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All Journal JURNAL SISTEM INFORMASI BISNIS MediaTor: Jurnal Komunikasi Jurnal Simetris Mediator Bulletin of Electrical Engineering and Informatics Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Pembangunan Pedesaan Journal of Information Systems Engineering and Business Intelligence Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Science and Technology Indonesia JOIV : International Journal on Informatics Visualization Jurnal Komputasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING ComTech: Computer, Mathematics and Engineering Applications Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Buguh: Jurnal Pengabdian Kepada Masyarakat Jurnal Pepadun SWARNA: Jurnal Pengabdian Kepada Masyarakat JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Integra: Journal of Integrated Mathematics and Computer Science

Akmal Junaidi

Jurusan Ilmu Komputer Universitas Lampung

Author-ID : 3073728

Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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SISTEM INFORMASI DESA NEGARA TULANG BAWANG KECAMATAN BUNGA MAYANG KABUPATEN LAMPUNG UTARA BERBASIS WEB Machudor Yusman; Akmal Junaidi; Dwi Sakethi; Rendi Adam
Jurnal Pepadun Vol. 1 No. 1 (2020): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Population data management is a very important thing in a government agency. Information about the village is important to provide information to the community. This research was conducted in Tulang Bawang State village of Bunga Mayang district of North Lampung. Currently, the management of population data is still done by conventional, by storing data in the form of documents recorded. To facilitate the management of such data, it is necessary to make the village information system fast and accurate. This system uses waterfall development method. Analysis, design, recording, testing, and maintenance. The result of the evaluation of the village information system of Tulang Bawang State, the assessment for satisfaction is at an average of 78.38% aspect of the display or in category good. The test results showed that the functions in the village information system of Tulang Bawang state have been able to run well according to what was given. So it can be concluded that the system is working well to help the village staff work in the management of population data and make logging more accurate.

SISTEM INFORMASI ADMINISTRASI SURAT TINGKAT RT BERBASIS WEB (STUDI KASUS RT 040 KELURAHAN PESAWAHAN) Kenny Claudie Fandau; Akmal Junaidi; Kurnia Muludi
Jurnal Pepadun Vol. 2 No. 2 (2021): August
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Reference letters play an important role in the management of population administration at the sub-district (kelurahan) level. When the residents need a reference letter for their specific purpose, they first must manage the request letter from RT and deliver it to the sub-district office. However, during the COVID-19 pandemic, direct interaction among residents and sub-district officers should be avoided. Even, in some circumstances, the services by the sub-district office must be performed online. For this reason, a web-based RT Level Letter Administration Information System was developed by applying the waterfall approach. The user interaction and communication are modeled by Unified Modeling Language (UML). The system is implemented using PHP. The assessment of the functionality of the system by the Black Box Testing indicates that the system conforms to its requirements. This system is ready to deploy in RT 040 of sub-district Pesawahan, Bandar Lampung to serve residents.

FITUR PEMBUATAN BAHAN AJAR BERUPA HANDOUT DENGAN FRAMEWORK LARAVEL PADA SISTEM INFORMASI PEMBERKASAN PERKULIAHAN BERBASIS WEB Febi Eka Febriansyah; Akmal Junaidi; Rangga Firdaus; Rendi Eko Prasatiawan
Jurnal Pepadun Vol. 2 No. 3 (2021): 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.v2i3.82

Lampung University is one of the state universities in Lampung Province with a variety of faculties and departments. One of which is the Faculty of Mathematics and Natural Sciences that includes the Department of Computer Science. The Department of Computer Science applies the process of compiling lecture devices into a system. The preparation of lecture equipment cannot be separated from the tools or equipment of teaching materials because they are needed in the learning process of each subject. At this time the process of compiling teaching materials on the web-based lecture filing information system in the Department of Computer Science has not been applied using the system. Therefore, with the addition of the feature of making teaching materials in the form of handouts with the Laravel framework on a web-based lecture filing information system, it is hoped that it can assist lecturers in preparing teaching materials and assist administrators, faculty, and students in finding teaching materials so that they can be printed. The conclusion of this research is that the feature of making teaching materials in the form of handouts with the Laravel framework on a web-based lecture filing information system has been successfully added.

