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All Journal International Journal of Electrical and Computer Engineering TEKNIK INFORMATIKA Jurnal Simetris Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan WARTA KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Science and Technology Indonesia JOIV : International Journal on Informatics Visualization Jurnal Komputasi Jurnal Teknoinfo Jurnal Tekno Kompak Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Buguh: Jurnal Pengabdian Kepada Masyarakat Jurnal Pepadun Journal of Data Science and Software Engineering Warta LPM Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) Integra: Journal of Integrated Mathematics and Computer Science
Favorisen R. Lumbanraja
Jurusan Ilmu Komputer, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Lampung
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Social Sciences Other

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IMPLEMENTASI ALGORITME SUPPORT VECTOR MACHINE DAN FITUR SELEKSI MRMR UNTUK PREDIKSI GLIKOSILASI Favorisen Rosyking Lumbanraja; Naurah Nazhifah; Dewi Asiah Shofiana; Akmal Junaidi
Jurnal Pepadun Vol. 3 No. 1 (2022): April
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v3i1.96

Abstract

During the protein formation process, there are post-translational modifications that provide additional properties and produce new R groups in the polypeptide chain. One of the results of post-translational modifications is glycosylation. Glycosylation reactions occur between protein and glucose at high concentrations. There are 3 categories of glycosylation found in the human body, namely N-glycosylation, O-glycosylation and C-glycosylation. To determine the functional role of glycosylation, that is by predicting the substrate of each glycosylation site. A computational approach is a way to predict the glycosylation site, using the Support Vector Machine (SVM) algorithm. In this study there are 2 types of data, namely independent data and benchmark data. The features used are feature extraction and feature selection using Maximum Redundancy Minimum Relevance (MRMR) of 25, 50 and 75 columns. SVM classification test using 5-fold cross validation. The highest accuracy result lies in the use of the 75 column MRMR selection feature. In Independent N data, the greatest accuracy lies in the sigmoid kernel with a causation value of 86.66%, while for independent C data, the accuracy is 87.5% in the sigmoid kernel and for independent O data, the largest accuracy is 89.31% which is in the RBF kernel. For benchmark N data, the highest accuracy is 70.54% in the RBF kernel, for benchmark C data the greatest accuracy lies in the RBF kernel with a value of 95.06% and for benchmak O data it is in the RBF kernel with the greatest accuracy, which is 92.64%.
PENDAMPINGAN PENGEMBANGAN E-COMMERCE DI KWTH KARTINI, DESA KUBU BATU, KABUPATEN PESAWARAN PADA ERA DIGITALISASI DALAM PENINGKATAN EKONOMI MASYARAKAT Rahmat Safei; Aristoteles Aristoteles; Rahmat Safe'i; Admi Syarif; Kurnia Muludi; Favorisen R. Lumbanraja
BUGUH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 2 No. 3 (2022)
Publisher : Badan Pelaksana Kuliah Kerja Nyata Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.547 KB) | DOI: 10.23960/buguh.v2n3.1173

Abstract

Adanya kelompok atau komunitas merupakan keuntungan bagi masyarakat yang dapat dapat mendukung kesejahteraan dan perkembagan keberlangusngan hutan rakyat. Hal tersebut dapat diperkuat lagi dan didukung dengan adanya pemanfatan dan implementasi dari adanya teknologi pada era digitalisasi ini. Namun masih terdapat kendala dalam pelaksanaannya, seperti masih rendahnya pengetahuan masyarakat, masih kurangnya arus untuk mendapatkan informasi, dan masih kurangnya peran eksternal dalam membangun kapasitas masyarakat. Sasaran mitra dalam kegiatan pengabdian ini yaitu Kelompok Wanita Tani Hutan (KWTH) Kartini Desa Kubu Batu, Kabupaten Pesawaran. Pengabdian ini bertujuan untuk meningkatkan pengetahuan, keterampilan, dan kemampuan mitra dalam proses implementasi tekonologi. Untuk mencapai hal tersebut maka rangkaian kegiatan pengabdian ini antara lain: tahap persiapan, meliputi: sosialisasi kegiatan pengabdian berisi program dan tujuan pengabdian serta manfaat dan sasaran. Untuk mengukur pengetahuan peserta dilakukan evaluasi pre-test dan post-test dengan cara pemberian kuesioner. Hasil menunjukkan bahwa adanya peningkatan pengetahuan peserta tentang materi memanfaatkan dan mengelola website. Rerata nilai pre-test dan post-test masing-masing sebesar 50,3%. dan 75,6%. Adanya kenaikan pengetahuan peserta dari hasil pre-test dan post-test adalah 25,3. Oleh karena itu, pemanfaatan dan pengelolaan website merupakan media yang tepat untuk mempromosikan produk yang ditawarkan oleh KWTH Kartini.
PENGEMBANGAN SISTEM INFORMASI ADMINISTRASI ASISTEN MATA KULIAH PRAKTIKUM DAN RESPONSI DI JURUSAN ILMU KOMPUTER UNIVERSITAS LAMPUNG Nova Ayu Lestari Siahaan; Akmal Junaidi; Favorisen Rosyking Lumbanraja; Bambang Hermanto
Jurnal Pepadun Vol. 3 No. 2 (2022): August
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v3i2.116

