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Showing 413 articles found for "Achieve"

ANALISIS DATA HASIL KEUNTUNGAN MENGGUNAKAN SOFTWARE RAPIDMINER

Nofitri, Rika, Irawati, Novica
Abstract: Abstract: The application of information technology is currently growing so rapidly. One of them is the application of technology that can be applied in the industrial world, namely to evaluate the company's performance.… Evaluation is a necessity for companies to move forward and develop in facing business competition. One method of evaluating that can be used objectively is extracting information through a stored database. This study intends to analyze the factors that affect profit outcomes based on profit-based data. The data will be analyzed using method Bayes. Through this method will get a pattern that affects profits. However, it is not easy to analyze data with this method because of the large amount of data that will cost a lot of time and time. So to simplify the analysis, researchers use tools in analyzing the data the results of the benefits of rapidminer software. Based on the results of the analysis carried out, rapidminer software can help and make it easier to produce probabilities to be predicted. The results of this study are from the set test conducted, the prediction of profit results can be ascertained to be achieved and the possibility of certainty is reached 0.59% and the possibility of not reaching 0.41%.   Keywords: Data Mining, Neive Bayes, Rapidminer, Benefits    Abstrak: Penerapan teknologi informasi saat ini berkembang begitu pesat. Salah satunya penerapan teknologi yang dapat diterapkan didunia industri yaitu untuk evaluasi terhadap kinerja perusahaan. Evaluasi merupakan suatu keharusan bagi perusahaan untuk terus maju dan berkembang  menghadapi persaingan usaha. Salah satu cara mengevaluasi yang dapat dugunakan secara objektif yaitu penggalian informasi melalui database yang tersimpan.Penelitian ini bermaksud untuk menganalisa faktor yang mempengaruhi hasil keuntungan berdasarkan data hasil keuntungan. Data tersebut akan dianalisis menggunakan metodeneive bayes. Melalui metode ini akan mendapatkan pola yang mempengaruhi keuntungan.Namun tidaklah mudah dalam menganalisis data dengan metode ini dikarenanakan banyaknya data yang akan menghabiskan biaya dan waktu yang cukup lama. Maka untuk mempermudah analisis tersebut, peneliti menggunakan alat bantu dalam menganalisis data hasil keuntungan yaitusoftware rapidminer.Berdasarkan hasil analisis yang dilakukan, software rapidminer dapat membantu dan mempermudah menghasilkan probabilitas untuk dijadikan prediksi. Hasil penelitian ini adalah dari uji set yang dilakukan, prediksi hasil keuntungan dapat dipastikan tercapai dan kemungkinan kepastian tercapai 0,59% serta kemungkinan tidak tercapai 0,41%.   Kata Kunci : Data Mining, Neive Bayes, Rapidminer, Keuntungan  

ANALISIS PERBANDINGAN PENGIRIMAN BARANG MENGGUNAKAN METODE VOGEL’S APPROXIMATION METHOD (VAM) DAN MODIFIED DISTRIBUTION (MODI)

Lestari, Oni Dewi, Christy, Tika
Abstract: Abstract: The transportation model relates to determining the lowest cost plan for sending one item from a number of sources to a number of destinations. The working principle of the VAM method is to achieve an initial feasible… easible solution. MODI Method (Modified Distribution) is a method of solving transportation cases developed from stepping stone method. The purpose of this research is to analyze the comparison of goods delivery using the VAM method and the MODI method. The results of the study indicate that operational costs are issued using the VAM method in January 2015, which is Rp. 34.100 and operational costs incurred using the VAM method in February 2015, namely Rp. 39.400. While the operational costs incurred using the MODI method in January 2015 are Rp. 33.800 and operational costs incurred using the MODI method in February 2015, which is Rp. 37.900.             Keywords: vam method, modi method, transportation model   Abstrak: Model transportasi berkaitan dengan penentuan rencana biaya terendah untuk mengirimkan satu barang dari sejumlah sumber ke sejumlah tujuan. Prinsip kerja metode VAM ialah untuk mencapai solusi fisibel awal. Metode MODI (Modified Distribution) merupakan metode penyelesaian kasus transportasi yang di kembangkan dari metode stepping stone. Tujuan penelitian ini, menganalisa perbandingan pengiriman barang menggunakan metode VAM dan metode MODI. Hasil penelitian menunjukkan bahwa biaya operasional yang dikeluarkan dengan menggunakan metode VAM pada bulan januari 2015 yaitu Rp. 34.100 dan biaya operasional yang dikeluarkan dengan menggunakan metode VAM pada bulan februari 2015 yaitu Rp. 39.400. Sedangkan biaya operasional yang dikeluarkan dengan menggunakan metode MODI pada bulan januari 2015 yaitu Rp. 33.800 dan biaya operasional yang dikeluarkan dengan menggunakan metode MODI pada bulan februari 2015 yaitu Rp. 37.900.   Kata kunci: metode vam, metode modi, model transportasi  

