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KORISA: Jurnal Kolaborasi Riset Sarjana
Published by Universitas Harapan Bangsa Purwokerto
ISSN : -     EISSN : 30639263     DOI : -
Core Subject :
Jurnal KORISA: Jurnal Kolaborasi Riset Sarjana mencakup, namun tidak terbatas pada, topik-topik berikut: Ilmu Sains dan Teknik: Teknologi informasi, rekayasa/keteknikan, fisika, kimia, biologi, ekologi, dan energi terbarukan. Kesehatan dan Kedokteran: Kesehatan masyarakat, kedokteran, bioteknologi, keperawatan, farmasi, dan teknologi kesehatan. Ilmu Sosial dan Humaniora: Sosiologi, psikologi, antropologi, ekonomi, manajemen, dan bisnis. Ilmu Hukum: Hukum publik dan privat, hukum teknologi, regulasi kesehatan, dan hukum internasional. Ilmu Pendidikan: Inovasi dalam metode pengajaran, kebijakan pendidikan, teknologi pendidikan, dan psikologi pendidikan.
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Articles 31 Documents
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Memahami Sentimen Pengguna: Analisis Ulasan Aplikasi STRAVA di Google Play Store Muhit Fahri Alamsah; Rian Ardianto
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 2 No. 2 (2025): Jurnal Kolaborasi Riset Sarjana Volume 2 Nomor 2 Mei 2025
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Abstract

This study aims to analyze user sentiment towards the STRAVA app based on reviews obtained from the Google Play Store. The data used amounted to 6,082 reviews after going through text cleaning and pre-processing stages, including case folding, stopword removal, tokenizing, and stemming. Reviews with ratings of 4–5 are categorized as positive sentiment, while ratings of 1–2 are categorized as negative sentiment. The Naive Bayes algorithm was used as a classification model with a feature representation based on Term Frequency–Inverse Document Frequency (TF-IDF). The evaluation results showed that the model was able to classify sentiment with an accuracy of 90.7%, precision and recall for positive sentiment reached 94%, while for negative sentiment each was around 78%. These findings indicate that Naive Bayes with TF-IDF weighting is effective in analyzing sentiment of STRAVA app reviews. This study is expected to provide input for STRAVA developers in improving feature quality, user experience, and overall satisfaction.
Model Topik Wisata Masjid berdasarkan Ulasan Google Map pada Masjid Oman Al Makmur Aceh Lukmanul Hakim; Dwi Susanto
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 1 No. 2 (2024): Jurnal Kolaborasi Riset Sarjana Volume 1 Nomor 2 Juli 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Abstract

Wisata halal terintegrasi masjid memberikan peluang perekonomian regional untuk tumbuh serta dapat dikelola dan dimanfaatkan oleh pada pemangku kepentingan dengan aktif melibatkan peran jamaah. Penggunaan Google Map sangat membantu pengunjung untuk mencari atau menuju destinasi wisata baru dengan mudah termasuk menemukan fasilitas pendukung di sekitar area objek wisata seperti restoran, coffee shop, convenience store, atraksi, dan banyak kategori lainnya. Selain itu para pengunjung juga dapat memberikan ulasan terkait destinasi wisata yang dikunjungi dengan memberikan penilaian berupa rating, menyematkan foto dan video, serta komentar terhadap suatu destinasi wisata atau tujuan. Melalui artikel ini penulis memanfaatkan data ulasan pengunjung pada Google Map Masjid Oman Al Makmur yang berlokasi di kota Banda Aceh. Berdasarkan hasil ekstraksi data menggunakan platform Apify, 2.352 data diperoleh dari Google Map dengan pencarian objek “Masjid Oman Al Makmur”. Eksplorasi struktur topik tersembunyi dilakukan dengan model Latent Dirichlet Allocation (LDA). Tiga topik utama yang paling relevan disajikan dalam bentuk grafik berdasarkan hasil evaluasi topic coherence. Mayoritas pengunjung sangat nyaman dengan fasilitas, pelayanan, aktivitas yang ada di Masjid, namun hanya sedikit ulasan yang berkomentar negatif namun hal ini tetap bisa dijadikan sebagai koreksi bagi pengelola masjid untuk meningkatkan kualitas masjid ke depannya.
Manajemen Iklim Kelas yang Positif sebagai Upaya Pencegahan Bullying di Sekolah Dasar Muhamad Abdillah; Diana Putri; Adhining Rahmahani
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 3 No. 1 (2026): Vol. 3 No. 1 (2026): Jurnal Kolaborasi Riset Sarjana Volume 3 Nomor 1 Januari 2
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Abstract

