Abstract:Abstract: Stunting is one of the nutritional problems that the world pays the most attention to and a major nutritional problem in Indonesia. Stunting is a problem in toddler growth which is characterized by a toddler's…
height that is too short compared to toddlers of his age. In the research location, namely Asahan Regency, the mapping of areas prone to increased stunting rates has not been carried out optimally. The process of exploring the stunting data warehouse is useful for adding information that can assist the government in making policies. Therefore, the aim of this research is to map stunting-prone areas in Asahan district based on the number of stunting cases in Asahan district using the machine learning-based K-Means clustering model. Based on previous research reviews, the k-means clustering method used has not used the normalization process. In addition, distance measurement only uses Euclidean Distance. Meanwhile, in this research, clustering performance analysis was carried out using a more in-depth process, namely by applying data normalization at the beginning, using the elbow method to determine the best number of clusters (K), measuring distance using Euclidean Distance, Manhattan Distance and Minkowski Distance to obtain comparison results. better clusters. The analysis results show that the best number of clusters is cluster 2 which shows the mapping results into 2 groups with a DBI of 0.51290 and a silhouette_score of 0.71432.
Keywords: stunting; k-means clustering; machine learning
Abstrak: Stunting menjadi salah satu permasalahan gizi yang paling diperhatikan dunia dan permasalahan gizi yang utama di Indonesia. Stunting merupakan masalah pada pertumbuhan balita yang ditandai dengan tinggi badan balita yang terlalu pendek dibanding balita seusianya. Pada lokasi penelitian yaitu Kabupaten Asahan, pemetaan daerah rawan peningkatan angka stunting belum dilakukan dengan optimal. Proses eksplorasi gudang data stunting ini berguna untuk menambah informasi yang dapat membantu pemerintah dalam mengambil kebijakan. Maka dari itu, tujuan dari penelitian ini adalah pemetaan daerah rawan stunting di kabupaten Asahan berdasarkan jumlah kasus stunting di Kabupaten Asahan menggunakan model clustering metode K-Means berbasis machine learning. Berdasarkan tinjauan penelitian terdahulu, metode k-means clustering yang digunakan belum menggunakan proses normalisasi. Selain itu, pengukuran jarak hanya menggunakan Euclidean Distance. Sedangkan dalam penelitian ini, analisis kinerja clustering yang dilakukan dengan proses yang lebih mendalam yaitu dengan penerapan normalisasi data di awal, penggunaan elbow method untuk penentuan jumlah cluster (K) terbaik, pengukuran jarak dengan Euclidean Distance, Manhattan Distance dan Minkowski Distance untuk mendapatkan hasil perbandingan cluster yang lebih baik. Hasil analisis menunjukkan bahwa jumlah cluster terbaik yaitu cluster 2 yang menunjukkan hasil pemetaan menjadi 2 kelompok dengan DBI 0.51290 dan silhouette_score sebesar 0.71432.
Kata kunci: stunting; k-means clustering; machine learning
Abstract:Abstract: Unemployment is a global economic issue that directly impacts human life in both developed and developing countries, especially in Indonesia, which, if ignored, will severely impact society's social dynamics. To…
o overcome this problem, forecasts are made so that later, the government can take policies to control and suppress the unemployment growth rate. This research aims to predict unemployment in Indonesia in 2023 using the Weighted Moving Average method, widely used to determine the trend of a time series, which is part of one of the Time Series methods that gives different weights. The dataset used was obtained from the Central Statistics Agency (BPS) relating to unemployment data from 2000 to 2022 (23 years). To analyze the level of accuracy of the results of this unemployment forecast using the MAD, MSE, and MAPE methods. This research concludes that the Weighted Moving Average method can be applied in predicting unemployment in Indonesia in 2023. The results of this research are a prediction of the number of unemployed in Indonesia, as many as 8,874,942 people at a weight value of 3 (three) where the accuracy of the MAD value is 745786.1833, the MSE value is 948402050986.3 and MAPE is 8.28%.
