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All Journal Jurnal Dedikasi Sosioinforma Scientific Journal of Informatics CESS (Journal of Computer Engineering, System and Science) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Muaddib : Studi Kependidikan dan Keislaman JTERA (Jurnal Teknologi Rekayasa) Prosiding Seminar Nasional Teknoka Indonesian Journal of Information System SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Informatika Universitas Pamulang Sebatik Multitek Indonesia : Jurnal Ilmiah Legal Standing : Jurnal Ilmu Hukum KOMPUTEK J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Tekno Kompak International Journal of Industrial Optimization (IJIO) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Responsif : Riset Sains dan Informatika EXPLORER Society: Jurnal Pengabdian Masyarakat International Journal Artificial Intelligent and Informatics Jurnal Komtekinfo Journal of Software Engineering and Information System (SEIS) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) AMMA : Jurnal Pengabdian Masyarakat Journal of Engineering and Technological Sciences Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika
Ida Widaningrum, Ida
Program Studi Teknik Informatika Universitas Muhammadiyah Ponorogo
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Analisa Penggunaan K-Gram pada Karakter, Kata dan Kalimat untuk Mendeteksi Kesamaan Dokumen Ida Widaningrum; Dyah Mustikasari; Rizal Arifin; Erika Diyah Cahyani
Prosiding Seminar Nasional Teknoka Vol 5 (2020): Prosiding Seminar Nasional Teknoka ke - 5
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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

Abstract

The use of digital technology is now a necessity; one of its components is documents. Similarity detection can use a variety of methods, including the fingerprinting method. Fingerprint has a working principle using hashing techniques and K-gram. This research is focused on the detection model using Kgram using the winnowing algorithm and python as a programming language. The k-gram parsing test uses 5 k pieces, namely k = 2 k = 3 k = 4 k = 5 k = 6. As a result, the character parsing gets a larger percentage than the manual character percentage. The percentage of word parsing has the closest percentage of the manual percentage. while in sentences, the percentage is the lowest than the manual percentage.
Penggunaan Algoritma Naïve Bayes Untuk Menentukan Pemberian Kredit Pada Koperasi Desa Ika Nurjanah; Jamilah Karaman; Ida Widaningrum; Dyah Mustikasari; Sucipto Sucipto
Explorer Vol 3 No 2 (2023): July 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v3i2.766

Abstract

Giving credit to customers is a routine activity carried out by a cooperative, as happened in the Subur Sari Forest Village Community Institution Cooperative (LMDH) in Pudak Wetan Village, Ponorogo Regency. Non-performing or bad loans often occur due to a lack of thorough analysis in the credit granting process. This happens because the management is less careful in determining which applicants are eligible for loans. Therefore, customer eligibility analysis is fundamental in determining whether a customer is eligible or not to get a loan. One way to determine creditworthiness is to use the Naïve Bayes algorithm. This study aims to apply data mining methods to classify eligible, and ineligible customers based on historical customer data in the past then used to predict the feasibility of future customers using the Naïve Bayes algorithm. The results of testing the credit classification system using the black box stated that the system was able to run according to the algorithm and could determine whether or not the customer deserved credit.
Peningkatan Mutu dan Kualitas UMKM Dengan Membangun Brand dan Brand Exposure Untuk Memperluas Segmentasi Pasar Fauzan, Fahrul Alvin; Lestari, Erma Puji; Ardio, Karisma; Widaningrum, Ida
Society : Jurnal Pengabdian Masyarakat Vol 2, No 2 (2023): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v2i2.267

Abstract

This paper aims to describe the improvement in the quality and quality of MSMEs in Manuk village, Siman sub-district, Ponorogo district by building a brand and brand exposure to MSME products in the village so that the products can be better known so that the market segmentation reached becomes wider, so that it is expected to increase sales value and product sales. This activity is one of the work programs carried out by the group in the University of Muhammadiyah Ponorogo KKN program as a form of community service where it is hoped that this activity will have an impact on the Manuk village community, especially the MSME sector in the village can develop so that community welfare also increases. The program being carried out is in the form of designing a logo and making stickers as the identity of MSME products and making attractive packaging so that the product is more attractive to consumers.
KESENIAN KEBO BULE SEBAGAI STRATEGI PENGEMBANGAN WISATA PADA OBJEK WISATA RELIGI DESA SUKOSARI KECAMATAN BABADAN KABUPATEN PONOROGO Rudianto, Rudianto; Widaningrum, Ida; Widiyahseno, Bambang
Sebatik Vol. 26 No. 1 (2022): Juni 2022
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v26i1.1597

