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PEMBERDAYAAN EKONOMI MASYARAKAT MELALUI PENGEMBANGAN UMKM LOKAL DI KECAMATAN MANTIKULORE KOTA PALU Rukhayati; Rahmi, Risma; Heriani; Putri, Yuliana; Dewi Febri Anawati
Sambulu Gana : Jurnal Pengabdian Masyarakat Vol. 4 No. 3 (2025): September 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/sambulu_gana.v4i3.8527

Abstract

This community service program aims to improve the independence and economic welfare of the community through the development of local Micro, Small, and Medium Enterprises (MSMEs) in Mantikulore District, Palu City. The main problems faced by MSME partners include limitations in business management, lack of access to digital marketing technology, and low quality product packaging, which limits competitiveness. Community service activities are carried out through business management mentoring, digital-based marketing training, and innovation in product packaging. The methods used include outreach, workshops, technical guidance, and continuous monitoring and evaluation. The results of the activities show an increase in knowledge and skills of MSME actors, improved product quality, and expanded market access both offline and online. Thus, this program is expected to strengthen the capacity of local MSMEs, increase competitiveness, and encourage economic growth in the Mantikulore District, Palu City.
Kajian Penggunaan Serat Selulosa Alami Dari Daun Nanas (Serat Nanas) Sebagai Bahan Stabilizer Campuran Beraspal SMA Putri, Yuliana; Santosa, Leo; Adiman, Edi Yusuf
Journal of Infrastructure and Construction Technology Vol. 1 No. 1 (2023): January 2023
Publisher : Dept. of Civil Engineering Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56208/Jictech.1.1.1-9

Abstract

SMA asphalt mixture is an asphalt mixture with gap graded, so this type of pavement requires a high asphalt content. High asphalt content in the mixture has positive and negative impacts. The advantage is that it can make the mixture resistant easily oxidization and can make increase the durability of the road pavement layer. The disadvantage is prone to drain down (a condition where the binder (asphalt) will flow or separate from the mix) in the form of cellulose fibers or polymer fibers. This results in a mixture of SMA which is more resistant to deformation, deflection, and cracking and is stable to withstand the load of the vehicle's wheels. The additives commonly used are synthetic cellulose fibers, called Arbocell and Viatop66. This product is manufactured in Rosenberg-Germany. The use of this product causes problems, namely the high price and depends on the dollar price, and requires additional procurement costs in the form of import costs. Therefore, it is necessary to find an alternative to replace the cellulose fiber with natural fibers that have characteristics that are close to synthetic fibers. Based on the literature review, several natural cellulose fibers that have been successfully used as additives for SMA mixtures are rice bran fiber, palm fiber, coconut fiber, and pineapple leaf fiber, coconut fiber, kapok fiber, corn cobs. With cellulose content ranging from 14 – 64%, it shows good performance. Therefore, pineapple leaf fiber with a higher cellulose content of 69.5%-71.5% has the potential to be used as an additive because it has a cellulose content that is close to synthetic fiber.
Studi Komparatif Kualitatif: Makna Alat Bantu Dengar Sebagai Artificial Intelegence Tantang, Albert Agung; Aldo, Robertus; Dela, Brigitta; Putri, Yuliana; Winarta, Marseilla Amelia; Louisa, Valerie Albertina; Angelina, Petra; Jelimalini; Putri, Amelia Andy; Jesica, Maria Almeyda; Lilyana, Maria Theresia Arie; Pae, Kristina
JURNAL NERS LENTERA Vol. 13 No. 2 (2025): JURNAL NERS LENTERA
Publisher : Fakultas Keperawatan, Universitas Katolik Widya Mandala Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33508/ners.v13i2.7683

