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All Journal Jurnal Teknik Informatika (JUTIF) Miracle Journal Of Public Health (MJPH) Madani: Multidisciplinary Scientific Journal Agriculture and Socio-Economic Journal
Hidayat, Muh. Taufik
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Time Trend Analysis of Ambient Air Quality and Increased ISPA in Kendari City Hidayat, Muh. Taufik; Jayadipraja, Erwin Azizi; Asrullah, Muhammad; Astawa, Kadek Wiana
Miracle Journal of Public Health Vol 7 No 1 (2024): Miracle Journal of Public Health (MJPH)
Publisher : Universitas Mandala Waluya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36566/mjph.v7i1.365

Abstract

Acute Respiratory Infections (ARI) kill around 4 million people every year. Infants, children, and the elderly are most at risk. Each year, more than 2 million children under five years old die from ISPA. This research aims to describe the trend of ARI sufferers among toddlers in Kendari City for 2021-2023. The type and design of the research is descriptive. The population and sample (total sampling) are all toddlers suffering from ARI in Kendari City in 2021-2023, namely 23,508 toddlers. The research results show that the number of ARI cases in toddlers in Kendari City continues to increase every year. In 2021, it will be 24%; in 2022, it will be 36.2%; and in 2023, it will be 39.7%. During the 2021-2023 period, the number of male toddlers suffering from ARI was 52.7% greater than that of females, 47.2%. The number of ARI cases in the <1 year age group was 25.2%, and in the 1-<5 year age group was 74.7%. The health center with the highest number of ARI sufferers is the Puwatu Health Centre, with 15.5% of cases, and the lowest is the Jatiraya Health Centre, with 0.9% of cases. This research concludes that there is an increasing trend in the number of toddlers suffering from ARI in Kendari City for 2021-2023. Community health centers should provide education through posyandu activities regarding the dangers of ARI in toddlers and efforts to overcome them.
Analisis pendapatan UMKM abon ikan tuna di Kelurahan Lappa Nursinar, Nursinar; Rahmianti, Sri; Ramadani, Wahyu; Sari, Nur Amalia; Hidayat, Muh. Taufik; Astaman, Putra
Agriculture and Socio-Economic Journal Vol 1, No 3 (2024): November
Publisher : Lembaga Penelitian, Pengembangan, Pemberdayaan Potensi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61316/asej.v1i3.93

Abstract

Indonesian fishery products in processed and fresh form are increasingly in demand in domestic and foreign markets. But one of the obstacles that occurs in fresh fish is that it is easily spoiled. Therefore, people try to process fresh fish into a product to minimize these obstacles, one of which is processing it into shredded fish. UMKM Pandawa Lima in Lappa Village is a business or business engaged in the food sector, one of its products is shredded tuna. The purpose of this study is to analyze the income of the shredded tuna fish business in Lappa Village. The research method used is descriptive qualitative research method.  The analysis technique used is income analysis. The results showed that UMKM Pandawa Lima processed tuna fish into a product, namely shredded tuna fish and provided an income of Rp 1,968,000 in two production processes for one month.
Impact Analysis of Sister Province Cooperation Between the Government of South Sulawesi Province (Indonesia) and Ehime Prefecture (Japan) Hidayat, Muh. Taufik; Suhafid, Muh. Zulhamdi
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 1 (2025): February
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14709855

Abstract

This research aims to analyze the impact of cooperation between the South Sulawesi government and Ehime Prefecture within the Sister Province framework. The approach used in this article is paradiplomacy and sister province. By using qualitative research methods with a literature study approach. The results showed that since the signing of the MoU, sister province cooperation between the South Sulawesi government and Ehime Prefecture has not been effective and massive in its application. The application carried out is by sending 10 people from South Sulawesi to Ehime Japan to conduct training in tuna fish technology management. In addition, in 2021, the Ehime government provided grant assistance to the South Sulawesi government in the form of ambulances and fire fighting vehicles. However, behind the positives, the cooperation between the two provinces experienced several obstacles, namely first, the replacement of Mr. Nurdin Abdullah as Governor of South Sulawesi which caused communication and interaction to not run smoothly. Second, there was overlapping coordination between South Sulawesi government institutions. Third, facing the Covid 19 pandemic, so that mobility activities are not going well.
CLASSIFICATION OF THE LEVEL OF SUGAR CONTENT IN PAPAYA FRUIT BASED ON COLOR FEATURES USING ARTIFICIAL NEURAL NETWORK Nurfitri, Andi Aisyah; Kaparang, Adam Indra; Hidayat, Muh. Taufik; Kaswar, Andi Baso; Andayani, Dyah Darma
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 6 (2023): JUTIF Volume 4, Number 6, Desember 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.6.733

Abstract

Papaya (Carica papaya L) is consumed by many people because it is beneficial for health. Along with increasing consumption or enthusiasts of papaya, the quality of papaya needs to be considered. One of the determining factors of the quality of papaya is its physical characteristics, which can be seen from its color, shape, and texture. Papaya of good quality has a delicious and sweet taste. The sweet taste of papaya is certainly influenced by the sugar content contained in it. However, to determine the sugar content in papaya is only done by human assessment based on its physical characteristics, this assessment is often less accurate. With a system that can determine the sugar content in papaya, it will make it easier for farmers to sort papaya fruit. Therefore, in this study, it is proposed to classify the level of sugar content in papaya based on color features using an Artificial Neural Network. The proposed method consists of 5 stages, namely, image acquisition, preprocessing, segmentation with the Otsu method, morphological operations, and classification with artificial neural networks. The number of papaya datasets used is 300 images which are divided into 3 classes, low class, medium class, and tal class. Based on the results of the tests that have been carried out, an accuracy of 92.85% is obtained for the training data, and for the test data, an accuracy of 100% is obtained. These results indicate that the proposed method can classify the level of sugar content in papaya fruit accurately.
Co-Authors Andi Baso Kaswar Andi Baso Kaswar Astawa, Kadek Wiana Erwin Azizi Jayadipraja, Erwin Azizi Kaparang, Adam Indra Muhammad Asrullah Nurfitri, Andi Aisyah Nursinar, Nursinar Putra Astaman Rahmianti, Sri Ramadani, Wahyu Sari, Nur Amalia Suhafid, Muh. Zulhamdi