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Jurnal RESISTOR (Rekayasa Sistem Komputer)
Published by STMIK STIKOM Indonesia
ISSN : 25987542     EISSN : 25989650     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Energy Engineering
Jurnal RESISTOR merupakan jurnal yang diterbitkan oleh Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK STIKOM Indonesia, dengan P-ISSN 2598-7542 dan E-ISSN 2598-9650. Jurnal RESISTOR diterbitkan pertama kali pada bulan Oktober 2017 dan memiliki periode penerbitan sebanyak dua kali dalam setahun, yaitu pada bulan April dan Oktober.
Arjuna Subject : -
Articles 129 Documents
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IMPLEMENTASI METODE LBS (LOCATION BASED SERVICE ) PADA PENCARIAN RUTE PANTI ASUHAN DI KOTA MAKASSAR Irawati
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 2 No. 1 (2019): Jurnal RESISTOR Edisi April 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v2i1.360

Abstract

Many people want to support the orphanage but still have difficulty getting accurate information about the orphanage and the location of the orphanage so they have to go to the social service office or by asking the community to get information about the local orphanage. This surely has an impact on the activities of donors who donates on a regular basis without knowing the conditions of other orphanages in the local area that are more likely to receive the donation. This application applies a Location Based Service (LBS) system that is able to detect the location of an orphanage, then can provide information services in accordance with the user's location. LBS is a location-based service, which is an internet-based service that is able to display position geographically from a smartphone or provide location information from the destined address. The aim of this research is to create an application that can provide information to donors through android about the location of orphanages in Makassar City with navigation features and display information related to orphanages to make it easier for donors to conclude which orphanages need more donations. This application can provide information for donors of android users to get convenience in finding and knowing the location of orphanages in the city of Makassar through an android mobile device to do donation activities.
RANCANG BANGUN ALAT KONVEYOR UNTUK SISTEM SOLTIR BARANG BERBASIS MIKROKONTROLER ARDUINO UNO I Made Niki Arijaya
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 2 No. 2 (2019): Jurnal RESISTOR Edisi Oktober 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v2i2.363

Abstract

Expedition delivery of goods very much Prepared by the people of Indonesia. in freight forwarding services in Indonesia has several expeditions in existence. One of them expedition TIKI, on TIKI expedition do sorting of goods which will be thrown to courier by way of worker will estimate width, height and weight of the goods. In this study made Conveyor Tool For System Sort Item that use arduino uno with load cell sensor and utrasonik sensor. On wide readings using two ultrasonic sensors that are placed on the outside of the place. And using one ultrasonic sensor measuring height and one heavy cell sensor load. At the same time in places where the sensor will read and afterwards the items will be brought by the conveyor and bar to the specified place. From the results of the study of goods in the pilah and take appropriate kereteria in the set.
PERANCANGAN DESAIN RUANGAN DATA CENTER MENGGUNAKAN STANDAR TIA-942: (STUDI KASUS : UPT SIMJAR STMIK STIKOM INDONESIA) I Dewa Putu Gede Wiyata Putra; Made Dona Wahyu Aristana
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 2 No. 1 (2019): Jurnal RESISTOR Edisi April 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v2i1.370

Abstract

The rapid development of information systems has an impact on increasing data storage and processing needs. Data center is a facility that consists of computer networks and storage used by other businesses or organizations to organize, process, store and disseminate large amounts of data. Data center UPT SIMJAR STIKI Indonesia has a small size of computer room, without backup power supply, space construction and security systems that are not ideal. As a result of these conditions, the process of service activities of UPT SIMJAR was disrupted. To overcome this problem, it is necessary to standardize the data center so that good data center criteria are formed, namely availability, scalability / flexibility and security. The method carried out in this design is to analyze the requirements listed in the TIA-942 standard, and proceed with the design in accordance with the required criteria. The purpose of this research is to produce a data center design that complies with the TIA-942 standard for UPT SIMJAR STIKI Indonesia.
ANALISIS KINERJA INTERNET OF THINGS BERBASIS FIREBASE REAL-TIME DATABASE I Nyoman Buda Hartawan; I Wayan Sudiarsa
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 2 No. 1 (2019): Jurnal RESISTOR Edisi April 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v2i1.371

