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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Edukasi: Jurnal Pendidikan JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INVOTEK: Jurnal Inovasi Vokasional dan Teknologi IJIE (Indonesian Journal of Informatics Education) Seminar Nasional Teknologi Informasi Komunikasi dan Industri Dinamisia: Jurnal Pengabdian Kepada Masyarakat GERVASI: Jurnal Pengabdian kepada Masyarakat JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Journal of Applied Business and Technology Reflection: Education and Pedagogical Insights PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING Luxury: Landscape of Business Administration Interconnection: An Economic Perspective Horizon The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika
Wilda Susanti
Unknown Affiliation
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Transportation Other

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PENGEMBANGAN INOVASI PRODUK OLAHAN NANAS BERBASIS KEARIFAN LOKAL UNTUK PENINGKATAN DAYA SAING DAN EKONOMI Yulvia Nora Marlim; Achmad Tavip Junaedi; Nicholas Renaldo; Rizqon Jamil Farhas; Wilda Susanti
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol. 9 No. 3 (2025): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v9i3.9910

Abstract

KNS Restu dan Rimba sari merupakan Usaha Menengah Kecil dan Mikro (UMKM) yang berusaha dibidang pruduk olahan nanas. Kendala yang dihadapi mitra kekurangan aset yang menghambat proses produksi, kemampuan manajemen kurang baik serta pemasaran produk hanya melalui mulut kemulut dan digerai toko, sehingga produk belum banyak dikenal. Tujuan kegiatan Pengabdian ini adalah untuk meningkatkan keterampilan mitra sasaran KNS Restu dan Rimba sari dari segi manajemen, pemasaran dan produksi, sehingga nantinya dapat memajukan usaha dan mengakat produk unggulan daerah serta menciptakan lapangan kerja bagi masyrakat sekitar. Metode pelaksanaan kegiatan berupa sosialisasi, pelatihan, pendampingan dan pengadaan. Pelatihan yang telah dilaksanakan adalah pelatihan manajemen usaha, branding produk, penerapan teknologi dan pelatihan E-Commerce laku, pelatihan laporan pajak, pelatihan dan penerapan sistem catatan keuangan. Evaluasi yang dilakukan terhadap mitra terus mendampingi dan memantau mitra sasaran untuk konsisten dalam melaksanakan program, dapat dibuktikan dengan meningkatnya tingakat pengetahuan, keterampilan sebesar 75 % dan penjualan meningkat 50 %.
Big Data Analytics for Demand Forecasting in the Mushroom Supply Chain Nicholas Renaldo; Kristy Veronica; Achmad Tavip Junaedi; Suhardjo Suhardjo; Amries Rusli Tanjung; Sri Indrastuti; Wilda Susanti; Jaswar Koto; Sulaiman Musa; Nabila Wahid
Luxury: Landscape of Business Administration Vol. 4 No. 1 (2026): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v4i1.138

Abstract

The mushroom industry plays an increasingly important role in the agri-food sector due to rising demand for nutritious, functional, and sustainable food products. However, the mushroom supply chain faces significant challenges related to perishability, short shelf life, and demand uncertainty, which often result in inventory losses and inefficiencies. This study examines the role of big data analytics capability in enhancing demand forecasting accuracy and its impact on supply chain performance within the mushroom industry. Using a quantitative explanatory research design, data were collected through a structured questionnaire survey of mushroom supply chain actors, including producers, processors, distributors, and retailers. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that big data analytics capability has a significant positive effect on demand forecasting accuracy and supply chain performance. Furthermore, demand forecasting accuracy partially mediates the relationship between big data analytics capability and supply chain performance. These findings highlight the strategic importance of data-driven forecasting in managing demand uncertainty and improving operational efficiency in perishable agribusiness supply chains. This study contributes to the literature by extending big data analytics and demand forecasting research to the mushroom industry, providing both theoretical insights and practical implications for enhancing supply chain sustainability and competitiveness.
Creating Business Value through IoT-Based Waste Management Web Dashboard Wilda Susanti; Nicholas Renaldo; Achmad Tavip Junaedi; Mukhsin Mukhsin; Johan Johan; Yulvia Nora Marlim; Gusrio Tendra; Wahyu Joni Kurniawan; Fauzan Azim
Luxury: Landscape of Business Administration Vol. 4 No. 1 (2026): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v4i1.139

