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All Journal Lingua Cultura Sistemasi: Jurnal Sistem Informasi JIKO (Jurnal Informatika dan Komputer) JURNAL REKAYASA TEKNOLOGI INFORMASI PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Justek : Jurnal Sains Dan Teknologi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi INTEK: Informatika dan Teknologi Informasi Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Bulletin of Computer Science Research Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Akademika ABDIMASTEK Jurnal Pengabdian kepada Masyarakat (DIASYA)
Wahju Tjahjo Saputro
Universitas Muhammadiyah Purworejo
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Other

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Pengenalan Pola Depresi Berbasis Suara Menggunakan Ekstraksi Fitur Mel-Frequency Cepstral Coefficients Saputro, Wahju Tjahjo; Fadlil, Abdul; Murinto, Murinto
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2513

Abstract

The identification of depression patterns from human voices is important because depression can interfere with activities, reduce interest in learning, and hinder socialisation. Depression is a significant problem today because there has been a global increase in the number of people suffering from it. The factors contributing to depression are numerous and complex, and can affect all groups, from children to the elderly. The purpose of this study was to identify depression patterns based on voice feature extraction. The feature extraction method used is Mel-Frequency Cepstral Coefficients (MFCC). The MFCC method is capable of extracting features that closely resemble the human auditory system. The dataset used is the EATD-Corpus, which contains 162 recordings of students from Tongji University in China. The results of the study show that depression and healthy patterns can be distinguished using MFCC parameters, namely 25 measurements per frame, 10 frame intervals, an alpha value of 0.97 as the pre-emphasis coefficient, a maximum of 40 Mel filterbank coefficients, and 12 cepstral coefficients. Classification thresholds can be obtained for two classes: healthy with thresholds < 53.00 and depressed ≥ 53.00 using the Self-Rating Depression Scale.
Pemberdayaan Kelompok Guru Sekolah Dasar Dalam Upaya Mengembangkan Kemampuan Numerasi Siswa Melalui NICE (Nusantara Interactive E-Comic Berbasis Android) Saputro, Wahju Tjahjo; Ratnaningsih, Arum; Wibowo, Teguh; Purwoko, Riawan Yudi; Purwaningrum, Jayanti Putri
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 4 (2025): November
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v4i4.250

Abstract

Kemampuan numerasi merupakan bagian penting dari literasi dasar yang harus dimiliki siswa untuk menghadapi berbagai permasalahan kehidupan nyata. Namun, hasil asesmen nasional dan studi internasional seperti PISA menunjukkan bahwa kemampuan numerasi siswa Indonesia masih tergolong rendah. Salah satu faktor penyebabnya adalah pendekatan pembelajaran yang belum kontekstual dan minim penggunaan media yang relevan dengan kehidupan siswa. Kegiatan pengabdian ini bertujuan untuk memberdayakan kelompok guru sekolah dasar dalam mengembangkan pembelajaran numerasi berbasis konteks budaya lokal melalui media NICE (Nusantara Interactive E-Comic Berbasis Android). Kegiatan dilaksanakan di SDN Sindurjan, Kecamatan Purworejo, Kabupaten Purworejo, selama enam bulan, dengan melibatkan 11 guru sebagai peserta. Metode pelaksanaan terdiri dari empat tahapan utama: observasi dan identifikasi kebutuhan, pelatihan penggunaan media NICE, pendampingan implementasi di kelas, serta evaluasi terhadap hasil pembelajaran. Hasil kegiatan menunjukkan peningkatan kompetensi guru dalam menyusun dan menerapkan pembelajaran numerasi kontekstual berbasis media digital dan etnomatematika. Siswa menunjukkan ketertarikan lebih tinggi terhadap materi numerasi, serta keterlibatan aktif dalam proses pembelajaran. Pemberdayaan guru melalui pendekatan praktik langsung (learning by doing), penggunaan media berbasis budaya, dan pendampingan berkelanjutan terbukti efektif dalam meningkatkan kualitas proses dan hasil pembelajaran. Media NICE juga mendorong kolaborasi antar guru melalui komunitas belajar yang terbentuk selama kegiatan. Program ini menunjukkan bahwa pembelajaran numerasi yang menyenangkan, kontekstual, dan relevan sangat mungkin diwujudkan melalui inovasi berbasis teknologi dan lokalitas.
INOVASI PENGHITUNGAN KENDARAAN PADA MANAJEMEN PARKIR DENGAN SENSOR INFRARED BERBASIS IOT Hanifatus Sa’diyah Widihasaniputri; Wahju Tjahjo Saputro; Hamid Muhammad Jumasa
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2025): Desember 2025
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v6i2.280