Abstract

Internet of Things (IoT) technology makes it possible to monitor and control environmental conditions and electronic devices remotely via the internet. To be used as a monitoring and control tool, the IoT must be able to be operated in realtime. IoT must be able to provide information about an environmental condition and control electronic devices in real time. In this study a remote lighting control system was built using Firebase as a database that is able to turn on/off lights in realtime. The system is built using NodeMCU ESP8266 and android applications so that it is easier to implement on smartphones. The purpose of this study is to perform a performance analysis of firebase as a database that is able to update data in real time via the internet. Testing is done using various types of network connections such as 3G networks, 4G networks, and Local Area Networks (LANs). The test results show that Firebase supports the application of IoT that is capable of updating data in realtime, but the type of network connection used provides a varied delay effect. The average delay generated on 3G networks, 4G networks and LANs is 3.57 seconds, 1.42 seconds and 1.4 seconds.
MODEL ALGORITMA RESILIENT BACKPROPAGATION DALAM MEMPREDIKSI EKSPOR BIJIH COKLAT MENURUT NEGARA TUJUAN UTAMA DALAM MENDORONG LAJU PERTUMBUHAN EKONOMI Sundari Retno Andani Neno; Rafiqa Dewi Rafiqa; Solikhun Lihun
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 2 No. 2 (2019): Jurnal RESISTOR Edisi Oktober 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v2i2.383

Abstract

The purpose of this study predicts the export of brown ore according to the country the main objective in driving the pace of economic growth. Cocoa beans including plantation products are exported and are very profitable for Indonesia. However, the quality of cocoa beans exported by Indonesia is known to be low. The low quality of Indonesian cocoa is due to several reasons, including rare Indonesian cocoa beans which are fermented first. Indonesia is an exporter of cocoa beans. The government must be able to predict brown ore exports in the future so that the government can take steps or policies on how to make reliable strategies in an effort to increase the export of brown ore in the future. Backpropagation is one of the ANN models that has the ability to get a balance between the ability of the network to recognize patterns used during training and the ability of the network to respond correctly to input patterns that are similar (but not the same) to the patterns used during training. After a training experiment and testing of architectural models 12-4-1, 12-8-1, 8-12-1, and 8-16-1, the best architectural model was 12-12-1 with 100% accuracy.
PENERAPAN DATA MINING PADA JUMLAH PELANGGAN PERUSAHAAN AIR BERSIH MENURUT PROVINSI MENGGUNAKAN METODE K-MEANS CLUSTERING Lestari Sinaga; Abdullah Ahmad; Muhammad Safii
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 2 No. 2 (2019): Jurnal RESISTOR Edisi Oktober 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v2i2.418

Abstract

Water is one of the primary needs for humans so that everyone has the right to get clean water for their daily needs. Along with increasing population, the need for water will increase. So with that the PDAM must sell clean / decent water to its customers, clean water becomes the focus of attention and has the greatest power compared to other problems. Because water is a basic necessity, most of the companies impose rates that can be reached by the community and prices are adjusted to the growth in demand. The purpose of this research is to get a grouping of the number of customers of clean water companies in all provinces using the K-Means Algorithm, K-Means is a method for grouping data into a cluster by calculating the closest distance from a data to a centroid point. Clusters used are high level clusters (C1), medium level clusters (C2), and for low level clusters (C3). Centroid data obtained is for high-level clusters (C1) which are as many as 7710154, for medium-level clusters as much as 929586, and for low-level clusters as much as 112462. Based on the calculated data obtained high-level results, namely the province of Indonesia, for the medium level namely province North Sumatra, DKI Jakarta, West Java, Central Java and East Java, and other provinces are low levels. So that this result can be a support for the company in order to increase water needs.
PENANGANAN DATA MISSING VALUE PADA KUALITAS PRODUKSI JAGUNG DENGAN MENGGUNAKAN METODE K-NN IMPUTATION PADA ALGORITMA C4.5 Moch. Lutfi; Mochamad Hasyim
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 2 No. 2 (2019): Jurnal RESISTOR Edisi Oktober 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v2i2.427

Abstract

Corn is a staple crop for Indonesian people because most of his life is from the agriculture sector. To increase the productivity of corn, another thing to be aware of is looking at the quality of the corn products. Through empirical observation and observation, research explores and extracts data through the concept of data mining so that neglected data becomes useful. Thus determining the quality of corn production is an important task to help the farmers in determining the classification process. Missing value is a problem in maintaining a quality data. Missing value can be caused by several things, one of which is caused by an error at the time of data entry. Missing value will be a problem when the amount of data in large quantities, so it is very influential in the survey results. Therefore on this research proposed K-NN imputation method to handle missing value data. The results showed the accuracy of the C 4.5 algorithm classification process on the corn production dataset that experienced a missing value accuracy value of 92.90%. Whereas if done with special handling using the method K-NN imputation on the handling process missing value best value at k = 5 of 94.50% with this that the proposed method increases significantly.
ANALISA MANAGEMENT SISTEM PADA UNIVERSITAS MENGGUNAKAN COBIT Rizky Aditya Nugroho
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 2 No. 2 (2019): Jurnal RESISTOR Edisi Oktober 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v2i2.433

