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PELATIHAN: METODE VALUE PROPOSITION DALAM UPAYA MENJAGA KEBERLANGSUNGAN BISNIS HOME INDUSTRY DI CIKAMPEK Edi Susanto; Hari Adianto; Arief Irfan Syah Tjaja; Ghifari Hamzah; Rara Massayu Sabila Salma Susanto
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 5, No 2 (2022): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v5i2.463-472

Abstract

This activity provides an understanding of the value proposition (VP) method to 13 home industry players in Cikampek. The training is performed comprehensively with a value proposition approach, as a business continuity effort, where the actors in this partner are facing problems with the impact of the pandemic; business difficulties, lack of knowledge and innovation in managing, lack of understanding of capital and finance. The training needs performed the materials needed for this home industry business, such as; business management and innovation, financial report preparation, and value proposition approach strategy, which includes 8 elements; product design, raw materials, packaging, features, process, distribution, service, price. The methodology used is blended learning, namely offline and online, due to the current pandemic situation, offline participants are limited to only 5 people with strict health protocol rules (wearing masks, hand sanitizer, checking temperature, washing hands, and towels), the rest is online. via zoom meeting. Evaluation of this training is performed by conducting a pretest before the event starts and a post-test at the end of the activity after the assignment. The evaluation results from this training were declared successful because each participant was judged to be able to understand the material delivered with the average overall assessment result meeting the success standards set with good results.  
WORKSHOP ONLINE: METODE SYSTEMATIC LITERATURE RIVIEW SEBAGAI ALTERNATIF KARYA ILMIAH AKHIR BAGI MAHASISWA DAN DOSEN DI MASA PANDEMI COVID-19 Edi Susanto; Arief Irfan Syah Tjaja; Hari Adianto; Ghifari Hamzah; Rispianda Rispianda
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 4, No 1 (2021): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v4i1.246-257

Abstract

The aim of community service (PKM) is to provide alternative solutions for final year students and lecturers at PKM partners, by introducing systematic literature review (SLR) research methods for final scientific works through online workshop amid the impact of the Covid-19 pandemic. With strict social distancing rules and a work from home (WFH) policy that limits/experiences difficulties in making student theses to conduct field research. Problems that exist with partners also have an impact on delays in final scientific works preparation, while the preparation of final scientific papers is an obligation as a requirement for graduation, other things also have an economic impact due to the spread of layoffs for students' families/ guardians, and business activities are also not easy with the PSBB regulation from the government through a circular, with restrictions on offline learning activities/ data collection in the field. Meanwhile, PKM partners also do not know the SLR method, so it is necessary to have an SLR method workshop as an alternative solution for conducting research using secondary data so that the research method policy can be an alternative solution. The evaluation of PKM activities is carried out with a pre-test at the beginning and a post-test at the end of the workshop. Evaluation results of participants on average increased from the previous 49 to 82 or an increase of about 59%. This means that, in general, this training was successful because it exceeded the indicator requirements, namely an average score of >75.
Penyelesaian Multiple Trip Heterogeneous Fix Fleet Vehicle Routing Problem (MTHFFVRP) Menggunakan Algoritma Sweep untuk Mendapatkan Optimasi Rute Distribusi LPG 3 kg di PT. Gending Gemilang Arief Irfan Syah Tjaja; Farisin Saiful
Rekayasa Hijau : Jurnal Teknologi Ramah Lingkungan Vol 5, No 2 (2021)
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/jrh.v5i2.150-164

Abstract

ABSTRAKDistibusi merupakan suatu kegiatan menyalurkan produk dari satu tempat ke tempat lainnya. PT. Gending Gemilang merupakan suatu perusahaan yang bergerak dibidang distributor Liquefied Petroleum Gas (LPG) 3 kg, setiap harinya perusahaan diharuskan untuk memenuhi permintaan ke 29 pangkalan yang dimiliki perusahaan. Perusahaan memiliki 2 jenis armada yaitu truk sebanyak 4 unit dan L300 sebanyak 3 unit dengan kapasitas setiap jenis armada berbeda beda dan setiap pangkalan memiliki alamat yang berbeda sehingga permasalahan penentuan rute masuk kedalam Multiple Trips Heterogeneous Fix Fleet Routing Problem (MTHFFVRP). Salah satu penentuan rute yang mampu meminimumkan ongkos pengirimanan adalah dengan menggunakan algoritma sweep, algoritma ini bekerja dengan cara melakukan proses clustering berdasarkan urutan sudut polar setiap pangkalan, pada penelitian ini jenis algoritma sweep yang digunakan adalah backward sweep sehingga untuk pembuatan cluster dimulai dari pangkalan yang memiliki sudut polar terbesar menuju pangkalan yang memliki sudut polar terkecil. Dari hasil penelitian menunjukan pembuatan rute menggunakan algoritma sweep mampu melakukan penghematan secara signifikan terhadap rute perusahaan saat iniKata kunci: Distribusi, Vehicle Routing Problem, Multiple Trips Heterogenous Fix Fleet Routing Problem (MTHFFVRP),  Algoritma sweep ABSTRACTDistribution is an activity to distribute products from one place to another. PT. Gending Gemilang is a company engaged in the distribution of 3 kg of liquefied petroleum gas or it can be called (LPG) 3 kg, every day the company is required to fulfill requests from 29 bases owned by the company. The company has 2 types of fleets, namely 4 unit trucks and 3 unit L300  with different capacities for each type of fleet and each base has a different address so that the problem of determining routes enters the Multiple Trips Heterogeneous Fix Fleet Routing Problem (MTHFFVRP). Determination to minimize the shipping cost of the route used is the sweep algorithm, this algorithm works to carry out the clustering process based on the order of the polar angles of each base, in this study the type of sweep algorithm used is backward sweep so that clustering starts from the base with the largest polar angle towards the base that has the smallest polar angle. The research results show that route creation using the sweep algorithm is able to make significant savings on current company routesKeywords: Distribution; Vehicle Routing Problem; Multiple Trips Heterogenous Fix Fleet Routing Problem (MTHFFVRP); Sweep Algorithm