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All Journal IJEBA (International Journal of Economic, Business & Applications) Journal of Applied Engineering and Technological Science (JAETS) Unri Conference Series: Community Engagement
Dahliyusmanto Dahliyusmanto
Universitas Riau
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences

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Measuring the Progress on Palm Oil Industrial Estate, Sumatera Corridor (MP3EI) Jahrizal Jahrizal; Dahliyusmanto Dahliyusmanto; Marhadi Marhadi; Denni Setiawan
INTERNATIONAL JOURNAL OF ECONOMICS, BUSINESS AND APPLICATIONS Vol 1, No 1 (2016)
Publisher : INTERNATIONAL JOURNAL OF ECONOMICS, BUSINESS AND APPLICATIONS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.176 KB) | DOI: 10.31258/ijeba.1.1.17-23

Abstract

The purpose of this study is to measure the progress of developing the Palm Oil Industrial Estate, sumatera corridor (MP3EI). This study conducted because Industrial Park has been developed almost 10 years laready but the progress is still slow. This study analyzed the characteristics of each variables of its resources on an Industrial Park. Dumai Industrial Park is chosen as a sample. Resources Based view theory is apllied to searching the weaknes and strength of the variables. There are 7 (seven) resources based : Human resources, financial resources, phisical and location resources, natural resources, technology resources, organisation resources, and inovation resources. Each variables is devided into indicators. Then, every indicators is formulated to get the index number. Having index numbers, the web approach is using to analyze the result. The findings are:1. Eventhought the raw material resources is very atractive variable in this industrial park,, but the organization resources has the lower index ( 0) .2. it means that the local government has reluctancy to develop the Tenayan Industrial Resources. Although the other resources have good index, but they are meaningless for Tenayan Industrial development. 3. it shows that Industrial Park at Kawasan Industri Dumai has a weakness to attract the tenant in to its location.
Lampu LED bertenaga baterai akumulator untuk pencahayaan usaha dagang Mikro-Kecil di Desa Indah Karya, Kecamatan Tapung, Kabupaten Kampar, Provinsi Riau Budhi Anto; Dahliyusmanto Dahliyusmanto; Eddy Hamdani
Unri Conference Series: Community Engagement Vol 4 (2022): Seminar Nasional Pemberdayaan Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/unricsce.4.334-340

Abstract

The government policy to convert the use of kerosene to LPG has created kerosene to become precious and rare good in the market. This condition has caused many difficulties among the micro-small moving merchants that depend on kerosene lamps for lighting their wagons at night. Thus, the solution must be carried out to ensure their business sustainability. This article reports our community services program to supply and install battery-powered LED lamps with battery chargers for moving culinary merchants in Indah Karya village, Tapung District, Kampar Regency, to provide them with more efficient and effective lighting technology. Our analysis shows that the application of battery-powered LED lamps has significantly reduced merchants' operational costs and provided more accessibility to power the lamps. We have chosen one moving merchant that sells daily needs as our partner. The LED lamps, the power inverter, and the VRLA battery are installed and wired on our partner's wagon. We have evaluated the impact of this new lighting technology on our partner's business. Based on the evaluation, our partner has experienced a substantial operational cost reduction and easy access to power his wagon's lighting.
A Machine Learning Model for Determination of Gender Utilizing Hybrid Classifiers Dewi Nasien; M. Hasmil Adiya; Yusnita Rahayu; Dahliyusmanto Dahliyusmanto; Erlin Erlin; Devi Willieam Anggara
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.1839

Abstract

One part of forensic anthropology involves investigating skeletal remains to identify corpses, and many of these remains were found incomplete, burned, broken, or destroyed, making investigation challenging. This study aims to use the pelvis and femur to identify the gender of skeletal remains. The pelvis and femur have previously been proven to be accurate indicators of a corpse's gender. The identification process is done through the measurement of the subpubic angle of the pelvis and the angle taken straight down from the top of the femur to the patella and then straight up. The two measurements were combined using the principal component analysis (PCA) method into two attributes on the x and y axes. These attributes were later used as data for the machine learning model design. The design process consisted of an Artificial Neutral Network (ANN) design model and Support Vector Machine (SVM) design model combined into a hybrid machine learning system. The ANN and SVM hybrid machine learning were tested with acquired data. The result of the test using the confusion matrix showed 83.33% accuracy, which is categorized as "good classification" based on Area Under the Curve (AUC).
Co-Authors Adiya, M. Hasmil Budhi Anto Denni Setiawan Devi Willieam Anggara Dewi Nasien Eddy Hamdani Erlin Jahrizal Jahrizal Marhadi Marhadi Yusnita Rahayu