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All Journal PROSIDING SEMINAR NASIONAL JURNAL SISTEM INFORMASI BISNIS Jurnal Simetris POSITIF JTET (Jurnal Teknik Elektro Terapan) Jurnal Informatika Upgris Al-Jabar : Jurnal Pendidikan Matematika Jurnal Teknologi dan Sistem Komputer Jurnal Dinamika Ekonomi dan Bisnis JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal DISPROTEK ANARGYA: Jurnal Ilmiah Pendidikan Matematika INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Informatika Amalee: Indonesian Journal of Community Research & Engagement TIN: TERAPAN INFORMATIKA NUSANTARA SKANIKA: Sistem Komputer dan Teknik Informatika Bulletin of Information Technology (BIT) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Minfo Polgan (JMP) Jurnal Informatika Teknologi dan Sains (Jinteks) Formosa Journal of Applied Sciences (FJAS) Nusantara Journal of Computers and its Applications
R Hadapiningradja Kusumodestoni
Universitas Islam Nahdlatul Ulama Jepara
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Penerapan Metode Waterfall Pada Aplikasi Multimedia Interaktif Pengenalan Huruf Hijaiyah Berbasis Android Pada Paud Nabata R Hadapiningradja Kusumodestoni; Buang Budi Wahono
INFOMATEK Vol 24 No 1 (2022): Volume 24 No. 1 Juni 2022
Publisher : Fakultas Teknik, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/infomatek.v24i1.4402

Abstract

Teknologi smartphone tidak hanya dapat digunakan oleh orang dewasa saja, akan tetapi anak usia dini pun layak diperkenalkan pada teknologi smartphone. Pendidikan anak pada usia dini diperlukan karena pada tahap tersebut sistem pembelajaran akan mempengaruhi tingkah laku dan pola berfikir anak. PAUD Nabata dalam hal pembelajaran mengenalkan huruf hijaiyah masih menggunakan media seperti buku, papan tulis, poster. Dengan pembelajaran tersebut kurang begitu menarik dan anak mudah cepat bosan. Tujuan dari penelitian ini untuk menghasilkan aplikasi pengenalan huruf hijaiyah berbasis android menggunakan metode waterfall yang dapat dijadikan sebagai media pembelajaran yang baru pada PAUD Nabata, sehingga anak lebih semangat dalam belajar mengenal huruf hijaiyah dan tidak cepat bosan. Penelitian ini penulis membuat aplikasi pembelajaran yang berisikan pengetahuan dasar tentang huruf hijaiyah disertai dengan suara pengucapannya, dan keterangan bacaan sesuai harakatnya. Untuk hasil pengujian aplikasi telah melalui uji dari 1 ahli materi, 1 ahli media, dan 30 angket responden yang telah disebarkan dan menghasilkan, dari ahli media 100%, ahli materi 100%, dan angket responden 88.2%. Kesimpulan dari pengujian aplikasi Belajar Huruf Hijaiyah dapat dikatakan sangat layak.
Implementation of the Decision Tree Algorithm as an English Learning Media at SD Negeri 1 Senenan R Hadapiningradja Kusumodestoni; Gun Sudiryanto; Gentur Wahyu Nyipto Wibowo; Charles Firmansyah
Formosa Journal of Applied Sciences Vol. 1 No. 1 (2022): June 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1004.736 KB) | DOI: 10.55927/fjas.v1i1.726

Abstract

This research is motivated by the declining interest of students in learning English because teaching the old or traditional way more or less hinders the ability of many students to understand certain languages. The purpose of this research is to design an English learning media in the form of educational games to attract students' interest in learning English further. This research uses the waterfall development method which is combined using the Decision Tree algorithm. In its application the Waterfall method has five stages, namely, Requirements Analysis, System Design, Program Code Writing, Testing, and Maintenance, while the application of the Decision Tree algorithm lies in the first game to choose what path or scan will each player get. The results of this study showed that 90.85% of people who took part in the survey through respondent questionnaires were interested in learning more English.
Implementasi Algoritma Fuzzy C-Means dalam Mengelompokkan Produktivitas Nauplius Vanammei di BBPBAP Jepara Nur Aeni Widiastuti; Raden Hadapiningradja Kusumodestoni; Buang Budi Wahono; Diah Ayu Chumaisaroh
Jurnal Sistem Informasi Bisnis Vol 13, No 1 (2023): Volume 13 Nomor 1 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss1pp37-44

