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All Journal snimed Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Foristek Techno.Com: Jurnal Teknologi Informasi Jurnal Teknologi dan Manajemen Informatika Prosiding SNATIF JAM : Jurnal Aplikasi Manajemen Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) Technomedia Journal ScientiCO : Computer Science and Informatics Journal IT (INFORMATIC TECHNIQUE) JOURNAL Advance Sustainable Science, Engineering and Technology (ASSET) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) The Indonesian Journal of Computer Science Tadulako Science and Technology Journal
Syaiful Hendra
Information Technology Department, Engineering Faculty, Tadulako University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Transportation

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Journal : Technomedia Journal

 1 
Serli Discovery Learning Dalam Mendukung Pembelajaran Ilmu Pengetahuan Alam Siswa Berbasis Android: Serli Discovery Learning in Supporting Android-Based Natural Science Learning for Students Putri Febrina, Annisa; Ngemba, Hajra Rasmita; Hendra, Syaiful; Anshori, Yusuf; Azizah, Azizah
Technomedia Journal Vol 9 No 1 Juni (2024): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v9i1.2219

Abstract

The development of information technology, have a positive impact on education by providing flexible learning support. The design and presentation of the learning tool significantly affect students' interest in learning. In the current technological era, students and teachers must consider the accessibility and mobility of learning media. The purpose of this research is to develop the SERLI Application, an android-based Natural Science learning module that can be accessed anywhere by students and teachers. The application development model used is the Hannafin & Peck Model, which consists of  needs analysis,  design  stages, and  implementation & development. The method for evaluating user satisfaction uses the End User Computing Satisfaction method. This method considers variables such as content, accuracy, display format, ease of use, and timeliness. The experts tested the SERLI Application, gave a 86.58% success rate. Student users and teachers also evaluated the application and achieved a 85% success rate. These results are very good. The implementation result of this research is an android-based learning application product that contains a science lesson module. In this application, there is an initial display, namely registration into the application, then the main display of the application which contains modules and practice questions, then the display for the teacher.
Sistem Layanan Ujian Psikotes SIM Menggunakan Computer Based Test Berbasis Website: SIM Psychological Test Service System Using Computer Based Test Based on Website Suryani Putri, Fadiah; Ngemba, Hajra Rasmita; Hendra, Syaiful; Wirdayanti, Wirdayanti
Technomedia Journal Vol 9 No 1 Juni (2024): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v9i1.2220

Abstract

Psychometric tests are a crucial step in obtaining a Driver's License (SIM) that requires effective cooperation between the Traffic Unit (SATLANTAS), psychological institutions, and applicants. However, the psychometric test service often faces challenges due to lack of accuracy and difficulties in manual verification of test results by psychological facilities. To address this challenge, this research develops a web application to facilitate registration, conduct of psychological tests, and access to test results for applicants. This application also assists administrators in managing psychological test information and providing confirmation to applicants. The development process uses the waterfall SDLC method. In its development, testing uses 2 methods: blackbox and the Delone & Mclean method with a qualitative approach involving 47 respondents. Through this research, a SIM psychometric test service system is produced, consisting of account registration, admin and user login, and psychometric test execution pages. The resulting system, named SINAR-SIMPOLRI, can improve the effectiveness and efficiency of psychometric test services in Palu City, providing more efficient support for test participants and psychological facilities in conducting easier checks.
Implementasi Algoritma RC4 Pada Sistem Informasi Pelaporan DUKCAPIL Provinsi Sulawesi Tengah : Implementation of the RC4 Algorithm in the DUKCAPIL Reporting Information System of Central Sulawesi Province Iswandi, A.Avri; Ngemba, Hajra; Hendra, Syaiful; Syahrullah; Nouval Daffa Ulhaq, Muhammad
Technomedia Journal Vol 9 No 2 Oktober (2024): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v9i2.2233

