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All Journal Jurnal Teknologi dan Manajemen Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JATI (Jurnal Mahasiswa Teknik Informatika) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat IJIIS: International Journal of Informatics and Information Systems JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Jurnal Teknologi Informasi dan Komunikasi Journal of Applied Data Sciences Nusantara Hasana Journal International Journal for Applied Information Management Naratif : Jurnal Nasional Riset, Aplikasi dan Teknik Informatika Jurnal Rekayasa Informasi CSRID Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Saturnus: Jurnal Teknologi dan Sistem Informasi International Journal of Information Engineering and Science Journal of Digital Market and Digital Currency Journal of Current Research in Blockchain International Journal Research on Metaverse
Bangkit, Jeffri Prayitno
Universitas AMIKOM Purwokerto
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Analisis Kepuasan Pengguna Terhadap Aplikasi Dolan Banyumas Menggunakan Metode End User Computing Satisfaction (EUCS) dan DeLone and McLean Fadillah, Septiya Nur; Hidayah, Debby Ummul; Saputra, Jeffri Prayitno Bangkit
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 3 (2024): October 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.16.3.2024.344-366

Abstract

Technology has an important role in modern life, including in the tourism sector. The Dolan Banyumas application, which was launched by the Banyumas district Youth, Sports, Culture and Tourism Department, is one of the innovations to improve the regional tourism experience. The Dolan Banyumas application was created to make it easier for travelers to find a guide to enjoy the beauty of Banyumas with complete facilities. This research aims to identify problem points experienced by users and propose potential improvements for the application. Apart from that, this research also aims to determine the level of user satisfaction with the Dolan Banyumas application and examine several factors that have an influence on user satisfaction. This research uses the End User Computing Satisfaction (EUCS) and DeLone and McLean methods. The population in this study were users of the Dolan Banyumas application in the Banyumas district, with 82 respondents being the research sample. Data analysis was carried out using PLS-SEM with Microsoft Excel tools for demographic data and SmartPLS for statistical analysis. The research results show that the Dolan Banyumas application has several problem points that need to be improved, such as content, accuracy, format, ease of use, system quality and service quality variables which show a low level of satisfaction. However, the timeliness and information quality variables show a good level of satisfaction. So it can be concluded that the factors that influence user satisfaction with the Dolan Banyumas application use the End User Computing Satisfaction (EUCS) and DeLone and McLean methods, namely information quality and timeliness.
Pengenalan Digital Marketing Bagi Siswa PKBM Kartika di Kecamatan Pengadegan Kabupaten Purbalingga Priambodo, Aji; Metris, Diksi; Wakhidah, Esti Nur; Prakoso, Riyan Dwi Yulian; Saputra, Jeffri Prayitno Bangkit
Abdimas Galuh Vol 6, No 1 (2024): Maret 2024
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v6i1.13283

Abstract

Pusat Kegiatan Belajar Masyarakat (PKBM) adalah lembaga pendidikan nonformal yang berfokus pada pemberdayaan masyarakat melalui program pembelajaran, khususnya bagi siswa yang telah putus sekolah dan berkekurangan secara finansial. Salah satu program utama yang ditawarkan oleh PKBM Kartika adalah pelatihan digital marketing, yang bertujuan untuk meningkatkan potensi siswa dan mengembangkan kreativitas. Tujuan dari kegiatan ini adalah agar siswa PKBM dapat mengembangkan kemampuan mereka dalam memanfaatkan platform digital seperti WhatsApp Business dan Instagram Ads untuk kebutuhan bisnis. Dalam pengabdian masyarakat ini, diberikan pengenalan mengenai digital marketing kepada siswa PKBM, memberikan pengetahuan dan keterampilan yang relevan dengan bisnis digital saat ini, dengan fokus pada tips dan optimalisasi WhatsApp Business dan Instagram Ads. Dengan pengetahuan dan keterampilan yang diperoleh, diharapkan siswa PKBM dapat menjadi lebih kompeten dalam mengelola bisnis sendiri atau meningkatkan kemampuan untuk dapat bersaing di dunia kerja.
Modeling the Impact of Holidays and Events on Retail Demand Forecasting in Online Marketing Campaigns using Intervention Analysis Saputra, Jeffri Prayitno Bangkit; Kumar, Aayush
Journal of Digital Market and Digital Currency Vol. 1 No. 2 (2024): Regular Issue September
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jdmdc.v1i2.9

