Jurnal Politeknik Negeri Jakarta
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    Prediksi Kebutuhan Beras Dengan Metode Neural Network di Pulau Sumatera Indonesia

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    Rice is a strategic food commodity that provides more than 21% of global human caloric needs and up to 76% in Southeast Asia, including Indonesia. This study aims to analyze the dynamics of rice production and consumption on the island of Sumatra, predict annual rice demand, identify the dominant factors affecting production, and determine the leading rice-producing provinces in Sumatra. The method employed is a Neural Network integrated with the CRISP-DM research methodology to predict annual rice demand, identify key production factors, and determine the top rice-producing provinces. This study uses a dataset from the Central Bureau of Statistics (BPS) covering the years 1993–2020, consisting of six variables: province, year, production, harvested area, rainfall, humidity, and average temperature. The results show that harvested area is the most dominant factor influencing rice production across all provinces in Sumatra. The provinces with the highest rice production are Lampung, South Sumatra, and West Sumatra. The Neural Network model used has an architecture comprising six input nodes, five hidden layers, and one output layer. Model evaluation using Root Mean Square Error (RMSE) yielded a value of approximately ± 636.267 grams (0.636267 tons), indicating the predicted annual change in rice production per province. These findings are expected to assist the government and stakeholders in formulating strategies to stabilize rice production and distribution in Sumatra, thereby reducing price fluctuations and addressing supply imbalances that impact national food securit

    TINJAUAN PENGGUNAAN BERBAGAI BAHAN LIMBAH BERBASIS TUMBUHAN SEBAGAI PEREMAJA TERHADAP SIFAT REOLOGI BITUMEN HASIL EKSTRASI MATERIAL RAP

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    Sustainable innovation in road construction encourages the use of recycled materials, such as Reclaimed Asphalt Pavement/RAP, as an alternative to reduce dependence on new materials and minimize negative environmental impacts. However, RAP materials generally undergo an aging process that causes a decrease in viscoelastic properties, an increase in stiffness, and a decrease in resistance to cracking and deformation. To address these issues, rejuvenators produced from biomass waste - such as rice husks, bagasse, palm oil waste, and other agricultural residues - are being developed as environmentally friendly solution in restoring the rheological properties of RAP asphalt and improving the performance of the asphalt mixture. The results show that plant-based rejuvenators containing lignin with a chemical structure consisting of carbon, hydrogen, oxygen elements, and have active groups such as aromatic ring structures, aliphatic and aromatic hydroxyl groups, and quinone groups very similar in structure to asphalt can rebalance the proportion of malten and asphaltene fractions in aged asphalt. The use of bio-rejuvenators provides performance that results in a decrease in the complex modulus (G⁎) value and an increase in the phase angle (δ), indicating improved flexibility and reduced stiffness of the asphalt, approaching the characteristics of new asphalt. Furthermore, the addition of biojuvenators also positively impacts resistance to rutting and fatigue, while enhancing the workability of the asphalt mixture, especially in low-temperature applications.Sustainable innovation in road construction encourages the use of recycled materials (Reclaimed Asphalt Pavement/RAP), as an alternative to reduce dependence on new materials and reduce negative impacts on the environment. However, RAP materials generally have undergone an aging process that causes a decrease in viscoelastic properties, an increase in stiffness and a decrease in resistance to cracking and deformation. To overcome these problems, rejuvenators produced from biomass waste such as rice husks, bagasse, palm oil waste and other agricultural wastes are starting to be developed as an environmentally friendly solution in restoring the rheological properties of RAP asphalt and improving the performance of the asphalt mixture. The results of the study showed that plant-based rejuvenators containing lignin with a chemical structure consisting of carbon, hydrogen, oxygen elements, and have active groups such as aromatic ring structures, aliphatic and aromatic hydroxyl groups, and quinone groups very similar in structure to asphalt are able to rebalance the proportion of malten and asphaltene fractions in aged asphalt. The use of bio-rejuvenators provides performance that results in a decrease in the complex modulus (G⁎) value and an increase in the phase angle (δ). This indicates increased flexibility and decreased stiffness of the asphalt, approaching the characteristics of new asphalt. Furthermore, the addition of biojuvenators also positively impacts resistance to rutting and fatigue, and improves the workability of the asphalt mixture, especially for low-temperature applications

