Abstract:Employee performance is a crucial factor in supporting the success of government organizations in achieving public service objectives. The Department of Education and Culture of Jayapura City continues to face various challenges…
allenges related to work motivation, work discipline, and the work environment, which are presumed to influence employee performance. This study aims to analyze the effects of work motivation, work discipline, and the work environment on employee performance, both partially and simultaneously. The research employed a quantitative approach with an explanatory research design. The study population consisted of 87 employees, all of whom were selected as respondents through a saturated sampling technique. Data were collected using questionnaires and analyzed through multiple linear regression with the assistance of IBM SPSS Statistics. The findings reveal that work motivation has a positive and significant effect on employee performance, with a significance value of 0.002 and a regression coefficient of 0.388. Work discipline also demonstrates a positive and significant effect, with a significance value of 0.002 and a regression coefficient of 0.310. The work environment emerges as the most dominant variable, with a significance value of 0.000, a regression coefficient of 1.238, and a beta coefficient of 0.417. Simultaneously, work motivation, work discipline, and the work environment significantly influence employee performance, as indicated by an F-statistic of 40.438 and a significance value of 0.000. The coefficient of determination (R Square) of 0.594 indicates that 59.4% of the variation in employee performance can be explained by these three variables. The novelty of this study lies in its empirical evidence that the work environment constitutes the most dominant factor affecting employee performance within the Department of Education and Culture of Jayapura City, an institution characterized by distinctive organizational features and service-area conditions.
Abstract:The objective of this research is to provide engaging and tailored learning materials that cater to the needs of students, facilitating comprehension and playing a vital part in achieving academic achievement. This study…
employs the Research and Development (R&D) methodology. Through the utilization of research and development (R&D), the primary focus of investigation can be directed towards the creation, advancement, and assessment of learning media in terms of design and viability. The end result is an Android game that serves as a learning tool for computer system topics. The assessment findings indicate that the storyboard design has achieved a validity score of 4.91 out of 5, placing it in the “Very Good” category. The score was derived from the evaluation of two design professionals. The initial design expert assigned a validity score of 4.88, while the second design expert assigned a validity score of 4.94 on a 5-point scale. These scores indicate that the research results fall into the “Very Good” category. According to the assessment conducted by linguists, the language employed in creating the tale has been given a validity score of 4.73 out of 5, placing it in the “Very Good” category. The score was derived from two linguists. The initial linguist assigned a validity score of 4.5, while the second linguist assigned a validity score of 4.7 on a 5-point scale. These scores placed the results of the study in the “Very Good” category. The study has reached its conclusion. The development step use the RPG Maker MV program. The development results include the creation of various maps such as the devil's palace map (for the purpose of kidnapping the royal princess), prologues 1 and 2, the map inside the king's palace, the map outside the king's palace, the village map, the library map, the sword shop map, the armor shop map, the forest map, the bridge map, the desert map, the cave map, the magma map, the devil's palace outer map, the devil's palace inside map, the king's palace page map, and the epilogue.
Abstract:This study aims to analyze the use of Internet of Things (IoT) technology in the novel "Hujan" by Tere Liye. This novel shows how the love story and life struggle of the main character, Lail, are connected to the development…
ment of IoT technology. This research aims to understand how IoT technology shapes the story from the aspect of the situation to the characteristics of the related IoT devices. Through the hermeneutic method, this research identifies the use of IoT in several contexts. The findings obtained in the novel are 1) Smart Buildings, 2) Smart Farming, 3) Smart Home, 4) Smart City, and 5) Smart Healthcare. The results show that IoT technology is a key element in achieving a more advanced and connected digital society, bringing positive impacts in daily life and providing smart solutions to various global challenges.
