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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Public Health Science (IJPHS) International Journal of Evaluation and Research in Education (IJERE) Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan TAZKIYA JOURNAL OF PSYCHOLOGY Media Komunikasi Geografi KUKILA Biology, Medicine, & Natural Product Chemistry Communication in Biomathematical Sciences Marine Research in Indonesia SULTANIST: Jurnal Manajemen dan Keuangan Majalah Sainstekes Medica Hospitalia Journal of Information Systems and Informatics Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Law and Economics Review Jambura Journal of Biomathematics (JJBM) Jurnal Kewarganegaraan International Journal for Applied Information Management Indonesian Journal of Oceanography Journal of Emerging Business Management and Entrepreneurship Studies Jurnal Manajemen dan Bisnis ASEAN Social Work Journal International Journal of Management and Business Intelligence (IJMBI) Journal of Indonesian Tourism and Policy Studies International Journal of Global Sustainable Research Retina Jurnal Fotografi The Indonesian Journal of Computer Science

Alain Compost

Unknown Affiliation

Author-ID : 248036

Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 34 Documents Claim Missing Document

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Articles

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An early arrival of the Malayan Night Heron Gorsachius melanolophus in Java Compost, Alain; Milton, G Randy
KUKILA Vol 2, No 4 (1986)
Publisher : KUKILA

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PENAEOID SHRIMPS (BENTHESICYMIDAE, ARISTEIDAE, SOLENOCERIDAE, SICYONHDAE) COLLECTED IN INDONESIA DURING THE CORINDON II AND IV EXPEDITIONS Crosnier, Alain
Marine Research in Indonesia Vol 24 (1984)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

During the CORINDON II and IV expeditions, the former in the Makassar Strait and the latter in Piru Bay and Ambon Bay, Molluccas, 47 species of penaeoid shrimps were collected. They include 2 species belonging to the Benthesicymidae, 5 to the Aristeidae, 19 to the Solenoceridae, 2 to the Sicyoniidae and 19 to the Penaeidae.

Pemanfaatan Prediksi Tutupan Lahan Berbasis Cellular Automata-Markov dalam Evaluasi Rencana Tata Ruang Fardani, Irland; Mohmed, Fhanji Alain Jauzi; Chofyan, Ivan
Media Komunikasi Geografi Vol 21, No 2 (2020)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mkg.v21i2.28121

Kota Cirebon mempunyai jumlah penduduk yang terus bertambah, namun ketersediaan lahan tidak bertambah, hal ini mengakibatkan banyak perubahan tutupan lahan di Kota Cirebon. Dikarenakan hal ini, sebuah kota mempunyai Rencana Tata Ruang Wilayah (RTRW) untuk menjaga perubahan lahan dan membuat city tumbuh dengan teratur. Keberadaan RTRW dapat di evaluasi tiap lima tahun sekali sejalan dengan pertumbuhan dari kota. Tujuan dari penelitian ini adalah untuk mengevaluasi Pola Ruang RTRW Kota Cirebon dengan pendekatan model prediksi tutupan lahan berbasis Cellular Automata-Markov. Celullar automata adalah sebuah model yang memprediksi perubahan tutupan lahan dengan mempertimbangkan tutupan lahan sekitar-nya. Dengan menggunakan Citra Satelit Landsat Tahun 1999 dan 2009, kemudian diproses dengan model cellular automata,maka didapatkanlah prediksi tutupan lahan tahun 2031.Dari hasil penelitian, dari hasil prediksi tutupan lahan tahun 2031 yang dioverlay dengan pola ruang RTRW tahun 2031, terdapat 21.9 % tutupan lahan yang diprediksi tidak akan sesuai dengan RTRW. Pertumbuhan kawasan permukiman akan bertambah cukup signifikat pada periode 2019-2031 yaitu sekitar 690 Ha. Dengan model perubahan lahan, dapat digunakan sebagai masukan bagi pemerintah kota Cirebon dalam mengavaluasi RTRW atau mengkotrol perubahan tutupan lahan di Kota Cirebon.

Knowledge about Reproductive Health among Students in Junior High School 3 Keruak, East Lombok Intan Farida Yasmin; Dicky Adi Putra; Sayyid Abdil Hakam; Lia Fristka; Jimmi Lihartanadi; Matt Biondi; Christiani Christiani; Ayu Kartika Sari; Alain Laurent
Majalah Sainstekes Vol 7, No 2 (2020): DESEMBER 2020
Publisher : Lembaga Penelitian Universitas YARSI

Aims: The study aimed to analyze the knowledge level on reproductive health among junior high school students in a rural district, Keruak, East Lombok. Methods: A cross-sectional, descriptive study was carried out among seventh and eighth-grade students (n=139) in Junior High School 3 Keruak, East Lombok, from March to April 2015. All participants answered a validated questionnaire consisting of 66 questions regarding reproductive health, STIs (sexually transmitted infections), and HIV-AIDS. Results: The students had low scores in all three topics. They obtained the highest score on a reproductive health topic and the lowest score on STIs topic. Students in the eighth grade had a better score in reproductive health and HIV-AIDS than those in the seventh grade. Male students had better knowledge of reproductive health and HIV-AIDS than female students (p

