Jurnal Indonesia Sosial Teknologi (JIST)
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Implementation Of Standard Minute Value (SMV) to Achieve Bra Production Target at PT Globalindo Intimates
Full text linkStandard Minute Value (SMV) is a method for measuring the standard time for completion of a production process in achieving production targets in accordance with a predetermined plan. In this research, analysis related to SMV was carried out at PT Globalindo Intimates, which is a garment industry manufacturing company whose products are underwear or women's underwear. This research aims to determine the strategies and challenges in implementing SMV to achieve bra production targets. Data collection techniques were carried out using observation, interviews and documentation. Based on the research that has been carried out, the strategy used to implement SMV can be in the form of research to determine the level of difficulty in the production process and observation to see problems in the production process because each type of bra has a different level of difficulty. Factors that cause production targets to not be achieved are unplanned absences, operator skills, machine problems, and human error.Standard Minute Value (SMV) merupakan salah satu metode untuk mengukur waktu standar penyelesaian suatu proses produksi dalam mencapai target produksi sesuai dengan rencana yang telah ditetapkan. Pada penelitian ini, analisis terkait SMV dilakukan pada PT Globalindo Intimates yang merupakan perusahaan manufaktur industri garmen yang hasil produksinya berupa underwear atau pakaian dalam wanita. Penelitian ini bertujuan untuk mengetahui strategi dan tantangan dalam menerapkan SMV untuk mencapai target produksi bra. Teknik pengumpulan data dilakukan dengan observasi, wawancara, dan dokumentasi. Berdasarkan penelitian yang telah dilakukan, strategi yang digunakan untuk menerapkan SMV dapat berupa riset untuk mengetahui tingkat kesulitan dalam proses produksi dan pengamatan untuk melihat permasalahan pada proses produksi karena setiap jenis bra memiliki tingkat kesulitan yang berbeda-beda. Faktor-faktor yang menyebabkan tidak tercapainya target produksi adalah absen yang tidak terencana, skill operator, mesin yang bermasalah, dan human erro
Electric Power Industry: Relationship Between Total Quality Management (TQM) and Organizational Performance of Conformity Assessment Body in The Industry
Full text linkThe Indonesian government has increased fuel prices through Decree 218.K/MG.01/MEM.M/2022. This is in response to an increase in the energy subsidy budget of IDR 502.4 trillion. Additionally, current geopolitical conditions have greatly influenced the price of energy commodities in the world market. This has caused the government to change fossil fuel usage to electrical energy. This study aims to analyze the relationship between the implementation of TQM and organizational performance in PT XYZ, as well as identify the elements of TQM that have the most significant impact on improving organizational performance. By understanding this relationship, this research is expected to provide recommendations for PT XYZ to enhance its competitiveness and operational effectiveness. The research method used is a survey by distributing questionnaires to PT XYZ employees. The data obtained was analyzed using the Structural Equation Model (SEM) method to test the correlation between variables. The study results show that implementing TQM positively and significantly affects organizational performance. Factors such as top management commitment, quality awareness, communication, and employee engagement have a dominant role in improving job satisfaction and the company's business results. The conclusion of this study confirms that TQM can be an effective strategy for increasing organizational competitiveness by improving customer satisfaction and service quality. The implications of this study highlight the importance of strengthening relationships with external providers to increase competitive advantage. In addition, the management of PT XYZ is advised to maintain a quality culture and management system that has been proven to positively impact the company's performance.