Abstract

Traffic and parking management are still major issues in urban areas. The average driver spends 7.8 minutes to find a parking space, and 30% of traffic congestion is caused by finding a parking space.This research focuses on designing a system that adopts infrared sensors and IoT to detect the number of vehicles in a smart parking system.The method used is the prototype method. The process starts with activating the device to monitor vehicles entering and leaving the parking area. Next, the detected vehicles will be checked, if the vehicle enters then the system automatically reduces the number of available parking slots. Conversely, if the vehicle exits, the system adds one slot to the number of available parking slots. the results of component testing carried out, found that all components, including infrared sensors, PIR sensors, LCDs, servo motors, and Arduino Uno R3 microcontrollers, have functioned properly. This is supported by the average system response delay test which only reaches 1.50 seconds and is included in the responsive category for smart parking systems
Kompresi Adaptif untuk Streaming Multimedia Multi-Platform: A Review Ekawati, Nia; Tresnawati, Shandy; Hanief, Shofwan; Saputro, Wahju Tjahjo
INTEK : Jurnal Informatika dan Teknologi Informasi Vol. 8 No. 2 (2025)
Publisher : Program Studi Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37729/intek.v8i2.7167

Abstract

The current digital era is characterized by cross-platform multimedia consumption, which has become the backbone of information and entertainment, with video content dominating more than 82% of total global internet traffic. The main challenge of adaptive compression for multi-platform multimedia streaming lies in device heterogeneity, network conditions, and the need for Quality of Experience (QoE), as adaptive compression adjusts the bitrate, resolution, and encoding level in real-time. The aim of this research is to explore these issues through a literature review study to identify the scope, taxonomy, gaps, and proposed future research directions. The method used is a literature review covering 51 publications (interval 2019-2025) to examine conceptual aspects, system taxonomy (System Architecture Layer, Adaptation Strategy, Compression Technique, and Artificial Intelligence Model), and to identify research gaps. The review results show that streaming efficiency depends on adaptive compression mechanisms, with a research paradigm shifting from rule-based adaptation toward intelligent adaptive compression. Despite these developments, significant unaddressed gaps remain, particularly concerning synchronization across platforms based on different codecs, low-latency real-time AI compression, robust network adaptation solutions for 5G/B5G, and cross-dimensional integration within a single framework. Future research directions are proposed in platform-specific synchronization models, multi-constraint compression, adaptive AI for slicing, and energy optimization through Federated Learning.
Peningkatan Pemahaman Mikrokontroler Melalui Pelatihan Arduino pada Siswa Rekayasa Perangkat Lunak SMK YPKK 1 Sleman Wiranata, Ade Davy; Hanief, Shofwan; Saputro, Wahju Tjahjo; Murinto; Muchlas
Jurnal Pengabdian kepada Masyarakat (DIASYA) Vol. 2 No. 1 (2026): Jurnal Pengabdian Kepada Masyarakat (DIASYA)
Publisher : Rumah Jurnal PT Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/v99fz998

Abstract

Kegiatan Progam Pemberdayaan Umat (PRODAMAT) ini bertujuan untuk meningkatkan pemahaman dan keterampilan mikrokontroler siswa Rekayasa Perangkat Lunak (RPL) kelas XII SMK YPKK 1 Sleman. Latar belakang kegiatan ini didasari kebutuhan SMK YPKK 1 Sleman terhadap penguasaan teknologi embedded system sebagai bagian penting dari perkembangan industri dan teknologi digital, seperti Internet of Things dan otomasi. Namun, pembelajaran mikrokontroler di tingkat SMK masih menghadapi keterbatasan, baik dari sisi fasilitas, metode pembelajaran, maupun integrasi antara perangkat lunak dan perangkat keras. Pelatihan Arduino melibatkan 33 siswa RPL kelas XII, didampingi oleh narasumber yang kompeten di bidangnya. Metode pelatihan mengkombinasikan ceramah, demonstrasi, praktik langsung, dan diskusi interaktif. Materi pelatihan meliputi pengenalan konsep dasar mikrokontroler, penggunaan Arduino IDE, pemrograman dasar, perakitan rangkaian sederhana. Untuk mengukur efektivitas kegiatan, dilakukan evaluasi melalui pre-test dan post-test serta penilaian hasil praktik siswa. Hasil yang diharapkan dari kegiatan ini adalah meningkatnya pemahaman konseptual dan keterampilan praktis siswa dalam bidang mikrokontroler, meningkatnya minat dan motivasi belajar siswa terhadap teknologi embedded system.
Improving Performance Convolutional Neural Networks Using Modified Pooling Function Achmad Lukman; Wahju Tjahjo Saputro; Erni Seniwati
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3763

