Portal E-Journal System PNUP (Politeknik Negeri Ujung Pandang)
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Pengembangan Security Parking System Berbasis Image Processing dan RFID
Full text linkPenelitian dilakukan karena palang parkir yang menjadi komponen utama dalam sistem parkir tidak dapat dikontrol tanpa menggunakan personal computer (PC) yaitu laptop. Pada penelitian sebelumnya, untuk menunjang image processing yaitu face recognition dan plate recognition harus menggunakan laptop. Sehingga pada saat laptop tidak tersedia maka alat tidak dapat difungsikan. Oleh karena itu, penulis melakukan pengembangan dengan menggunakan raspberry pi 4B yang menjadi PC sehingga memudahkan sistem parkir untuk difungsikan. Tujuan penelitian ini adalah meningkatkan tingkat keberhasilan plate recognition yang sebelumnya terdapat kekurangan pada kualitas gambar dari kamera. Penulis juga mengubah sistem ID pengguna yang dari face recognition menjadi sensor radio frequency identification (RFID). Metode penelitian dilakukan mulai dengan perancangan desain project, perakitan komponen mekanik dan elektronik, pembuatan program image processing untuk deteksi plat kendaraan, dan trial and error sehingga alat dapat difungsikan secara optimal. Berdasarkan hasil penelitian, sistem ID pengguna yang diterapkan menggunakan RFID sangat baik dengan tingkat keberhasilan 100%. Adapun pada image processing belum ada peningkatan secara signifikan namun deteksi gambar plate dapat dilakukan dari depan, sudut kiri, dan sudut kanan. Sistem parkir ini dapat diakses jika pengguna kendaraan roda dua memiliki kartu yang telah terdaftar dan plat nomor kendaraan dapat dideteksi pada saat masuk sesuai dengan pada saat keluar
Kaji Eksperimental Sifat Mekanik Komposit Resin Epoxy Berpenguat Serat Alam
Full text linkKomposit merupakan material yang terdiri dari dua kombinasi dua jenis bahan berbeda dimana tiap bahan tersebut memiliki sifat mekanik yang berbeda. Komposit yang diteliti dalam penelitian ini yaitu komposit serat yang menggunakan serat alam sebagai penguatnya dan resin epoxy sebagai matriks. Serat alam yang digunakan ada dua jenis yaitu serat sisal dan serat ijuk. Tujuan penelitian ini untuk mengetahui sifat mekanik komposit yang menggunakan serat sisal dan serat ijuk sebagai penguat. Sebelum dibuat menjadi spesimen uji, serat sisal direndam dalam NaOH 5% selama 4 jam dan serat ijuk dalam NaOH 5% selama 2 jam. Serat dalam komposit ini sebanyak 15% dari massa matriks kemudian persentase massa antara serat sisal dan serat ijuk dibagi menjadi tujuh variasi yaitu S15I0, S12I3, S9I6, S7.5I7.5, S6I9, S3I12 dan S0I15. Arah susunan serat yaitu serat lurus kontinu dan serat acak. Berdasarkan hasil penelitian ini, kekuatan tarik terbesar terdapat pada komposit variasi serat sisal 12% dan serat ijuk 3% (S12I3) dengan arah serat lurus kontinu yang memiliki kekuatan tarik rata-rata 115,01 MPa. Untuk kekuatan bending terbesar pada komposit variasi serat sisal 9% dan serat ijuk 6% ( S9I6) dengan arah serat lurus kontinu yang memiliki kekuatan bending rata-rata 123,83 MPa. Sedangkan kekuatan impak terbesar pada komposit variasi serat sisal 9% dan ijuk 6% (S9I6) dengan arah serat lurus kontinu yang memiliki energy impak rata-rata 20.71 kJ/mm2. Penelitian ini juga menunjukkan bahwa dengan adanya kombinasi anatara serat sisal dan serat ijuk dapat meningkatkan sifat mekanik komposit dan serat lurus kontinu memiliki sifat mekanik yang lebih baik dibandingkan dengan serat acak
THE STUDY OF THE LOAD FLOW AFTER THE ADDITION OF MOUTONG’S MAIN SUBSTATION IN THE ISOLATED SYSTEM OF KOTARAYA
Full text linkPT. PLN (Persero) UP3 Tolitoli consists of four customer service units, namely ULP Leok, ULP Bangkir, ULP Moutong, and ULP Kotaraya. The electricity supply in ULP Kotaraya comes from an isolated system supported by PLTD Kotaraya, PLTD Tomini, and PLTD Palasa. During the dry season from September to November 2023, the power deficit at the power plants reached 950 kW, causing rolling blackouts. In order to overcome this problem, PLN UP3 Tolitoli plans to build a substation near Ongka Malino District to supply the Kotaraya system, which will improve flexibility and customer satisfaction. This study aims to implement the system condition through system testing based on the design of the Kotaraya isolated system after the operation of the Moutong Substation using software. The results of this study show that after the Moutong Substation operates, the functions of PLTD Kotaraya and PLTD Palasa change into voltage controllers, resulting in a power system with medium-voltage busbar voltage values that are more stable based on the standards used by PLN, with a nominal range of +5% and -10% against 20 kV
The Challenges and Best Practices of English Language Teaching in Indonesian Secondary School: A Systematic Literature Review
Full text linkThis systematic literature review of seventy-one studies provides a comprehensive overview of English language teaching in Indonesian senior and vocational high schools over the last 10 years. Using the Publish or Perish (PoP) tool, a systematic search was conducted through Google Scholar and CrossRef. The study identified three main themes: current trends, challenges encountered by teachers and students, and best practices. Most of the studies were qualitative and published in SINTA-indexed journals. The result highlighted several challenges, including barriers to teaching and learning, Inadequate infrastructure, concerns about student well-being, and low student motivation and engagement. Meanwhile, best practices include continuous teacher development, student-centered approaches, technology integration, language skill development, and support from schools and families. Tailoring sustainable implementation to the local context has the potential to improve teaching quality. The study highlights the need for coordinated collaboration among policymakers, educators, and stakeholders to ensure the effective implementation of the proposed recommendations
