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All Journal Jurnal Ilmu Komputer dan Informasi TEKNOLOGI INFORMASI Jurnal Teknologi Informasi dan Ilmu Komputer SMARTICS Journal INOVTEK Polbeng - Seri Informatika Applied Information System and Management SENTIA 2016 SENTIA 2015 Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Teknologi Informasi dan Terapan (J-TIT) Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Abdimasku : Jurnal Pengabdian Masyarakat Best : Journal of Applied Electrical, Science and Technology BHAKTI PERSADA Jurnal Aplikasi IPTEKS (Journal of Applied Sciences and Technology) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal INFOTEL Jurnal Informatika Polinema (JIP) International Journal of Integrated Science and Technology Jurnal Pengabdian Kepada Masyarakat
Rahmad, Cahya
Politeknik Negeri Malang
Religion 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Pemanfaatan Data PDDIKTI sebagai Pendukung Keputusan Manajemen Perguruan Tinggi Ngatmari, Ngatmari; Musthafa, Muhammad Bisri; Rahmad, Cahya; Asmara, Rosa Andrie; Rahutomo, Faisal
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 3: Juni 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020722585

Abstract

Pangkalan Data Pendidikan Tinggi (PDDIKTI) merupakan sebuah sistem penyimpan data yang dikelola Pusat Data dan Informasi (Pusdatin) Kementrian Ristek dan Pendidikan Tinggi. Data yang tersedia di PDDIKTI merupakan data yang akurat, karena proses pelaporan data akademik secara berkala dua kali setiap. Data yang telah berlimpah tersebut, tentu sangat disayangkan jika tidak digunakan untuk keperluan yang lebih bermanfaat, misal untuk mengetahui pola akademik kelulusan mahasiswa dan prestasi akademik mahasiswa. Untuk memperoleh informasi-informasi penting tersebut bisa dilakukan dengan cara penggalian informasi (knowledge discovery). Teknik dalam memberikan solusi masalah tersebut adalah teknik klasifikasi untuk membantu pengambilan keputusan, misalkan Decission Tree (C4.5, ID3, CHAID, rule induction) dan teknik peramalan (forecasting) menggunakan metode simple moving average (SMA). Tujuan dari penambangan data PDDIKTI adalah untuk melakukan deteksi dini terhadap mahasiswa, sehingga dosen bisa memberikan masukan-masukan ketika mahasiswa tersebut telah diklasifikan sebagai mahasiswa yang lulus tidak tepat waktu serta memprediksi jumlah mahasiswa yang akan masuk pada perguran tinggi pada salah satu prodi X, sehingga manajemen baik tingkat program studi maupun universitas bisa melakukan langkah-langkah yang dianggap penting guna meningkatkan jumlah mahasiswa. Pengujian pada 2.601 record akademik mahasiswa dengan atribut ipk_sem1, ipk_sem2, ipk_sem3, ipk_sem4, pekerjaan_ortu, ket_lulus, rerata_ipk, penghasilan_ayah, untuk klasifikasi kelulusan mahasiswa menghasilkan nilai accuracy 86,54 % nilai precission 93,37% dan nilai recall 89,27% serta pengujian prediksi jumlah peminat program studi  diperoleh nilai accuracy 78,25 % dan MAPE sebesar 21,75 %.Abstract The Higher Education Database (PDDIKTI) is a data storage system managed by the Center for Data and Information (Pusdatin) of the Ministry of Research and Technology and Higher Education. The data available at PDDIKTI is accurate data, because the process of reporting academic data regularly twice each. The abundant data is certainly unfortunate if not used for more useful purposes, for example to find out the academic patterns of student graduation and student academic achievement. To obtain important information can be done by extracting information (knowledge discovery). Techniques in providing solutions to these problems are classification techniques to assist decision making, for example Decission Tree (C4.5, ID3, CHAID, rule induction) and forecasting techniques using simple moving average (SMA) methods. The purpose of PDDIKTI data mining is to conduct early detection of students, so that lecturers can provide input when the students have been classified as students who graduate not on time and predict the number of students who will enter the tertiary institutions in one of the X study programs, so that management both the level of study program and university can take steps that are considered important to increase the number of students. Tests on 2601 student academic records with the attributes ipk_sem1, ipk_sem2, ipk_sem3, ipk_sem4, occupation_ortu, graduated, average_ipk, income_ayah, for the graduation classification of students resulted in an accuracy value of 86.54% a value of 93.37% and a recall value of 89.27% and a test of 89.27% and a test of graduation prediction of the number of study program enthusiasts obtained an accuracy value of 78.25% and MAPE of 21.75%.
Pemilihan Daging Kelapa Bermutu Berdasarkan Warna dan Tekstur untuk Produksi Wingko Berkualitas Menggunakan Metode Support Vector Machine (SVM) dan Fusi Informasi Sumari, Arwin Datumaya Wahyudi; Alfian, Ahmad Alfian; Rahmad, Cahya
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 3: Juni 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021834391

