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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TELKOMNIKA (Telecommunication Computing Electronics and Control) JUITA : Jurnal Informatika Majalah Kedokteran Gigi Indonesia Scientific Journal of Informatics EXPOSURE JOURNAL Indonesian Journal of Science and Technology JEES (Journal of English Educators Society) JOIN (Jurnal Online Informatika) Sistemasi: Jurnal Sistem Informasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal Taman Vokasi UICELL Conference Proceeding SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan IJEMS (Indonesian Journal of Environmental Management and Sustainability) ILKOM Jurnal Ilmiah Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer PeTeKa NUSANTARA : Jurnal Ilmu Pengetahuan Sosial JURNAL PENDIDIKAN TAMBUSAI Jurnal Basicedu Journal on Education JURTEKSI Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Indonesian Journal on Learning and Advanced Education (IJOLAE) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Pendidikan dan Konseling Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Pengabdian Masyarakat Bumi Raflesia JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Vocational Education Studies Jurnal Abdi Insani G-Tech : Jurnal Teknologi Terapan International Journal of Advances in Data and Information Systems Indonesian Journal of Computing, Engineering, and Design English Teaching and Linguistics Journal (ETLiJ) Indonesia Berdaya Journal Social Science And Technology For Community Service Sawala : Jurnal pengabdian Masyarakat Pembangunan Sosial, Desa dan Masyarakat Jurnal Pengabdian Masyarakat Indonesia Vocational : Jurnal Inovasi Pendidikan Kejuruan Jurnal Abdi Masyarakat Indonesia Mechanical Engineering for Society and Industry METAL : Jurnal Sistem Mekanik dan Termal Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Basicedu Scientific Journal of Informatics KUNKUN Journal of Multidisciplinary Research Scientific Journal of Engineering Research
Muhammad Kunta Biddinika
Universitas Ahmad Dahlan
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Manajemen dan Strategi Hubungan Masyarakat Untuk Kerja Sama Dunia Kerja Dengan SMK di Kota Metro Lampung Desi Lestari; Muhammad Sayuti; Muhammad Kunta Biddinika
Jurnal Pendidikan dan Konseling (JPDK) Vol. 4 No. 6 (2022): Jurnal Pendidikan dan Konseling: Special Issue (General)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpdk.v4i6.10026

Abstract

Penelitian ini bertujuan untuk menganalisis manajemen dan strategi hubungan masyarakat pada Sekolah Menengah Kejuruan (SMK) dalam upaya yang dilakukan untuk membangun kerja sama dengan dunia kerja. Penelitian ini menggunakan metode deskriptif kualitatif. Teknik pengumpulan data menggunakan metode wawancara semi terstruktur. Hasil penelitian menunjukkan bahwa manajemen dan strategi hubungan masyarakat untuk kerja sama dunia kerja dengan SMK di Kota Metro meliputi kegiatan perencanaan survei dan analisis, penyusunan program, anggaran pembiayaan, penyelenggaran, pengembangan kehumasan. Pelaksanaan kegiatan kerja sama yaitu pengorganisasian tim, koordinasi dunia kerja, nota kesepahaman, sinkronisasi kurikulum, praktik kerja lapangan, uji kompetensi keahlian, pelatihan dan pemagangan guru dan program teaching factory. Evaluasi kerja sama meliputi kegiatan evaluasi perencanaan, evaluasi pelaksanaan, analisis dampak pelaksanaan, rencana tindak lanjut. Implementasi dari semua kegiatan kerja sama telah dilaksanakan, meskipun beberapa kegiatan seperti nota kesepahaman, program keterserapan lulusan di dunia kerja, magang guru dan teaching factory harus ditingkatkan. Strategi yang digunakan dalam membangun kerja sama meliputi koordinasi, pendekatan, dan terus menjalin komunikasi serta terbuka dalam memberikan informasi. Diharapkan manajemen dan stategi hubungan masyarakat untuk kerja sama dunia kerja dapat meningkatkan kompetensi peserta didik di Kota Metro.
Rancangan Sistem Klasifikasi Kekurangan Gizi Balita Dengan Metode K-Nearest Neighbor Syahrani Lonang; Anton Yudhana; Muhammad Kunta Biddinika
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.7834