Abstract

The Population and Civil Registration Service Reporting Information System is an important aspect in managing population data at the provincial level. However, data security in these systems is a major concern, given the sensitivity of the personal information contained therein. This research applies the RC4 algorithm to the reporting information system of the Central Sulawesi Province population and civil registration service to improve data security. This research uses a system development method with a case study approach. Researchers implemented the RC4 algorithm on an existing reporting information system and analyzed its impact on data security. Data was collected through interviews with Population and Civil Registration Service officers, observations, and testing system functionality. The applications built are tested using blackbox and crackstation. The results of black box testing show that the application produces the desired output and is in accordance with the function of the application program created. The results of the crackstation test show that the RC4 algorithm was not successfully solved. The research results show that the application of the RC4 algorithm to the reporting information system of the Central Sulawesi Province Population and Civil Registration Service can significantly increase data security. This algorithm is able to encrypt data sent over the network, thereby preventing unauthorized access and misuse of information.
Sistem Terpadu Web Dan Android Sebagai Inovasi Pemasaran Produk Umkm Dan Profil Bisnis Unggulan Kabupaten Sigi : Integrated Web and Android System as Product Marketing Innovation MSMEs and Leading Business Profiles of Sigi Regency Kade Dwi Arsana, I Gusti Ngurah Agung; Wirdayanti; Syahrullah; Ngemba, Hajra Rasmita; Hendra, Syaiful
Technomedia Journal Vol 9 No 2 Oktober (2024): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v9i2.2267

Abstract

The digital transformation era has fueled enthusiasm for digital living among Indonesian society, driven by the surging use of internet and smartphones. The digital economy has unlocked new opportunities for businesses and entrepreneurship, significantly boosting national economic growth. In this context, MSMEs (Micro, Small, and Medium Enterprises) play a pivotal role as the backbone of Indonesia's economy, holding immense potential to drive national progress. The year 2024 has been designated as the year of digital transformation for MSMEs, with a target of integrating 30 million MSMEs into the digital ecosystem. Sigi Regency, with its 30,554 MSMEs spanning diverse business sectors, is a key focus for the local government's efforts to digitize the MSME sector, aiming to enhance product quality, services, and global competitiveness. To achieve this goal, an integrated web and Android system is proposed, empowering MSMEs to independently manage product data and business profiles, creating a digital gallery to showcase the Sigi MSME catalog.
Penerapan Algoritma K-Means Clustering Dalam Pengelompokkan Kepadatan Penduduk: Application of K-Means Clustering Algorithm in Population Density Grouping Delia, Fenita; Rasmita Ngemba, Hajra; Hendra, Syaiful; Syahrullah, Syahrullah; Trezandy Lapatta, Nouval
Technomedia Journal Vol 9 No 3 (2025): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v9i3.2270

Abstract

Uneven population density will have a negative impact if not considered. One way to tackle this problem is with population equity management planning policies. This research focuses on clustering population density areas, which is the ratio between population and area in Central Sulawesi Province. This research clustering is applied with data mining techniques, namely K-Means Clustering. The research stages are data collection, data understanding, data processing, clustering, clustering review, dashboard analysis, and accuracy testing with the tableau application in providing visualization of population density in the region. Based on the results of the algorithm calculation, it produces three clusters, cluster 0 being low population density, cluster 1 being high population density, and cluster 2 being medium population density. Cluster formation is based on the visualization produced by the research dataset through Sum Of Square Error analysis, silhouette coefficient, and elbow method. Clustering is formed, followed by dashboard visualization with the tableau application. The clustering results, based on the SSE calculation, produce a value of 4324505738.747303, meaning the determination of the number of clusters with a significant difference with the calculation of the number of previous groupings. Then the results of the silhouette analysis provide the highest average silhouette value at the number of clusters, namely 3 with a value of 0.6144435666457168, and the elbow method gives the result that the elbow point is at point 3, meaning the optimum number of clusters with 3 clusters.
Implementation of Brute Force Algorithm for Digital Land Mapping Information System: Implementasi Algoritma Brute Force untuk Sistem Informasi Pemetaan Tanah Digital Irfan, Mohamad; Ngemba, Hajra Rasmita; Hendra, Syaiful; Syahrullah, Syahrullah; Lapatta, Nouval Trezand; Hamid, Odai Amer
Technomedia Journal Vol 10 No 1 (2025): June
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v10i1.2271