Bullying remains a persistent problem in elementary schools and has the potential to hinder students’ social and emotional development. This study aims to describe positive classroom climate management practices and their role in preventing bullying behavior in elementary schools. A descriptive qualitative approach was employed, involving three classroom teachers and 62 students from a public elementary school in Indonesia, with the institution anonymized to ensure confidentiality. Data were collected through observations, in- depth interviews, and document analysis. The data analysis was conducted in stages, including data reduction, data display, and thematic analysis. The findings indicate that positive classroom climate management is reflected in three main themes: harmonious teacher– student interpersonal relationships, the implementation of positive discipline as a preventive strategy, and the reinforcement of students’ empathy and social responsibility values. The establishment of a safe, inclusive, and participatory classroom climate contributes to reducing the potential for bullying behavior and supports the creation of a child-friendly learning environment. These findings offer practical implications for elementary school teachers in developing classroom management strategies oriented toward bullying prevention. However, this study is limited by the scope of participants and research context, suggesting the need for further studies employing more diverse approaches and research settings.
Model Pendampingan Digital Payment sebagai Instrumen Pemberdayaan UMKM Desa dalam Mendukung Smart Village Hadi Jayusman; Rosyid Al-Hakim; Fadia Lusiana
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 3 No. 1 (2026): Vol. 3 No. 1 (2026): Jurnal Kolaborasi Riset Sarjana Volume 3 Nomor 1 Januari 2
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in strengthening the village economy; however, many rural MSMEs still face limitations in adopting digital technology, particularly in payment systems. This community service program aimed to assist MSMEs in Desa Rancamaya, Cilongok District, Banyumas Regency, Central Java, through the implementation of the Indonesian Quick Response Code Standard (QRIS) as part of the Smart Village initiative. The program involved 20 MSME actors and was conducted over one week using a participatory mentoring approach with a one-group pretest–posttest design. Data were collected through questionnaires and interviews to evaluate changes before and after QRIS implementation. The evaluation indicators included business turnover, number of daily transactions, payment convenience, and digital literacy. Descriptive analysis showed improvements across all indicators after the adoption of QRIS. MSMEs experienced increased transaction efficiency, higher transaction volumes, improved customer convenience, and enhanced digital literacy. The results indicate that QRIS adoption contributes positively to MSME empowerment and supports the development of a digital economic ecosystem at the village level. This community service activity demonstrates that simple and practical digital interventions can effectively support the implementation of Smart Village programs and enhance the readiness of rural MSMEs in the digital economy.
Strategi Implementasi Telehealth Informatika dan Hasil Mutu dalam Keperawatan Komunitas Awal Tunis Yantoro; Oktavia Putri Handayani; Purwono Purwono
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 3 No. 1 (2026): Vol. 3 No. 1 (2026): Jurnal Kolaborasi Riset Sarjana Volume 3 Nomor 1 Januari 2
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Abstract

The rapid expansion of digital health technologies has significantly transformed the delivery of community-based nursing services. Telehealth informatics has increasingly been adopted to enhance access, continuity, and quality of care, particularly in chronic disease management and home-based services. However, implementation approaches vary across health systems, and the relationship between implementation strategies and quality outcomes remains insufficiently synthesized. This study aimed to identify telehealth informatics implementation strategies in community nursing, analyze their impact on quality outcomes, and explore barriers and facilitators influencing adoption. A systematic literature review was conducted in accordance with PRISMA guidelines. Searches were performed in Scopus, ScienceDirect, PubMed, and CINAHL for studies published between 2022 and 2026. Eligible studies focused on telehealth interventions implemented in community or home care nursing contexts and reported measurable quality outcomes. Fifteen international studies met the inclusion criteria and were analyzed using a descriptive-comparative thematic synthesis. The findings indicate that successful telehealth implementation is associated with interoperable digital infrastructure, structured workflow integration, managerial support, digital competency development, and regulatory alignment. Quality improvements were observed across multiple domains, including reduced hospital admissions, improved disease-specific clinical indicators, enhanced patient satisfaction, and favorable cost-effectiveness estimates. Nevertheless, variability in long-term sustainability and readmission outcomes was noted. Key barriers included limited interoperability, digital literacy gaps, reimbursement constraints, and regulatory ambiguity, whereas structured training, organizational readiness, and interdisciplinary collaboration facilitated adoption. It is concluded that telehealth informatics has substantial potential to enhance quality of care in community nursing when implemented through systematic, competency-based, and policy-supported strategies. Sustainable integration requires coordinated investment in digital infrastructure, workforce preparedness, and governance frameworks that promote equitable and effective community care delivery.
Teknologi Kesehatan Mental Digital Berbasis Kecerdasan Buatan: Tinjauan Bukti Biomedis dan Psikologis ⁠Indri Wijayanti; Indah Trivilia
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 3 No. 1 (2026): Vol. 3 No. 1 (2026): Jurnal Kolaborasi Riset Sarjana Volume 3 Nomor 1 Januari 2
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Abstract

