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All Journal AGRISAINS REZ PUBLICA ACTIVE: Journal of Physical Education, Sport, Health and Recreation Jurnal Ilmu Teknik dan Komputer Algoritme Jurnal Mahasiswa Teknik Informatika
Dandy, Dandy
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health Social Sciences

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The comparison of the use of bread waste and milled corn as a source of energy in concentrate to the weight and percentage of external non-carcass components of female local goats Dandy, Dandy; Abdullah, Abdullah
AgriSains Vol 21, No 3 (2020)
Publisher : FAPETKAN UNTAD

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (17.935 KB)

Abstract

This study aims to determine the comparison of the use of bread waste and milled corn as a source of energy in concentrate to the weight and percentage of external non-carcass components of female local goats. This research was conducted from January 1 - April 23, 2020 at CV. Prima Breed, Tondo Village, Mantikulore District, Palu City, Central Sulawesi. The number of livestock used in this study was 12 female local goats aged ± 10 months with a weight range of      10-12 kg. The study used a two-treatment comparison test with t-test statistical analysis. The treatments in this study were: P1 = Giving concentrate with the basic ingredient of an energy source is milled corn + Panicum sarmentosum Roxburg (Roxb) ad-libitum and P2 = Provision of concentrate with the basic ingredient of energy sources is bread waste + Panicum sarmentosum Roxburg (Roxb) ad-libitum . The results of the t-test statistical analysis showed that the provision of concentrate + bread waste + milled corn gave a significant difference to the percentage of the external non-carcass components of local goats, while the provision of concentrate + bread and the provision of concentrate + ground corn did not give a significant difference to the weight of the non-carcass components external local goats.
PENERAPAN FUNGSI MANAJEMEN PADA PENGELOLAAN BUMDES AWARAPIA MAINAWA DALAM MENGEMBANGKAN EKONOMI MASYARAKAT DESA (Studi Kasus Desa Laburunci Kecamatan Pasarwajo Kabupaten Buton) Dandy, Dandy; Justawan, Justawan; Sartono, Sartono
REZ PUBLICA Vol 6, No 1 (2020): March - May
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/rzp.v6i1.13583

Abstract

This study aims to determine wether the application of management functions in BUMDes Awarapia Mainawa can improve the economy of rural communities, especially community users of village BUMDes funds in Laburunci Village, Pasarwajo Sub-District, of Buton Regency. The informant of the study was the village BUMDes Manager and a portion of the Laburunci village community of 5 people. In analyzing research data using qualitative descriptive methods, only describes the results of interview questions while in the field. Based on research, result obtained an increase in the community’s economy only occurs in the use of BUMDes Funds in the field of veil and uniform convection business and clean water treatment Laburunci Village, but in the field of craft business brooch there has been no increase in its economy. For that the authors suggest to users of BUMDes Fnds must maintain economic improvement and develop the results of the their business and be careful in using the funds obtained. The BUMDes Manager must control and at the same time provide a better view of the BUMDes fund user.
MANAGING STRESS AND EMOTION IN PENCAK SILAT ATHLETES dandy, Dandy; Jalil, Rasyidah; Kahar, Irsan
ACTIVE: Journal of Physical Education, Sport, Health and Recreation Vol 11 No 3 (2022)
Publisher : Department of Physical Education, Sport, Health and Recreation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/active.v11i3.61740

Abstract

The research is based on the importance of mental toughness in the achievement of martial arts athletes. The function of mental toughness and emotional control is to maintain performance in the face of adversity. This study aims to find (1) a description of the emotional and stress training model for pencak silat martial arts athletes (2) a description of emotional processing and its impact on the success of pencak silat martial arts athletes, and (3) a description of the operational model of emotional and stress control in pencak silat martial arts athletes. . The sample in this study were the pencak silat athletes from the city of Palopo. The method used in data collection is qualitative. The research subjects were 7 informants consisting of 2 coaches and 5 athletes. The sample criteria that must be met are as follows: (1) parents living in the same house as athletes (2) male and female (3) athletes aged 18 – 22 years. Results of this study Based on the description of the results of the study, overall the martial arts athletes in this study showed quite good attitudes and behavior, seen from their self-confidence, stress management and good emotions. The description states that the emotional aspect as central to one's life needs important attention by coaches and parents, so that a comprehensive understanding of the development of children's emotional stimulation is needed.
PeduliLindungi Website Analysis using SYSTEM USABILITY SCALE (SUS) Rasmila, Rasmila; Dandy, Dandy; Nufus, Rahmatin; Tamimi, Raisya Aqilla Putri
Jurnal Ilmu Teknik dan Komputer Vol 6, No 2 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jitkom.v6i2.008

Abstract

Covid 19 adalah sebuah virus yang menjadi pandemi di 2 tahun belakangan. Penyakit yang disebabkan oleh virus dari golongan coronavirus, yaitu SARS-COV-2 ini memang senter diperbincangkan sejak akhir 2019. Meskipun sekarang penyakit menular antaramanusia ini telah mengalami penurunan namun tetap saja masih harus tetap waspada. Perilisan website PeduliLindungi menjadi salah satu upaya pemerintah untuk menurukan tingkat penyebaran Covid 19 di Indonesia.  Pengujian System Usabily (SUS) akan dilakukan pada website PeduliLindungi untuk mengetahui seberapa layak aplikasi tersebut pada masyarakat. Pengujian akan dilakukan menggunakan metodelogi penelitian waterfall dengan survey kepada masyarakat secara acak, pertanyaan diberikan secara online melalui google form dan dibagikan melalui media online pada siswa, mahasiswa, dan para pekerja. Survey dilakukan dalam 1 hari dan didapat 20 orang responden, pengujian System Usability Scale (SUS) pada website PeduliLindungi ini didapatkannya nilai yang cukup memuaskan namun tidak sebagus yang dibayangkan. Penelitian SUS ini diharapkan dapat menjadi penambah wawasan serta acuan dalam penelitian serupa hingga diketahui bahwa website tersebut masih harus diperbaiki.
Implementasi Algoritma K-Nearest Neighbor untuk Klasifikasi Cuaca Dandy, Dandy; Udjulawa, Daniel; Yohannes, Yohannes
Jurnal Algoritme Vol 4 No 1 (2023): Oktober 2023 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v4i1.4932

Abstract

Weather is a brief natural event concerning the atmospheric conditions that take place on Earth which are determined by pressure, wind speed, temperature, and air phenomena. This study classifies 3 weather classes, namely sunny, cloudy, and rainy using the K-Nearest Neighbor algorithm as a weather classification algorithm with K value parameters of 3, 5, 7, and 9. Weather dataset 96.453 data to be examined is data taken from the Kaggle website. The dataset is divided into training data and test data with a ratio of 80:20. The implementation of the K-Nearest Neighbor algorithm produces a confusion matrix and classification report where in the confusion matrix, the largest number of correctly predicted data is at the value K = 9, namely 13.132 correctly predicted data with the largest number of correctly predicted data in the cloudy class, namely 10.865 data. As for the classification report, the highest accuracy value for both the cloudy, rainy, and sunny weather classes is at K = 9, which is 68.073%, and the highest precision, recall, and f1-score values are found in the cloudy class at K = 9, respectively contributed 72.095%, 89.288%, and 79.775%.
Co-Authors Daniel Udjulawa Justawan, Justawan Kahar, Irsan Nufus, Rahmatin Purwoko, Agus Rasmila, Rasmila Rasyidah Jalil Sartono Sartono, Sartono Tamimi, Raisya Aqilla Putri Yohannes Yohannes