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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Jurnal Sistem Informasi (JSI)
Pahlevi, Omar
www.bsi.ac.id
Computer Science & IT Decision Sciences, Operations Research & Management Environmental Science Social Sciences

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Application of Expert System for Diagnosing Diseases Cocoa Plants Using the Forward Chaining Algorithm Method Pahlevi, Omar; Atmojo, Muhamad Kusumo
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.614 KB) | DOI: 10.33395/sinkron.v4i2.10481

Abstract

Cacao plants originated from South America, then spread to North America, Africa and Asia. In Indonesia, cocoa has been known since 1560, but has become an important commodity since 1951. Cacao commodity plays an important role in the national economy and is a national mainstay commodity. This shows that cocoa is one of the results of plantation commodities that have a high economic value and play an important role as a source of foreign exchange through exports, as well as encouraging the regional economy, especially in rural areas. But behind the high value of cocoa production, there are problems faced, including the low quality of cocoa in Indonesia because cocoa plantations in Indonesia are threatened by pests and plant diseases. Lack of information that is known by the plantation and cocoa farmers about the types of diseases that attack cocoa plants, causing many cocoa plants that are not handled properly. If this is allowed to continue it will impact on the declining quality and production of cocoa plants. Current advances in information technology, especially cellular phones, can be used as a means to improve public services, one of the results of the development of cellular technology is the birth of cellular phones with the android operating system. In this research produced if the symptoms data entered could not find the type of cocoa plant disease because the input data did not match any disease data in the database, the system would display the word "Can not find the disease you are looking for because it is not related to fruit rot disease, stem cancer, vascular antraknosem, streak dieback, upas fungus and root fungus ". From the data of symptoms, diseases and relations above, the algorithm is depicted using a decision tree. Decision tree is a picture of tracking symptoms, determining the disease and concluding results in the form of a solution. In this application, using the Forward Chaining method so that tracking begins with the selection of symptoms experienced then the results of the diagnosis in the form of cocoa plant diseases.
The RPTRA Geographic Information System Application in Central Jakarta City Using the Dijkstra Algorithm Based on Android Sugiharja, Danur; Pahlevi, Omar; Widyastuti, Reni
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 3 No 2 (2019): SinkrOn Volume 3 Number 2, April 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (238.114 KB) | DOI: 10.33395/sinkron.v3i2.10043

Abstract

Child Friendly Integrated Public Space or also known by the abbreviation RPTRA is the concept of public space in the form of green open spaces or parks that are equipped with various interesting games. Currently RPTRA is already widely available in all DKI Jakarta, especially in Central Jakarta, but there are still many people who do not know the location of the location of RPTRA. The dijkstra algorithm applied to this Android-based RPTRA geographic information system application in the City of Central Jakarta is to use google maps as a navigation map, where the Algorithm: {When users select the Map menu in the main menu, users will see maps and points of all RPTRA locations in Central Jakarta City, select one of the RPTRA location points, after the user selects one RPTRA location point, select the image on the right bottom route, then the user will go to google maps to get the route to the selected RPTRA. } The location of RPTRA directly takes coordinates at each RPTRA located in Central Jakarta City. The results achieved in testing the application went well able to provide accurate data on the location points of RPTRA in Central Jakarta.
Penerapan Algoritma Apriori Dalam Pengendalian Kualitas Produk Pahlevi, Omar; Sugandi, Anton; Sintawati, Ita Dewi
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 3 No 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.113 KB)

Abstract

Penelitian ini dilakukan untuk mengetahui defect apa saja yang sering muncul pada proses injection dan kombinasi item defect apa saja yang sering terjadi, untuk melakukan pengendalian kualitas produk yang bersangkutan. Metode analisis yang digunakan adalah analisis kuantitatif dengan menggunakan metode algoritma apriori yang dapat mengelola nilai input yang sesuai dengan kriteria-kriteria pada item yang mempunyai nilai support dan confidence tertentu dengan perhitungan RapidMiner. Algoritma apriori merupakan salah satu algoritma dalam data mining yang dapat digunakan dalam association rule untuk menentukan frequent itemset yang berfungsi untuk membantu menemukan pola dalam sebuah data. Dengan menggunakan algoritma apriori, dapat menghasilkan pola kombinasi sebanyak 17(tujuh belas) rules dengan nilai support sebesar 70% dan nilai confidence tertinggi dari 17(tujuh belas) rules tersebut sebesar 93% yang terdapat dalam rule Lock Broken → Disscolour.
Disaster Information on Mobile Application in Indonesia Using Sequential Search Algorithms Based On Android Bachtiar, Dimas Agung; Pahlevi, Omar; Santoso, Tri
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (214.773 KB) | DOI: 10.33395/sinkron.v4i1.10147

Abstract

Indonesia has 28 regions in the Republic of Indonesia Archipelago which are declared as areas prone to tectonic earthquakes, volcanoes and tsunamis. Among these are NAD, North Sumatra, West Sumatra, Bengkulu, Lampung, Banten, Central Java, and DIY in the south, East Java in the south, Bali, NTB, and NTT. Based on these facts, it can give an idea that the South East Java Province in particular has a high level of vulnerability when compared to other islands, when viewed from the total population density. Disasters can occur anytime and anywhere so people need to increase awareness, awareness, and preparedness, which is most at risk during the emergency response phase, where in that phase the situation is very conducive and the increasing hoaxes about data and information on disasters that spread in the community, along with the development of technological advancements, we need a mobile application that can provide the latest data and information routinely in the community. Referring to the design of mobile application designs that have been designed, in this study using the sequential algorithm method. With the sequential algorithm in this design, users can easily use this Android-based disaster information application, just by entering the keywords in the year of the disaster event, the location will be searched. The purpose of making this mobile application is to be able to provide data and information about disasters in Indonesia to all elements of society effectively and efficiently.
Data Mining Penentuan Aturan Asosiasi Penjualan Makanan di Amaria Hotel Jakarta Menggunakan Algoritma Apriori Pahlevi, Omar
Jurnal Sistem Informasi Vol 7 No 2 (2018): Vol VII No.2 Agustus 2018
Publisher : STMIK ANTAR BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.01 KB)