Abstract:This research aims to analyze the implementation of Law Number 10 of 2009 concerning Tourism and explore the management steps in the development of the Clungup Mangrove Conservation (CMC) Tiga Warna Area in Malang Regency.…
y. Through the establishment of these objectives, it is hoped to provide more specific guidance in achieving progress in the sustainable tourism sector. The development of the tourism sector is the main focus in supporting economic growth and community welfare. To ensure effective management, the Government has enacted Law Number 10 of 2009 concerning Tourism. This law is designed to provide the necessary limitations and guidance to advance the tourism sector. One of the main goals of this law is to create a clear framework and provide necessary guidance to achieve sustainable development in the tourism sector. The research method used is qualitative descriptive, and the conclusion of this study indicates that the CMC Tiga Warna Area has successfully integrated tourism activities with nature conservation and engaged the local community through the non-governmental organization Bhakti Alam Sendang Biru. With an emphasis on conservation and sustainable development aspects, CMC Tiga Warna proves itself as a successful example of the implementation of the Tourism Law, which aims to achieve economic growth, nature preservation, and community welfare.
Abstract:This research purpose to determine the financial performance of PT Indofood Sukses Makmur, Tbk in 2018-2022 period using financial ratio analysis. The basis for assessing and achieving a company is through financial analysis…
ysis so that the company can control its financial condition and create a company framework. In assessing the job prospects of a company in the past and future and assessing the achievements of a company, financial ratio analysis is used which includes liquidity ratios (current ratio), solvency ratios (debt to asset ratio), activity ratios (total asset turnover), profitability ratio (return on equity) and market ratio (earnings per share). This research is descriptive research which is studied quantitatively. The population of the research is all financial reports of PT. Indofood Sukses Makmur, Tbk is listed on the IDX in 2018-2022 period. The sample for this research is the financial position report and comprehensive income statement in 2018-2022 period. Data collection was carried out using documentation techniques. The results of this research found that the overall financial performance of PT. Indofood Sukses Makmur, Tbk in 2018-2022 period based on analysis of liquidity ratios and solvency ratios is in fairly good condition. Meanwhile, profitability ratios and market ratios are in good condition. However, regarding the activity ratio, the condition of PT. Indofood Sukses Makmur, Tbk is still not efficient so it can be said to be not good. This is due to an increase in sales and total assets during the 2018-2022 period. Based on the results of calculations and analysis of financial ratios, it can be concluded that the financial performance of PT. Indofood Sukses Makmur, Tbk in 2018-2022 period experiences growth in various aspects and profitability can increase, making the company profitable.
Abstract:Abstract: Motorcycle sales are one of the key indicators of growth in Indonesia’s automotive industry. CV. Honda Karya Utama, as an authorized Honda motorcycle dealer, faces challenges due to unstable monthly sales fluctuations.…
ctuations. This uncertainty complicates stock planning, marketing strategy formulation, and may lead to potential losses caused by overstocking or understocking. To address these issues, this study aims to analyze the relationship between time and sales volume and to develop a predictive model that can assist management in making more effective business decisions.
The research was conducted using a quantitative method and a machine learning approach by applying a linear regression algorithm, implemented through the Python programming language and a MySQL database. The dataset used consists of monthly sales data over one year, analyzed to predict future sales trends. The results show that the linear regression algorithm can predict sales trends with a good level of accuracy, achieving evaluation values of MAPE 1.72%, MSE 1.76%, and RMSE 0.57. The developed model assists management in formulating marketing strategies, optimizing inventory planning, and minimizing financial risks. Therefore, linear regression can serve as an effective analytical tool to support strategic business decision-making at CV. Honda Karya Utama.