Abstract

The Visual Geometry Group-16 (VGG16) network architecture, as part of the development of convolutional neural networks, has been popular among researchers in solving classification tasks, so in this paper, we investigated the number of layers to find better performance. In addition, we also proposed two pooling function techniques inspired by existing research on mixed pooling functions, namely Qmax and Qavg. The purpose of the research was to see the advantages of our method; we conducted several test scenarios, including comparing several modified network configurations based on VGG16 as a baseline and involving our pooling technique and existing pooling functions. Then, the results of the first scenario, we selected a network that can adapt well to our pooling technique, whichwas then carried out several tests involving the Cifar10, Cifar100, TinyImageNet, and Street View House Numbers (SVHN) datasets as benchmarks. In addition, we were also involved in several existing methods. The experiment results showed that Net-E has the highest performance, with 93.90% accuracy for Cifar10, 71.17% for Cifar100, and 52.84% for TinyImageNet. Still, the accuracy was low when the SVHN dataset was used. In addition, in comparison tests with several optimization algorithms using the Qavg pooling function, it can be seen that the best accuracy results lie in the SGD optimization algorithm, with 89.76% for Cifar10 and 89.06% for Cifar100.
Analisis Spasial Keterjangkauan Jarak Layanan dan Pola Persebaran Lembaga Pendidikan Menggunakan Buffering dan Nearest Neighbor Analysis Lestari, Widya Ayu; Saputro, Wahju Tjahjo; Widihasaniputri, Hanifatus Sa’diyah
Bulletin of Computer Science Research Vol. 6 No. 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i2.1014

Abstract

Equitable access to religious educational services is strongly influenced by the spatial distribution and service coverage of educational institutions. However, the growth of educational facilities is not always accompanied by balanced spatial planning, which can lead to accessibility disparities. This study aims to analyze service accessibility and spatial distribution patterns of educational institutions in Tlogomulyo District, Temanggung Regency, using a Geographic Information System (GIS) based quantitative descriptive analysis approach. Service accessibility was assessed using buffer analysis with a 500-meter radius, referring to neighborhood-scale educational facility service standards outlined in SNI 03-1733-2004, representing a reasonable service distance within rural settlement contexts, while spatial distribution patterns were examined using Nearest Neighbor Analysis (NNA) implemented in QGIS. The results indicate that most residential areas are within the service coverage of educational institutions, although several locations remain underserved. The NNA index value of 0.93 with a z-score of ?0.79 at a significance level of ? = 0.05 suggests a weak clustered distribution pattern that is not statistically significant at the 95% confidence level. These findings indicate that the spatial distribution of educational institutions tends to follow settlement patterns but has not yet achieved spatial equity. This study highlights the importance of GIS-based spatial analysis as a decision-support tool for planning and optimizing the distribution of religious educational services to promote equitable access within the study area.
Analisis Klasterisasi Wilayah Berdasarkan Tingkat Kepadatan Penduduk Menggunakan Algoritma K-Means Berbasis Sistem Informasi Geografis Athallah, Mustafa Iffat Shafi; Saputro, Wahju Tjahjo; Pasa, Ike Yunia
Bulletin of Computer Science Research Vol. 6 No. 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i2.1015

Abstract

This study aims to analyze and map the population density of regencies and municipalities in Jawa Tengah using a spatial analysis approach based on Geographic Information Systems (GIS) and the K-Means clustering algorithm. The main issue addressed is the lack of systematically classified and informative population density mapping to support spatial analysis and regional decision-making. Secondary data were obtained from the Central Bureau of Statistics (BPS), including total population, population growth rate, population percentage, population density per square kilometer, and administrative boundary spatial data. Prior to clustering, all variables were normalized using the Min-Max scaling method to prevent bias caused by differences in variable ranges in Euclidean distance calculations. The research employed a quantitative descriptive method with K-Means (K=3) to classify regions into low, medium, and high population density clusters. The results indicate that out of 35 regencies/municipalities, 7 regions (20%) fall into the high-density cluster, 22 regions (62.86%) into the medium-density cluster, and 6 regions (17.14%) into the low-density cluster. The implementation of the clustering results into a thematic map using a color scheme of red (high), yellow (medium), and green (low) effectively visualizes spatial distribution patterns, thereby supporting data-driven regional planning and spatial-based policy formulation.
Analisis Prioritas Distribusi Pupuk Bersubsidi untuk Ketepatan Sasaran Menggunakan Skoring Berbasis Sistem Informasi Geografis Huwae, Hans Andriano Pradana; Saputro, Wahju Tjahjo; Murhadi, Murhadi
Bulletin of Computer Science Research Vol. 6 No. 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i2.1016