Abstract

The processing system of the administrative information for lab works and problem exercises of the student at the Department of Computer Science, Universitas Lampung, is still carried out conventionally. In this manner, the data is physically stored in the form of recorded documents and leave them on the shelf. Sometimes, data collection in this form can be lost and require a longer time to manage. For this reason, a lab assistant’s information system is developed by the waterfall approach that runs on a web-based platform. The system can provide data and generate information about lab assistants and participants faster and more accurately. It is implemented using the framework Laravel and Black Box testing as a functional test of the system. The testing indicates that the system functions work to the software requirement specification.
IMPLEMENTASI SUPPORT VECTOR MACHINE (SVM) DALAM MEMPREDIKSI JUMLAH PENYAKIT DEMAM BERDARAH (STUDI KASUS PENYEBARAN DEMAM BERDARAH DI SINGAPURA) Danu Sasmita; Favorisen Rosyking Lumbanraja; Kurnia Muludi; Astria Hijriani
Jurnal Pepadun Vol. 3 No. 2 (2022): August
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v3i2.123

Abstract

Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by dengue virus infection and is transmitted through the bite of female mosquito species Aedes aegypti and Aedes albopictus. Environmental factors are one of the causes of the high prevalence of dengue fever, including the layout of buildings, water reservoirs, indentations in the soil, temperature and other things that can help the Aedes mosquito life cycle take place. The purpose of this study is to predict the spread of dengue disease using the SVM (Support Vector Machine) method with rainfall data in Singapore from 2014 to 2018, weather data and pain data, comparing this study with previous research by Adeline Ong in 2014 entitled " Predicting Dengue Cases in Singapore”, as well as knowing the results of predicting the distribution of DHF using the SVM method in the form of variance values (R2) with linear, gaussian and polynomial kernels. The results of the experiment found that the lowest error value was shown by the linear kernel with an error rate of 35.15%, with a variance value of 64.85%.
SYSTEMATIC REVIEW: PERKEMBANGAN MACHINE LEARNING PADA SPERMA MANUSIA Aristoteles Aristoteles; Admi Syarif; Favorisen R Lumbanraja
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2078

Abstract

Reproduksi merupakan proses dimana organisme memperbanyak diri yang tujuannya adalah mempertahankan kelangsungan hidup spesiesnya. Penelitian ini bertujuan untuk mengetahui perkembangan reproduksi pada manusia. Studi ini merupakan penyusunan studi literatur yang dilakukan dengan penelusuran di Google dan Google Scholar yang menggunakan kata kunci Sperma, Fertilisasi dan Reproduksi Manusia. Dari hasil penelusuran dan pemahaman jurnal didapatkan artikel yang masuk kedalam kriteria inklusi, bahwa semakin meningkat kemajuan tentang penelitian yang mengaitkan dengan kata kunci fertilisasi, sperma dan juga reproduksi manusia. Terdapat juga faktor-faktor yang bisa mempengaruhi tingkat kesuburan, serta terdapat pula aplikasi yang dapat mendeteksi tingkat kesuburan sperma.
Pendampingan Pelaksanaan E-Voting Untuk Pemilihan Kepala Pekon di Pekon Wonodadi, Kecamatan Gadingrejo, Kabupaten Pringsewu, Lampung Anie Rose Irawati; Didik Kurniawan; Dwi Sakethi; Favorisen Rosyking Lumbanraja
Jurnal Pengabdian Kepada Masyarakat (JPKM) TABIKPUN Vol. 4 No. 1 (2023)
Publisher : Faculty of Mathematics and Natural Sciences - Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpkmt.v4i1.91

