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All Journal JoDENS: Journal of Digital Ecosystem for Natural Sustainability Scientific literacy Innovation and Technology Journal
Kurniawan Hamidi
Universitas Universal
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering

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Perbaikan Kualitas Pembatikan pada CNC Batik Tulis Rotary Bed Menggunakan Metode Taguchi Kurniawan Hamidi; Muh. Arif Wibisono
Journal of Digital Ecosystem for Natural Sustainability Vol 3 No 1 (2023): Juli 2023
Publisher : Fakultas Komputer - Universitas Universal

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Abstract

The nglowongi process is one part of the batik process, which is making patterns on mori. As technology develops, this process is replaced by machines that apply CNC technology, namely the CNC rotary bed. In its implementation, obstacles were found such as failure to form motifs that have perfect angles on the fabric. There are many possible factors that cause the failure, but the authors focus on the limiting factors on the speed and acceleration of the stepper motor movement and the design angle of the motif. The purpose of this research is to optimize the input setup (speed and acceleration) on GRBL during the process of making angular motifs on batik cloth. The method used is the Taguchi method and two way-ANOVA. The results of this study indicate that the optimal combination of motif design angle, speed and acceleration is 91°-180°, 833.33 mm/s or 500 mm/min respectively and the input acceleration is 4000 mm/s2
Analisa Komparatif Model dari Sistem Supermarket Menggunakan Flexim Lioni Limardi; Kenny; Kellyn F Carolline; Kurniawan Hamidi; Handi Wilujeng Nugroho
Scientific Literacy Innovation and Technology Journal Vol 1 No 01 (2024): January 2024
Publisher : Scientific Literacy Innovation and Technology Journal

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Simulation plays a crucial role in increasing customer satisfaction and strengthening long-term relationships. Focusing on speed and convenience of service, as well as efficient management is essential in business strategy. Understanding customer characteristics and applying technology supports service efficiency. The method in this research is observation, where the results of the observation become the basis for analysis and decision making. This research aims to compare simulation methods between existing models using Arena and alternatives using Flexim. Based on the results of the t-test, with the hypothesis of testing the significance of the differences between the two models. Based on t-alpha analysis and t-test statistical tests on data processing using the data analysis feature in Ms. Excel, it was found that the critical limit for a 2-sided acceptance chart is +-0.9861. The t-test result of 0.9814 is in the acceptance area, supporting the statistical sustainability of the model with the observation results. Thus, it can be concluded that the data can accept Ho and the system is considered valid. The recapitulation shows that service 3 in Alternative 1 has the highest sales, but with a longer stay time. Alternative 1 on service 1 has the fastest stay time. The existing model has an even distribution without distinguishing the number of goods purchased. The result of using the existing model with the arena is replication in the range 60-769 seconds with the number of queues in the range 77-409 seconds. Meanwhile, using flexsim on the existing model gets a queue time on 10 replication models of around 66-70 seconds. Based on the results of observation data, it shows that the queue time range is 112-115 seconds. Therefore, flexsim data is also considered invalid because the time span is quite different. So, it can be concluded that the existing service and queue models are good.
Prediksi Probabilitas Tren Penurunan Jumlah Penduduk Miskin di Indonesia Jesen Jesen; Tri Susanti Marsito Purba; Hamidi Kurniawan
Scientific Literacy Innovation and Technology Journal Vol 1 No 02 (2024): Mei 2024
Publisher : Scientific Literacy Innovation and Technology Journal

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Salah satu tujuan pembangunan berkelanjutan (SDGs) adalah peningkatanpertumbuhan ekonomi yang inklusif dan berkelanjutan, serta layak danpeluang kerja yang komprehensif bagi seluruh anggota masyarakat. Pertumbuhan ekonomi produktif suatu daerah dapat dievaluasiberdasarkan tingkat kemiskinan setiap tahun di wilayah tertentu. Penelitian inibertujuan untuk menentukan tren probabilitas jangka panjang mengenaiangka kemiskinan di Indonesia berdasarkan data tahun 2012 hingga tahun 2023. TheMetode yang digunakan dalam penelitian ini adalah Discrete Time Markov Chain (DTMC).Berdasarkan analisis dengan menggunakan pendekatan tersebut, diketahui bahwaKemungkinan penurunan tingkat kemiskinan di Indonesia dalam jangka panjang adalah0,697, dan sebaliknya, probabilitas peningkatan kemiskinanangka di Indonesia adalah 0,303. Oleh karena itu, dapat dikatakan bahwakemungkinan penurunan jumlah penduduk miskin di masa depan adalah69,7%.
Penerapan Discrete Time Markov Chain pada Studi Kasus Populasi Penduduk di Jepang Joni Chandra; Jimmy Auryan Zen; Adrian Leonardus Joviyanto Saragi; Hamidi Kurniawan
Scientific Literacy Innovation and Technology Journal Vol 1 No 02 (2024): Mei 2024
Publisher : Scientific Literacy Innovation and Technology Journal

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Masalah kependudukan di Jepang dianggap sebagai masalah yang mendesak karena rendahnya angka kelahiran, tingginya peningkatan angka harapan hidup, banyaknya migrasi, dan tingginya biaya hidup. Pemerintah Jepang telah melakukan berbagai upaya untuk mengatasi masalah ini. Dalam upaya tersebut, diperlukan model prediktif yang dapat terus diperbarui dengan menggunakan data berurutan untuk mengetahui kemungkinan penurunan atau peningkatan populasi dalam periode tertentu. Penelitian ini berupaya mengidentifikasi arah tren, kemungkinan terjadinya tren, dan kemungkinan durasinya. Metode yang digunakan dalam penelitian ini adalah DTMC. Berdasarkan perhitungan dengan pendekatan ini, diperkirakan jumlah penduduk akan menurun dalam 17 tahun ke depan dengan probabilitas 0,773 dan meningkat dengan probabilitas 0,267, mengacu pada data historis tahunan jumlah penduduk Jepang dari tahun 2000 hingga 2022.
Co-Authors Adrian Leonardus Joviyanto Saragi Handi Wilujeng Nugroho Jesen Jesen Jimmy Auryan Zen Joni Chandra Kellyn F Carolline Kenny Lioni Limardi Muhammad Arif Wibisono, Muhammad Arif Tri Susanti Marsito Purba