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Halal Certification and Value Addition for MSME Products: A Literature Review on Government Initiatives and Regulatory Frameworks Sunarta, Desy Arum; Apriliani, Riski; Prasetya, Agung; Ramadhaningsih, Dwi
Malacca: Journal of Management and Business Development Vol. 2 No. 2 (2025): Management and Business Development
Publisher : Yayasan Pendidikan Islam Bustanul Ulum Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69965/malacca.v2i2.185

Abstract

This study aims to explore the role of halal certification in enhancing the value of Micro, Small, and Medium Enterprises (MSMEs) products through a review of existing literature and policy frameworks in Indonesia. The research adopts a qualitative systematic literature review method by analyzing national regulations, policy initiatives, and previous empirical studies relevant to halal certification and MSME development. A total of 41 publications from 2020 to 2024 were reviewed, encompassing government reports, scholarly articles, and institutional documents related to the implementation of halal assurance systems. The findings indicate that halal certification contributes significantly to increasing product value, market competitiveness, and consumer trust. The Indonesian government, through the Halal Product Assurance Organizing Agency (BPJPH) and the SEHATI program, has played an important role in facilitating certification processes and strengthening institutional collaboration. However, several challenges remain, including limited financial capacity, technical constraints, low awareness among MSME owners, and the complexity of administrative procedures. The study concludes that effective halal certification requires synergy between regulatory enforcement, financial and technical assistance, and continuous education to enhance MSME readiness. Strengthening digital infrastructure, simplifying verification mechanisms, and promoting stakeholder collaboration are essential for accelerating halal certification and ensuring sustainable MSME growth in Indonesia.
The Influence of Learning Methods and Learning Motivation on the Learning Outcomes of Basketball Prasetya, Agung; Wardiah, Dessy; Junaidi, Ilham Arvan
PPSDP International Journal of Education Vol. 3 No. 2 (2024): PPSDP International Journal of Education (Special Issue)
Publisher : Perkumpulan Program Studi Doktor Pendidikan (PPSDP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59175/pijed.v3i2.379

Abstract

The aim of this study was to investigate the impact of learning methods and motivation on basketball performance outcomes among eighth-grade students at SMP Negeri 07 Mukomuko. The research employed a quasi-experimental design to evaluate student motivation using descriptive and qualitative analysis, while basketball performance was assessed through quantitative analysis. The study population included 109 students enrolled in basketball classes at SMP Negeri 07 Mukomuko. The sample was 43 students. Data on learning motivation were gathered through questionnaires, and skill tests were used to evaluate learning outcomes. Data analysis was conducted using two-way analysis of variance (ANOVA) and the Tukey test. Prior to performing variance analysis, prerequisite tests were conducted to check for normality using the Lilliefors test and variance homogeneity using the Bartlett test, with a significance level set at α = 0.05. The results state that the inquiry teaching learning method is more effective in improving basketball playing skills than the peer teaching learning method. The group with a high level of motivation had better basketball playing skills compared to the group with a low level of motivation. There is an interaction between learning methods and learning motivation on improving basketball playing skills.
KEPEMIMPINAN KOLABORATIF UNTUK MENGELOLA GENERASI Z DI TEMPAT KERJA: TANTANGAN DAN PELUANG TERKINI Prasetya, Agung; Mahdum, Mahdum; Azhar, Fadly; Dahnilsyah, Dahnilsyah
Jurnal Kepemimpinan dan Pengurusan Sekolah Vol. 10 No. 4 (2025): December (In Progress)
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jkps.v10i4.1222

Abstract

Generation Z is beginning to dominate the workforce and brings unique characteristics such as high digital literacy, a focus on flexibility, a need for meaningful work, and a preference for open and participatory communication. This situation requires organizations to adapt their leadership styles to optimally manage their potential. This study aims to analyze the application of collaborative leadership in managing the Generation Z workforce and identify emerging challenges and opportunities in efforts to improve motivation, productivity, and work engagement. This study used a literature review method by examining scientific articles, global employment survey reports, and academic studies related to leadership and workforce generations. The results show that collaborative leadership is effective in building an inclusive work culture, encouraging active participation, and increasing innovation through trust-based relationships and two-way communication. However, its implementation still faces challenges such as value gaps between generations, demands for rapid feedback, and structural adaptations in organizations that are still hierarchical. On the other hand, these challenges can be strategic opportunities through the use of collaborative technology, adaptive leadership training, and designing flexible work systems that suit the needs of the younger generation.
Peningkatan Kapasitas Digital Pendidik Melalui Implementasi Sistem Pelaporan Berbasis Web di SMP Islam MIA Prasetya, Agung; Cahyono, Taufiq Agung; Minanurohman, Muhamad Adib
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 3 (2026): Bulan Februari
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i3.870

