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Manfaat dan Metode Aplikasi Sensus Penduduk Online di Desa Sukabakti Tri Dharma Putra; Rakhmat Purnomo
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 10, No 1 (2020): Juli 2020
Publisher : LPPM UNINUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30999/jpkm.v10i1.875

Census is the calculation of the total population, economy, etc. conducted by the government within a period of time, carried out simultaneously, and is comprehensive within a country boundary for the interests of the country's demographics concerned. At present Sukabakti village in Tambelang sub-district, Bekasi Regency does not have accurate data population. It is estimated that there are around 8000 residents in this district. However, there are many people who do not have a ID card (KTP), so they are not registered. Their reason is because they do not feel they need a ID card because it is useless. The large number of unregistered people requires manual data collection. This is where a census population is needed for the people of this village. There are several methods for conducting population censuses. In practice, the recording method or census used can be divided into two, namely the householder method and the canvaser method. Based on the status of residence of the population, the census can be divided into the de facto census and the de jure census. With the development of digital technology and information systems, the census can be done by online applications. This journal will discuss these methods so as to increase the knowledge of us about the population census and its application by using an online census application.

Analisis Keranjang Belanja dengan Algoritma Apriori Klasik pada Data Mining Tri Dharma Putra
Jurnal Kajian Ilmiah Vol. 20 No. 1 (2020): Januari 2020
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Association Rule Mining is an area of data mining that focus on pruning candidate keys, to find frequent item set. For example, a set of items, such as milk and bread, that appear frequently together in a transaction data set is a frequent itemset. A subsequence, such as buying first PC, then a digital camera, and then a memory card, if it occurs frequently in a shopping history database, is a (frequent) sequential pattern, also knwon as market basket analysis. This paper describes the step by step classical apriori on market basket analysis. Keywords: apriori algorithm, frequent item set, market basket analysis, association rule Abstrak Penambangan Aturan Asosiasi adalah area data mining yang fokus pada pemangkasan kunci kandidat, untuk menemukan frequent itemset. Sebagai contoh, satu set item, misalnya susu dan roti, yang muncul sering bersama-sama di set data transaksi adalah frequent itemset. Berikutnya, pelanggan, misalnya membeli PC dahulu, lalu kamera digital, lalu kartu memori, jika ini sering terjadi dalam riwayat basisdata belanja, adalah pola sekuensial berurutan (sering), juga dikenal sebagai analisis keranjang belanja. Tulisan ini menjelaskan langkah demi langkah algoritma apriori klasik pada analisis keranjang belanja. Kata kunci: algoritma apriori, frequent itemset, analisis keranjang belanja, aturan asosiasi

Pemberdayaan Sumber Daya Desa Sukawijaya melalui Teknologi Informasi Rakhmat Purnomo; Tri Dharma Putra
Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Vol. 1 No. 1 (2020): July 2020
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Program Pengabdian Kepada Masyarakat dalam Kuliah Kerja Nyata atau PKM-KKN bertujuan untuk melatih softskill mahasiswa. Seorang dosen pendamping ditentukan untuk membimbing dan mengarahkan 30 mahasiswa. Program PKM-KKN ini dilakukan di Desa Sukawijaya Kecamamatan Tembelang Kabupaten Bekasi Jawa Barat. Program utama kami adalah sosialisasi teknopreneur dan internet marketing. Metode pelaksanaan dengan cara berbagi pengetahuan dan pengalaman melalui kegiatan sosialisasi kepada remaja karang taruna dan siswa sekolah Madrasah Aliyah Al-Hidayah di Desa Sukawijaya. Hasil dari kegiatan sosialisasi ini adalah para remaja karang taruna dan siswa sekolah Madrasah Aliyah Al-Hidayah di desa sukawijaya diharapkan dapat bersikap bijak dalam penggunaan perangkat teknologi informasi khususnya smartphone dan internet untuk mengopotimalkan potensi kompetensi pribadi, usaha pribadi dan potensi masyarakat Desa Sukawijaya.

