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Ahmad Turmudi Zy
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Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan
Published by Universitas Pelita Bangsa
ISSN : 2301475X     EISSN : 26567059     DOI : https://doi.org/10.37366/pelitatekno
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT
The journal focused on original research, theoretical and review paper discussing a wide range of trans-disciplinary studies on technology, that include: - Environmental Sciences - Environmental Engineering - Architecture - Informatics Engineering - Informatic Technology - Applied Technology and related field - Geographic Informatic System
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 9 Documents
 1 
Search results for , issue "Vol 16 No 1 (2021): Maret 2021" : 9 Documents clear
Pengembangan Agrowisata Taman Buah Muara Teweh, Kabupaten Barito Utara, Kalimantan Tengah Windi Windi; Akhmad Akromusyuhada
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Maret 2021
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.563 KB) | DOI: 10.37366/pelitatekno.v16i1.670

Abstract

Pengembangan pariwisata menjadi salah satu sektor yang mendapat prioritas tinggi di berbagai negara. Salah satu sektor pariwisata di Indonesia yang potensial untuk dikembangkan adalah agrowisata. Agrowisata merupakan diversifikasi produk wisata yang menggabungkan aktivitas pertanian (agro) dan rekreasi di sebuah lingkungan pertanian. Agrowisata juga memberi peluang wisatawan untuk terlibat dalam aktivitas rekreasi pedesaan untuk memperluas pengetahuan, pengalaman rekreasi dan hubungan usaha di bidang agro. Lokasi pengembangan terletak di Muara Teweh, Kabuaten Barito Utara, Provinsi Kalimantan Tengah. Wilayah ini memiliki beberapa sektor pariwisata yang potensial untuk dikembangkan, salah satunya adalah Taman Buah Muara Teweh. Ditunjang dengan karakteristik wilayah yang berada di daerah pegunungan dengan dikelilingi pemandangan berupa perbukitan dan areal pertanian serta perkebunan. Gagasan untuk mengembangkan Taman Buah Muara Teweh untuk meningkatkan daya tarik alami sebagai sarana rekreasi yang dikembangkan dengan basis konservasi dan penelitian untuk mengintegrasikan aspek wisata, pertanian, perkebunan, perindustrian dengan ilmu pengetahuan, dengan tujuan untuk mengembangkan sektor pariwisata di Kabupaten Barito Utara. Konsep pengembangan tapak yang direncanakan pada Taman Buah Muara Teweh adalah Agroedutainment yang memadukan unsur edukasi dan hiburan, mandiri energi, dan zero waste management. Konsep ini mengutamakan unsur alam sebagai dasar perancangan, memberikan ketenangan, kebersihan, dan kenyamanan. Unsur-unsur tersebut tidak hanya dihadirkan pada bangunan pelengkap saja, melainkan pada ruang luar atau lingkungan dan site. Dengan unsur arsitektur organik, kawasan agrowisata yang dikembangkan tidak hanya sekedar ada, tetapi juga dapat menjadi tujuan wisata yang unik dan menarik bagi wisatawan.
Pengujian Akurasi Data Potensi Kepuasan Pelanggan Kereta Commuterline (KRL) Dengan Algoritma C4.5 al fiyan; Muhamad Fatchan; Irfan Afriantoro; Putri Anggun Sari; Endah Yaodah Kodratilah
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Maret 2021
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (312.129 KB) | DOI: 10.37366/pelitatekno.v16i1.308

Abstract

PT. KAI Commuter line (KRL) is a transportation service provider that was founded in 2008. There are many ways that transportation service companies can win the competition, including by increasing transportation customer satisfaction. This study aims to analyze the potential for KRL customer satisfaction by using data mining techniques with the C4.5 algorithm. The research instrument obtained data in the form of a questionnaire, the attributes of potential customer satisfaction in this study included price, facilities, services, and loyalty. This study uses 2 scales, namely the nominal scale in the form of codes or labels, and the interval scale in the form of weights in the answers to questions. In this study, the results obtained from several attributes produce a cause-and-effect relationship in classifying satisfied and dissatisfied customers. This research is hoped to be able to help the KRL party in increasing customer satisfaction to retain customers and increase the profit of the KRL company. The classification results using the C4.5 algorithm obtained an accuracy of 91.67%, which indicates that the C4.5 algorithm is suitable for measuring the potential for KRL customer satisfaction..
Implementasi Algoritma Naïve Bayes Dalam Mendiagnosa Penyakit Angin Duduk Ahmad Turmudi Zy; Lutfi Adji Ardiansyah; Donny Maulana
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Maret 2021
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (598.183 KB) | DOI: 10.37366/pelitatekno.v16i1.669