Abstract

 Malnutrition in toddlers is a serious problem faced by developing countries like Indonesia, and the resulting long-term effects can reduce the intelligence of toddlers. The classification of the nutritional status of children under five is still carried out conventionally in community health centers. The K-Nearest Neighbor algorithm is included in a machine learning algorithm that can be used to classify one of the nutritional status classification problems. K-NN is used as a class determination algorithm for new data to be input according to the format. This research begins with a literature study, then identifies needs, followed by data collection that is planned to be used in the system to be built as well as a reference for making the design and the final stage of system design. This research succeeded in creating a system design using the Unified Model Language (UML), one use case that contains four functional systems, including uploading dataset files, displaying datasets, testing the accuracy of datasets, predicting new data, and designing system interfaces that will make system development easier..
Evaluating The Application of Library Information System Technology using the PIECES Method in Remote Areas Anton Yudhana; Herman Herman; Suwanti Suwanti; Muhammad Kunta Biddinika
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1539.250-261

Abstract

Over five years, the implementation of the library information system at IKIP Muhammadiyah Maumere faced a challenge, frequent errors during data input that hindered users from fully utilizing the system. These issues not only affected users’ interest but also highlighted the significance of the human factor in shaping the quality of an information system. To make full use of the system, it was crucial to identify and address the problems associated with it. This research delved into the experiences of 242 library information system users, including lecturers, students, and librarians, by using the PIECES method. The goal was to analyze users’ satisfaction and uncover any underlying issues within the system. The results of the PIECES analysis revealed average satisfaction scores, showcasing users' contentment with the system's performance (3.77), information (3.79), economy (3.80), control (3.77), efficiency (3.77), and service (3.89). These findings suggest that the library information system has been meeting users' expectations. However, a significant problem emerged in the performance variable, particularly in the system stability. Additionally, issues related to data compatibility, duplication in storage, and users’ authority management, access control, and system errors were observed in the information and control variables. Based on these identified challenges, recommendations for system improvement were made by targeting low satisfaction levels. Proposed solutions involve enhancing data management, storage practices, user access control, and reducing the risk of system errors, ensuring more efficient and reliable library information system
Early identification of sleep bruxism among dental students: an observational study Yunisa, Fahmi; Kurniasih, Indri; Putri, Vinanga Dentia; Biddinika, Muhammad Kunta
Majalah Kedokteran Gigi Indonesia Vol 10, No 2 (2024): August
Publisher : Faculty of Dentistry, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/majkedgiind.86512

Abstract

Psychological conditions such as stress, anxiety, and depression can trigger sleep bruxism, a parafunctional activity. Dental students are one group that may experience psychological difficulties. Study workloads for dental students can cause stress and lead to sleep bruxism. This research aimed to identify the incidence of sleep bruxism among dental students. Participants were dental students of Universitas Muhammadiyah Yogyakarta (n = 200) aged 23–29 years, with 1–5 years of study periods. We adapted a questionnaire from the American Academy of Sleep Medicine to detect sleep bruxism. This questionnaire contains eight questions about the signs and symptoms experienced by respondents with sleep bruxism. The result of this study showed that only 18% of the participants had sleep bruxism. It can be concluded that the incidence of sleep bruxism in dental students is relatively low.
KERANGKA SISTEM ASET DIGITAL PADA INFRASTRUKTUR BLOCKCHAIN YANG SEJALAN DENGAN SYARIAH ISLAM Herman, Herman; Husna, Jannatul; Biddinika, Muhammad Kunta; Yulianto, Dinan; Fitriah, Fitriah; Suwanti, Suwanti
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 2 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i2.5431