Abstract

Mutu daging kelapa adalah faktor utama yang menentukan kualitas produksi wingko baik yang berasal dari kelapa muda atau kelapa tua dari varietas genjah. Dalam upaya menjaga kualitas produksi wingko kelapa, diperlukan teknik dalam memilih daging kelapa yang bermutu tinggi secara konsisten dengan bantuan teknologi. Dalam penelitian ini telah dibangun sebuah sistem pencitraan digital berbasis Kecerdasan Artifisial untuk pemilihan daging kelapa bermutu. Pemilihan tersebut didasarkan pada warna dan tekstur dengan memanfaatkan Support Vector Machine (SVM) sebagai pengklasifikasi, dan fusi informasi. Pengolahan citra digital menggunakan kombinasi metode Hue, Saturation, Value (HSV) dan metode Gray-Level Co-Occurrence Matrix (GLCM) sebagai pengekstraksi fitur warna dan fitur energi. Kedua macam fiur tersebut difusikan menjadi fitur tunggal guna mempercepat klasifikasi oleh SVM sebagai landasan pemilihan daging kelapa. Dengan menggunakan sistem ini, pemilihan daging kelapa bermutu berhasil mencapai akurasi sebesar 50%. Dalam penelitian ini juga ditemukan bahwa ketidak tepatan pelabelan memberi dampak signifikan pada akurasi pemilihan daging kelapa.AbstractThe quality of coconut meat is a primary factor which determines the quality of wingko production whether that comes from young coconut or old one from Genjah variety. In the effort of maintaining the quality of coconut wingko production, a technique for selecting high quality of coconut meat in consistent way with the aid of technology is needed. In this research, an Artificial Intelligence-based digital imaging system for selecting quality coconut meat has been developed. The selection is based on color and texture by utilizing Support Vector Machine (SVM) as classifier and information fusion. The digital image processing uses the combination of Hue, Saturation, Value (HSV) and Gray-Level Co-Occurrence Matrix (GLCM) methods as color and energy feature extractors. Both features are fused to obtain single feature to accelerate SVM classification as the basis for selection the coconut meat. By using this system, the selection of quality coconut meat is successful to achieve the accuracy as much as 50%. In this research it was also found that incorrectly labeling gives significant impact to the accuracy of coconut meat selection.
Implementasi Analisa Kemiripan Teks Untuk Penentuan Dinas Pada Keluhan Warga di Pemerintahan Daerah Rahmad, Cahya; Ratsanjani, M. Hasyim; Putra, Yudistira Eka
Teknologi Informasi : Teori, Konsep, dan Implementasi : Jurnal Ilmiah Vol 11 No 2 (2020): JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi Vol 11 No 2 Tahun 202
Publisher : LPPM STIMATA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36382/jti-tki.v11i2.494

Abstract

Pengaduan disampaikan oleh pelapor kepada pengelola pengaduan pelayanan publik atas pelaksanaan pelayanan yang tidak sesuai standar pelayanan, atau pengabaian kewajiban dan/atau pelanggaran larangan yang dilakukan oleh penyelenggara. Untuk memudahkan pengelolaan pengaduan secara nasional, Pemerintah Pusat telah meluncurkan website layanan pengaduan online bernama LAPOR dan untuk beberapa kota besar lainnya juga meluncurkan website serupa. Dari 264 juta penduduk Indonesia per hari, terdapat sekitar 300-570 pengaduan per hari yang disampaikan melalui website tersebut. Penelitian ini bertujuan untuk membuat website pengaduan warga menggunakan text mining yang mengimplementasikan analisis kemiripan teks untuk penentuan layanan. Pada penelitian ini digunakan metode text mining berupa text preprocessing dan pembobotan TF-IDF serta untuk analisis kemiripannya menggunakan metode Cosine Samemility. Hasil penelitian menghasilkan akurasi sebesar 75% dengan menggunakan pendekatan kesamaan pengaduan dengan pengaduan dan 80% dengan menggunakan pendekatan kesamaan rata-rata tiap departemen.
Comparative Analysis of Convolutional Neural Network (CNN) Architectures in Classification of Cattle and Pig Rambaks Haryono, Haryono; Rahmad, Cahya; Andoko, Banni Satria
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1793