PENENTUAN PRIORITAS KPI UNTUK PERFORMANCE MEASUREMENT PEMELIHARAAN PLTA MENGGUNAKAN METODE ANALYTICAL HIERARCY PROCESS (AHP)

Meri, Mufrida, Dila, Vera
Abstract: Abstract : Currently hydropower is a power plant that has a high potential to be developed in Indonesia because it has an adequate water source. Evaluation of plant maintenance performance becomes one important factor because… cause it is one of the company's strategy to achieve its goals. For that we need a method to determine the priority of KPI where the company prioritized that can provide a balanced point of view of the overall system performance one of them is by implementing Analytical Hierarcy Process (AHP). Based on the AHP method of 16 KPIs consisting of 6 KPIs for Corporate Level, 6 KPIs for Strategic Level and 4 KPIs for Functional Level. From the results of the assessment of respondents involved KPI is the most prioritized PLTA LubukGadang Power Plant, South Solok Regency is known that the most priority factor companies at corporate level that is the number of kWh produced with a weight of 0.420. For strategic level that is capacity factor with weight 0,478 while for functional level that is rework maintenance with weight equal to 0,540. KeyWord :Decision Support System, KPI, AHP,CompanyStrategy, Weighting Abstrak :Saat ini PLTA merupakan pembangkit listrik yang memiliki potensi yang tinggi untuk dikembangkan di Indonesia karena memiliki sumber air yang memadai.Evaluasi kinerja pemeliharaan pembangkit menjadi salah satu faktor yang penting karena merupakan salah satu strategi perusahaan untuk mencapai tujuannya.Untuk itu diperlukan suatu metode untuk menentukan prioritas KPI mana yang diprioritaskan perusahaan yang dapat memberikan sudut pandang yang seimbang terhadap keseluruhan system kinerja salah satu diantaranya adalah dengan mengimplementasikan Analytical  Hierarcy Process (AHP). Berdasarkan metode AHP dari 16 KPI yang terdiri dari 6 KPI untuk Corporate Level, 6 KPI untuk Strategic Level dan 4 KPI untuk Functional Level. Dari hasil penilaian responden yang terlibat didapatkan KPI  yang paling diprioritaskan PLTA Unit Pembangkit Listrik Lubuk Gadang, Kabupaten Solok Selatan  diketahui bahwa faktor yang paling diprioritaskan perusahaan pada corporate level yaitu banyaknya kWh yang diproduksi dengan bobot 0,420. Untuk strategic level yaitu capacity factor dengan bobot 0,478 sedangkan untuk functional level yaitu maintenance rework dengan bobot sebesar 0,540. KeyWord :Sistem Pengambilan Keputusan, KPI, AHP, strategi perusahaan, pembobotan

Pemetaan Siswa Berprestasi Menggunakan Metode K-Means Clustring

Sibuea, Mustika Larasati, Safta, Andy
Abstract: Abstract: The high level of student success and the low level of student failure is a quality of the education world. The world of education is currently required to have the ability to compete by utilizing all resources… owned. In addition to facilities, infrastructure and human resources, information systems are one of the resources that can be used to improve competency skills. Data mining is a process of data analysis to find a dataset of data set. Data mining is able to analyze large amounts of data into information that has meaning for decision supporters. One process of data mining is clustring. Attributes used in the grouping of student achievement are Name, Extracurricular, Value which include Task Value, Uts Value, Value of Uses, total absenteeism, and Attitude value. The case study of 20 students with distance calculation using manhattan distance, chbychep distance and euclidian distance yielded 67% accuracy.             Keywords: data mining, clustering, k-means, student achievement     Abstrak: Tingginya tingkat keberhasilan siswa dan rendahnya tingkat kegagalan siswa merupakan cemin kualitas dunia pendidikan.Dunia pendidikan saat ini dituntut untuk memiliki kemampuan bersaing dengan memanfaatkan semua sumber daya yang dimiliki. Selain sumber daya sarana, prasarana dan manusia, sistem informasi merupakan salah satu sumber daya yang dapat digunakan untuk meningkatkan kemampuan barsaing. Data mining merupakan proses analisa data untuk menemukan suatu pola dara kumpulan data. Data mining mampu menganalisa jumlah data yang besar menjadi informasi yang mempunyai arti bagi pendukung keputusan. Salah satu proses data mining adalah clustring. Atribut yang digunakan dalam pengelompokan prestasi siswa adalah Nama, Ekstrakulikuler, Nilai yang meliputi Nilai Tugas, Nilai Uts, Nilai Uas, jumlah ketidak hadiran siswa (absensi), dan Nilai sikap. Studi kasus pada 20 siswa dengan perhitungan jarak menggunakan manhattan distance, chbychep distance dan euclidian distance menghasilkan akurasi sebesar 67%.   Kata kunci: data mining, clustering, k-means, prestasi siswa

