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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Transformatika WARTA Emitor: Jurnal Teknik Elektro Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Sosial Ekonomi Perikanan Jurnal Ilmiah Dinamika Rekayasa (DINAREK) ITEj (Information Technology Engineering Journals) Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Li Falah: Jurnal Studi Ekonomi dan Bisnis Islam JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang Jurnal Elektronika dan Telekomunikasi Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Ilmiah Sinus Jurnal Teknik Elektro Uniba (JTE Uniba) Indonesian Journal of Electrical Engineering and Computer Science JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika Jurnal Teknik Informatika (JUTIF) Infotech: Jurnal Informatika & Teknologi Jurnal Pendidikan dan Teknologi Indonesia Arkus Journal of Technology and Informatics (JoTI) Jurnal Abdi Masyarakat Indonesia Waniambey: Journal of Islamic Education International Journal Software Engineering and Computer Science (IJSECS) Prosiding Konferensi Nasional PKM-CSR Jurnal Manajemen dan Teknologi Informasi Jurnal Nasional Teknologi Komputer Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Proceeding ISETH (International Summit on Science, Technology, and Humanity) Abdi Teknoyasa Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) The Indonesian Journal of Computer Science Jurnal Al-Hikmah Way Kanan Journal of Islamic Economic Laws Jurnal Pengabdian Masyarakat Terapan
Dedi Gunawan
Universitas Muhammadiyah Surakarta
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Penentuan Siswa Terbaik Dengan Metode Simple Additive Weighting (SAW) Dalam Sistem Informasi Akademik Berbasis Android Di Paud Delima Vii Bekasi Furqan, Muhammad; Gunawan, Dedi
JUKI : Jurnal Komputer dan Informatika Vol. 5 No. 2 (2023): JUKI : Jurnal Komputer dan Informatika, Edisi Nopember 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/juki.v5i2.260

Abstract

The Study discusses implementation the method Simple Additive Weight (SAW) in the android based academic information system in Paud Delima VII Bekasi to determine the best student and provide information relating to the academic. This information system in use to facilitate student academic data management and assist in decision making regarding student achievement assessments and specify the best student. In this study an android information system was developed to allow users to input and manage student data, such as test score, academic achievements, attendance levels, and other attributes that are relevant and will be used as criteria in determining the best students. The Simple Additive Weight (SAW) method is used to assess and provide weight that reflect levels of consistent interest in determining the best student assessment criteria. After weight is given, the system will be calculate the total value of each student by the corresponding value criteria. The highest total student will be regarded as the best. The Simple Additive Weight (SAW) is selected because of its strengths in combining various criteria on a priority scale.
FUNGSI SUPERVISI UNTUK MENINGKATKAN MUTU PENDIDIKAN Dinata, Feri Riski; Ritonga, Hotman Sugeng; Gunawan, Dedi; Nailurrachman, M. Tariq; Nasor, M. Nasor
Jurnal Al-Hikmah Vol. 4 No. 2 (2023): Al-Hikmah Way Kanan
Publisher : LP2M STIT Al-Hikmah Way Kanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63097/awh.v4i2.55

Abstract

Pendidikan di Indonesia belum maksimal, padahal Indonesia adalah negara yang mempunyai banyak Sumber Daya Manusia (SDM). Tetapi SDM tersebut belum mampu bersaing secara internasional hal ini disebabkan oleh prestasi yang masih rendah. Penelitian ini merupakan studi pustaka terhadap mutu pendidikan di Indonesia. Penelitian ini bertujuan untuk menganalisis peran supervisi pendidikan dalam meningkatkan mutu pendidikan. Metode penelitian yang digunakan dalam penelitian ini adalah metode deskriptif kualitatif. Jenis data yang digunakan dalam penelitian ini adalah data kualitatif, yang dikategorikan menjadi dua jenis, yaitu data primer dan data sekunder. Sumber data diperoleh melalui teknik penelitian kepustakaan (library study) yang mengacu pada sumber yang tersedia baik online maupun offline seperti: jurnal ilmiah, buku dan berita yang bersumber dari sumber terpercaya. Hasil penelitian menyimpulkan bahwa supervisi dirancang untuk mengembangkan dan meningkatkan profesionalisme guru sehingga guru tersebut dapat berkembang dalam pekerjaannya. Tujuannya adalah untuk meningkatkan efektivitas dan efisiensi proses belajar mengajar. Hasil dari penelitian menunjukkan supervisi pendidikan memiliki fungsi berupa koordinator, konsultan, evaluator. Langkah-langkah dalam melakukan supervisi dibagi kedalam 3 langkah, yaitu: perencanaan, pelaksanaan, evaluasi.
SYSTEMATIC LITERATURE REVIEW PENGGUNAAN AHP-TOPSIS DALAM MENYELESAIKAN MASALAH BIDANG PENDIDIKAN Al Farisi, Mu'taz; Gunawan, Dedi
Jurnal Informatika Vol 9, No 4 (2025): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v9i4.14942