    GRBL Based 3 Axis CNC Milling Design

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    This study presents the design and fabrication of a GRBL-based 3-Axis CNC Milling Machine for laboratory and small-scale industry applications. The system is controlled by an Arduino Uno using GRBL firmware, with NEMA 17 stepper motors and a DC 775 spindle. The Quality Function Deployment (QFD) method was applied to align the design with user requirements. The machine features a 600 × 400 mm working area, 200 Watt power consumption, and spindle speed ranging from 3,000 to 12,000 RPM. Testing results demonstrate high precision and energy efficiency. This machine is suitable for digital manufacturing education and prototyping.Penelitian ini membahas perancangan dan pembuatan mesin CNC Milling 3-Axis berbasis GRBL yang ditujukan untuk kebutuhan laboratorium dan industri kecil. Sistem dikendalikan oleh Arduino Uno dengan firmware GRBL, menggunakan motor stepper NEMA 17 dan spindle DC 775. Pendekatan Quality Function Deployment (QFD) diterapkan untuk memastikan desain sesuai kebutuhan pengguna. Mesin ini memiliki area kerja 600 × 400 mm, konsumsi daya 200 Watt, dan kecepatan spindle 3.000–12.000 RPM. Hasil pengujian menunjukkan tingkat presisi tinggi dan efisiensi energi yang baik. Mesin ini cocok sebagai media pembelajaran teknik manufaktur berbasis digital

    STUDENT TEACHERS’ DIGITAL LITERACY COMPETENCE AND PRACTICES IN “KAMPUS MENGAJAR” PROGRAM

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    This study aims to explore student teachers’ digital literacy competence and practices during their participation in the Kampus Mengajar Program. This program offers the skills to apply the technologies for teaching and learning and create collaborative and interactive learning in preparing them to become a teacher. A qualitative case study design was employed in understanding student teachers perceive, develop, and apply digital literacy in real teaching contexts. The data was constructed through semi-structured interviews and photo documents with eight student teachers of Kampus Mengajar Program and analyzed using thematic analysis. The results show that student teachers perceive digital literacy as a crucial skill in addressing the challenges of education in the digital era. The Kampus Mengajar Program is perceived to significantly contribute to enhancing digital literacy skills through providing knowledge related to digital literacy and utilizing technology in learning. However, challenges remain in terms of limited school infrastructure, insufficient digital training, and difficulties in managing digital-based administrative tasks. The study highlights the importance of integrating digital literacy more explicitly into teacher education curricula and fostering institutional support to strengthen student teachers’ digital competence and pedagogical practices. Future research is suggested to investigate factors influencing digital literacy development and the impact of digital teaching practices on student learning outcomes

    DAMPAK ARTIFICIAL INTELLIGENCE (AI) TERHADAP JABATAN FUNGSIONAL PENERJEMAH DAN IMPLIKASINYA PADA PERENCANAAN SUMBER DAYA MANUSIA DI SEKTOR PUBLIK