Abstract

Abstract—In order to know what foods and drinks purchased by consumers, can be done with analytical techniques that is the analysis of consumer buying habits. Detection of food and beverages that are often purchased simultaneously is done using association rules. In this research will be used a priori algorithm for determination of association rules of sale of food and beverage. From the results of the discussion and data analysis conducted can be concluded that with the application of a priori algorithm in determining the combination between itemsets with a minimum of 20% support and minimum confidence 75% found 10 association rules, which has the highest value of support and confidence is if consumers make rice purchase transactions fried seafood and bottle aqua simultaneously with the value of 69% support and 100% confidence value. Thus, if there are consumers buying seafood fried rice, then the possibility of the consumer is buying a bottle aqua is 100%. Intisari—Agar dapat mengetahui makanan dan minuman apa saja yang dibeli oleh para konsumen, dapat dilakukan dengan teknik analisis yaitu analisis dari kebiasaan membeli konsumen. Pendeteksian mengenai makanan dan minuman yang sering dibeli secara bersamaan dilakukan dengan menggunakan aturan asosiasi. Pada penelitian ini akan digunakan algoritma apriori untuk penentuan aturan asosiasi penjualan makanan dan minuman. Dari hasil pembahasan dan analisis data yang dilakukan dapat disimpulkan bahwa dengan penerapan algoritma apriori dalam menentukan kombinasi antar itemset dengan minimum support 20% dan minimum confidence 75% ditemukan 10 aturan asosiasi, dimana yang memiliki nilai support dan confidence tertinggi adalah jika konsumen melakukan transaksi pembelian nasi goreng seafood dan aqua botol secara bersamaan dengan nilai support 69% dan nilai confidence 100%. Dengan demikian, jika terdapat konsumen membeli nasi goreng seafood, maka kemungkinan konsumen tersebut membeli aqua botol adalah 100%. Kata kunci: data mining, algoritma apriori, aturan asosiasi, support, confidence
Data Mining Model For Designing Diagnostic Applications Inflammatory Liver Disease Pahlevi, Omar; Amrin, Amrin
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10589

Abstract

Hepatitis is an infectious disease that is a public health problem that affects morbidity, mortality, public health status, life expectancy, and other socio-economic impacts. Early diagnosis of hepatitis is very important so that it can be treated and treated quickly. In this study, the authors will apply and compare several data mining classification methods, including the C4.5 algorithm, Naïve Bayes, and k-Nearest Neighbor to diagnose hepatitis, then compare which of the three methods is the most accurate. Based on the results of measuring the performance of the three models using the Cross Validation, Confusion Matrix and ROC Curve methods, it is known that the C4.5 method is the best method with an accuracy of 70.99% and an under the curva (AUC) value of 0.950, then the k-Nearest Neighbor method with accuracy of 67.19% and the value under the curve (AUC) 0.873, then the naïve Bayes method with an accuracy rate of 66.14% and a value under the curve (AUC) of 0.742.
Penerapan Manajemen Pendidikan Berbasis Kurikukum 2013 di SMK Tanjung Priok 1 Jakarta Pahlevi, Omar; Widyastuti, Reni
Perspektif : Jurnal Ekonomi dan Manajemen Akademi Bina Sarana Informatika Vol 16, No 2 (2018): September 2018
Publisher : www.bsi.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.334 KB) | DOI: 10.31294/jp.v16i2.3948

Abstract

 Organisasi sekolah membutuhkan manajemen yang baik untuk kelangsungan operasionalnya. SMK Tanjung Priok 1 Jakarta merupakan sekolah yang berdiri dari tahun 1973. Penelitian ini bertujuan untuk mendeskripsikan dan menganalisis: (1) manajemen kurikulum dan pembelajaran; (2) Manajemen siswa; (3) Manajemen pendidik dan tenaga kependidikan; (4) Pengelolaan sarana dan prasarana; (5) Pengelolaan pembiayaan di SMK Tanjung Priok 1 Jakarta. Metode penelitian menggunakan pendekatan deskriptif kualitatif. Teknik pengumpulan data dilakukan dengan wawancara, dokumentasi dan observasi. Hasil dari penelitian ini adalah: 1. Manajemen kurikulum 2013 dan pembelajaran di SMK Tanjung Priok 1 Jakarta dilaksanakan dengan menggunakan fungsi manajemen. 2. Manajemen siswa berjalan dengan baik. 3. Manajemen pendidik dan tenaga kependidikan telah dilaksanakan baik berdasarkan fungsi manajemen. 4. Fasilitas dan manajemen infrastruktur sesuai dengan standar manajemen. 5. Manajemen Pembiayaan dikelola dalam akuntabilitas.
Co-Authors Amrin Amrin Atmojo, Muhamad Kusumo Bachtiar, Dimas Agung Ita Dewi Sintawati Reni Widyastuti Sugandi, Anton Sugiharja, Danur Tri Santoso