Abstract

Pengambilan keputusan multikriteria merupakan tantangan dalam bidang pendidikan yang menuntut pendekatan objektif dan terstruktur. Metode Analytic Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) banyak digunakan karena kemampuannya menyederhanakan masalah kompleks serta efisiensi komputasinya. Penelitian ini bertujuan melakukan Systematic Literature Review (SLR) terhadap penerapan metode AHP-TOPSIS di bidang pendidikan pada periode 2021–2025. Fokus kajian meliputi konsep dasar, pola integrasi metode, efektivitas, faktor yang memengaruhi akurasi, serta tren publikasi ilmiah dalam lima tahun terakhir. Data diperoleh dari Google Scholar dengan kata kunci “AHP TOPSIS pendidikan” dan “decision support system AHP-TOPSIS.” Dari 200 artikel awal, setelah penyaringan berdasarkan kriteria inklusi dan eksklusi, terpilih 36 artikel yang layak dianalisis. Hasil kajian menunjukkan bahwa AHP umumnya digunakan untuk menentukan bobot kriteria secara hierarkis, sedangkan TOPSIS digunakan untuk merangking alternatif berdasarkan kedekatan dengan solusi ideal. Kombinasi AHP-TOPSIS banyak diterapkan pada sistem pendukung keputusan pendidikan, khususnya dalam seleksi mahasiswa, evaluasi kinerja, dan pemilihan program studi. Efektivitas metode ini dinilai tinggi dalam meningkatkan objektivitas dan akurasi, meskipun tidak semua studi mengevaluasinya secara eksplisit.
Implementasi Algoritma Priority Scheduling Sistem Informasi Pelayanan Administrasi Kependudukan Desa Rohmah, Alifah Alfiatur; Gunawan, Dedi
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 3 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i3.4891

Abstract

Pelayanan administrasi di desa seringkali masih menerapkan metode manual dalam pelaksanaanya yang mengharuskan masyarakat datang secara langsung ke kantor desa. Selain itu, pelayanan yang masih manual juga menyulitkan petugas kantor desa dalam menentukan urutan pemrosesan surat yang harus diverifikasi terlebih dahulu, akibatnya banyak surat yang seharusnya sudah diselesaikan namun prosesnya masih berjalan. Oleh sebab itu, tujuan dilakukan penelitian ini berfokus pada perancangan sistem informasi yang dapat membantu masyarakat dalam pengajuan pembuatan surat serta sistem yang dapat membantu petugas kantor desa dalam menentukan prioritas surat yang harus diverifikasi terlebih dahulu dengan mengimplementasikan algoritma priority scheduling. Dalam penelitian ini, metode yang digunakan melingkupi perancangan algoritma priority scheduling yang diimplementasikan ke dalam sistem serta perancangan perangkat lunak menggunakan metode SDLC waterfall. Perancangan algoritma priority scheduling berupa penentuan urutan prioritas serta pembuatan pseudocode dari algoritma. Hasil dari penelitian ini adalah sebuah sistem informasi pelayanan administrasi kependudukan yang mengimplementasikan algoritma priority scheduling dalam proses pengurutan surat. Berdasarkan hasil pengujian menggunakan metode blackbox aplikasi berjalan tanpa ada error, 0% kegagalan dan berjalan sesuai fungsinya. Sedangkan pengujian SUS menunjukkan bahwa aplikasi berada pada level good dengan skor 75,25.
Combination of Mobile Infrastructure Based Routing Protocol and RSU-Advertisement Routing Protocol in Urban VANET Gunawan, Dedi; Nugroho, Yusuf Sulistyo
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2016: Proceeding ISETH (International Conference on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2378

Abstract

Vehicular ad hoc network (VANET) is a subclass of mobile ad hoc network (MANET), in which it is used to support intelligent transportation system. Generally, the main problem in VANET is in routing protocol. This is a challenging task due to the fact that moving object with certain direction and speed always changes the network topology quickly. Some routing protocols actually have been proposed to deal with routing complexity. In this paper we proposed new approach which was combining the existing routing protocol in order to reduce the dropping package in dynamic environment. By combining mobile infrastructure base routing (MIBR) and advertisement routing, the packet loss could be reduced. MIBR used certain type of vehicle on the road as the priority of routing hop. While, placing fixed wireless infrastructure in the roadside (RSU) would be helpful in case of traffic jam, since it could forward the package to the most far targeted vehicle when other vehicle hop experiences stuck.
Decision Tree Induction for Classifying the Cholesterol Levels Nugroho, Yusuf Sulistyo; Gunawan, Dedi
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2016: Proceeding ISETH (International Conference on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2384