The Effect of Using Wordwall Application on 11th Graders' Speaking Skill at SMAN 1 Ciruas

Ghina Fadhila, Syafrizal, Eri Rahmawati
Abstract: This research was undertaken to analyze the influence of the Wordwall application on the speaking skills of eleventh-grade students at SMAN 1 Ciruas. Consequently, Wordwalluantitative methodology and a quasi-experimental&#8230; design involving 82 participants, organized into two equally sized groups, namely the experimental and control groups. Data collection was conducted through speaking assessments administered prior to and following the treatment. The findings showed that students who received the treatment achieved better improvement in speaking skills than those in the control group. The average score achieved by the experimental group increased from 63.90 to 83.12, whereas the control group’s mean score rose from 66.15 to 74.34. The hypothesis test results revealed a significance value below 0.05 (p < 0.001), providing evidence of a statistically significant difference between the groups. The results point to the fact that the Wordwall application was effective in enhancing students’ speaking skills.. Consequently, Wordwall can be considered an effective technology-based learning tool for promoting speaking skill development in English language learning.

The Transition from Conventional Constitutions to Digital Law: Constitutional Law Challenges in the Age of Artificial Intelligence

Septia, Sya’baniatie Ninda
Abstract: The rapid advancement of digital technology and artificial intelligence (AI) in the twenty-first century has fundamentally transformed the structure of modern constitutional governance. Digitalization has reshaped the interactions&#8230; teractions between governments and citizens, altered the patterns of political participation, and presented major challenges to constitutional principles. This study aims to analyze the implications of technological development for constitutional law and propose the concept of a digital constitution as an adaptive framework in the AI era. This study employs a normative legal method, using both conceptual and statutory approaches. Legal materials consist of primary, secondary, and tertiary sources, which are analyzed qualitatively and descriptively. The findings reveal that, while digital transformation enhances governmental efficiency and public transparency, it also generates serious risks, including data misuse, digital surveillance, and political disinformation. These dynamics demand a reinterpretation of constitutional norms to protect citizens' digital rights in cyberspace. The concept of a digital constitution is proposed as a normative response that integrates digital rights into constitutional rights and reaffirms the principle of the rule of law within technological governance. To achieve a democratic and just constitutional order, it is crucial to strengthen regulatory frameworks, ensure algorithmic accountability, and foster collaboration among state institutions, civil society, and the private sector. Ultimately, constitutional law must evolve into an adaptive, transparent, and fair system that can address the profound challenges of the digital and AI-driven era.

Implementation of Brain-Based Learning to Reduce Mathematics Anxiety in the Teaching of Fractions at Primary School

Erni Nurjanah, Asep Supena
Abstract: This research examines the application of the Brain-Based Learning (BBL) model to reduce math anxiety in teaching fractions at the elementary school level. This study used a quantitative approach with a pretest–posttest&#8230; t quasi-experimental control group design involving two fifth-grade classes: one experimental class that received fraction instruction through BBL and one control class that was taught using conventional methods, with 40 students in each group. Mathematics anxiety related to fractions was measured using a modified mathematics anxiety scale for elementary school students, while fraction achievement was evaluated through a valid written test. The results showed that both groups had relatively equivalent initial abilities, supported by normal and homogeneous pretest data and no significant differences in pretest scores. After the intervention, the experimental class showed consistently lower levels of anxiety related to fractions in all dimensions (tests/assessments, classroom learning situations, fraction tasks, and fraction avoidance) and significantly higher post-test scores than the control class, with an average difference of about seven points. The findings show that BBL, which aligns the learning process with the way the brain naturally learns by fostering positive emotions, multisensory experiences, and meaningful social interaction, is effective in improving students' understanding of fractions while simultaneously reducing their math anxiety. This study offers a unique perspective by conducting an experimental trial of BBL as a targeted intervention for math anxiety related to fractions in Indonesian elementary schools and highlighting its potential as a neuroeducation-based pedagogical strategy to foster numeracy and emotional well-being in math learning.

