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All Journal Jurnal Teknik Industri SITEKIN: Jurnal Sains, Teknologi dan Industri JRSI (Jurnal Rekayasa Sistem dan Industri) PROZIMA (Productivity, Optimization and Manufacturing System Engineering)
Ika Deefi Anna, Ika Deefi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Other

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ANALISIS KLASTER UNTUK PENENTUAN KARAKTERISTIK KELOMPOK WILAYAH BERDASARKAN INTENSITAS BENCANA ALAM YANG TERJADI DI DESA PESISIR Anna, Ika Deefi
Jurnal Rekayasa Sistem & Industri Vol 1 No 02 (2014): Jurnal Rekayasa Sistem & Industri - Oktober 2014
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (240.168 KB)

Abstract

Analisis klaster dilakukan terhadap Provinsi di seluruh Indonesia yang memiliki desa pesisir yang pernah mengalami bencana alam. Analisis klaster ini bertujuan untuk mengelompokan (klasifikasi) Provinsi berdasarkan intensitas potensi bencana alam yang terjadi di desa pesisir yang dimiliki oleh masing-masing Provinsi . Analisis klaster dilakukan dengan menggunakan bantuan software mathcad 14. Variabel bencana alam yang dijadikan dasar pengklasteran adalah bencana Longsor, Banjir, Banjir Bandang (BB), Gempa, Gelombang Pasang Laut (GPL) dan Angin Puting Beliung (APB). Berdasarkan pengolahan data dengan software mathcad 14. didapatkan jumlah klaster yang terbentuk dari 9 klaster sampai 2 klaster. Pada jumlah klaster yang terbentuk sebanyak 3 klaster, intensitas bencana alam di desa pesisir diklasifikasikan kedalam intensitas tinggi, sedang dan rendah. Sedangkan pada jumlah klaster Provinsi yang terbentuk sebanyak 2 klaster, intensitas bencana alam di desa pesisir diklasifikasikan kedalam intensitas tinggi dan rendah.
Development of Artificial Neural Network Model for Estimation of Salt Fields Productivity Cahyadi, Indra; Ilhamsah, Heri Awalul; Anna, Ika Deefi
Jurnal Teknik Industri Vol 20, No 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (330.142 KB) | DOI: 10.22219/JTIUMM.Vol20.No2.152-160

Abstract

In recent years, Indonesia needs import million tons of salt to satisfy domestic industries demand. The production of salt in Indonesia is highly dependent on the weather. Therefore, this article aims to develop a prediction model by examining rainfall, humidity and wind speed data to estimate salt production. In this research, Artificial Neural Network (ANN) method is used to develop a model based on data collected from Kaliumenet Sumenep Madura.  The model analysis uses the full experimental factorial design to determine the effect of the ANN parameter differences. Then, the selected model performance compared with the estimate predictor of Holt-Winters. The results present that ANN-based models are more accurate and efficient for predicting salt field productivity.
Strategies for Enhancing the Resilience of Tourism Villages in Madura Using the House of Risk (HOR) Approach: Strategi Peningkatan Ketahanan Desa Wisata di Madura dengan Menggunakan House of Risk (HOR) Agustina, Fitri; Pramudea, Helen Intan; Cahyadi, Indra; Anna, Ika Deefi
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 9 No. 1 (2025): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

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Abstract

Tourist villages are villages with distinctive traditions, arts, culture and customs passed down from generation to generation which are used as tourist attractions by local residents. The Central Bira Tourism Village with Lon Malang Beach is included in the advanced tourist village category according to jadesta.kemenparekraf.go.id. Based on the results of observations, the management of the Tourism Village has not thought about plans and strategies regarding further development related to the Tourism Village, it has only focused on improving infrastructure, there has not been a plan for further development of the tourism village which has the potential to create risks, and there is a need for strategies to deal with the emergence of these risks. Risk analysis and risk mitigation to prevent risks and disturbances that are likely to arise in tourism village development activities. Risk analysis and determining risk mitigation strategies using the House of Risk method which consists of two implementation stages. The first stage is to identify the risk event, and the cause of the risk, then an assessment of the severity and occurrence values is carried out, followed by providing a correlation assessment of the relationship between the risk event and the cause of the risk. The results of the correlation assessment obtain an Aggregate Risk Potential value. In the second stage, using the Pareto concept, 15 risk agents were identified based on the results of the top ranking, mitigation strategies were used by the tourism village to overcome risks to tourism management activities.
MEASUREMENT AND STRATEGY TO IMPROVE THE PRODUCTIVITY OF MADURA’S PEOPLE’S SALT BUSINESS WITH OBJECTIVE MATRIX (OMAX) AND TRAFFIC LIGHT SYSTEM (CASE STUDY : PEOPLE SALT SUMENEP) Wulandari, Aprilia; Anna, Ika Deefi; Cahyadi, Indra
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 21, No 2 (2024): June 2024
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v21i2.26921

Abstract

Sumenep Regency is the largest salt producing district on the island of Madura. However, the productivity of salt produced is still low. Therefore, this study aims to measure the salt productivity of the people of Sumenep, find out the factors that affect salt productivity, and provide recommendations for improvements to increase the salt productivity of the people of Sumenep. Productivity measurement uses  the Objective Matrix (OMAX) method which uses 5 ratios, namely land area, salt selling price, salt farmer group, quality salt 1 and quality salt 2. The next stage is to measure the value of productivity on each criterion, determine targets and weights using the Analytical Hierarcy Process (AHP) method, determine targets and calculate OMAX levels and analyze the productivity of salt production of the people of Sumenep. The results of productivity calculations using the OMAX method showed that the highest productivity index occurred in September at 572.319%, while the lowest productivity index occurred in August at -66.727%. Based on the traffic light system method, recommendations for improvement to increase ratio 4 (quality 1) and ratio 5 (quality 2) are by making tunnels or prism houses and the use of geomembranes that can increase salt production in quantity and quality.
Co-Authors Fitri Agustina heri awalul ilhamsah INDRA CAHYADI, INDRA Pramudea, Helen Intan WULANDARI, APRILIA