Abstract

Penelitian ini dilatar belakangi adanya kontraproduktif masyarakat pemerintah desa dalam mengembangkan objek wisata desa. Sedangkan potensi desa memiliki cagar budaya berupa makam dan masjid Kiai Imam Puro salah seorang tokoh penyebar agama Islam pertama kali di Ponorogo bagian barat tahun 1748 M dan banyak dikunjungi peziarah tidak kurang 1000 orang setiap tahunnya. Potensi lain seperti paguyuban kesenian kebo bule, reog, pengrajin UMKM, pasar, dan lahan kosong di sekitar cagar budaya belum diberdayakan dengan baik. Oleh karena itu penelitian ini bertujuan untuk menunjukkan kepada publik tentang strategi pengembangan wisata pada objek wisata religi desa Sukosari Kecamatan Babadan Kabupaten Ponorogo. Jenis dari penelitian ini adalah penelitian kualitatif dengan pendekatan fenomenologis. Untuk mengumpulkan data menggunakan teknik observasi, wawancara, dokumentasi, dan Focus Group Discussion (FGD). Data primer diperoleh melalui informan kunci yaitu pengurus masjid dan makam Imam Puro, kepala desa Sukosari, tokoh masyarakat, ketua paguyuban seni dan budaya, peziarah makam, dan warga setempat. Adapun untuk data sekunder diperoleh melalui dokumen, manuskrip, buku sejarah, artikel, website dan sumber lain yang relevan dengan teman penelitian. Untuk menganalisis data peneliti menggunakan teknik analisis SOAR (Strangths, Opportunities, Aspirations, dan Results). Hasil penelitian menunjukkan bahwa strategi pengembangan wisata desa yang dapat dikembangkan antara lain: pertama, Pengembangan pengelolaan cagar budaya berupa makam dan masjid Kyai Imam Puro; kedua, pemberdayaan kesenian kebo bule, reog, UMKM, dan potensi pasar untuk destinasi wisata desa; dan ketiga, pemanfaatan lahan kosong di sekitar makan dan masjid untuk rest area dan pertunjukan seni dan menjajakan produk-produk lokal.
SUPPORT VECTOR MACHINE ALGORITHM FOR EARLY DETECTION SYSTEM FOR MENTAL EMOTIONAL DISORDERS IN ADOLESCENTS Muthya Cahyani Putriabhimata; Ida Widaningrum; Dyah Mustikasari
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 5 No. 1 (2025)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v5i1.8351

Abstract

A mental-emotional disorder is a condition characterized by emotional fluctuations that, if left untreated, might progress into an abnormal state. In Indonesia, the treatment of mental problems is infrequently conducted due to a scarcity of psychiatric personnel and the high expenses associated with comprehensive mental health therapy and treatment. An early detection system for mental-emotional illnesses in teenagers was developed by implementing the Support Vector Machine (SVM) algorithm as a solution to this issue. The Support Vector Machine algorithm is a very accurate classification approach. This study utilizes data that is categorized into two distinct groups: anxiety and depression. The data is partitioned in an 80:20 ratio, with 80% allocated for training data and 20% for test data. The research findings indicate that the testing accuracy levels yielded a value of 85%. The value is derived using the RBF kernel with a gamma value of 0.1 and a C value 10. The Support Vector Machine model is implemented within the Graphical User Interface (GUI). The user experience questionnaire was assessed on the Graphical User Interface, resulting in a user experience score within the "good" category.
PENGGUNAAN ALGORITMA K-NEAREST NEIGHBOR (K-NN) UNTUK PREDIKSI CUACA DENGAN DATA RECORD Verian Dwi Saputra, Rezano; Tsaqila, Siti Lathifah; Widaningrum, Ida; Karaman, Jamilah
MULTITEK INDONESIA Vol 18, No 2 (2024): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/mtkind.v18i2.11092

