Claim Missing Document
Check
Articles

Found 4 Documents
Search

PENGEMBANGAN POTENSI DESA SUKAMAJU PADA BIDANG PARIWISATA DAN SEKTOR UMKM Taptajani, Dedi Sa'dudin; Fadhillah, Achmad Ridwan; Pamungkas, Aldi Tryana; Herliani, Desi; Septian, Diaz Ahmad; Annas, Elpan Jamaludin; Wijdan, Farid Muhammad; Mutaqin, Fahmi Hidayatul; Fauziah, Hany; Fadilah, Ilham; Nurjaman, Iman; H, Jingga Fajrianti; Maulana, Muhamad Andhika; Alfarizzi, Mohamad Risky; Rifai, Muhammad Rizal; Azham, Moch Nazham Ismul; Mawari, Rahma Siti; Putri, Riva Apriliyani; Rahman, Roy Hadi; Yuliana, Siti Sarah; Muwafiq, Syahdan Fatan Nur
Jurnal PkM MIFTEK Vol 6 No 1 (2025): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.6-1.2079

Abstract

Penelitian ini berfokus pada pengembangan potensi Desa Sukamaju, Kecamatan Cilawu, Kabupaten Garut, khususnya pada sektor pariwisata dan UMKM. Melalui pendekatan partisipatif, tim peneliti melakukan redesain Desa Wisata Sindangkasih, pembuatan website baru, dan pembuatan logo untuk Usaha teh hijau lokal. Metode yang digunakan meliputi survei lapangan, diskusi dengan pengelola desa wisata dan pemilik usaha, serta implementasi desain menggunakan keahlian multidisiplin dari mahasiswa Institut Teknologi Garut. Hasil penelitian menunjukkan bahwa redesain desa wisata, termasuk penambahan gedung serba guna dan sekretariat, berpotensi meningkatkan daya tarik wisata. Pembuatan website baru meningkatkan visibilitas dan aksesibilitas informasi desa wisata, sementara logo baru produk teh hijau memperkuat identitas merek dan daya saing produk. Ketiga inisiatif ini berpotensi meningkatkan kunjungan wisatawan dan penjualan produk, yang pada gilirannya dapat mendorong pertumbuhan ekonomi lokal dan kesejahteraan masyarakat Desa Sukamaju.
NARRATIVE REVIEW: PERAN SERTIFIKASI HALAL DALAM PRODUK BERBAHAN DASAR AYAM SECARA HUKUM SYARI’AT ISLAM Budiana, Budiana; Rahman, Budi; Fathurrohim, Muhammad Faizal; Nurhayati, Rika; Bakar, Bakar; Fadilah, Ilham
International Journal Mathla’ul Anwar of Halal Issues Vol. 5 No. 1 (2025)
Publisher : Universitas Mathla’ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/ijma.202551.125

Abstract

Halal labels in the use of processed chicken products are very important, because in the period 2020 - 2025 there have been many chicken-based food products as food variations both in the form of franchises and other processed products. This study uses a literature method to validate how chicken-based food products can get halal certification. The results of the study show that a product that is halal certified is through a processing process using Islamic law. Halal and good animals are also determined during the slaughtering and processing process. The audit includes several things including; checking the data sent, checking the production process, laboratory, packaging, storage, transportation, distribution, marketing, presentation to halal certification.    
Sub-Chronic Toxicity Test of Solid Self Nanoemulsifying Drug Delivery System (S-Snedds) Hydrochlorothiazide in Male Rats Yulianto, Asep Nurrahman; Widyaningsih, Wahyu; Wahyuningsih, Iis; Fadilah, Ilham; Tajudin, Tatang
Indonesian Journal of Pharmacy and Natural Product Vol. 8 No. 02 (2025): Indonesian Journal of Pharmacy and Natural Product
Publisher : Universitas Ngudi Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35473/ijpnp.v8i02.4434

Abstract

Hydrochlorothiazide (HCT) is a diuretic thiazide that is commonly used in the treatment of hypertension, although it exhibits has low bioavailability. The development of the Solid Self-Nanoemulsifying Drug Delivery System (S-SNEDDS) is expected to be able to increase the solubility and bioavailability orally administered of HCT. This study aims to evaluate the sub-chronic toxicity of S-SNEDDS HCT formulations by examining biochemical parameters (SGOT, SGPT, BUN, and creatinine), and histopathological analysis of liver, kidney, and heart in male Wistar strain rats. An experimental design with five distinct treatment groups was utilized: negative control (CMC-Na 0,5%), S-SNEDDS base (aerosil), positive control (pure HCT 25 mg/kg BW), S-SNEDDS HCT (25 mg/kg BW), and satellite group (S-SNEDDS HCT 50 mg/kg BW). The treatment spanned for 28-days, followed by a 14-days observation period with no treatment for the satellite group.  The results showed that SGPT, BUN, and creatinine remained normal across all groups, suggesting the absence of liver or kidney damage. Histopathology analysis shows structural changes in the form of degeneration, necrosis, and infiltration of inflammatory cells mainly in the pure HCT and S-SNEDDS HCT groups, however in the satellite group the damage may return to normal when administration is stopped.
Klasifikasi Kompleksitas Gameplay Berbasis Struktur Kalimat pada Deskripsi Game Raihan, Abdul; Hasan, Mhd Arief; Azhim, M Fadilah; Fadilah, Ilham
Jurnal Ilmu Komputer dan Teknologi Informasi Vol. 3 No. 1 (2026): Maret
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jikti.v3i1.1824

Abstract

Game descriptions on digital distribution platforms play a crucial role in conveying the characteristics of gameplay to players. However, the language complexity of these descriptions varies and may influence players' understanding of the gameplay being offered. This study aims to classify gameplay complexity based on sentence structure in game descriptions using a Natural Language Processing (NLP) approach. The dataset used is the 10k Most Popular Gaming 2025 dataset obtained from Kaggle, with a focus on the game description column. The description data is grouped into three complexity classes: simple, medium, and complex, based on the linguistic characteristics of the text. The research process includes text preprocessing, sentence-structure-based linguistic feature extraction, and data balancing using the balance rank method. Classification is performed using the Logistic Regression, Random Forest Classifier, and Support Vector Machine algorithms. Evaluation results show that the Random Forest Classifier achieves the highest accuracy of 0.85, while Logistic Regression and Support Vector Machine obtain accuracies of 0.81 each. Feature analysis reveals that word count and average sentence length are the most influential features in determining gameplay complexity. Visualization using Principal Component Analysis shows a clear distribution pattern of complexity classes, although some overlap between classes remains. The results of this study demonstrate that sentence-structure-based linguistic analysis is effective in representing gameplay complexity in game descriptions.