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Showing 57 articles found for "Label"

RECONSTRUCTING QUR’AN-BASED DIGITAL COMMUNICATION ETHICS: A THEMATIC TAFSIR ANALYSIS OF QS. AL-HUJURAT VERSES 11–13 FOR STRENGTHENING CHARACTER EDUCATION

Tampubolon, Sintong, Fernando, Derri Adi, Ilahi, Afdhal
Abstract: The advancement of digital communication has generated a range of ethical challenges, including cyberbullying, insults, negative labeling, the dissemination of unverified information, privacy violations, digital ghibah (backbiting),… backbiting), polarization, and discrimination. These challenges call for an ethical framework that is not merely technical in nature but is also firmly grounded in Islamic values. This study aims to reconstruct a Qur’an-based digital communication ethics framework through a thematic analysis of Qur’anic interpretation of QS. Al-Hujurat verses 11–13 and to examine its relevance to strengthening character education. This qualitative study employs a library research approach using thematic Qur’anic interpretation, content analysis, and contextual analysis of the Qur’an, classical and contemporary exegetical works, as well as scholarly literature on digital communication and character education. The findings reveal that QS. Al-Hujurat verses 11–13 embody eight ethical principles that can be reconstructed within the context of digital communication: Dignity Protection, Respectful Communication, No Negative Labeling, Critical Verification, Privacy Protection, Responsible Speech, Inclusive Interaction, and Digital Equality. These eight principles are synthesized into the Qur’anic Digital Communication Ethics Framework (QDCEF), which comprises three overarching dimensions: Dignity, Responsibility, and Inclusion. The framework is further mapped onto the character values of respect, empathy, civility, tolerance, critical thinking, objectivity, trustworthiness, responsibility, integrity, justice, and self-control. These findings affirm that QS. Al-Hujurat verses 11–13 are relevant not only as a source of moral and character education but also as a conceptual foundation for reconstructing a digital communication ethics framework that bridges Qur’anic values with the demands of character education in the digital era. The proposed QDCEF thus offers a value-based conceptual framework for fostering ethical, responsible, inclusive, and character-oriented digital communication.

Gambaran Jenis Bahan Tambahan Pangan Pada Jajanan Ultra-Processed Food Siswa Sekolah Dasar

Paridah, Irma Yunawati, Nurhijrianti Akib, Akifah
Abstract: Identifikasi golongan dan jenis BTP pada jajanan UPF di lingkungan sekolah penting dilakukan sebagai dasar pengawasan keamanan pangan dan edukasi pemilihan jajanan sehat. Penelitian ini bertujuan untuk menggambarkan jenis… s jajanan UPF serta golongan dan jenis bahan tambahan pangan yang terdapat pada jajanan UPF yang tersedia di kantin SD Negeri 56 Kendari. Penelitian ini merupakan penelitian kuantitatif dengan desain deskriptif observasional yang dilaksanakan di SD Negeri 56 Kendari pada tahun 2026. Sampel penelitian sebanyak 28 produk jajanan UPF yang dipilih menggunakan teknik total sampling. Data dikumpulkan melalui observasi langsung dan identifikasi komposisi pada label pangan. Produk diklasifikasikan berdasarkan sistem NOVA, sedangkan bahan tambahan pangan diidentifikasi mengacu pada Peraturan Badan Pengawas Obat dan Makanan Republik Indonesia Nomor 11 Tahun 2019. Data dianalisis secara deskriptif menggunakan distribusi frekuensi dan persentase. Hasil penelitian menunjukkan bahwa kelompok jajanan yang paling banyak tersedia adalah biskuit/wafer, diikuti snack, mi instan, permen, minuman, cokelat, dan produk olahan lainnya. Golongan bahan tambahan pangan yang paling banyak ditemukan adalah pengemulsi, diikuti perisa, pewarna, penguat rasa (MSG), pengawet, pemanis, pengatur keasaman, dan pengembang. Jenis bahan tambahan pangan yang teridentifikasi antara lain lesitin kedelai, perisa sintetik, perisa identik alami, monosodium glutamat, tartrazin, kalium sorbat, sulfit, karmin, beta-karoten, annatto, asam sitrat, gelatin sapi, pektin, dan vanila. Jajanan yang tersedia di kantin SD Negeri 56 Kendari didominasi oleh produk UPF yang mengandung beragam golongan dan jenis bahan tambahan pangan. Temuan ini dapat menjadi dasar bagi sekolah dan pemangku kepentingan dalam memperkuat pengawasan keamanan pangan serta meningkatkan edukasi pemilihan jajanan yang lebih sehat bagi anak sekolah.

