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All Journal Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) DIGIMAS: Jurnal Transformasi Digital Masyarakat
febrien, fransiskus
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Other

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Peta Tematik Pemetaan Penyebaran Barbershop Di Kelurahan Pisang Candi, Kecamatan Sukun, Kota Malang febrien, fransiskus; Wahyuni, Ida
Jurnal Transformasi Digital Masyarakat (DIGIMAS) Vol. 1 No. 2 (2025): DIGIMAS: Transformasi Digital Masyarakat
Publisher : Fakultas Ilmu Komputer, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/digimas.v1i2.5053

Abstract

Di wilayah Kelurahan Pisang Candi, Kecamatan Sukun, Kota Malang, usaha barbershop telah menunjukkan kemajuan yang pesat dalam beberapa tahun terakhir. Hal ini terlihat dari meningkatnya jumlah barbershop modern yang berdiri di berbagai lokasi strategis. Namun, kurangnya pemetaan yang terorganisir tentang sebaran barbershop menghalangi perencanaan pengembangan bisnis dan regulasi tata ruang daerah. Pengabdian ini bertujuan untuk mengkaji pola distribusi spasial barbershop di Kelurahan Pisang Candi serta mengidentifikasi elemen-elemen yang mempengaruhi pemilihan tempatnya. Metode yang digunakan adalah pendekatan kuantitatif deskriptif, sedangkan pengumpulan datanya dilakukan dengan memanfaatkan peta lokasi dari Google Maps. Dalam analisis data, kami menggunakan sistem informasi geografis (SIG) melalui aplikasi QGIS untuk membuat peta tematik. Temuan pengabdian menunjukkan bahwa terdapat 6 barbershop yang membentuk pola pengelompokan, terutama di sepanjang jalan utama dan di sekitar area pendidikan. Pemetaan ini memberikan informasi spasial yang dapat dijadikan panduan dalam merencanakan pengembangan usaha barbershop dan menyusun regulasi tata ruang di Kelurahan Pisang Candi. Kata kunci: peta tematik, barbershop, analisis spasial, SIG, Pisang Candi.
Sistem Berbasis Logika Fuzzy Mamdani Untuk Klasifikasi Status Gizi Anak Febrien, Fransiskus; Fitria, Vivi Aida
JURNAL FASILKOM Vol. 16 No. 1 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i1.10933

Abstract

Malnutrition among children under five remains a critical public health challenge, particularly in primary healthcare settings where assessment is often conducted manually and relies on a single anthropometric index. This study proposes a Mamdani fuzzy logic-based classification system designed to assess children’s nutritional status at Puskesmas Nanu by simultaneously incorporating four anthropometric parameters: age (months), height, weight, and mid-upper arm circumference (MUAC). Unlike previous studies that typically employ one or two indicators, this system constructs a comprehensive inference framework consisting of 135 IF-THEN rules derived from all possible combinations of fuzzy input sets. Triangular and trapezoidal membership functions are applied to each variable to capture the gradual transitions inherent in children’s growth conditions. The inference engine employs the MIN operator for rule activation and MAX for aggregation, while centroid defuzzification converts the aggregated fuzzy output into a deterministic crisp value. The system was evaluated against 20 anthropometric records from the facility and compared with the conventional Z-score method used by healthcare workers. Results show that 15 out of 20 cases were classified consistently, yielding an accuracy rate of 75%. In a representative case of a 59-month-old child, the system produced a crisp output of −0.25, corresponding to the normal nutritional status category. These findings demonstrate that the proposed system offers a more holistic and objective approach to nutritional assessment. Limitations include the relatively small sample size and membership function domains derived from local data rather than standardized WHO references. Future work should focus on expanding the dataset, aligning parameters with national anthropometric standards, and implementing the system as a web-based or mobile application integrated into primary healthcare information systems.
Co-Authors Ida Wahyuni Vivi Aida Fitria