Articles
<![CDATA[Algoritma Apriori Untuk Menemukan Pola Aturan Asosiasi ]]>
<![CDATA[Wahju Tjahjo Saputro]]>;
<![CDATA[Hamid Muhammad Jumasa]]>;
<![CDATA[Murhadi Murhadi]]>
<![CDATA[ INTEK : Jurnal Informatika dan Teknologi Informasi Vol. 3 No. 1 (2020) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Purworejo ]]>
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DOI: 10.37729/intek.v3i1.167
<![CDATA[Association is one of the methods in data mining, which is looking for a similar pattern in data transactions or certain items that often appear. So that the supermarket manager can determine in making decisions on the pattern of items purchased together and often appears in the database. In order to generate patterns from association rules, there are several algorithms that can be used. First pioneered by the AIS Algorithm, then increased memory performance by the Apriori algorithm. The Apriori algorithm process involves several steps. Such as determining the minimum support, confidence, candidate itemset. The process continues until the pattern is obtained according to the support and confidence criteria of the minimum threshold value. Most of the algorithms used to find patterns of association rules start with the Apriori algorithm, then progress to the Apriori series algorithm. But there are two obstacles to the Apriori algorithm. One of them is the process of making complex candidates that mostly require time, space, and memory. Another problem is the repeated scanning of large-scale databases.]]>
<![CDATA[Memprediksi Daftar Ulang Mahasiswa Baru Menggunakan Algoritma Bayesian Classification Di Universitas XYZ ]]>
<![CDATA[Wahju Tjahjo Saputro]]>;
<![CDATA[Hamid Muhammad Jumasa]]>
<![CDATA[ INTEK : Jurnal Informatika dan Teknologi Informasi Vol. 1 No. 2 (2018) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Purworejo ]]>
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DOI: 10.37729/intek.v1i2.566
<![CDATA[This study analyzes the PMB data in 2016. The PMB process at XYZ University has several paths, namely Regular, Transfer, and Bidikmisi. When the PMB process difficulties are encountered one of them is the number of prospective students who do not register again is increasing. Based on the identification of problems and information from officers the most important thing is the number of prospective students who do not re-register is increasing every year, thus affecting the impact of the number of PMB receipts. This study resolves these problems using the Bayesian Classification Algorithm so that the opportunity to re-register students can be known earlier. Based on the research conducted, it was concluded that the TDU class was 55% greater than the 45% DU class. This means that prospective students who do not completely re-register all study programs are larger. It was explained that PBSJ study programs 100% no prospective students who re-register. The Economic Education study program still has the opportunity of 75% of prospective students who are DU. 100% Physics Education study program no prospective students register. The Civil Engineering study program has a 25% chance that prospective students will be DU. The Agribusiness Study Program has the opportunity of 75% of prospective students doing DU. The 90% Animal Husbandry Study Program has no chance for prospective students to register. The Psychology study program has the same opportunities as the Animal Husbandry study program which is 90%, there is no chance that prospective students register. For the Law study program, it is possible for 90% of prospective students to register.]]>
<![CDATA[Prototipe Penyiram Tanaman Dan Pengukur Kelembaban Tanah Berbasis Arduino Uno ]]>
<![CDATA[Hamid Muhammad Jumasa]]>;
<![CDATA[Wahju Tjahjo Saputro]]>
<![CDATA[ INTEK : Jurnal Informatika dan Teknologi Informasi Vol. 2 No. 2 (2019) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Purworejo ]]>
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DOI: 10.37729/intek.v2i2.790