An early arrival of the Malayan Night Heron Gorsachius melanolophus in Java Alain Compost; G Randy Milton
KUKILA Vol. 2 No. 4 (1986)
Publisher : Indonesian Ornithologists’ Union

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Rancangan Strategi Penanganan Risiko Pada Proyek PLTM (Pembangkit Listrik Mini Hidro) di Indonesia Sapphiro, Hanif Ramdhani Rachmadi; Nugraha, Made Arya; Widjanarka, Alain; Kurniawan, Jeffrey
Journal of Emerging Business Management and Entrepreneurship Studies Vol. 1 No. 1 (2021): Journal of Emerging Business Management and Entrepreneurship Studies
Publisher : Research Center and Case Clearing House (RC-CCH) - Sekolah Tinggi Manajemen PPM

This research discusses the design of risk management strategies in MHP projects in Indonesia. MHP is a type of power plant that uses hydropower to turn turbines for generate an electricity. The MHP project involves a large investment with a long construction period. The length of the construction time, creates an uncertainty factor that impacts on three aspects of the project objectives. The objective aspects of the project are cost, quality, and time. Several MHP projects in Indonesia have underperformed, such as delays in completion time and cost overruns. The risk management process, which consists of risk identification, risk assessment, risk management formulation and risk control, forms the basis of research work. In this study, 23 risks were identified in the MHP project. Fifteen of them have high impact on two aspects and three have high impact on three aspects of project objectives. The results of this study can be used as a guide for risk management in MHP projects in Indonesia. The results of this study can be used as a guide for risk management in MHP projects in Indonesia. It is hoped that the design of this strategy will also help the project to achieve its goals. Furthermore, the results of this research can be used as learning materials in planning the development of MHP in the future.

Rancangan Strategi dalam Menanggulangi Risiko pada Proses Pengadaan di PT. Asahimas Chemical dengan Menerapkan Konsep "House of Risk" Putra, Resha Widya Permana; Widjanarko, Alain
Journal of Emerging Business Management and Entrepreneurship Studies Vol. 4 No. 1 (2024): Journal of Emerging Business Management and Entrepreneurship Studies
Publisher : Research Center and Case Clearing House (RC-CCH) - Sekolah Tinggi Manajemen PPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34149/jebmes.v4i1.145

The purpose of this research about risk management in the supply chain is to identify potential risks that occur and the causes of the risks and to obtain a correlation between the causes of the risks and the risk events in the company. The research method using the HOR method, from the results obtained, there are seven main risks, namely the selection of land and sea transportation. The selection of land and sea transportation is not standard and has many problems (delays), shortages in supply capacity, unclear PR specifications, QA/QC processes are not followed, ship arrival is not on time, the high overturn of employees, and a significant increase in demand. Significant increase in demand. The conclusion obtained 7 (seven) significant preventive measures, including Among them are building Using tracking technology and logistics management to monitor the transportation movement of transportation equipment in real-time, identifying areas or stages of areas or production stages that can be improved to overcome shortcomings, implementing a review process involving review process that involves competent parties, periodic internal audits to evaluate compliance with QA procedures. Periodically to evaluate compliance with QA/QC procedures and insert punctuality clauses in contracts. Timeliness clauses in contracts with shipping companies or logistics service providers consider policies for work-life balance to reduce fatigue and stress and proactively increase production capacity.

Government Support and Investors Participation in Rwanda Stock Exchange Alain, Amani Manzi; Faustin, Gasheja; Isaïe, KadhafiMisango
International Journal of Management and Business Intelligence Vol. 2 No. 4 (2024): August 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijmbi.v2i4.2350

This study was primarily motivated to investigate the investors participation as it has been observed to be low. The empirical examination was achieved through the variables of capacity building and enabling environment by government as independent variable and investors participation as dependent variable on the Rwanda Stock Exchange. The study included an explanatory and survey design. A total of 188 responses were received from a pool of 219respondents from RSE investors. This study's respondents were identified via purposive sampling, and responses were elicited using a 5-point Likert survey questionnaire. Data were collected through a number of ways, including a structured questionnaire for investors, semi-directed interviews with brokers, and a documentary review. According to the findings, investors' participation in the Rwanda Stock Exchange is primarily determined by their numeracy skills. On the whole, the combinations of these two determinants’ accounts for investor involvement on the stock exchange. The study discovered that both capacity building and enabling environment positively and significantly influenced investor participation in the Rwanda stock exchange. This study helps to make policy by demonstrating that financial education and literacy training (capacity building) should be provided to investors and prospective investors on the Stock Exchange. The government should continue to fine tune its legislation to encourage both local and international investors. The current article contributes to Rwanda stock exchange policy advisory as it has shown the benefit of capacity building and provision of enabling environment by government. The study can be a good library for researcher too.