IMPLEMENTASI SUPPORT VECTOR MACHINE DALAM MEMPREDIKSI HARGA RUMAH PADA PERUMAHAN DI KOTA BANDAR LAMPUNG Favorisen Rossyking Lumbanraja; Reza Aji Saputra; Kurnia Muludi; Astria Hijriani; Akmal Junaidi
Jurnal Pepadun Vol. 2 No. 3 (2021): 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.v2i3.90

Machine Learning has been widely used in terms of predictions for analyzing datasets. One method of Machine Learning is Support Vector Machine (SVM). The house has an important role in the survival of human beings. With the times, many developers are competing to build housing. The purpose of this study is to predicted the housing cost using Support Vector Machine. The data in this research used the data of house in Bandar lampung, the price, the location and the building specification. The amount of data used 51 datas and 33 variables with regression and classification, also used 3 kernels and it's model, 12 times first trial and next 6 experiments done with fitur selection. The trial result was kernel regression polynomial model reached the highest R 2 that was 95,99% linear kernel and gaussian kernel reached R 2 90,99% and 81,43% each. While in accuration classification model trial is obtained in 8 class of gaussian kernel as big as 91,18%, and linear kernel and polynimonal kernel get an accuracy of 90,20% and 89,90%.

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

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%.

IMPLEMENTASI SISTEM PAKAR PADA PENYAKIT BUAH PEPAYA CALIFORNIA BERBASIS ANDROID MENGGUNAKAN METODE FORWARD CHAINING Irwan Adi Pribadi; Titik Nur Aeny; Akmal Junaidi; Tio Arisandi
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.v3i1.101

California papaya is one of the varieties of papaya developed by the Bogor Agricultural Institute known as IPB-9. California papaya is widely cultivated by farmers in Indonesia because it is quite profitable, but this plant is not immune from disease. For this reason, farmers must understand the aspects of california papaya disease so that their hard work from california papaya farming brings satisfactory results. With the advancement of science and information technology today, farmers can find out information about california papaya disease and how to control it easily. This research produces an expert system application that can find out information about california papaya disease by using the forward chaining method. Farmers can use various features in this california papaya application. The first feature is disease diagnosis. In this feature, farmers will choose the symptoms that have been provided by the application, totaling 28 symptoms which will then be drawn conclusions in the form of results and ways to overcome the disease concluded. The second feature, the application provides a list of 9 diseases in california papaya so that farmers can find out in full about the disease and how to overcome it.

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

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.

PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN ALAT KONTRASEPSI (STUDI KASUS: PUSKESMAS KECAMATAN RAMAN UTARA) Wulan Kurnia Safitri; Ossy Dwi Endah Wulansari; Akmal Junaidi; Aristoteles Aristoteles
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.v3i2.121

The choice of contraception is very important. Usually, the acceptors choose the contraceptive that is easiest to use even though the device is not necessarily in accordance with the existing variables, causing errors in the selection of contraceptives and resulting in the failure of the family planning program. This study aims to build a decision support system that can assist in the selection of contraceptives. This study uses the Simple Additive Weighting (SAW) method using 7 criteria variables and a web-based system built. The results of the research conducted indicate that the decision support system built can help provide contraceptive recommendations based on calculations using 7 criteria. Other tests show that the functions contained in the system have been running well according to user needs.