Analysis of Value Proposition Canvas and Lean Business Canvas for the Development of Marketing, Operational and Human Resource Strategies in EDU Smarty Generation Tutoring in Tangerang – Indonesia
No full textThis study aims to analyze the use of Value Proposition Canvas (VPC) and Lean Business Canvas (LBC) in developing marketing, operational, and human resource (HR) strategies for EDU Smarty Generation tutoring center in Tangerang, Indonesia. Based on VPC analysis, a deeper understanding of the students' needs, problems, and desires was gained, which helped in designing a more focused marketing strategy. Through LBC, it was found that the business model of EDU Smarty Generation emphasizes the flexibility of blended learning and online self-learning independence to cater to the diverse needs of students. The study also identified the importance of HR development to support the implementation of these strategies, including enhancing teacher skills and effectively utilizing technology. The findings show that applying these two frameworks can improve the effectiveness of marketing, operational, and HR strategies and contribute to the long-term growth of EDU Smarty Generation
Factor Analysis of The Digital Transformation Challenges at PT Dharma Agung Wijaya
Full text linkDigital transformation is a significant phenomenon across industries, including the oil palm plantation sector. PT Dharma Agung Wijaya is undergoing a digitalization process to improve operational efficiency and effectiveness. However, this process encounters challenges that must be identified and addressed to achieve optimal results. This study analyzes the challenges in implementing digital transformation at PT Dharma Agung Wijaya, identifying its current status, determining key obstacles, and offering recommendations for corrective actions. The research contributes theoretically to digital transformation studies and provides practical benefits for optimizing the company's digitalization efforts. Adopting a quantitative approach with stratified random sampling, the study involves a population of 478 individuals directly engaged in the digital transformation process, with 379 selected as samples. These participants are distributed across four major digital platforms: OWL Plantation System, Budget Control System, DAW Plantation Mobile, and Weightbridge Ramp System. Data were collected via online questionnaires and validated through reliability tests using SPSS.The findings reveal six main factors that challenge the digital transformation process: digital culture, digitalization, digital technology, digital leadership, digital disruption, and digital skills. Among these, digital culture and digitalization were identified as having the most significant impact on the success of the transformation. This study provides valuable insights for PT Dharma Agung Wijaya and similar organizations to navigate and optimize their digital transformation journey effectively
Indonesian Diaspora's Preferences for Dual Citizenship: Opportunities and Challenges for National Resilience
Full text linkThe Indonesian diaspora, which is spread across various parts of the world, has great potential to support national development through remittances, investment, technology transfer, and strengthening nation branding. However, Indonesia's single citizenship policy creates a dilemma for the diaspora, forcing them to choose between Indonesian citizenship or the country of residence. This study aims to identify diaspora preferences for dual citizenship policies, analyze emerging opportunities and challenges, and develop recommendations for implementation strategies for this policy. The results of the study show that the dual citizenship policy can increase diaspora involvement in national development, strengthen economic stability, and support Indonesia's public diplomacy. However, the implementation of this policy requires mitigating risks such as double loyalty and legal conflicts through comprehensive regulatory design. With the right policies, the diaspora can become a strategic asset to support national resilience and the vision of Golden Indonesia 2045
Comparative Analysis of Water Quality Using Pollution Index Method and BCWQI in Cisanggarung River
Full text linkAssessment of water quality status is crucial to carry out as part of the efforts to maintain water quality, ensuring its use in community life meets the established standards. This is in stark contrast to the numerous community activities that often pollute the water content in rivers, leading to a decline in water quality and adverse effects on the people who use that water. This research is crucial for determining the quality status of water in the Cisanggarung River, as well as for comparing the water quality status in the upstream section of the Cisanggarung River using the Pollution Index and the British Columbia Water Quality Index (BCWQI). The average Pollution Index value in the Cisanggarung River is 1.192, categorized as Slightly Polluted. At the same time, the water quality status in the Cisanggarung River has an average score of 26.24, indicating a level of Fair (slightly polluted). Based on the results of determining water quality status using two methods, it can be concluded that the British Columbia Water Quality Index is the most suitable method for use in the Cisanggarung River (BCWQI)
