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All Journal Coopetition : Jurnal Ilmiah Manajemen Flourishing Journal Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Muhammad Aditya Pratama
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Social Sciences Other

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Formulasi Strategi Menggunakan Bisnis Model Canvas Sugiyanto; Muhammad Aditya Pratama; Endang Wahyuningsih
Coopetition : Jurnal Ilmiah Manajemen Vol 12 No 1 (2021): Coopetition: Jurnal Ilmiah Manajemen
Publisher : Program Studi Magister Manajemen, Institut Manajemen Koperasi Indonesia

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Abstract

The fashion industry plays an important role in the growth of the national creative industry which absorbs a lot of employment. Business actors selected as samples of this study were 4 distribution stores (Distros), located on Jl Padjadjaran, Bandung. Increasingly fierce competition is a major problem, marked by declining income and profitability. The purpose of this research is to formulate a distribution business strategy using SWOT analysis and BMC. Qualitative and quantitative descriptive research approaches were used in this study. Qualitative research to identify the factors of strengths, weaknesses, opportunities and threats. The results of the study found several factors from the elements of the SWOT analysis, as a basis for conducting quantitative analysis, which resulted in an aggressive strategy that had to be developed. Based on this strategy it is formulated in the form of a business model canvas. The distros business needs to be developed more aggressively in terms of Customer Segment, value proposition, channels, and customer relationships so that company revenue can increase. Companies also need to emphasize the development of the aspects of key business activities, key partners and the effectiveness of utilizing key resources so that the company can carry out cost efficiency. The finding of this study is that BMC can be used to describe briefly but completely as an effort to formulate a strategy for the results of SWOT analysis.
Pengaruh Dukungan Sosial terhadap Resiliensi Remaja Putus Sekolah di Kota Makassar Muhammad Aditya Pratama; Muh. Nur Hidayat Nurdin; Nur Akmal; Eva Meizara Puspita Dewi
Flourishing Journal Vol. 3 No. 10 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um070v3i102023p434-440

Abstract

Resilience is important for out-of-school adolescents so that they can make them able to bounce back from the problems faced after dropping out of school. One factor that can increase the resilience ability of out-of-school adolescents is social support. This study aimed to determine the effect of social support on the resilience of out-of-school adolescents. The sampling technique in this study used Snowball Sampling with a total of 228 subjects. The measuring instrument used is the Social Support Scale, with a reliability value of 0.827. The resilience Scale was used to measure the level of resilience in this study with a reliability value of measuring instruments of 0.928. This study used a simple linear regression analysis technique, which showed the study results that there was an effect of social support on resilience with a significance value of 0.000 (p < 0.05). The impact of the independent variable on the variable is tied to the value of R = 0.490, which shows a positive value, and, the results of R Square in this study are R2 = 0.240, which means that social support has an influence of 24% on resilience with weak categories. AbstrakPentingnya kemampuan resiliensi dipunyai oleh remaja putus sekolah sehingga mampu membuat remaja putus sekolah dapat bangkit kembali dari permasalahan yang dihadapi pasca putus sekolah. Salah satu faktor yang mampu meningkatkan kemampuan resiliensi remaja putus sekolah ialah dukungan sosial. Kajian ini bertujuan untuk melihat dampak dukungan sosial pada resiliensi remaja putus sekolah. Metode penghimpunan sampel pada kajiaan ini menerapkan teknik Snowball Sampling pada jumlah subjek yakni 228 orang. Alat ukur yang digunakan adalah Social Support Scale dalam mengukur dukungan sosial dengan nilai reliabilitas alat ukur yakni 0,827. Skala Resiliensi untuk mengukur tingkat resiliensi dalam penelitian ini dengan nilai reliabilitas alat ukur sebesar 0,928. Kajian ini menerapkan metode analisa regresi linear sederhana yang menunjukkan hasil kajian pada dampak dukungan sosial pada resiliensi dengan nilai signifikansi sebesar 0,000 (p < 0,05). Dampak variabel bebas pada variabel terikat pada nilai R= 0,490 yang menunjukkan nilai positif serta, hasil R Square dalam penelitian ini sebesar R2 = 0, 240 yang artinya dukungan sosial memiiki dampak yakni 24% terhadap resiliensi dengan kategori lemah.
Analisis Sistem Pendukung Keputusan Menggunakan Algoritma AHP Dan Topsis Untuk Menentukan Mahasiswa Lulusan Terbaik Mukminatul Munawaroh; Hamada Zein; Fajri Harits Muzaki; Febri Ananda Chairi; Lidya Sari; Bobi Zinaidin Zidan; Muhammad Aditya Pratama; Novia Hidayati Ramadhani; Reyka Luna Karalo; Ririn Wahyuni
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 1 (2024): Januari : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i1.37

Abstract

This research examines the application of the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods in determining the best graduate students in the Ners Professional Study Program at Muhammadiyah University of East Kalimantan. The third step of the AHP method involves converting the values in the pairwise comparison matrix to decimal form, which is then normalized to calculate the priority weight of each criterion and sub-criteria. Next, checking the logic of the criteria and designing AHP-TOPSIS for ranking were carried out. The analysis showed that AHP resulted in 5 ranking changes with a percentage change of 4.4%, while TOPSIS resulted in 3 ranking changes with a percentage change of 3.9%. From these results, the AHP-TOPSIS method proved to have an accuracy of 83.00%. This article also presents a comparison between AHP, TOPSIS, and AHP-TOPSIS methods, where the best student selected is Dinda Ayu Framaisella. This research provides practical guidance for decision makers in solving multi-criteria problems and contributes to the selection of the best graduate students with a comprehensive and accurate approach.
Co-Authors Bobi Zinaidin Zidan Endang Wahyuningsih Eva Meizara Puspita Dewi Fajri Harits Muzaki Febri Ananda Chairi Hamada Zein Lidya Sari Muh. Nur Hidayat Nurdin Mukminatul Munawaroh Novia Hidayati Ramadhani Nur Akmal Reyka Luna Karalo Ririn Wahyuni SUGIYANTO