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All Journal ELINVO (Electronics, Informatics, and Vocational Education) Jurnal Sisfokom (Sistem Informasi dan Komputer) Dharma Bakti Media Informatika Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik Teknomatika: Jurnal Informatika dan Komputer
Landung Sudarmana
Universitas Jenderal Achmad Yani Yogyakarta
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Social Sciences Other

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Rancang Bangun Pemantau Daerah Endemik Malaria Berbasis IoT Menggunakan Metode Profile Matching Rama Sahtyawan; Landung Sudarmana
JURNAL PILAR TEKNOLOGI Jurnal Ilmiah Ilmu Ilmu Teknik Vol. 5 No. 1 (2020): JURNAL PILAR TEKNOLOGI
Publisher : LPPM Universitas Merdeka Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33319/piltek.v5i1.51

Abstract

Abstract— Malaria is an endemic disease transmitted by Anopheles mosquitoes, which causes increased morbidity and mortality (morbidity and mortality), maternal and child health disorders, intelligence, labor force productivity, and detrimental to tourism. From these problems, a tool was developed to monitor endemic malaria areas in real-time by using temperature and humidity data for an area. Then analyzed using the profile matching method to calculate the weight/score gap in temperature and humidity conditions using interpolation, the data will be sent by the DHT 11 sensor found on NodeMcu. The application used to find out in real-time using the Blynk application as an internet of things board with a Wifi connection for the next step NodeMcu requires coding using the Arduino IDE program, for testing the location system used consists of 5 locations namely: L1 = Jl.Magelang, L2 = Jl.Maguwoharjo, L3 = Jl.Babarsari, L4 = Jl.Wates km9, L5 = Jl.Ali times km 8. Obtained temperature and humidity data (L1 = 36.30), (L2 = 18.32), (L3 = 23.45), (L4 = 38.33), (L5 = 35.53), then the gap weight calculation using the interpolation method obtained temperature and humidity data (L1 = 3,800; 3,974), (L2 = 4,600; 4,179), (L3 = 5,000; 5,000), (L4 = 3,400; 4,282), (L5 = 4,000; 5.00), the results obtained from rank 5 locations are malaria-endemic areas, rank 1 = L3-Babarsari, rank 2 = L5-Jl.Kaliurang km 8, rank 3 = L2-Jl.Maguwoharjo, rank 4 = L1-Jl.Magelang, rank 5 = L4-Jl.Wates. from the ranking data, the location must be prioritized L3-Babarsari. Keywords—: Malaria; DHT 11, NodeMCU; Profile Matching; Blynk.
Pembekalan Teknologi Informasi Untuk Menyongsong Era Industri 4.0 Pada Siswa SMK Muhammadiyah Piyungan Landung Sudarmana; Titik Rahmawati; Agung Priyanto
DHARMA BAKTI Dharma Bakti-Vol 5 No 1-April 2022
Publisher : LPPM IST AKPRIND Yogyakarta

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

Abstract

Indonesia is facing the Industrial Revolution 4.0, an era where technologicaldevelopments are applied to various aspects, including manufacturing with artificialintelligence (AI) support which is also supported by internet of things (IoT) technology,human-machine interfaces, robotic and sensor technology, and three-dimensional (3D)printing technology that supports the industry. Changes in the world of work that areinfluenced by the Industrial Revolution 4.0 are challenges for Vocational High School(SMK) graduates. This is because many fields of work that have been filled with human laborhave been replaced by technology, machines, robots, or artificial intelligence. As a result,many graduates who should be able to work immediately are threatened to be unemployed.Efforts to be able to compete in the Industrial Revolution, educational institutions playan important role. They must be able to equip their students the abilities to keep up withchanges that occur quickly. As an anticipation, SMK Muhammadiyah Piyungan held abriefing activity with a face-to-face lecture methodology so that there was an interactivebetween students and the presenters.The results of this community service are expected to provide provisions for studentsto become competent and ready to work in that era. For institutions, the results are expectedto provide inputs, in the form of overviews, to the curriculum makers in accordance with theIndustrial Revolution era
Membangun Sistem Informasi Pendaftaran Nikah di Kantor Urusan Agama Gamping Berbasis Web Mario Soemriyat Sengga Sae; Titik Rahmawati; Landung Sudarmana
Media Informatika Vol 20 No 3 (2021)
Publisher : P3M STMIK LIKMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (642.065 KB) | DOI: 10.37595/mediainfo.v20i3.78