Abstract

Kegiatan Pengabdian kepada Masyarakat ini dilaksanakan untuk meningkatkan kemampuan digital pendidik di SMP Islam Ma’hadul ‘Ilmi wal ‘Amal (MIA) melalui penerapan sistem pelaporan kegiatan siswa berbasis web. Proses administrasi sebelumnya masih dilakukan secara manual sehingga beberapa pendidik mengalami kesulitan dalam ketepatan dan kecepatan pelaporan. Melalui kegiatan ini, peserta diperkenalkan pada mekanisme pengelolaan data berbasis web, kemudian mempraktikkannya dalam skenario pelaporan harian. Evaluasi dilakukan dengan melihat perubahan kemampuan teknis dan efisiensi waktu kerja. Hasil kegiatan menunjukkan adanya peningkatan kompetensi dasar, di antaranya kemampuan mengelola akun, memasukkan data kegiatan, dan membaca tampilan monitoring, dengan kenaikan rata-rata kemampuan di atas 50%. Selain itu, penggunaan sistem berbasis web berdampak pada percepatan proses pelaporan, yang sebelumnya membutuhkan lebih dari 20 menit per laporan menjadi kurang dari 10 menit setelah implementasi. Temuan ini mengindikasikan bahwa penerapan sistem pelaporan digital mampu memperbaiki alur administrasi dan memberikan pengalaman penggunaan teknologi yang lebih efektif bagi pendidik.
A MAX-MARGIN APPROACH TO SENTENCE BOUNDARY SEGMENTATION IN INDONESIAN PARAGRAPHS Prasetya, Agung; Sari, Yayak Kartika; Anwar, Ndaru Syaiful
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.9563

Abstract

This study presents a max-margin–based approach for sentence boundary segmentation in Indonesian paragraphs, addressing a persistent challenge in Natural Language Processing applications. Conventional rule-based or sequential methods often struggle to distinguish ambiguous punctuation marks, particularly in contexts involving abbreviations, numerical expressions, hierarchical sentence structures, and direct quotations. To overcome these limitations, this research formulates sentence segmentation as a paragraph parsing task, enabling the model to capture both local boundary cues and global structural patterns within a paragraph. A manually annotated corpus of 12,000 paragraphs from news articles, public documents, and academic texts was developed to provide diverse linguistic structures and punctuation variations. The proposed model integrates local punctuation features, structural constraints from the Indonesian EYD standard, and global paragraph coherence through a max-margin discriminative parsing framework. Experimental results show that the model achieves strong performance on the test set, with a precision of 0.93, recall of 0.91, and F1-score of 0.92, significantly outperforming a rule-based baseline. Error analysis further highlights improvements in handling ambiguous cases such as abbreviations, numerical formatting, and direct quotations with nested punctuation. The findings demonstrate that a structured max-margin approach delivers more reliable sentence boundary segmentation and can enhance downstream NLP tasks requiring accurate sentence-level text processing.
IDENTIFIKASI JENIS OPERASI DATA MANIPULATION LANGUAGE BERBASIS BILSTM PADA KALIMAT BERBAHASA INDONESIA Prasetya, Agung; Sari, Yayak Kartika; Iskandar, Joko; Ansor, Mohamad Khoirul
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.8695

Abstract

Text-to-SQL memungkingkan penggunaan bahasa alami untuk mendapatkan informasi dari database. Melalui pendekatan ini, pengguna non teknis tidak perlu memahami sintaks SQL untuk melakukan query database. Penelitian ini mengusulkan pendekatan berbasis Bidirectional Long Short-Term Memory (BiLSTM) untuk mengklasifikasikan jenis operasi Data Manipulation Language (DML), seperti SELECT, INSERT, UPDATE, dan DELETE, pada kalimat ber-bahasa Indonesia. Pendekatan dibangun dengan merepresentasikan kalimat sebagai urutan vektor kata menggunakan word embedding, lalu diproses oleh arsitektur BiLSTM untuk menangkap konteks sek-uensial dua arah. Dataset berisi 1600 kalimat dari tiga domain utama: pendidikan, e-commerce, dan layanan publik. Setiap kalimat telah dia-notasi sesuai dengan operasi DML yang terkandung. Hasil evaluasi menunjukkan bahwa model BiLSTM mencapai akurasi sebesar 93% dan F1-score sebesar 92%. Analisis per label mengungkapkan bahwa model sangat efektif mengenali operasi SELECT dan INSERT, namun sedikit kesulitan membedakan UPDATE dan DELETE. Penelitian ini menunjukkan bahwa pendekatan BiLSTM mampu mengklasifikasi-kan tipe DML secara efektif dan efisien dalam konteks bahasa Indo-nesia.
DETEKSI QUERYABILITY KALIMAT BERBASIS RULE Prasetya, Agung; Rambe, Armita Novriana
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.8563