Abstract

In an environment where improvement initiatives are commonly run out simultaneously in all different parts of the system, many applied sciences are employed to address organizational problems. This results in competition between various departments within the same organization for infrastructure support, compliance needs, resource requirements, etc., and an inevitable waste of costs occur due to overlapping efforts, eroding the main objective of most organizations, namely cost reduction. This trouble can be abridged if the section works together to handle the landscape when it comes to implementing several technologies and processing models simultaneously. Furthermore, systems are required to possess a thoroughgoing discernment of the chosen IT framework and best exercises for carrying out this framework simultaneously. A common idea in all case studies is the behavioral challenges regarding resistance from employees. It has handled by appropriate change management. Another typical behavior is that all organizations only implement features of the IT framework that they consider more important rather than performing an IT framework holistically. Recommendations based on these key findings have been included in the mix of existing best practices meant to lead to the academic community.
KLASIFIKASI PENGENALAN BUAH MENGGUNAKAN ALGORITMA NAIVE BAIYES Arif Saputra
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 2 No. 2 (2019): Jurnal RESISTOR Edisi Oktober 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v2i2.434

Abstract

Manually sorting varieties of apples result in high costs, subjectivity, boredom, and inconsistencies associated with humans. A means is needed to distinguish between types of apples and, therefore, some reliable techniques are necessary to identify varieties quickly and without damage. The purpose of conducting research is to investigate the application and performance for Naive Bayes algorithm for apple varieties. This software methodology involves image acquisition, preprocessing, segmentation and analysis classification varieties for apple. The prototype of Apple's classification system was built using the MATLAB R2017 development platform environment. The results in this study indicate that the estimated average accuracy, sensitivity, precision, and specificity are 81%, 73%, 100%, and 70%, respectively. MLP-Neural shows that performance of the Naive Bayes technique is consistent with Principal, Fuzzy Logic, and Neural analysis with 89%, 91%, 87%, and 82% respectively in terms of accuracy. This study shows that Naif Bayes has excellent potential for identifying nondestructive and accurate apple varieties.
PERHITUNGAN DROP TEGANGAN SISTEM DISTRIBUSI MENGGUNAKAN METODE ALIRAN DAYA I Made Agus Mahardiananta; Putu Aries Ridhana Arimbawa; Dewa Ayu Sri Santiari
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 3 No. 1 (2020): Jurnal RESISTOR Edisi April 2020
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v3i1.453

Abstract

Drop tegangan merupakan peristiwa dimana saat pendistribusian tegangan listrik terjadi penurunan tegangan pada beberapa titik konsumen. besarnya tegangan yang diterima tidak sama dengan tegangan yang dikirim. Salah satu penyebab besarnya drop adalah bertambahnya beban listrik. RS X merupakan salah satu Rumah Sakit yang ada di pulau Bali. Rumah Sakit ini mulai dibangun pada tahun 1956 dan beroperasi sampai saat ini. Sudah dapat dipastikan dengan berkembangnya RS X kebutuhan akan energi listrik juga bertambah. Peralatan-peralatan yang menggunakan energi listrik sudah pasti juga mengalami peningkatan jumlah. Hal ini menyebabkan pada satu ruangan bisa mengalami kelebihan beban dibanding dengan ruangan lain yang menyebabkan ketidakseimbangan beban dan ini merupakan salah satu faktor penyebab dari drop tegangan. Metode yang digunakan dalam menghitung drop tegangan yaitu metode aliran daya (Load Flow), dalam metode ini digunakan software ETAP 16.0 untuk mendapatkan Nilai Drop Tegangan. Adapun hasil yang didapatkan setelah dilakukan perbaikan drop tegangan sesuai standar PLN 1:1978 dengan menambahkan kapasitor bank pada simulasi ETAP 16.0 pada Trafo 3 Powerhouse menjadi 0,9%, Trafo W1 menjadi 1,61%, Trafo1 Gerai1 menjadi 0,98%, Trafo2 Gerai1 menjadi 0,82%, Trafo1 Gerai2 menjadi 0,27%, Trafo2 Gerai2 menjadi 1,52%, Trafo1 Gerai3 menjadi 1,31%, Trafo1 Gerai5 menjadi 1,68%, Trafo2 Gerai5 menjadi 1,04%, Trafo3 Gerai5 menjadi 1,04%, Trafo1 Gerai4 menjadi 1,52%, dan Trafo3 Gerai4 menjadi 1,33%.

Page 7 of 13 | Total Record : 129

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