Abstract

Balai Besar Perikanan Budidaya Air Payau often experiences changes in the number of vanammei shrimp production that is uncertain every day. This resulted in the scarcity of vanammei shrimp larvae seeds, unmet market demand and high selling prices. So that the BBPBAP experienced problems in monitoring the quality of the production of vanammei shrimp larvae. To overcome these problems, data mining is used as an alternative solution. The research method used is the Fuzzy C-Means algorithm. With the research stages starting from data collection, pre-processing data to clean data or attributes that are not suitable, clustering using the Fuzzy C-Means algorithm, testing using the MATLAB tool, and evaluating validation using the Davies Bouldin Index (DBI). Based on the results of the clustering that has been carried out from a total of 894 data, which are included in the good cluster, 569 data with the unfavorable category is 325. The results of the evaluation and validation obtained a value of 0.32 with the resulting cluster quality is optimum.
PERANCANGAN SISTEM INFORMASI NILAI NIHA’I MADRASAH DINIYAH AWALIYAH MENGGUNAKAN FRAMEWORK CODEIGNITER DI LP. MA’ARIF NU MAYONG R. Hadapiningradja Kusumodestoni
NJCA (Nusantara Journal of Computers and Its Applications) Vol 2, No 2 (2017): Desember 2017
Publisher : Computer Society of Nahdlatul Ulama (CSNU) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36564/njca.v2i2.31

Abstract

LP. Ma’arif NU Mayong merupakan lembaga yang menaungi beberapa lembaga salah satunya adalah Madrasah diniyah, dimana LP Ma’arif sebagai pengurus yang mengurus jalannya ujian niha’i, dari mengurus semua data madrasah mana saja yang akan ikut ujian, berapa santri dan nilai yang akan dihasilkan. Dalam proses pengumpulan perlembaga perlu memakan waktu yang cukup lama karena ada lembaga yang jauh dari tempat pengurus LP. Ma’arif  Mayong selain itu banyak lembaga yang belum mempunyai alat ketik seperti computer, dalam pengumpulan data santri biasanya masih menggunakan tulisan tangan di lembar kertas sehingga pengurus LP. Ma’arif harus mengetik ulang data tersebut dan dalam proses penyimpananna rawan hilang atau lupa tempat. Dilihat dari permasalahan tersebut, maka LP. Ma’arif Mayong membutuhkan sebuah sistem terkomputerisasi yang dapat digunakan untuk pengolahan data santri, dan nilai ujian niha’i. Metode pengembangan sistem yang digunakan yaitu Waterfall dengan notasi pemodelan UML (Unified Modeling Language) dan PHP sebagai bahasa pemrograman dengan menggunakan framework CodeIgniter. Aplikasi ini telah melalui uji kelayakan dari satu ahli materi mendapatkan hasil 100 % dengan kriteria sangat layak, satu ahli media mendapatkan hasil 75% dengan kriteria layak dan 30 angket responden guru madrasah diniyah awaliyah dengan hasil 90% dengan kriteria sangat layak. Hasil dari aplikasi ini dapat Membantu mempercepat pengurus dalam mencetak laporan nilai niha’i para santri dan peringkan madin. Sistem informasi ini memerlukan fitur data guru dan untuk bisa download materi ujian atau kisi – kisi ujian madrasah.  
Optimalisasi Pemanfaatan Limbah Bonggol Jamur Tiram Dalam Upaya Peningkatan Varian Produk Unggulan Pada AJJ Jamur Jepara Kusumodestoni, R Hadapiningradja; Sagaf, M; Setiyowati, Desti; Hidayat, Solikhul
Amalee: Indonesian Journal of Community Research and Engagement Vol 4 No 1 (2023): Amalee: Indonesian Journal of Community Research and Engagement
Publisher : LP2M INSURI Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/amalee.v4i1.2030

