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All Journal Jurnal Ilmiah Informatika Komputer Informatics for Educators and Professional : Journal of Informatics JITK (Jurnal Ilmu Pengetahuan dan Komputer) KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer JURNAL MANAJEMEN INFORMATIKA (JUMIKA) Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal)
Cep Lukman Rohmat
STMIK IKMI Cirebon
Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Other

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Peningkatan Kapasitas Melalui Pelatihan Interaktif Penggunaan Aplikasi Digital QRIS Sebagai Alat Pembayaran Pada Desa Wisata Cemara Kulon Dian Ade Kurnia; Kaslani; Cep Lukman Rohmat
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 8 : September (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Cemara Kulon Village, Losarang District, Indramayu Regency is a village located on the north coast of the Java Sea. The name Cemara Kulon itself comes from the name of the Percantilan hamlet which used to be part of the main village, namely Cemara Village, which is now part of the Cantigi District area. The name Cemara comes from the name of a tree which is said to have previously lived in the Cemara Kulon area. The results of assistance in using the QRIS code were carried out 1 month after the assistance was carried out in using the QRIS code, after collecting the data, data reduction techniques or data analysis were carried out which were received by small business actors. before using the QR code and after small business actors use the QR code in the payment process. Before assisting small business actors, they only used cash media or cash payments, which meant that some consumers who were used to using cashless or non-cash media had to make payments in cash, especially in the current era where payment media mostly use transfer media such as m banking, Dana, QRIS code and so on. After providing assistance to small business actors, it is easier to provide services to consumers. Before using the QRIS code, small business actors are confused when someone wants to pay cashless. Consumers are increasing in buying several products from small businesses due to payment via QRIS code. The evaluation carried out after providing training and implementation assistance, there are several things that must be re-evaluated, including the need for scaled or gradual training or assistance for the use of the QRIS code due to the increasingly developing era of digitalization. Small business actors and producers must provide assistance or undergo training on the importance of using the QRIS code so that small business actors are not left behind by the era of digitalization.
Digitalisasi Wisata Desa: Pelatihan E-Ticket Untuk Kemudahan Kunjungan Di Desa Cisantana Dian Ade Kurnia; Kaslani; Cep Lukman Rohmat
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 09 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Local tourism development is an important effort to support economic growth and sustainability at the village level. Cisantana Village, with its abundant natural and cultural riches, has great potential to develop the tourism sector. However, to achieve its potential, efficient and transparent management is needed. One of the proposed solutions is through the use of a tourist e-ticket application. This situation analysis will describe the location of partners, cases that have occurred, social and cultural aspects, special problems faced, service methods or approaches used, as well as the implications of the results of service to the community . Cisantana Village is located in a rural area that has extraordinary natural and cultural tourism potential. Tourists often come to this village to enjoy the natural beauty, interact with local residents, and experience the rich traditional culture. However, in recent years, increasing tourist interest has also led to complex management problems. Cases that have occurred are a surge in tourist visits that are not well organized, ticket sales that are difficult to monitor, and difficulties in understanding the magnitude of the impact of tourism on the community. As a result of this community service, we also held a successful marketing campaign to promote the use of e-ticketing to tourists. Through social media, village websites, and physical promotional materials, the benefits of e-ticketing are clearly communicated. Travelers are provided with information on how e-ticketing can save them time, avoid long queues, and provide a more comfortable visiting experience. The results of this community service are very satisfying, with a significant increase in tourist visits and positive feedback from users. The digitalization of village tourism through e-ticketing training has opened new doors to ease and comfort in enjoying the charm of Cisantana Village.
Strategi Marketing Penerimaan Mahasiswa Baru Menggunakan Machine Learning dengan Teknik Clustering Raditya Danar Dana; Cep Lukman Rohmat; Ade Rizki Rinaldi
Jurnal Informatika: Jurnal Pengembangan IT Vol 4, No 2-2 (2019): Special Issue on Seminar Nasional - Inovasi Dalam Teknologi Informasi & Teknol
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v4i2-2.1879