Abstract

Cholesterol is a soft, yellow, and fatty substance produced by the body, mainly in the liver. Every day, liver produces about 800 milligrams of cholesterol which is derived from animal products, seafood, milk, and dairy products. At normal levels, cholesterol is useful for health, because it is one of the essential fats required by the body for cell formation. Meanwhile, cholesterol levels are classified into three categories: normal, high, and low. The cholesterol levels can be affected by several factors that are sometimes not widely known by common people. The objective of this study was to determine the level of significance of each factor that affects cholesterol levels and to find the value of accuracy, precision and recall of the algorithms used in decision tree induction. The selection criterions used were the information gain, gini index and gain ratio to find the level of significance of the factors that affect cholesterol levels. Variables that affect cholesterol levels divided into four types, namely gender, age, history of smoking, and history of diabetes. The result showed that the most influence factors on cholesterol levels based on training data processed using three algorithms was the history of diabetes. Meanwhile, the highest accuracy was obtained by the information gain which was 56.14%. The recall values were distributed evenly for all three algorithms, it indicated the equality of those three algorithms. The information gain and the gain ratio had equal precision values (57.58%), however, they had higher precision in compared with the gini index. In contrast, the gain ratio was higher than the information gain and the gini index concerning with the RMSE of 0.564.
Analisis Pola Pelanggaran Tata Tertib siswa untuk Meminimalisir Kasus Pelanggaran dengan Algoritma FP-Growth Firmansyah, Eka; Gunawan, Dedi
Jurnal Informatika Universitas Pamulang Vol 10 No 2 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jiup.v10i2.52258

Abstract

This research is motivated by the number of transactions in the last five years (2019–2023), 80% of students have a level of discipline violation, indicating the need for more strategic discipline. This study aims to analyze the systemic relationship between various types of participants to identify the causes of the problem. The method used in data mining is the FP-Growth algorithm, which is applied to 1,500 historical data points with a minimum support of 0.1 and a confidence level of 0.7. The analysis results show 15 significant pattern associations, with the strongest correlation between "Late → Not doing assignments" (confidence 0.83) and "Truancy → Smoking in school areas" (confidence 0.75, lift 2.5). This forms the basis for data-driven intervention recommendations, such as the implementation of the "Morning Check-in" program and the implementation of supervision in vulnerable areas, which will provide practical support to improve the effectiveness of school discipline management across schools.
Benchmarking Hyperparameter Variations on Transfer Learning Models for Coral Reefs Classification: A Case Study on Efficientnetv2 and Mobilenetv2 Bimantyoso Hamdikatama; Dedi Gunawan; Kusrini Kusrini
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 1 (2025): Februari 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i1.8792

