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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Majalah Kedokteran Gigi Indonesia Scientific Journal of Informatics ELINVO (Electronics, Informatics, and Vocational Education) EXPOSURE JOURNAL Indonesian Journal of Science and Technology 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) 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) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) English Language Teaching Educational Journal Jurnal Pendidikan dan Konseling Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Vocational Education Studies (JOVES) 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 IJORER : International Journal of Recent Educational Research Jurnal Abdi Masyarakat Indonesia Mechanical Engineering for Society and Industry Jurnal Impresi Indonesia METAL : Jurnal Sistem Mekanik dan Termal Jurnal Algoritma Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Basicedu Scientific Journal of Informatics KUNKUN Journal of Multidisciplinary Research Scientific Journal of Engineering Research Jurnal Komtika (Komputasi dan Informatika)
Muhammad Kunta Biddinika
Universitas Ahmad Dahlan
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Analysis of School Life Expectancy Prediction in North Sumatra using the ARIMA Method for the 2024-2025 Period Sudewo, Egi Dio Bagus; Biddinika, Muhammad Kunta; Dahlan, Khoirul Anam; Prayitno, Kintung; Kariyamin, Kariyamin
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4611

Abstract

This study analyzes the projection of the School Life Expectancy (HLS) in 33 districts/cities in North Sumatra Province using the ARIMA method. Historical HLS data from 2019 to 2023 were used to forecast the HLS values for 2024 and 2025. The prediction results show an increase in HLS in most regions, with several districts/cities such as Labuhan Batu, Pematangsiantar City, and Padangsidempuan City experiencing significant growth. However, some regions like Mandailing Natal and Samosir show a more stable trend without significant increases. These findings indicate disparities in access and quality of education across various regions in North Sumatra. Overall, the ARIMA model provides a positive forecast for future HLS improvements, though regional disparities require special attention from relevant authorities to promote equal access to education.
JAVANESE SCRIPT HANACARAKA CHARACTER PREDICTION WITH RESNET-18 ARCHITECTURE Sudewo, Egi Dio Bagus; Biddinika, Muhammad Kunta; Fadlil, Abdul
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 2 (2024): Maret 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i2.3017

Abstract

Abstract: This study aims to train computers to recognize Javanese script characters known as Hanacaraka. The evaluation was conducted on the use of Convolutional Neural Network (CNN) with the ResNet-18 architecture in recognizing these characters. The research objective is to overcome traditional character recognition barriers and improve accuracy. The method employed includes building a CNN model with the ResNet-18 architecture and using diverse datasets. The results show a training accuracy of 100%, validation accuracy of 98.01%, and accuracy, precision, recall, and F1-score each at 100%. This study concludes that the developed model successfully achieves a high level of accuracy and contributes positively to the development of Javanese Hanacaraka character recognition technology. Keywords: convolution neural network (CNN); javanese hanacaraka script; resnet-18           Abstrak: Penelitian ini bertujuan melatih komputer untuk mengenali huruf aksara Jawa Hanacaraka. Evaluasi dilakukan terhadap penggunaan Convolutional Neural Network (CNN) dengan arsitektur ResNet-18 dalam pengenalan karakter tersebut. Tujuan penelitian adalah mengatasi hambatan pengenalan karakter tradisional dan meningkatkan akurasi. Metode yang digunakan mencakup pembuatan model CNN dengan arsitektur ResNet-18 dan penggunaan dataset yang beragam. Hasilnya menunjukkan akurasi pelatihan 100%, validasi 98.01%, dan akurasi, presisi, recall, dan F1-score masing-masing sebesar 100%. Simpulan penelitian ini adalah bahwa model yang dikembangkan berhasil mencapai tingkat akurasi yang tinggi dan memberikan kontribusi positif pada pengembangan teknologi pengenalan karakter Hanacaraka Jawa.Kata kunci: convolution neural network (CNN); huruf aksara jawa hanacaraka; resnet-18 
SUPERVISI KEPALA SEKOLAH SANGAT BERPERAN TERHADAP PENINGKATAN KOMPETENSI PEDAGOGIK GURU KEJURUAN YANG MEMILIKI LATAR BELAKANG NON KEGURUAN DI SMK MUHAMMADIYAH 3 DOLOPO Hariyadi, Bambang; Biddinika, Muhammad Kunta; Mahmudah, Fitri Nur; Kuat, Tri; Dahlan, Bakrun
PeTeKa (Jurnal Penelitian Tindakan Kelas dan Pengembangan Pembelajaran) Vol 6, No 1 (2023): PeTeKa (Jurnal Penelitian Tindakan Kelas dan Pengembangan Pembelajaran)
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/ptk.v6i1.95-100

