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All Journal Jurnal Buana Informatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) ELINVO (Electronics, Informatics, and Vocational Education) Journal of Information System Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab ILKOM Jurnal Ilmiah Jurnal Infomedia Progresif: Jurnal Ilmiah Komputer Buletin Ilmiah Sarjana Teknik Elektro Jambura Journal of Electrical and Electronics Engineering Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Madani : Indonesian Journal of Civil Society Infotek : Jurnal Informatika dan Teknologi Information System Journal (INFOS) Prima Abdika: Jurnal Pengabdian Masyarakat JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma SmartComp Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat
Jeki Kuswanto
Universitas Amikom Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities 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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

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Optimalisasi Engine Optimalization On-Page untuk Meningkatkan Kinerja Situs Berita Digital Menggunakan Analisis CTR dan UX Martisa Fiorentina, Rinda; Miftahul Ashari, Wahid; Kuswanto, Jeki
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2377

Abstract

This study analyzes the application of Search Engine Optimization (SEO) strategies on the Radar Jogja website to increase its visibility on search engines. With internet penetration in Indonesia reaching 78.19% in 2023, digital platforms have become an important necessity for media companies. Radar Jogja faces the challenge of competing for top positions on Google's search engine results pages (SERPs), where most users only access the first two pages. This study uses a descriptive-analytical method to evaluate key SEO elements such as titles, URLs, internal link structure, and page performance. Test results show that CTR increased from 2% to 4.75% and average position improved from 12th to 6th. In addition, dwell time increased to 2.25 minutes and bounce rate decreased, indicating a significant improvement in user experience. The results of this study contribute to content-based SEO strategies for local media to increase digital competitiveness and gain better visibility on search engines.
Kalibrasi Regresi Linier untuk Peningkatan Akurasi Load Cell pada Kursi Roda Cerdas Hakim, Muhamad Nauval; Miftahul Ashari, Wahid; Kuswanto, Jeki
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.3023

Abstract

Smart wheelchairs are an innovation designed to facilitate user mobility while monitoring their condition in real time. One of the main features developed is an integrated weight reading system. However, the accuracy of the sensor is still affected by sitting posture, body position, and surrounding environmental conditions. This study aims to improve the accuracy of the weighing system on smart wheelchairs by applying linear regression analysis as a sensor calibration method. Data collection was conducted under four conditions of use, namely sitting upright, sitting tilted, walking while sitting upright, and walking while sitting tilted, which represent variations in user load distribution. The calibration model was constructed using the average sensor reading data and evaluated using the R², MAE, and MAPE parameters. The results showed a significant improvement in accuracy with an R² value of 1.0000, MAE of 0.0687 kg, and MAPE of 0.111%, as well as a decrease in the average error from ±1.2 kg to ±0.07 kg after the calibration process. The linear regression method proved to be effective in improving the accuracy of sensor readings with light computational calculations. This study also demonstrates the potential of linear regression as an efficient lightweight calibration method for IoT-based medical systems, particularly on devices such as ESP32 or Arduino that display real-time, high-precision body weight measurements.
Improving Machine-Learning Malware Detection Through IQR-Based Feature Reduction Setyanto, Nurcahyo Fajar; Pramitasari, Rina; Kuswanto, Jeki
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15634

Abstract

Malware detection is a significant challenge in cybersecurity due to the complex and evolving nature of threats. This study evaluates the effectiveness of machine learning algorithms, specifically XGBoost and LightGBM, in detecting malware. The approach includes data cleaning, normalization, feature selection, and the use of the Interquartile Range (IQR) technique to select relevant features. The initial dataset contained 21,752 files, evenly split between malicious and benign files. After data cleaning, the number of samples decreased to 19,256 files, with numerous features that were reduced after applying IQR. Results show that XGBoost outperforms other algorithms, achieving 99.20% accuracy, an improvement over the 98.99% accuracy without IQR. The IQR technique enhances data quality by filtering out features with significant differences between malware and benign files, improving model performance. Additionally, reducing the feature set helps prevent overfitting and strengthens the model's generalization ability. The study concludes that machine learning, particularly with algorithms like XGBoost and LightGBM, can effectively improve malware detection. By using IQR in feature selection, model performance is enhanced, leading to reduced false positives and increased detection efficiency. The research highlights the importance of feature selection techniques like IQR in boosting the predictive power of machine learning models, making them more efficient in identifying malware. Future work will explore additional feature selection methods to further improve malware detection accuracy.
Smart Fish Farm Budidaya Ikan Nila Menggunakan NodeMCU Terintegrasi Berbasis Internet Of Things Kuswanto, Jeki; Ashari, Wahid Miftahul; Asharudin, Firman
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 1 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i1.5061