Abstract

Aset digital mengalami pertumbuhan signifikan dalam era digital bahkan menjadi pilar utama dalam perubahan paradigma keuangan global. Fenomena ini mencakup cryptoassets, token digital, properti digital, dan lainnya, yang semuanya dikelola secara digital. Sebagian aset digital dapat digunakan sebagai alat pembayaran dan lainnya tetap sebagai media investasi. Blockchain memainkan peran krusial dalam mendukung ekosistem aset digital, dimana aset digital diamankan dengan teknologi kriptografi yang dikenal dengan cryptoassets. Namun tantangan seperti regulasi, volatilitas pasar, dan masalah lingkungan memerlukan solusi lintas sektor diberbagai negara. Bagi pengguna aset digital yang beragama Islam, kepatuhan terhadap prinsip syariah menjadi isu yang penting, yaitu bagaimana menciptakan lingkungan yang sesuai dengan syariah. Masalah terkait larangan gharar, maisir, riba dan prinsip keadilan dalam transaksi. Prinsip syariah pada cryptocurrency tidak hanya menciptakan lingkungan finansial yang sesuai dengan nilai-nilai Islam, tetapi juga memberikan kepastian hukum, menjaga keseimbangan distribusi kekayaan masyarakat, dan memastikan bahwa aktivitas ekonomi memberikan manfaat positif secara luas. Penelitian ini bertujuan untuk menciptakan kerangka sistem aset digital pada infrastruktur blockchain yang sejalan dengan prinsip syariah Islam. Kerangka ini diharapkan dapat mendorong penerapan aset kripto yang lebih luas dan berkelanjutan. Artikel ini malaporkan hasil penelitian yang telah selesai merumuskan ekosistem cryptocurrency sesuai syariah dengan enam pilar utama, yaitu Perisai Syariah, Platform Blockchain, Aplikasi, Pertukaran dan Pasar, serta Regulasi Keuangan. Ekosistem cryptocurrency tersebut merupakan sebuah kerangka sistem aset digital pada infrastruktur blockchain yang memberikan landasan kokoh untuk mencapai kesesuaian dengan prinsip-prinsip syariah.
Model Pembelajaran Menenun di Madrasah Ibtidaiyah Musfirah; Nur Mahmudah, Fitri; Biddinika, Muhammad Kunta
Jurnal Basicedu Vol. 7 No. 5 (2023)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/basicedu.v7i5.6166

Abstract

Kain tenun Alor merupakan hasil karya masyarakat Alor yang diwarisi secara turun temurun. Pembelajaran   menenun di sekolah dasar merupakan salah satu upaya agar kebudayaan ini tidak akan hilang ditelan zaman. Tujuan peneliatan ini adalah untuk menganalisis bagaimana model ideal dalam pembelajaran menenun dan untuk mengetahui apa saja kendala-kendala yang dihadapi dalam pembelajaran menenun.. Metode yang digunakan dalam penulisan tesis ini adalah kualitatif dengan pendekatan studi kasus. Dimana peneliti terlibat langsung dalam proses pengumpulan data pada peserta didik kelas IV dan guru kelas. Hasil dari peneliian ini menemukan bahwa model ideal dalam pembelajaran menenun di Madrasah Ibtidaiyah dapat di gambarkan dengan tiga langkah yaitu: input, proses dan out put. Input berarti sebelum melakukan proses pembelajaran guru harus memberikan edukasi dan kesempatan kepada peserta didik. Setelah itu di lakukan proses atau tahapan perancangan yang menggunakan ketersediaan sarana prasaran dengan melibatkan peran orang tua dan masyarakat setempat. Maka out put menghasikan ketercapaian pembelajaran yang diharapkan, berupa peserta didik dapat menenun, menjaga nilai budaya dan meningkatkan ekonomi. Berdasarkan hasil penelitian yang dilakukan ditemukan 10 kategorisasi meliputi: partisipasi aktif, efektifitas pembelajaran menenun, life skill, learning mindset, kemampuan menenun, proses menenun, kesempatan pembelajaran menenun, monitoring pembelajaran, supporting system dan manajemen pembelajaran menenun
Students Challenges in Learning Speaking Using E-Portfolio Ali, Raden Muhammad; Affan, Dhava Chairul; Hastuti, Dwi; Azhari, Ahmad; Biddinika, Muhammad Kunta
English Teaching and Linguistics Journal (ETLiJ) Vol 5, No 1 (2024): ETLIJ - English Teaching and Linguistics Journal
Publisher : English Teaching and Linguistics Journal (ETLiJ)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/etlij.v5i1.17658

Abstract

E-portfolio is one of the learning tools that has been applied for learning speaking at higher education. Although researchers and educators agree that e-portfolio has great potential and many advantages as assessment and learning tools, its implementation in the teaching and learning process is not as easy as expected. The evaluation of its implementation is urgently needed. This study aims to investigate university students’ challengess in learning speaking using e-portfolio. This research applies a descriptive qualitative method. The subjects of this research are the fifth semester students of the class of Public Speaking in the Academic Year of 2022/2023. Data was collected through observation, interview, and documentation. The data analysis technique is based on the theory of Matthew B Miles which includes: data reduction, data display, and conclusion drawing/verification.The result shows that students who participated in the class of Public Speaking which applies e-portfolio experienced several challenges, such as they: 1) are sometimes reluctant and lack of motivation, 2) are required to have a stable internet connection, 3) need some adaptations to develop e-portfolio as new learning tool,4) are required to have some ideas and creativities
Optimal Feature Selection in Diabetes Classification Using the MLP Algorithm Jogo Samodro, Maulana Muhamammad; Biddinika, Muhammad Kunta; Fadlil, Abdul
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 2 (2024): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.94575