Abstract

The rapid growth of urbanization and industrial activities has increased the complexity of waste management operations within business organizations, leading to rising costs and managerial challenges. While the Internet of Things (IoT) has enabled real-time data collection in waste management, business value creation depends on how such data are integrated into managerial information systems. This study aims to develop and evaluate an IoT-based waste management web dashboard that supports operational monitoring and managerial decision-making to create business value. Using a Design Science Research (DSR) methodology, this study designs an integrated system that collects real-time waste volume data through IoT-enabled sensors and presents the information via a centralized web dashboard. The system is evaluated using a mixed approach combining operational performance indicators and user perceptions based on Information Systems Success Theory. The results indicate improvements in operational efficiency, resource allocation, and decision-making quality following system implementation. The findings demonstrate that the proposed web dashboard functions as a strategic managerial information system rather than a purely technical solution. By enhancing information quality and managerial control, the system contributes to business value creation through improved operational performance and supports digital transformation and sustainability-oriented business practices. This study contributes to the business and management literature by shifting the focus of IoT-based waste management research from technical performance to managerial relevance and value creation.
Public Sentiment on Indonesia’s MBG Budget Allocation: Twitter/X Analysis Using IndoBERT Model Muhammad Zamroni Uska; Rasyid Hardi Wirasasmita; Wilda Susanti; Yosi Nur Kholisho
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.17882

Abstract

The increasing use of social media has created opportunities to examine public opinion regarding government policies through sentiment analysis approaches. This study analyzes public sentiment toward the budget allocation of the Makan Bergizi Gratis (MBG) program in Indonesia using Twitter/X data and the IndoBERT model. Data were collected through keyword-based crawling techniques, resulting in 24,836 tweets, which were reduced to 18,742 tweets after preprocessing. The dataset was manually annotated into positive, negative, and neutral sentiment categories before being classified using IndoBERT. The evaluation results indicate that the proposed model achieved strong performance, with an accuracy of 92.41%, precision of 91.86%, recall of 92.03%, F1-score of 91.94%, and ROC-AUC value of 0.961. The findings reveal that negative sentiment dominated public discourse, primarily associated with concerns regarding fiscal sustainability, transparency, and policy priorities. Positive sentiment mainly emphasized nutritional benefits and educational welfare impacts. The study demonstrates that transformer-based NLP models are effective for analyzing Indonesian social media discourse and provides practical insights for evidence-based policymaking and digital governance evaluation.
Learning Smart Farming through IoT Prototypes, Educational Impacts of Smart Goat Housing Systems in Vocational Education Achmad Tavip Junaedi; Nicholas Renaldo; Wilda Susanti; Rangga Rahmadian Yuliendi; Wahyu Joni Kurniawan; Yulvia Nora Marlim; Kristy Veronica; Harry Patuan Panjaitan; Umar Faruq; Jahrizal Jahrizal
Reflection: Education and Pedagogical Insights Vol. 3 No. 1 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v3i1.141