<![CDATA[Agricultural land is currently increasingly narrow, so agricultural technology develops hydroponic crop models. The microcontroller in the Arduino UNO unit is also growing so that the Internet of Things technology is increasingly rapid and widely used in life. The problem of narrow land used for plants requires soil moisture as needed. This can be solved using Arduino UNO as a data acquisition system and the YL-69 sensor as a soil moisture reading tool.This study aims to implement the YL-69 sensor and Arduino UNO to detect whether the soil media used in the hydroponic plant model is moist or dry. The sketch used is Arduino 1.8.0 software. Then the Fritzing software is used to create a circuit schema. The series tests were performed on both dry and wet soil conditions. This research was in the form of a watering plant prototype. When the dry media is detected, the sensor will send data to the Arduino UNO unit, then the microcontroller on the Arduino UNO gives instructions to the Mini Submersible Water Pump to irrigate the soil.The results showed the YL-69 sensor was able to detect dry soil conditions. Data sent to the serial monitor is in the form of a data string that is "Dry Conditions" or "Humid Conditions". This means that prototypes of watering plants and measuring soil moisture have been successful. However, further research is still needed to find out how much moisture the soil media. So the prototype can regulate the performance of the Mini Submersible Water Pump in delivering water to plant media.]]>
<![CDATA[Rancang Bangun Sistem Informasi Akademik Menggunakan Framework Codeigniter Pada universitas Muhammadiyah Purworejo ]]>
<![CDATA[Widatama Krisna]]>;
<![CDATA[Hamid Jumasa Muhammad]]>;
<![CDATA[Nadia Ambadar]]>
<![CDATA[ Jurnal Sistem Cerdas Vol. 5 No. 2 (2022) ]]>
Publisher : <![CDATA[APIC ]]>
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DOI: 10.37396/jsc.v5i2.187
<![CDATA[Academic Information System is a system that provides services that are academic data information designed in accordance with business processes that run to improve the performance and quality of academic services. This academic information system has many benefits for institutions in the field of education, be it in the processing of teaching data, value data, and other data related to academic learning in this case, especially universities. The problem that exists today is the absence of an academic information system at the University of Muhammadiyah that is able to store all academic data. Therefore, academic information systems that can meet the needs are very necessary. This research discusses the design of web-based systems using codeigniter 3 framework which is expected to produce an academic information system that meets the needs.]]>
<![CDATA[Sistem Informasi Pengelolaan Inventaris Laboratorium Komputer Di SMK Muhammadiyah Purworejo ]]>
<![CDATA[Dwiki Andrianto]]>;
<![CDATA[Hamid Muhammad Jumasa]]>;
<![CDATA[Ike Yunia Pasa]]>
<![CDATA[ INTEK : Jurnal Informatika dan Teknologi Informasi Vol. 5 No. 2 (2022) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Purworejo ]]>
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DOI: 10.37729/intek.v5i2.1906
<![CDATA[SMK Muhammadiyah Purworejo adalah sebuah lembaga pendidikan kejuruan yang berdiri sejak tahun 2008, sebagai salah satu Sekolah Menengah Kejuruan di Kabupaten Purworejo yang melaksanakan pendidikan dan pelatihan di bidang teknologi dan ekonomi syariah. Pada penelitian ini akan dibahas mengenai pengelolaan inventaris barang yang ada di laboratorium komputer SMK Muhammadiyah Purworejo. Dalam pengelolaannya selama ini, terdapat beberapa masalah yang terjadi didalam proses pendataan barang dan laporan barang yang masih dilakukan dengan cara manual yakni dengan mencatat di buku kemudian dimasukan ke dalam microsoft excel. Cara tersebut dapat menyebabkan resiko kehilangan data, karena data hanya disimpan dalam buku serta file excel. Tujuan dari penelitian ini adalah membangun sistem informasi yang diharapkan dapat meningkatkan kualitas pengelolaan data barang inventaris laboratorium sehingga memudahkan kepala laboratorium dalam mengelola kedua ruang laboratorium komputer. Sistem informasi dibangun dengan menggunakan metode System Development Life Cycle (SDLC) Waterfall. Hasil penelitian ini yaitu mempermudah dalam proses pendataan barang dan pengadaan barang. Semua fitur pada sistem ini telah valid berdasarkan hasil Black-box Testing dan memperoleh nilai presentase rata-rata 80 % yang berarti sistem masuk dalam kategori baik dan sudah layak diterapkan di SMK Muhammadiyah Purworejo.]]>