SAMPUL BIDANG ILMU TEKNIK KIMIA, KIMIA ANALISIS, TEKNIK LINGKUNGAN, BIOKIMIA DAN BIOPROSES
No full textExpanding Research Horizons: Exploring Less Frequently Used Research Methodologies in Applied Linguistics
Full text linkThe book Less Frequently Used Research Methodologies in Applied Linguistics, edited by A. Mehdi Riazi, explores underutilized research methodologies that offer fresh perspectives in applied linguistics. The book presents a range of approaches, including the multiperspectival approach (MPA), multimodal analysis, conversation analysis, grounded theory, phenomenology, narrative inquiry, and the repertory grid technique. Each chapter provides both theoretical foundations and practical applications, such as MPA’s use in art and design communication, multimodal analysis in embodied teaching and textbooks, and conversation analysis in studying avoidance strategies. Grounded theory is examined in the context of extensive reading, while phenomenology sheds light on EFL learners’ experiences of maintaining foreign language proficiency. Narrative inquiry is demonstrated through case studies from Senegal, and the repertory grid technique is explored for its potential in linguistic research. The volume concludes with a critical discussion of the challenges and contributions of these lesser-used methodologies, advocating for their broader adoption. By showcasing these alternative approaches, the book serves as a valuable resource for researchers seeking to expand their methodological repertoire in applied linguistics
Intelligent Fault Prediction in Diesel Engines: A Comparative Study of SVM and BPNN for Condition-Based Maintenance
Full text linkThis study discusses the application of Support Vector Machine (SVM) and Back Propagation Neural Network (BPNN) in predicting diesel engine health based on operational data relabeled using K-Means Clustering. Two types of SVM kernels were tested, namely Radial Basis Function (RBF) and Sigmoid, with various parameter combinations. The results indicate that SVM with Sigmoid kernel achieved an accuracy of 94.06%, but was less sensitive in detecting unhealthy engine conditions. In comparison, the BPNN method with a three-hidden-layer configuration (1-2-1 neurons) and tansig activation function showed superior performance with 97.13% accuracy, MSE of 0.03, recall of 94%, precision of 100%, and F1-score of 97%. These findings prove that BPNN outperforms SVM in capturing complex data patterns and is more accurate in detecting unhealthy engine conditions. Additionally, relabeling the dataset significantly improved predictive accuracy from 72.3% to 97.13%, highlighting the importance of balanced data in modeling. Overall, this study demonstrates that optimally configured BPNN is more effective in predicting diesel engine health than SVM, making it a more reliable approach for engine condition monitoring.
Evolution of Capacitor Switching Detection and Location Determination in Power Distribution Systems: from Traditional Methods to AI-Enhanced Approaches
Full text linkThis paper presents a comprehensive analysis of methodological evolution in capacitor switching detection and location determination for power distribution systems, spanning from traditional analytical approaches to contemporary artificial intelligence-enhanced methods. The analysis evaluates six major methodological paradigms: gradient-based detection, voltage-only approaches, machine learning integration, deep learning applications, uncertainty quantification, and real-time processing techniques. Through systematic performance comparisons across 45 recent studies (2020-2025), this research demonstrates that AI-enhanced methods achieve detection accuracy exceeding 97% with uncertainty bounds, compared to 85-92% for traditional approaches. The comparative analysis reveals computational trade-offs, implementation complexity, and economic considerations for each methodology class. Key findings indicate a 40% reduction in false positive rates and 60% improvement in computational efficiency when transitioning from traditional to AI-enhanced approaches. This research provides quantitative benchmarking and decision frameworks for utilities selecting optimal capacitors switching analysis methodologies, contributing to improved power quality management in modern distribution systems
PENERAPAN MESIN PENIRIS MINYAK PADA UMKM ABON IKAN TUNA UMMI PESISIR PAREPARE
Full text linkThe Ummi Pesisir Tuna Floss (AITUM) UMKM, located in Cappa Galung, Bacukiki District, Parepare City, South Sulawesi Province, began operating in 2015. The AITUP UMKM is a home industry that is geared towards a productive economy. The partners have approximately 10 members, with the highest level of education being high school. In the production process, the partners use motorized drainers, but many are damaged. Based on the description and discussions with the partners, the problems faced by the partners are: (1) how to improve production quality and capacity, (2) how to repair damaged equipment. The solutions offered by the PKM team are (1) improving production methods and processes, (2) providing training and counseling on the maintenance and repair of production equipment. The methods applied are (1) assistance with production equipment and packaging, (2) training on the maintenance and repair of production equipment. The output targets achieved are scientific publications in national seminars/proceedings, and publication in online mass media. Therefore, the PKM team's work plan includes: (1) preparation of materials and equipment, (2) procurement of production equipment and packaging tools, (3) training and counseling on how to use production machines, and how to maintain and repair production tools, (4) preparation of reports, scientific articles, and online media articles. The implementation of activities was published in the online tribune edition of October 5, 2025