Pendekatan Kecerdasan Buatan Hibrida dalam Meningkatkan Akurasi Prediksi Churn pada Big Data
No full textThe explosion of digital data has given birth to the era of big data, which presents great opportunities as well as significant challenges in knowledge extraction. Traditional data mining processes often face obstacles in terms of accuracy and efficiency when faced with massive data volume, variety, and speed. This study aims to propose and evaluate a hybrid model based on Artificial Intelligence (AI) to improve the performance of the data mining process on large-scale data sets. The proposed model integrates the power of Random Forest's algorithm in handling structured data and resistance to overfitting, with the ability of Neural Networks to model complex non-linear relationships. The research uses a case study on customer churn data from the e-commerce industry which contains 1.5 million records, with comprehensive data mining process stages, ranging from data preprocessing, feature engineering, to model implementation. The results of the evaluation showed that the hybrid model achieved an accuracy of 94.7% and an AUC (Area Under the Curve) value of 0.97, significantly outperforming the Random Forest (91.2% accuracy, 0.93 AUC) and Artificial Neural Network (92.5% accuracy, 0.95 AUC) models. Although hybrid models require slightly higher computational times, the substantial increase in accuracy provides a strong justification for their use in critical business scenarios. This study provides empirical evidence that the hybrid AI approach is an effective and promising strategy to address the challenges of big data analysis, particularly in critical business scenarios where predictive accuracy is a top priority.Ledakan data digital telah melahirkan era big data, yang memberikan peluang besar sekaligus tantangan signifikan dalam ekstraksi pengetahuan. Proses data mining tradisional seringkali menghadapi kendala dalam hal akurasi dan efisiensi ketika dihadapkan pada volume, variasi, dan kecepatan data yang masif. Penelitian ini bertujuan untuk mengusulkan dan mengevaluasi sebuah model hibrida berbasis Kecerdasan Buatan (AI) untuk meningkatkan performa proses data mining pada set data berskala besar. Metode: Model yang diusulkan mengintegrasikan kekuatan algoritma Random Forest dalam menangani data terstruktur dan ketahanan terhadap overfitting, dengan kemampuan Jaringan Saraf Tiruan (Neural Network) dalam memodelkan hubungan non-linear yang kompleks. Penelitian menggunakan studi kasus pada data churn pelanggan dari industri e-commerce yang berisi 1,5 juta catatan, dengan tahapan proses data mining secara komprehensif, mulai dari preprocessing data, rekayasa fitur, hingga implementasi model. Hasil: Hasil evaluasi menunjukkan bahwa model hibrida mencapai akurasi sebesar 94,7% dan nilai AUC (Area Under the Curve) 0.97, secara signifikan mengungguli model Random Forest (Akurasi 91,2%, AUC 0.93) dan Jaringan Saraf Tiruan (Akurasi 92,5%, AUC 0.95) yang dijalankan secara individual. Meskipun model hibrida memerlukan waktu komputasi yang sedikit lebih tinggi, peningkatan akurasi yang substansial memberikan justifikasi kuat atas penggunaannya dalam skenario bisnis kritis. Implikasi/Kesimpulan: Penelitian ini memberikan bukti empiris bahwa pendekatan AI hibrida merupakan strategi yang efektif dan menjanjikan untuk mengatasi tantangan analisis big data, khususnya dalam skenario bisnis kritis di mana presisi prediksi menjadi prioritas utama
Hyundai Ioniq Ev Car Acquisition Analysis to Support Vehicle Forensics Activities
Full text linkElectric cars are motorized vehicles that use an electric motor as the main driver, which is run by a rechargeable battery. Electric cars have several advantages compared to conventional motorized vehicles that use internal combustion engines, such as lower emissions, cheaper operating costs and better performance. This research aims to identify vehicle forensics acquisition techniques in electric cars using the OBD port, by studying vehicle data usage activities. The acquisition focuses on the Hyundai Ioniq EV electric car, using the OBD port method in data retrieval_, and focusing on logical acquisition. This evidence may include location history, and connected devices, including sudden braking events, gear shifts, wheel speeds, and vehicle acceleration. The results of this research show that the OBD port can be a source of information in vehicle forensics, data collection. There were 20 digital pieces of evidence found, such as ECU data, telematics data, sudden braking system, wheel speed and vehicle acceleratio
