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Pemanfaatan Checksheet Audit 5R dalam Menunjang Productive Maintenance pada Usaha Bengkel Sepeda Motor Fany Apriliani; Jasmina Atria Zulkhulaifah; Dhea Laita Aisara; Fakhri Refno Habibie; Muhammad Iqbal; Salva Arya Sonjaya
Madaniya Vol. 3 No. 4 (2022)
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/27214834.326

Penjualan sepeda motor di tanah air mengalami peningkatan setiap tahunnya. Hal tersebut turut mendukung peningkatan peluang usaha bengkel sepeda motor. Bengkel resmi maupun non resmi, keduanya memiliki keunggulan dan kelemahannya masing-masing. Metode kerja yang mampu mensinergikan good housekeeping, standarisasi, dan upaya menghilangkan pemborosan, yaitu melalui implementasi budaya kerja 5R. Keberhasilan penerapan budaya kerja 5R dapat diketahui melalui audit 5R. Tujuan kegiatan adalah melakukan audit 5R di bengkel sepeda motor. Mitra kegiatan ini adalah bengkel sepeda motor “Danne Motor”, yang tergolong bengkel non resmi. Tahapan kegiatan meliputi persiapan, pelaksanaan dan evaluasi. Instrumen yang digunakan adalah checksheet audit 5R, berisi aspek pengamatan pada setiap item prinsip kerja Ringkas, Rapi, Resik, Rawat dan Rajin (5R). Checksheet audit 5R dilengkapi dengan skor penilaian 0-100. Kategori penilaiannya mulai dari sangat kurang hingga sangat baik. Hasil audit menunjukan status capaian penerapan budaya 5R di bengkel Danne Motor masih perlu ditingkatkan terus produktivitasnya. Statusnya berada pada rataan kategori cukup dengan kisaran nilai 45-64. Kegiatan ini berhasil mengidentifikasi beberapa permasalahan terkait 5R secara sistematis di Bengkel Danne Motor. Improvement secara bertahap yang dapat dilakukan adalah pendampingan penerapan 5R di bengkel melibatkan trainer, pengelola bengkel dan para pekerjanya, penyusunan standarisasi kerja yang mendukung good housekeeping, dan penyusunan checksheet audit 5R yang lebih lengkap dan spesifik khusus untuk bengkel otomotif.

The Bintan MOS development: contribution of ideas to realize Nusantara marine observation network Dony Apdillah; Indra Jaya; Muhammad Iqbal; Ratih Deswati; Mahesa Glagah; Bili Kusumah; Agung Tri Nugroho; Imam Syafi’i
Depik Vol 10, No 1 (2021): April 2021
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Several marine research have attempted to design a data observation system using Internet of Things (IoT). In the future, this system is predicted to become a necessity for marine researchers as a strategic technology to continuously access data. Therefore, this study provides information on the development and application of observation and data collection systems using IoT. The coastal weather and tidal data were obtained via the automatic coastal weather station and acoustic gauge respectively. Meanwhile, the various research activities commenced in July, 2018. In the first year, an operational observation system was developed, while comprehensive baseline data such as air temperature, humidity, wind speed, and sea surface level were also collected. This collection system is reliable, provides real-time data, and easily accessible with internet connection. Furthermore, the Bintan Marine Observation System (The Bintan MOS) is also suitable for other uses such as; monitoring water quality and marine mammals, as well as disaster mitigation. The adoption of this system by other sectors potentially conditions marine researchers for data exchange, to fully understand the fluctuations in coastal weather of Western and Eastern Indonesia as well as the tropical and sub-tropical marine weather. This study successfully developed the Bintan MOS, capable of providing reliable information both off-line and real-time.Keywords:Marine observation systemCoastal weatherTidalBintan

The Bintan MOS development: contribution of ideas to realize Nusantara marine observation network Dony Apdillah; Indra Jaya; Muhammad Iqbal; Ratih Deswati; Mahesa Glagah; Bili Kusumah; Agung Tri Nugroho; Imam Syafi’i
Depik Vol 10, No 1 (2021): April 2021
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.10.1.18181

