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Prediksi Laju Pembentukan Air Asam Tambang dengan Metode Column Leaching Test Muhammad Ramli; Nur Ilham Situru; Muhammad Thamrin
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Prediction of Acid Mine Drainage Forming using Method of Column Leaching Test. One of the environmental problems in coal mining activities is the formation of acid mine drainage. Prediction of the formation of acid mine drainage is important as an effort to control environmental impacts. Acid mine water occurs with interactions between potentially acid-forming material with oxygen, bacteria and water. Objective of study is to analyze the potential for acid mine drainage forming based on material characteristics. The research method was carried out using static and kinetic tests. The static test method classifies materials according to the ability to produce clean acids with observed parameters such as paste pH, total sulfur, Acid Neutralizing Capacity (ANC), Net Acid Generation (NAG), Maximum Potential Acid (MPA), and Net Acid Producing Potential (NAPP). The Kinetic test method predicts the rate of acid-forming of a material. The kinetic test uses the Column Leaching Test Method by using material with composition designed to represent field condition. The kinetic method parameters are pH, electrical conductivity, acidity, alkalinity, sulfate content, and dissolved metal content (Fe, Mn, and Cd). Results of the static test classified the material into NAF Non-Acid Forming (NAF), Potential Acid Forming (PAF) and Uncertain (UC) material categories. The results of the Column Leaching Method classified the material into categories of potential and no potential to form acid mine water. The columns that have the potential to form acid mine drainage occur in columns with large amounts of tonnage of PAF material or those in the upper layer so that it reacts with oxygen. The columns that have no potential to produce acid mine drainage in columns with PAF material are in the middle layer or mixed with NAF material.

Prediksi Laju Pembentukan Air Asam Tambang dengan Metode Column Leaching Test Ramli, Muhammad; Situru, Nur Ilham; Thamrin, Muhammad
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Prediction of Acid Mine Drainage Forming using Method of Column Leaching Test. One of the environmental problems in coal mining activities is the formation of acid mine drainage. Prediction of the formation of acid mine drainage is important as an effort to control environmental impacts. Acid mine water occurs with interactions between potentially acid-forming material with oxygen, bacteria and water. Objective of study is to analyze the potential for acid mine drainage forming based on material characteristics. The research method was carried out using static and kinetic tests. The static test method classifies materials according to the ability to produce clean acids with observed parameters such as paste pH, total sulfur, Acid Neutralizing Capacity (ANC), Net Acid Generation (NAG), Maximum Potential Acid (MPA), and Net Acid Producing Potential (NAPP). The Kinetic test method predicts the rate of acid-forming of a material. The kinetic test uses the Column Leaching Test Method by using material with composition designed to represent field condition. The kinetic method parameters are pH, electrical conductivity, acidity, alkalinity, sulfate content, and dissolved metal content (Fe, Mn, and Cd). Results of the static test classified the material into NAF Non-Acid Forming (NAF), Potential Acid Forming (PAF) and Uncertain (UC) material categories. The results of the Column Leaching Method classified the material into categories of potential and no potential to form acid mine water. The columns that have the potential to form acid mine drainage occur in columns with large amounts of tonnage of PAF material or those in the upper layer so that it reacts with oxygen. The columns that have no potential to produce acid mine drainage in columns with PAF material are in the middle layer or mixed with NAF material.

Sistem Respon Satu Derajat Kebebasan terhadap Beban Harmonik pada Struktur Portal 2D Muhammad Zubair Muis Alie; Indah Melati Suci; Astika Rajmi; Andi Muhammad Alfian Arafat
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Response of One Degree of Freedom System to Harmonic Loading on the structure idealized as single degree of freedom systems excited harmonically, that is structure subjected to force or displacement where the magnitude may be represented by a sine or cosine function of time. This type of excitation results one of the most important motions in the study of mechanical vibrations as well as in applications to structural dynamics. Structure is very often subjected to the dynamic action such cyclic load acting and resulting response due to the the unavoidable load eccentricity. The objective of the present study is to analyze the response of one-degree of freedom system to the portal 2D. The structure is modelled and analyzed using finite element method. The result obtained by FE method is joint displacement of the structure.