Abstract

Sejak tahun 2020 Pekon Wonodadi, Kecamatan Gadingrejo, Kabupaten Pringsewu, Provinsi Lampung telah memanfaatkan teknologi informasi untuk pelayanan masyarakat dengan memanfaatkan aplikasi SIAP (Sistem Administrasi dan Pelayanan) sebagai salah satu implementasi Smart Village pada domain Smart Government. Berdasarkan penilaian Pemkab Pringsewu pekon Wonodadi memiliki kesiapan sumberdaya untuk melaksanakan Pemilihan Kepala Pekon dengan E-Voting bersama 10 pekon lainnya. Kegiatan PKM ini bertujuan untuk mendampingi aparatur pekon dalam menyiapkan dan menggunakan teknologi E-Voting untuk pemilihan Kepala Pekon. Tahapan kegiatan PKM ini adalah Pelatihan Instalasi Sistem E-Voting, Pelatihan Instalasi Teknologi Perekaman KTP Elektronik, Pelatihan Trouble Shooting Sistem, Pendampingan pelaksanaan Pemilihan Kepala Pekon, dan diakhiri dengan Evaluasi Kegiatan. PKM dinilai berhasil karena pelaksanaan pemilihan kepala pekon dengan sistem E-voting telah terlaksana secara baik dan lancar. Hasil ini dipengaruhi sikap positif masyarakat yang setuju terhadap pelaksanaan E-voting sebanyak 71,69%. Masyarakat menilai bahwa E-voting mudah digunakan, lebih cepat dan murah, menjamin prinsip LUBER JURDIL dan hasilnya realtime.
IMPLEMENTATION OF AAC AND DC FEATURE EXTRACTION FOR CLASSIFICATION OF LYSINE PROTEIN ACETYLATION USING THE SUPPORT VECTOR MACHINE METHOD Annisa Rizqiana; Mohammad Reza Faisal; Favorisen Rosyking Lumbanraja; Muliadi; Rudy Herteno
Journal of Data Science and Software Engineering Vol 2 No 01 (2021)
Publisher : Fakultas MIPA Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.355 KB)

Abstract

Post-Translational Modification (PTM) is a change that occurs in the chemical structure of a protein. One type of PTM is acetylation which commonly occurs in lysine proteins where this type of PTM plays an important role in biological processes. Existing research has identified lysine acetylation using computational methods, which is classification. Methods for protein classification have been developed, but much remains to be explored to identify lysine acetylation. Protein classification begins with extracting protein sequences into numerical features with protein descriptors which in this study used Amino Acid Composition (AAC) and Dipeptide Composition (DC). Furthermore, protein classification is carried out using the Support Vector Machine method. Support Vector Machine is a classification method that can be used for protein identification. This study provides the best performance results on the use of the combination of AAC and DC descriptors, which is 76.20%.
Peringkasan Teks Artikel Ilmiah Berbahasa Indonesia dengan Metode Pembobotan Kalimat Desti Fatmalasari; Favorisen Rosyking Lumbanraja
Jurnal Pepadun Vol. 3 No. 3 (2022): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v3i3.127

Abstract

Technology of document monitoring is used to save time in digging up important information on documents. Summarize is a process of shrinking text shorter but still retaining the information contained therein. This research discusses the commemoration of the text of journal scientific using sentence weighting methods in the form of TF-IDF and Similarity. The goal the system wants to achieve can be to summarize text by recognizing patterns on text documents in txt format files. The system was built using PHP as a programming language. The trial was conducted using UAT (User Acceptance Testing) to find out the response to the interpreted system, namely by the likers scale questionnaire by dividing 3 aspects of the assessment. From the results of data processing (quantitative) obtained a value of 82.6% for the appearance of the system, a value of 80.2% for the efficiency of sentences generated in the system summary, and a value of 83.7% for satisfaction in using an automatic texting system in scientific articles Indonesian. The results of testing and implementation of the automatic text alerting system are received with a relatively strong acceptance rate.
Sistem Informasi Berbasis Web untuk Pengelolaan Unit Jalan Rel dan Jembatan di PT Kereta Api (Persero) Divre IV Tanjung Karang Barat Rangga Agustiantino; Akmal Junaidi; Yohana Tri Utami; Favorisen Rosyking Lumbanraja
Jurnal Pepadun Vol. 3 No. 3 (2022): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v3i3.132

