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Nugroho, Agung Yuliyanto
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Forecasting Beef Production with Comparison of Linear Regression and DMA Methods Based on n-th Ordo 3 Tundo, Tundo; Yel, Mesra Betty; Nugroho, Agung Yuliyanto
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 8, No 4 (2024): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v8i4.24706

Abstract

Beef is considered a high-value commodity because it is an important food source of protein. Interest in beef is increasing along with increasing people's incomes and awareness of the importance of fulfilling nutrition. Demand for beef is expected to continue to increase. According to the Central Statistics Agency (CSA), beef production in Jakarta shows an increasing trend every year. In the last 10 years, beef production has increased significantly, but in 2020 there was a decrease in production of 7,240.68 tons due to the lockdown due to the corona virus outbreak. After that, in 2021, production reached 16,381.81 tons and will continue to increase in 2022 and 2023. Based on the above phenomenon, the aim of this research is to support the success and sustainability of the beef industry by ensuring that supply matches demand, resources are used optimally, and risks can be managed well. To predict beef production, an accurate method, model or approach is needed. One way to predict beef production in Jakarta is to use the Linear Regression and Double Moving Average (DMA) methodsThe way the Linear Regression and DMA methods work is to forecast based on concepts and properties. The concepts and properties of Linear Regression are models, functions, estimates and forecasting results, while DMA performs time series analysis based on moving averages. After analysis using MAPE, it was found that the algorithm that had the smallest error value was the linear regression algorithm with a percentage for the monthly period of 15% while for the year period it was 17% compared to DMA. So in this case it would be very appropriate to use the Linear Regression method from the error values obtained.
The Impact of TikTok Marketing on Consumer Motivation and Purchase Decisions for Tourism Products in Labuan Bajo Widilestari, Christine; Masriah, Masriah; Nugroho, Agung Yuliyanto; Putrianti, Flora Grace; Anshoriyah, Sofiyatul
International Journal of Economics (IJEC) Vol. 4 No. 2 (2025): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijec.v4i2.1466

Abstract

This study aims to describe the impact of social media, specifically TikTok, on advertising and marketing in Labuan Bajo's tourism industry. The study was conducted in Labuan Bajo with approximately 100 respondents, and data was collected and analyzed quantitatively to assess the influence of social media on consumer behavior and purchasing decisions. This study examines the effectiveness of TikTok as a promotional and marketing tool in encouraging consumers to purchase tourism products in Labuan Bajo. The findings indicate that TikTok is a viable promotional medium that can have a significant impact on consumer decision-making when it comes to culinary products. The use of this social media platform has a notable influence on the tourism industry in Labuan Bajo
PERAN PEMASARAN DIGITAL BERBASIS ELECTRONIC WORD OF MOUTH (e-WOM) DALAM MENINGKATKAN DAYA TARIK DAN KUNJUNGAN WISATAWAN KE DESA WISATA TETEBATU, LOMBOK TIMUR NUSA TENGGARA BARAT Sanjaya, Lalu Rudi; Wulandari, Lastiani Warih; Syamsu, Moch. Nur; Nugroho, Agung Yuliyanto
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4116