Sistem Respon Satu Derajat Kebebasan terhadap Beban Harmonik pada Struktur Portal 2D Muis Alie, Muhammad Zubair; Suci, Indah Melati; Rajmi, Astika; Arafat, Andi Muhammad Alfian
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Response of One Degree of Freedom System to Harmonic Loading on the structure idealized as single degree of freedom systems excited harmonically, that is structure subjected to force or displacement where the magnitude may be represented by a sine or cosine function of time. This type of excitation results one of the most important motions in the study of mechanical vibrations as well as in applications to structural dynamics. Structure is very often subjected to the dynamic action such cyclic load acting and resulting response due to the the unavoidable load eccentricity. The objective of the present study is to analyze the response of one-degree of freedom system to the portal 2D. The structure is modelled and analyzed using finite element method. The result obtained by FE method is joint displacement of the structure.

Rancang Bangun Sistem Keamanan dan Pemantau Tamu pada Pintu Rumah Pintar Berbasis Raspberry Pi dan Chat Bot Telegram Zaenab Muslimin; Muhammad Arief Wicaksono; Muhammad Fandly Fadlurachman; Ilham Ramli
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Security Systems and Guest Monitoring Prototypes on smart doors Based on Raspberry Pi and Telegram Chat Bot. Current technology is developing so rapidly that it can be used to help people carry out daily tasks at home by designing devices that can be controlled remotely (remote control) so as to create a dream home with increased comfort and safety of residents. This study aims to design a tool for monitoring guests equipped with a security system using the Raspberry Pi microprocessor to process data to be sent to Telegram Chat Bot. Data sent to the Chat Bot Telegram will later be accessed by a smartphone in the form of a guest image taken by a raspberry pi camera. This tool has two modes namely the smart mode that is used to take pictures of guests when a guest presses the bell button and the safe mode is used to take pictures of people who are at the door automatically using a PIR sensor. The results showed that the PIR sensor with maximum sensitivity can detect objects well within a maximum distance of 5 m, the Raspberry Pi camera can take pictures with good quality up to 11m distance and testing on the Chat Bot runs well, all commands have been tested and provide information in the form reciprocal chatter. This prototype allows homeowners to see guests or people at the door through a smartphone in real time.

Rancang Bangun Sistem Keamanan dan Pemantau Tamu pada Pintu Rumah Pintar Berbasis Raspberry Pi dan Chat Bot Telegram Muslimin, Zaenab; Wicaksono, Muhammad Arief; Fadlurachman, Muhammad Fandly; Ramli, Ilham
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Security Systems and Guest Monitoring Prototypes on smart doors Based on Raspberry Pi and Telegram Chat Bot. Current technology is developing so rapidly that it can be used to help people carry out daily tasks at home by designing devices that can be controlled remotely (remote control) so as to create a dream home with increased comfort and safety of residents. This study aims to design a tool for monitoring guests equipped with a security system using the Raspberry Pi microprocessor to process data to be sent to Telegram Chat Bot. Data sent to the Chat Bot Telegram will later be accessed by a smartphone in the form of a guest image taken by a raspberry pi camera. This tool has two modes namely the smart mode that is used to take pictures of guests when a guest presses the bell button and the safe mode is used to take pictures of people who are at the door automatically using a PIR sensor. The results showed that the PIR sensor with maximum sensitivity can detect objects well within a maximum distance of 5 m, the Raspberry Pi camera can take pictures with good quality up to 11m distance and testing on the Chat Bot runs well, all commands have been tested and provide information in the form reciprocal chatter. This prototype allows homeowners to see guests or people at the door through a smartphone in real time.

Sistem Deteksi Lubang pada Pedesterian dengan Teknik Pengolahan Citra Intan Sari Areni; Indrabayu Amirullah; Ingrid Nurtanio; Anugrayani Bustamin; Ahmad Rifaldi
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Pothole Detection System on Pedesterian using Image Processing Techniques. The pedestrian areas in Indonesia are still far from optimal in facilitating the users or the pedestrians. Potholed pedestrian areas are found in many parts of the street. This issue can harm pedestrians, especially blind people. For this reason, research has been carried out to create a system that can detect and estimate hole distances by processing images using mono cameras that can help blind people. The methods used to detect holes are the Threshold + Blob Analysis method and the HSV method. The obtained results indicate the level of accuracy of hole detection using the Threshold + Blob Analysis method is better than the HSV method. The average accuracy level of Threshold + Blob Analysis is 88.91%, while for the HSV method is 86.82%.