Abstract

Dalam rangka Penelitian tindakan sekolah memberikan tujuan  untuk mengungkapkan peranan supervise kepala sekolah yang berimbas pada peningkatan kompetensi pedagogik guru kejuruan yang memiliki latar belakang non keguruan di SMK Muhammadiyah 3 Dolopo. Penelitian berikut  menggunakan metode desain  Action Research . Akibat yang ditimbulkan penelitian ini menunjukkan hasil supervise yang dilaksanakan kepala sekolah dengan dibantu wakil kepala urusan  kurikulum dapat meningkatkan kompetensi pedagogik guru kejuruan yang berlatar belakang non keguruan. Hal ini dibuktikan dengan adanya pertemuan individual diantaranya  kepala sekolah , tim supervisi akademik serta semua guru dapat merefleksikan proses pembelajaran guru tersebut. Selain itu pembuatan perangkat pembelajaran guru juga lebih maksimal karena bimbingan langsung dari kepala sekolah. Keterkaitan  dari penelitian ini yaitu jika fungsi  supervise kepala sekolah selalu dilakukan secara rutin dan berkala , oleh karena itu guru akan tertib dalam pembuatan perangkat pembelajaran sehingga akan meningkatkan kualitas pembelajaran di kelas. Ini juga akan memberikan masukan yang terbaik antara kepala sekolah berserta  guru.
Performance Analysis for Classification of Malnourished Toddlers Using K-Nearest Neighbor Lonang, Syahrani; Yudhana, Anton; Biddinika, Muhammad Kunta
Scientific Journal of Informatics Vol 10, No 3 (2023): August 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i3.45196

Abstract

Purpose: Malnutrition in toddlers is a nutritional issue that Indonesia is still dealing with. Toddlers can suffer from decreasing cognitive and physical abilities, as well as being categorized as having a high risk of death. Early detection is crucial for preventing this and providing appropriate treatment if malnutrition is detected. Classification is a machine-learning technique widely used in disease detection. Because it is simple and easy to implement, K-Nearest Neighbor is the most used classification algorithm. Detecting malnutrition can be done automatically and more quickly by utilizing classification and machine learning algorithms. The aim of this study was to analyze performance to find out which model is best for detecting malnutrition by evaluating the performance of classification using KNN with the Euclidean distance function.Methods: The dataset used in this study is the nutritional status of toddlers from Puskesmas Ubung. The classification method proposed in this research is the KNN algorithm with Euclidean distance. There are three scenarios for the classification model that will be used. Performance classification will compare each model in terms of accuracy, precision, recall, f1-score, and mean absolute error.Results: The experimental results show that KNN k = 15 using the first model generates excellent classification when classifying malnourished toddlers using the Euclidean distance function. The model obtains 91% accuracy, 86.6% precision, 83.8% recall, 85.2% recall, and a mean absolute error of 0.09.Novelty: In this experiment, we analyzed the performance of the KNN to classify malnourished children using a nutritional status dataset, which resulted in an excellent classification that could be used for early detection.
Aplikasi Mobile Native untuk Digital Cockpit pada Sistem Human Digital Twin Zein, Wahid Alfaridsi Achmad; Fadlil, Abdul; herman; Kunta Biddinika, Muhammad; Yulianto, Dinan
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.22-2.2206

