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All Journal Jurnal Transportasi Dinasti International Journal of Digital Business Management Journal Public Health and Clinical Science
Dian Kurniawati
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Decision Sciences, Operations Research & Management Dentistry Health Professions Medicine & Pharmacology Neuroscience Nursing Public Health Transportation Veterinary

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PENENTUAN RUTE PENDISTRIBUSIAN GAS LPG DENGAN METODE ALGORITMA NEAREST NEIGHBOUR Dian Kurniawati; Agus Riyanto; Nurul Hidayati; Alfia Magfirona
Jurnal Transportasi Vol. 17 No. 1 (2017)
Publisher : Forum Studi Transportasi antar Perguruan Tinggi (FSTPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1111.944 KB) | DOI: 10.26593/jtrans.v17i1.2706.%p

Abstract

Abstract This article is focused on the comparison of the characteristics of route service between the existing conditions and the results of the Nearest Neighbour Method. The parameters used to compare consist of total distance and total travel time used in the distribution of the LPG gas cylinders. To answer the problems associated with the Nearest Neighbour Method, the initial data should be prepared are distance matrix, and savings matrix. The results were obtained: Total distance distribution of the existing condition is 2,071.2 km with a total travel time of 66 hours 6 minutes. The values are different from the Nearest Neighbour Method calculation, in which a total distance of 1,483.6 km of distribution obtained with a total travel time of 59 hours 49 minutes. Based on these results, it can be concluded that the Nearest Neighbour Method produces a better route characteristic. Keywords: Nearest Neighbour Method, route service, distance distribution, travel time       Abstrak Artikel ini difokuskan pada perbandingan karakteristik layanan rute antara kondisi eksisting dan hasil analisis menggunakan Metode Nearest Neighbour. Parameter yang digunakan untuk membandingkan terdiri atas jarak total dan total waktu perjalanan yang digunakan dalam distribusi tabung gas LPG. Untuk menjawab masalah yang terkait dengan Metode Nearest Neighbour, data awal yang harus disiapkan adalah matriks jarak dan tabungan matriks. Hasil yang diperoleh: Jumlah distribusi jarak kondisi yang ada adalah 2.071,2 km dengan total waktu tempuh 66 jam 6 menit. Nilai-nilai yang berbeda dari perhitungan Metode Nearest Neighbour, ketika total jarak 1.483,6 km dari distribusi diperoleh dengan total waktu tempuh 59 jam 49 menit. Berdasarkan hasil tersebut, dapat dinyatakan bahwa Metode Nearest Neighbour menghasilkan karakteristik rute yang lebih baik. Kata-kata kunci: Nearest Neighbour Method, layanan rute, distribusi jarak, waktu tempuh            
EFFECT OF SUSTAINABILITY REPORT ON MANUFACTURING SECTOR FIRM VALUE WITH PROFITABILITY AS A MODERATION VARIABLE Dian Kurniawati; Esti Riwayati, Hedwigis; Akhmad Firdaus
Dinasti International Journal of Digital Business Management Vol. 3 No. 5 (2022): Dinasti International Journal of Digital Business Management (August - Septembe
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijdbm.v3i5.1370

Abstract

This study aimed to obtain empirical evidence of the effect of sustainability report disclosure on firm value and the effect of sustainability report on firm value with profitability as a moderating variable. This study investigates the relevance of sustainability report disclosure in manufacturing sector companies listed on the Indonesia Stock Exchange for the period 2016-2020. Data were collected from 11 manufacturing sector companies that met the predetermined sample criteria. The results of this study empirically prove that sustainability report disclosure affect firm value and profitability strengthening the positive effect of the sustainability report on firm value.
The Relationship Between Family Support and the Success of Early Breastfeeding Initiation (Ebi) at Teungku Peukan Regency General Hospital Southwest Aceh Eka Susanti; Anggia Murni; Cut Nyak Yulia; Elly Febrianty; Dian Kurniawati
Journal Public Health and Clinical Science Vol. 2 No. 1 (2026): Journal Public Health and Clinical Science
Publisher : Athallah Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64845/clinergy.v2i1.329

Abstract

Early Breastfeeding Initiation (EBI) is one of the important efforts in improving the health of newborns. EBI provides benefits in increasing the success of breastfeeding and strengthening the bond between mother and baby. However, the implementation of EBI is still not optimal. One of the factors that affect the success of EBI is family support, both in emotional, informational, and instrumental forms. To determine the relationship between family support and the success of Early Breastfeeding Initiation (EBI) at Teungku Peukan General Hospital, Southwest Aceh Regency in 2026. This study is an analytical research with a cross-sectional approach. The population in this study is all maternity mothers at Teungku Peukan General Hospital as many as 62 people. The sampling technique used a total sampling with a sample of 62 respondents. Data collection was carried out using questionnaires and observation sheets. Data analysis used the Chi-Square test with a 95% confidence level (α = 0.05). The results showed that most of the respondents received family support, namely 38 people (61.3%) and more than half of the respondents successfully implemented EBI, namely 35 people (56.5%). The results of the statistical test obtained a p-value = 0.004 (p < 0.05) which showed a significant relationship between family support and EBI success. Conclusion: Based on the results of the study, it can be concluded that there is a significant relationship between family support and the success of Early Breastfeeding Initiation (EBI) at Teungku Peukan General Hospital, Southwest Aceh Regency in 2026. It is hoped that health workers can improve education not only to mothers but also to families in order to provide optimal support in the implementation of EBI.
Co-Authors AGUS RIYANTO Akhmad Firdaus Alfia Magfirona Anggia Murni Cut Nyak Yulia Eka susanti Elly Febrianty Hedwigis Esti Riwayati Nurul Hidayati