Abstract

Rambak crackers are one of the food ingredients that have the characteristics of expansion and crispy texture. The general public often faces difficulties in distinguishing between pork and beef rambak crackers that have been processed, so it is important to rely on technology, especially artificial intelligence (AI), to help distinguish between them. This study was conducted to compare the capabilities of several CNN architectures in classifying images of pork and beef rambak crackers. The results of the study showed that the Xception architecture had the highest accuracy rate in classifying pork and beef rambak crackers, with an average accuracy rate of 98.24%.
INSTALLATION OF SOLAR-POWERED ELECTRIC WARMERS FOR DOC-BROODING IN BLITAR CHICKEN FARMERS Asrori, Asrori; Yudiyanto, Eko; Adiwidodo, Satworo; Witono, Kris; Rahmad, Cahya
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 7 No. 4 (2023): DESEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v7i4.2103

Abstract

Community Service (PPM) is held in Sumberejo Village, Sanankulon District, Blitar Regency. Chicken farmers face several challenges related to heating their chicken coops, including restrictions on using subsidized fuel or LPG, which force them to seek other heating alternatives. Leaks in heating systems that use LPG, which pose a fire hazard. Poor air quality and low oxygen levels in coops that use conventional heating methods (firewood and LPG). These challenges can contribute to the decline in the quality of Day-Old Chicks (DOC). This activity aims to install an electric warmer system that produces a safe and comfortable temperature for Day-Old Chicks (DOC) and is easy to use for breeders. In addition, build an independent energy source to run the heat treatment system equipment in the DOC-Brooding area with a solar panel installation. The installed 600 Wp PLTS system consists of 4 solar panels with a capacity of 150 Wp each, an 850 VA hybrid inverter and 100 Ah VRLA battery. Electrical energy from PLTS can power a 200 W electric warmer. The solar panel installations can produce an average of 3.6 kWh of electrical energy/day. So that the electricity savings from PLN can reach IDR. 162000 per month.
Mask Detection App Uses Haar Cascade and Convolutional Neural Network to Alert Comply with Health Protocols Rahmad, Cahya; Nurfaidah, Nurfaidah; Adhisuwignjo, Supriatna; Hani’ah, Mamluatul
Applied Information System and Management (AISM) Vol. 6 No. 2 (2023): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v6i2.31396

Abstract

This study aims to identify the face of a person whether wearing a mask or not wearing a mask accompanied by an appeal to the importance of wearing a mask. The contribution of this paper to science is to provide an overview of the results of accuracy, precision, recall used by the method used with data that can be accessed by many people, so that it can be developed further or can be compared. This system uses two techniques, namely the classification of whether a person is wearing a mask or not using the Convolutional Neural Network (CNN) model. The architecture used is DenseNet-12 to detect human face objects. The data used has a total of 2332 data sets, 200 of which were retrieved manually as research objects, and the rest were obtained from Kaggle. All data is evaluated using the camera in real-time. The test results show that testing scenario one has the highest score with an accuracy of 85% while testing scenario two gets results of 80%, the precision value in testing scenario one gets results of 75%, and testing scenario two has results of 88%. Scenarios 1 and 2 also have the same recall value of 100%. Based on the data analysis, it can be concluded that the use of the Haar Cascade approach and the Convolutional Neural Network with the DenseNet-121 architecture produces good performance in the case of real-time detection of masked and non-masked facial objects.
Evaluasi User Experience Aplikasi Virtual Reality Ikatan Kovalen Menggunakan UEQ Wibowo, Dimas Wahyu; Cahya Rahmad; Eka larasati Amalia; Nabila Rasyidah
Jurnal Informatika Polinema Vol. 12 No. 2 (2026): Vol. 12 No. 2 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i2.9259

