentifikasi pola makan dominan yang ditandai dengan kebiasaan mengonsumsi makanan pedas 2 sampai 3 kali per minggu atau 4 sampai 5 kali per minggu (MP3), menerapkan strategi "Menahan Lapar" dalam mengatur jadwal kuliah yang padat (PJK2), dan tinggal di asrama/kontrak (TL1), dengan support value sebesar 8,2%. Pola ini menjadi fokus utama dalam analisis terhadap mahasiswa yang menderita gastritis.
Penerapan Metode Hungarian pada Usaha Rumahan Kue Cincin untuk Meminimalkan Biaya Operasional : (Studi Kasus: UMKM Pak Sofwan) Apriani Syahputri; Fadilah Aulia; Siti Izzati Sarah; Siti Salamah Br Ginting
Katalis Pendidikan : Jurnal Ilmu Pendidikan dan Matematika Vol. 2 No. 3 (2025): Katalis Pendidikan : Jurnal Ilmu Pendidikan dan Matematika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/katalis.v2i3.2079

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in the Indonesian economy, including in the traditional culinary sector such as the home-based Kue Cincin Sofwan business. However, in its operations, inefficient division of worker tasks is often found, resulting in wasteful costs. This study aims to apply the Hungarian Method in determining optimal worker assignments in order to minimize operational costs. The study was conducted through a case study approach with observation, interview, and documentation techniques on four workers and four main types of work: kneading, molding, frying, and distributing cakes. Working time data was converted into costs, then analyzed using the Hungarian Method through row and column reduction steps and zero-based assignments in the matrix. . The results showed a 25% decrease in operational costs compared to the previous assignment system. The results of the analysis showed that optimal worker allocation resulted in assignments with lower total costs than the previous unstructured method. Thus, the application of the Hungarian Method has proven effective in helping MSMEs, especially home businesses, improve operational efficiency and cost savings. This study is expected to be a reference for similar business actors in managing human resources more efficiently and scientifically.
Integrasi Pendidikan Digital dan Ekonomi Kreatif melalui Program Digitalisasi Pendaftaran Lokasi Usaha di Google Maps yang Berada di Desa Timbang Lawan Pandi Ahmad Jawara; Apriani Syahputri; Afriani Afriani; Dion Wirayuda Bahri; Ilka Zufria
SEWAGATI: Jurnal Pengabdian Masyarakat Indonesia Vol. 4 No. 4 (2025): Desember: Jurnal Pengabdian Masyarakat Indonesia
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/sewagati.v4i4.3309

Abstract

This study aims to analyze the implementation of the digitalization program for business location registration on Google Maps as a form of digital education integration and strengthening the creative economy in Timbang Lawan Village. The background of this research departs from the low public understanding of the use of digital technology for local business development, which has an impact on the limited market reach, promotion, and competitiveness of MSMEs. The method used in community service is Participatory Action Research (PAR). The PAR method was chosen because it emphasizes active collaboration between researchers and the community so that the resulting solutions are more in line with local needs and can be applied sustainably. The results of the activity show that there is an increase in digital literacy among business actors, especially in the use of digital maps for promotion. Based on documentation, observations, and interviews, a number of MSMEs have successfully registered their business locations on Google Maps, verified by Google, and have begun to receive benefits in the form of increased business visibility, customer numbers, and opportunities for product development and wider business networks at the regional level.