Abstract

This study explores the impact of holidays and events on retail demand forecasting using intervention analysis within a SARIMAX model framework. Retail demand forecasting is critical for inventory management and supply chain optimization. Traditional forecasting models often struggle to account for irregular events like holidays, leading to inaccuracies. This study aims to address these limitations by incorporating holidays and events as exogenous variables in the forecasting model. The dataset, consisting of retail sales records across multiple product categories, was preprocessed to handle missing values and standardize date formats. Binary indicators for state holidays and school holidays were created, along with temporal features like the day of the week and hour of the day. The stationarity of the time series was confirmed using the Augmented Dickey-Fuller (ADF) test, with a statistic of -48.67066391486136 and a p-value of 0.0. The SARIMAX model (1, 1, 1)x(1, 1, 1, 24) was developed and evaluated. The model achieved an Akaike Information Criterion (AIC) of 363321.861 and a Bayesian Information Criterion (BIC) of 363375.269. Key coefficients included the state holiday variable at 0 (p-value: 1.000000) and the school holiday variable at 165.2158 (p-value: 0.919689), though neither were statistically significant. Diagnostic checks revealed significant non-normality and heteroscedasticity in the residuals. Forecasting accuracy was assessed using Mean Absolute Error (MAE: 8057.069376036054) and Mean Squared Error (MSE: 809008799.3517022). The Mean Absolute Percentage Error (MAPE) was not computable due to division by zero. Visualizations comparing forecasted versus actual demand highlighted the model’s strengths in capturing general trends and seasonal patterns but indicated challenges in accurately predicting demand during holidays and events. The study underscores the importance of incorporating holidays and events into demand forecasting models and suggests further refinement and the inclusion of additional variables for improved accuracy. Future research should explore alternative modeling approaches and validate findings across multiple datasets to enhance the generalizability and robustness of the forecasting tools.
Analysis of Blockchain Transaction Patterns in the Metaverse Using Clustering Techniques Saputra, Jeffri Prayitno Bangkit; Putri, Nadya Awalia
Journal of Current Research in Blockchain Vol. 1 No. 1 (2024): Regular Issue June
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jcrb.v1i1.10

Abstract

This study investigates the application of various clustering techniques on a metaverse transaction dataset to identify patterns and groupings. The clustering algorithms evaluated include K-Means, DBSCAN, Gaussian Mixture Model (GMM), Mean Shift, Spectral Clustering, and Birch. The performance of these algorithms is assessed using three metrics: Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index. Among these algorithms, K-Means demonstrated the best overall performance, achieving the highest Silhouette Score (0.4702) and Calinski-Harabasz Index (151946.29), as well as the lowest Davies-Bouldin Index (0.6600), indicating well-defined and compact clusters. DBSCAN, while flexible, showed lower performance with a Silhouette Score of 0.1673, a Davies-Bouldin Index of 1.0084, and a Calinski-Harabasz Index of 4231.19. GMM achieved a Silhouette Score of 0.2453, a Davies-Bouldin Index of 1.3626, and a Calinski-Harabasz Index of 23011.20. Spectral Clustering had a Silhouette Score of 0.1668, a Davies-Bouldin Index of 2.0986, and a Calinski-Harabasz Index of 11830.24. Birch achieved a Silhouette Score of 0.2363, a Davies-Bouldin Index of 1.4967, and a Calinski-Harabasz Index of 21375.76. Mean Shift could not provide valid performance metrics. Visualizations, including histograms, box plots, and count plots, provided additional insights into the distribution of numerical features and cluster characteristics. This study highlights the need for tailored clustering approaches and suggests future research directions in hybrid models as well as the impact of feature selection and scaling methods on clustering outcomes.
The Impact of Market Activity on Property Valuations in Digital Real Estate Through a Quantitative Analysis of Bidding and Sales Dynamics Saputra, Jeffri Prayitno Bangkit; Putri, Nadya Awalia
International Journal Research on Metaverse Vol. 1 No. 2 (2024): Regular Issue September
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijrm.v1i2.11