Abstract

Angina or wind sitting disease is chest pain caused by reduced blood flow to the heart, making it a severe pain in the left chest area and can radiate to the left shoulder and followed by breathless. The risk of a person experiencing sitting winds includes entering old age, having a family history of heart disease, hypertension, smoking and other medical conditions. Sitting wind disease can potentially lead to heart attacks if not treated properly. This study aims to determine the level of accuracy and the effect of the Naive Bayes algorithm on the sitting wind data used in this study. As well as getting information about accuracy, precision and recall that can be obtained when testing data using the Naïve Bayes algorithm. Data processing using the RapidMiner tool, the dataset used in this study is divided into 80% training data and 20% testing data. The results of this study stated that the accuracy rate is 87.50%, precision is 94.12%, and the recall is 80%. Based on the research conducted, it can be concluded that the process of determining the status of sitting wind patients using the Naïve Bayes algorithm has good accuracy in this study.
Perbandingan Dalam Memprediksi Penyakit Liver Menggunakan Algoritma Naïve Bayes Dan K-Nearest Neighbor al fiyan; Muhamad Fatchan; Nanang Tedi Kurniadi; Edy Widodo
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Maret 2021
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (292.728 KB) | DOI: 10.37366/pelitatekno.v16i1.309

Abstract

Along with the rapid development of information technology, and also the increasing need for information in various fields including health sector. Based on data from the World Health Organization (WHO), chronic hepatitis B attacks 300 million people in the world including Southeast Asia and Africa which causes the death of more than 1 million people each year. So far, a lot of data in the hospital has not been used, even though this data can be used to predict liver disease if used. The purpose of this study was to determine the comparison of the accuracy value of the Naïve Bayes algorithm and K-Nearest Neighbor. One of the classifications is to use the Naïve Bayes and K-Nearest Neighbor algorithms and use the Rapid Miner tools in the tests used. The results of this study indicate that the Naïve Bayes algorithm has a higher accuracy rate of 84.00% in diagnosing liver disease compared to the K-Nearest Neighbor algorithm which only gets a value of 80.57%. From this research it can be concluded that the Naïve Bayes algorithm is 3.43% greater than K-Nearest Neighbor.
Studi Optimalisasi Suhu Pada Proses Pirolisis Sampah Plastik Jenis LDPE (Low Density Polyethylene) Nisa Nurhidayanti; Putri Anggunsari; Sofianti Sofianti
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Maret 2021
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.484 KB) | DOI: 10.37366/pelitatekno.v16i1.660

Abstract

Plastik LDPE merupakan salah satu jenis plastik sintetis yang sulit terurai di lingkungan. Proses pirolisis sampah plastik merupakan proses dekomposisi senyawa organik yang terdapat dalam plastik melalui proses pemanasan dengan sedikit atau tanpa melibatkan oksigen. Pada proses pirolisis senyawa hidrokarbon rantai panjang yang terdapat pada plastik dapat diubah menjadi senyawa hidrokarbon rantai pendek dan dapat dijadikan sebagai bahan bakar alternatif. Penelitian ini bertujuan untuk mengetahui pengaruh suhu terhadap perolehan minyak hasil pirolisis, mengetahui pengaruh suhu dan jenis plastik terhadap sifat fisik dan sifat kimia dari minyak hasil pirolisis. Pirolisis sampah plastik ini dilakukan dengan umpan yaitu sampah plastik jenis LDPE (Low Density Polyethlene). Proses pirolisis dilaksanakan selama 60 menit dengan variasi suhu 200°C, 300°C, 400°C, 500°C dan 600°C. Minyak hasil pirolisis terbanyak dari sampah plastik LDPE diperoleh pada suhu operasi 600°C sebanyak 90 ml. Viskositas minyak hasil pirolisis mendekati nilai viskositas dari bensin. Densitas minyak hasil pirolisis mendekati nilai densitas dari solar dan minyak tanah. Nilai kalor minyak hasil pirolisis mendekati nilai kalor dari solar dan minyak tanah.
Pelestarian Bangunan Arsitektural Kolonial Belanda di Kawasan Kotabaru, Yogyakarta Ahmad Aguswin; Akhmad Akromusyuhada
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Maret 2021
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (630.776 KB) | DOI: 10.37366/pelitatekno.v16i1.681

