Abstract:Abstract: The business world changes from time to time from industrial revolution 1.0 to industrial revolution 4.0. Entrepreneurs must be prepared to face these changes. Therefore, the Center of Bioindustry Entrepreneurial…
al Capacity Development (PPKWB) provided assistance and guidance to all tenants through a training program that was purposed so that tenants are ready to face change and prepared to make better changes for themselves and their environment. The methods used in this training were preparation, implementation, and evaluation. Preparations were made so that the implementation of the activity runs smoothly. The activities are carried out online with the Zoom application. The evaluation of participants was conducted by distributing questionnaires. The results were used to evaluate the implementation of the program by the team. In general, the tenants of the Faculty of Bioindustry had benefited from the training provided by PPKWB. Tenants are very satisfied with the topics given, the delivery method, and the general implementing activities process. The technical obstacles faced during the program were the timeliness of implementation, unstable network, and insufficient technical equipment for participants.
Keywords: bioindustry; change; entrepreneur; tenant; training
Abstrak: Dunia usaha berubah dari waktu ke waktu mulai revolusi industri 1.0 hingga revolusi industri 4.0. Wirausaha harus bersiap menghadapi perubahan tersebut. Oleh karena itu, Pusat Pengembangan Kapasitas Wirausaha Bioindustri (PPKWB) memberikan pendampingan dan pembinaan kepada semua tenant melalui pelatihan. Hal ini dimaksudkan agar mereka siap menghadapi perubahan dan bersiap melakukan perubahan untuk diri sendiri dan lingkungan sekitar untuk menjadi lebih baik. Metode yang digunakan dalam pelatihan ini yaitu persiapan, pelaksanaan, dan evaluasi. Persiapan dilakukan agar pelaksanaan kegiatan berjalan dengan lancar. Pelaksanaan kegiatan dilakukan secara online melalui aplikasi zoom. Evaluasi terhadap peserta dilakukan dengan membagikan kuesioner dan hasilnya dijadikan dasar untuk evaluasi pelaksanaan kegiatan oleh tim. Secara umum, para tenan Fakultas Bioindustri merasakan manfaat dari pelatihan yang diberikan oleh PPKWB. Tenant-tenant sangat puas terhadap topik yang diberikan, cara penyampaian hingga proses pelaksanaan kegiatan secara umum. Kendala teknis yang dihadapi selama pelaksanaan yaitu ketepatan waktu pelaksanaan, jaringan yang tidak stabil, serta perangkat teknis peserta yang tidak mencukupi..
Kata kunci : bioindustri; pelatihan; perubahan; tenant; wirausaha
Abstract:Abstract: Educational Counseling in Increasing the Interest of Santri / wati to Continue Education to Higher Education aims to provide knowledge to students about the Higher Education system and the introduction of several…
al campuses and scholarships provided by the government to encourage the government's mission of entrepreneur santri. Of course, the students have different talents and abilities. So it is necessary to have an approach or self-evaluation of what interests will be chosen to continue to higher education. This counseling opportunity becomes an arena to motivate students to continue their education at higher education. He also explained that lectures are not only related to knowledge but also determine the future which will determine a better life. On this occasion the community service team presented various information including describing what study programs and faculties are available. In addition, what is important information is information related to tertiary entry pathways. There are three pathways described, namely the SMPTN, SBMPTN, SPMB, and achievement pathways. Keywords: education; extension; students.
Abstrak: Penyuluhan Pendidikan Dalam Meningkatkan Minat Santri/wati Untuk Melanjutkan Pendidikan ke Perguruan Tinggi bertujuan untuk memberikan pengetahuan kepada santri-santriwati tentang sistem Pendidikan Tinggi dan pengenalan beberapa kampus serta beasiswa yang disediakan pemerintah demi terdorongnya misi pemerintah santri entrepreneur. Para santri tentu memiliki bakat dan kemampuan yang berbeda-beda. Sehingga perlu adanya pendekatan atau evaluasi diri minat apa yang akan dipilih untuk melanjutkan ke perguruan Tinggi. Kesempatan penyuluhan ini menjadi ajang untuk memotivasi para santri untuk bisa melanjutkan pendidikan di perguruan tinggi. Juga menjelaskan bahwa perkuliahan tidak hanya mengejar terkait ilmu tapi menentukan masa depan yang nantinya akan menjadi penentu kehidupan yang lebih baik. Pada kesempatan kali ini tim pengabdian masyarakat memaparkan berbagai infor-masi diantaranya menjabarkan prodi dan fakultas apa saja yang ada. Selain itu yang menjadi infromasi penting adalah informasi terkait jalur masuk perguruan tinggi. Ada tiga jalur yang dipaparkan yakni jalur SMPTN, SBMPTN, SPMB, dan juga jalur prestasi.
