Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Lontar Komputer [ISSN Print 2088-1541] [ISSN Online 2541-5832] is a journal that focuses on the theory, practice, and methodology of all aspects of technology in the field of computer science and engineering as well as productive and innovative ideas related to new technology and information systems. This journal covers research original of paper that has not been published and has been through the double-blind reviewed journal. Lontar Komputer published three times a year by Research institutions and community service, University of Udayana. Lontar Komputer already indexing in Scientific Journal Impact Factor with impact Value 3.968. Lontar Komputer already indexing in SINTA with score S2 and H-index 5.
Articles
214 Documents
<![CDATA[Performance Improvement of Water Temperature Control using Anti-windup Proportional Integral Derivative ]]>
<![CDATA[Agung Surya Wibowo]]>;
<![CDATA[Erwin Susanto]]>
<![CDATA[ Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 9, No. 2 August 2018 ]]>
Publisher : <![CDATA[Institute for Research and Community Services, Udayana University ]]>
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DOI: 10.24843/LKJITI.2018.v09.i02.p03
<![CDATA[In this research, the controller was implemented in water temperature control system. This system has delay and saturation effect that caused instability problem in system. One of the effects occurred was windup effect. So, the implementation of controller needs to add anti-windup system. This paper described the comparison between 2 methods of controller design, conventional PID method and PID with Anti-Windup method. The conventional PID method resulted the system that was hardly to achieve the steady state condition. This was caused by windup effect as the system get saturation. The integrator part in PID will get bigger. The solution to fix this instability problem was by using the PID with Anti-Windup. The result of experiment showed that the output response from the control system with the anti-windup PID has a more stable than that of the conventional PID]]>
<![CDATA[Fuzzy Simple Additive Weighting Method in the Decision Making of Human Resource Recruitment ]]>
<![CDATA[Budi Prasetiyo]]>;
<![CDATA[Niswah Baroroh]]>
<![CDATA[ Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 7, No. 3 Desember 2016 ]]>
Publisher : <![CDATA[Institute for Research and Community Services, Udayana University ]]>
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DOI: 10.24843/LKJITI.2016.v07.i03.p05
<![CDATA[The Company is one of the jobs that was founded to reduce unemployment. The progress of a company is determined by the human resources that exist within the company. So, the selection of workers will join the company need to be selected first. The hardest thing in making a selection factor is the effort to eliminate the subjectivity of the personnel manager so that every choice made is objective based on the criteria expected by the company. To help determine who is accepted as an employee in the company, we need a method that can provide a valid decision. Therefore, we use Fuzzy Multiple Attribute Decision Making with Simple Additive Weighting method (SAW) to decide to make in human resource recruitment. This method was chosen because it can provide the best alternative from several alternatives. In this case, the alternative is that the applicants or candidates. This research was conducted by finding the weight values for each attribute. Then do the ranking process that determines the optimal alternative to the best applicants who qualify as employees of the company. Based on calculations by the SAW obtained the two highest ranking results are A5 (alternative 5) and A1 (alternative 1), to obtain two candidates received.]]>
<![CDATA[Rancang Bangun Aplikasi Pendeteksi Tipe Dan Nilai Resistor Berbasis Android ]]>
<![CDATA[I Putu Pratama Andika]]>;
<![CDATA[I Putu Agung Bayupati]]>;
<![CDATA[Ni Kadek Ayu Wirdiani]]>
<![CDATA[ Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 6, No.1 April 2015 ]]>
Publisher : <![CDATA[Institute for Research and Community Services, Udayana University ]]>
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<![CDATA[Android can be identified as the phone with the ability a high degree resembling computer, by making use of technological progress, an error in the determination of type and value of obstruction from resistors led a series of electronics result of the damage can be avoided, this is because of a resistor having the function of as parapet an electric current or as voltage divider of the series, detection so that the application of type and value of resistor able to contribute to the introduction of a resistor, by using processing tecnology digital image that is a method of hsv ( hue saturation value ). Hsv useful as a limit of a color become a reference of the rings of color resistor, by applying this method application can do the introduction of against resistors diinputkan, to then give them the information relating to a type and value of a resistor. It has the percentage research success in the introduction of the value and type resistor by 57 %, to misidentified 30 % and not being recognized of 13 % .]]>
<![CDATA[Identifikasi Komentar Spam Pada Instagram ]]>