Abstract

Teknologi budidaya ikan yang digabungkan dengan pertanian saat ini berkembang  pesat banyak muncul sistem yang cocok untuk menggabungkan antara media tanam dan juga budidaya ikan salah satunya yaitu media tanam vertikultur  yang mana sistem budidaya pertanian ini dilakukan secara vertikal atau bertingkat  pada ruang lingkup indoor maupun outdoor. beberapa proses yang dilakukan masih secara manual yaitu  melakukan penyiraman tanaman,  pengecekan PH air, memberi makan ikan, pengecekan suhu air dalam kolam,  mengontrol tingkat kelembaban tanah, ini dikerjakan secara manual. Oleh sebab itu Smart fish Farm dibutuhkan sistem  sistem ini dibuat otomatisasi berbasis iot (internet of thing)  dibutuhkan untuk mengatasi beberapa apa permasalahan tersebut, dengan memanfaatkan  NodeMCu sebagai mikrokontroler yang akan dihubungkan dengan sensor kelembaban tanah, sensor suhu, PH meter,  motor DC maka kontrol dan pemantauan  penyiram tanaman, pemberian makan ikan, kondisi air air dapat dilakukan secara otomatis. smart fish Farm budidaya ikan nila dan tanaman  vertikultur  berbasis iot (internet of thing)  dapat menampilkan data yang sesuai melalui  aplikasi mobile yang dapat dilihat oleh pengguna, mulai dari tingkat kelembaban tanah menampilkan hasil kadar pH dari 1 sampai dengan 10 kadar pH dan menampilkan suhu kolam ikan dari rentan 15 sampai dengan 32 derajat Celcius serta Aplikasi mobile  dapat mengontrol sistem pakan ikan.
PENGEMBANGAN EKOWISATA WATER BYUR PONJONG MELALUI EDUKASI DAN DIGITALISASI Septi Kurniawati Nurhadi; Atika Fatimah; Jeki Kuswanto; Dera Milyarta; Marcelinus Erix Nugroho; Muhammad Zakyul Fikri; Anita Kusumaning Tyas
Jurnal Abdi Insani Vol 13 No 2 (2026): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v13i2.3553

Abstract

Water Byur Ponjong merupakan destinasi wisata air yang terdiri atas kolam renang dan wahana permainan air yang terletak di Kabupaten Gunung Kidul, Yogyakarta. Kawasan wisata ini memiliki dua site yakni Site 1 (lokasi titik mata air) dan Site 2 (zona publik dan area parkir). Namun tata ruang di kawasan ini masih belum terkonsep dengan baik dan terdapat rencana pengembangan area Kawasan Wisata Water Byur, dengan tujuan dapat menarik wisatawan lebih banyak lagi untuk berkunjung. Selain itu, terdapat kerusakan pada beberapa fasilitas karena tidak adanya dana perbaikan, sementara pendapatan kawasan wisata yang berasal dari penjualan tiket ini terbilang besar. Berdasarkan latar belakang tersebut, perlu adanya kegiatan pelatihan peningkatan kualitas SDM seperti pelatihan perhitungan gaji dan retribusi jasa usaha serta pelatihan peningkatan kualitas kawasan melalui penataan kawasan dengan konsep ekowisata. Selanjutnya untuk pengembangan wisata alam yang berkelanjutan, akan menggunakan fasilitas pengelolaan air melalui inovasi sistem pintar. Hasil dari pengabdian ini yaitu : (1) Masterplan kawasan wisata, (2) Sistem pintar irigasi lahan (SIPILAH), (3) Aplikasi penggajian dan perhitungan tiket masuk wisata, (4) Peningkatan pemahaman masyarakat terkait penggajian dan perhitungan tiket masuk wisata, serta penggunaan aplikasi SIPILAH. Kegiatan ini menunjukkan adanya perubahan positif bagi pengembangan ekowisata Water Byur Ponjong.
Optimizing 4-ary Huffman Trees and Normalizing Binary Code Structures to Minimize Redundancy and Level Reduction Tonny Hidayat; Hendra Kurniawan; Ali Mustopa; Jeki Kuswanto
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v10i1.78722