Kata kunci: pendidikan; penyuluhan; santri.
Abstract:Abstract: Nagari Pariangan as the most beautiful tourist village in the world has a place to help the community's economy, increase local revenue (PAD). Local industrial products that have been owned by the community can…
become souvenirs for visiting tourists. However, in fact Nagari Pariangan does not have the media to promote it. This study aims to analyze the convergence of media in marketing the local industrial handicraft products of the community. This research approach is descriptive qualitative, with data collection methods, namely by means of observation and interviews and literature review. The results of this study reveal that Nagari Pariangan is an area with tourism potential that has become the spotlight of the world, there is a need for a media that helps the community in introducing local Nagari products in order to increase local community income. The main key to convergence is digitization, Nagari Pariangan does not yet have digital media as a forum for supporting community industrial output. Based on the 3C technology dimension (Communication, Compute and Contents), which consists of the IT Industry, Telcom Infrastructure Provides, and the Content Industry. Nagari Pariangan is considered capable of building a digitalized medium, in order to be able to make the economy of the people in areas that have tourism potential much better.
Keywords: convergence; craft produk; media
Abstrak: Nagari Pariangan sebagai desa wisata terindah dunia memiliki wadah untuk membantu perekonomian masyarakat, menambah pendapatan asli daerah (PAD). Hasil Industri lokal yang selama ini dimiliki oleh masyarakat bisa menjadi oleh-oleh bagi wisatawan yang berkunjung. Namun, pada kenyataanya Nagari pariangan belum memiliki media dalam mempromosikannya. Penelitian ini bertujuan untuk melakukan analisis konvergensi media dalam memasarkan produk kerajinan industri lokal masyarakat. Metode penelitian ini adalah kualitatif deskriptif, dengan metode pengumpulan data yaitu dengan cara observasi dan wawancara serta kajian literatur. Hasil dari penelitian ini mengungkapkan bahwa Nagari Pariangan merupakan daerah dengan potensi wisata yang sudah menjadi sorotan dunia, dan perlu adanya sebuah media yang membantu masyarakat dalam memperkenal produk lokal nagari agar bisa menambah pendapatan masyarakat setempat. Kunci utama konvergensi adalah digitalisasi, Nagari Pariangan belum memiliki media digital sebagai wadah dalam mendukung hasil industri masyarakat. Berdasarkan dimensi teknologi 3C (Communication, Compute and Contents), yang terdiri dari IT Industry, Telcom Infrastructure Provides, serta Content Industry. Nagari Pariangan dirasa mampu untuk membangun sebuah media yang digitalisasi, agar mampu menjadikan ekonomi masyarakat di daerah yang memiliki potensi wisata jauh lebih baik.
Kata kunci: konvergensi; media; produk kerajinan
Abstract:Abstract: The exclusive breastfeeding coverage in the work area of North Community Health Center (Puskesmas Purwokerto Utara) 2 had only reached 76% by mid-2020. To pursue the target of achieving 90% by the end of the year,…
ar, cross-sectoral cooperation is needed. Lecturers of The Communication Science Study Program of Universitas Amikom Purwokerto took the initiative as facilitators by partnering with North Community Health Center staff to conduct a community service as an implementation of the Tri Dharma of Higher Education. In this event, the facilitators conducted socialization and training methods for health cadres on how to communicate assertively with breastfeeding mothers by emphasizing acceptance, empathy, support and openness. The training was carried out for one week, included four villages within the Community Health Center working area, namely Grendeng, Bancarkembar, Sumampir and Pabuwaran. This community service has a good impact to the health cadres and The Community Health Center. The 90% target of exclusive breastfeeding will be reviewed by the end of 2021. However, the health cadres and The Community Health Center have more self-confidence to convince breastfeeding mothers to look after their children better by giving them the exclusive breastfeeding. In turn, the target will be achieved.
Keywords: assertive communication; cross sectorial cooperation; exclusive breastfeeding.