Keywords: forecasting; unemployment; weigth moving average; indonesia
Abstrak: Pengangguran menjadi isu ekonomi global yang berdampak secara langsung terhadap tingkat kehidupan manusia di negara-negara yang sudah maju maupun yang sedang berkembang khususnya di negara Indonesia, yang jika diabaikan akan berdampak serius terhadap dinamika sosial masyarakat. Untuk mengatasi permasalahan tersebut dibuatlah peramalan agar nantinya pemerinta dapat mengambil kebijakan dalam mengendalikan dan menekan angka pertumbuhan pengangguran tersebut. Penelitian ini bertujuan untuk memprediksi pengangguran di Indonesia pada tahun 2023 menggunakan metode Weighted Moving Average dimana metode ini banyak digunakan untuk menentukan trend dari suatu deret waktu yang merupakan bagian dari salah satu metode Time Series yang memberikan bobot yang berbeda-beda. Adapun dataset yang digunakan diperoleh dari Badan Pusat Satatistik (BPS) berkaitan dengan data pengangguran dari tahun 2000 sampai dengan tahun 2022 (selama 23 tahun). Untuk menganalisa tingkat akurasi dari hasil peramalan pengangguran ini memakai metode MAD, MSE, dan MAPE. Kesimpulan dari penelitian ini yaitu dapat diterapkannya metode Weighted Moving Average dalam memprediksi pengangguran di Indonesia pada tahun 2023. hasil dari penelitian ini berupa prediksi jumlah pengangguran di Indonesia sebanyak 8.874.942 orang pada nilai bobot 3 (tiga) dimana akurasi nilai MAD sebesar 745786,1833, nilai MSE sebesar 948402050986,3 dan MAPE sebesar 8,28 %.
Kata kunci: peramalan; pengangguran; weigth moving average; indonesia
Abstract:Abstract: Currently in Indonesia freight forwarding services or expeditions are increasingly being used in business. Companies that provide freight forwarding services are also increasingly popping up, besides that the range…
ange of shipping services is much wider, starting from big cities to small villages, now they are starting to become targets in the business process of freight forwarding services. There are also various kinds of goods that can be sent, ranging from small items, large items such as vehicles, or items that are private in nature such as documents. It is also undeniable that currently goods delivery services have become a mainstay of the community since the pandemic hit. However, in a number of cases with the onset of COVID-19 this can reduce income in goods delivery services due to the emergence of lock down policies in various regions according to the risk map zone for the spread of COVID-19 so that public transportation restrictions must be carried out, therefore it is necessary to carry out and also transformation in technology. One of the companies in the delivery service sector, namely a logistics company, must create a management strategy so that it can survive under the effects of the post-pandemic digital transformation in the logistics sector. In this study, the authors will discuss the business strategies carried out by logistics companies in dealing with the post-COVID-19 pandemic.
Keywords: logistics, strategy management, transformation digital
Abstrak: Saat ini di Indonesia jasa pengiriman barang atau ekspedisi semakin marak digunakan dalam proses bisnis. Perusahaan penyedia jasa layanan pengiriman barang pun semakin banyak bermunculan, selain itu jangkauan pengiriman barang pun jauh lebih luas mulai dari kota-kota besar sampai ke desa-desa kecil sekarang sudah mulai menjadi target dalam proses bisnis jasa layanan pengiriman barang. Barang yang dapat dikirim pun ada berbagai macam mulai dari barang yang kecil, barang yang besar seperti kendaraan, ataupun barang yang bersifat privasi seperti dokumen. Tidak dapat dipungkiri juga bahwa saat ini jasa pengiriman barang menjadi andalan masyarakat semenjak melandanya pandemi. Namun, pada beberapa kasus dengan melandanya COVID-19 ini bisa menurunkan penghasilan pada jasa layanan pengiriman barang dikarenakan munculnya kebijakan lock down di berbagai daerah sesuai dengan zona peta resiko penyebaran COVID-19 sehingga harus dilakukan pembatasan transportasi umum. Perusahaan di bidang jasa pengiriman yaitu perusahaan logistik harus membuat manajemen strategi yang lebih baik agar mampu bertahan di bawah pengaruh pandemic terhadap perusahaan logistic dalam teknologi informasi dalam transformasi digital ERP logistik. Pada penelitian ini penulis akan membahas mengenai strategi-strategi yang dilakukan oleh perusahaan logistic untuk menangani masalah tersebut.
Kata kunci: logistik, manajemen strategi,transformasi digital
Abstract:Abstract: MSMEs are an essential sector in regional economic growth. Up to now, Papua Province has been trying to improve the economy. Still, it seems not optimal, as seen from the Human Development Index and the Percentage…
age of the Poor Population, where Papua occupies the last rank. One of the causes found here is the processing of MSMEs that have not been optimal. MSME data collection services are still done manually with Microsoft Excel. This impacts making strategic policies for SMEs that are not optimal because their data are not updated. This study aims to develop a web-based MSME data collection application to facilitate the SME field admin and MSME actors for the data collection process. The method used in making this application is the waterfall method, where the development of this application is done sequentially. The final result of this study resulted in an easy application for collecting data on SMEs and updating data. In addition, it is also in the form of data collection reports for MSMEs and mapping of beneficiaries each year.