Abstract

Since the present data expansion and increase are occurring at an increasingly rapid pace, the solution of adding storage space is not sustainable in the long run. The growing need for storage media can be addressed with lossless compression, which reduces stored data while allowing complete restoration. Huffman remains a potent method for data compression, functioning as a "back end" process and serving as the foundational algorithm in applications, among others, Monkey's PKZIP, WinZip, 7-Zip, and Monkey's Audio. Lossless compression of 16-bit audio requires binary structure adjustments to balance speed and optimal compression ratio. The use of a 4-ary Huffman tree (4-ary) branching procedure to generate binary code generation and to insert a maximum of 2 dummy data symbol variables that are given a binary value of 0 with the condition that if the number of MOD 3 data variables = remaining 2, then two dummy data are added, if the result is the remainder 0 = 1 dummy data, and if the remainder = 1 then it is not required. This process effectively maintains a high ratio level while speeding up the 4-ary Huffman code algorithm's performance in compression time. The results show that the efficiency reaches 95.94%, the ratio is 38%, and the comparison is 1/3 of the Level based on calculations, testing, and comparison with other generations of the Huffman code. The 4-ary algorithm significantly optimizes archived data storage, reducing redundancy to 0.124 and achieving an entropy value of 2.91 across various data types.
ANALISIS PENGARUH VARIASI POSTUR DAN MOBILITAS TERHADAP AKURASI ESTIMASI TINGGI BADAN PADA KURSI RODA CERDAS MENGGUNAKAN PENDEKATAN CHUMLEA Fajri Albar Amri; Wahid MIftahul Ashari; Jeki Kuswanto
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7316

Abstract

This study evaluates the accuracy of height estimation on a sensor-based smart wheelchair system, focusing on user posture and mobility variables. Precise height measurement is crucial in medical applications, particularly for pharmacological dose determination and nutritional status evaluation, where non-standard posture or user movement poses a high risk of causing data bias. Testing was conducted using the Chumlea method as a validation standard for the ultrasonic sensors integrated into the wheelchair. The experiment involved four specific conditions: normal/static, non-normal/static, normal/dynamic, and non-normal/dynamic postures, involving 20 subjects (10 men, 10 women). Data analysis utilized Mean Absolute Error (MAE) and ANOVA tests to assess the significance of accuracy differences between conditions. The results indicate that testing conditions significantly affect height estimation accuracy. In the normal/static condition, the average MAE was 0.65 cm for men and 1.12 cm for women. In contrast, in the non-normal/dynamic condition, MAE increased sharply to 2.93 cm for men and 2.88 cm for women, indicating a significant decrease in accuracy. The ANOVA statistical test confirmed a significant difference (p < 0.001) in sensor accuracy among the different testing conditions . These findings conclude that non-ideal posture and dynamic mobility simultaneously exacerbate sensor inaccuracies. This research contributes to the development of smart wheelchair technology by providing insights into how external factors influence sensor performance for more accurate medical decision-making.
PERANCANGAN DAN EVALUASI ANTARMUKA UI/UX APLIKASI KURSI RODA CERDAS SMATSI BERBASIS USER-CENTERED DESIGN: DESIGN AND EVALUATION OF THE UI/UX INTERFACE OF SMATSI SMART WHEELCHAIR APPLICATION BASED ON USER-CENTERED DESIGN marcelinus erix; Jeki Kuswanto; Firman Asharudin
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7573