Abstract

Abstract: Tourism is a vital sector that supports regional economic development. Lombok, particularly East Lombok Regency, has experienced an increase in tourist visits annually, although there was a significant decline in 2020 due to the COVID-19 pandemic. Tetebatu Tourism Village possesses substantial tourism potential, but the dissemination of information remains limited, resulting in underutilization of digital platforms such as social media. This study aims to examine the influence of electronic word of mouth (e-WOM) as a digital marketing medium on tourist visits through the mediating variable of visit interest to Tetebatu Tourism Village. This research employs a quantitative associative method with a sample of 350 respondents selected using purposive sampling. Data were collected through questionnaires and analyzed using Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) approach. The results show that e-WOM has a significant influence on tourists’ visit interest, indicated by a significance value of 0.000 < 0.05. However, e-WOM does not directly influence tourist visits (significance 0.140 > 0.05). Nevertheless, e-WOM significantly influences tourist visits through the mediating effect of visit interest (significance 0.008 < 0.05). In conclusion, e-WOM as a digital marketing tool effectively increases visit interest, which in turn contributes to greater tourist visits to Tetebatu Tourism Village Keywords: e-WOM, Interest, Visits, Tourist Abstrak: Pariwisata merupakan sektor penting dalam mendukung pembangunan ekonomi daerah. Lombok, khususnya Kabupaten Lombok Timur, menunjukkan peningkatan jumlah wisatawan setiap tahun, meskipun sempat menurun pada 2020 akibat pandemi COVID-19. Desa Wisata Tetebatu memiliki potensi besar dalam sektor wisata, namun penyebaran informasi masih minim, sehingga belum dimanfaatkan secara optimal melalui media sosial. Penelitian ini bertujuan untuk mengetahui pengaruh electronic word of mouth (e-WOM) sebagai media pemasaran digital terhadap kunjungan wisatawan melalui minat berkunjung ke Desa Wisata Tetebatu. Metode penelitian ini bersifat kuantitatif asosiatif dengan jumlah sampel 350 responden, menggunakan teknik purposive sampling. Data dikumpulkan melalui kuesioner dan dianalisis menggunakan Structural Equation Modeling (SEM) berbasis Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa e-WOM berpengaruh signifikan terhadap minat wisatawan dengan nilai signifikansi 0,000 < 0,05. Namun, e-WOM tidak berpengaruh langsung terhadap kunjungan wisatawan (signifikansi 0,140 > 0,05). Sementara itu, terdapat pengaruh signifikan e-WOM terhadap kunjungan wisatawan melalui minat berkunjung (signifikansi 0,008 < 0,05). Dengan demikian, e-WOM efektif digunakan untuk meningkatkan minat yang berdampak pada peningkatan kunjungan ke Desa Wisata Tetebatu. Kata kunci: e-WOM, Minat, Kunjungan, Wisatawan
INTEGRASI BISNIS INKLUSIF DAN COMMUNITY-BASED TOURISM DI LOMBOK TENGAH Firdaus, M. Surya Maulana; Widiyanto, Nur; Syamsu, Moch. Nur; Nugroho, Agung Yuliyanto; Suswanto, Suswanto
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4117

Abstract

Abstract: Community-Based Tourism/CBT is a tourism approach that places the community as the main actor. In order for economic and social benefits to be more evenly distributed, an implementation model with an inclusive business approach is needed in its management. This study aims to analyze the implementation of inclusive business in the development of CBT in Sukarara and Bilebante Tourism Villages, Central Lombok. The research method used is qualitative descriptive, with data collection techniques in the form of interviews, observations, and documentation. The results of the study indicate that Sukarara Village has succeeded in implementing the principles of inclusive business through strengthening local weaving businesses, training, access to capital, and partnerships with the tourism sector. In contrast, Bilebante Village still faces obstacles in institutional capacity and market access even though it has the potential for local herbal businesses. The conclusion of this study shows that the implementation of inclusive business can strengthen the development of CBT fairly and sustainably if supported by cross-sector collaboration, increasing community capacity, and policies that favor locality. This study contributes to strengthening the theory of inclusive business in the tourism sector and offers applicable policy recommendations for the development of tourist villages. Keywords: Inclusive Business, Community-Based Tourism, Tourism Village, Community Empowerment Abstrak: Community-Based Tourism/CBT merupakan pendekatan pariwisata yang menempatkan masyarakat sebagai pelaku utama. Agar manfaat ekonomi dan sosial lebih merata, diperlukan model penerapan dengan pendekatan bisnis inklusif dalam pengelolaannya. Penelitian ini bertujuan untuk menganalisis implementasi bisnis inklusif dalam pengembangan CBT di Desa Wisata Sukarara dan Bilebante, Lombok Tengah. Metode penelitian yang digunakan adalah kualitatif deskriptif, dengan teknik pengumpulan data berupa wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa Desa Sukarara telah berhasil menerapkan prinsip bisnis inklusif melalui penguatan usaha tenun lokal, pelatihan, akses modal, serta kemitraan dengan sektor pariwisata. Sebaliknya, Desa Bilebante masih menghadapi kendala dalam kapasitas kelembagaan dan akses pasar meskipun memiliki potensi usaha herbal lokal. Kesimpulan dari penelitian ini menunjukkan bahwa implementasi bisnis inklusif dapat memperkuat pengembangan CBT secara adil dan berkelanjutan jika didukung oleh kolaborasi lintas sektor, peningkatan kapasitas masyarakat, dan kebijakan yang berpihak pada lokalitas. Penelitian ini memberikan kontribusi terhadap penguatan teori bisnis inklusif di sektor pariwisata serta menawarkan rekomendasi kebijakan yang aplikatif untuk pengembangan desa wisata. Kata kunci: Bisnis Inklusif, Community-Based Tourism, Desa Wisata, Pemberdayaan Masyarakat
STRATEGI PERSONALISASI PRODUK UMKM KULINER TRADISIONAL DI YOGYAKARTA DENGAN METODE RFM DAN K-MEANS CLUSTERING Liyan, Sur; Yulianto, Dwi Hery; Nugroho, Agung Yuliyanto
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4324