Keywords: Laravel Framework; UMKM Data Collection; Waterfall
Abstrak: UMKM merupakan sektor yang penting dalam pertumbuhan perekonomian daerah. Selama ini Provinsi Papua berusaha meningkatkan perekonomian, namun terkesan belum optimal, dapat dilihat dari Indeks pembangunan Manusia serta Persentasi penduduk Miskin, dimana Papua menempati Posisi terakhir di Indonesia. Salah satu penyebab yang di temukan disini adalah pengolahan UMKM yang belum optimal. Pelayanan pendataan UMKM masih dilakukan secara manual dengan Microsoft Excel. Hal tersebut berdampak dalam pengambilan kebijakan strategis UMKM yang tidak optimal, karena data yang dimiliki tidak up to date. Penelitian ini bertujuan tunk mengembangkan aplikasi pendataan UMKM berbasis web untuk mempermudah admin bidang UKM maupun pelaku UMKM untuk proses pendataan. Metode yang digunakan dalam pembuatan aplikasi ini adalah metode waterfall, dimana pengembangan aplikasi ini lakukan secara berurutan. Hasil akhir penelitian ini menghasilkan aplikasi yang mudah untuk untuk pendataan UMKM serta updating data. Selain itu juga berupa laporan pendataan UMKM dan juga pemetaan penerima bantuan setiap tahunnya.
Kata kunci: Framework Laravel; Pendataan UMKM; Waterfall,
Abstract:Abstract: Higher education is an institution engaged in services that provides services to internal and external consumers consisting of students, stakeholders and alumni both academically and non academically. The services…
ces provided determine the satisfaction of consumers. Higher education values are manifested in the form of accreditation. The value of accreditation is expected to be in accordance with the quality culture that runs in universities. To ensure customer satisfaction, universities must always evaluate the service policies provided based on established university standards. Evaluation is done by conducting an internal university quality audit. In the future, this activity will be routinely carried out to ensure that activities in higher education are in accordance with the standards set as a process for implementing a higher education quality culture. This is expected to be able to encourage the superior value of higher education accreditation by conducting analysis, costs and providing advice to support decisions by the highest leadership. The application of this framework analysis uses the Actor Network Theory approach to see the relationship between actors in the application of information technology so that the resulting information system is acceptable and in accordance with existing business processes at universal universities. The results of this study are a framework for making information systems based on the results of web-based ANT analysis.
Keywords: actor network theory; audit; iaps 4.0; it framework; internal quality of PT
Abstrak: Perguruan tinggi merupakan suatu lembaga yang bergerak dibidang jasa yang memberikan pelayanan kepada para konsumen internal dan eksternal yang terdiri dari mahasiswa, stakeholder dan alumni baik secara akademik dan non akademik. Pelayanan yang diberkan menentukan kepuasan para kosumen. Nilai perguruan tinggi diwujudkan dalam bentuk akreditasi. Nilai akreditasi diharapkan sesuai dengan budaya mutu yang berjalan didalam pergurua tinggi. Untuk menjamin kepuasan konsumen maka, perguruan tinggi harus selalu melakukan evaluasi terhadap kebijakan pelayanan yang diberikan berdasarkan standar perguruan tinggi yang ditetapkan. Evaluasi dilakukan dengan cara melakukan kegiatan audit mutu internal perguruan tinggi. Kegiatan ini kedepannya secara rutin dilakukan untuk memastikan aktivitas didalam perguruan tinggi sesuai dengan standar yang ditetapkan sebagai proses untuk menerapkan budaya mutu perguruan tinggi. Hal ini diharapkan mampu mendorong nilai unggul akreditasi perguruan tinggi dengan melakukan analisis, penilaian dan pemberian saran sebagai pendukung pengambilan keputusan oleh pimpinan tertinggi. Penerapan analisis kerangka kerja ini menggunakan pendekatan Actor Network Theory untuk melihat hubungan antara actor dalam penerapan teknologi informasi sehingga system informasi yang dihasilkan dapat diterima dan sesuai dengan bisnis proses yang ada pada universitas universal. Hasil dari penelitian ini adalah sebuah kerangka pikir untuk pembuatan system informasi berdasarkan hasil analisis ANT berbasis web.
Kata kunci: actor network theory; audit; iaps 4.0; kerangka kerja ti; mutu internal PT
Abstract:This study examines the influence of motivation and job satisfaction on employee performance at the Ministry of Religious Affairs in Maluku Province. Motivation and job satisfaction are critical factors that drive employee…
ee productivity and create a conducive work environment. Using quantitative methods, data were analyzed through regression tests, including T-test, F-test, and determination coefficient analysis, to explore the relationships between these variables. The results indicate that motivation has a strong and significant positive effect on employee performance, supported by a regression coefficient of 0.661 and a significance level of p < 0.001. Similarly, job satisfaction also significantly impacts performance, with a coefficient of 0.325 and p < 0.001, although its influence is comparatively lower than motivation. The simultaneous effect of motivation and job satisfaction was confirmed by an F-value of 396.748 and an R² of 0.922, indicating that 92.2% of the variation in employee performance can be explained by these two factors. The findings emphasize the importance of fostering both motivation and job satisfaction to improve employee performance effectively. Therefore, organizations should develop policies that enhance motivation through rewards and career development opportunities, as well as improve job satisfaction by ensuring supportive working conditions and recognizing employee contributions.