Pengaruh Narasumber dan Saluran Komunikasi Terhadap Persepsi Mahasiswa
No full textThis study aims to identify credible sources of information as well as communication channels used by Kalimantan students in receiving information about the palm oil industry for the 2023–2024 period. In addition, this study also describes the perception of Kalimantan students about the palm oil industry in Indonesia and analyzes the influence of resource persons and communication channels on this perception. This study uses a positivist paradigm with a descriptive and explanatory approach to analyze the data obtained through a questionnaire survey based on the Likert scale. The results of the study show that the credibility of the resource persons, especially researchers and academics, has a significant influence on student perception. Communication channels that support direct interaction, such as seminars or discussions, have proven to be more effective in forming a deeper perception of the palm oil industry. Theoretically, this research is expected to provide new insights into effective communication strategies, especially for issues related to the palm oil industry. Practically, the results of this study can be a reference for palm oil industry stakeholders in developing more relevant and effective communication strategies.Penelitian ini bertujuan untuk mengidentifikasi narasumber informasi yang kredibel serta saluran komunikasi yang digunakan mahasiswa Kalimantan dalam menerima informasi mengenai industri sawit periode 2023–2024. Selain itu, penelitian ini juga menggambarkan persepsi mahasiswa Kalimantan tentang industri sawit di Indonesia dan menganalisis pengaruh narasumber serta saluran komunikasi terhadap persepsi tersebut. Penelitian ini menggunakan paradigma positivisme dengan pendekatan deskriptif dan eksplanatif untuk menganalisis data yang diperoleh melalui survei kuesioner berbasis skala Likert. Hasil penelitian menunjukkan bahwa kredibilitas narasumber, khususnya peneliti dan akademisi, memiliki pengaruh signifikan terhadap persepsi mahasiswa. Saluran komunikasi yang mendukung interaksi langsung, seperti seminar atau diskusi, terbukti lebih efektif dalam membentuk persepsi yang lebih mendalam mengenai industri sawit. Secara teoritis, penelitian ini diharapkan dapat memberikan wawasan baru dalam strategi komunikasi yang efektif, terutama untuk isu-isu terkait industri sawit. Secara praktis, hasil penelitian ini dapat menjadi referensi bagi para stakeholder industri sawit dalam menyusun strategi komunikasi yang lebih relevan dan efektif
Analisis Conceptual Cost Estimation (CCE) untuk Pembangunan Gedung Kuliah Bersama Tambahan (GKB 3)
No full textCost estimation plays a crucial role in ensuring the feasibility and success of construction projects. However, producing accurate estimates, particularly in the early conceptual stages, remains a challenge due to limited information. This study addresses the issue by analyzing the cost estimation process for the construction of the Joint Lecture Building (GKB 3) at State University of Malang. The objective of this study is to provide an accurate and systematic cost estimation to support the construction planning of GKB 3. The study employs a conceptual cost estimation (CCE) method. Data were obtained from field surveys (primary data) and relevant regulatory standards, technical documents, and unit prices (secondary data). Key inclusion criteria include projects categorized under multi-story educational buildings. Analytical descriptive methods were used to process the data. The results indicate that the total building area for GKB 3, spanning nine floors, is 29,932 m², with an estimated cost of IDR 865,037,221,000. This amount includes standard costs, non-standard costs, and Value Added Tax (VAT). Standard costs were calculated using the building's area, multiplying factors, and unit price standards. Non-standard costs, such as installations for air conditioning, elevators, and fire protection systems, were estimated based on regulatory guidelines and their respective percentages of standard costs. In conclusion, the study highlights the importance of employing systematic and regulation-based estimation methods to achieve accurate cost calculations. This approach ensures efficient resource allocation and supports strategic planning for the construction of educational infrastructure.Estimasi biaya merupakan elemen penting dalam proyek konstruksi untuk memastikan anggaran yang tepat. Penelitian ini menganalisis estimasi biaya pembangunan Gedung Kuliah Bersama 3 (GKB 3) menggunakan data primer seperti survei lapangan dan data sekunder berupa standar regulasi dan harga satuan. Hasil menunjukkan total biaya sebesar Rp865.037.221.000, mencakup biaya standar, non-standar, dan PPN. Pendekatan ini menyoroti pentingnya metode estimasi berbasis regulasi dan data aktual dalam menghasilkan perhitungan biaya yang akurat