Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 1–10 dari 218 artikel
Transformation of Micro-Enterprise Marketing Strategies through Artificial Intelligence Training in Semarang City
Amin, F
; Wibisono, S
; Yarisma, F., W
; Ilham, R., M
; Fathurachman, C
; Hadikurniawati, W
; Cahyono, T., D
Community Service Journal: Adarma Acitya
Vol 1
, No 2
(2026)
This community service program aims to transform the marketing strategies of microenterprises through training on the utilization ofArtificial Intelligence (AI) in Semarang City. The program was designed using a capacity-building approach that emphasizes hands-on practice and structured mentoring, employing the Demonstration– Practice–Feedback–Revision (DPFR) model. The training materials covered the use of text-to-text AI for generating content ideas, captions, storytelling, and calls to action...
Sumber Asli
Google Scholar
DOI
Upaya Meningkatkan Hasil Belajar Teknik Dasar Shooting Sepak Bola Melalui Model Problem Based Learning Pada Siswa Mts Al-Manar Tembung
Jendela Olahraga
Vol 11
, No 01
(2026)
Penelitian ini bertujuan untuk meningkatkan hasil belajar teknik dasar shooting dalam permainan sepak bola melalui penerapan Model Pembelajaran Problem Based Learning (PBL) pada siswa kelas IX 2 MTS Al Manar Tembung. Metode yang digunakan adalah Penelitian Tindakan Kelas (PTK), dilaksanakan dalam dua siklus pembelajaran. Setiap siklus meliputi tahap: orientasi pada masalah, pengorganisasian siswa, pendampingan dalam investigasi, pengembangan dan presentasi solusi, serta refleksi dan evaluasi. In...
Sumber Asli
Google Scholar
DOI
Optimizing Cost Performance in Green Industrial Palm Oil Projects Using AI-Based AEC
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
This study investigates green industrial palm oil project cost performance determinants through Artificial Intelligence (AI)-based Architecture, Engineering, and Construction (AEC) systems. The study employed a Structural Equation Modeling Partial Least Squares (SEM-PLS) approach to analyze significant data collected from 115 respondents through 166 validated indicators. Ten primary drivers were identified, and alternative water sources topped the list, followed by indoor air quality auditing, g...
Sumber Asli
Google Scholar
DOI
Analisis Perbandingan Produktivitas Jam Kerja Pada Proyek Reparasi Kapal TB Ampenan 01 Dengan Metode Critical Path Method dan Critical Chain Project Management di Galangan Kapal Madura
Ocean Engineering : Jurnal Ilmu Teknik dan Teknologi Maritim
Vol 4
, No 4
(2026)
Project scheduling is an important element for shipyard companies to gain more profit. The most frequently used analysis is the Critical Path Method (CPM). However, in reality, planning using the CPM method is considered less efficient because it does not consider the productivity of each job in it and adds safety time which causes the project duration to become longer. In accordance with the above problems, a new method for planning project schedules is now being developed, namely Critical Chai...
Sumber Asli
Google Scholar
DOI
A Lightweight Maize Leaf Disease Recognition Using PCA-Compressed MobileNetV2 Features and RBF-SVM
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The integration of Artificial Intelligence (AI) into precision agriculture has significantly improved plant disease recognition; however, many existing deep learning models remain computationally expensive and feature-redundant, limiting their deployment on low-power and edge devices. To address these limitations, this study proposes a lightweight framework for maize leaf disease recognition based on serial deep feature extraction, dimensionality reduction, and machine-learning–based classificat...
Sumber Asli
Google Scholar
DOI
Penguatan Aparatur Sekretariat DPRD dalam Perspektif Institusionalisme: Integrasi Old Institutionalism, New Institutionalism, dan Teori Tiga Pilar Kelembagaan
Public Service And Governance Journal
Vol 7
, No 1
(2026)
The strengthening of the Secretariat apparatus of the Regional Representative Council (DPRD) is a strategic issue in the governance of legislative administration at the regional level in Indonesia. However, studies on the DPRD Secretariat remain relatively limited and tend to emphasize structural and regulatory aspects, without comprehensively addressing institutional dynamics. This study aims to strengthen the DPRD Secretariat apparatus through an institutionalist perspective, using the Institu...
Sumber Asli
Google Scholar
DOI
Optimising Time Efficiency in Green Retrofit Jetty Projects through Envision and Lean-Based Value Stream Mapping
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
Indonesia, as a strategic global maritime axis, has only 7.03% of its islands equipped with jetties, and jetty construction poses environmental challenges due to emissions and ecological impacts. Green retrofitting provides a sustainable solution by improving energy efficiency in existing jetties. The Envision rating system guides the transition from conventional to green infrastructure, assessing quality of life, leadership, resource allocation, natural environment, and climate resilience. Desp...
Sumber Asli
Google Scholar
DOI
Analisis Deteksi Komunitas Louvain, Infomap, dan Walktrap pada Konstruksi Social Network Analysis Jaringan Undang-Undang Republik Indonesia 2014-2024
Al Amin, Imam Husni
; Wibisono, Setyawan
; Hadikurniawati, Wiwien
; Lestariningsih, Endang
; Eniyati, Sri
Dinamik
Vol 31
, No 1
(2026)
Penelitian ini mengevaluasi performa tiga algoritma deteksi komunitas Louvain, Infomap, dan Walktrap dalam konteks social network analysis pada jaringan undang-undang Republik Indonesia periode 2014–2024. Jaringan dibangun dari hubungan kutipan antar undang-undang Republik Indonesia pada rentang waktu antara tahun 2014 sampai dengan tahun 2024. Kutipan antar undang-undang diperoleh pada bagian “Mengingat” pada setiap undang-undang, menghasilkan sebuah konstruksi struktur graf berarah dan tak ber...
Sumber Asli
Google Scholar
DOI
CLUSTER ANALYSIS OF DANA AND GOPAY E-WALLET SERVICE REVIEWS USING TF–IDF AND K-MEANS/K-MEDOIDS: AN ECONOMIC AND MANAGEMENT STRATEGY PERSPECTIVE
Stability: Journal of Management and Business
Vol 8
, No 2
(2025)
This study aims to (1) identify the thematic structure of Indonesian-language user reviews on digital wallet services, (2) compare the clustering quality produced by alternative unsupervised methods, and (3) derive actionable operational insights for service management and financial performance. A quantitative text-mining design is employed, using an unsupervised learning framework on Indonesian-language Google Play Store reviews collected over the 2021–2025 period, comprising 553.500 reviews fo...
Sumber Asli
Google Scholar
DOI
WHEN RESOURCES ARE NOT ENOUGH: LOCAL KNOWLEDGE AS A KEY DRIVER OF SME’s PERFORMANCE
Ahmad Hafiyyan Shibghatalloh
; Arisanti Ayu Wardhani
; Hasan Aminda Syafrudin
; Achmad Solechan
; Albertus Setyo Sumargo
; Lubertus Wahyu Priyo Dwiantoro
Stability: Journal of Management and Business
Vol 8
, No 2
(2025)
This study aims to examine the relationships between resources, local knowledge, and SME’s performance by integrating the Resource-Based View and Knowledge-Based View perspectives. A quantitative cross-sectional approach was employed using primary data collected through a structured questionnaire. The study was conducted among batik MSMEs in Pekalongan, Central Java, Indonesia. A purposive sampling technique was applied with specific criteria. A total of 100 MSMEs were selected as the research s...
Sumber Asli
Google Scholar
DOI