Abstract

PT Kereta Api Indonesia (Persero) is a company engaged in land transportation. PT KAI employees work in units, one of which is the JJ unit in charge of recording and checking roads and railways. PT KAI (Persero) has implemented an e-Office Information System to facilitate employees' work, but the system does not fully support the JJ Unit. As a result, the JJ Unit has problems where there is a lack of time efficiency when recording work tools, staffing structures, and tracking data that still use Microsoft Excel. One solution to this problem was created: a web-based Rail Road and Bridge Unit Information System at PT KAI (Persero) Divre IV Tanjung Karang. The purpose of this research is to facilitate data searches and data updates needed in the JJ Unit. The stages of this research are data collection, system design, system development, and system testing. The result of this research is the information system of the Rail Road and Bridge Unit at PT KAI (Persero) Divre IV Tanjung Karang based on the Web. This information system was developed with PHP programming, supported by MySQL as the database. The Balsamiq MockUp application was used to design the system interface in the design phase. The system has been tested with BlackBox testing and is supported by results that are as expected. This information system has four levels of users: Senior Manager, Junior Manager, Head Office Staff, and users in each resort and station. Thus, it can be concluded that the Website-based Rail Road and Bridge Unit Information System has been successfully developed using the Waterfall method and using the PHP programming language assisted by MySQL as a database.
Pembangunan Peta Virtual 3D untuk Gedung K, Gedung H, Gedung I, dan Gedung R di Fakultas Pertanian Universitas Lampung Admi Syarif; Sintiya Paramitha; Aristoteles; Favorisen Rosyking Lumbanraja
Jurnal Pepadun Vol. 4 No. 1 (2023): April
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v4i1.145

Abstract

The University of Lampung conducts routine activities of Introduction to New Student Campus Life (PKKMB) to introduce every building and public facility within the Faculty of Agriculture as well as every building and room inside. New Students and the general public every year. The current state of the COVID-19 pandemic has forced the University of Lampung to carry out learning activities online. Thus making every student activity impossible to do directly. So we need a method of presenting 3D visualization information. By using Multimedia Development Life Cycle (MDLC) system development method, the developed 3D virtual map application can display building layouts and facilities in 3D so that PKKMB activities related to the introduction of existing buildings and public facilities can still be delivered effectively and efficiently. This research was developed through 2 types of testing, namely testing by developers (Alpha) and customer satisfaction (Betha). Alpha testing provides test results. These Applications can operate on various Android with 7.1 to 12 of operating system and also on smartphone with 5.0 to 6.5 inches of screen. These applications can also be operated on smartphones with RAM range in 3GB to 8GB. Respondents stated that the 3D Virtual Map Application for Building K, Building H, Building I , and Building R, Faculty of Agriculture, University of Lampung, had good results with index percentages ranging from 87.5% to 95%.e basics.
Co-Authors - Damayanti Adawiyah, Laila Admi Syarif Aflaha Asri Ahyarudin Akbar, Mohammed Raihan Akmal Junaidi Amelia Jasmine Andrian, Rico Annisa Rizqiana Ardiansyah Ardiansyah Aristoteles, Aristoteles Asmiati Asmiati Astria Hijriani Astria Hijriani Aulia Putri Ariqa Ayu Amalia Bambang Hermanto Danu Sasmita Desti Fatmalasari Destian ade anggi Sukma Dian Kurniasari Didik Kurniawan Dwi Kartini, Dwi Dwi Sakethi Dwi Sakethi, Dwi Eliza Fitri Elly Lestari Rusitati Erdi Suroso Fanni Lufiana Fanni Lufiana Febi Eka Febriansyah Hadi, Normi Abdul Hamim Sudarsono . Hdiana, Yazid Zinedine Heningtyas, Yunda Ilman, Igit Sabda Indah Pasaribu Ira Hariati Br Sitepu Irawati, Anie Rose Jihan Aferiansyah Junaidi Junaidi Junaidi Junaidi Kristina Ademariana Kurnia Muludi Kurnia Muludi Kurnia Muludi Lilies Handayani M. Juandhika Rizky Machudor Yusman Manurung, Yunita Rosalina Megawaty, Dyah Ayu Meria Nensi Muhammad Reza Faisal, Muhammad Reza Muhammad Rizki Muhaqiqin, Muhaqiqin Muliadi Mustofa Usman Nadila Rizqi Muttaqina Naurah Nazhifah Nova Ayu Lestari Siahaan Nuning Nurcahyani Nurhasanah Nurhasanah Parabi, M. Iqbal Prabowo, Rizky Pratama, Rinaldo Adi Priyambodo Priyambodo Priyambodo Priyambodo Qory Aprilarita Rahmat Safe'i Rangga Agustiantino Reza Aji Saputra RM Sulaiman Sani Rosdiana, Siti Rudy Herteno Rudy Herteno Rusitati, Elly Lestari Saragih, Triando Hamonangan Shofiana, Dewi Asiah Sholehurrohman, Ridho Sintiya Paramitha Siti Aisyah Solechah Siti Rosdiana Su'admaji, Arif Susanto, Gregorius Nugroho Sutyarso, - Syangap Diningrat Sitompul TANJUNG, AKBAR RISMAWAN Tiyara Saghira Tristiyanto Tristiyanto Wamiliana Warsono Warsono Warsono Warsono Warsono YOHANA TRI UTAMI, YOHANA TRI Zuliana Nurfadlilah