Abstract

Abstract: Traditional culinary Micro, Small, and Medium Enterprises (MSMEs) face significant challenges in retaining customers amidst digital competition. This study aims to formulate an effective product personalization strategy for MSMEs by utilizing customer transaction data. We applied the RFM (Recency, Frequency, Monetary) model combined with the K-Means Clustering algorithm to transaction data from 200 culinary MSME customers in Yogyakarta. The analysis results show that customers can be grouped into four homogeneous segments: VIP Customers, Loyal Customers, Potential Customers, and Risky Customers. Based on the unique characteristics of each segment, relevant marketing strategies are formulated, such as exclusive loyalty programs for VIP Customers and reactivation campaigns for Risky Customers. This study contributes by providing a practical, data-driven methodology for MSMEs to improve their retention and marketing effectiveness, filling the existing research gap in the traditional culinary MSME sector. Keyword: RFM (Recency Frequency, Monetary),K-Means Clustering, VIP Abstrak: Usaha Mikro, Kecil, dan Menengah (UMKM) kuliner tradisional menghadapi tantangan besar dalam mempertahankan pelanggan di tengah persaingan digital. Penelitian ini bertujuan untuk merumuskan strategi personalisasi produk yang efektif bagi UMKM dengan memanfaatkan data transaksi pelanggan. Kami menerapkan model RFM (Recency, Frequency, Monetary) yang dikombinasikan dengan algoritma K-Means Clustering pada data transaksi dari 200 pelanggan UMKM kuliner di Yogyakarta. Hasil analisis menunjukkan bahwa pelanggan dapat dikelompokkan menjadi empat segmen homogen: Pelanggan VIP, Pelanggan Setia, Pelanggan Potensial, dan Pelanggan Berisiko. Berdasarkan karakteristik unik setiap segmen, dirumuskan strategi pemasaran yang relevan, seperti program loyalitas eksklusif untuk Pelanggan VIP dan kampanye reaktivasi untuk Pelanggan Berisiko. Penelitian ini berkontribusi dengan menyediakan metodologi praktis berbasis data bagi UMKM untuk meningkatkan retensi dan efektivitas pemasaran mereka, mengisi kesenjangan penelitian yang ada pada sektor UMKM kuliner tradisional.
Perancangan Model Customer To Bussinees Pada Pemesan Service Kendaraan Bermotor Berbasis Website Interaktif Nugroho, Agung Yuliyanto; Sutopo, Joko
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 3 No. 8: Juli 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v3i8.4448