Abstract

This study investigates the educational impacts of learning smart farming through Internet of Things (IoT)-based smart goat housing systems in vocational education. The rapid digital transformation of agriculture has created a growing demand for graduates with strong technological and applied competencies; however, the integration of real smart farming technologies into vocational curricula remains limited. To address this gap, this research employed a quasi-experimental design with a pretest–posttest non-equivalent control group to compare IoT prototype-based learning with conventional instructional approaches. The study involved vocational students enrolled in agriculture-related programs, where the experimental group engaged in project-based learning using an operational IoT-enabled smart goat housing system, while the control group received traditional instruction. The findings indicate that students exposed to IoT prototype-based learning demonstrated significantly higher improvements in digital competence, applied learning outcomes, and learning engagement compared to those in the control group. Qualitative insights further revealed that authentic interaction with real-time data and automated systems enhanced students’ understanding, motivation, and confidence in using digital technologies. These results highlight the pedagogical value of integrating real IoT prototypes into vocational education and confirm the effectiveness of experiential and technology-enhanced learning approaches in developing workforce-relevant competencies. This study contributes to vocational education literature by positioning livestock-based smart farming systems as effective learning media for digital agriculture education.
Developing Social Accounting Competencies through IoT-Based Goat Farming Learning Systems Suhardjo Suhardjo; Nicholas Renaldo; Achmad Tavip Junaedi; Kristy Veronica; Harry Patuan Panjaitan; Onny Setyawan; Wilda Susanti; Rahma Widi; Umar Faruq; Jahrizal Jahrizal
Reflection: Education and Pedagogical Insights Vol. 3 No. 1 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v3i1.142

Abstract

The digital transformation of agriculture has created new opportunities and challenges for accounting education, particularly in developing social accounting competencies related to sustainability and social responsibility. This study aims to examine the effect of an IoT-based goat farming learning system on the development of social accounting competencies in vocational and applied accounting education. Using a quantitative explanatory research design, this study integrates a technology-enhanced learning approach supported by real-time data generated from IoT-enabled goat farming systems. Data were collected from students participating in IoT-based learning activities and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results indicate that the IoT-based goat farming learning system has a positive and significant effect on social accounting competencies, including the ability to identify, measure, interpret, and report social and environmental impacts. The findings demonstrate that real-time livestock data provide an effective experiential learning environment that bridges the gap between abstract social accounting concepts and practical applications. This study contributes to accounting education literature by repositioning IoT-based livestock systems as pedagogical platforms rather than purely operational tools. The study also offers practical implications for educators, curriculum designers, and policymakers seeking to strengthen sustainability-oriented accounting education in digitally transformed agribusiness contexts.
INOVASI AROMA SMART DISTILLER DALAM MENDUKUNG KEMANDIRIAN EKONOMI MASYARAKAT BERBASIS SUMBER DAYA LOKAL Achmad Tavip Junaedi; Wilda Susanti; Nicholas Renaldo; Jahrizal Jahrizal; M. Dalil
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol. 10 No. 2 (2026): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v10i2.11064

Abstract

Minyak sereh merupakan komoditas minyak atsiri bernilai ekonomi tinggi yang berpotensi menjadi produk unggulan berbasis sumber daya lokal. Namun, proses penyulingan yang masih dilakukan secara konvensional menyebabkan efisiensi produksi rendah, konsumsi energi tinggi, serta kualitas minyak yang dihasilkan belum konsisten. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pemahaman masyarakat mengenai inovasi Aroma Smart Distiller sebagai teknologi penyulingan yang lebih efisien dan berkelanjutan. Metode pelaksanaan meliputi observasi, sosialisasi, dan diskusi partisipatif bersama UMKM Bunda Pat penyuling minyak sereh di Nagari Talaweh. Evaluasi menunjukkan peningkatan pengetahuan peserta pada seluruh indikator, dengan nilai rata-rata pre-test sebesar 56 meningkat menjadi 84 pada post-test atau naik 28 poin (50%). Hasil tersebut menunjukkan bahwa sosialisasi Aroma Smart Distiller efektif meningkatkan pemahaman masyarakat mengenai proses penyulingan, kualitas minyak atsiri, serta pemanfaatan teknologi untuk meningkatkan nilai tambah produk. Inovasi ini diharapkan mendukung penguatan ekonomi lokal melalui peningkatan daya saing minyak sereh secara berkelanjutan.
The Climate Compression Effect on Hybrid Educational Organizations Nicholas Renaldo; Achmad Tavip Junaedi; Nyoto Nyoto; Suhardjo Suhardjo; Wilda Susanti; Onny Setyawan; Rizaldi Putra; Yenny Wati; Gusrio Tendra; Jahrizal Jahrizal
Reflection: Education and Pedagogical Insights Vol. 4 No. 2 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v4i2.160