Abstract

Pendahuluan: Gangguan pendengaran terjadi apabila seseorang tidak bisa mendengar secara normal. Dampak sosial gangguan pendengaran adalah perlakuan kurang baik dari orang atau pengucilan bagi penderita tunarungu. Dampak lainnya gangguan pendengaran adalah: tumbuh kembang anak terganggu, gangguan kualitas hidup, gangguan ekonomi, kesempatan belajar dan masuk dunia kerja juga terganggu. Pemanfaatan tekhnologi Alat Bantu Dengar (ABD) sebagai teknologi medis merupakan solusi mengurangi dampak gangguan pendengaran bagi tunarungu. Metode: Penelitian ini merupakan penelitian komparatif kualitatif yang bertujuan untuk memahami dan membandingkan makna dari Artificial Intelegence (AI) berupa alat bantu dengar (ABD) antara individu normal tanpa ABD dan individu tunarungu dengan ABD. Responden penelitian sebanyak 2 orang Wanita berusia 25 tahun, respoden 1 wanita tanpa ABD dan tidak tunarungu dan responden ke 2 wanita tuna rungu dengan ABD. Hasil: Hasil penelitian mendapatkan 3 tema yaitu: Manfaat ABD, interaksi sosial dan teknologi AI, kualitas hidup dengan teknologi AI. Pembahasan: teknologi saat ini seperti ABD bermanfaat bagi penderita tunarungu berinteraksi dengan komunitasnya dan merasakan jadi bagian meski memiliki kekurangan sehingga merasa hidupnya berkualitas. Kesimpulan: teknologi ini membawa dampak positif terhadap kualitas interaksi sosial, namun tidak menggantikan, dimensi relasional dan emosional dari komunikasi manusia.
Manajemen Inovasi SDM Dalam Era Globalisasi dan Teknologi 4.0: Perspektif dan Peluang Ritonga, Rika Umbaiyani; Ary, Muhammad Hasan Asy; Putri, Yuliana; Suhairi, Suhairi
Ekonomi Bisnis Manajemen dan Akuntansi (EBMA) Vol 4, No 1: 2023
Publisher : LPPM Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/ebma.v4i1.4642

Abstract

Globalization brings about changes in many areas, particularly in the areas of economy, politics, and technology. Globalization, though, also affects other fields, like human resource management (HRM). This desk study examines the role and influence of strategic management innovation on the preparation of human resources before entering the world of work and business in the midst of the 4.0 revolution in light of the emergence of a new paradigm that recognizes the role of humans as a fact that provides strategic direction and competitive advantage. Businesses and their human resources are dramatically impacted by technology improvements, creating more intense rivalry. Due to technology improvements, businesses must be more inventive and imaginative when it comes to strategic management. Large technology firms keep innovating inside their own structures. This includes their own unique innovation, processes, and goods. Companies that use open innovation strategies might use both internal and external sources of innovation. Alliance tactics may emerge in corporate initiatives to produce various ideas, and companies that pay more attention to innovation management to lessen rivalry are predicted to become more competitive.
Penerapan Model Jigsaw Learning untuk Mengatasi Kesulitan Belajar PAI di SMPN 4 Kota Solok Putri, Yuliana; Fitriani, Wahidah
YASIN Vol 5 No 6 (2025): DESEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/yasin.v5i6.7881

Abstract

Learning difficulties in Islamic Religious Education (PAI), particularly in abstract subjects such as akhlak, fikih, and the application of Islamic values in daily life, remain a significant challenge at the junior high school level. This study aims to analyze the effectiveness of the Jigsaw Learning model in addressing learning difficulties and improving student learning outcomes in PAI at SMPN 4 Kota Solok. A quantitative approach with a quasi-experimental design was employed, involving 60 eighth-grade students divided into two groups: an experimental class (using the Jigsaw Learning model) and a control class (using conventional methods). Data were collected through pre-tests, post-tests, classroom observations, and student perception questionnaires. The findings showed an increase in the experimental class’s average score from 67.9 to 86.5, while the control class improved from 68.1 to 76.4. An independent sample t-test revealed a significant difference between the two groups (t = 4.85 > t table = 2.00; α = 0.05). These results confirm that the Jigsaw Learning model effectively enhances conceptual understanding, student collaboration, and active participation in PAI instruction. The study concludes that collaborative learning through peer teaching within group structures fosters deeper comprehension and promotes both individual and social responsibility. The implications highlight the importance of integrating cooperative learning strategies in PAI contexts and recommend the incorporation of digital tools to further support critical thinking and social empathy development among students.
Pengembangan Sistem Evaluasi Pembelajaran Pendidikan Agama Islam Berbasis Taksonomi Bloom Revisi untuk Meningkatkan Keterampilan Berpikir Tingkat Tinggi Peserta Didik di SMAN 1 Gunung Talang Putri, Yuliana; Amra, Abhanda; Yoma, Abdul Razzak; Amri, Irzan; Wince, Wince
Jurnal Penelitian Ilmu Pendidikan Indonesia Vol. 4 No. 4 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpion.v4i4.849