Several marine research have attempted to design a data observation system using Internet of Things (IoT). In the future, this system is predicted to become a necessity for marine researchers as a strategic technology to continuously access data. Therefore, this study provides information on the development and application of observation and data collection systems using IoT. The coastal weather and tidal data were obtained via the automatic coastal weather station and acoustic gauge respectively. Meanwhile, the various research activities commenced in July, 2018. In the first year, an operational observation system was developed, while comprehensive baseline data such as air temperature, humidity, wind speed, and sea surface level were also collected. This collection system is reliable, provides real-time data, and easily accessible with internet connection. Furthermore, the Bintan Marine Observation System (The Bintan MOS) is also suitable for other uses such as; monitoring water quality and marine mammals, as well as disaster mitigation. The adoption of this system by other sectors potentially conditions marine researchers for data exchange, to fully understand the fluctuations in coastal weather of Western and Eastern Indonesia as well as the tropical and sub-tropical marine weather. This study successfully developed the Bintan MOS, capable of providing reliable information both off-line and real-time.Keywords:Marine observation systemCoastal weatherTidalBintan

The Bintan MOS development: contribution of ideas to realize Nusantara marine observation network Dony Apdillah; Indra Jaya; Muhammad Iqbal; Ratih Deswati; Mahesa Glagah; Bili Kusumah; Agung Tri Nugroho; Imam Syafi’i
Depik Vol 10, No 1 (2021): April 2021
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.10.1.18181

Several marine research have attempted to design a data observation system using Internet of Things (IoT). In the future, this system is predicted to become a necessity for marine researchers as a strategic technology to continuously access data. Therefore, this study provides information on the development and application of observation and data collection systems using IoT. The coastal weather and tidal data were obtained via the automatic coastal weather station and acoustic gauge respectively. Meanwhile, the various research activities commenced in July, 2018. In the first year, an operational observation system was developed, while comprehensive baseline data such as air temperature, humidity, wind speed, and sea surface level were also collected. This collection system is reliable, provides real-time data, and easily accessible with internet connection. Furthermore, the Bintan Marine Observation System (The Bintan MOS) is also suitable for other uses such as; monitoring water quality and marine mammals, as well as disaster mitigation. The adoption of this system by other sectors potentially conditions marine researchers for data exchange, to fully understand the fluctuations in coastal weather of Western and Eastern Indonesia as well as the tropical and sub-tropical marine weather. This study successfully developed the Bintan MOS, capable of providing reliable information both off-line and real-time.Keywords:Marine observation systemCoastal weatherTidalBintan

DESIGN AND DEVELOPMENT OF A DEEP LEARNING-BASED AUTOMATIC FISHERIES LOGBOOK FILLING TOOL Muhammad Iqbal; Muhammad Fadhilah Tanhir; Bachtiar Adi Apriliansyah; Xavercius Cezar Pratama; Kuntum Khaira Nadja; Alnodio Lotaldy; Prihatin Ika Wahyuningrum
Marine Fisheries : Journal of Marine Fisheries Technology and Management Vol. 15 No. 2 (2024): Marine Fisheries: Journal of Marine Fisheries Technology and Management
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jmf.v15i2.47574

Filling out a fishery logbook is critical in capturing fisheries to maintain fishery sustainability. However, manual logbook filling often leads to errors in data recording, which can impact the accuracy and quality of fishery data. This study propose the design of an automatic fisheries logbook filling tool based on Deep Learning, called FLOADS (Fisheries Logbook and Detection System). This system consists of instruments placed at the ship's hatch, equipped with a camera capable of detecting fish species, measuring the weight of individual fish passing through, and recording and sending data, along with the ship's position and speed, to a server on land. The development stages of the FLOADS include problem identification, tool design, prototype development, and field testing. The FLOADS prototype consisted of three parts: a fish collection container, a fish sliding area, and an Imaging Box with dimensions of 120 cm × 65 cm × 82 cm. Validation of the YOLOv5 model showed an accuracy rate of 99.07% and an F1-Score of 99.1% for recognizing the Tuna, Cakalang, and Tongkol (TCT) fish species. Field testing was conducted in Palabuhanratu using a 10 GT fishing vessel. The field testing results show that FLOADS performs well on board to detect objects with an accuracy rate of 89.1% and track vessel activities with reasonable accuracy. Keywords: Deep Learning, DeepSORT, Fisheries Logbook, Measurable Fishing, TCT.

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