<![CDATA[Antonius Rachmat Chrismanto]]>;
<![CDATA[Yuan Lukito]]>
<![CDATA[ Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 8, No. 3 Desember 2017 ]]>
Publisher : <![CDATA[Institute for Research and Community Services, Udayana University ]]>
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DOI: 10.24843/LKJITI.2017.v08.i03.p08
<![CDATA[Spam on Instagram (IG) is generally a comment that is considered as irritating because it does not relate to the photos or videos which were commented. Spam on comment section can cause some negative impacts such as making it difficult to follow the discussion on the posted status and making someone’s photo or video looks very popular, commented by a lot of followers despite the fact that most of the comments are actually spam. This research tries to build a model that can identify spam comments on IG. The comment on IG is in text format, so in this research, we use text processing methods. We use Support Vector Machine (SVM) for spam identification. The comment data used in this study were collected from Indonesian actors and artists who are the most followed accounts in IG. We have tested the spam identification model using SVM method resulted in 78.49% of accuracy. This result is better than the baseline model using NB method (77.25%). This research also tested some of the different training data proportions and SVM remains better than NB. Another result of this research are some adaptations needed for preprocessing and stemming stages that must be customized to support Unicode characters and unique symbols that commonly found in IG comments section.]]>
<![CDATA[SISTEM MONITORING SPESIFIKASI DAN UTILITAS HOST DI JARINGAN KOMPUTER BERBASIS WEB ]]>
<![CDATA[I Nyoman Piarsa]]>;
<![CDATA[Putu Bayu Suda Togantara]]>
<![CDATA[ Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 3, No. 2 Desember 2012 ]]>
Publisher : <![CDATA[Institute for Research and Community Services, Udayana University ]]>
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<![CDATA[Sistem monitoring spesifikasi dan utilitas menggunakan protocol SNMP untuk melakukanpengkoleksian data dari host. Sistem ini merupakan sistem monitoring berbasis web yang dapatmelakukan monitoring terhadap spesifikasi hardware seperti CPU resources, memoryresources, job progress, running proses serta kapasitas hardisk. Sistem juga menyediakanfasilitas power control yang berfungsi untuk mematikan maupun merestart host yangdimonitoring dan fasilitas manajemen proses yang digunakan untuk melihat dan mematikanproses apa saja yang sedang berjalan pada host.]]>
<![CDATA[Chunking Phrase to Predict Pause Break in Pontianak Malay Language ]]>
<![CDATA[Arif Bijaksana Putra Negara]]>;
<![CDATA[Yulia Magdalena]]>;
<![CDATA[Rudy Dwi Nyoto]]>;
<![CDATA[Herry Sujaini]]>
<![CDATA[ Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 10, No. 3 December 2019 ]]>
Publisher : <![CDATA[Institute for Research and Community Services, Udayana University ]]>
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DOI: 10.24843/LKJITI.2019.v10.i03.p01
<![CDATA[Pause break is one of the indicators of speech to be easily understood in the Text-to-Speech System. This research aims to improve the accuracy of pause prediction in Pontianak Malay Language Sentences based on earlier research using a chunking phrase. This research is done as one of the efforts to preserve Pontianak Malay Language in order not to become extinct as a local language. Chunking method uses RegexpParser function in Natural Language Toolkit to crop sentences into phrases based on the Part of Speech type. In this research, the authors have developed a new grammar and pause break rule that is different from the earlier research to increase the accuracy of pause prediction. The data used is 500 Pontianak Malay Language sentences that have been recorded by a Pontianak Malay Language native speaker to get the pause break analysis. The pause consists of a short pause (symbolized as “/1) and a long pause (symbolized as “/2”). The tests were a test of pause break compatibility in one sentence and a test using f-measure, recall, and precision parameters. Based on the tests that have been done, the new grammar rule and pause break rule from this research have a better prediction accuracy than the earlier research with the correct predictive value of sentences increasing by 23% from the earlier rule.]]>
<![CDATA[Perancangan Sistem Informasi Parkir dengan WiFi Berbasis Arduino ]]>
<![CDATA[Novi Yulianto]]>;
<![CDATA[Fahraini Bacharuddin]]>
<![CDATA[ Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 7, No. 3 Desember 2016 ]]>
Publisher : <![CDATA[Institute for Research and Community Services, Udayana University ]]>
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DOI: 10.24843/LKJITI.2016.v07.i03.p01
<![CDATA[Now the need for access to information is very important because the information obtained can specify or provide comfort and ease in performing daily activities. One example is to use gadgets such as smartphones, notebooks, tablets and others, we can easily find out information directly without having to come to the venue. This system aims to design information systems in the parking lot. This technology can provide an idea of ??the amount of available parking spots has been filled or empty. By accessing the IP address given earlier, then we will know the availability of parking space directly. From the test results, it can be said that this system has the advantages of easy to use, the application is simple and can help improve the comfort / convenience for users of the car park. But this system also has the disadvantage of a webserver which is used has a very small memory that can not be accessed by many concurrent users in one time.]]>