Abstract

Utilization of oyster mushroom weevil waste is an effort to add superior product variants, processed mushrooms are intended as an effort to increase sales turnover at AJJ Mushrooms Jepara. For the waste to be useful again, it is necessary to optimize it through the utilization of oyster mushroom waste into processed mushroom sticks. This assistance needs to be carried out to reuse oyster mushroom hump waste which was previously only used for additional animal feed and increase the selling value of processed waste. The method used in this community service is the Assed Based Community Development ABCD method through the activities of providing assistance and training through outreach, practice, and demonstrations to partners starting from the preparation of materials in the form of mushroom cob waste, other supporting materials, equipment, resource persons whom are some expert in processing food ingredients followed by outreach activities, practice, and direct assistance to partners. The result of mentoring the utilization of oyster mushroom weevil waste is in the form of mushroom sticks that are crispy and delicious to events that they can increase product variants selling processed mushrooms and increase the number of sales turnover at AJJ Jepara Oyster Mushrooms.
Optimalisasi Algoritma Support Vector Machine (SVM) Dalam Klasifikasi Kejadian Data Stunting Dian Wahyuni, Sonya; Kusumodestoni, R. Hadapiningradja
Bulletin of Information Technology (BIT) Vol 5 No 2 (2024): Juni 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i2.1247

Abstract

Stunting is a condition of inhibited linear growth due to chronic malnutrition, which is a serious concern in Indonesia, especially among toddlers. Stunting identification utilizes the parameter of height-for-age z-score (HAZ), with a value of less than -2 SD as a diagnostic indicator. Factors such as socioeconomic conditions, dietary patterns, infections, and the environment influence stunting, making early prevention and intervention efforts crucial. Short-term effects of stunting include delayed motor development and cognitive impairment, while long-term impacts include the risk of chronic diseases in adulthood. Although the global prevalence of stunting has declined, Indonesia still has a high rate, ranking second in Southeast Asia. Cross-sector collaboration and the application of technology, such as Support Vector Machine (SVM) algorithms, can help identify stunting risk factors. In this study, SVM kernels including linear, polynomial, RBF, and sigmoid were evaluated. RBF SVM kernel proved to be the most effective, achieving an accuracy of over 90% with an AUC of 0.926. Collaboration and the use of technology provide hope for addressing stunting in Indonesia, requiring cooperation between the government, NGOs, and the scientific community
OPTIMASI ALGORITMA NAIVE BAYES BERBASIS KERNEL UNTUK KLASIFIKASI PENYAKIT HATI Prasetyo, Muhammad A'an; Zyen, Akhmad Khanif; Kusumodestoni, R. Hadapiningradja
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 3 (2024): EDISI 21
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i3.4783

Abstract

Liver disease is a serious health problem that requires early and accurate diagnosis. This study develops and evaluates a kernel-based Naive Bayes algorithm for liver disease classification, comparing it with standard Naive Bayes. A dataset from Kaggle was used, covering a wide range of medical variables. After data preprocessing, both models are trained and evaluated using standard metrics. Results show significant improvements over the kernel-based model, with accuracy reaching 99% compared to 80% for the standard model. Feature importance and learning curves analysis is carried out for deeper understanding. This study demonstrates the great potential of using kernel-based Naive Bayes in improving liver disease diagnosis, which may contribute to improved clinical outcomes and quality of patient care.
SISTEM INFORMASI GEOGRAFIS PEMETAAN FASILITAS KESEHATAN BPJS DI KABUPATEN JEPARA DENGAN ALGORITMA DIJKSTRA BERBASIS WEB Musyarraf, Fajrul Fahry; Sarwido, Sarwido; Kusumodestoni, R. Hadapiningradja
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 4 (2024): EDISI 22
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i4.4787

Abstract

Mapping BPJS health facilities in Jepara Regency is an important step to improve health accessibility. To support this effort, a web-based geographic information system was developed that is designed to map BPJS health facilities and determine the shortest route using Dijkstra's algorithm. This application was built with the Laravel 9 PHP framework and utilizes Leaflet for interactive map display. The results show that this system is effective in presenting complete information about BPJS health facilities in Jepara Regency. The main feature of this application is its ability to calculate and display the shortest route from the user's location to the selected health facility using Dijkstra's algorithm. With this feature, users can easily find the fastest path to the health facility, thus improving the efficiency and accessibility of health care in the region
ANALISIS SENTIMEN REVIEW APLIKASI IDENTITAS KEPENDUDUKAN DIGITAL DI GOOGLE PLAY STORE MENGGUNAKAN KNN Ulfa, Mariana; Kusumodestoni, R. Hadapiningradja; Sucipto, Adi
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 4 (2024): EDISI 22
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i4.4963