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    The advancement of artificial intelligence technology has sparked a discourse on the future relevance of the translation profession, including the functional position of translators within the public sector. This disruptive phenomenon poses significant challenges to existing human resource planning practices. This research aims to analyze the impact of artificial intelligence on the Functional Position of Translators and to formulate adaptive human resource planning strategies to ensure the position's relevance. The research method employed is descriptive qualitative with a multi-method approach, combining a systematic literature review and in-depth interviews with practitioners and representatives from the fostering institution. Data analysis was conducted using the theoretical frameworks of Strategic Human Resource Management, Disruptive Innovation Theory, and the Resource-Based View. The results indicate that artificial intelligence acts as a disruptive innovation, transforming the translator's role from a producer of translations to a validator of quality and a context specialist. Human competencies such as understanding cultural nuances, ethics, and critical thinking are strategic resources that are difficult for technology to imitate. In conclusion, the future of the Functional Position of Translators lies not in rejecting technology, but in the synergistic collaboration between humans and machines. This implies an urgent need to reform the pillars of human resource planning, from job analysis and recruitment to career development, to align with the demands of the digital era.Kemajuan teknologi kecerdasan buatan telah memicu diskursus mengenai relevansi profesi penerjemah di masa depan, termasuk Jabatan Fungsional Penerjemah di lingkungan sektor publik. Fenomena disrupsi ini menimbulkan tantangan signifikan terhadap praktik perencanaan sumber daya manusia yang ada. Penelitian ini bertujuan untuk menganalisis dampak kecerdasan buatan terhadap Jabatan Fungsional Penerjemah serta merumuskan strategi perencanaan sumber daya manusia yang adaptif untuk memastikan relevansi jabatan tersebut. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan multimetode, yang memadukan kajian literatur sistematis dan wawancara mendalam dengan para praktisi serta perwakilan instansi pembina. Analisis data dilakukan dengan menggunakan kerangka teori Manajemen Sumber Daya Manusia Strategis, Teori Inovasi Disruptif, dan Pandangan Berbasis Sumber Daya. Hasil penelitian menunjukkan bahwa kecerdasan buatan berperan sebagai inovasi disruptif yang mentransformasi peran penerjemah dari produsen terjemahan menjadi validator kualitas dan spesialis konteks. Kompetensi manusia seperti pemahaman nuansa budaya, etika, dan pemikiran kritis merupakan sumber daya strategis yang sulit ditiru oleh teknologi. Kesimpulannya, masa depan Jabatan Fungsional Penerjemah tidak terletak pada penolakan teknologi, melainkan pada kolaborasi sinergis antara manusia dan mesin. Hal ini berimplikasi pada kebutuhan mendesak untuk mereformasi pilar-pilar perencanaan sumber daya manusia, mulai dari analisis jabatan, rekrutmen, hingga pengembangan karier, agar selaras dengan tuntutan era digital

    Analysis of The Application of Bim 5d in the Calculation of Quantity Take Off (QTO) for Construction Architecture Multi-Story Buildings

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    Digital construction technology that is able to have an impact on infrastructure development so that it becomes more efficient and productive, one of which is Building Information Modeling (BIM). As stated in the Regulation of the Minister of Public Works and Public Housing (PUPR), currently the use of Building Information Modeling (BIM) technology is limited to state buildings with an area of ​​over 2000 m2 and above 2 floors as stated in the Minister of PUPR Regulation No. 22 of 2018 regarding the Construction of State Buildings so that the X Head Office Construction Project which has a total area of ​​11,992.62 is required to apply the BIM method in its implementation. Quantity take Off is one of the things that can determine success, with BIM-based software Glodon Cubicost being able to model 3D buildings which will then directly get the project quantity of material requirements. From the comparative analysis, it was found that the difference in quantity was 12.23% for wall work, 3.9% for floor finishing work, 9.3% for ceiling work and 0% or no difference at all for door and window work. And the findings of the factors causing the difference are Calculation Policy, Size and notation description, Mastery of software / applications and Accuracy in calculating quantity.Digital construction technology that can impact infrastructure development to make it more efficient and productive, one of which is Building Information Modeling (BIM). As stated in the Regulation of the Minister of Public Works and Public Housing (PUPR), currently the use of Building Information Modeling (BIM) technology is limited to state buildings with an area of over 2000 m2 and above 2 floors as stated in the Minister of PUPR Regulation No. 22 of 2018 regarding the Construction of State Buildings so that the X Head Office Construction Project which has a total area of 11,992.62m2 is required to apply the BIM method in its implementation. Quantity take-off is one of the factors that can determine success, with BIM-based software Glodon Cubicost being able to model 3D buildings which will then directly get the project quantity of material requirements. From the comparative analysis, it was found that the difference in quantity was 12.23% for wall work, 3.9% for floor finishing work, 9.3% for ceiling work, and 0% or no difference at all for door and window work. The findings of the factors causing the difference are Calculation Policy, Size and notation description, Mastery of software/applications, and Accuracy in calculating quantity