<![CDATA[IDENTIFIKASI BIOMETRIKA TELAPAK TANGAN MENGGUNAKAN METODE POLA BUSUR TERLUKALISASI, BLOCK STANDAR DEVIASI, DAN K-MEANS CLUSTERING ]]>
<![CDATA[Dwi Rusjayanthi]]>
<![CDATA[ Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 4, No. 2 Agustus 2013 ]]>
Publisher : <![CDATA[Institute for Research and Community Services, Udayana University ]]>
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<![CDATA[Sistem identifikasi biometrika telapak tangan merupakan sistem pengenalan diri otomatis dengan teknologi komputer. Keperluan keamanan yang handal pada beberapa aplikasi seperti kartu identitas nasional, kontrol akses, menjadi alasan pengembangan sistem identifikasi biometrika. Telapak tangan digunakan untuk pengenalan biometrikakarena memiliki karakteristik yang unik, mudah diakuisisi, sulit dipalsu, dan cenderung stabil. Ekstraksi ciripada penelitian ini menggunakan metode pola busur terlokalisasi, metode block standar deviasi, ataupun kombinasi kedua metode. Metode yang juga diterapkan yaitu metode block dan k-means.Pengujian sistem identifikasi ini menggunakan 750 sampel telapak tangan milik 150 orang, dengan 3 sampel acuan dan 2 sampel uji. Tingkat akurasi mencapai 94%, yang diperolehmenggunakan metode kombinasi ternormalisasi dengan scaling dan koefisien pengali (? = 0.7 dan ? = 0.3). Proses clustering dengan penggunaan algoritma k-means menghasilkan tingkat akurasi yang lebih kecil yaitu 92% pada metode block standar deviasi, juga pada metode kombinasi ternormalisasi dengan scaling dan koefisien pengali (? = 0.6 dan ? = 0.4). Penerapan k-means untuk clustering menghasilkan penghematan waktu mencapai 45.04% pada metode blockstandar deviasi.]]>
<![CDATA[METODE KETIDAKPASTIAN DAN KESAMARAN DALAM SISTEM PAKAR ]]>
<![CDATA[Putu Manik Prihatini]]>
<![CDATA[ Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 2, No. 1 Juni 2011 ]]>
Publisher : <![CDATA[Institute for Research and Community Services, Udayana University ]]>
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<![CDATA[Kecerdasan buatan dikembangkan untuk membuat agar mesin (komputer) dapat melakukan pekerjaan seperti dan sebaik manusia. Sistem Pakar merupakan bagian dari kecerdasan buatan yang mengandung pengetahuan dan pengalaman yang dimasukkan oleh satu atau banyak pakar ke dalam satu area pengetahuan tertentu. Pengetahuan dan pengalaman yang ada dalam dunia nyata yang akan direpresentasikan kedalam sistem pakar penuh dengan unsur ketidakpastian dan kesamaran. Beberapa metode yang sering digunakan untuk menangani masalah ketidakpastian dan kesamaran adalah dengan menggunakan teknik probabilitas, faktor kepastian dan logika fuzzy. Teorema Bayes merupakan bagian dari teknik probabilitas yang menekankan pada konsep probabilitas hipotesis dan evidence, sedangkan teknik probabilitas dengan teori Dempster-Shaffer menekankan pada konsep beliefe dan plausability. Pada metode dengan faktor kepastian menekankan pada nilai kepercayaan yang diberikan oleh seorang pengguna dan pakar. Pada metode dengan logika fuzzy menekankan pada derajat keanggotaan dari suatu evidence pada suatu himpunan fuzzy sehingga mampu menangani masalah kesamaran. Untuk memberikan solusi yang lebih baik, metode-metode yang ada bisa dikombinasikan antara yang satu dengan yang lainnya.]]>
<![CDATA[Pengelolaan Kegiatan Pengabdian Masyarakat dengan Sistem Informasi Manajemen ]]>
<![CDATA[I Dewa Made Adi Baskara Joni]]>;
<![CDATA[I Putu Hendika Permana]]>
<![CDATA[ Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 8, No. 2 Agustus 2017 ]]>
Publisher : <![CDATA[Institute for Research and Community Services, Udayana University ]]>
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DOI: 10.24843/LKJITI.2017.v08.i02.p06
<![CDATA[CCommunity service activities is one activity that takes the role of Information Technology (IT). IT utilization minimize the possibility of the emergence of various problems in the activities. Documents such as decrees, letters of assignment, proposals and reports of activities is often inconsistent. In the evaluation of the activities also has many limitations. If the required information such as who the lecturer is involved in the activities, how much total cost for each activity or completely very hard to know. A system built to help manage community service activities (CS) both institutional and group of lecturers CS. Users can manage at the beginning of each submission period CS activity. When necessary administrative documents such as decree and Letter of Assignment, can be generated automatically from the system. The proposal documents, reports and documentation of evidence can be uploaded into the system in order to be archived digitally and structured. The system is expected to be a solution of the problems experienced. With the new system, human error can be minimized and management activities can be done more easily with the help of IT.]]>