Abstract

Teknologi Human Digital Twin telah membuka peluang baru dalamoptimalisasi sistem Digital Cockpit, terutama dalam pemantauankesehatan pengguna. Urgensi penelitian ini didorong oleh tingginyaangka kematian akibat penyakit kardiovaskular di Asia Tenggara,khususnya di Indonesia, yang menempati posisi kedua. Penelitian inibertujuan untuk mengembangkan dan mengintegrasikan teknologiHuman Digital Twin ke dalam Digital Cockpit, memungkinkanpemantauan kondisi kesehatan secara real-time melalui sensor yangtertanam dalam perangkat wearable. Data kesehatan yang diperoleh,diproses dan divisualisasikan dalam antarmuka interaktif yangdirancang dengan pendekatan low-fidelity wireframe menggunakanFigma, sehingga memudahkan pengguna dalam memahamiinformasi yang disajikan. Aplikasi diuji menggunakan metode BlackBox Testing untuk memastikan bahwa setiap fitur berfungsi sesuaidengan yang diharapkan tanpa memerlukan akses langsung ke kodeprogram. Selain itu, pengujian dilakukan dalam lingkungan simulasiuntuk mengevaluasi pengalaman pengguna serta efektivitas sistemdalam menyajikan informasi kesehatan. Hasil pengujianmenunjukkan bahwa sistem dapat beroperasi dengan baik sesuaidengan skenario yang dirancang, dengan antarmuka yang intuitif danresponsif terhadap interaksi pengguna. Penelitian ini berkontribusidalam bidang Teknologi Informasi dan Rekayasa Perangkat Lunakdengan menghadirkan solusi berbasis Human Digital Twin untukDigital Cockpit. Untuk pengembangan lebih lanjut, disarankaneksplorasi fitur prediktif berbasis kecerdasan buatan sertaoptimalisasi sistem agar dapat beradaptasi dengan berbagaiperangkat dan kebutuhan pengguna yang lebih luas.
Evaluating the implementation of E-portfolio-based learning in ELT through the CIPP model: A qualitative descriptive study in Indonesia Ali, Raden Muhammad; Hadi, Samsul; Purbani, Widyastuti; Nuriyah Muso Utomo, Sinta; Kunta Biddinika, Muhammad; Hastuti, Dwi
English Language Teaching Educational Journal Vol. 8 No. 3 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/eltej.v8i3.14853

Abstract

E-portfolios have increasingly been integrated into higher education to promote reflection, documentation, and learner autonomy; however, their effectiveness in English Language Teaching (ELT) in Indonesia remains insufficiently examined. This study evaluates the use of e-portfolio-based learning in an Evaluation in ELT course by employing the Context, Input, Process, and Product (CIPP) evaluation model. Four research questions guided the investigation, focusing on the relevance of the programme context, the adequacy of inputs, the implementation processes, and the resulting learning outcomes. Using a descriptive qualitative design, data were collected through classroom observations, semi-structured interviews, and documentation of students’ e-portfolios. The participants consisted of one lecturer and thirty-seven seventh-semester students (ten males and twenty-seven females) enrolled in the course during the 2022/2023 academic year; additionally, three students were purposively selected for in-depth interviews. The findings indicate that (1) the context supported the adoption of e-portfolios as it aligned with course needs and learning objectives; (2) the input—including digital facilities, infrastructure, and access to online tools—was adequate for implementation; (3) the process showed active student engagement, although challenges such as connectivity issues, device limitations, and time constraints were present; and (4) the product demonstrated positive learning outcomes, including improved documentation practices, better understanding of course material, and increased digital literacy. The study underscores the potential of e-portfolios to enhance ELT learning and suggests the need for more structured feedback mechanisms and technical support to optimise future implementation.
A Text-Based Analysis of SDGs Goal 4 Representation in Informatics and Computer Science Syllabi Ilmiana, Indah Rahma; Biddinika, Muhammad Kunta; Herman
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 2 (2025): November 2025 (In-Press)
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.v10i2.89955