Abstract

Penelitian ini bertujuan untuk mengevaluasi pengalaman pengguna (user experience) aplikasi pembelajaran kimia berbasis Virtual Reality (VR) bernama Chemulation yang dikembangkan untuk membantu pemahaman konsep ikatan kovalen. Pemanfaatan teknologi VR dalam pembelajaran diharapkan dapat meningkatkan keterlibatan dan minat belajar siswa melalui visualisasi konsep abstrak yang sulit dipahami dengan metode pembelajaran konvensional. Evaluasi pengalaman pengguna dilakukan menggunakan instrumen User Experience Questionnaire (UEQ) yang mencakup enam skala, yaitu daya tarik, kejelasan, efisiensi, ketergantungan, stimulasi, dan kebaruan. Penelitian ini melibatkan 104 responden yang terdiri dari siswa kelas XI SMAN 8 Malang dan pengunjung EXPO Hasil Karya Project Based Learning (PBL). Pemilihan responden dari dua latar belakang berbeda bertujuan untuk memperoleh gambaran pengalaman pengguna yang lebih beragam. Responden diminta mencoba aplikasi Chemulation selama 10–15 menit sebelum mengisi kuesioner UEQ. Data yang diperoleh dianalisis menggunakan UEQ Data Analysis Tool serta uji reliabilitas Cronbach’s Alpha. Hasil uji reliabilitas menunjukkan nilai Alpha memenuhi kriteria reliabel, sehingga instrumen dinilai konsisten dalam mengukur pengalaman pengguna. Hasil evaluasi menunjukkan seluruh skala UEQ memperoleh skor positif dan termasuk kategori Excellent berdasarkan benchmark UEQ global. Skala stimulasi memperoleh skor tertinggi sebesar (2,481) dengan varians terendah sebesar (0,42), yang menunjukkan konsistensi aplikasi dalam membangkitkan motivasi belajar pengguna. Sementara itu, skala kebaruan memperoleh skor terendah sebesar (1,901) dengan varians tertinggi sebesar (0,77), yang mengindikasikan perbedaan persepsi pengguna terhadap tingkat inovasi aplikasi. Secara keseluruhan, penelitian ini menunjukkan bahwa Chemulation berhasil memberikan pengalaman belajar yang positif dan menyenangkan, serta memberikan arahan pengembangan lebih lanjut pada aspek inovasi dan kejelasan.
PELATIHAN PENGEMBANGAN KONTEN DIGITAL MENGGUNAKAN ALAT DESAIN BERBASIS WEB DAN MOBILE Arie Rachmad Syulistyo; Milyun Ni’ma Shoumi; Septian Enggar Sukmana; Cahya Rahmad; Ariadi Retno Tri Hayati Ririd; Anugrah Nur Rahmanto; Devi Zettyara
Jurnal Pengabdian kepada Masyarakat Vol. 11 No. 1 (2024): JURNAL PENGABDIAN KEPADA MASYARAKAT 2024
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v11i1.4764

Abstract

The internet and information systems are rapidly evolving, with technology becoming increasingly sophisticated worldwide. Consequently, entrepreneurs can now offer valuable information or conduct business from the convenience of their own homes. In this context, it is expected that PKK mothers, specifically those affiliated with the PKK group RW 07 in Purwodadi Village, Blimbing District, Malang City, should seize these opportunities by utilizing digital content. The PKM Community Service Team is encouraged to offer training in digital content creation in light of advancements in information technology. The team is currently seeking web-based and mobile design tools that can be readily utilised by PKK group mothers. The digital content produced can be employed to advertise activities within the RW community or their own merchandise. Following the implementation of community service, the PKM team evaluated the PKK group with 5 questions. The PKK group deems the presented material useful and the program beneficial for enhancing their skills. Overall, the PKK group expresses satisfaction with the program's implementation. Additionally, following observations made by the PKM Team, the information we offer has been utilized to produce captivating content for broadcasting announcements on social media platforms belonging to the PKK organization.
APLIKASI PERMAINAN ‘FIX YOU’ SEBAGAI PENGENALAN MENTAL HEALTH TERHADAP ANAK PANTI ASUHAN Septian Enggar Sukmana; Cahya Rahmad; Annisa Puspa Kirana; Moch. Zawaruddin Abdullah; Bagas Satya Dian Nugraha; Subhan Indra Prayoga
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 1 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i1.5012