Abstract

Abstract - Coral reef recognition using transfer learning models is a critical area of research to enhance automated monitoring and conservation efforts. This study examines the impact of hyperparameter tuning on the performance of two models, EfficientNetV2 and MobileNetV2, in recognizing coral reef conditions such as bleaching, physical damage, and algae overgrowth. Bayesian Optimization is evaluated as an automated hyperparameter tuning method alongside Grid Search, Random Search, and Manual Trial-based approaches. The results reveal that Bayesian Optimization achieves competitive accuracy (up to 0.81) and balances computational efficiency with performance, requiring fewer trials compared to manual optimization. Notably, Bayesian Optimization reduces training time while maintaining high metrics such as Precision and Specificity. These findings highlight the effectiveness of Bayesian Optimization in improving model performance for coral reef recognition, offering a reliable and efficient solution to support conservation decision-making. This approach also demonstrates potential for broader applications in classification and regression tasks.Keywords: EfficientNetV2, MobileNetV2, Optimization, Coral Reefs Abstrak - Pengenalan terumbu karang menggunakan model pembelajaran transfer adalah bidang penelitian yang penting untuk meningkatkan upaya pemantauan dan konservasi otomatis. Penelitian ini menguji dampak penyetelan hyperparameter pada kinerja dua model, EfficientNetV2 dan MobileNetV2, dalam mengenali kondisi terumbu karang seperti pemutihan, kerusakan fisik, dan pertumbuhan berlebih alga. Bayesian Optimization dievaluasi sebagai metode penyetelan hiperparameter otomatis bersama dengan Pencarian Grid, Pencarian Acak, dan pendekatan berbasis Uji Coba Manual. Hasilnya menunjukkan bahwa Bayesian Optimization mencapai akurasi yang kompetitif (hingga 0,81) dan menyeimbangkan efisiensi komputasi dengan kinerja, sehingga membutuhkan lebih sedikit uji coba dibandingkan dengan pengoptimalan manual. Selain itu, Bayesian Optimization mengurangi waktu pelatihan dengan tetap mempertahankan metrik yang tinggi seperti Presisi dan Spesifisitas. Temuan ini menyoroti efektivitas Optimasi Bayesian dalam meningkatkan kinerja model untuk pengenalan terumbu karang, menawarkan solusi yang andal dan efisien untuk mendukung pengambilan keputusan konservasi. Pendekatan ini juga menunjukkan potensi untuk aplikasi yang lebih luas dalam tugas klasifikasi dan regresi.Kata kunci: EfisienNetV2, MobileNetV2, Optimasi, Terumbu Karang
Co-Authors Ahimsa Prana Aditya Ahmad Rozin Ahmad. M Fuadi Ahsanul Amal, Muhammad Ahyana Ilham Wibisono Aisyah Mutia Dawis Aji Ari Adam Al Farisi, Mu'taz Aldafi Prana Tantri Alfian Yulianto Ali Zainal Abidin amal, Muhammad ahsanul Amri Zadi Hudaya Anas Faridrahman Anfaisa, Anfaisa Ibnu Danar Dana Annisa Kusumastuti Apriliana, Cindi Dila Ardhani, Rahmad Ariefin Nur Hidayat Arrijal Amar Ma'ruf ASRORI, M ACHMAD Avifah Hasna Nur Fadila Ayu Putri Wardhani Badrus Zaman, Akhmad Roja Basuki, Sucipto Bimantyoso Hamdikatama Budi Santoso Dadang Iskandar Mulyana` Dadang Iskandar, Dadang Dandi Katerpilarifai Dandung Rahmatdhan Dasim, Dasim Devi Afriyantari Puspa Putri Dewi Sasika Rani Diah Priyawati Diah Priyawati Dimas Fajar Saputro Dita Pratama Eka Firmansyah Fahira, Dea Fahlevi, Rezza Fatah Yasin Al Irsyadi fatah yasin irsyadi, fatah yasin Feri Riski Dinata Fitri Kurniawan Galardhia Zain Azzahra Goestjahjanti, Francisca Sestri Hanafi, Syafiq Mahmadah Hanggaraxsha, Irwan Harisnur, Alvian Hasyim Asyari Helmi Imaduddin Hernanda, Rizka Hudzaifah, Salim Maula Husein Ihsan Cahyo Utomo Ilham Adhi Septanto Islam, Syful Ismail Setiawan Istajib Kulla Himmy’azz Ita Permatahati Ivanovick Abdurrakhman Ar Raniri Kumoro, Dwi Ferdiyatmoko Cahya Kurniawan, Yogiek Indra Kusrini Kusrini Kusumastuti, Annisa Mahendra, Galuh Raka Miftakhul Choiri Mila Faila Sufa Minallah, Aldin Nasrun Muhammad Davit Hilal Fahri Muhammad Furqan, Muhammad Muhammad Iqbal Hafidz Muslimawati, Dinny Patria Nabil Aziz Bima Anggita Nadia, La Ode Abdul Rajab Naila Khairunnisa Nailurrachman, M. Tariq Nasor, M. Nasor Nur Rohmah, Arini Nurasiah Nurasiah Pratomo Budi Santosa Prilya Shanty Adrianie Rahman, Ahmada Auliya Rahmatika, Hamni Kamal Raka Mahendra, Galuh Ramadhan, Muhammad Rivai Putra Reza Rendian Septiawan Rifa’I , Ahmad Ritonga, Hotman Sugeng Robby Nugroho Setyawan Rohmah, Alifah Alfiatur Rohmah, Arini Nur Rosmawati Rusnilawati Sadid, Muhammad Arib Umar Salsabilla Nuraini, Arwinda Sania Citra Palupi Saputra, Masud Adhi Septanto, Ilham Adhi Sigit Setiyanto Siti Fatimah Sukoco, Bambang Suwanto Suwanto Syamsuri Titis Sri Wulan Tri Agus Setiawan Umar Ali Ahmad Verania Nur Andika Waqiah Wibowo, Rama Aziz Widi Widayat WINANTI, WINANTI Yasir Sidiq Yayuk Chayatun Machsunah Yogatama Dwi Prasetya Yusuf Sulistyo Nugroho Zudana , Kirana Maharani