<![CDATA[Sistem Informasi Penjualan di Koperasi Karyawan Surya Menggunakan Model Waterfall ]]>
<![CDATA[Risma Hardini]]>;
<![CDATA[Hamid Muhammad Jumasa]]>;
<![CDATA[Wahju Tjahjo Saputro]]>
<![CDATA[ INTEK : Jurnal Informatika dan Teknologi Informasi Vol. 5 No. 2 (2022) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Purworejo ]]>
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DOI: 10.37729/intek.v5i2.2398
<![CDATA[Purworejo Muhammadiyah University's Surya co-worker, one of which is a chain store unit. In this unit, employees record and manage data of unconventional sales transactions. Receipts of cash payment information, the use of vouchers, and information for incoming and outgoing goods are made in writing on the transaction receipt sheet. It allows for record sales transactions to be damaged or lost. Furthermore, end-of-year report must collect all of the transaction records for a given time. Researchers built an information system on Purworejo Muhammadiyah University's Surya worker cooperative in the Purworejo business unit for processing data sales transactions of both members and nonmembers. Sis-tem development using the Waterfall Model. The methods of data collection that researchers use are observation, interviews, and library studies. This sales information system was built using the Framework Codeigniter 3. Based on the Black Box testing by using the Beta Method obtained an average percentage value of 82% which means a system built worthy to be used by employees in the store business unit on Purworejo Muhammadiyah University's Surya staff.]]>
<![CDATA[Implementasi Augmented Reality Pada Materi Praaksara Mata Pelajaran Ilmu Pengetahuan Sosial ]]>
<![CDATA[Kharisma Arif Al Hakim]]>;
<![CDATA[Murhadi]]>;
<![CDATA[Hamid Muhammad Jumasa]]>
<![CDATA[ INTEK : Jurnal Informatika dan Teknologi Informasi Vol. 5 No. 2 (2022) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Purworejo ]]>
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DOI: 10.37729/intek.v5i2.2403
<![CDATA[Augmented Reality adalah teknologi yang menggabungkan benda maya dua dimensi dan ataupun tiga dimensi ke dalam sebuah lingkungan nyata tiga dimensi lalu memproyeksikan benda-benda maya tersebut dalam waktu nyata. Augmented Reality sudah berkembang di dunia pendidikan, salah satunya sebagai media pembelajaran. SMP N 43 Purworejo merupakan salah satu sekolah menengah yang sedang berkembang. Media pembelajaran yang digunakan masih menggunakan metode konvensional terutama pada mata pelajaran sejarah tentang kehidupan pada masa praaksara. Tujuan dilakukannya penelitian ini yaitu membuat sebuah media pembelajaran yang inovatif dan menarik yang dapat mempermudah dan mengenalkan benda praaksara dalam bentuk yang lebih nyata pada siswa. Teknik pengumpulan data pada penelitian ini yaitu observasi, wawancara dan kuesioner. Sumber data diperoleh dari guru mata pelajaran Ilmu pengetahuan Sosial (IPS) dan Siswa kelas 7 dan 8 SMP N 43 Purworejo. Pembuatan Augmented Reality menggunakan metode Multimedia Development Life Cycle (MDLC). Software yang digunakan adalah Unity, Vuforia, Blender. Desain tampilan dibuat menggunakan aplikasi Photoshop. Aplikasi Visualisasi Benda Purba Berbasis Augmented Reality ini diuji menggunakan Black Box Testing dengan hasil lulus uji fungsional sistem, dan menggunakan pengujian System Usability Scale (SUS) menggunakan kuesioner dengan hasil mudah digunakan dapat dipahami dengan cepat. Berdasarkan nilai rata-rata skor System Usability Scale (SUS) diperoleh nilai 88,7. Nilai rata-rata ini masuk ke dalam masuk rating excellent yang artinya aplikasi memiliki kualitas yang sangat baik dan layak digunakan. Kata kunci: Augmented Reality, Masa Praaksara, System Usability Scale, MDLC.]]>
<![CDATA[Pendampingan Pembuatan Pupuk Kompos Bagi Petani Desa Bedono Kluwung Kecamatan Kemiri Purworejo ]]>
<![CDATA[Hamid Muhammad Jumasa]]>;
<![CDATA[Dwik Widodo]]>;
<![CDATA[Angger Sakti Fitrah]]>
<![CDATA[ BIDIK: Jurnal Pengabdian kepada Masyarakat Vol. 3 No. 2 (2023): Bidik: Jurnal Pengabdian kepada Masyarakat ]]>
Publisher : <![CDATA[Fakultas Ilmu Budaya Universitas Lancang Kuning ]]>
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DOI: 10.31849/bidik.v3i2.13281