Abstract

Text-to-SQL merupakan salah satu tugas dalam bidang Natural Lan-guage Processing yang membantu pengguna awam query untuk mendapatkan informasi dari database dengan memasukkan kalimat berbahasa manusia. Sebagian besar pendekatan Text-to-SQL yang ada saat ini langsung memproses kalimat tanpa menyaring terlebih dahulu apakah kalimat tersebut layak untuk diterjemahkan. Tidak adanya de-teksi queryability ini dapat menyebabkan pemborosan komputasi dan berpotensi menghasilkan query yang tidak relevan. Penelitian ini men-gusulkan pendekatan berbasis rule untuk mendeteksi queryability pada kalimat berbahasa Indonesia. Pendekatan ini mengusulkan 14 rule yang didesain untuk mengolah fitur-fitur permukaan, tanpa fitur semantik dalam. Setiap rule diformulasikan dalam bentuk First Order Logic dan diberikan pembobotan sebagai prioritas. Evaluasi dilakukan terhadap 2000 pertanyaan dari dua domain: e-commerce, dan administrasi pub-lik. Sistem mencapai akurasi sebesar 87% dan F1-score sebesar 87%. Studi ablation menunjukkan bahwa rule untuk mendeteksi SELECT, nama tabel, dan validasi kolom terhadap tabel memiliki kontribusi terbesar terhadap performa. Hasil penelitian ini menunjukkan bahwa pendekatan usulan dapat mendeteksi queryability tanpa menggunakan fitur semantik dalam.
Analisis Kerentanan Keamanan Website Ruangcosplay dengan Menggunakan Metode Penetration Testing Berbasis Owasp TOP 10:2021 Putra, Valentino Eka Apritha; Iskandar, Joko; Prasetya, Agung
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 4 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i4.6748

Abstract

The RuangCosplay website manages user data and transactions, requiring a security system capable of protecting against various cyber threats. However, a comprehensive evaluation of the website's security vulnerability level based on current security standards is not yet available. This study aims to identify and analyze the security vulnerabilities of the Ruang Cosplay website using penetration testing methods based on the OWASP Top 10:2021. Testing refers to the NIST SP 800-115 framework, which includes the planning, discovery, attacking, and reporting stages. Vulnerability identification was carried out through open-source intelligence and scanning using Nmap, OWASP ZAP, Dirsearch, and WhatWaf. The results showed that no vulnerabilities with a high or critical risk level were found, so the website's overall security level is considered good. However, 11 vulnerabilities were identified, consisting of 3 medium-risk vulnerabilities and 8 low-risk vulnerabilities. Medium-risk vulnerabilities include the use of an outdated TLS protocol, the absence of a Content Security Policy header, and the failure to implement the Subresource Integrity attribute in third-party scripts. Low-risk vulnerabilities were dominated by misconfigurations in cookies and security headers. This research recommends updating to TLS 1.2 or TLS 1.3, implementing the HttpOnly and Secure attributes on cookies, and implementing Subresource Integrity to improve website security and reduce the potential for future exploits.
Analisis Sentimen Pengguna Terhadap Game Minecraft pada Ulasan Google Play Menggunakan Metode Naïve Bayes dan Support Vector Machine (SVM) Syafi', Faiza; Ansor, Mohamad Khoirul; Prasetya, Agung
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 4 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i4.6768

Abstract

User reviews on digital platforms are an important source of information for understanding perceptions of game products, but the large amount of data makes manual analysis less effective. This study aims to analyze user sentiment towards the Minecraft game based on Google Play Store reviews and compare the performance of the Naïve Bayes and Support Vector Machine (SVM) methods. The study used a quantitative approach with 1,600 scraped reviews, which after preprocessing became 1,477 data. The research stages included text cleaning, sentiment labeling, TF-IDF feature extraction, data division using a stratified split, classification model development, and evaluation using accuracy, precision, recall, F1-score, and the McNemar test. The results showed that 70.3% of reviews had positive sentiment, 23.3% were negative, and 6.4% were neutral. The SVM model produced better performance with an accuracy of 82.09% and an F1-score of 0.79, compared to Naïve Bayes with an accuracy of 75.62% and an F1-score of 0.6788. However, the McNemar test results showed no significant difference in performance between the two models (p-value = 0.3074). This finding suggests that the SVM is superior in predictive performance, but both methods have relatively equivalent classification capabilities statistically in analyzing Minecraft user review sentiment.
Rancang Bangun Sistem Informasi Desa “BERSINAR” (Bersih Narkoba) Berbasis Website Menggunakan Metode Rapid Application Development (RAD): Studi Kasus Bnn Kabupaten Trenggalek Fahrezi, Dion Maulana; Cahyono, Taufiq Agung; Prasetya, Agung
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 4 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i4.6831

Abstract

This study aimed to design and develop a website-based *Desa Bersinar* Information System and to evaluate its functionality and usability. The research employed the Rapid Application Development (RAD) methodology, comprising requirements planning, user design, construction, and cutover phases. Data were gathered through observation, interviews, and literature reviews. The system was developed using the Laravel framework and a MySQL database. Functionality was tested using Black Box Testing, while usability was assessed via a Likert-scale questionnaire administered to 10 respondents. Test results indicated that all tested features—including login, reporting, village data, articles, and the gallery—functioned according to the established scenarios. Usability testing yielded a score of 341 out of a maximum of 500 (68.2%), placing it in the "good" category. These results demonstrate that the system is user-friendly and capable of supporting the dissemination of P4GN (Drug Abuse Prevention, Eradication, and Handling) information, as well as the centralized management of data, documentation, and community reports. Consequently, the developed information system can serve as a tool to support the digitalization of *Desa Bersinar* Program management at BNN Trenggalek Regency