The global prevalence of depression and anxiety increased substantially, placing significant pressure on conventional mental health services. Although digital mental health technologies expanded access to care, many systems remained static and lacked adaptive personalization. Artificial intelligence was introduced to enhance real-time monitoring, personalization, and automated decision-making within digital interventions. This study aimed to systematically evaluate empirical evidence regarding psychological and biomedical outcomes of AI-powered digital mental health technologies and to synthesize methodological patterns influencing clinical applicability. A systematic review was conducted following PRISMA 2020 guidelines. Literature searches were performed in PubMed, Scopus, and SpringerLink for studies published between 2020 and 2026. Studies were included if they implemented learning-based artificial intelligence as a core intervention component and reported quantitative psychological or biomedical outcomes. Sixteen studies met eligibility criteria. The findings indicated that 62.5% of included studies employed randomized controlled trial designs. Fourteen of sixteen studies reported statistically significant short-term reductions in depression or anxiety symptoms. Supervised machine learning and natural language processing were the most frequently applied approaches. Biomedical indicators such as heart rate variability and sleep metrics were typically used as secondary exploratory outcomes rather than primary endpoints, and external validation of artificial intelligence models was uncommon. AI-powered digital mental health systems demonstrated consistent short-term psychological benefits; however, biomedical integration and long-term validation remained limited. Strengthening methodological rigor and multimodal integration was necessary to enhance clinical applicability
Implementasi Platform CRM sebagai Upaya Peningkatan Kepuasan Pelanggan pada Pelaku UMKM Riska Suryani; Ady Nugroho; Christosie Wahyudi; Endro Sariono; Esa Putri; Hadi Jayusman; Rosyid Al-Hakim
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 3 No. 2 (2026): Vol. 3 No. 2 (2026): Jurnal Kolaborasi Riset Sarjana Volume 3 Nomor 2 Mei 2026
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Abstract

The digital transformation of Micro, Small, and Medium Enterprises (MSMEs) requires not only the adoption of digital marketing but also effective customer relationship management to enhance business competitiveness. However, many MSMEs still manage customer data manually, resulting in limited customer engagement and inconsistent service quality. This community service program aimed to implement a Customer Relationship Management (CRM) platform to improve customer satisfaction among MSMEs. The program involved ten MSMEs operating in the trade and culinary sectors through a series of activities consisting of needs assessment, CRM training, platform implementation, mentoring, and evaluation. Data were collected using questionnaires, observations, and customer satisfaction surveys. The effectiveness of the program was evaluated using descriptive statistical analysis based on participants' competency improvement and customer satisfaction scores. The results demonstrated significant improvements in participants' understanding of CRM concepts, customer database management, customer interaction recording, and the utilization of CRM features. Furthermore, customer satisfaction achieved a very good category across all evaluation indicators, indicating that CRM implementation contributed positively to service quality, communication effectiveness, and customer experience. This community service program demonstrates that implementing a digital CRM platform, supported by continuous mentoring, is an effective strategy to strengthen MSMEs' digital capabilities and improve customer-oriented business management in the digital era.
Jejaring Agensi Budaya dalam Batik Music Festival 2019: Analisis Actor-Network Theory di Candi Prambanan Assalova Zahra
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 3 No. 2 (2026): Vol. 3 No. 2 (2026): Jurnal Kolaborasi Riset Sarjana Volume 3 Nomor 2 Mei 2026
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Abstract