Abstract

Penelitian ini bertujuan untuk mengembangkan dan memvalidasi sistem evaluasi pembelajaran Pendidikan Agama Islam (PAI) berbasis Taksonomi Bloom Revisi guna meningkatkan kemampuan berpikir tingkat tinggi (Higher-Order Thinking Skills/HOTS) peserta didik di SMAN 1 Gunung Talang. Penelitian ini menggunakan pendekatan penelitian dan pengembangan (Research and Development/R&D) dengan model ADDIE yang meliputi tahap Analisis, Desain, Pengembangan, Implementasi, dan Evaluasi. Hasil analisis kebutuhan menunjukkan bahwa 72% instrumen evaluasi yang digunakan masih mengukur kemampuan berpikir tingkat rendah (Lower-Order Thinking Skills/LOTS), sedangkan hanya 18% yang mencapai tingkat HOTS. Sebagai respon, dikembangkan sistem evaluasi digital yang mengintegrasikan matriks dua dimensi taksonomi Anderson dan Krathwohl serta 48 indikator HOTS yang diadaptasi dalam konteks pembelajaran PAI. Hasil validasi ahli menunjukkan skor Aiken’s V sebesar 0,842 yang menandakan validitas tinggi, sedangkan uji kepraktisan menghasilkan skor rata-rata 0,785. Hal ini menunjukkan bahwa sistem yang dikembangkan valid dan praktis untuk diterapkan di kelas. Integrasi Google Workspace meningkatkan aksesibilitas dan efisiensi praktik evaluasi, sejalan dengan tuntutan Kurikulum Merdeka dalam penilaian autentik berbasis teknologi. Penelitian ini berkontribusi secara teoretis dengan memperluas penerapan Taksonomi Bloom Revisi dalam pendidikan Islam dan secara praktis menghadirkan model evaluasi digital inovatif yang kontekstual dalam menumbuhkan kemampuan berpikir kritis, kreatif, dan evaluatif peserta didik.
Implementation of the K-Nearest Neighbor Algorithm (KNN) with Principal Component Analysis to Diagnose Tuberculosis Putri, Yuliana; Alamsyah, Alamsyah
Recursive Journal of Informatics Vol. 3 No. 2 (2025): September 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rji.v3i2.5235

Abstract

Purpose: Tuberculosis (TB) is an infectious disease that attacks the respiratory organs, the lungs, and some can attack organs outside the lungs. Indonesia is one of the largest contributors to TB cases with around 320,000 new cases every year. Delays in diagnosing TB disease can cause a higher number of deaths due to errors in the treatment of sufferers. This makes the early diagnosis of TB disease important as early as possible. The research carried out aims to implement machine learning techniques to help diagnose TB disease. Methods: The research was carried out using the K-Nearest Neighbor (KNN) classification algorithm which was optimized with the Principal Component Analysis (PCA) feature selection technique. The dataset used consists of 577 data with 12 attributes labeled patients with tuberculosis and patients who do not have tuberculosis. Result: From the research that has been conducted, models that implement the KNN algorithm with PCA produce models with better performance than models that only implement KNN. The model that only uses KNN gets an accuracy of 92.528%, while the model that uses KNN and PCA gets an accuracy of 98.85%. This shows that the implementation of KNN and PCA is able to produce a good tuberculosis diagnosis model and can be used to assist in the early diagnosis of tuberculosis. Novelty: Using PCA in the feature selection process can reduce unnecessary attributes. It is a PCA that helps reduce the dimensionality, simplifies the visualization and interpretation of complex data sets. The use of PCA has been proven to be able to optimize the performance of the KNN algorithm for the detection of tuberculosis.