Abstract

In 2021, approximately 531 million people worldwide were affected by diabetes, with 90% diagnosed as type 2. Diabetes often coexists as a comorbidity with other conditions such as kidney and heart disease. The research aims to employ machine learning for diabetes classification, with the Multilayer Perceptron (MLP) algorithm being a key component in the early detection process. The experiments utilized data from the UCI database of Sylhet hospitals, featuring 16 attributes and 2 classes indicating positive and negative diabetes cases. Performance testing using the MLP algorithm involved varying the number of neurons in the hidden layer. The research architecture is denoted as n:p:m, where n represents 16 neurons based on the attributes, m signifies 2 neurons based on the number of classes, and p undergoes variations. The machine learning tool employed in this research is Weka. Within the Weka tool, MLP offers types of hidden layer neuron configurations: 'a', 't', 'i', and 'o'. The test results, conducted with 520 training data and testing on the same dataset, yielded accuracies of 98.85%, 98.85%, 99.42%, and 98.46% for types 'a', 't', 'i', and 'o', respectively.
Machine Translation Indonesian Bengkulu Malay Using Neural Machine Translation-LSTM Miranda, Bella Okta Sari; Yuliansyah, Herman; Biddinika, Muhammad Kunta
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 3 (2024): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.98384

Abstract

The machine translator is an application in Natural Language Processing (NLP) that focuses on translating between languages. Several previous research have used Statistical Machine Translation (SMT) with a parallel corpus of Indonesian and Bengkulu Malay totaling 3000 data points. However, SMT performs poorly when confronted with limited data and infrequent language pairs. Therefore, this study aims to build a machine translation model from Indonesian to Bengkulu Malay using an NMT approach with Long Short-Term Memory (LSTM), and to create a parallel corpus of 5261 data pairs between Indonesian and Bengkulu Malay. The research was conducted in three stages: data collection, data preprocessing, training and modeling, and evaluation. The performance of the machine translator was evaluated using the Bilingual Evaluation Understudy (BLEU). The evaluation results show that this model achieved the highest average score of 0.6016332 on BLEU-1 and the lowest average score of 0.3680788 on BLEU-4. These results indicate that considering the natural linguistic structural differences between Indonesian and Bengkulu Malay can be suggested as the best solution for translating from Indonesian to Bengkulu Malay.
Pengaruh Persepsi tentang Kepemimpinan Kepala Sekolah Budaya Kerja dan Citra Diri terhadap Kinerja Guru Tidak Tetap Sekolah Menengah Kejuruan Negeri Se Kabupaten Cilacap Indryanto, Mokhamad Arif; Susatya, Edhy; Biddinika, Muhammad Kunta
Jurnal Pendidikan Tambusai Vol. 6 No. 1 (2022): 2022
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v6i1.3604