Bridging The Digital-Physical Divide: Transfer Learning For Unified Threat Correlation in Converged IT/OT/IOT Ecosystems

Dzreke, Simon Suwanzy
Abstract: The increased integration of operational technology (OT), Internet of Things (IoT), and business IT systems has allowed sophisticated attackers to circumvent isolated security features and launch cross-platform assaults.… Current fragmented techniques, with discrete detectors monitoring Modbus, Kubernetes, MQTT, or other domain-specific protocols, cannot handle cross-system risks. These methodologies overlook 68% of multi-vector marketing that uses both physical and digital channels. This study introduces a transfer learning architecture to integrate detection capabilities by correlating threats across protocols, devices, and settings. The architecture generates a unified feature space that extracts behavioral semantics from industrial control system logs, cloud telemetry, network traffic, and device-level signals to produce protocol-agnostic threat representations. Adversarial domain adaptation and semantic graph embeddings enable cross-domain knowledge transfer with minimum retraining. Security teams may now discover kill chains like infected cloud containers preceding illegal PLC command execution every 23 minutes. Validated against real-world attack datasets from water treatment facilities (OT) and cloud infrastructure (IT), the system achieved 93.4% cross-platform attack recall, a 41.3 percentage point improvement over prior methodologies. It reduced OT data labeling by 89% and false positives by 93.5%. This paradigm shift transforms threat correlation from a reactive, domain-specific process to adaptive intelligence, boosting resilience for critical infrastructure, industrial ecosystems, and smart environments facing cyber-physical hazards. The framework's practical validation in energy, industry, and vital infrastructure shows its importance in protecting an increasingly linked world.

PELATIHAN PEMBUATAN LABEL SESUAI SNI DALAM UPAYA PENINGKATAN DAYA SAING PRODUK OLAHAN PERIKANAN

Haqiqiansyah, Gusti, Doni Darmasetiadi, Zul Asman Randika, Wahyu Fahrizal
Abstract: Usaha Kecil Mikro dan Menengah (UMKM) menunjukkan fenomena yang relatif berkembang pada kondisi ekonomi yang kurang stabil.  Keberadaan UMKM perlu didorong dan dipantau secara seksama.  Satu di antara UMKM yang relatif berkembang… berkembang di Desa Saliki adalah usaha pengolahan hasil perikanan, seperti amplang dan kerupuk ikan.  Kegiatan pelatihan yang dilakukan pada pelaku UMKM ini bertujuan untuk meningkatkan daya saing produk.  Dengan pemberian label yang sesuai SNI, diharapkan mampu meningkatkan minat konsumen dan produk lebih dipercaya.  Hasil kegiatan pelatihan menunjukkan tanggapan yang positif dari peserta, karena masih belum sepenuhnya memahami hal apa saja yang perlu ditampilkan pada label. Melalui kegiatan pelatihan, pelaku UMKM telah mampu memperbaiki desain produk (label) menjadi lebih baik dan sesuai SNI.