Abstract

Pendaftaran nikah di Kantor Urusan Agama Kecamatan Gamping, calon pengantin mendaftarkan pernikahan dengan mendatangi kantor dengan menyerahkan dokumen persyaratan nikah. Pencatatan dan pengelolaan dokumen administrasi pernikahan dilakukan oleh pegawai. Setelah proses pencatatan nikah selesai maka pegawai akan melakukan penjadwalan ijab kabul. Proses terakhir yaitu pembuatan laporan pernikahan seperti buku nikah dan lainnya sehingga di saat pandemi covid  perlu adanya sistem yang dapat mengolah data pendaftaran nikah berbasis online.Sistem dibuat menggunakan bahasa pemrograman PHP dan MySQL sebagai basis data. Sistem ini juga diintegrasikan dengan framework CSS Bootstrap sehingga desain tampilannya akan bersifat responsif. Sistem ini dibangun menggunakan metode waterfall. Hasil penelitian adalah membangun sistem informasi yang dapat membantu pegawai mengolah data pendaftaran dan memberikan informasi mengenai jadwal kepada calon pengantin. Sistem ini memiliki beberapa fitur diantaranya pendaftaran nikah, unggah berkas dokumen persyaratan, jadwal nikah dan laporan pendaftaran nikah.
Klasterisasi Penjawab Berdasar Kualitas Jawaban pada Platform Brainly Menggunakan K-Means Puji Winar Cahyo; Landung Sudarmana
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 2 (2022): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i2.1314

Abstract

Brainly is a Community Question Answering (CQA) educational platform that makes it easy for users to find answers based on questions posed by students. Questions from students are often answered quickly by many answerers interested in the field being asked. The number of available answers is the choice of students to be able to receive answers and give a good rating to the answerer. Based on the number of good ratings, an answerer can be said to be an expert in certain subjects. Therefore, this research focuses on finding expert answering groups who have quality answers. K-means clustering is possible to group the answering data into two different clusters. The first cluster is expert users with ten respondents, and The second cluster is a non-expert cluster with 474 respondents. The expert cluster data is expected to help the questioner to be able to ask questions directly to the experts and obtain quality answers. Meanwhile, the number of clusters is determined based on the test results using a silhouette score that obtains a value of 0.971, with the optimal number of clusters being two clusters.
A Comparison of K-Means and Agglomerative Clustering for Users Segmentation based on Question Answerer Reputation in Brainly Platform Puji Winar Cahyo; Landung Sudarmana
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (269.454 KB) | DOI: 10.21831/elinvo.v6i2.44486

Abstract

Brainly is a question and answer (QA) site that students can use as a media for questions and answers. Students can also use Brainly to find and share educational information that helps students solve their homework problems. In Brainly, users can answer questions according to their interests. However, it could be that the interest is not necessarily following the competencies possessed. It causes many answers to the questions given not to have a high rating because the answers given are of low quality to be prioritized as the main answer. This study aims to apply the K-Means and Agglomerative Clustering methods to segment users based on the reputation of the answerers by conducting clustering based on track records in answering questions on mathematics subjects. This study used the number of the brightest scores and the number of answers that did not get a rating as the basic features for clustering. The comparison between the two methods used is based on the Silhouette Score, representing the quality of the clustering results, calculated by applying the Silhouette Coefficient method. This study result indicates that the K-Means method gives better results than the Agglomerative Clustering. The Silhouette Score generated by the K-Means method is higher at 0.9081 than the Agglomerative Clustering method, which is 0.8990, which produces two clusters or two segments.
Rancang Bangun Sistem Peringatan Dini Bencana Banjir Di Kabupaten Madiun Berbasis Website Dan SMS Gateway Menggunakan Mikrokontroller Arduino Halillur Nur Afandi; Landung Sudarmana; Dayat Subekti; Nafisa Alfi Sa'diya
Jurnal Teknomatika Vol 13 No 2 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i2.1111