Keywords: motorcycle sales; linear regression; prediction; sales analysis
Abstrak: Penjualan sepeda motor merupakan salah satu indikator penting dalam pertumbuhan industri otomotif di Indonesia. CV. Honda Karya Utama sebagai dealer resmi sepeda motor Honda menghadapi tantangan berupa fluktuasi penjualan yang tidak stabil setiap bulannya. Ketidakpastian ini menyebabkan kesulitan dalam perencanaan stok, penentuan strategi pemasaran, serta berpotensi menimbulkan kerugian akibat kelebihan atau kekurangan persediaan. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan untuk menganalisis hubungan antara waktu dan jumlah penjualan serta membangun model prediksi yang dapat membantu manajemen dalam pengambilan keputusan bisnis yang lebih efektif. Penelitian dilakukan dengan metode kuantitatif dan pendekatan machine learning menggunakan algoritma regresi linier, dengan implementasi berbasis bahasa pemrograman Python dan basis data MySQL. Data yang digunakan berupa data penjualan bulanan selama satu tahun, yang kemudian dianalisis untuk memprediksi tren penjualan pada periode berikutnya. Hasil penelitian menunjukkan bahwa regresi linier mampu memprediksi tren penjualan dengan tingkat akurasi yang baik, dengan nilai evaluasi MAPE sebesar 1,72%, MSE 1,76%, dan RMSE 0,57. Model ini membantu manajemen dalam menyusun strategi pemasaran, mengoptimalkan perencanaan stok, serta meminimalkan risiko kerugian. Dengan demikian, regresi linier dapat menjadi alat bantu yang efektif dalam mendukung keputusan bisnis di CV. Honda Karya Utama.
Kata kunci: penjualan sepeda motor; regresi linier; prediksi; analisis penjualan
Abstract:Abstract: Student satisfaction with teacher performance plays a crucial role in improving the quality of education. Teacher performance evaluation is necessary to understand how well teaching meets student expectations.…
This study evaluates student satisfaction with teacher performance at MAS Alwashliyah Petatal using the COmplex PRoportional ASsessment (COPRAS) method, which effectively handles multi-criteria comparisons objectively. Data were collected through questionnaires completed by 66 out of 209 students (31.58% response rate), assessing 16 teachers based on four competency aspects: pedagogical, personality, social, and professional, with 12 sub-criteria. Despite the low participation rate, the data remained representative based on response distribution analysis. The results indicate that the COPRAS method accurately ranks teacher performance, with teacher Lia Novia, S.Pd achieving the highest satisfaction score (100%). These findings can be integrated into school policies, such as annual teacher evaluations and teacher development programs. The implementation of this evaluation system can also serve as a basis for designing teacher training that better aligns with student needs. Thus, the COPRAS method not only helps schools assess teacher performance more objectively but also supports more effective decision-making to enhance teaching quality and overall student satisfaction.
Keywords: COPRAS; evaluation; decision support system, student satisfaction; teacher performance
Abstrak: Kepuasan siswa terhadap kinerja guru berperan penting dalam meningkatkan kualitas pendidikan. Evaluasi kinerja guru diperlukan untuk memahami sejauh mana pengajaran memenuhi harapan siswa. Penelitian ini mengevaluasi tingkat kepuasan siswa terhadap kinerja guru di MAS Alwashliyah Petatal menggunakan metode COmplex PRoportional ASsessment (COPRAS), yang mampu menangani perbandingan multi-kriteria secara objektif. Data diperoleh dari kuesioner yang diisi oleh 66 dari 209 siswa (tingkat respons 31,58%), menilai 16 guru berdasarkan empat aspek kompetensi, yaitu pedagogik, kepribadian, sosial, dan profesional, dengan 12 sub-kriteria. Meskipun partisipasi rendah, data tetap representatif berdasarkan analisis distribusi jawaban. Hasil penelitian menunjukkan bahwa metode COPRAS memberikan pemeringkatan kinerja guru secara akurat, di mana guru Lia Novia, S.Pd memperoleh nilai kepuasan tertinggi (100%). Hasil ini dapat diintegrasikan dalam kebijakan sekolah, seperti evaluasi tahunan guru dan program pengembangan tenaga pendidik. Implementasi sistem evaluasi ini juga dapat digunakan sebagai dasar penyusunan pelatihan guru yang lebih sesuai dengan kebutuhan siswa. Dengan demikian, metode COPRAS tidak hanya membantu sekolah dalam menilai kinerja guru secara lebih objektif tetapi juga mendukung pengambilan keputusan yang lebih tepat untuk meningkatkan mutu pengajaran dan kepuasan siswa.