    PENGARUH FASHION INVOLVEMENT DAN FOMO TERHADAP IMPULSIF BUYING PRODUK THRIFTING (Studi kasus pada Gen Z di Yogyakarta)

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    This study aims to analyze the effect of fashion involvement and FOMO on impulsive buying of thrifting products among Generation Z in Yogyakarta. The sample consists of 100 respondents aged 13 to 28 who have purchased thrifting products. Data were collected using an online questionnaire. The results show that fashion involvement has no significant effect on impulsive buying, indicating that although Generation Z is interested in fashion, their involvement does not always influence impulsive purchasing behavior. On the other hand, FOMO has a significant positive effect on impulsive buying, where the higher the anxiety of missing out on trends, the greater the tendency to make impulsive purchases. These findings emphasize that FOMO plays a more dominant role in influencing impulsive buying decisions of thrifting products among Generation Z. Keywords: Fashion Involvement, FOMO, Impulsive Buying, Thrifting, Generation ZPenelitian ini bertujuan untuk menganalisis pengaruh fashion involvement dan FOMO terhadap impulsive buying produk thrifting di kalangan generasi Z di Yogyakarta. Sampel penelitian terdiri dari 100 responden berusia 13 hingga 28 tahun yang telah membeli produk thrifting. Data dikumpulkan menggunakan kuesioner online. Hasil penelitian menunjukkan bahwa fashion involvement tidak berpengaruh signifikan terhadap impulsive buying, yang menunjukkan bahwa meskipun generasi Z tertarik dengan fashion, tingkat fashion involvement tidak selalu mempengaruhi perilaku pembelian impulsif. Sebaliknya, FOMO terbukti memiliki pengaruh positif yang signifikan terhadap impulsive buying, di mana semakin tinggi tingkat kecemasan akan kehilangan kesempatan mengikuti tren, semakin besar kecenderungan untuk membeli produk secara impulsif. Temuan ini menegaskan bahwa FOMO lebih dominan dalam mempengaruhi keputusan pembelian impulsif produk thrifting di kalangan generasi Z

    PENGARUH HARGA, CITRA MEREK DAN LOKASI TERHADAP KEPUTUSAN PEMBELIAN PADA VIOLET BAKERY KOTA PROBOLINGGO

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    The increasingly rapid and unlimited development of the era makes human desires and needs increasingly numerous. Currently, humans are no longer able to fulfill their own desires and needs, so that a form is expected that can provide this. This study aims to identify what factors make consumers make purchasing decisions. This is whether influenced by several factors such as price, brand image, or location. This study uses an associative quantitative method with a sampling technique using an incidental technique, and data acquisition is carried out by distributing questionnaires to consumers at Violet Bakery, Probolinggo City. Testing in this study using the SPSS23 test. The results indicate that price, brand image, and location have a positive and significant effect on purchasing decisions at Violet Bakery, Probolinggo City. Keywords: price, brand image, location, and purchasing decisions.Semakin berkembangnya zaman yang sangat cepat dan tak terbatas membuat keinginan dan kebutuhan manusia semakin banyak. Saat ini, manusia tidak lagi mampu mencukupi kebutuhan maupun keinginannya sendiri, sehigga diharap adanya sebuah wujud yang dapat menyajikan hal tersebut. Tujuan diselenggarakannya penelitian ini yaitu mengidentifikasi faktor apakah yang mendorong konsumen melakukan keputusan pembelian. Hal ini, apakah dipengaruhi sejumlah faktor selayaknya harga, citra merek, maupun lokasinya. Metode yang diterapkan yakni kuantitatif asosiatif melalui teknik penentuan sampel berupa teknik incidental, serta perolehan data dilakukan dengan penyebaran kusioner kepada konsumen di Violet Bakery Kota Proboliggo. Kemudian untuk pengujian yang dilaksanakan yaitu mempergunakan uji SPSS23. Hasil yang didapat memperlihatkan harga, citra merek, dan Lokasi memberikan pengaruh positif dan signifikan terhadap keputusan pembelian pada Violet Bakery Kota Probolinggo