CLASSIFICATION OF USER REVIEW SENTIMENT TOWARD PAYLATER SERVICES ON THE KREDIVO AND AKULAKU APPS USING NAÏVE BAYES

Parameswari, Sang Dara, Lubis, Muharman, Suakanto, Sinung
Abstract: PayLater services are one of the rapidly growing digital financial innovations widely utilised in fintech apps in Indonesia, including Kredivo and Akulaku. User reviews on the Google Play Store reflect a range of experiences,… nces, from satisfaction with the ease of use of the service to complaints regarding bills, interest rates, late payment fees, credit limits, and app performance. This study aims to classify the sentiment of user reviews regarding PayLater services on the Kredivo and Akulaku apps using the Multinomial Naïve Bayes algorithm. Data was collected via web scraping from the Google Play Store and automatically labelled based on user ratings, with ratings of 1-2 classified as negative sentiment and ratings of 4-5 as positive sentiment, whilst a rating of 3 was excluded as it was considered ambiguous. Following a preprocessing stage comprising cleaning, case folding, tokenisation, stopword removal, and stemming, as well as feature extraction using TF-IDF, 3,652 reviews were obtained with a training-to-test data split ratio of 80:20. The results indicate that positive sentiment dominates the dataset at 56.49%, whilst negative sentiment accounts for 43.51%. Analysis by application revealed that Kredivo was dominated by positive sentiment (68.20%), whilst Akulaku was dominated by negative sentiment (51.70%).  The Naïve Bayes multinomial model achieved an accuracy of 84.13%, with average precision, recall, and F1-score values of 0.84, demonstrating good and balanced classification performance across both sentiment classes.

IMPLEMENTATION OF THE NAIVE BAYES METHOD FOR CATERING SALES PREDICTION AT PT NEGARA RASA INDONESIA

Gulo, Benifati, Machfud, Syaeful
Abstract: This study discusses the implementation of the Naïve Bayes method to predict catering sales at PT.Negara Rasa Indonesia. The background of this study is based on the problem of suboptimal sales due to the absence of a structured… tructured sales prediction system. The Naïve Bayes method was chosen because of its simplicity, speed, and ability to classify data with a high degree of accuracy. The data used in this study is historical sales data from the last two years, which has undergone cleaning, labeling, and transformation into four sales categories, namely very popular, popular, fairly popular, and less popular. The testing process was carried out using RapidMiner software by dividing the dataset into training data and test data at various ratios of 80:20. The test results showed a very high level of accuracy, with the highest value reaching 91.41%. These findings prove that the Naïve Bayes method is reliable for predicting catering sales, thereby assisting decision-making in more efficient sales management and planning at PT. Negara Rasa Indonesia.

DAMPAK PRODUK UMKM YANG BERLABEL HALAL TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN MUSLIM

Wulandari, Aghnia, Octavia, Santi, Plasnajaya, Rizki
Abstract: Sejalan dengan program pemerintah dan adanya peraturan undang-undang mengenai jaminan dan kewajiban dari kepemilikan sertifikasi halal pada produk, maka ini  menjadi daya tarik sendiri bagi pelaku usaha untuk membangun nama… nama produk yang baik di mata konsumen . Urgensi label halal pada produk yang ditawarkan oleh UMKM sangat tinggi, khususnya bagi produk makanan. Artinya tidak hanya legalitas usaha yang dilirik oleh konsumen, tetapi label halal bagi sebagian konsumen telah menjadi pertimbangan tersendiri dalam memilih produk makanan yang hendak dikonsumsi.Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis Dampak Sertifikasi halal terhadap minat beli  konsumen pada produk UMKM . Usaha Kecil Menengah (UKM) memiliki peran yang cukup kuat dalam pembangunan ekonomi Indonesia dan dianggap sebagai motor penggerak perekonomian suatu daerah. Metode penelitian yang digunakan pada penelitian ini adalah kausalitas murni atau sebab akibat, oleh karena itu dijudul diawali kata dampak. Bentuk data yang diperoleh baik yang bersifat kuantitatif maupun yang bersifat kualitatif diteliti dengan menggunakan jenis penelitian deskriptif verifikatif.

