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Contact Name
Hastuti Diah Ikawati
Contact Email
hastutiikawati@gmail.com
Phone
+62817259116
Journal Mail Official
mandalikaindo@gmail.com
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Alamat: Jalan Candi Pawon No. 7, Getap Barata, Kel. Cakranegara Selatan Baru, Kec. Cakranegara, Kota Mataram, NTB. 83238 Indonesia
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INDONESIA
JOURNAL SCIENTIFIC OF MANDALIKA (JSM)
ISSN : -     EISSN : 27455955     DOI : -
This journal is a means of scientific publication to develop knowledge and information. This journal specifically contains the results of research carried out in all scientific fields. Apart from publishing research results, this journal also accepts manuscripts from literature reviews and other reports for publication. This journal is published every month since August 2020.
Articles 663 Documents
Ekosistem Kewirausahaan Sebagai Basis Kebijakan Penguatan UMKM di Kabupaten Majene: Sebuah Analisis Kesenjangan Struktural Hendrawan, Hendrawan; Dewi Nuraliah; Achmad Fauzi Kusmin; Rahmatullah; Muhammad Syihabuddin Taufiq
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 7 No. 1 (2026)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol7iss1pp128-136

Abstract

This study aims to analyze the gaps and policy directions for strengthening Micro, Small, and Medium Enterprises (MSMEs) in Majene Regency from the perspective of Entrepreneurial Ecosystem Theory (Stam, 2015). This theoretical approach emphasizes that entrepreneurial success is not only determined by individual entrepreneurs, but also by the systemic interaction between capital, market access, knowledge, talent, social networks, local culture, and institutional and infrastructure support. The study uses a descriptive qualitative method with data collection techniques through literature studies, regional policy documentation, reports from supporting institutions, and triangulation of media data and the latest scientific journals. The results of the study indicate that the MSME entrepreneurial ecosystem in Majene is in the early stages of formation, with various government and institutional interventions such as digital training, Business Development Services programs, and facilitation of export market access through Rumah BUMN. However, significant gaps are still found in aspects of digital access, limited capital and talent, and weak networks between entrepreneurs. Institutional support and physical infrastructure have begun to be built, but have not been integrated into holistic and sustainable MSME development policies. Therefore, a regional policy formulation that is data-based, participatory, and integrated between sectors is needed to strengthen the local entrepreneurial ecosystem in an inclusive manner.
Rancang Bangun Low Clearance Split Frame (LCSF) Untuk Pemotongan Casing Maerial Baja Karbon Doni Suseno
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 7 No. 1 (2026)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol7iss1pp215-227

Abstract

Cutting metals, such as carbon steel, is a stage of engineering and repairing casing pipes or casings made of carbon steel material in accordance with the cut marks that have been set in the marking process. For pipe cutting or welding preparation tasks related to maintenance or new construction, there are basically two different methods used. The first is hot cutting by hand grinding, and the second is a portable unit popularly known as cold cutting that produces weld-ready surfaces. Low Clearance Split Frame (LCSF) is a portable unit used as cold cutting that produces weld-ready surfaces, where cutting occurs due to an air pressure reaction from the water compressor with a portable unit and carbon steel. Low Clearance Split Frame (LCSF) is used manually without going through a heating process, where the unit is mounted around the outer diameter of the case in parallel or tucked into an open-end pipe, and is designed to apply square and precision cuts. The unit requires little maintenance in the form of lubrication, fast operating time and no hot work. For the cutting work here, the material used is a carbon steel casing. In the cutting work of carbon steel casings here, Low Clearance Split Frame (LCSF) is used, where the obstacles found are found in the cutting blade or called the parting blade that is dull, so that sometimes the results of the cutting work become inefficient, such as the surface of the casing that is not smooth and the time to finish the work. This causes the process of sharpening or replacing the parting blade, until the machine can operate optimally. As of this writing, it has been designed for cutting carbon steel casings using Low Clearance Split Frame (LCSF) which aims to produce straight, flat and smooth cuts of carbon steel casings and can produce a 20" outer diameter casing cut with a cutting time of < 60 minutes, a cutting speed on a surface of 60 ft/min (30 cm/sec), and a cut tolerance of + 3 mm
Pendekatan Berbasis Skenario untuk Pengelolaan Persediaan Menggunakan Simulasi Monte Carlo Katarina Muraata Herin; Fibi Eko Putra; Retno Fitri Astuti
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 7 No. 1 (2026)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol7iss1pp258-264

Abstract

Importers and distributors of swimming pool chemicals face significant inventory challenges due to highly volatile and unpredictable demand. This study develops a responsive inventory management strategy by integrating multiple regression analysis with Monte Carlo simulation. Monthly sales data (January-December 2024) for three main products (TCCA Powder, Granular, and Tablet) were analyzed. Descriptive statistics revealed extreme demand volatility, with standard deviations exceeding means for all products. While regression models identified significant influences of previous demand, seasonality, and promotions (R² = 0.58-0.78), their forecasting accuracy was poor, as indicated by high Mean Absolute Percentage Error values (59.40%-147.86%). This limitation justified the shift to a probabilistic approach. Monte Carlo simulation using empirical distributions generated wide demand ranges (e.g., 250-22,000 kg for TCCA Granular), enabling the development of scenario-based inventory policies. The study concludes that the integrated regression-simulation framework provides a more realistic foundation for inventory decision-making than deterministic methods alone, particularly under high uncertainty. The primary contribution lies in positioning Monte Carlo simulation primarily as a decision-support tool rather than a forecasting technique, offering companies a practical method to establish dynamic safety stock levels and improve market responsiveness

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