Abstract

Higher education curricula play an important role in supporting the achievement of Sustainable Development Goals (SDGs), particularly SDGs Goal 4: Quality Education, through the development of relevant and sustainable learning. The purpose of this study is to look at the connections between the SDGs Goal 4 targets and the computer science and informatics curricula at universities on the island of Java. 552 course syllabi from current APTIKOM member universities are examined in this study using a text-based document analysis design. The analysis focuses on three frequently accessible syllabus components: course name, course description, and learning outcomes. The Term Frequency-Inverse Document Frequency (TF-IDF) approach was used to represent the textual data after it had been pre-processed and mapped using SDGs keywords to create initial labels. Support Vector Machine (SVM) was used as the comparison model and K-Nearest Neighbors (KNN) as the baseline model for the classification procedure. The results showed a strong relationship between most curricula and Target 4.4, which stresses the development of technical and digital skills. In terms of performance, the KNN model achieved an accuracy of 83%, while the SVM model showed a higher accuracy of 86% with more consistent performance on high-dimensional data and imbalanced class distributions. In conclusion, the syllabus analysis methodology based on keyword mapping and machine learning can be used as a systematic exploratory framework for identifying the relationship between higher education curriculum and SDGs.
Aplikasi Mobile Augmented Reality Tanpa Marker pada Perawatan Pasien Penyakit Jantung Herman, Herman; Pidekso Putro, Aldibangun; Biddinika, Muhammad Kunta
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 6: Desember 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025126

Abstract

Penelitian ini bertujuan merancang dan mengembangkan aplikasi Augmented Reality (AR) markerless berbasis Android bernama HerManAR (Heart of Human) yang ditujukan untuk mendukung perawatan pasien penyakit jantung. Aplikasi ini dirancang untuk menampilkan model 3D jantung manusia secara interaktif, sekaligus menyajikan informasi kondisi jantung pasien secara real-time. Metode pengembangan yang digunakan adalah Multimedia Development Life Cycle (MDLC), yang meliputi tahapan konseptualisasi, desain, pengumpulan materi, perakitan, pengujian, dan distribusi. Hasil penelitian menunjukkan bahwa aplikasi HerManAR berhasil berjalan dengan baik pada perangkat Android dan mampu memberikan visualisasi 3D jantung yang akurat serta informasi medis yang relevan. Dengan antarmuka yang intuitif dan mudah digunakan, aplikasi ini memungkinkan tenaga kesehatan untuk menganalisis kondisi jantung pasien secara lebih efektif, mendukung proses pengobatan, tindakan medis, dan monitoring berkelanjutan. Kesimpulannya, HerManAR merupakan solusi inovatif yang mengintegrasikan teknologi AR dalam bidang kesehatan kardiovaskular, memberikan manfaat praktis dalam meningkatkan kualitas layanan dan pengelolaan pasien penyakit jantung.   Abstract This study aims to design and develop an Android-based Augmented Reality (AR) application called HerManAR (Heart of Human) to support the care of patients with heart disease. The application is designed to display an interactive 3D model of the human heart while providing real-time information about the patient’s heart condition. The development method used is the Multimedia Development Life Cycle (MDLC), which includes the stages of conceptualization, design, material collection, assembly, testing, and distribution. The results demonstrate that HerManAR runs effectively on Android devices, delivering accurate 3D heart visualization and relevant medical information. With an intuitive and user-friendly interface, the application enables healthcare professionals to analyze patients’ heart conditions more effectively, supporting treatment, medical interventions, and continuous monitoring. In conclusion, HerManAR is an innovative solution that integrates AR technology into cardiovascular healthcare, offering practical benefits in enhancing service quality and patient management.  
Pelatihan manajemen pelaporan organisasi berbasis penulisan jurnal ilmiah Diyah Puspitarini; Nunung Damayanti; Nabilah Amalia; Mona Sholihah; Andre Kusnadi; Muhammad Kunta Biddinika
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 2 (2024): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i2.22848