Abstract

The transformation of educational organizations into digitally connected and hybrid environments has expanded academic interaction across physical and digital spaces. While hybridization offers greater flexibility and connectivity, it may also reshape how organizational members experience interpersonal and academic climates. This study proposes the Climate Compression Effect (CLC Effect) as a new qualitative conceptual lens for understanding a subtle organizational phenomenon in which the presence or arrival of a particular individual is experienced as narrowing the psychological, interpersonal, and communicative space of other organizational members. The study employs a qualitative exploratory approach and positions CLC as a sensitizing concept rather than a predetermined theoretical model. The conceptual analysis indicates that climate compression may be experienced through increased caution in communication, reduced openness, diminished informal interaction, greater interpersonal formality, selective communication, and withdrawal, even in the absence of overt conflict or formal organizational disruption. The phenomenon is particularly relevant to hybrid educational organizations because interpersonal influence may extend across interconnected physical and digital environments, including classrooms, meetings, messaging platforms, email, learning management systems, and online meetings. The study distinguishes CLC from organizational conflict, psychological safety, and the chilling effect by emphasizing the broader perceived contraction of the organizational space in which members communicate and interact. The CLC Effect is therefore proposed as a sensitizing concept for future qualitative investigation of interpersonal climate dynamics in hybrid educational organizations.
Building Student Entrepreneurship Spirit Through Innovation Strategy Muliadi Rizki; Eddy Noviana; Masyitha Ramadhani; Rahma Widi; Wilda Susanti
Journal of Applied Business and Technology Vol. 7 No. 2 (2026): Jounal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/r50t3308

Abstract

This study consists of one variable, namely the Entrepreneurial Strategy of Community Education Students of FKIP Universitas Riau. The concept of the entrepreneurial strategy of community education students of FKIP Universitas Riau in question is an action plan prepared by entrepreneurs to achieve their business goals. This strategy includes strategic decisions and steps to develop, create, and grow a business, which is illustrated by: 1) Plan, 2) Pattern, 3) Position, and 4) Perspective. The subjects of this study amounted to 4 people who will be used as research information. The purpose of this research is to find out data and information about the Entrepreneurial Strategy of FKIP Students at Universitas Riau. The determination of the research subject is based on the consideration that the informant can provide the data and information needed in the research.
DUAL-LAYER ANTI-SPOOFING UNTUK SISTEM PRESENSI MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK DAN GEOFENCING HAVERSINE Yermis Duha; Gusrio Tendra; Wilda Susanti; Wahyu Joni Kurniawan; Nicholas Renaldo
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol. 10 No. 1 (2026)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v10i1.5906