Haversine Formula to Find The Nearest PetShop Rakhmat Purnomo; Tri Dharma Putra; Hadi Kusmara; Wowon Priatna; Fajar Mukharom
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i3.2434

The population of cats and dogs is increasing, whether they are kept or not. The public's awareness to raise these animals needs to be supported by a business place for keeping and buying and selling pet food or a PetShop. People who keep animals often have difficulty (1) finding the nearest PetShop, (2) access to the location, (3) knowing what services are provided, even (4) knowing whether there is a willingness to consult animal care and make a consultation appointment. This study aims to bring together PetShop and the community in the care and maintenance of animals, especially cats and dogs in Bekasi City. The system development life cycle method used is WaterFall. The WaterFall method consists of 5 stages, namely: Communication, Planning, Modeling, Construction, and Deployment. On stage Contruction, the Haversine Formula is inserted to find the nearest PetShop and with the help of the Google Maps API, a route to the PetShop is determined from the application user. Unified Modeling language (UML) diagrams are used during the analysis and system design processes such as Use Case Diagrams, Activity Diagrams, Sequence Diagrams, Class Diagrams, Data Models, and User Interfaces. The result of this research is the ZuPet Web application which was built according to the Waterfall system development methodology, and the Haversine Formula has been inserted to optimize the search for the shortest route. The functionality of the application has been tested using the BlackBox Testing method. The application can be accessed at the address https://zupet.my.id.

Mendeley Integration Of Word Processing Application For Job Training Report Optimalization At Smks Ekuin Pangeran Jayakarta Rakhmat Purnomo; Tri Dharma Putra
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2022): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

The word processing application, Microsoft Word, will make it easier for students to work on the job training report quickly and effectively. A lot of knowledge that students can get when making reports with a scientific approach. SMKS EKUIN Pangeran Jayakarta Vocational High School students have a problem with this. The purpose of this community service program is to overcome these problems, namely that students still do not optimize word processing applications to make job training reports with a scientific approach. The solution we give by providing mentoring training is effective in optimizing the use of word processing applications that are integrated with the Mendeley Library Manager and the use of the Style, Caption, and Equation functions. Participants were also presented with how to add and develop knowledge and practice the 10 finger fast typing method. The implementation methods carried out are (1) Presentation, the material is explained briefly, concisely and clearly, (2) Demonstration, the material is demonstrated directly, participants see it, (3) Direct Practice, participants carry out and practice the material presented, (4) Mentoring, Participants are helped during practice. Problems encountered can be resolved immediately, and (5) Google Classroom, utilization of this Learning Management System to see the progress of learning, discussion, and unlimited time assistance. Participants can asked the mentor anytime if there are any questions. The results of this program, after training, the first is that participants will know and gain knowledge and skills. Second, if participants always practice these skills, they will definitely be able to operate word processing applications optimally, typing can be completed quickly, tasks such as making papers, proposals, and any reports, especially job training reports, can be prepared properly and using a scientific approach so that their knowledge will increase.

Comparison Between Simple Round Robin and Improved Round Robin Algorithms Tri Dharma Putra; Rakhmat Purnomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 1 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i3.2547

The objective of this journal is to compare the efficiency between these two algorithms, the simple round robin and improved round robin algorithms. In real time systems algorithm, round robin plays a significant role to be used in embedded systems. Here we compare the average turn around time and average waiting time, also number of context switching between these two algorithms. Improved round robin algorithm, is an algorithm where if the remaining burst time is less than the allocated time quantum then the running process is executed. Then remove the currently running process from ready queue and put it in the tail of the ready queue while in simple round robin algorithm the remaining burst time will be executed until finish as scheduled. This comparison proves that improved round robin algorithm is more efficient, with lower average turn around time and lower average waiting time, lower context switching. There by this increases the system throughput.

Comparison Between Simple Round Robin and Improved Round Robin Algorithms Tri Dharma Putra; Rakhmat Purnomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 1 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i1.4824

The objective of this journal is to compare the efficiency between these two algorithms, the simple round robin and improved round robin algorithms. In real time systems algorithm, round robin plays a significant role to be used in embedded systems. Here we compare the average turn around time and average waiting time, also number of context switching between these two algorithms. Improved round robin algorithm, is an algorithm where if the remaining burst time is less than the allocated time quantum then the running process is executed. Then remove the currently running process from ready queue and put it in the tail of the ready queue while in simple round robin algorithm the remaining burst time will be executed until finish as scheduled. This comparison proves that improved round robin algorithm is more efficient, with lower average turn around time and lower average waiting time, lower context switching. There by this increases the system throughput.

SISTEM INFORMASI GEOGRAFIS MENCARI RUTE TERPENDEK PADA PEMETAAN SMP DI KECAMATAN MUSTIKAJAYA DENGAN ALGORITMA A-STAR (A*) BERBASIS WEB Deka Darma Novandra; Tri Dharma Putra; Mayadi Mayadi
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v4i1.2441