Perbandingan Metode C45 dan Naive Baiyes untuk Sistem Prediksi Pemilihan Jurusan di SMK Muhammadiyah 10 Kisaran

Pertiwi, Dina, Khairunnisa, Damayanti, Sri
Abstract: This research is motivated by the large number of prospective students who simply choose a major when they want to enter a vocational school without considering their abilities. The Decision Tree or C45 method is used because… cause it is able to make decision trees that are easy to describe, and has a level of efficiency in handling discrete and numeric attribute data. While the Naive Bayes method is used because it has a high accuracy of results. This research was conducted based on data from students of SMK Muhammadiyah 10 Kisaran which contained questions about feelings of wrong majors, interests, and determinants of other majors. Data is divided into 2 labels, namely free labels (y) and bound labels (x). Followed by dividing the dataset into training data and testing data with a ratio of 70:30 in both methods to get the level of accuracy. From the results given, it can be seen that the C45 algorithm has an accuracy of 85% and the Naive Bayes algorithm has an accuracy of 26%. This shows that the C45 algorithm is more effective in classifying the available datasets compared to the Naive Bayes.

Psikoedukasi Peningkatan Pengetahuan Tentang Identitas Seksual Mahasiswa Magang

Muh. Nur Ruslan, Nur Arifah, Muh. Faqih Syadat, Kartika Cahyaningrum, Muh. Wija Hadi Perdana
Abstract: Stigma sosial terhadap ekspresi gender non-konformis seperti laki-laki feminin (label boti) di lingkungan magang menciptakan konflik identitas dan menghambat kinerja profesional mahasiswa akibat norma maskulinitas hegemonik… nik yang kaku. Pengabdian ini menerapkan psikoedukasi tatap muka kontekstual pada 12 mahasiswa magang menggunakan desain pre-experimental one-group pretest-posttest untuk meningkatkan pengetahuan identitas seksual, strategi coping stigma kerja. Metode mencakup diskusi kasus magang, role-playing simulasi rumah sakit, dan refleksi diri selama 120 menit. Hasil menunjukkan peningkatan pengetahuan signifikan dari mean pretest 4.17 menjadi posttest 7.00 (paired t-test sig=0.001), Psikoedukasi mengisi research gap transisi karier yang absen pada studi homoseksualitas umum atau kekerasan gender, menghasilkan model replikasi kurikulum magang inklusif nasional.

Strategi Pemasaran Melalui Redesain Kemasan Sebagai Upaya Meningkatan Penjualan di Rumah Kopi Banjarsengon Jember

Taufiqur Rohman, Ahmad Wildan Saputra Ramadhana, Toifur Ulum, Ahmad Fauzi
Abstract: Penelitian ini bertujuan untuk mengetahui dampak dari strategi pemasaran melalui redesain kemasan, serta peran redesain kemasan terhadap peningkatan penjualan di rumah kopi banjarsengon. Melalui pendekatan deskriptif dan… kualitatif penelitian ini mengeksplorasi strategi pemasaran berbasis redesain produk, dengan mengidentifikasi melalui analisis SWOT dengan kekuatan bahan baku dan kualitas produk, sementara kelemahan terdapat pada desain kemasan dan strategi pemasaran. Redesain kemasan dilakukan dengan mempertimbangkan preferensi konsumen,meningkatkan daya saing dan citra produk kemudian hasilnya adalah penjualan serta kemampuan menjangkau pasar baru yang lebih luas di media sosial dan bisa meningkatkan image brand. Selain itu hasil redesain kemasan ini menggambarkan komitmen Rumah Kopi Banjarsengon(RKB) dalam memperbarui produknya sesuai dengan perkembangan tren atau zaman, denan meperhatikan detail warna, ukuran, dan informasi yang disampaikan pada label kemasan.