Abstract

Lack of education and knowledge about mental illness in Indonesia leads to wrong handling of its sufferers. To raise public awareness epescially for orphan, there is a need for an educational medium that is easily accessible and attractive. One solution is to use games, because this medium is more interesting and interactive. A visual novel game with a light storyline and interesting characters can provide education on how to deal with people with potential mental illness. This game uses fuzzy logic to generate different endings based on the player's dialogue choices. The results of the test on 53 respondents showed an average interpretation of 87.36% on the Likert scale, which indicates that this game is highly accepted by users.
Media Informasi Masjid Sebagai Sarana Standarisasi Informasi Masjid Attharuf Kepada Masyarakat Cahya Rahmad; Septian Enggar Sukmana; Annisa Puspa Kirana; Moh. Zawaruddin Abdullah; Vivin Ayu Lestari; Triana Fatmawati
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 1 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i1.7466

Abstract

Mosques play a vital role as centers of worship and socio-religious activities. However, information dissemination often goes unnoticed, even when shared through messaging applications. Baital Ma'ruf Mosque in Malang Regency faces similar challenges. Therefore, a mosque information display system was implemented. This community service program aims to standardize information and make it easier for mosque administrators to update content in real-time. The results of this initiative show that 85% of congregants feel it's now easier to get information. The Baital Ma'ruf Mosque administrators have responded very positively, affirming that this mosque information system brings significant benefits to both congregants and the wider community, making it an innovative solution for the mosque's digital transformation.
Co-Authors A. Shabrina Afrah Ade Putra Lesmana Adhisuwignjo, Supriatna Affandi, Luqman Afrah, A. Shabrina Ahya, Anugrah Vito Alfian, Ahmad Alfian Alviando Wisang , Muhammad Amanda Patria Putra Amelia Marshanda Ananta, Ahmadi Yuli Andriani Parastiwi Anik N. Handayani Annisa Puspa Kirana Anugrah Nur Rahmanto Anugrah Vito Ahya Ariadi Retno Tri Ariadi Retno Tri Hayati Ririd Arie Rachmad Syulistyo Arief Prasetyo Arief Prasetyo Arwin Datumaya Wahyudi Sumari Asrori Asrori Astiningrum, Mungki Bagas Satya Dian Nugraha Banni Satria Andoko Bayu Hari Saputro Ba’ar Wasil Razzaq Budi Harijanto, Budi Cahyono, Lulus Okta Candra Bella Vista Deddy Kusbianto Devi Zettyara Dewandaru, Fajar Dika Rizky Yunianto Dimas Rossiawan Hendra Putra Dimas Wahyu Wibowo Dodo Zulkarnain Dwi Puspitasari Dwi Puspitasari DWI PUSPITASARI Eka Larasati Amalia Eko Hendri S Eko Yudiyanto Ekojono Ekojono Erfan Rohadi Erlangga Adha Widyatama Faisal Rahutomo Fajar Dewandaru Febriyanto, Nugroho Frangky Tupamahu Hapsari, Indri Tri Haryono Haryono Hendra Pradibta Hendrawan, Muhammad Afif Ika Oktavia Pristisari Imam Fahrur Rozi Indri Tri Hapsari Inta Widiastuti Kris Witono Laras Palupi P Lesmana, Ade Putra Mamluatul Hani’ah Marcelina Alifia Rahmawati Martin Nugroho Parapat Maula, Ahmad Zaky Moch Zawaruddin Abdullah Moch. Febry Ramadhani Muhammad Bisri Musthafa Musthafa, Muhammad Bisri Nabila Rasyidah Ngatmari Ngatmari Ngatmari, Ngatmari Noor Hidayat, Mohamad Nugroho Febriyanto Nur Afifi, Yunis Fiatin Nurfaidah Nurfaidah Nurudin Santoso Palupi P, Laras Parapat, Martin Nugroho Pramana Yoga Saputra Pristisari, Ika Oktavia Putra, Amanda Patria Putra, Yudistira Eka Rahmat Satrio Wibowo Ramadhani, Moch. Febry Ratsanjani, M. Hasyim Razzaq, Ba’ar Wasil Riza Awwalul Baqy Riza Awwalul Baqy Rosa A. Asmara Rosa Andrie Asmara Rudy Ariyanto Santoso, Nurudin Saputro, Bayu Hari Satworo Adiwidodo Septian Enggar Sukmana Shoumi, Milyun Ni’ma Subhan Indra Prayoga surya Wijaya, Wldan Tri, Ariadi Retno Triana Fatmawati Ulla Delfana Rosiani Vandry Eko Haris Setiyanto Vivin Ayu Lestari Widiastuti, Inta Yan Watequlis Syaifudin Yudistira Eka Putra Yuninanto, Dika Rizky Yuri Ariyanto Yuri Ariyanto Zulkarnain, Dodo