Abstract

Kendaraan bermotor merupakan alat yang paling dibutuhkan sebagai media transportasi. Pesatnya kemajuan zaman membuat kendaraan bermotor sangat dibutuhkan sebagai media transportasi. Salah satu faktor yang dapat mengakibatkan masalah dalam kendaraan bermotor adalah mendapati kendaraan rusak dijalan. Kota jogja adalah sebuah kota wisata dengan budaya yang khas yang selalu meninggalkan kesan dihati dan tidak pernah sepi dari turis, baik turis domestik maupun mancanegara. Para pelaku usaha yang bergerak dibidang service kendaraan bermotor telah melakukan promosi melalui media masa seperti surat kabar dan pamflet, akan tetapi cara tersebut belum cukup untuk menginformasikan bengkel kendaraan secara meluas kepada wisatawan lokal maupun asing karena itu melalui pengembangan customer to bisnis pada pemesanan layanan service kendaraan bermotor diharapkan dapat menampilkan gambaran peta lokasi, harga suku cadang dan teknisi yang handal, Sehingga lebih memudahkan customer secara luas. Perancangan peta yang ditampilkan dalam sistem ini menggunakan Html geolocation, perangkat lunak yang digunakan dalam membangun aplikasi ini adalah PHP (Pear Hypertext Prepocessor) sebagai bahasa pemograman.
Comparison Of The Naïve Bayes Algorithm And The Decision Tree On Sentiment Analysis Of Student Comment Data In The Digital Teacher Assessment (DITA) Application Kristanto, Ferat; Nugroho, Agung Yuliyanto
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 3 No. 9: Agustus 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v3i9.4575

Abstract

Telkom Purwokerto Vocational High School (SMK) is a school managed by the Telkom Education Foundation. They use Digital Teacher Assessment (DITA) apps. Students provide comments to the teacher using the DITA application. The collected comment data will be grouped into three categories, namely positive, negative, and neutral. Based on the category of comments requires sentiment analysis in grouping these comments. Sentiment analysis uses lexicon-based. After getting sentiment analysis using lexicon-based, then the words are weighted using TF-IDF and then classified and evaluated. This study uses an algorithm naïve Bayes and a decision tree. So the results of the comparative research on the accuracy of the naïve Bayes algorithm and the decision tree with the decision tree algorithm have the highest level of accuracy, namely 99%. So it can be concluded that using the decision tree algorithm is better at classifying student comment sentiment analysis data.
Community Decision Support Service System Village Level Mandiri Based On An Interactive Website Nugroho, Agung Yuliyanto; Shimbun, Annisa Fikria; Rohman, Nur
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i4.13760

Abstract

AbstrakSetiap desa wajib memberikan pelayanan yang baik kepada masyarakat umum dalam hal penulisan surat, pendataan penduduk, dan kebutuhan lainnya yang berhubungan dengan pelayanan kantor desa. Proses tersebut tetap mengharuskan warga untuk datang dan mengikuti prosedur untuk mendapatkan surat tersebut. Dalam hal ini, surat tersebut tidak dapat diproses dalam satu hari karena sering kali kepala desa yang berwenang untuk menandatangani surat tidak berada di tempat karena sedang bertugas keluar daerah. Jadi tunggulah keesokan harinya atau tunggu konfirmasi via Wats app dari bagian administrasi desa Kadilangon untuk datang dan mengambil surat yang telah diproses. Proses ini membutuhkan waktu yang lebih lama untuk melakukan dan mendapatkan pelayanan serta dokumentasi surat yang diserahkan oleh warga desa Kadilangon. Proses pelayanan surat yang diserahkan secara online ini untuk memudahkan warga dalam hal proses pengajuan dan bagi pegawai sendiri agar mempermudah proses dokumentasi dan pelaporan surat. Penulis membuat sebuah sistem informasi pelayanan masyarakat di desa Kadilangon. Dalam sistem ini, warga dapat mengajukan surat perizinan secara online. Diharapkan dengan adanya sistem ini proses pengajuan surat menjadi lebih cepat dan mudah karena sistem dapat diakses dari mana saja. Dengan adanya sistem pengabdian masyarakat ini diharapkan dapat meningkatkan kualitas proses pelayanan kepada masyarakat Desa Kadilangon.Kata Kunci: Sistem Pakar, Layanan, Informasi, Sistem.
Penerapan Metode Double Moving Average Untuk Memprediksi Penjualan Tiket Bus Sinar Jaya Po Tambun Tundo, Tundo; Nugroho, Agung Yuliyanto; Saidah, Andi
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 2 (2025): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Sinar Jaya Autobus Company (PO) is one of the buses engaged in the tourism business that sells and provides community needs such as bus tickets. This PO requires forecasting in data processing to produce accurate reports. The reason for this is because PO Bus Sinar Jaya in determining the demand for bus tickets cannot predict availability. Based on these reasons, the design of this system uses the Double Moving Average (DMA) forecasting method for the forecasting process in determining the amount and type of availability that will be sold for the following month. By using this calculation method it is hoped that the owner of PO Sinar Jaya will further optimize the things that can be detrimental to this PO in operating. If sales increase each month, using the DMA method, sales predictions for the next three months can be determined, the higher the number of ticket requests on the PO Sinar Jaya Bus, so that the forecasting results can help the PO to avoid running out of tickets according to consumer demand. Based on the research that has been carried out, it can be concluded that the Sinar Jaya PO Tambun bus ticket sales forecast using the Double Moving Average (DMA) method obtained the smallest MAPE value calculation results in order 2, namely 0.004599299 and the smallest MAPE value in order 3, namely 0.000614191. Comparison of the results of MAPE value calculations to determine the accuracy of forecasting results carried out with order 2 and order 3, it is proven that order 3 is more accurate for determining the error percentage results in this study.
Health Information Technology Management Model to Improve User Performance and Satisfaction  yuniati, Nining; Nugroho, Agung Yuliyanto
Jurnal Teknokes Vol. 18 No. 4 (2025): Desember
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v18i4.123