Kata kunci: COPRAS; evaluasi; kepuasan siswa; kinerja guru; sistem pendukung keputusan
Abstract:Abstract: The selection process for students of the National Student Sports Olympiad (O2SN) in the field of Pencak Silat at SMA Negeri 1 Air Joman is often faced with various challenges that affect objectivity and fairness…
ss in decision making. Assessments carried out directly by coaches tend to be non-objective, so that students who are sent to participate in the National Student Sports Olympiad (O2SN) are not alternately. Inaccuracy in selecting eligible students not only harms potential students, but can also reduce the school's chances of achieving success in the O2SN event. Therefore, a Decision Support System (DSS) is needed that can help improve objectivity, accuracy, and efficiency in the selection process, so that it can produce more precise and fair decisions. The decision support system used is the MOORA method. This system is designed to assist schools in determining students who are eligible to represent the school in the O2SN competition based on several criteria such as age, weight, strength, technique (moves) and student attendance. These criteria are analyzed and weighted according to their level of importance. Furthermore, the MOORA method is applied to calculate and rank students. The results of this study indicate that the students selected to participate in O2SN Pencak Silat are Joko Satrio and Wisnu Ramadan with optimization values of 0.339 and 0.281.
Keywords: moora; o2sn; student selection; decision support system
Abstrak: Proses seleksi siswa Olimpiade Olahraga Siswa Nasional (O2SN) di bidang Pencak Silat di SMA Negeri 1 Air Joman sering kali dihadapkan pada berbagai tantangan yang mempengaruhi objektivitas dan keadilan dalam pengambilan keputusan. Penilaian yang dilakukan secara langsung oleh pelatih cenderung bersifat tidak objektif, sehingga siswa yang dikirimkan untuk mengikuti Olimpiade Olahraga Siswa Nasional (O2SN) tidak secara bergantian. Ketidaktepatan dalam pemilihan siswa yang layak tidak hanya merugikan siswa yang berpotensi, tetapi juga dapat mengurangi peluang sekolah untuk meraih prestasi di ajang O2SN. Oleh karena itu, diperlukan suatu Sistem Pendukung Keputusan (SPK) yang dapat membantu meningkatkan objektivitas, akurasi, dan efisiensi dalam proses seleksi, sehingga mampu menghasilkan keputusan yang lebih tepat dan adil. Sistem pendukung keputusan yang digunakan adalah dengan metode MOORA. Sistem ini dirancang untuk membantu pihak sekolah dalam menentukan siswa-siswa yang layak mewakili sekolah pada kompetisi O2SN berdasarkan beberapa kriteria seperti usia, berat badan, kekuatan, teknik (jurus) dan kehadiran siswa. Kriteria-kriteria tersebut dianalisis dan diberikan bobot sesuai dengan tingkat kepentingannya. Selanjutnya, metode MOORA diterapkan untuk melakukan perhitungan dan pemeringkatan siswa. Hasil dari penelitian ini menunjukkan bahwa siswa yang terpilih mengikuti O2SN Pencak Silat adalah Joko Satrio dan Wisnu Ramadan dengan nilai optimasi sebesar 0,339 dan 0,281.
Kata Kunci: moora; o2sn; seleksi siswa; sistem pendukung keputusan
Abstract:Abstract: The government has made many efforts to eradicate poverty in society by implementing programs such as pro-poor, basic food assistance and cash assistance which are useful for achieving the standards of a prosperous…
rous society. The results of data processing are useful in future decision making. Considering the large amount of public data, finding out poor people is not an easy thing for the government to do, as is the case in North Sumatra. This research uses the K-Means Clustering (Multidimensional) method, making it easier to see patterns and structures in data that are difficult to see in the original representation. The application of the K-Means Clustering (Multidimensional) algorithm produces 3 clusters with a silhouette_score value of 33, namely cluster 0 with a high level of population poverty of 1, cluster 1 with a moderate level of population poverty of 4 and cluster 2 with a low level of population poverty as many as 28.