Abstract

This study investigates the impact of market activities, specifically the number of bids and sales, on property prices in digital real estate markets. With the rise of virtual environments and digital assets, understanding the factors that drive property valuations in these markets has become increasingly important. Utilizing a dataset of 2,000 property transactions, this research employs correlation and regression analyses to explore how competitive bidding and sales frequency influence prices. The results indicate a significant positive correlation (r=0.38r = 0.38r=0.38) between the number of bids a property receives and its final sales price, suggesting that properties attracting more bids are perceived as more valuable, leading to higher prices. The regression analysis further supports this, showing that each additional bid is associated with an increase of 6.63×10216.63 \times 10^{21}6.63×1021 in the sales price (p
Sistem Informasi Geografis Pemanfaatan Aset Tanah Daerah Di Dinas Perumahan Dan Pemukiman Kabupaten Purbalingga Toni Anwar; Jeffri Prayitno Bangkit; Andri Laksono
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 19 No. 2 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v19i2.514

Abstract

Pemerintah dapat meningkatkan efektivitas operasi administratif dengan bantuan TIK. E-Government dianggap memberikan cara bagi pemerintah untuk melakukan inovasi kegiatan operasional untuk melayani masyarakat dengan lebih kompeten. Kabupaten Purbalingga memiliki aset tanah yang diperbolehkan untuk dimanfaatkan oleh OPD (Organisasi Perangkat Daerah) dan masyarakat umum. Masyarakat umum banyak yang belum mengetahui bahwa asset tanah tersebut boleh di manfaatkan dan letak asset-aset tanah tersebut hanya bisa dilihat di Kantor Dinas Perumahan dan Pemukiman. Permasalahan selanjutnya adalah prosedur dalam pengajuan pemanfaatan tanah yang terdiri dari beberapa tahap pengajuan berkas dan waktu tunggu untuk verifikasi data yang lama. Penelitian ini bertujuan untuk membuat Sistem Informasi Geografis (GIS) berbasia website dan android. Permasalahan prosedur pemanfaatan aset tanah yang mempunyai beberapa tingkatan merupakan kenadala yang umum di lingkungan pemerintahan. Framework yang diguanakan dalam pembuatan Scrum. Tahapan yang terdapat pada framework scrum adalah analisis situasi yang berlangsung di objek penelitian Tahap selanjutnya adalah pelaksaan pengembangan sistem informasi geografis yang terdiri dari, Analisis kebutuhan, Product Backlog dan proses Sprint sampai semua product backlog sudah selesai. Hasil penelitian ini adalah Sistem Informasi Geografis Pemanfaatan Aset Tanah Daerah yang dapat membantu pihak Dinas Perumahan dan Pemukiman dalam mensosialisasi, memfasilitasi dan mempermudah proses penyewaan aset tanah daerah.
Pelatihan digital marketing bagi warga belajar Paket C di Pusat Kegiatan Belajar Masyarakat (PKBM) Kartika di Kabupaten Purbalingga Jeffri Prayitno Bangkit Saputra; Hanenda Putri Zamora; Putri Vidia Lestari; Rahayu Linda Kusuma; Tarwoto Tarwoto
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 4 (2024): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i4.27401