Abstract

Sistem absensi berbasis web menghadapi dua vektor penipuan utama yaitu pemalsuan GPS dan pemalsuan biometrik melalui foto, video replay, atau deepfake berbasis AI. Solusi yang ada umumnya hanya mengatasi satu ancaman, meninggalkan celah keamanan yang kritis. Penelitian ini mengusulkan dan memvalidasi kerangka kerja keamanan dua lapis yang mencegah kedua ancaman secara bersamaan melalui Liveness Detection sisi klien dan geofencing sisi server. Liveness Detection menggunakan Convolutional Neural Network berbasis MobileNetV1 melalui pustaka face-api.js yang berjalan sepenuhnya di browser. Pengguna harus mempertahankan ekspresi senyum dengan probabilitas ?0,70 selama 1,5 detik sebelum absensi diaktifkan. Otentisitas lokasi diverifikasi di sisi server menggunakan Rumus Haversine dengan pengiriman melebihi radius 50 meter ditolak dengan HTTP 403. Sistem dikembangkan menggunakan metodologi Waterfall dengan backend Flask dan basis data SQLite. Evaluasi dilakukan melalui pengujian skenario keamanan terstruktur yang mengukur True Positive Rate (TPR), False Acceptance Rate (FAR), dan akurasi geofencing pada kondisi GPS stabil maupun koordinat yang dimanipulasi. Dari 40 percobaan liveness, sistem menghasilkan TPR 95%, FAR 0% terhadap serangan foto statis, dan akurasi geofencing 100% pada kondisi GPS stabil. Penelitian ini membuktikan secara nyata bahwa geofencing pada sisi klien dapat dilewati melalui Sensor Emulation browser dengan celah yang dieliminasi sepenuhnya oleh validasi sisi server. Kerangka kerja yang diusulkan memberikan ketahanan terhadap serangan presentasi dan penipuan lokasi tanpa instalasi aplikasi native. Temuan ini perlu divalidasi pada partisipan yang lebih besar, mengingat dataset terbatas pada 40 percobaan liveness dan 6 skenario geofencing. Penelitian lanjutan diprioritaskan pada ketahanan terhadap deepfake real-time dan mitigasi degradasi GPS dalam ruangan.
Co-Authors Achmad Tavip Junaedi Adiya, M. Hasmil Alyauma Hajjah Ambiya Ambiya Ambiyar, Ambiyar Amries Rusli Tanjung Andi Andi Bord Nandre Aprila Cecilia Cecilia Cecilia, Cecilia Darmanta Sukrianto Daulay, Suandi David David Deny Jollyta Desnelita, Yenny Dewi Nasien Dochi Ramadhani Dodi Sofyan Arief Dwi Oktarina Dwi Oktarina Eddy Noviana Erlin Fadrul Fadrul Fadrul Fadrul Fadrul, Fadrul Fauzan Azim Gusrianty Gusrianty Gusrio Tendra Gustientiedina Harry Patuan Panjaitan Hendra Ibaraki Herman Herman Ida Ayu Putu Sri Widnyani Jahrizal Jaswar Koto Jean Riko Kurniawan Putra Johan Johan Johan Johan Kholisho, Yosi Nur Koto, Jaswar Kristy Veronica Leonardo Yang M Dalil Marice Br Hutahuruk Marice Br Hutahuruk Marlim, Yulvia Nora Masyitha Ramadhani Monang Adi Candra Mukhsin Mukhsin Muliadi Rizki Musa, Sulaiman Nabila Wahid Nicholas Renaldo Nizwardi Jalinus Nyoto Onny Setyawan Purnama, Intan Rahma Widi Rahman, Sarli Ramadhani Ramadhani Ramalia Noratama Putri Ramdani Ramdani Rangga Rahmadian Yuliendi Rangga Rahmadian Yuliendi Rangga Rahmadian Yuliendi Rasyid Hardi Wirasasmita Rinaldy Rinaldy Rivaldo Famren Silaen Rizaldi Putra Rizqon Jamil Farhas Ronny Addenan Rudi Mulya Simeru, Arden Sri Indrastuti ST, M.A.B, Okto Fenta Riandi Suhardjo Suhardjo Suhardjo Sulaiman Musa Sulaiman Musa Sunarti , ST, M. Kom Teddy Chandra Torkis Nasution Torkis Nasution Umar Faruq Unung Verawardina Uska, Muhammad Zamroni Veronica, Kristy Wahid, Nabila Wahyu Joni Kurniawan Wahyu Joni Kurniawan Wakhinuddin Wakhinuddin Wakhinuddin Wakhinuddin, Wakhinuddin William William William, Peter Yandri Armi Yenny Wati Yermias Duha Yermis Duha Yuliendi, Rangga Rahmadian Yuliendi, Rangga Ramadian