Abstract

Abstrak Nasyiatul Aisyiyah (NA) sebagai ormas berperan penting dalam mendukung kehidupan bernegara. Karena itu NA perlu melakukan manajemen yang lebih baik dan rapi dalam mekanisme pelaporannya. Sayangnya, laporan-laporan kegiatan di NA masih berbentuk tumpukan kertas yang tidak terbaca oleh masyarakat. Padahal, laporan tersebut bisa menjadi satu sumbangsih keilmuan NA. Karena itu, Pimpinan Wilayah (PW) NA mengajak Universitas Ahmad Dahlan (UAD) supaya laporan-laporan kegiatannya lebih bermanfaat bagi masyarakat. Dengan skema pengabdian kepada masyarakat, UAD berkolaborasi dengan PWNA untuk memberikan wawasan dan pelatihan penggunaan mekanisme manajemen pelaporan dalam organisasi berbasis penulisan jurnal ilmiah. Peserta pelatihan adalah PWNA DI Yogyakarta dan perwakilan Pimpinan Daerah (PD) NA Yogyakarta, Sleman, Bantul, Gunungkidul, dan Kulonprogo. Topiknya adalah manajemen organisasi dan pengenalan publikasi ilmiah di jurnal akademik. Selain itu, ada pula pendampingan pembuatan tulisan ilmiah berdasarkan laporan kegiatan dalam organisasi. Karena masih masa pandemi Covid-19, pelatihan dilaksanakan secara blended method; luring dan daring, secara synchronous dan asynchronous learning. Alatnya adalah pendukung virtual class seperti Google Classroom, Zoom Meeting, maupun YouTube Streaming. Kegiatan ini dipublikasikan di jurnal pengabdian masyarakat atau prosiding seminar nasional. Kata kunci: manajemen organisasi; pelaporan kegiatan; publikasi ilmiah Abstract Nasyiatul Aisyiyah (NA) as an NPO plays an important role in the community system. Therefore, NA needs to conduct better and neater management including its reporting mechanisms. Currently, activity reports at NA are still in the piles of paper. They are unreadable publicly. Whereas they could be one of NA's contributions. Therefore, the Provincial Board of NA in Special Region of Yogyakarta (PWNA DIY) took the initiative to invite Ahmad Dahlan University (UAD) so that reports on its activities would have greater benefits for the community. With a community service program, UAD collaborates with PWNA to provide insight and training on the utilization of reporting management mechanisms in organizations based on scientific journal writing. The training participants were PWNA DIY and representatives of the Regency Board of NA (PDNA) from Yogyakarta, Sleman, Bantul, Gunungkidul and Kulonprogo. The topics were organizational management and the introduction of scientific publications in academic journals. There is also assistance in scientific writing based on organization’s activity reports. The training has been carried out in the blended method; offline and online, both synchronously and asynchronously due to Covid-19. It used Google Classroom, Zoom, and YouTube. This activity is also published in academic journals or seminar proceedings. Keywords: organizational management; activities reporting; scientific publication
Pengaruh Kepemimpinan Ketua Program Keahlian Terhadap Kualitas Lulusan Hidayat, Taufiq; Susatya, Edhy; Kunta Biddinika, Muhammad
Jurnal Impresi Indonesia Vol. 5 No. 2 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i2.7512