Abstract

AbstrakPendidikan nasional memiliki subsistem pendidikan, yaitu pendidikan formal, pendidikan non-formal, dan pendidikan informal. Pendidikan nasional memiliki subsistem pendidikan yaitu pendidikan nonformal salah satu bentuk penyelenggaraan pendidikan non-formal yaitu Pusat Kegiatan Belajar Masyarakat (PKBM). PKBM Kartika merupakan salah satu penyelenggara PKBM di Kabupaten Purbalingga yang menyelenggarakan Program Pendidikan Kesetaraan, yang terdiri dari Paket B dan Paket C. Kendala pada mata pelajaran keterampilan berwirausaha di PKBM Kartika adalah materi pemasaran produk agar omset meningkat, sedangkan warga belajar PKBM Kartika belum memiliki keterampilan dalam memasarkan menggunakan teknologi (Digital Marketing) dan tutor PKBM belum terampil praktik pemasaran produk dengan memanfaatkan kemajuan teknologi digital (Digital Marketing). Upaya penggunaan digital marketing dapat dilakukan menggunakan media sosial yang terkemuka seperti Instagram, Facebook, X, Youtube dan berbagai macam platform media sosial lainnya. Kegiatan pelatihan dilaksanakan pada hari Rabu, 9 Oktober 2024 dengan tujuan kegiatan pengabdian untuk meningkatkan keterampilan warga belajar dan Tutor PKBM Kartika dalam pemasaran produk dan jasa dengan memanfaatkan teknologi (Digital Marketing). Setelah dilaksanakan kegiatan pelatihan disimpulkan bahwa pemahaman warga belajar PKBM Kartika tentang digital marketing mengalami peningkatan. Kata kunci: PKBM; teknologi; digital marketing AbstractNational education has educational subsystems, namely formal education, non-formal education, and informal education. National education has a subsystems of education, one of which is non-formal education, and one form of organizing non-formal education is the Community Learning Center (PKBM). PKBM Kartika is one of the organizers of PKBM in Purbalingga Regency that conducts the Equal Education Program, which consists of Package B and Package C. The challenge in the entrepreneurship skills subject at PKBM Kartika is the marketing material to increase sales, while the learners at PKBM Kartika do not yet have the skills to market using technology (Digital Marketing), and the tutors at PKBM are not skilled in practicing product marketing by utilizing advancements in digital technology (Digital Marketing). Efforts to utilize digital marketing can be carried out using prominent social media platforms such as Instagram, Facebook, X, YouTube, and various other social media platforms. The purpose of this community service activity is to enhance the skills of learners and tutors at PKBM Kartika in marketing products and services by utilizing technology (Digital Marketing). After the training activities were conducted, it was concluded that the understanding of digital marketing among the PKBM Kartika learners had improved. Keywords: PKBM; technology; digital marketing
Co-Authors Aji Priambodo Andri Laksono Arifah Budi Hidayah Bernarte, Racidon P Dede Ari Putragani Dendi Putra Prakoso Diya Ulhaq Jauhari Budiarto Dominic Dinand Aristo Dwi Puji Lestari, Dwi Puji El Syafangatun Aulia Difa El Syafangatun Aulia Difa Fadil Tazakka Pribadi Fadillah, Septiya Nur Farah Setyaningsih Farah Setyaningsih Fariz Nur Fikri Zaki Fiby Nur Afiana Fiby Nur Afiana Ford Lumban Gaol, Ford Lumban Hanenda Putri Zamora Hani, Nurul Harjanto Prabowo Hertono, Gatot Fatwanto Hidayah, Debby Ummul Hidayat, Muhammad Taufik Nur Ika Romadoni Yunita Ito Setiawan Iwan Haryatno Khalidy, Shodiq Kumar, Aayush M Afrian Maulana Metris, Diksi Muhamad Awiet Wiedanto Prasetyo Muhammad Taufik Hidayat Nurhidayah, Isnaeni Nurul Afifah Prakoso, Riyan Dwi Yulian Putri Awaliatuz Zahra Putri Vidia Lestari Putri, Nadya Awalia Rahayu Linda Kusuma Rahayu, Silvia Anggun Ramadhani, Sekar Ajeng Retno Waluyo Riyanto Riyanto Satria Dwi Nurwicaksana Setyaningsih, Gustin Sigit Setoyoko Taqwa Hariguna Tarwoto Tarwoto Toni Anwar Trias Bratakusuma Ummul Hidayah, Debby Vidia Alma Cyrilla Wahyu Latifatun Wakhidah, Esti Nur Waluyo, Retno Wisnu Muamar Zanuar Rifai Zulfa Aulia2