Abstract

Perkembangan teknologi digital pada perangkat medis cerdas mendorong pemanfaatan aplikasi pendukung guna meningkatkan efisiensi dan akurasi kerja tenaga kesehatan, khususnya dalam proses pemantauan dan pencatatan data vital pasien. Kursi Roda Cerdas SMATSI merupakan inovasi berbasis Internet of Things (IoT) yang dirancang untuk mendukung mobilitas pasien sekaligus memfasilitasi pemantauan kondisi kesehatan secara terintegrasi. Keberhasilan implementasi sistem tersebut tidak hanya ditentukan oleh akurasi sensor, tetapi juga oleh kualitas antarmuka pengguna dan pengalaman pengguna aplikasi pendukungnya. Penelitian ini bertujuan untuk merancang dan mengevaluasi User Interface (UI) dan User Experience (UX) aplikasi pendukung Kursi Roda Cerdas SMATSI dengan menerapkan metode User-Centered Design (UCD). Pengumpulan data dilakukan melalui penyebaran kuesioner, wawancara, dan observasi kepada tenaga kesehatan sebagai pengguna utama di beberapa fasilitas kesehatan untuk mengidentifikasi kebutuhan pengguna dan permasalahan usability. Hasil analisis kebutuhan diwujudkan dalam bentuk wireframe dan high-fidelity prototype yang mencakup fitur utama berupa dashboard hasil pengukuran, persiapan pengukuran, serta pengelolaan perangkat. Evaluasi usability dilakukan melalui usability testing menggunakan parameter Time-on-Task (ToT) dan System Usability Scale (SUS) untuk mengukur efektivitas, efisiensi tugas, dan tingkat kepuasan pengguna secara kuantitatif. Hasil pengujian menunjukkan bahwa rancangan UI/UX yang dikembangkan mampu mengurangi kompleksitas penggunaan sistem, meningkatkan efisiensi tugas, serta memberikan pengalaman penggunaan yang lebih intuitif dan efisien bagi tenaga kesehatan dalam konteks kerja klinis. Prototipe akhir memperoleh skor System Usability Scale (SUS) sebesar 86,4 yang termasuk dalam kategori excellent, dengan nilai Time-on-Task (ToT) rata-rata sebesar 8,5 detik. Dengan demikian, penerapan metode User-Centered Design (UCD) terbukti efektif dalam menghasilkan rancangan UI/UX yang teruji dan actionable untuk aplikasi medis berbasis IoT, serta memberikan bukti empiris mengenai efektivitas pendekatan UCD dalam konteks pengembangan teknologi kesehatan cerdas.
Perbandingan Algoritma AES128 dengan SHA256 dalam Kecepatan Enkripsi Pengiriman Data Rina Setiani; Eldiva Tegar Imananda; Wahyu Enggar Wicaksono; Muhammad Aziz Baihaqi; Jeki Kuswanto
JOINS (Journal of Information System) Vol 9 No 1 (2024): Edisi Mei 2024
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v9i1.8800