Many parents have few references to send their children to school, and are only based on suggestions or invitations from those closest to them. Lack of information can be one of the reasons for the lack of references for parents to choose a junior high school for their child. The lack of information regarding the location of junior high schools is the reason for the lack of references for parents to send their children to school. Based on the existing problems, the authors propose a web-based geographic information system that uses the A-Star Algorithm (A*) to be used as a means of information and also to add references for parents/guardians. The A-Star (A*) algorithm is a method for searching for information about the distance to reach a destination by selecting the closest route. Keywords: A-Star Algorithm (A*), Closest Path, Middle School, Mustikajaya, Web Abstrak Banyak orang tua yang memiliki sedikit referensi untuk menyekolahkan anaknya, dan hanya berdasarkan saran atau usulan dari orang terdekat. Kurangnya informasi bisa menjadi salah satu penyebab kurangnya referensi orang tua untuk memilih sekolah menengah pertama untuk anaknya. Minimnya informasi mengenai lokasi sekolah memengah pertama menjadi penyebab sedikitnya referensi orang tua dalam menyekolahkan anaknya. Berdasarkan masalah yang ada peneliti mengusulkan sebuah sistem informasi geografis berbasis web yang menggunakan Algoritma A-Star (A*) untuk dijadikan sarana informasi dan juga untuk menambah referensi para orang tua/wali. Algoritma A-Star (A*) adalah metode untuk melakukan pencarian informasi mengenai jarak untuk mencapai tujuan dengan pemilihan rute terdekat. Kata Kunci: Algoritma A-Star (A*), Jalur Terdekat Mustikajaya, SMP, Web

Implementasi Deep Learning Untuk Rekomendasi Aplikasi E-learning Yang Tepat Untuk Pembelajaran jarak jauh Wowon Priatna; Rakhmat Purnomo; Tri Dharma Putra
Jurnal Kajian Ilmiah Vol. 21 No. 3 (2021): September 2021
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

The purpose of this study is to recommend e-learning applications that are appropriate for use in online learning in college environments. The large number of e-learning platforms used by lecturers for online lecture activities results in students being forced to use several e-learning applications depending on the lecturer who teaches the courses taken, for the university also finally gives lecturers policies for distance learning reports each finished giving the material. In this study the data collection method began by taking data from the faculty to find out which e-learning applications were widely used by lecturers, then distributing questionnaires to students and lecturers who used the e-learning application to measure the e-leaning application with the e-learning criteria. Appropriate. The data is then processed into a dataset. The algorithm used in implementing deep learning is Artificial Neural Network (ANN). For the implementation of ANN, 27 variables were determined from the e-learning criteria and 1 target. In this ANN stage, prediction was used with classifications based on preparation, training, learning, evaluation and prediction using the python programming. The results obtained in this study that the Moodle application gets the highest score with an accuracy of 97% to be used as a recommendation for e-learning applications that are appropriate for universities to conduct online lectures.

Perancangan Sistem Informasi Koperasi untuk Penentuan Kelayakan Peminjaman Menggunakan Algoritma C4.5 Mochamad Reyhan Gusnaldi; R. Wisnu Prio Pamungkas; Tri Dharma Putra
Indonesian Journal of Education And Computer Science Vol. 3 No. 3 (2025): INDOTECH - December 2025
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v3i3.1420

Koperasi simpan pinjam memiliki peran strategis dalam menyediakan akses pembiayaan kepada masyarakat yang tidak terjangkau layanan perbankan formal. Namun, proses penentuan kelayakan peminjaman pada sebagian besar koperasi masih dilakukan secara manual dan subjektif, yang menimbulkan risiko keputusan yang tidak akurat dan ketidakkonsistenan dalam pelayanan. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi koperasi berbasis web yang mengimplementasikan algoritma C4.5 guna meningkatkan objektivitas dan efisiensi dalam proses penilaian kelayakan pinjaman. Metodologi yang digunakan adalah pendekatan rekayasa perangkat lunak model waterfall, dimulai dari analisis kebutuhan, perancangan sistem, implementasi, hingga pengujian. Algoritma C4.5 diaplikasikan untuk mengklasifikasikan kelayakan peminjaman berdasarkan atribut-atribut seperti status anggota, status tabungan, dan jumlah pinjaman. Hasil penelitian menunjukkan bahwa penerapan algoritma C4.5 berhasil menghasilkan pohon keputusan yang efektif dan dapat diintegrasikan dalam sistem berbasis web. Sistem ini tidak hanya mengurangi ketergantungan pada proses manual, tetapi juga meningkatkan akurasi dalam pengambilan keputusan, dengan skor akurasi evaluasi mencapai 93,18%. Kesimpulannya, sistem informasi yang dibangun dapat menjadi solusi digital yang andal dan terukur dalam proses penilaian kelayakan pinjaman koperasi. Selain itu, sistem ini dapat dikembangkan lebih lanjut sebagai model implementasi data mining dalam sektor keuangan mikro di Indonesia.

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