Culture-based art festivals can be a meeting space between local identity, the creative industry, technology, and destination promotion, but their value is often explained only through the role of humans. The 2019 Batik Music Festival brought together batik, Prambanan Temple, and popular music in a cultural tourism event that required wearing batik attributes. This study aims to explain how the relationship between human actors, non-human actors, and artworks shapes the organization and meaning of the Batik Music Festival based on Actor-Network Theory. The research uses a qualitative-descriptive approach with a case study; data were collected through literature review, event documentation, and organizer interview quotes found in the initial manuscript. The analysis results show that the success of the festival is not only determined by the performers, audience, sponsors, and event organizers, but also by Prambanan Temple, batik attributes, the stage, lighting, sound system, walkie-talkies, Wi-Fi, cameras, as well as music and batik works. Thus, the Batik Music Festival can become a model for developing culture-based tourism events that integrate identity preservation, contemporary experiences, business opportunities, and destination promotion. The analysis results show that the success of the festival is not only determined by the performers, audience, sponsors, and event organizers, but also by Prambanan Temple, batik attributes, the stage, lighting, sound system, walkie-talkies, Wi-Fi, cameras, as well as music and batik works. Thus, the Batik Music Festival can become a model for developing culture-based tourism events that integrate identity preservation, contemporary experiences, business opportunities, and destination promotion.
Peran Biro Perjalanan Wisata dalam Meningkatkan Kunjungan Wisata Ke Edupark Alaska Karanganyar Laksana Nugraha
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 3 No. 2 (2026): Vol. 3 No. 2 (2026): Jurnal Kolaborasi Riset Sarjana Volume 3 Nomor 2 Mei 2026
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Abstract

This research was conducted to analyze the role of travel agencies in supporting the increase of tourist visits to Edupark Alaska, Karanganyar. The research method used was descriptive qualitative. Data were collected through in-depth interviews, observation, and documentation involving the management of Edupark Alaska and partner travel agencies in the Solo Raya region. The results of the study indicate four main roles of travel agencies in increasing tourist visits to Edupark Alaska: (1) arranging and selling educational tour packages; (2) establishing mutually beneficial promotional collaborations; (3) providing accurate information on attractions and amenities. These four roles facilitate market access, particularly for educational tours by school groups, as well as support the wider distribution of destination information. These findings confirm that synergistic collaboration between destination managers and travel agencies has the potential to support the increase of tourist visits to Edupark Alaska.
Digital Psychophysiology: Integrasi AI dalam Data Perilaku, Kognitif, dan Biomedis untuk Pemantauan Kesehatan Mental Yuli Dwi Hartanto; Annastasya Nabila Elsa Wulandari
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 3 No. 2 (2026): Vol. 3 No. 2 (2026): Jurnal Kolaborasi Riset Sarjana Volume 3 Nomor 2 Mei 2026
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Abstract

Advances in digital sensor technology and artificial intelligence (AI) are expanding approaches to mental health monitoring through continuous data collection in everyday settings. Smartphones, wearable sensors, and digital monitoring systems enable the acquisition of behavioral, physiological, and cognitive data that can reflect an individual’s emotional dynamics, stress levels, mood changes, and psychological state. This article presents a narrative literature review that synthesizes developments in the integration of psychophysiological data and AI in digital mental health monitoring. The review covers various data sources, including neural signals, physiological indicators from wearable sensors, behavioral patterns obtained through smartphone sensing, and psychometric indicators. The analysis also covers AI approaches for multimodal data processing, ranging from machine learning and deep learning architectures to multimodal fusion strategies. The literature indicates that integrating various modalities through AI approaches has the potential to yield a more comprehensive representation of mental state dynamics by linking biological responses, daily behavioral patterns, and cognitive indicators. Despite this potential, the development of digital mental health systems still faces challenges related to dataset limitations, the heterogeneity and synchronization of multimodal data, model generalization, as well as issues of privacy and algorithmic transparency. This synthesis positions digital psychophysiology as an integrative framework that links psychophysiological measurements, digital phenotyping, and AI-based analytics to support the development of adaptive, multimodal, and sustainable mental health monitoring systems

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