Aplikasi Sistem Pakar Berbasis Android dengan Metode Certainty Factor untuk Mendiagnosis Penyakit pada Tanaman Karet Bambang Hermanto; Albertus Sudirman; Akmal Junaidi; Arif Pebriansyah
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.v3i3.128

Rubber is an important plantation commodity as a source of income, employment and foreign exchange opportunities, as an engine of economic development in new centers within the rubber plantation environment. Rubber plant diseases generally cause economic losses to rubber plantations. Lack of knowledge of farmers to control rubber plant diseases can result in losses and ultimately reduce farmers' income. Therefore, it is necessary to build a system that can diagnose diseases like an expert or an expert. The method used in this system is the certainty factor method which is used to prove whether a fact is certain or uncertain. This method is very suitable for expert systems that diagnose uncertainty. After that, a system validity test is carried out which aims to test the ability of the expert system to identify diseases. Based on the test results, the highest disease score was tapping groove disease with a disease percentage of 94.96%, while the lowest disease percentage was red root fungus disease with a percentage of 79%, with an average test result above 75% so that it was concluded that the system can diagnose rubber plant diseases well in accordance with the results of the diagnosis obtained.

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

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.

Co-Authors - Damayanti . Wamiliana Admi Syarif Ahmad Ari Aldino Ahmad Faisol Akbar, Mohammed Raihan Albertus Sudirman Alfikri, Fadli Andrian, Rico Ani Kurniawati Arif Munandar Arif Pebriansyah Asmiati Asmiati Astria Hijriani Astria Hijriani Astria Hijriani, Astria Ayu Amalia Ayu Nadila Bambang Hermanto Damayanti Damayanti Dwi Sakethi Dwi Sakethi Dwi Sakethi Fajriyanto Fajriyanto Fazri, Yudistira Febi Eka Febriansyah Fitriani Gamal, Mohammad Danil Hendry Hamim Sudarsono . Heningtyas, Yunda Herindri Samodera Utami, Bernadhita Hidayat Pujisiswanto Ida Nurhaida1 Ida Nurhaida Ida Nurhaida Indah Mayatika Sihaloho Innaya, Thalia Gemi Irawati, Anie Rose Irwan Adi Pribadi Irwan Adi Pribadi Iva Mutiara Indah Kartika Sari Kenny Claudie Fandau Kurnia Muludi Leila Fauziah Lucia Ratnasari Lumbanraja, Favorisen R Machudor Yusman Machudor Yusman Maharani, Devi Manurung, Yunita Rosalina Megawaty, Dyah Ayu Meizano Ardhi Muhammad Muhammad Iqbal Muhammad Jamaludin Muhammad, Meizano Ardhi Mustofa Usman Naurah Nazhifah Nikken Prima Puspita Nirwana Hendrastuty Nova Ayu Lestari Siahaan Novita Dwilestari Nugroho Susanto, Gregorius Nurdin, Muhaymi Ossy Dwi Endah Wulansari Ossy Dwi Endah Wulansari, Ossy Dwi Endah Pairul Syah Pairulsyah Pairulsyah Prabowo, Rizky Pranata, Beni Adi Rahmat Safe'i Rahmi Permata Hati Rangga Agustiantino Rangga Firdaus Rendi Adam Rendi Eko Prasatiawan Reni Permata Sari Reza Aji Saputra Rizky Ramadhany Rosdiana, Siti Rusdi Evizal S Susiyani SAIFUL ANWAR Saipul Anwar Saipul Anwar Samsul Bakri Shofiana, Dewi Asiah Sholehurrohman, Ridho Siti Khabibah Siti Rosdiana Slamet Budi Yuwono Sugaluh Yulianti Sugeng P Hariyanto Sugeng P Hariyanto Sugeng Prayitno Hariyanto Susanto, Gregorius Nugroho Sutyarso Sutyarso Sutyarso, - Syachrul Priyo Wibowo Syifa Trianingsih Taqwan Thamrin Tio Arisandi Titik Nur Aeny Trianingsih, Syifa Tsani, Machya Kartika Wamiliana Warsono Warsono Wartariyus Wartariyus Wiwin Susanty Wulan Kurnia Safitri Yoannisa Egeustin YOHANA TRI UTAMI, YOHANA TRI Yusikania Dwi Putri Zaenal Abidin Zaini, TM

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