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All Journal Jurnal Pengabdian Magister Pendidikan IPA Journal of Innovation Research and Knowledge International Journal of Industrial Innovation and Mechanical Engineering International Journal of Mechanical, Electrical and Civil Engineering
Esti Wulandari
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Humanities Astronomy Computer Science & IT Economics, Econometrics & Finance Education Engineering Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences

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Uji Sertifikasi Manajer Lapangan Pelaksanaan Bangunan Gedung Bagi Calon Wisudawan Prodi Jenjang D4 Sebagai Surat Keterangan Pendamping Ijazah Tjendani, Hanie Teki; Risma Marleno; Esti Wulandari; Laksono Djoko Nugroho; Shinta Berlinda Wulandari; Aviska Triayaska
Jurnal Pengabdian Magister Pendidikan IPA Vol 7 No 4 (2024): Oktober-Desember 2024
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v7i4.9964

Abstract

Every construction worker engaged in the construction services field must have a Work Competency Certificate (Sertifikat Kompetensi Kerja Konstruksi/SKK Konstruksi). Every owner and service provider must employ construction workers with an SKK Konstruksi. Construction Service work contracts must include the use of certified construction workers. The SKK-K is a mandatory requirement for working in the construction services sector. This paper will discuss the competency assessment activities conducted by recent D4 graduates to obtain a work competency certificate for the job position of Building Execution Field Manager Level 6. This serves as a graduation requirement and as a Supplementary Diploma Certificate (SKPI; surat keterangan pendamping ijazah). In this assessment, all assessors passed and were declared competent. The students' capabilities are supported by fieldwork practice activities, which are included in the curriculum of their respective study programs. The students have passed the competency assessment, meaning that upon graduation, they already hold both a diploma and a Work Competency Certificate
Analysis of Reservoir Water Storage and Management in the SIER Industrial Zone Muchamad Idam Choliq; Esti Wulandari; Laksono Djoko Nugroho
International Journal of Industrial Innovation and Mechanical Engineering Vol. 2 No. 1 (2025): February: International Journal of Industrial Innovation and Mechanical Enginee
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijiime.v2i1.146

Abstract

This study analyzes the water storage capacity and operational patterns of reservoirs in the Surabaya Industrial Estate Rungkut (SIER) to support efficient and sustainable water resource management. The research adopts a quantitative approach by collecting hydrological data, analyzing storage capacity, and simulating reservoir operations based on seasonal scenarios. The findings indicate that SIER's reservoirs have sufficient capacity to meet industrial water demands, although a supply deficit occurs for four months annually. Technical optimization efforts, such as sediment dredging, have proven to increase storage capacity by more than 200%. Practical recommendations for reservoir management include sedimentation normalization and planned operational strategies. These findings are expected to serve as a reference for other industrial zones in addressing water management challenges due to climate variability and increasing industrial demands.
Capacity Building and Sustainability Efforts Water Resources Muchamad Idam Choliq; Esti Wulandari; Laksono Djoko Nugroho
International Journal of Mechanical, Electrical and Civil Engineering Vol. 2 No. 1 (2025): International Journal of Mechanical, Electrical and Civil Engineering
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmecie.v1i1.147

Abstract

Increasing the capacity and sustainability of water resources are major challenges in reservoir management, especially in areas that are highly dependent on water resources for domestic, agricultural, and industrial needs. The Sier Reservoir, which plays a vital role in providing water to the surrounding area, has experienced a decline in capacity due to sedimentation, uncontrolled flow, and changes in rainfall patterns due to climate change This study aims to identify optimization efforts that can increase the capacity of the sier reservoir and ensure the sustainability of its water resource management. The methodology used in this study includes literature studies, field observations, surveys, interviews with relevant stakeholders, and quantitative data analysis. The results of the study indicate that technical measures such as sedimentation cleaning, infrastructure improvements, and the implementation of technology-based monitoring systems can increase reservoir capacity.
PREDICTIONS OF RAINFALL DATA TO KNOW THE CONTENTS OF RESERVOIR USING THE HOLT-WINTERS EXPONENTIAL SMOOTHING MULTIPLICATIVE MODEL METHOD Nazilatus Sa'idah; Esti Wulandari; Djoko Laksono; Sigit Purwanto
Journal of Innovation Research and Knowledge Vol. 4 No. 9: Februari 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jirk.v4i9.9703

Abstract

Rapid technology has given rise to new methods in science. Among these sciences, data prediction is a science that is often used to find out data on events that will appear in the future, one of which is forecasting discharge data. Water data that fills a reservoir can also be predicted by knowing past rainfall data that occurred in that area. This study aims to examine the water content of the Lowayu Reservoir by predicting past rainfall data to find out the rainfall that occurred in 2026. The results of the rainfall data prediction are then transformed into water discharge that will fill the reservoir and then be used to meet water needs for agriculture. The prediction method used is the Holt-Winters exponential smoothing model multiplicative method. The results of the study show that the highest rainfall was obtained in December - January 2024 - 2026 at 220 mm - 224 mm which resulted in a maximum water volume in the reservoir of 213,400,000 liters -217,280,000 liters/month during 2024-2026 with a Mean Average Percentage Error (MAPE) value of 15.8%
PREDICTION OF RESERVOIR CONTENTS TO IDENTIFY DISCHARGE NEEDS AT THE INTAKE DOOR Nazilatus Sa'idah; Esti Wulandari; Djoko Laksono
Journal of Innovation Research and Knowledge Vol. 4 No. 7: Desember 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jirk.v4i7.9419

Abstract

The rapid development of technology has given rise to new methods in science. Among these sciences, data prediction is a science that is often used to find out data on events that will appear in the future, one of which is forecasting discharge data. Water data that fills a reservoir can also be predicted by knowing past rainfall data that occurred in that area. This study aims to examine the water content of the Lowayu Reservoir by predicting past rainfall data to find out the rainfall that occurred in 2026. The results of the rainfall data prediction are then transformed into water discharge that will fill the reservoir and then be used to meet water needs for agriculture. The prediction method used is the Holt-Winters exponential smoothing model multiplicative method. The results of the study showed that the highest rainfall was obtained in December - January 2024 - 2026 at 220 mm - 224 mm with a MAPE error value of 15.8% and produced a maximum water volume in the reservoir of 213,400,000 liters -217,280,000 liters/month during 2024-2026. Based on the reservoir water content data, intake gate 1 has an opening height of 0.37 m for 115 days for 1 harvest season with an agricultural land area of ​​​​231.5 ha. While intake gate 2 has an opening height of 1.2 m for 1 harvest season with an area of ​​​​1137.5 ha
Co-Authors Aviska Triayaska Djoko Laksono Hanie Teki Tjendani, Hanie Teki Laksono Djoko Nugroho Muchamad Idam Choliq Nazilatus Sa'idah Risma Marleno Shinta Berlinda Wulandari Sigit Purwanto