Sistem Deteksi Lubang pada Pedesterian dengan Teknik Pengolahan Citra Areni, Intan Sari; Amirullah, Indrabayu; Nurtanio, Ingrid; Bustamin, Anugrayani; Rifaldi, Ahmad
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Pothole Detection System on Pedesterian using Image Processing Techniques. The pedestrian areas in Indonesia are still far from optimal in facilitating the users or the pedestrians. Potholed pedestrian areas are found in many parts of the street. This issue can harm pedestrians, especially blind people. For this reason, research has been carried out to create a system that can detect and estimate hole distances by processing images using mono cameras that can help blind people. The methods used to detect holes are the Threshold + Blob Analysis method and the HSV method. The obtained results indicate the level of accuracy of hole detection using the Threshold + Blob Analysis method is better than the HSV method. The average accuracy level of Threshold + Blob Analysis is 88.91%, while for the HSV method is 86.82%.

Klasifikasi Kematangan Stroberi Berbasis Segmentasi Warna dengan Metode HSV Intan Sari Areni; Indrabayu Amirullah; Nurhikma Arifin
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Classification of Strawberry Maturity Based on Color Segmentation using HSV Method. Manual fruit maturity classification has many limitations because it is influenced by human subjectivity. Hence, the application of digital image processing and artificial intelligence becomes more effective and efficient. This study aims to create a classification system that automatically divides strawberry maturity into three categories, namely not ripe, half-ripe, and ripe. The process of identifying the level of fruit maturity is based on the color characteristics Red, Green, Blue (RGB) value of the image. The method used for color segmentation is Hue, Saturation, Value (HSV) and for the classification of strawberry maturity using the Multi-Class Support Vector Machine (SVM) algorithm with a Radial Basic Function (RBF) kernel. Strawberry image data was retrieved using the Logitech C920 camera. The dataset consisted of 158 images of strawberries. The results showed that the classification of strawberry maturity using the multi-class SVM algorithm with kernel parameters RBF cost (C) = 10 and gamma (γ) = 10-3 produced the highest accuracy of 97%.

Klasifikasi Kematangan Stroberi Berbasis Segmentasi Warna dengan Metode HSV Areni, Intan Sari; Amirullah, Indrabayu; Arifin, Nurhikma
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Classification of Strawberry Maturity Based on Color Segmentation using HSV Method. Manual fruit maturity classification has many limitations because it is influenced by human subjectivity. Hence, the application of digital image processing and artificial intelligence becomes more effective and efficient. This study aims to create a classification system that automatically divides strawberry maturity into three categories, namely not ripe, half-ripe, and ripe. The process of identifying the level of fruit maturity is based on the color characteristics Red, Green, Blue (RGB) value of the image. The method used for color segmentation is Hue, Saturation, Value (HSV) and for the classification of strawberry maturity using the Multi-Class Support Vector Machine (SVM) algorithm with a Radial Basic Function (RBF) kernel. Strawberry image data was retrieved using the Logitech C920 camera. The dataset consisted of 158 images of strawberries. The results showed that the classification of strawberry maturity using the multi-class SVM algorithm with kernel parameters RBF cost (C) = 10 and gamma (Î³) = 10-3 produced the highest accuracy of 97%.

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Faisal Mahmuddin

Contact Email
f.mahmuddin@gmail.com

Phone
+6285256472414

Journal Mail Official
jpe@unhas.ac.id

Editorial Address
Gedung Center of Technology (COT), Lantai 1 Kampus Fakultas Teknik Jalan Poros Malino km. 6 Bontomarannu, Gowa, Sulawesi Selatan

Location
Kota makassar,

Sulawesi selatan

INDONESIA

Abstract

Abstract

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Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Faisal Mahmuddin

Contact Email f.mahmuddin@gmail.com

Phone +6285256472414

Journal Mail Official jpe@unhas.ac.id

Editorial Address Gedung Center of Technology (COT), Lantai 1 Kampus Fakultas Teknik Jalan Poros Malino km. 6 Bontomarannu, Gowa, Sulawesi Selatan

Location Kota makassar, Sulawesi selatan INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Faisal Mahmuddin

Contact Email
f.mahmuddin@gmail.com

Phone
+6285256472414

Journal Mail Official
jpe@unhas.ac.id

Editorial Address
Gedung Center of Technology (COT), Lantai 1 Kampus Fakultas Teknik Jalan Poros Malino km. 6 Bontomarannu, Gowa, Sulawesi Selatan

Location
Kota makassar,

Sulawesi selatan

INDONESIA