Abstract:This research aims to analyze the role of virtual teachers and teaching robots as transformative innovations in learning systems in the era of artificial intelligence (AI). With the development of AI technology, this research…
earch focuses on how these two technologies can increase learning effectiveness, personalize education, as well as the challenges and opportunities faced in their implementation. The research method used is a literature study with a qualitative approach, collecting and analyzing data from various sources such as journals, articles and reports related to virtual teachers, teaching robots and the application of AI in education. The research results show that virtual teachers and teaching robots are able to provide adaptive solutions in learning, such as 24/7 service, instant feedback, and a more interactive learning experience. However, its implementation still faces obstacles such as emotional limitations, ethical data use, and infrastructure readiness. This study concludes that this innovation has the potential to revolutionize education, as long as it is supported by appropriate policies, improving the quality of technology, and the readiness of human resources. This research provides recommendations for technology developers, educators and policy makers to optimize the use of AI in learning in the future.
Abstract:This research aims to analyze the comparison of character education system curricula in Indonesia and Finland. The focus of the research is to identify differences and similarities in the approach, implementation and effectiveness…
ectiveness of character education in the two education systems. The research method used is a literature study with a qualitative approach. Data was collected through reviewing curriculum documents, education policies, and scientific articles related to character education in Indonesia and Finland. The research results show that Finland integrates character education holistically in all aspects of learning, while Indonesia still tends to separate character education as a separate subject. Apart from that, Finland emphasizes the formation of values of independence, responsibility and collaboration through a student-centered approach, while Indonesia places more emphasis on religious values and nationalism. The implication of this research is the need to reorient the character education curriculum in Indonesia to better integrate character values in the entire learning process, as well as adopting best practices from Finland which have been proven effective in shaping students' character.
Abstract:Penelitian ini mengeksplorasi efektivitas Program Tapera dalam memenuhi kebutuhan perumahan bagi masyarakat berpenghasilan rendah di Indonesia. Dengan menggunakan pendekatan kualitatif, penelitian ini menggunakan metode…
studi kasus untuk menganalisis dampak program dan implementasinya sebagai kebijakan publik. Pengumpulan data dilakukan dengan wawancara mendalam, observasi partisipatif, dan studi dokumentasi untuk memberikan pemahaman yang komprehensif mengenai manajemen dan hasil program.Studi ini menggunakan purposive sampling dengan teknik bola salju untuk memilih informan, termasuk administrator program, pembuat kebijakan, penerima manfaat berpenghasilan rendah, pejabat pemerintah daerah, dan lembaga keuangan. Analisis data mengikuti model interaktif, yang meliputi pengumpulan, reduksi, penyajian, dan penarikan kesimpulan data, dengan triangulasi yang digunakan untuk memastikan validitas dan reliabilitas. Temuan-temuan tersebut mengungkapkan bahwa meskipun Program Tapera telah membuat langkah signifikan dalam mendorong pemerataan dan keberlanjutan perumahan, masih ada tantangan dalam hal keterjangkauan, kesenjangan antar wilayah, dan transparansi. Isu-isu ini menyoroti perlunya reformasi strategis, seperti mekanisme keuangan yang lebih baik, perluasan jangkauan, dan peningkatan tata kelola.Penelitian ini menyimpulkan bahwa Program Tapera memiliki potensi untuk secara signifikan mengurangi ketimpangan perumahan dan mendorong kesetaraan sosial, asalkan tantangan-tantangan utama dapat diatasi melalui inovasi dan kolaborasi.Penelitian ini berkontribusi pada wacana evaluasi kebijakan publik, dengan menawarkan rekomendasi praktis untuk meningkatkan aksesibilitas perumahan bagi masyarakat berpenghasilan rendah.
Abstract:Tiakur City, the capital of Southwest Maluku Regency, has undergone significant physical development between 2015 and 2025, driven by population growth and economic activities. This study employs a quantitative approach…
using remote sensing technology with PlanetScope satellite imagery to analyze land cover changes. The analysis reveals an increase in built-up land area from 171.29 hectares (7.31%) in 2015 to 395.66 hectares (16.89%) in 2025, while non-built-up land experienced a decline. These findings indicate a rapid development rate and highlight the importance of sustainable spatial planning. In conclusion, understanding the patterns and intensity of land cover changes in Tiakur City is crucial for evaluating spatial planning policies and improving infrastructure development planning for the future.