Abstract

The distribution of subsidized fertilizer plays an important role in supporting agricultural productivity; however, its implementation at the regional level still faces mismatches between allocation and actual land requirements. This study aims to determine the priority of subsidized fertilizer distribution for paddy agricultural land in Central Java Province using a scoring method based on Geographic Information Systems (GIS). The variables applied in this study include harvested area, land productivity, and elevation. The data used are secondary data obtained from the Central Statistics Agency (BPS) for the period 2022–2024. The scoring process was conducted using Microsoft Excel with a five-level ordinal scale and equal weighting for each variable. The scoring results were then integrated with spatial analysis using QGIS to produce thematic maps of fertilizer distribution priorities. The results indicate that each regency in Central Java Province has a different priority level, which is classified into low, medium, and high priority categories. Out of 35 regencies/cities analyzed, 17 regions (48.57%) were classified as high priority, 11 regions (31.43%) as medium priority, and 7 regions (20%) as low priority. Validation results show that most high-priority areas also receive relatively large amounts of subsidized fertilizer, although some discrepancies remain due to policy considerations and regional characteristics. This study demonstrates that a GIS-based scoring method can be used as a supporting tool for planning and evaluating subsidized fertilizer distribution in a more objective and spatially informed manner.
Utilization of ChatGPT and Artificial Intelligence in Educational Transformation: Trends, Challenges, and Effects on the Learning Process Rayadika, Bintang Fauzan; Saputro, Wahju Tjahjo; Chirzah, Dewi; Sain, Zohaib Hassan; Ambotang, Abdul Said Bin
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37606

Abstract

This study aims to identify and analyse the relationship between the level of student dependence on Artificial Intelligence (AI) applications, particularly ChatGPT, and its impact on their critical thinking skills, in line with educational transformation issues in the digital era. This quantitative research employed a convenience non-probability sampling approach, involving 112 student respondents in Indonesia. Data were analysed using reliability tests, normality tests, and the Paired Sample T-test. The findings indicate a high level of ChatGPT usage (Mean Score, M = 4.12), confirming students' enthusiasm for utilizing the tool for learning effectiveness and time efficiency. However, the statistical test revealed a significant difference between the level of ChatGPT usage and students' critical thinking ability (Sig. (2-tailed) = 0.009 < 0.05). This difference suggests that excessive reliance on the tool has the potential to impede the development of social and collaboration skills, and may significantly reduce students' learning independence and critical thinking ability. The study concludes that educational institutions must promptly formulate wise policies to guide students in optimally utilizing AI as a learning assistant, not as a substitute for the thinking process to ensure a balanced and sustainable educational transformation.
Co-Authors Abdul Fadlil Achmad, Lukman Ade Davy Wiranata Ambotang, Abdul Said Bin Arum Ratnaningsih Arum Ratnaningsih Athallah, Mustafa Iffat Shafi Aviani, Anggi Bambang Priyo Darminto Chirzah, Dewi Dimas Yunianto Herbowo Dwiyono, Pangga Cahyo Erni Seniwati Haidarrafiyan Perdanakusuma Hanifatus Sa’diyah Widihasaniputri Hermansah, Lutfi Hesti Wulan Sari Hidayatullah, Ridwan Huwae, Hans Andriano Pradana Ike Yunia Pasa Indra Ardiansyah Jayanti Putri Purwaningrum Jumasa, Hamid Muhammad Krisna Widatama Lestari, Widya Ayu Miftahul Huda Muchlas Muhammad Faisal Natsir Asrofi Murhadi Murhadi Murhadi Murhadi Murhadi Murinto Murinto Murinto Nepomuceno, Matthew Nia Ekawati, Nia Puspa Dewi Rayadika, Bintang Fauzan Riawan Yudi Purwoko Risma Hardini Ruzaini, Hafidz Sain, Zohaib Hassan Shofwan Hanief Singgih Arif Widodo Teguh Wibowo Tresnawati, Shandy Triana, Laely Tusino Tusino Wahyu Miftakhul Huda Widiati, Wahyu Eka Widihasaniputri, Hanifatus Sa’diyah Wuri Setyowardani