<![CDATA[Indonesia is one of countries that produces waste as much as 21,88 million tons in 2021. Waste is a last thing, which has not been used (wasted), that sources from the impact of human activities, or natural that has not had economic value. The waste management, which has not been handled well, becomes a problem until it can affect soil to groundwater channel pollution. The waste management in Sido Luhur Hamlet, Bedono Kluwung Village, Kemiri Subdistrict, Purworejo to date is still with the way of burning directly without being sorted that is based on the waste types. This problem becomes a serious concern for the village government. To strengthen the education of an importance of maintaining environment cleanliness, the dedication team socialized waste treatment to be compost. This activity was participated by fifteen RT 003 RW 003 Sido Luhur Hamlet inhabitants. Together with the dedication team, the inhabitants exploited organic waste, and goat feces that were mixed with EM4 solution and produced a sample of solid and no smell compost.]]>
<![CDATA[Menemukan Pola Sebaran Vaksinasi Data Covid-19 di Indonesia Menggunakan Algoritma K-Means ]]>
<![CDATA[Wahju Tjahjo Saputro]]>;
<![CDATA[Murhadi Murhadi]]>;
<![CDATA[Hamid Muhammad Jumasa]]>
<![CDATA[ JURNAL FASILKOM Vol 13 No 02 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) ]]>
Publisher : <![CDATA[Unversitas Muhammadiyah Riau ]]>
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DOI: 10.37859/jf.v13i02.5551
<![CDATA[Sejak kasus Covid-19 pertama di Indonesia ditemukn pada 2 Maret 2020, pertumbuhan okupansi positif penderita Covid-19 semakin meningkat. Pemerintah membuat kebijakan dalam meminimalisir tingkat sebaran virus Covid-19, salah satu cara yaitu menggalakkan program vaksinasi untuk menciptakan pembentukan kekebalan tubuh. Program vaksinasi Covid-19 di Indonesia di mulai pada 13 Januari 2021. Pemerintah mencanangkan vaksin di 34 provinsi mulai 13 Januari 2021. Program tersebut ditargetkan selesai Desember 2021. Tujuan penelitian ini yaitu, menemukan pola pengelompokan hasil vaksinasi di Indonesia dengan Algoritma K-Means, yang diselesaikan dengan aplikasi Rapid Miner. Perhitungan Davies Bouldin Index juga dilibatkan dalam penelitian ini. Data yang digunakan vaksinasi 12 Februari 2021 hingga 24 Juli 2022 diambil dari halaman resmi Kementerian Kesehatan. Data vaksinasi yang diamati sebanyak 2.056 record. Dari interval tersebut ditentukan tiga variabel yaitu data dosis I, dosis II dan dosis III pada 416 kabupaten dan 98 kota dengan lima kategori Lansia usia ≥ 60 tahun, tenaga medis, anak 12 – 17 tahun, layanan publik, masyarakat umum dan rentan. Penelitian ini menghasilkan kluster 1 tertinggi sebanyak 1890, kluster 2 sebanyak 141, kluster 3 terendah sebanyak 25. Kemudian nilai Bouldin Index terkecil 0,487.]]>
<![CDATA[The Implementation of Simple Additive Weighting Method in deciding Apprentice Assistant ]]>
<![CDATA[Hamid Muhammad Jumasa]]>;
<![CDATA[Wahju Tjahjo Saputro]]>
<![CDATA[ Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2022): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi ]]>
Publisher : <![CDATA[Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning ]]>
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DOI: 10.31849/digitalzone.v13i1.9880
<![CDATA[An internship is a mandatory course to be taken by a sixth-grader. Students should finish the course by either apprenticing or making a product in the form of software. The problem often is that students enroll and choose partners. The student files already stored should be matched to the data of the previous semester conventionally. Another problem is that students select partners based not on the field of interest but based on following their friends. Students have difficulty completing an apprenticeship. Therefore, the study examined the identification of an apprentice by using the simple, adapting method, the research object was the student of the semester VI apprentice, the method of storing data using literature, observation, and interviews. Research results from simple standard weighting show K1 criteria at 0.75, K2 at 0.5, structural criteria at 0.25, and requirement criteria of 1. The results of the accuracy test are 80% so that the SAW method can be developed as a decision support system in determining internship lecturers based on the student's field of interest.]]>