Abstract

This study aims to identify building characteristics from architectural periodization based on physical appearance and visual appearance on a micro (regional) scale in the Kotabaru area, Yogyakarta. This area is part of the City of Yogyakarta which developed the concept of Planned Development City in several cities in Indonesia which had functions and roles in the structure of the Dutch colonial government. Furthermore, the characteristics of this building become a reference for preserving colonial buildings as a form of building conservation based on the classification results of type, structure, and condition of the building. The method used in this study is descriptive-qualitative, with components forming the visual appearance of the area as the unit of analysis. The visual appearance of the area is analyzed within the scope of the area (urban space) with a typological approach to buildings and urban spaces designed by Karstens in the Kotabaru area. The building facade as one of the components forming the visual appearance is discussed as a unitary mass and the shape of the building that forms the urban corridor wall in the Kotabaru area.
Penerapan Sistem Pakar Berbasis Android Dengan Metode Decision Tree Untuk Memprediksi Postpartum Haemorrhage Pada Wanita Hamil Wiyanto W; Mutiara Ihdina Maulida; Sifa Fauziah
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Maret 2021
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.526 KB) | DOI: 10.37366/pelitatekno.v16i1.667

Abstract

Postpartum haemorrhage factor is a contributor to the Maternal Mortality Rate (MMR) 19.7% in the range 12.9 - 28.9 with 480,000 deaths worldwide and 479,000 from developing countries such as Indonesia. In Indonesia the MMR is 305/100,000 Live Births (LB) of the Millennium Development Goals (MDGs) target of only 102/100,000 LB. To achieve the MDGs target, the MMR needs to be lowered, then formulated the problem of how to make an Android-based expert system using the decision tree method so that it can predict Postpartum Haemorrhage from an early age. With the aim of being able to produce an Android-based expert system to predict Postpartum Haemorrhage, so that cases of death caused by Postpartum Haemorrhage receive medical attention from an early age. The expert system makes predictions from logic in an Android-based program using the SDLC structured design system design method and a parallel development model. This logic has gone through the process of classifying a dataset using the Decision Tree method manually and using Rapid Miner. The Decision Tree logic produces three statements of PPH, NO PPH and Potential PPH which are entered using the Java programming language on Android to become an expert system. Pregnant women with predicted PPH and Potential PPH from the expert system can consult a doctor to get the medical personnel they need early to prevent maternal death caused by Postpartum Haemorrhage.
Implementasi Algoritma K-Means Dalam Mengkategorikan Produk Terlaris Dan Kurang Laris Pada Toko Alfamart Cikarang Ismasari Nawangsih; Reza Puspita; Suherman Suherman
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Maret 2021
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.789 KB) | DOI: 10.37366/pelitatekno.v16i1.674

Abstract

Availability of goods and completeness of goods in a shop are very importand elements. This is necessary to avoid the accumulation of the same and less desirable goods. This study aims to see the buyer’s interest in a product so that we can ensure the supply and information of the salable or unsold products. The method used in grouping these products use datamining with the K-Means Clustering method so that the best-selling products can be identified. Product data are grouped based on the similarity of the data so that data same value will be in one cluster. Cluster 1 is a product with a slow moving product and with a central point (18.41 10.43) while Cluster 2 is a product with fast stoct movement or fast moving. Product with a center point (44.69 116.00). With the existence of a product stock cluster with each level of stock movement owned, it is posisible to make a reference in predicting produckt supply according to their needs. The test carried out in this research is black box testing. Keywords: Data Mining, K-Means, Cluster, Product
Pemanfaatan Energi Panas Hasil Pembakaran Sampah Tanpa Asap Sebagai Pembangkit Listrik Alternatif Berskala Kecil Menggunakan Termoelektrik Dodit Ardiatma; Putri Anggunsari
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Maret 2021
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.85 KB) | DOI: 10.37366/pelitatekno.v16i1.310

Abstract

Along with the rapid development of information technology, and also the increasing need for information in various fields including health sector. Based on data from the World Health Organization (WHO), chronic hepatitis B attacks 300 million people in the world including Southeast Asia and Africa which causes the death of more than 1 million people each year. So far, a lot of data in the hospital has not been used, even though this data can be used to predict liver disease if used. The purpose of this study was to determine the comparison of the accuracy value of the Naïve Bayes algorithm and K-Nearest Neighbor. One of the classifications is to use the Naïve Bayes and K-Nearest Neighbor algorithms and use the Rapid Miner tools in the tests used. The results of this study indicate that the Naïve Bayes algorithm has a higher accuracy rate of 84.00% in diagnosing liver disease compared to the K-Nearest Neighbor algorithm which only gets a value of 80.57%. From this research it can be concluded that the Naïve Bayes algorithm is 3.43% greater than K-Nearest Neighbor.

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