Abstract

Desa Plancungan, Kecamatan Slahung, Kabupaten Ponorogo, merupakan penghasil tembakau,  salah satu produk pertanian yang berperan penting dalam mendukung mata pencaharian,  pertumbuhan ekonomi, dan penyerapan tenaga kerja. Di desa ini, petani membudidayakan  tembakau rajangan, termasuk tembakau Virginia. Namun, proses penjemuran tembakau yang  dilakukan di ruang terbuka selama dua hingga tiga hari sangat bergantung pada kondisi cuaca  yang tidak menentu, yang sering kali memengaruhi kualitas hasil panen. Untuk mengatasi  tantangan tersebut, penelitian ini menerapkan algoritma K-Nearest Neighbor (K-NN) guna  memprediksi cuaca di Desa Plancungan. Data cuaca dikumpulkan menggunakan alat  mikrokontroler yang dipasang di lokasi, yang merekam tiga parameter utama: suhu,  kelembapan, dan tekanan udara. Dari total 10.000 data yang diperoleh, sebanyak 2.500 data  digunakan untuk pelatihan dan pengujian algoritma. Hasil penelitian berupa prediksi cuaca—hujan, cerah, atau berawan—ditampilkan dalam bentuk halaman web. Informasi ini memungkinkan petani mendapatkan gambaran kondisi cuaca lebih awal, sehingga mereka dapat merencanakan langkah antisipasi untuk menjaga kualitas hasil panen dan mengoptimalkan  proses penjemuran tembakau di tengah tantangan cuaca yang berubah- ubah.
Investigation of Reaction Dynamics of Methane Reforming on Nickel Clusters Using Molecular Dynamics Simulations Arifin, Rizal; Muzakki, Fikrun Najib; Winardi, Yoyok; Widaningrum, Ida; Zulkarnain, Zulkarnain; Abdurrouf, Abdurrouf; Johari, Norhasnidawani; Lee, Vannajan Sanghiran; Darminto, Darminto
Journal of Engineering and Technological Sciences Vol. 57 No. 1 (2025): Vol. 57 No. 1 (2025): February
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2025.57.1.5

Abstract

This study employed molecular dynamics simulations utilizing the ReaxFF force field to elucidate the mechanisms underlying methane decomposition and hydrogen generation on nickel clusters (Ni37, Ni55, and Ni80). The transformation of methane into valuable products, including carbon species and hydrogen molecules, is of considerable significance owing to the abundance of methane and its potential role as an atmospheric pollutant. The findings suggest that Ni37 clusters had the highest initial reactivity, although they deactivated swiftly; conversely, Ni55 and Ni80 exhibited more consistent reaction rates. The highest efficiency of hydrogen production per unit surface area was displayed by Ni55 clusters within 100,000 fs, demonstrating a balance between reactivity and stability. Methane dissociation on the Ni55 clusters occurred in multiple stages. Two distinct mechanisms for hydrogen formation were identified: simultaneous dissociation from methane and migration and the combination of hydrogen atoms on the cluster surface. Ni55 showed a substantially lower activation energy for methane dissociation at 0.5 eV than bulk nickel, suggesting a higher degree of reactivity. Conversely, the activation energy for hydrogen formation was 1.1 eV. These results highlight the potential of the Ni55 clusters as effective catalysts for hydrogen production and methane conversion
Decision support system in determining the location of new supermarket branches using the copras method Tsaqila, Siti Lathifah; Winiarti, Sri; Widaningrum, Ida
International Journal of Industrial Optimization Vol. 5 No. 1 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v5i1.9061

Abstract

Supermarkets are one of the ideal and profitable retail business sectors to try because they are located in various urban and rural areas. This causes many people to be interested in setting up a supermarket. However, determining a strategic location is not easy and requires many strategic location considerations. The research objective is to develop a Decision Support System (DSS) to determine the location of new supermarket branches using the Complex Proportional Assessment (COPRAS) method, which is expected to be helpful for management and supermarket partners as a business strategy. The COPRAS method excels in calculating alternative utilities and selecting the best alternative. There are nine criteria (land rental price, distance to competitors, security, distance to education, warehouse distance, cleanliness, land area, building price, crowd) and five alternative locations (Juanda, Hos Cokroaminoto, Bayangkara, Batoro Katong, Sumoroto) are considered. This research created a web-based DSS that selects the best location for supermarket, with Juanda (A1) ranked first and scored 100, followed by Somoroto (location A5) with a score of 99.861, Bayangkara (A3) with a score of 97.099, Batoro Katong (A4) with a score of 91.293, and HOS Cokroaminoto (A2) with a score of 88.877. From the results of the COPRAS calculation, it can be concluded that Juanda is the best location to build a new supermarket branch location. This result provides a valuable tool for management and supermarket partners seeking to make informed decisions about branch expansion strategies.
A review of detection plagiarism in indonesian language Widaningrum, Ida; Mustikasari, Dyah; Arifin, Rizal; Sugianti, Sugianti
International Journal Artificial Intelligent and Informatics Vol 1, No 2 (2018)
Publisher : Research and Social Study Institute (ReSSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (330.69 KB) | DOI: 10.33292/ijarlit.v1i2.27