Abstract

The marketing activity of new student admissions is one of the efforts undertaken by a university to maintain its existence in order to remain known and gain interest from the wider community. From the results of observations made at the research location, marketing activities carried out so far are still carried out in the same way from year to year without distinguishing the characteristics of the target prospective registrants, so the marketing pattern undertaken is not necessarily effective for all prospective applicants who have different characteristics - different . Therefore, it is necessary to make an effort to target target applicants based on certain characteristics to facilitate the determination of strategies and marketing patterns for new student admissions. The aim of this research is to group students' spread data using Machine Learning Technology approach using Clustering technique. This research resulted in the grouping of registrants in the admission activities of new students divided into 3 cluster groups, namely cluster 1 by 11%, cluster 2 by 56% and cluster 3 by 33%.
Aplikasi Pemesanan Online Barbershop Berbasis Android untuk Meningkatkan Layanan Cep Lukman Rohmat; Irfan Ali; Mulyawan Mulyawan; Tati Suprapti; Utami Aryanti
Jurnal Accounting Information System (AIMS) Vol. 4 No. 2 (2021)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v4i2.237

Abstract

The development of information and technology is a development that can be felt in everyday life, almost all activities already use digital. The problem in the barbershop business is the length of the queue which causes customers to feel bored or there are also busy customers. Therefore, technology is needed in the barbershop business. Based on these problems, it can be concluded that there is a need to build an android-based ordering application. The purpose of this research is to increase productivity, creativity, revenue and customer satisfaction. This study uses the stages of the Waterfall method. The Waterfall method is used as a reference in the process of making the online ordering application. The results of this study are an android-based online ordering application, this application is enough to help customers so they don't have to bother waiting in line at the barbershop because customers can set schedules on the application, especially during a pandemic like today. This application displays information about available time slots and those that have been booked by other customers so that customers can adjust their free time. The barbershop also does not need to register customers who place orders manually. This online booking application has passed trials with white box testing and black box testing methods. The result is that all the components contained in this online booking application system work as expected.
Sistem Pakar Identifikasi Hama Pada Tanaman Cabai dalam Upaya Meningkatkan Kualitas Cabai Cep Lukman Rohmat; Nana Suarna; Nining Rahaningsih; Elisa Sriyulia
INTERNAL (Information System Journal) Vol. 3 No. 1 (2020)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v3i1.297

Abstract

            The lack of supply of chili in the market causes the price to rise sharply. The price of chillies is almost unreasonable to far beyond the price of meat. Gray (Spodoptera litura) and Fungus colletotrichum are two of the main causes of chili plants which cause many chili plants to die or fail to harvest. must experience failure due to a lack of understanding of the beginning of the pest attacking the plants. In addition, the attack on chili plants is a high risk that must be faced by farmers.In this study using the Forward Chaining Method. Forward Chaining is an inference process that starts the search from the premise or input data in the form of symptoms leading to conclusions, namely the conclusion of pests that attack chilli plants and provide solutions for advice on handling and prevention based on observed symptoms. Data used from pest data caused by small animals such as caterpillars and flies.The results are expected to be able to identify quickly, precisely and accurately the chili plants. In addition, it is expected to be able to help farmers in anticipating the symptoms of the occurrence of pests in chili plants from an early age so that preventive measures will be taken immediately. Accuracy and accuracy are needed in identifying the symptoms of pest in accordance with the expected results.
ANALISIS MINAT BELI PRODUK FASHION MENGGUNAKAN ALGORITMA FP-GROWTH (FREQUENT PATTEN GROWTH) Tineka Handayani; Muhamad Aditya Sunaryo; Ade Rizki Rinaldi; Cep Lukman Rohmat
Jurnal Ilmiah Informatika Komputer Vol 29, No 1 (2024)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2024.v29i1.10808

Abstract

Toko Sahabat Collection adalah toko pakaian yang menjual berbagai produk fashion dan memiliki data penjualan yang sangat besar. Penjualan produk fashion di toko ini sangat diminati oleh pelanggan. Penelitian mencakup informasi penjualan produk dari tahun 2021 hingga tahun 2022, termasuk tanggal transaksi, code produk, barcode, dan item produk. Langkah awal dalam penelitian ini melibatkan pemilihan data dengan memilih atribut yang relevan dan menghapus data yang tidak lengkap. Selanjutnya, data yang sudah divalidasi diubah menjadi format tabular. Proses selanjutnya melibatkan penerapan teknik data mining, seperti algoritma asosiasi rule, untuk meningkatkan target penjualan. Penelitian ini bertujuan untuk mengetahui pola minat beli produk yang diminati oleh pelanggan di toko sahabat collection yang dapat dipengaruhi oleh beberapa faktor seperti harga kualitas produk dan kebutuhan customer. Minat beli konsumen dianggap sebagai faktor kunci yang sangat penting dalam ruang lingkup bisnis, penelitian ini menerapkan metode data mining asosiasi, dengan fokus khusus pada algoritma FP-Growth, untuk menganalisis pola pembelian produk secara bersamaan. Hasil dari penelitian ini menunjukkan 32 aturan dengan minimum support 0,1 dan confidence 0,8. Salah satu aturan terbaik yang dihasilkan adalah: jika pelanggan membeli Hijab Ar Rafi, Hijab Bergo Pita, dan Kaos Kaki Hitam Smp, maka kemungkinan besar mereka juga akan membeli Sepatu Nb K, support 0,105 (10%) dan Confidence 0,949 (94%).
Analisis Keadaan Stunting pada Kelompok Balita di Kecamatan Tukdana dengan Pendekatan Decision Trees Asep Budiyanto; Dodi Solihudin; Ryan Hamonangan; Cep Lukman Rohmat; Ade Rizki Rinaldi
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10230