PdM-FSA: predictive maintenance framework with fault severity awareness in Industry 4.0 using machine learning Moulla, Donatien Koulla; Mnkandla, Ernest; Aboubakar, Moussa; Abba Ari, Ado Adamou; Abran, Alain
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp7211-7223

Predictive maintenance contributes to Industry 4.0, as it enables a decrease in maintenance costs and downtime while aiming to increase production and return on investment. Despite the increasing utilization of machine learning techniques in predictive maintenance in industrial systems over the past few years, several challenges remain to be addressed in the implementation of ML, including the quality of the data collected, resource constraints, and equipment heterogeneity. This study proposes an adaptive framework for predictive maintenance in the context of Industry 4.0, specifically in internet of things (IoT) systems, using machine learning (ML) models. In particular, this study introduces PdM-FSA, a new framework based on an ensemble classifier that takes advantage of four widely adopted ML models in the predictive maintenance literature: random forest (RF), support vector machine (SVM), extreme gradient boosting (XGBoost), and k-nearest neighbors (KNN). The performance evaluation results showed that the PdM-FSA framework can perform well for predictive maintenance according to the severity of equipment malfunctions in a smart factory. The results of this study provide significant knowledge to researchers and practitioners on predictive maintenance in the context of Industry 4.0. and enables the optimization of processes and improves productivity.

Local Fourier features for handwriting digit images classification Alain Bernard, Djimeli-Tsajio; Thierry, Noulamo; Jean-Pierre, Lienou T.; Daniel, Tchiotsop; Nagabhushan, Panduranga
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp2592-2601

Multiple choice questions (MCQ) are effective in normative assessment and offline testing is still relevant due to the lack of efficient mass infrastructures and maintenance. For the automatic correction of MCQ paper form and reporting of the grade, it is generally necessary to read and recognize a handwriting digit in a box. This paper focuses on local feature extraction in the frequency domain using Fourier transform. The pre-process begins with the extraction of the fields from the entity map, followed by the application of 2D fast Fourier transform (2DFFT) and the reduction of computed coefficients to obtain the corresponding final local characteristic in the representation. The experimental results of the Modified National Institute of Standards and Technology (MNIST) handwriting digits dataset show that the local characteristics extracted in the frequency domain used as input to a support vector machine (SVM) classifier are efficient in terms of 99.51% accuracy. The proposed system successfully helped in the reporting of all the marks for seven subjects in a class of 98 students during the automatic correction of the MCQ exam papers.

Co-Authors Abba Ari, Ado Adamou Aboubakar, Moussa Agbangnan, Pascal Dossa Cokou Akpan, Margaret Inemesit Alifiati Fitrikasari Ariesa, Yeni Asad, Shibli Jamal Shariff Avlessi, Felicien Ayu Kartika Sari Balbuena, Alyanna Fae Bernard, Fotsing Talla Bernard, Severine Cabrera, Gino Chan, Felix Cheikhi, Laila Chibuzor-Eke, Uchechi Esther christian christian Christiani Christiani Daniel, Tchiotsop Darmasaputra, Albert Delariarte, Clarissa Delgado Moya, Erick Manuel Dicky Adi Putra Dwi Haryo Ismunarti Ele, Pierre Eric, Njock Batake Emmanuel Eyam, Lilian Eberechukwu Fadhillah, Muhammad Afdhal Faustin, Gasheja Felim, Nicholas G Randy Milton Georges, Olong Hari Peni Julianti Hendy Tannady Idri, Ali Ikhsan Amar Jusman Irland Fardani Irma M Nawangwulan Isaïe, KadhafiMisango Isong, Bassey Ivan Chofyan Iwan Henri Kusnadi Jean-Pierre, Lienou T. Jean-Pierre, LienouLienou T. Jimmi Lihartanadi Jordan, Mouné Cédric Kucukaydin, Selcuk Kurniawan, Jeffrey Lia Fristka Lugayizi, Francis Manalu, Margareta Masanda, Argel Bondoc Matt Biondi Maurice, Nyobe Yomé Jean Max, Ndoumbé Matéké Mnkandla, Ernest Mochamad Arief Budihardjo Moise, Manyol Moulla, Donatien Koulla Moya, Erick Manuel Delgado Muhammad Helmi Nagabhushan, Panduranga Nanny Mayasari Natalia Dewi Wardani Nugraha, Made Arya Nyobe Yome, Jean Maurice Obiora Peters Oka, Ibiang Arikpo Okon, Aniekanabasi Jonathan Olaye, Theophile Oliva, Sergio Muniz Ouaziz, Mohammed Rida Pertiwi Andarani pu, xiaode Qusnul Khotimah Resha Widya Permana Putra Rodriguez, Ranses Alfonso Samuel PD Anantadjaya Sapphiro, Hanif Ramdhani Rachmadi Sari, Helinda Maya Kumala Sayyid Abdil Hakam Siti Annisa Wahdiniawati Sohounhloue, Dominique Codjo Koko Sutaty, Witrie Tamfu, Alfred Ngenge Tanganco, Gil Jeff Thierry Sosso, Olivier Thierry, Noulamo Titis Hadiati, Titis Yasmin, Intan Farida

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