Abstract

Madiun Regency is one of the districts on the island of Java, precisely in the province of East Java. Based on research from the Center for Volcanology and Geological Disaster Mitigation (PVMBG), Madiun City has several potential disasters, one of which is flooding with a high category. This is because Madiun Regency has two streams, namely Kali Sono and Kali Piring which head up on the slopes of Mount Wilis, Madiun Regency. Both times it ended in the Jerohan River in the Balerejo District, Madiun Regency which is a tributary of the Bengawan Madiun River. When heavy rains fell, parts of Madiun City were immediately inundated by flood waters. To anticipate floods, this research proposes a prototype design of a flood disaster early warning system using multiple sensors based on the Global System for Mobile Communications (GSM) in Madiun Regency. Which in the design uses the waterfall and Arduino methods. The prototype built is able to provide early warning information. The data that has been taken can be displayed on the web which functions as a monitoring system, so that officers can carry out supervision more easily and take action when the situation is dangerous. With the prototype and the system made, it is expected to be able to minimize losses caused by floods.
Klasterisasi Obat Berdasarkan Tipe dan Komposisi Sejenis pada Bagian Farmasi Rumah Sakit Queen Latifa Nurul Imam Prayogo; Puji Winar Cahyo; Landung Sudarmana; Nurul Fatimah
Jurnal Teknomatika Vol 13 No 2 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i2.1120

Abstract

One important element in maintaining and improving the quality of healthcare services is the availability of adequate medication. Drugs are a crucial component used in the provision of healthcare services, and the expenses associated with them constitute a significant portion of overall healthcare costs. The implementation of data mining can aid in analyzing drug usage to obtain information that can be utilized for planning and controlling drug inventory, with one of the methods being the utilization of the K-Means algorithm. The K-Means algorithm is the most popular and widely used clustering method in data mining. This research aims to facilitate pharmacy personnel in identifying groups of drug types with similar characteristics and compositions. As a result, the categorization of a large number of drugs can be performed more efficiently and accurately. Moreover, with the grouping of drugs based on similar characteristics and compositions, pharmacy personnel can easily monitor the availability of specific medications and take appropriate actions in managing drug supplies at the hospital.
RANCANG BANGUN SISTEM PENYIRAMAN OTOMATIS MENGGUNAKAN SENSOR KELEMBABAN TANAH PADA TANAMAN SELEDRI BERBASIS NodeMCU ESP8266 Muhammad Chanafi; Landung Sudarmana; Fajar Syahruddin
Jurnal Teknomatika Vol 13 No 2 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i2.1136

Abstract

Celery is the one of the vegeTabels that has several benefits, it can be used as a complement for cooking and it has medical function. Several factors that influence the growth of celery are soil and air conditions. These conditions must be always monitored so that the growth of celery becomes fertile. The design of automatic watering monitor system use soil’s moisture sensor, it can help the farmers and celery cultivators to increase the productivity and quality of celery cultivation. By using the NodelMCU ESP8266, which is equipped by a soil’s moisture sensor and DHT11 sensor. Thus, it can monitor the condition of soil’s moisture, air temperature, humidity, and record the data that can be stored in database and displayed on a web page by using Tabel form. This research produces a prototype system that can be able to monitor soil’s moisture conditions, air temperature and humidity in celery cultivation, it can be used to monitor soil conditions in order to maintain the humidity.
Co-Authors Agung Priyanto dayat subekti Fajar Syahruddin Halillur Nur Afandi Mario Soemriyat Sengga Sae Muhammad Chanafi Nafisa Alfi Sa'diya Nurul Fatimah Nurul Imam Prayogo Puji Winar Cahyo Rama Sahtyawan Titik Rahmawati