Mobile Learning Applications for Islamic Studies: A Systematic Review of Design Principles and Learning Outcomes

Ibadurrahman, Muhammad, Asep Supriyadi, Muhamad Nizan Solahudin, Wawan Ridwan, Lina Nuraini, Aas Solihat, Andriyana Andriyana
Abstract: The advancement of digital technology has paved the way for the emergence of various mobile learning applications increasingly used within the context of Islamic education. This phenomenon not only reflects the trend of&#8230; integrating technology into modern learning systems but also raises fundamental questions about how these applications are designed and how far they impact learners’ experiences and learning outcomes. This article presents a systematic review of scholarly studies discussing the use of mobile applications in Islamic studies education. The review focuses on two key aspects: the design principles employed in application development and the learning outcomes achieved following their use. The review involved selecting literature from the past six years using specific inclusion criteria, including content relevance, source credibility, and its connection to mobile learning practices in Islamic education. Analysis reveals that designs considering cultural appropriateness, user interface interactivity, and integration of Islamic values positively influence students' emotional engagement, motivation, and content comprehension. Learning outcomes also extend into affective and spiritual domains, not merely cognitive. These findings serve as an initial foundation for developers and educators to build an adaptive, meaningful, and value-based Islamic mobile learning ecosystem.

The Influence of Regional Wealth, Regional Expenditure and General Allocation Funds on Regional Government Performance

Wa Ode Aprisilia Zahratun Azis, Mulyati Akib
Abstract: This study aims to analyze the effect of regional wealth, regional expenditure, and General Allocation Fund (DAU) on local government performance in Indonesia. Local government performance is strongly influenced by how these&#8230; hese three factors are managed and optimized. Well-managed local wealth can increase regional fiscal capacity and reduce dependence on funding from the central government. Effective and efficient local expenditure plays a role in providing quality public services, while DAU makes an important contribution to regions with limited fiscal capacity. The method used in this research is a literature study by analyzing related literature, including scientific articles, government reports, and previous research. The results show that the interaction between the three factors has a significant impact on local government performance, which is reflected in development achievements and improvements in people's quality of life. Recommendations from this study include the need for more efficient management of local wealth, more focused allocation of local expenditure to priority sectors, and reduced dependence on DAU by increasing local own-source revenue (PAD). This study also suggests further research to explore the impact of DAU management on regional fiscal resilience.

Comprehensive Analysis of Osh Implementation in Community Health Center Based on Permenkes No. 52 of 2018 in Supporting Accreditation Achievement (A Case Study of Padangsari Community Health Center)

Mambe, Sherly
Abstract: Health workers are 1.5 times higher risk of work accidents compared to other professions, with 90% of incidents occurring in developing countries. WHO noted that 3 million out of 35 million health workers are exposed to&#8230; blood pathogens, increasing the risk of HIV (0.4%), HBV (27-37%), and HCV (3-10%). One of Health center accreditation purpose is to makesure safety to both health workers and patient. In 2023, out of 37 health centers in Semarang, 36 health centers (97.3%) achieved “Plenary” accreditation and 1 Health Center (2.7%) achieved “Main” accreditation. The purpous of this study are to To determine the current OSH practice and determine OSH aspect that needs improvement based on Health Ministry Regulation No.52 of 2018. qualitative methods with a case study design. Occupational Safety and Health (OSH) management at Padangsari Health Center was evaluated based on 92 indicators from three main aspects. In the OHS management criteria, 14 out of 23 indicators (60.9%) have been met. For OSH standards, 45 out of 61 indicators (73.8%) have been met. Meanwhile, 8 indicators related to OSH training, reporting, and recording have all been met. Although Padangsari Health Center has achieved "Main" accreditation with an achievement of 72.8%, further efforts are still needed to meet at least 80% of the assessment indicators in order to obtain the highest accreditation, namely "Plenary". It is recommended to improve indicators, especially in improving OHS planning, strengthening supervision, ensuring staff compliance with SOPs, and evaluating the effectiveness of OSH implementation in the future.