Abstract

Internet of Things bekerja untuk menyediakan berbagai layanan yang menghubungkan sensor dengan aktuator. Pada masa sekarang, layanan IoT telah banyak digunakan diberbagai bidang. Dengan pertumbuhan eksponensial IoT menyebabkan meningkatnya masalah ancaman keamanan. Untuk memastikan keamanan data tersebut, diperlukan algoritma untuk mengenkripsi data. Algoritma yang paling umum dalam melakukan enkripsi adalah Advanced Encryption Standard (AES). AES adalah salah satu metode yang digunakan untuk mencapai privasi dan kerahasiaan data yang ditransfer melalui berbagai jaringan komputer. Selain AES, terdapat pula SHA256 sebagai algoritma enkripsi. Dalam implementasinya algoritma SHA256 digunakan untuk integritas data dan otentikasi pesan. Metode yang digunakan dalam meneliti perbandingan enkripsi menggunakan algoritma AES (Advanced Encryption Standard) dengan SHA-256 (Secure Hash Algorithm 256-bit), dapat mengadopsi model NDLC (Network Development Life Cycle). Baik AES maupun SHA-256 adalah algoritma yang kuat dan mapan untuk enkripsi data, dan kecepatan keduanya hampir sama dengan perbedaan yang kecil dalam ukuran milisekon.
Penataan Kawasan dan Penguatan Promosi Dalam Pengembangan Ekowisata Water Byur Ponjong Septi Kurniawati Nurhadi; Atika Fatimah; Jeki Kuswanto; Dera Milyarta; Anita Kusumaning Tyas; Marcelinus Erix Nugroho; Muhammad Zakyul Fikri
Madani : Indonesian Journal of Civil Society Vol. 8 No. 2 (2026): Madani : Agustus 2026
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/y8qvee78

Abstract

Water Byur Ponjong is a water tourism destination in Gunung Kidul Regency, known for its swimming pools and various water rides, suitable for all ages. This area holds great potential, being divided into two main sites with distinct characteristics. However, its layout remains underdeveloped. The management has a strong desire to make Water Byur Ponjong a more organized, comfortable, and pleasant place to provide a tourism experience for every visitor. Unfortunately, several facilities have begun to deteriorate due to limited maintenance funds, necessitating support to maintain the area's sustainability. In response, mentoring activities were conducted to enhance the area's layout using an ecotourism approach and strengthen promotional strategies through the development of a tourism map and flyers. These efforts not only addressed the need for layout but also helped enhance the destination's image, making it more easily recognized and promoted. The entire series of activities resulted in three main outcomes: a regional master plan, a tourism map, and a tourism flyer. These three outcomes provide significant contributions to the development of Water Byur Ponjong ecotourism and open up opportunities to improve the quality of tourism services in the future.
Co-Authors Abdulloh, Ferian Fauzi Aditia, Amar Ali Mustopa Alva Hendi Muhammad Andriyan Dwi Putra Anita Kusumaning Tyas Arvin Claudy Frobenius Ashari, Wahid Miftahul Asharudin, Firman Atika Fatimah Banu Santoso Bernadhed, Bernadhed Dera Milyarta Dwi Nurani, Dwi Eko Pramono Eldiva Tegar Imananda Fajri Albar Amri Fania Ellysabeth Fauzi, Moch Farid Febrian Putra Pratama Frobenius, Arvin Claudy Hakim, Muhamad Nauval Hamid, Nadila Hendra Kurniawan Ibnu Hadi Purwanto Kaleb, Setiawirawan Valerian Khamzah , Khaerul Koprawi, Muhammad Kusrini Mahananing Puri, Fiyas marcelinus erix Marcelinus Erix Nugroho Martisa Fiorentina, Rinda Melwin Syafrizal Moch Farid Fauzi Muhammad Abdul Ghofur Muhammad Aziz Baihaqi Muhammad Irfan Annas Muhammad Koprawi Muhammad Zakyul Fikri Muktafin, Elik Hari Nenden Ranuma Ratri Nugraha, Anggit Ferdita Nur Asyifa Nurcholis, Muhammad Tofa Praditya, A.G. Arvin Pratama, Rifqi Dimas Putra, Wahyu Sukestyastama Rahman, M. Ardafi Sulchia Ria Andriani Riasasi, Widiyana Rifda Faticha Alfa Aziza Rina Pramitasari Rina Setiani Rivan Ardiansyah Septi Kurniawati Nurhadi Setyaji, Ghalih Anung Setyanto, Nurcahyo Fajar Tonny Hidayat Tri Atmaja Ramadhani, Surya Wahyu Enggar Wicaksono Wasiso, Ichsan Widatama, Krisna Wisnu Yudo Untoro wisnu yudo untoro, wisnu Wiwi Widayani, Wiwi Yossy Ariyanto Yusuf Amri Amrulloh Zahrowani, Rizal