Abstract

Plagiarism is the act of copying the work of another person in the form of writing, ideas, creative ideas or other without including the source of the work or idea. This action is of course very disrespectful, violates the code of ethics and is opposed by all parties, both by scientists and the government. This happens because the use of the internet provides unlimited information services. Many studies have been carried out, raising the theme of this plagiarism. This article will review how far the plagiarism research has been done on Indonesian writing. By knowing the development of plagiarism research, further research will have better sustainability.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN DOMPET DIGITAL MENGGUNAKAN METODE ANALYTIC HIERARCHY PROCESS (AHP) Widaningrum, Ida; Dinda Septyana; Dyah Mustikasari
Jurnal Responsif : Riset Sains dan Informatika Vol 7 No 1 (2025): Jurnal Responsif : Riset Sains dan Informatika
Publisher : LPPM Universitas Adhirajasa Reswara Sanjaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51977/jti.v7i1.1801

Abstract

Dalam era fintech yang berkembang pesat, dompet digital menjadi solusi keuangan yang penting namun membingungkan pengguna akibat banyaknya pilihan dan fitur. Penelitian ini bertujuan merancang dan mengimplementasikan Sistem Pendukung Keputusan (SPK) untuk pemilihan dompet digital menggunakan Metode Analytic Hierarchy Process (AHP). Dengan AHP, penelitian ini menganalisis kriteria seperti keamanan, kemudahan penggunaan, transaksi dengan merchant lain, dan pelayanan penyedia layanan untuk memberikan rekomendasi yang akurat. Hasil penelitian ini diharapkan membantu pengguna dalam membuat keputusan yang lebih terinformasi dan efisien dalam memilih dompet digital yang sesuai dengan kebutuhan mereka. Kesimpulannya, SPK berbasis AHP ini mampu memberikan rekomendasi yang lebih objektif dan dapat diandalkan, sehingga mempermudah pengguna dalam menentukan pilihan dompet digital yang optimal.
Co-Authors ., Sugianti Abd. Rasyid Syamsuri abdurrouf Abdurrouf Adi Purwanto Adi Purwanto Agus Hening Triwasono Akzha Nabella Putra Arganata Al-Rizki, Muhammad Farid Iqbal Ali Selamat Andy Triyanto Ardio, Karisma Arief Budiono Arifin, Rizal Arifin, Rizal Ashidiqi, Ahmad Siroj Astuti, Arin Yuli Azizah, Hanifha Nur Bambang Widiyahseno Bambang Widiyahseno, Bambang Darminto . Deviardia Putri Nurmayasari Diah Ervin Arlindila Dinda Septyana Dwiki Rian Pangestu Dyah Mustikasari Dyah Mustikasari Dyah Mustikasari Ega Feri Romawati Eka Arynda Ayu, Eka Arynda Ekapti Wahjuni Djuwitaningsih Erika Diyah Cahyani Fauzan, Fahrul Alvin Fitri, Khoiru Nur Ghulam Asrofi Buntoro Gita Lely Endika Putri Hardi Prasetiyo Ika Nurjanah Indah Puji Astuti Indah Puji Astuti Indah Puji Astuti Isnandar, Aries Jamil, Salma Fauziyah Jamilah Karaman Johari, Norhasnidawani Karaman, Jamilah Khoiru Nur Fitri Khoiru Nurfitri Khoiru Nurfitri Kusnawan, Wawan Lee, Vannajan Sanghiran Lestari, Erma Puji Lestari, Riza Ayu Mohammad Bhanu Setyawan Muhammad Farid Iqbal Al-Rizki Muhammad Titan Rama Adi Wijaya Munika Neni Berlian Muthya Cahyani Putriabhimata Muzakki, Fikrun Najib Nadia Intan Pratiwi Nita Dita Puspitasari Nuraini Eka Febriyanti Prasetyo, Angga Pratiwi, Nadia Intan Rendy Ahmadan Abdul Aziz, Maretha Reza DickiPrabowo Rhesma Intan Vidyastari Rifqi Rahmatika Az-Zahra Rika Maya Sari Roziqin, Bahar Rudianto Karim Rudianto Rudianto Rudianto Rudianto Sari Wunikaresti Sri Winiarti Sucipto , Sucipto Sucipto Sucipto Sugianti, Sugianti Tien Rubiyanti Tsaqila, Siti Lathifah Umi Setya Ramadhani Verian Dwi Saputra, Rezano Winardi, Yoyok Yusuf, Moch Yasir Zulkarnain, Zulkarnain