Abstract

The Digital Population Identity Application (IKD) is a government digital solution designed to facilitate public access to population data via mobile devices. This study aims to analyze the sentiment of user reviews for the Digital Population Identity (IKD) application available on the Google Play Store, employing the K-Nearest Neighbor (KNN) algorithm. The methodology encompasses data collection, preprocessing, division of data into training and testing sets, and the application of KNN with varying values of k. The findings reveal that the model utilizing k=17 with a 70:30 ratio attained an accuracy of 82%, alongside precision of 79%, recall of 82%, F1 Score of 79%, and a micro AUC value of 0.91. This model demonstrates effective identification of positive and negative sentiments; however, it encounters challenges in classifying neutral reviews. The study concludes that the Digital Population Identity (IKD) application is still regarded as relatively ineffective, given the significant percentage of negative sentiment, which accounts for 71.86% of the reviews. While the KNN algorithm proves effective for classification, enhancements in performance concerning the neutral class remain essential. Furthermore, variations in the value of k impact classification accuracy, and adjustments to the k parameter can enhance the model's overall performance.
Pendampingan Pengolahan Sampah dan Promosi Berbasis Digital untuk Mewujudkan Desa Wisata Ramah Lingkungan Kusumodestoni, R Hadapiningradja; Nor Laila, Azzah; Revalita Candraloka, Olyvia; Darmanto, Darmanto; Al Arif, Amirul
Amalee: Indonesian Journal of Community Research and Engagement Vol 5 No 2 (2024): Amalee: Indonesian Journal of Community Research and Engagement
Publisher : LP2M INSURI Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/amalee.v5i2.6092

Abstract

Desa Semat memiliki banyak asset, wisata pantai, pemuda, dan olahan makanan khas. Namun masalahnya tata letak kurang teratur, kumuh, banyak sampah di sekitar pantai. Permasalahan mitra pada aspek manajemen, sosial masyarakat, dan pemasaran. Tim pengabdi bermitra dengan Pokdarwis Lestari Bahari dan pengelola pantai desa Semat. Metode yang digunakan yaitu Asset Based Community Development (ABCD). Mulai dari discovery, design, dream, define, destiny, dan reflection. Proses untuk mengukur tingkat keberhasilan pemahaman mitra menggunakan metode test, melalui pre-test dan post-test. Hasilnya tahapan discovery, design, dream, define dilakukan melalui Focuss Group Discussion bersama mitra. Tahap destiny dilakukan melalui pelatihan capacity building, pengolahan sampah, dan pendampingan penggunaan website. Tahap reflection dilakukan melalui evaluasi sharing bersama mitra, dan menganalisis hasil pre-test dan post-test. Hasilnya rata-rata seluruh peserta memiliki peningkatan pemahaman, rata-rata awal pre-test rentang 60-75, kemudian nilai post-test rentang 70-80. Peserta juga mengalami peningkatan kesadaran, dan ketrampilan baik terkait manajemen, kesadaran menjaga lingkungan, dan pemasaran. Prosentase kepuasan, 85% peserta sangat puas, 15% puas, dan 100% peserta menilai program ini bermanfaat dan berkomitmen melanjutkan program membuat usaha bersama souvenir dari limbah cangkang kerang, dan mengembangkan website sebagai media promosi.
Co-Authors A.A. Ketut Agung Cahyawan W Adi Sucipto Adi Sucipto, Adi Agus Subhan Akbar Agus Subhan Akbar, Agus Subhan Ahmat Wakit Akhmad Khanif Zyen Akhmad Khanif Zyen Akhmad Khanif Zyen Akhmad Khanif Zyen, Akhmad Khanif Al Arif, Amirul Buang Budi Wahono Buang Budi Wahono Charles Firmansyah Darmanto Darmanto Desti Setiyowati Diah Ayu Chumaisaroh Dian Wahyuni, Sonya Faisti, Muhammad Jazum Gun Sudiryanto Husen, Muhamad Ismiati, Sela Nur Lusi Meriyanti M. Novailul Abid M. Sagaf Manzis, Akhmad Hossam Mulyo, Harminto Musyarraf, Fajrul Fahry Nanda, Meindita Andriano Noor Endah Wulansari Nor Laila, Azzah Nur Aeni Widiastuti Nur Aeni Widiastuti Prasetyo, Muhammad A'an Revalita Candraloka, Olyvia Sarwido Sarwido Sarwido Sarwido, Sarwido Sa’adah, Puji Sela Nur Ismiati Setiawan, Fendi Sisno Riyoko Solikhul Hidayat Suyatno Suyatno Suyatno Suyatno Syifauddin, Muhammad Rizal TEDDY SETIADY Teguh Tamrin Ulfa, Mariana Wibowo, Gentur Wahyu Nyipto Zainul Arifin MA