Abstrak: Cakupan ASI Eksklusif di wilayah kerja Puskesmas Purwokerto Utara 2 baru mencapai 76% pada pertengahan tahun 2020. Untuk mencapai target 90% cakupan ASI Eksklusif pada akhir tahun, dibutuhkan kerjasama lintas sektoral. Dosen Program Studi Ilmu Komunikasi Universitas Amikom Purwokerto berinisiatif menjadi fasilitator dengan bermitra dengan Puskesmas dalam melakukan pengabdian masyarakat sebagai bentuk pelaksanaan Tri Dharma Perguruan Tinggi. Pada kegiatan ini fasilitator menggunakan metode sosialisasi dan pelatihan kepada kader kesehatan tentang bagaimana berkomunikasi secara asertif dengan mengedepankan penerimaan, empati, dukungan dan keterbukaan kepada ibu menyusui. Pelatihan dilakukan selama satu minggu, dan meliputi empat desa yang berada dalam wilayah kerja puskesmas, yaitu Grendeng, Bancarkembar, Sumampir dan Pabuwaran. Pengabdian kepada masyarakat ini mempunyai dampak baik terhadap kader kesehatan dan Puskesmas. Target 90% ibu menyusui memberikan ASI eksklusif akan direview pada akhir tahun 2021. Namun, para kader kesehatan dan Puskesmas merasa lebih percaya diri dapat meyakinkan kepada para ibu menyusui untuk dapat memberikan ASI eksklusif kepada anak-anaknya dan pada gilirannya target tersebut dapat tercapai.
Kata kunci: ASI eksklusif; kerja sama lintas sektoral; komunikasi asertif
Abstract:Abstract The low number and results of researchers forms the basis of the need for programs to boost research interest for the community. One of the efforts made by utilizing the Google Forms application in the research…
ch organization in creating the Science Event (LKTI). The method used is by selecting the manuscript, percentage and judging. The results of the activity decided three winners as champions 1,2 and 3 based on the results of the jury's assessment of the finalists. Participants who won were given awards in the form of trophies, certificates, and coaching money. The activity ran smoothly with the hope that in the future the interest of the community to research will increase and the research work will be better.
Keyword: Google Forms; LKTI; Researchers Organization
Abstrak
Rendahnya jumlah peneliti dan hasil riset menjadi dasar perlunya program untuk menggenjot minat riset bagi masyarakat. Salah satu upaya yang dilakukan dengan pemanfaatan aplikasi Google Forms pada organisasi peneliti dalam membuat program Science Event (LKTI). Metode yang digunakan yaitu dengan menseleksi naskah, presentase dan penjurian. Hasil kegiatan memutuskan tiga pemenang sebagai juara 1,2 dan 3 berdasarkan hasil penilaian dewan juri kepada para finalis. Peserta yang juara diberikan penghargaan berupa trophy, sertifikat, dan uang pembinaan. Kegiatan berjalan dengan lancar dengan harapan kedepan minat masyarakat untuk meneliti semakin meningkat dan karya penelitiannya semakin baik.
Kata kunci: Google Formulir; LKTI; Organisasi Peneliti
Abstract:This study aimed to compare the performance of machine learning algorithms and user experience in predicting students’ academic achievement. The research is motivated by the need for prediction systems that are not only…
y highly accurate but also easily interpretable by users. The proposed methodology involved the implementation of two algorithms, namely Decision Tree and Random Forest, using an academic dataset that included grade point average, attendance, and assessment scores. Model performance was evaluated using accuracy, precision, recall, and F1-score, while user experience was assessed through the System Usability Scale (SUS) based on a simple user interface. The findings revealed that Random Forest achieved higher predictive accuracy, whereas Decision Tree provided better interpretability and ease of understanding for users. These results indicated a trade-off between model performance and user experience, suggesting that algorithm selection should consider both aspects in order to develop an effective and user-friendly academic prediction system
Abstract:Abstract: Anomalous sound detection is essential for industrial predictive maintenance, as machine failures often originate from subtle acoustic changes during operation. However, high background noise and limitations of…
conventional Convolutional Neural Networks (CNN) reduce detection reliability. This study proposes a 1D-CNN-based anomaly detection framework with multi-view feature fusion and temporal segmentation to enhance detection performance. The approach combines MFCC, Log-Mel Spectrogram, and Chroma STFT features, while temporal segmentation divides audio signals into 5-second segments to better capture transient anomalies. Experiments on the MIMII dataset under varying Signal-to-Noise Ratio (SNR) conditions show that MFCC and Log-Mel fusion achieves the best performance, with 97.90% accuracy and ROC-AUC of 0.9789. The model maintains accuracy above 90% at −6 dB, demonstrating strong robustness in noisy industrial environments.