Abstract

The impact of stunting on babies is an important parameter for assessing the health and welfare of children in an area. Stunting, often triggered by demographic and health factors, has serious implications for children's physical and cognitive growth. This research aims to understand the impact of demographic and health factors on stunting in children in Tukdana District, Indramayu Regency. Through data analysis, factors such as maternal age, access to clean water, sanitation facilities, and baby weight and length status were identified as significant contributors to stunting. The Decision Trees method was used to identify factors that play a role in stunting in babies, with an accuracy rate of 95.43%. The implications of this research include planning more effective interventions to deal with stunting, both in Tukdana District and in similar areas in Indonesia. Even though the majority of babies in Tukdana District have good nutritional status, further monitoring and prevention efforts are still needed to ensure optimal nutritional well-being for them. In conclusion, this research highlights the importance of identifying factors that cause stunting in infants in Tukdana District, as a basis for planning more effective interventions.
OPTIMIZATION IOT TECHNOLOGY IN WEATHER STATIONS FOR IMPROVE AGRICULTURAL SUCCESS DURING EL NIÑO ERA Dodi Solihudin; Odi Nurdiawan; Rudi Kurniawan; Cep Lukman Rohmat
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 2 (2024): JITK Issue November 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i2.5851

Abstract

The El Niño phenomenon is significant to global weather patterns, particularly in Indonesia, which adversely affects the agricultural sector, especially rice production. El Niño causes drastic changes in rainfall patterns, making it difficult for farmers to determine the right planting time. Limited access to accurate weather information is a major obstacle for farmers in planning their agricultural activities. This research aims to develop an Internet of Things (IoT)-based weather station capable of providing real-time and accurate weather data to support farmers' decision-making in their land management. The research method starts with observation in Babakan Jaya Village, Gabuswetan District, Indramayu Regency, to understand the local weather conditions and specific challenges faced by farmers. Next, the construction and implementation of a weather station equipped with sensors to measure various weather parameters such as temperature, humidity, wind direction and speed, and rainfall. The weather data collected by these stations is then processed and presented in real-time through a cloud platform, which allows access from computer devices and smart phones. The observation results from 1 June to 27 July 2024 showed that the air temperature ranged from 29°C to 35°C, humidity between 55% to 90%, and wind speed ranged from 0 to 7 km/h, with sporadic rainfall patterns. The developed IoT weather station successfully provides relevant and accurate weather data, which can be accessed in real-time by farmers. With this data, farmers can make more informed decisions in their land management, hopefully improving the efficiency and success of farming practices, especially in the midst of erratic weather conditions due to El Niño.
Co-Authors Abdul Rasyid Faiq Adinata Ade Irma Purnamasari Ade Rizki Rinaldi Andri Yanto Anwar Pauji Aria Pratama Asep Budiyanto Dea Eryanti Putri Dian Ade Kurnia Dilita Pramasmawari Lita Dodi Solihudin Elisa Sriyulia Farid Ali Ma'ruf Fazar Sidik Guntur Aji Saputra Heliyanti Susana Iin Iqbal Agis Junizar Irfan Ali Irma Sumiati Kaslani Martanto . Muhamad Aditya Sunaryo Muhammad Aji Pratama Muhammad Harun Al- Musa Mulyawan Nana Suarna Nining Rahaningsih Odi Nurdiawan Raditya Danar Dana Rahayu Arumsari Rudi Kurniawan Ruli Herdiana Ryan Hamonangan Saeful Anwar Siska Siska Tati Suprapti Tineka Handayani Umi Hayati Utami Aryanti Willy Prihartono