Abstract

The rapid development of digital technology has reshaped the way healthcare institutions manage information, deliver services, and support clinical decisions. Despite these advances, many hospitals still struggle with inefficiencies resulting from weak Health Information Technology (HIT) governance and limited user skills. Most existing approaches prioritize technical deployment while paying less attention to managerial, organizational, and behavioral factors that are essential for sustainable success. To overcome these limitations, this study introduces and empirically evaluates a comprehensive Health Information Technology Management (HITM) model that combines strategic IT governance, system quality, and user dimensions to improve satisfaction and performance among healthcare professionals. The research examines how governance mechanisms, system quality, and user capabilities affect satisfaction and performance. The specific objectives are to identify the key drivers of system quality, evaluate the relationship between system quality and user satisfaction, and examine how satisfaction impacts user performance. The study contributes theoretically by presenting a more integrated framework that unites concepts from IT governance, Information Systems Success Theory, and Technology Acceptance Theory. It also offers empirical evidence of the importance of managerial structures in driving successful digital transformation in healthcare settings. A survey involving healthcare personnel from three public hospitals in Indonesia was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results demonstrate strong model validity, accounting for 65% of the variance in user satisfaction and 59% of the variance in performance, with predictive relevance (Q²) values of 0.47 and 0.52, respectively. These outcomes demonstrate that mature governance, leadership support, cross-unit collaboration, and systematic user training enhance system quality, satisfaction, and ultimately performance. Future studies should expand testing in broader healthcare contexts with different resource conditions.
Co-Authors Abdul Malik Akbar, Riolandi Albadri, Albadri Anshoriyah, Sofiyatul Apriyanto, Apriyanto Betty Yel, Mesra Christine Widilestari Dina Destari Firdaus, M. Surya Maulana Flora Grace Putrianti Herryani, Herra Hidayat, Noura Rizqyaannisa Ignatius Septo Pramesworo Joko Triyono Kristanto, Ferat Larisu, Zulfiah Liyan, Sur masriah masriah, masriah Musa Hefer Smas Nasim, Abu Sahman Nugroho, Dwi Yoso Nur Rohman Raule, Jean Henry Saidah, Andi Sanjaya, Lalu Rudi Shimbun, Annisa Fikria Sisca Cletus Lamatokan Sitti Hasnah Sri Yulianto Fajar Pradapa Sudiro, Syawal Suswanto Suswanto, Suswanto Sutopo, Joko Syamsu, Moch. Nur Titik Haryanti Tundo, Tundo Waahib, Achmad Nashrul Wajnah, Wajnah Widiyanto, Nur Wulandari, Lastiani Warih Yulianto, Dwi Hery Yuniati, Nining