Abstract

The Land Asset Mapping Information System of the Palu City Local Government was developed to streamline digital land record management and enhance public service delivery. However, users experience substantial delays averaging 3-5 minutes per query during manual data searches. This study aims to optimize search efficiency by implementing the Brute force string-matching algorithm, allowing users to retrieve precise land records through direct pattern input. A waterfall system development methodology was systematically applied across five phases: requirements analysis, system design, PHP/JavaScript implementation, White Box testing, and maintenance. The research team collaborated closely with 12 technical officers from the City Spatial Planning and Land Office to validate system requirements and evaluate real-world performance. The implementation of the Brute force algorithm reduced average search times by 68\% (from 185s to 59s) while maintaining 100\% accuracy in test datasets containing 5,000+ land records. Rigorous testing confirmed the algorithm's reliability across various edge cases, including partial matches and special character inputs. The application of the Brute force method has transformed the system's search functionality, particularly for frequent queries involving land parcel IDs and owner names. These improvements have increased daily processing capacity by 40\%, significantly benefiting urban planning and dispute resolution workflows. While demonstrating excellent performance for medium-sized datasets, the solution presents opportunities for future enhancement through hybrid approaches combining Brute force with indexing techniques for large-scale deployments beyond 50,000 records.
Co-Authors - Ifandi A Djufri, Isdar Abdul Mahatir Najar Aimar Anand Alamsyah Alamsyah - Alda Nur Pradinda Amalia, Liza Andhyka, Andhyka Angraeni, Dwi Shinta Anita Ahmad Kasim Anjany, Ni Luh Verha Anugrah Aidin Yotolembah Anwar, Asriani Azizah Azizah Batara, Mohammad Chairunnisa Ar. Lamasitudju Chandra, Ferri Rama Delia, Fenita Deny Wiria Nugraha Dharmakirti, Dharmakirti Djohari, Riyandi Dwitama Dodu , Albertch Yordanus Erwin Dwi Shinta Angreni Dwi Wijaya, Kadek Agus Dwiwijaya, Kadek Agus Elyana Aulia Chandra Fadjryani, Fadjryani Hajra Rasmita Ngemba Hamid, Odai Amer Hardianti Hardianti, Hardianti I Gusti Ngurah Agung Kade Dwi Arsana Idhamsyahreza, Idhamsyahreza Indrajaya, Muhammad Aristo Ismail, Nurmasita Iswandi, A.Avri Junaidi Junaidi Junus Widjaja Kade Dwi Arsana, I Gusti Ngurah Agung Laila, Rahma Lakatjinda, Adiatma Lintine, Gabriella Bamba Ratih Liza Amalia Mandra Mohamad Irfan, Mohamad Muh Alif Alghifari Muh. Aristo Indrajaya Muhamad Aristo Indrajaya Muhammad Jindan Muhammad Nauval Daffa Ulhaq Muhammad Yazdi Ngemba, Hajra Nouval Daffa Ulhaq, Muhammad Nouval Trezandy Lapatta Nur Muliyana P. Dominggo, Nenita Penidas Fodinggo Tanaem Pradinda, Alda Nur Pratama, Moh. Asry Eka Putra Ramadhan, Adjie Putri Febrina, Annisa Putri, Fadiah Suryani Rahmah Laila Raivandy, I Made Randhy Rasmita Ngemba, Hajra Rasmita, Hajra Rifai, Muhammad Fajar Risaldi Pata’Dungan, Adi Rizana Fauzi, Rizana Rizka Ardiansyah Rosmala Nur Ryfial Azhar, Ryfial Septiano Anggun Pratama Setiawan, Iman Siti Rahmawati Sitti Ainul Yakin Sri Kusumadewi Sukardi Sukardi Suryadi Hadi Suryani Putri, Fadiah Syahrullah Syahrullah Syahrullah Ulhaq, Muhammad Naufal Daffa Uswary, Jonathan Albert Vivi Peggie Rantung Winarta, Ardhiansyah Wirdayanti Wirdhayanti, Wirdhayanti Yuri Yudhaswana Joefrie Yusuf Anshori