    Coso Framework sebagai dasar penyusunan sistem pengendalian Internal Koperasi Sahabat Ihya Madani: Studi kasus Koperasi Sahabat Ihya Madani

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    Penelitian ini bertujuan menyusun sistem pengendalian internal piutang berbasis kerangka kerja COSO pada Koperasi Sahabat Ihya Madani, koperasi simpan pinjam yang berlokasi di Jakarta Barat. Masalah utama yang dihadapi adalah tingginya piutang tak tertagih akibat lemahnya pengendalian internal yang belum terdokumentasi secara formal. Penelitian ini menggunakan metode kualitatif deskriptif dengan teknik pengumpulan data berupa wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa koperasi telah memiliki elemen pengendalian seperti pemisahan tugas dan otorisasi dalam proses pencairan dana. Namun, masih terdapat kelemahan pada kelima komponen COSO, seperti ketiadaan SOP tertulis, sistem pelaporan risiko yang belum sistematis, pengendalian kas yang tidak terdokumentasi dengan baik, serta lemahnya pemantauan dan pelaporan formal. Sebagai rekomendasi, peneliti menyusun modul panduan pengendalian internal piutang yang mencakup kebijakan, prosedur, serta mekanisme pengawasan dan evaluasi. Modul ini diharapkan dapat membantu koperasi meningkatkan efektivitas pengelolaan piutang dan menekan risiko kerugian akibat piutang macet. Temuan penelitian juga dapat dijadikan referensi untuk pengembangan sistem pengendalian internal yang lebih komprehensif di sektor koperasi.  Kata kunci:  Piutang, Sistem Pengendalian Internal, Celah Pengendalia

    PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN PELANGGAN PADA AGEN JNE TAMAN ALAMANDA KABUPATEN BEKASI

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    Penelitian ini bertujuan untuk mengetahui pengaruh kualitas pelayanan terhadap kepuasan pelanggan pada Agen JNE Taman Alamanda Kabupaten Bekasi. Latar belakang penelitian ini didasarkan pada pentingnya kualitas pelayanan dalam mempertahankan dan meningkatkan kepuasan pelanggan, khususnya dalam sektor jasa pengiriman. Penelitian ini menggunakan pendekatan kuantitatif dengan metode deskriptif, dan data diperoleh melalui penyebaran kuesioner kepada 96 responden yang merupakan pelanggan aktif. Analisis data dengan menggunakan regresi linear sederhana dengan hasil penelitian variabel kualitas pelayanan sebesar 0,528 dan nilai konstanta sebesar 4,005. Hal ini menunjukkan setiap peningkatan sebesar 1% dalam kualitas pelayanan akan meningkatkan tingkat kepuasan pelanggan sebesar 0,528. Selain itu untuk pengujian hipotesis t hitung (11,950) lebih besar daripada t tabel (1,986) dan f hitung (142,799) lebih besar daripada f tabel (3,94). Serta kualitas pelayanan mempengaruhi kepuasan pelanggan sebesar 60,3%. Sehingga dapat disimpulkan kualitas pelayanan berpengaruh signifikan dan positif serta memiliki peranan penting terhadap kepuasan pelanggan. Dengan adanya penelitian ini diharapkan bisa bermanfaat bagi pembaca dan peneliti selanjutnya, serta diharapkan bisa memunculkan faktor-faktor lainnya yang bisa mempengaruhi kepuasan pelanggan. Kata kunci: Kualitas Pelayanan, Kepuasan Pelanggan

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