Keywords: industrial anomaly detection; 1D-CNN; multi-view feature fusion; temporal segmentation; MIMII dataset.
Abstrak: Deteksi anomali suara merupakan komponen penting dalam sistem pemeliharaan prediktif industri, karena kegagalan mesin sering diawali oleh perubahan akustik yang bersifat halus selama proses operasi. Namun, tingkat kebisingan yang tinggi serta keterbatasan arsitektur Convolutional Neural Network (CNN) konvensional dapat menurunkan keandalan deteksi. Penelitian ini bertujuan mengusulkan kerangka deteksi anomali berbasis 1D-CNN yang mengintegrasikan strategi fusi fitur multi-view dan segmentasi temporal untuk meningkatkan kinerja deteksi. Pendekatan yang digunakan menggabungkan fitur MFCC, Log-Mel Spectrogram dan Chroma STFT, sementara teknik temporal splitting membagi sinyal audio menjadi segmen berdurasi 5 detik untuk menangkap anomali yang bersifat sementara. Eksperimen menggunakan dataset MIMII pada berbagai kondisi Signal-to-Noise Ratio (SNR) menunjukkan bahwa kombinasi MFCC dan Log-Mel Spectrogram menghasilkan kinerja terbaik dengan akurasi 97,90% dan ROC-AUC sebesar 0,9789. Model juga mempertahankan akurasi di atas 90% pada kondisi kebisingan ekstrem (−6 dB) yang menunjukkan ketahanan yang baik dalam lingkungan industri yang bising.
Kata kunci: deteksi anomali industri; 1D-CNN; fusi fitur multi-view; segmentasi temporal; dataset MIMII
Abstract:Abstract: Obesity is an escalating global health concern, with unhealthy lifestyle patterns contributing significantly to its development. This study aims to evaluate and compare three clustering techniques for categorizing…
ing lifestyle patterns and obesity-related factors: K-Means, Agglomerative Clustering, and Gaussian Mixture Model (GMM). The data used in this study is sourced from the Food Nutrition dataset, which includes variables such as dietary habits, physical activity, and socio-economic status. The three clustering methods were assessed using evaluation metrics such as Silhouette Score, Davies-Bouldin Index (DBI), and Calinski-Harabasz Index (CHI). The findings revealed that K-Means exhibited the best performance in terms of cluster separation with a Silhouette Score of 0.5559, while GMM showed better flexibility in handling more complex data. Although Agglomerative Clustering produced acceptable results, it had a higher overlap between clusters compared to the other methods. This study offers valuable insights into selecting the most appropriate clustering technique based on the data characteristics.
Keywords: agglomerative; clustering; GMM; k-means; lifestyle patterns; obesity
Abstrak: Obesitas menjadi masalah kesehatan yang semakin meningkat di seluruh dunia, dengan pola hidup yang tidak sehat berperan besar dalam perkembangannya. Penelitian ini bertujuan untuk membandingkan tiga metode clustering dalam mengelompokkan pola gaya hidup dan faktor yang memengaruhi obesitas, yaitu K-Means, Agglomerative Clustering, dan Gaussian Mixture Model (GMM). Data yang digunakan diperoleh dari dataset Food Nutrition yang mencakup informasi terkait pola makan, aktivitas fisik, serta faktor sosial-ekonomi. Ketiga metode tersebut diuji dengan menggunakan beberapa metrik evaluasi, seperti Silhouette Score, Davies-Bouldin Index (DBI), dan Calinski-Harabasz Index (CHI). Hasil penelitian menunjukkan bahwa K-Means memiliki kinerja terbaik dalam hal pemisahan klaster, dengan nilai Silhouette Score sebesar 0.5559, sementara GMM lebih fleksibel dalam menangani data yang lebih kompleks. Meskipun Agglomerative Clustering memberikan hasil yang dapat diterima, tumpang tindih antar klaster lebih besar dibandingkan dengan kedua metode lainnya. Penelitian ini memberikan pemahaman yang lebih baik mengenai pemilihan metode clustering yang tepat berdasarkan karakteristik data yang digunakan.