Keywords: Resident; Poor; Data Mining; K-Means
Abstrak: Banyak upaya yang dilakukan pemerintah untuk menghapus kemiskinan pada masyarakat dengan cara melakukan program seperti pro-poor, bantuan sembako maupun bantuan uang tunai yang berguna untuk mencapai standar masyarakat sejahtera. Hasil pengolahan data tersebut berguna dalam pengambilan keputusan kedepannya. Mengingat banyaknya data masyarakat, maka untuk mengetahui masyarakat miskin bukanlah hal mudah yang dilakukan oleh pemerintah, sama halnya di Sumatera Utara. Penelitian ini menggunakan metode K-Means Clustering (Multidimensi) memudahkan untuk melihat pola dan struktur dalam data yang sulit dilihat dalam representasi aslinya. Penerapan algoritma K-Means Clustering (Multidimensi) menghasilkan 3 cluster, yaitu dengan cluster 0 dengan tingat kemiskinan penduduk yang tinggi sebanyak 1, cluster 1 dengan tingat kemiskinan penduduk yang sedang sebanyak 4 dan cluster 2 dengan tingkat kemiskinan penduduk yang rendah sebanyak 28.
Kata kunci: Penduduk; Miskin; Multidimensi; Data Mining; K-Means
Abstract:Abstract: Information technology has a significant impact on everyday life, including in the business world. The use of the internet and information technology supports the concept of Customer Relationship Management (CRM)…
M) in maximizing customer service through websites. Customer satisfaction is an important factor in maintaining customer loyalty, and a CRM strategy is an effective approach to achieving this goal. Budi Bookstore faces various challenges in promoting products, manual data management, and a lack of interactive platforms for customers. Therefore, this research aims to implement a web-based CRM strategy at Budi Bookstore. The method used in this research is the CRM method, which is a method for increasing customer loyalty towards company products by using integrated software applications based on e-commerce business strategies. This research is also supported by qualitative methods which aim to provide a broad and in-depth understanding of a problem that is being or will be studied. The research results show that the implementation of web-based CRM at Budi Bookstore has succeeded in making it easier to access product information, designing an online sales system, and improving relationships with customers. Thus, this project has the potential to increase sales, attract customers, and provide customer satisfaction.
Keywords: CRM; Customer Loyalty; MySQL; PHP; Budi Bookstore
Abstrak: Teknologi informasi memiliki dampak signifikan dalam kehidupan sehari-hari, termasuk dalam dunia bisnis. Penggunaan internet dan teknologi informasi mendukung konsep Customer Relationship Management (CRM) dalam memaksimalkan pelayanan pelanggan melalui situs web. Kepuasan pelanggan menjadi faktor penting dalam mempertahankan loyalitas pelanggan, dan strategi CRM merupakan pendekatan yang efektif untuk mencapai tujuan ini. Toko Buku Budi menghadapi berbagai tantangan dalam mempromosikan produk, pengelolaan data manual, dan kurangnya wadah interaktif untuk pelanggan. Oleh karena itu, penelitian ini bertujuan untuk mengimplementasikan strategi CRM berbasis web di Toko Buku Budi. Metode yang digunakan pada penelitian ini ialah metode CRM yang merupakan metode untuk meningkatkan loyalitas pelanggan terhadap produk perusahaan dengan menggunakan aplikasi perangkat lunak terintegrasi berdasarkan strategi bisnis e-commerce. Penelitian ini juga didukung dengan metode kualitatif yang bertujuan untuk memberikan pemahaman secara luas dan mendalam terhadap suatu permasalahan yang sedang atau yang akan dikaji. Hasil penelitian menunjukkan bahwa implementasi CRM berbasis web di Toko Buku Budi berhasil mempermudah akses informasi produk, merancang sistem penjualan online, dan meningkatkan hubungan dengan pelanggan. Dengan demikian, proyek ini berpotensi meningkatkan penjualan, menarik pelanggan, dan memberikan kepuasan kepada pelanggan.
Kata kunci: CRM; Loyalitas Pelanggan; MySQL; PHP; Toko Buku Budi