Abstract

Tujuan penelitian adalah, menganalisis; (1) kinerja ketua program keahlian terhadap mutu lulusan SMK Negeri 1 Wonosobo, (2) kendala ketua program keahlian dalam menyusun program kerja SMK Negeri 1 Wonosobo, dan (3) strategi ketua program keahlian untuk meningkatkan mutu lulusan SMK Negeri 1 Wonosobo. Metode penelitian kualitatif dengan langkah penelitian berbasis pada teori Creswell. Pengumpulan data melalui wawancara, observasi, dan analisis dokumen. Subyek penelitian; kepala sekolah, ketua program keahlian, guru, dan siswa. Obyek penelitian berfokus pada kinerja ketua program keahlian. Analisis data menggunakan teori Miles & Huberman yaitu; pengumpulan data, reduksi data, penyajian data, dan penarikan simpulan. Keabsahan data menerapkan triangulasi sumber dan teknik. Hasil penelitian; (1) kinerja Kaproli AKL menunjukkan performa baik dalam menjalankan tugas dan tanggung jawab. Berkualitas dalam; kepribadian dan sosial, kepemimpinan akademik, pengembangan program keahlian, manajemen sumber daya, kolaborasi dengan stakeholder, dan inovatif. Sedangkan Kaproli DKV memiliki celah dalam pelaksanaan tugas dan fungsi Kaproli, untuk itu perlu penguatan peran Kaproli sebagai motor penggerak mutu program keahlian, (2) Kaproli AKL dan DKV menghadapi tantangan dalam menyusun dan melaksanakan program pembelajaran efektif dan responsif. Kendala antara lain; (a) kesenjangan antara perencanaan dengan implementasi pembelajaran, (b) lemahnya supervisi akademik, (c) tantangan implementasi kurikulum merdeka, dan (d) keterbatasan sarana prasarana dan sumber daya, (3) Kaproli AKL dan DKV telah menunjukkan strategi berorientasi hasil, berfokus pada siswa, dan proaktif terhadap dunia industri. Namun, masih menghadapi persoalan dalam pendidikan vokasi, yaitu; (a) kebutuhan penguatan manajerial dan kepemimpinan, (b) pengembangan SDM guru, dan (c) adaptasi terhadap dinamika industri dan teknologi.
Co-Authors Abdul Fadlil Abrar Ridwan Aditya Kolakoti Affan, Dhava Chairul Agus Aktawan, Agus Agus Susanto, Harry Ahmad Azhari Ahmad Kafrawi Nasution Al Baqir, Mufaddal Aldibangun Pidekso Putro Aldri Frinaldi Alfaridhi, Dio Fahmi Alghiffari, Eka Kevin Ali, Raden Muhammad Aliyah Rasyid Baswedan Alper Calam Aminuyati Amrullah, Abdullathif Karim Ananda, Anisa Rizki Andre Kusnadi 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 Chuma Opwora, Meshack Dahlan, Bakrun 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 Febriyanto, Bayu Fitri Nur Mahmudah Fitri Nur Mahmudah Fitriah Fitriah Fitriah Fumitake Takahashi Gilang Isa Baskara Harinto, Joko Hasanah , Noviatun Hasanah, Noviatun Herman Herman Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah, Herman Husna, Jannatul Ikhlasul Amal Ilmiana, Indah Rahma Imam Riadi Indryanto, Mokhamad Arif Irhash Ainur Rafiq Jogo Samodro, Maulana Muhamammad Junedi Haryanto Kamis, Arasinah Karima Anggita Wijayanti Kariyamin, Kariyamin Khoirul Anam Dahlan Khoirul Ma’arif, Muhammad Kintung Prayitno, Kintung Kurniasih, Indri M. Yogi Riyantama Isjoni Martomo Setyawan Martomo Setyawan Maulana Muhammad Jogo Samudro Maulana, Irvan Mbuo, Wilda Moch. Nasheh Annafii Mochamad Syamsiro Mona Sholihah Muhajir Yunus Muhamad Agus Sriyono Muhamad Alwi Talib Muhammad Aziz Muhammad Eko Agung Nugroho Muhammad Fahmi Mubarok Nahdli Muhammad Sayuti Muji Setiyo Murinto Musfirah Nabilah Amalia Nadia Wati Aprianti Nadia, Hafizhatu Nofikusumawati Peni, Nur Robiah Nor Azwadi Che Sidik Nunung Damayanti Nur Mahmudah, Fitri Nur Makkie Perdana Kusuma Nur Setyanto, Barry Nuriyah Muso Utomo, Sinta Nurwijayanti Olusegun David Samuel Opwora, Meshack Pamungkas , Rani Rahmawati Peni, Nur Robiah Nofi Kusumawati Pidekso Putro, Aldibangun 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 Samsul Hadi Satriya Dwi Putra Sayuti, Muhammad Setiawati, Nelly Setyawati, Nelly Shun-ichiro Ohmi Sonny Abriantoro Wicaksono Sri Mulyani Srikandi Novianti Subekti, Dewi Ani Sugeng Santoso Sugianti, Ardina Fitri Suhendra Sunardi, Sunardi Suprap, Suprap Susanto, Harry Agus Suwanti Suwanti Suwanti Suwardi Suwardi Syahputra, Derly Syahrani Lonang Syamsiar, Syamsiar Taufiq Hidayat Tri Kuat Tri Kuat, Tri Triawan, Farid Tristanti, Novi Tuessi Ari Purnomo Wadiyo Wadiyo Widyastuti Purbani Wijantoro, Fuad Wijayanti, Karima Anggita Wiwik Handayani Yulianto, Dinan Yunisa, Fahmi Yuwantina, Anissa Zein, Wahid Alfaridsi Achmad