Kata kunci: agglomerative; clustering; GMM; k-means; obesitas; pola gaya hidup
Abstract:This study analyzes the acceptance of teachers and ASN employees of the SINAGA (Sistem Informasi Layanan Kepegawaian) attendance application at SMA Negeri 1 Jatilawang using a modified Technology Acceptance Model (TAM).…
The model was extended by incorporating two external variables: Information Quality and Complexity. This explanatory quantitative research employed the Structural Equation Modeling–Partial Least Square (SEM-PLS) method involving 60 respondents who are civil servants, consisting of teachers and administrative staff. The results reveal that Information Quality has a positive and significant influence on both Perceived Usefulness (PU) and Perceived Ease of Use (PEOU), while Complexity does not show a significant effect on either variable. Furthermore, PEOU and PU have a positive impact on Attitude Toward Use (ATU), which subsequently affects Behavioral Intention to Use (BIU). Behavioral intention, in turn, strongly influences Actual Use (AU). These findings indicate that teachers’ acceptance of the SINAGA digital attendance system in educational settings is primarily driven by information quality and users’ positive attitudes rather than by system complexity. Theoretically, this study contributes to the expansion of TAM application in the educational context. Practically, it provides valuable insights for improving the effectiveness of SINAGA implementation through better information quality and enhanced user experience.
Abstract:Abstract: The policy to increase the Rural and Urban Land and Building Tax (PBB-P2) in Indonesia often elicits mixed reactions from the public. Some support it because they believe it can strengthen regional fiscal capacity,…
ity, while others reject it because they are concerned that it will increase the economic burden on the community. Understanding public sentiment towards this policy is important for evaluating the effectiveness of the policy and formulating appropriate communication strategies. This study aims to analyze public sentiment towards the PBB-P2 increase policy using data uploaded on Platform X (Twitter). The data were collected through crawling with the keyword “building tax,” then processed through several preprocessing stages before classifying tweets into positive and negative sentiments. Two models were used: Support Vector Machine (SVM) and Bidirectional Long Short-Term Memory (BiLSTM). Results show that SVM outperformed BiLSTM, achieving training accuracy of 99.4% and testing accuracy of 85.9%, with accuracy 0.8595, precision 0.8536, recall 0.8595, and F1-score 0.8449. Meanwhile, BiLSTM achieved training accuracy of 86.9% and testing accuracy of 82.9%, with accuracy 0.8294, precision 0.8150, recall 0.8294, and F1-score 0.8080. These findings suggest SVM is more effective in classifying public sentiment and can support better evaluation of regional tax policies.
Keywords: sentiment analysis; PBB-P2; BiLSTM; SVM; X platform
Abstrak: Kebijakan kenaikan tarif Pajak Bumi dan Bangunan Perdesaan dan Perkotaan (PBB-P2) di In-donesia sering memunculkan beragam reaksi dari masyarakat. Sebagian mendukung karena dianggap dapat memperkuat kapasitas fiskal daerah, sementara lainnya menolak karena kha-watir menambah beban ekonomi masyarakat. Pemahaman terhadap sentimen publik atas ke-bijakan tersebut penting untuk mengevaluasi efektivitas kebijakan dan merumuskan strategi komunikasi yang tepat. Penelitian ini bertujuan menganalisis sentimen masyarakat terhadap kebijakan kenaikan PBB-P2 menggunakan data unggahan di Platform X (Twitter). Data dik-umpulkan melalui proses crawling dengan kata kunci “pajak bangunan” kemudian diproses melalui beberapa tahap preprocessing sebelum diklasifikasikan menjadi sentimen positif dan negatif. Dua model digunakan dalam penelitian ini, yaitu Support Vector Machine (SVM) dan Bidirectional Long Short-Term Memory (BiLSTM). Hasil penelitian menunjukkan bahwa SVM memiliki kinerja lebih baik dibandingkan BiLSTM, dengan akurasi pelatihan 99,4% dan akurasi pengujian 85,9%. Nilai akurasi 0,8595, precision 0,8536, recall 0,8595, dan F1-score 0,8449. Sementara itu, BiLSTM memperoleh akurasi pelatihan 86,9% dan akurasi pengujian 82,9%, dengan akurasi 0,8294, precision 0,8150; recall 0,8294; dan F1-score 0,8080. Temuan ini menunjukkan bahwa SVM lebih efektif dalam mengklasifikasikan sentimen publik serta dapat mendukung evaluasi kebijakan pajak daerah dengan lebih baik.
Kata kunci: analisis sentimen; PBB-P2; BiLSTM; SVM; platform X