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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Perwira Journal of Science and Engineering (PJSE)
Rifki Chandra Utama
Institut Teknologi dan Bisnis Muhammadiyah Purbalingga
Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Mathematics Social Sciences

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CLUSTERIZATION OF DISTRICTS AND CITIES IN JAMBI PROVINCE BASED ON PUBLIC HEALTH INDICATORS USING THE K-MEANS METHOD Nayla Desviona; Marwah Masruroh; Rifki Chandra Utama
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 2 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i2.857

Abstract

Health is an important foundation for Indonesia, and public health is critical to improving the quality of human resources, overcoming poverty, and supporting development. In 2022, the morbidity rate in Jambi Province reached 12.11%, higher than the previous year which was only 7.16%. The morbidity rate of the people of Jambi Province in 2022 increased by around 5% compared to last year. Based on the data on the morbidity rate of the people of Jambi Province above, it can be seen that the health condition of the people of Jambi Province has decreased compared to the previous year. By using the k-means method, this study aims to group the districts and cities of Jambi Province based on their health indicators as an effort to prevent a decline in health status in the coming years. As an effort to set priorities in improving public health in Jambi Province. The research resulted in three health clusters based on health indicator data. Cluster 1, which contains Sungai Penuh City, is at a high level, meaning that health conditions in the city are very good compared to other cities. Cluster 2, which consists of West Tanjung Jabung Regency and Jambi City, is at a medium level, meaning that health conditions in this city are quite good compared to other cities. Cluster 3 Kerinci, Merangin, Sarolangun, Batanghari, East Tanjung Jabung, Tebo, and Bungo are at the lowest level, meaning that health conditions in this cluster are poor and require more attention.
SISTEM GRADING OTOMATIS BERBASIS COMPUTER VISION DENGAN YOLO UNTUK KLASIFIKASI KUALITAS TOMAT PASCAPANEN DI PURBALINGGA Riyan Dwi Yulian Prakoso; Rifki Chandra Utama; Adin Nadiya Ifati; Sriyati Sriyati
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7130

Abstract

Abstrak: Proses grading pascapanen tomat di Kabupaten Purbalingga umumnya masih dilakukan secara manual, sehingga rentan terhadap subjektivitas dan inkonsistensi mutu. Kondisi ini menyebabkan produk sulit dikategorikan ke dalam standar kualitas ekspor dan memicu risiko penolakan pasar. Penelitian ini bertujuan untuk mengembangkan dan menguji sistem cerdas berbasis computer vision menggunakan arsitektur YOLO guna melakukan klasifikasi dan pemilahan (grading) tomat secara otomatis. Metodologi penelitian mencakup pengumpulan dataset lokal tomat Purbalingga yang dibagi menjadi tiga kelas (matang tanpa cacat, rusak, dan mentah), pelatihan model, serta pengujian performa sistem secara empiris. Hasil pengujian menunjukkan kinerja model yang sangat baik dengan tingkat presisi mencapai 97,6% dan recall sebesar 95,7%. Hasil ini membuktikan bahwa model YOLO mampu mengidentifikasi mutu tomat secara akurat dan cepat. Sistem ini berpotensi besar untuk diintegrasikan ke dalam perangkat sortasi otomatis maupun platform digital di masa mendatang, guna meningkatkan efisiensi pascapanen, menjaga standarisasi mutu ekspor, serta memperkuat daya saing komoditas hortikultura di Kabupaten Purbalingga.
EUROPEAN PUT OPTION PRICING MODEL WITH GRAM-CHARLIER EXPANSION IN THIRD MOMENTS Rifki Chandra Utama; Afra Maulia Fitriana Hilnie; Wiwit Angga Siswahyudi
Perwira Journal of Science & Engineering Vol 2 No 1 (2022)
Publisher : Universitas Perwira Purbalingga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54199/pjse.v2i1.118

Abstract

The Black-Scholes model is one of the most popular and widely applied option pricing models in both academic and practical contexts developed by Black and Scholes (1973). The practical assumption in the Black-Scholes model is stock return following the normal distribution with constant volatility. However, many stock returns are not normally distributed, so should consider the skewness and kurtosis of the stock return. This developmental model adapts the Gram-Charlier expansion to adapt skewness and kurtosis to the Black-Scholes formula. Approximation method used is an alternative approach with Hermite polynomial. The observed stocks are SPG, C, and AXP by taking stock price data from November 11, 2016 to November 11, 2017 with maturity date at January 18, 2019 and interest rate (r) of 1,25%. After comparing the average MSE of both models, found that the third moment Gram-Charlier expansion is better than the Black-Scholes model in modeling SPG, C, and TSLA stock prices
Co-Authors Adin Nadiya Ifati Afra Maulia Fitriana Hilnie Marwah Masruroh Nayla Desviona Riyan Dwi Yulian Prakoso Sriyati Sriyati Wiwit Angga Siswahyudi