Abstract

Penelitian ini bertujuan untuk menganalisis; (1) pengaruh persepsi tentang kepemimpinan kepala sekolah, terhadap kinerja guru tidak tetap, (2) pengaruh persepsi budaya kerja terhadap kinerja guru tidak tetap, (3) pengaruh citra diri terhadap kinerja guru tidak tetap, dan(4) pengaruh persepsi tentang kepemimpinan kepala sekolah, budaya kerja, dan citra diri terhadap kinerja guru tidak tetap SMK Negeri se Kabupaten Cilacap. Penelitian dilaksanakan dengan pendekatan kuantitatif korelasional untuk melihat pengaruh tiga variabel bebas berupa kepemimpinan kepala sekolah (X1), budaya kerja (X2), dan citra diri (X3) terhadap satu variabel terikat kinerja guru tidak tetap (Y). Sampel ditentukan dengan teknik simple stratified random sampling sejumlah 77 responden dari 255 anggota populasi. Data dianalisis menggunakan uji asumsi klasik berupa uji normalitas, uji multikolinieritas, uji heteroskedastisitas, uji autokorelasi dan menggunakan uji regresi linier berganda untuk menguji hipotesis penelitian. Hasil penelitian menunjukan; (1) tidak ada pengaruh signifikan kepemimpinan kepala sekolah terhadap kinerja guru tidak tetap, (2) ada pengaruh signifikan budaya kerja terhadap kinerja guru tidak tetap, (3) ada pengaruh signifikan citra diri terhadap kinerja guru tidak tetap, dan (4) ada pengaruh signifikan secara simultan, kepemimpinan kepala sekolah, budaya kerja, dan citra diri terhadap kinerja guru tidak tetap. Harga koefisien determinasi penelitian sebesar 0,653 yang artinya variabel persepsi tentang kepemimpinan kepala sekolah, persepsi budaya kerja, dan citra diri secara simultan mempengaruhi 65,3% kinerja guru tidak tetap dan sisanya 34,7% dipengaruhi oleh faktor lain. variabel di luar penelitian ini.
Co-Authors Abdul Fadlil Abrar Ridwan Aditya Kolakoti Affan, Dhava Chairul Agus Aktawan, Agus Ahmad Azhari Ahmad Kafrawi Nasution Al Baqir, Mufaddal Aldri Frinaldi Alfaridhi, Dio Fahmi Alghiffari, Eka Kevin Ali, Raden Muhammad Aliyah Rasyid Baswedan Alper Calam Amalia, Nabilah Aminuyati Amrullah, Abdullathif Karim Ananda, Anisa Rizki Annafii, Moch. Nasheh Anton Yudhana Areeprasert, Chinnathan Asep Bayu Dani Nandiyanto Asep Setyaji Asih, Hayati Mukti Azwan, Hasnul B. A. Budiman Bakhtiyor Nakhshiniev Bambang Hariyadi Bella Okta Sari Miranda Budi Santosa Budi Santosa Caesar Irjayana, Rizky Dahlan, Bakrun Damayanti, Nunung Desi Lestari Dewi Soyusiawaty Dhias Cahya Hakika Dhias Cahya Hakika Diyah Puspitarini Dori Yuvenda Dwi Hastuti Edhy Susatya Edhy Susatya, Edhy Egi Dio Bagus Sudewo F. Triawan Fadliondi Fatimah, Vita Arfiana Nurul Febriyanto, Bayu Fitri Nur Mahmudah Fitri Nur Mahmudah Fitriah Fitriah Fitriah Fitriah Fumitake Takahashi Gilang Isa Baskara Hasanah , Noviatun Hasanah, Noviatun Herman Herman Herman Herman Herman Herman Yuliansyah, Herman Husna, Jannatul Ikhlasul Amal Imam Riadi Indryanto, Mokhamad Arif Iqwan Sanjani, Muhammad Irhash Ainur Rafiq Jogo Samodro, Maulana Muhamammad Junedi Haryanto Kamis, Arasinah Karima Anggita Wijayanti Kariyamin, Kariyamin Khaerati Syam, Ummi Khoirul Anam Dahlan Kintung Prayitno, Kintung Kurniasih, Indri Kusnadi, Andre Martomo Setyawan Martomo Setyawan Maulana Muhammad Jogo Samudro Maulana, Irvan Mbuo, Wilda Mochamad Syamsiro Muhajir Yunus Muhamad Agus Sriyono Muhamad Alwi Talib Muhammad Ali, Raden Muhammad Aziz Muhammad Eko Agung Nugroho Muhammad Fahmi Mubarok Nahdli Muhammad Sayuti Muji Setiyo Murinto Musfirah Nadia, Hafizhatu Narpaduita, Pamastu Nofikusumawati Peni, Nur Robiah Nor Azwadi Che Sidik Nur Mahmudah, Fitri Nur Makkie Perdana Kusuma Olusegun David Samuel Opwora, Meshack Pamungkas , Rani Rahmawati Peni, Nur Robiah Nofi Kusumawati Pratama, Genta Putri, Anggista Malya Putri, Vinanga Dentia Rahayu, Aster Razak, Farhan Radhiansyah Ridwan Abdurrahman Rofiah, Nurul Hidayati Rokhmah, Na'ilir S. Hanaoka Safitri, Anggi Satriya Dwi Putra Sayuti, Muhammad Setiawati, Nelly Setyawati, Nelly Sholihah, Mona Shun-ichiro Ohmi Sonny Abriantoro Wicaksono Srikandi Novianti Subekti, Dewi Ani Sugeng Santoso Sugianti, Ardina Fitri Suhendra Sunardi, Sunardi Suprap, Suprap Susanto, Harry Agus Suwanti Suwanti Syahputra, Derly Syahrani Lonang Syamsiar, Syamsiar Tri Kuat Tri Kuat, Tri Triawan, Farid Tristanti, Novi Tuessi Ari Purnomo Wadiyo Wadiyo Wijayanti, Karima Anggita Wiwik Handayani Yulianto, Dinan Yunisa, Fahmi Yuwantina, Anissa Zein, Wahid Alfaridsi Achmad